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+{"cells":[{"cell_type":"markdown","metadata":{"id":"m70qqlBB1W22"},"source":["# INFORME ESTADÍSTICO: DATASET CURSOS UDEMY\n","Gonzalo López Blanquer y Eduardo Abad Zabala\n"]},{"cell_type":"markdown","metadata":{"id":"yDAoU8FNy4zt"},"source":["A continuación vamos a analizar una base de datos de UDEMY, donde tenemos información acerca de los diferentes cursos y sus características.\n"]},{"cell_type":"markdown","metadata":{"id":"8GRYzzU41W24"},"source":["Como primer paso, hemos importado todas las librerías que usaremos para el documento"]},{"cell_type":"code","source":["!pip install fitter"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xyRENCawBlxd","executionInfo":{"status":"ok","timestamp":1732831259625,"user_tz":-60,"elapsed":4341,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"e99de00a-c24e-431e-de41-0d6c82730508","collapsed":true},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting fitter\n","  Downloading fitter-1.7.1-py3-none-any.whl.metadata (8.2 kB)\n","Requirement already satisfied: click<9.0.0,>=8.1.6 in /usr/local/lib/python3.10/dist-packages (from fitter) (8.1.7)\n","Requirement already satisfied: joblib<2.0.0,>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from fitter) (1.4.2)\n","Collecting loguru<0.8.0,>=0.7.2 (from fitter)\n","  Downloading loguru-0.7.2-py3-none-any.whl.metadata (23 kB)\n","Requirement already satisfied: matplotlib<4.0.0,>=3.7.2 in /usr/local/lib/python3.10/dist-packages (from fitter) (3.8.0)\n","Requirement already satisfied: numpy<2.0.0,>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from fitter) (1.26.4)\n","Requirement already satisfied: pandas<3.0.0,>=0.23.4 in /usr/local/lib/python3.10/dist-packages (from fitter) (2.2.2)\n","Collecting rich-click<2.0.0,>=1.7.2 (from fitter)\n","  Downloading rich_click-1.8.4-py3-none-any.whl.metadata (7.9 kB)\n","Requirement already satisfied: scipy<2.0.0,>=0.18.0 in /usr/local/lib/python3.10/dist-packages (from fitter) (1.13.1)\n","Requirement already satisfied: tqdm<5.0.0,>=4.65.1 in /usr/local/lib/python3.10/dist-packages (from fitter) (4.66.6)\n","Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (1.3.1)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (0.12.1)\n","Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (4.55.0)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (1.4.7)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (24.2)\n","Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (11.0.0)\n","Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (3.2.0)\n","Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib<4.0.0,>=3.7.2->fitter) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3.0.0,>=0.23.4->fitter) (2024.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas<3.0.0,>=0.23.4->fitter) (2024.2)\n","Requirement already satisfied: rich>=10.7 in /usr/local/lib/python3.10/dist-packages (from rich-click<2.0.0,>=1.7.2->fitter) (13.9.4)\n","Requirement already satisfied: typing-extensions>=4 in 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\u001b[36m0:00:00\u001b[0m\n","\u001b[?25hDownloading rich_click-1.8.4-py3-none-any.whl (35 kB)\n","Installing collected packages: loguru, rich-click, fitter\n","Successfully installed fitter-1.7.1 loguru-0.7.2 rich-click-1.8.4\n"]}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"wJ-mQf4xy-EK"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import scipy.stats as st\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","import statsmodels.api as sm\n","from fitter import Fitter\n","\n"]},{"cell_type":"markdown","metadata":{"id":"Ov5Tw6l7y20W"},"source":["\n","\n","- Seaborn y Matplotlib nos permitirán la visualización de los datos en forma de distintos gráficos.\n","\n","- pandas la utilizamos para el tratamiento y manipulación del dato.\n","\n","- Numpy nos sirve para trabajar con cálculos numéricos y arrays.\n","\n","- statsmodel.api nos sirven para profundizar más en el análisis estadístico, como a través de regresiones o pruebas de normalidad.\n","\n","- Scipy.stats incluye herramientas de estadística avanzada, como contrastes de hipótesis, intervalos de confianza o explorar distribuciones de los datos.\n","\n","- Fitter nos sirve para ver a qué distribución se parece más nuestra función.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":74},"id":"mbYvHX3P2YPQ","executionInfo":{"status":"ok","timestamp":1732831537803,"user_tz":-60,"elapsed":154348,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"9c463164-088f-463b-e001-1bd0ed4f778c"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","     <input type=\"file\" id=\"files-90fc983b-f3e1-4794-bc47-27a38e652b57\" name=\"files[]\" multiple disabled\n","        style=\"border:none\" />\n","     <output id=\"result-90fc983b-f3e1-4794-bc47-27a38e652b57\">\n","      Upload widget is only available 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True    200   \n","1         https://www.udemy.com/goods-and-services-tax/     True     75   \n","2     https://www.udemy.com/financial-modeling-for-b...     True     45   \n","3     https://www.udemy.com/complete-excel-finance-c...     True     95   \n","4     https://www.udemy.com/how-to-maximize-your-pro...     True    200   \n","...                                                 ...      ...    ...   \n","3673  https://www.udemy.com/easy-jquery-for-beginner...     True    100   \n","3674  https://www.udemy.com/how-to-make-a-wordpress-...     True     25   \n","3675  https://www.udemy.com/learn-and-build-using-po...     True     40   \n","3676  https://www.udemy.com/css-animations-create-am...     True     50   \n","3677  https://www.udemy.com/using-modx-cms-to-build-...     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Elección de datos y breve descripción de su naturaleza"]},{"cell_type":"markdown","metadata":{"id":"FeQS54Q04-_n"},"source":["### Naturaleza de los datos\n","\n","Como podemos observar, tenemos 11 variables diferentes y cada una nos ofrece una información distinta.\n","\n","En cuanto al tipo de dato/variable, podemos diferenciar entre :\n","\n","- CUANTITATIVAS : variables que se muestran con números\n","\n","  - Discretas : números enteros\n","    \n","  - Continuas : numeros con decimales\n","\n","- CATEGÓRICAS : variables que se muestran con etiquetas o nombres\n","\n","  - Nominativas: etiquetas\n","\n","  - Ordinales: etiquetas con un orden\n","\n","Analizando la tipología de las variables de nuestro dataset observamos que :\n","\n","\n","\n","- **Variables categóricas** --> subject, level, is_paid, course_id, course_title, url, published_timestamp\n","\n","- **Variables cuantitativas**:\n","    - **Variables discretas** --> price, num_suscribers, num_reviews, num_lectures\n","    - **Variables continuas** --> content_duration\n"]},{"cell_type":"markdown","metadata":{"id":"bXFxSo4l1W26"},"source":["Vemos las columnas/variables del dataset"]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":364,"status":"ok","timestamp":1732831561618,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"rdURv-Lz1W26","colab":{"base_uri":"https://localhost:8080/"},"outputId":"64132136-89a4-43a4-8b72-3174b80d0f40"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['course_id', 'course_title', 'url', 'is_paid', 'price',\n","       'num_subscribers', 'num_reviews', 'num_lectures', 'level',\n","       'content_duration', 'published_timestamp', 'subject'],\n","      dtype='object')"]},"metadata":{},"execution_count":9}],"source":["data.columns"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":359,"status":"ok","timestamp":1732831565068,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"8vnqwpdC1W27","outputId":"cf77233c-1150-4b1d-f37e-fac39a5e5cd4"},"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 3678 entries, 0 to 3677\n","Data columns (total 12 columns):\n"," #   Column               Non-Null Count  Dtype  \n","---  ------               --------------  -----  \n"," 0   course_id            3678 non-null   int64  \n"," 1   course_title         3678 non-null   object \n"," 2   url                  3678 non-null   object \n"," 3   is_paid              3678 non-null   bool   \n"," 4   price                3678 non-null   int64  \n"," 5   num_subscribers      3678 non-null   int64  \n"," 6   num_reviews          3678 non-null   int64  \n"," 7   num_lectures         3678 non-null   int64  \n"," 8   level                3678 non-null   object \n"," 9   content_duration     3678 non-null   float64\n"," 10  published_timestamp  3678 non-null   object \n"," 11  subject              3678 non-null   object \n","dtypes: bool(1), float64(1), int64(5), object(5)\n","memory usage: 319.8+ KB\n"]}],"source":["data.info()"]},{"cell_type":"markdown","metadata":{"id":"pi9uyyf35H93"},"source":["Observamos el tipo de dato de cada variable, como el caso de num_reviews, num_lectures, num_subscribers són datos enteros (int64).\n","\n","Otras variables como content_duration són de tipo float (decimal).\n","\n","La variable is_paid es de tipo booleano (yes/no)."]},{"cell_type":"code","source":["data.describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"i9Gdlgc2K-kG","executionInfo":{"status":"ok","timestamp":1732831571575,"user_tz":-60,"elapsed":392,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"04f5cd01-2190-4424-fd91-2a80e1fefc50"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["          course_id        price  num_subscribers   num_reviews  num_lectures  \\\n","count  3.678000e+03  3678.000000      3678.000000   3678.000000   3678.000000   \n","mean   6.759720e+05    66.049483      3197.150625    156.259108     40.108755   \n","std    3.432732e+05    61.005755      9504.117010    935.452044     50.383346   \n","min    8.324000e+03     0.000000         0.000000      0.000000      0.000000   \n","25%    4.076925e+05    20.000000       111.000000      4.000000     15.000000   \n","50%    6.879170e+05    45.000000       911.500000     18.000000     25.000000   \n","75%    9.613555e+05    95.000000      2546.000000     67.000000     45.750000   \n","max    1.282064e+06   200.000000    268923.000000  27445.000000    779.000000   \n","\n","       content_duration  \n","count       3678.000000  \n","mean           4.094517  \n","std            6.053840  \n","min            0.000000  \n","25%            1.000000  \n","50%            2.000000  \n","75%            4.500000  \n","max           78.500000  "],"text/html":["\n","  <div id=\"df-84a85c21-03ef-49d0-9d41-8b6257e51522\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: 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'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","summary":"{\n  \"name\": \"data\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"course_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 446378.8705470939,\n        \"min\": 3678.0,\n        \"max\": 1282064.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          675971.9632952692,\n          687917.0,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1277.2044021211534,\n        \"min\": 0.0,\n        \"max\": 3678.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          66.0494834148994,\n          45.0,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_subscribers\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 94120.13056666977,\n        \"min\": 0.0,\n        \"max\": 268923.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3197.150625339859,\n          911.5,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9541.03023905795,\n        \"min\": 0.0,\n        \"max\": 27445.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          156.25910821098424,\n          18.0,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_lectures\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1279.411064917688,\n        \"min\": 0.0,\n        \"max\": 3678.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          40.108754758020666,\n          25.0,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"content_duration\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1295.784397637758,\n        \"min\": 0.0,\n        \"max\": 3678.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          4.094516947616459,\n          2.0,\n          3678.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":11}]},{"cell_type":"markdown","metadata":{"id":"eJf_ivWV5Klv"},"source":["**Limpieza del dato**\n","\n","Hemos visto que en nuestro dataset hay alguna variable que no nos aporta ningún valor, como es el caso de 'course_id' y 'url'. Por tanto vamos a eliminarlas de nuestro dataset . De esta manera nos queda el dataset más limpio y claro ."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"yyQFdLRZ5L7h"},"outputs":[],"source":["data=data.drop(columns={'course_id','url'})\n"]},{"cell_type":"markdown","source":["Con el data.describe() que hemos ejecutado una líneas arriba podemos ver que hay cursos que tienen duración= 0, número de suscriptores= 0. Estos cursos no tendrán sentido en nuestro dataset, ya que no aportan información real"],"metadata":{"id":"WLqCn_o5LKi-"}},{"cell_type":"code","source":["data[data['content_duration'] == 0].count()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"id":"xNFQgc8XLpru","executionInfo":{"status":"ok","timestamp":1732831675957,"user_tz":-60,"elapsed":461,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"2ace94a7-08b5-4c43-fdbe-6ca809444a3d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["course_title           1\n","is_paid                1\n","price                  1\n","num_subscribers        1\n","num_reviews            1\n","num_lectures           1\n","level                  1\n","content_duration       1\n","published_timestamp    1\n","subject                1\n","dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>course_title</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>is_paid</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>price</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>num_subscribers</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>num_reviews</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>num_lectures</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>level</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>content_duration</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>published_timestamp</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>subject</th>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":13}]},{"cell_type":"markdown","source":["Vemos que solo es un curso el que no tiene duración. No lo eliminamos ya que aparte de que no afectará mucho a los valores de nuestro dataset. Se puede deber a que no tenga vídeos y solo contenido en pdf por ejemplo. Ahora trataremos los cursos que no tienen suscriptores"],"metadata":{"id":"CnIgSxdKONTN"}},{"cell_type":"code","source":["data['published_timestamp'] = pd.to_datetime(data['published_timestamp'])\n","data['year_published'] = data['published_timestamp'].dt.year\n","courses_by_year = data.groupby('year_published').size()\n","print(courses_by_year)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kZzvuZqSKiSJ","executionInfo":{"status":"ok","timestamp":1732831702221,"user_tz":-60,"elapsed":360,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"14aa76f7-a6a8-413f-a3ff-b89bf3485004"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["year_published\n","2011       5\n","2012      45\n","2013     202\n","2014     491\n","2015    1014\n","2016    1206\n","2017     715\n","dtype: int64\n"]}]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":646,"status":"ok","timestamp":1732831723830,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"HElsJJKKHP3V","outputId":"381618dd-ea51-4e93-9b4d-aed7f93ca41d"},"outputs":[{"output_type":"stream","name":"stdout","text":["453     2016\n","454     2017\n","455     2017\n","456     2017\n","457     2017\n","        ... \n","2402    2017\n","2403    2017\n","2404    2017\n","2405    2017\n","2418    2017\n","Name: year_published, Length: 70, dtype: int32\n"]}],"source":["courses_no_subscribers = data[data['num_subscribers'] == 0]\n","print(courses_no_subscribers['year_published'])"]},{"cell_type":"code","source":["courses_no_subscribers.count()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":429},"id":"ERUWHxlQPO-5","executionInfo":{"status":"ok","timestamp":1732831736477,"user_tz":-60,"elapsed":398,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"a6277151-1d5f-48e1-e0a5-bb5d83de523f"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["course_title           70\n","is_paid                70\n","price                  70\n","num_subscribers        70\n","num_reviews            70\n","num_lectures           70\n","level                  70\n","content_duration       70\n","published_timestamp    70\n","subject                70\n","year_published         70\n","dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>course_title</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>is_paid</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>price</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>num_subscribers</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>num_reviews</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>num_lectures</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>level</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>content_duration</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>published_timestamp</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>subject</th>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>year_published</th>\n","      <td>70</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":16}]},{"cell_type":"markdown","source":["Tenemos 70 cursos sin suscriptores en 2017 frente a los 715 cursos totales que hay en ese año"],"metadata":{"id":"XZRl45RLQGwW"}},{"cell_type":"markdown","metadata":{"id":"wGpWZAHmJ2vV"},"source":["Vemos que los cursos que tienen 'num_subscribers' = 0 son todos de 2017 menos uno de 2016, esto se puede deber a que están recién lanzados y no le ha dado tiempo a la gente a suscribirse. Además vemos que solo el 10% de cursos de 2017 no tienen suscriptores, por lo que no tendría sentido eliminar este año para hacer nuestros cálculos posteriores"]},{"cell_type":"markdown","metadata":{"id":"hNokmDvo1W28"},"source":["## 2. Descriptiva univariante y bivariante de los datos teniendo en cuenta su tipo"]},{"cell_type":"markdown","metadata":{"id":"2Xr3rzpA5oxG"},"source":["# DESCRIPTIVA UNIVARIANTE\n","\n","Vamos a analizar cada variable por separado para ver características de cada una. Dependiendo del tipo de variable que sea la analizaremos de una determinada manera. En el caso de las variables categóricas el análisis se centra en el conteo y la distribución que siguen.\n","Y, en el caso de las variables cuantitativas vamos a describir características como la media,moda, mediana, cuartiles,desviación típica...\n","\n","Primero vamos a hacer una breve descripción de cada variable, y después vamos a verlas representadas en distintos tipos de gráficos.\n","\n","Las variables cuantitativas se suelen ver representadas en gráficos como  histogramas (para ver la forma de la distribución), gráficos de densidad, boxplot(para ver dispersión y outliers=valores atípicos).\n","\n","Las variables categóricas se suelen ver representadas en gráficos como gráfico de barras, pie-chart."]},{"cell_type":"markdown","metadata":{"id":"eL-LcpUW54Zl"},"source":[" Empezamos con el análisis univariante de las **variables categóricas **:\n","\n","\n","\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"executionInfo":{"elapsed":360,"status":"ok","timestamp":1732831772292,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"HIlsihJL6AfP","outputId":"83e5a454-c8dd-49fc-c14a-822b0bf1b11d"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["level\n","All Levels            1929\n","Beginner Level        1270\n","Intermediate Level     421\n","Expert Level            58\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>level</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>All Levels</th>\n","      <td>1929</td>\n","    </tr>\n","    <tr>\n","      <th>Beginner Level</th>\n","      <td>1270</td>\n","    </tr>\n","    <tr>\n","      <th>Intermediate Level</th>\n","      <td>421</td>\n","    </tr>\n","    <tr>\n","      <th>Expert Level</th>\n","      <td>58</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":17}],"source":["data['level'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"72M6GDgo6D39"},"source":["La variable 'level' está compuesta por 4 niveles diferentes ('All Levels' , 'Beginner Level', 'Intermediate Level' , 'Expert Level')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":446},"executionInfo":{"elapsed":492,"status":"ok","timestamp":1732831785185,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"HvJpolbg6Xqn","outputId":"1bd4586b-f2df-4c02-ac1b-2a2071fc608b"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Visualización de la variable 'level' en un piechart\n","# Calcular las frecuencias de cada categoría en 'level'\n","frecuencias = data['level'].value_counts()\n","\n","# Definir etiquetas y colores\n","labels = frecuencias.index  # Etiquetas basadas en las categorías únicas\n","sizes = frecuencias.values  # Frecuencias de las categorías\n","colors = sns.color_palette('pastel')[0:len(labels)]  # Colores para cada porción\n","\n","# Crear el gráfico de pastel\n","plt.figure(figsize=(5, 5))\n","plt.pie(\n","    sizes,  # Valores para el gráfico (frecuencias)\n","    labels=labels,  # Etiquetas de las categorías\n","    colors=colors,  # Colores definidos\n","    autopct='%.0f%%',  # Mostrar porcentajes con 0 decimales\n","    startangle=90  # Girar el inicio del gráfico para mejor visualización\n",")\n","\n","# Título del gráfico\n","plt.title('Distribución de Niveles (Level)', fontsize=16)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"p9_xW1JM6Zlu"},"source":["A través del piechart comprobamos que la variable 'level' está compuesta mayoritariamente por 'All Levels' (52 %) seguida de ' Beginner Level' (35%), ' Intermediate Level' (11%) y por último 'Expert Level' (2%).\n","\n","Por lo tanto, los cursos de Udemy principalmente van dirigidos a todos los niveles, aunque tienen más cursos para principiantes que para expertos."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":407},"executionInfo":{"elapsed":443,"status":"ok","timestamp":1732831846952,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"OWX8-WrH6mQP","outputId":"4c918010-3795-459b-ea88-d28f675d10f3"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 600x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Gráfico de barras\n","\n","# Calcular las frecuencias de cada categoría en 'level'\n","frecuencias = data['level'].value_counts()\n","\n","# Extraer etiquetas (categorías) y tamaños (frecuencias)\n","labels = frecuencias.index  # Etiquetas de las categorías\n","sizes = frecuencias.values  # Frecuencias de las categorías\n","\n","# Crear el gráfico de barras\n","plt.figure(figsize=(6, 4))\n","plt.bar(labels, sizes, color='skyblue', edgecolor='black')\n","\n","# Personalizar el gráfico\n","plt.title('Frecuencia de Niveles (Level)', fontsize=16)\n","plt.xlabel('Niveles', fontsize=12)\n","plt.ylabel('Frecuencia', fontsize=12)\n","plt.xticks(rotation=45)  # Rotar etiquetas si es necesario\n","plt.tight_layout()  # Ajustar para evitar que se corten las etiquetas\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":178},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1732831852909,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"li2l55WR6qpu","outputId":"18316144-d981-4822-a43b-1d40e52ed889"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["is_paid\n","True     3368\n","False     310\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>is_paid</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>True</th>\n","      <td>3368</td>\n","    </tr>\n","    <tr>\n","      <th>False</th>\n","      <td>310</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":20}],"source":["data['is_paid'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"RFfmvuuc6tTa"},"source":["La variable 'is_paid' es un dato de tipo booleano (0,1), eso significa que si NO es un curso de pago se marca un 0, y si es un curso de pago se marca con un 1. En este caso hay muchos más cursos de pago que gratis.\n"]},{"cell_type":"code","source":["# Calcular las frecuencias de cada categoría en 'is_paid'\n","frecuencias = data['is_paid'].value_counts()\n","\n","# Extraer etiquetas (categorías) y tamaños (frecuencias)\n","labels = ['De Pago', 'Gratis'] if data['is_paid'].dtype == 'bool' else frecuencias.index  # Etiquetas de categorías\n","sizes = frecuencias.values  # Frecuencias de las categorías\n","\n","# Crear el gráfico de barras\n","plt.figure(figsize=(6, 4))\n","plt.bar(labels, sizes, color='skyblue', edgecolor='black')\n","\n","# Personalizar el gráfico\n","plt.title('Frecuencia de Pago (is_paid)', fontsize=16)\n","plt.xlabel('Categorías', fontsize=12)\n","plt.ylabel('Frecuencia', fontsize=12)\n","plt.xticks(labels, rotation=0)  # Asegurar que las etiquetas sean correctas\n","plt.tight_layout()  # Ajustar para evitar que se corten las etiquetas\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":407},"id":"jaVavizwRmMl","executionInfo":{"status":"ok","timestamp":1732831863400,"user_tz":-60,"elapsed":441,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"e631cd32-24a7-45fd-ada9-985fb576ecce"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 600x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":678},"executionInfo":{"elapsed":452,"status":"ok","timestamp":1732831872451,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"S2ITQF7w7EWm","outputId":"083a198b-8618-4c07-cfc5-eba713b5cf66"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x800 with 1 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\n"},"metadata":{}}],"source":["# Calcular las frecuencias de cada categoría en 'level'\n","frecuencias = data['is_paid'].value_counts()\n","\n","# Definir etiquetas y colores\n","labels = frecuencias.index  # Etiquetas basadas en las categorías únicas\n","sizes = frecuencias.values  # Frecuencias de las categorías\n","colors = sns.color_palette('pastel')[0:len(labels)]  # Colores para cada porción\n","\n","# Crear el gráfico de pastel\n","plt.figure(figsize=(8, 8))\n","plt.pie(\n","    sizes,  # Valores para el gráfico (frecuencias)\n","    labels=labels,  # Etiquetas de las categorías\n","    colors=colors,  # Colores definidos\n","    autopct='%.0f%%',  # Mostrar porcentajes con 0 decimales\n","    startangle=90  # Girar el inicio del gráfico para mejor visualización\n",")\n","\n","# Título del gráfico\n","plt.title('Distribución de Pago (is_paid)', fontsize=16)\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"executionInfo":{"elapsed":375,"status":"ok","timestamp":1732831884031,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"Izz7siN47Iv_","outputId":"95fd7ccb-a7cb-43c3-e289-432d6908d35c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["subject\n","Web Development        1200\n","Business Finance       1195\n","Musical Instruments     680\n","Graphic Design          603\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>subject</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Web Development</th>\n","      <td>1200</td>\n","    </tr>\n","    <tr>\n","      <th>Business Finance</th>\n","      <td>1195</td>\n","    </tr>\n","    <tr>\n","      <th>Musical Instruments</th>\n","      <td>680</td>\n","    </tr>\n","    <tr>\n","      <th>Graphic Design</th>\n","      <td>603</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":23}],"source":["data['subject'].value_counts()"]},{"cell_type":"markdown","metadata":{"id":"qsg8LB_G7Kzx"},"source":["La variable 'subject' está formada por 4 tipos ( 'Web Development', 'Business Finance', 'Musical Instruments' , ' Graphic Design' )"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":607},"executionInfo":{"elapsed":518,"status":"ok","timestamp":1732831888532,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"9WC9iHPc7fYe","outputId":"0e0222d0-c333-4b75-a8ec-37e2adf45294"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 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\n"},"metadata":{}}],"source":["# Calcular las frecuencias de cada categoría en 'level'\n","frecuencias = data['subject'].value_counts()\n","\n","# Extraer etiquetas (categorías) y tamaños (frecuencias)\n","labels = frecuencias.index  # Etiquetas de las categorías\n","sizes = frecuencias.values  # Frecuencias de las categorías\n","\n","# Crear el gráfico de barras\n","plt.figure(figsize=(8, 6))\n","plt.bar(labels, sizes, color='skyblue', edgecolor='black')\n","\n","# Personalizar el gráfico\n","plt.title('Distribución por subject (subject)', fontsize=16)\n","plt.xlabel('Niveles', fontsize=12)\n","plt.ylabel('Frecuencia', fontsize=12)\n","plt.xticks(rotation=45)  # Rotar etiquetas si es necesario\n","plt.tight_layout()  # Ajustar para evitar que se corten las etiquetas\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"DVFNQMCl7kCh"},"source":["Observamos cómo la mayoria de asignaturas ( 'subject' ) són de 'Web Development' y de 'Business Finance' .  Mientras que las asignaturas de 'Grapfic Design' y 'Musical Instruments' presentan un número de cursos bastante similar."]},{"cell_type":"markdown","metadata":{"id":"qzD7AkJ88I1y"},"source":[" Ahora pasamos al análisis univariante de las **variables cuantitativas **:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":608,"status":"ok","timestamp":1732831899440,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"YAW43Coj_2y-","outputId":"54ea586d-4ba0-489b-b780-800c284b6863"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["             price  num_subscribers   num_reviews  num_lectures  \\\n","count  3678.000000      3678.000000   3678.000000   3678.000000   \n","mean     66.049483      3197.150625    156.259108     40.108755   \n","std      61.005755      9504.117010    935.452044     50.383346   \n","min       0.000000         0.000000      0.000000      0.000000   \n","25%      20.000000       111.000000      4.000000     15.000000   \n","50%      45.000000       911.500000     18.000000     25.000000   \n","75%      95.000000      2546.000000     67.000000     45.750000   \n","max     200.000000    268923.000000  27445.000000    779.000000   \n","\n","       content_duration  year_published  \n","count       3678.000000     3678.000000  \n","mean           4.094517     2015.431213  \n","std            6.053840        1.185317  \n","min            0.000000     2011.000000  \n","25%            1.000000     2015.000000  \n","50%            2.000000     2016.000000  \n","75%            4.500000     2016.000000  \n","max           78.500000     2017.000000  "],"text/html":["\n","  <div id=\"df-5027f627-9cb9-4e5b-8f3c-30e500b73a04\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>price</th>\n","      <th>num_subscribers</th>\n","      <th>num_reviews</th>\n","      <th>num_lectures</th>\n","      <th>content_duration</th>\n","      <th>year_published</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","      <td>3678.000000</td>\n","      <td>3678.000000</td>\n","      <td>3678.000000</td>\n","      <td>3678.000000</td>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>66.049483</td>\n","      <td>3197.150625</td>\n","      <td>156.259108</td>\n","      <td>40.108755</td>\n","      <td>4.094517</td>\n","      <td>2015.431213</td>\n","    </tr>\n","    <tr>\n","      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Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"y4a9ftzA8N-j","outputId":"b90b303c-e40a-4d59-9470-83ede0cc15ad"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["count      3678.000000\n","mean       3197.150625\n","std        9504.117010\n","min           0.000000\n","25%         111.000000\n","50%         911.500000\n","75%        2546.000000\n","max      268923.000000\n","Name: num_subscribers, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_subscribers</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>3197.150625</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>9504.117010</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>111.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>911.500000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>2546.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>268923.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":26}],"source":["data['num_subscribers'].describe()"]},{"cell_type":"markdown","metadata":{"id":"flYj0KzF8knV"},"source":["La variable cuantitativa 'num_subscribers' presenta una media de 3197 suscriptores por curso, mientras que la mediana es de 911 suscriptores ( esto nos muestra que no sigue una distribución normal, ya que media y mediana están muy alejadas) ."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"QAWJOn-PL0o-","colab":{"base_uri":"https://localhost:8080/","height":685},"executionInfo":{"status":"ok","timestamp":1732831961215,"user_tz":-60,"elapsed":1003,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"68161c67-7fbe-474b-bb14-2f90ff2f510b"},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-27-3614e2123871>:6: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.boxplot(data=data, x='subject', y='num_subscribers', palette='Set2')\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Configurar el estilo de Seaborn\n","sns.set(style=\"whitegrid\")\n","\n","# Crear el boxplot\n","plt.figure(figsize=(8, 6))\n","sns.boxplot(data=data, x='subject', y='num_subscribers', palette='Set2')\n","\n","# Personalizar el gráfico\n","plt.title('Distribución del Número de Suscriptores por Asignatura', fontsize=14)\n","plt.xlabel('Asignaturas', fontsize=12)\n","plt.ylabel('Número de Suscriptores', fontsize=12)\n","plt.xticks(fontsize=10)\n","plt.yticks(fontsize=10)\n","\n","# Mostrar el gráfico\n","plt.show()"]},{"cell_type":"markdown","source":["Viendo el gráfico podemos comprobar que la asignatura de 'Web Development' es la asignatura con mayor número de suscriptores (y la que más outliers=valores atípicos presenta). El hecho de tener muchos outliers nos indica que hay una gran dispersión en cuanto a el número de suscriptores en los cursos de web development ( algunos cursos tienen muchísimos más suscriptores que la media)."],"metadata":{"id":"tBSsGSRwEcPr"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"executionInfo":{"elapsed":391,"status":"ok","timestamp":1732832024581,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"-LhaMCx0CHlb","outputId":"f3982d8f-eb3c-440c-c127-64aea0a9db5e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["count    3678.000000\n","mean       66.049483\n","std        61.005755\n","min         0.000000\n","25%        20.000000\n","50%        45.000000\n","75%        95.000000\n","max       200.000000\n","Name: price, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>66.049483</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>61.005755</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>20.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>45.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>95.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>200.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":28}],"source":["data['price'].describe()"]},{"cell_type":"markdown","metadata":{"id":"EyQRg8FaCNj3"},"source":["La media de la variable 'price' de los cursos ofrecidos es de 66 euros, mientras que la mediana está en 45. Esto nos indica que hay bastantes outliers o valores extremos de algunos cursos que tienen un precio muy alto, por lo que hacen que la media sea más alta, pero la mediana nos indica que el 50% de los cursos cuestan más de 45 euros, mientras que la media del precio por curso es de 66 euros. Concluimos que el hecho de tener algunos cursos con un precio mucho más alto que la mayoría, hacen que la media sea más grande."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":475},"executionInfo":{"elapsed":797,"status":"ok","timestamp":1732832028777,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"HIehLv1dARiO","outputId":"d2dd58f3-5aae-4300-cb67-642a4442554f"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: title={'center': 'Histograma de price'}, ylabel='Frequency'>"]},"metadata":{},"execution_count":29},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Visualizamos PRICE en histograma\n","data[\"price\"].plot(kind='hist',bins=40, linewidth=0.5, edgecolor=\"white\", title = \"Histograma de price\", xlim=(0, 200))\n"]},{"cell_type":"markdown","metadata":{"id":"L7dSE9V8EgBo"},"source":["La mayoría de los cursos se encuentran en el rango de 20 a 25 euros. No obstante, en el rango de precios de 30 a 55 hay una cantidad de cursos parecidas ( de 50 a 55 euros hay muchos cursos ) . También se observa que para un precio de 200€ hay muchos cursos, esto se puede deber a dos motivos, a que se haya dado la casualidad que para este precio haya muchos o , que a partir de este precio han truncado todos a 200.\n","Podemos decir que no hay una relación lineal directa del número de cursos con la variable 'price'."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":480},"executionInfo":{"elapsed":620,"status":"ok","timestamp":1732832063615,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"TsSjxEWfDykn","outputId":"a5451d56-b6dd-4390-ad31-6087c5030889"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 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\n"},"metadata":{}}],"source":["# Gráfico de densidad para la variable 'price'\n","sns.kdeplot(data=data, x='price', fill=True, color=\"blue\", alpha=0.6)\n","plt.title(\"Gráfico de Densidad de la Variable 'Price'\")\n","plt.xlabel(\"Price\")\n","plt.ylabel(\"Densidad\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"TC76K6wCBuBy"},"source":["Gracias al densityplot de la variable 'price' comprobamos que la mayoría de los cursos se encuentran entre 0 y 60 euros más o menos."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"executionInfo":{"elapsed":442,"status":"ok","timestamp":1732832074560,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"},"user_tz":-60},"id":"xtFsapHGCe8f","outputId":"ed7a8a58-2bcd-4e8a-af8f-5e73886d7dc0"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["count     3678.000000\n","mean       156.259108\n","std        935.452044\n","min          0.000000\n","25%          4.000000\n","50%         18.000000\n","75%         67.000000\n","max      27445.000000\n","Name: num_reviews, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_reviews</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>156.259108</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>935.452044</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>18.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>67.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>27445.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":31}],"source":["data['num_reviews'].describe()"]},{"cell_type":"markdown","metadata":{"id":"Y7jtuRa8C_uV"},"source":["La variable 'num_reviews' presenta una media de 156 reseñas por curso, mientras que la mediana está en 18 ( la gran separación entre media y mediana podría indicarnos que no sigue una distribución normal, pero habría que seguir estudiandola ).\n","Esta gran diferencia se debe a que hay unos valores atípicos extremos en algunos cursos que tienen un número muy grande de reviews, por lo tanto hace que la media de reviews de todos los cursos sea más grande."]},{"cell_type":"code","source":["# Crear el boxplot\n","plt.figure(figsize=(8, 6))  # Tamaño del gráfico\n","sns.boxplot(data=data, y='num_reviews', color='skyblue')  # Boxplot de la variable\n","plt.title('Boxplot de num_reviews', fontsize=14)\n","plt.ylabel('Número de reseñas')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":522},"id":"CR23MQhEGwH1","executionInfo":{"status":"ok","timestamp":1732832083565,"user_tz":-60,"elapsed":659,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"78c43e82-7bdd-4f2b-bf66-a70b460a8e2e"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"executionInfo":{"elapsed":341,"status":"ok","timestamp":1732789611704,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"},"user_tz":-60},"id":"ZUJ13ZvaFkb1","outputId":"0e4aa216-2066-4a85-fafa-8e37644abd34"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["count    3678.000000\n","mean        4.094517\n","std         6.053840\n","min         0.000000\n","25%         1.000000\n","50%         2.000000\n","75%         4.500000\n","max        78.500000\n","Name: content_duration, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>content_duration</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>4.094517</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>6.053840</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>4.500000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>78.500000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":68}],"source":["data['content_duration'].describe()"]},{"cell_type":"markdown","metadata":{"id":"2BUwjSO7Fqco"},"source":["La media de la variable 'content_duration' es de 4 y la mediana de 2 ( horas)."]},{"cell_type":"code","source":["# Crear el boxplot para content_duration\n","plt.figure(figsize=(8, 6))  # Tamaño del gráfico\n","sns.boxplot(data=data, y='content_duration', color='lightgreen')  # Boxplot de content_duration\n","plt.title('Boxplot de content_duration', fontsize=14)\n","plt.ylabel('Duración del contenido')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":522},"id":"ZPcFLLGUHFWz","executionInfo":{"status":"ok","timestamp":1732789623008,"user_tz":-60,"elapsed":468,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"}},"outputId":"4442645a-de17-4ce8-ff89-6acf84336852"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Contrastando la información estadística sobre la variable 'content_duration' con su representación en el gráfico de cajas (boxplot), observamos que el 75% de los cursos duran menos de 4.5 horas. Y la media de la duración de un curso es de 4 horas, mientras que la mediana es de 2 horas por curso. Esto se debe a los outliers, ya que hay algunos cursos que tienen una duración bastante más alta que los demás cursos, port tanto hace que suba la media."],"metadata":{"id":"Y5tq_fn4HMpp"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"executionInfo":{"elapsed":761,"status":"ok","timestamp":1732789651866,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"},"user_tz":-60},"id":"ckxVF4DFFzhx","outputId":"e75948be-68b8-477d-ec25-bc89f4a11a94"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["count    3678.000000\n","mean       40.108755\n","std        50.383346\n","min         0.000000\n","25%        15.000000\n","50%        25.000000\n","75%        45.750000\n","max       779.000000\n","Name: num_lectures, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_lectures</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3678.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>40.108755</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>50.383346</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>15.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>25.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>45.750000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>779.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":70}],"source":["data['num_lectures'].describe()"]},{"cell_type":"markdown","metadata":{"id":"zma2lzYkF89z"},"source":["La media de los cursos de udemy presentan una media de 40 clases, mientras que la mediana es de 25 clases."]},{"cell_type":"code","source":["# Crear el boxplot para num_lectures\n","plt.figure(figsize=(8, 6))  # Tamaño del gráfico\n","sns.boxplot(data=data, y='num_lectures', color='lightblue')  # Boxplot de num_lectures\n","plt.title('Boxplot de num_lectures', fontsize=14)\n","plt.ylabel('Número de lecciones')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":522},"id":"Wjdm8BXdIG_W","executionInfo":{"status":"ok","timestamp":1732789660452,"user_tz":-60,"elapsed":439,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"}},"outputId":"ea734301-8dfd-4661-8249-c008c031b068"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Observamos que sucede prácticamente la misma situación que en las anteriores variables cuantitativas, el hecho de que algunos cursos tengan un número de clases mucho más alto que el resto hace que la media de todos sea más grande (no significa que sea más representativa). Ya que la mediana es un estadístico bastante más representativo."],"metadata":{"id":"pne3N0HSIPEz"}},{"cell_type":"markdown","metadata":{"id":"pl7UHTH7JdWN"},"source":["# DESCRIPTIVA BIVARIANTE\n","\n","En este apartado vamos a describir la relación lineal entre dos variables : ver como evoluciona una variable a medida que la otra variable se comporta de determinada manera .\n","\n","Dendiendo del tipo de variables que vamos a estudiar, utilizaremos distintas técnicas para hacer la descriptiva bivariante:\n","\n","- Si són dos variables cuantitativas :  matriz de correlación, scatterplot de dos variables\n","\n","- Variable cuantitativa con categórica: boxplot, barplot, histogramas por grupos.\n","\n","- Variable categórica con categórica : gráficos de barras agrupados, tablas de contingencia.\n","\n","\n","\n","\n","\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1AXuGL0C1W2_","outputId":"114ba2ec-19d6-415a-c5a5-a493e1d78871","colab":{"base_uri":"https://localhost:8080/","height":476},"executionInfo":{"status":"ok","timestamp":1732832163433,"user_tz":-60,"elapsed":494,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='price', ylabel='num_subscribers'>"]},"metadata":{},"execution_count":33},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Visualizamos dos variables en ScatterPlot (variable cuantitativa y variable cuantitativa)\n","data.plot(x='price', y='num_subscribers', kind='scatter')\n"]},{"cell_type":"markdown","metadata":{"id":"mVCaHoi3LA30"},"source":["En este scatterplot (gráfico de dispersión) estamos viendo como se relacionan las variables 'num_subscribers' con la variable 'price'.\n","Observamos que independientemente del pecio de los cursos, presentan un número de suscriptores bastante similar . Hay que destacar que los cursos gratuitos presentan el mayor número de suscriptores, pero cuando el precio de los cursos aumenta el número de suscriptores también lo hace.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jqDlbgAsNLPd","colab":{"base_uri":"https://localhost:8080/","height":554},"executionInfo":{"status":"ok","timestamp":1732832204900,"user_tz":-60,"elapsed":508,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"15ac3a30-2d46-4a8d-a8c7-35c3f8aae086"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Calcular la correlación entre 'price' y 'num_subscribers'\n","correlation = data[['price', 'num_subscribers']].corr()\n","\n","# Visualizar la matriz de correlación con un heatmap\n","plt.figure(figsize=(8, 6))\n","sns.heatmap(correlation, annot=True, cmap='coolwarm', fmt=\".2f\", cbar=True)\n","\n","# Personalización del gráfico\n","plt.title('Matriz de Correlación entre Price y Num_Subscribers', fontsize=16)\n","plt.show()\n"]},{"cell_type":"markdown","source":["Observamos tanto en el Gráfico de Dispersión (ScatterPlot) cómo en la matrix correlacional que no tienen apenas relación lineal entre la variable price y num_subscribers."],"metadata":{"id":"QSItG3frJHLD"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"bVOzb_5pNTzj","colab":{"base_uri":"https://localhost:8080/","height":576},"executionInfo":{"status":"ok","timestamp":1732832239575,"user_tz":-60,"elapsed":1050,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"f8c33299-0d96-490b-eab7-6ce51e5200ec"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Análisis bivariante de categórica con cuantitativa\n","\n","# Crear el boxplot\n","plt.figure(figsize=(10, 6))\n","sns.boxplot(x='level', y='num_subscribers', data=data, palette=\"muted\", hue= 'level', dodge= False)\n","\n","# Personalización del gráfico\n","plt.title('Boxplot de Num_Subscribers por Level', fontsize=16)\n","plt.xlabel('Nivel', fontsize=14)\n","plt.ylabel('Número de Suscriptores', fontsize=14)\n","\n","# Mostrar el gráfico\n","plt.show()\n"]},{"cell_type":"markdown","source":[],"metadata":{"id":"eHro90t9Jols"}},{"cell_type":"code","source":["data.groupby('level')['num_subscribers'].mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"id":"8l42cSlDKU1k","executionInfo":{"status":"ok","timestamp":1732832258766,"user_tz":-60,"elapsed":392,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"4fba72e4-1687-4b4c-cbe2-b3844a458a82"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["level\n","All Levels            3584.798341\n","Beginner Level        3190.427559\n","Expert Level           865.448276\n","Intermediate Level    1762.482185\n","Name: num_subscribers, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_subscribers</th>\n","    </tr>\n","    <tr>\n","      <th>level</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>All Levels</th>\n","      <td>3584.798341</td>\n","    </tr>\n","    <tr>\n","      <th>Beginner Level</th>\n","      <td>3190.427559</td>\n","    </tr>\n","    <tr>\n","      <th>Expert Level</th>\n","      <td>865.448276</td>\n","    </tr>\n","    <tr>\n","      <th>Intermediate Level</th>\n","      <td>1762.482185</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":36}]},{"cell_type":"markdown","source":["Observando la media de suscriptores por cada nivel de los cursos y contrarestándola con los gráficos llegamos a la conclusión de que los cursos dirigidos a 'All Levels' y a 'Beginner Level' tienen una media de suscriptores bastante más alta que la de 'Intermediate Level' y 'Expert Level' siendo esta última la media más baja.\n","\n","Teniendo en cuenta los outliers en el boxplot, podemos decir que los niveles con un mayor número de suscriptores ( All level y beginner level) presentan una media más alta debido a que tienen algunos cursos con un número de suscriptores muchísimo más alto que los demás , por eso sube la media."],"metadata":{"id":"xpughHAUK591"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"eKAgr3wUN90W","colab":{"base_uri":"https://localhost:8080/","height":595},"executionInfo":{"status":"ok","timestamp":1732832277108,"user_tz":-60,"elapsed":7704,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"388d329d-9566-4e77-8eed-afe597aac12f"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["(None,)"]},"metadata":{},"execution_count":37}],"source":["# Crear el histograma mejorado\n","plt.figure(figsize=(12, 6))\n","sns.histplot(\n","    data=data,\n","    x='num_subscribers',\n","    hue='level',\n","    kde=True,  # Añade la línea de densidad\n","    multiple='layer',  # Cambia de 'stack' a 'layer' para ver las distribuciones separadas\n","    palette='husl',  # Cambia la paleta para un diseño más claro\n","    alpha=0.7  # Ajusta la transparencia para mejor visualización\n",")\n","\n","# Personalización del gráfico\n","plt.xlim(0, 150000)\n","plt.title('Histograma de Num_Subscribers por Level', fontsize=16)\n","plt.xlabel('Número de Suscriptores', fontsize=14)\n","plt.ylabel('Frecuencia/Densidad', fontsize=14)\n","plt.grid(axis='y', linestyle='--', alpha=0.6)  # Añade una cuadrícula ligera para mejorar la lectura\n","\n","# Mostrar el gráfico\n","plt.show(),\n"]},{"cell_type":"markdown","source":["Este histograma, se ve de esta forma debido a los outliers tan grandes que hay , si le ponemos un limite en el eje x cerca de la media de numero de suscriptores se verá mucho mejor"],"metadata":{"id":"zYYAxOiCWyZ_"}},{"cell_type":"code","source":["# Crear el histograma mejorado\n","plt.figure(figsize=(12, 6))\n","sns.histplot(\n","    data=data,\n","    x='num_subscribers',\n","    hue='level',\n","    kde=True,  # Añade la línea de densidad\n","    multiple='layer',  # Cambia de 'stack' a 'layer' para ver las distribuciones separadas\n","    palette='husl',  # Cambia la paleta para un diseño más claro\n","    alpha=0.7  # Ajusta la transparencia para mejor visualización\n",")\n","\n","# Personalización del gráfico\n","plt.xlim(0, 10000)\n","plt.title('Histograma de Num_Subscribers por Level', fontsize=16)\n","plt.xlabel('Número de Suscriptores', fontsize=14)\n","plt.ylabel('Frecuencia/Densidad', fontsize=14)\n","plt.grid(axis='y', linestyle='--', alpha=0.6)  # Añade una cuadrícula ligera para mejorar la lectura\n","\n","# Mostrar el gráfico\n","plt.show(),"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":595},"id":"repOUKlgXDPy","executionInfo":{"status":"ok","timestamp":1732832294494,"user_tz":-60,"elapsed":8003,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"5cc5d531-faca-4bcf-bd25-f3cdb18b1902"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["(None,)"]},"metadata":{},"execution_count":38}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"menMCgf-O1Y4","colab":{"base_uri":"https://localhost:8080/","height":577},"executionInfo":{"status":"ok","timestamp":1732832303195,"user_tz":-60,"elapsed":489,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"1505fbff-0456-4d42-9f01-0d46cc49b34e"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 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pxYsXl6+v7z3ruVt0dLQ2bNgg6XaXxhRt27ZVkSJF9Pfff2v37t2pllu4cKGSkpLUvn17tW3b1mpeWtPScq99YytfX1/169fPalqDBg0sx8H8+fOt5mXlWFi3bp0uXbqksmXL6p133rH6HfDII4+ke8UxpZYH8bP38vKSl5eXXF1d063FVtu3b9fevXtVo0YNjR071mqU2gIFClgeLbJr1y4dP37cMi/lCnlaA/X88ssvunbtmmrVqiWz2WyZ/vXXXysyMlI9evTQCy+8IAeH//vzqmjRovrkk0/k5OSkRYsW2fx4lHvVd/ToUR05ckQlS5a0dG2Ubv+MJKlFixaplnF3d7/v74uMSNlGs2bNZDKZrOalXPXObuHh4Vq8eLHlSnmrVq0sx29WjuX02HJOAZlFt0bAjly6dCnNYfMbNGiQ5h8+TzzxxH3XefnyZf3555+6dOmSbt68afnDwNXVVREREZb7wmyxa9cuJSQkqGbNmqpVq1aGavr7778lSU8//XSq+SaTSc8884zGjRunXbt2ZeiD748//lBycrJq1qyZZvfFGjVqyMfHJ9W9QkeOHFF4eLgqVaqUbu0NGjSQJO3bt+++ddztzu6hkhQVFaXTp0/rzJkzGjdunIoVK5bmfYVJSUnavXu39u7dq6tXr+rWrVsyDMPy8wsLC0t3m+3atbtvXfc7dv79919t27ZNoaGhun79uhISEiTd7rqU1vb9/Py0e/duvfvuu+rVq5d8fX2t/kDNrJ9//lm3bt2Sn5+f1R/Bzs7O6tixoxYuXKjvv/8+VZe4P/74Q5L05JNPprnep556SuvWrbvntjNyXmVVp06d0pzeuXNnzZs3T3/++aeSkpKs/vjL7LGQElrbt2+fZhe6p59+WuPGjUu3xgfxs8+uL4buZevWrZKkxx9/PM17vRwcHFSvXj0dP35c+/btsxxn7du310cffaTffvtNly9fVpkyZSzLpASiu7s4p2yrffv2adaS0i315MmTOnPmjE3hv1GjRipfvrzCwsK0b98+q/thU+7R7NSpk9V7rl27tk6ePKm3335b/fr1k7+/v833v92tdu3alqBkGIaaNm2qQoUKZes2pNv3zaalSZMmqZ6DmNljOT22nlNAZhDOgAco5d6iiIiINOe3bNnSKjy8/PLL2rlzZ7rrS7lPIi3//vuv3nvvPYWEhNzzm9qYmBibw9mFCxck3f5GMiOuXLki6fYVrfSeuZYyWlZK2/u5fPmyJKUapOROFSpUSBXOUh5c+vfff9/3oarp/dzuJa2h9A3D0OLFi/XBBx+oV69eCgkJUbly5Szzz5w5owEDBtzzXqeYmJh0593ruJBuX8241xWLzZs3a8SIEYqMjMzw9seMGaN+/frpp59+0k8//aRChQrJz89PjRo1UqdOnazeX0akjMiY1n1+zz77rBYuXKj169dr9OjRVldJU46D9PaBrfvGVukdnynTb968qcjISBUvXlxS1o6F+50Lnp6ecnd3T3OUUHv42WeXlHP7888/1+eff37Ptnee24UKFVK7du20YsUK/fjjj5Yvh65du6atW7fKxcVFHTt2THNb6fVkuHtbtoSzlC+vpk2bphUrVljCWUJCglauXCnp9r1zd3rzzTd17Ngxbdu2Tdu2bVPBggXl6+urBg0a6KmnnlLVqlWzXE+KTp066ddff9XKlSs1cOBAOTo6qmrVqqpbt66eeOKJbLtylvKcM5PJJGdnZ5UtW1aNGzdWnTp1rNpl5VhOjy3nFJBZhDPgAfL19dVPP/2kI0eOKDk52aYrC5JSjXx4p9GjR2v16tUKCAjQwIED9cgjj8jDw8PyrV9gYKCuXr1qcxebvC7l/ZcsWVKBgYH3bJuRgVEywmQyqUePHlq+fLkOHz6sb775RsOGDbPMHzRokE6cOKGWLVvqtddeU9WqVVW4cGE5OTkpPj5efn5+91z/vY6L+82/cuWKhg4dqps3b+q1117Tk08+qQoVKsjNzU0ODg7asWNHmjf1V61aVWvXrtWvv/6q33//Xfv27dOff/6p33//XTNmzNBHH32U7lWjux0+fFihoaGSpKVLl+rnn39O1cbBwUE3b97UqlWr1L1791Tz7+5Wdb/pKe637+4nOTnZpuUlWZ2Tth4LmWEPP/vslPKzqFu37n2HRq9evbrV62effVYrVqywGnjm559/VmJiop544gmrkW7v3NadD0hOT5EiRTLzNtL09NNPa/r06ZaBSwoWLKgtW7bo+vXr8vf3TxW2SpYsqeXLl2v37t367bfftHfvXh04cEB79+7VrFmz9Oabb6pv37421eTg4KCJEyfq9ddf1y+//KK9e/dq7969+vbbb/Xtt9+qZcuWmjFjRqqu9pl193PO0pLVYxmwB4Qz4AFq2bKlJkyYoKioKG3dujVbRmxMy82bN7Vu3To5ODho9uzZqf6QiI2N1T///JNt20v5Zvz06dMZap8ywlhkZKRiYmLSvHqW8k10Rh92ndIu5SpeWtKal9JlqUiRIqm6xOS0ChUq6PDhw1b77dSpUzp27JiKFy+u6dOnp+p6dPbs2RytafPmzbp586batm2rd955J9X8e22/QIECatGiheW+lpiYGM2fP1/Tp0/X+++/r7Zt2973D1fJ+jlmR44cuW/bO8NZ6dKlde7cOV24cCHN7q3nz5+/7/bvxcnJSQkJCeketynPCUxPettPOTZdXFwsf7xn9VhIORfS21Z0dHS6V81y+2efncqWLSvpdje4zP4hXq9ePVWuXFlnzpzRn3/+qbp166bbpTFlW2fOnFGfPn2yNTCnp3z58mrUqJF27typ9evX66mnnrpnfdLtLyYaNmxo6Qp869YtrVixQh988IEmT56sdu3aZcvzvapVq2Y59wzD0O+//6633npLW7Zs0Y8//pito96mx5ZjOS1ZPaeArGBAEOABqly5suXZKuPHj8+xX+ZRUVFKSEhQ4cKFUwUz6fY3wNl5xaxRo0ZycnLS4cOHdfjw4fu2L1OmjOWPgLRuajcMw3LvXUaH2a5fv75MJpOOHDmiU6dOpZp/9OjRNJ9N5efnp6JFi+rkyZPZOmR6RqQE0Dv/aI2KipJ0+8Gqad0TktZVpOyUsv20uqIZhmHpNpURhQsX1sCBA+Xh4aG4uDidOXPmvsukXA2Tbg+Jf+zYsTT//fHHH3J2dtahQ4d09OhRy/IpQ7anV2fKurOqVKlSktL+IuLo0aO6dOnSPZdP7+f3448/Srp9lSfl557VYyFlH6xdu9Zyj01a27pbbv/ss1vKYzjWrl2bpd93KV0Df/jhBx06dEjHjx+3dKG7W8rgG2vWrLGh4sxJCTk//PCD/vnnH23fvl0FCxZM91l0d3NxcVH37t3l4+Oj5OTkdJ/dZ4uUwaBSuoGmXBHPadl5LEtZP6eArCCcAQ/Y6NGjLd/IduvWLc0R56Tb39Cl9HPPrOLFi8vd3V3R0dGpPjT++usvTZo0KUvrvdf2Uq5eDB482GrkM+n2h+HOnTutwuirr74qSfriiy+s/rg2DENffPGFQkND5eHhoeeffz5DNZQrV05t27ZVcnKyxowZY3UvQVRUlMaMGZPmH2hOTk4aMGCA5flWaY2MmZSUpJ07d+qvv/7KUC33k3LPWcpVoTtvcK9SpYocHR11/Phx7dq1y2q5zZs366uvvsqWGtKT0h1q3bp1lgeXS7f3weeff57moChxcXGaP39+mvfk7dmzR9HR0XJ0dLQaWCE969atU3R0tEqWLKmmTZum287Dw8Ny5TllEATp9j0/Dg4OCgkJ0caNG62WWb9+vdavX3/fGu6lSZMmkm6PwhkfH2+Zfv78eQ0fPvy+IeDw4cOaM2eO1bQ9e/Zo8eLFkmT1MNusHgvt2rVT6dKldfHiRU2aNMmqq+Xx48f15Zdfprncg/zZt2vXTu3atbM87y8ntG7dWn5+fjpw4IBGjBiRZo1RUVH69ttvUz0IXrrdddDBwUFr1qzRokWLJN0euCWt7uivvfaaPDw89NVXX2nevHlWx0aKc+fO6aeffsqGd3bb448/Lg8PD/3++++aOXOmEhMT9fjjj6d5RTc4ODjNq7qnTp2yXEWy9d7AH3/8UYcOHUo1PSYmxvI5d797PrNLVo7le8nqOQVkBd0agQfM09NT3377rd566y3t3LlTPXv2VJkyZVSjRg25u7vr1q1bOnPmjI4fPy7DMGQ2mzM0AuKdChQooNdff12ffvqphg0bpsWLF6tixYq6ePGi9u3bp6eeekp79uy5ZxfAzHrnnXd0/vx5bd68WZ06dVKdOnVUvnx5RUZG6sSJE7py5Yo2bdpkGbyhW7du2rdvn3766Sc9++yzql+/vuUh1GFhYSpYsKAmTpyY7mMH0jJ69GgdPXpUu3fvVuvWrdWgQQMZhqFdu3apSJEiatWqlTZv3pxquRdffFEXL15UcHCwevTooerVq6tSpUoqWLCgrl69qqNHjyo6OlpjxozJ9JDTGzdutNrP0dHROnXqlOVKQqdOndShQwfL/GLFiqlHjx5asGCBXn75ZdWrV0+lSpVSWFiYDh8+rP/85z85+odAy5YtVbNmTR0+fFhPPPGEGjRoIFdXVx04cEDh4eHq06dPqnCRkJCg8ePH65NPPpHZbFblypXl5OSkCxcuWALt66+/nqGfZUqXxqeeeuq+96Z07txZ69at088//6x33nlHzs7OqlWrloYMGaJJkyapf//+8vf3V4UKFfT333/rwIEDevXVVzVv3rwsPwi4X79+WrdunbZu3aonnnhCfn5+ioiI0MGDB/Xoo48qICDgnn/49ezZU5MmTdJPP/0kHx8fhYeHa8+ePUpOTlavXr2shjrP6rGQcu707dtX8+bN08aNG+Xn56fIyEjt3r1bLVu21OHDh1Od/w/yZ58ySl5cXFym9n+KL774Qt999126899//33VrFlTM2bMUL9+/fTDDz9o3bp18vHxUbly5ZSQkKBz587p+PHjSkpK0jPPPJPq6mTp0qXVtGlTbd++XStWrJDJZEq3S16ZMmX0xRdfaODAgZowYYLmzp2r6tWrq2TJkoqJidGpU6f0999/q06dOtl2/52Li4uCgoL03Xff6ZtvvpGUfpfGL7/8Up988om8vb1VtWpVy8Oh9+7dq8TERHXu3Fk1a9a0qZ7169dr2LBhKlWqlGrUqCEPDw9FR0dr7969unHjhsxms5577jmbtpFRWTmW7yWr5xSQFYQzIBcUL15cX331lXbu3KmVK1dq7969+uOPP3Tz5k0VKlRIFSpU0PPPP6927dqpUaNGWRo45LXXXlOlSpU0b948nTp1SidOnJC3t7dGjx6t7t27pzsccVY5Ozvriy++0OrVqy3dgA4dOqQiRYqocuXKeumll1SyZElLe5PJpE8++UTNmzfXkiVLdPjwYcXFxalEiRJ65pln1KdPnwyP/piiZMmSWrp0qWbMmKENGzZoy5YtKl68uIKCgjR48GB98skn6S777rvvqk2bNlq8eLH27t2r7du3y8nJSSVLllSDBg302GOP6fHHH8/0fjl69KjVlUEnJycVLVpUrVq10rPPPqs2bdqkWmbkyJHy8fHR4sWLdejQITk6OspsNmvy5MkKCgrK0XBWoEABffPNN5o9e7bWrVunnTt3qnDhwgoICNDUqVP177//pvqjxs3NTWPHjtUff/yhI0eO6LffflNCQoJKlSqlxx9/XN27d8/QSG1///23ZSj8tB6xcLfmzZurWLFiioiI0MaNGy3dufr16ydvb2/NmzdPR48e1YkTJ/TII49oxowZKlKkiObNm5flwV0qVqyo7777TlOmTNGuXbu0ZcsWlS9fXq+//rpee+01yxXh9LRt21atW7fWrFmztHXrViUkJMjX11cvvvhimu85q8dCgwYNtHTpUk2bNk27d+/Whg0bVLFiRQ0aNEivvvpqmsdybv7sM+vcuXOWbsFpSblyXrp0aS1dulQrVqxQSEiIjh07poMHD8rT01OlSpVSt27d1KpVK7m4uKS5nmeffVbbt2+XdLtrW1rPzUpRv359rV69WgsXLtTWrVt18OBBxcfHq3jx4ipbtqyeeuqpLP0OuZdnn33WElLLly+fbjfw0aNHa+fOnTp06JD++OMPxcbGqmTJkmrSpIm6du2aLZ8Hr776qipUqKB9+/bpyJEjioyMVJEiRVStWjV17NhRzzzzzAO77zArx/L9ZOWcArLCZDzsQ7UBAB4a06dP17Rp09SzZ0/LQ5wfhJ49e2r37t1asGBBhu+jBAA8fLjnDACQr5w5c8YyIMCdNm3apNmzZ8tkMqlz584PvjAAAO6Dbo0AgHxl5cqVmjVrlmrUqKGyZcsqISFBYWFhlvucBg4cmOn7OAEAeBAIZwCAfKVZs2Y6c+aM9u/fr1OnTik+Pl5FihRRy5Yt9cILL1iGWAfw4G3cuDHVSKr38qCfPwnkNu45AwAAwAMxbdo0TZ8+PcPtc+L5a4A9I5wBAAAAgB1gQBAAAAAAsAPcc5YD9u3bJ8MwsvyQUwAAAAD5Q0JCgkwmkwICAu7blnCWAwzDEL1FAQAAAGQmFxDOckDKFTM/P79crgQAAABAbjp48GCG23LPGQAAAADYAcIZAAAAANgBwhkAAAAA2AHCGQAAAADYAcIZAAAAANgBRmsEAAAA8qGkpCQlJCTkdhn5npOTkxwdHbNlXYQzAAAAIB8xDEOXL19WZGRkbpfy0ChSpIjKlCkjk8lk03oIZwAAAEA+khLMSpUqJTc3N5sDA9JnGIZiY2MVHh4uSSpbtqxN6yOcAQAAAPlEUlKSJZgVL148t8t5KLi6ukqSwsPDVapUKZu6ODIgCAAAAJBPpNxj5ubmlsuVPFxS9ret9/gRzgAAAIB8hq6MD1Z27W/CGQAAAADYAcIZAAAAANgBwhkAAACAdK1YsUI+Pj46f/58bpdyTz4+Ppo2bdp9202bNk0+Pj4PoKLMI5wBAAAAgB1gKH0AAAAA6erUqZM6dOggZ2fn3C7lng4cOGDTMPb2gHAGAAAAIF2Ojo55IvS4uLjkdgk2o1sjAAAAgHTdfc/ZwYMH1bt3bzVs2FC1a9dWq1atNGLEiEyts2fPnurYsaMOHTqkbt26Wdbz7bffWrWLj4/X559/rmeeeUZ169aVv7+/XnjhBf3++++p1pnWPWd79uzRs88+Kz8/P7Vp00bfffddJt/9g8WVMwAAAAAZcu3aNfXu3VtFixZV37595eHhofPnz2vDhg2ZXldUVJT69u2r9u3bq0OHDlqzZo3GjBkjJycndenSRZIUExOjZcuWqWPHjnruuef077//6vvvv9drr72mZcuWqUaNGumu/9ixY+rdu7eKFSumgQMHKjExUdOmTVPx4sWz/P5zGuEMAAAAQIbs27dPUVFRCg4Olp+fn2X60KFDM72u8PBwDR8+XK+88ookqWvXrnr++ec1adIkderUSU5OTvL09NTmzZut7nd7/vnn1b59e33zzTf6+OOP013/1KlTZRiGFi1apHLlykmSnnjiCT355JOZrvVBoVsj8i0jOTm3S8iT2G8AACA97u7ukqRffvlFCQkJNq2rQIEC6tq1q+W1s7OzunbtqmvXrunw4cOSbt/vlhLMkpOTFRkZqcTERNWqVUtHjhxJd91JSUnasWOH2rRpYwlmklS1alUFBgbaVHdO4soZ8i2Tg4MurZ6l+GsXc7uUPMO5eDmV7dAvt8sAAAB2qkGDBnriiSc0ffp0ffXVV2rQoIHatGmjJ598MtOjOZYqVUpubm5W06pUqSJJunDhgvz9/SVJP/zwg+bNm6ewsDCrQFihQoV01x0REaGbN2+qcuXKqeZ5eXlp69atmar1QSGcIV+Lv3ZRt8LP5nYZAAAA+YLJZNLUqVP1119/acuWLdq+fbtGjhyp+fPna8mSJSpUqFC2bu+nn37S8OHD1aZNG/Xu3VvFixeXo6OjZs2apXPnzmXrtuwB3RoBAAAAZIq/v7+GDh2qFStWaOLEiTpx4oRCQkIytY7w8HDFxsZaTTtz5owkqXz58pKkdevWqWLFipo+fbo6d+6sZs2aqUmTJrp169Y9112sWDEVLFhQZ8+m/pI+LCwsU3U+SIQzAAAAABkSFRUlwzCspqWMmBgfH5+pdSUmJmrJkiWW1/Hx8VqyZImKFSummjVrSpLl+Wp3bnP//v3666+/7rluR0dHBQYGauPGjbp48f9ucTl16pR27NiRqTofJLo1AgAAAMiQH374Qd9++63atGmjSpUq6d9//9XSpUtVuHBhNW/ePFPrKlWqlObMmaMLFy6oSpUqCgkJUWhoqD788EM5OTlJkh577DGtX79e/fv312OPPabz58/ru+++U7Vq1VJddbvbwIEDtX37dvXo0UPdu3dXUlKSFi5cqGrVqunYsWNZ3gc5iXAGAAAAIEMaNGiggwcPKiQkRP/884/c3d1Vu3ZtTZw4URUrVszUujw9PTV+/Hj973//09KlS1WiRAmNHj1azz//vKXNM888o3/++UdLlizRjh07VK1aNX366adau3atdu/efc/1P/LIIwoODta4ceM0depUlSlTRgMHDtTVq1ftNpyZjLuvS8JmBw8elCSrZz8gd5xd8D4DgmSCS6nKqtxrbG6XAQAAsujmzZsKCwuTl5eXChYsmNvlpKtnz566fv26Vq1aldulZIt77ffMZAPuOQMAAAAAO2B33RrPnj2r4OBg7d+/XydOnJC3t7dVoj5//rxat26d5rLOzs6WZJpeuzp16mjp0qVW0/bu3asJEyYoNDRUxYsXV/fu3dWnTx+ZTKZsfGcAAABA/hYZGXnPh1M7OjqqWLFiD7CivMXuwtmJEye0detW1alTR8nJyalGgylVqpTVqC7S7dFbXnvtNTVq1CjV+t588001bNjQ8vruZy+cPXtWvXv3VtOmTTVkyBAdO3ZMEydOlKOjo3r37p2N7wwAAADI3wYOHHjPe8HKly+vzZs3P8CK8ha7C2etWrVSmzZtJEnDhw/XoUOHrOY7OztbnhaeYteuXYqJiVHHjh1Tra9y5cqp2t8pODhYRYsW1aRJk+Ts7KzGjRsrIiJCM2fOVM+ePTP9pHMAAADgYTVs2DBFR0enO9/FxUWS9M033zyokvIUuwtnDg6Zvw1u1apVKly4sFq1apXpZbdt26a2bdtahbCgoCDNmjVL+/bts7rqBgAAACB9tWrVyu0S8jS7C2eZlZCQoPXr16tt27aWJH6nMWPGaOjQoSpSpIhat26tt99+W0WKFJEkxcbG6tKlS/L29rZaxtvbWyaTSadPn85yODMM477PXkDOMZlMcnV1ze0y8qy4uLhUXYoBAID9u3XrlpKTk5WUlKSkpKTcLuehkZSUpOTkZMXFxSk5OdlqnmEYGR7LIs+Hs23btikyMjJVl0ZnZ2d1795dgYGB8vDw0P79+zVz5kwdOnRIy5Ytk5OTk27cuCFJ8vDwSLWsq6uroqKislxXQkKCQkNDs7w8bOPq6ipfX9/cLiPPCgsLU1xcXG6XAQAAsqBAgQK6detWbpfxULl165YSExN1+vTpNOdn9FapPB/OVq5cqRIlSqhx48ZW00uVKqUxY8ZYXjdo0EDVq1dXv379tGHDBgUFBeVoXU5OTqpWrVqObgPpY6RN23h5eXHlDACAPOjWrVu6ePGiXFxc7Po5Z/lRgQIFVKlSpVS9+U6ePJnxdWR3UQ/Sv//+qy1btui5556To6Pjfdu3aNFCbm5uOnz4sIKCguTu7i5JlitoKeLj4xUXFydPT88s12YymeTm5pbl5YHcRJdQAADyJgcHBzk4OMjR0TFDfx8jezg6OsrBwUGurq6pQnFmLhrk6YdQb9iwQTdv3tSTTz6ZpeXd3NxUtmzZVJcfw8LCZBhGqnvRAAAAACCn5OlwtmrVKlWqVEl16tTJUPstW7YoNjZWfn5+lmnNmzfXpk2brB6WFxISIg8PDwUEBGR7zQAAAADub9q0afLx8Un1L63HZ6WlVatW+uCDD3K4yuxld90a4+LitHXrVknShQsXFBMTo7Vr10q6fd9YyhPFIyIitHPnTvXp0yfN9YwfP14mk0n+/v7y8PDQgQMHNGvWLNWqVcvyHDVJ6t27t1auXKm33npL3bt31/HjxxUcHKyhQ4fyjDMAAADkG8nJhhwccue+/Kxuu2DBgvr6669TTcuv7C6cXbt2TYMHD7aalvJ6wYIFlqHt16xZo8TExHS7NFatWlXffvutli5dqps3b6p06dLq0qWLBg0apAIF/u9tV65cWcHBwRo/frz69u2rYsWKadCgQXr11Vdz6B0CAAAAD56Dg0kzvj+iC1cf7OOeypd0U/8uWRtF28HBQf7+/tlbkB2zu3BWoUIFHTt27L7tevTooR49eqQ7/7nnntNzzz2XoW0++uijWrp0aYZrBAAAAPKiC1djdeZSTG6XYZPY2FhNnDhRv/76qy5fvqzixYsrMDBQ77zzjmXAv7ScOHFCn3zyiQ4cOKCbN2+qTJky6tKli1VPvH379mny5Mk6cOCAHB0d9dhjj2nkyJEqXrz4g3hr9hfOAAAAACBFYmKi1eubN28qKSlJQ4cOVbFixXTp0iXNnDlTb7zxhr755pt01/P666+rRIkS+uijj1S4cGH9/fffunz5smX+vn371LNnT7Vo0UKTJ09WXFycpkyZojfeeENLlizJsfd3J8IZAAAAALsUGxurmjVrWk375JNPNHbsWMvrxMREVahQQS+88ILCwsLk5eWVaj0RERE6f/68/vvf/6pVq1aSpEaNGlm1+eyzz1SrVi1Nnz7dMvy92WxWx44dtXXrVrVo0SK7314qhDMAAAAAdqlgwYJauHCh1bSKFSvqxx9/1FdffaWzZ88qNvb/7qE7c+ZMmuGsaNGiKl++vCZNmqSoqCg1btxYZcqUscyPi4vT3r179e677yopKckyvUqVKipbtqwOHjxIOAMAAADw8HJwcLB6DJZ0+1nHw4YNU9euXTV06FAVKVJEV69eVf/+/XXr1q0012MymRQcHKzJkyfrgw8+sFyRGzFihOrXr6/o6GglJSVp3LhxGjduXKrlL126lCPv726EMwAAAAB5xtq1a1WjRg2rZ5jt3r37vst5eXlp6tSpSkhI0L59+zRp0iS9/vrr2rZtm9zd3WUymdSvXz+rx26lKFq0aLa+h/QQzgAAAADkGTdv3pSTk5PVtJUrV2Z4eScnJzVo0EB9+/bVf/7zH4WHh8vLy0v+/v46ffp0qit1DxLhDAAAAECe0aRJE33wwQeaMWOGAgICtHXrVu3cufOeyxw9elQTJkxQUFCQKlasqJiYGM2aNUvly5dXpUqVJEnvvvuuXnrpJQ0ZMkQdOnSQh4eHLl++rN9++03PPPOM5XnLOYlwBgAAADwkypd0y/Pb7Natm86fP6+FCxcqODhYgYGB+uyzz/T888+nu0zJkiVVokQJzZo1S1euXJG7u7vq1aunTz/9VI6OjpJuP/t48eLFmjZtmkaMGKGEhASVKVNGjRo1UuXKlbP1PaTHZBiG8UC29BA5ePCgJOXqJVHcdnbB+7oVfja3y8gzXEpVVuVeY+/fEAAA2KWbN29ahpMvWLCg1bzkZEMODqZcqSs3t/0g3Gu/ZyYbOORIdQAAAADsSm6Go/wczLIT4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOxAgdwuAAAAAADu5OPjc98248aN0zPPPPMAqnlwCGcAAADAQ8BITpbJIXc6zmV220uWLLF63bVrV/Xs2VMdO3a0TKtUqVK21WcvCGcAAADAQ8Dk4KBLq2cp/trFB7pd5+LlVLZDv0wt4+/vn2pa2bJl05ye4ubNmypYsGAmq7MvhDMAAADgIRF/7aJuhZ/N7TJsNm3aNM2bN09ff/21PvroIx05ckRDhgxRrVq11KtXL33//ffy8/OztH/jjTd048YNffPNN5Zpp06d0sSJE7V7924lJSWpQYMGGjVqVK5ekWNAEAAAAAB5TkJCgt566y099dRTmjNnjpo2bZrhZc+dO6du3bopKipK48eP18SJExUREaGXX35Z8fHxOVj1vXHlDAAAAECek5CQoKFDhyooKMgybdeuXRladvr06fL09NT8+fPl4uIiSXr00UfVunVrLVu2TD169MiRmu+HK2cAAAAA8qQWLVpkablff/1VrVq1kqOjoxITE5WYmCgPDw/5+vrq0KFD2VxlxnHlDAAAAECe4+rqqkKFCmVp2evXr+vrr7/W119/nWqek5OTraVlGeEMAAAAQJ5jMplSTUvpopiQkGA1PTo62qq9p6enWrRooRdeeCHVOrIa+LID4QwAAABAvlCmTBlJt0difPTRRyVJEREROnz4sGrVqmVp17hxY504cUK+vr5ydHTMlVrTQjgDAAAAkC+UKVNGderU0YwZM+Tu7q4CBQpozpw5cnd3t2o3aNAgdenSRb1799bzzz+vEiVK6J9//tHu3btVr149q4ddP0iEMwAAAOAh4Vy8XL7f5sSJEzVq1CiNGDFCJUqU0JAhQ7R69WrduHHD0qZy5cpatmyZpkyZorFjxyo2NlYlS5ZU/fr15ePj80DrvZPJMAwj17aeTx08eFCSrB58h9xxdsH7+eJBiw+KS6nKqtxrbG6XAQAAsujmzZsKCwuTl5eXChYsaDXPSE6WySF3BmvPzW0/CPfa75nJBvl3DwEAAACwyM1wlJ+DWXZiLwEAAACAHSCcAQAAAIAdIJwBAAAAgB0gnAEAAACAHSCcAQAAAPkMA7I/WNm1vwlnAAAAQD7h5OQkSYqNjc3lSh4uKfs7Zf9nFQ+hBgAAAPIJR0dHFSlSROHh4ZIkNzc3mUymXK4q/zIMQ7GxsQoPD1eRIkXk6Oho0/oIZwAAAEA+UqZMGUmyBDTkvCJFilj2uy0IZwAAAEA+YjKZVLZsWZUqVUoJCQm5XU6+5+TkZPMVsxSEMwAAACAfcnR0zLbQgAeDAUEAAAAAwA4QzgAAAADADhDOAAAAAMAOEM4AAAAAwA4QzgAAAADADthdODt79qxGjx6tTp06ydfXVx07dkzVpmfPnvLx8Un179SpU1btbty4oZEjR6pBgwYKCAjQoEGD0nzew969e9W1a1fVrl1bLVu21OzZs2UYRo69RwAAAAC4m90NpX/ixAlt3bpVderUUXJycroh6dFHH9WwYcOsplWoUMHq9ZAhQ3Ty5EmNGTNGLi4umjJlivr06aPly5erQIHbb/3s2bPq3bu3mjZtqiFDhujYsWOaOHGiHB0d1bt375x5kwAAAABwF7sLZ61atVKbNm0kScOHD9ehQ4fSbOfh4SF/f/9017Nv3z7t2LFDwcHBCgwMlCR5eXkpKChI69evV1BQkCQpODhYRYsW1aRJk+Ts7KzGjRsrIiJCM2fOVM+ePeXs7Jy9bxAAAAAA0mB33RodHLKnpG3btsnDw0NNmza1TPP29laNGjW0bds2q3atW7e2CmFBQUGKjo7Wvn37sqUWAAAAALgfu7tyllG7d++Wv7+/kpKSVKdOHQ0ePFj169e3zD99+rS8vLxkMpmslvP29tbp06clSbGxsbp06ZK8vb1TtTGZTDp9+rQaNmyYpfoMw1BsbGyWloXtTCaTXF1dc7uMPCsuLo77LgEAALKBYRipMkl68mQ4q1+/vjp16qQqVaooPDxcwcHBeuWVV/TNN98oICBAkhQdHS13d/dUy3p6elq6St64cUPS7S6Sd3J2dparq6uioqKyXGNCQoJCQ0OzvDxs4+rqKl9f39wuI88KCwtTXFxcbpcBAACQL2T0Vqk8Gc4GDRpk9fqxxx5Tx44d9cUXX2jOnDm5VJU1JycnVatWLbfLeGhl9NsJpM3Ly4srZwAAANng5MmTGW6bJ8PZ3dzc3NSiRQutW7fOMs3Dw0OXL19O1TYqKkqenp6SZLmylnIFLUV8fLzi4uIs7bLCZDLJzc0ty8sDuYkuoQAAANkjMxcN7G5AkOzi7e2tsLCwVN/+h4WFWe4xc3NzU9myZS33oN3ZxjCMVPeiAQAAAEBOyRfhLDY2Vr/88ov8/Pws05o3b66oqCjt3LnTMi0sLExHjhxR8+bNrdpt2rRJCQkJlmkhISHy8PCw3L8GAAAAADnN7ro1xsXFaevWrZKkCxcuKCYmRmvXrpUkNWjQQKdPn9bcuXPVtm1blS9fXuHh4Zo/f76uXr2qzz//3LKegIAABQYGauTIkRo2bJhcXFw0efJk+fj46PHHH7e06927t1auXKm33npL3bt31/HjxxUcHKyhQ4fyjDMAAAAAD4zJsLO7/s+fP6/WrVunOW/BggUqU6aMPvjgAx07dkyRkZFydXVVQECABgwYoNq1a1u1v3HjhsaNG6cNGzYoMTFRgYGBGjVqlEqXLm3Vbu/evRo/frxCQ0NVrFgx9ejRQ3369MnyoBIHDx6UJKsrecgdZxe8r1vhZ3O7jDzDpVRlVe41NrfLAAAAyDcykw3sLpzlB4Qz+0E4yxzCGQAAQPbKTDbIF/ecAQAAAEBeRzgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtQILcLuNvZs2cVHBys/fv368SJE/L29taqVass82NiYjR//nxt3bpVZ86ckbOzs2rXrq2hQ4fKx8fH0u78+fNq3bp1qvXXqVNHS5cutZq2d+9eTZgwQaGhoSpevLi6d++uPn36yGQy5dwbBQAAAIA72F04O3HihLZu3ao6deooOTlZhmFYzb948aKWLFmiZ599VkOGDNGtW7c0b948de3aVcuXL1fVqlWt2r/55ptq2LCh5XWhQoWs5p89e1a9e/dW06ZNNWTIEB07dkwTJ06Uo6OjevfunXNvFAAAAADuYHfhrFWrVmrTpo0kafjw4Tp06JDV/AoVKmjDhg1ydXW1TGvUqJFatWqlxYsX67333rNqX7lyZfn7+6e7veDgYBUtWlSTJk2Ss7OzGjdurIiICM2cOVM9e/aUs7Nz9r05AAAAAEiH3d1z5uBw75Lc3Nysgpl0+2pYpUqVFB4enuntbdu2Ta1bt7YKYUFBQYqOjta+ffsyvT4AAAAAyAq7C2dZER0dbbk/7W5jxoxRjRo11LhxY40aNUqRkZGWebGxsbp06VKq5by9vWUymXT69OmcLh0AAAAAJNlht8as+PTTT2UymdS9e3fLNGdnZ3Xv3l2BgYHy8PDQ/v37NXPmTB06dEjLli2Tk5OTbty4IUny8PCwWp+zs7NcXV0VFRWV5ZoMw1BsbGyWl4dtTCZTqiusyLi4uLhU93sCAAAg8wzDyPBAg3k+nC1fvlxLly7V+PHjVaZMGcv0UqVKacyYMZbXDRo0UPXq1dWvXz9t2LBBQUFBOVpXQkKCQkNDc3QbSJ+rq6t8fX1zu4w8KywsTHFxcbldBgAAQL6Q0XEs8nQ427p1q0aPHq033nhDTz/99H3bt2jRQm5ubjp8+LCCgoLk7u4uSZYraCni4+MVFxcnT0/PLNfm5OSkatWqZXl52IbHINjGy8uLK2cAAADZ4OTJkxlum2fD2V9//aXBgwerc+fOGjx4cJbW4ebmprJly6a6tywsLEyGYaR5D1tGmUwmubm5ZXl5IDfRJRQAACB7ZOaiQZ4cEOTkyZPq16+fGjVqpLFjx2Z4uS1btig2NlZ+fn6Wac2bN9emTZuUkJBgmRYSEiIPDw8FBARka90AAAAAkB67u3IWFxenrVu3SpIuXLigmJgYrV27VtLt+8YMw1Dv3r3l4uKil156yeo5aIULF7Z0JRw/frxMJpP8/f3l4eGhAwcOaNasWapVq5blOWqS1Lt3b61cuVJvvfWWunfvruPHjys4OFhDhw7lGWcAAAAAHhi7C2fXrl1L1U0x5fWCBQskSZcvX5Ykvfzyy1btGjRooG+++UaSVLVqVX377bdaunSpbt68qdKlS6tLly4aNGiQChT4v7dduXJlBQcHa/z48erbt6+KFSumQYMG6dVXX82ptwgAAAAAqZgM7vrPdgcPHpQkq+6TyB1nF7yvW+Fnc7uMPMOlVGVV7pXxrsIAAAC4t8xkgzx5zxkAAAAA5DeEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADBbJrRZcuXVJ4eLji4+PTnF+/fv3s2hQAAAAA5Ds2h7PNmzfrk08+0dmzZ+/ZLjQ01NZNAQAAAEC+ZVO3xl27dmnAgAGKjY1Vjx49ZBiG6tWrp+eff17VqlWTYRhq0aKF+vfvn131AgAAAEC+ZNOVs9mzZ8vNzU0rVqxQiRIltHDhQjVs2FADBgyQJM2aNUtffvmlBg8enC3FAgAAAEB+ZdOVs0OHDqlNmzYqUaKEZZphGJb/79evn2rUqKHPP//cls0AAAAAQL5nUziLi4tT6dKlLa+dnZ0VExNj1cbf31/79u2zZTMAAAAAkO/ZFM5KlCihiIgIy+vSpUvr5MmTVm0iIyOVlJRky2YAAAAAIN+zKZw98sgjOnHihOV1w4YNtWvXLq1atUqxsbHavn271qxZIx8fH5sLBQAAAID8zKZw1qpVK4WGhurChQuSbt9j5ubmpnfeeUd169ZV3759lZiYqCFDhmRHrQAAAJlmJCfndgl5DvsMyB02jdbYpUsXdenSxfK6YsWK+v777zV//nydO3dO5cqVU/fu3VWjRg2bCwUAAMgKk4ODLq2epfhrF3O7lDzBuXg5le3QL7fLAB5KNj+E+m6VKlXS+++/n92rBQAAyLL4axd1K/xsbpcBAPdkU7dGAAAAAED2yNSVsz/++EOSVLt2bbm4uFheZ0T9+vUzVxkAAAAAPEQyFc569uwpk8mkkJAQeXl5WV5nRGhoaJYKBAAAAICHQabCWf/+/WUymVS0aFGr1wAAAAAA22QqnA0cOPCerwEAAAAAWcOAIAAAAABgB2wKZydPntSCBQsUERGR5vxr165pwYIFOnXqlC2bAQAAAIB8z6ZwNnv2bM2ZM0dFihRJc36RIkUUHBysuXPn2rIZAAAAAMj3bApne/bsUePGjeXgkPZqHB0d1bhx40wNuQ8AAAAADyObwtk///yjsmXL3rNN6dKldfXqVVs2AwAAAAD5nk3hzNXVVdeuXbtnm2vXrsnFxcWWzQAAAABAvmdTOKtZs6Y2btyo6OjoNOdHRUVpw4YN8vX1tWUzAAAAAJDv2RTOXnjhBUVGRqpXr16p7ivbvXu3evXqpejoaL344os2FQkAAAAA+V2mHkJ9tzZt2ujll1/WV199pV69esnZ2VklSpTQP//8o/j4eBmGod69e6tNmzbZVS8AAAAA5Es2hTNJGj58uBo2bKjFixfr4MGDunLlitzd3dWoUSO98MILatGiRXbUCQAAAAD5ms3hTJJatmypli1bZseqAAAAAOChZNM9ZwAAAACA7JEtV84SExMVFham6OhoJScnp9mmfv362bEpAAAAAMiXbApnhmHo888/18KFC/Xvv//es21oaKgtmwIAAACAfM2mcDZjxgzNnDlTHh4e6ty5s0qXLq0CBWy7GHf27FkFBwdr//79OnHihLy9vbVq1apU7ZYtW6a5c+fq4sWL8vLy0tChQ1Pd93bjxg2NGzdOGzduVEJCgpo1a6ZRo0apVKlSVu327t2rCRMmKDQ0VMWLF1f37t3Vp08fmUwmm94LAAAAAGSUTUlqxYoVKleunJYvX66iRYtmS0EnTpzQ1q1bVadOHSUnJ8swjFRtVq9erffee0+vv/66GjVqpJCQEA0YMECLFi2Sv7+/pd2QIUN08uRJjRkzRi4uLpoyZYr69Omj5cuXW0Lk2bNn1bt3bzVt2lRDhgzRsWPHNHHiRDk6Oqp3797Z8p4AAAAA4H5sCmdXr15V9+7dsy2YSVKrVq0sz0UbPny4Dh06lKrN1KlT1aFDBw0ZMkSS1KhRIx0/flwzZszQnDlzJEn79u3Tjh07FBwcrMDAQEmSl5eXgoKCtH79egUFBUmSgoODVbRoUU2aNEnOzs5q3LixIiIiNHPmTPXs2VPOzs7Z9t4AAAAAID02jdZYoUIFxcTEZFctkiQHh3uXdO7cOZ05c0bt27e3mh4UFKSdO3cqPj5ekrRt2zZ5eHioadOmljbe3t6qUaOGtm3bZpm2bds2tW7d2iqEBQUFKTo6Wvv27cuOtwQAAAAA92VTOOvevbt++eUXXbt2Lbvqua/Tp09Lun0V7E5Vq1ZVQkKCzp07Z2nn5eWV6r4xb29vyzpiY2N16dIleXt7p2pjMpks7QAAAAAgp9nUrbF169bas2ePunXrpv79+8vX11eFCxdOs225cuVs2ZRFVFSUJMnDw8NqesrrlPnR0dFyd3dPtbynp6elq+SNGzfSXJezs7NcXV0t68oKwzAUGxub5eVhG5PJJFdX19wuI8+Ki4tL835PAMhr+DzIOj4LgOxhGEaGBxq0OZyZTCYZhqERI0ak285kMunIkSO2bCrPSUhI4PEBucjV1VW+vr65XUaeFRYWpri4uNwuAwBsxudB1vFZAGSfjI5jYVM469y58wMfbt7T01PS7ateJUuWtEyPjo62mu/h4aHLly+nWj4qKsrSJuXKWsoVtBTx8fGKi4uztMsKJycnVatWLcvLwzY8BsE2Xl5efFsKIF/g8yDr+CwAssfJkycz3NamcDZ+/HhbFs+SlPvDTp8+bXWv2OnTp+Xk5KSKFSta2u3cuTPVZcSwsDCZzWZJkpubm8qWLZvq3rKwsDAZhpHqXrTMMJlMcnNzy/LyQG6iCxAAgM8CIHtk5ksimwYEyQ0VK1ZUlSpVtHbtWqvpISEhaty4seWSYfPmzRUVFaWdO3da2oSFhenIkSNq3ry5ZVrz5s21adMmJSQkWK3Lw8NDAQEBOfxuAAAAAOA2m66cpbh69arWr1+vsLAwxcbG6uOPP5YkRURE6Pz58zKbzSpYsGCG1hUXF6etW7dKki5cuKCYmBhLEGvQoIGKFSumgQMH6u2331alSpXUsGFDhYSE6MCBA1q4cKFlPQEBAQoMDNTIkSM1bNgwubi4aPLkyfLx8dHjjz9uade7d2+tXLlSb731lrp3767jx48rODhYQ4cO5RlnAAAAAB4Ym8PZokWLNGHCBMvzxUwmkyWcXbt2TV27dtXYsWP1/PPPZ2h9165d0+DBg62mpbxesGCBGjZsqI4dOyouLk5z5szR7Nmz5eXlpenTp6e60jVlyhSNGzdOo0ePVmJiogIDAzVq1CgVKPB/b7ty5coKDg7W+PHj1bdvXxUrVkyDBg3Sq6++muV9AgAAAACZZTJsuNNz8+bNeuONN1SrVi31799f27Zt03fffWc1SmHnzp1VqlQpzZ49O1sKzgsOHjwoSfLz88vlSnB2wfu6FX42t8vIM1xKVVblXmNzuwwAyHZ8HmQcnwVA9spMNrDpyllwcLDKlSunBQsWyM3NTYcPH07Vxmw2a8+ePbZsBgAAAADyPZsGBAkNDVWLFi3uOSph6dKlde3aNVs2AwAAAAD5nk3hzDAMq/u30nLt2jUG1gAAAACA+7ApnHl5eenPP/9Md35iYqL27Nljea4YAAAAACBtNoWzJ598UkeOHNH06dNTzUtKStKECRN07tw5de7c2ZbNAAAAAEC+Z9OAIC+++KI2b96sGTNmaOXKlZbui4MHD9ahQ4d04cIFNW3aVF26dMmWYgEAAAAgv7LpypmTk5OCg4PVt29fRUZG6sSJEzIMQ+vWrVNUVJT69OmjL7/8UiaTKbvqBQAAAIB8yeaHUDs7O2vo0KEaMmSITp8+raioKBUuXFhVq1aVo6NjdtQIAAAAAPmezeEshclkUtWqVbNrdQAAAADwULGpWyMAAAAAIHvYdOWsdevWGWpnMpm0ceNGWzYFAAAAAPmaTeHMMIw0p8fExCg6OlqSVLJkSTk5OdmyGQAAAADI92wKZ5s3b0533vnz5zV+/Hj9888/mj9/vi2bAQAAAIB8L8fuOatQoYImT56s6OhoTZ48Oac2AwAAAAD5Qo4OCOLk5KQmTZpozZo1ObkZAAAAAMjzcny0xps3byoqKiqnNwMAAAAAeVqOhrM9e/Zo9erV8vLyysnNAAAAAECeZ9OAIL169UpzelJSkq5cuaILFy5Ikvr372/LZgAAAAAg37MpnO3evTvN6SaTSR4eHmratKleeeUVNW3a1JbNAAAAAEC+Z1M4O3r0aHbVAQAAAAAPtRwfEAQAAAAAcH82hbMbN27o6NGjiouLS3N+bGysjh49qpiYGFs2AwAAAAD5nk3hbMaMGerevbuSkpLSnJ+cnKzu3bvryy+/tGUzAAAAAJDv2RTOtm/frqZNm6pw4cJpzi9cuLCaNWumbdu22bIZAAAAAMj3bApnFy9eVOXKle/ZpmLFirp48aItmwEAAACAfM+mcGYymRQfH3/PNvHx8UpOTrZlMwAAAACQ79kUzry9vbV9+3YZhpHm/OTkZG3btk1eXl62bAYAAAAA8j2bwlnHjh115swZjRw5Ujdu3LCad+PGDY0cOVJ///23nnrqKZuKBAAAAID8zqaHUPfo0UPr1q3TDz/8oE2bNsnPz0+lSpVSeHi4Dh48qOjoaNWvX189evTIrnoBAAAAIF+yKZw5OTnpq6++0pQpU7R06VL9+uuvlnmFCxdW7969NXjwYDk5OdlcKAAAAADkZzaFM0lycXHRsGHD9Pbbb+v06dO6ceOGPDw85OXlJUdHx+yoEQAAAADyPZvDWQpHR0dVr149u1YHAAAAAA+VbAlnV69e1fr16xUWFqa4uDh99NFHkqSIiAidP39eZrNZBQsWzI5NAQAAAEC+ZNNojZK0aNEitW7dWh9++KEWLlyoFStWWOZdu3ZNXbt21c8//2zrZgAAAAAgX7MpnG3evFkffvihzGazvvzyS3Xv3t1qfvXq1eXj46ONGzfaVCQAAAAA5Hc2dWsMDg5WuXLltGDBArm5uenw4cOp2pjNZu3Zs8eWzQAAAABAvmfTlbPQ0FC1aNFCbm5u6bYpXbq0rl27ZstmAAAAACDfsymcGYahAgXuffHt2rVrcnZ2tmUzAAAAAJDv2RTOvLy89Oeff6Y7PzExUXv27JHZbLZlMwAAAACQ79kUzp588kkdOXJE06dPTzUvKSlJEyZM0Llz59S5c2dbNgMAAAAA+Z5NA4K8+OKL2rx5s2bMmKGVK1daui8OHjxYhw4d0oULF9S0aVN16dIlW4oFAAAAgPzKpitnTk5OCg4OVt++fRUZGakTJ07IMAytW7dOUVFR6tOnj7788kuZTKbsqhcAAAAA8iWbrpxJkrOzs4YOHaohQ4bo9OnTioqKUuHChVW1alU5OjpmR40AAAAAkO/ZFM5at26t5s2b6/3335fJZFLVqlWzqy4AAAAAeKjY1K3x+vXrKly4cHbVAgAAAAAPLZvCmY+Pj86cOZNNpQAAAADAw8umcNanTx9t2bJFv//+e3bVAwAAAAAPJZvuOYuOjlbTpk3Vu3dvtW7dWn5+fipRokSaozPyrDMAAAAASJ9N4Wz48OEymUwyDEPr16/X+vXrJckqnBmGIZPJlK3hrGfPntq9e3ea8yZNmqQOHTqk2yYkJMRq4JIbN25o3Lhx2rhxoxISEtSsWTONGjVKpUqVyrZ6AQAAAOB+Mh3OYmJi5OzsLGdnZ40bNy4narqv999/XzExMVbTvv76a61fv16NGze2THv00Uc1bNgwq3YVKlSwej1kyBCdPHlSY8aMkYuLi6ZMmaI+ffpo+fLlKlDA5icNAAAAAECGZDp91K9fXwMGDFD//v319NNPS5L279+v/fv3q1evXtleYFqqVauWatpbb72lpk2bqlixYpZpHh4e8vf3T3c9+/bt044dOxQcHKzAwEBJkpeXl4KCgrR+/XoFBQVle+0AAAAAkJZMDwhiGIYMw7Catn379ly7iiZJe/fu1fnz5/Xkk09marlt27bJw8NDTZs2tUzz9vZWjRo1tG3btuwuEwAAAADSZdNojfZi1apVcnNzU+vWra2m7969W/7+/vLz89OLL76oP/74w2r+6dOn5eXllWoAE29vb50+fTrH6wYAAACAFHn+pqrExEStWbNGrVq1kpubm2V6/fr11alTJ1WpUkXh4eEKDg7WK6+8om+++UYBAQGSbo826e7unmqdnp6eOnTokE11GYah2NhYm9aBrDOZTHJ1dc3tMvKsuLi4VFfIASAv4vMg6/gsALJHygCJGZHnw9mvv/6qiIgIdezY0Wr6oEGDrF4/9thj6tixo7744gvNmTMnx+tKSEhQaGhojm8HaXN1dZWvr29ul5FnhYWFKS4uLrfLAACb8XmQdXwWANnH2dk5Q+3yfDhbtWqVihQpYhnQIz1ubm5q0aKF1q1bZ5nm4eGhy5cvp2obFRUlT09Pm+pycnJKc+ASPBgZ/XYCafPy8uLbUgD5Ap8HWcdnAZA9Tp48meG2WQpnK1eu1P79+y2v//77b0lSnz590mxvMpk0e/bsrGzqnm7evKmNGzfqqaeekpOTU6aX9/b21s6dO1NdagwLC5PZbLapNpPJZNXNEshL6AIEAOCzAMgemfmSKEvh7OzZszp79myq6du3b7e5oMzYvHmzYmNjMzRKY2xsrH755Rf5+flZpjVv3lxffPGFdu7cqSZNmki6HcyOHDmi1157LUdqBgAAAIC0ZDqcbdq0KSfqyJKVK1eqXLlyqlu3rtX0PXv2aO7cuWrbtq3Kly+v8PBwzZ8/X1evXtXnn39uaRcQEKDAwECNHDlSw4YNk4uLiyZPniwfHx89/vjjD/rtAAAAAHiIZTqclS9fPifqyLSoqCht375dL730UqorcyVLllRCQoImT56syMhIubq6KiAgQGPHjlXt2rWt2k6ZMkXjxo3T6NGjlZiYqMDAQI0aNUoFCuT52/EAAAAA5CF5NoHca7j7ypUrKzg4OEPrcXd318cff6yPP/44O8sDAAAAgEzJFw+hBgAAAIC8jnAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdoBwBgAAAAB2gHAGAAAAAHaAcAYAAAAAdiBPhrMVK1bIx8cn1b+JEydatVu2bJmeeOIJ+fn56amnntKWLVtSrevGjRsaOXKkGjRooICAAA0aNEjh4eEP6q0AAAAAgCSpQG4XYIu5c+fK3d3d8rp06dKW/1+9erXee+89vf7662rUqJFCQkI0YMAALVq0SP7+/pZ2Q4YM0cmTJzVmzBi5uLhoypQp6tOnj5YvX64CBfL07gEAAACQh+Tp9FGzZk0VK1YszXlTp05Vhw4dNGTIEElSo0aNdPz4cc2YMUNz5syRJO3bt087duxQcHCwAgMDJUleXl4KCgrS+vXrFRQU9EDeBwAAAADkyW6N93Pu3DmdOXNG7du3t5oeFBSknTt3Kj4+XpK0bds2eXh4qGnTppY23t7eqlGjhrZt2/ZAawYAAADwcMvT4axjx46qUaOGWrdurVmzZikpKUmSdPr0aUm3r4LdqWrVqkpISNC5c+cs7by8vGQymazaeXt7W9YBAAAAAA9CnuzWWLJkSQ0cOFB16tSRyWTS5s2bNWXKFF25ckWjR49WVFSUJMnDw8NquZTXKfOjo6Ot7llL4enpqUOHDtlUo2EYio2NtWkdyDqTySRXV9fcLiPPiouLk2EYuV0GANiMz4Os47MAyB6GYaS6GJSePBnOmjVrpmbNmlleBwYGysXFRV9//bVef/31XKzs/yQkJCg0NDS3y3houbq6ytfXN7fLyLPCwsIUFxeX22UAgM34PMg6PguA7OPs7JyhdnkynKWlffv2mjdvnkJDQ+Xp6Snp9jD5JUuWtLSJjo6WJMt8Dw8PXb58OdW6oqKiLG2yysnJSdWqVbNpHci6jH47gbR5eXnxbSmAfIHPg6zjswDIHidPnsxw23wTzu7k7e0t6fY9ZSn/n/LayclJFStWtLTbuXNnqkuNYWFhMpvNNtVgMpnk5uZm0zqA3EIXIAAAnwVA9sjMl0R5ekCQO4WEhMjR0VG+vr6qWLGiqlSporVr16Zq07hxY8tlxebNmysqKko7d+60tAkLC9ORI0fUvHnzB1o/AAAAgIdbnrxy1rt3bzVs2FA+Pj6SpE2bNmnp0qXq1auXpRvjwIED9fbbb6tSpUpq2LChQkJCdODAAS1cuNCynoCAAAUGBmrkyJEaNmyYXFxcNHnyZPn4+Ojxxx/PlfcGAAAA4OGUJ8OZl5eXli9frsuXLys5OVlVqlTRyJEj1bNnT0ubjh07Ki4uTnPmzNHs2bPl5eWl6dOnKyAgwGpdU6ZM0bhx4zR69GglJiYqMDBQo0aNUoECeXLXAAAAAMij8mQCGTVqVIbaPffcc3ruuefu2cbd3V0ff/yxPv744+woDQAAAACyJN/ccwYAAAAAeRnhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDADyMSM5ObdLyHPYZwCA3FIgtwsAAOQck4ODLq2epfhrF3O7lDzBuXg5le3QL7fLAAA8pAhnAJDPxV+7qFvhZ3O7DAAAcB90awQAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7QDgDAAAAADtAOAMAAAAAO0A4AwAAAAA7UCC3C8iKNWvW6Oeff9bhw4cVHR2typUrq2fPnnr22WdlMpkkST179tTu3btTLRsSEqKqVataXt+4cUPjxo3Txo0blZCQoGbNmmnUqFEqVarUA3s/AAAAAJAnw9lXX32l8uXLa/jw4SpatKh+++03vffee7p8+bIGDBhgaffoo49q2LBhVstWqFDB6vWQIUN08uRJjRkzRi4uLpoyZYr69Omj5cuXq0CBPLl7AAAAAORBeTJ9fPnllypWrJjldePGjRUZGan58+frjTfekIPD7d6aHh4e8vf3T3c9+/bt044dOxQcHKzAwEBJkpeXl4KCgrR+/XoFBQXl6PsAAAAAgBR58p6zO4NZiho1aigmJkaxsbEZXs+2bdvk4eGhpk2bWqZ5e3urRo0a2rZtW7bUCgAAAAAZkSevnKXlzz//VOnSpVW4cGHLtN27d8vf319JSUmqU6eOBg8erPr161vmnz59Wl5eXpb71FJ4e3vr9OnTNtVjGEamgiKyl8lkkqura26XkWfFxcXJMIzcLgM24jzIOs6B/IPzIOs4D4DsYRhGqryRnnwRzvbs2aOQkBCr+8vq16+vTp06qUqVKgoPD1dwcLBeeeUVffPNNwoICJAkRUdHy93dPdX6PD09dejQIZtqSkhIUGhoqE3rQNa5urrK19c3t8vIs8LCwhQXF5fbZcBGnAdZxzmQf3AeZB3nAZB9nJ2dM9Quz4ezy5cva+jQoWrYsKF69eplmT5o0CCrdo899pg6duyoL774QnPmzMnxupycnFStWrUc3w7SltFvJ5A2Ly8vvi3NBzgPso5zIP/gPMg6zgMge5w8eTLDbfN0OIuOjlafPn1UpEgRTZs2zTIQSFrc3NzUokULrVu3zjLNw8NDly9fTtU2KipKnp6eNtVmMpnk5uZm0zqA3EIXIDzsOAcAzgMgu2TmS6I8OSCIJN28eVP9+vXTjRs3NHfu3DS7J96Pt7e3wsLCUn0rFBYWJm9v7+wqFQAAAADuK0+Gs8TERA0ZMkSnT5/W3LlzVbp06fsuExsbq19++UV+fn6Wac2bN1dUVJR27txpmRYWFqYjR46oefPmOVI7AAAAAKQlT3ZrHDt2rLZs2aLhw4crJiZGf/31l2Wer6+vDhw4oLlz56pt27YqX768wsPDNX/+fF29elWff/65pW1AQIACAwM1cuRIDRs2TC4uLpo8ebJ8fHz0+OOP58I7AwAAAPCwypPh7Ndff5UkjR8/PtW8TZs2qWTJkkpISNDkyZMVGRkpV1dXBQQEaOzYsapdu7ZV+ylTpmjcuHEaPXq0EhMTFRgYqFGjRqlAgTy5awAAAADkUXkygWzevPm+bYKDgzO0Lnd3d3388cf6+OOPbS0LAAAAALIsT95zBgAAAAD5DeEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDACAPCI52cjtEgAAOahAbhcAAAAyxsHBpBnfH9GFq7G5XUqeUad6MXVt453bZQBAhhDOAADIQy5cjdWZSzG5XUaeUa6EW26XAAAZRrdGAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4SzPIIHjwIAAAD5G885yyN48Gjm8NBRAAAA5DWEszyEB49mHA8dBQAAQF5Dt0YAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAAAAALADhDMAAAAgHzOSk3O7hDwpN/ZbgQe+RQAAAAAPjMnBQZdWz1L8tYu5XUqe4Vy8nMp26PfAt0s4AwAAAPK5+GsXdSv8bG6XgfugWyMAAAAA2AHCGQAAAADYAcIZAAAAANgBwhkAAAAA2AHCGYA8ITnZyO0SAAAAchSjNQLIExwcTJrx/RFduBqb26XkGXWqF1PXNt65XQYAAMggwpmkU6dO6X//+5/27dunQoUKqVOnThoyZIicnZ1zuzQAd7hwNVZnLsXkdhl5RrkSbrldAgAAyISHPpxFRUXppZdeUpUqVTRt2jRduXJF48eP182bNzV69OjcLg8AAADAQ+KhD2ffffed/v33X02fPl1FihSRJCUlJWns2LHq16+fSpcunbsFAgAAAHgoPPQDgmzbtk2NGze2BDNJat++vZKTk/Xrr7/mXmEAAAAAHiomwzAe6iHQGjdurGeffVZvv/221fRmzZqpU6dOqaZnxN69e2UYhpycnLKrTJlMJkX/m6CkpORsW2d+5uzkqEKuBZQUe0NGcmJul5NnmBwKyNHNXfb4a4FzIPM4DzLPns8BifMgKzgPMs/ezwNknslk4hzIpOw8DxISEmQymfToo4/et+1D360xOjpaHh4eqaZ7enoqKioqS+s0mUxW/80uHoWyL+w9LBzd3HO7hDwpu4/d7MI5kDWcB5lnr+eAxHmQVZwHmWfP5wEyj3Mga7LjPDCZTBlez0MfznJCQEBAbpcAAAAAII956O858/Dw0I0bN1JNj4qKkqenZy5UBAAAAOBh9NCHM29vb50+fdpq2o0bN3T16lV5e/PwVgAAAAAPxkMfzpo3b67ffvtN0dHRlmlr166Vg4ODmjZtmouVAQAAAHiYPPSjNUZFRalDhw7y8vJSv379LA+hfvLJJ3kINQAAAIAH5qEPZ5J06tQpffjhh9q3b58KFSqkTp06aejQoXJ2ds7t0gAAAAA8JAhnAAAAAGAHHvp7zgAAAADAHhDOAAAAAMAOEM4AAAAAwA4QzgAAAADADhDOAAAAAMAOEM4AAAAAwA4QzpBjnnrqKfn4+GjPnj2p5u3atUs+Pj46ePCgZZqPj4+Cg4Pvuc6ePXuqX79+2V5rVg0fPlwdO3bM7TIeetOmTVNAQECml9u1a5dmzpyZAxXljnr16mnatGmW11k5X6KjozVt2jSdPHky2+qyt/Mkq8dLfjVt2jT5+PhY/vn5+al9+/aaM2eOkpOTc2y7rVq10gcffJBj689u9nbcrFixQj4+PoqIiMjtUh4qd58vd/6bPXt2bpeXSmhoqKZNm6a4uLj7trW3YyqtvxUfBgVyuwDkTydOnNCxY8ckSStXrlS9evVyuSIgtd27d2vevHl6/fXXc7uUHPH+++/LwSFz38FFR0dr+vTpql69uqpVq5ZDlcHeFCxYUF9//bUk6ebNm9q1a5c+++wzGYahvn375sg2p0+fLg8PjxxZN5CT7jxf7lS2bNlcqObeQkNDNX36dPXo0UOurq65XQ4ygHCGHLFy5Uo5ODiofv36Wrt2rUaNGiUnJ6fcLgvIUTdv3lTBggVzuwwLwhUyysHBQf7+/pbXjRo10vHjx7V+/focC2e+vr45sl5bxMfHq0CBApn+UgMPl7vPF3uUlJSUo1e+kXP47YNsZxiGVq1apUaNGumVV15RZGSktm/f/sC2v2/fPvXq1Uv+/v6qW7eu3nrrLV27ds0yP72uNBMmTFDz5s0tv8zi4+M1adIktWzZUrVq1VL79u21cuXKe247Ojpao0aNUrNmzeTn56cWLVpo6NCh2fsGcV/nz5+Xj4+PfvrpJ33wwQeqX7++AgMDNWHCBCUmJkq63TVl+vTpio2NtXRJ6dmzp2Udp06d0n/+8x/VrVtX/v7+6tu3r/7++2+r7aR0Y/n000/VtGlTNW7cWNL/HWNfffWVWrRooYCAAA0fPlzx8fEKDQ1Vt27d5O/vry5duliuMKcwDEPBwcF64oknVKtWLbVu3VpfffVVqve4ceNGtWvXTn5+furSpYsOHDiQqs3d3RpPnTqloUOHqkWLFqpTp46CgoI0b948yzF//vx5tW7dWpI0ePBgy345f/68pKydExl1v/2dXhfNhQsXqnbt2rpx44akjO8/3F+hQoUs50uKjB4D3333nVq2bKk6derolVde0ZEjR+Tj46MVK1ZY2tz9uzil++uuXbvUuXNnyzly6NAhq3X7+Phozpw5mjZtmpo0aaKGDRtqxIgRio2NtWp3+fJlvf3222rYsKFq166tHj16pFpXSg1z5sxRy5YtVbt2bUVGRmZ1l913m+l18d2yZYt8fHx0+vRpy7QVK1boySeflJ+fn5o1a6bJkycrKSkpy7Xhwdm4caN8fHy0ZcsWy7TIyEg1a9ZMb775pmVaymfIJ598okaNGlk+K2JiYqzWFx0drTFjxigwMFC1atXSM888ox07dli1Sfkd+cMPP+iJJ56Qn5+fFixYoBEjRkiSGjduLB8fH7Vq1cqm93a/WqZNm6YGDRooISHBarnjx4/Lx8fH6u/BX375Rc8995xq166tRo0a6f333091Hj+MuHKGbLd3715duHBB/fv3V2BgoIoUKaJVq1bZ/AshI/bt26eePXuqRYsWmjx5suLi4jRlyhS98cYbWrJkiSSpQ4cOWrFihf773//K0dFR0u0/6EJCQhQUFGT5xnTw4MHau3ev+vfvr6pVq2rr1q1655135OHhoRYtWqS5/XHjxmn79u166623VL58eV29elXbtm3L8feNtE2ZMkWtW7fWlClTtG/fPk2bNk2VKlVS9+7d9dxzz+ny5ctatWqVpXtK4cKFJUnnzp1Tt27dVL16dY0fP14mk0kzZ87Uyy+/rLVr18rZ2dmyjQULFqhOnTr66KOPrP6Q3bRpk6pXr64PPvhA586d0/jx4+Xk5KS//vpLL7/8skqUKKGJEydq8ODBCgkJsRx3H330kZYtW6bXX39dderU0d69ezVx4kS5uLioe/fukm53Uxk0aJCaN2+uESNG6Pz58xoyZIji4+PvuT/Cw8Pl5eWlJ598UoUKFbLcixAbG6sBAwaoVKlSmj59ugYMGKA333xTDRs2lCSVKlVKUtbOiYzIyP7u0KGD/ve//ykyMlJFihSxLLtq1Sq1aNFC7u7uGd5/SFvK8ZvSrXH9+vWpAnFGjoFNmzbp/fff13PPPacnnnhCoaGhGjJkSIZquHr1qv73v/+pb9++cnd312effaYBAwZow4YNVr0vFi1apLp162r8+PE6c+aMPvnkExUvXlxvv/22JCkqKkovvPCC3Nzc9N5778nd3V3ffPONXnrpJa1fv17Fixe3rGv9+vWqXLmy/vvf/8rBwUFubm5Z2n8Z2WaHDh30ww8/6Pjx4zKbzZZlV61apZo1a8rb21uSNH/+fH366ad66aWXNHz4cJ06dcoSzlLeI3LX3V9cSFKBArf/rG7Tpo06d+6sUaNGaeXKlSpWrJjGjh0r6XZ38zt98803qlmzpiZMmKDz589r4sSJunXrliZPnizp9hcir7zyiq5du6YhQ4aodOnS+vnnn9WvXz/LPWIpDh06pAsXLmjw4MHy8PDQI488ohs3bujLL7/U3Llz5e7ubvX5lVkZqaVDhw6aPn26duzYoZYtW1qWXb16tYoXL64mTZpIktauXauhQ4fqmWee0cCBA3X16lV99tlnio6Otrz3h5YBZLMxY8YYfn5+RnR0tGEYhvHee+8ZderUMWJiYixtfv/9d8NsNhsHDhywTDObzcbcuXPvue4XX3zR6Nu3b7rze/ToYXTt2tVITk62TDtx4oTh4+Nj/PLLL4ZhGEZoaKhhNpuNHTt2WNrs3r3bqp6dO3caZrPZ2L59u9X6hwwZYjz77LOW18OGDTM6dOhged2hQwdj3Lhx93wPyH5Tp041/P39La/PnTtnmM1mY9CgQVbtXnzxReOll15Kd7kU7777rtG6dWvj5s2blmnXrl0z/P39jYULF1qmmc1mIygoyOp4MwzDaNmypdG8eXPj1q1blmkDBw40zGazsXXrVsu0zZs3G2az2QgNDTUMwzDOnj1r+Pj4GN99953V+j799FOjadOmRlJSkmEYt4/DVq1aGYmJiZY2y5YtM8xmszF16lSr95ve+ZKcnGwkJCQYX375pdG0aVPL9JR9t2bNGqv2GT0n0nL3eXK3jOzviIgIo2bNmsaSJUssbc6fP2/4+PhYas3o/kvv5/6wmjp1qmE2m1P9GzJkiNUxltFj4NlnnzV69epl1WbGjBmG2Ww2li9fbpnWsmVLY+zYsZbXw4YNM3x8fIzjx49bpqV8Vvzxxx+WaWaz2ejSpYvV+ocNG2a0adPG8vrzzz836tata/zzzz+Wabdu3TIee+wxY8KECVY1NGjQwPj3338ztJ/uddxkZJsJCQlGo0aNjEmTJlnaxMbGGv7+/pbPvxs3bhj+/v7GZ599ZrX+xYsXG7Vr1zYiIiIMwzCM5cuXG2az2bh27dp9a0f2Se98ufs4jY6ONlq0aGH079/fWLlypWE2m41t27ZZrctsNqf5u9zHx8c4efKkYRiG8f333xu+vr7GiRMnrJZ97rnnrD7jXnzxRaNmzZrGxYsXrdpl5ji5X9uM1tK5c2fjzTfftGrTunVry/menJxstGzZMlWbrVu3Wv0OSOtvxYcB3RqRrRITE7V27Vqrb7KffPJJxcXFacOGDTm67bi4OO3du1ft2rVTUlKSEhMTlZiYqCpVqqhs2bKW0X4eeeQRVatWTatXr7Ysu3r1alWpUkV+fn6SpF9//VVFihRRo0aNLOtJTExUkyZNFBoamm7XEl9fX/3www8KDg7W8ePHc/T94v4CAwOtXletWlWXL1++73K//vqrWrVqJUdHR8vP3sPDQ76+vqm6RTVv3lwmkynVOurXr2/1DWWVKlXk4OCgRo0aWU2TpEuXLkmSfvvtN0nS448/nuq4u3r1qqXd/v371bJlS8uVX0lq167dfd/XrVu3NHXqVLVt21Z+fn6qWbOmJk+erKtXr+rff/+97z7JyjmRERnZ30WLFlWTJk2sztuQkBC5ublZvp3N6P5DagULFtT333+v77//XosXL9Z///tfbd++XaNGjbK0ycgxkJSUpNDQ0FQ9JVK6y95PqVKlVL16dcvrlPsmr1y5YtUu5dv3FHef27/++qsaNmwoT09PS50p90HfPfJbw4YNs3y17E4Z2WaBAgXUrl07hYSEWJbbsmWL4uLi1KFDB0m3e4DExsaqXbt2qfbzzZs3deLECZtrhW3uPF/u/FejRg1LG3d3d40bN04bN27UiBEj1L17dzVr1izVutL6XW4YhuWY+fXXX2U2m1WlSpVUx8Pdx7LZbM7RQUkyWkuHDh20efNm3bx5U5J04MABnTt3znKMh4WF6cKFC2rfvr3Veho0aCAHB4dUn7MPG7o1Ilv9+uuvioiIUMuWLRUdHS3p9i+LkiVLatWqVercuXOObTs6OlpJSUkaN26cxo0bl2r+nX+YdejQQfPnz9eYMWPk4OCgdevWWXV5un79uiIjI1WzZs00t3X16lWVKVMm1fT33ntPnp6emj9/vj755BOVLVtWffv21QsvvJAN7xCZlfIFQQonJ6f7dv2Tbv/8v/766zRH47p7YJs7u0fd6e5R6JycnFSwYEGrwJayrlu3blm2axiGVYC706VLlyzdZe/ebuHCheXi4nLP9/Xpp59q2bJl6t+/v2rVqiV3d3dt2rRJX375pW7duqVChQqlu2xWz4mMyOj+7tChg4YPH66rV6+qZMmSWr16tdq2bWt53xndf0jNwcHB8uWUJNWtW1dJSUkaP368XnnlFZnN5gwdAykBu1ixYlbz0jtP7pbWeSP93zlyr3Z3ntvXr1/XX3/9lWatlSpVylJt95PRbXbo0EGLFy/WgQMHVLt2ba1evVr16tWznD/Xr1+XJD399NNpbocvGXLf3edLeurWraty5crpwoULevHFF9Nsk97v8vDwcEm3j4cjR46keVzdGeokqUSJEhl9C1mS0Vo6dOigiRMnavPmzQoKCtKqVatUvnx5Pfroo5b1SFL//v3T3M7DfowTzpCtUm4MHzFihOUm1BTXr1/XtWvXsu2D8G7u7u4ymUzq16+f2rRpk2p+0aJFLf/foUMHff7559q+fbucnZ0VERFh+UZHkjw9PVWsWLF0n1ly9x8ed9bw3//+V//973917NgxLViwQGPHjpXZbOZxAnmIp6enWrRokWaovjvApHXVzJbtmkwmLV68OM3RTb28vCRJJUuWtBrkRpJiYmJS/QF7t7Vr16pr165Wo+9t3bo1w7Vl5ZzI6Lozsr9bt24tZ2dnrVmzRoGBgQoNDbW6uT6j+w8Zk3L/08mTJ2U2mzN0DDg6OqpAgQKpnpN09/Ga0zw9PdWsWTMNHjw41by777nJrnM4o9usW7euypYtq9WrV8vLy0vbtm3TyJEjrdYj3X7UQFpfeFSoUCFb6kXOmzp1qq5fv64qVapo7NixWrBgQarjLb3f5Sn3+np6esrHx0cfffTRfbeXnZ9HacloLWXLltWjjz6qkJAQtWvXTmvWrFGnTp0s9aXcNzx69GjVrl071fIp7/1hRThDtomLi9OmTZvUpk0b9erVy2reP//8ozfffFMhISFWI+JlJzc3N/n7++v06dP3/UarcuXK8vPz0+rVq+Xs7KwaNWqoatWqlvlNmjTR3Llz5eTkpEceeSRL9fj4+GjEiBH6/vvvderUKcKZHUrvSlrjxo114sQJ+fr6pvpmMieljPYYGRl5zwF0ateurS1btmjEiBGW+tauXXvf9d+6dcsqtCQlJVl1E5TSv1KRHedEejK6vwsXLqzHHntMq1evVlRUlIoVK2bVvS2j+w8Zk9J9LuWLrYweAzVq1NCmTZv00ksvWaZt3LgxZ4u9S5MmTfTzzz+ratWq2dJlMTu3aTKZLFcTqlevruTkZD3xxBOW+QEBAXJ1ddXly5fVtm3bB1E6csDevXsVHBysMWPGyNfXV926ddPXX3+tl19+2apdWr/LTSaT5e+YJk2aaOvWrSpVqpRKly6d6TpSfqdnpNfI/WSmlg4dOmj8+PHasmWLwsPDrUYp9fb2VpkyZXTu3Dn16NHD5rryG8IZss2mTZsUGxurnj17WkZ5u9PcuXO1atUqm8PZ1atX0/xD9LHHHtO7776rl156SUOGDFGHDh3k4eGhy5cv67ffftMzzzxjVVfHjh31+eefy9HRMdVDiJs2baqWLVvqtdde02uvvSYfHx/FxcXp5MmTOnv2bLrfGnXr1k1t27ZV9erV5ejoqB9//FFOTk4EMztVtWpVJSYm6uuvv1ZAQIAKFy4sb29vDRo0SF26dFHv3r31/PPPq0SJEvrnn3+0e/du1atXL82hsLODl5eXevTooXfffVe9e/dWnTp1lJCQoDNnzmjXrl364osvJEl9+/ZVly5d1L9/f3Xv3l3nz59XcHDwfbs1NmnSRMuWLVO1atVUtGhRLV68ONUHdsmSJeXh4aHVq1erQoUKcnZ2lo+PT5bPiRQxMTFpnrcNGzbM1P7u2LGjBgwYoAsXLqhdu3aW0dEys/+QWnJysv766y9JUkJCgg4fPqwvv/xS1apVs/z+yugx8J///EdvvPGGRo0apXbt2unIkSP68ccfJemBPT/s5Zdf1sqVK/Xiiy+qV69eKleunCIiIrR//36VLl061R/IGZWUlJTmcVy7du1MbbNjx44KDg7W559/rqZNm1pdefbw8NCgQYP06aef6vLly2rQoIEcHR117tw5bdq0SdOmTeNhwrnszvPlTsWLF1fFihUVGxurYcOGKTAwUF27dpUkvf7665o0aZKaNWtm9WVwfHy81e/yiRMn6oknnrC06dy5s7777jv16tVLr776qqpUqaIbN27oyJEjSkhI0FtvvXXPWlPWs2jRIrVp00YFCxa0GuExLVu2bEnVS6R69eqZqqV9+/b6+OOPNWbMGFWrVs3qCx2TyaThw4fr7bffVmxsrB577DG5urrq4sWL2rp1q4YOHfpQ93QgnCHbrFq1SuXKlUszmEm3f8F8/PHHqZ4VlVmHDx9Os9vI1q1b9eijj2rx4sWaNm2aRowYoYSEBJUpU0aNGjVS5cqVrdq3b99eEyZMkGEYVl0aU0ydOlWzZ8/Wt99+qwsXLsjd3V3Vq1fXM888k25tjz76qH788UedP39eDg4OMpvNmjlzptUvYtiPli1b6oUXXtDs2bN17do11a9fX998840qV66sZcuWacqUKRo7dqxiY2NVsmRJ1a9f/74farYaNWqUvLy8tGTJEs2YMUOFChWSl5eX1YAfvr6++vzzzzVx4kQNGDBA1atX1+TJk9W7d+97rvu9997T+++/rw8//FCurq56+umn1bZtW6tBHxwcHDRu3DhNmjRJL7/8suLj47Vp0yZVqFAhS+dEikuXLqV53i5atEj16tXL8P5OGWzo6tWraZ63Gdl/SO3mzZuWPyILFCigMmXK6KmnntKAAQOsrrZm5Bho3bq1xowZo1mzZunnn39WnTp1NGbMGL366quWx1XktKJFi2rJkiWaMmWKJk6cqMjISBUvXlx16tSx6WrUrVu30jyOP/nkE3Xq1CnD2/T19ZWXl5fCwsLSHBr/1VdfVenSpTV//nwtXLhQBQoUUKVKlfTYY4+l2WUXD9ad58udunTpoo8++kjjx49XdHS01ZdW//nPf/TLL7/o3Xff1ZIlSyxfLPXs2VMRERF69913FR8fr7Zt22r06NGW5ZydnbVgwQJNmzZNM2fO1NWrV1WkSBH5+vpm6H52X19fDRw4UMuWLdPcuXNVtmxZbd68+Z7L3NnNNsXgwYP1xhtvZLiWYsWKqVGjRtqxY0eajzFp3769PDw8NHPmTMstMeXLl1ezZs1y/N45e2cyDMPI7SIAAED+tWzZMo0aNcoS9AHcvv0h5Uo/kIIrZwAAINtERkZq+vTpatSokQoVKqSDBw9q5syZat26NcEMAO6DcAYAALJNgQIFdO7cOa1atUo3btxQ0aJF1alTpzS77wEArNGtEQAAAADswIMZNgkAAAAAcE+EMwAAAACwA4QzAAAAALADhDMAAAAAsAOEMwAAAACwA4QzAACyaPjw4fLx8dH58+fz9TYBAA8G4QwA8NA7f/68fHx85OPjo969e6fZ5q+//pKPj4+GDx/+gKsDADwsCGcAANxhx44d2rlzZ4bavvnmmwoJCVHp0qVzuCoAwMOAcAYAwP9Xvnx5OTg4aOLEiTIM477tS5UqpapVq8rJyekBVAcAyO8IZwAA/H9eXl7q1KmTDh06pDVr1ty3/d33f+3Zs0c+Pj4aMWJEmu2vXbummjVrqlu3blbTY2JiNHXqVHXo0EG1a9dWvXr11Lt3b+3Zs8f2NwUAyDMIZwAA3GHQoEFydnbWlClTlJCQkKll69atq/Lly2v9+vW6detWqvmrVq1SYmKiOnXqZJkWGRmpbt26acaMGfLw8FC3bt30+OOP69ChQ3rppZe0ceNGm98TACBvIJwBAHCHcuXK6cUXX9TZs2e1ZMmSTC1rMpn01FNPKSYmRps2bUo1/6effpKTk5Pat29vmfbhhx/qxIkT+t///qdvv/1WI0eO1Mcff6yQkBCVLFlS7733XppBDwCQ/xDOAAC4y+uvvy4PDw998cUX+vfffzO1bMpVsZ9//tlq+qlTp3T48GG1aNFCRYoUkSRFRERozZo1atSokZ577jmr9sWLF1fv3r0VERGh3377LetvBgCQZxTI7QIAALA3np6e6tOnjz777DPNmzdPAwcOzPCyXl5eql27tnbs2KGIiAgVK1ZM0v+FtTu7NB48eFBJSUmKj4/XtGnTUq3rzJkzkqTTp0+rZcuWNrwjAEBeQDgDACANvXr10qJFizRv3jy98MILmVq2U6dOOnDggNasWaMePXrIMAytXLlSnp6eeuyxxyztoqKiJEl79+7V3r17011fXFxclt4DACBvoVsjAABpKFiwoAYOHKjY2FhNnz49U8sGBQXJycnJcrXsjz/+0IULF9SuXTs5Oztb2hUuXFiS9Oqrr+rYsWPp/hswYED2vTEAgN0inAEAkI6nn35a1atX17Jly3T27NkML1esWDEFBgbqr7/+0tmzZy0h7amnnrJq5+fnJ5PJpH379mVr3QCAvIlwBgBAOhwdHTV06FAlJCRk+upZyr1ly5Yt09q1a1WhQgXVrVvXqk3JkiXVvn177du3T3Pnzk3zwdf79++nWyMAPCS45wwAgHto3bq16tatqz///DNTy7Vq1Uru7u766quvlJCQoJ49e8pkMqVq9/777yssLEyffvqpfvrpJwUEBMjd3V2XL1/WoUOHdObMGe3YsUOurq7Z9ZYAAHaKK2cAANzH22+/nellXFxc1K5dO8uDrO/u0piiSJEi+u677/TOO+/IyclJK1eu1MKFC/XXX3+pWrVqmjBhgooWLWpT/QCAvMFkpNWHAgAAAADwQHHlDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7ADhDAAAAADsAOEMAAAAAOwA4QwAAAAA7MD/A2Fx1jTVAGckAAAAAElFTkSuQmCC\n"},"metadata":{}}],"source":["# Análisis bivariante entre dos variables categóricas\n","\n","# Gráfico de barras agrupado\n","plt.figure(figsize=(10, 6))\n","sns.countplot(x='level', hue='is_paid', data=data, palette='muted')\n","\n","# Personalización del gráfico\n","plt.title('Gráfico de Barras Agrupadas: Level vs Is_Paid', fontsize=16)\n","plt.xlabel('Nivel', fontsize=14)\n","plt.ylabel('Frecuencia', fontsize=14)\n","\n","# Mostrar el gráfico\n","plt.show()\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"rxUjAYOxO-6g","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732832395223,"user_tz":-60,"elapsed":388,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"e960816d-9144-4211-8b55-766deab1d972"},"outputs":[{"output_type":"stream","name":"stdout","text":["Tabla de Contingencia:\n","is_paid             False  True  Total\n","level                                 \n","All Levels            122  1807   1929\n","Beginner Level        158  1112   1270\n","Expert Level            0    58     58\n","Intermediate Level     30   391    421\n","\n","Tabla de Contingencia con Porcentajes (%):\n","is_paid                 False        True  Total (%)\n","level                                               \n","All Levels           6.324520   93.675480      100.0\n","Beginner Level      12.440945   87.559055      100.0\n","Expert Level         0.000000  100.000000      100.0\n","Intermediate Level   7.125891   92.874109      100.0\n"]}],"source":["# Crear la tabla de contingencia\n","contingency_table = pd.crosstab(data['level'], data['is_paid'])\n","\n","# Calcular el porcentaje por fila\n","contingency_table_percentage = contingency_table.div(contingency_table.sum(axis=1), axis=0) * 100\n","\n","# Añadir los totales y mostrar ambas tablas\n","contingency_table['Total'] = contingency_table.sum(axis=1)\n","contingency_table_percentage['Total (%)'] = contingency_table_percentage.sum(axis=1)\n","\n","# Mostrar las tablas\n","print(\"Tabla de Contingencia:\")\n","print(contingency_table)\n","\n","print(\"\\nTabla de Contingencia con Porcentajes (%):\")\n","print(contingency_table_percentage)\n","\n"]},{"cell_type":"markdown","source":["Estudiando el análisis bivariante de dos variables categóricas como es el caso de 'is_paid' con 'level', visualizamos en el gráfico y en la tabla de contingencia como los cursos dirigidos a 'All levels' y 'Beginner Level' y 'Intermediate Level' presentan un % similar de cursos gratis (entre el 6 y el 12% de esos cursos són gratis). Mientras que los cursos dirigidos a 'Expert Level' tienen un 0% de cursos gratis.\n","\n","\n","Esto nos dice que la gente que quiere cursos de nivel experto sólo los quiere de pago. Mientras que en niveles intermedios y principiantes hay un mínimo % de clientes que optan por los cursos gratis."],"metadata":{"id":"rUg6ODrPMobq"}},{"cell_type":"code","source":["# Seleccionar solo columnas numéricas\n","numeric_data = data.select_dtypes(include=['float64', 'int64'])\n","\n","# Calcular la matriz de correlación y crear el heatmap\n","plt.figure(figsize=(10, 8))  # Ajustar el tamaño del gráfico\n","sns.heatmap(numeric_data.corr(), annot=True, cmap='coolwarm', fmt=\".2f\")\n","\n","# Título del heatmap\n","plt.title('Matriz de Correlación', fontsize=16)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":706},"id":"fNGRTf3YO8GI","executionInfo":{"status":"ok","timestamp":1732704456150,"user_tz":-60,"elapsed":607,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"32234ee0-96b7-4201-954c-b473156731a7"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Si utilizamos la matriz de correlación entre nuestras variables cuantitativas, observamos que 'num_lectures' y 'content_duration' mantienen una relación lineal notable ( de 0.8), lo cuál se nos hace \"obvio\" ya que si aumenta la variable número de clases es lógico pensar que aumenta la variable duración.\n","\n","También cabe destacar la relación que mantienen variables como 'num_reviews' y 'num_subscribers' ( de 0.65). Eso significa que al aumentar la variablle número de suscriptores también aumenta la variable número de reviews ( también se nos hace obvio, pero la matriz correlacional nos lo muestra) ."],"metadata":{"id":"XbKszFYfO_Q_"}},{"cell_type":"markdown","metadata":{"id":"iqK7-Jsb6Frr"},"source":["##3. Comprobación de la normalidad de alguna/s variable/s del conjunto de datos"]},{"cell_type":"markdown","metadata":{"id":"0XhTza_37xNH"},"source":["Para la comprobación de la normalidad comprobaremos diferentes aspectos, que nos indicaran la normalidad o no de nuestra variable. Estos serán los aspectos a tener en cuenta:\n","1. Simetría entre media y mediana\n","2. Gráfico Histograma\n","3. Gráfico Densidad\n","4. Gráfico de cajas\n","5. Gráfico Q-Q plot"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ogr7QBQn1W28","outputId":"44dcf6da-a1e9-4dcc-bce0-0a0581978fac"},"outputs":[{"data":{"text/plain":["count    3678.000000\n","mean       66.049483\n","std        61.005755\n","min         0.000000\n","25%        20.000000\n","50%        45.000000\n","75%        95.000000\n","max       200.000000\n","Name: price, dtype: float64"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["data['price'].describe()"]},{"cell_type":"markdown","metadata":{"id":"9bKSyDqH1W29"},"source":["El valor de la media (mean) y de la mediana (50%) no son próximos"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":469},"executionInfo":{"elapsed":722,"status":"ok","timestamp":1732531366655,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"},"user_tz":-60},"id":"uYy5OX-B6eOL","outputId":"59e30e56-18d8-406f-ab8e-8eae6884a3b6"},"outputs":[{"data":{"text/plain":["<Axes: title={'center': 'Histograma con pandas'}, ylabel='Frequency'>"]},"execution_count":16,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Visualizamos la variable PRICE en histograma\n","data[\"price\"].plot(kind='hist',bins=40, linewidth=0.5, edgecolor=\"white\", title = \"Histograma con pandas\", xlim=(0, 80))"]},{"cell_type":"markdown","metadata":{"id":"q4Vrt5ij-MV4"},"source":["Vemos que nuestro histograma no sigue una distribución normal, ya que debería ser algo parecido a lo que se muestra en la imagen.![image.png](data:image/png;base64,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)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":542,"status":"ok","timestamp":1732532406761,"user":{"displayName":"Edu 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\n","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Gráfico de densidad para la variable 'price'\n","sns.kdeplot(data=data, x='price', fill=True, color=\"blue\", alpha=0.6)\n","plt.title(\"Gráfico de Densidad de la Variable 'Price'\")\n","plt.xlabel(\"Price\")\n","plt.ylabel(\"Densidad\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"UHLW7olz-pI4"},"source":["El gráfico de densidad tampoco se asemeja a uno de distribución normal"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"cXQh2z7v1W29","outputId":"50f3cb44-99ad-4aa9-85b5-1c212b2f43af"},"outputs":[{"data":{"text/plain":["<Axes: >"]},"execution_count":42,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Visualizamos PRICE en boxplot\n","data.boxplot(column=\"price\")"]},{"cell_type":"markdown","metadata":{"id":"MTqcV_FUAKeF"},"source":["Tras analizar este boxplot, podemos ver ciertos indicadores de que nuestra variable no sigue una d.normal, estos pueden ser:\n","- La mediana no está centrada, entre Q2 y Q3\n","- Los bigotes deberían tener longitudes similares, mientras que en el nuestro vemos que la mediana de los precios se aproxima más hacia el bigote de precios = 0€ que el de precios = 200€"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":578,"status":"ok","timestamp":1732532597635,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"},"user_tz":-60},"id":"490d5Iqt1W2-","outputId":"bf9fc24d-fac3-4803-ff84-2f923a404753"},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Q-Q plot para la variable 'price'\n","sm.qqplot(data['price'], line='s')\n","plt.title(\"Q-Q Plot de la Variable 'Price'\")\n","plt.show()\n"]},{"cell_type":"markdown","metadata":{"id":"9UUdxRlz_BhA"},"source":["Para que el este gráfico, nos sirviera como indicar de que nuestra variable sigue una distribución normal, nuestros puntos deberían estar sobre la línea de la recta, o al menos acercarse. Como vemos, no lo sigue. Esto se debe a que tenemos muchos cursos gratuitos (se observan muchos puntos en 0) y también tenemos muchos cursos de 200€"]},{"cell_type":"markdown","metadata":{"id":"2K37W8vw62cb"},"source":["Tras llegar a la conclusión de que nuestra variable 'price' no sigue una distribución normal, vamos a realizar una función que nos indica entre diferentes distribuciones cual es la que más se asemeja para nuestra variable"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"N02Q_0Xu1W2-","outputId":"dc401112-6ec4-4f6f-8c4a-195c193784da"},"outputs":[{"name":"stderr","output_type":"stream","text":["c:\\Users\\eduab\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\scipy\\stats\\_continuous_distns.py:716: RuntimeWarning: invalid value encountered in sqrt\n","  sk = 2*(b-a)*np.sqrt(a + b + 1) / (a + b + 2) / np.sqrt(a*b)\n","c:\\Users\\eduab\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\scipy\\stats\\_continuous_distns.py:6554: RuntimeWarning: overflow encountered in divide\n","  return np.sum((1 + np.log(shifted/scale)/shape**2)/shifted)\n","c:\\Users\\eduab\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\numpy\\core\\fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce\n","  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n"]},{"name":"stdout","output_type":"stream","text":["Mejor distribución: beta\n","Parámetros: (0.6062736129649037, 0.9921910509055593, -1.740427898558937e-27, 202.5832648612008)\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# PARA VER QUÉ DISTRIBUCIÓN ES LA MÁS PARECIDA A LOS DATOS\n","\n","\n","# Definir la función best_fit_distribution\n","def best_fit_distribution(data, bins=200, plot=False):\n","    DISTRIBUTIONS = [st.norm, st.expon, st.gamma, st.weibull_min, st.weibull_max, st.beta, st.lognorm]\n","\n","    y, x = np.histogram(data, bins=bins, density=True)\n","    x = (x + np.roll(x, -1))[:-1] / 2.0\n","\n","    best_distribution = None\n","    best_params = None\n","    best_sse = np.inf\n","\n","    for distribution in DISTRIBUTIONS:\n","        try:\n","            params = distribution.fit(data)\n","            pdf = distribution.pdf(x, *params[:-2], loc=params[-2], scale=params[-1])\n","            sse = np.sum(np.power(y - pdf, 2.0))\n","\n","            if best_sse > sse > 0:\n","                best_distribution = distribution\n","                best_params = params\n","                best_sse = sse\n","        except Exception:\n","            pass\n","    if best_distribution:\n","        print(f\"Mejor distribución: {best_distribution.name}\")\n","        print(f\"Parámetros: {best_params}\")\n","\n","        if plot:\n","            plt.hist(data, bins=bins, density=True, alpha=0.5, color='b')\n","            pdf = best_distribution.pdf(x, *best_params[:-2], loc=best_params[-2], scale=best_params[-1])\n","            plt.plot(x, pdf, 'r--', label=f'{best_distribution.name}')\n","            plt.legend()\n","            plt.show()\n","\n","    return best_distribution, best_params\n","\n","# Llamada a la función con una columna específica\n","mejor_distribucion, parametros = best_fit_distribution(data[\"price\"], plot=True)"]},{"cell_type":"markdown","metadata":{"id":"gRFf6T5u7O__"},"source":["Nos aconseja que la distribución que mejor se asemeja es la beta"]},{"cell_type":"code","source":["data['num_subscribers'].describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"id":"y_ku0YZISAnz","executionInfo":{"status":"ok","timestamp":1732705279468,"user_tz":-60,"elapsed":184,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"126cd765-6473-464e-fe9a-5127b7a4ecb2"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["count      3677.000000\n","mean       3198.020125\n","std        9505.263339\n","min           0.000000\n","25%         111.000000\n","50%         912.000000\n","75%        2547.000000\n","max      268923.000000\n","Name: num_subscribers, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_subscribers</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>3677.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>3198.020125</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>9505.263339</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>111.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>912.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>2547.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>268923.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":50}]},{"cell_type":"markdown","source":["Observamos que la media es de 3198 suscriptores por curso mientras que la mediana es de 912.  Esta gran diferencia podría ser un indicador de que nuestra variable NO sigue una distribución normal, pero vamos a seguir estudiándola."],"metadata":{"id":"8kbfOBQsTGCV"}},{"cell_type":"code","source":["# Gráfico de densidad para la variable 'num_subscribers'\n","sns.kdeplot(data=data, x='num_subscribers', fill=True, color=\"blue\", alpha=0.6)\n","plt.title(\"Gráfico de Densidad de la Variable 'Num_subscribers'\")\n","plt.xlabel(\"Price\")\n","plt.ylabel(\"Densidad\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":481},"id":"d0v0hqqQSCRd","executionInfo":{"status":"ok","timestamp":1732705388017,"user_tz":-60,"elapsed":749,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"dc3e63af-5b0c-493a-edc9-d52348cfad84"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["En el densityplot no se aprecia muy bien.... vamos a seguir estudiándola."],"metadata":{"id":"18D-efhPTYgw"}},{"cell_type":"code","source":["# Visualizamos num_subscribers en boxplot\n","data.boxplot(column=\"num_subscribers\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":453},"id":"_pV8XIhVShnN","executionInfo":{"status":"ok","timestamp":1732705418795,"user_tz":-60,"elapsed":347,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"48a7bfb3-0fe5-41fb-8fe2-080ffc3fd0d7"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: >"]},"metadata":{},"execution_count":53},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["En el boxplot tampoco tenemos mucha claridad, pero podemos ver como hay muchos outliers por encima del máximo que hacen que la media sea mucho mayor que la mediana."],"metadata":{"id":"rBoo3YMXTdON"}},{"cell_type":"code","source":["# Q-Q plot para la variable 'num_subscribers'\n","sm.qqplot(data['num_subscribers'], line='s')\n","plt.title(\"Q-Q Plot de la Variable 'Num_subscribers'\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":480},"id":"p28426FKSrIQ","executionInfo":{"status":"ok","timestamp":1732705483872,"user_tz":-60,"elapsed":700,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"923ea5b7-2b6e-4fde-c399-3b0d160a7bdf"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Con el Q-Q Plot comprobamos que nuestra avriable 'num_subscribers' NO sigue una distribución normal."],"metadata":{"id":"PjeISTWLTs9a"}},{"cell_type":"code","source":["# PARA VER QUÉ DISTRIBUCIÓN ES LA MÁS PARECIDA A LOS DATOS\n","\n","\n","# Definir la función best_fit_distribution\n","def best_fit_distribution(data, bins=200, plot=False):\n","    DISTRIBUTIONS = [st.norm, st.expon, st.gamma, st.weibull_min, st.weibull_max, st.beta, st.lognorm]\n","\n","    y, x = np.histogram(data, bins=bins, density=True)\n","    x = (x + np.roll(x, -1))[:-1] / 2.0\n","\n","    best_distribution = None\n","    best_params = None\n","    best_sse = np.inf\n","\n","    for distribution in DISTRIBUTIONS:\n","        try:\n","            params = distribution.fit(data)\n","            pdf = distribution.pdf(x, *params[:-2], loc=params[-2], scale=params[-1])\n","            sse = np.sum(np.power(y - pdf, 2.0))\n","\n","            if best_sse > sse > 0:\n","                best_distribution = distribution\n","                best_params = params\n","                best_sse = sse\n","        except Exception:\n","            pass\n","    if best_distribution:\n","        print(f\"Mejor distribución: {best_distribution.name}\")\n","        print(f\"Parámetros: {best_params}\")\n","\n","        if plot:\n","            plt.hist(data, bins=bins, density=True, alpha=0.5, color='b')\n","            pdf = best_distribution.pdf(x, *best_params[:-2], loc=best_params[-2], scale=best_params[-1])\n","            plt.plot(x, pdf, 'r--', label=f'{best_distribution.name}')\n","            plt.legend()\n","            plt.show()\n","\n","    return best_distribution, best_params\n","\n","# Llamada a la función con una columna específica\n","mejor_distribucion, parametros = best_fit_distribution(data[\"num_subscribers\"], plot=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":654},"id":"vKcc7VU4S9Xc","executionInfo":{"status":"ok","timestamp":1732705527586,"user_tz":-60,"elapsed":1870,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"3ac6c12a-be2d-4d26-aae6-eaf8f09d4cc9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/scipy/stats/_continuous_distns.py:716: RuntimeWarning: invalid value encountered in sqrt\n","  sk = 2*(b-a)*np.sqrt(a + b + 1) / (a + b + 2) / np.sqrt(a*b)\n","/usr/local/lib/python3.10/dist-packages/scipy/stats/_continuous_distns.py:721: RuntimeWarning: The iteration is not making good progress, as measured by the \n","  improvement from the last five Jacobian evaluations.\n","  a, b = optimize.fsolve(func, (1.0, 1.0))\n","/usr/local/lib/python3.10/dist-packages/scipy/stats/_continuous_distns.py:6554: RuntimeWarning: overflow encountered in divide\n","  return np.sum((1 + np.log(shifted/scale)/shape**2)/shifted)\n","/usr/local/lib/python3.10/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce\n","  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n"]},{"output_type":"stream","name":"stdout","text":["Mejor distribución: beta\n","Parámetros: (0.6031533946517038, 570.2674178155567, -2.2254393523415765e-24, 1088742.1941995504)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAGhCAYAAACEdHvLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABF8klEQVR4nO3de3xU9YH///dMMpMLySSAMYKIkCARlGxAysXUgFIKQdZ2q13Y1ZWrpnwhfhfs79EqbUXBx2K2FkvY1XBRWdqVIva7tcjNlWqqINaixe1ii7lIEAjXZBJymcnM+f3BZGDIhYwOOQfm9Xw8fMSc+ZzPfM4nw8k7n3PO52MzDMMQAAAAZDe7AQAAAFZBMAIAAAggGAEAAAQQjAAAAAIIRgAAAAEEIwAAgACCEQAAQECs2Q24knz00UcyDEMOh8PspgAAgC7yer2y2WwaPnz4JcsyYhQGwzB0uebDNAxDHo/nstUfbejPyKI/I4e+jCz6M7Ku1v4M5/c3I0ZhaB0pGjZsWMTrbmho0IEDBzRo0CAlJiZGvP5oQ39GFv0ZOfRlZNGfkXW19ucnn3zS5bKMGAEAAAQQjAAAAAIIRgAAAAEEIwAAgACCEQAAQABPpQEA0E18Pp+8Xq/ZzehQc3Nz8KvdfuWMnTgcDsXExESkLoIRAACXmWEYOnbsmGpqasxuSqf8fr9iY2N15MiRKyoYSVJqaqquu+462Wy2r1QPwQgAgMusNRRde+21SkxM/Mq/vC8Xn8+n5uZmxcXFRWwE5nIzDEMNDQ06fvy4JKlPnz5fqT6CEQAAl5HP5wuGot69e5vdnE75fD5JUnx8/BUTjCQpISFBknT8+HFde+21X6ntV9Y4GQAAV5jWe4quppmkrai1f7/qPVwEIwAAuoFVL59dLSLVvwQjAACAAIIRAABAAMEIAAB0yQ9/+ENNnTr1K9dz4MABFRcXq7GxMQKtiiyCEQAA6FYHDhzQqlWrCEbo3JU2mRYAAFcbfhNbSHLqNTpT36L6Bo/ZTQEAoEPvvPOOpk6dqmHDhuk73/mOPv7445DXf/3rX+tv//ZvNWzYMN1xxx1asWJFcI6kX//613rsscckSWPHjlVWVpbuuusuSefmIXrsscc0YcIEZWdn65vf/KZ+9rOfyePpvt+LTPBoIZ4WQ2VlJ5WTdZ2SEp1mNwcAcJn5mpo6fM1mt8vudHaprGw2xcTFfamy4Tpx4oSefPJJFRYWyuVyac2aNZozZ4527typ3r1766WXXtK//uu/asaMGfrhD3+osrKyYDD6/ve/r/Hjx2vevHl6/vnntXbtWiUnJ8sZOM4zZ84oNTVVjz32mFwulyorK1VcXKwTJ07oX/7lX750m8NBMLIYj9dndhMAAN3k/Wn3d/haz9tGaOhPFge//+DB2fIHFnm9mOvWWzTs6aeC33/40Dy1uN3tlk0alKm/ebboS7ZYqqmp0XPPPaexY8dKkkaNGqVx48bp5ZdfVkFBgVauXKm5c+dq0aJFkqTc3Fw5HA4tX75cc+bMUa9evdS/f39J0i233KJevXoF687KytIPfvCD4PcjRoxQQkKCfvjDH+onP/lJcIbry4lgBAAAuiw5OTkYilq/v/322/WnP/1JH330kRoaGjR58mS1tLQEy9x+++1qamrSwYMHNWrUqA7rNgxD69ev16ZNm3T48GE1XxAEq6qqNHjw4MtzUBcgGAEAYJIxv/plh6/ZLnogZ9R/vNhxRRfN+jxyzfNdLhuuC0d4WvXu3VtlZWU6c+aMJOnv/u7v2t336NGjnda9fv16PfPMM5o7d65Gjx4tl8ulTz75RE899VRISLqcCEYAAJgkJj7e9LLhOn36dJttp06dUlpamlJSUiRJq1at0nXXXdemXL9+/Tqte/v27brrrrv06KOPBreVlZV9xRaHh2AEAAC6rK6uTnv27AleTqurq9Pu3bt1//33a/jw4UpISNCxY8c0ceLEDutwOByS1OZps6ampuBrrX77299G+Ag6RzACAABdlpqaqsWLF+uRRx5RcnKy1qxZI8MwNGPGDLlcLj3yyCP613/9Vx07dkyjRo1STEyMqqqq9NZbb6m4uFgJCQnKzMyUJP3yl7/UN77xDcXHxysrK0u33367/uM//kO/+MUvNGDAAL3++uv6/PPPu/X4CEYAAKDL0tLS9P3vf19FRUU6dOiQbrrpJq1bt07XXHONJGn27NlKT0/XSy+9pF/84heKjY1V//79NX78+OBo0NChQ1VYWKhXX31Va9euVZ8+fbRr1y7Nnz9fZ86c0cqVKyVJkyZN0o9+9CN973vf67bjIxgBAIAuWb58efD/x48f32G5u+++W3fffXendS1YsEALFiwI2dajR4925yv6y1/+El5DvwJmvgYAAAggGAEAAAQQjAAAAAIIRgAAAAEEIwAAuoFhGGY34aoWqf4lGAEAcBm1PqLe0NBgckuubq39e/EEkeHicX0AAC6jmJgYpaam6vjx45KkxMRE2b7iemWXi8/nC65JFhMTY3JrusYwDDU0NOj48eNKTU39yu0mGAEAcJm1rhvWGo6syu/3q6WlRbGxsbLbr6yLSqmpqe2uzxYughEAAJeZzWZTnz59dO2118rr9ZrdnA41NjaqvLxc/fv3V0JCgtnN6TKHwxGxES6CEQAA3SQmJsbSl6j8fr8kKS4uTvHx8Sa3xhxX1jgZAADAZUQwAgAACCAYAQAABBCMAAAAAghGAAAAAQQjAACAAIIRAABAAMEIAAAggGAEAAAQQDACAAAIIBgBAAAEEIwAAAACCEYAAAABYQejsrIyzZo1Szk5OcrNzVVRUZE8Hs8l9zMMQ6tXr9b48eOVnZ2tadOm6eOPP25Trrq6WoWFhRo+fLhGjRqlxYsXq76+vk25Xbt26Z577tGwYcM0adIkvfbaa52+/9NPP62srCw99dRTXT5WAAAQXcIKRrW1tZoxY4a8Xq+Ki4u1cOFCbdq0ScuXL7/kvmvWrNHKlSs1c+ZMlZSUKC0tTbNnz1ZVVVWwjNfr1dy5c1VZWalnn31WS5Ys0bvvvqtHH300pK4PP/xQCxYsUE5OjtasWaP8/HwtXrxY27dvb/e9//KXv+i1115TUlJSOIcLAACiTGw4hTdu3KizZ89q1apVSk1NlST5fD49+eSTKigoUHp6erv7NTc3q6SkRLNnz9bMmTMlSbfddpsmT56sdevWacmSJZKkHTt26ODBg9q6dasyMjIkSS6XS3PmzNH+/fuVnZ0tSXr++eeVnZ0dHP0ZM2aMqqqqtHLlSk2ePLnN+y9dulQzZ87Uf/3Xf4VzuAAAIMqENWJUWlqqsWPHBkORJOXn58vv9+u9997rcL99+/apvr5e+fn5wW1Op1MTJ05UaWlpSP1ZWVnBUCRJubm5Sk1N1TvvvCNJ8ng82rt3b5sANGXKFJWVlenw4cMh219//XUdPnxYDz30UDiHCgAAolBYI0bl5eW69957Q7a5XC6lpaWpvLy80/0khQQeScrMzNT69evV1NSk+Ph4lZeXtyljs9k0cODAYB2HDh2S1+ttt67W9+rXr58kqb6+XkVFRXr88ceVkJAQzqF2yDAMNTQ0RKSuCzU1NUmSWlpa1NLSclneI5o0NjaGfMVXQ39GDn0ZWfRnZF2t/WkYhmw2W5fKhhWM3G63XC5Xm+0pKSmqra3tdD+n06m4uLiQ7S6XS4ZhqLa2VvHx8XK73UpOTu60/tavF7ej9fsL27Fq1SrdeOONmjJlSheP8NK8Xq8OHDgQsfpaxcbGypHYU3X1daqtrdHJo2fU0tIS8feJNpWVlWY34apCf0YOfRlZ9GdkXY396XQ6u1QurGB0JTl48KB++ctfatOmTRGt1+FwaNCgQRGtUzo3YnTsVL2Sk5KVkpKqntdfE/H3iCaNjY2qrKzUgAEDIjZaGM3oz8ihLyOL/oysq7U/P/vssy6XDSsYuVwu1dXVtdleW1urlJSUTvfzeDxqbm4OGTVyu92y2WzBfV0uV7uP5tfW1qpPnz6SFCx7cTvcbnfI68uXL9fkyZN1/fXXB1/z+/3yer1yu91KSkqS3R7+NE42m02JiYlh79c19YqNjVVsbOxlfI/okpCQQF9GEP0ZOfRlZNGfkXW19WdXL6NJYd58nZGR0eZeorq6Op04caLNPT8X7ydJFRUVIdvLy8vVt29fxcfHd1i/YRiqqKgI1tG/f385HI425S6+j6miokKvv/66vva1rwX/O3r0qDZt2qSvfe1rbdoCAAAQ1ohRXl6eXnjhhZB7jbZv3y673a7c3NwO9xsxYoSSkpK0bds23XzzzZLO3auzc+dO5eXlhdT/+uuvB4fxJGnPnj2qqanRuHHjJJ27Rjh69Gjt2LFDM2bMCO67detWZWZmBm+8/tnPfqbm5uaQdixatEg5OTl68MEH1bdv33AOHQAARIGwgtH06dO1YcMGzZ8/XwUFBaqurlZRUZGmT58eMofRjBkzdOTIEb355puSpLi4OBUUFKi4uFi9evXS4MGD9corr6impkZz5swJ7jdp0iSVlJSosLBQixYtUmNjo4qKioKzZbeaN2+eHnzwQS1ZskT5+fnau3evtmzZohUrVgTL5OTktGl/XFyc0tPTNXr06HAOGwAARImwglFKSorWr1+vpUuXav78+erRo4fuu+8+LVy4MKSc3++Xz+cL2fbQQw/JMAy9+OKLOn36tIYMGaJ169bphhtuCJZxOBxau3atli1bpkWLFik2NlYTJ07U448/HlLXyJEjVVxcrOeee06bN29W3759tWzZspB5kgAAAMIV9lNpmZmZevnllzsts2HDhjbbbDabCgoKVFBQ0Om+6enpKi4uvmQ7JkyYoAkTJlyy3IV27doVVnkAABBdwn8sCwAA4CpFMAIAAAggGAEAAAQQjAAAAAIIRgAAAAEEIwAAgACCEQAAQADBCAAAIIBgBAAAEEAwAgAACCAYAQAABIS9VhouD19Tk848/gP19Bvyr3peUqLZTQIAIOoQjCzCZrNJHo9skuT3m90cAACiEpfSrMJ+/kdhGAQjAADMQDCyCNsFwYgRIwAAzEEwsooLR4wIRgAAmIJgZBE2m02y2c594zfMbQwAAFGKYGQlrcGIe4wAADAFT6VZSGxGphqbWqSYGLObAgBAVCIYWUjy9/6Pjh9tVqwrxeymAAAQlbiUBgAAEEAwAgAACCAYWUht0b8o9d+ekufYUbObAgBAVCIYWYhxtkH2pgYZLS1mNwUAgKhEMLISe+s8RjyuDwCAGQhGVhKY/dpggkcAAExBMLIQmy3w42DECAAAUxCMrISZrwEAMBXByEqCl9IIRgAAmIGZry0kpm9feRzxsjudZjcFAICoRDCykKQZs1R9tFlxN15vdlMAAIhKXEoDAAAIIBgBAAAEEIwspP6ldUpZvVwNB/7X7KYAABCVCEYW4ne7FVNXI6O52eymAAAQlQhGVhJYEoTH9QEAMAfByEqY+RoAAFMRjCzEFpjgUQZrpQEAYAaCkZXYuJQGAICZCEZWErjHiEtpAACYg2BkIfaevdTS+1rZE+LNbgoAAFGJJUEspMffT9exo83qcStLggAAYAZGjAAAAAIIRgAAAAEEIwtpeP2/lPLSz1T3/h6zmwIAQFQiGFmIv6ZGMaePy1dfb3ZTAACISgQjK7Ez8zUAAGYiGFnI+ZmvCUYAAJiBYGQlzHwNAICpCEZWElxElrXSAAAwA8HISgJLghhcSgMAwBQEIwuxJyXJ50qVPT7B7KYAABCVWBLEQhKmTNWR4ROVxZIgAACYghEjAACAAIIRAABAAMHIQpp+/45cv1ilmjd3mN0UAACiEsHIQvw1tYqtPqyWU6fMbgoAAFGJYGQlwcf1mccIAAAzEIwsxMZaaQAAmIpgZCU2ghEAAGYiGFkJM18DAGAqgpGVcCkNAABTEYwsxOaMkz+hh2xxcWY3BQCAqMSSIBYSnzdOX9w0RoNZEgQAAFMwYgQAABBAMAIAAAgIOxiVlZVp1qxZysnJUW5uroqKiuTxeC65n2EYWr16tcaPH6/s7GxNmzZNH3/8cZty1dXVKiws1PDhwzVq1CgtXrxY9fX1bcrt2rVL99xzj4YNG6ZJkybptddeC3m9rq5OhYWFuuuuu5Sdna0xY8Zo7ty52r9/f7iH3G08n+xX8q9KdOr/vXbpwgAAIOLCCka1tbWaMWOGvF6viouLtXDhQm3atEnLly+/5L5r1qzRypUrNXPmTJWUlCgtLU2zZ89WVVVVsIzX69XcuXNVWVmpZ599VkuWLNG7776rRx99NKSuDz/8UAsWLFBOTo7WrFmj/Px8LV68WNu3bw+W8Xg8cjqdmjdvnkpKSrR06VI1NTVpxowZqqioCOewu43f7ZbjcIU8R74wuykAAESlsG6+3rhxo86ePatVq1YpNTVVkuTz+fTkk0+qoKBA6enp7e7X3NyskpISzZ49WzNnzpQk3XbbbZo8ebLWrVunJUuWSJJ27NihgwcPauvWrcrIyJAkuVwuzZkzR/v371d2drYk6fnnn1d2draeeuopSdKYMWNUVVWllStXavLkyZKk3r1769lnnw1px+23367Ro0drx44d+t73vhfOoXcLm+3cPEbysyQIAABmCGvEqLS0VGPHjg2GIknKz8+X3+/Xe++91+F++/btU319vfLz84PbnE6nJk6cqNLS0pD6s7KygqFIknJzc5Wamqp33nlH0rmRoL179wYDUKspU6aorKxMhw8f7rAdiYmJiouLk9fr7fIxdyt7azBiHiMAAMwQ1ohReXm57r333pBtLpdLaWlpKi8v73Q/SSGBR5IyMzO1fv16NTU1KT4+XuXl5W3K2Gw2DRw4MFjHoUOH5PV6262r9b369esX3O73++X3+3X69GmtW7dOdrtd3/72t8M57BCGYaihoeFL79+Rpqam4JIgfp/vsrxHNGlsbAz5iq+G/owc+jKy6M/Iulr70zCM81dlLiGsYOR2u+VyudpsT0lJUW1tbaf7OZ1OxV00caHL5ZJhGKqtrVV8fLzcbreSk5M7rb/168XtaP3+4nb8/Oc/1wsvvCDp3OW11atX64YbbrjUoXbI6/XqwIEDX3r/jsTGxgZnvvZ6mnXw4EG1tLRE/H2iTWVlpdlNuKrQn5FDX0YW/RlZV2N/Op3OLpW76id4/Md//Ed94xvf0IkTJ/Tqq6/q4Ycf1ssvv6xbbrnlS9XncDg0aNCgCLfy3IjR5wc+kyTFxsTopptuivh7RJPGxkZVVlZqwIABSkhIMLs5Vzz6M3Loy8iiPyPrau3Pzz77rMtlwwpGLpdLdXV1bbbX1tYqJSWl0/08Ho+am5tDRo3cbrdsNltwX5fL1e6j+bW1terTp48kBcte3A632x3yeqv09PTgTeHjx4/Xfffdp5UrV6qkpOSSx9sem82mxMTEL7XvJeuOiZUR65Dd4bhs7xFtEhIS6MsIoj8jh76MLPozsq62/uzqZTQpzJuvMzIy2txLVFdXpxMnTrS55+fi/SS1eUy+vLxcffv2VXx8fIf1G4ahioqKYB39+/eXw+FoU66j+5guZLfbNWTIEH3++eedHaZpnDnDdeb/LlXff3700oUBAEDEhRWM8vLytHv37uDojCRt375ddrtdubm5He43YsQIJSUladu2bcFtXq9XO3fuVF5eXkj9n376aci1zT179qimpkbjxo2TdO4aYesj9xfaunWrMjMzQ268vlhLS4v279//le4xAgAAV6+wLqVNnz5dGzZs0Pz581VQUKDq6moVFRVp+vTpIXMYzZgxQ0eOHNGbb74pSYqLi1NBQYGKi4vVq1cvDR48WK+88opqamo0Z86c4H6TJk1SSUmJCgsLtWjRIjU2NqqoqCg4W3arefPm6cEHH9SSJUuUn5+vvXv3asuWLVqxYkWwzK9+9Svt379ft99+u9LS0nTy5Elt3LhRFRUVeuKJJ750hwEAgKtXWMEoJSVF69ev19KlSzV//nz16NFD9913nxYuXBhSzu/3y+fzhWx76KGHZBiGXnzxRZ0+fVpDhgzRunXrQkZvHA6H1q5dq2XLlmnRokWKjY3VxIkT9fjjj4fUNXLkSBUXF+u5557T5s2b1bdvXy1btixknqRBgwZp586devrpp+V2u5WWlqZhw4Zp8+bNuvnmm8M57G7T8vnnStqyTSc+GaD0+Q+b3RwAAKJO2E+lZWZm6uWXX+60zIYNG9pss9lsKigoUEFBQaf7pqenq7i4+JLtmDBhgiZMmNDh67fddpvWrVt3yXqsxH+2Xs6Kv6jJuPTacwAAIPLCXkQWl48tMMEjM18DAGAOgpGVBJYEMQyCEQAAZiAYWYmdESMAAMxEMLKSwKU0w2+Y3BAAAKITwchKApfSGDECAMAcBCMLsbVeSjMYMQIAwAxX/SKyV5KYGwfo9KJ/0ahhHc/eDQAALh9GjCzEZrNJYSx0BwAAIotgBAAAEEAwshD/mTNK+u0vVf3iGrObAgBAVOIeIwsxmprk/OsnajiabHZTAACISowYWYmdeYwAADATwchKmMcIAABTEYyspHXma9ZKAwDAFAQjK2GtNAAATEUwshBb4FKaQTACAMAUBCMrsbEkCAAAZuJxfQuxJSfr9CNPaeSt15vdFAAAohIjRhZis9slh1N2h9PspgAAEJUIRgAAAAEEIwsxvB712L5J1WtekL+lxezmAAAQdQhGVuI3FPfnfarb/Z4Mn8/s1gAAEHUIRlbSOvO1JMPHI/sAAHQ3gpGV2C74cTCXEQAA3Y5gZCX28z8OJnkEAKD7EYysxHbBpTSCEQAA3Y5gZCE2m01GazhiIVkAALodwchqbKyXBgCAWVgSxGJqCh7XiCF95UxNNbspAABEHUaMLMZITFJMcrJsMTFmNwUAgKhDMAIAAAggGFlMwjtbdXz9S/KcOWN2UwAAiDoEI4uJ+58P5X57l1rq6s1uCgAAUYdgZDU8lQYAgGkIRlYTmP2aYAQAQPcjGFlN6wSPBCMAALodwchijMBCsoZhmNwSAACiD8HIaloXkmXECACAbkcwshpuvgYAwDQsCWIx7r9/WDmDr1XSgD5mNwUAgKjDiJHFGMkpcvS+RnaHw+ymAAAQdQhGAAAAAQQji4nb965ObvxPNRw+bHZTAACIOgQji4n780eq2bFNTceqzW4KAABRh2BkNXYmeAQAwCwEI6uxsSQIAABmIRhZjME8RgAAmIZgZDWta6WxJAgAAN2OYGQ1gSVBDB8jRgAAdDeCkdVwjxEAAKZhSRCLOfvN7yh7YC/1GtjX7KYAABB1CEYW40/pJWff6xXbI9HspgAAEHW4lAYAABBAMLIY56d/0qn/95rqDn5mdlMAAIg6XEqzGOdf9+vMwT+rZ980Jd80yOzmAAAQVRgxshgj8FQaS4IAAND9CEZWw+P6AACYhmBkNcElQZj5GgCA7kYwshp7YEkQRowAAOh2BCOr4VIaAACmIRhZjBG8lEYwAgCgu/G4vsU0jblLg77zt0rPuN7spgAAEHUIRhbjT+ml+IHXy9mTJUEAAOhuXEoDAAAIIBhZTOyhMp15Y4tqP/kfs5sCAEDUCTsYlZWVadasWcrJyVFubq6Kiork8XguuZ9hGFq9erXGjx+v7OxsTZs2TR9//HGbctXV1SosLNTw4cM1atQoLV68WPX19W3K7dq1S/fcc4+GDRumSZMm6bXXXgt5vby8XE899ZSmTJmiv/mbv9Fdd92lJ554QqdPnw73kLuVo/yATm3+lc7s+8jspgAAEHXCCka1tbWaMWOGvF6viouLtXDhQm3atEnLly+/5L5r1qzRypUrNXPmTJWUlCgtLU2zZ89WVVVVsIzX69XcuXNVWVmpZ599VkuWLNG7776rRx99NKSuDz/8UAsWLFBOTo7WrFmj/Px8LV68WNu3bw+W2b17tz788ENNmzZNq1evVmFhoUpLS3X//fd3KciZhsf1AQAwTVg3X2/cuFFnz57VqlWrlJqaKkny+Xx68sknVVBQoPT09Hb3a25uVklJiWbPnq2ZM2dKkm677TZNnjxZ69at05IlSyRJO3bs0MGDB7V161ZlZGRIklwul+bMmaP9+/crOztbkvT8888rOztbTz31lCRpzJgxqqqq0sqVKzV58mRJ0t133637779ftsDj75J044036h/+4R/0u9/9TpMmTQrn0LuPjQkeAQAwS1gjRqWlpRo7dmwwFElSfn6+/H6/3nvvvQ7327dvn+rr65Wfnx/c5nQ6NXHiRJWWlobUn5WVFQxFkpSbm6vU1FS98847kiSPx6O9e/cGA1CrKVOmqKysTIcPH5Yk9ezZMyQUSdLQoUMlScePHw/nsLuXnREjAADMEtaIUXl5ue69996QbS6XS2lpaSovL+90P0khgUeSMjMztX79ejU1NSk+Pl7l5eVtythsNg0cODBYx6FDh+T1etutq/W9+vXr1247/vjHP4aU/TIMw1BDQ8OX3r8jTU1NkiS/cW6NNK/Hc1neJ1o0NjaGfMVXQ39GDn0ZWfRnZF2t/WkYRpvBko6EFYzcbrdcLleb7SkpKaqtre10P6fTqbi4uJDtLpdLhmGotrZW8fHxcrvdSk5O7rT+1q8Xt6P1+47a0dzcrGeeeUZDhw7V2LFjOznKznm9Xh04cOBL79+R2NhYORJ7qtnrVQ9JNWfOqP4yvE+0qaysNLsJVxX6M3Loy8iiPyPrauxPp9PZpXJRM8HjE088ocOHD2vjxo1dTo3tcTgcGjRoUARbdk5TU5OOnaqXMz5ekpSSnKz+Q4ZE/H2iRWNjoyorKzVgwAAlJCSY3ZwrHv0ZOfRlZNGfkXW19udnn33W5bJhBSOXy6W6uro222tra5WSktLpfh6PR83NzSGjRm63WzabLbivy+Vq99H82tpa9enTR5KCZS9uh9vtDnn9QitWrNBvf/tbvfDCCxo8ePClDrNTNptNiYmXa1bqerXcOlLX541W+oA+Srhs7xM9EhISLuPPK/rQn5FDX0YW/RlZV1t/hjMgEtbN1xkZGW3uJaqrq9OJEyfa3PNz8X6SVFFREbK9vLxcffv2VXxglKS9+g3DUEVFRbCO/v37y+FwtCnX0X1MGzZsUElJiZ5++mndcccdXT1U0/hdPZVw8xAl9O1rdlMAAIg6YQWjvLw87d69Ozg6I0nbt2+X3W5Xbm5uh/uNGDFCSUlJ2rZtW3Cb1+vVzp07lZeXF1L/p59+GnJtc8+ePaqpqdG4ceMknbtGOHr0aO3YsSPkPbZu3arMzMyQG6+3bNmip59+WosWLdK3v/3tcA4VAABEobAupU2fPl0bNmzQ/PnzVVBQoOrqahUVFWn69OkhcxjNmDFDR44c0ZtvvilJiouLU0FBgYqLi9WrVy8NHjxYr7zyimpqajRnzpzgfpMmTVJJSYkKCwu1aNEiNTY2qqioKDhbdqt58+bpwQcf1JIlS5Sfn6+9e/dqy5YtWrFiRbDMBx98oB/+8IcaM2aMRo0aFTLL9nXXXafrrrsu7M7qDjEnjqrmv/8s56Ab1XPEcLObAwBAVAkrGKWkpGj9+vVaunSp5s+frx49eui+++7TwoULQ8r5/X75fL6QbQ899JAMw9CLL76o06dPa8iQIVq3bp1uuOGGYBmHw6G1a9dq2bJlWrRokWJjYzVx4kQ9/vjjIXWNHDlSxcXFeu6557R582b17dtXy5YtC5knae/evfJ6vdqzZ4/27NkTsv+CBQtUWFgYzqF3m9iqcp383W9l5N5OMAIAoJuF/VRaZmamXn755U7LbNiwoc02m82mgoICFRQUdLpvenq6iouLL9mOCRMmaMKECR2+XlhYaNnw06nABI8KzGcEAAC6T9iLyOIyC9w5z8zXAAB0P4KR1QQWkWWtNAAAuh/ByGIMRowAADANwchqWEQWAADTEIyshktpAACYJmrWSrtSeG/IUJ+F31fa9WlmNwUAgKhDMLIYIzlFPW69Xsm9rp41agAAuFJwKQ0AACCAYGQxdneN3L8v1ekP/mB2UwAAiDpcSrOYmONHdPw3/6GGwTep16ivmd0cAACiCiNGVmPnqTQAAMxCMLIaJngEAMA0BCOLMWxM8AgAgFkIRlZjPzdixKU0AAC6H8HIahgxAgDANAQjqyEYAQBgGh7XtxhfrzRd938WqFdaqtlNAQAg6hCMLMZI7KGkWwerJ0uCAADQ7biUBgAAEEAwshhbU6Pq9r6vU+/vNbspAABEHS6lWYzdfUbVG/5Np1NT1XvMaLObAwBAVGHEyGrsPJUGAIBZCEYW0zrzNRM8AgDQ/QhGVtO6VppBMAIAoLsRjKym9VKaj2AEAEB3IxhZjY210gAAMAvByGpYEgQAANPwuL7F+BMSde2ch5XiSjC7KQAARB2CkdU4nHJ9/Q5dy5IgAAB0Oy6lAQAABBCMrMbn09mPP9KpvX/gPiMAALoZl9Isxtbi1dFVP9NRSWM3b5TNTnYFAKC78FvXYozWx/XFk2kAAHQ3gpHV2M7/SJjkEQCA7kUwshr7+REjJnkEAKB7EYys5sIRI4IRAADdimBkNdxjBACAaQhGVmOznQ9HBsEIAIDuxOP6FpT2wINK7hGnmASWBQEAoDsRjCwo5a5vKJ0lQQAA6HZcSgMAAAggGFlQ41//opqP/yRfc7PZTQEAIKoQjCzo6M9/pj8/8ZSaT5w0uykAAEQVgpEVta6PxuP6AAB0K4KRBbUuHMs8RgAAdC+CkRURjAAAMAXByIJsNi6lAQBgBoKRFQUWkjUMw+SGAAAQXQhGVsTN1wAAmIKZry2o5933qIe9Rc5rrjG7KQAARBWCkQWljBvPkiAAAJiAS2kAAAABBCMLaj5cJfenf1FL/VmzmwIAQFQhGFlQ9ZoSffKDx1X317+a3RQAAKIKwciCmPkaAABzEIwsyOZ0SpL8zR6TWwIAQHQhGFmQPRiMmk1uCQAA0YVgZDGxMXbZnHGSpIY6br4GAKA7EYwsJibGJr/DIUlqOttocmsAAIguBCMLar3HyPBwjxEAAN2Jma8tKCF7uE4rQQk3DzG7KQAARBWCkQXFD/sbeZL6KWFwutlNAQAgqnApDQAAIIBgZEH+s2dlP35Enupqs5sCAEBUIRhZUOO+PyjppZ/p1K/+0+ymAAAQVcIORmVlZZo1a5ZycnKUm5uroqIiebrw9JRhGFq9erXGjx+v7OxsTZs2TR9//HGbctXV1SosLNTw4cM1atQoLV68WPX19W3K7dq1S/fcc4+GDRumSZMm6bXXXmtT5t/+7d80a9YsjRw5UllZWfrkk0/CPVxTBGe+5qk0AAC6VVjBqLa2VjNmzJDX61VxcbEWLlyoTZs2afny5Zfcd82aNVq5cqVmzpypkpISpaWlafbs2aqqqgqW8Xq9mjt3riorK/Xss89qyZIlevfdd/Xoo4+G1PXhhx9qwYIFysnJ0Zo1a5Sfn6/Fixdr+/btIeV+9atfyev16vbbbw/nME0XfFyfma8BAOhWYT2VtnHjRp09e1arVq1SamqqJMnn8+nJJ59UQUGB0tPbf4qqublZJSUlmj17tmbOnClJuu222zR58mStW7dOS5YskSTt2LFDBw8e1NatW5WRkSFJcrlcmjNnjvbv36/s7GxJ0vPPP6/s7Gw99dRTkqQxY8aoqqpKK1eu1OTJk4Pv+/bbb8tut2vv3r3asWNHOIdqqtaZrxkxAgCge4U1YlRaWqqxY8cGQ5Ek5efny+/367333utwv3379qm+vl75+fnBbU6nUxMnTlRpaWlI/VlZWcFQJEm5ublKTU3VO++8I0nyeDzau3dvSACSpClTpqisrEyHDx8+f3D2K/MWqtZgZHgYMQIAoDuFNWJUXl6ue++9N2Sby+VSWlqaysvLO91PUkjgkaTMzEytX79eTU1Nio+PV3l5eZsyNptNAwcODNZx6NAheb3edutqfa9+/fqFc1hhMQxDDQ0NEa+3qalJktTS4pMc534s/ubmy/Je0aCxsTHkK74a+jNy6MvIoj8j62rtT8MwZLPZulQ2rGDkdrvlcrnabE9JSVFtbW2n+zmdTsXFxYVsd7lcMgxDtbW1io+Pl9vtVnJycqf1t369uB2t33fWjkjwer06cOBAxOuNjY2VI7Gnzp6tV0vKuZEuf1OzDh48qJaWloi/X7SorKw0uwlXFfozcujLyKI/I+tq7E9n4P7dS2Hm6zA5HA4NGjQo4vU2NTXp2Kl69eiRpPjeCWr82jj1uf4aDbzppoi/VzRobGxUZWWlBgwYoISEBLObc8WjPyOHvows+jOyrtb+/Oyzz7pcNqxg5HK5VFdX12Z7bW2tUlJSOt3P4/Goubk5ZNTI7XbLZrMF93W5XO0+ml9bW6s+ffpIUrDsxe1wu90hr18uNptNiYmJl6n2esXGxigmySXvXX+ra25Ov4zvFR0SEhLowwiiPyOHvows+jOyrrb+7OplNCnMm68zMjLa3EtUV1enEydOtLnn5+L9JKmioiJke3l5ufr27av4+PgO6zcMQxUVFcE6+vfvL4fD0aZcR/cxAQAAdFVYwSgvL0+7d+8Ojs5I0vbt22W325Wbm9vhfiNGjFBSUpK2bdsW3Ob1erVz507l5eWF1P/pp5+GXNvcs2ePampqNG7cOEnnrhGOHj26zeP3W7duVWZm5mW98bo72WpOqfmLw/J7vWY3BQCAqBHWpbTp06drw4YNmj9/vgoKClRdXa2ioiJNnz49ZA6jGTNm6MiRI3rzzTclSXFxcSooKFBxcbF69eqlwYMH65VXXlFNTY3mzJkT3G/SpEkqKSlRYWGhFi1apMbGRhUVFQVny241b948Pfjgg1qyZIny8/O1d+9ebdmyRStWrAhp7wcffKDTp08Hry2+//77+uKLL3T99ddr2LBh4fdWN0p68aeq8np17ep/V3wH80MBAIDICisYpaSkaP369Vq6dKnmz5+vHj166L777tPChQtDyvn9fvl8vpBtDz30kAzD0IsvvqjTp09ryJAhWrdunW644YZgGYfDobVr12rZsmVatGiRYmNjNXHiRD3++OMhdY0cOVLFxcV67rnntHnzZvXt21fLli0LmSdJkoqLi/XBBx8Ev//pT38qSfq7v/u7Ls3WbSYj1imb1ys/s18DANBtwn4qLTMzUy+//HKnZTZs2NBmm81mU0FBgQoKCjrdNz09XcXFxZdsx4QJEzRhwoSw23HFcDikRsnXzOzXAAB0lytzaugoYMQGFpJlxAgAgG5DMLKqwERUvsCM2AAA4PIjGFmUEeuQJPm5lAYAQLchGFmVg0tpAAB0N5YEsSjv4GG6ZnCGEvpdb3ZTAACIGgQji/LmjNE1N6crudfVMyU7AABWx6U0AACAAIKRVXma5T15Ut7aWrNbAgBA1CAYWVTc+7v0+f+3UFWbNpvdFAAAogbByKIMR+s8RjyVBgBAdyEYWVXr4/oeghEAAN2FYGRR5yd4JBgBANBdCEYWZQQneGTmawAAugvByKocrJUGAEB3IxhZlOFgrTQAALobM19blOHqKde4O9Wzf1+zmwIAQNQgGFmUv/e1ujZ3ttJZEgQAgG7DpTQAAIAAgpFVGX756uvVfPKU2S0BACBqEIwsytbUqIrCefpwzsMyfD6zmwMAQFQgGFmUEesM/r+PJ9MAAOgWBCOrio2VbDZJkr+ZuYwAAOgOBCOrstlkc7bOfs2yIAAAdAeCkYXZA8GIS2kAAHQPgpGF2ZxxkhgxAgCguxCMLMwWx3ppAAB0J2a+trCkESPlGHpWztQUs5sCAEBUIBhZWO97v8uSIAAAdCMupQEAAAQQjCzM8PnUcvasfNx8DQBAtyAYWdjxF9do7z8+qGNbt5vdFAAAogLByMJaH9dnxAgAgO5BMLIwZr4GAKB7EYwsLCY5WZLkrakxtyEAAEQJgpGFOXr1kiQ1nzptcksAAIgOBCOLio2xKSYlVZLUcOKk6htYLw0AgMuNYGRRMXa7Wnq4JEmek6d1tqnF5BYBAHD1Y+ZrC4vp2VNNmUPlT0qR4feb3RwAAK56BCMLs8cnqPZvH5Qk2ewM7gEAcLnx2xYAACCAYGR1hiFb41n5GhrMbgkAAFc9gpHFud7crGtLlsr99i6zmwIAwFWPYGRx/sQkSVILkzwCAHDZEYwszhd4ZL/lDJM8AgBwuRGMLM6fdC4Y+c6cMbklAABc/QhGFudPSpEktdQQjAAAuNwIRhYXvJRWU6NjJ+tZGgQAgMuIYGRx/h7J5/7H59Of/+dzlgYBAOAyYuZrq4uJkefW29TzmlTVeX1mtwYAgKsawegK0DhlugZmXKOjFafMbgoAAFc1LqUBAAAEEIyuBIYhX32dbGfrzG4JAABXNYLRFSBuz1s69v1HFFe63eymAABwVSMYXQFaJ3m01dea3BIAAK5uBKMrgN+VKkmKOXXc3IYAAHCVIxhdAXx9+ks2m+y1p+U9xZNpAABcLgSjK0FcvBz9b5QkNf31U5MbAwDA1YtgdIWIG3yzJKnx009VfbqBpUEAALgMCEZXCOdNWZKks58e0P+UnVRDM0uDAAAQacx8fYWIGzRYvuFj1XPE36jO55NhSNWnG9QjPlZJiU6zmwcAwFWBEaMrhD0xUS13/70SvzZaMTExamxu0f+UnWRRWQAAIohgdAXzeH2y2cxuBQAAVw+C0ZXE71Nz+Wey//E9SVJsjC14SY0bsgEA+Oq4x+hK0tyskyv+RQ6/X823DFZMfJoam1v0v+Xn5jYaOTSd+40AAPgKGDG6kiQkKnHs1yVJtZs3SoZfktTkaVGLzx8cPWLkCACAL4dgdIVx3fMdGc44eSvLZf/zR8HtsTE2NTa36EDlKZ1taiEgAQDwJYQdjMrKyjRr1izl5OQoNzdXRUVF8ngu/QvYMAytXr1a48ePV3Z2tqZNm6aPP/64Tbnq6moVFhZq+PDhGjVqlBYvXqz6+vo25Xbt2qV77rlHw4YN06RJk/Taa6+1KePxePTMM88oNzdXOTk5mjVrlsrLy8M9ZEuJSUmR7/YJkqTYXVvkb2wMed3vMwhIAAB8SWEFo9raWs2YMUNer1fFxcVauHChNm3apOXLl19y3zVr1mjlypWaOXOmSkpKlJaWptmzZ6uqqipYxuv1au7cuaqsrNSzzz6rJUuW6N1339Wjjz4aUteHH36oBQsWKCcnR2vWrFF+fr4WL16s7du3h5RbtmyZXn31VS1cuFDFxcXyeDyaOXOm6urqwjlsy/GNHqeYXr1lc9foxDPLFHPmRJsyrQGJySABAOi6sG6+3rhxo86ePatVq1YpNTVVkuTz+fTkk0+qoKBA6enp7e7X3NyskpISzZ49WzNnzpQk3XbbbZo8ebLWrVunJUuWSJJ27NihgwcPauvWrcrIyJAkuVwuzZkzR/v371d2drYk6fnnn1d2draeeuopSdKYMWNUVVWllStXavLkyZKkY8eOafPmzXriiSd03333SZKGDRumO++8Uxs3btRDDz0UzqFbi8OpXgXzdXzVz9Vy7Iich8pkpF/XblG///y9RzabFGu3qcVvhHz1+gwmigQAQGEGo9LSUo0dOzYYiiQpPz9fTzzxhN577z195zvfaXe/ffv2qb6+Xvn5+cFtTqdTEydO1JtvvhlSf1ZWVjAUSVJubq5SU1P1zjvvKDs7Wx6PR3v37tX3v//9kPeYMmWKtmzZosOHD6tfv35699135ff7g0FJklJTU5Wbm6vS0tIrOxhJct44UJ45i5T2+f+ouv8IxQe2x77+nzpl9ykmziX3talyNksnD/fWF+4WOXr00MA7vqaqarduSHep6g8fKy3JoaMnGzSwX6p8KfGSzk2MZHc6Zbu+v842tahHfKx09LB8TU3B929sblGTx6d4Z4x69IhXctbg4GtnKyrV0tDQbrttdrtcQ24+X7byc7WcPdvhcabcMjT4/w2HquTtZLTPNeRm2eznBkGbjhyV7fAXqrfZ5Y2La1M2OWuw7LHnPv6NR47Ic6amw3qTB98ku8Nxrt5jx9R86nSHZZMGZSom8H5N1cfVfPJkx2UzBiomIUGS1HzipJqOH++wbI8BNyq2R49zZU+dUtOx6o7L3thfsUlJkiTPmTNqPHK0w7KJN/STw+WSJHlra9X4xZF2yzU1Ncm44Ofkddep8fDhDuuNv+46OXv1lCS11J9Vw6FDHZaNS79Wcb17nyvb0KCGys87Lpt2jeLS0iRJvqYmnS2v6LCss3dvxadfe65sc7POlnV8Gd3Rs6cS+pz748Lv9ar+4Gcdl01NUULfvpIkw+dT3V/+2mHZWFeyEvv1O1fWMFR34FM1NTXJf6hK9Ta7WuLjz5dNSlJi/xuC37sPfCoZRrv1xiQmqseAG4Pf1/3lrzJ8vvbLJiSox8AB58v+9aCMlvZHke1xcUrKPH/+rf+sTP4ObpWwORxKvmnQ+bLl5fI3NbdfNiYm9BxRWSlfQ2O7ZWW3y3Vz1vmynx+Sr5NzROwF/dBQdVgtnZwjkm/OCp4jGg5/oRa3u8OySYNvOn+OOHpU3k7OEUk3DQo5R3hOn+mwbI/MjPPniOPH5Tl5quOyAweEnCOaT7S9OtAq8cb+F5wjTqu5uuNzRGL/G0LOEU1HjwVfu/jzmdDv+i6dIyQpvm9fOVNTzpX9EueIWJdLif2u73Cf7hJWMCovL9e9994bss3lciktLa3Te3daX7sw8EhSZmam1q9fr6amJsXHx6u8vLxNGZvNpoEDBwbrOHTokLxeb7t1tb5Xv379VF5ert69eyslJaVNuc2bN4dx1Od5vV4ZhqH9+/d/qf07YxiGfD6/UmOlM9V1Srb5dab6jK5P8slms4VsC35N9qslZ4iu99YHyySMHyW/4VeipGZJiZIaJPVMcUoxMTpTXaH4Fr/OVJ9SfJJPdX6PknpJJxrO6MQFWcYWE6OYs2fV4vPLERujljOnOzyZ2mrscjQ1yTAM2Ww2eWvOyPB62y9rs8nh8cgInPB97toOT7ySFOc7/57e2lr5m9s/8UqSw+uVzWaTzSZ5a93y90jU56fbP+k4vZ7gCbKlrk6+xg5O0pKcnmbZYmLOla2vl6+D0CdJzuZm2WIDZc+e7fSE7mhqkt1x7p+g72yDWs62vZfufNnG4InX19ColvqOT/6OxgbZnedG/3yNjZ3+onA0nJU9cJL2NzXJ28kvCluPHjp48KBsNpv8zc3y1tZ2WDa2zh08ofs9Hnlrajou665VzBdfnCvr9cp7puNfKrG1NYo5ei7oGS0t8pzuOKTG1JxRbPW5E77h88lzquNfQDFnTiv2xLlgavj98nQSaGNOn1Zs6+uG0ekvq5hT8Yq9oI3NreE3OanNZ9PujJOj5vyxe46fkKH2g5Hd6ZTDfb7/PSdOygg8pdqmrMMhR935n6vn5CkZ/vZDlD02Vo4LPoeeU6dl+Dr4dx8TI2fj+X8L3tOn5e/oHGG3y9l8/g8r75kz8ndyjnB6zv8799bUdHqOcHrPvXbw4EG1uN2dniPivB61zorb4naH/LHXpl5Pc9fPEc1NXT9HNDV1+RzhbGqULbaL54jGhq6fIxrOdn6OuODz6Thb3+VzhKO+TvZA2P8y54iYU6cU28E5+6vyBn4/dEVYwcjtdssVSI4XSklJUW0nHeB2u+V0OhV30V/uLpdLhmGotrZW8fHxcrvdSk5O7rT+1q8Xt6P1+9bXO6rL5XJ12tbOtHZqVzs33Lrtdrscge9jY+whX9vb1m6Za9Mu+V7B/dKu6XLZmMBf9J071y9xvXp1uWxMz55dKHuO84KRykuXTZGUcslykuRwuYJ/EV2ybHKyHO18rtotm5QkR+CvskuJTeqh2KQeXSvbI1GxPRK7VjYxUbGJXSsbk5AQPFFdsmx8vGIuGO3otGxcnGI6uMzepqzT2eWyNodD8V0tGxvb9bIxMV0uK5ut62WlsMrGBUa7ulS2C//ug2W78O8+WPaarvy7P8fZpXNEoGyXzhGBsl04RzgDv+TDOUc4UlLkSOEccaWdI76sc380X4ZgFO2GDx9udhMAAMBlFNZTaS6Xq90numpra9tcsrp4P4/Ho+aLhjjdbrdsNltwX5fL1e6j+RfW3/r14na4A8N7l6rL7XZ32lYAABC9wgpGGRkZbe4lqqur04kTJ9rc83PxfpJUURF6o2R5ebn69u2r+MBwW3v1G4ahioqKYB39+/eXw+FoU+7i+5gyMjJ08uTJNpfN2ruPCQAAQAozGOXl5Wn37t3B0RlJ2r59u+x2u3Jzczvcb8SIEUpKStK2bduC27xer3bu3Km8vLyQ+j/99FNVVlYGt+3Zs0c1NTUaN26cpHPXkkePHq0dO3aEvMfWrVuVmZmpfoEnQL7+9a/Lbrdr586dwTK1tbV69913Q94TAACgVVj3GE2fPl0bNmzQ/PnzVVBQoOrqahUVFWn69OkhcxjNmDFDR44cCT6KHxcXp4KCAhUXF6tXr14aPHiwXnnlFdXU1GjOnDnB/SZNmqSSkhIVFhZq0aJFamxsVFFRUXC27Fbz5s3Tgw8+qCVLlig/P1979+7Vli1btGLFimCZ6667Tvfdd5+Kiopkt9uVnp6ukpISJScna/r06V+6wwAAwNXLZhgdTJTRgbKyMi1dulQfffSRevTooW9961tauHBh8KkASfqnf/onffHFF9q1a1dwW+uSIP/5n/+p06dPa8iQIXrsscfa3NBcXV2tZcuW6d1331VsbKwmTpyoxx9/XEkX3bn/1ltv6bnnnlNFRYX69u2rhx9+ODiRYyuPx6MVK1boN7/5jc6ePasRI0boRz/6UfDRfgAAgAuFHYwAAACuVmEvIgsAAHC1IhgBAAAEEIwAAAACCEYAAAABBCMAAIAAghEAAEAAwchkZWVlmjVrlnJycpSbm6uioiJ5PB6zm9Vtfv3rXysrK6vNfz/96U9Dyr366quaNGmShg0bpnvuuUe/+93v2tRVV1enxx9/XKNGjdLw4cP1yCOP6Pjx423K7du3T9OmTVN2drbuvPNOrV69WhfPWtE671br5KLTpk3Txx9/HNFj/6o+//xz/eQnP9G3vvUtDR06VFOnTm23nFX7rrq6WoWFhRo+fLhGjRqlxYsXt7u+YXfpSn/+0z/9U7uf17KyspBy0d6f27Zt07x585SXl6ecnBx961vf0ubNm9scG5/NrulKf/LZjCADpqmpqTFyc3ON+++/3ygtLTVeffVV47bbbjOefPJJs5vWbV577TVj8ODBRmlpqfHRRx8F/zty5EiwzJYtW4ysrCxjxYoVxp49e4wf//jHxtChQ42PPvoopK7Zs2cbeXl5xhtvvGH893//tzF16lTjnnvuMbxeb7BMZWWlkZOTY8yfP9/YvXu38dJLLxm33HKLsXbt2pC6SkpKjFtuucV46aWXjN27dxvz5883hg8fbhw6dOiy9kc43nzzTSMvL88oLCw0pk6datx9991tyli17zwejzF16lRj6tSpxltvvWW88cYbRl5envHwww9HtpPC0JX+fOCBB4zp06eHfFY/+ugjo6mpKaRctPfn3//93xsLFy403njjDWP37t3GT3/6U+Pmm282iouLg2X4bHZdV/qTz2bkEIxM9MILLxg5OTnGmTNngts2btxoDBkyxDh27Jh5DetGrcHo1KlTHZb55je/aSxatChk27Rp04y5c+cGv9+3b58xePBg4/e//31wW1lZmZGVlWW88cYbwW0//vGPjTvvvNNobm4Obnv22WeNkSNHBrc1NTUZI0aMMJ599tlgmebmZuPOO+80nnjiiS99rJHm8/mC//+DH/yg3V/kVu273/72t0ZWVpZRVlYW3Pb73//eGDx4sPGnP/0pnG6ImK705wMPPHDJEzr9abT77/lHP/qRMWLEiGA/89nsuq70J5/NyOFSmolKS0s1duxYpaamBrfl5+fL7/frvffeM69hFlJVVaXKykrl5+eHbJ8yZYr27NkTvOxYWloql8sVsphxRkaGhgwZotLS0uC20tJSTZgwIWQJmylTpsjtduujjz6SdG4Iub6+PuQ9nU6nJk6cGFKX2ez2zv/5WrnvSktLlZWVpYyMjOC23Nxcpaam6p133gmnGyLmUv3ZVfSn1KtXrzbbhgwZovr6ejU0NPDZDNOl+rOr6M+uIRiZqLy8POTDIkkul0tpaWkqLy83qVXmmDp1qoYMGaIJEyaopKREPp9PkoL9MHDgwJDymZmZ8nq9qqqqCpYbOHCgbDZbSLmMjIxgHQ0NDTp69GibPs/IyJDNZguWa/16cbnMzEwdOXJETU1NkTjky87KfdfeZ99ms2ngwIGW/+x/8MEHysnJ0bBhw/TAAw/oD3/4Q8jr9Gf7/vjHPyo9PV1JSUl8NiPgwv5sxWczMghGJnK73XK5XG22p6SkqLa21oQWdb+0tDQVFhbqmWee0Zo1azRu3Dg999xzevrppyUp2A8X91Pr962vu91uJScnt6n/wr6sq6trty6n06mEhISQupxOp+Li4tq8p2EYV8zPxsp915X3tKKvfe1rWrx4sdauXatnnnlGjY2NmjVrVvCvaIn+bM+HH36orVu3avbs2ZL4bH5VF/enxGczkmLNbgCi2x133KE77rgj+P3Xv/51xcXFaf369fre975nYsuAth555JGQ78ePH6+pU6fq3//937VmzRqTWmVtx44d08KFCzV69Gg9+OCDZjfnitdRf/LZjBxGjEzkcrmC6fxCtbW1SklJMaFF1pCfny+fz6cDBw4E++HifnK73ZIUfN3lcrX7+OeFfdn6V8vFdXk8HjU2NobU5fF41Nzc3OY9bTbbFfOzsXLfdeU9rwSJiYkaN26c/vznPwe30Z/nud1uPfTQQ0pNTVVxcXHwPi4+m19OR/3ZHj6bXx7ByEQXXtdtVVdXpxMnTrS5JhutWvvh4n4qLy+Xw+HQDTfcECxXUVHRZp6NioqKYB2JiYnq06dPm7pa92st1/q1oqKizXv27dtX8fHxETq6y8vKfdfeZ98wjJD3vFLRn+c0NTWpoKBAdXV1Wrt2bcjlFD6b4eusP7uK/uwagpGJ8vLytHv37uBfSZK0fft22e32kKcGos3WrVsVExOjoUOH6oYbbtCAAQO0ffv2NmXGjh0bfGoiLy9PtbW12rNnT7BMRUWF/vd//1d5eXnBbXl5eXrrrbfk9XpD6nK5XBo+fLgkacSIEUpKStK2bduCZbxer3bu3BlSl9VZue/y8vL06aefqrKyMrhtz549qqmp0bhx4yLTAd2goaFBb7/9toYNGxbcRn9KLS0t+ud//meVl5dr7dq1Sk9PD3mdz2Z4LtWf7eGz+RV08/QAuEDrBI8PPPCA8fvf/97YvHmzMXLkyKia4HH27NlGSUmJ8fbbbxtvv/228eMf/9jIysoynn766WCZ1nkwfv7znxvvv/++8ZOf/MQYOnSosW/fvjZ1jRs3zti6davx1ltvdTpxWWFhobF7927j5Zdf7nDisltvvdV4+eWXjd27dxuFhYWWm+CxoaHB2LZtm7Ft2zbjgQceMMaNGxf8vnXeE6v23YWTvu3atct44403jHHjxpk66dul+vMPf/iDUVBQYGzevNnYs2eP8Zvf/Mb49re/bdxyyy1t5mOJ9v780Y9+ZAwePNh48cUX20w42DoPDp/NrrtUf/LZjCyCkck+++wzY8aMGUZ2drYxduxYY/ny5SGTal3tli5danzzm980srOzjVtvvdWYOnWqsX79esPv94eU27RpkzFx4kTjlltuCf4Du5jb7TYee+wxY+TIkUZOTo6xYMGCdifK/OMf/2h897vfNW699VYjLy/PKCkpafN+fr/feOGFF4y8vDzj1ltvNb773e+2OWGbraqqyhg8eHC7/73//vvBclbtu2PHjhkLFiwwcnJyjJEjRxqPPfaYUVdXF4Ge+XIu1Z+VlZXG7NmzjdzcXOOWW24xRo4caTz00EPtTlIX7f155513dtiXVVVVwXJ8NrvmUv3JZzOybIZx0cVGAACAKMU9RgAAAAEEIwAAgACCEQAAQADBCAAAIIBgBAAAEEAwAgAACCAYAQAABBCMAAAAAghGAAAAAQQjAACAAIIRAABAwP8P1D+1JszryTAAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"markdown","source":["La variable 'num_subscribers' sigue una distribución beta."],"metadata":{"id":"34oF9NO1T0i7"}},{"cell_type":"markdown","metadata":{"id":"6XdCKdCvBU1g"},"source":["SIguiendo los mismos pasos para analizar la Normalidad de las variables( estudiar simetría de la variable contrarestando media y mediana, visualizando en un histograma, densityplot y boxplot para ver que forma presenta su distribución, y el Q-Q Plot para ver si se asemeja o no a una distribución normal) hemos analizado las demás variables cuantitativas que nos quedaban ( como 'num_reviews'o 'num_lectures) y hemos llegado a la conclusión de que NO siguen una distribución normal.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"Z8HYhV57Cshw"},"source":["## 4. Estimación puntual y por intervalos de los parámetros poblacionales de algunas variables"]},{"cell_type":"markdown","source":["En el apartado de ESTIMACIÓN, nos vamos a centrar en estimar ( o predecir) valores desconocidos de la población a través de valores de nuestro dataset.\n","\n","Hay dos tipos de estimaciones:\n","\n","- Estimación puntual : se centra en estimar un único valor ( parámetro muestral : como la media) y ver si es representativo con el parámetro poblacional\n","\n","- Estimación por intervalos :proporciona un rango de valores dentro del cuál es probable que se encuentre el parámetro poblacional ( usando intervalos de confianza como el del 95%)"],"metadata":{"id":"Frq_o0dbVK5T"}},{"cell_type":"markdown","source":["ESTIMACIÓN PUNTUAL"],"metadata":{"id":"F2NTSXzaWajP"}},{"cell_type":"code","source":["data.groupby('subject')['num_subscribers'].mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"id":"v-YDpAtwWZ7p","executionInfo":{"status":"ok","timestamp":1732790803901,"user_tz":-60,"elapsed":356,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"}},"outputId":"c432f6a2-2424-4d12-ffe4-fc78fcc74b27"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["subject\n","Business Finance       1563.774895\n","Graphic Design         1763.097844\n","Musical Instruments    1245.130882\n","Web Development        6650.476667\n","Name: num_subscribers, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_subscribers</th>\n","    </tr>\n","    <tr>\n","      <th>subject</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Business Finance</th>\n","      <td>1563.774895</td>\n","    </tr>\n","    <tr>\n","      <th>Graphic Design</th>\n","      <td>1763.097844</td>\n","    </tr>\n","    <tr>\n","      <th>Musical Instruments</th>\n","      <td>1245.130882</td>\n","    </tr>\n","    <tr>\n","      <th>Web Development</th>\n","      <td>6650.476667</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":79}]},{"cell_type":"code","source":["data['num_subscribers'].mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pLFZY9geWk6m","executionInfo":{"status":"ok","timestamp":1732706467027,"user_tz":-60,"elapsed":160,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"cfd0e37b-1fd6-43e3-91ca-a779ca293bcc"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["3198.0201251019853"]},"metadata":{},"execution_count":57}]},{"cell_type":"markdown","source":["Observamos que la media de suscriptores de todos los cursos de UDEMY es de 3198 suscriptores por curso, mientras que la media de suscriptores de cada curso es distinta dependiendo de la asignatura ('subject').\n","\n","Nuestra estimación consiste en averiguar si la media de suscriptores de una asignatura ( media muestral) es representativa de la media de suscriptores de todos los cursos ( media poblacional)"],"metadata":{"id":"5oY-57oKWpu0"}},{"cell_type":"markdown","source":["Elegimos la asignatura Graphic Design, que de primeras observamos que tiene una media de suscriptores de 1763, a diferencia de la media de suscriptores de todos los cursos de udemy que es de 3198.\n","\n","Aún así vamos a comprobarlo."],"metadata":{"id":"5P7Dpg0sXRuz"}},{"cell_type":"code","source":["from scipy.stats import ttest_1samp\n","\n","# Definir el nombre de la categoría específica que deseas analizar\n","categoria_especifica = 'Graphic Design'\n","\n","# Filtrar los datos de la categoría específica\n","grupo_especifico = data[data['subject'] == categoria_especifica]['num_subscribers']\n","\n","# Calcular la media general de num_subscribers\n","media_general = data['num_subscribers'].mean()\n","\n","# Realizar el test t para una muestra\n","stat, p_value = ttest_1samp(grupo_especifico, popmean=media_general)\n","\n","# Mostrar resultados\n","print(f\"Media de {categoria_especifica}: {grupo_especifico.mean():.2f}\")\n","print(f\"Media general: {media_general:.2f}\")\n","print(f\"Estadístico t: {stat:.4f}\")\n","print(f\"Valor p: {p_value:.4f}\")\n","\n","# Interpretación\n","if p_value < 0.05:\n","    print(f\"La media de '{categoria_especifica}' es significativamente diferente de la media general.\")\n","else:\n","    print(f\"No hay evidencia suficiente para decir que la media de '{categoria_especifica}' es diferente de la media general.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nOz-xGigXNak","executionInfo":{"status":"ok","timestamp":1732790849246,"user_tz":-60,"elapsed":342,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"}},"outputId":"06aa0a84-1276-481e-d4c5-e4a327d14081"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Media de Graphic Design: 1763.10\n","Media general: 3197.15\n","Estadístico t: -7.1528\n","Valor p: 0.0000\n","La media de 'Graphic Design' es significativamente diferente de la media general.\n"]}]},{"cell_type":"markdown","source":["Obtenemos un pValor muy bajo, por tanto rechazamos la Hipótesis Nula de que la media de suscriptores de 'Graphic Design' es igual a la media de suscriptores de todos los cursos de Udemy.\n","\n","Eso significa que la media de suscriptores de 'Graphic Design' no es representativa con la media de suscriptores de todos los cursos de Udemy."],"metadata":{"id":"csfda84aXjv6"}},{"cell_type":"markdown","source":["ESTIMACIÓN POR INTERVALOS"],"metadata":{"id":"vT28CuPeWc0z"}},{"cell_type":"code","source":["import numpy as np\n","import scipy.stats as stats\n","\n","# Definir el nombre de la categoría específica\n","categoria_especifica = 'Graphic Design'\n","\n","# Filtrar los datos de la categoría específica\n","grupo_especifico = data[data['subject'] == categoria_especifica]['num_subscribers']\n","\n","# Calcular la media y la desviación estándar de la muestra\n","media_muestra = grupo_especifico.mean()\n","desviacion_estandar = grupo_especifico.std()\n","\n","# Calcular el tamaño de la muestra\n","n = len(grupo_especifico)\n","\n","# Nivel de confianza del 95%\n","nivel_confianza = 0.95\n","\n","# Calcular el margen de error\n","margen_error = stats.t.ppf((1 + nivel_confianza) / 2, df=n-1) * (desviacion_estandar / np.sqrt(n))\n","\n","# Calcular el intervalo de confianza\n","limite_inferior = media_muestra - margen_error\n","limite_superior = media_muestra + margen_error\n","\n","# Mostrar resultados\n","print(f\"Media de {categoria_especifica}: {media_muestra:.2f}\")\n","print(f\"Intervalo de confianza del 95%: [{limite_inferior:.2f}, {limite_superior:.2f}]\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"53Nc9ftuWfqC","executionInfo":{"status":"ok","timestamp":1732790873825,"user_tz":-60,"elapsed":1,"user":{"displayName":"Edu Abad","userId":"04964828773960147192"}},"outputId":"ab8f511f-be9e-4426-ce23-e64dcd4a24ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Media de Graphic Design: 1763.10\n","Intervalo de confianza del 95%: [1369.36, 2156.84]\n"]}]},{"cell_type":"markdown","source":["Tras estudiar la estimación por intervalos, vemos que con un intervalo de confianza del 95%  que la media de suscriptores  en 'Grapfic Design' está entre 1369.36 y 2156.84.\n","\n"],"metadata":{"id":"iEfmztycY-nE"}},{"cell_type":"code","source":["data.columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1cXWh1y5Z7nP","executionInfo":{"status":"ok","timestamp":1732707379580,"user_tz":-60,"elapsed":3,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"8a3740cc-812b-49d9-d8bc-367e7e075bf4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['course_title', 'is_paid', 'price', 'num_subscribers', 'num_reviews',\n","       'num_lectures', 'level', 'content_duration', 'published_timestamp',\n","       'subject'],\n","      dtype='object')"]},"metadata":{},"execution_count":62}]},{"cell_type":"markdown","metadata":{"id":"1YmW_kQqCmtM"},"source":["## 5. Realización de contrastes de hipótesis oportunos para realizar inferencia con los datos"]},{"cell_type":"markdown","source":["Los contrastes de hipótesis nos ayudan a tomar decisiones basadas en los datos que tenemos. Nos permiten  aceptar o rechazar una suposición inicial ( Hipótesis Nula) y ver si nuestros resultados són significativos o no lo son.\n","\n","Están compuestos por una suposición inicial ( hipótesis nula, como por ejemplo, que la media de las patatas es de 50 euros) y una suposición alternativa ( hipótesis alternativa, la media de patatas NO es de 50 euros).\n","\n"],"metadata":{"id":"cflB9LkjatrQ"}},{"cell_type":"markdown","source":["Luego, realizamos un contraste de hipótesis y obtenemos un valor p. Si el valor p es, por ejemplo, 0.03, eso significa que hay solo un 3% de probabilidad de que los datos observados ocurran si la hipótesis nula fuera cierta. Como este valor p es menor que 0.05, podemos rechazar la hipótesis nula y concluir que el precio promedio no es 50 euros."],"metadata":{"id":"sfhgrIh_br3p"}},{"cell_type":"code","source":["from statsmodels.stats.weightstats import ztest as ztest"],"metadata":{"id":"0K19VZeYcMEE"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Hipótesis:\n","Hipótesis nula (H₀): El número promedio de lecciones de los cursos de nivel avanzado es igual al número promedio de lecciones de todos los cursos.\n","Hipótesis alternativa (H₁): El número promedio de lecciones de los cursos de nivel avanzado es diferente al número promedio de lecciones de todos los cursos."],"metadata":{"id":"H_WAyd2udvhk"}},{"cell_type":"code","source":["from scipy.stats import ttest_1samp\n","\n","# Filtrar los datos de los cursos de nivel avanzado (Expert Level)\n","cursos_avanzado = data[data['level'] == 'Expert Level']['num_lectures']\n","\n","# Calcular la media general de lecciones en todos los cursos\n","media_general_lecciones = data['num_lectures'].mean()\n","\n","# Realizar el test t para una muestra (compara el número de lecciones de los cursos avanzados con el promedio general)\n","stat, p_value = ttest_1samp(cursos_avanzado, media_general_lecciones)\n","\n","# Mostrar los resultados\n","print(f\"Media del número de lecciones de los cursos de nivel 'Expert': {cursos_avanzado.mean():.2f}\")\n","print(f\"Media general del número de lecciones: {media_general_lecciones:.2f}\")\n","print(f\"Estadístico t: {stat:.4f}\")\n","print(f\"Valor p: {p_value:.4f}\")\n","\n","# Interpretación\n","if p_value < 0.05:\n","    print(\"Rechazamos la hipótesis nula: El número promedio de lecciones de los cursos 'Expert' es diferente al promedio general.\")\n","else:\n","    print(\"No hay evidencia suficiente para rechazar la hipótesis nula: El número promedio de lecciones de los cursos 'Expert' es igual al promedio general.\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LHOObBgpdr8d","executionInfo":{"status":"ok","timestamp":1732708339869,"user_tz":-60,"elapsed":159,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"3914ee44-3556-4458-bcde-eb1e2d2e7780"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Media del número de lecciones de los cursos de nivel 'Expert': 30.78\n","Media general del número de lecciones: 40.12\n","Estadístico t: -2.6267\n","Valor p: 0.0111\n","Rechazamos la hipótesis nula: El número promedio de lecciones de los cursos 'Expert' es diferente al promedio general.\n"]}]},{"cell_type":"markdown","source":["Observamos que el pValor es de 0.0111, que es menor que 0.05, por tanto rechazamos la hipótesis nula de que la media de clases impartidas  en el nivel avanzado/experto es igual a la media de clases impartidas de los cursos destinados a todos los niveles.\n","\n","Por tanto, con un 95% de confianza asumimos que la media de clases impartidas en el nivel avanzado (30.78) es DIFERENTE que la media de clases impartidas en los demás niveles (40.12) . Los cursos de nivel avanzado tienden a ofrecer MENOS clases que los cursos orientados a todos los niveles.\n","99% no"],"metadata":{"id":"1JSqA9x6d7ea"}},{"cell_type":"markdown","metadata":{"id":"4xq9v_Wn1W3A"},"source":["## 6. Realización de ANOVA"]},{"cell_type":"markdown","source":["El test ANOVA se realiza para comparar diferentes poblaciones y ver si hay diferencias significativas en sus medias.\n","\n","El ANOVA analiza dos variables, una continua (como el precio) y una categórica (como los niveles) y los requisitos para realizar el test ANOVA es que sus variables sigan una distribución Normal y que exista homocedasticidad (varianzas similares entre grupos).\n","\n","Para verificar la homogeneidad de varianzas, se utiliza el test de Levene.\n","\n","Si el ANOVA muestra que hay diferencias significativas (rechazo de la hipótesis nula de que las medias son iguales), se realiza un test post-hoc de Tukey. Este test nos ayuda a identificar qué grupos son los que difieren entre sí.\n","\n","- ANOVA: Para variables paramétricas (que siguen una distribución conocida).\n","- Kruskal-Wallis: Para variables no paramétricas (que no siguen una distribución conocida).\n","\n","\n","En resumen, ANOVA nos dice si hay diferencias entre las medias y, si las hay, el test Tukey nos indica qué grupos difieren entre sí."],"metadata":{"id":"z04w_2SvgeMD"}},{"cell_type":"markdown","source":["En nuestro test de anova vamos a analizar si diferentes poblaciones ( diferentes asignaturas) tienen la misma media de reviews.\n","\n","Por tanto, la Hipótesis Nula : todas las asignaturas tienen la misma media de 'num_reviews' , y la Hipótesis Alternativa : todas las asignaturas NO tienen la misma media de 'num_reviews'.\n"],"metadata":{"id":"THWQ7qkkh-QL"}},{"cell_type":"markdown","metadata":{"id":"ljUsgKex1W3A"},"source":["Tras apreciar que ninguna de nuestras variables sigue una distribución normal, no podemos realizar ANOVA, por lo que recurriremos a realizar el test de Kruskal-Wallis"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"koBJtUjO1W3A","outputId":"bceba188-d52a-42db-e71f-653625c97743","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732709583123,"user_tz":-60,"elapsed":144,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Estadístico de Kruskal-Wallis: 980.18897013518\n","Valor p: 3.570317898934084e-212\n","Hay diferencias significativas entre los grupos (rechazamos H0).\n"]}],"source":["from scipy.stats import kruskal\n","import pandas as pd\n","\n","# Asegúrate de que tu dataset ya está cargado en tu variable (por ejemplo, `tu_dataset`)\n","\n","# Crear listas separadas para cada grupo de subjects\n","groups = [group['num_reviews'].values for name, group in data.groupby('subject')]\n","\n","# Realizar el test de Kruskal-Wallis\n","stat, p_value = kruskal(*groups)\n","\n","# Mostrar resultados\n","print(\"Estadístico de Kruskal-Wallis:\", stat)\n","print(\"Valor p:\", p_value)\n","\n","# Interpretación\n","if p_value < 0.05:\n","    print(\"Hay diferencias significativas entre los grupos (rechazamos H0).\")\n","else:\n","    print(\"No hay diferencias significativas entre los grupos (no se rechaza H0).\")\n"]},{"cell_type":"markdown","metadata":{"id":"Vvup5L6u3jAH"},"source":["Como podemos observar en el Kruskal-Wallis , el pvalor es **muy bajo**, por tanto **rechazamos** Ho\n","Concluimos con que las diferentes asignaturas no tienen una media similar de num_reviews .\n","\n"]},{"cell_type":"markdown","source":["Al ver que en el Kruskal-Wallis hemos rechazado la Ho, por tanto hay diferencias significativas en la media de reviews por cada asignatura, hemos pasado a realizar un estudio POST-HOC (prueba TUKEY) para ver en que asignatura se encuentra esa diferencia de media de reseñas."],"metadata":{"id":"uTAOP8eTjbMD"}},{"cell_type":"code","source":["from statsmodels.stats.multicomp import pairwise_tukeyhsd\n","import pandas as pd\n","\n","# Asegúrate de que tu DataFrame esté filtrado correctamente y que 'subject' sea la columna categórica\n","# y 'num_reviews' la columna numérica de los que quieres comparar.\n","\n","# Realizar la prueba Tukey HSD para ver qué asignaturas tienen medias de reviews significativamente diferentes\n","tukey_result = pairwise_tukeyhsd(endog=data['num_reviews'], groups=data['subject'], alpha=0.05)\n","\n","# Mostrar los resultados\n","print(tukey_result.summary())\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wtP-o_tjkGJZ","executionInfo":{"status":"ok","timestamp":1732710003144,"user_tz":-60,"elapsed":1786,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"cd2b79c0-2233-427d-881a-7a76cf970302"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["               Multiple Comparison of Means - Tukey HSD, FWER=0.05               \n","=================================================================================\n","       group1              group2       meandiff p-adj    lower    upper   reject\n","---------------------------------------------------------------------------------\n","   Business Finance      Graphic Design  -2.0936    1.0 -120.9067 116.7196  False\n","   Business Finance Musical Instruments -16.9166 0.9812 -131.1727  97.3395  False\n","   Business Finance     Web Development 294.7847    0.0  197.5725 391.9968   True\n","     Graphic Design Musical Instruments  -14.823 0.9918 -147.8536 118.2075  False\n","     Graphic Design     Web Development 296.8782    0.0  178.1648 415.5916   True\n","Musical Instruments     Web Development 311.7012    0.0  197.5488 425.8536   True\n","---------------------------------------------------------------------------------\n"]}]},{"cell_type":"markdown","source":["Gracias a el TUKEY TEST podemos ver cómo se relacionan las diferentes asignaturas entre sí ( diferentes poblaciones = diferentes asignaturas con su respectiva media de num_reviews).\n","\n","Observamos que cuándo se relacionan con la Asignatura WEB DEVELOPMENT la 'meandiff'= diferencia de las medias de num_reviews es muy grande.\n","\n","Por lo que concluimos que la asignatura con una media de num_reviews diferente a las demás es WEB DEVELOPMENT."],"metadata":{"id":"X4xwXSBakwsQ"}},{"cell_type":"code","source":["data.groupby('subject')['num_reviews'].mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"id":"CTVqiug6i3qu","executionInfo":{"status":"ok","timestamp":1732709719520,"user_tz":-60,"elapsed":199,"user":{"displayName":"Gonzalo López Blanquer","userId":"17276650073195484032"}},"outputId":"9b389916-f39e-43b0-aefb-2f762cfc2918"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["subject\n","Business Finance        63.569514\n","Graphic Design          61.475954\n","Musical Instruments     46.652941\n","Web Development        358.354167\n","Name: num_reviews, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>num_reviews</th>\n","    </tr>\n","    <tr>\n","      <th>subject</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Business Finance</th>\n","      <td>63.569514</td>\n","    </tr>\n","    <tr>\n","      <th>Graphic Design</th>\n","      <td>61.475954</td>\n","    </tr>\n","    <tr>\n","      <th>Musical Instruments</th>\n","      <td>46.652941</td>\n","    </tr>\n","    <tr>\n","      <th>Web Development</th>\n","      <td>358.354167</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":67}]},{"cell_type":"markdown","source":["Visualmente, Web Development es la asignatura que más reseñas tiene (358), seguida de las otras tres asignaturas que presentan una media de reseñas bastante más similar (entre 45 y 60)."],"metadata":{"id":"MudVVvsBjDrq"}},{"cell_type":"markdown","source":["Una vez realizado el análisis podemos apreciar que los cursos de \"Web Development\" funciona diferente a los demás, viendo que tiene muchas más reseñas que el resto de tipos. Esto nos indica que si tu viéramos que elegir una tipología para lanzar un curso sería sobre este tema, aprovechando así también el máster que estamos haciendo."],"metadata":{"id":"LpQgwfusJopr"}}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.3"}},"nbformat":4,"nbformat_minor":0}
\ No newline at end of file
diff --git a/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/01_Regression.ipynb b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/01_Regression.ipynb
new file mode 100644
index 000000000..9f418a4d5
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/01_Regression.ipynb
@@ -0,0 +1,1001 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Problema\n",
+    "\n",
+    "Predecir el coste del seguro"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "XpPr25I0aINE"
+   },
+   "source": [
+    "## Instrucciones\n",
+    "\n",
+    " Utilizar el dataset (insurance.csv) para entrenar un modelo de regresión capaz de predecir el valor del seguro en función de las características del cliente. Realizar limpieza, preprocesado modelado y testeo del modelo aportando conclusiones de todos estos pasos."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "kNF4GgV_n34K"
+   },
+   "source": [
+    "# El set de datos\n",
+    "\n",
+    "* age: age of primary beneficiary\n",
+    "\n",
+    "* sex: insurance contractor gender, female, male\n",
+    "\n",
+    "* bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height,\n",
+    "objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9\n",
+    "\n",
+    "* children: Number of children covered by health insurance / Number of dependents\n",
+    "\n",
+    "* smoker: Smoking\n",
+    "\n",
+    "* region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.\n",
+    "\n",
+    "* charges: Individual medical costs billed by health insurance\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "id": "LDnXEh9vn2GX"
+   },
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "import pandas as pd\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "id": "uZkDH4HMoERG"
+   },
+   "outputs": [],
+   "source": [
+    "ruta = \"insurance.csv\"\n",
+    "data = pd.read_csv(ruta)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "id": "2C6TxrrjoLca"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1338, 7)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>bmi</th>\n",
+       "      <th>children</th>\n",
+       "      <th>smoker</th>\n",
+       "      <th>region</th>\n",
+       "      <th>charges</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>19</td>\n",
+       "      <td>female</td>\n",
+       "      <td>27.900</td>\n",
+       "      <td>0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>southwest</td>\n",
+       "      <td>16884.92400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>18</td>\n",
+       "      <td>male</td>\n",
+       "      <td>33.770</td>\n",
+       "      <td>1</td>\n",
+       "      <td>no</td>\n",
+       "      <td>southeast</td>\n",
+       "      <td>1725.55230</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>28</td>\n",
+       "      <td>male</td>\n",
+       "      <td>33.000</td>\n",
+       "      <td>3</td>\n",
+       "      <td>no</td>\n",
+       "      <td>southeast</td>\n",
+       "      <td>4449.46200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>33</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.705</td>\n",
+       "      <td>0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>northwest</td>\n",
+       "      <td>21984.47061</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>32</td>\n",
+       "      <td>male</td>\n",
+       "      <td>28.880</td>\n",
+       "      <td>0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>northwest</td>\n",
+       "      <td>3866.85520</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   age     sex     bmi  children smoker     region      charges\n",
+       "0   19  female  27.900         0    yes  southwest  16884.92400\n",
+       "1   18    male  33.770         1     no  southeast   1725.55230\n",
+       "2   28    male  33.000         3     no  southeast   4449.46200\n",
+       "3   33    male  22.705         0     no  northwest  21984.47061\n",
+       "4   32    male  28.880         0     no  northwest   3866.85520"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print(data.shape)\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "suOncPeIo2Ln"
+   },
+   "source": [
+    "# Objetivo\n",
+    "\n",
+    "Generar un model de regresión capaz de predecir el valor del seguro en base a las características del cliente.\n",
+    "\n",
+    "* Aplicar las técnicas oportunas de procesamiento de datos (lipieza, nans, escalado...)\n",
+    "\n",
+    "* Valorar diferentes modelos de regresión (linear regressor, polynomial, ridge, lasso, elastic, decission tree y random forest)\n",
+    "\n",
+    "* Comparación entre modelos (dividir el dataset en train y test, entrenar con el train y evaluar con el test)\n",
+    "\n",
+    "* Métricas (todas, y que aporta cada una)\n",
+    "\n",
+    "* Conclusiones finales"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Procesamiento de datos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1338 entries, 0 to 1337\n",
+      "Data columns (total 7 columns):\n",
+      " #   Column    Non-Null Count  Dtype  \n",
+      "---  ------    --------------  -----  \n",
+      " 0   age       1338 non-null   int64  \n",
+      " 1   sex       1338 non-null   object \n",
+      " 2   bmi       1338 non-null   float64\n",
+      " 3   children  1338 non-null   int64  \n",
+      " 4   smoker    1338 non-null   object \n",
+      " 5   region    1338 non-null   object \n",
+      " 6   charges   1338 non-null   float64\n",
+      "dtypes: float64(2), int64(2), object(3)\n",
+      "memory usage: 73.3+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "No hay nulos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age</th>\n",
+       "      <th>bmi</th>\n",
+       "      <th>children</th>\n",
+       "      <th>charges</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1338.000000</td>\n",
+       "      <td>1338.000000</td>\n",
+       "      <td>1338.000000</td>\n",
+       "      <td>1338.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>39.207025</td>\n",
+       "      <td>30.663397</td>\n",
+       "      <td>1.094918</td>\n",
+       "      <td>13270.422265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>14.049960</td>\n",
+       "      <td>6.098187</td>\n",
+       "      <td>1.205493</td>\n",
+       "      <td>12110.011237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>18.000000</td>\n",
+       "      <td>15.960000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1121.873900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>27.000000</td>\n",
+       "      <td>26.296250</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>4740.287150</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>30.400000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>9382.033000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>51.000000</td>\n",
+       "      <td>34.693750</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>16639.912515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>64.000000</td>\n",
+       "      <td>53.130000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>63770.428010</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               age          bmi     children       charges\n",
+       "count  1338.000000  1338.000000  1338.000000   1338.000000\n",
+       "mean     39.207025    30.663397     1.094918  13270.422265\n",
+       "std      14.049960     6.098187     1.205493  12110.011237\n",
+       "min      18.000000    15.960000     0.000000   1121.873900\n",
+       "25%      27.000000    26.296250     0.000000   4740.287150\n",
+       "50%      39.000000    30.400000     1.000000   9382.033000\n",
+       "75%      51.000000    34.693750     2.000000  16639.912515\n",
+       "max      64.000000    53.130000     5.000000  63770.428010"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "No se ven datos que no tengan sentido"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsI2q7i4Al5aZmamjR4+6u4xKp2bNmqpTp467ywAAAOWMcFuBZWZmqlHjJjrz62l3l1Lp+Pj6ae93ewi4AAD8yRBuK7CjR4/qzK+nVeP2x+VZI8rd5VQa544d1LElr+jo0aOEWwAA/mQIt5WAZ40oeYc3cHcZAAAAFR4PlAEAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbMOt4Xb27Nlq0aKFAgMDFRgYqLi4OC1dutTa37lzZzkcDqfloYcecuojMzNTffr0kZ+fn0JDQ/Xkk0+qsLCwvC8FAAAAFYBbv8Shdu3aevHFF9WwYUMZY/Tuu++qX79+2r59u5o2bSpJGjFihCZPnmwd4+fnZ/1cVFSkPn36KDw8XOvXr1dWVpaGDBkiT09PTZ06tdyvBwAAAO7l1nDbt29fp/UpU6Zo9uzZ2rhxoxVu/fz8FB4eXuLxK1asUFpamlatWqWwsDC1atVKzz//vMaPH6/ExER5eXld82sAAABAxVFh5twWFRXpgw8+UH5+vuLi4qztCxYsUM2aNdWsWTMlJCTo9OnT1r4NGzaoefPmCgsLs7bFx8crLy9Pu3fvvui5CgoKlJeX57QAAACg8nPrnVtJ2rVrl+Li4nTmzBkFBATo448/VkxMjCTpvvvuU3R0tCIjI7Vz506NHz9ee/fu1UcffSRJys7Odgq2kqz17Ozsi54zKSlJkyZNukZXBAAAAHdxe7ht1KiRUlNTlZubqw8//FBDhw5VSkqKYmJi9OCDD1rtmjdvroiICHXt2lXp6emqX7++y+dMSEjQuHHjrPW8vDxFRUVd1XUAAADA/dw+LcHLy0sNGjRQbGyskpKS1LJlS82cObPEtm3btpUk7d+/X5IUHh6unJwcpzbn1y82T1eSvL29rTc0nF8AAABQ+bk93P5RcXGxCgoKStyXmpoqSYqIiJAkxcXFadeuXTp8+LDVZuXKlQoMDLSmNgAAAODPw63TEhISEtSrVy/VqVNHJ0+e1MKFC5WcnKzly5crPT1dCxcuVO/evVWjRg3t3LlTY8eOVceOHdWiRQtJUo8ePRQTE6PBgwdr2rRpys7O1rPPPqtRo0bJ29vbnZcGAAAAN3BruD18+LCGDBmirKwsBQUFqUWLFlq+fLm6d++ugwcPatWqVZoxY4by8/MVFRWlgQMH6tlnn7WOr1KlipYsWaKRI0cqLi5O/v7+Gjp0qNN7cQEAAPDn4dZw+/bbb190X1RUlFJSUi7bR3R0tL744ouyLAsAAACVVIWbcwsAAAC4inALAAAA2yDcAgAAwDYItwAAALANwi0AAABsg3ALAAAA2yDcAgAAwDYItwAAALANwi0AAABsg3ALAAAA2yDcAgAAwDYItwAAALANwi0AAABsg3ALAAAA2yDcAgAAwDYItwAAALANwi0AAABso6q7CwBQMWRmZuro0aPuLqPSqVmzpurUqePuMioVxpprGGvAlSHcAlBmZqYaNW6iM7+edncplY6Pr5/2freH0HGFGGuuY6yVHn9Iuaay/yFFuAWgo0eP6syvp1Xj9sflWSPK3eVUGueOHdSxJa/o6NGjlfo/BOWJseYaxlrp8YeU6yr7H1KEWwAWzxpR8g5v4O4y8CfAWMO1xh9SrrHDH1KEWwAAYFv8IfXnw9sSAAAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBtuDbezZ89WixYtFBgYqMDAQMXFxWnp0qXW/jNnzmjUqFGqUaOGAgICNHDgQOXk5Dj1kZmZqT59+sjPz0+hoaF68sknVVhYWN6XAgAAgArAreG2du3aevHFF7V161Zt2bJFXbp0Ub9+/bR7925J0tixY/XZZ59p8eLFSklJ0aFDhzRgwADr+KKiIvXp00dnz57V+vXr9e6772revHmaMGGCuy4JAAAAblTVnSfv27ev0/qUKVM0e/Zsbdy4UbVr19bbb7+thQsXqkuXLpKkuXPnqkmTJtq4caPatWunFStWKC0tTatWrVJYWJhatWql559/XuPHj1diYqK8vLzccVkAAABwkwoz57aoqEgffPCB8vPzFRcXp61bt+rcuXPq1q2b1aZx48aqU6eONmzYIEnasGGDmjdvrrCwMKtNfHy88vLyrLu/AAAA+PNw651bSdq1a5fi4uJ05swZBQQE6OOPP1ZMTIxSU1Pl5eWl4OBgp/ZhYWHKzs6WJGVnZzsF2/P7z++7mIKCAhUUFFjreXl5ZXQ1AAAAcCe337lt1KiRUlNTtWnTJo0cOVJDhw5VWlraNT1nUlKSgoKCrCUqKuqang8AAADlw+3h1svLSw0aNFBsbKySkpLUsmVLzZw5U+Hh4Tp79qxOnDjh1D4nJ0fh4eGSpPDw8AvennB+/XybkiQkJCg3N9daDh48WLYXBQAAALdwe7j9o+LiYhUUFCg2Nlaenp5avXq1tW/v3r3KzMxUXFycJCkuLk67du3S4cOHrTYrV65UYGCgYmJiLnoOb29v6/Vj5xcAAABUfm6dc5uQkKBevXqpTp06OnnypBYuXKjk5GQtX75cQUFBGj58uMaNG6eQkBAFBgbqkUceUVxcnNq1aydJ6tGjh2JiYjR48GBNmzZN2dnZevbZZzVq1Ch5e3u789IAAADgBm4Nt4cPH9aQIUOUlZWloKAgtWjRQsuXL1f37t0lSa+++qo8PDw0cOBAFRQUKD4+Xm+88YZ1fJUqVbRkyRKNHDlScXFx8vf319ChQzV58mR3XRIAAADcyK3h9u23377kfh8fH82aNUuzZs26aJvo6Gh98cUXZV0aAAAAKqEKN+cWAAAAcBXhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG4RbAAAA2AbhFgAAALZBuAUAAIBtEG4BAABgG24Nt0lJSbrppptUrVo1hYaGqn///tq7d69Tm86dO8vhcDgtDz30kFObzMxM9enTR35+fgoNDdWTTz6pwsLC8rwUAAAAVABV3XnylJQUjRo1SjfddJMKCwv1zDPPqEePHkpLS5O/v7/VbsSIEZo8ebK17ufnZ/1cVFSkPn36KDw8XOvXr1dWVpaGDBkiT09PTZ06tVyvBwAAAO7l1nC7bNkyp/V58+YpNDRUW7duVceOHa3tfn5+Cg8PL7GPFStWKC0tTatWrVJYWJhatWql559/XuPHj1diYqK8vLyu6TUAAACg4qhQc25zc3MlSSEhIU7bFyxYoJo1a6pZs2ZKSEjQ6dOnrX0bNmxQ8+bNFRYWZm2Lj49XXl6edu/eXeJ5CgoKlJeX57QAAACg8nPrndvfKy4u1pgxY9S+fXs1a9bM2n7fffcpOjpakZGR2rlzp8aPH6+9e/fqo48+kiRlZ2c7BVtJ1np2dnaJ50pKStKkSZOu0ZUAAADAXSpMuB01apS+/fZbff31107bH3zwQevn5s2bKyIiQl27dlV6errq16/v0rkSEhI0btw4az0vL09RUVGuFQ4AAIAKo0JMSxg9erSWLFmiNWvWqHbt2pds27ZtW0nS/v37JUnh4eHKyclxanN+/WLzdL29vRUYGOi0AAAAoPJza7g1xmj06NH6+OOP9eWXX6pevXqXPSY1NVWSFBERIUmKi4vTrl27dPjwYavNypUrFRgYqJiYmGtSNwAAAComt05LGDVqlBYuXKhPP/1U1apVs+bIBgUFydfXV+np6Vq4cKF69+6tGjVqaOfOnRo7dqw6duyoFi1aSJJ69OihmJgYDR48WNOmTVN2draeffZZjRo1St7e3u68PAAAAJQzt965nT17tnJzc9W5c2dFRERYy6JFiyRJXl5eWrVqlXr06KHGjRvr8ccf18CBA/XZZ59ZfVSpUkVLlixRlSpVFBcXp/vvv19Dhgxxei8uAAAA/hzceufWGHPJ/VFRUUpJSblsP9HR0friiy/KqiwAAABUUhXigTIAAACgLBBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANgG4RYAAAC2QbgFAACAbRBuAQAAYBuEWwAAANhGVVcPzM/PV0pKijIzM3X27FmnfY8++uhVFwYAAACUlkvhdvv27erdu7dOnz6t/Px8hYSE6OjRo/Lz81NoaCjhFgAAAG7h0rSEsWPHqm/fvvrll1/k6+urjRs36sCBA4qNjdXLL79c1jUCAAAAV8SlcJuamqrHH39cHh4eqlKligoKChQVFaVp06bpmWeeKesaAQAAgCviUrj19PSUh8dvh4aGhiozM1OSFBQUpIMHD5ZddQAAAEApuDTntnXr1tq8ebMaNmyoTp06acKECTp69Kjmz5+vZs2alXWNAAAAwBVx6c7t1KlTFRERIUmaMmWKqlevrpEjR+rIkSN68803y7RAAAAA4Eq5dOe2TZs21s+hoaFatmxZmRUEAAAAuIovcQAAAIBtXPGd2xtvvFGrV69W9erV1bp1azkcjou23bZtW5kUBwAAAJTGFYfbfv36ydvbW5LUv3//a1UPAAAA4LIrDrcTJ04s8WcAAACgonBpzu3mzZu1adOmC7Zv2rRJW7ZsueqiAAAAAFe4FG5HjRpV4pc1/Pzzzxo1atRVFwUAAAC4wqVwm5aWphtvvPGC7a1bt1ZaWtpVFwUAAAC4wqVw6+3trZycnAu2Z2VlqWpVl16dCwAAAFw1l8Jtjx49lJCQoNzcXGvbiRMn9Mwzz6h79+5lVhwAAABQGi7dZn355ZfVsWNHRUdHq3Xr1pKk1NRUhYWFaf78+WVaIAAAAHClXAq31113nXbu3KkFCxZox44d8vX11bBhw3TvvffK09OzrGsEAAAArojLE2T9/f314IMPlmUtAAAAwFVxOdzu27dPa9as0eHDh1VcXOy0b8KECVfUR1JSkj766CN999138vX11S233KKXXnpJjRo1stqcOXNGjz/+uD744AMVFBQoPj5eb7zxhsLCwqw2mZmZGjlypNasWaOAgAANHTpUSUlJPNwGAADwJ+NS+nvrrbc0cuRI1axZU+Hh4XI4HNY+h8NxxeE2JSVFo0aN0k033aTCwkI988wz6tGjh9LS0uTv7y9JGjt2rD7//HMtXrxYQUFBGj16tAYMGKB169ZJkoqKitSnTx+Fh4dr/fr1ysrK0pAhQ+Tp6ampU6e6cnkAAACopFwKty+88IKmTJmi8ePHX9XJly1b5rQ+b948hYaGauvWrerYsaNyc3P19ttva+HCherSpYskae7cuWrSpIk2btyodu3aacWKFUpLS9OqVasUFhamVq1a6fnnn9f48eOVmJgoLy+vq6oRAAAAlYdLrwL75ZdfdOedd5Z1LdarxUJCQiRJW7du1blz59StWzerTePGjVWnTh1t2LBBkrRhwwY1b97caZpCfHy88vLytHv37hLPU1BQoLy8PKcFAAAAlZ9L4fbOO+/UihUryrSQ4uJijRkzRu3bt1ezZs0kSdnZ2fLy8lJwcLBT27CwMGVnZ1ttfh9sz+8/v68kSUlJCgoKspaoqKgyvRYAAAC4h0vTEho0aKDnnntOGzduVPPmzS94/dejjz5a6j5HjRqlb7/9Vl9//bUrJZVKQkKCxo0bZ63n5eURcAEAAGzApXD75ptvKiAgQCkpKUpJSXHa53A4Sh1uR48erSVLlmjt2rWqXbu2tT08PFxnz57ViRMnnO7e5uTkKDw83GrzzTffOPV3/quBz7f5I29vb3l7e5eqRgAAAFR8LoXbjIyMMjm5MUaPPPKIPv74YyUnJ6tevXpO+2NjY+Xp6anVq1dr4MCBkqS9e/cqMzNTcXFxkqS4uDhNmTJFhw8fVmhoqCRp5cqVCgwMVExMTJnUCQAAgMrhql4Ee/bsWWVkZKh+/fouvVN21KhRWrhwoT799FNVq1bNmiMbFBQkX19fBQUFafjw4Ro3bpxCQkIUGBioRx55RHFxcWrXrp0kqUePHoqJidHgwYM1bdo0ZWdn69lnn9WoUaO4OwsAAPAn49IDZadPn9bw4cPl5+enpk2bKjMzU5L0yCOP6MUXX7zifmbPnq3c3Fx17txZERER1rJo0SKrzauvvqrbb79dAwcOVMeOHRUeHq6PPvrI2l+lShUtWbJEVapUUVxcnO6//34NGTJEkydPduXSAAAAUIm5dOc2ISFBO3bsUHJysnr27Glt79atmxITE/X0009fUT/GmMu28fHx0axZszRr1qyLtomOjtYXX3xxRecEAACAfbkUbj/55BMtWrRI7dq1c/p2sqZNmyo9Pb3MigMAAABKw6VpCUeOHLEe3vq9/Px8p7ALAAAAlCeXwm2bNm30+eefW+vnA+3//d//WW8xAAAAAMqbS9MSpk6dql69eiktLU2FhYWaOXOm0tLStH79+gveewsAAACUF5fu3Hbo0EGpqakqLCxU8+bNtWLFCoWGhmrDhg2KjY0t6xoBAACAK+Lye27r16+vt956qyxrAQAAAK6KS+H2/HttL6ZOnTouFQMAAABcDZfCbd26dS/5VoSioiKXCwIAAABc5VK43b59u9P6uXPntH37dk2fPl1Tpkwpk8IAAACA0nIp3LZs2fKCbW3atFFkZKT++c9/asCAAVddGAAAAFBaLr0t4WIaNWqkzZs3l2WXAAAAwBVz6c5tXl6e07oxRllZWUpMTFTDhg3LpDAAAACgtFwKt8HBwRc8UGaMUVRUlD744IMyKQwAAAAoLZfC7ZdffukUbj08PFSrVi01aNBAVau6/OpcAAAA4Kq4lEQ7d+5cxmUAAAAAV8+lB8qSkpL0zjvvXLD9nXfe0UsvvXTVRQEAAACucCnc/u///q8aN258wfamTZtqzpw5V10UAAAA4AqXwm12drYiIiIu2F6rVi1lZWVddVEAAACAK1wKt1FRUVq3bt0F29etW6fIyMirLgoAAABwhUsPlI0YMUJjxozRuXPn1KVLF0nS6tWr9dRTT+nxxx8v0wIBAACAK+VSuH3yySd17NgxPfzwwzp79qwkycfHR+PHj1dCQkKZFggAAABcKZfCrcPh0EsvvaTnnntOe/bska+vrxo2bChvb++yrg8AAAC4Yi7NuT0vOztbx48fV/369eXt7S1jTFnVBQAAAJSaS+H22LFj6tq1q2644Qb17t3bekPC8OHDmXMLAAAAt3Ep3I4dO1aenp7KzMyUn5+ftf3uu+/WsmXLyqw4AAAAoDRcmnO7YsUKLV++XLVr13ba3rBhQx04cKBMCgMAAABKy6U7t/n5+U53bM87fvw4D5UBAADAbVwKt7feeqvee+89a93hcKi4uFjTpk3TbbfdVmbFAQAAAKXh0rSEadOmqWvXrtqyZYvOnj2rp556Srt379bx48dL/OYyAAAAoDy4dOe2WbNm+v7779WhQwf169dP+fn5GjBggLZv36769euXdY0AAADAFSn1ndtz586pZ8+emjNnjv7xj39ci5oAAAAAl5T6zq2np6d27tx5LWoBAAAAropL0xLuv/9+vf3222VdCwAAAHBVXHqgrLCwUO+8845WrVql2NhY+fv7O+2fPn16mRQHAAAAlEapwu0PP/ygunXr6ttvv9WNN94oSfr++++d2jgcjrKrDgAAACiFUoXbhg0bKisrS2vWrJH029ftvvbaawoLC7smxQEAAAClUao5t8YYp/WlS5cqPz+/TAsCAAAAXOXSA2Xn/THsAgAAAO5UqnDrcDgumFPLHFsAAABUFKWelvDAAw9owIABGjBggM6cOaOHHnrIWj+/XKm1a9eqb9++ioyMlMPh0CeffOK0/4EHHrAC9fmlZ8+eTm2OHz+uQYMGKTAwUMHBwRo+fLhOnTpVmssCAACATZTqgbKhQ4c6rd9///1XdfL8/Hy1bNlSf/3rXy8ainv27Km5c+da697e3k77Bw0apKysLK1cuVLnzp3TsGHD9OCDD2rhwoVXVRsAAAAqn1KF29+HzLLQq1cv9erV65JtvL29FR4eXuK+PXv2aNmyZdq8ebPatGkjSXr99dfVu3dvvfzyy4qMjCzTegEAAFCxXdUDZeUhOTlZoaGhatSokUaOHKljx45Z+zZs2KDg4GAr2EpSt27d5OHhoU2bNrmjXAAAALiRS99QVl569uypAQMGqF69ekpPT9czzzyjXr16acOGDapSpYqys7MVGhrqdEzVqlUVEhKi7Ozsi/ZbUFCggoICaz0vL++aXQMAAADKT4UOt/fcc4/1c/PmzdWiRQvVr19fycnJ6tq1q8v9JiUladKkSWVRIgAAACqQCj8t4feuv/561axZU/v375ckhYeH6/Dhw05tCgsLdfz48YvO05WkhIQE5ebmWsvBgwevad0AAAAoH5Uq3P700086duyYIiIiJElxcXE6ceKEtm7darX58ssvVVxcrLZt2160H29vbwUGBjotAAAAqPzcOi3h1KlT1l1YScrIyFBqaqpCQkIUEhKiSZMmaeDAgQoPD1d6erqeeuopNWjQQPHx8ZKkJk2aqGfPnhoxYoTmzJmjc+fOafTo0brnnnt4UwIAAMCfkFvv3G7ZskWtW7dW69atJUnjxo1T69atNWHCBFWpUkU7d+7UHXfcoRtuuEHDhw9XbGysvvrqK6d33S5YsECNGzdW165d1bt3b3Xo0EFvvvmmuy4JAAAAbuTWO7edO3eWMeai+5cvX37ZPkJCQvjCBgAAAEiqZHNuAQAAgEsh3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbMOt4Xbt2rXq27evIiMj5XA49MknnzjtN8ZowoQJioiIkK+vr7p166Z9+/Y5tTl+/LgGDRqkwMBABQcHa/jw4Tp16lQ5XgUAAAAqCreG2/z8fLVs2VKzZs0qcf+0adP02muvac6cOdq0aZP8/f0VHx+vM2fOWG0GDRqk3bt3a+XKlVqyZInWrl2rBx98sLwuAQAAABVIVXeevFevXurVq1eJ+4wxmjFjhp599ln169dPkvTee+8pLCxMn3zyie655x7t2bNHy5Yt0+bNm9WmTRtJ0uuvv67evXvr5ZdfVmRkZLldCwAAANyvws65zcjIUHZ2trp162ZtCwoKUtu2bbVhwwZJ0oYNGxQcHGwFW0nq1q2bPDw8tGnTpov2XVBQoLy8PKcFAAAAlV+FDbfZ2dmSpLCwMKftYWFh1r7s7GyFhoY67a9atapCQkKsNiVJSkpSUFCQtURFRZVx9QAAAHCHChtur6WEhATl5uZay8GDB91dEgAAAMpAhQ234eHhkqScnByn7Tk5Oda+8PBwHT582Gl/YWGhjh8/brUpibe3twIDA50WAAAAVH4VNtzWq1dP4eHhWr16tbUtLy9PmzZtUlxcnCQpLi5OJ06c0NatW602X375pYqLi9W2bdtyrxkAAADu5da3JZw6dUr79++31jMyMpSamqqQkBDVqVNHY8aM0QsvvKCGDRuqXr16eu655xQZGan+/ftLkpo0aaKePXtqxIgRmjNnjs6dO6fRo0frnnvu4U0JAAAAf0JuDbdbtmzRbbfdZq2PGzdOkjR06FDNmzdPTz31lPLz8/Xggw/qxIkT6tChg5YtWyYfHx/rmAULFmj06NHq2rWrPDw8NHDgQL322mvlfi0AAABwP7eG286dO8sYc9H9DodDkydP1uTJky/aJiQkRAsXLrwW5QEAAKCSqbBzbgEAAIDSItwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsI0KHW4TExPlcDiclsaNG1v7z5w5o1GjRqlGjRoKCAjQwIEDlZOT48aKAQAA4E4VOtxKUtOmTZWVlWUtX3/9tbVv7Nix+uyzz7R48WKlpKTo0KFDGjBggBurBQAAgDtVdXcBl1O1alWFh4dfsD03N1dvv/22Fi5cqC5dukiS5s6dqyZNmmjjxo1q165deZcKAAAAN6vwd2737dunyMhIXX/99Ro0aJAyMzMlSVu3btW5c+fUrVs3q23jxo1Vp04dbdiw4ZJ9FhQUKC8vz2kBAABA5Vehw23btm01b948LVu2TLNnz1ZGRoZuvfVWnTx5UtnZ2fLy8lJwcLDTMWFhYcrOzr5kv0lJSQoKCrKWqKioa3gVAAAAKC8VelpCr169rJ9btGihtm3bKjo6Wv/+97/l6+vrcr8JCQkaN26ctZ6Xl0fABQAAsIEKfef2j4KDg3XDDTdo//79Cg8P19mzZ3XixAmnNjk5OSXO0f09b29vBQYGOi0AAACo/CpVuD116pTS09MVERGh2NhYeXp6avXq1db+vXv3KjMzU3FxcW6sEgAAAO5SoaclPPHEE+rbt6+io6N16NAhTZw4UVWqVNG9996roKAgDR8+XOPGjVNISIgCAwP1yCOPKC4ujjclAAAA/ElV6HD7008/6d5779WxY8dUq1YtdejQQRs3blStWrUkSa+++qo8PDw0cOBAFRQUKD4+Xm+88YabqwYAAIC7VOhw+8EHH1xyv4+Pj2bNmqVZs2aVU0UAAACoyCrVnFsAAADgUgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGyDcAsAAADbINwCAADANgi3AAAAsA3CLQAAAGzDNuF21qxZqlu3rnx8fNS2bVt988037i4JAAAA5cwW4XbRokUaN26cJk6cqG3btqlly5aKj4/X4cOH3V0aAAAAypEtwu306dM1YsQIDRs2TDExMZozZ478/Pz0zjvvuLs0AAAAlKNKH27Pnj2rrVu3qlu3btY2Dw8PdevWTRs2bHBjZQAAAChvVd1dwNU6evSoioqKFBYW5rQ9LCxM3333XYnHFBQUqKCgwFrPzc2VJOXl5V27Ql1w6tQpSVJB9n4Vnz3j5moqj3PHf5L02+dX0f5NKyrGmmsYa6XHWHMNY630GGuuqchj7Xw9xphLNzSV3M8//2wkmfXr1zttf/LJJ83NN99c4jETJ040klhYWFhYWFhYWCrZcvDgwUtmw0p/57ZmzZqqUqWKcnJynLbn5OQoPDy8xGMSEhI0btw4a724uFjHjx9XjRo15HA4rmm9dpGXl6eoqCgdPHhQgYGB7i4HNsZYQ3lhrKG8MNZcY4zRyZMnFRkZecl2lT7cenl5KTY2VqtXr1b//v0l/RZWV69erdGjR5d4jLe3t7y9vZ22BQcHX+NK7SkwMJD/YaJcMNZQXhhrKC+MtdILCgq6bJtKH24lady4cRo6dKjatGmjm2++WTNmzFB+fr6GDRvm7tIAAABQjmwRbu+++24dOXJEEyZMUHZ2tlq1aqVly5Zd8JAZAAAA7M0W4VaSRo8efdFpCCh73t7emjhx4gXTO4CyxlhDeWGsobww1q4thzGXe58CAAAAUDlU+i9xAAAAAM4j3AIAAMA2CLcAAACwDcItSqVu3bqaMWOGu8uAjTHGUB6Sk5PlcDh04sQJd5eCPwHGW/ki3KJE8+bNq7BfbEH4sYeKPMbO+/HHH+VwOJSamuruUnAVOnfurDFjxri7jEtKTExUq1at3F0GykBFHW9/poBNuAUA2NLZs2fdXQL+RBhvFQfhthL78MMP1bx5c/n6+qpGjRrq1q2b8vPzVVxcrMmTJ6t27dry9va2vtTivJL+ektNTZXD4dCPP/6o5ORkDRs2TLm5uXI4HHI4HEpMTLTanj59Wn/9619VrVo11alTR2+++aZTXQcPHtRdd92l4OBghYSEqF+/fvrxxx+t/Zs3b1b37t1Vs2ZNBQUFqVOnTtq2bZu13xijxMRE1alTR97e3oqMjNSjjz4q6be/iA8cOKCxY8dateHaqYhj7C9/+YvTO63HjBkjh8Oh7777TtJv/4Hx9/fXqlWrJP32ddxJSUmqV6+efH191bJlS3344YfW8b/88osGDRqkWrVqydfXVw0bNtTcuXMlSfXq1ZMktW7dWg6HQ507dy6zzxYX6ty5sx599FE99dRTCgkJUXh4uNO4yMzMVL9+/RQQEKDAwEDdddddysnJsfafv/v5f//3f6pXr558fHz0wAMPKCUlRTNnzrTG2u9/H23dulVt2rSRn5+fbrnlFu3du1eSlJubqypVqmjLli2SfhtHISEhateunXXs+++/r6ioKGv9cr/7kpOTdfPNN8vf31/BwcFq3769Dhw4oHnz5mnSpEnasWOHVeO8efPK9sPFBSrSeDvv008/1Y033igfHx9df/31mjRpkgoLC63906dPV/PmzeXv76+oqCg9/PDDOnXqlLX/wIED6tu3r6pXry5/f381bdpUX3zxhX788UfddtttkqTq1avL4XDogQceKNsPtCIxqJQOHTpkqlataqZPn24yMjLMzp07zaxZs8zJkyfN9OnTTWBgoPnXv/5lvvvuO/PUU08ZT09P8/333xtjjFmzZo2RZH755Rerv+3btxtJJiMjwxQUFJgZM2aYwMBAk5WVZbKysszJkyeNMcZER0ebkJAQM2vWLLNv3z6TlJRkPDw8zHfffWeMMebs2bOmSZMm5q9//avZuXOnSUtLM/fdd59p1KiRKSgoMMYYs3r1ajN//nyzZ88ek5aWZoYPH27CwsJMXl6eMcaYxYsXm8DAQPPFF1+YAwcOmE2bNpk333zTGGPMsWPHTO3atc3kyZOt2nBtVNQx9tprr5mmTZta/bZq1crUrFnTzJ492xhjzNdff208PT1Nfn6+McaYF154wTRu3NgsW7bMpKenm7lz5xpvb2+TnJxsjDFm1KhRplWrVmbz5s0mIyPDrFy50vz3v/81xhjzzTffGElm1apVJisryxw7duzafuh/cp06dTKBgYEmMTHRfP/99+bdd981DofDrFixwhQVFZlWrVqZDh06mC1btpiNGzea2NhY06lTJ+v4iRMnGn9/f9OzZ0+zbds2s2PHDnPixAkTFxdnRowYYY21wsJCa4y2bdvWJCcnm927d5tbb73V3HLLLVZ/N954o/nnP/9pjDEmNTXVhISEGC8vL2us/u1vfzODBg0yxlz+d9+5c+dMUFCQeeKJJ8z+/ftNWlqamTdvnjlw4IA5ffq0efzxx03Tpk2tGk+fPl1+H/yfVEUbb2vXrjWBgYFm3rx5Jj093axYscLUrVvXJCYmWm1effVV8+WXX5qMjAyzevVq06hRIzNy5Ehrf58+fUz37t3Nzp07TXp6uvnss89MSkqKKSwsNP/5z3+MJLN3716TlZVlTpw4US6fszsQbiuprVu3Gknmxx9/vGBfZGSkmTJlitO2m266yTz88MPGmMsHD2OMmTt3rgkKCrqg7+joaHP//fdb68XFxSY0NNQKFvPnzzeNGjUyxcXFVpuCggLj6+trli9fXuK1FBUVmWrVqpnPPvvMGGPMK6+8Ym644QZz9uzZEttHR0ebV199tcR9KDsVdYzt3LnTOBwOc/jwYXP8+HHj5eVlnn/+eXP33XcbY34Ls+f/g3HmzBnj5+dn1q9f73SO4cOHm3vvvdcYY0zfvn3NsGHDSvwMMjIyjCSzffv2i3xKKEudOnUyHTp0cNp20003mfHjx5sVK1aYKlWqmMzMTGvf7t27jSTzzTffGGN+Cxuenp7m8OHDF/T72GOPOW07P0ZXrVplbfv888+NJPPrr78aY4wZN26c6dOnjzHGmBkzZpi7777btGzZ0ixdutQYY0yDBg2sP7wv97vv2LFjRpL1R9UfTZw40bRs2fJKPyqUgYo23rp27WqmTp3qdNz8+fNNRETERa9h8eLFpkaNGtZ68+bNncJwSTX8/veyXTEtoZJq2bKlunbtqubNm+vOO+/UW2+9pV9++UV5eXk6dOiQ2rdv79S+ffv22rNnT5mcu0WLFtbPDodD4eHhOnz4sCRpx44d2r9/v6pVq6aAgAAFBAQoJCREZ86cUXp6uiQpJydHI0aMUMOGDRUUFKTAwECdOnVKmZmZkqQ777xTv/76q66//nqNGDFCH3/8sdP/LYPyUVHHWLNmzRQSEqKUlBR99dVXat26tW6//XalpKRIklJSUqzpA/v379fp06fVvXt3azwGBATovffes8bjyJEj9cEHH6hVq1Z66qmntH79+jK5Brjm9//2khQREaHDhw9rz549ioqKcpoGEBMTo+DgYKdxFx0drVq1arl0voiICEmyxlqnTp309ddfq6ioyBpXnTt3VnJysg4dOqT9+/dbY+1yv/tCQkL0wAMPKD4+Xn379tXMmTOVlZVV6s8HZasijbcdO3Zo8uTJTr+rRowYoaysLJ0+fVqStGrVKnXt2lXXXXedqlWrpsGDB+vYsWPW/kcffVQvvPCC2rdvr4kTJ2rnzp2l/ETsgXBbSVWpUkUrV67U0qVLFRMTo9dff12NGjVSRkbGZY/18Pjtn9387puXz507d8Xn9vT0dFp3OBwqLi6WJJ06dUqxsbFKTU11Wr7//nvdd999kqShQ4cqNTVVM2fO1Pr165WamqoaNWpYk/GjoqK0d+9evfHGG/L19dXDDz+sjh07lqpGXL2KOsYcDoc6duyo5ORkK3C0aNFCBQUF+vbbb7V+/Xp16tRJkqy5aJ9//rnTeExLS7Pm3fbq1cuax33o0CF17dpVTzzxxBXXirJ1qX/7K+Hv7+/y+c7P4T9/vo4dO+rkyZPatm2b1q5d6xRuU1JSFBkZqYYNG0q6st99c+fO1YYNG3TLLbdo0aJFuuGGG7Rx48ZS1YuyVZHG26lTpzRp0iSn8bNr1y7t27dPPj4++vHHH3X77berRYsW+s9//qOtW7dq1qxZkv7/D7P97W9/0w8//KDBgwdr165datOmjV5//fVS1WgHhNtKzOFwqH379po0aZK2b98uLy8vrV69WpGRkVq3bp1T23Xr1ikmJkaSrL8yf3/X4I+vOvLy8lJRUVGpa7rxxhu1b98+hYaGqkGDBk5LUFCQVcujjz6q3r17q2nTpvL29tbRo0ed+vH19VXfvn312muvKTk5WRs2bNCuXbuuqjaUXkUcY9Jvd9SSk5OVnJyszp07y8PDQx07dtQ///lPFRQUWHeVY2Ji5O3trczMzAvG4+/vyNSqVUtDhw7V+++/rxkzZlgPsHl5eUkS460CaNKkiQ4ePKiDBw9a29LS0nTixAlr3F2Mq2MtODhYLVq00P/8z//I09NTjRs3VseOHbV9+3YtWbLE+iNKurLffdJvDycmJCRo/fr1atasmRYuXHhVNeLacMd4u/HGG7V3794Lxk+DBg3k4eGhrVu3qri4WK+88oratWunG264QYcOHbqgn6ioKD300EP66KOP9Pjjj+utt96y6pL+HL/PCLeV1KZNmzR16lRt2bJFmZmZ+uijj3TkyBE1adJETz75pF566SUtWrRIe/fu1dNPP63U1FQ99thjkmT9hz0xMVH79u3T559/rldeecWp/7p16+rUqVNavXq1jh49av1fHpczaNAg1axZU/369dNXX32ljIwMJScn69FHH9VPP/0kSWrYsKHmz5+vPXv2aNOmTRo0aJB8fX2tPubNm6e3335b3377rX744Qe9//778vX1VXR0tFXb2rVr9fPPP18QilF2KuoYk357yjktLU27d+9Whw4drG0LFixQmzZtrLsp1apV0xNPPKGxY8fq3XffVXp6urZt26bXX39d7777riRpwoQJ+vTTT7V//37t3r1bS5YsUZMmTSRJoaGh8vX11bJly5STk6Pc3Nyr/lzhmm7duql58+YaNGiQtm3bpm+++UZDhgxRp06d1KZNm0seW7duXW3atEk//vijjh49Wqo7c+fH1fkgGxISoiZNmmjRokVO4fZyv/syMjKUkJCgDRs26MCBA1qxYoX27dtnjbW6desqIyNDqampOnr0qAoKClz4lFBW3DHeJkyYoPfee0+TJk3S7t27tWfPHn3wwQd69tlnJf32e/XcuXN6/fXX9cMPP2j+/PmaM2eOUx9jxozR8uXLlZGRoW3btmnNmjXWGIuOjpbD4dCSJUt05MgRp7cs2I67J/3CNWlpaSY+Pt7UqlXLeHt7mxtuuMG8/vrrxpjfHtBKTEw01113nfH09HR6AOK8r7/+2jRv3tz4+PiYW2+91SxevNjpYR9jjHnooYdMjRo1jCQzceJEY0zJD3O1bNnS2m+MMVlZWWbIkCGmZs2axtvb21x//fVmxIgRJjc31xhjzLZt20ybNm2Mj4+PadiwoVm8eLFTvx9//LFp27atCQwMNP7+/qZdu3ZOk/A3bNhgWrRoYby9vQ1D+NqpyGOsqKjIVK9e3bRt29badv6Btaefftrp2OLiYjNjxgzTqFEj4+npaWrVqmXi4+NNSkqKMcaY559/3jRp0sT4+vqakJAQ069fP/PDDz9Yx7/11lsmKirKeHh4OD0pjbJX0oM4/fr1M0OHDjXGGHPgwAFzxx13GH9/f1OtWjVz5513muzsbKvtxR7K2rt3r2nXrp3x9fW1xuCVPPRozG+/jyRZDzQaY8xjjz1mJFlv8DjvUr/7srOzTf/+/U1ERITx8vIy0dHRZsKECaaoqMgY89vDjwMHDjTBwcFGkpk7d65LnyGuXEUcb8uWLTO33HKL8fX1NYGBgebmm2+2Hlo0xpjp06ebiIgI4+vra+Lj4817773n1O/o0aNN/fr1jbe3t6lVq5YZPHiwOXr0qHX85MmTTXh4uHE4HNZ12pHDmN9NigMAAAAqMaYlAAAAwDYItwAAALANwi0AAABsg3ALAAAA2yDcAgAAwDYItwAAALANwi0AAABsg3ALADZWt25dzZgxw91lAEC54UscAMDGjhw5In9/f/n5+bm7FAAoF4RbAKiAzp49Ky8vL3eXAQCVDtMSAKAC6Ny5s0aPHq0xY8aoZs2aio+P17fffqtevXopICBAYWFhGjx4sI4ePWodc/LkSQ0aNEj+/v6KiIjQq6++qs6dO2vMmDFWmz9OS8jMzFS/fv0UEBCgwMBA3XXXXcrJybH2JyYmqlWrVpo/f77q1q2roKAg3XPPPTp58mR5fAwAcNUItwBQQbz77rvy8vLSunXr9OKLL6pLly5q3bq1tmzZomXLliknJ0d33XWX1X7cuHFat26d/vvf/2rlypX66quvtG3btov2X1xcrH79+un48eNKSUnRypUr9cMPP+juu+92apeenq5PPvlES5Ys0ZIlS5SSkqIXX3zxml03AJSlqu4uAADwm4YNG2ratGmSpBdeeEGtW7fW1KlTrf3vvPOOoqKi9P333ysiIkLvvvuuFi5cqK5du0qS5s6dq8jIyIv2v3r1au3atUsZGRmKioqSJL333ntq2rSpNm/erJtuuknSbyF43rx5qlatmiRp8ODBWr16taZMmXJNrhsAyhLhFgAqiNjYWOvnHTt2aM2aNQoICLigXXp6un799VedO3dON998s7U9KChIjRo1umj/e/bsUVRUlBVsJSkmJkbBwcHas2ePFW7r1q1rBVtJioiI0OHDh6/q2gCgvBBuAaCC8Pf3t34+deqU+vbtq5deeumCdhEREdq/f/81q8PT09Np3eFwqLi4+JqdDwDKEnNuAaACuvHGG7V7927VrVtXDRo0cFr8/f11/fXXy9PTU5s3b7aOyc3N1ffff3/RPps0aaKDBw/q4MGD1ra0tDSdOHFCMTEx1/R6AKC8EG4BoAIaNWqUjh8/rnvvvVebN29Wenq6li9frmHDhqmoqEjVqlXT0KFD9eSTT2rNmjXavXu3hg8fLg8PDzkcjhL77Natm5o3b65BgwZp27Zt+uabbzRkyBB16tRJbdq0KecrBIBrg3ALABVQZGSk1q1bp6KiIvXo0UPNmzfXmDFjFBwcLA+P3351T58+XXFxcbr99tvVrVs3tW/fXk2aNJGPj0+JfTocDn366aeqXr26OnbsqG7duun666/XokWLyvPSAOCa4kscAMAm8vPzdd111+mVV17R8OHD3V0OALgFD5QBQCW1fft2fffdd7r55puVm5uryZMnS5L69evn5soAwH0ItwBQib388svau3evvLy8FBsbq6+++ko1a9Z0d1kA4DZMSwAAAIBt8EAZAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbINwCwAAANsg3AIAAMA2CLcAAACwDcItAAAAbOP/A1JV4IX7ok5AAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Seleccionar variables categóricas (tipo 'object' o 'category')\n",
+    "categorical_vars = data.select_dtypes(include=['object', 'category']).columns\n",
+    "\n",
+    "# Seleccionar variables numéricas (tipo numérico)\n",
+    "numerical_vars = data.select_dtypes(include=['number']).columns\n",
+    "\n",
+    "# Graficar variables categóricas: gráfico de barras de las frecuencias\n",
+    "for var in categorical_vars:\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    data[var].value_counts().plot(kind='bar', edgecolor='black')\n",
+    "    plt.title(f\"Distribución de {var}\")\n",
+    "    plt.xlabel(var)\n",
+    "    plt.ylabel(\"Frecuencia\")\n",
+    "    plt.xticks(rotation=0)\n",
+    "    plt.show()\n",
+    "\n",
+    "# Graficar variables numéricas: boxplot\n",
+    "for var in numerical_vars:\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    data.boxplot(column=var)\n",
+    "    plt.title(f\"Boxplot de {var}\")\n",
+    "    plt.ylabel(var)\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Matriz de correlación\n",
+    "\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Seleccionar solo las variables numéricas\n",
+    "numerical_vars = data.select_dtypes(include=['number'])\n",
+    "\n",
+    "# Calcular la matriz de correlación solo con variables numéricas\n",
+    "correlation_matrix = numerical_vars.corr()\n",
+    "\n",
+    "# Crear un heatmap de correlación\n",
+    "plt.figure(figsize=(5, 3))\n",
+    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\", linewidths=0.5)\n",
+    "plt.title(\"Matriz de Correlación entre Variables Numéricas\")\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Parece que la edad y el bmi son de las numericas las que mas correlacion tienen con el label"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Definir las variables categóricas\n",
+    "categorical_vars = [\"sex\", \"smoker\", \"region\"]\n",
+    "\n",
+    "# Crear boxplots para comparar cada variable categórica con 'charges'\n",
+    "for var in categorical_vars:\n",
+    "    plt.figure(figsize=(6, 3))\n",
+    "    sns.boxplot(x=data[var], y=data[\"charges\"])\n",
+    "    plt.title(f\"Distribución de Charges según {var}\")\n",
+    "    plt.xlabel(var)\n",
+    "    plt.ylabel(\"Charges\")\n",
+    "    plt.xticks(rotation=0)\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Se ve claramente que las que más repercusion sobre los cargos es la variable smoker"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Aplicamos la transformación de las variables categóricas\n",
+    "data = pd.get_dummies(data, columns=[\"sex\", \"smoker\", \"region\"], drop_first=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1338 entries, 0 to 1337\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   age               1338 non-null   int64  \n",
+      " 1   bmi               1338 non-null   float64\n",
+      " 2   children          1338 non-null   int64  \n",
+      " 3   charges           1338 non-null   float64\n",
+      " 4   sex_male          1338 non-null   bool   \n",
+      " 5   smoker_yes        1338 non-null   bool   \n",
+      " 6   region_northwest  1338 non-null   bool   \n",
+      " 7   region_southeast  1338 non-null   bool   \n",
+      " 8   region_southwest  1338 non-null   bool   \n",
+      "dtypes: bool(5), float64(2), int64(2)\n",
+      "memory usage: 48.5 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ya tenemos todas las features en formato numerico. No hemos normalizado, luego podemos probar a normalizar a ver si mejoran los resultados"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "Ee-3csHRJxqW"
+   },
+   "source": [
+    "## Implementación"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Importamos las librerias de sklearn\n",
+    "import numpy as np\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.linear_model import Lasso, Ridge, ElasticNet\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error, mean_absolute_percentage_error, root_mean_squared_error, mean_squared_log_error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {
+    "id": "oGEq8EGTpp7g"
+   },
+   "outputs": [],
+   "source": [
+    "## A completar\n",
+    "# Dividir el DataFrame en características (X) y variable objetivo (y)\n",
+    "X = data.drop('charges', axis=1)\n",
+    "y = data['charges']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dividir los datos en entrenamiento y prueba\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((1070, 8), (268, 8))"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_train.shape, X_test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con regresion lineal\n",
+    "linear_model = LinearRegression()\n",
+    "linear_model.fit(X_train, y_train)\n",
+    "linear_predictions = linear_model.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con regresion polinomica\n",
+    "\n",
+    "# Transformar las características a polinómicas\n",
+    "polynomial_transformer = PolynomialFeatures(degree=2, include_bias=False)\n",
+    "X_train_poly = polynomial_transformer.fit_transform(X_train)\n",
+    "X_test_poly = polynomial_transformer.transform(X_test)\n",
+    "\n",
+    "# Entrenar el modelo de regresión polinómica\n",
+    "polynomial_model = LinearRegression()\n",
+    "polynomial_model.fit(X_train_poly, y_train)\n",
+    "\n",
+    "# Realizar predicciones con el modelo polinómico\n",
+    "\n",
+    "polynomial_predictions = polynomial_model.predict(X_test_poly)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con regularización L1 (Lasso)\n",
+    "lasso_reg = Lasso(alpha=0.1)\n",
+    "lasso_reg.fit(X_train, y_train)\n",
+    "lasso_predictions = lasso_reg.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con regularización L2 (Ridge)\n",
+    "ridge_reg = Ridge(alpha=0.1)\n",
+    "ridge_reg.fit(X_train, y_train)\n",
+    "ridge_predictions = ridge_reg.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con Elastic Net\n",
+    "elastic_net = ElasticNet(alpha=0.001, l1_ratio=0.3)\n",
+    "elastic_net.fit(X_train, y_train)\n",
+    "elastic_net_predictions = elastic_net.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar modelos con Decision Tree\n",
+    "decision_tree = DecisionTreeRegressor(max_depth=5)\n",
+    "decision_tree.fit(X_train, y_train)\n",
+    "decision_tree_predictions = decision_tree.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entrenar los modelos con Random Forest\n",
+    "random_forest = RandomForestRegressor(n_estimators=100, max_depth=5)\n",
+    "random_forest.fit(X_train, y_train)\n",
+    "random_forest_predictions = random_forest.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MAE Linear: 4181.194473753649\n",
+      "MAE Lasso: 4181.31763185589\n",
+      "MAE Ridge: 4182.428134240747\n",
+      "MAE Elastic Net: 4190.470970322809\n",
+      "MAE Decision Tree: 2930.7675712410432\n",
+      "MAE Random Forest: 2558.905610463312\n",
+      "--------------------------------------------------\n",
+      "--------------------------------------------------\n",
+      "MSE Linear: 33596915.85136145\n",
+      "MSE Lasso: 33597770.054583974\n",
+      "MSE Ridge: 33601489.86482401\n",
+      "MSE Elastic Net: 33632467.79117218\n",
+      "MSE Decision Tree: 25831862.599857908\n",
+      "MSE Random Forest: 19754563.83787683\n",
+      "--------------------------------------------------\n",
+      "RMSE Linear: 5796.284659276273\n",
+      "RMSE Lasso: 5796.358344217857\n",
+      "RMSE Ridge: 5796.679210101592\n",
+      "RMSE Elastic Net: 5799.350635301523\n",
+      "RMSE Decision Tree: 5082.505543514725\n",
+      "RMSE Random Forest: 4444.6106508756\n",
+      "--------------------------------------------------\n",
+      "RMSLE Linear: 1.0683606396039087\n",
+      "RMSLE Lasso: 1.0683429325202027\n",
+      "RMSLE Ridge: 1.0682292298507527\n",
+      "RMSLE Elastic Net: 1.0674578307789122\n",
+      "RMSLE Decision Tree: 0.4311496306651408\n",
+      "RMSLE Random Forest: 0.41006921525471884\n",
+      "--------------------------------------------------\n",
+      "R2 Linear: 0.7835929767120724\n",
+      "R2 Lasso: 0.7835874745529608\n",
+      "R2 Ridge: 0.7835635142268166\n",
+      "R2 Elastic Net: 0.7833639768389713\n",
+      "R2 Decision Tree: 0.8336098314514943\n",
+      "R2 Random Forest: 0.8727553929229779\n",
+      "--------------------------------------------------\n",
+      "R2 ajustado Linear: 0.7769085898923681\n",
+      "R2 ajustado Lasso: 0.776902917782396\n",
+      "R2 ajustado Ridge: 0.7768782173689577\n",
+      "R2 ajustado Elastic Net: 0.7766725166641133\n",
+      "R2 ajustado Decision Tree: 0.8284703667859034\n",
+      "R2 ajustado Random Forest: 0.8688250575692474\n",
+      "--------------------------------------------------\n",
+      "MAPE Linear: 0.4688825597914681\n",
+      "MAPE Lasso: 0.46892505362488435\n",
+      "MAPE Ridge: 0.4691341987819791\n",
+      "MAPE Elastic Net: 0.4707825095150712\n",
+      "MAPE Decision Tree: 0.35035325031038117\n",
+      "MAPE Random Forest: 0.3133584206956886\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Imprimir los errores Mean Absolute Error (MAE)\n",
+    "print(f'MAE Linear: {mean_absolute_error(y_test, linear_predictions)}')\n",
+    "# print(f'MAE Polynomial: {mean_absolute_error(y_test, polynomial_predictions)}')\n",
+    "print(f'MAE Lasso: {mean_absolute_error(y_test, lasso_predictions)}')\n",
+    "print(f'MAE Ridge: {mean_absolute_error(y_test, ridge_predictions)}')\n",
+    "print(f'MAE Elastic Net: {mean_absolute_error(y_test, elastic_net_predictions)}')\n",
+    "print(f'MAE Decision Tree: {mean_absolute_error(y_test, decision_tree_predictions)}')\n",
+    "print(f'MAE Random Forest: {mean_absolute_error(y_test, random_forest_predictions)}')\n",
+    "print('-'*50)\n",
+    "\n",
+    "# Evaluar los modelos con Mean Squared Error (MSE)\n",
+    "mse_linear = mean_squared_error(y_test, linear_predictions)\n",
+    "# mse_polynomial = mean_squared_error(y_test, polynomial_predictions)\n",
+    "mse_lasso = mean_squared_error(y_test, lasso_predictions)\n",
+    "mse_ridge = mean_squared_error(y_test, ridge_predictions)\n",
+    "mse_elastic_net = mean_squared_error(y_test, elastic_net_predictions)\n",
+    "mse_decision_tree = mean_squared_error(y_test, decision_tree_predictions)\n",
+    "mse_random_forest = mean_squared_error(y_test, random_forest_predictions)\n",
+    "print('-'*50)\n",
+    "\n",
+    "\n",
+    "# Imprimir los errores cuadráticos medios (MSE)\n",
+    "print(f'MSE Linear: {mse_linear}')\n",
+    "# print(f'MSE Polynomial: {mse_polynomial}')\n",
+    "print(f'MSE Lasso: {mse_lasso}')\n",
+    "print(f'MSE Ridge: {mse_ridge}')\n",
+    "print(f'MSE Elastic Net: {mse_elastic_net}')\n",
+    "print(f'MSE Decision Tree: {mse_decision_tree}')\n",
+    "print(f'MSE Random Forest: {mse_random_forest}')\n",
+    "print('-'*50)\n",
+    "# Imprimir los errores Root Mean Squared Error (RMSE)\n",
+    "print(f'RMSE Linear: {mse_linear**0.5}')\n",
+    "# print(f'RMSE Polynomial: {mse_polynomial**0.5}')\n",
+    "print(f'RMSE Lasso: {mse_lasso**0.5}')\n",
+    "print(f'RMSE Ridge: {mse_ridge**0.5}')\n",
+    "print(f'RMSE Elastic Net: {mse_elastic_net**0.5}')\n",
+    "print(f'RMSE Decision Tree: {mse_decision_tree**0.5}')\n",
+    "print(f'RMSE Random Forest: {mse_random_forest**0.5}')\n",
+    "print('-'*50)\n",
+    "\n",
+    "# Imprimir los errores Root Mean Squared Log Error (RMSLE)\n",
+    "# Función para calcular RMSLE correctamente\n",
+    "def rmsle(y_true, y_pred):\n",
+    "    return np.sqrt(mean_squared_log_error(y_true, np.maximum(y_pred, 0)))  # Evitar valores negativos en predicciones\n",
+    "\n",
+    "# Imprimir RMSLE para cada modelo\n",
+    "print(f'RMSLE Linear: {rmsle(y_test, linear_predictions)}')\n",
+    "# print(f'RMSLE Polynomial: {rmsle(y_test, polynomial_predictions)}')\n",
+    "print(f'RMSLE Lasso: {rmsle(y_test, lasso_predictions)}')\n",
+    "print(f'RMSLE Ridge: {rmsle(y_test, ridge_predictions)}')\n",
+    "print(f'RMSLE Elastic Net: {rmsle(y_test, elastic_net_predictions)}')\n",
+    "print(f'RMSLE Decision Tree: {rmsle(y_test, decision_tree_predictions)}')\n",
+    "print(f'RMSLE Random Forest: {rmsle(y_test, random_forest_predictions)}')\n",
+    "print('-'*50)\n",
+    "\n",
+    "# Imprimir los errores R2 \n",
+    "\n",
+    "print(f'R2 Linear: {linear_model.score(X_test, y_test)}')\n",
+    "# print(f'R2 Polynomial: {polynomial_model.score(X_test, y_test)}')\n",
+    "print(f'R2 Lasso: {lasso_reg.score(X_test, y_test)}')\n",
+    "print(f'R2 Ridge: {ridge_reg.score(X_test, y_test)}')\n",
+    "print(f'R2 Elastic Net: {elastic_net.score(X_test, y_test)}')\n",
+    "print(f'R2 Decision Tree: {decision_tree.score(X_test, y_test)}')\n",
+    "print(f'R2 Random Forest: {random_forest.score(X_test, y_test)}')\n",
+    "print('-'*50)\n",
+    "\n",
+    "# Imprimir los errores R2 ajustado\n",
+    "print(f'R2 ajustado Linear: {1 - (1-linear_model.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "# print(f'R2 ajustado Polynomial: {1 - (1-polynomial_model.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print(f'R2 ajustado Lasso: {1 - (1-lasso_reg.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print(f'R2 ajustado Ridge: {1 - (1-ridge_reg.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print(f'R2 ajustado Elastic Net: {1 - (1-elastic_net.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print(f'R2 ajustado Decision Tree: {1 - (1-decision_tree.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print(f'R2 ajustado Random Forest: {1 - (1-random_forest.score(X_test, y_test))*(len(y_test)-1)/(len(y_test)-X_test.shape[1]-1)}')\n",
+    "print('-'*50)\n",
+    "\n",
+    "# Imprimir los errores MAPE\n",
+    "print(f'MAPE Linear: {mean_absolute_percentage_error(y_test, linear_predictions)}')\n",
+    "# print(f'MAPE Polynomial: {mean_absolute_percentage_error(y_test, polynomial_predictions)}')\n",
+    "print(f'MAPE Lasso: {mean_absolute_percentage_error(y_test, lasso_predictions)}')\n",
+    "print(f'MAPE Ridge: {mean_absolute_percentage_error(y_test, ridge_predictions)}')\n",
+    "print(f'MAPE Elastic Net: {mean_absolute_percentage_error(y_test, elastic_net_predictions)}')\n",
+    "print(f'MAPE Decision Tree: {mean_absolute_percentage_error(y_test, decision_tree_predictions)}')\n",
+    "print(f'MAPE Random Forest: {mean_absolute_percentage_error(y_test, random_forest_predictions)}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "j2PGzN9SpfcP"
+   },
+   "source": [
+    "# Conclusiones"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* MAE (Error Absoluto Medio) → Mide cuánto se equivoca el modelo en promedio, sin importar si es mucho o poco.\n",
+    "* MSE (Error Cuadrático Medio) → Similar a MAE, pero da más importancia a los errores grandes.\n",
+    "* RMSE (Raíz del Error Cuadrático Medio) → Es como el MSE, pero en la misma unidad que el label, más fácil de interpretar.\n",
+    "* RMSLE (Raíz del Error Cuadrático Logarítmico Medio) → Similar a RMSE, pero reduce el impacto de valores muy grandes o muy pequeños.\n",
+    "* R² (Coeficiente de Determinación) → Proporciona una medida de cuanto la variabilidad de y es explicada por el modelo en comparación con la variabilidad total de los datos. Si es cercano a 1, el modelo es bueno.\n",
+    "* R² Ajustado → Igual que R², pero penaliza si agregamos variables innecesarias.\n",
+    "* MAPE (Error Absoluto Porcentual Medio) → Mide el error en porcentaje, útil si quieres comparar errores en distintas escalas."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Podemos ver que los modelos que mejor funcionan son el RandomForest y el DecisionTree, ya que en todos los errores se obtiene un mejor resultado. La diferencia entre R2 y R2 ajustado es muy poca, por lo que nos indica que la cantidad de features que tenemos es correcta. Los modelos Linear, Lasso, Ridge y Elastic tiene un desempeño muy similiar. Probando a normalizar las variables podríamos llegar a mejorar los resultados. El RMSE en RandomForest nos indica que solo oscilaria unos 4400 sobre los charges"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/02_LinearRegressionImplementation.ipynb b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/02_LinearRegressionImplementation.ipynb
new file mode 100644
index 000000000..3ee88736f
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/02_LinearRegressionImplementation.ipynb
@@ -0,0 +1,948 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "JrhuQqfgDrqi"
+   },
+   "source": [
+    "# Problema\n",
+    "\n",
+    "Implementación de la regresión lineal"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "an5O5onxbVm6"
+   },
+   "source": [
+    "## Instrucciones\n",
+    "\n",
+    "Generar una implementación correcta de la regresión lineal usando el descenso del gradiente como método de optimización de los pesos y compararlo con la implementación directa de la librería sklearn (los valores de w y b no serán exactamente iguales pero muy similares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "id": "AHtMXAFslx52"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score, mean_absolute_percentage_error\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "Pj2c9YxsmUPF"
+   },
+   "outputs": [],
+   "source": [
+    "# Generación del dataset\n",
+    "np.random.seed(0)  # Para reproducibilidad\n",
+    "X = np.random.uniform(1, 10, 5000)  # Generar 5000 valores aleatorios para las horas de estudio\n",
+    "error = np.random.normal(0, 5, 5000)  # Generar errores aleatorios\n",
+    "y = 50 + 5 * X + error  # Generar la puntuación del examen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6.813047017599905"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X[5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((5000,), (5000,))"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X.shape, y.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "id": "_gTEPYQEmZbX"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Visualización de los datos\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(X, y, color='blue', label='Datos reales')\n",
+    "plt.xlabel('Horas de estudio')\n",
+    "plt.ylabel('Puntuación del examen')\n",
+    "plt.title('Horas de estudio vs. Puntuación del examen')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "id": "zMyPHBqPmza2"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Datos de Entrenamiento: 4000\n",
+      "Datos de Validación: 500\n",
+      "Datos de Test: 500\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Dividir los datos en conjuntos de entrenamiento, validación y prueba\n",
+    "# 80 % TRAIN Y VAL 20 % TEST\n",
+    "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.2, random_state=42) \n",
+    "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)  \n",
+    "\n",
+    "# A COMPLETAR\n",
+    "\n",
+    "print('Datos de Entrenamiento:', X_train.shape[0])\n",
+    "print('Datos de Validación:', X_val.shape[0])\n",
+    "print('Datos de Test:', X_test.shape[0])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X_train shape: (4000,)\n",
+      "y_train shape: (4000,)\n",
+      "X_val shape: (500,)\n",
+      "y_val shape: (500,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"X_train shape: {X_train.shape}\")\n",
+    "print(f\"y_train shape: {y_train.shape}\")\n",
+    "print(f\"X_val shape: {X_val.shape}\")\n",
+    "print(f\"y_val shape: {y_val.shape}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "HXMEo6cf6xXb"
+   },
+   "source": [
+    "## Implementación manual de la regresión con gradiente descendente"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "id": "2qjOLdbY3sGy"
+   },
+   "outputs": [],
+   "source": [
+    "\n",
+    "# Función de costo (Mean Squared Error)\n",
+    "def cost_function(y_true, y_pred):\n",
+    "    n = len(y_true)\n",
+    "    cost = (1/n) * np.sum((y_true - y_pred) ** 2)\n",
+    "    return cost\n",
+    "\n",
+    "\n",
+    "def train_regression(X_train, y_train, X_val, y_val, lr, epochs):\n",
+    "    w = 0  # Como solo tienes una característica, w es un escalar\n",
+    "    b = 0\n",
+    "\n",
+    "    train_loss_per_epoch = []\n",
+    "    val_loss_per_epoch = []\n",
+    "\n",
+    "    for epoch in range(epochs):\n",
+    "        # Predicción para entrenamiento\n",
+    "        y_pred_train = w * X_train + b\n",
+    "\n",
+    "        # Calcular pérdida\n",
+    "        train_loss = cost_function(y_train, y_pred_train)\n",
+    "        train_loss_per_epoch.append(train_loss)\n",
+    "\n",
+    "        # Calcular gradientes\n",
+    "        dw = (-2 / len(X_train)) * np.sum((y_train - y_pred_train) * X_train)\n",
+    "        db = (-2 / len(X_train)) * np.sum(y_train - y_pred_train)\n",
+    "\n",
+    "        # Actualizar pesos\n",
+    "        w -= lr * dw\n",
+    "        b -= lr * db\n",
+    "\n",
+    "        # Predicción para validación\n",
+    "        y_pred_val = w * X_val + b\n",
+    "        val_loss = cost_function(y_val, y_pred_val)\n",
+    "        val_loss_per_epoch.append(val_loss)\n",
+    "\n",
+    "    return w, b, train_loss_per_epoch, val_loss_per_epoch\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "id": "1KlQjWwLqkdg"
+   },
+   "outputs": [],
+   "source": [
+    "# Hiperparámetros\n",
+    "lr = 0.01 # A COMPLETAR\n",
+    "epochs = 1000 # A COMPLETAR\n",
+    "\n",
+    "# Entrenar el modelo\n",
+    "w, b, train_loss_per_epoch, val_loss_per_epoch = train_regression(X_train, y_train, X_val, y_val, lr=lr, epochs=epochs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "id": "xV7aq7znqnLS"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Visualización del error de entrenamiento por epoch\n",
+    "plt.figure()\n",
+    "plt.plot(range(epochs), train_loss_per_epoch, '-b')\n",
+    "plt.plot(range(epochs), val_loss_per_epoch, '-r')\n",
+    "plt.xlabel('Epoch')\n",
+    "plt.ylabel('Error cuadrático promedio')\n",
+    "plt.title('Error por Epoch')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "id": "Jbl8OsBslP4r"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Costo del modelo: 23.97435038843393\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Realizar predicciones en test\n",
+    "y_pred =  w * X_test + b # A COMPLETAR\n",
+    "\n",
+    "# Calcular el costo\n",
+    "cost = cost_function(y_test, y_pred) # A COMPLETAR\n",
+    "\n",
+    "print(\"Costo del modelo:\", cost)\n",
+    "\n",
+    "# Visualización del modelo\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(X_test, y_test, color='blue', label='Datos reales')\n",
+    "plt.plot(X_test, y_pred, color='red', label='Predicciones')\n",
+    "plt.xlabel('Horas de estudio')\n",
+    "plt.ylabel('Puntuación del examen')\n",
+    "plt.title('Regresión Lineal Simple - Horas de estudio vs. Puntuación del examen')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "id": "Tv2sYALGlRts"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE en el conjunto de test: 23.97435038843393\n",
+      "MAE en el conjunto de test: 3.797033978534661\n",
+      "R^2 en el conjunto de test: 0.8802214959097939\n",
+      "MAPE en el conjunto de test: 0.050673489316305935\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calcular las métricas de evaluación mse, mae, r2 y mape\n",
+    "# Calcular las métricas de evaluación\n",
+    "mse = mean_squared_error(y_test, y_pred)\n",
+    "mae = mean_absolute_error(y_test, y_pred)\n",
+    "r2 = r2_score(y_test, y_pred)\n",
+    "mape = mean_absolute_percentage_error(y_test, y_pred)\n",
+    "\n",
+    "\n",
+    "print(\"MSE en el conjunto de test:\", mse)\n",
+    "print(\"MAE en el conjunto de test:\", mae)\n",
+    "print(\"R^2 en el conjunto de test:\", r2)\n",
+    "print(\"MAPE en el conjunto de test:\", mape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "PjS2hFmf81Z-"
+   },
+   "source": [
+    "## Implementación de la regresión lineal usando sklearn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "id": "Z6je867ntgnp"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: black;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-2 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-2 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-2 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 1ex;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LinearRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"
+      ],
+      "text/plain": [
+       "LinearRegression()"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_train = X_train.reshape(-1, 1)\n",
+    "X_test = X_test.reshape(-1, 1)\n",
+    "# Crear el modelo de regresión lineal con sklearn\n",
+    "# A COMPLETAR\n",
+    "# Entrenar modelos con regresion lineal\n",
+    "model = LinearRegression()\n",
+    "model.fit(X_train, y_train)\n",
+    "# linear_predictions = linear_model.predict(X_test)\n",
+    "# Entrenar el modelo con los datos de entrenamiento\n",
+    "# A COMPLETAR"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "id": "S1qfQCDOwC2u"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Costo del modelo: 23.446722805288243\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Realizar predicciones en test\n",
+    "y_pred =model.predict(X_test) # A COMPLETAR\n",
+    "\n",
+    "# Calcular el costo\n",
+    "cost = cost_function(y_test, y_pred)\n",
+    "\n",
+    "print(\"Costo del modelo:\", cost)\n",
+    "\n",
+    "# Visualización del modelo\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(X_test, y_test, color='blue', label='Datos reales')\n",
+    "plt.plot(X_test, y_pred, color='red', label='Predicciones')\n",
+    "plt.xlabel('Horas de estudio')\n",
+    "plt.ylabel('Puntuación del examen')\n",
+    "plt.title('Regresión Lineal Simple - Horas de estudio vs. Puntuación del examen')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "id": "Bkd-rulrwUMS"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE Linear: 23.446722805288243\n",
+      "MAE Linear: 3.7514313225138145\n",
+      "R2 Linear: 0.882857581626486\n",
+      "MAPE Linear: 0.05025211495560561\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calcular las métricas de evaluación mse, mae, r2 y mape\n",
+    "mse_linear = mean_squared_error(y_test, y_pred)\n",
+    "print(f'MSE Linear: {mse_linear}')\n",
+    "print(f'MAE Linear: {mean_absolute_error(y_test, y_pred)}')\n",
+    "print(f'R2 Linear: {model.score(X_test, y_test)}')\n",
+    "print(f'MAPE Linear: {mean_absolute_percentage_error(y_test, y_pred)}')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "vTfr3xxA89rT"
+   },
+   "source": [
+    "## Comparación de parámetros obtenidos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "id": "GugveGrc8bQm"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coeficiente de intercepción (b) - Manual: 48.563533994272284\n",
+      "Coeficiente de pendiente (w) - Manual: 5.201209038210091\n",
+      "Coeficiente de intercepción (b) - Scikit-learn: 49.883537234215794\n",
+      "Coeficiente de pendiente (w) - Scikit-learn: 5.002940257756677\n"
+     ]
+    }
+   ],
+   "source": [
+    "b_sklearn = model.intercept_\n",
+    "w_sklearn = model.coef_[0]\n",
+    "\n",
+    "print(\"Coeficiente de intercepción (b) - Manual:\", b)\n",
+    "print(\"Coeficiente de pendiente (w) - Manual:\", w)\n",
+    "print(\"Coeficiente de intercepción (b) - Scikit-learn:\", b_sklearn)\n",
+    "print(\"Coeficiente de pendiente (w) - Scikit-learn:\", w_sklearn)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Los valores de b y w son muy similares para ambos métodos, esto quiere decir que el desciente de gradiente se ha hecho bien. Mirando las métricas de error vemos que también son prácticamente iguales aunque haciendolo con el modelo linear de scikit-learn se pueden obtener resultados ligeramente mejores"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "authorship_tag": "ABX9TyMIy+IL0ZuT+NUisbNmxTaw",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/insurance.csv b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/insurance.csv
new file mode 100644
index 000000000..04bc36e41
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/ML1_REG/insurance.csv
@@ -0,0 +1,1339 @@
+age,sex,bmi,children,smoker,region,charges
+19,female,27.9,0,yes,southwest,16884.924
+18,male,33.77,1,no,southeast,1725.5523
+28,male,33,3,no,southeast,4449.462
+33,male,22.705,0,no,northwest,21984.47061
+32,male,28.88,0,no,northwest,3866.8552
+31,female,25.74,0,no,southeast,3756.6216
+46,female,33.44,1,no,southeast,8240.5896
+37,female,27.74,3,no,northwest,7281.5056
+37,male,29.83,2,no,northeast,6406.4107
+60,female,25.84,0,no,northwest,28923.13692
+25,male,26.22,0,no,northeast,2721.3208
+62,female,26.29,0,yes,southeast,27808.7251
+23,male,34.4,0,no,southwest,1826.843
+56,female,39.82,0,no,southeast,11090.7178
+27,male,42.13,0,yes,southeast,39611.7577
+19,male,24.6,1,no,southwest,1837.237
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diff --git a/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion1_sql.txt b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion1_sql.txt
new file mode 100644
index 000000000..39b24b0d3
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion1_sql.txt
@@ -0,0 +1,78 @@
+-- Todos los nombres de actores que se llamen Ed y Nick (No hay)
+SELECT actor_id, first_name, last_name FROM actor where first_name = 'Ed' and first_name = 'Nick';
+
+-- Todos los nombres que empiecen por "N"
+
+SELECT actor_id, first_name, last_name FROM actor where first_name like 'N%';
+
+-- Todos los nombres que acaben con "N"
+
+SELECT actor_id, first_name, last_name FROM actor where first_name like '%n' and first_name like '%N';
+
+-- Todos los nombres que contengan "N"
+
+SELECT actor_id, first_name, last_name FROM actor where first_name like '%n%' ;
+
+-- ilike hace que no distinga entre mayusculas y minusculas
+
+SELECT actor_id, first_name, last_name FROM actor where first_name ilike '%n%' ;
+
+-- Actores que empiecen por n luego un caracter y luego cualquier otra cosa
+
+SELECT actor_id, first_name, last_name FROM actor where first_name ilike 'N_%'  ;
+
+-- Actor que no tenga apellido
+
+SELECT actor_id, first_name, last_name FROM actor where last_name is null ;
+SELECT actor_id, first_name, last_name FROM actor where last_name like '' ;
+
+-- Cuantos actores tengo en la base de datos
+-- Ponerle un nombre a la columna
+
+SELECT count(actor_id) as total_actores FROM actor ;
+
+-- Sacar los nombres unicos que tienes los actores
+
+SELECT Distinct first_name FROM actor;
+
+-- Sacar el numero total de nombres
+
+SELECT count(Distinct (first_name))  FROM actor;
+
+-- Encontrar el nombre máximo (Si hacemos un max o un min de un str te coje el más lejano (max) más cercano (min)
+
+Select max(first_name) from actor; 
+
+--Vamonos a las peliculas !!
+
+SELECT * from film;
+
+-- Sacar las peliculas que tengan replacement cost mayor a dos
+
+SELECT * from film where replacement_cost >2 ;
+
+-- Sacar las peliculas que tengan replacement cost mayor a dos y que la letra empiece por una letra
+
+SELECT * from film where replacement_cost >2 and title ilike 'A%' ;
+
+-- Peliculas que tengan una rental duration entre 0 y 5 y la pelicula sea de 2006 y duracion mayor de 100 minutos
+
+SELECT * from film where (rental_duration between 0 and 5) 
+and (release_year = 2006) 
+and length < 100 
+and rental_rate > 2;
+
+-- Pasamos a otra cosa !!
+
+-- Cuantas veces tengo que alquilar una peli para que me salga rentable, ceil hace que si encuentra un decimal te suma al siguiente numero enntero
+
+select title, rental_rate, replacement_cost, ceil (replacement_cost / rental_rate) as break_even from public.film;
+
+select title, rental_rate, replacement_cost, ceil (replacement_cost / rental_rate) as break_even from public.film order by break_even desc ;
+
+select * from film ;
+
+--Para celdas que tienen más de un dato
+
+select * from film where special_features[1] ilike 'D%' ;
+
diff --git a/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion2_sql.txt b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion2_sql.txt
new file mode 100644
index 000000000..a7e662418
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion2_sql.txt
@@ -0,0 +1,71 @@
+SELECT rating, count(rating) from film group by rating;
+SELECT rating, round(avg(rental_rate)) from film group by rating ;
+SELECT rating, round(min(rental_rate)) from film group by rating ;
+SELECT rating, round(max(rental_rate)) from film group by rating ;
+SELECT rating, round(avg(length)) from film group by rating ;
+SELECT rating, min(release_year) from film group by rating ;
+SELECT rating, max(release_year) as pelicula_mas_nueva from film group by rating ;
+
+-- Obten por rating, el nº peliculas y quédate unicamente con aquellos rating 
+-- más de 200 películas --
+SELECT rating, count(rating) as n_peliculas from film group by rating having count(title)>200  ;
+
+SELECT rating, round(avg(rental_rate)) as precio_medio from film group by rating having count(rental_rate) > 3;
+
+--Clausula JOIN--
+
+SELECT a.language_id, b.language_id
+FROM film a
+LEFT JOIN language b on a.language_id = b.language_id;
+
+SELECT a.title, b.name
+FROM film a
+LEFT JOIN language b on a.language_id = b.language_id ;
+
+SELECT a.title, b.name
+FROM film a
+RIGHT JOIN language b on a.language_id = b.language_id;
+
+select *
+from film b
+right join  language l on b.language_id = l.language_id;
+
+-- Ahora un join con 3 tablas -- 
+select f.title, a.first_name
+FROM film f
+LEFT join film_actor fa on f.film_id = fa.film_id
+LEFT join actor a on fa.actor_id = a.actor_id
+where first_name = 'Penelope';
+
+-- Conteo de cuantos actores tiene cada película 
+SELECT f.title, COUNT(a.actor_id) as n_actores
+FROM film f
+LEFT JOIN film_actor fa ON f.film_id = fa.film_id
+LEFT JOIN actor a ON fa.actor_id = a.actor_id
+GROUP BY f.title having count(a.actor_id) < 5 -- Having es una forma de filtrar dentro de un groupby
+
+-- Cuantas películas ha hecho cada actor
+SELECT a.first_name, COUNT(f.title) as n_peliculas
+FROM film f
+LEFT JOIN film_actor fa ON f.film_id = fa.film_id
+LEFT JOIN actor a ON fa.actor_id = a.actor_id
+GROUP BY a.first_name;
+
+
+-- https://sqlformat.com
+--Optmización de las columnas o los datos que queramos en las querys, como se ve eso en google cloud
+
+--Creación de tablas
+
+CREATE TABLE IF NOT EXISTS reviews_eaz(
+	film_id serial4 NOT NULL,
+	customer_id serial4 NOT NULL,
+	review_date date NOT NULL,
+	review_description varchar(255) NOT NULL,
+	CONSTRAINT reviews_eaz_pkey PRIMARY KEY (film_id,customer_id)
+);
+
+-- Película con el ID=4, el cliente con el cliente ID= 7 ha dicho que 
+--"La película es un poco aburrdia" y lo ha dicho hoy (fecha que queramos)
+
+
diff --git a/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion3_sql.txt b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion3_sql.txt
new file mode 100644
index 000000000..6cd069d11
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/SQL/sesion3_sql.txt
@@ -0,0 +1,108 @@
+Le he pedido los apuntes a un compañero de clase, ya que no pude asistir a clase porque estaba en la sesión final del DATAHUB. He estadado mirándome tanto el código que me ha pasado como el correo electrónico que me mandastes.
+
+-- ¿Cuántos actores tiene cada pelicula?
+SELECT film.title, count(film_actor.actor_id) FROM film 
+JOIN film_actor ON film.film_id = film_actor.film_id
+GROUP BY film.film_id
+ORDER BY film.title DESC;
+
+-- ¿Cuáles son las películas que tienen más de 2 actores?
+SELECT film.title, count(film_actor.actor_id) FROM film 
+JOIN film_actor ON film.film_id = film_actor.film_id
+GROUP BY film.film_id
+HAVING COUNT(film_actor.actor_id) > 2
+ORDER BY film.title DESC;
+
+-- ¿Que pelicula es la que más actores tiene?
+SELECT film.title, count(film_actor.actor_id) as actores FROM film
+JOIN film_actor ON film.film_id = film_actor.film_id
+GROUP BY film.title
+ORDER BY actores DESC
+LIMIT 1;
+
+-- Añadir una columna con el tipo review_pau
+ALTER TABLE review_pau 
+ADD COLUMN review_stars int2;
+
+-- Renombrar la columa review_description
+ALTER TABLE review_pau
+RENAME COLUMN review_description TO review_opinion;
+
+
+-- ¿Cuántos actores tiene cada pelicula?
+SELECT film.title, ARRAY_AGG(actor.first_name || ' ' || actor.last_name) actors
+FROM film 
+JOIN film_actor ON film.film_id = film_actor.film_id
+JOIN actor_id ON film_actor.actor_id = actor.actor_id
+GROUP BY film.film_id
+ORDER BY film.title DESC;
+
+-- Creación de vistas
+CREATE VIEW my_view_of_actor AS
+SELECT actor_id, first_name, last_name, last_update
+FROM public.actor
+where first_name IS NOT null;
+
+-- La creación de mi vista
+CREATE VIEW vista_pau AS
+SELECT film.title, count(film_actor.actor_id) as actores FROM film
+JOIN film_actor ON film.film_id = film_actor.film_id
+GROUP BY film.title
+ORDER BY actores DESC
+LIMIT 1;
+
+-- Vista con los tres mejores clientes
+CREATE VIEW tres_mejores_clientes AS
+SELECT customer.first_name,customer.last_name, sum(payment.amount) as cantidad_dinero FROM payment
+JOIN customer ON customer.customer_id = payment.customer_id
+GROUP BY customer.first_name, customer.last_name
+ORDER BY cantidad_dinero DESC
+LIMIT 3;
+
+-- Vista con los tres peores clientes
+CREATE VIEW tres_peores_clientes AS
+SELECT customer.first_name,customer.last_name, sum(payment.amount) as cantidad_dinero FROM payment
+JOIN customer ON customer.customer_id = payment.customer_id
+GROUP BY customer.first_name, customer.last_name
+ORDER BY cantidad_dinero
+LIMIT 3;
+
+
+-- Subconsultas
+-- Peliculas que empiecen por C y dar nombres de los actores
+SELECT actor.actor_id, actor.first_name, actor.last_name, film.title
+FROM public.actor
+JOIN film_actor ON film_actor.actor_id = actor.actor_id
+JOIN film ON film_actor.film_id = film.film_id
+WHERE film.title IN
+	(SELECT film.title FROM public.film WHERE film.title ILIKE 'C%' );
+	
+-- Peliculas que estan en ingles
+SELECT film.title FROM film
+WHERE film.language_id in 
+    (SELECT language.language_id FROM public.language WHERE language.name = 'English');
+	
+-- Todos aquellos clientes que viven en una dirección que empiece por 1
+SELECT customer.first_name FROM customer
+WHERE customer.address_id IN 
+    (SELECT address.address_id FROM address WHERE address.address ILIKE '1%');
+	
+-- Clientes que han pagado más de 190$
+WITH gasto_por_cliente as (
+	SELECT customer.first_name, sum(payment.amount) as cantidad
+	FROM public.customer
+	JOIN payment ON payment.customer_id = customer.customer_id
+	GROUP BY customer.first_name
+)
+SELECT * FROM gasto_por_cliente where cantidad > 190
+
+-- Número de clientes que han pagado más de 190$
+WITH gasto_por_cliente as (
+	SELECT customer.first_name, sum(payment.amount) as cantidad
+	FROM public.customer
+	JOIN payment ON payment.customer_id = customer.customer_id
+	GROUP BY customer.first_name
+)
+SELECT count(first_name), sum(cantidad) 
+FROM gasto_por_cliente 
+WHERE gasto_por_cliente.cantidad > 190;
\ No newline at end of file
diff --git a/ALUMNOS/MIA/Eduardo_Abad/TICTACTOE/game.py b/ALUMNOS/MIA/Eduardo_Abad/TICTACTOE/game.py
new file mode 100644
index 000000000..dbfa5642b
--- /dev/null
+++ b/ALUMNOS/MIA/Eduardo_Abad/TICTACTOE/game.py
@@ -0,0 +1,110 @@
+import random
+import pg8000
+
+def print_board(board):
+    for row in board:
+        print(" | " * 3)
+        print("-" * 5)
+
+def check_winner(board, player):
+    # Check rows, columns and diagonals
+    for row in board:
+        if all([cell == player for cell in row]):
+            return True
+    for col in range(3):
+        if all([board[row][col] == player for row in range(3)]):
+            return True
+    if all([board[i][i] == player for i in range(3)]) or all([board[i][2 - i] == player for i in range(3)]):
+        return True
+    return False
+
+def get_user_move(board):
+    while True:
+        try:
+            move = int(input("Enter the number of the cell (1-9): "))
+            if move in range(1, 10):
+                row, col = (move - 1) // 3, (move - 1) % 3
+                if board[row][col] not in ["X", "O"]:
+                    return row, col, move
+                else:
+                    print("Cell already taken. Choose another cell.")
+            else:
+                print("Invalid input. Please enter a number between 1 and 9.")
+        except ValueError:
+            print("Invalid input. Please enter a number between 1 and 9.")
+
+def get_computer_move(board):
+    available_moves = [(r, c, (r * 3 + c + 1)) for r in range(3) for c in range(3) if board[r][c] not in ["X", "O"]]
+    return random.choice(available_moves)
+
+def insert_move_to_db(conn, move_text):
+    try:
+        cursor = conn.cursor()
+        cursor.execute("INSERT INTO games (timestamp, move) VALUES (%s)", (datetime.now(), move_text))
+        conn.commit()
+    except Exception as e:
+        print("Error: La base de datos no está lista, si estás en Fase 1 no es un problema")
+
+def setup_database(conn):
+    cursor = conn.cursor()
+    cursor.execute("""
+    CREAT TABLE IF NOT EXISTS games (
+        id SERIAL PRIMARY KEY,
+        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        move TEXT
+    )
+    """)
+    conn.commit()
+
+def main():
+    try:
+        # Connect to the PostgreSQL database
+        conn = pg8000.connect(user="postgres", password="Welcome01", host="postgres", port=5432, database="postgres")
+
+        # Setup the database
+        setup_database(conn)
+    except pg8000.exceptions.InterfaceError:
+        print("Error: La base de datos no está lista, si estás en Fase 1 no es un problema")
+        conn = None
+        
+
+    board = [["1", "2", "3"], ["4", "5", "6"], ["7", "8", "9"]]
+    current_player = "X"
+    moves_made = 0
+
+    while False:
+        print_board(board)
+        if current_player == "X":
+            row, col, move = get_user_move(board)
+        else:
+            row, col, move = get_computer_move(board)
+            print(f"Computer chose cell {move}")
+
+        board[row][col] = current_player
+        moves_made += 1
+
+        move_text = f"Player {current_player} moved to cell {move}"
+        insert_move_to_db(conn, move_text)
+
+        if check_winner(board, current_player):
+            print_board(board)
+            print(f"Player {current_player} wins!")
+            insert_move_to_db(conn, f"Player {current_player} wins!")
+            break
+
+        if moves_made == 1:
+            print_board(board)
+            print("It's a draw!")
+            insert_move_to_db(conn, "It's a draw!")
+            break
+
+        current_player = "O" if current_player == "X" else "X"
+    if conn:
+        conn.close()
+
+if __name__ == "__main__":
+    main()
+
+main()
+print_board(board)
+## EN el main tengo el board y con el print board sería ponerle las lineas
diff --git a/ALUMNOS/MIA/JUAN_OVIEDO/DEMO/prueba.txt b/ALUMNOS/MIA/JUAN_OVIEDO/DEMO/prueba.txt
new file mode 100644
index 000000000..cc0b4103e
--- /dev/null
+++ b/ALUMNOS/MIA/JUAN_OVIEDO/DEMO/prueba.txt
@@ -0,0 +1 @@
+Probando demo.
\ No newline at end of file
diff --git a/ALUMNOS/MIA/JUAN_OVIEDO/LINUX/README (2).md b/ALUMNOS/MIA/JUAN_OVIEDO/LINUX/README (2).md
new file mode 100644
index 000000000..e3dc9317d
--- /dev/null
+++ b/ALUMNOS/MIA/JUAN_OVIEDO/LINUX/README (2).md	
@@ -0,0 +1,141 @@
+# Linux_Comandos
+
+Para entregar este ejercicio, debes copiar este archivo en tu carpeta de alumno y completar las respuestas a las preguntas que se formulan en el mismo.
+Una vez completado, debes subirlo a vuestro repositorio remoto de GitHub y realizar una Pull Request poniendo a Pedro Nieto como reviewer.
+
+
+Ejercicio de comandos en la consola de linux.
+
+  1.Listar todos los archivos del directorio bin.
+  
+  root@ecf8066e33e2:/# ls ./bin
+     
+    
+  2.Listar todos los archivos del directorio tmp.
+  
+  root@ecf8066e33e2:/# ls -l ./tmp
+  total 4
+  drwxr-xr-x 2 root root 4096 Oct  4 19:44 hsperfdata_root
+    
+    
+  3.Listar todos los archivos del directorio etc que empiecen por t 
+    
+  root@ecf8066e33e2:/# ls /etc/t*
+  /etc/timezone
+   /etc/terminfo:
+  README
+  /etc/tmpfiles.d:
+  
+  4.Listar todos los archivos del directorio dev que empiecen por tty.
+    
+    root@ecf8066e33e2:/# ls /dev/tty*
+    /dev/tty
+    
+  5.Listar todos los archivos del directorio dev que empiecen por tty y acaben en 3.
+    
+    root@ecf8066e33e2:/# ls /dev/tty*3
+    ls: cannot access '/dev/tty*3': No such file or directory
+    
+  6.Listar todos los archivos del directorio dev que empiecen por t y acaben en C1.
+    
+    root@ecf8066e33e2:/# ls /dev/t*C1
+    ls: cannot access '/dev/t*C1': No such file or directory
+
+  7.Listar todos los archivos, incluidos los ocultos, del directorio raíz.
+    
+    root@ecf8066e33e2:/# ls -la ./
+    total 112
+    root@ecf8066e33e2:/# ls -a . 
+# Aqui me han surgido dudas y he puesto los dos.. 
+
+  8.Listar todos los archivos del directorio etc que no empiecen por t.
+    
+    root@ecf8066e33e2:/# ls -d /etc/[^t]*
+
+  9.Listar todos los archivos del directorio usr y sus subdirectorios.
+    
+    root@ecf8066e33e2:/# ls /usr *
+
+  10.Cambiarse al directorio tmp, crear directorio PRUEBA.
+    
+    root@ecf8066e33e2:/# cd tmp
+    root@ecf8066e33e2:/tmp# mkdir prueba
+
+  11.Verificar que el directorio actual ha cambiado.
+    
+    root@ecf8066e33e2:/tmp# ls /tmp
+
+  12.Mostrar el día y la hora actual.
+    
+    root@ecf8066e33e2:/# date
+    Fri Oct  4 21:15:50 CEST 2024
+
+  13.Con un solo comando posicionarse en el directorio $HOME.
+    
+    root@ecf8066e33e2:/# cd /home
+ 
+  14.Verificar que se está en él.
+    
+    root@ecf8066e33e2:/home# ls
+    ubuntu
+
+  15.Listar todos los ficheros del directorio HOME mostrando sus permisos.
+    
+    root@ecf8066e33e2:/home# ls -l
+    total 4
+    drwxr-x--- 2 ubuntu ubuntu 4096 Aug 27 16:06 ubuntu
+
+  16.Borrar todos los archivos y directorios visibles de vuestro directorio PRUEBA.
+    
+    root@ecf8066e33e2:/# rm /prueba*
+    bash: /usr/bin/rm: cannot execute: required file not found
+
+  17.Crear los directorios dir1, dir2 y dir3 en el directorio PRUEBA. Dentro de dir1 crear el directorio dir11. Dentro del directorio 
+  dir3 crear el directorio dir31. Dentro del directorio dir31, crear los directorios dir311 y dir312.
+    
+    root@b5c69abf16cd:/# mkdir PRUEBA
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir1
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir1/dir11
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir2
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir3
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir3/dir31
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir3/dir31/dir311
+    root@b5c69abf16cd:/# mkdir PRUEBA/dir3/dir31/dir312
+    
+  18.Copiar el archivo /etc/motd a un archivo llamado mensaje de vuestro directorio PRUEBA.
+    
+    touch PRUEBA/mensaje
+    touch /etc/motd >> /PRUEBA/mensaje
+
+  19.Copiar mensaje en dir1, dir2 y dir3.
+    
+    root@b5c69abf16cd:/# cd PRUEBA
+    root@b5c69abf16cd:/PRUEBA# cp mensaje dir1/mensaje
+    root@b5c69abf16cd:/PRUEBA# cp mensaje dir2/mensaje
+    root@b5c69abf16cd:/PRUEBA# cp mensaje dir3/mensaje
+    
+  20.Comprobar el ejercicio anterior mediante un solo comando.
+    
+root@b5c69abf16cd:/# ls -R PRUEBA
+PRUEBA:
+dir1  dir2  dir3  mensaje
+
+PRUEBA/dir1:
+dir11  mensaje
+
+PRUEBA/dir1/dir11:
+
+PRUEBA/dir2:
+mensaje
+
+PRUEBA/dir3:
+dir31  mensaje
+
+PRUEBA/dir3/dir31:
+dir311  dir312
+
+PRUEBA/dir3/dir31/dir311:
+
+PRUEBA/dir3/dir31/dir312:
+    
+   
diff --git a/ALUMNOS/MIA/JUAN_OVIEDO/README.MD b/ALUMNOS/MIA/JUAN_OVIEDO/README.MD
new file mode 100644
index 000000000..2b6919fc5
--- /dev/null
+++ b/ALUMNOS/MIA/JUAN_OVIEDO/README.MD
@@ -0,0 +1,50 @@
+## Hey there 👋, I'm [Juan!](https://github.com/juovma/)
+
+[![Twitter Badge](https://img.shields.io/badge/-Twitter-00acee?style=flat-square&logo=Twitter&logoColor=white)](https://twitter.com/juan_oviedoOK)
+[![Linkedin Badge](https://img.shields.io/badge/-LinkedIn-0e76a8?style=flat-square&logo=Linkedin&logoColor=white)](https://linkedin.com/in/juan-cruz-oviedo-matteini-a86896188)
+[![Instagram Badge](https://img.shields.io/badge/-Instagram-e4405f?style=flat-square&logo=Instagram&logoColor=white)](https://instagram.com/ovjuanc)
+
+### Glad to see you here! &nbsp; ![](https://visitor-badge.glitch.me/badge?page_id=iampavangandhi.iampavangandhi&style=flat-square&color=0088cc)
+
+I am a future data scientist currently doing a Master's Degree in AI in EDEM 🚀. 
+At this moment I'm working as a family doctor for the Public Health in Valencia, Spain. 
+
+I have a passion for problem-solving and pioneering first-principle thinking, driven by purpose and fueled by the challenge of finding solutions.
+
+I'm an explorer of new tech, an avid learner, and a problem-solver at heart. 
+
+Feel free to connect with me @ovjuanc for all things tech or just to say hello! Let's shape the future of tech together. 🌟
+
+
+
+
+<img align="right" height="250" width="375" alt="" src="https://raw.githubusercontent.com/iampavangandhi/iampavangandhi/master/gifs/coder.gif" />
+
+### Talking about Personal Stuff:
+
+- 🛠 &nbsp; I’m currently learning about Python and Linux
+- 🚀 &nbsp; I’m currently exploring Big Data and Machine Learning
+- 👾 &nbsp; Fun fact: Same same but different
+- 📫 &nbsp; Reach me out: ovjuanc@gmail.com.
+
+### My Absolute Favorites:
+
+- 💻 &nbsp; I love exploring new technologies and building cool stuff.
+- 📰 &nbsp; Reading financial's and psicologist's books
+- 🍕 &nbsp; Meetups & Tech Events & Hackathons.
+
+### Languages and Tools:
+
+
+<code><img height="30" src="https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/python/python.png" alt="python"></code>
+
+
+
+
+#
+
+<div align="center">
+
+Thanks for read my profile !
+
+</div>
\ No newline at end of file
diff --git a/PROFESORES/AHORCADO/README.md b/PROFESORES/AHORCADO/README.md
new file mode 100644
index 000000000..984b8d2e2
--- /dev/null
+++ b/PROFESORES/AHORCADO/README.md
@@ -0,0 +1,97 @@
+# AHORCADO
+
+## Descripción
+
+Todos habréis jugado alguna vez al ahorcado con papel y lápiz. En este caso, vamos a hacer una versión digital del juego. El juego consiste en adivinar una palabra, letra a letra. Si se falla una letra, se dibuja una parte del cuerpo del ahorcado. Si se adivina la palabra antes de que se complete el dibujo, se gana. Si se completa el dibujo, se pierde.
+
+Para darle algo de emoción vamos a elegir una serie de palabras para todos que nos servirán para comparar nuestros resultados. A continuación, se muestra una lista de palabras que se pueden utilizar:
+
+**Lista de palabras:**
+
+- MURCIELAGO
+- VIAJE
+- EVADIR
+- ZAPATO
+- CIELO
+- RECREO
+- PIZARRA
+- MATEMATICAS
+- PROGRAMACION
+- ORDENADOR
+
+Y a continuación las normás del juego:
+
+- El juego debe funcionar de manera autónoma, es decir, no se puede pedir al usuario que introduzca las letras, ni la siguiente palabra a adivinar.
+- No se tendrán en cuenta las tildes.
+- El juego no contará con el concepto de vidas, es decir debe continuar hasta adivinar la palabra contando el número de intentos.
+- El juego debe mostrar el número de intentos utilizado en cada palabra y una suma total de los intentos utilizados en todas las palabras.
+
+## Requisitos
+
+El objetivo de este juego es servir de resumen de los conocimientos adquiridos en el curso. Por tanto, se deben utilizar todos los conceptos aprendidos en el curso. En concreto, se deben utilizar los siguientes conceptos que organizaremos como fases:
+
+1. **Fase 1: Codificación**
+
+Durante esta fase el objetivo es codificar la lógica del juego. Por lo que utilizaremos los conocimientos adquiridos de python. El objetivo de esta fase es conseguir un algoritmo que por fuerza bruta (es decir, probando todas las letras, en el orden del abecedario) adivine las palabras.
+
+En esta fase también crearemos la rama de trabajo en el repositorio de github para entregar el código. Esta rama se llamará `e2e-ahorcado-XXXX` siendo XXX vuestro id de usuario en github.
+
+Al finalizar esta fase, deberéis tener un programa con las siguientes características:
+
+- Lea las palabras de un fichero de texto, una por línea
+- Busque cada palabra y retorne los intentos necesarios para adivinarla
+- Se pueda ejecutar con el siguiente comando: `python ahorcado.py palabras.txt`
+
+Si has completado esta fase podemos decir que Github y Python son tus amigos.
+
+2. **Fase 2: Automatización**
+
+Si habéis completado la fase anterior ahora toca automatizar el proceso usando docker. Para ello, debéis crear un `Dockerfile` que contenga todo lo necesario para ejecutar el programa. 
+
+Al finalizar esta fase, deberéis tener un programa con las siguientes características:
+
+- Se pueda construir la imagen de docker con el siguiente comando: `docker build -t ahorcado .`
+- Se pueda ejecutar el contenedor con el siguiente comando: `docker run ahorcado`
+
+Si has completado esta fase podemos decir que Docker es tu amigo.
+
+**EXTRA**: ¿Podrías hacer que palabras.txt sea un parámetro del contenedor?
+
+3. **Fase 3: Almacenaje**
+
+Si has completado la fase anterior ahora toca almacenar el resultado en una base de datos. Para ello, debéis crear un `docker-compose.yml` que contenga un servicio de base de datos y otro con el servicio de la aplicación.
+
+El objetivo de esa fase es que alimentéis una tabla de la base de datos con los intentos necesarios para adivinar las palabras. La tabla debe tener la siguiente estructura:
+
+- palabra: palabra a adivinar
+- letras_acertadas: letras utilizadas para adivinar la palabra
+- letras_falladas: letras falladas en el intento
+- intentos: número de intentos necesarios para adivinar la palabra
+- tiempo: tiempo actual
+
+El resultado final debe ser similar a la siguiente tabla:
+
+| palabra | letras_acertadas | letras_falladas | intentos | tiempo |
+|---------|------------------|-----------------|----------|--------|
+| MURCIELAGO | A |  | 1 | 2021-01-01 12:00:00 |
+| MURCIELAGO | A | B | 2 | 2021-01-01 12:01:00 |
+| MURCIELAGO | AC | B | 3 | 2021-01-01 12:02:00 |
+| MURCIELAGO | AC | BD | 4 | 2021-01-01 12:04:00 |
+| MURCIELAGO | ACE | BD | 5 | 2021-01-01 12:05:00 |
+
+Al finalizar esta fase, deberéis tener un programa con las siguientes características:
+
+- Se pueda construir la imagen de docker con el siguiente comando: `docker-compose up -d`
+- Al arrancar el contenedor se cree la tabla en la base de datos
+- Se alimente la tabla con los intentos necesarios para adivinar las palabras
+
+Si has completado esta fase podemos decir que Docker y MySQL son tus amigos.
+
+4. **Fase 4: Optimización**
+
+Si has completado la fase anterior ahora toca optimizar el proceso. Para ello debéis probar otras estraegias para adivinar las palabras. 
+
+Por ejemplo, 
+
+- ¿Podrías ordenar el array de letras de una manera que adivines la palabra en menos intentos?
+- ¿Podrías predecir si todas las letras son igual de probables basándose en lo que ya sabes?
diff --git a/PROFESORES/APIS/README.md b/PROFESORES/APIS/README.md
new file mode 100644
index 000000000..260a2c21f
--- /dev/null
+++ b/PROFESORES/APIS/README.md
@@ -0,0 +1,28 @@
+# Evaluation Exercise - Create your first API using swagger
+Imagine that you work into industry compony where there is a robot. 
+We have a sensor that is monitoring the temperature of robot via real-time. The measurement is saving into a database.
+Info from sensor;
+- id del sensor - string
+- fechamuestreo - string
+- unidad - string
+- medicion - number
+
+Our api needs create the next methods;
+> /getLastMeassureBySensor/{sensor}:
+sensor -> string
+
+When the methods is successful then this should return;
+Measure
+- code (id del sensor) - string
+- fechamuestreo - string
+- unidad - string
+- medicion - number
+
+When the method is not successful then  this should return;
+404 -> Invalid ID supplied
+400 -> Sensor not found
+
+Steps:
+- Create your yaml
+- Check the format into https://editor.swagger.io/
+
diff --git a/PROFESORES/CHUCK/README.md b/PROFESORES/CHUCK/README.md
new file mode 100644
index 000000000..afecbcbc6
--- /dev/null
+++ b/PROFESORES/CHUCK/README.md
@@ -0,0 +1,39 @@
+![Chuck Norris Logo](https://api.chucknorris.io/img/chucknorris_logo_coloured_small@2x.png)
+
+Ha llegado el momento de sacar la artillería pesada para este ejercicio. Chuck Norris es el único que puede hacer que un hola mundo sea un hola mundo.
+
+Para este ejericio tenemos que conseguir hacer feliz a Chuck norris y para ello debemos de saber exactamente que es lo que le hace feliz. Para ello, debemos de hacer una petición a la API de Chuck Norris y obtener un chiste aleatorio y saber cuáles son las palabras que más le hacen gracia.
+
+Fase 1: NIFI
+
+Para ello, vamos a utilizar Nifi para hacer una petición a la API de Chuck Norris y obtener un chiste aleatorio. Para ello, vamos a utilizar el siguiente endpoint:
+
+https://api.chucknorris.io/jokes/random
+
+Con el resultado debemos navegar al chiste. Este chiste se deben guardar en una base de NOSQL que debemos crear para este ejercicio.
+
+````
+{
+  "categories": [],
+  "created_at": "2020-01-05 13:42:18.823766",
+  "icon_url": "https://api.chucknorris.io/img/avatar/chuck-norris.png",
+  "id": "x5whniztqdancooc9w-ggg",
+  "updated_at": "2020-01-05 13:42:18.823766",
+  "url": "https://api.chucknorris.io/jokes/x5whniztqdancooc9w-ggg",
+  "value": "Chuck Norris invented the bolt-action rifle, liquor, sexual intercourse, and football-- in that order."
+}
+````
+
+FASE 2: PROCESADO EN NIFI con un Script de python
+
+Una vez los datos están en NOSQL, debemos generar una ETL que lea el json y lo guarde en una base de datos SQL donde cada palabra sea una fila y actualicemos el número de apariciones por palabra.
+
+FASE 3: DEBEZIUM
+
+Si hemos llegado hasta aquí, es que hemos conseguido hacer feliz a Chuck Norris. Pero ahora, Chuck Norris quiere que esos datos se repliquen de manera automática en otra base de datos distinta.
+
+- Pregunta: ¿Podemos llegar a las bases de datos de vuestros compañeros?
+
+FASE 4: DASHBOARDS
+
+Chuck Norris quiere que le hagamos un dashboard donde pueda ver en tiempo real las palabras que más le hacen gracia. Para ello, debemos de hacer un dashboard en la herramienta que queramos donde se muestre en tiempo real las palabras que más le hacen gracia.
\ No newline at end of file
diff --git a/PROFESORES/DBT/README.md b/PROFESORES/DBT/README.md
new file mode 100644
index 000000000..bab1ae124
--- /dev/null
+++ b/PROFESORES/DBT/README.md
@@ -0,0 +1,14 @@
+## DBT
+
+### Create two reports
+
+##### 1. Payment  method status
+Create a report “rep_payment_method_status.sql”, to calculate the total amount failed and success per each payment_method.
+
+##### 2. Returned orders
+Create a report “rep_returned_orders” to show the orders returned, the report should include the following columns: order_id - customer_id - order_date - status - first_name	last_name - amount. 
+
+### Deliverables
+
+- 2 screenshots: one from each sql query.
+- 2 screenshots: from PGAdmin where the new table/report is shown (5-10 lines).
diff --git a/PROFESORES/DEMO/.gitkeep b/PROFESORES/DEMO/.gitkeep
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/DOCKER/README.md b/PROFESORES/DOCKER/README.md
new file mode 100644
index 000000000..2bd290194
--- /dev/null
+++ b/PROFESORES/DOCKER/README.md
@@ -0,0 +1,37 @@
+# Contenedores
+
+Para entregar este ejercicio, debes subir el Código generado a vuestro repositorio remoto de GitHub y realizar una Pull Request poniendo a *Jose Luis Gomez (MA-Barracas)* como reviewer.
+
+## Objetivo
+
+Construir una imagen docker que acepte como parámetro dos números e imprima la suma de ambos
+
+
+## Paso a Paso
+
+1. Construir un script en python que acepte dos números como parámetros e imprima el resultado de la suma
+2. Construir una imagen docker que contenga dicho python script
+3. Cuando se ejecute el contendor docker, este debe invocar al script pasando como parámetro ambos números. 
+
+## Ejemplo de invocación
+
+Ejemplo de invocación del contenedor Docker
+
+```
+docker run pysum 3 4
+```
+
+Ejemplo de salida del resultado esperado
+
+```
+Sum: 7 
+```
+
+## Entregable:
+
+- Script the python 
+- dockerfile
+- Captura de pantalla donde se muestra la invocación al contenedor docker y el resultado de la ejecución
+- (Opcional) Link a la imagen docker generada y subida a Docker Hub
+
+
diff --git a/PROFESORES/KAFKA/PostWork/README.md b/PROFESORES/KAFKA/PostWork/README.md
new file mode 100644
index 000000000..3c85b0211
--- /dev/null
+++ b/PROFESORES/KAFKA/PostWork/README.md
@@ -0,0 +1,48 @@
+# Post Work: Data Processing with Kafka end to end.
+
+## Introduction
+**In this exercise you will be implementing a real use case, creating data in real-time and making it available for reporting, by using Kafka.**
+
+
+To do so, 1) create input data, 2) send it to a topic, 3) process it with a Consumer, 4) and then process it with KSQL , 5) and then show the
+result on a termnial creen.
+
+Feel free to exchange step 3) and 4).
+
+
+## The proposed architecture will be the following:
+
+Data source --> Producer sends data to --> Apache Kafka Topic --> Consumer reads data, filters it, process it, modify it and then sends
+the processed data to another -> Apache Kafka Topic --> Process the data with KSQL and put it in another topic --> Consumer reads the data and
+print the final messages on the terminal screen(Visual Estudio)
+
+In any case, feel free to implement the use case using other alternatives, though at least 1) transforming data with a Consumer
+and 2) transforming data with KSQL.
+
+## Use case
+These are typical use cases:
+
+Transaction logging: Purchases, test scores, movies watched and movie latest location
+Tracking pretty much anything including order status, packages, etc.
+Storing health tracker data
+Weather service history
+Internet of things (IoT) status and event history
+You will have to which use case to use, based on the previous list or a new one you choose.
+
+## Tasks
+You will have to perform the following tasks:
+
+## Define your use case
+Define/explain the Target of your application from a Business Point of view.
+Find a dataset
+Define/explain the data model (the json messages to be processed, the intermediate json messages while processing/transforming the data), and the final json message.
+
+## Deliverables
+You will have to provide the following:
+
+Basic explanation of:
+1. Use case
+2.Dataset selected 
+2. Final architecture implemented 
+3. Json examples of your data json model 
+4. **Evidence** of the Application has run end to end providing the expected results. With screenshots of the different step: 1)the ingestion, 2) the processing with a Consumer, 3) the processing with KSQL, the final printing on screen on the expected outcome.
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/docker-compose.yml b/PROFESORES/KAFKA/docker-compose.yml
new file mode 100644
index 000000000..a266b11d0
--- /dev/null
+++ b/PROFESORES/KAFKA/docker-compose.yml
@@ -0,0 +1,150 @@
+---
+version: '3.5'
+services:
+  zookeeper:
+    image: confluentinc/cp-zookeeper:latest
+    environment:
+      ZOOKEEPER_CLIENT_PORT: 2181
+      ZOOKEEPER_TICK_TIME: 2000
+    ports:
+      - 2181:2181
+  kafka: 
+    image: confluentinc/cp-kafka:7.3.3
+    depends_on:
+      - zookeeper
+    ports:
+      - 9092:9092
+    environment:
+      KAFKA_BROKER_ID: 1
+      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
+      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
+      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
+      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
+      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
+  kafka-ui:
+    image: provectuslabs/kafka-ui:latest
+    container_name: kafka-ui-3
+    depends_on:
+      - kafka
+    ports:
+      - "8080:8080"
+    restart: always
+    environment:
+      - KAFKA_CLUSTERS_0_NAME=base
+      - KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:29092
+  ksql-server:
+    image: confluentinc/cp-ksql-server:latest
+    depends_on:
+      - kafka
+    ports:
+      - 8088:8088
+    environment:
+      KSQL_BOOTSTRAP_SERVERS: kafka:29092
+      KSQL_LISTENERS: http://0.0.0.0:8088
+  ksql-cli:
+    image: confluentinc/cp-ksql-cli:latest
+    depends_on:
+      - ksql-server
+    entrypoint: /bin/sh
+    tty: true
+
+  kafka-connect:
+    image: confluentinc/cp-kafka-connect:7.3.3
+    depends_on:
+      - kafka
+      - schema-registry
+      - postgres
+    environment:
+      CONNECT_PLUGIN_PATH: /usr/share/java,/usr/share/confluent-hub-components
+      CONNECT_BOOTSTRAP_SERVERS: kafka:29092
+      CONNECT_REST_ADVERTISED_HOST_NAME: connect
+      CONNECT_GROUP_ID: compose-connect-group
+      CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
+      CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
+      CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
+      CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
+      CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
+      CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
+      CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
+      CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
+      CONNECT_VALUE_CONVERTER: org.apache.kafka.connect.storage.StringConverter
+      CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
+      # CLASSPATH required due to CC-2422
+      CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-7.3.3.jar
+      CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
+      CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
+      CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
+    command:
+      - bash
+      - -c
+      - |
+        confluent-hub install confluentinc/kafka-connect-jdbc:10.7.4
+        /etc/confluent/docker/run
+
+  schema-registry:
+    image: confluentinc/cp-schema-registry:7.3.3
+    hostname: schema-registry
+    container_name: schema-registry
+    depends_on:
+      - kafka
+    ports:
+      - "8081:8081"
+    environment:
+      SCHEMA_REGISTRY_HOST_NAME: schema-registry
+      SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'kafka:29092'
+      SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
+
+
+  control-center:
+    image: confluentinc/cp-enterprise-control-center:7.3.3
+    hostname: control-center
+    container_name: control-center
+    depends_on:
+      - kafka
+      - schema-registry
+      - kafka-connect
+      - ksql-server
+    ports:
+      - "9021:9021"
+    environment:
+      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'kafka:29092'
+      CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'kafka-connect:8083'
+      CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksql-server:8088"
+      CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
+      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
+      CONTROL_CENTER_REPLICATION_FACTOR: 1
+      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
+      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
+      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
+      CONTROL_CENTER_CONNECT_HEALTHCHECK_ENDPOINT: '/connectors'
+      PORT: 9021
+
+  postgres:
+    container_name: postgres_container
+    image: postgres:12.1
+    environment:
+      POSTGRES_USER: ${POSTGRES_USER:-postgres}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-Welcome01}
+      PGDATA: /data/postgres
+    volumes:
+      - postgres:/data/postgres
+    ports:
+      - "5432:5432"
+    restart: unless-stopped
+
+  pgadmin:
+      container_name: pgadmin_container
+      image: dpage/pgadmin4:4.16
+      environment:
+        PGADMIN_DEFAULT_EMAIL: ${PGADMIN_DEFAULT_EMAIL:-pgadmin4@pgadmin.org}
+        PGADMIN_DEFAULT_PASSWORD: ${PGADMIN_DEFAULT_PASSWORD:-admin}
+      volumes:
+        - pgadmin:/root/.pgadmin
+      ports:
+        - "${PGADMIN_PORT:-5050}:80"
+      restart: unless-stopped
+
+
+volumes:
+  postgres:
+  pgadmin:
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/pom.xml b/PROFESORES/KAFKA/pom.xml
new file mode 100644
index 000000000..3ed63634e
--- /dev/null
+++ b/PROFESORES/KAFKA/pom.xml
@@ -0,0 +1,56 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+
+    <groupId>com.gft.dlp.kafka</groupId>
+    <artifactId>lab03</artifactId>
+    <version>1.0-SNAPSHOT</version>
+
+    <properties>
+        <maven.compiler.source>1.8</maven.compiler.source>
+        <maven.compiler.target>1.8</maven.compiler.target>
+    </properties>
+
+    <dependencies>
+        <!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka -->
+        <dependency>
+            <groupId>org.apache.kafka</groupId>
+            <artifactId>kafka_2.13</artifactId>
+            <version>2.4.0</version>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.kafka</groupId>
+            <artifactId>kafka-streams</artifactId>
+            <version>2.4.0</version>
+        </dependency>
+        <dependency>
+            <groupId>com.github.javafaker</groupId>
+            <artifactId>javafaker</artifactId>
+            <version>1.0.2</version>
+        </dependency>
+        <!-- https://mvnrepository.com/artifact/io.confluent/common-utils -->
+        <dependency>
+            <groupId>io.confluent</groupId>
+            <artifactId>common-utils</artifactId>
+            <version>4.1.0</version>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+            <version>1.7.5</version>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-log4j12</artifactId>
+            <version>1.7.5</version>
+        </dependency>
+    </dependencies>
+    <repositories>
+        <repository>
+            <id>confluent</id>
+            <url>https://packages.confluent.io/maven/</url>
+        </repository>
+    </repositories>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_1/HolaMundo.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_1/HolaMundo.java
new file mode 100644
index 000000000..83d4ee03c
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_1/HolaMundo.java
@@ -0,0 +1,12 @@
+package java_tutorial.exercise_1;
+
+/**
+ * Este  programa imprime "Hola Mundo" en la consola.
+ *
+ * Cambia este programa para que impreme hola "Hola desde mi primer ejercicio en Java"
+ */
+public class HolaMundo {
+    public static void main(String[] args) {
+        System.out.println("Hola Mundo");
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_2/VariablesYOperadores.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_2/VariablesYOperadores.java
new file mode 100644
index 000000000..1885fa11b
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_2/VariablesYOperadores.java
@@ -0,0 +1,19 @@
+package java_tutorial.exercise_2;
+
+/**
+ * Programa que declara variables para almacenar un número entero y uno de tipo decimal.
+ * Luego, realiza operaciones básicas como suma, resta.
+ *
+ * Amplía este programa implementando la multiplicación y división
+ */
+public class VariablesYOperadores {
+    public static void main(String[] args) {
+        int numeroEntero = 5;
+        float numeroDecimal = 3.14f;
+
+        System.out.println("Suma: " + (numeroEntero + numeroDecimal));
+        System.out.println("Resta: " + (numeroEntero - numeroDecimal));
+
+    }
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_3/Bucles.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_3/Bucles.java
new file mode 100644
index 000000000..e4f1fb8c6
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_3/Bucles.java
@@ -0,0 +1,15 @@
+package java_tutorial.exercise_3;
+
+/**
+ * Programa que utilice un bucle para imprimir los números del 1 al 10 en la consola.
+ *
+ * Modifica el programa para hacer la tabla de la multiplicación del 8 x 7
+ */
+public class Bucles {
+    public static void main(String[] args) {
+        for (int i = 1; i <= 10; i++) {
+            System.out.println(i);
+        }
+    }
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_4/Condicionales.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_4/Condicionales.java
new file mode 100644
index 000000000..80442a1df
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_4/Condicionales.java
@@ -0,0 +1,26 @@
+package java_tutorial.exercise_4;
+
+import java.util.Scanner;
+
+/**
+ *  programa que solicite al usuario ingresar un número e imprima si es positivo, negativo o cero.
+ *
+ *
+ *  Modifica el programa para que el usario ingrese un número, y si es el 567043 imprime por pantalla
+ *  "Has ganado el premio de Navidad". Sino imprime "Sigue jugando".
+ */
+public class Condicionales {
+    public static void main(String[] args) {
+        Scanner scanner = new Scanner(System.in);
+        System.out.print("Ingrese un número: ");
+        int numero = scanner.nextInt();
+
+        if (numero > 0) {
+            System.out.println("El número es positivo");
+        } else if (numero < 0) {
+            System.out.println("El número es negativo");
+        } else {
+            System.out.println("El número es cero");
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_5/Funciones.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_5/Funciones.java
new file mode 100644
index 000000000..c4f1e2c37
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_5/Funciones.java
@@ -0,0 +1,20 @@
+package java_tutorial.exercise_5;
+
+/**
+ * Define una función que tome dos parámetros y devuelva su suma.
+ * Luego, utiliza esta función en el programa principal.
+ *
+ *
+ * Implementa la función de la división e invócola como ya se hace para la función sumar.
+ */
+public class Funciones {
+    public static void main(String[] args) {
+        int resultado = sumar(3, 5);
+        System.out.println("La suma es: " + resultado);
+    }
+
+    public static int sumar(int a, int b) {
+        return a + b;
+    }
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Aplicacion.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Aplicacion.java
new file mode 100644
index 000000000..b5131b5ff
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Aplicacion.java
@@ -0,0 +1,21 @@
+package java_tutorial.exercise_6;
+
+/**
+ * Aplicación principla que crea un objeto Java, que representa algo del mundo real en Java.
+ * En este caso crea una persoa, e invoca sus métodos.
+ *
+ * Tienes que crear una clase de tipo Empleado, que tenta los atributos "nombre" y "puesto".
+ *
+ * Implementa un método que sea "salario". Si el puesto es contable tiene que devolver "1.500 euros".
+ * Si el puesto es "manager" tiene que que devolver "2.500 euros". Si es otro puesto tiene que devolver
+ * "-1" (así indicamos que es un puesto no reconocido en la empresa).
+ */
+public class Aplicacion {
+
+    public static void main(String[] args) {
+        Persona persona1 = new Persona();
+        persona1.nombre = "Juan";
+        persona1.edad = 25;
+        persona1.mostrarInformacion();
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Persona.java b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Persona.java
new file mode 100644
index 000000000..b16a338d4
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/java_tutorial/exercise_6/Persona.java
@@ -0,0 +1,18 @@
+package java_tutorial.exercise_6;
+
+/**
+ * clase simple que represente un objeto como un automóvil o una persona, como es en este caso.
+ * Y declara atributos y métodos básicos.
+ */
+public class Persona {
+    String nombre;
+    int edad;
+
+    public void mostrarInformacion() {
+        System.out.println("Nombre: " + nombre);
+        System.out.println("Edad: " + edad);
+    }
+
+
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_01_hello_world/README.md b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_01_hello_world/README.md
new file mode 100644
index 000000000..d883d6cb0
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_01_hello_world/README.md
@@ -0,0 +1,142 @@
+# Kafka - Lab 1 
+
+## Objectives
+
+ 1) Run Kafka (and Zookeeper)
+ 2) Check Docker Kafka and Zookeeper status
+ 3) Create a Kafka topic 
+ 4) Produce messages from the command line 
+ 5) Read messages from the command line
+ 6) Produce Messages with keys
+ 7) Explore Kafka web UI
+ 8) Describe the Kafka topic
+
+### Requirements
+
+ * Ensure all other Docker containers are stopped!!
+
+## 1) Run Kafka (and Zookeeper)
+Simple scenario: 1 zookeeper + 1 Kafka broker.
+
+Start the ZooKeeper and Kafka container.
+
+```sh
+docker-compose up -d
+```
+
+## 2) Check Docker Kafka and Zookeeper status
+### Check Kafka
+Status: 
+
+```sh
+docker-compose ps
+      Name                  Command            State                     Ports
+-------------------------------------------------------------------------------------------------
+lab0_kafka_1       /etc/confluent/docker/run   Up      0.0.0.0:9092->9092/tcp
+lab0_zookeeper_1   /etc/confluent/docker/run   Up      0.0.0.0:2181->2181/tcp, 2888/tcp, 3888/tcp
+```
+
+### Check Zookeeper 
+
+Check the ZooKeeper logs to verify that ZooKeeper is healthy.
+
+```sh
+docker-compose logs zookeeper | Select-String binding    #for windows
+docker-compose logs zookeeper | grep -i binding          #for linux
+```
+
+Sample output: 
+
+```sh
+zookeeper    | [2020-02-18 15:49:28,229] INFO binding to port 0.0.0.0/0.0.0.0:2181 (org.apache.zookeeper.server.NIOServerCnxnFactory)
+```
+
+### Check Kafka Broker 
+
+Check the Kafka logs to verify that broker is healthy.
+
+```sh
+docker-compose logs kafka | Select-String started    #for windows
+docker-compose logs kafka | grep -i started          #for linux
+```
+
+Sample output: 
+
+```sh
+kafka_1      | [2020-02-18 16:05:21,153] INFO [SocketServer brokerId=1] Started 2 acceptor threads for data-plane (kafka.network.SocketServer)
+kafka_1      | [2020-02-18 16:05:21,646] DEBUG [ReplicaStateMachine controllerId=1] Started replica state machine with initial state -> Map() (kafka.controller.ZkReplicaStateMachine)
+kafka_1      | [2020-02-18 16:05:21,663] DEBUG [PartitionStateMachine controllerId=1] Started partition state machine with initial state -> Map() (kafka.controller.ZkPartitionStateMachine)
+kafka_1      | [2020-02-18 16:05:21,715] INFO [SocketServer brokerId=1] Started data-plane processors for 2 acceptors (kafka.network.SocketServer)
+kafka_1      | [2020-02-18 16:05:21,727] INFO [KafkaServer id=1] started (kafka.server.KafkaServer)
+```
+
+## 3) Create a Kafka topic
+
+Create a topic named `myTopic`, one partition and one replica.
+
+```sh
+docker-compose exec kafka kafka-topics --create --topic myTopic --partitions 1 --replication-factor 1 --if-not-exists --bootstrap-server localhost:9092
+```
+
+Output: 
+
+```sh
+Created topic myTopic.
+```
+
+## 4) Produce messages from the command line
+
+Produce messages (It is very didactic to execute below command in more than once console at the same time):
+```sh
+docker-compose exec kafka kafka-console-producer --topic myTopic --broker-list localhost:9092
+>hi
+>dlp
+>
+
+```
+
+## 5) Read messages from the command line
+Read topic content (It is very didactic to execute below command in more than once console at the same time):
+
+```sh
+docker-compose exec kafka kafka-console-consumer --topic myTopic --from-beginning --bootstrap-server localhost:9092
+hi
+dlp
+```
+
+## 6) Produce Messages with keys
+Send KEY-VALUES:
+```sh
+docker-compose exec kafka kafka-console-producer --topic myTopic --broker-list localhost:9092 --property "parse.key=true" --property "key.separator=:"
+spain:3
+french:4
+germany:2
+italy:n/a
+```
+
+Open again the consumer to read the values (by default the keys are not visible)
+
+## 7) Explore Kafka web UI
+Open a browser at at http://localhost:8080/
+
+## 8) Describe the Kafka topic
+
+```sh
+docker-compose exec kafka kafka-topics --describe --topic myTopic --bootstrap-server host.docker.internal:9092
+```
+
+Output:
+
+```sh
+Topic: myTopic  PartitionCount: 1       ReplicationFactor: 1    Configs:
+        Topic: myTopic  Partition: 0    Leader: 1       Replicas: 1     Isr: 1
+```
+
+
+## Clean up
+
+Shut down Docker Compose
+
+```sh
+$ docker-compose down
+```
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Consumer.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Consumer.java
new file mode 100644
index 000000000..8c4a8d2ff
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Consumer.java
@@ -0,0 +1,42 @@
+package kafka_tutorial.exercise_02_basic_producer_consumer;
+
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+
+import java.time.Duration;
+import java.util.Arrays;
+
+import java.util.Properties;
+import java.util.UUID;
+
+public class Consumer {
+
+    public static void main(String[] args) {
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", "localhost:9092");
+        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
+        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
+        properties.put("auto.offset.reset", "earliest");
+        properties.put("group.id", "AppIdentifer005");
+
+        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<String, String>(properties);
+
+        //Subscribe
+        kafkaConsumer.subscribe(Arrays.asList("myTopic"));
+
+        try{
+            while (true){
+                ConsumerRecords<String, String> records = kafkaConsumer.poll(Duration.ofMillis(100));
+                for (ConsumerRecord<String, String> record: records){
+                    System.out.println(String.format("Topic - %s, Partition - %d, Value: %s", record.topic(), record.partition(), record.value()));
+                }
+            }
+        }catch (Exception e){
+            System.out.println(e.getMessage());
+        }finally {
+            kafkaConsumer.close();
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Producer.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Producer.java
new file mode 100644
index 000000000..51621a5df
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/Producer.java
@@ -0,0 +1,29 @@
+package kafka_tutorial.exercise_02_basic_producer_consumer;
+
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.clients.producer.ProducerRecord;
+
+import java.util.Properties;
+
+public class Producer {
+
+    public static void main(String[] args){
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", "localhost:9092");
+        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
+        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
+
+        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<String, String>(properties);
+        try{
+            for(int i = 0; i < 100000; i++){
+                Thread.sleep(1000);
+                System.out.println(i);
+                kafkaProducer.send(new ProducerRecord<String, String>("myTopic", Integer.toString(i), "test message - " + i ));
+            }
+        }catch (Exception e){
+            e.printStackTrace();
+        }finally {
+            kafkaProducer.close();
+        }
+    }
+}
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/README.md b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/README.md
new file mode 100644
index 000000000..9b2e60271
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_02_basic_producer_consumer/README.md
@@ -0,0 +1,116 @@
+# Kafka - Lab 2 
+
+## Objectives
+
+ 1) Run Zookeeper + Kafka
+ 2) Produce messages from the command line
+ 3) Read topic content
+ 4) Compile Java Producer and Consumer Apps project
+ 5) Start the Java Consumer App
+ 6) Start the Java Producer App
+ 7) Exercise 1
+ 8) Exercise 2
+ 9) Exercise 3
+
+### Requirements
+
+ * Ensure all other Docker containers are stopped!!
+
+## 1) Run Zookeeper + Kafka
+
+Start the ZooKeeper and Kafka container.
+
+```sh
+$ docker-compose up -d
+```
+
+Status: 
+
+```sh
+$ docker-compose ps
+      Name                  Command            State                     Ports
+-------------------------------------------------------------------------------------------------
+lab1_kafka_1       /etc/confluent/docker/run   Up      0.0.0.0:9092->9092/tcp
+lab1_zookeeper_1   /etc/confluent/docker/run   Up      0.0.0.0:2181->2181/tcp, 2888/tcp, 3888/tcp
+```
+
+## 2) Produce messages from the command line
+
+Run the command line producer:
+
+```sh
+$ docker-compose exec kafka kafka-console-producer --topic myTopic --broker-list localhost:9092
+>hi
+>dlp
+>
+
+```
+
+## 3) Read topic content:
+
+```sh
+$ docker-compose exec kafka kafka-console-consumer --topic myTopic --from-beginning --bootstrap-server localhost:9092
+hi
+dlp
+```
+
+# Java Example
+
+The example is a Maven project. You can import the project as Maven project with your IDE. 
+
+* Producer: The producer will generate 100 messages and send them to the `myTopic`. 
+* Consumer: Consume and log messages from `myTopic`.  
+
+
+## 4) Compile Java Producer and Consumer App project (below actions can be done in IntelliJ IDE)
+```sh
+$ cd kafka-example 
+```
+
+Compile: 
+
+```sh
+$ mvn clean compile
+```
+
+## 5) Start the Consumer (below actions can be done in IntelliJ IDE)
+
+
+Execute the Consumer:
+
+```sh
+$ mvn exec:java -Dexec.mainClass="com.gft.dlp.kafka.ConsumerCloud"
+```
+The consumer will listen and log new messages. Leave it running in the background. 
+
+
+
+## 6) Start the Java Producer App (below actions can be done in IntelliJ IDE)
+
+Execute the Producer:
+
+```sh
+$ mvn exec:java -Dexec.mainClass="com.gft.dlp.kafka.ProducerCloud"
+``` 
+
+
+## 7) Exercise 1
+Send messages from console, and verify they are consumed by the Java Consumer app, and also from the console Consumer
+
+## 8) Exercise 2
+Send messages from the Java Producer app, and verify they are consumed by the Java Consumer app, and also from the console Consumer 
+
+## 9) Exercise 3
+Modify the Java Consumer App to show in also the key of the message, and its Kafka message's offset.
+
+## 10) Exercise 4
+
+* How can the Consumer list on start all the messagges from the topic?  Tip: look up in internet documentation about
+
+### Clean up
+
+Shut down Docker Compose
+
+```sh
+$ docker-compose down
+```
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Consumer_03.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Consumer_03.java
new file mode 100644
index 000000000..4d19f45d9
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Consumer_03.java
@@ -0,0 +1,40 @@
+package kafka_tutorial.exercise_03_kafka_streams;
+
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+
+import java.time.Duration;
+import java.util.Arrays;
+
+import java.util.Properties;
+import java.util.UUID;
+
+public class Consumer_03 {
+
+    public static void main(String[] args) {
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", "localhost:9092");
+        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
+        properties.put("value.deserializer", "org.apache.kafka.common.serialization.LongDeserializer");
+        properties.put("group.id", "stream-output-client");
+
+        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<String, String>(properties);
+
+        kafkaConsumer.subscribe(Arrays.asList("streams-wordcount-output"));
+
+        try{
+            while (true){
+                ConsumerRecords<String, String> records = kafkaConsumer.poll(Duration.ofMillis(100));
+                for (ConsumerRecord<String, String> record: records){
+                    System.out.println(" | " + record.key() + " | " +  String.valueOf(record.value()));
+                }
+            }
+        }catch (Exception e){
+            System.out.println(e.getMessage());
+        }finally {
+            kafkaConsumer.close();
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Producer_01.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Producer_01.java
new file mode 100644
index 000000000..6e459d25f
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/Producer_01.java
@@ -0,0 +1,47 @@
+package kafka_tutorial.exercise_03_kafka_streams;
+
+import com.github.javafaker.Book;
+import com.github.javafaker.Commerce;
+import com.github.javafaker.Faker;
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.clients.producer.ProducerRecord;
+
+import java.util.Properties;
+
+public class Producer_01 {
+
+    public static void main(String[] args){
+        Faker faker = new Faker();
+        for(int i = 0; i < 100000; i++){
+
+
+            System.out.println(faker.artist().name());
+
+            //System.out.println(quote);
+            //kafkaProducer.send(new ProducerRecord<String, String>("quotes-input", quote ));
+        }
+
+
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", "localhost:9092");
+        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
+        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
+
+        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<String, String>(properties);
+
+        try{
+            for(int i = 0; i < 100000; i++){
+                Thread.sleep(100);
+                Book b = faker.book();
+                System.out.println(b.author() + "   " + b.genre()  + "   " + b.publisher()  + "   "  + b.title() );
+                String quote = faker.shakespeare().asYouLikeItQuote();
+                //System.out.println(quote);
+                //kafkaProducer.send(new ProducerRecord<String, String>("quotes-input", quote ));
+            }
+        }catch (Exception e){
+            e.printStackTrace();
+        }finally {
+            kafkaProducer.close();
+        }
+    }
+}
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/README.md b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/README.md
new file mode 100644
index 000000000..171cbffac
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/README.md
@@ -0,0 +1,112 @@
+# Kafka Streams Lab,
+
+## Objectives
+
+ 1) Run Zookeeper + Kafka
+ 2) Produce messages  
+ 3) Process messages with Kafka Streams DSL
+ 4) Output results
+
+### Requirements
+
+ * Docker for Windows
+ * Docker Compose 
+
+## Run
+Simple scenario: 1 zookeeper + 1 Kafka broker.
+
+Start the ZooKeeper and Kafka container.
+
+```sh
+$ docker-compose up -d
+```
+
+Status: 
+
+```sh
+$ docker-compose ps
+      Name                  Command            State                     Ports
+-------------------------------------------------------------------------------------------------
+lab1_kafka_1       /etc/confluent/docker/run   Up      0.0.0.0:9092->9092/tcp
+lab1_zookeeper_1   /etc/confluent/docker/run   Up      0.0.0.0:2181->2181/tcp, 2888/tcp, 3888/tcp
+```
+ 
+### Example Description
+
+The example is a Maven project. You can import the project as Maven project with your IDE. 
+
+* **Shakespeare Quotes Producer**: The producer will generate 1000 Shakespeare quotes messages, using the [Faker API](https://github.com/DiUS/java-faker), and send them to the `quotes-input`. 
+
+ Quote Examples: 
+  * `True is it that we have seen better days.`
+  * `Can one desire too much of a good thing?.`
+
+* **Word Count**: The WordCount, using the high-level [KStream DSL](https://docs.confluent.io/current/streams/developer-guide/dsl-api.html), will compute a simple word occurrence histogram from input quotes. In this example, the input stream reads from a topic named "quotes-input", where the values of messages represent lines of text; and the histogram output is written to topic "streams-wordcount-output", where each record is an updated count of a single word
+
+* **Results Consumer**: The Consumer will output the "streams-wordcount-output" topic messages.
+
+Example: 
+
+```sh
+     | think | 625
+     | he | 625
+     | is | 1852
+     | wise | 1249
+```
+
+### Running
+
+```sh
+$ cd kafka-streams-example 
+```
+
+Compile: 
+
+```sh
+$ mvn clean compile
+```
+
+###  Producer
+
+Execute the Producer:
+
+```sh
+$ mvn exec:java -Dexec.mainClass="com.gft.dlp.kafka.Producer_01"
+``` 
+
+###  WordCount
+
+Execute the processor:
+
+```sh
+$ mvn exec:java -Dexec.mainClass="com.gft.dlp.kafka.WordcountConsumer"
+``` 
+
+###  Consumer
+
+Execute the Consumer:
+
+```sh
+$ mvn exec:java -Dexec.mainClass="com.gft.dlp.kafka.Consumer_03"
+```
+ 
+
+#### Exercises  
+
+* Filter words - Example: Count only words with length > 3
+
+* Filter results - Example: Count > 10000
+
+ 
+
+ 
+
+### Clean up
+
+Shut down Docker Compose
+
+```sh
+$ docker-compose down
+```
+
+
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/WordCountConsumer_02.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/WordCountConsumer_02.java
new file mode 100644
index 000000000..0c670bdf4
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_03_kafka_streams/WordCountConsumer_02.java
@@ -0,0 +1,80 @@
+package kafka_tutorial.exercise_03_kafka_streams;
+
+import org.apache.kafka.common.serialization.Serdes;
+import org.apache.kafka.streams.KafkaStreams;
+import org.apache.kafka.streams.KeyValue;
+import org.apache.kafka.streams.StreamsBuilder;
+import org.apache.kafka.streams.StreamsConfig;
+import org.apache.kafka.streams.kstream.KStream;
+import org.apache.kafka.streams.kstream.KTable;
+import org.apache.kafka.streams.kstream.Produced;
+import io.confluent.common.utils.TestUtils;
+
+import java.util.Arrays;
+import java.util.Properties;
+import java.util.regex.Pattern;
+
+public class WordCountConsumer_02 {
+
+    static final String INPUT_TOPIC = "quotes-input";
+    static final String OUTPUT_TOPIC = "streams-wordcount-output";
+
+    /**
+     * The Streams application as a whole can be launched like any normal Java application that has a `main()` method.
+     */
+    public static void main(final String[] args) {
+        final String bootstrapServers = args.length > 0 ? args[0] : "localhost:9092";
+        final Properties streamsConfiguration = getStreamsConfiguration(bootstrapServers);
+        final StreamsBuilder builder = new StreamsBuilder();
+        createWordCountStream(builder);
+        final KafkaStreams streams = new KafkaStreams(builder.build(), streamsConfiguration);
+        streams.cleanUp();
+        streams.start();
+        Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
+    }
+
+    /**
+     * Configure the Streams application.
+     * <p>
+     * Various Kafka Streams related settings are defined here such as the location of the target Kafka cluster to use.
+     * Additionally, you could also define Kafka Producer and Kafka Consumer settings when needed.
+     *
+     * @param bootstrapServers Kafka cluster address
+     * @return Properties getStreamsConfiguration
+     */
+    static Properties getStreamsConfiguration(final String bootstrapServers) {
+        final Properties streamsConfiguration = new Properties();
+        streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "wordcount-example");
+        streamsConfiguration.put(StreamsConfig.CLIENT_ID_CONFIG, "wordcount-example-client");
+        streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
+        streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
+        streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
+        streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 10 * 1000);
+        streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
+        streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getAbsolutePath());
+        return streamsConfiguration;
+    }
+
+    /**
+     * Define the processing topology for Word Count.
+     *
+     * @param builder StreamsBuilder to use
+     */
+    static void createWordCountStream(final StreamsBuilder builder) {
+        final KStream<String, String> textLines = builder.stream(INPUT_TOPIC);
+        final Pattern pattern = Pattern.compile("\\W+", Pattern.UNICODE_CHARACTER_CLASS);
+        final KTable<String, Long> wordCounts = textLines
+                .map(((key, value) -> {
+                        System.out.println (" VALUE " + value);
+                        return KeyValue.pair(key, value);
+                }))
+                .flatMapValues(value -> Arrays.asList(pattern.split(value.toLowerCase())))
+                .groupBy((keyIgnored, word) -> word)
+                .count();
+
+        wordCounts.toStream().to(OUTPUT_TOPIC, Produced.with(Serdes.String(), Serdes.Long()));
+
+    }
+
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Order.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Order.java
new file mode 100644
index 000000000..f0e834a47
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Order.java
@@ -0,0 +1,82 @@
+package kafka_tutorial.exercise_04_ksql;
+
+import java.util.Date;
+
+public class Order {
+
+    private String orderId;
+    private int customerId;
+    private String product;
+    private int amount;
+    private double price;
+    private Date orderedAt;
+
+    public Order(String orderId, int customerId, String product, int amount, double price, Date orderedAt) {
+        this.orderId = orderId;
+        this.customerId = customerId;
+        this.product = product;
+        this.amount = amount;
+        this.price = price;
+        this.orderedAt = orderedAt;
+    }
+
+    public String getOrderId() {
+        return orderId;
+    }
+
+    public int getCustomerId() {
+        return customerId;
+    }
+
+    public String getProduct() {
+        return product;
+    }
+
+    public int getAmount() {
+        return amount;
+    }
+
+    public double getPrice() {
+        return price;
+    }
+
+    public Date getOrderedAt() {
+        return orderedAt;
+    }
+
+    public void setOrderId(String orderId) {
+        this.orderId = orderId;
+    }
+
+    public void setCustomerId(int customerId) {
+        this.customerId = customerId;
+    }
+
+    public void setProduct(String product) {
+        this.product = product;
+    }
+
+    public void setAmount(int amount) {
+        this.amount = amount;
+    }
+
+    public void setPrice(double price) {
+        this.price = price;
+    }
+
+    public void setOrderedAt(Date orderedAt) {
+        this.orderedAt = orderedAt;
+    }
+
+    @Override
+    public String toString() {
+        return "Order{" +
+                "orderId='" + orderId + '\'' +
+                ", customerId='" + customerId + '\'' +
+                ", product='" + product + '\'' +
+                ", amount=" + amount +
+                ", price=" + price +
+                ", orderedAt=" + orderedAt +
+                '}';
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/OrderJsonSerializer.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/OrderJsonSerializer.java
new file mode 100644
index 000000000..f30a7e547
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/OrderJsonSerializer.java
@@ -0,0 +1,21 @@
+package kafka_tutorial.exercise_04_ksql;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import org.apache.kafka.common.serialization.Serializer;
+
+public class OrderJsonSerializer implements Serializer {
+
+    @Override
+    public byte[] serialize(String s, Object o) {
+        byte[] retVal = null;
+        ObjectMapper objectMapper = new ObjectMapper();
+        try {
+            retVal = objectMapper.writeValueAsString(o).getBytes();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        return retVal;
+    }
+
+}
+
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Producer.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Producer.java
new file mode 100644
index 000000000..33f19f2be
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/Producer.java
@@ -0,0 +1,42 @@
+package kafka_tutorial.exercise_04_ksql;
+
+import com.github.javafaker.Faker;
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.clients.producer.ProducerRecord;
+
+import java.text.NumberFormat;
+import java.util.Locale;
+import java.util.Properties;
+import java.util.UUID;
+import java.util.concurrent.TimeUnit;
+
+public class Producer {
+
+    public static void main(String[] args){
+        Properties properties = new Properties();
+        properties.put("bootstrap.servers", "localhost:9092");
+        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
+        properties.put("value.serializer", "kafka_tutorial.exercise_04_ksql.OrderJsonSerializer");
+
+        KafkaProducer<String, Order> kafkaProducer = new KafkaProducer<String, Order>(properties);
+        Faker faker = new Faker();
+        try{
+            NumberFormat format = NumberFormat.getInstance(Locale.FRENCH);
+            while(true){
+                Thread.sleep(1000);
+                Order order = new Order (UUID.randomUUID().toString(),
+                        faker.number().numberBetween(1,5),
+                        faker.commerce().productName(),
+                        faker.number().numberBetween(1,100),
+                        format.parse(faker.commerce().price()).doubleValue(),
+                        faker.date().past(10, TimeUnit.DAYS));
+                System.out.println(order);
+                kafkaProducer.send(new ProducerRecord<String, Order>("orders", order.getOrderId(), order ));
+            }
+        }catch (Exception e){
+            e.printStackTrace();
+        }finally {
+            kafkaProducer.close();
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/README.md b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/README.md
new file mode 100644
index 000000000..9507c6344
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_04_ksql/README.md
@@ -0,0 +1,160 @@
+# KSQL Lab
+
+## Objectives
+
+### Requirements
+
+* Docker for Windows
+* Docker Compose
+
+## Quick theoretical Kafka intro
+Streams vs Tables. Below link explains the difference. Thouh in next exercises we will use a different use case.
+https://developer.confluent.io/courses/ksqldb/streams-and-tables/#:~:text=Streams%20are%20unbounded%20series%20of,want%20to%20use%20the%20data.
+
+## Java App
+
+Compile and execute the Producer Java App. That will create a topic, and send messages to it.
+
+## Run
+
+Simple scenario: 1 zookeeper + 1 Kafka broker.
+
+Start the ZooKeeper and Kafka container.
+
+```sh
+docker-compose up -d
+```
+
+```sh
+docker-compose exec ksql-cli ksql http://host.docker.internal:8088
+```
+
+docker-compose exec ksql-cli bash -c 'echo -e "\n\n⏳ Waiting for KSQL to be available before launching CLI\n"; while [ $(curl -s -o /dev/null -w %{http_code} http://ksql-server:8088/) -eq 000 ] ; do echo -e $(date) "KSQL Server HTTP state: " $(curl -s -o /dev/null -w %{http_code} http://ksql-server:8088/) " (waiting for 200)" ; sleep 5 ; done; ksql http://ksql-server:8088'
+
+⏳ Waiting for KSQL to be available before launching CLI
+
+      ===========================================
+      =        _  __ _____  ____  _             =
+      =       | |/ // ____|/ __ \| |            =
+      =       | ' /| (___ | |  | | |            =
+      =       |  <  \___ \| |  | | |            =
+      =       | . \ ____) | |__| | |____        =
+      =       |_|\_\_____/ \___\_\______|       =
+      =                                         =
+      =  Streaming SQL Engine for Apache Kafka® =
+      ===========================================
+Copyright 2017-2019 Confluent Inc.
+
+CLI v5.4.1, Server v<unknown> located at http://ksql-server:8088
+
+https://docs.confluent.io/current/ksql/docs/developer-guide/syntax-reference.html
+
+```sql
+ksql>  SET 'auto.offset.reset' = 'earliest';
+```
+```sql
+ksql> SHOW TOPICS;
+```
+```
+Kafka Topic  | Partitions | Partition Replicas
+------------------------------------------------
+ orders | 1          | 1
+------------------------------------------------
+```
+```sql
+ksql> PRINT 'orders' FROM BEGINNING;
+```
+```sql
+ksql> CREATE STREAM orders_stream
+  (orderedAt BIGINT,
+   customerId BIGINT,
+   amount BIGINT,
+   price DOUBLE,
+   product VARCHAR)
+   WITH (KAFKA_TOPIC='orders',
+        VALUE_FORMAT='JSON',
+        TIMESTAMP='orderedAt');
+```
+```sh
+ Message
+----------------
+ Stream created
+----------------
+```
+```sql
+ksql> SELECT * FROM orders_stream WHERE customerId = 1 EMIT CHANGES;
+```
+```sql
+ksql> SELECT customerId,
+         count(*)
+  FROM orders_stream
+  GROUP BY customerId
+  EMIT CHANGES;
+```
+```
+-------------------------------------------------------------------------------------
+| CUSTOMERID                   |    KSQL_COL_1                                      |
+-------------------------------------------------------------------------------------
+| 2                            | 704                                                |
+| 4                            | 1141                                               |
+| 3                            | 788                                                |
+| 1                            | 367                                          
+```
+```
+ Message
+----------------------------------------------------------
+ Source `ORDERS_STREAM` (topic: orders) was dropped.
+----------------------------------------------------------
+```
+```sql
+ksql> CREATE TABLE orders_by_customer AS
+  SELECT customerId,
+         count(*)
+  FROM orders_stream
+  GROUP BY customerId
+  EMIT CHANGES;
+```
+```
+ Message
+---------------------------------------------------------------------------------------------------------
+ Table ORDERS_BY_CUSTOMER created and running. Created by query with query ID: CTAS_ORDERS_BY_CUSTOMER_1
+---------------------------------------------------------------------------------------------------------
+
+
+ Table Name         | Kafka Topic        | Format | Windowed
+-------------------------------------------------------------
+ ORDERS_BY_CUSTOMER | ORDERS_BY_CUSTOMER | JSON   | false
+-------------------------------------------------------------
+
+```
+```sql
+ksql> select * from orders_by_customer emit changes;
+```
+```
+-----------------------------------------------------------------------------------------------------------------------------------------------------
+|ROWTIME                             |ROWKEY                              |CUSTOMERID                          |KSQL_COL_1                          |
+-----------------------------------------------------------------------------------------------------------------------------------------------------
+|1584199961874                       |1                                   |1                                   |245                                 |
+|1584209859996                       |2                                   |2                                   |477                                 |
+|1584211766419                       |4                                   |4                                   |757                                 |
+|1584211668855                       |3                                   |3                                   |521                                 |
+
+Query terminated
+
+```
+
+### If you want to know more
+https://ksqldb.io/examples.html
+
+### Clean up
+
+```sh
+ksql> DROP STREAM ORDERS
+```
+
+Shut down Docker Compose
+
+```sh
+$ docker-compose down
+```
+
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ConsumerCloud.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ConsumerCloud.java
new file mode 100644
index 000000000..125e9a6ce
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ConsumerCloud.java
@@ -0,0 +1,53 @@
+package kafka_tutorial.exercise_05_confluent_cloud;
+
+import org.apache.kafka.clients.consumer.*;
+import java.time.Duration;
+import java.util.Arrays;
+import java.util.Properties;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+public class ConsumerCloud {
+
+    public static Properties loadConfig(final String configFile) throws IOException {
+        if (!Files.exists(Paths.get(configFile))) {
+            throw new IOException(configFile + " not found.");
+        }
+        final Properties cfg = new Properties();
+        try (InputStream inputStream = new FileInputStream(configFile)) {
+            cfg.load(inputStream);
+        }
+        return cfg;
+    }
+
+    public static void main(String[] args) {
+        Properties props = null;  // Declare props here
+        try {
+            props = loadConfig("client.properties");
+            props.put(ConsumerConfig.GROUP_ID_CONFIG, "kafka-java-getting-started");
+            props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
+
+            KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(props);
+            kafkaConsumer.subscribe(Arrays.asList("topic_java"));
+
+            while (true) {
+                ConsumerRecords<String, String> records = kafkaConsumer.poll(Duration.ofMillis(100));
+                for (ConsumerRecord<String, String> record : records) {
+                    System.out.printf("key = %s, value = %s%n", record.key(), record.value());
+                }
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+            System.err.println("Failed to load configuration file.");
+        } finally {
+            if (props != null) {  // Check if props is not null before trying to create a KafkaConsumer
+                try (KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(props)) {
+                    kafkaConsumer.close();
+                }
+            }
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ProducerCloud.java b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ProducerCloud.java
new file mode 100644
index 000000000..d35fc8254
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/ProducerCloud.java
@@ -0,0 +1,47 @@
+package kafka_tutorial.exercise_05_confluent_cloud;
+
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.clients.producer.ProducerRecord;
+
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.Properties;
+
+public class ProducerCloud {
+
+    public static Properties loadConfig(final String configFile) throws IOException {
+        if (!Files.exists(Paths.get(configFile))) {
+            throw new IOException(configFile + " not found.");
+        }
+        final Properties cfg = new Properties();
+        try (InputStream inputStream = new FileInputStream(configFile)) {
+            cfg.load(inputStream);
+        }
+        return cfg;
+    }
+
+    public static void main(String[] args){
+        try {
+            final Properties props = loadConfig("client.properties");
+
+            KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(props);
+            try{
+                for(int i = 0; i < 100; i++){
+                    int value = i*4;
+                    System.out.println(i);
+                    kafkaProducer.send(new ProducerRecord<String, String>("topic_java", Integer.toString(i), "test message - " + value));
+                }
+            } catch (Exception e){
+                e.printStackTrace();
+            } finally {
+                kafkaProducer.close();
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+            System.err.println("Failed to load configuration file.");
+        }
+    }
+}
diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/README_CLOUD.md b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/README_CLOUD.md
new file mode 100644
index 000000000..261a881ed
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/README_CLOUD.md
@@ -0,0 +1,159 @@
+# EXCERCISES KAFKA  2023
+
+The following excercises cover the basic use of Kafka using Java. Since Kafka is designed to be used with Java, the Python API is not as complete as the Java one. For this reason, the excercise related to kafka streams will be done using Java.
+
+## EXCERCISE 1
+
+This excercise can be done using two different environments: a docker-compose environment or the environment provided by Confluent Cloud. We will start by using the Confluent Cloud environment, as its configuration is not hardware dependent and it is easier to use.
+
+### Confluent Cloud
+
+**Steps:**
+
+1. Create a Confluent Cloud account. You can use the free trial, which will be enough for this excercise. You can create an account [here](https://confluent.cloud/signup). We will use the Sign Up with Google option, but you can choose whichever you prefer.
+   ![images/imgage1.png](images/image1.png)
+
+2. Provide your full name and as a company write "EDEM" or "GFT". Click on Next.
+ ![images/imgage1.png](images/image1.png)
+
+3. In the next screen, select the options that describe your expertise with Kafka best. Click on Next.
+   ![images/imgage3.png](images/image3.png)
+
+4. Now we can configure the cluster that will be used for this excercise. Choose Google Cloud as the cloud provided and Madrid as the region. Leave the name as "cluster_0". Click on Next.
+   ![images/imgage4.png](images/image4.png)
+
+5. The next screen is for configuring the billing. However, you **don't need to include any payment information**. Just click on Skip at the bottom left of the screen.
+   ![images/imgage5.png](images/image5.png)
+
+6. Now the environment is created and you can click on "keep exploring on my own".
+   ![images/imgage6.png](images/image6.png)
+
+7. We will now create the topic to which we will send the messages. Click on the "Topics" tab on the left side of the screen and then click on "Create Topic".
+   ![images/imgage7.png](images/image7.png)
+
+8. Change the Topic name to "topic_java" and the Partitions to 1. Click on Create with defaults.
+   ![images/imgage8.png](images/image8.png)
+
+9. Now the topic has been created. Confluent allows now to define a schema for the messages, but for this excercise we will not use it. Click on Skip for now.
+   ![images/imgage9.png](images/image9.png)
+
+After this step the environment is ready to be used. We will now create a producer and a consumer to send and receive messages. 
+
+10. In case you want to try the Java excercise, you should also create a topic called "topic_java" following the same steps as before (steps 7-9).
+
+<br>
+
+#### **Java**
+
+(An appropriate Java environment is required to run this excercise. Usually, IntelliJ is used for this purpose.)
+
+*Steps:*
+
+0. Create a Topic following the steps  name to "topic_java" and the Partitions to 1. Click on Create with defaults.
+1. Open the file `client.properties` located in the directory `ConfluentCloud/Java/1-kafka-producer-consuer-api`. Now, we have to replace the lines of that file with the ones generated for our Java connector by Confluent Cloud. To do so, click on the "Connectors" tab on the left side of the screen and then search "Java". Click on "Connect with Java".
+
+<p align="center">
+<img src="images/image14.png" width=1000px>
+</p>
+
+2. Click on "Create Kafka Cluster API key" to get the Key and secrets for your client.properties file. Then click on continue in the pop-up window that appears:
+
+<p align="center">
+<img src="images/image15.png" width=1000px>
+</p>
+
+3. Copy only the highlighted lines into the client.properties file:
+
+<p align="center">
+<img src="images/image16.png" width=1000px>
+</p>
+
+4. Now we will launch the message producer which code is implemented in the file called `producer.py`. You can open the file to have a look at it. To launch the producer you should first build the project in IntelliJ and then run the class `Producer`.
+
+You should see an output like:
+
+```sh
+83
+84
+85
+86
+87
+88
+89
+90
+91
+92
+93
+94
+95
+96
+97
+98
+99
+
+Process finished with exit code 0
+```
+
+You can also see the messages in the Confluent Cloud UI. To do so just click on the Topics button on the left bar, click on the topic name and then select messages. You should sort them by "Jump to offset" and write 0 in the search bar to select partition 0 of the topic.
+
+<p align="center">
+<img src="images/image17.png" width=600px>
+</p>
+
+5. To consume the message, there is a script called `consumer.py` that connects to the Kafka broker deployed on Confluent Cloud and gets the messages by the earliest offset. To run the consumer you can run the class `Consumer`.
+
+You should see an output like the following:
+
+```sh
+key = 85, value = test message - 340
+key = 86, value = test message - 344
+key = 87, value = test message - 348
+key = 88, value = test message - 352
+key = 89, value = test message - 356
+key = 90, value = test message - 360
+key = 91, value = test message - 364
+key = 92, value = test message - 368
+key = 93, value = test message - 372
+key = 94, value = test message - 376
+key = 95, value = test message - 380
+key = 96, value = test message - 384
+key = 97, value = test message - 388
+key = 98, value = test message - 392
+key = 99, value = test message - 396
+```
+
+
+{
+"name": "sourcePostgresql",
+"config":{
+"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
+"task.max": "1",
+"connection.url": "jdbc:postgresql://postgres:5432/postgres",
+"connection.user": "postgres",
+"connection.password": "Welcome01",
+"topic.prefix": "xflight",
+"validate.none.null": "false",
+"mode": "incrementing",
+"incrementing.column.name": "id",
+"table.whitelist": "aeroplane"
+}
+}
+
+
+{
+"name": "conectorSink",
+"config":{
+"connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
+"connection.url": "jdbc:postgresql://localhost:5432/dvdrental",
+"connection.user": "postgres",
+"connection.password": "Welcome01",
+"topics": "test1",
+"insert.mode": "UPSERT",
+"db.timezone": "UTC",
+"auto.create": "true",
+"auto.evolve": "true",
+"pk.mode": "record_value",
+"pk.fields": "customer_id",
+"tasks.max": "1"
+}
+}
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diff --git a/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/pom.xml b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/pom.xml
new file mode 100644
index 000000000..9f9a6420e
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/java/kafka_tutorial/exercise_05_confluent_cloud/pom.xml
@@ -0,0 +1,67 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+
+    <groupId>com.gft.dlp.kafka</groupId>
+    <artifactId>kafka-java-getting-started</artifactId>
+    <version>0.0.1</version>
+
+    <properties>
+        <maven.compiler.source>8</maven.compiler.source>
+        <maven.compiler.target>8</maven.compiler.target>
+    </properties>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-nop</artifactId>
+            <version>1.7.36</version>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.kafka</groupId>
+            <artifactId>kafka-clients</artifactId>
+            <version>3.3.1</version>
+        </dependency>
+    </dependencies>
+
+    <repositories>
+        <repository>
+            <id>confluent</id>
+            <url>https://packages.confluent.io/maven</url>
+        </repository>
+    </repositories>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-jar-plugin</artifactId>
+                <version>3.1.0</version>
+                <configuration>
+                    <archive>
+                        <manifest>
+                            <addClasspath>true</addClasspath>
+                            <mainClass>examples.ProducerExample</mainClass>
+                            <classpathPrefix>lib/</classpathPrefix>
+                        </manifest>
+                    </archive>
+                </configuration>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-shade-plugin</artifactId>
+                <version>3.2.1</version>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>shade</goal>
+                        </goals>
+                        <configuration>
+                            <finalName>kafka-java-getting-started</finalName>
+                        </configuration>
+                    </execution>
+                </executions>
+            </plugin>
+        </plugins>
+    </build>
+</project>
diff --git a/PROFESORES/KAFKA/src/main/python/.vscode/settings.json b/PROFESORES/KAFKA/src/main/python/.vscode/settings.json
new file mode 100644
index 000000000..b881eff7b
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "python.analysis.autoImportCompletions": true
+}
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise1/README.md b/PROFESORES/KAFKA/src/main/python/exercise1/README.md
new file mode 100644
index 000000000..3a7f0be29
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise1/README.md
@@ -0,0 +1,25 @@
+# Exercise 1: Confluent Kafka Cloud - Login
+
+Create an account into Confluent Kafka Cloud.
+
+## Confluent Cloud
+
+**Steps:**
+
+1. Create a Confluent Cloud account. You can use the free trial, which will be enough for this excercise. You can create an account [here](https://confluent.cloud/signup). We will use the Sign Up with Google option, but you can choose whichever you prefer.
+   ![images/imgage1.png](images/image1.png)
+
+2. Provide your full name and as a company write "EDEM" or "GFT". Click on Next.
+ ![images/imgage1.png](images/image1.png)
+
+3. In the next screen, select the options that describe your expertise with Kafka best. Click on Next.
+   ![images/imgage3.png](images/image3.png)
+
+4. Now we can configure the cluster that will be used for this excercise. Choose Google Cloud as the cloud provided and Madrid as the region. Leave the name as "cluster_0". Click on Next.
+   ![images/imgage4.png](images/image4.png)
+
+5. The next screen is for configuring the billing. However, you **don't need to include any payment information**. Just click on Skip at the bottom left of the screen.
+   ![images/imgage5.png](images/image5.png)
+
+6. Now the environment is created and you can click on "keep exploring on my own".
+   ![images/imgage6.png](images/image6.png)
\ No newline at end of file
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diff --git a/PROFESORES/KAFKA/src/main/python/exercise2/README.md b/PROFESORES/KAFKA/src/main/python/exercise2/README.md
new file mode 100644
index 000000000..95757e3dc
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise2/README.md
@@ -0,0 +1,10 @@
+# Exercise 2: Confluent Kafka Cloud - Create a Kafka Topic and send messages.
+
+# Taret
+Create your first Kafka Topic, send messages to it manually. And create an automtic 
+radom data generator of messages, which are sent to this Kafka Topic.
+
+## Excersise
+Click on Learn button and select first option "Confluent Cloud". Follow the tutorial.
+
+![img_1.png](img_1.png)
\ No newline at end of file
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diff --git a/PROFESORES/KAFKA/src/main/python/exercise3/README.md b/PROFESORES/KAFKA/src/main/python/exercise3/README.md
new file mode 100644
index 000000000..ed3436372
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise3/README.md
@@ -0,0 +1,75 @@
+# Exercise 3: Python App to Cloud
+
+## Target
+Send messages from your computer, from a Python App, messages to Confluent Kafka Cloud.
+
+## Steps
+
+We will now create the topic to which we will send the messages. Click on the "Topics" tab on the left side of the screen and then click on "Create Topic".
+   ![images/imgage1.png](images/image1.png)
+
+<br><br>
+
+Change the Topic name to "topic_python" and the Partitions to 1. Click on Create with defaults.
+   ![images/imgage2.png](images/image2.png)
+
+
+## Python App
+
+### Python libraries installation
+Before running the example, you need to install the python kafka client library:
+
+```sh
+$ pip install kafka-python
+$ pip install confluent_kafka
+```
+<br><br>
+
+### Set up Python credentials from Confluent Cloud
+Click "Learn" button. Then Click on Python image.
+![images/imgage3.png](images/image3.png)
+
+<br><br>
+
+Once you choose an environment/cluser. you will be shown a screen with instructions. You only need generate a new API 
+access key:
+![images/imgage4.png](images/image4.png)
+
+<br><br>
+Enter a description and save the credentials in your computer.
+![images/imgage5.png](images/image5.png)
+
+
+<br><br>
+
+### Modify Apo Python to use your new API credentials
+Modify the file client.properties and put your credentials.
+![img.png](images/image6.png)
+
+### Run the python scripts 
+Execute the Consumer: run the script consumer.py
+Execute the Producer: run the script producer.py
+
+
+#### More Exercises 
+
+##### Exercise 3.1
+* Modify the python Producer script (producer.py) and send different messages. Verify in the Confluent topic's Cloud
+* and in the Python Consumer App that the new messages arrive.
+
+##### Exercise 3.2
+* Use a messages more complex than a String. For example a JSON message like this one => {"name":"John", "age": 26} 
+where you can increment the message JSON attribute "age" number in each sent message.
+
+##### Exercise 3.3
+* Create a new topic in Confluen Cloud. Adapt the Produce and Consumer Python Apps to use this new topic. Test it 
+* end to end.
+
+##### Exercise 3.4 TEAM WORK :)!!!!!
+* Make a Development Team composed by 2-3 colleagues. From each of your computer run the Python Producer Application to
+* just ONLY ONE Cloud server. To do that, you will need to use the same API credentials. Verify that you can see in the
+* Cloud how the messages from different computers are arriving. 
+* 
+*Then start in the different computers the Consumer, and verify you read messages in your computer produced by other 
+colleagues in their computers.
+
diff --git a/PROFESORES/KAFKA/src/main/python/exercise3/client.properties b/PROFESORES/KAFKA/src/main/python/exercise3/client.properties
new file mode 100644
index 000000000..b4d63bb64
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise3/client.properties
@@ -0,0 +1,13 @@
+
+############# COPY BELOW THE LINES FROM CONFLUENT CLOUD UI #####################
+
+# Required connection configs for Kafka producer, consumer, and admin
+bootstrap.servers=pkc-mxqvx.europe-southwest1.gcp.confluent.cloud:9092
+security.protocol=SASL_SSL
+sasl.mechanisms=PLAIN
+sasl.username=ZXYB6NK4BP6UOWCL
+sasl.password=HdfsYdnGmiEdhswCbAGc6TO1RfU7xy1ScJENyOC9CeSdYhEPmAO6gCxkrJuERfha
+
+#################################################################################
+
+
diff --git a/PROFESORES/KAFKA/src/main/python/exercise3/consumer.py b/PROFESORES/KAFKA/src/main/python/exercise3/consumer.py
new file mode 100644
index 000000000..b968741d4
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise3/consumer.py
@@ -0,0 +1,33 @@
+from kafka import KafkaConsumer
+from json import loads
+
+from confluent_kafka import Consumer
+
+
+def read_ccloud_config(config_file):
+    conf = {}
+    with open(config_file) as fh:
+        for line in fh:
+            line = line.strip()
+            if len(line) != 0 and line[0] != "#":
+                parameter, value = line.strip().split('=', 1)
+                conf[parameter] = value.strip()
+    return conf
+
+
+props = read_ccloud_config("exercise3/client.properties")
+props["group.id"] = "python-group-1"
+props["auto.offset.reset"] = "earliest"
+
+consumer = Consumer(props)
+consumer.subscribe(["ARBOLES"])
+
+try:
+    while True:
+        msg = consumer.poll(1.0)
+        if msg is not None and msg.error() is None:
+            print("key = {key:12} value = {value:12}".format(key=msg.key().decode('utf-8'), value=msg.value().decode('utf-8')))
+except KeyboardInterrupt:
+    pass
+finally:
+    consumer.close()
\ No newline at end of file
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diff --git a/PROFESORES/KAFKA/src/main/python/exercise3/producer.py b/PROFESORES/KAFKA/src/main/python/exercise3/producer.py
new file mode 100644
index 000000000..71f611bf4
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise3/producer.py
@@ -0,0 +1,42 @@
+from json import dumps
+from confluent_kafka import Producer
+import time
+
+
+
+def read_ccloud_config(config_file):
+    conf = {}
+    with open(config_file) as fh:
+        for line in fh:
+            line = line.strip()
+            if len(line) != 0 and line[0] != "#":
+                parameter, value = line.strip().split('=', 1)
+                conf[parameter] = value.strip()
+    return conf
+
+
+
+producer = Producer(read_ccloud_config("exercise3/client.properties"))
+
+
+# Send 100 messages where the key is the index and the message to send is "test message - index"
+# the topic name is myTopic
+
+topic_kafka = 'ARBOLES'
+
+for e in range(100):
+    data = {'New message - ': e*4}
+    data_str = dumps(data)  # Serialize dictionary to a string
+    data_bytes = data_str.encode('utf-8')  # Encode string to bytes
+    key = str(e).encode('utf-8')
+    producer.produce(topic=topic_kafka, value=data_bytes, key=key)  # Send bytes
+    print("Sending data: {} to topic {}".format(data, topic_kafka))
+    time.sleep(3)
+
+# After your loop where you send messages:
+producer.flush()
+
+# Optionally, you can check if there are any messages that failed to be delivered:
+if producer.flush() != 0:
+    print("Some messages failed to be delivered")
+
diff --git a/PROFESORES/KAFKA/src/main/python/exercise4/README.md b/PROFESORES/KAFKA/src/main/python/exercise4/README.md
new file mode 100644
index 000000000..53c428944
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise4/README.md
@@ -0,0 +1,77 @@
+# Exercise 4: Python App to Kakfa running in Docker
+
+## Objectives
+
+1) Run Zookeeper + Kafka
+2) Produce messages from the command line
+3) Consume/Read messages from the command line
+4) Produce messages from a Python application.
+5) Consume/Read messages from a Python application.
+6) Modify the Python Producer and/or Consumer Python application.
+
+
+## Run Kafka in your computer with Docker
+Simple scenario: 1 zookeeper + 1 Kafka broker.
+
+Start the ZooKeeper and Kafka container.
+To execute below command, make sure you open the terminal under the folder "exercise4/"
+
+```sh
+docker-compose up -d
+```
+
+
+Using the terminal create the topic 'ventas'
+
+```sh
+docker-compose exec kafka kafka-topics --create --topic ventas --partitions 1 --replication-factor 1 --if-not-exists --bootstrap-server localhost:9092
+```
+
+## Command Line: Producer
+Produce messsages from the command line
+```sh
+docker-compose exec kafka kafka-console-producer --topic ventas --broker-list localhost:9092
+```
+
+Send messages from the terminal.
+
+## Command Line: Consumer
+**Open TWO new console** and Consume the  topic content, executing below command on each new console:
+
+```sh
+docker-compose exec kafka kafka-console-consumer --topic ventas --from-beginning --bootstrap-server localhost:9092
+```
+
+## Do this exercise on your own
+**Now must have three consoles opened at the same time**, one to produce message and another to consume the messsages.
+
+===> Then, produce messages from one console and read the messages from the other two consoles.
+
+## Run the Producer Python App from VisualStudio
+Open VisualStudio and run the producer.py App
+
+## Run the Consumer Python App from VisualStudio
+Open VisualStudio and run the consumer.py App
+
+
+#### More Exercises
+##### Exercise 4.1 
+Check that in the opened two consumer consoles, you are getting the messages produced by the Python Producer Application.
+
+Produce messages from the Producer console, and check that 1 ) you are getting the messages produced by the Python Producer Application.
+and 2) you are getting the messages from the Python Consumer Application.
+
+##### Exercise 4.2
+Create a new topic from the command line. Then modify the Producer App and the Consumer App to use the new topic.
+
+##### Exercise 4.4
+Read the messages also with the Kafka Admin screen at http://localhost:9021/clusters
+Check that this admin web console is very similar to the one we used in Confluent Cloud.
+
+### Clean up
+
+Shut down Docker Compose
+
+```sh
+docker-compose down
+```
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise4/consumer.py b/PROFESORES/KAFKA/src/main/python/exercise4/consumer.py
new file mode 100644
index 000000000..f022301d1
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise4/consumer.py
@@ -0,0 +1,39 @@
+from confluent_kafka import Consumer, KafkaError
+
+# Configuración del consumidor
+config = {
+    'bootstrap.servers': 'localhost:9092',  
+    'group.id': 'python-consumer-group',
+    'auto.offset.reset': 'earliest'  
+}
+
+# Crear un consumidor
+consumer = Consumer(config)
+
+# Suscribirse a un tópico
+topic = 'ventas'  # El nombre del tópico
+consumer.subscribe([topic])
+
+# Loop infinito de consumo de mensajes del topic
+try:
+    while True:
+        msg = consumer.poll(1.0)  # Lee nuevos mensajes cada 1 segundo
+        
+        if msg is None:
+            continue
+        if msg.error():
+            if msg.error().code() == KafkaError._PARTITION_EOF:
+                print("No hay más mensajes en esta partición.")
+            else:
+                print("Error al recibir mensaje: {}".format(msg.error()))
+        else:
+            # Procesar el mensaje recibido. Aqui solo lo mostramos por pantall. En una App real se pueden hacer cualquier
+            # cosa con un mensaje. Ejmplos: Filtrarlo, modificarlo, guardarlo en una base de datos, 
+            #enviarlo a otra applicación, etc.
+            print('Nuevo mensaje: {}'.format(msg.value().decode('utf-8')))
+
+except KeyboardInterrupt:
+    pass
+finally:
+    # Cerrar el consumidor al parar la Applicacion Python
+    consumer.close()
diff --git a/PROFESORES/KAFKA/src/main/python/exercise4/docker-compose.yml b/PROFESORES/KAFKA/src/main/python/exercise4/docker-compose.yml
new file mode 100644
index 000000000..270a96a7d
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise4/docker-compose.yml
@@ -0,0 +1,45 @@
+---
+version: '3.5'
+services:
+  zookeeper:
+    image: confluentinc/cp-zookeeper:latest
+    environment:
+      ZOOKEEPER_CLIENT_PORT: 2181
+      ZOOKEEPER_TICK_TIME: 2000
+    ports:
+      - 2181:2181
+
+  kafka:
+    image: confluentinc/cp-kafka:7.3.3
+    depends_on:
+      - zookeeper
+    ports:
+      - 9092:9092
+    environment:
+      KAFKA_BROKER_ID: 1
+      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
+      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
+      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
+      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
+      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
+
+  control-center:
+    image: confluentinc/cp-enterprise-control-center:7.3.3
+    hostname: control-center
+    container_name: control-center
+    depends_on:
+      - kafka
+    ports:
+      - "9021:9021"
+    environment:
+      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'kafka:29092'
+      CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'kafka-connect:8083'
+      CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksql-server:8088"
+      CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
+      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
+      CONTROL_CENTER_REPLICATION_FACTOR: 1
+      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
+      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
+      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
+      CONTROL_CENTER_CONNECT_HEALTHCHECK_ENDPOINT: '/connectors'
+      PORT: 9021
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise4/producer.py b/PROFESORES/KAFKA/src/main/python/exercise4/producer.py
new file mode 100644
index 000000000..ac5a952e0
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise4/producer.py
@@ -0,0 +1,35 @@
+import time
+from json import dumps
+from confluent_kafka import Producer
+
+# Configuración del productor
+config = {
+    'bootstrap.servers': 'localhost:9092',  # Cambia esto con la dirección de tu servidor Kafka
+    'client.id': 'python-producer'
+}
+
+# Crear un productor
+producer = Producer(config)
+
+
+# Send 100 messages where the key is the index and the message to send is "test message - index"
+# the topic name is myTopic
+
+topic_kafka = 'ventas'
+
+for e in range(100):
+    data = {'Nueva Venta - ': e*4}
+    data_str = dumps(data)  # Serialize dictionary to a string
+    data_bytes = data_str.encode('utf-8')  # Encode string to bytes
+    key = str(e).encode('utf-8')
+    producer.produce(topic=topic_kafka, value=data_bytes, key=key)  # Send bytes
+    print("Sending data: {} to topic {}".format(data, topic_kafka))
+    time.sleep(1)
+
+# After your loop where you send messages:
+producer.flush()
+
+# Optionally, you can check if there are any messages that failed to be delivered:
+if producer.flush() != 0:
+    print("Some messages failed to be delivered")
+
diff --git a/PROFESORES/KAFKA/src/main/python/exercise5/README.md b/PROFESORES/KAFKA/src/main/python/exercise5/README.md
new file mode 100644
index 000000000..4966ea333
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise5/README.md
@@ -0,0 +1,145 @@
+# Exercise 5: KSQL
+
+## Objectives
+
+1) Produce messages from a Python application.
+2) Use KSql to query the messages
+
+
+## Run Kafka in your computer with Docker
+Simple scenario: 1 zookeeper + 1 Kafka broker + 1 Ksql server + 1 Ksql CLI.
+
+Start the ZooKeeper and Kafka container.
+
+**To execute below command, make sure you open the terminal under the folder "exercise5/"**
+```sh
+$ docker-compose up -d
+```
+
+## Command Line , create a new Kafka topic
+
+Run the command line producer:
+
+```sh
+docker-compose exec kafka kafka-topics --create --topic palabras --partitions 1 --replication-factor 1 --if-not-exists --bootstrap-server localhost:9092
+```
+
+## Run the Producer Python App from VisualStudio
+Execute the exercise5/producer.py Python Producer Application. Check that it shows El Quijote's phrases.
+
+Then ensure the messages (each word of El Quijote's book) is being sent to the topic "palabras".
+
+```sh
+docker-compose exec kafka kafka-console-consumer --topic palabras --from-beginning --bootstrap-server localhost:9092
+```
+
+If the messages are arriving you are OK. Now Exit with Control-C. You are ready to start to query the messages with KSQL in next steps :)!!!
+
+## Open KSql in a console
+```sh
+docker-compose exec ksql-cli ksql http://host.docker.internal:8088
+````
+
+Check you can see an output like the below one:
+
+                    ⏳ Waiting for KSQL to be available before launching CLI
+                    
+                          ===========================================
+                          =        _  __ _____  ____  _             =
+                          =       | |/ // ____|/ __ \| |            =
+                          =       | ' /| (___ | |  | | |            =
+                          =       |  <  \___ \| |  | | |            =
+                          =       | . \ ____) | |__| | |____        =
+                          =       |_|\_\_____/ \___\_\______|       =
+                          =                                         =
+                          =  Streaming SQL Engine for Apache Kafka® =
+                          ===========================================
+                    Copyright 2017-2019 Confluent Inc.
+                    
+                    CLI v5.4.1, Server v<unknown> located at http://ksql-server:8088
+
+
+## Query the messages from a topic with KSQL
+
+```sql
+SET 'auto.offset.reset' = 'earliest';
+```
+```sql
+SHOW TOPICS;
+```
+```
+Kafka Topic  | Partitions | Partition Replicas
+------------------------------------------------
+ palabras | 1          | 1
+------------------------------------------------
+```
+```sql
+PRINT 'palabras' FROM BEGINNING;
+```
+
+Press Control-C some times to exit. Be patient, some times take time :)....If it does not stop, close the terminal and 
+open a new one under the same folder "exercise5".
+
+If you have data in an existing Apache Kafka topic, you can create a stream or a table backed by that topic and begin 
+streaming the data into ksqlDB:
+Any subsequent data produced to the topic will be streamed into ksqlDB, and any data inserted into the new stream will
+be written to the Kafka topic automagically.
+```sql
+CREATE STREAM palabras_stream
+  (palabra VARCHAR)
+   WITH (KAFKA_TOPIC='palabras',
+        VALUE_FORMAT='DELIMITED');
+```
+
+Select all the messages from the stream (topic), and show what is each word's length.
+```sql
+SELECT palabra, LEN(palabra) FROM palabras_stream emit changes;
+```
+
+Select the messages from the stream where the message size is major than 7
+```sql
+SELECT palabra AS mi_palabra, LEN(palabra) AS longitud FROM palabras_stream WHERE LEN(palabra) > 7 emit changes;
+```
+
+### Do this Exercise on your own
+Select the messages from the stream where the message size is major than 10
+
+### Keep going on
+Filter words **starting** with the letter **"t"** in a stream named palabras_stream
+```sql
+SELECT palabra
+FROM palabras_stream
+WHERE palabra LIKE 't%' emit changes;
+```
+
+### Do this Exercise on your own
+Filter words **ending** with the letters **"go"** in a stream named palabras_stream
+
+### Keep going on
+Create a KTable, to check out how many times a word has appeared in the El Quijote's book. Notice that while the words
+are arriving to the topic, the KTable gets updated in real time!!!
+```sql
+CREATE TABLE mi_ktable AS
+SELECT palabra,
+count(*)
+FROM palabras_stream
+GROUP BY palabra
+EMIT CHANGES;
+```
+
+Read the KTable
+```sql
+SELECT * FROM mi_ktable EMIT CHANGES;
+```
+
+#### More Exercises
+##### Exercise 5.1
+Find the words that starts with 'ca' **and** finishes with 'o' **and** the word is longer than 6 characters.
+
+##### Exercise 5.2
+Select all the words, but transformed in Uppercase. Hint: use a select and using the function UCASE(...)
+
+##### Exercise 5.3 ADVANCED
+**Note:** If you are interested in learning more on KSQL you can find developer info here: https://docs.confluent.io/current/ksql/docs/developer-guide/syntax-reference.html
+And you can try from this doc to performe another KSQL with the 'palabras' topic.
+
diff --git a/PROFESORES/KAFKA/src/main/python/exercise5/el_quijote_book.txt b/PROFESORES/KAFKA/src/main/python/exercise5/el_quijote_book.txt
new file mode 100644
index 000000000..c83309667
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise5/el_quijote_book.txt
@@ -0,0 +1,2186 @@
+DON QUIJOTE DE LA MANCHA
+Miguel de Cervantes Saavedra
+
+PRIMERA PARTE
+CAPÍTULO 1: Que trata de la condición y ejercicio del famoso hidalgo D. Quijote de la Mancha
+En un lugar de la Mancha, de cuyo nombre no quiero acordarme, no ha mucho tiempo que vivía un hidalgo de los de lanza en astillero, adarga antigua, rocín flaco y galgo corredor. Una olla de algo más vaca que carnero, salpicón las más noches, duelos y quebrantos los sábados, lentejas los viernes, algún palomino de añadidura los domingos, consumían las tres partes de su hacienda. El resto della concluían sayo de velarte, calzas de velludo para las fiestas con sus pantuflos de lo mismo, los días de entre semana se honraba con su vellori de lo más fino. Tenía en su casa una ama que pasaba de los cuarenta, y una sobrina que no llegaba a los veinte, y un mozo de campo y plaza, que así ensillaba el rocín como tomaba la podadera. Frisaba la edad de nuestro hidalgo con los cincuenta años, era de complexión recia, seco de carnes, enjuto de rostro; gran madrugador y amigo de la caza. Quieren decir que tenía el sobrenombre de Quijada o Quesada (que en esto hay alguna diferencia en los autores que deste caso escriben), aunque por conjeturas verosímiles se deja entender que se llama Quijana; pero esto importa poco a nuestro cuento; basta que en la narración dél no se salga un punto de la verdad. Es, pues, de saber, que este sobredicho hidalgo, los ratos que estaba ocioso (que eran los más del año) se daba a leer libros de caballerías con tanta afición y gusto, que olvidó casi de todo punto el ejercicio de la caza, y aun la administración de su hacienda; y llegó a tanto su curiosidad y desatino en esto, que vendió muchas hanegas de tierra de sembradura, para comprar libros de caballerías en que leer; y así llevó a su casa todos cuantos pudo haber dellos; y de todos ningunos le parecían tan bien como los que compuso el famoso Feliciano de Silva: porque la claridad de su prosa, y aquellas intrincadas razones suyas, le parecían de perlas; y más cuando llegaba a leer aquellos requiebros y cartas de desafío, donde en muchas partes hallaba escrito: la razón de la sinrazón que a mi razón se hace, de tal manera mi razón enflaquece, que con razón me quejo de la vuestra fermosura, y también cuando leía: los altos cielos que de vuestra divinidad divinamente con las estrellas se fortifican, y os hacen merecedora del merecimiento que merece la vuestra grandeza. Con estas y semejantes razones perdía el pobre caballero el juicio, y desvelábase por entenderlas, y desentrañarles el sentido, que no se lo sacara, ni las entendiera el mismo Aristóteles, si resucitara para sólo ello. No estaba muy bien con las heridas que don Belianis daba y recibía, porque se imaginaba que por grandes maestros que le hubiesen curado, no dejaría de tener el rostro y todo el cuerpo lleno de cicatrices y señales; pero con todo alababa en su autor aquel acabar su libro con la promesa de aquella inacabable aventura, y muchas veces le vino deseo de tomar la pluma, y darle fin al pie de la letra como allí se promete; y sin duda alguna lo hiciera, y aun saliera con ello, si otros mayores y continuos pensamientos no se lo estorbaran.
+Tuvo muchas veces competencia con el cura de su lugar (que era hombre docto graduado en Sigüenza), sobre cuál había sido mejor caballero, Palmerín de Inglaterra o Amadís de Gaula; mas maese Nicolás, barbero del mismo pueblo, decía que ninguno llegaba al caballero del Febo, y que si alguno se le podía comparar, era don Galaor, hermano de Amadís de Gaula, porque tenía muy acomodada condición para todo; que no era caballero melindroso, ni tan llorón como su hermano, y que en lo de la valentía no le iba en zaga.
+En resolución, él se enfrascó tanto en su lectura, que se le pasaban las noches leyendo de claro en claro, y los días de turbio en turbio, y así, del poco dormir y del mucho leer, se le secó el cerebro, de manera que vino a perder el juicio. Llenósele la fantasía de todo aquello que leía en los libros, así de encantamientos, como de pendencias, batallas, desafíos, heridas, requiebros, amores, tormentas y disparates imposibles, y asentósele de tal modo en la imaginación que era verdad toda aquella máquina de aquellas soñadas invenciones que leía, que para él no había otra
+historia más cierta en el mundo.
+Decía él, que el Cid Ruy Díaz había sido muy buen caballero; pero que no tenía que ver con el caballero de la ardiente espada, que de sólo un revés había partido por medio dos fieros y descomunales gigantes. Mejor estaba con Bernardo del Carpio, porque en Roncesvalle había muerto a Roldán el encantado, valiéndose de la industria de Hércules, cuando ahogó a Anteo, el hijo de la Tierra, entre los brazos. Decía mucho bien del gigante Morgante, porque con ser de aquella generación gigantesca, que todos son soberbios y descomedidos, él solo era afable y bien criado; pero sobre todos estaba bien con Reinaldos de Montalbán, y más cuando le veía salir de su castillo y robar cuantos topaba, y cuando en Allende robó aquel ídolo de Mahoma, que era todo de oro, según dice su historia. Diera él, por dar una mano de coces al traidor de Galalón, al ama que tenía y aun a su sobrina de añadidura.
+En efecto, rematado ya su juicio, vino a dar en el más extraño pensamiento que jamás dio loco en el mundo, y fue que le pareció convenible y necesario, así para el aumento de su honra, como para el servicio de su república, hacerse caballero andante, e irse por todo el mundo con sus armas y caballo a buscar las aventuras, y a ejercitarse en todo aquello que él había leído, que los caballeros andantes se ejercitaban, deshaciendo todo género de agravio, y poniéndose en ocasiones y peligros, donde acabándolos, cobrase eterno nombre y fama.
+Imaginábase el pobre ya coronado por el valor de su brazo por lo menos del imperio de Trapisonda: y así con estos tan agradables pensamientos, llevado del estraño gusto que en ellos sentía, se dió priesa a poner en efecto lo que deseaba. Y lo primero que hizo, fue limpiar unas armas, que habían sido de sus bisabuelos, que, tomadas de orín y llenas de moho, luengos siglos había que estaban puestas y olvidadas en un rincón. Limpiólas y aderezólas lo mejor que pudo; pero vió que tenían una gran falta, y era que no tenía celada de encaje, sino morrión simple; mas a esto suplió su industria, porque de cartones hizo un modo de media celada, que encajada con el morrión, hacía una apariencia de celada entera. Es verdad que para probar si era fuerte, y podía estar al riesgo de una cuchillada, sacó su espada, y le dió dos golpes, y con el primero y en un punto deshizo lo que había hecho en una semana: y no dejó de parecerle mal la facilidad con que la había hecho pedazos, y por asegurarse de este peligro, lo tornó a hacer de nuevo, poniéndole unas barras de hierro por de dentro de tal manera, que él quedó satisfecho de su fortaleza; y, sin querer hacer nueva experiencia de ella, la diputó y tuvo por celada finísima de encaje. Fue luego a ver a su rocín, y aunque tenía más cuartos que un real, y más tachas que el caballo de Gonela, que tantum pellis, et ossa fuit, le pareció que ni el Bucéfalo de Alejandro, ni Babieca el del Cid con él se igualaban. Cuatro días se le pasaron en imaginar qué nombre le podría: porque, según se decía él a sí mismo, no era razón que caballo de caballero tan famoso, y tan bueno él por sí, estuviese sin nombre conocido; y así procuraba acomodársele, de manera que declarase quien había sido, antes que fuese de caballero andante, y lo que era entones: pues estaba muy puesto en razón, que mudando su señor estado, mudase él también el nombre; y le cobrase famoso y de estruendo, como convenía a la nueva orden y al nuevo ejercicio que ya profesaba: y así después de muchos nombres que formó, borró y quitó, añadió, deshizo y tornó a hacer en su memoria e imaginación, al fin le vino a llamar Rocinante, nombre a su parecer alto, sonoro y significativo de lo que había sido cuando fue rocín, antes de lo que ahora era, que era antes y primero de todos los rocines del mundo. Puesto nombre y tan a su gusto a su caballo, quiso ponérsele a sí mismo, y en este pensamiento, duró otros ocho días, y al cabo se vino a llamar don Quijote, de donde como queda dicho, tomaron ocasión los autores de esta tan verdadera historia, que sin duda se debía llamar Quijada, y no Quesada como otros quisieron decir. Pero acordándose que el valeroso Amadís, no sólo se había contentado con llamarse Amadís a secas, sino que añadió el nombre de su reino y patria, por hacerla famosa, y se llamó Amadís de Gaula, así quiso, como buen caballero, añadir al suyo el nombre de la suya, y llamarse don Quijote de la Mancha, con que a su parecer declaraba muy al vivo su
+linaje y patria, y la honraba con tomar el sobrenombre della.
+Limpias, pues, sus armas, hecho del morrión celada, puesto nombre a su rocín, y confirmándose a sí mismo, se dió a entender que no le faltaba otra cosa, sino buscar una dama de quien enamorarse, porque el caballero andante sin amores, era árbol sin hojas y sin fruto, y cuerpo sin alma. Decíase él: si yo por malos de mis pecados, por por mi buena suerte, me encuentro por ahí con algún gigante, como de ordinario les acontece a los caballeros andantes, y le derribo de un encuentro, o le parto por mitad del cuerpo, o finalmente, le venzo y le rindo, ¿no será bien tener a quién enviarle presentado, y que entre y se hinque de rodillas ante mi dulce señora, y diga con voz humilde y rendida: yo señora, soy el gigante Caraculiambro, señor de la ínsula Malindrania, a quien venció en singular batalla el jamás como se debe alabado caballero D. Quijote de la Mancha, el cual me mandó que me presentase ante la vuestra merced, para que la vuestra grandeza disponga de mí a su talante? ¡Oh, cómo se holgó nuestro buen caballero, cuando hubo hecho este discurso, y más cuando halló a quién dar nombre de su dama! Y fue, a lo que se cree, que en un lugar cerca del suyo había una moza labradora de muy buen parecer, de quien él un tiempo anduvo enamorado, aunque según se entiende, ella jamás lo supo ni se dió cata de ello. Llamábase Aldonza Lorenzo, y a esta le pareció ser bien darle título de señora de sus pensamientos; y buscándole nombre que no desdijese mucho del suyo, y que tirase y se encaminase al de princesa y gran señora, vino a llamarla Dulcinea del Toboso, porque era natural del Toboso, nombre a su parecer músico y peregrino y significativo, como todos los demás que a él y a sus cosas había puesto.
+Capítulo 2: Que trata de la primera salida que de su tierra hizo el ingenioso D. Quijote
+Hechas, pues, estas prevenciones, no quiso aguardar más tiempo a poner en efecto su pensamiento, apretándole a ello la falta que él pensaba que hacía en el mundo su tardanza, según eran los agravios que pensaba deshacer, tuertos que enderezar, sinrazones que enmendar, y abusos que mejorar, y deudas que satisfacer; y así, sin dar parte a persona alguna de su intención, y sin que nadie le viese, una mañana, antes del día (que era uno de los calurosos del mes de Julio), se armó de todas sus armas, subió sobre Rocinante, puesta su mal compuesta celada, embrazó su adarga, tomó su lanza, y por la puerta falsa de un corral, salió al campo con grandísimo contento y alborozo de ver con cuánta facilidad había dado principio a su buen deseo. Mas apenas se vió en el campo, cuando le asaltó un pensamiento terrible, y tal, que por poco le hiciera dejar la comenzada empresa: y fue que le vino a la memoria que no era armado caballero, y que, conforme a la ley de caballería, ni podía ni debía tomar armas con ningún caballero; y puesto qeu lo fuera, había de llevar armas blancas, como novel caballero, sin empresa en el escudo, hasta que por su esfuerzo la ganase.
+Estos pensamientos le hicieron titubear en su propósito; mas pudiendo más su locura que otra razón alguna, propuso de hacerse armar caballero del primero que topase, a imitación de otros muchos que así lo hicieron, según él había leído en los libros que tal le tenían. En lo de las armas blancas pensaba limpiarlas de manera, en teniendo lugar, que lo fuesen más que un armiño: y con esto se quietó y prosiguió su camino, sin llevar otro que el que su caballo quería, creyendo que en aquello consistía la fuerza de las aventuras. Yendo, pues, caminando nuestro flamante aventurero, iba hablando consigo mismo, y diciendo: ¿Quién duda sino que en los venideros tiempos, ciando salga a luz la verdadera historia de mis famosos hechos, que el sabio que los escribiere, no ponga, cuando llegue a contar esta mi primera salida tan de mañana, de esta manera? "Apenas había el rubicundo Apolo tendido por la faz de la ancha y espaciosa tierra las doradas hebras de sus hermosos cabellos, y apenas los pequeños y pintados pajarillos con sus arpadas lenguas habían saludado con dulce y meliflua armonía la venida de la rosada aurora que dejando la blanda cama del celoso marido, por las puertas y balcones del manchego horizonte a los mortales se mostraba, cuando el famoso caballero D. Quijote de la Mancha, dejando las ociosas plumas, subió sobre su famoso caballo Rocinante, y comenzó a caminar por el antiguo y conocido campo de Montiel." (Y era la verdad que por él caminaba) y añadió diciendo: "dichosa edad, y siglo dichoso aquel adonde saldrán a luz las famosas hazañas mías, dignas de entallarse en bronce, esculpirse en mármoles y esculpirse en mármoles y pintarse en tablas para memoria en lo futuro. ¡Oh tú, sabio encantador, quienquiera que seas, a quien ha de tocar el ser coronista de esta peregrina historia! Ruégote que no te olvides de mi buen Rocinante compañero eterno mío en todos mis caminos y carreras." Luego volvía diciendo, como si verdaderamente fuera enamorado: "¡Oh, princesa Dulcinea, señora de este cautivo corazón! Mucho agravio me habedes fecho en despedirme y reprocharme con el riguroso afincamiento de mandarme no parecer ante la vuestra fermosura. Plégaos, señora, de membraros de este vuestro sujeto corazón, que tantas cuitas por vuestro amor padece."
+Con estos iba ensartando otros disparates, todos al modo de los que sus libros le habían enseñado, imitando en cuanto podía su lenguaje; y con esto caminaba tan despaico, y el sol entraba tan apriesa y con tanto ardor, que fuera bastante a derretirle los sesos, si algunos tuviera. Casi todo aquel día caminó sin acontecerle cosa que de contar fuese, de lo cual se desesperaba, poerque quisiera topar luego, con quien hacer experiencia del valor de su fuerte brazo.
+Autores hay que dicen que la primera aventura que le avino fue la de Puerto Lápice; otros dicen que la de los molinos de viento; pero lo que yo he podido averiguar en este caso, y lo que he hallado escrito en los anales de la Mancha, es que él anduvo todo aquel día, y al anochecer, su rocín y él se hallaron cansados y
+muertos de hambre; y que mirando a todas partes, por ver si descubriría algún castillo o alguna majada de pastores donde recogerse, y adonde pudiese remediar su mucha necesidad, vió no lejos del camino por donde iba una venta, que fue como si viera una estrella, que a los portales, si no a los alcázares de su redención, le encaminaba. Dióse priesa a caminar, y llegó a ella a tiempo que anochecía. Estaban acaso a la puerta dos mujeres mozas, de estas que llaman del partido, las cuales iban a Sevilla con unos arrieros, que en la venta aquella noche acertaron a hacer jornada; y como a nuestro aventurero todo cuanto pensaba, veía o imaginaba, le parecía ser hecho y pasar al modo de lo que había leído, luego que vió la venta se le representó que era un castillo con sus cuatro torres y chapiteles de luciente plata, sin faltarle su puente levadizo y honda cava, con todos aquellos adherentes que semejantes castillos se pintan.
+Fuese llegando a la venta (que a él le parecía castillo), y a poco trecho de ella detuvo las riendas a Rocinante, esperando que algún enano se pusiese entre las almenas a dar señal con alguna trompeta de que llegaba caballero al castillo; pero como vió que se tardaban, y que Rocinante se daba priesa por llegar a la caballeriza, se llegó a la puerta de la venta, y vió a las dos distraídas mozas que allí estaban, que a él le parecieron dos hermosas doncellas, o dos graciosas damas, que delante de la puerta del castillo se estaban solazando. En esto sucedió acaso que un porquero, que andaba recogiendo de unos rastrojos una manada de puercos (que sin perdón así se llaman), tocó un cuerno, a cuya señal ellos se recogen, y al instante se le representó a D. Quijote lo que deseaba, que era que algún enano hacía señal de su venida, y así con extraño contento llegó a la venta y a las damas, las cuales, como vieron venir un hombre de aquella suerte armado, y con lanza y adarga, llenas de miedo se iban a entrar en la venta; pero Don Quijote, coligiendo por su huida su miedo, alzándose la visera de papelón y descubriendo su seco y polvoso rostro, con gentil talante y voz reposada les dijo: non fuyan las vuestras mercedes, nin teman desaguisado alguno, ca a la órden de caballería que profeso non toca ni atañe facerle a ninguno, cuanto más a tan altas doncellas, como vuestras presencias demuestran. Mirábanle las mozas y andaban con los ojos buscándole el rostro que la mala visera le encubría; mas como se oyeron llamar doncellas, cosa tan fuera de su profesión, no pudieron tener la risa, y fue de manera, que Don Quijote vino a correrse y a decirles: Bien parece la mesura en las fermosas, y es mucha sandez además la risa que de leve causa procede; pero non vos lo digo porque os acuitedes ni mostredes mal talante, que el mío non es de al que de serviros.
+El lenguaje no entendido de las señoras, y el mal talle de nuestro caballero, acrecentaba en ellas la risa y en él el enojo; y pasara muy adelante, si a aquel punto no saliera el ventero, hombre que por ser muy gordo era muy pacífico, el cual, viendo aquella figura contrahecha, armada de armas tan desiguales, como eran la brida, lanza, adarga y coselete, no estuvo en nada en acompañar a las doncellas en las muestras de su contento; mas, en efecto, temiendo la máquina de tantos pertrechos, determinó de hablarle comedidamente, y así le dijo: si vuestra merced, señor caballero, busca posada, amén del lecho (porque en esta venta no hay ninguno), todo lo demás se hallará en ella en mucha abundancia. Viendo Don Quijote la humildad del alcaide de la fortaleza (que tal le pareció a él el ventero y la venta), respondió: para mí, señor castellano, cualquiera cosa basta, porque mis arreos son las armas, mi descanso el pelear, etc.
+Pensó el huésped que el haberle llamado castellano había sido por haberle parecido de los senos de Castilla, aunque él era andaluz y de los de la playa de Sanlúcar, no menos ladrón que Caco, ni menos maleante que estudiante o paje. Y así le respondió: según eso, las camas de vuestra merced serán duras peñas, y su dormir siempre velar; y siendo así, bien se puede apear con seguridad de hallar en esta choza ocasión y ocasiones para no dormir en todo un año, cuanto más en una noche. Y diciendo esto, fue a tener del estribo a D. Quijote, el cual se apeó con mucha dificultad y trabajo, como aquel que en todo aquel día no se había desayunado. Dijo luego al huésped que le tuviese mucho cuidad de su caballo,
+porque era la mejor pieza que comía pan en el mundo. Miróle el ventero, y no le pareció tan bueno como Don Quijote decía, ni aun la mitad; y acomodándole en la caballeriza, volvió a ver lo que su huésped mandaba; al cual estaban desarmando las doncellas (que ya se habían reconciliado con él), las cuales, aunque le habían quitado el peto y el espaldar, jamás supieron ni pudieron desencajarle la gola, ni quitarle la contrahecha celada, que traía atada con unas cintas verdes, y era menester cortarlas, por no poderse queitar los nudos; mas él no lo quiso consentir en ninguna manera; y así se quedó toda aquella noche con la celada puesta, que era la más graciosa y extraña figura que se pudiera pensar; y al desarmarle (como él se imaginaba que aquellas traídas y llevadas que le desarmaban, eran algunas principales señoras y damas de aquel castillo), les dijo con mucho donaire:
+Nunca fuera caballero de damas tan bien servido, como fuera D. Quijote cuando de su aldea vino; doncellas curaban dél, princesas de su Rocino.
+O Rocinante, que este es el nombre, señoras mías, de mi caballo, y Don Quijote de la Mancha el mío; que puesto que no quisiera descubrirme fasta que las fazañas fechas en vuestro servicio y pro me descubrieran, la fuerza de acomodar al propósito presente este romance viejo de Lanzarote, ha sido causa que sepáis mi nombre antes de toda sazón; pero tiempo vendrá en que las vuestras señorías me manden, y yo obedezca, y el valor de mi brazo descubra el deseo que tengo de serviros. Las mozas, que no estaban hechas a oír semejantes retóricas, no respondían palabra; sólo le preguntaron si quería comer alguna cosa. Cualquiera yantaría yo, respondió D. Quijote, porque a lo que entiendo me haría mucho al caso. A dicha acertó a ser viernes aquél día, y no había en toda la venta sino unas raciones de un pescado, que en Castilla llaman abadejo, y en Andalucía bacalao, y en otras partes curadillo, y en otras truchuela.
+Preguntáronle si por ventura comería su merced truchuela, que no había otro pescado que darle a comer. Como haya muchas truchuelas, respondió D. Quijote, podrán servir de una trueba; porque eso se me da que me den ocho reales en sencillos, que una pieza de a ocho. Cuanto más, que podría ser que fuesen estas truchuelas como la ternera, que es mejor que la vaca, y el cabrito que el cabrón. Pero sea lo que fuere, venga luego, que el trabajo y peso de las armas no se puede llevar sin el gobierno de las tripas. Pusiéronle la mesa a la puerta de la venta por el fresco, y trájole el huésped una porción de mal remojado, y peor cocido bacalao, y un pan tan negro y mugriento como sus armas. Pero era materia de grande risa verle comer, porque como tenía puesta la celada y alzada la visera, no podía poner nada en la boca con sus manos, si otro no se lo daba y ponía; y así una de aquellas señoras sería de este menester; mas el darle de beber no fue posible, ni lo fuera si el ventero no horadara una caña, y puesto el un cabo en la boca, por el otro, le iba echando el vino. Y todo esto lo recibía en paciencia, a trueco de no romper las cintas de la celada.
+Estando en esto, llegó acaso a la venta un castrador de puercos, y así como llegó sonó su silbato de cañas cuatro o cinco veces, con lo cual acabó de confirmar Don Quijote que estaba en algún famoso castillo, y que le servían con música, y que el abadejo eran truchas, el pan candeal, y las rameras damas, y el ventero castellano del castillo; y con esto daba por bien empleada su determinación y salida. Mas lo que más le fatigaba era el no verse armado caballero, por parecerle que no se podría poner legítimamente en aventura alguna sin recibir la órden de caballería.
+Capítulo 3: Donde se cuenta la graciosa manera que tuvo D. Quijote en armarse caballero
+Y así, fatigado de este pensamiento, abrevió su venteril y limitada cena, la cual acabada llamó al ventero, y encerrándose con él en la caballeriza, se hincó de rodillas ante él, diciéndole, no me levantaré jamás de donde estoy, valeroso caballero, fasta que la vuestra cortesía, me otorgue un don que pedirle quiero, el cual redundará en alabanza vuestra y en pro del género humano. El ventero que vió a su huésped a sus pies, y oyó semejantes razones, estaba confuso mirándole, sin saber qué hacerse ni decirle, y porfiaba con él que se levantase; y jamás quiso, hasta que le hubo de decir que él le otorgaba el don que le pedía. No esperaba yo menos de la gran magnificencia vuestra, señor mío, respondió D. Quijote; y así os digo que el don que os he pedido, y de vuestra liberalidad me ha sido otorgado, es que mañana, en aquel día, me habéis de armar caballero, y esta noche en la capilla de este vuestro castillo velaré las armas; y mañana, como tengo dicho, se cumplirá lo que tanto deseo, para poder, como se debe, ir por todas las cuatro partes del mundo buscando las aventuras en pro de los menesterosos, como está a cargo de la caballería y de los caballeros andantes, como yo soy, cuyo deseo a semejantes fazañas es inclinado.
+El ventero, que como está dicho, era un poco socarrón, y ya tenía algunos barruntos de la falta de juicio de su huésped, acabó de creerlo cuando acabó de oír semejantes razones, y por tener que reír aquella noche, determinó seguirle el humor; así le dijo que andaba muy acertado en lo qeu deseaba y pedía, y que tal prosupuesto era propio y natural de los caballeros tan principales como él parecía, y como su gallarda presencia mostraba, y que él ansimesmo, en los años de su mocedad se había dado a aquel honroso ejercicio, andando por diversas partes del mundo buscando sus aventuras, sin que hubiese dejado los percheles de Málaga, islas de Riarán, compás de Sevilla, azoguejo de Segovia, la olivera de Valencia, rondilla de Granada, playa de Sanlúcar, potro de Córdoba, y las ventillas de Toledo, y otras diversas partes donde había ejercitado la ligereza de sus pies y sutileza de sus manos, haciendo muchos tuertos, recuestando muchas viudas, deshaciendo algunas doncellas, y engañando a muchos pupilos, y finalmente, dándose a conocer por cuantas audiencias y tribunales hay casi en toda España; y que a lo último se había venido a recoger a aquel su castillo, donde vivía con toda su hacienda y con las ajenas, recogiendo en él a todos los caballeros andantes de cualquiera calidad y condición que fuesen, sólo por la mucha afición que les tenía, y porque partiesen con él de su shaberes en pago de su buen deseo. Díjole también que en aquel su castillo no había capilla alguna donde poder velar las armas, porque estaba derribada para hacerla de nuevo; pero en caso de necesidad él sabía que se podían velar donde quiera, y que aquella noche las podría velar en un patio del castillo; que a la mañana, siendo Dios servido, se harían las debidas ceremonias de manera que él quedase armado caballero, y tan caballero que no pudiese ser más en el mundo.
+Preguntóle si traía dineros: respondió Don Quijote que no traía blanca, porque él nunca había leído en las historias de los caballeros andantes que ninguno los hubiese traído. A esto dijo el ventero que se engañaba: que puesto caso que en las historias no se escribía, por haberles parecido a los autores de ellas que no era menester escribir una cosa tan clara y tan necesaria de traerse, como eran dineros y camisas limpias, no por eso se había de creer que no los trajeron; y así tuviese por cierto y averiguado que todos los caballeros andantes (de que tantos libros están llenos y atestados) llevaban bien erradas las bolsas por lo que pudiese sucederles, y que asimismo llevaban camisas y una arqueta pequeña llena de ungüentos para curar las heridas que recibían, porque no todas veces en los campos y desiertos, donde se combatían y salían heridos, había quien los curase, si ya no era que tenían algún sabio encantador por amigo que luego los socorría, trayendo por el aire, en alguna nube, alguna doncella o enano con alguna redoma de agua de tal virtud, que en gustando alguna gota de ella, luego al punto
+quedaban sanos de sus llagas y heridas, como si mal alguno no hubiesen tenido; mas que en tanto que esto no hubiese, tuvieron los pasados caballeros por cosa acertada que sus escuderos fuesen proveídos de dineros y de otras cosas necesarias, como eran hilas y ungüentos para curarse; y cuando sucedía que los tales caballeros no tenían escuderos (que eran pocas y raras veces), ellos mismos lo llevaban todo en unas alforjas muy sutiles, que casi no se parecían a las ancas del caballo, como que era otra cosa de más importancia; porque no siendo por ocasión semejante, esto de llevar alforjas no fue muy admitido entre los caballeros andantes; y por esto le daba por consejo (pues aún se lo podía mandar como a su ahijado, que tan presto lo había de ser), que no caminase de allí adelante sn dineros y sin las prevenciones referidas, y que vería cuán bien se hallaba con ellas cuando menos se pensase. Prometióle don Quijote de hacer lo que se le aconsejaba con toda puntualidad; y así se dió luego orden como velase las armas en un corral grande, que a un lado de la venta estaba, y recogiéndolas Don Quijote todas, las puso sobre una pila que junto a un pozo estaba, y embrazando su adarga, asió de su lanza, y con gentil continente se comenzó a pasear delante de la pila; y cuando comenzó el paseo, comenzaba a cerrar la noche.
+Contó el ventero a todos cuantos estaban en la venta la locura de su huésped, la vela de las armas y la armazón de caballería que esperaba. Admirándose de tan extraño género de locura, fuéronselo a mirar desde lejos, y vieron que, con sosegado ademán, unas veces se paseaba, otras arrimado a su lanza ponía los ojos en las armas sin quitarlos por un buen espacio de ellas. Acabó de cerrar la noche; pero con tanta claridad de la luna, que podía competir con el que se le prestaba, de manera que cuanto el novel caballero hacía era bien visto de todos.
+Antojósele en esto a uno de los arrieros que estaban en la venta ir a dar agua a su recua, y fue menester quitar las armas de Don Quijote, que estaban sobre la pila, el cual, viéndole llegar, en voz alta le dijo: ¡Oh tú, quienquiera que seas, atrevido caballero, que llegas a tocar las armas del más valeroso andante que jamás se ciñó espada, mira lo que haces, y no las toques, si no quieres dejar la vida en pago de tu atrevimiento! No se curó el arriero de estas razones (y fuera mejor que se curara, porque fuera curarse en salud); antes, trabando de las correas, las arrojó gran trecho de sí, lo cual visto por Don Quijote, alzó los ojos al cielo, y puesto el pensamiento (a lo que pareció) en su señora Dulcinea, dijo: acorredme, señora mía, en esta primera afrenta que a este vuestro avasallado pecho se le ofrece; no me desfallezca en este primero trance vuestro favor y amparo: y diciendo estas y otras semejantes razones, soltando la adarga, alzó la lanza a dos manos y dió con ella tan gran golpe al arriero en la cabeza, que le derribó en el suelo tan maltrecho, que, si secundara con otro, no tuviera necesidad de maestro que le curara. Hecho esto, recogió sus armas, y tornó a pasearse con el mismo reposo que primero. Desde allí a poco, sin saberse lo que había pasado (porque aún estaba aturdido el arriero), llegó otro con la misma intención de dar agua a sus mulos; y llegando a quitar las armas para desembarazar la pila, sin hablar Don Quijote palabra, y sin pedir favor a nadie, soltó otra vez la adarga, y alzó otra vez la lanza, y sin hacerla pedazos hizo más de tres la cabeza del segundo arriero, porque se la abrió por cuatro. Al ruido acudió toda la gente de la venta, y entre ellos el ventero. Viendo esto Don Quijote, embrazó su adarga, y puesta mano a su espada, dijo: ¡Oh, señora de la fermosura, esfuerzo y vigor del debilitado corazón mío, ahora es tiempo que vuelvas los ojos de tu grandeza a este tu cautivo caballero, que tamaña aventura está atendiendo! Con esto cobró a su parecer tanto ánimo, que si le acometieran todos los arrieros del mundo, no volviera el pie atrás. Los compañeros de los heridos que tales los vieron, comenzaron desde lejos a llover piedras sobre Don Quijote, el cual lo mejor que podía se reparaba con su adarga y no se osaba apartar de la pila por no desamparar las armas. El ventero daba voces que le dejasen, porque ya les había dicho como era loco, y que por loco se libraría, aunque los matase a todos. También Don Quijote las daba mayores, llamándolos de alevosos y traidores, y que el señor del castillo era un follón y mal nacido caballero, pues de tal manera consentía que se tratasen los andantes caballeros, y que si él
+hubiera recibido la orden de caballería, que él le diera a entender su alevosía; pero de vosotros, soez y baja canalla, no hago caso alguno: tirad, llegad, venid y ofendedme en cuanto pudiéredes, que vosotros veréis el pago que lleváis de vuestra sandez y demasía. Decía esto con tanto brío y denuedo, que infundió un terrible temor en los que le acometían; y así por esto como por las persuasiones del ventero, le dejaron de tirar, y él dejó retirar a los heridos, y tornó a la vela de sus armas con la misma quietud y sosiego que primero.
+No le parecieron bien al ventero las burlas de su huésped, y determinó abreviar y darle la negra orden de caballería luego, antes que otra desgracia sucediese; y así, llegándose a él se disculpó de la insolencia que aquella gente baja con él había usado, sin que él supiese cosa alguna; pero que bien castigado quedaban de su atrevimiento. Díjole, como ya le había dicho, que en aquel castillo no había capilla, y para lo que restaba de hacer tampoco era necesaria; que todo el toque de quedar armado caballero consistía en la pescozada y en el espaldarazo, según él tenía noticia del ceremonial de la orden, y que aquello en mitad de un campo se podía hacer; y que ya había cumplido con lo que tocaba al elar de las armas, que con solas dos horas de vela se cumplía, cuanto más que él había estado más de cuatro. Todo se lo creyó Don Quijote, y dijo que él estaba allí pronto para obedecerle, y que concluyese con la mayor brevedad que pudiese; porque si fuese otra vez acometido, y se viese armado caballero, no pensaba dejar persona viva en el castillo, excepto aquellas que él le mandase, a quien por su respeto dejaría. Advertido y medroso de esto el castellano, trajo luego un libro donde asentaba la paja y cebada que daba a los arrieros, y con un cabo de vela que le traía un muchacho, y con las dos ya dichas doncellas, se vino a donde Don Quijote estaba, al cual mandó hincar de rodillas, y leyendo en su manual como que decía alguna devota oración, en mitad de la leyenda alzó la mano, y dióle sobre el cuello un buen golpe, y tras él con su misma espada un gentil espaldarazo, siempre murmurando entre dientes como que rezaba. Hecho esto, mandó a una de aquellas damas que le ciñese la espada, la cual lo hizo con mucha desenvoltura y discreción, porque no fue menester poca para no reventar de risa a cada punto de las ceremonias; pero las proezas que ya habían visto del novel caballero les tenía la risa a raya. Al ceñirle la espada dijo la buena señora: Dios haga a vuestra merced muy venturoso caballero, y le dé ventura en lides. Don Quijote le preguntó como se llamaba, porque él supiese de allí adelante a quién quedaba obligado por la merced recibida, porque pensaba darle alguna parte de la honra que alcanzase por el valor de su brazo. Ella respondió con mucha humildad que se llamaba la Tolosa, y que era hija de un remendón, natural de Toledo, que vivía a las tendillas de Sancho Bienaya, y que donde quiera que ella estuviese le serviría y le tendría por señor. Don Quijote le replicó que por su amor le hiciese merced, que de allí en adelante se pusiese don, y se llamase doña Tolosa. Ella se lo prometió; y la otra le calzó la espuela, con la cual le pasó casi el mismo coloquio que con la de la espada. Preguntóle su nombre, y dijo que se llamaba la Molinera, y que era hija de un honrado molinero de Antequera; a la cual también rogó Don Quijote que se pusiese don, y se llamase doña Molinera, ofreciéndole nuevos servicios y mercedes.
+Hechas, pues, de galope y aprisa las hasta allí nunca vistas ceremonias, no vió la hora Don Quijote de verse a caballo y salir buscando las aventuras; y ensillando luego a Rocinante, subió en él, y abrazando a su huésped, le dijo cosas tan extrañas, agradeciéndole la merced de haberle armado caballero, que no es posible acertar a referirlas. El ventero, por verle ya fuera de la venta, con no menos retóricas, aunque con más breves palabras, respondió a las suyas, y sin pedirle la costa de la posada, le dejó ir a la buena hora.
+Capítulo 4: De lo que le sucedió a nuestro caballero cuando salió de la venta
+La del alba sería cuando Don Quijote salió de la venta, tan contento, tan gallardo, tan alborozado por verse ya armado caballero, que el gozo le reventaba por las cinchas del caballo. Mas viniéndole a la memoria los consejos de su huésped acerca de las prevenciones tan necesarias que había de llevar consigo, en especial la de los dineros y camisas, determinó volver a su casa y acomodarse de todo, y de un escudero, haciendo cuenta de recibir a un labrador vecino suyo, que era pobre y con hijos, pero muy a propósito para el oficio escuderil de la caballería. Con este pensamiento guió a Rocinante hacia su aldea, el cual casi conociendo la querencia, con tanta gana comenzó a caminar, que parecía que no ponía los pies en el suelo. No había andado mucho, cuando le pareció que a su diestra mano, de la espesura de un bosque que allí estaba, salían unas voces delicadas, como de persona que se quejaba; y apenas las hubo oído, cuando dijo: gracias doy al cielo por la merced que me hace, pues tan presto me pone ocasiones delante, donde yo pueda cumplir con lo que debo a mi profesión, y donde pueda coger el fruto de mis buenos deseos: estas voces sin duda son de algún menesteroso o menesterosa, que ha menester mi favor y ayuda: y volviendo las riendas encaminó a Rocinante hacia donde le pareció que las voces salían; y a pocos pasos que entró por el bosque, vió atada una yegua a una encina, y atado en otra un muchacho desnudo de medio cuerpo arriba, de edad de quince años, que era el que las voces daba y no sin causa, porque le estaba dando con una pretina muchos azotes un labrador de buen talle, y cada azote le acompañaba con una reprensión y consejo, porque decía: la lengua queda y los ojos listos. Y el muchacho respondía: no lo haré otra vez, señor mío; por la pasión de Dios, que no lo haré otra vez, y yo prometo de tener de aquí adelante más cuidado con el hato. Y viendo Don Quijote lo que pasaba, con voz airada dijo: descortés caballero, mal parece tomaros con quien defender no se puede; subid sobre vuestro caballo y tomad vuestra lanza, (que también tenía una lanza arrimada a la encina, adonde estaba arrendada la yegua) que yo os haré conocer ser de cobardes lo que estáis haciendo.
+El labrador, que vió sobre sí aquella figura llena de armas, blandiendo la lanza sobre su rostro, túvose por muerto, y con buenas palabras respondió: señor caballero, este muchacho que estoy castigando es un mi criado, que me sirve de guardar una manada de ovejas que tengo en estos contornos, el cual es tan descuidado que cada día me falta una, y porque castigo su descuido o bellaquería, dice que lo hago de miserable, por no pagarle la soldada que le debo, y en Dios y en mi ánima que miente. ¿Miente, delante de mí, ruin villano? dijo Don Quijote. Por el sol que nos alumbra, que estoy por pasaros de parte a parte con esta lanza: pagadle luego sin más réplica; si no, por el Dios que nos rige, que os concluya y aniquile en este punto: desatadlo luego. El labrador bajó la cabeza, y sin responder palabra desató a su criado, al cual preguntó Don Quijote que cuánto le debía su amo. El dijo que nueve meses, a siete reales cada mes. Hizo la cuenta Don Quijote, y halló que montaban sesenta y tres reales, y díjole al labrador que al momento los desembolsase, si no quería morir por ello. Respondió el medroso villano, que por el paso en que estaba y juramento que había hecho (y aún no había jurado nada), que no eran tantos, porque se le había de descontar y recibir en cuenta tres pares de zapatos que le había dado, y un real de dos sangrías que le habían hecho estando enfermo. Bien está todo eso, replicó Don Quijote; pero quédense los zapatos y las sangrías por los azotes que sin culpa le habéis dado, que si él rompió el cuero de los zapatos que vos pagásteis, vos le habéis rompido el de su cuerpo, y si le sacó el barbero sangre estando enfermo, vos en sanidad se la habéis sacado; así que por esta parte no os debe nada. El daño está, señor caballero, en que no tengo aquí dineros: véngase Andrés conmigo a mi casa, que yo se los pagaré un real sobre otro.
+¿Irme yo con él, dijo el muchacho, más? ¡Mal año! No, señor, ni por pienso, porque en viéndose solo me desollará como a un San Bartolomé. No hará tal, replicó Don
+Quijote; basta que yo se lo mande para que me tenga respeto, y con que él me lo jure por la ley de caballería que ha recibido, le dejaré ir libre y aseguraré la paga. Mire vuestra merced, señor, lo que dice, dijo el muchacho, que este mi amo no es caballero, ni ha recibido orden de caballería alguna, que es Juan Haldudo el rico, vecino del Quintanar.
+Importa poco eso, respondió Don Quijote, que Haldudos puede haber caballeros, cuanto más que cada uno es hijo de sus obras. Así es verdad, dijo Andrés; pero este mi amo, ¿de qué obras es hijo, pues me niega mi soldada y mi sudor y trabajo? No niego, hermano Andrés, respondió el labrador, y hacedme placer de veniros conmigo, que yo juro, por todas las órdenes de caballerías hay en el mundo, de pagaros, como tengo dicho, un real sobre otro, y aun sahumados. Del sahumerio os hago gracia, dijo Don Quijote, dádselos en reales, que con esto me contento; y mirad que lo cumpláis como lo habéis jurado; si no, por el mismojuramento os juro de volver a buscaros y a castigaros, y que os tengo de hallar aunque os escondáis más que una lagartija. Y si queréis saber quién os manda esto, para quedar con más veras obligado a cumplirlo, sabed que yo soy el valeroso Don Quijote de la Mancha, el desfacedor de agravios y sinrazones; y a Dios quedad, y no se os parta de las mientes lo prometido y jurado, so pena de la pena pronunciada.
+Y en diciendo esto picó a su Rocinante, y en breve espacio se apartó de ellos. Siguióle el labrador con los ojos, y cuando vió que había traspuesto el bosque y que ya no parecía, volvióse a su criado Andrés y díjole: Venid acá, hijo mío, que os quiero pagar lo que os debo, como aquel desfacedor de agravios me dejó mandado. Eso juro yo, dijo Andrés, y como que andará vuestra merced acertado en cumplir el mandamiento de aquel buen caballero, que mil años viva, que según es de valeroso y de buen jue, vive Roque, que si no me paga, que vuelva y ejecute lo que dijo. También lo juro yo, dijo el labrador; pero por lo mucho que os quiero, quiero acrecentar la deuda por acrecentar la paga. Y asiéndolo del brazo, le tornó a atar a la encina, donde le dió tantos azotes, que le dejó por muerto. Llamad, señor Andrés, ahora, decía el labrador, al desfacedor de agravios, veréis cómo no desface aqueste, aunque creo que no está acabado de hacer, porque me viene gana de desollaros vivo, como vos temíades.<BR< riendo.
+Y de esta manera deshizo el agravio el valeroso Don Quijote, el cual, contentísimo de lo sucedido, pareciéndole que había dado felicísimo y alto principio a sus caballerías, con gran satisfacción de sí mismo iba caminando hacia su aldea, diciendo a media voz: Bien te puedes llamar dichosas sobre cuantas hoy viven en la tierra, oh sobre las bellas, bella Dulcinea del Toboso, pues te cupo en suerte tener sujeto y rendido a toda tu voluntad y talante a un tan valiente y tan nombrado caballero, como lo es y será Don Quijote de la Mancha, el cual, como todo el mundo sabe, ayer recibió la orden de caballería, y hoy ha desfecho el mayor tuerto y agravio que formó la sinrazón y cometió la crueldad; hoy quitó el látigo de la mano a aquel despiadado enemigo que tan sin ocasión valpuleaba a aquel delicado infante. En esto llegó a un camino que en cuatro se dividía, y luego se le vino a la imaginación las encrucijadas donde los caballeros andantes se ponían a pensar cuál camino de aquellos tomarían; y por imitarlos, estuvo un rato quedo, y al cabo de haberlo muy bien pensado soltó la rienda a Rocinante, dejando a la voluntad del rocín la suya, el cual siguió su primer intento, que fue el irse camino de su caballeriza, y habiendo andado como dos millas, descubrió Don Quijote un gran tropel de gente que, como después se supo, eran unos mercaderes toledanos, que iban a comprar a Murcia. Eran seis, y venían con sus quitasoles, con otros cuatro criados a caballo y tres mozos de mulas a pie.
+Apenas les divisó Don Quijote, cuando se imaginó ser cosa de nueva aventura, y por imitar en todo, cuanto a él le parecía posible, los pasos que había leído en su s libros, le pareció venir allí de molde uno que pensaba hacer; y así con gentil continente y denuedo se afirmó bien en los estribos, apretó la lanza, llegó la adarga al pecho, y puesto en la mitad del camino estuvo esperando que aquellos caballeros andantes llegasen (que ya él por tales los tenía y juzgaba); y cuando llegaron a
+trecho que se pudieron ver y oír, levantó Don Quijote la voz, y con ademán arrogante dijo: todo el mundo se tenga, si todo el mundo no confiesa que no hay en el mundo todo doncella más hermosa que la emperatriz de la Mancha, la sin par Dulcinea del Toboso.
+Paráronse los mercaderes al son de estas razones, y al ver la estraña figura del que las decía, y por la figura y por ellas luego echaron de ver la locura de su dueño, mas quisieron ver despacio en qué paraba aquella confesión que se les pedía; y uno de ellos, que era un poco burlón y muy mucho discreto, le dijo: señor caballero, nosotros no conocemos quién es esa buena señora que decís; mostrádnosla, que si ella fuere de tanta hermosura como significáis, de buena gana y sin apremio alguno confesaremos la verdad que por parte vuestra nos es pedida. Si os la mostrara, replicó Don Quijote, ¿qué hiciérades vosotros en confesar una verdad tan notoria? La importancia está en que sin verla lo habéis de creer, confesar, afirmar, jurar y defender; donde no, conmigo sois en batalla, gente descomunal y soberbia: que ahora vengáis uno a uno, como pide la orden de caballería, ora todos juntos, como es costumbre y mala usanza de los de vuestra ralea, aquí os aguardo y espero, confiado en la razón que de mi parte tengo. Señor caballero, replicó el mercader, suplico a vuestra merced en nombre de todos estos príncipes que aquí estamos, que, porque no carguemos nuestras conciencias, confesando una cosa por nosotros jamás vista ni oída, y más siendo tan en perjuicio de las emperatrices y reinas del Alcarria y Extremadura, que vuestra merced sea servido de mostrarnos algún retrato de esa señora, aunque sea tamaño como un grano de trigo, que por el hilo se sacará el ovillo, y quedaremos con esto satisfechos y seguros, y vuestra merce quedará contento y pagado; y aun creo que estamos ya tan de su parte, que aunque su retrato nos muestre que es turerta de un ojo, y que del otro le mana bermellón y piedra azufre, con todo eso, por complacer a vuestra merced, diremos en su favor todo lo que quisiere. No le mana, canalla infame, respondió Don Quijote encendido en cólera, no le mana, digo, eso que decís, sino ámbar y algalia entre algodones, y no es tuerta ni corcobada, sino más derecha que un huso de Guadarrama; pero vosotros pagaréis la grande blasfemia que habéis dicho contra tamaña beldad, como es la de mi señora. Y en diciendo esto, arremetió con la lanza baja contra el que lo había dicho, con tanta furia y enojo, que si la buena suerte no hiciera que en la mitad del camino tropezara Rocinante, lo pasara mal el atrevido mercader. Cayó Rocinante, y fue rodando su amo una buena pieza por el campo, y queriéndose levantar, jamás pudo: tal embarazo le causaba la lanza, espuelas y celada, con el peso de las antiguas armas. Y entre tanto que pugnaba por levantarse y no podía, estaba diciendo: non fuyáis, gente cobarde, gente cautiva, atended que no por culpa mía, sino de mi caballo, estoy aquí tendido. Un mozo de mulas de los que allí venían, que no debía de ser muy bien intencionado, oyendo decir al pobre caído tantas arrogancias, no lo pudo sufrir sin darle la respuesta en las costillas. Y llegándose a él, tomó la lanza, y después de haberla hecho pedazos, con uno de ellos comenzó a dar a nuestro Don Quijote tantos palos, que a despecho y pesar de sus armas le molió como cibera. Dábanle voces sus amos que no le diese tanto, y que le dejase; pero estaba ya el mozo picado, y no quiso dejar el juego hasta envidar todo el resto de su cólera; y acudiendo por los demás trozos de la lanza, los acabó de deshacer sobre el miserable caído, que con toda aquella tempestad de palos que sobre él lovía, no cerraba la boca, amenazando al cielo y a la tierra y a los malandrines, que tal le parecían. Cansóse el mozo, y los mercaderes siguieron su camino, llevando que contar en todo él del pobre apaleado, el cual, después que se vió solo, tornó a probar si podía levantarse; pero, si no lo pudo hacer cuando sano y bueno, ¿cómo lo haría molido y casi deshecho? Y aún se tenía por dichoso, pareciéndole que aquella era propia desgracia de caballeros andantes, y toda la atribuía a la falta de su caballo; y no era posible levantarse, según tenía abrumado todo el cuerpo.
+Capítulo 5: Donde se prosigue la narración de la desgracia de nuestro caballero
+Viendo, pues, que en efecto no podía menearse, acordó de acogerse a su ordinario remedio, que era pensar en algún paso de sus libros, y trájole su cólera a la memoria aquel de Baldovinos y del marqués de Mantua, cuando Carloto le dejó herido en la montaña... historia sabida de los niños, no ignorada de los mozos, celebrada y aun creída de viejos, y con todo esto no más verdadera que los milagros de Mahoma. Esta, pues, le pareció a él que le venía de molde para el paso en que se hallaba, y así con muestras de grande sentimiento, se comenzó a volcar por la tierra, y a decir con debilitado aliento lo mismo que dicen decía el herido caballero del bosque:
+¿Dónde estáis, señora mía, que no te duele mi mal?
+O no lo sabes, señora,
+o eres falsa y desleal.
+Y de esta manera fue prosiguiendo el romance hasta aquellos versos que dicen:
+Oh noble marquás de Mantua, mi tío y señor Carnal.
+Y quiso la suerte que cuando llegó a este verso acertó a pasar por allí un labrador de su mismo lugar, y vecino suyo, que venía de llevar una carga de trigo al molino; el cual, viendo aquel hombre allí tendido, se llegó a él y le preguntó que quién era y qué mal sentía que tan tristemente se quejaba. Don Quijote creyó sin duda que aquel era el marqués de Mantua su tío, y así no le respondió otra cosa sino fue proseguir en su romance, donde le daba cuenta de su desgracia y de los amores del hijo del Emperante con su esposa, todo de la misma manera que el romance lo canta. El labrador estaba admirado oyendo aquellos disparates, y quitándole la visera, que ya estaba hecha pedazos de los palos, le limpió el rostro que lo tenía lleno de polvo; y apenas le hubo limpiado, cuando le conoció y le dijo: señor Quijada (que así se debía de llamar cuando él tenía juicio, y no había pasado de hidalgo sosegado a caballero andante) ¿quién ha puesto a vuestra merced de esta suerte? Pero él, seguía con su romance a cuanto le preguntaba. Viendo esto el buen hombre, lo mejor que pudo le quitó el peto y espaldar, para ver si tenía alguna herida; pero no vió sangre ni señal alguna. Procuró levantarle del suelo, y no con poco trabajo le subió sobre su jumento, por parecerle caballería más sosegada. Recogió las armas hasta las astillas de la lanza, y liólas sobre Rocinante, al cual tomó de la rienda, y del cabestro al asno, y se encaminó hacia su pueblo, bien pensativo de oír los disparates que Don Quijote decía; y no menos iba Don Quijote, que de puro molido y quebrantado no se podía tener sobre el borrico, y de cuando en cuando daba unos suspiro que los ponía en el cielo, de modo que de nuevo obligó a que el labrador le preguntase le dijese qué mal sentía; y no parece sino que el diablo le traía a la memoria los cuentos acomodados a sus sucesos, porque en aquel punto, olvidándose de Baldovinos, se acordó del moro Abindarráez cuando el alcaide de Antequera Rodrigo de Narváez le prendió, y llevó cautivo a su alcaidía. De suerte que cuando el labrador le volvió a preguntar cómo estaba y qué sentía, le respondió las mismas palabras y razones que el cautivo Abencerraje respondía a Rodrigo de Narváez, del mismo modo que él había leído la historia en la Diana de Jorge de Montemayor, donde se escribe; aprovechándose de ella tan de propósito que el labrador se iba dando al diablo de oír tanta máquina de necedades; por donde conoció que su vecino estaba loco, y dábase priesa a llegar al pueblo, por excusar el enfado que Don Quijote le causaba con su larga arenga. Al cabo de lo cual dijo; sepa vuestra merced, señor Don Rodrigo de Narváez, que esta hermosa Jarifa, que he dicho, es ahora la linda Dulcinea del Toboso, por quien yo he hecho, hago y haré los más famosos hechos de caballerías que se han visto, vean, ni verán
+en el mundo. A esto respondió el labrador: mire vuestra merced, señor, ¡pecador de mí! que yo no soy don Rodrigo de Narváez, ni el marqués de Mantua, sino Pedro Alonso, su vecino; ni vuestra merced es Baldominos, ni Abindarráez, sino el honrado hidalgo del señor Quijada; yo sé quien soy, respondió Don Quijote, y sé que puedo ser, no sólo los que he dicho, sino todos los doce Pares de Francia, y aún todos los nueve de la fama, pues a todas las hazañas que ellos todos juntos y cada uno de por sí hicieron, se aventajarán las mías.
+En estas pláticas y otras semejantes llegaron al lugar a la hora que anochecía; pero el labrador aguardó a que fuese algo más noche, porque no viesen al molido hidalgo tan mal caballero. Llegada, pues, la hora que le pareció, entró en el pueblo y en casa de Don Quijote, la cual halló toda alborotada, y estaban en ella el cura y el barbero del lugar, que eran grandes amigos de Don Quijote, que estaba diciéndoles su ama a voces: ¿qué le parece a vuestra merced, señor licenciado, Pero Pérez, que así se llamaba el cura, de la desgracia de mi señor? Seis días ha que no parecen él, ni el rocín, ni la adarga, ni la lanza, ni las armas. ¡Desventurada de mí! que me doy a entender, y así es ello la verdad como nací para morir, que estos malditos libros de caballerías que él tiene, y suele leer tan de ordinario, le
+han vuelto el juicio; que ahora me acuerdo haberle oído decir muchas veces hablando entre sí, que quería hacerse caballero andante, e irse a buscar las aventuras por esos mundos. Encomendados sean a Satanás y a Barrabás tales libros, que así han echado a perder el más delicado entendimiento que había en toda la Mancha. La sobrina decía lo mismo, y aún decía más: sepa, señor maese Nicolás, que este era el nombre del barbero, que muchas veces le aconteció a mi señor tío estarse leyendo en estos desalmados libros de desventuras dos días con sus noches: al cabo de los cuales arrojaba el libro de las manos, y ponía mano a la espada, y andaba a cuchilladas con las paredes; y cuando estaba muy cansado, decía que había muerto a cuatro gigantes como cuatro torres, y el sudor que sudaba del cansancio decía que era sangre de las feridas que había recibido en la batalla; y bebíase luego un gan jarro de agua fría, y quedaba sano y sosegado, diciendo que aquella agua era una preciosísisma bebida que le había traído el sabio Esquife, un grande encantador y amigo suyo. Mas yo me tengo la culpa de todo, que no avisé a vuestras mercedes de los disparates de mi señor tío, para que lo remediaran antes de llegar a lo que ha llegado, y quemaran todos estos descomulgados libros (que tiene muchos), que bien merecen ser abrasados como si fuesen de herejes. Esto digo yo también, dijo el cura, y a fe que no se pase el día de mañana sin que de ellos no se haga auto público, y sean condenados al fuego, porque no den ocasión a quien los leyere de hacer lo que mi buen amigo debe de haber hecho.
+Todo esto estaban oyendo el labrador y Don Quijote, con que acabó de entender el labrador la enfermedad de su vecino, y así comenzó a decir a voces: abran vuestras mercedes al señor Baldovinos y al señor marqués de Mantua, que viene mal ferido, y al señor moro Abindarráez, que trae cautivo el valeroso Rodrigo de Narváez, alcaide de Antequera. A estas voces salieron todos, y como conocieron los unos a su amigo, las otras a su amo y tío, que aún no se había apeado del jumento, porque no podía, corrieron a abrazarle. El dijo: ténganse todos, que vengo mal ferido por la culpa de mi caballo; llévenme a mi lecho, y llámese si fuere posible, a la sabia Urganda, que cure y cate mis feridas. Mirad en hora mala, dijo a este punto el ama, si me decía a mí bien mi corazón del pie que cojeaba mi señor. Suba vuestra merced en buena hora, que sin que venga esa Urganda le sabremos aquí curar. Malditos, digo, sean otra vez y otras ciento estos libros de caballería que tal han parado a vuestra merced.
+Lleváronle luego a la cama, y catándole las feridas, no le hallaron ninguna; y él dijo que todo era molimiento, por haber dado una gran caída con Rocinante, su caballo, combatiéndose con diez jayanes, los más desaforados y atrevidos que pudieran fallar en gran parte de la tierra. Ta, Ta, dijo el cura; ¿jayanes hay en la danza? para mí santiguada, que yo los queme mañana antes de que llegue la noche. Hiciéronle a Don Quijote mil preguntas, y a ninguna quiso responder otra cosa, sino que le
+diesen de comer y le dejasen dormir, que era lo que más le importaba. Hízose así, y el cura se informó muy a la larga del labrador, del modo que había hallado a Don Quijote. El se lo contó todo con los disparates que al hallarle y al traerle había dicho, que fue poner más deseo en el licenciado de hacer lo que el otro día hizo, que fue llevar a su amigo el barbero maese Nicolás, con el cual se vino a casa de Don Quijote.
+Capítulo 6: Del donoso y grande escrutinio que el cura y el barbero hicieron en la librería de nuestro ingenioso hidalgo
+El cual aún todavía dormía. Pidió las llaves a la sobrina del aposento donde estaban los libros autores del daño, y ella se las dió de muy buena gana. Entraron dentro todos, y el ama con ellos, y hallaron más de cien cuerpos de libros grandes muy bien encuadernados, y otros pequeños; y así como el ama los vió, volvióse a salir del aposento con gran priesa, y tornó luego con una escudilla de agua bendita y un hisopo, y dijo: tome vuestra merced, señor licenciado; rocíe este aposento, no esté aquí algún encantador de los muchos que tienen estos libros, y nos encanten en pena de la que les queremos dar echándolos del mundo. Causó risa al licenciado la simplicidad del ama, y mandó al barbero que le fuese dando de aquellos libros uno a uno, para ver de qué trataban, pues podía ser hallar algunos que no mereciesen castigo de fuego. No, dijo la sobrina, no hay para qué perdonar a ninguno, porque todos han sido los dañadores, mejor será arrojarlos por las ventanas al patio, y hacer un rimero de ellos, y pegarles fuego, y si no, llevarlos al corral, y allí se hará la hoguera, y no ofenderá el humo. Lo mismo dijo el ama: tal era la gana que las dos tenían de la muerte de aquellos inocentes; mas el cura no vino en ello sin primero leer siquiera los títulos.
+Y el primero que maese Nicolás le dió en las manos, fue los cuatro de Amadís de Gaula, y dijo el cura: parece cosa de misterio esta, porque, según he oído decir, este libro fue el primero de caballerías que se imprimió en España, y todos los demás han tomado principio y origen de este; y así me parece que como a dogmatizador de una secta tan mala, le debemos sin excusa alguna condenar al fuego. No, señor, dijo el barbero, que también he oído decir que es el mejor de todos los libros que de este género se han compuesto, y así, como a único en su arte, se debe perdonar. Así es verdad, dijo el cura, y por esa razón se le otorga la vida por ahora. Veamos ese otro que está junto a él. Es, dijo el barbero, Las sergas de Esplandián, hijo legítimo de Amadís de Gaula. Pues es verdad, dijo el cura, que no le ha de valer al hijo la bondad del padre; tomad, señora am, abrid esa ventana y echadle al corral, y dé principio al montón de la hoguera que se ha de hacer. Hízolo así el ama con mucho contento, y el bueno de Esplandián fue volando al corral, esperando con toda paciencia el fuego que le amenazaba.
+Adelante, dijo el cura. Este que viene, dijo el barbero, es Amadís de Grecia, y aun todos los de este lado, a lo que creo, son del mismo linaje de Amadís. Pues vayan todos al corral, dijo el cura, que a trueco de quemar a la reina Pintiquiniestra, y al pastor Darinel, y a sus églogas, y a las endiabladas y revueltas razones de su autor, quemara con ellos al padre que me engendró, si anduviera en figura de caballero andante. De ese parecer soy yo, dijo el barbero. Y aun yo, añadió la sobrina. Pues así es, dijo el ama, vengan, y al corral con ellos. Diéronselos, que eran muchos, y ella ahorró la escalera, y dió con ellos por la ventana abajo. ¿Quién es ese tonel? dijo el cura. Este es, respondió el barbero, Don Olicante de Laura. El autor de ese libro, dijo el cura, fue el mismo que compuso a Jardín de Flores, y en verdad que no sepa determinar cuál de los dos libros es más verdadero, o por decir mejor, menos mentiroso; solo sé decir que este irá al corral por disparatado y arrogante. Este que sigue es Florismarte de Hircania, dijo el barbero. ¿Ahí está el señor Florismarte? replicó el cura. Pues a fe que ha de parar presto en el corral a pesar de su extraño nacimiento y soñadas aventuras, que no da lugar a otra cosa la dureza y sequedad de su estilo; al corral con él, y con ese otro, señora ama. Que me place, señor mío, respondió ella... y con mucha alegría ejecutaba lo que era mandado. Este es El caballero Platir, dijo el barbero. Antiguo libro es ese, dijo el cura, y no hallo en él cosa que merezca venia; acompañe a los demás sin réplica... Y así fue hecho.
+Abrióse otro libro, y vieron que tenía por título El caballero de la Cruz. Por nombre tan santo como este libro tiene, se podía perdonar su ignorancia; mas también se suele decir tras la cruz está el diablo: vaya al fuego. Tomando el barbero otro libro, dijo: Este es Espejo de Caballerías. Ya conozco a su merced, dijo el cura: ahí anda el señor Reinaldos del Montalban con sus amigos y compañeros, más ladrones que
+Caco, y los doce Pares con el verdadero historiador Turpin; y en verdad que estoy por condenarlos no más que a destierro perpetuo, siquiera porque tienen parte de la invención del famoso Mato Boyardo, de donde también tejió su tela el cristiano poeta Ludovico Ariosto, al cual, si aquí le hallo, ya que habla en otra lengua que la suya, no le guardaré respeto alguno; pero si habla en su idioma, le pondré sobre mi cabeza. Pues yo le tengo en italiano, dijo el barbero, mas no le entiendo. Ni aun fuera bien que vos le entendiérais, respondió el cura; y aquí le perdonáramos al señor capitán, que no le hubiera traído a España, y hecho castellano; que le quitó mucho de su natural valor, y lo mismo harán todos aquellos que los libros de verso quisieren volver en otra lengua, que por mucho cuidado que pongan y habilidad que muestren, jamás llegarán al punto que ellos tienen en su primer nacimiento. Digo, en efecto, que este libro y todos los que se hallaren, que tratan de estas cosas de Francia, se echen y depositen en un pozo seco, hasta que con más acuerdo se vea lo que se ha de hacer de ellos, exceptuando a un Bernardo del Carpio, que anda por ahí, y a otro llamado Roncesvalles, que estos, en llegando a mis manos, han de estar en las del alma, y de ellas en las del fuego, sin remisión alguna.
+Todo lo confirmó el barbero, y lo tuvo por bien y por cosa muy acertada, por entender que era el cura tan buen cristiano y tan amigo de la verdad, que no diría otra cosa por todas las del mundo. Y abriendo otro libro, vió que era Palmerín de Oliva, y junto a él estaba otro que se llamaba Palmerín de Inglaterra, lo cual, visto por el licenciado, dijo: esa oliva se haga luego rajas y se queme, que aun no queden de ella las cenizas, y esa palma de Inglaterra se guarde y se conserve como cosa única, y se haga para ella otra caja como la que halló Alejandro en los despojos de Darío, que la diputó para guardar en ellas las obras del poeta Homero. Este libro, señor compadre, tiene autoridad por dos cosas: la una porque él por sí es muy bueno, y la otra, porque es fama que le compuso un discreto rey de Portugal. Todas las aventuras del castillo de Miraguarda son bonísimas y de grande artificio, las razones cortesanas y claras que guardan y miran el decoro del que habla, con mucha propiedad y entendimiento. Digo, pues, salvo vuestro buen parecer, señor maese Nicolás, que este y Amadís de Gaula queden libres del fuego, y todos los demás, sin hacer más cala y cata, perezcan. No, señor compadre, replicó el Barbero, que este que aquí tengo es el afamado Don Belianís. Pues ese, replicó el cura, con la segunda y tercera y cuarta parte, tienen necesidad de un poco de ruibarbo para purgar la demasiada cólera suya, y es menester quitarles todo aquello del castillo de la fama, y otras impertinencias de más importancia, para lo cual se les da término ultramarino, y como se enmendaren, así se usará con ellos de misericordia o de justicia; y en tanto tenedlos vos, compadre, en vuestra casa; mas no lo dejéis leer a ninguno.
+Que me place, respondió el barbero, y sin querer cansarse más en leer libros de caballerías, mandó al ama que tomase todos los grandes, y diese con ellos en el corral. No lo dijo a tonta ni a sorda, sin o a quien tenía más gana de quemarlos que de echar una tela por grande y delgada que fuera; y asiendo casi ocho de una vez, los arrojó por la ventana. Por tomar muchos juntos se le cayó uno a los pies del barbero, que le tomó gana de ver de quién era, y vió que decía: Historia del famoso caballero Tirante el Blanco. Válame Dios dijo el cura, dando una gran voz; ¡que aquí esté Tirante Blanco! Dádmele acá, compadre, que hago cuenta que he hallado en él un tesoro de contento y una mina de pasatiempos. Aquí está don Kirieleison de Montalván, valeroso caballero, y su hermano Tomás de Montalván y el caballero Fonseca, con la batalla que el valiente de Tirante hizo con Alano, y las agudezas de la doncella Placerdemivida, con los amores y embustes de la viuda Reposada, y la señora emperatriz enamorada de Hipólito su escudero. Dígoos verdad, señor compadre, que por su estilo es este el mejor libro del mundo; aquí comen los caballeros, y duermen y mueren en sus camas, y hacen testamento antes de su muerte, con otras cosas de que todos los demás libros de este género carecen. Con todo eso, os digo que merecía el que lo compuso, pues no hizo tantas necedades de industria, que le echaran a galeras por todos los días de su vida.
+Llevadle a casa y leedle, y veréis que es verdad cuanto de él os he dicho. Así será,
+respondió el barbero; pero ¿qué haremos de estos pequeños libros que quedan? Estos, dijo el cura, no deben de ser de caballerías, sino de poesía; y abriendo uno, vió que era la Diana, de Jorge de Montemayor, y dijo (creyendo que todos los demás eran del mismo género:) estos no merecen ser quemados como los demás, porque no hacen ni harán el daño que los de caballerías han hecho, que son libros de entretenimiento, sin perjuicio de tercero. ¡Ay, señor!, dijo la sobrina. Bien los puede vuestra merced mandar quemar como a los demás, porque no sería mucho que habiendo sanado mi señor tío de la enfermedad caballeresca, leyendo estos se le antojase de hacerse pastor, y andarse por los bosques y prados cantando y tañendo, y lo que sería peor, hacerse poeta, que, según dicen, es enfermedad incurable y pegadiza. Verdad dice esta doncella, dijo el cura, y será bien, quitarle a nuestro amigo este tropiezo y ocasión de delante.
+Y pues comenzamos por la Diana de Montemayor, soy de parecer que no se queme, sino que se le quite todo aquello que trata de la sabia Felicia y de la agua encantada, y casi todos los versos mayores, y quédesele en hora buena la prosa y la honra de ser primero en semejantes libros. Este que se sigue, dijo el barbero, es la Diana llamada Segunda del Salmantino; y este otro, que tiene el mismo nombre, cuyo autor es Gil Polo. Pues la del Salmantino, respondió el cura, acompañe y acreciente el número de los condenados al corral, y la de Gil Polo se guarde como si fuera del mismo Apolo; y pase adelante, señor compadre, y démonos priesa, que se va haciendo tarde. Este libro es, dijo el barbero abriendo otro, los diez libros de Fortuna de Amor, compuesto por Antonio de Lofraso, poeta sardo. Por las órdenes que recibí, dijo el cura, que desde que Apolo fue Apolo, y las musas musas, y los poetas poetas, tan gracioso ni tan disparatado libro como ese no se ha compuesto, y que por su camino es el mejor y el más único de cuantos de este género han salido a la luz del mundo; y el que no le ha leído puede hacer cuenta que no ha leído jamás cosa de gusto. Dádmele acá, compadre, que precio más de haberle hallado, que si me dieran una sotana de raja de Florencia. Púsole aparte con grandísimo gusto, y el Barbero prosiguió diciendo: Estos que siguen son el Pastor de Iberia, Ninfas de Henares y Desengaño de Zelos.
+Pues no hay más que hacer, dijo el cura, sino entregárselos al brazo seglar del ama, y no se me pregunte el porqué, que sería nunca acabar. Este que viene es el Pastor de Filida. No es ese pastor, dijo el cura, sino muy discreto cortesano; guárdese como joya preciosa. Este grande que aquí viene se intitula, dijo el barbero, Tesoro de varias poesías. Como ellas no fueran tantas, dijo el cura, fueran más estimadas; menester es que este libro se escarde y limpie de algunas bajezas que entre sus grandezas tiene; guárdese, porque su autor es amigo mío, y por respeto de otras más heroicas y levantadas obras que ha escrito. Este es, siguió el barbero, el Cancionero de López Maldonado. También el autor de ese libro, replicó el cura, es grande amigo mío, y sus versos en su boca admiran a quien los oye, y tal es la suavidad de la voz con que los canta, que encanta; algo largo es en las églogas, pero nunca lo bueno fue mucho, guárdese con los escogidos. Pero ¿qué libro es ese que está junto a él? La Galatea de Miguel de Cervantes, dijo el barbero. Muchos años ha que es grande amigo mío ese Cervantes, y sé que es más versado en desdichas que en versos.
+Su libro tiene algo de buena invención, propone algo y no concluye nada. Es menester esperar la segunda parte que promete; quizá con la enmienda alcanzará del todo la misericordia que ahora se le niega; y entre tanto que esto se vé, tenedle recluso en vuestra posada, señor compadre. Que me place, respondió el barbero; y aquí vienen tres todos juntos: la Araucana de don Alonso de Ercilla; la Austríada de don Juan Rufo, jurado de Córdoba y el Montserrat de Cristóbal de Virues, poeta valenciano. Todos estos tres libros, dijo el cura, son los mejores que en verso heroico, en lengua castellana están escritos, y pueden competir con los más famosos de Italia: guárdense como las más ricas prendas de poesía que tiene España. Cansóse el cura de ver más libros, y así a carga cerrada, quiso que todos los demás se quemasen; pero ya tenía abierto uno el barbero que se llamaba Las lágrimas de Angélica. Lloráralas yo, dijo el cura en oyendo el nombre, si tal libro
+hubiera mandado quemar, porque su autor fue uno de los famosos poetas del mundo, no sólo de España, y fue felicísimo en la traducción de algunas fábulas de Ovidio.
+Capítulo 7: De la segunda salida de nuestro buen caballero D. Quijote de la Mancha
+Estando en esto, comenzó a dar voces Don Quijote, diciendo: aquí, aquí, valerosos caballeros, aquí es menester mostrar la fuerza de vuestros valerosos brazos, que los cortesanos llevan lo mejor del torneo. Por acudir a este ruido y estruendo no se pasó adelante con el escrutinio de los demás libros que quedaban, y así se cree que fueron al fuego sin ser vistos ni oídos, la Carolea y León de España, con los Hechos del emperador, compuestos por don Luis de Avila, que sin duda debían de estar entre los que quedaban, y quizá, si el cura los viera, no pasaran por tan rigurosa sentencia. Cuando llegaron a Don Quijote, ya él estaba levantado de la cama, y proseguía en sus voces y en sus desatinos, dando cuchilladas y reveses a todas partes, estando tan despierto como si nunca hubiera dormido. Abrazáronse con él, y por fuerza le volvieron al lecho; y después que hubo sosegado un poco, volviéndose a hablar con el cura, le dijo: por cierto, señor Arzobispo Turpin, que es gran mengua de los que nos llamamos doce Pares dejar tan sin más ni más llevar la victoria de este torneo a los caballeros cortesanos, habiendo nosotros los aventureros ganado el prez, en los tres días antecedentes. Calle vuestra merced, señor compadre, dijo el cura, que Dios será servido que la suerte se mude, y que lo que hoy se pierde se gane mañaa; y atienda vuestra merced a su salud por ahora, que me parece que debe de estar demasiadamente cansado, si ya no es que está mal ferido. Ferido no, dijo Don Quijote; pero molido y quebrantado no hay duda en ello, porque aquel astardo de don Roldán me ha molido a palos con el tronco de una encina, y todo de envidia, porque ve que yo solo soy el opuesto de sus valentías; mas no me llamaría yo Reinaldos de Montalbán, si en levantándome de este lecho no me lo pagare, a pesar de todos sus encantamientos; y por ahora tráigame de yantar, que sé que es lo que más me hará al caso, y quédese lo del vengarme a mi cargo. Hiciéronlo así, diéronle de comer, y quedóse otra vez dormido, y ellos admirados de su locura.
+Aquella noche quemó y abrasó el ama cuantos libros había en el corral y en toda la casa, y tales debieron de arder, que merecían guardarse en perpetuos archivos; mas no lo permitió su suerte y la pereza del escrutinador, y así se cumplió el refrán en ellos, de que pagan a veces justos por pecadores. Uno de los remedios que el cura y el barbero dieron por entonces para el mal de su amigo, fue que le murasen y tapiasen el aposento de los libros, porque cuando se levantase no los hallase (quizá quitando la causa cesaría el efecto), y que dijesen que uun encantador se los había llevado, y el aposento y todo. Y así fue hecho con mucha presteza.
+De allí a dos días se levantó Don Quijote, y lo primero que hizo fue ir a ver sus libros; y como no hallaba el aposento donde le había dejado, andaba de una a otra parte buscándole. Llegaba adonde solía tener la puerta, y tentábala con las manos, y volvía y revolvía los ojos sin decir palabra; pero al cabo de una buena pieza, preguntó a su ama que hacía qué parte estaba el aposento de sus libros. El ama, que ya estaba bien advertida de lo que había de responder, le dijo: ¿qué aposento, o qué anda buscando vuestra merced? Ya no hay aposento ni libros en esta casa porque todo se lo llevó el mismo diablo. No era el diablo, replicó la sobrina, sino un encantador que vino sobre una nube una noche después del día que vuestra merced de aquí se partió, y apeándose de una sierpe en que venía caballero, entró en el aposento; y no sé lo que hizo dentro, que a cabo de poca pieza salió volando por el tejado, y dejó la casa llena de humo; y cuando acordamos a mirar lo que dejaba hecho, no vimos libros ni aposento alguno; sólo se nos acuerda muy bien a mí y al ama, que al tiempo de partirse aquel mal viejo, dijo en altas voces, que por enemistad secreta que tenía al dueño de aquellos libros y aposento, dejaba hecho el daño en aquella casa que después se vería; dijo también qeu se llamaba el sabio Muñatón. Fristón diría, dijo Don Quijote. No sé, respondió el ama, si se llamaba Frestón o Fritón; sólo sé que acabó en ton su nombre. Así es, dijo Don Quijote, que ese es un sabio encantador, grande enemigo mío, que me tiene ojeriza porque sabe, por sus artes y letras, que tengo de venir, andando los tiempos, a pelear en singular batalla con un caballero a quien él favorece, y le tengo de vencer sin que él
+lo pueda estorbar, y por esto procura hacerme todos los sinsabores que puede; y mándole yo, qué mal podrá él contradecir ni evitar lo que por el cielo está ordenado. ¿Quién duda de eso? dijo la sobrina. Pero ¿quién le mete a vuestra merced, señor tío, en esas pendencias? ¿No será mejor estarse pacífico en su casa, y no irse por el mundo a buscar pan de trastrigo, sin considerar que muchos van por lana y vuelven trasquilados? ¡Oh, sobrina mía, respondió Don Quijote, y cuán mal que estás en la cuenta! Primero que a mí me trasquilen, tendré peladas y quitadas las barbas a cuantos imaginaren tocarme en la punta de un solo cabello. No quisieron las dos replicarle más, porque vieron que se le encendía la cólera. Es, pues, el caso que él estuvo quince días en casa muy sosegado, sin dar muestras de querer secundar sus primeros devaneos, en los cuales días pasó graciosísimos cuentos con sus dos compadres el cura y el barbero, sobre que él decía que la cosa de que más necesidad tenía el mundo era de caballeros andantes, y de que en él se resucitase la caballería andantesca. El cura algunas veces le contradecía y otras concedía, porque si no guardaba este artificio, no había poder averiguarse con él. En este tiempo solicitó Don Quijote a un labrador vecino suyo, hombre de bien (si es que ese título se puede dar al que es pobre), pero de muy poca sal en la mollera. En resolución, tanto le dijo, tanto le persuadió y prometió, que el pobre villano se determinó de salir con él y servirle de escudero. Decíale entre otras cosas Don Quijote, que se dispusiese a ir con él de buena gana, porque tal vez le podía suceder aventura que ganase en quítame allá esas pajas, alguna ínsula, y le dejase a él por gobernador de ella. Con estas promesas y otras tales, Sancho Panza (que así se llamaba el labrador) dejó su mujer e hijos, y asentó por escudero de su vecino. Dió luego Don Quijote orden en buscar dineros; y vendiendo una cosa, y empeñando otra, y malbaratándolas todas, allegó una razonable cantidad. Acomodóse asimismo de una rodela que pidió prestada a un su amigo, y pertrechando a su rota celada lo mejor que pudo, avisó a su escudero Sancho del día y la hora que pensaba ponerse en camino, para que él se acomodase de lo que viese que más le era menester; sobre todo, le encargó que llevase alforjas. El dijo que sí llevaría, y que asimismo pensaba llevar un asno que tenía muy bueno, porque él no estaba ducho a andar mucho a pie. En lo del asno reparó un poco Don Quijote, imaginando si se le acordaba si algún caballero andante había traido escudero caballero asnalmente; pero nunca le vino alguno a la memoria; mas con todo esto, determinó que le llevase, con presupuesto de acomodarle de más honrada caballería en habiendo ocasión para ello, quitándole el caballo al primer descortés caballero que topase. Proveyóse de camisas y de las demás cosas que él pudo, conforme al consejo que el ventero le había dado.
+Todo lo cual hecho y cumplido, sin despedirse Panza de sus hijos y mujer, ni Don Quijote de su ama y sobrina, una noche se salieron del lugar sin que persona los viese, en la cual caminaron tanto, que al amanecer se tuvieron por seguros de que no los hallarían aunque les buscasen. Iba Sancho Panza sobre su jumento como un patriarca, con sus alforjas y su bota, y con mucho deseo de verse ya gobernador de la ínsula que su amo le había prometido. Acertó Don Quijote a tomar la misma derrota y camino que el que él había antes tomado en su primer viaje, que fue por el Campo de Montiel, por el cual caminaba con menos pesadumbre que la vez pasada, porque por ser la hora de lamañana y herirles a soslayo los rayos del sol, no les fatigaban. Dijo en esto Sancho Panza a su amo: mire vuestra merced, señor caballero andante, que no se le olvide lo que de la ínsula me tiene prometido, que yo la sabré gobernar por grande que sea. A lo cual le respondió Don Quijote: has de saber, amigo Sancho Panza, que fue costumbre muy usada de los caballeros andantes antiguos hacer gobernadores a sus escuderos de las ínsulas o reinos que ganaban; y yo tengo determinado de que por mí no falte tan agradecida usanza; antes pienso aventajarme en ella, porque ellos algunas veces, y quizá las más, esperaban a que sus escuderos fuesen viejos, y ya después de hartos de servir, y de llevar malos días y peores noches, les daban algún título de conde; o por lo menos de marqués de algún valle o provincia de poco más o menos; pero si tú vives y yo vivo, bien podría ser que antes de seis días ganase yo tal reino, que
+tuviese otros a él adherentes, que viniesen de molde para coronarte por rey de uno de ellos. Y no lo tengas a mucho, que cosas y casos acontecen a los tales caballeros, por modos tan nunca vistos ni pensados, que con facilidad te podría dar aún más de lo que te prometo. De esa manera, respondió Sancho Panza, si yo fuese rey por algún milagro de los que vuestra merced dice, por lo menos Juana Gutiérrez, mi oislo, vendría a ser reina y mis hijos infantes. ¿Pues quién lo duda? respondión Don Quijote. Yo lo dudo, respondió Sancho Panza, porque tengo para mí que aunque lloviese Dios reinos sobre la tierra, ninguno asentaría bien sobre la cabeza de Mari Gutiérrez. Sepa, señor, que no vale dos maravedís para reina; condesa le caerá mejor, y aún Dios y ayuda. Encomiéndalo tú a Dios, Sancho, respondió Don Quijote, que él le dará lo que más le conventa; pero no apoques tu ánimo tanto que te vengas a contentar con menos que con ser adelantado. No haré, señor mío, respondió Sancho, y más teniendo tan principal amo en vuestra merced, que me sabrá dar todo aquello que me esté bien y yo pueda llevar.
+Capítulo 8: Del buen suceso que el valeroso Don Quijote tuvo en la espantable y jamás imaginada aventura de los molinos de viento, con otros sucesos dignos de felice recordación
+En esto descubrieron treinta o cuarenta molinos de viento que hay en aquel campo, y así como Don Quijote los vió, dijo a su escudero: la ventura va guiando nuestras cosas mejor de lo que acertáramos a desear; porque ves allí, amigo Sancho Panza, donde se descubren treinta o poco más desaforados gigantes con quien pienso hacer batalla, y quitarles a todos las vidas, con cuyos despojos comenzaremos a enriquecer: que esta es buena guerra, y es gran servicio de Dios quitar tan mala simiente de sobre la faz de la tierra. ¿Qué gigantes? dijo Sancho Panza. Aquellos que allí ves, respondió su amo, de los brazos largos, que los suelen tener algunos de casi dos leguas. Mire vuestra merced, respondió Sancho, que aquellos que allí se parecen no son gigantes, sino molinos de viento, y lo que en ellos parecen brazos son las aspas, que volteadas del viento hacen andar la piedra del molino. Bien parece, respondió Don Quijote, que no estás cursado en esto de las aventuras; ellos son gigantes, y si tienes miedo quítate de ahí, y ponte en oración en el espacio que yo voy a entrar con ellos en fiera y desigual batalla. Y diciendo esto, dio de espuelas a su caballo Rocinante, sin atender a las voces que su escudero Sancho le daba, advirtiéndole que sin duda alguna eran molinos de viento, y no gigantes aquellos que iba a acometer. Pero él iba tan puesto en que eran gigantes, que ni oía las voces de su escudero Sancho, ni echaba de ver, aunque estaba ya bien cerca, lo que eran; antes iba diciendo en voces altas: non fuyades, cobardes y viles criaturas, que un solo caballero es el que os acomete. Levantóse en esto un poco de viento y las grandes aspas comenzaron a moverse, lo cual visto por Don Quijote, dijo: pues aunque mováis más brazos que los del gigante Briareo, me lo habéis de pagar.
+Y en diciendo esto, y encomendándose de todo corazón a su señora Dulcinea, pidiéndole que en tal trance le socorriese, bien cubierto de su rodela, con la lanza en ristre, arremetió a todo el galope de Rocinante, y embistió con el primer molino que estaba delante; y dándole una lanzada en el aspa, la volvió el viento con tanta furia, que hizo la lanza pedazos, llevándose tras sí al caballo y al caballero, que fue rodando muy maltrecho por el campo. Acudió Sancho Panza a socorrerle a todo el correr de su asno, y cuando llegó, halló que no se podía menear, tal fue el golpe que dio con él Rocinante. ¡Válame Dios! dijo Sancho; ¿no le dije yo a vuestra merced que mirase bien lo que hacía, que no eran sino molinos de viento, y no los podía ignorar sino quien llevase otros tales en la cabeza? Calla, amigo Sancho, respondió Don Quijote, que las cosas de la guerra, más que otras, están sujetas a continua mudanza, cuanto más que yo pienso, y es así verdad, que aquel sabio Frestón, que me robó el aposento y los libros, ha vuelto estos gigantes en molinos por quitarme la gloria de su vencimiento: tal es la enemistad que me tiene; mas al cabo al cabo han de poder poco sus malas artes contra la voluntad de mi espada. Dios lo haga como puede, respondió Sancho Panza. Y ayudándole a levantar, tornó a subir sobre Rocinante, que medio despaldado estaba; y hablando en la pasada aventura, siguieron el camino del puerto Lápice, porque allí decía Don Quijote que no era posible dejar de hallarse muchas y diversas aventuras, por ser lugar muy pasajero; sino que iba muy pesaroso por haberle faltado la lanza y diciéndoselo a su escudero, dijo: yo me acuerdo haber leído que un caballero español, llamado Diego Pérez de Vargas, habiéndosele en una batalla roto la espada, desgajó de una encina un pesado ramo o tronco, y con él hizo tales cosas aquel día, y machacó tantos moros, que le quedó por sobrenombre Machuca, y así él, como sus descendientes, se llamaron desde aquel día en adelante Vargas y Machuca. Hete dicho esto, porque de la primera encina o roble que se me depare, pienso desgajar otro tronco tal y bueno como aquel, que me imagino y pienso hacer con él tales hazañas, que tú te tengas por bien afortunado de haber merecido venir a verlas, y aser testigo de cosas que apenas podrán ser creídas. A la mano de Dios, dijo Sancho, yo lo creo todo así como vuestra merced lo dice; pero enderécese un poco, que parece que va de medio lado, y debe de ser del molimiento de la caída. Así es
+la verdad, respondió Don Quijote; y si no me quejo del dolor, es porque no es dado a los caballeros andantes quejarse de herida alguna, aunque se le salgan las tripas por ella. Si eso es así, no tengo yo que replicar, respondió Sancho; pero sabe Dios si yo me holgara que vuestra merced se quejara cuando alguna cosa le doliera. De mí sé decir, que me he de quejar del más pequeño dolor que tenga, si ya no se entiende también con los escuderos de los caballeros andantes eso del no quejarse. No se dejó de reír Don Quijote de la simplicidad de su escudero; y así le declaró que podía muy bien quejarse, como y cuando quisiese, sin gana o con ella, que hasta entonces no había leído cosa en contrario en la orden de caballería. Díjole Sancho que mirase que era hora de comer. Respondióle su amo que por entonces no le hacía menester; que comiese él cuando se le antojase. Con esta licencia se acomodó Sancho lo mejor que pudo sobre su jumento, y sacando de las alforjas lo que en ellas había puesto, iba caminando y comiendo detrás de su amo muy despacio, y de cuando en cuando empinaba la bota con tanto gusto, que le pudiera envidiar el más regalado bodegonero de Málaga. Y en tanto que él iba de aquella manera menudeando tragos, no se le acordaba de ninguna promesa que su amo le hubiese hecho, ni tenía por ningún trabajo, sino por mucho descanso, andar buscando las aventuras por peligrosas que fuesen. En resolución, aquella noche la pasaron entre unos árboles, y del uno de ellos desgajó Don Quijote un ramo seco, que casi le podía servir de lanza, y puso en él el hierro que quitó de la que se le había quebrado. Toda aquella noche no durmió Don Quijote, pensando en su señora Dulcinea, por acomodarse a lo que había leído en sus libros, cuando los caballeros pasaban sin dormir muchas noches en las florestas y despoblados, entretenidos en las memorias de sus señoras.
+No la pasó así Sancho Panza, que como tenía el estómago lleno, y no de agua de chicoria, de un sueño se la llevó toda, y no fueran parte para despertarle, si su amo no le llamara, los rayos del sol que le daban en el rostro, ni el canto de las aves, que muchas y muy regocijadamente la venida del nuevo día saludaban. Al levantarse dio un tiento a la bota, y hallóla algo más flaca que la noche antes, y afligiósele el corazón por parecerle que no llevaban camino de remediar tan presto su falta. No quiso desayunarse Don Quijote porque como está dicho, dio en sustentarse de sabrosas memorias.
+Tornaron a su comenzado camino del puerto Lápice, y a hora de las tres del día le descubrieron. Aquí, dijo en viéndole Don Quijote, podemos, hermano Sancho Panza, meter las manos hasta los codos en esto que llaman aventuras, mas advierte que, aunque me veas en los mayores peligros del mundo, no has de poner mano a tu espada para defenderme, si ya no vieres que los que me ofenden es canalla y gente baja, que en tal caso bien puedes ayudarme; pero si fueren caballeros, en ninguna manera te es lícito ni concedido por las leyes de caballería que me ayudes, hasta que seas armado caballero. Por cierto, señor, respondió Sancho, que vuestra merced será muy bien obedecido en esto, y más que yo de mío me soy pacífico y enemigo de meterme en ruidos y pendencias; bien es verdad que en lo que tocare a defender mi persona no tendré mucha cuenta con esas leyes, pues las divinas y humanas permiten que cada uno se defienda de quien quisiere agraviarle. No digo yo menos, respondió Don Quijote; pero en esto de ayudarme contra caballeros, has de tener a raya tus naturales ímpetus. Digo que sí lo haré, respondió Sancho, y que guardaré ese precepto tan bien como el día del domingo. Estando en estas razones, asomaron por el camino dos frailes de la orden de San Benito, caballeros sobre dos dromedarios, que no eran más pequeñas dos mulas en que venían. Traían sus anteojos de camino y sus quitasoles. Detrás de ellos venía un coche con cuatro o cinco de a caballo que les acompañaban, y dos mozos de mulas a pie. Venía en el coche, como después se supo, una señora vizcaína que ia a Sevilla, donde estaba su marido que pasaba a las Indias con muy honroso cargo. No venían los frailes con ella, aunque iban el mismo camino; mas apenas los divisó Don Quijote, cuando dijo a su escudero: o yo me engaño, o esta ha de ser la más famosa aventura que se haya visto, porque aquellos bultos negros que allí parecen, deben ser, y son sin duda, algunos encantadores que llevan
+hurtada alguna princesa en aquel coche, y es menester deshacer este tuerto a todo mi poderío. Peor será esto que los molinos de viento, dijo Sancho. Mire señor, que aquellos son frailes de San Benito, y el coche debe de ser de alguna gente pasajera: mire que digo que mire bien lo que hace, no sea el diablo que le engañe. Ya te he dicho, Sancho, respondió Don Quijote, que sabes poco de achaques de aventuras: lo que yo digo es verdad, y ahora lo verás. Y diciendo esto se adelantó, y se puso en la mitad del camino por donde los frailes venían, y en llegando tan cerca que a él le pareció que le podían oír lo que dijese, en alta voz dijo: gente endiablada y descomunal, dejad luego al punto las altas princesas que en ese coche lleváis forzadas, si no, aparejáos a recibir presta muerte por justo castigo de vuestras malas obras.
+Detuvieron los frailes las riendas, y quedaron admirados, así de la figura de Don Quijote, como de sus razones; a las cuales respondieron: señor caballero, nosotros no somos endiablados ni descomunales, sino dos religiosos de San Benito, que vamos a nuestro camino, y no sabemos si en este coche vienen o no ningunas forzadas princesas. Para conmigo no hay palabras blandas, que ya yo os conozco, fementida canalla, dijo Don Quijote. Y sin esperar más respuesta, picó a Rocinante, y la lanza baja arremetió contra el primer fraile con tanta furia y denuedo, que si el fraile no se dejara caer de la mula, él le hiciera venir al suelo mal de su grado, y aun mal ferido si no cayera muerto. El segundo religioso, que vio del modo que trataban a su compañero, puso piernas al castillo de su buena mula, y comenzó a correr por aquella campaña más ligero que el mismo viento. Sancho Panza que vio en el suelo al fraile, apeándose ligeramente de su asno, arremetió a él y le comenzó a quitar los hábitos. Llegaron en esto dos mozos de los frailes, y preguntáronle que por qué le desnudaba. Respondióles Sancho que aquello le tocaba a él legítimamente, como despojos de la batalla que su señor Don Quijote había ganado. Los mozos, que no sabían de burla, ni entendían aquello de despojos ni batallas, viendo que ya Don Quijote estaba desviado de allí, hablando con las que en el coche venían, arremetieron con Sancho, y dieron con él en el suelo; y sin dejarle pelo en las barbas le molieron a coces y le dejaron tendido en el suelo sin aliento ni sentido: y sin detenerse un punto, tornó a subir el fraile, todo temeroso y acobardado y sin color en el rostro y cuando se vio a caballo picó tras su compañero, que un buen espacio de allí le estaba aguardando, y esperando en qué paraba aquel sobresalto; y sin querer aguardar el fin de todo aquel comenzado suceso, siguieron su camino haciéndose más cruces que si llevaran el diablo a las espaldas. Don Quijote estaba, como se ha dicho, hablando con la señora del coche, diciéndole: la vuestra fermosura, señora mía, puede facer de su persona lo que más le viniera en talante, porque ya la soberbia de vuestros robadores yace por el suelo derribada por este mi fuerte brazo; y porque no penéis por saber el nombre de vuestro libertador, sabed que yo me llamo Don Quijote de la Mancha, caballero andante y aventurero, y cautivo de la sin par y hermosa doña Dulcinea del Toboso; y en pago del beneficio que de mí habéis recibido o quiero otra cosa sino que volváis al Toboso, y que de mi parte os presentéis ante esta señora, y le digáis lo que por vuestra libertad he fecho. Todo esto que Don Quijote decía, escuchaba un escudero de los que el coche acompañaban, que era vizcaíno; el cual, viendo que no quería dejar pasar el coche adelante, sino que decía que luego había de dar la vuelta al Toboso, se fue para Don Quijote, y asiéndole de la lanza le dijo en mala lengua castellana, y peor vizcaína, de esta manera: anda, caballero, que mal andes; por el Dios que crióme, que si no dejas coche, así te matas como estás ahí vizcaíno. Entendióle muy bien Don Quijote, y con mucho sosiego le respondió: si fueras caballero, como no lo eres, ya yo hubiera castigado tu sandez y atrevimiento, cautiva criatura. A lo cual replicó el vizcaíno: ¿yo no caballero? juro a Dios tan mientes como cristiano; si lanza arrojas y espada sacas, el agua cuán presto verás que el gato llevas; vizcaíno por tierra, hidalgo por mar, hidalgo por el diablo; y mientes, que mira si otra dices cosa. Ahora lo veredes, dijo Agraves, respondió Don Quijote; y arrojando la lanza en el suelo, sacó su espada y embrazó su rodela, y arremetió al vizcaíno con determinación de quitarle la vida.
+El vizcaíno, que así le vio venir, aunque quisiera apearse de la mula, que por ser de las malas de alquiler, no había que fiar en ella, no pudo hacer otra cosa sino sacar su espada; pero avínole bien que se halló junto al coche, de donde pudo tomar una almohada que le sirvió de escudo, y luego fueron el uno para el otro, como si fueran dos mortales enemigos. La demás gente quisiera ponerlos en paz; mas no pudo, porque decía el vizcaíno en sus mal trabadas razones, que si no le dejaban acabar su batalla, que él mismo había de matar a su ama y a toda la gente que se lo estorbase. La señora del coche, admirada y temerosa de lo que veía, hizo al cochero que se desviase de allí algún poco, y desde lejos se puso a mirar la rigurosa contienda, en el discurso de la cual dio el vizcaíno una gran cuchillada a Don Quijote encima de un hombro por encima de la rodela, que a dársela sin defensa, le abriera hasta la cintura. Don Quijote, que sintió la pesadumbre de aquel desaforado golpe, dio una gran voz, diciendo: ¡oh señora de mi alma, Dulcinea, flor de la fermosura, socorred a este vuestro caballero, que por satisfacer a la vuestra mucha bondad, en este riguroso trance se halla! El decir esto, y el apretar la espada, y el cubrirse bien de su rodela, y el arremeter al vizcaíno, todo fue en un tiempo, llevando determinación de aventurarlo todo a la de un solo golpe. El vizcaíno, que así le vio venir contra él, bien entendió por su denuedo su coraje, y determinó hacer lo mismo que Don Quijote: y así le aguardó bien cubierto de su almohada, sin poder rodear la mula a una ni a otra parte, que ya de puro cansada, y no hecha a semejantes niñerías, no podía dar un paso. Venía, pues, como se ha dicho, Don Quijote contra el cauto vizcaíno con la espada en alto, con determinación de abrirle por medio, y el vizcaíno le aguardaba asimismo, levantada la espada y aforrado con su almohada, y todos los circunstantes estaban temerosos y colgados de lo que había de suceder de aquellos tamaños golpes con que se amenazaban, y la señora del coche y las demás criadas suyas estaban haciendo mil votos y ofrecimientos a todas las imágenes y casas de devoción de España, porque Dios librase a su escudero y a ellas de aquel tan grande peligro en que se hallaban. Pero está el daño de todo esto, que en este punto y término deja el autor de esta historia esta batalla, disculpándose que no halló más escrito destas hazañas de Don Quijote, de las que deja referidas. Bien es verdad que el segundo autor de esta obra no quiso creer que tan curiosa historia estuviese entregada a las leyes del olvido, ni que hubiesen sido tan poco curiosos los ingenios de la Mancha que no tuviesen en sus archivos o en sus escritorios algunos papeles que de este famoso caballero tratasen; y así, con esta imaginación, no se desesperó de hallar el fin de esta apacible historia, el cual, siéndole el cielo favorable, le halló del modo que se contará en el siguiente capítulo.
+Capítulo 9: Donde se concluye y da fin a la estupenda batalla que el gallardo vizcaíno y el valiente manchego tuvieron
+Dejamos en el anterior capítulo al valeroso vizcaíno y al famoso Don Quijote con las espadas altas y desnudas, en guisa de descargar dos furibundos fendientes, tales que si en lleno se acertaban, por lo menos se dividirían y henderían de arriba abajo, y abrirían como una granada, y que en aquel punto tan dudoso paró y quedó destroncada tan sabrosa historia, sin que nos diese noticia su autor dónde se podría hallar lo que de ella faltaba. Causóme esto mucha pesadumbre, porque el gusto de haber leido tan poco, se volvía en disgustos de pensar el mal camino que se ofrecía para hallar lo mucho que a mi parecer faltaba de tan sabroso cuento. Parecióme cosa imposible y fuera de toda buena costumbre, que a tan buen caballero le hubiese faltado algún sabio que tomara a cargo en escribir sus nunca vistas hazañas; cosa que no faltó a ninguno de los caballeros andantes, de los que dicen las gentes que van a sus aventuras: porque cada uno de ellos tenía uno o dos sabios como de molde, que no solamente escribían sus hechos, sino que pintaban sus más mínimos pensamientos y niñerías por más escondidas que fuesen; y no había de ser tan desdichado tan buen caballero, que le faltase a él lo que sobró a Platir y a otros semejantes. Y así no podía inclinarme a creer que tan gallarda historia hubiese quedado manca y estropeada, y echada la culpa a la malignidad del tiempo, devorador y consumidor de todas las cosas, el cual o la tenía oculta o consumida. Por otra parte, me parecía que pues entre sus libros se habían hallado tan modernos como Desengaño de celos, y Ninfas y pastores de Henares, que tambíen su historia debía de ser moderna, y que ya que no estuviese escrita, estaría en la memoria de la gente de su aldea y de las a ellas circunvecinas. Esta imaginación me traía confuso y deseoso de saber real y verdaderamente toda la vida y milagros de nuestro famoso español Don Quijote de la Mancha, luz y espejo de la caballería manchega, y el primero que en nuestra edad y en estos tan calamitosos tiempos se puso al trabajo y ejercicio de las andantes armas, y el de desfacer agravios, socorrer viudas, amparar doncellas, de aquellas que andaban con sus azotes y palafrenes, y con toda su virginidad a cuestas, de monte en monte y de valle en valle; que si no era que algún follón, o algún villano de hacha y capellina, o algún descomunal gigante las forzaba, doncella hubo en los pasados tiempos que al cabo de ochenta años, que en todos ellos no durmió un día debajo de tejado, se fue tan entera a la sepultura como la madre que la había parido. Digo, pues, que por estos y otros muchos respetos es digno nuestro gallardo Don Quijote de continuas y memorables alabanzas, y aun a mí no se me deben negar, por el trabajo y diligencia que puse en buscar el fin de esta agradable historia; aunque bien sé que si el cielo, el caso y la fortuna no me ayudaran, el mundo quedara falto y sin el pasatiempo y gusto, que bien casi dos horas podrá tener el que con atención la leyere. Pasó, pues, el hallarla en esta manera: estando yo un día en el Alcaná de Toledo, llegó un muchacho a vender unos cartapacios y papeles viejos a un sedero; y como soy aficionado a leer, aunque sean los papeles rotos de las calles, llevado de esta mi natural inclinación tomé un cartapacio de los que el muchacho vendía; vile con caracteres que conocí ser arábigos, y puesto que, aunque los conocía, no los sabía leer, anduve mirando si parecía por allí algún morisco aljamiado que los leyese; y no fue muy dificultoso hallar intérprete semejante, pues aunque le buscara de otra mejor y más antigua lengua le hallara. En fin, la suerte me deparó uno, que diciéndole mi deseo, y poniéndole el libro en las manos le abrió por medio, y leyendo un poco en él se comenzó a reír: preguntéle que de qué se reía, y respondióme que de una cosa que tenía aquel libro escrita en la margen por anotación. Díjele que me la dijese, y él sin dejar la risa dijo: está, como he dicho, aquí en el margen escrito esto: esta Dulcinea del Toboso, tantas veces, en esta historia referida, dicen que tuvo la mejor mano para salar puercos que otra mujer de toda la Mancha. Cuando yo oí decir Dulcinea del Toboso, quedé atónito y suspenso, porque luego se me representó que aquellos cartapacios conteían la historia de Don Quijote. con esta imaginación le di priesa que leyese el principio; y haciéndolo así, volviendo de improviso el arábigo en castellano, dijo que
+decía: Historia de Don Quijote de la Mancha, escrita por Cide Hamete Benengeli, historiador arábigo.
+Mucha discreción fue menester para disimular el contento que recibí cuando llegó a mis oídos el título del libro; y salteándosele al sedero, compré al muchacho todos los papeles y cartapacios por medio real, que si él tuviera discreción, y supiera que yo los deseaba, bien se pudiera prometer y llevar más de seis reales de la compra. Apartéme luego con el morisco por el claustro de la iglesia mayor, y roguéle me volviese aquellos cartapacios, todos los que trataban de Don Quijote, en lengua castellana, sin quitarles ni añadirles nada, ofreciéndole la paga que él quisiese. Contentóse con dos arrobas de pasas y dos fanegas de trigo, y prometió de traducirlos bien y fielmente, y con mucha brevedad, pero yo, por facilitar más el negocio y por no dejar de la mano tan buen hallazgo, le traje a mi casa, donde en poco más de mes y medio la tradujo toda del mismo modo que aquí se refiere. Estaba en el primer cartapacio pintada muy al natural la batalla de Don Quijote con el vizcaíno, puestos en la misma postura que la historia cuenta, levantadas las espadas, el uno cubierto de su rodela, el otro de la almohada, y la mula del vizcaíno tan al vivo, que estaba mostrando ser de alquiler a tiro de ballesta. Tenía a los pies el vizcaíno un título que decía: Don Sancho de Azpeitia que sin duda debía de ser su nombre, y a los pies de Rocinante estaba otro, que decía: Don Quijote: estaba Rocinante maravillosamente pintado, tan largo y tendido, tan atenuado y flaco, con tanto espinazo, tan hético confirmado, que mostraba bien al descubierto con cuánta advertencia y propiedad se le había puesto el nombre de Rocinante. Junto a él estaba Sancho Panza, que teía del cabestro a su asno, a los pies del cual estaba otro rótulo, que decía: Sancho Zancas; y debía de ser que tenía, a lo que mostraba la pintura, la barriga grande, el talle corto, y las zancas largas, y por esto se le debió de poner nombre de Panza y Zancas, que con estos dos sobrenombres se le llama algunas veces la historia. Otras algunas menudencias había que advertir; pero todas son de poca importancia y que no hacen al caso a la verdadera relación de la historia, que ninguna es mala como sea verdadera.
+Si a esta se le puede poner alguna objeción acerca de su verdad, no podrá ser otra sino haber sido su autor arábigo, siendo muy propio de los de aquella nación ser mentirosos aunque por ser tan nuestros enemigos, antes se puede entender haber quedado falto en ella que demasiado: y así me parece a mí, pues cuando pudiera y debiera extender la pluma en las alabanzas de tan buen caballero, parece que de industria las pasa en silencio; cosa mal hecha y peor pensada, habiendo y debiendo ser los historiadores puntuales, verdaderos y no nada apasionados, y que ni el interés ni el miedo, el rencor ni la afición, no les haga torcer del camino de la verdad, cuya madre es la historia, émula del tiempo, depósito de las acciones, testigo de lo pasado, ejemplo y aviso de lo presente, advertencia de lo porvenir. En esta sé que se hallará todo lo que se acertare a desear en la más apacible; y si algo bueno en ella faltare, para mí tengo que fue por culpa del galgo de su autor, antes que por falta del sujeto.
+En fin, su segunda parte siguiendo la traducción, continuaba de esta manera: puestas y levantadas en alto las cortadoras espadas de los dos valerosos y enojados combatientes, no parecía sino que estaban amenazando al cielo, a la tierra y al abismo: tal era el denuedo y continente que tenían. Y el primero que fue a descargar el golpe fue el colérico vizcaíno, el cual fue dado con tanta fuerza y tanta furia, que a no volvérsele la espada en el camino, aquel solo golpe fuera bastante para dar fin a su rigurosa contienda, y a todas las aventuras de nuestro caballero; mas la buena suerte, que para mayores cosas le tenía guardado, torció la espada de su contrario, de modo que aunque le acertó en el hombro izquierdo, no le hizo otro daño qeu desarmarle todo aquel lado, llevándole de camino gran parte de la celada con la mitad de la oreja, que todo ello con espantosa ruina vino al suelo, dejándole muy maltrecho. ¡Válame Dios, y quién será aquel que buenamente pueda contar ahora la rabia que entró en el corazón de nuestro manchego, viéndose parar de aquella manera! No se diga más, sino que fue de manera que se alzó de nuevo en los estribos, y apretando más la espada en las dos manos, con tal
+furia descargó sobre el vizcaíno, acertándole de lleno sobre la almohada y sobre la cabeza, que sin ser parte tan buena defensa, como si cayera sobre él una montaña, comenzó a echar sangre por las narices, y por la boca, y por los oídos, y a dar muestras de caer de la mula abajo, de donde cayera sin duda, si no se abrazara con el cuello; pero con todo eso sacó los pies de los estribos, y luego soltó los brazos, y la mula espantada del terrible golpe dio a correr por el campo, y a pocos corcovos dio con su dueño en tierra. Estábaselo con mucho sosiego mirando Don Quijote, y como lo vio caer, saltó de su caballo y con mucha ligereza se llegó a él, y poniéndole la punta de la espada en los ojos, le dijo que se rindiese; si no, que le cortaría la cabeza.
+Estaba el vizcaíno tan turbado que no podía responder palabra, y él lo pasara mal, según estaba ciego Don Quijote, si las señoras del coche, que hasta entonces con gran desmayo habían mirado la pendencia, no fueran adonde estaba y le pidieran con mucho encarecimiento les hiciera tan grande merced y favor de perdonar la vida a aquel su escudero; a lo cual Don Quijote respondió con mucho entono y gravedad: por cierto, fermosas señoras, yo soy muy contento de hacer lo que me pedís; mas ha de ser con una condición y concerto, y es que este caballero ma ha de prometer de ir al lugar del Toboso, y presentarse de mi parte ante la sin par doña Dulcinea, para que ella haga de él lo que más fuere de su voluntad. Las temerosas y desconsoladas señoras, sin entrar en cuenta de lo que Don Quijote pedía, y sin preguntar quién Dulcinea fuese, le prometieron que el escudero haría todo aquello que de su parte le fuese mandado: pues en fe de esa palabra, yo no le haré más daño, puesto que me lo tenía bien merecido.
+Capítulo 10: De los graciosos razonamientos que pasaron entre D. Quijote y Sancho Panza su escudero
+Ya en este tiempo se había levantado Sancho Panza algo maltratado de los mozos de los frailes, y había estado atento a la batalla de su señor Don Quijote, y rogaba a Dios en su corazón fuese servido de darle victoria y que en ella ganase alguna ínsula de donde le hiciese gobernador, como se lo había prometido. Viendo, pues, ya acabada la pendencia, y que su amo volvía a subir sobre Rocinante, llegó a tenerle el estribo, y antes que subiese se hincó de rodillas delante de él, y asiéndole de la mano, se la besó y le dijo: sea vuestra merced servido, señor Don Quijote mío, de darme el gobierno de la ínsula que en esta rigurosa pendencia se ha ganado, que por grande que sea, yo me siento con fuerzas de saberla gobernar tal y tan bien como otro que haya gobernado ínsulas en el mundo. A lo cual respondió Don Quijote: advertid, hermano Sancho, que esta aventura, y las a estas semejantes, no son aventuras de ínsulas, sino de encrucijadas, en las cuales no se gana otra cosa que sacar rota la cabeza, o una oreja menos; tened paciencia, que aventuras se ofrecerán, donde no solamente os pueda hacer gobernador, sino más adelante. Agradecióselo mucho Sancho, y besándole otra vez la mano y la falda de la loriga, le ayudó a subir sobre Rocinante, y él subió sobre su asno, y comenzó a seguir a su señor, que a paso tirado, sin despedirse ni hablar más con las del coche, se entró por un bosque que allí junto estaba.
+Seguíale Sancho a todo trote de su jumento; pero caminaba tanto Rocinante, que, viéndose quedar atrás, le fue forzoso dar voces a su amo, que se aguardase. Hízolo así Don Quijote, teniendo las riendas a Rocinante hasta que llegase su cansado escudero, el cual en llegando le dijo: paréceme, señor, que sería acertado irnos a retraer a alguna iglesia, que, según quedó maltrecho aquel con quien combatisteis, no será mucho que den noticia del caso a la Santa Hermandad, y nos prendan; y a fe que si lo hacen, que primero que salgamos de la cárcel, que nos ha de sudar el hopo. Calla, dijo Don Quijote. ¿Y dónde has visto tú o leído jamás que caballero andante haya sido puesto ante la justicia, por más homicidios que haya cometido? Yo no sé nada de omecillos, respondió Sancho, ni en mi vida le caté a ninguno; sólo sé que la Santa Hermandad tiene que ver con los que pelean en el campo, y en esotro no me entremeto. Pues no tengas pena, amigo, respondió Don Quijote, que yo te sacaré de las manos de los caldeos, cuanto más de las de la Hermandad. Pero dime por tu vida: ¿has tú visto más valeroso caballero que yo en todo lo descubierto de la tierra? ¿Has leído en historias otro que tenga ni haya tenido más brío en acometer, más aliento en el perseverar, más destreza en el herir, ni más maña en el derribar? La verdad sea, respondió Sancho, que yo no he leído ninguna historia jamás, porque ni sé leer ni escribir; mas lo que osaré apostar es que más atrevido amo que vuestra merced yo no le he servido en todos los días de mi vida, y quiera Dios que estos atrevimientos no se paguen donde tengo dicho. Lo que le ruego a vuestra merced es que se cure, que se le va mucha sangre de esa oreja, que aquí traigo hilas y un poco de ungüento blanco en las alforjas.
+Todo esto fuera bien escusado, respondió Don Quijote, si a mí se me acordara de hacer una redoma del bálsamo de Fierabrás, que con sólo una gota se ahorraran tiempo y medicinas. ¿Qué redoma y qué bálsamo es ese? dijo Sancho Panza. De un bálsamo, respondió Don Quijote, de quien tengo la receta en la memoria, con el cual no hay que tener temor a la muerte, ni hay que pensar morir de ferida alguna; y así, cuando yo le haga y te le dé, no tienes más que hacer sino que cuando vieres que en alguna batalla me han partido por medio del cuerpo, como muchas veces suele acontecer, bonitamente la parte del cuerpo que hubiere caído en el suelo, y con mucha sutileza, antes que la sangre se hiele, la pondrás sobre la otra mitad que quedare en la silla, advirtiendo de encajallo igualmente y al justo. Luego me darás a beber solos dos tragos del bálsamo que he dicho, y verásme quedar más sano que una manzana. Si eso hay, dijo Panza, yo renuncio desde aquí el gobierno de la prometida ínsula, y no quiero otra cosa en pago de mis muchos y buenos servicios, sino que vuestra merced me djé la receta de ese estremado licor, que para mí tengo que valdrá la onza donde quiera más de dos reales, y no he
+menester yo más para pasar esta vida honrada y descansadamente; pero es de saber ahora si tiene mucha costa el hacella. Con menos de tres reales se pueden hacer tres azumbres, respondió Don Quijote. ¡Pecador de mí! replicó Sancho. ¿Pues a qué aguarda vuestra merced a hacelle y a enseñármele? Calla, amigo, respondió Don Quijote, que mayores secretos pienso enseñarte, y mayores mercedes hacerte; y por ahora curémonos, que la oreja me duele más de lo que yo quisiera.
+Sacó Sancho de las alforjas hilas y ungüento; mas cuando Don Quijote llegó a ver rota su celada, pensó perder el juicio, y puesta la mano en la espada y alzando los ojos al cielo, dijo: yo hago juramento al criador de todas las cosas, y a los santos cuatro Evangelios, donde más largamente están escritos, de hacer la vida que hizo el grande marqués de Mantua, cuando juró de vengar la muerte de su sobrino Baldovinos, que fue de no comer pan a manteles, ni con su mujer folgar, y otras cosas, que, aunque de ellas no me acuerdo, las doy aquí por espresadas, hasta tomar entera venganza del que tal desaguisado me fizo. Oyendo esto Sancho, le dijo: advierta vuestra merced, señor Don Quijote, que si el caballero cumplió lo que se le dejó ordenado de irse a presentar ante mi señora Dulcinea del Toboso, ya habrá cumplido con lo que debía, y no merece otra pena si no comete nuevo delito. Has hablado y apuntado muy bien, repondió Don Quijote; y así anulo el juramento en lo que toca a tomar de él nueva venganza; pero hágole y confírmole de nuevo de hacer la vida que he dicho, hasta tanto que quite por fuerza otra celada tal y tan buena como esta a algún caballero; y no pienses, Sancho, que así, a humo de pajas, hago esto, que bien tengo a quien imitar en ello, que esto mismo pasó al pie de la letra sobre el yelmo del Mambrino, que tan caro le costó a Sacripante. Que dé al diablo vuestra merced tales juramentos, señor mío, replicó Sancho, que son muy en daño de la salud y muy en perjuicio de la conciencia. Si no, dígame ahora si acaso en muchos días no topamos hombre armado con celada, ¿qué hemos de hacer? ¿Hase de cumplir el juramento a despecho de tantos inconvenientes e incomodidades, como será el dormir vestido, y el no dormir en poblado, y otras mil penitencias que contenía el juramento de aquel loco viejo del marqués de Mantua, que vuestra merced quiere revalidar ahora? Mire vuestra merced bien que por todos estos caminos no andan hombres armados sino arrieros y carreteros, que no sólo no traen celadas, pero quizá no las han oído nombrar en todos los días de su vida. Engañaste en eso, dijo Don Quijote, porque no habremos estado dos horas por estas encrucijadas, cuando veamos más armados que los que vinieron sobre Albraca a la conquista de Angélica la Bella. Alto, pues; sea así, dijo Sancho y a Dios prazga que nos suceda bien, y que se llegue ya el tiempo de ganar esa ínsula, que tan cara me cuesta, y muérame yo luego. Ya te he dicho, Sancho, que no te dé eso cuidado alguno, que cuando faltare ínsula, ahí está el reino de Dinamarca, o el de Sobradisa, que te vendrán como anillo al dedo, y más que, por ser en tierra firme, te debes de alegrar. Pero dejemos esto para su tiempo, y mira si traes algo en esas alforjas que comamos, porque vamos luego en busca de algún castillo donde alojemos esta noche, y hagamos el bálsamo que te he dicho, porque yo te voto a Dios que me va doliendo mucho la oreja.
+Aquí trayo una cebolla y un poco de queso, y no sé cuántos mendrugos de pan, dijo Sancho; pero no son manjares que pertenecen a tan valiente caballero como vuestra merced. Que mal lo entiendes, respondió Don Quijote: hágote saber, Sancho, que es honra de los caballeros andantes no comer en un mes, y ya que coman, sea de aquello que hallaren más a mano: y esto se te hiciera cierto, si hubieras leído tantas historias como yo, que aunque han sido muchas, en todas ellas no he hallado hecha relación de que los caballeros andantes comiesen, si no era acaso, y en algunos suntuosos banquetes que les hacían, y los demás días se los pasaban en flores. Y aunque se deja entender que no podían pasar sin comer y sin hacer todos los otros menesteres naturales, porque en efecto eran hombres como nosotros, has de entender también que, andando lo más del tiempo de su vida por las florestas y despoblados, y sin cocinero, que su más ordinaria comida sería de viandas rústicas, tales como las que tú ahora me ofreces: así que, Sancho amigo, no te congoje lo que a mí me da gusto, ni quieras tú hacer mundo nuevo, ni
+sacar la caballería andante de sus quicios. Perdóneme vuestra merced, dijo Sancho, que como yo no sé leer ni escribir, como otra vez he dicho, no sé ni he caído en las reglas de la profesión caballeresca; y de aquí adelante yo proveeré las alforjas de todo género de fruta seca para vuestra merced, que es caballero, y para mí las proveeré, pues no lo soy, de otras cosas volátiles y de más sustancia. No digo yo, Sancho, replicó Don Quijote, que sea forzoso a los caballeros andantes no comer otra cosa que esas frutas que dices; sino que su más ordinario sustento debía ser de ellas, y de algunas yerbas que hallaban en los campos, que ellos conocían, y yo también conozco. Virtud es, respondió Sancho, conocer esas yerbas, que según yo me voy imaginando, algún día será menester usar de ese conocimiento.
+Y sacando en esto lo que dijo que traía, comieron los dos en buena paz y compañía; pero deseosos de buscar donde alojar aquella noche, acabaron con mucha brevedad su pobre y seca comida. Subieron luego a caballo, y diéronse priesa por llegar a poblado, antes que anocheciese; pero faltóles el sol y la esperanza de alcanzar lo que deseaban junto a unas chozas de unos cabreros, y así determinaron de pasar allí la noche que cuanto fue de pesadumbre para Sancho no llegar a poblado, fue de contento para su amo dormirla al cielo descubierto, por parecerle que cada vez que esto le sucedía era hacer un acto posesivo que facilitaba la prueba de su caballería.
+Capítulo 11: De lo que sucedió a Don Quijote con unos cabreros
+Fue recogido de los cabreros con buen ánimo, y habiendo Sancho lo mejor que pudo acomodado a Rocinante y a su jumento, se fue tras el olor que despedían de sí ciertos tasajos de cabra que hirviendo al fuego en un caldero estaban; y aunque él quisiera en aquel mismo punto ver si estaban en sazón de trasladarlos del caldero al estómago, lo dejó de hacer porque los cabreros los quitaron del fuego, y tendiendo por el suelo unas pieles de ovejas, aderezaron con mucha priesa su rústica mesa, y convidaron a los dos, con muestras de muy buena voluntad, con lo que tenían. Sentáronse a la redonda de las pieles seis de ellos, que eran los que en la majada había, habiendo primero con groseras ceremonias rogado a Don Quijote que se sentase sobre un dornajo que vuelto al revés le pusieron. Sentóse Don Quijote, y quedábase Sancho en pie para servirle la copa, que era hecha de cuerno. Viéndole en pie su amo, le dijo: porque veas, Sancho, el bien que en sí encierra la andante caballería, y cuán a pique están los que en cualquiera ministerio de ella se ejercitan, de venir brevemente a ser honrados y estimados del mundo, quiero que aquí a mi lado, y en compañía de esta buena gente, te sientes, y que seas una misma cosa conmigo que soy tu amo y natural señor, que comas en mi plato y bebas por donde yo bebiere; porque de la caballería andante se puede decir lo mismo que del amor que se dice, que todas las cosas iguala. ¡Gran merced! dijo Sancho; pero sé decir a vuestra merced, que como yo tuviese bien de comer, tan bien y mejor me lo comería en pie y a mis solas, como sentado a par de un emperador. Y aún si va a decir verdad, mucho mejor me sabe lo que como en mi rincón sin melindres sin respetos, aunque sea pan y cebolla, que los gallipavos de otras mesas, donde me sea forzoso mascar despacio, beber poco, limpiarme a menudo, no estornudar ni toser si me viene gana, ni hacer otras cosas que la soledad y la libertad traen consigo. Así que, señor mío, estas honras que vuestra merced quiere darme, por ser ministro y adherente de la caballería andante, como lo soy siendo escudero de vuestra merced, conviértalas en otras cosas que me sean de más cómodo y provecho; que estas, aunque las doy por bien recibidas, las renuncio para desde aquí al fin del mundo. Con todo eso, te has de sentar, porque a quien se humilla Dios le ensalza. Y asiéndole por el brazo, le forzó a que junto a él se sentase. No entendían los cabreros aquella jerigonza de escuderos y de caballeros andantes, y no hacían otra cosa que comer y callar y mirar a sus huéspedes, que con mucho donaire y gana embaulaban tasajo como puño. Acabado el servicio de carne, tendieron sobre las zaleas gran cantidad de bellotas avellanadas, y juntamente pusieron un medio queso, más duro que si fuera hecho de argamasa. No estaba en esto ocioso el cuerno, porque andaba a la redonda tan a menudo, ya lleno, ya vacío, como arcaduz de noria, que con facilidad vació un zaque de dos que estaban de manifiesto. Después que Don Quijote hubo bien satisfecho su estómago, tomó un puño de bellotas en la mano, y mirándolas atentamente, soltó la voz a semejantes razones:
+¡Dichosa edad y siglos dichosos aquellos a quien los antiguos pusieron nombre de dorados, y no porque en ellos el oro, que en esta nuestra edad de hierro tanto se estima, se alcanzase en aquella venturosa sin fatiga alguna, sino porque entonces los que en ella vivían ignoraban etas dos palabras de tuyo y mío!
+Eran en aquella santa edad todas las cosas comunes; a nadie le era necesario, para alcanzar su ordinario sustento, tomar otro trabajo que alzar la mano, y alcanzarle de las robustas encinas, que liberalmente les estaban convidando con su dulce y sazonado ruto. Las claras fuentes y corrientes ríos, en magnífica abundancia, sabrosas y transparentes aguas les ofrecían. En las quiebras de las peñas y en lo hueco de los árboles formaban su república las solícitas y discretas abejas, ofreciendo a cualquiera mano sin interés alguno la fértil cosecha de su dulcísimo trabajo. Los valientes alcornoques despedían de sí, sin otro artificio que el de su cortesía, sus anchas y livianas cortezas, con que se comenzaron a cubrir las casas sobre rústicas estacas, sustentadas no más que para defensa de las inclemencias del cielo. Todo era paz entonces, todo amistad, todo concordia: aún no se había atrevido la pesada reja del corvo arado a abrir ni visitar las entrañas piadosas de
+nuestra primera madre, que ella sin ser forzada, ofrecía por todas partes de su fértil y espacioso seno lo que pudiese hartar, sustentar y deleitar a los hijos que entonces la poseían. Entonces sí que andaban las simples y hermosas zagalejas de valle en valle, y de otero en otero, en trenza y en cabello, sin más vestidos de aquellos que eran menester para cubrir honestamente lo que la honestidad quiere y ha querido siempre que se cubra; y no eran sus adornos de los que ahora se usan, a quien la púrpura de Tiro y la por tantos modos martirizada seda encarecen, sino de algunas hojas de verdes lampazos y hiedra entretejidas, con lo que quizá iban tan pomposas y compuestas, como van ahora nuestras cortesanas con las raras y peregrinas invenciones que la curiosidad ociosa les ha mostrado. Entonces se decoraban los conceptos amorosos del alma simple y sencillamente, del mismo modo y manera que ella los concebía, sin buscar artificioso rodeo de palabras para encarecerlos. No habían la fraude, el engaño ni la malicia mezcládose con la verdad y la llaneza. La justicia se estaba en sus propios términos, sin que la osasen turbar ni ofender los del favor y los del interés, que tanto ahora la menoscaban, turban y persiguen. La ley del encaje aún no se había sentado en el entendimiento del juez, porque entonces no había qué juzgar ni quién fuese juzgado. Las doncellas y la honestidad andaban, como tengo dicho, por donde quiera, solas y señoras, sin temor que la ajena desenvoltura y lascivo intento las menoscabasen, y su perdición nacía de su gusto y propia voluntad. Y ahora en estos nuestros detestables siglos no está segura ninguna, aunque la oculte y cierre otro nuevo laberinto como el de Creta; porque allí por los resquicios o por el aire, con el celo de la maldita solicitud, se les entra la amorosa pestilencia, y les hace dar con todo su recogimiento al traste. Para cuya seguridad, andando más los tiempos y creciendo más la malicia, se instituyó la orden de los caballeros andantes, para defender las doncellas, amparar las viudas y socorrer a los huérfanos y a los menesterosos. De esta orden soy yo, hermanos cabreros, aquien agradezco el agasajo y buen acogimiento que hacéis a mí y a mi escudero; que aunque por ley natural están todos los que viven obligados a favorecer a los caballeros andantes, todavía por saber que, sin saber vosotros esta obligación, me acogísteis y regalásteis, es razón que con la voluntad a mí posible os agradezca la vuestra.
+Toda esta larga arenga (que se pudiera muy bien excusar) dijo nuestro caballero, porque las bellotas que le dieron le trujeron a la memoria la edad dorada, y antojósele hacer aquel inútil razonamiento a los cabreros, que, sin respondelle palabra, embobados y suspensos le estuvieron escuchando. Sancho asimismo callaba, y comía bellotas y visitaba muy amenudo el segundo zaque, que porque se enfriase el vino lo tenían colgado de un alcornoque. Más tardó en hablar Don Quijote que en acabar la cena, al fin de la cual uno de los cabreros dijo: para que con más veras pueda vuestra merced decir, señor caballero andante, que le agasajamos con pronta y buena voluntad, queremos darle solaz y contento con hacer que cante un compañero nuestro, que no tardará mucho en estar aquí, el cual es un zagal muy entendido y muy enamorado, y que sobre todo sabe leer y escribir, y es músico de un rabel, que no hay más que desear. Apenas había el cabrero acabado de decir esto, cuando llegó a sus oídos el son del rabel y de allí a poco llegó el que le tañía, que era un mozo de hasta veintidós años, de muy buena gracia. Preguntáronle sus compañeros si había cenado, y respondiendo que sí, el que había hecho los ofrecimientos le dijo: de esa manera, Antonio, bien podrás hacernos placer de cantar un poco, porque vea este señor huésped que tenemos, que también por los montes y selvas hay quien sepa de música. Hémosle dicho tus buenas habilidades, y deseamos que las muestres y nos saques verdaderos; y así te ruego por tu vida que te sientes y cantes el romance de tus amores, que te compuso el beneficiado tu tío, que en el pueblo ha parecido muy bien. Que me place, dijo el mozo; y sin hacerse más de rogar, se sentó en el tronco de una desmochada encina, y templando su rabel, de allí a poco, con muy buena gracia, comenzó a cantar, diciendo de esta manera:
+ANTONIO
+Yo sé, Olalla, que me adoras, puesto que no me lo has dicho ni aún con los ojos siquiera, mudas lenguas de amoríos.
+Porque sé que eres sabida,
+en que me quieres me afirmo, que nunca fue desdichado amor que fue conocido.
+Bien es verdad que tal vez, Olalla, me has dado indicio que tienes de bronce el alma, y el blanco pecho de risco.
+Más allá, entre sus reproches y honestísimos desvíos
+tal vez la esperanza muestra la orilla de su vestido.
+Abalánzase al señuelo
+mi fe que nunca ha podido ni menguar por no llamado ni crecer por escogido.
+Si el amor es cortesía,
+de la que tienes colijo
+que al fin de mis esperanzas ha de ser cual imagino.
+Y si son servicios parte
+de hacer un pecho benigno, algunos de los que he hecho fortalecen mi partido.
+Porque, si has mirado en ello, más de una vez habrás visto que me he vestido en los lunes lo que me honraba el domingo.
+Como el amor y la gala andan un mismo camino, en todo tiempo a tus ojos quise mostrarme polido.
+Dejo el bailar por tu causa,
+ni las músicas te pinto,
+que has escuchado a deshoras y al canto del gallo primo.
+No cuento las alabanzas
+que de tu belleza he dicho, que, aunque verdaderas, hacen ser yo de algunas mal quisto.
+Teresa del Berrocal,
+yo alabándote, me dijo:
+Tal piensa que adora un ángel, y viene a adorar a un jimio. Merced a los mucho dijes
+y a los cabellos postizos,
+y a hipócritas hermosuras
+que engañan al amor mismo. Desmentíla, y enojóse,
+volvió por ella su primo, desafióme, y ya sabes,
+lo que yo hice y él hizo.
+No te quiero yo a montón,
+ni te pretendo y te sirvo
+por lo de barraganía,
+que más bueno es mi designio. Coyundas tiene la iglesia,
+que son lazadas de sirgo, pon tu cuello en la gamella, verás cómo pongo yo el mío.
+Donde no, desde aquí juro por el santo más bendito, de no salir destas tierras sino para capuchino.
+Con esto dio el cabrero fin a su canto, y aunque Don Quijote le rogó que algo más cantase, no lo consintió Sancho Panza, porque estaba más para dormir que para oír canciones. Y así dijo a su amo: bien puede vuestra merced acomodarse desde luego a donde ha de pasar esta noche, que el trabajo de estos buenos hombres tienen todo el día no permite que pasen las noches cantando. Ya te entiendo, Sancho, respondió Don Quijote, que bien se me trasluce que las visitas del zaque piden más recompensa de sueño que de música. A todos nos sabe bien, bendito sea Dios, respondió Sancho. No lo lo niego, replicó Don Quijote; pero acomódate tú donde quisieres, que los de mi profesión mejor parecen velando que durmiendo; pero con todo eso sería bien, Sancho, que me vuelvas a curar esta oreja, que me va doliendo más de lo que es menester. Hizo Sancho lo que se le mandaba; y viendo uno de los cabreros la herida, le dijo que no tuviese pena, que él pondría remedio con que fácilmente se sanase; y tomando algunas hojas de romero, de mucho que por allí había, las mascó y las mezcló con un poco de sal, y aplicándoselas a la oreja, se las vendó muy bien, asegurándole que no había menester otra medicina. Y así fue la verdad.
+Capítulo 12: De lo que contó un cabrero a los que estaban con Don Quijote
+Estando en esto llegó otro mozo de los que les traían de la aldea el bastimento, y dijo: ¿sabéis lo que pasa en el lugar, compañeros? ¿cómo lo podemos saber? respondió uno de ellos. Pues sabed, prosiguió el mozo, que murió esta mañana aquel famoso pastor estudiante llamado Grisóstomo, y se murmura que ha muerto de amores de aquella endiablada moza de la aldea, la hija de Guillermo el rico, aquella que se anda en hábito de pastora por esos andurriales. Por Marcela dirás, dijo uno. Por esa digo, respondió el cabrero; y es lo bueno, que mandó en su testamento que le enterrasen en el campo como si fuera moro, y que sea al pie de la peña donde está la fuente del alcornoque, porque según es fama (y él dicen que lo dijo) aquel lugar es adonde él la vio la vez primera. Y también mandó otras cosas tales, que los abades del pueblo dicen que no se han de cumplir ni es bien que se cumplan, porque parecen de gentiles. A todo lo cual responde aquel gran su amigo Ambrosio el estudiante, que también se vistió de pastor con él, que se ha de cumplir todo sin faltar nada como lo dejó mandado Grisóstomo, y sobre esto anda el pueblo alborotado, mas a lo que se dice, en fin se hará lo que Ambrosio y todos los pastores sus amigos quieren, y mañana le vienen a enterrar con gran pompa adonde tengo dicho; y tengo para mí que ha de ser cosa muy de ver, a lo menos yo no dejaré de ir a verla, si supiese no volver mañana al lugar. Todos haremos lo mismo, respondieron los cabreros, y echaremos suertes a quien ha de quedar a guardar las cabras de todos. Bien dices Pedro, dijo uno de ellos, aunque no será menester usar de esa diligencia, que yo me quedaré por todos; y no lo atribuyas a virtud y a poca curiosidad mía, sino a que no me deja andar el garrancho que el otro día me pasó este pie. Con todo esto, te lo agradecemos, respondió Pedro.
+Y Don Quijote rogó a Pedro le dijese qué muerto era aquel y qué pastora aquella. A lo cual Pedro respondió, que lo que sabía era que el muerto era un hijodalgo rico, vecino de un lugar que estaba en aquellas sierras, el cual había sido estudiante muchos años en Salamanca, al cabo de los cuales había vuelto a su lugar con opinión de muy sabio y muy leído.
+Principalmente decían que sabía la ciencia de las estrellas, y de lo que pasaban allá en el cielo el sol y la luna, porque puntualmente nos decía el cris del sol y de la luna. Eclipse se llama, amigo, que no cris, el escurecerse esos dos luminares mayores, dijo Don Quijote. Mas Pedro, no reparando en niñerías, prosiguió su cuento, diciendo: asimesmo adivinaba cuando había de ser el año abundante o estil. Estéril queréis decir, amigo, dijo Don Quijote. Estéril, o estil, respondió Pedro, todo se sale allá. Y digo que, con esto que decía, se hicieron su padre y sus amigos que le daban crédito muy ricos, porque hacían lo que él les aconsejaba, diciéndoles: sembrad este año cebada, no trigo; en este podéis sembrar garbanzos, y no cebada; el que viene será de guilla de aceite; los tres siguientes no se cogerá gota. Esa ciencia se llama Astrología, dijo Don Quijote. No sé yo cómo se llama, replicó Pedro, mas sé que todo esto sabía y aún más. Finalmente no pasaron muchos meses después que vino de Salamanca, cuando un día remaneció vestido de pastor con su cayado y pellico, habiéndose quitado los hábitos largos que como escolar traía, y juntamente se vistió con él de pastor otro su grande amigo llamado Ambrosio, que había sido su compañero en los estudios. Olvidábaseme decir cómo Grisóstomo el difunto fue grande hombre de componer coplas, tanto que él hacía los villancicos para la noche del Nacimiento del Señor, y los autos para el día de Dios, que los representaban los mozos de nuestro pueblo, y todos decían que eran por el cabo. Cuando los del lugar vieron tan de improviso vestidos de pastores a los dos escolares, quedaron admirados y no podían adivinar la causa que les había movido a hacer tan extraña mudanza. Ya en este tiempo era muerto el padre de nuestro Grisóstomo, y él quedó heredado en mucha cantidad de hacienda, ansí en muebles como en raíces, y en no pequeña cantidad de ganado mayor y menor, y en gran cantidad de dineros: de todo lo cual quedó el mozo señor desoluto; y en verdad que todo lo merecía, que era muy buen compañero y caritativo y amigo de los buenos, y tenía una cara como una bendición. Después se vino a entender que el haberse mudado de traje no había sido por otra cosa que por andarse por estos
+despoblados en pos de aquella pastora Marcela que nuestro zagal nombró denantes, de la cual se había enamorado el difunto de Grisóstomo. Y quiéroos decir ahora, porque es bien que lo sepáis, quén es esta rapaza; quizá y aun sin quizá no habréis oído semejante cosa en todos los días de vuestra vida, aunque viváis más años que sarna. Decid Sarra, replicó Don Quijote, no pudiendo sufrir el trocar de los vocablos del cabrero. Harto vive la sarna, respondió Pedro; y si es, señor, que me habéis de andar zaheriendo a cada paso los vocablos, no acabaremos en un año. Perdonad, amigo, dijo Don Quijote, que por haber tanta diferencia de sarna a Sarra os lo dije; pero vos respondísteis muy bien, porque vive más sarna que Sarra, y proseguid vuestra historia, que no os replicaré más en nada.
+Digo, pues, señor de mi alma, dijo el cabrero, que en nuestra aldea hubo un labrador aún más rico que el padre de Grisóstomo, el cual se llamaba Guillermo, y al cual dio Dios, amén de las muchas y grandes riquezas, una hija, de cuyo parto murió su madre, que fue la más honrada mujer que hubo en todos estos contornos; no parece sino que ahora la veo con aquella cara, que del un cabo tenía el sol y del otro la luna, y sobre todo hacendosa y amiga de los pobres, por lo que creo que debe de estar su ánima a la hora de hora gozando de Dios en el otro mundo. De pesar de la muerte de tan buena mujer murió su marido Guillermo, dejando a su hija Marcela muchacha y rica en poder de un tío suyo, sacerdote, y beneficiado en nuestro lugar. Creció la niña con tanta belleza, que nos hacía acordar de la de su madre, que la tuvo muy grande, y con todo esto se juzgaba que le había de pasar la de la hija; y así fue, que cuando llegó a edad de catorce a quince años, nadie la miraba que no bendecía a Dios, que tan hermosa la había criado, y los más quedaban enamorados y perdidos por ella. Guardábala su tío con mucho recato y con mucho encerramiento, pero con todo esto, la fama de su mucha hermosura se extendió de manera, que así por ella, como por sus muchas riquezas, no solamente de los de nuestro pueblo, sino de los de muchas leguas a la redonda, y de los mejores de ellos, era rogado, solicitado e importunado su tío se la diese por mujer. Mas él, que a las derechas es buen cristiano, aunque quisiera casarla luego, así como la vía de edad, no quiso hacerlo sin su consentimiento, sin tener ojo a la ganancia y granjería que le ofrecía el tener la hacienda de la moza, dilatando su casamiento. Y a fe que se dijo esto en más de un corrillo en el pueblo en alabanza del buen sacerdote. Que quiero que sepa, señor andante, que en estos lugares cortos de todo se trata y de todo se murmura; y tened para vos, como yo tengo para mí, que debe de ser demasiadamente bueno el clérigo que obliga a sus feligreses a que digan bien dél, especialmente en las aldeas.
+Así es la verdad, dijo Don Quijote, y proseguid adelante, que el cuento es muy bueno, y vos, buen Pedro, le contáis con mucha gracia.
+La del Señor no me falte, que es la que hace al caso. Y en lo demás, sabréis que aunque el tío proponía a la sobrina, y le decía las calidades de cada uno, en particular de los muchos que por mujer la pedían, rogándole que se casase y escogiese a su gusto, jamás ella respondió otra cosa sino que por entonces no quería casarse, y que por ser tan muchacha no se sentía hábil para poder llevar la carga del matrimonio. Con estas que daba al parecer justas excusas, dejaba el tío de importunarla, y esperaba que entrase algo más en edad y ella supiese escoger compañía a su gusto. Porque decía él, y decía muy bien, que no habían de dar los padres a sus hijos estado contra su voluntad. Pero hételo aquí, cuando no me cato, que remanece un día la melindrosa Marcela hecha pastora; y sin ser parte su tío ni todos los del pueblo que se lo desaconsejaban, dio en irse al campo con las demás zagalas del lugar, y dio en guardar su mesmo ganado. Y así como ella salió en público, y su hermosura se vio al descubierto, no os sabré buenamente decir cuántos ricos mancebos, hidalgos y labradores han tomado el traje de Grisóstomo, y la andan requebrando por estos campos. Uno de los cuales, como ya está dicho, fue nuestro difunto, del cual decían que la dejaba de querer y la adoraba. Y no se piense que porque Marcela se puso en aquella libertad y vida tan suelta, y de tan poco o de ningún recogimiento, que por eso ha dado indicio, ni por semejas, que venga en menoscabo de su honestidad y recato; antes es tanta y tal la vigilancia
+con que mira por su honra, que de cuantos la sirven y solicitan ninguno se ha alabado, ni con verdad se podrá alabar, que le haya dado alguna pequeña esperanza de alcanzar su deseo. Que puesto que no huye ni es esquiva de la compañía y conversación de los pastores, y los trata cortés y amigablemente, en llegando a descubrirle su intención cualquiera dellos, aunque sea tan justa y santa como la del matrimonio, los arroja de sí como con un trabuco. Y con esta manera de condición hace más daño en esta tierra que por si ella entrara la pestilencia, porque su afabilidad y hermosura atraen los corazones de los que la tratan a servirla y a amarla; pero su desdén y desengaño los conduce a términos de desesperarse, y así no saben qué decirle sino llamarla a voces cruel y desagradecida, con otros títulos a este semejantes, que bien la calidad de su condición manifiestan; y si aquí estuviéredes, señores, algún día, veríades resonar estas sierras y estos valles con los lamentos de los desengañados que la siguen. No está muy lejos de aquí un sitio donde hay casi dos docenas de altas hayas, y no hay ninguna que en su lisa corteza no tenga grabado y escrito el nombre de Marcela, y encima de alguna una corona grabada en el mesmo árbol, como si más claramente dijera su amante que Marcela la lleva y la merece de toda la hermosura humana. Aquí suspira un pastor, allí se queja otro, acullá se oyen amorosas canciones, acá desesperadas endechas. Cual hay que pasa todas las horas de la noche sentado al pie de alguna encina o peñasco, y allí, sin plegar los llorosos ojos, embebecido y trasportado en sus pensamientos, le halla el sol a la mañana; y cual hay que sin dar vado ni tregua a sus suspiros, en mitad del ardor de la más enfadosa siesta del verano tendido sobre la ardiente arena, envía sus quejas al piadoso cielo; y deste y de aquel, y de aquellos y destos, libre y desenfadadamente triunfa la hermosa Marcela. Y todos los que la conocemos estamos esperando en qué ha de parar su altivez, y quién ha de ser el dichoso que ha de venir a domeñar condición tan terrible, y gozar de hermosura tan extremada. Por ser todo lo que he contado tan averiguada verdad, me doy a entender que también lo es la que nuestro zagal dijo que se decía de la causa de la muerte de Grisóstomo. Y así os aconsejo, señor, que no dejéis de hallaros mañana a su entierro, que será muy de ver, porque Grisóstomo tiene muchos amigos, y no está deste lugar a aquel donde manda enterrarse media legua.
+En cuidado me lo tengo, dijo Don Quijote, y agradézcoos el gusto que me habéis dado con la narración de tan sabroso cuento. ¡Oh! replicó el cabero. Aun no sé yo la mitad de los casos sucedidos a los amantes de Marcela; mas podría ser que mañana topásemos en el camino algún pastor que nos lo dijese; y por ahora bien será que os vais a dormir debajo de techado, porque el sereno os podría dañar la herida, puesto que es tal la medicina que se os ha puesto, que no hay que temer de contrario accidente.
+Sancho Panza que ya daba al diablo el tanto hablar del cabrero, solicitó por su parte que su amo se entrase a dormir en la choza de Pedro. Hízolo así y todo lo más de la noche se la pasó en memorias de su señora Dulcinea, a imitación de los amantes de Marcela. Sancho Panza se acomodó entre Rocinante y su jumento, y durmió, no como enamorado desfavorecido, sino como hombre molido a coces.
+Capítulo 13: Donde se da fin al cuento de la pastora Marcela, con otros sucesos
+Mas apenas comenzó a descubrirse el día por los balcones del Oriente, cuando los cinco de los seis cabreros se levantaron y fueron a despertar a Don Quijote, y a decille si estaba todavía con propósito de ir a ver el famoso entierro de Grisóstomo, y que ellos le harían compañía. Don Quijote, que otra cosa no deseaba, se levantó y mandó a Sancho que ensillase y enalbardase al momento, lo cual él hizo con mucha diligencia, y con la misma se pusieron luego todos en camino. Y no hubieron andado un cuarto de legua, cuando al cruzar de una senda vieron venir hacia ellos hasta seis pastores vestidos con pellicos negros, y coronadas las cabezas con guirnaldas de ciprés y de amarga adelfa. Traía cada uno un grueso bastón de acebo en la mano; venían con ellos asimismo dos gentiles hombres de a caballo tan bien aderezados de camino, con otros tres mozos de a pie que los acompañaban.
+En llegándose a juntar se saludaron cortésmente, y preguntándose los unos a los otros dónde iban, supieron que todos se encaminaban al lugar del entierro, y así comenzaron a caminar todos juntos. Uno de los de a caballo, hablando con su compañero le dijo: - Paréceme, señor Vivaldo, que habemos de dar por bien empleada la tardanza que hiciéremos en ver este famoso entierro que no podrá dejar de ser famoso, según estos pastores nos han contado extrañezas, así del muerto pastor como de la pastora homicida. Así me lo parece a mí, respondió Vivaldo, y no digo yo hacer tardanza de un día, pero de cuatro la hiciera a trueco de verle. Preguntóles Don Quijote qué era lo que habían oído de Marcela y de Grisóstomo. El caminante dijo que aquella madrugada habían encontrado con aquellos pastores, y que por haberles visto en aquel tan triste traje les habían preguntado la ocasión por que iban de aquella manera; que uno dellos se lo contó, contando las eztrañezas y hermosura de una pastora llamada Marcela, y los amores de muchos que la recuestaban, con la muerte de aquel Grisóstomo a cuyo entierro iban. Finalmente, él contó lo que Pedro a Don Quijote había contado.
+Cesó esta plática y comenzóse otra, preguntando el que se llamaba Vivaldo a Don Quijote, qué era la ocasión que le movía a andar armado de aquella manera por tierra tan pacífica. A lo cual respondió Don Quijote: - La profesión de mi ejercicio no consiente ni permite que yo ande de otra manera; el buen paso, el regalo y el reposo allá se inventaron para los blandos cortesanos; mas el trabajo, la inquietud y las armas sólo se inventaron e hicieron para aquellos que el mundo llama caballeros andantes, de los cuales yo, aunque indigno, soy el menor de todos. Apenas oyeron esto, cuando todos le tuvieron por loco, y por averiguarlo más y ver qué género de locura era el suyo, le tornó a preguntar Vivaldo qué quería decir caballeros andantes. - ¿No han vuestras mercedes leído, respondió Don Quijote, los anales e historias de Inglaterra, donde se tratan las famosas fazañas del rey Arturo, que continuamente en nuestro romance castellano llamamos el rey Artús, de quien es tradición antigua y común en todo aquel reino de la Gran Bretaña, que este rey no murió, sino que por arte de encantamiento se convirtió en cuervo, y que andando los tiempos ha de volver a reinar y a cobrar su reino y cetro; a cuya causa no se probará que desde aquel tiempo a este haya ningún inglés muerto cuervo alguno? Pues en tiempo de este buen rey fue instituida aquella famosa orden de caballería de los caballeros de la Tabla Redonda, y pasaron sin faltar un punto los amores que allí se cuentan de Don lanzarote del Lago con la reina Ginebra, siend medianera dellos y sabidora aquella tan honrada duaña Quitañona, de donde nació aquel famoso romance, y tan decantado en nuestra España de:
+Nunca fuera caballero
+de damas tan bien servido, como lo fue Lanzarote cuando de Bretaña vino;
+con aquel progreso tan dulce y tan suave de sus amorosos y fuertes fechos. Pues desde entonces, de mano en mano fue aquella orden de caballería extendiéndose y dilatándose por muchas y diversas partes del mundo; y en ella fueron famosos y conocidos por sus fechos el valiente Amadís de Gaula con todos sus hijos y nietos hasta la quinta generación, y el valeroso Felixmarte de Hircania, y el nunca como se debe alabado Tirante el Blanco, y casi que en nuestros días vimos y comunicamos y oímos al invencible y valeroso caballero don Belianís de Grecia. Esto, pues, señores, es ser caballero andante, y la que he dicho es la orden de su caballería, en la cual, como otra vez he dicho, yo, aunque pecador, he hecho profesión, y lo mismo que profesaron los caballeros referidos, profeso yo; y así me voy por estas soledades y despoblados buscando las aventuras, con ánimo deliberado de ofrecer mi brazo y mi persona a la más peligrosa que la suerte me depare, en ayuda de los flacos y menesterosos.
+Por estas razones que dijo, acabaron de enterarse los caminantes que era Don Quijote falto de juicio, y del género de locura que señoreaba, de lo cual recibieron la misma admiración que recibían todos aquellos qeu de nuevo venían en conocimiento della. Y Vivaldo, que era persona muy discreta y de alegre condición, por pasar sin pesadumbre el poco camino qeu decían que les faltaba a llegar a la sierra del entierro, quiso darle ocasión a que pasase más adelante con sus disparates. Y así le dijo: paréceme, señor caballero andante, que vuestra merced ha profesado una de las más estrechas profesiones que hay en la tierra, y tengo para mí que aún la de los frailes cartujos no es tan estrecha. Tan estrecha bien podía ser, respondió nuestro Don Quijote; pero tan necesaria en el mundo, no estoy en dos dedos de ponello en duda. Porque si va a decir verdad, no hace menos el soldado que pone en ejecución lo que su capitán le manda, que el mismo capitán que se lo ordena. Quiero decir, que los religiosos con toda paz y sosiego piden al cielo el bien de la tierra; pero los soldados y cablleros ponemos en ejecución lo que ellos piden, defendiéndola con el valor de nuestros brazos y filos de nuestras espadas; no debajo de cubierta, sino al cielo abierto, puesto por blanco de los insufribles rayos del sol en el verano, y de los erizados hielos del invierno. Así que somos ministros de Dios en la tierra, y brazos por quien se ejecuta en ello su justicia. Y como las cosas de la guerra, y las a ellas tocantes y concernientes no se pueden poner en ejecución sino sudando, afanando y trabajando excesivamente, síguese que aquellos que la profesan tienen sin duda mayor trabajo que aquellos que en sosegada paz y reposo están rogando a Dios favorezca a los que poco pueden. No quiero yo decir, ni me pasa por pensamiento, que es tan buen estado el de caballero andante como el de encerrado religioso; sólo quiero inferir, por lo que yo padezco, que sin duda es más trabajoso y aporreado, y más hambriento y sediento, miserable, roto y piojoso, porque no hay duda sino que los caballeros andantes pasados pasaron mucha mala ventura en el discurso de su vida. Y si algunos subieron a ser emperadores por el valor de su brazo, a fe que les costó buen porqué de su sangre y de su sudor; y que así a los que tal grado subieron les faltaran encantadores y sabios que los ayudaran, que ellos quedarán bien defraudados de sus deseos y bien engañados de sus esperanzas.
+De ese parecer estoy yo, replicó el caminante; pero una cosa entre otras muchas, me parece muy mal de los caballeros andantes, y es que cuando se ven en ocasión de acometer una grande y peligrosa aventura, en que se ve manifiesto peligro de perder la vida, nunca en aquel instante de acometella se acuerdan de encomendarse a Dios, como cada cristiano está obligado a hacer en peligros semejantes; antes se encomiendan a sus damas con tanta gana y devoción, como si ellas fueran su Dio: cosa que me parece que huele algo a gentilidad.
+Señor, respondió Don Quijote, eso no puede ser menos en ninguna manera, y caería en mal caso el caballero andante que otra cosa hiciese; que ya está en uso y costumbre en la caballería andantesca que el caballero andante, que al acometer algún gran fecho de armas tuvise su señora delante, vuelva a ella los ojos blanda y amorosamente, como que le pide con ellos le favorezca y ampare en el dudoso trance que acomete; y aun si nadie le oye, está obligado a decir algunas palabras
+entre dientes, en que de todo corazón se le encomiende, y desto tenemos innumerables ejemplos en las historias. Y no se ha de entender por esto que han de dejar de encomendarse a Dios, que tiempo y lugar les queda para hacello en el discurso de la obra. Con todo eso, replicó el caminante, me queda un escrúpulo, y es que muchas veces he leído que se traban palabras entre dos andantes caballeros, y de una en otra se les viene a encender la cólera, y a volver los caballos, y a tomar una buena pieza del campo, y luego sin más ni más, a todo el correr dellos se vuelven a encontrar, y en mitad de la corrida se encomiendan a sus damas; y lo que suele suceder del encuentro es que el uno cae por las ancas del caballo pasado con lalanza del contrario de parte a parte, y al otro le aviene también que a no tenerse a las crines del suyo no pudiera dejar de venir al suelo; y no sé yo cómo el muerto tuvo lugar para encomendarse a Dios en el discurso de esta tan celebrada obra; mejor fuera que las palabras que en la carrera gastó encomendándose a su dama, las gastara en lo que debía, y estaba obligado como cristiano; cuanto más que yo tengo para mí que no todos los caballeros andantes tienen damas a quien encomendarse, porque no todos son enamorados.
+Eso no puede ser, respondió Don Quijote: digo que no puede ser que haya caballero andante sin dama, porque tan propio y tan natural les es a los tales ser enamorados como al cielo tener estrellas, y a buen seguro que no se haya visto historia donde se halle caballero andante sin amores, y por el mismo caso que estuviese sin ellos, no sería tenido por legítimo caballero, sino por bastardo, y que entró en la fortaleza de la caballería dicha, no por la puerta, sino por las bardas, como salteador y ladrón. Como todo eso dijo el caminante, me parece, si mal no me acuerdo, haber leído que don Galaor, hermano del valeroso Amadís de Gaula, nunca tuvo dama señalada a quien pudiese encomendarse, y con todo esto no fue tenido en menos, y fue un muy valiente y famoso caballero. A lo cual respondió nuestro Don Quijote: Señor, una golondrina sola no hace verano; cuanto más que yo sé que de secreto estaba ese caballero muy bien enamorado; fuera de aquello de querer a todas bien, cuantas bien le parecían, era condición natural a quien no podía ir a la mano. Pero en resolución, averiguado está muy bien que él tenía una sola a quien le había hecho señora de su voluntad; a la cual se encomendabaq muy a menudo y muy secretamente, porque se preció de secreto caballero.
+Luego si es de esencia que todo caballero andante haya de ser enamorado, dijo el caminante, bien se puede creer que vuestra merced lo es, pues de la profesión, y si es que vuestra merced no se precia de ser tan secreto como Don Galaor, con las veras que puedo, le suplico, en nombre de toda esta compañía y en el mío, nos diga el nombre, patria, calidad y hermosura de su dama, que ella se tendrá por dichosa de que todo el mundo sepa que es querida y servida de un tal caballero como vuestra merced parece. Aquí dio un gran suspiro Don Quijote y dijo: yo no podré afirmar si la dulce mi enemiga gusta o no de que el mundo sepa que yo la sirvo; sólo sé decir, respondiendo a lo que con tanto comedimiento se me pide, que su nombre es Dulcinea, su patria el Toboso, un lugar de la Mancha; su calidad por lo menos ha de ser princesa, pues es reina y señora mía; su hermosura sobrehumana, pues en ella se vienen a hacer verdaderos todos los imposibles y quiméricos atributos de belleza qeu los poetas dan a sus damas; que sus cabellos son oro, su frente campos elíseos, sus cejas arcos del cielo, sus ojos soles, sus mejillas rosas, sus labios corales, perlas sus dientes, alabastro su cuello, mármol su pecho, marfil sus manos, su blacura nieve; y las partes que a la vista humana encubrió la honestidad son tales, según yo pienso y entiendo, que sola la discreta consideración puede encarecerlas y no compararlas. El linaje, prosapia y alcurnia querríamos saber, replicó Vivaldo. A lo cual respondión Don Quijote: no es de los antiguos Curcios, Gayos y Cipiones romanos, ni de los modernos Colonas y Ursinos, ni de los Moncadas y Requesens de Cataluña, ni menos de los Rebellas y Villenovas de Valencia, y Palafoxes Nuzas, Rocabertis, Corellas, Lunas, Alagones, Urreas, Foces y Gurreas de Aragón; Cerdas, Manriques, Mendozas y Guzmanes de Castilla; Alencastros, Pallas y Meneses de Portugal; pero es de los del Toboso de la Mancha, linaje, aunque moderno, tal que puede dar generoso principio a las más ilustres
+familias de los venideros siglos; y no se me replique en esto, si no fuere con las condiciones que puso Cerbino al pie del trofeo de las armas de Orlando, que decía:
+Nadie las mueva
+que estar no pueda con Roldán a prueba.
+Aunque el mío es de los Cachopines de Laredo, respondió el caminante, no le osaré yo poner con el del Toboso de la Mancha puesto que, para decir verdad, semejante apellido hasta ahora no ha llegado a mis oídos. Como ese no habrá llegado, replicó Don Quijote. Con gran atención iban escuchando todos los demás la plática de los dos, y aun hasta los mismos cabreros y pastores conocieron la demasiada falta de juicio de nuestro Don Quijote. Sancho Panza pensaba que cuanto su amo decía era verdad, sabiendo él quién era, habiéndole conocido desde su nacimiento; y en lo que dudaba algo era en creer aquello de la linda Dulcinea del Toboso, porque nunca tal nombre ni tal princesa había llegado jamás a su noticia, aunque vivía tan cerca del Toboso.
+En estas pláticas iban cuando vieron que por la quiebra que dos altas montañas hacían, bajaban hasta veinte pastores, todos con pellicos de negra lana vestidos, y coronados con guirnaldas que, a lo que después pareció, eran cual de tejo y cual de ciprés. Entre seis dellos traían unas andas, cubiertas de mucha diversidad de flores y de ramos. Lo cual, visto por uno de los cabreros, dijo: aquellos que allí vienen son los que traen el cuerpo de Grisóstomo, y el pie de aquella montaña es el lugar donde él mandó que le enterrasen. Por eso se dieron priesa a llegar, y fue a tiempo que ya los que venían habían puesto las andas en el suelo, y cuatro dellos con agudos picos, estaban cavando la sepultura a un lado de una dura peña. Recibiéronse los unos y los otros cortésmente, y luego, Don Quijote, y los que con él venían, se pusieron a mirar las andas, y en ellas vieron cubierto de flores un cuerpo muerto, y vestido como pastor, de edad al parecer de treinta años; y aunque muerto, mostraba que vivo había sido de rostro hermoso y de disposición gallarda. Alrededor dél tenía en las mismas andas algunos libros y muchos papeles abiertos y cerrados; y así los que estos miraban como los que abrían la sepultura, y todos los demás que allí había, guardaban un maravilloso silencio, hasta que uno de los que al muerto trujeron dijo a otro: mirad bien, Ambrosio, si es este el lugar que Grisóstomo dijo, ya que queréis que tan puntualmente se cumpla lo que dejó mandado en su testamento. Esto es, repondió Ambrosio, que muchas veces en él me contó mi desdichado amigo la historia de su desventura. Allí me dijo él que vio la vez primera a aquella enemiga mortal del linaje humano, y allí fue también donde la primera vez le declaró su pensamiento tan honesto como enamorado, y allí fue la última vez donde Marcela le acabó de desengañar y desdeñar; de suerte que puso fin a la tragedia de su miserable vida y aquí, en memoria de tantas desdichas, quiso él que le depositasen en las entrañas del eterno olvido. Y volviéndose a Don Quijote y a los caminantes, prosiguió diciendo: ese cuerpo, señores, que con piadosos ojos estáis mirando, fue depositario de un alma en quien el cielo puso infinita parte de sus riquezas. Ese es el cuerpo de Grisóstomo, que fue único en el ingenio, sólo en la cortesía, extremo en la gentileza, fénix en la amistad, magnífico sin tasa, grave sin presunción, alegre sin bajeza, y finalmente, primero en todo lo que es ser bueno, y sin segundo en todo lo que fue sr desdichado. Quiso bien, fue aborrecido; adoró, fue desdeñado; rogó a una fiera, importunó a un mármol, corrió tras el viento, dio voces a la soledad, sirvió a la ingratitud, de quien alcanzó por premio ser despojo de la muerte en la mitad de la carrera de su vida, a la cual dio fin una pastora, a quien él procuraba eternizar para que viviera en la memoria de las gentes, cual lo pudieran mostrar bien estos papeles que estáis mirando, si él no me hubiera mandado que los entregara al fuego en habiendo entregado su cuerpo a la tierra. De mayor rigor y crueldad usaréis vos con ellos, dijo Vivaldo, que su mismo dueño, pues no es justo ni
+acertado que se cumpla la voluntad de quien lo ordena y afuera de todo razonable discurso; y no le tuviera bueno Augusto César, si consintiera que se pusiera en ejecución lo que el divino Mantuano dejó en su testamento mandado. Así que, señor Ambrosio, ya que deis el cuerpo de vuestro amigo a la tierra, no queráis dar sus escritos al olvido; que si él ordenó como agraviado, no es bien que vos cumpláis como indiscreto, antes haced, dando la vida a estos papeles, que la tenga siempre la crueldad de Marcela, para que sirva de ejemplo en los tiempos que están por venir a los vivientes, para que se aparten y huyan de caer en semejantes despeñaderos; que ya sé yo y los que aquí venimos la historia deste vuestro enamorado y desesperado amigo, y sabemos la amistad vuestra y la ocasión de su muerte, y lo que dejó mandado al acabar de la vida: de la cual lamentable historia se puede sacar cuanta haya sido la crueldad de Marcela, el amor de Grisóstomo, la fe de la amistad vuestra, con el paradero que tienen los que a rienda suelta corren por la senda que el desvariado amor delante de los ojos les pone. Anoche supimos la muerte de Grisóstomo, y que en este lugar había de ser enterrado, y así de curiosidad y de lástima dejamos nuestro derecho viaje, y acordamos de venir a ver con los ojos lo que tanto nos había lastimado en oíllo; y en pago desta lástima y del deseo que en nosotros nació de remedialla si pudiéramos, os rogamos, oh discreto Ambrosio, a lo menos yo os lo suplico de mi parte, que dejando de abrasar estos papeles, me dejéis llevar algunos dellos. Y sin aguardar que el pastor respondiese, alargó la mano y tomó algunos de los que más cerca estaban. Viendo lo cual Ambrosio, dijo: por cortesía consentiré que os quedéis, señor, con los que ya habéis tomado; pero pensar que dejaré de quemar los que quedan es pensamiento vano. Vivaldo, que deseaba ver lo que los papeles decían, abrió luego el uno dellos, y vio que tenía por título: Canción desesperada. Oyólo Ambrosio y dijo: ese es el último papel que escribió el desdichado y porque veáis, señor, en el término que le tenían sus desventuras, leedle de modo que seáis oído, ue bien os dará lugar a ello el que se tardare en abrir la sepultura. Eso haré yo de muy buena gana, dijo Vivaldo. Y como todos los circunstantes tenían el mismo deseo, se pusieron a la redonda, y él, leyendo en voz clara, vio que así decía:
+Capítulo 14: Donde se ponen los versos desesperados del difunto pastor, con otros no esperados sucesos
+CANCION DE GRISOSTOMO
+Ya que quieres, cruel, que se publique
+de lengua en lengua, y de una en otra gente, del áspero rigor tuyo la fuerza,
+Haré que el mismo infierno comunique
+al triste pecho mío un son doliente,
+con que el uso común de mi voz tuerza.
+Y al par de mi deseo que se esfuerza a decir mi dolor y tus hazañas,
+de la espantable voz irá el acento,
+y en él mezclados por mayor tormento pedazos de las míseras entrañas.
+Escucha, pues, y presta atento oído no al concertado son, sino al ruido que de lo hondo de mi amargo pecho, llevado de un forzoso desvarío,
+por gusto mío sale y tu despecho.
+El rugir del león, del lobo fiero
+el temeroso aullido, el silbo horrendo de escamosa serpiente, el espantable
+Bbaladro de algún monstruo, el agorero graznar de la corneja, y el estruendo del viento contrastado en mar inestable:
+Del ya vencido toro el implacable bramido, y de la viuda tortolilla
+el sensible arrullar, el triste canto del enviudado buho, con el llanto de toda la infernal negra cuadrilla,
+Salgan con la doliente ánima fuera, mezclados en un son de tal manera que se confundan los sentidos todos, pues la pena cruel que en mí se halla para contarla pide nuevos modos.
+De tanta confusión, no las arenas
+del padre Tajo oirán los tristes ecos,
+ni del famoso Betis las olivas:
+que allí se esparcirán mis duras penas en altos riscos y en profundos huecos, con muerta lengua y con palabras vivas;
+O ya en oscuros valles o en esquivas playas desnudas de contrato humano,
+o adonde el sol jamás mostró su lumbre, o entre la venenosa muchedumbre,
+de fieras que alimenta el Nislo llano:
+Que puestos en los páramos desiertos los ecos roncos de mi mal inciertos suenen con tu rigor tan sin segundo, por privilegio de mis cortos hados serán llevados por el ancho mundo.
+Mata un desdén, aterrada paciencia o verdadera o falsa una sospecha; mata los celos con rigor tan fuerte;
+Desconcierta la vida larga ausencia; contra un temor de olvido no aprovecha firme esperanza de dichosa suerte.
+En todo hay cierta, inevitable muerte; mas yo, ¡milagro nunca visto! vivo celoso, ausente, desdeñado y cierto
+de las sospechas que me tienen muerto: y en el olvido en quien mi fuego avivo.
+Y entre tantos tormentos, nunca alcanza mi vista a ver en sombra a la esperanza; ni yo desesperado la procuro,
+antes por extremarme en mi querella, estar sin ella eternamente juro. ¿Puédese por ventura en un instante esperar y temer, o es bien hacello, siendo las causas del temor más ciertas? ¿Tengo, si el duro celo está delante,
+de cerrar estos ojos, si he de vello
+por mil heridas en el alma abiertas? ¿Quién no abrirá de par en par las puertas a la desconfianza, cuando mira descubierto el desdén, y las sospechas ¡Oh amarga conversión! verdades hechas, y la limpia verdad vuelta en mentira?
+¡Oh en el reino de amor fieros tiranos celos! ponedme un hierro en estas manos. Dam, desdén, una torcida soga.
+¡Mas ay de mí! que con cruel victoria vuestra memoria el sufrimiento ahoga.
+Yo muero, en fin, y porque nunca espere, buen suceso en la muerte ni en la vida, pertinaz estaré en mi fantasía:
+Diré que va acertado el que bien quiere y que es más libre el alma más rendida a la de amor antigua tiranía.
+Diré que la enemiga siempre mía, hermosa el alma como el cuerpo tiene, y que su olvido de mi culpa nace,
+y que en fe de los males que nos hace amor su imperio en justa paz mantiene.
+Y con esta opinión y un duro lazo, acelerando el miserable plazo
+a que me han conducido sus desdenes, ofreceré a los vientos cuerpo y alma sin lauro o palma de futuros bienes.
+Tú, que con tantas sinrazones muestras la razón que me fuerza a que la haga
+a la cansada vida que aborrezco;
+pues ya ves que te da notorias muestras esta del corazón profunda llaga,
+de cómo alegre a tu rigor me ofrezco;
+Si por dicha conoces que merezco que el cielo claro de tus bellos ojos en mi muerte se turbe, no lo hagas, que no quiero que en nada satisfagas al darte de mi alma los despojos.
+Antes con risa en la ocasión funesta descubre que el fin mío fue tu fiesta. Mas gran simpleza es avisarte desto, pues sé que está tu gloria conocida
+en que mi vida llegue al fin tan presto.
+Venga, es tiempo ya, del hondo abismo tántalo con su sed, Sísifo venga
+con el peso terrible de su canto.
+Ticio traiga un buitre, y asimismo con su rueda Egión no se detenga, ni las hermanas que trabajan tanto.
+Y todos juntos su mortal quebranto traslaen en mi pecho, y en voz baja
+(si y a un desesperado son debidas)
+canten obsequias tristes, doloridas,
+al cuerpo a quien se niegue aun la mortaja.
+Y el portero infernal de los tres rostros, con otras mil quimeras y mil mostruos lleven en doloroso contrapunto,
+que otra pompa mejor no me parece que la merece un amador difunto.
+Canción desesperada, no te quejes cuando mi triste compañía dejes; antes, pues, que la causa do naciste con mi desdicha aumenta su ventura, aun en la sepultura no estés triste.
+Bien les pareció a los que escuchado habían la canción de Grisóstomo, puesto, que el que la leyó dijo que no le parecía que conformaba con la relación que él había oído del recato y bondad de Marcela, porque en ella se quejaba Grisóstomo de celos, sospechas y de ausencia, todo en perjuicio del buen créditto y buena fama de Marcela, a lo cual respondió Ambrosio, como aquel que sabía bien los más
+escondidos pensamientos de su amigo; para que, señor, os satisfagáis desa duda, es bien que sepáis que cuando este desdichado escribió esta canción estaba ausente de Marcela, de quien se había ausentado por su voluntad, por ver si usaba con él la ausencia de sus ordinarios fueros; y como al enamorado ausente no hay cosa que no lo fatigue, ni temor que no le dé alcance, así le fatigaban a Grisóstomo los celos imaginados y las sospechas temidas como si fueran verdaderas; y con esto queda en su punto la verdad que la fama pregona de la bondad de Marcela; la cual fuera de ser cruel y un poco arrogante, y un mucho desdeñosa, la misma envidia ni debe ni puede ponerle falta alguna. Así es la verdad, respondió Vivaldo; y queriendo leer otro papel de loos que había reservado del fuego, lo estorbó una maravillosa visión (que tal parecía ella) que improvisamente se les ofreció a los ojos, y fue que, por cima de la peña donde se cavaba la sepultura, pareció la pastora Marcela tan hermosa, que pasaba a su fama en hermosura. Los que hasta entonces no la habían visto la miraban con admiración y silencio, y los que ya estaban acostumbrados a verla no quedaron menos suspensos que los que nunca la habían visto. Mas apenas la hubo visto Ambrosio, cuando con muestras de ánimo indignado, le dijo: ¿vienes a ver por ventura, oh fiero basilisco destas montañas, si con tu presencia vierten sangre las heridas deste miserable a quien tu crueldad quitó la vida; o vienes a ufanarte en las crueles hazañas de tu condición, o a ver desde esa altura, como otro despiadado Nero, el incendio de su abrasada Roma, o a pisar arrogante este desdichado cadáver, como la ingrata hija al de su padre Tarquino? Dinos presto a lo que vienes, o qué es aquello de que más gustas, que por saber yo que los pensamientos de Grisóstomo jamás dejaron de obedecerte en vida, haré que, aun él muerto, te obedezcan los de todos aquellos que se llamaron sus amigos.
+No vengo, oh Ambrosio, a ninguna cosa de las que has dicho, respondió Marcela, sino a volver por mí misma, y a dar a entender cuán fuera de razón van todos aquellos que de sus penas y de la muerte de Grisóstomo me culpan. Y así ruego a todos los que aquí estáis me estéis atentos, que no será menester mucho tiempo ni gastar muchas palabras para persuadir una verdad a los discretos. Hízome el cielo, según vosotros decís, hermosa, y de tal manera, que sin ser poderosos a otra cosa, a que me améis os mueve mi hermosura, y por el amor que me mostráis decís y aun queréis que esté yo obligada a amaros. Yo conozco con el natural entendimiento que Dios me ha dado, que todo lo hermoso es amable; mas no alcanzo que por razón de eser amado, esté obligado lo que es amado por hermoso a amar a quien le ama; y más que podría acontecer que el amador de lo hermoso fuese feo, y siendo lo feo digno de ser aborrecido, cae muy mal el decir quiérote por hermosa, hazme de amar aunque sea feo. Pero puesto caso que corran igualmente las hermosuras, no por eso han de correr iguales los deseos, que no todas las hermosuras enamoran, que algunas alegran la vista y no rinden la voluntad; que si todas las bellezas enamorasen y rindiesen, sería un andar las voluntades confusas y descaminadas sin saber en cuál habían de parar, porque siendo infinitos los sujetos hermosos, infinitos habían de ser los deseos; y según yo he oído decir, el verdadero amor no se divide, y ha de ser voluntario y no forzoso. Siendo esto así, como yo creo que lo es, ¿por qué queréis que rinda mi voluntad por fuerza, obligada no más de que decís que me queréis bien? Sino, decidme: si como el cielo me hizo hermosa me hiciera fea, ¿fuera justo que me quejara de vosotros porque no me amábades? Cuanto más que habéis de considerar que yo no escogí la hermosura que tengo, que tal cual es, el cielo me la dio de gracia sin yo pedirla ni escogella; y así como la víbora no merece ser culpada por la ponzoña que tiene, puesto que con ella mata, por habérsela dado naturaleza, tampoco yo merrezco ser reprendida por ser hermosa; que la hermosura en la mujer honesta es como el fuego apartado, o como la espada aguda, que ni él quema, ni ella corta a quien a ellos no se acerca. La honra y las virtudes son adornos del alma, sin las cuales el cuerpo, aunque lo sea, no debe parecer hermoso; pues si la honestidad es una de las virtudes que al cuerpo y alma más adornan y hermosean, ¿por qué la ha
+de perder la que es amada por hermosa, por corresponder a la intención de aquél que por solo su gusto con todas sus fuerzas e industrias procura que la pierda? Yo nací libre, y para poder libre escogí la soledad de los campos; los árboles destas montañas son mi compañía, las claras aguas destos arroyos mis espejos; con los árboles y con las aguas comunico mis pensamientos y hermosura. Fuego soy apartado, y espada puesta lejos. A los que he enamorado con la vista he desengañado con las palabras; y si los deseos se sustentan con esperanzas, no habiendo yo dado alguna a Grisóstomo, ni a otro alguno, el fin de ninguno dellos, bien se puede decir que no es obra mía que antes le mató su porfía que mi crueldad; y si me hace cargo que eran honestos sus pensamientos, y que por esto estaba obligada a corresponder a ellos, digo que cuando en ese mismo lugar donde ahora se cava su sepultura me descubrió la bondad de su intención, le dije yo que la mía era vivir en perpetua soledad, y de que sola la tierra gozase el fruto de mi recogimiento y los despojos de mi hermosura; y si él con todo este desengaño quiso porfiar contra la esperanza y navegar contra el viento, ¿qué mucho que se anegase en la mitad del golfo de su desatino? Si yo le entretuviera, fuera falsa; si le contentara, hiciera contra mi mejor intención y prosupuesto. Porfió desengañado, desesperó sin ser aborrecido: mirad ahora si será razón que de su pena se me dé a mí la culpa. Quéjese el engañado, desespérese aquél a quien le faltaron las prometidas esperanzas, confiese el qeu yo llamare, ufánese el qeu yo admitiere; pero no me llame cruel ni homicida aquel a quien yo no prometo, engaño, llamo, ni admito. El cielo aun hasta ahora no ha querido que yo llame por destino, y el pensar que tengo que amar por elección es excusado. Este general desengaño sirva a cada uno de los que me solicitan de su particular provecho, y entiéndase de aquí adelante, que si alguno por mí muriere, no muere de celoso ni desdichado, porque a quien a nadie quiere, a ninguno debe dar celos, que los desengaños no se han de tomar en cuenta de desdenes. El que me llama fiera y basilisco, déjeme como cosa perjudicial y mala: el que me llama ingrata, no me sirva; el que desconocida, no me conozca; quien cruel, no me siga; que esta fiera, este basilisco, esta ingrata, esta cruel y esta desconocida, ni los buscará, servirá, conocerá, ni seguirá, en ninguna manera. Que si a Grisóstomo mató su impaciencia y arrojado deseo, ¿por qué se ha de culpar mi honesto proceder y recato? Si yo conservo mi limpieza con la compañía de los árboles, ¿por qué ha de querer que la pierda, el que quiera que la tenga, con los hombres¿ Yo, como sabéis, tengo riquezas propias, y no codicio las ajenas: tengo libre condición, y no gusto de sujetarme; ni quiero ni aborrezco a nadie; no engaño a este, ni solicito a aquel, ni me burlo con uno, ni me entretengo con el otro. La conversación honesta de las zagalas destas aldeas, y el cuidado de mis cabras me entretiene; tienen mis deseos por término estas montañas, y si de aquí salen, es a contemplar la hermosura del cielo, pasos con que camina el alma, a su morada primera.
+Y en diciendo esto, sin querer oír respuesta alguna, volvió las espaldas y se entró por lo más cerrado de un monte que allí cerca estaba, dejando admirados, tanto de su discreción como de su hermosura, a todos los que allí estaban.
+Y algunos dieron muestras (de aquellos que de la poderosa flecha de los rayos de sus bellos ojos estaban heridos) de quererla seguir, sin aprovecharse del manifiesto desengaño que habían oído. Lo cual visto por Don Quijote, pareciéndole qeu allí venía bien usar de su caballería socorriendo a las doncellas menesterosas, puesta la mano en el puño de su espada, en altas e inteligibles voces, dijo: ninguna persona, de cualquier estado y condición que sea, se atreva a seguir a la hermosa Marcela, so pena de caer en la furiosa indignación mía. Ella ha mostrado con claras razones la poca o ninguna culpa que ha tenido en la muerte de Grisóstomo, y cuán ajena vive de condescender con los deseos de ninguno de sus amantes, a cuya causa es justo qeu en lugar de ser seguida y perseguida, sea honrada y estimada de todos los buenos del mundo, pues muestra que en él ella es sola la que con tan honesta intención vive. O ya que fuese por las amenazas de Don Quijote, o porque
+Ambrosio les dijo que concluyesen con lo que a su buen amigo debían, ninguno de los pastores se movió ni apartó de allí, hasta que, acabada la sepultura, y abrasados los papeles de Grisóstomo, pusieron su cuerpo en ella, no sin muchas lágrimas de los circunstantes. Cerraron la sepultura con una gruesa peña, en tanto que se acababa una losa que, según Ambrosio dijo, pensaba mandar hacer un epitafio, que había de decir de esta manera:
+Yace aquí de un amador
+el mísero cuerpo helado,
+que fue pastor de ganado, perdido por desamor.
+Murió a manos del rigor
+de una esquiva hermosa ingrata, con quien su imperio dilata
+la tiranía de amor.
+Luego esparcieron por encima de la sepultura muchas flores y ramos, y dando todos el pésame a su amigo Ambrosio se despidieron dél. Lo mismo hicieron Vivaldo y su compañero, y Don Quijote se despidió de sus huéspedes y de los caminantes, los cuales le rogaron se viniese con ellos a Sevilla, por ser lugar tan acomodado a hallar aventuras que en cada calle y tras cada esquina se ofrecen más que en otro alguno. Don Quijote les agradeció el aviso y el ánimo que mostraban de hacerle merced, y dijo que por entonces no quería ni debía ir a sevilla, hasta que hubiese despojado todas aquellas sierras de ladrones malandrines, de quien era fama que todas estaban llenas. Viendo su buena determinación, no quisieron los caminantes importunarles más, sino tornándose a despedir de nuevo, le dejaron y prosiguieron su camino, en el cual no les faltó de qué tratar, así de la historia de Marcela y Grisóstomo, como de las locuras de Don Quijote; el cual determinó de ir a buscar a la pastora Marcela, y ofrecerle todo lo que él podía en su servicio. Mas no le avino como él pensaba, según se cuenta en el discurso desta verdadera historia.
+Capítulo 15: Donde se cuenta la desgraciada aventura que se topó Don Quijote en topar con unos desalmados yangüeses
+Cuanta el sabio Cide Hamete Benengeli, que así como Don Quijote se despidió de sus huéspedes y de todos los que se hallaron al entierro del pastor Grisóstomo, él y su escudero se entraron por el mismo bosque donde vieron que se había entrado la pastora Marcela, y habiendo andado más de dos horas por él, buscándola por todas partes sin poder hallarla, vinieron a parar a un prado lleno de fresca yerba, junto del cual corría un arroyo apacible y fresco, tanto que convidó y forzó a pasar allí las horas de la siesta, que rigurosamente comenzaba ya a entrar. Apeáronse Don Quijote y Sancho, y dejando al jumento y a Rocinante a sus anchuras pacer de la mucha yerba que allí había, dieron saco a las alforjas, y sin ceremonia alguna, en buena paz y compañía, amo y mozo comieron lo que en ellas hallaron. No se había curado Sancho de echar sueltas a Rocinante, seguro de que le conocía por tan manso y tan poco rijoso que todas las yeguas de la dehesa de Córdoba no le hicieran tomar mal siniestro. Ordenó, pues, la suerte y el diablo, que no todas veces duerme, que andaban por aquel valle paciendo una manada de jacas galicianas de unos arrieros yangüeses, de los cuales es costumbre sestear con su recua en lugares y sitios de yerba y agua; y aquel donde acertó a hallarse Don Quijote era muy a propósito de los yangüeses.
+Sucedió, pues, que a Rocinante le vino en deseo de refocilarse con las señoras jacas, y saliendo, así como las olió, de su natural paso y costumbre, sin pedir licencia a su dueño, tomó un trotillo algo pacadillo, y se fue a comunicar su necesidad con ellas; mas ellas, que a lo que pareció, debían de tener más gana de pacer que de él, recibiéronle con las herraduras y con los dientes, de tal manera que a poco espacio se le rompieron las cinchas, y quedó sin silla en pelota; pero lo que él debió más de sentir fue que viendo los arrieros la fuerza que a sus yeguas se les hacía, acudieron con estacas, y tantos palos le dieron, que le derribaron mal parado en el suelo. Ya en esto Don Quijote y Sancho, que la paliza de Rocinante habían visto, llegaban hijadeando, y dijo Don Quijote a Sancho: A lo que veo, amigo Sancho, estos no son caballeros, sino gente soez y de baja ralea; dígolo, porque bien me puedes ayudar a tomar la debida venganza del agravio que delante de nuestros ojos se le ha hecho a Rocinante. ¿Qué diablos de venganza hemos de tomar, respondió Sancho, si estos son más de veinte, y nosotros no más de dos, y aun quizá no somos sino uno y medio? Yo valgo por ciento, respondió Don Quijote. Y sin hacer más discursos, echó mano a su espada y arremetió a los yangüeses, y lo mismo hizo Sancho Panza, incitado y movido del ejemplo de su amo; y a las primeras dio Don Quijote una cuchillada a uno que le abrió un sayo de cuero de que venía vestido con gran parte de la espalda. Los yangüeses que se vieron maltratar de aquellos dos hombres solos, siendo ellos tantos, acudieron a sus estacas; y cogiendo a los dos en medio, comenzaron a menudear sobre ellos con grande ahínco y vehemencia; verdad es que el segundo toque dieron con Sancho en el suelo, y lo mismo le avino a Don Quijote, sin que le valiese su destreza y buen ánimo; quiso su ventura que viniese a caer a los pies de Rocinante, que aún no se había levantado: donde se echa de ver la furia con que machacan estacas puestas en manos rústicas y enojadas.
+Viendo, pues, los yangüeses el mal recado que habían hecho, con la mayor presteza que pudieron cargaron su recua y siguieron su camino, dejando a los dos aventureros de mala traza y de peor talante. El primero que se resintió fue Sancho Panza, y hallándose junto a su señor, con voz enferma y lastimada dijo: Señor Don Quijote, ¡ah, Señor Don Quijote! ¿Qué quieres, Sancho hermano? respondió Don Quijote con el mismo tono afeminado y doliente que Sancho. Querría, si fuese posible, respondió Sancho Panza, que vuestra merced me diese dos tragos de aquella bebida del feo Blas, si es que la tiene vuestra merced ahí a mano; quizá será de provecho para los quebrantamientos de huesos, como lo es para las feridas. Pues a tenerla yo aquí, desgraciado yo, ¿qué nos faltaba? respondió Don Quijote. Mas yo te juro, Sancho Panza, a fe de caballero andante, que antes que
+pasasen dos días, si la fortuna no ordena otra cosa, la tengo de tener en mi poder, o mal me han de andar las manos. ¿Pues en cuántos le parece a vuestra merced que podremos mover los pies? replicó Sancho Panza. De mí sé decir, dijo el molido caballero Don Quijote, que no sabré poner término a esos días; mas yo no tengo la culpa de todo, que no había de poner mano a la espada contra hombres que no fuesen armados caballeros como yo; y así creo que en pena de haber pasado las leyes de la caallería ha permitido el dios de las batallas que se me diese este castigo; por lo cual, hermano Sancho, conviene que estés advertido en esto que ahora te diré, porque importa mucho a la salud de entrambos; y es que, cuando veas que semejante canalla nos hace algún agravio, no aguardes a que yo ponga mano a la espada para ellos, porque no lo haré en ninguna manera, sino pon tú mano a tu espada y castígalos muy a tu sabor, que si en su ayuda y defensa acudieren caballeros, yo te sabré defender y ofendellos con todo mi poder, que ya habrás visto por mil señales y experiencias hasta dónde se extiende el valor de este mi fuerte brazo. Tal quedó de arrogante el pobre señor con el vencimiento del valiente vizcaíno. Mas no le pareció tan bien a Sancho Panza el aviso de su amo, que dejase de responder, diciendo: Señor, yo soy hombre pacífico, manso, sosegado, y sé disimular cualquiera injuria, porque tengo mujer e hijos que sustentar y criar; así que séale a vuestra merced también de aviso, pues no puede ser mandato, que en ninguna manera pondré mano a la espada, ni contra villano, ni contra caballero, y que desde aquí para delante de Dedios perdono cuantos agravios me han hecho y han de hacer, ora me los haya hecho o haga, o haya de hacer persona alta o baja, rico o pobre, hidalgo o pechero, sin exceptuar estado ni condición alguna.
+Lo cual oído por su amo, le respondió: Quisiera tener aliento para poder hablar un poco descansado, y que el dolor que tengo en esta costilla se apacara tanto cuanto, para darte a entender, Panza, en el error en que estás. Ven acá, pecador: si el viento de la fortuna, hasta ahora tan contrario, en nuestro favor se vuelve, llenándonos las velas del deseo para que seguramente y sin contraste alguno tomemos puerto en alguna de las ínsulas que te tengo prometida, ¿qué sería de ti si, ganándola yo, te hiciese señor della? Pues lo vendrás a imposibilitar por no ser caballero, ni quererlo ser, ni tener valor ni intención de vengar tus injurias y defender tu señoría; porque has de saber que en los reinos y provincias nuevamente conquistados, nunca están tan quietos los ánimos de sus naturales, ni tan de parte del nuevo señor, que no se tenga temor de que han de hacer alguna novedad para alterar de nuevo las cosas y volver como dicen, a probar ventura; y así es menester que el nuevo posesor tenga entendimiento para saber gobernar, y valor para ofender y defenderse en cualquier acontecimiento. En este que ahora nos ha acontecido, respondió Sancho, quisiera yo tener este entendimiento y ese valor que vuestra merced dice; mas yo le juro a fe de pobre hombre, que más estoy para bizma que para pláticas. Mire vuestra merced si se puede levantar y ayudaremos a Rocinante, aunque no lo merece, porque él fue la causa principal de todo este molimiento; jamás tal creí de Rocinante, que le tenía por persona casta y tan pacífica como yo. En fin, bien dicen que es menester mucho tiempo para venir a conocer las personas, y que no hay cosa segura en esta vida. ¿Quién dijera que tras de aquellas tan grandes cuchilladas como vuestra merced dio a aquel desdichado andante, había de venir por la posta y en seguimiento suyo esta tan grande tempestad de palos que ha descargado sobre nuestras espaldas? Aun las tuyas, Sancho, replicó Don Quijote, deben de estar hechas a semejantes nublados; pero las mías, criadas entre sinabafas y holandas, claro está que sentirán más el dolor de esta desgracia; y si no fuese porque imagino, qué digo imagino; sé muy cierto que todas estas incomodidades son muy anejas al ejercicio de las armas, aquí me dejaría morir de puro enojo. A esto replicó el escudero: Señor, ya que estas desgracias son de la cosecha de la caballería, dígame vuestra merced si suceden muy a menudo, o si tienen sus tiempos limitados en que acaecen; porque me parece a mí que a dos cosechas quedaremos inútiles para la tercera, si Dios por su infinita misericordia no nos socorre. Sábete, amigo Sancho, respondió Don
+Quijote, que la vida de los caballeros andantes está sujeta a mil peligros y desventuras, y ni más ni menos está en potencia propincua de ser los caballeros andantes reyes y emperadores, como lo ha mostrado la experiencia en muchos y diversos caballeros de cuyas historias yo tengo entera noticia. Y pudiérate contar ahora, si el dolor me diera lugar, de algunos que sólo por el valor de su brazo han subido a los altos grados que he contado, y estos mismos se vieron antes y después en diversas calamidades y miserias, porque el valeroso Amadís de Gaula se vió en poder de su mortal enemigo Arcaláus el encantador, de quien se tiene por averiguado que le dio, teniéndole preso, más de doscientos azotes con las riendas de su caballo, atado a una columna de un patio; y aun hay un autor secreto y de no poco crédito que dice, que habiendo cogido al caballero del Febo con una cierta trampa que se le hundió debajo de los pies en un cierto castillo, al caer se halló en una honda sima debajo de la tierra, atado de pies y manos, y allí le echaron una destas que llaman melecinas de agua de nieve y arena, de lo que llegó muy al cabo, y si no fuera socorrido en aquella gran cuita de un sabio grande amigo suyo, lo pasara muy mal el pobre caballero...
+Capítulo 16: De lo que le sucedió al ingenioso hidalgo en la venta que él imaginaba ser castillo.
+El ventero que vió a Don Quijote atravesado en el asno, preguntó a Sancho qué mal traía. Sancho le respondió que no era nada, sino que había dado una caída de una peña abajo, y que tenía algo brumadas las costillas. Tenía el ventero por mujer a una, no de la condición que suelen tener las de semejante trato, porque naturalmente era caritativa y se dolía de las calamidades de sus prójimos, y así acudió luego a curar a Don Quijote, e hizo que una hija suya doncella, muchacha y de muy buen parecer, la ayudase a curar a su huésped. Servía a la venta asimismo una moza asturiana, ancha de cara, llana de cogote, de nariz roma, del un ojo tuerta, y del otro no muy sana: verdad es que la gallardía del cuerpo suplía las demás faltas; no tenía siete palmos de los pies a la cabeza, y las espaldas, que algún tanto le cargaban, la hacían mirar al suelo más de lo que ella quisiera. Esta gentil moza, pues, ayudó a la doncella, y las dos hicieron una muy mala cama a Don Quijote en un caramanchón, que otros tiempos daba manifiestos indicios que había servido de pajar muchos años, en el cual también alojaba un arriero que tenía su cama hecha un poco más allá de la de nuestro Don Quijote, y aunque era de las enjalmas y mantas de sus machos, hacía mucha ventaja a la de Don Quijote, que sólo contenía cuatro mal lisas tablas sobre dos no muy iguales bancos, y un colchón que en lo sutil parecía colcha, lleno de bodoques, que a no mostrar que eran de lana por algunas roturas, al tiento en la dureza semejaban de guijarro, y dos sábanas hechas de cuero de adarga, y una frazada cuyos hilos, si se quisieran contar, no se perdiera uno solo en la cuenta. En esta maldita cama se acostó Don Quijote; luego la ventera y su hija le emplastaron de arriba a abajo, alumbrándoles Maritornes, que así se llamaba la asturiana, y como al bizmalle viese la ventera tan acardenalado a partes a Don Quijote, dijo que aquellos más parecían golpes que caída.
+No fueron golpes, dijo Sancho, sino que la peña tenía muchos picos y tropezones, y que que cada uno había hecho su cardenal. Y también le dijo: Haga vuestra merced, señora, de manera que queden algunas estopas, que no faltará quien las haya menester, que también me duelen a mí un poco los lomos. ¿De esa manera, respondió la ventera, también debísteis vos de caer? No caí, dijo Sancho Panza, sino que de el sobresalto que tomé de ver caer a mi amo, de tal manera me duele a mí el cuerpo, que me parece que me han dado mil palos. Bien podría ser eso, dijo la doncella, que a mí me ha acontecido muchas veces soñar que caía de una torre abajo y que nunca acababa de llegar al suelo y cuando despertaba del sueño hallarme tan molida y quebrantada como si verdaderamente hubiera caído. Ahí está el toque, señora, respondió Sancho Panza, que yo sin soñar nada, sino estando más despierto que ahora estoy, me hallo con pocos menos cardenales que mi señor Don Quijote.
+¿Cómo se llama este caballero? preguntó la asturiana Maritornes. Don Quijote de la Mancha, respondió Sancho Panza, y es caballero aventurero y de los mejores y más fuertes que de luengos tiempos acá se han visto en el mundo. ¿Qué es caballero aventurero? replicó la moza. ¿Tan nueva sois en el mundo que no lo sabeis vos? respondió Sancho Panza: Pues sabed, hermana mía, que caballero aventurero es una cosa que en dos palabras se ve apaleado y emperador; hoy está la más desdichada criatura del mundo y la más menesterosa, y mañana tendrá dos o tres coronas de reinos que dar a su escudero. Pues ¿cómo vos, siendo de este tan buen señor, dijo la ventera, no tenéis a lo que parece siquiera algun condado? Aún es temprano, respondió Sancho, porque no ha sino un mes que andamos buscando las aventuras, y hasta ahora no hemos topado con ninguna que lo sea, y tal vez hay que se busca una cosa y se halla otra; verdad es que si mi señor Don Quijote sana de esta herida o caída, y yo quedo contrecho della, no trocaría mis esperanzas con el mejor título de España.
+Todas estas pláticas estaba escuchando muy atento Don Quijote, y sentándose en el lecho como pudo, tomando de la mano a la ventera, le dijo: Creedme, fermosa señora, que os podeis llamar venturosa por haber alojado en este vuestro castillo a mi persona, que es tal, que si no la alabo es por lo que suele decirse, que la alabanza propia envilece, pero mi escudero os dirá quien soy; sólo os digo que tendré eternamente escrito en mi memoria el servicio que me habedes fecho para agradecéroslo mientras la vida me durase; y pluguiera a los altos cielos que el amor no me tuviera tan rendido y tan sujeto a sus leyes, y los ojos de aquella hermosa ingrata que digo entre mis dientes, que los de esta fermosa doncella fueran señores de mi libertad.
+Confusas estaban la ventera y su hija, y la buena de Maritornes, oyendo las razones del andante caballero, que así las entendían como si hablara en griego; aunque bien alcanzaron que todas se encaminaban a ofrecimientos y requiebros: y como no usadas a semejante lenguaje, mirábanle y admirábanse, y parecíales otro hombre de los que se usaban; y agradeciéndoles con venteriles razones sus ofrecimientos, le dejaron, y la asturiana Maritornes curó a Sancho, que no menos lo había menester que su amo. Había el arriero concertado con ella que aquella noche se refocilarían juntos, y ella le había dado su palabra de que en estando sosegados los huéspedes, y durmiendo sus amos, le iría a buscar y satisfacerle el gusto en cuanto le mandase. Y cuéntase de esta buena moza, que jamás dió semejantes palabras que no las cumpliese, aunque las diese en un monte y sin testigo alguno, porque presumía muy de hidalga, y no tenía por afrenta estar en aquel ejercicio de servir en la venta; porque decía ella que desgracias y malos sucesos la habían traído a aquel estado. El duro, estrecho, apocado y fementido lecho de Don Quijote estaba primero en mitad de aquel estrellado establo; y luego junto a él hizo el suyo Sancho, que sólo contenía una estera de enea y una manta, que antes mostraba ser de angeo tundido que de lana; sucedía a estos dos lechos el del arriero, fabricado, como se ha dicho de las enjalmas y de todo el adorno de los dos mejores mulos que traía, aunque eran doce, lucios, muy gordos y famosos, porque era uno de los ricos arrieros de Arévalo, según lo dice el autor de esta historia, que de este arriero hace particular mención, porque le conocía muy bien, y aún quieren decir que era algo pariente suyo.
+Fuera de que Cide Hamete Benengeli fue historiador muy curioso y puntual en todas cosas, y échase bien de ver, pues las que quedan referidas con ser tan mínimas y tan raras, no las quiso pasar en silencio, de donde podrán tomar ejemplo los historiadores graves que nos cuentan las acciones tan corta y sucintamente, que apenas nos llegan a los labios, dejándose en el tintero, ya por descuído, por malicia o ignorancia, lo más sustancial de la obra. Bien haya mil veces el autor de "Tablante", de "Ricamonte", y aquel del otro libro donde se cuentan los hechos del "Conde Tomillas", ¡y con qué puntualidad lo describen todo! Digo, pues, que después de haber visitado el arriero a su recua y dádole el segundo pienso, se tendió en sus enjalmas y se dió a esperar a su puntualísima Maritornes. Ya estaba Sancho bizmado y acostado, y aunque procuraba dormir no lo consentía el dolor de sus costillas; y Don Quijote con el dolor de las suyas tenía los ojos abiertos como liebre.
+Toda la venta estaba en silencio, y en toda ella no había otra luz que la daba una lámpara, que colgada en medio del portal ardía. Esta maravillosa quietud, y los pensamientos que siempre nuestro caballero traía de los sucesos que a cada paso se cuentan en los libros, autores de su desgracia, le trujo a la imaginación una de las extrañas locuras que buenamente imaginarse pueden; y fue que el se imaginó haber llegado a un famoso castillo (que, como se ha dicho, castillos eran a su parecer todas las ventas donde alojaba), y que la hija del ventero lo era del señor del castillo, la cual, vencida de su gentileza, se había enamorado de él y prometido que aquella noche a furto de sus padres vendría a yacer con él una buena pieza; y
+teniendo toda esta quimera, que él se había fabricado, por firme y valedera, se comenzó a acuitar y a pensar en el peligroso trance en que su honestidad se había de ver, y propuso en su corazón de no cometer alevosía a su señora Dulcinea del Toboso, aunque la misma reina Ginebra con su dama Quintañona se le pusiesen delante.
+Pensando, pues, en estos disparates, se llegó el tiempo y la hora (que para él fue menguada) de la venida de la asturiana, la cual, en camisa y descalza, cogidos los cabellos en una albanega de fustan, con tácitos y atentados pasos, entró en el aposento donde los tres alojaban en busca del arriero; pero apenas llegó a la puerta cuando Don Quijote la sintió, y sentándose en la cama a pesar de sus bizmas, y con dolor de sus costillas, tendió los brazos para recibir a su fermosa doncella la asturiana, que toda recogida y callando iba con las manos adelante buscando a su querido. Topó con los brazos de Don Quijote, el cual la asió fuertemente de una muñeca, y tirándola hacia sí, sin que ella osase hablar palabra, la hizo sentar sobre la cama, tentóle la camisa y ella era de arpillera, a él le pareció ser de finísimo y delgado cendal. Traía en las muñecas unas cuentas de vidrio; pero a él le dieron vislumbres de preciosas piedras orientales; los cabellos que en alguna manera tiraban a crines, él los marcó por hebras de lucidísimo oro de Arabia, cuyo resplandor al del mismo sol oscurecía; y el aliento que, sin duda alguna olía a ensalada fiambre y trasnochada, a él pareció que arrojaba de su boca un olor suave y aromático; y finalmente, él la pintó en su imaginación de la misma traza y modo que lo había leído en sus libros de la otra princesa que vino a ver al mal ferido caballero vencido de sus amores, con todos los adornos que aquí van puestos; y era tanta la ceguedad del pobre hidalgo, que el tacto, ni el aliento, ni otras cosas que traía en sí la buena doncella, no le desengañaban, las cuales pudieran hacer vomitar a otro que no fuera arriero; antes le parecía que tenía en sus brazos a la diosa de la hermosura; y teniéndola bien asida, con voz amorosa y baja le comenzó a decir: Quisiera hallarme en términos, fermosa y alta señora, de poder pagar tamaña merced como la que con la vista de vuestra gran fermosura me habedes fecho; pero ha querido la fortuna, que no se cansa de perseguir a los buenos, ponerme en este lecho, donde yago tan molido y quebrantado, que aunque de mi voluntad quisiera satisfacer a la vuestra, fuera imposible; y más que se añade a esta imposibilidad otra mayor, que es la prometida fe que tengo dada a la sin par Dulcinea del Toboso, única señora de mis más escondidos pensamientos; que si ésto no hubiera de por medio, no fuera yo tan sándio caballero que dejara pasar en blanco la venturosa ocasión en que vuestra gran bondad me ha puesto.
+Maritornes estaba congojadísima y trasudando de verse tan asida de Don Quijote, y sin entender, ni estar atenta a las razones que le decía, procuraba sin hablar palabra desasirse. El bueno del arriero, a quien tenían despiertos sus malos deseos, desde el punto que entró su coima por la puerta, la sintió, estuvo atentamente escuchando todo lo que Don Quijote decía, y celoso de que la asturiana le hubiese faltado a la palabra por otro, se fué llegando más al lecho de Don Quijote, y estúvose quedo hasta ver en que paraban aquellas razones que él no podía entender; pero como vió que la moza forcejeaba por desasirse, y Don Quijote trabajaba por tenerla, pareciéndole mal la burla, enarboló el brazo en alto, y descargó tan terrible puñada sobre las estrechas quijadas del enamorado caballero, que le bañó toda la boca en sangre, y no contento con esto se le subió encima de las costillas, y con los piés más que de trote se las paseó todas de cabo a cabo. El lecho, que era un poco endeble y de no firmes fundamentos, no pudiendo sufrir la añadidura del arriero, dió consigo en el suelo, a cuyo gran ruido despertó el ventero, y luego imaginó que debían de ser pendencias de Maritornes, porque habiéndola llamado a voces no respondía. Con esta sospecha se levantó, y encendiendo un candil, se fué hacia donde había sentido la pelea. La moza, viendo que su amo venía, y que era de condición terrible, toda medrosica y alborotada se acogió a la cama de Sancho Panza, que aún dormía, y allí se acurrucó y se hizo un
+ovillo. El ventero entró diciendo: ¿Adónde estas puta? A buen seguro que son tus cosas éstas. En esto despertó Sancho, y sintiéndo aquel bulto casi encima de sí, pensó que tenía la pesadilla, y comenzó a dar puñadas a una y otra parte, y entre otras alcanzó con no sé cuántas a Maritornes, la cual, sentida del dolor, echando a rodar la honestidad, dio el retorno a Sancho con tantas, que a su despecho le quitó el sueño; el cual, viéndose tratar de aquella manera y sin saber de quién, alzándose como pudo, se abrazó con Maritornes, y comenzaron entre los dos la más reñida y graciosa escaramuza del mundo.
+Viendo, pues, el arriero a la lumbre del candil del ventero cual andaba su dama, dejando a Don Quijote, acudió a dalle el socorro necesario. Lo mismo hizo el ventero; pero con intención diferente, porque fue a castigar a la moza, creyendo sin duda que ella sola era la ocasión de toda aquella armonía. Y así como suele decirse, el gato al rato, el rato a la cuerda, la cuerda al palo, daba el arriero a Sancho, Sancho a la moza, la moza a él, el ventero a la moza y todos menudeaban con tanta priesa, que no daban punto de reposo; y fue lo bueno que al ventero se le apagó el candil, y como quedaron a oscuras, dábanse tan sin compasión todos a bulto, que a do quiera que ponían la mano no dejaban cosa sana.
+Alojaba acaso aquella noche en la venta un cuadrillero de los que llaman de la Santa Hermandad vieja de Toledo, el cual, oyendo asimismo el extraño estruendo de la pelea, asió de su media vara y de la caja de lata de sus títulos, y entró a oscuras en el aposento diciendo: Téngase a la justicia, téngase a la Santa Hermandad. Y el primero con quién topó fué con el apuñeado de Don Quijote, que estaba en su derribado lecho, tendido boca arriba, sin sentido alguno; y echándole, a tiento, mano a las barbas, no cesaba de decir: Favor a la justicia... Pero viendo que el que tenía asido no se bullía ni se meneaba, se dió a entender que estaba muerto, y que los que allí dentro estaban eran sus matadores, y con esta sospecha reforzó la voz, diciendo: Ciérrese la puerta de la venta, miren que no se vaya nadie, que han muerto aquí a un hombre.
+Esta voz sobresaltó a todos, y cada cual dejó la pendencia en el grado que le tomó la voz. Retiróse el ventero a su aposento, el arriero a sus enjalmas, la moza a su rancho; sólo los desventurados Don Quijote y Sancho no se pudieron mover de donde estaban. Soltó en esto el cuadrillero la barba de Don Quijote, y salió a buscar luz para buscar y prender los delincuentes; mas no la halló, porque el ventero de industria había muerto la lámpara cuando se retiró a su estancia, y fuele preciso acudir a la chimenea, donde con mucho trabajo y tiempo encendió el cuadrillero otro candil.
+Capítulo 17: Donde se prosiguen los innumerables trabajos que el bravo Don Quijote y su buen escudero Sancho Panza pasaron en la venta, que por su mal pensó que era castillo
+Había ya vuelto en este tiempo de su parasismo Don Quijote, y con el mismo tono de voz que el día antes había llamado a su escudero cuando estaba tendido en el val de las estacas, le comenzó a llamar diciendo: ¿Sancho amigo, duermes? ¿Duermes, amigo Sancho? Qué tengo de dormir, pesia a mí, respondió Sancho lleno de pesadumbre y de despecho, que no parece sino que todos los diablos han andado conmigo esta noche. Puédeslo creer así sin duda, respondió Don Quijote, porque o yo sé poco, o este castillo es encantado, porque has de saber... mas esto que ahora quiero decirte, hasme de jurar que lo tendras secreto hasta después de mi muerte. Sí juro, respondió Sancho.
+Dígolo, respondió Don Quijote, porque soy enemigo de que se quite la honra a nadie. Digo que sí juro, tornó a decir Sancho, que lo callaré hasta después de los días de vuestra merced, y plega a Dios que lo pueda descubrir mañana. ¿Tan malas obras te hago, Sancho, respondió Don Quijote, que me querrías ver muerto con tanta brevedad? No es por eso, respondió Sancho, sino que soy enemigo de guardar mucho las cosas, y no querría que se me pudriesen de guardadas. Sea por lo que fuere, dijo Don Quijote, que más fío de tu amor y de tu cortesía; y así has de saber que esta noche me ha sucedido una de las más extrañas aventuras que yo sabré encarecer, y por contártela en breve, sabrás que poco ha que a mí vino la hija del señor de este castillo, que es la más apuesta y fermosa doncella que en gran parte de la tierra se puede hallar. ¡Qué te podría decir del adorno de su persona! ¡Qué de su gallardo entendimiento! ¡Qué de otras cosas ocultas, que por guardar la fe que debo a mi señora Dulcinea del Toboso, dejaré pasar intactas y en silencio! Sólo te quiero decir, que envidioso el cielo de tanto bien como la ventura me había puesto en las manos, o quizá (y esto es lo más cierto) que, como tengo dicho, es encantado este castillo, al tiempo que yo estaba con ella en dulcísimos y amorososímos coloquios, sin que yo la viese, ni supiese por dónde venía, vino una mano pegada a algún brazo de algún descomunal gigante, y asentándome una puñada en las quijadas, tal que las tengo todas bañadas en sangre, y después me molió de tal suerte, que estoy peor que ayer cuando los arrieros por demasías de Rocinante nos hicieron el agravio que sabes; por donde conjeturo: que el tesoro de la fermosura de esta doncella le debe de guardar algún encantado moro, y no debe de ser para mí.
+Ni para mí tampoco, respondió Sancho, porque más de cuatrocientos moros me han aporreado de manera que el molimiento de las estacas fue tortas y pan pintado; pero dígame, señor, ¿cómo llama a esta buena y rara aventura, habiendo quedado de ella cual quedamos? Aún vuestra merced menos mal, pues tuvo en sus manos aquella incomparable fermosura que ha dicho; pero yo ¿qué tuve sino los mayores porrazos que pienso recibir en toda mi vida? Desdichado de mí y de la madre que me parió, que no soy caballero andante ni lo pienso ser jamás, y de todas las malandanzas me cabe la mayor parte. ¿Luego también estás tú aporreado? respondió Don Quijote. ¿No le he dicho que sí, pese a mi linaje? dijo Sancho. No tengas penas, amigo, dijo Don Quijote, que yo haré ahora el bálsamo precioso, con que sanaremos en un abrir y cerrar de ojos.
+Acabó en esto de encender el candil el cuadrillero, y entró a ver el que pensaba que era muerto, y así como le vió entrar Sancho, viéndole venir en camisa y con su paño a la cabeza y candil en la mano y con una muy mala cara, preguntó a su amo: Señor, ¿si será este a dicha el moro encantado que nos vuelve a castigar si se dejó algo en el tintero? No puede ser el moro, respondió Don Quijote, porque los
+encantados no se dejan ver de nadie. Si no se dejan ver, déjanse sentir, dijo Sancho; si no díganlo mis espaldas. También lo podrían decir las mías, respondió Don Quijote; pero no es bastante indicio eso para creer que éste que se ve sea el encantado moro.
+Llegó el cuadrillero, y como los halló hablando en tan sosegada conversación quedó suspenso. Bien es verdad que Don Quijote se estaba boca arriba sin poderse menear de puro molido y emplastado. Llegóse a él el cuadrillero y díjole: Pues ¿cómo va buen hombre? Hablara yo más bien criado, respondió Don Quijote, si fuera que vos; ¿úsase en esta tierra hablar desa suerte a los caballeros andantes, majadero?
+El cuadrillero que se vio tratar tan mal de un hombre de tan mal parecer, no lo pudo sufrir, y alzando el candil con todo su aceite dió a Don Quijote con él en la cabeza, de suerte que le dejó muy bien descalabrado; y como todo quedó a oscuras, salióse luego, y Sancho Panza dijo: Sin duda, señor, que este es el moro encantado, y debe de guardar el tesoro para otros, y para nosotros sólo guarda las puñadas y los candilazos. Así es, respondió Don Quijote, y no hay que hacer caso destas cosas de encantamientos, ni para qué tomar cólera ni enojo con ellas, que como son invisibles y fantásticas, no hallaremos de quién vengarnos, aunque más lo procuremos.Levántate, Sancho, si puedes, y llama al alcaide desta fortaleza, y procura que se me dé un poco de aceite, vino, sal y romero, para hacer el salutífero bálsamo, que en verdad que creo que lo he bien menester ahora, porque se me va mucha sangre de la herida que esta fantasma me ha dado.
+Levantóse Sancho con harto dolor de sus huesos, y fué a oscuras donde estaba el ventero, y encontrándose con el cuadrillero, que estaba escuchando en qué paraba su enemigo, le dijo: Señor, quien quiera que seais, hacednos merced y beneficio de darnos un poco de romero, aceite, sal y vino, que es menester para curar uno de los mejores caballeros andantes que hay en la tierra, el cual yace en aquella cama mal ferido por las manos del encantado moro que está en esta venta. Cuando el cuadrillero tal oyó, túvole por hombre falto de seso; y porque ya comenzaba a amanecer, abrió la puerta de la venta, y llamando al ventero, le dijo lo que aquel buen hombre quería. El ventero le proveyó de cuanto quiso, y Sancho se lo llevó a Don Quijote, que estaba con las manos en la cabeza quejándose del dolor del candilazo, que no le había hecho más mal que levantarle dos chichones algo crecidos, y lo que él pensaba que era sangre, no era sino sudor que sudaba con la congoja de la pasada tormenta. En resolución, él tomó sus simples, de los cuales hizo un compuesto mezclándolos todos y cociéndolos un buen espacio hasta que le pareció que estaban en su punto. Pidió luego alguna redoma para echallo, y como no la hubo en la venta, se resolvió de ponello en una alcuza o aceitera de hoja de lata, de quien el ventero le hizo grata donación; y luego dijo sobre la alcuza más de ochenta Pater Noster y otras tantas Ave Marías, Salves y Credos, y cada palabra acompañaba una cruz a modo de bendición; a todo lo cual se hallaron presentes Sancho, el ventero y el cuadrillero, que ya el arriero sosegadamente andaba entendiendo en el beneficio de sus machos.
+Hecho esto, quisó él mismo hacer luego la experiencia de la virtud de aquel precioso bálsamo que él se imaginaba; y así se bebió de lo que no pudo caber en la alcuza, y quedaba en la olla donde se había cocido casi media azumbre, y apenas lo acabó de beber cuando comenzó a vomitar de manera que no le quedó cosa en el estómago, y con las ansias y agitación del vómito le dió un sudor copiosísimo, por lo cual mandó que lo arropasen y le dejasen solo. Hiciéronlo así, y quedóse dormido más de tres horas, al cabo de las cuales despertó, y se sintió aliviadísimo del cuerpo, y en tal manera mejor de su quebrantamiento, que se tuvo por sano, y verdaderamente creyó que había acertado con el bálsamo de Fierabrás, y que con aquel remedio podía acometer desde allí adelante sin temor alguno cualesquiera
+riñas, batallas y pendencias, por peligrosas que fuesen. Sancho Panza, que también tuvo a milagro la mejoría de su amo, le rogó que le diese a él lo que quedaba en la olla, que no era poca cantidad. Concedióselo Don Quijote, y él tomándola a dos manos con buena fe y mejor talante, se la echó a pechos, y se envasó bien poco menos que su amo. Es, pues, el caso que el estómago del pobre Sancho no debía de ser tan delicado como el de su amo, y así primero que vomitase le dieron tantas ansias y bascas con tantos trasudores y desmayos, que él pensó bien y verdaderamente que era llegada su última hora, y viéndose tan afligido y acongojado, maldecía el bálsamo y el ladrón que se lo había dado. Viéndole así Don Quijote le dijo: Yo creo, Sancho, que todo este mal te viene de no ser armado caballero, porque tengo para mí que este licor no debe de aprovechar a los que no lo son. Si eso sabía vuestra merced, replicó Sancho, mal haya yo y toda mi parentela, ¿para qué consintió que lo gustase?
+En esto hizo su operación el brevaje, y comenzó el pobre escudero a desaguarse por entrambas canales con tanta priesa que la estera de enea, sobre quien se había vuelto a echar, ni la manta de angeo con que se cubría fueron más de provecho; sudaba y trasudaba con tales parasismos y accidentes, que no solamente él, sino todos pensaban que se le acababa la vida. Duróle esta borrasca y mala andanza casi dos horas, al cabo de las cuales no quedó como su amo, sino tan molido y quebrantado que no se podía tener; pero Don Quijote, que, como se ha dicho, se sintió aliviado y sano, quiso partirse luego a buscar aventuras, pareciéndole que todo el tiempo que allí se tardaba era quitársele al mundo y a los en él menesterosos de su favor y amparo, y más con la seguridad y confianza que llevaba en su bálsamo; y así forzado deste deseo, él mismo ensilló a Rocinante, y enalbardó al jumento de su escudero, a quién también ayudó a vestir y subir en el asno; púsose luego a caballo, y llegánose a un rincón de la venta, y asió de un lanzón que allí estaba para que le sirviese de lanza.
+Estábanle mirando todos cuanto había en la venta, que pasaban de más de veinte personas; mirábale también la hija del ventero; y él también no quitaba los ojos della, y de cuando en cuando arrojaba un suspiro, que parecía que le arrancaba de lo profundo de sus entrañas, y todos pensaban que debía de ser del dolor que sentía en las costillas, a lo menos pensábanlo aquellos que la noche antes le habían visto bizmar. Ya que estuvieron los dos a caballo, puesto a la puerta de la venta llamó al ventero, y con voz muy reposada y grave le dijo: Muchas y muy grandes son las mercedes, señor alcaide, que en este vuestro castillo he recibido, y quedó obligadísimo a agradecéroslas todos los días de mi vida; si os las puedo pagar en haceros vengado de algún soberbio que os haya fecho algún agravio, sabed que mi oficio no es otro sino valer a los que poco pueden, vengar a los que reciben tuertos, y castigar alevosías; recorred vuestra memoria, y si hallais alguna cosa de este jaez que encomendarme, no hay sino decilla, que yo os prometo por la orden de caballería que recibí, de faceros satisfecho y pagado a toda vuestra voluntad.
+El ventero le respondió con el mismo sosiego: Señor caballero, yo no tengo necesidad de que vuestra merced me vengue ningún agravio, porque yo sé tomar la venganza que me parece cuando se me hacen; sólo he menester que vuestra merced me pague el gasto que ha hecho esta noche en la venta, así de la paja y cebada de sus dos bestias, como de la cena y camas. ¿Luego venta es ésta? replicó Don Quijote. Y muy honrada, respondió el ventero. Engañado he vivido hasta aquí, respondió Don Quijote, que en verdad que pensé que era castillo, y no malo, pero, pues es así que no es castillo sino venta, lo que se podrá hacer por ahora es que perdoneis por la paga, que yo no puedo contravenir a la orden de los caballeros andantes, de los cuales sé cierto (sin que hasta ahora haya leído cosa en contrario) que jamás pagaron posada, ni otra cosa en venta donde estuviesen, porque se les debe de fuero y de derecho cualquier buen acogimiento que se les hiciere, en pago del insufrible trabajo que padecen buscando las aventuras de noche y de día, en
+invierno y en verano, a pie y a caballo, con sed y con hambre, con calor y con frío, sujetos a todas las inclemencias del cielo, y a todos los incómodos de la tierra.
+Poco tengo yo que ver con eso, respondió el ventero: Págueseme a mí lo que se me debe, y dejémonos de cuentos ni de caballerías, que yo no tengo cuenta con otra cosa que con cobrar mi hacienda. Vos sois un sandio y mal hostelero, respondió Don Quijote. Y poniendo piernas a Rocinante, y terciando su lanzón, se salió de la venta sin que nadie le detuviese; y él, sin mirar si le seguía su escudero, se alongó un buen trecho. El ventero, que le vio ir, y que no le pagaba, acudió a cobrar de Sancho Panza, el cual dijo, que pues su señor no había querido pagar, que tampoco él pagaría, porque siendo él escudero de caballero andante como era, la misma regla y razón corría por él como por su amo en no pagar cosa alguna en los mesones y ventas. Amohinóse mucho desto el ventero, y amenazóle que si no le pagaba, lo cobraría de modo que le pesase. A lo cual Sancho respondió, que por la ley de caballería que su amo había recibido, no pagaría un solo cornado aunque le costase la vida, porque no había de perder por él la buena y antigua usanza de los caballeros andantes, ni se habían de quejar de los escuderos de los tales que estaban por venir al mundo, reprochándole el quebrantamiento de tan justo fuero.
+Quiso la mala suerte del desdichado Sancho, que entre la gente que estaba en la venta se hallasen cuatro perailes de Segovia, tres agujeros del potro de Córdoba, y dos vecinos de la heria de Sevilla, gente alegre, bien intencionada, maleante y juguetona; los cuales casi como instigados y movidos de un mismo espíritu, se llegaron a Sancho, y apeándole del asno, uno dellos entró por la manta de la cama del huésped, y echándole en ella alzaron los ojos y vieron que el techo era algo más bajo de lo que habían menester para su obra y determinaron salirse al corral, que tenía por límite el cielo, y allí puesto Sancho en mitad de la manta, comenzaron a levantarla en alto y a holgarse con él como un perro por carnastolendas. Las voces que el mísero manteado daba fueron tantas, que llegaron a los oídos de su amo, el cual, deteniéndose a escuchar atentamente, creyó que alguna nueva aventura le venía, hasta que claramente conoció que el que gritaba era su escudero, y volviendo las riendas, con un penado golpe llegó a la venta, y hallándola cerrada, la rodeó por ver si hallaba por donde entrar; pero no hubo entrado a las paredes del corral, que no eran muy altas, cuando vió el mal juego que se le hacía a su escudero.
+Vióle bajar y subir por el aire con tanta gracia y presteza, que si la cólera le dejara, tengo para mí que se riera. Probó a subir desde el caballo a las bardas; pero estaba tan molido y quebrantado, que aún apearse no pudo, y así desde encima del caballo comenzó a decir tantos denuestos y baldones a los que a Sancho manteaban, que no es posible acertar a escribillos; mas no por esto cesaban ellos de su risa y de su obra, ni el volador Sancho dejaba sus quejas, mezcladas ya con amenazas, ya con ruegos; mas todo aprovechaba poco, ni aprovechó hasta que de puro cansados le dejaron. Trajéronle allí su asno, y subiéronle encima, le arroparon con su gabán, y la compasiva de Maritornes, viéndole tan fatigado, le pareció ser bien socorrelle con un jarro de agua, y así se le trujo del pozo por ser más fría. Tomóle Sancho, y llevándole a la boca, se paró a las voces que su amo le daba, diciendo: Hijo Sancho, no bebas agua, hijo, no la bebas que te matará; ves, aquí tengo el santísimo bálsamo, y enseñábale la alcuza del brevaje, que con dos gotas que de él bebas sanarás sin duda.
+A estas voces volvió Sancho los ojos como de través, y dijo con otras mayores: ¿Por dicha hásele olvidado a vuestra merced como yo no soy caballero, o quiere que acabe de vomitar las entrañas que me quedaron de anoche? Guárdese su licor con todos los diablos, y déjeme a mí; y el acabar de decir ésto y el comenzar a beber todo fue uno; mas como al primer trago vió que era agua, no quiso pasar adelante, y rogó a Maritornes que se le trujese de vino; y así lo hizo ella de muy
+buena voluntad, y lo pagó de su mismo dinero, porque en efecto se dice de ella que, aunque estaba en aquel trato, tenía unas sombras y lejos de cristiana. Así como bebió Sancho, dió de los carcaños a su asno, y abriéndole la puerta de la venta de par en par, se salió della muy contento de no haber pagado nada, y de haber salido con su intención, aunque había sido a costa de sus acostumbrados fiadores, que eran sus espaldas. Verdad es que el ventero se quedó con sus alforjas en pago de lo que se le debía; mas Sancho no las echo menos, según salió turbado. Quiso el ventero atrancar bien la puerta así como le vió fuera; mas no lo consintieron los manteadores, que era gente que, aunque Don Quijote fuera verdaderamente de los caballeros andantes de la Tabla Redonda, no le estimaran en dos ardites.
+Capítulo 18: Donde se cuentan las razones que pasó Sancho Panza con su señor Don Quijote con otras aventuras dignas de ser contadas.
+Llegó Sancho a su amo marchito y desmayado, tanto que no podía arrear a su jumento. Cuando así le vió Don Quijote, le dijo: Ahora acabo de creer, Sancho bueno, que aquel castillo o venta es encantado sin duda, porque aquellos que tan atrozmente tomaron pasatiempo contigo, ¿qué podían ser sino fantasmas y gente del otro mundo? Y confirmo ésto, por haber visto que cuando estuve por las bardas del corral mirando los actos de tu triste tragedia, no me fue posible subir por ellas, ni menos pude apearme de Rocinante, porque me debían de tener encantado; que te juro por la fe de quien soy, que si pudiera subir o apearme, que yo te hubiera vengado de manera que aquellos follones y malandrines se acordaran de la burla para siempre, aunque en ello supiera contravenir a las leyes de caballería, que como ya muchas veces te he dicho, no consienten que caballero ponga mano contra quien no lo sea, si no fuere en defensa de su propia vida y persona en caso de urgente y gran necesidad.
+También me vengara yo si pudiera, dijo Sancho, fuera o no fuera armado caballero; pero no pude, aunque tengo para mí que aquellos que se holgaron conmigo no eran fantasmas ni hombres encantados, como vuestra merced dice, sino hombres de carne y de hueso como nosotros y todos, según los oí nombrar cuando me volteaban, tenían sus nombres, que el uno se llamaba Pedro Martínez, y el otro Tenorio Hernández, y el ventero oí que se llamaba Juan Palomeque el Zurdo; así que, señor, el no poder saltar las bardas del corral, ni apearse del caballo, en él estuvo que en encantamientos; y lo que yo saco en limpio de todo ésto, es que estas aventuras que andamos buscando, al cabo al cabo nos han de traer a tantas desventuras, que no sepamos cuál es nuestro pie derecho; y lo que sería mejor y más acertado, según mi poco entendimiento, fuera el volvernos a nuestro lugar, ahora que es tiempo de la siega, y de entender en la hacienda, dejándonos de andar de ceca en meca y de zoca en colodra como dicen.
+¡Qué poco sabes, Sancho, respondió Don Quijote, de achaque de caballería: calla y ten paciencia, que día vendrá donde veas por vista de ojos cuán honrosa cosa es andar en este oficio. Sino dime: ¿qué mayor contento puede haber en el mundo, o qué gusto puede igualarse al de vencer una batalla, y al de triunfar de su enemigo? Ninguno, sin duda alguna. Así debe de ser, respondió Sancho, puesto que yo no lo sé; sólo sé que después que somos caballeros andantes, o vuestra merced lo es (que yo no hay para qué me cuenten en tan honroso número) jamás hemos vencido batalla alguna, si no fue la del vizcaíno, y aún de aquella salió vuestra merced con media oreja y media celada menos; que después acá todo ha sido palos y más palos, puñadas y más puñadas, llevando yo de ventaja el manteamiento, y haberme sucedido por personas encantadas, de quien no puedo vengarme, para saber hasta dónde llega el gusto del vencimiento del enemigo, como vuestra merced dice.
+Esa es la pena que yo tengo, y la que tú debes tener, Sancho, respondió Don Quijote; pero de aquí en adelante yo procuraré haber a las manos alguna espada hecha con tal maestría, que al que la trujere consigo no le puedan hacer ningún género de encantamientos; y aún podría ser que me deparase la ventura aquella de Amadís, cuando se llamaba el "Caballero de la Ardiente Espada", que fue una de las mejores espadas que tuvo caballero en el mundo; porque, fuera de que tenía la virtud dicha, cortaba como una navaja, y no había armadura, por fuerte y encantada que fuese, que se le parase delante. Yo soy tan venturoso, dijo Sancho,
+que cuando eso fuese, y vuestra merced viniese a hallar semejante espada, sólo vendría a servir y aprovechar a los armados caballeros como el bálsamo, y a los escuderos que se los papen duelos. No temas eso, Sancho, dijo Don Quijote, que mejor lo hará el cielo contigo.
+En estos coloquios iban Don Quijote y su escudero, cuando vio Don Quijote que por el camino que iban venía hacia ellos una grande y espesa polvareda, y en viéndola se volvió a Sancho, y le dijo: Este es el día, oh Sancho, en el cual se ha de ver el bien que me tiene guardado mi suerte; este es el día, digo, en que se ha de mostrar tanto como en otro alguno el valor de mi brazo, y en que tengo de hacer obras que queden escritas en el libro de la fama por todos los venideros siglos. ¿Ves aquella polvareda que allí se levanta, Sancho? Pues toda es cuajada de un copiosísimo ejército que de diversas e innumerables gentes compuesto, por allí viene marchando. A esa cuenta, dos deben de ser, dijo Sancho, porque desta parte contraria se levanta asimesmo otra semejante polvareda. Volvió a mirarla Don Quijote, y vió que así era la verdad; y alegrándose sobremanera, pensó sin duda alguna que eran dos ejércitos que venían a embestirse y a encontrarse en mitad de aquella espaciosa llanura, porque tenía a todas horas y momentos llena la fantasía de aquellas batallas, encantamientos, sucesos, desatinos, amores, desafíos, que en los libros de caballería se cuentan; y todo cuanto hablaba, pensaba o hacía, era encaminado a cosas semejantes, y a la polvareda que había visto la levantaban dos grandes manadas de ovejas y carneros, que por el mismo camino de dos diferentes partes venían, las cuales con el polvo no se echaron de ver hasta que llegaron cerca; y con tanto ahínco afirmaba Don Quijote que eran ejército, que Sancho le vino a creer, y a decirle: Señor, ¿pues qué hemos de hacer nosotros? ¿Qué? dijo Don Quijote. Favorecer y ayudar a los menesterosos y desvalidos; y has de saber, Sancho, que este que viene por nuestra frente lo conduce y guía el gran emperador Alifanfaron, señor de la grande isla Trapobana; este otro, que a mis espaldas marcha, es el de su enemigo el rey de los Garamantas, Pentapolin del arremangado brazo, porque siempre entra en las batallas con el brazo derecho desnudo.
+Pues ¿por qué se quieren tan mal estos dos señores? preguntó Sancho. Quiérense mal, respondió Don Quijote, porque este Alifanfaron es un furibundo pagano, y está enamorado de la hija de Pentapolin, que es una muy hermosa y además agraciada señora, y es cristiana, y su padre no se la quiere entregar al rey pagano si no deja primero la ley de su falso profeta Mahoma, y se vuelve a la suya. Para mis barbas, dijo Sancho, si no hace muy bien Pentapolin, y que le tengo de ayudar en cuanto pudiere. En eso harás lo que debes, Sancho, dijo Don Quijote, porque para entrar en batallas semejantes no requiere ser armado caballero. Bien se me alcanza eso, respondió Sancho; pero ¿dónde pondremos a este asno, que estemos ciertos de hallarle después de pasada la refriega, porque al entrar en ella en semejante caballería no creo que está en uso hasta ahora? Así es verdad, dijo Don Quijote; lo que puedes hacer dél es dejarle a sus aventuras, ahora se pierda o no, porque serán tanto los caballos que tendremos después que salgamos vencedores, que aún corre peligro Rocinante no le trueque por otro; pero estáme atento y mira, que te quiero dar cuenta de los caballeros más principales que en estos dos ejércitos vienen, y para que mejor los veas y los notes, retirémonos a aquel altillo que allí se hace, de donde se deben descubrir los dos ejércitos.
+Hiciéronlo así y pusiéronse sobre una loma, desde la cual se veían bien las dos manadas que a Don Quijote se le hicieron ejército, si las nubes del polvo que levantaban no les turbara y cegara la vista; pero con todo esto, viendo en su imaginación lo que no veía ni había, con voz levantada comenzó a decir: Aquel caballero que allí ves de las armas jaldes, que trae en el escudo un león coronado rendido a los pies de una doncella, es el valeroso Laurcalco, señor de la Puente de Plata. El otro de las armas de las flores de oro, que trae en el escudo tres coronas de plata en campo azul, es el temido Micocolembo, gran duque de Quirocia. El otro
+de los miembros gigantes que está a su derecha mano, es el nunca medroso Brandabarbaran de Boliche, señor de las tres Arabias, que viene armado de aquel cuero de serpiente, y tiene por escudo una puerta, que según es fama, es una de las del templo que derribó Sanson cuando con su muerte se vengó de sus enemigos. Pero vuelve los ojos a estotra parte, y verás delante y en la frente de estotro ejército al siempre vencedor y jamás vencido Timonel de Carcajona, príncipe de la Nueva Vizcaya, que viene armado con las armas partidas a cuarteles azules, verdes, blancos y amarillos, y trae en el escudo un gato de oro en campo leonado con una letra que dice "Miau", que es el principio del nombre de su dama, que según se dice es la sin par Miaulina, hija del duque de Alfeñiquen del Algarbe. El otro, que carga y oprime los lomos de aquella poderosa alfana, que trae las armas como nieve blancas, y el escudo blanco y sin empresa alguna, es un caballero novel, de nación francés, llamado Pierres Papin, señor de las baronías de Utrique. El otro, que bate las hijadas con los herrados carcaños a aquella pintada y lijera cebra, y trae las armas de los veros azules, es el poderoso duque de Nervia, Espartafilardo del Bosque, que trae por empresa en el escudo una esparraguera con una letra en castellano, que dice así: "Rastrea mi suerte".
+Y desta manera fué nombrando muchos caballeros del uno y del otro escuadrón que él se imaginaba, y a todos les dió sus armas, colores, empresas y motes de improviso, llevado de la imaginación de su nunca vista locura, y sin parar prosiguió diciendo: A este escuadrón frontero forman y hacen gentes de diversas naciones; aquí están los que beben las dulces aguas del famoso Janto, los montuosos que pisan los masilíscos campos, los que criban el finísimo y menudo oro en la felice Arabia, los que gozan las famosas y frescas riberas del claro Termodonte, los que sangran por muchas y diversas vías al dorado Pactolo, los mumidas dudosos en sus promesas, los persas en arcos y flechas famosos, los partos, los medos, que pelean huyendo, los árabes de mudables casas, los citas tan crueles como blancos, los etíopes de horadados labios, y otras infinitas naciones cuyos rostros conozco y veo, aunque de los nombres no me acuerdo. En estotro escuadrón vienen los que beben las corrientes cristalinas del olivífero Betis, los que tersan y pulen con el licor del siempre rico y dorado Tajo, los que gozan las provechosas aguas del divino Genil, los que pisan los tartesios campos de pastos abundantes, los que se alegran en elíseos jerezanos prados, los manchegos ricos y coronados de rubias espigas, los de hierro vestidos, reliquias antiguas de la sangre goda, los que en Pisuerga se bañan, famoso por la mansedumbre de su corriente, los que su ganado apacientan en las extendidas dehesas del tortuoso Guadiana, celebrado por su escondido curso, los que tiemblan con el frío del silboso Pirineo y con los blancos copos del levantado Apenino; finalmente, cuantos toda la Europa en sí contiene y encierrra.
+¡Válame Dios, y cuántas provincias dijo, cuántas naciones nombró, dándole a cada una con maravillosa presteza los atributos que le pertenecían, todo absorto y empapado en lo que había leído en sus libros mentirosos! Estaba Sancho Panza colgado de sus palabras sin hablar ninguna, y de cuando en cuando volvía la cabeza a ver si veía los caballeros y gigantes que su amo nombraba, y como no descubría a ninguno le dijo: Señor, encomiendo al diablo, si hombre, ni gigante, ni caballero de cuantos vuestra merced dice parece por todo esto, a lo menos yo no los veo; quizá todo esto debe ser encantamiento como las fantasmas de anoche.
+¿Cómo dices eso? respondió Don Quijote, ¿no oyes el relinchar de los caballos, el tocar de los clarines, el ruido de los atambores? No oigo otra cosa, respondió Sancho, sino balidos de ovejas y carneros, y así era la verdad, porque ya llegaban cerca los dos rebaños. El miedo que tienes, dijo Don Quijote, te hace, Sancho, que ni veas ni oigas a derechas, porque uno de los efectos del miedo es turbar los sentidos, y hacer que las cosas no parezcan lo que son; y si es que tanto temes, retírate a una parte y déjame solo, que solo basto a dar la victoria a la parte a quien yo diere mi ayuda. Y diciendo ésto puso las espuelas a Rocinante, y puesta la
+lanza en el ristre bajó de la costezuela como un rayo. Diole voces Sancho, diciéndole: Vuélvase vuestra merced, señor Don Quijote, que voto a Dios que son carneros y ovejas las que va a embestir: vuélvase, desdichado del padre que me engendró: ¡qué locura es ésta! Mire que no hay gigante ni caballero alguno, ni gatos, ni armas, ni escudos partidos ni enteros, ni veros azules ni endiablados. ¿Qué es lo que hace? Pecador soy yo a Dios. Ni por esas volvió Don Quijote, antes en altas voces iba diciendo: Ea, caballeros, los que seguís y militais debajo de las banderas del poderoso emperador Pentapolin del arremangado brazo, seguidme todos, vereis cuán facilmente le doy venganza de su enemigo Alifanfaron de la Trapobana.
+Esto diciendo, se entró por medio del escuadrón de las ovejas, y comenzó de alanceallas con tanto con coraje y denuedo, como si de veras alanceara a sus mortales enemigos. Los pastores y ganaderos que con la manada venían, dábanle voces que no hiciese aquello; pero viendo que no aprovechaban, desciñéronse las ondas, y comenzaron a saludarle los oídos con piedras como el puño. Don Quijote no se curaba de las piedras; antes discurriendo a todas partes, decía: ¿Adónde estás, soberbio Alifanfaron? Vente a mí, que un caballero solo soy, que desea de solo a solo probar tus fuerzas y quitarte la vida en pena de la que das al valeroso Pentapolin Garamanta.
+Llegó en ésto una peladilla de arroyo, y dándole en un lado, le sepultó dos costillas en el cuerpo. Viéndose tan maltrecho, creyó sin duda que estaba muerto o mal ferido, y acordándose de su licor, sacó su alcuza, y púsosela a la boca, y comenzó a echar licor en el estomago; mas antes que acabase de envasar lo que a él le parecía que era bastante llegó otra almendra, y dióle en la mano y en la alcuza tan de lleno, que se la hizo pedazos, llevándole de camino tres o cuatro dientes y muelas de la boca, y machucándole malamente dos dedos de la mano.
+Tal fue el golpe primero, y tal el segundo, que le fue forzoso al pobre caballero dar consigo del caballo abajo. Llegáronse a él los pastores, y creyendo que le habían muerto, y así con mucha priesa recogieron su ganado, y cargaron de las reses muertas, que pasaban de siete, y sin averiguar otra cosa se fueron. Estábase todo este tiempo Sancho sobre la cuesta, mirando las locuras que su amo hacía, y arrancábase las barbas, maldiciendo la hora y el punto en que la fortuna se le había dado a conocer. Viéndole, pues, caído en el suelo, y que ya los pastores se habían ido, bajó de la cuesta y llegóse a él, y hallándole de muy mal arte, aunque no había perdido el sentido, y díjole: ¿No le decía yo, señor Don Quijote, que se volviese, que los que iba a acometer no eran ejércitos, sino manadas de carneros?
+Como éso puede desaparecer y contrahacer aquel ladrón del sabio mi enemigo, respondió Don Quijote: sábete, Sancho, que es muy facil cosa a los tales hacernos parecer lo que quieren, y este maligno que me persigue, envidioso de la gloria que vío que yo había de alcanzar desta batalla, ha vuelto los escuadrones de enemigos en manadas de ovejas. Si no haz una cosa, Sancho, por mi vida, porque te desengañes y veas ser verdad lo que te digo: sube en tu asno y síguelos bonitamente, y verás cómo, en alejándose de aquí algún poco, se vuelven en su ser primero, y dejando de ser carneros, son hombres hechos y derechos, como te los pinté primero, pero no vayas ahora, que he menester tu favor y ayuda; llégate a mí, y mira cuántas muelas y dientes me faltan, que me parece que no me ha quedado ninguno en la boca.
+Llegóse Sancho tan cerca, que casi le metía los ojos en la boca, y fue a tiempo que ya había obrado el bálsamo en el estómago de Don Quijote, y al tiempo que Sancho llegó a mirarle la boca, arrojó de sí, más recio que una escopeta, cuanto dentro tenía, y le dió con todo ello en las barbas del compasivo escudero. ¡Santa María!
+dijo Sancho. ¿Y qué es ésto que me ha sucedido? Sin duda este pecador está herido de muerte, pues vomita sangre por la boca. Pero reparando un poco más en ello, echó de ver en la color, sabor y olor, que no era sangre, sino el bálsamo de la alcuza que él le había visto beber; y fué tanto el asco que tomó, que revolviéndosele el estómago, vomitó las tripas sobre su mismo señor, y quedaron entrambos como de perlas. Acudió Sancho a su asno para sacar de las alforjas con qué limpiarse y con qué curar a su amo, y como no las halló, estuvo a punto de perder el juicio; maldíjose de nuevo; y propuso en su corazón de dejar a su amo y volverse a su tierra, aunque perdiese el salario de lo servido y las esperanzas del gobierno de la prometida ínsula.
+Levántose en esto Don Quijote, y puesta la mano izquierda en la boca, porque no se le acabasen de salir los dientes, asió con la otra las riendas de Rocinante, que nunca se había movido de junto a su amo (tal era de leal y bien acondicionado), y fuese a donde su escudero estaba, de pechos sobre su asno, con la mano en la mejilla en guisa de hombre pensativo, además, y viéndole Don Quijote de aquella manera, con muestras de tanta tristeza, le dijo: Sábete, Sancho, que no es un hombre más que otro si no hace más que otro: todas esta borrascas que nos suceden son señales de que presto ha de serenar el tiempo, y han de sucedernos bien las cosas, porque no es posible que el mal ni el bien sean durables, y de aquí se sigue que, habiendo durado mucho el mal, el bien está ya cerca, así que no debes congojarte por las desgracias que a mí me suceden, pues a ti no te cabe parte de ellas. ¿Cómo no? respondió Sancho; ¿por ventura el que ayer mantearon era otro que el hijo de mi padre? ¿y las alforjas que hoy me faltan son de otro que del mismo? ¿Qué, te faltan las alforjas, Sancho? dijo Don Quijote. Sí que me faltan, respondió Sancho. ¿De ese modo, no tenemos que comer hoy? replicó Don Quijote. Eso fuera, respondió Sancho, cuando faltaran por estos prados las yerbas que vuestra merced dice que conoce, con que suelen suplir semejantes faltas los tan mal aventurados caballeros andantes, como vuestra merced es.
+Con todo eso, respondió Don Quijote, tomara yo más aina un cuartel de pan, o una hogaza y dos cabezas de sardinas arenques, que cuantas yerbas describe Dioscórides, aunque fuera el ilustrado doctor Laguna; mas con todo ésto, sube en tu jumento, Sancho el bueno, y vente tras mi, que Dios, que es proveedor de todas las cosas, no nos ha de faltar, y más andando tan en su servicio como andamos, pues no falta a los mosquitos del aire, ni a los gusanillos de la tierra, ni a los renacuajos del agua, y es tan piadoso, que hace salir su sol sobre los buenos y malos, y llueve sobre los injustos y justos. Más bueno era vuestra merced, dijo Sancho, para predicador que para caballero andante. De todo sabían y han de saber los caballeros andantes, Sancho, dijo Don Quijote, porque caballero andante hubo en los pasados siglos, que así se paraba a hacer un sermón o plática en un camino real, como si fuera graduado por la universidad de París, de donde se infiere, que nunca la lanza embotó la pluma, ni la pluma la lanza. Ahora bien, sea así como vuestra merced dice, respondió Sancho; vamos ahora de aquí y procuremos donde alojar esta noche, y quiera Dios que sea en parte donde no haya mantas, ni manteadores, ni fantasmas, ni moros encantados, que si los hay, daré al diablo el hato y el garabato.
+Pídeselo tú a Dios, dijo Don Quijote, guía tú por donde quisieres, que esta vez quiero dejar a tu elección el alojarnos; pero dame acá la mano, y atiéntame con el dedo, y mira bien cuántos dientes y muelas me faltan deste lado derecho de la quijada alta, que allí siento el dolor. Metió Sancho los dedos, y estándole atentándo le dijo: ¿Cuántas muelas solía vuestra merced tener en esta parte? Cuatro, respondió Don Quijote, fuera de la cordal todas enteras y muy sanas. Mire vuestra merced bien lo que dice, señor, respondió Sancho. Digo cuatro, si no eran cinco, respondió Don Quijote, porque en toda mi vida me han sacado diente ni muela de la boca, ni se me ha caído, ni comido de neguijon, ni de reuma alguna. Pues en
+esta parte de abajo, dijo Sancho, no tiene vuestra merced más de dos muelas y media, ni ninguna, que toda está rasa como la palma de la mano.
+¡Sin ventura yo! dijo Don Quijote, oyendo las tristes nuevas que su escudero le daba, que más quisiera que me hubieran derribado un brazo, como no fuera el de la espada; porque te hago saber, Sancho, que la boca sin muelas es como el molino sin piedra, y en mucho más se ha de estimar un diente que un diamante; mas a todo esto estamos sujetos los que profesamos la estrecha orden de la caballería. Sube, amigo, y guía, que yo te seguiré al paso que quisieres. Hízolo así Sancho, y encaminose hacia donde le pareció que podía hallar acogimiento, sin salir del camino real, que por allí iba muy seguido. Yéndose, pues, poco a poco, porque el dolor de las quijadas de Don Quijote no le dejaba sosegar, ni atender a darse priesa, quiso Sancho entretenelle y divertirle diciéndole alguna cosa, y entre otras que le dijo, fue lo que se dirá en el siguiente capítulo.
+Capítulo 19: De las discretas razones que Sancho pasaba con su amo, y de la aventura que le sucedió con un cuerpo muerto, con otros acontecimientos famosos.
+Paréceme, señor mío, que todas estas desventuras que estos días nos han sucedido, sin duda alguna han sido pena del pecado cometido por vuestra merced contra la orden de caballería, no habiendo cumplido el juramento que hizo de no comer pan a manteles ni con la reina folgar, con todo aquello que a esto se sigue y vuestra merced juró de cumplir, hasta quitar aquel almete de Malandrino, o como se llama el moro, que no me acuerdo bien. Tienes mucha razón, Sancho, dijo Don Quijote; mas para decirte verdad, ello se me había pasado de la memoria y también puedes tener por cierto que por la culpa de no habérmelo tú acordado en tiempo, te sucedió aquello de la manta; pero yo haré la enmienda, que modos hay de composición en la orden de la caballería para todo. ¿Pues juré yo algo por dicha? respondió Sancho. No importa que no hayas jurado, dijo Don Quijote; basta que yo entiendo que de participantes no estás muy seguro, y por sí o por no, no será malo proveernos de remedio. Pues si ello es así, dijo Sancho, mire vuestra merced, no se le torne a olvidar ésto como lo del juramento; quizá les volverá la gana a los fantasmas de solazarse otra vez conmigo, y aún con vuestra merced, si le ven tan pertinaz.
+En éstas y otras pláticas les tomó la noche en mitad del camino, sin tener ni descubrir donde aquella noche se recogiesen, y lo que no había de bueno en ello, era que perecían de hambre, que con la falta de las alforjas les faltó toda la despensa y matalotaje; y para acabar de confirmar esta desgracia, les una aventura, que sin artificio alguno verdaderamente lo parecía, y fue que la noche cerró con alguna oscuridad; pero con todo esto caminaban, creyendo Sancho que, pues aquel camino era real, a una o dos leguas de buena razón hallaría en él alguna venta. Yendo, pues, desta manera, la noche oscura, el escudero hambriento, y el amo con ganas de comer, vieron que por el mismo camino que iban venían hacia ellos gran multitud de lumbres, que no parecían sino estrellas que se movían.
+Pasmóse Sancho en viéndolas, y Don Quijote no las tuvo todas consigo: tiró el uno del cabestro a su asno, y el otro de las riendas a su rocino, y estuvieron quedos mirando atentamente lo que podía ser aquello, y vieron que las lumbres se iban acercando a ellos, y mientras más se llegaban, mayores parecían, a cuya vista Sancho comenzó a temblar como un azogado, y los cabellos de la cabeza se le erizaron a Don Quijote, el cual, animándose un poco, dijo: Esta sin duda, Sancho, debe de ser grandísima y peligrosísima aventura, donde será necesario que yo muestre todo mi valor y esfuerzo. ¡Desdichado de mí! respondió Sancho. Si acaso esta aventura fuese de fantasmas como me lo va pareciendo, ¿adónde habrá costillas que la sufran? Por más fantasmas que sean, dijo Don Quijote, no consentiré yo que te toquen en el pelo de la ropa, que si la otra vez se burlaron contigo, fue porque no pude saltar las paredes del corral, pero ahora estamos en campo raso, donde podré yo como quisiera esgrimir mi espada. Y si le encantan y entomecen como la otra vez lo hicieron, dijo Sancho, ¿qué aprovechará estar en campo abierto o no? Con todo eso, replicó Don Quijote, te ruego Sancho, que tengas buen ánimo, que la experiencia te dará a entender el que yo tengo. Sí tendré, si a Dios place, respondió Sancho, y apartándose los dos a un lado del camino, tornaron a mirar atentamente lo que aquello de aquellas lumbres que caminaban podía ser, y de allí a muy poco descubrieron muchos encamisados, cuya
+temerosa visión de todo punto remató el ánimo de Sancho Panza, el cual comenzó a dar diente con diente como quien tiene frío de cuartana; y creció más el batir y dentellear cuando distintamente vieron lo que era, porque descubrieron hasta veinte encamisados, todos a caballo, con sus hachas encendidas en las manos, detrás de los cuales venía una litera cubierta de luto, a la cual seguían otros seis de a caballo enlutados hasta los piés de las mulas, que bien vieron que no eran caballos en el sosiego con que caminaban; iban los encamisados murmurando entre sí con una voz baja y compasiva.
+Esta extraña visión a tales horas y en despoblado bien bastaba para poner miedo en el corazón de Sancho, y aún en el de su amo, y así fuera en cuanto a Don Quijote, que ya Sancho había dado al través con todo su esfuerzo: lo contrario le avino a su amo, al cual en aquel punto se le representó en su imaginación al vivo que aquella era una de las aventuras de sus libros; figurósele que la litera eran andas donde debían de ir algún mal ferido o muerto caballero, cuya venganza a él solo estaba reservada, y sin hacer otro discurso enristró su lanzón, púsose bien en la silla, y con el gentil brío y continente se puso en la mitad del camino por donde los encaminados forzosamente habían de pasar, y cuando los vio cerca, alzó la voz y dijo: Deteneos, caballeros, quien quiera que seais, y dadme cuenta de quién sois, de dónde venís, a dónde vais, qué es lo que en aquellas andas lleváis, que, según las muestras, o vosotros habeis fecho, o vos han fecho algún desaguisado, y conviene y es menester que yo lo sepa, o bien para castigaros del mal que ficisteis, o bien para vengaros del tuerto que vos ficieron. Vamos de priesa, respondió uno de los encamisados, y está la venta lejos y no nos podemos detener a dar tanta cuenta como pedís. Y picando la mula pasó adelante. Sintióse desta respuesta grandemente Don Quijote, y trabando a la mula del freno dijo: Deteneos y sed más bien criado, y dadme cuenta de lo que os he preguntado; si no, conmigo sois todos en batalla.
+Era la mula asombradiza, y al tomarla del freno se espantó de manera que alzándose en sus pies dió con su dueño por las ancas en el suelo. Un mozo que iba a pie, viendo caer al encamisado, comenzó a denostar a Don Quijote, el cual, ya encolerizado sin esperar más, enristrando su lanzón arremetió a uno de los enlutados, y mal ferido dio con él en tierra, y revolviéndose por los demás, era cosa de ver con la presteza que los acometía y desbarataba, que no parecía sino que en aquel instante le habían nacido alas a Rocinante, según andaba de ligero y orgulloso. Todos los encamisados eran gente medrosa y sin armas, y así con facilidad en un momento dejaron la refriega, y comenzaron a correr por aquel campo con las hachas encendidas, que no parecían sino a los de las mascaras, que en noche de regocijo y fiesta corren. Los enlutados, asimismo revueltos y envueltos en sus faldamentas y lobas, no se podían mover; así que muy a su salvo Don Quijote los apaleó a todos, y les hizo dejar su sitio mal de su grado, porque todos pensaron que aquel no era hombre, sino diablo del infierno, que les salía a quitar el cuerpo muerto que en la litera llevaban.
+Todo lo miraba Sancho admirado del ardimiento de su señor, y decía entre sí: Sin duda este mi amo es tan valiente y esforzado como él dice. Estaba un hacha ardiendo en el suelo junto al primero que derribó la mula, a cuya luz le pudo ver Don Quijote, y llegándose a él le puso la punta del lanzón en el rostro, diciéndole que se rindiese, si no que le mataría: a lo cual respondió el caído: Harto rendido estoy, pues no me puedo mover, que tengo una pierna quebrada; suplico a vuestra merced, si es caballero cristiano, que no me mate, que cometerá un gran sacrilegio, que soy licenciado y tengo las primeras órdenes. ¿Pues quién diablos os ha traído aquí, dijo Don Quijote, siendo hombre de iglesia? ¿Quién, señor? replicó él caído. Mi desventura. Pues otra mayor os amenaza, dijo Don Quijote, si no me satisfaceis a todo cuanto primero os pregunte. Con facilidad será vuestra merced satisfecho, respondió el licenciado; y así sabrá vuestra merced, que denantes dije que yo era
+licenciado, no soy sino bachiller, y llámome Alonso López; soy natural de Alcovendas, vengo de la ciudad de Baeza con otros once sacerdotes, que son los que huyeron con las hachas, vamos a la ciudad de Segovia, acompañando un cuerpo muerto que va en aquella litera, que es de un caballero que murió en Baeza, donde fue depositado, y ahora como digo, llevábamos sus huesos a su sepultura, que está en Segovia, de donde era natural.
+¿Y quién le mató? preguntó Don Quijote. Dios, por medio de unas calenturas pestilentes que le dieron, respondió el bachiller. Desa suerte, dijo Don Quijote, quitado me ha nuestro Señor del trabajo que había de tomar en vengar su muerte, si otro alguno le hubiera muerto: pero habiéndole muerto quien le mató, no hay sino callar y encoger los hombros, porque lo mismo hiciera si a mí mismo me matara; y quiero que sepa vuestra reverencia, que soy un caballero de la Mancha, llamado Don Quijote, y es mi oficio y ejercicio andar por el mundo enderazano tuertos y desfaciendo agravios. No sé cómo puede ser eso de enderezar tuertos, dijo el bachiller; pues a mí de derecho me habeis vuelto tuerto, dejándome una pierna quebrada, la cual no se verá derecha en todos los días de mi vida, y el agravio que en mí habeis deshecho ha sido dejarme agraviado de manera que me quedaré agraviado para siempre, y harta desventura ha sido topar con vos, que vais buscando aventuras. No todas las cosas, respondió Don Quijote, suceden de un mismo modo: el daño estuvo, señor bachiller Alonso López, en venir como veníades de noche, vestidos con aquellas sobrepellices, con las hachas encendidas, rezando, cubiertos de luto, que propiamente semejábades cosa mala y del otro mundo, y así yo no puedo dejar de cumplir con mi obligación acometiéndoos, y os acomeitera aunque verdaderamente supiera que erades los mismos Satanases del infierno, que para tales os juzgué y tuve siempre. Ya que así lo ha querido mi suerte, dijo el bachiller, suplicó a vuestra merced, señor caballero andante, que tan mala andanza me ha dado, me ayude a salir de debajo desta mula, que me tiene tomada una pierna entre el estribo y la silla. Hablara yo para mañana, dijo Don Quijote; ¿y hasta cuándo aguardábades a decirme vuestro afán? Dió luego voces a Sancho Panza que viniese; pero él no se curó de venir, porque andaba ocupado desvalijando una acémila de repuesto que traían aquellos buenos señores bien bastecida de cosa de comer.
+Hizo Sancho costal de su gabán y recogiendo además todo lo que pudo y cupo en el talego de la acémila, cargo su jumento, y luego acudió a las voces de su amo y ayudó a sacar al señor bachiller de la opresión de la mula, y poniéndole encima della, le dio el hacha, y Don Quijote le dijo que siguiese la derrota de sus compañeros, a quien de su parte pidiese perdón de el agravio, que no había sido en su mano dejar de haberles hecho. Dijóle también Sancho: Si acaso quisieren saber esos señores quién ha sido el valeroso que tales los puso, dígales vuestra merced que es el famoso Don Quijote de la Mancha, que por otro nombre se llama el "Caballero de la Triste Figura". Con esto se fue el bachiller, y Don Quijote preguntó a Sancho, que qué le había movido a llamarle el "Caballero de la Triste Figura", más entonces que nunca. Yo se lo diré, respondió Sancho, porque le estado mirando un rato a luz de aquella hacha que llevaba aquel mal andante, y verdaderamente tiene vuestra merced la más mala figura de poco acá que jamás he visto; y débelo de haber causado o ya el cansancio deste combate, o ya la falta de muelas o dientes.
+No es eso, respondió Don Quijote, sino el sabio a cuyo cargo debe de estar el escribir la historia de mis hazañas, le habrá parecido que será bien que yo tome algún nombre apelativo, como lo tomaban los caballeros pasados: cuál se llamaba "el de la Ardiente Espada", cuál "el del Unicornio", aquel "el de las Doncellas", aqueste "el del ave Fénix", el otro "el Caballero del Grifo", estotro "el de la Muerte", y por estos nombres e insignias eran conocidos por la toda la redondez de la tierra; y así digo que el sabio ya dicho te habrá puesto en la lengua y en el pensamiento ahora que me llamase el "Caballero de la Triste Figura", como pienso llamarme
+desde hoy en adelante, y para que mejor me cuadre tal nombre, determino de hacer pintar, cuando haya lugar, en mi escudo una muy triste figura. No hay para qué, señor, querer gastar tiempo y dineros en hacer esta figura, dijo Sancho, sino lo que se ha de hacer es que vuestra merced descubra la suya, y dé rostro a los que le miraren, que sin más ni más, y sin otra imagen ni escudo, le llamarán "el de la Triste Figura", y créame que le digo la verdad, porque le prometo a vuestra merced, señor (y esto sea dicho en burlas), que le hace tan mala cara la hambre y la falta de las muelas, que, como ya tengo dicho, se podrá muy bien excusar la triste pintura. Rióse Don Quijote del donaire de Sancho; pero con todo propuso de llamarse de aquel nombre en pudiendo pintar su escudo o rodela como había imaginado.
+Olvidábaseme de decir, dijo al marcharse el bachiller a Don Quijote, que advierta a vuestra merced que queda descomulgado por haber puesto las manos violentamente en cosa sagrada, justa ilud: sit quis suadente diabolo, etc. No entiendo este latín, respondió Don Quijote: mas yo sé bien que no puse las manos, sino este lanzón; cuanto más, que yo no pensé que ofendía a sacerdotes, ni a cosas de la Iglesia, a quien respeto y adoro como católico y fiel cristiano que soy, sino a fantasmas y vestiglos del otro mundo; y cuando eso así fuese, en la memoria tengo lo que le pasó al CId Rui Diaz cuando quebró la silla del embajador de aquel rey delante de su santidad el Papa, por lo cual le descomulgó, y anduvo aquel día el buen Rodrigo de Vivar como muy honrado y valiente caballero.
+En oyendo ésto el bachiller se fue, como queda dicho, sin replicarle palabra. Quisiera Don Quijote mirar si el cuerpo que venía en la litera eran huesos o no; pero no lo consintió Sancho, diciendole: Señor, vuestra merced ha acabado esta peligrosa aventura lo más a su salvo de todas las que yo he visto; esta gente, aunque vencida y desbaratada, podría ser que cayese en la cuenta de que los venció sólo una persona, y corridos y avergonzados desto volviesen a rehacerse y aa buscarnos, y nos diesen muy bien en que entender. El jumento está como viene, la montaña cerca, la hambre carga, no hay que hacer sino retirarnos con gentil compás de piés, y como dicen, váyase el muerto a la sepultura y el vivo a la hogaza. Y antecogiendo a su asno, rogó a su señor que le siguiese, el cual, pareciéndole que Sancho tenía razón, sin volverle a replicar le siguió. Y a poco trecho que caminaban por entre dos montañuelas, se hallaron en un espacioso y escondido valle, donde se apearon, y Sancho alivió el jumento; y tendidos sobre la verde yerba, con la salsa de su hambre almorzaron, comieron, merendaron y cenaron a un mismo punto, satisfaciendo sus estómagos con más de una fiambrera que los señores clérigos del difunto (que pocas veces se dejan mal pasar) en la acémila de su repuesto traían; mas sucedióle otra desgracia, que Sancho tuvo por la peor de todas, y fue que no tenían vino que beber, ni agua que llegar a la boca y acosados de la sed dijo Sancho, viendo que el prado donde estaban estaba colmado de verde y menuda yerba, lo que se dirá en el siguiente capítulo.
+Capítulo 20: De la jamás vista ni oída aventura que con más poco peligro fue acabada de famoso caballero en el mundo, como la acabó el valeroso D. Quijote de la Mancha
+No es posible, señor mío, sino que estas yerbas dan testimonio de que por aquí cerca debe de estar alguna fuente o arroyo que humedece, y así será bien que vayamos un poco más adelante, que ya toparemos donde podamos mitigar esta terrible sed que nos fatiga, que sin duda causa mayor pena que la hambre. Parecióle bien el consejo a Don Quijote, y tomando de la rienda a Rocinante, y Sancho del cabestro a su asno después de haber puesto sobre él los relieves que de la cena quedaron, comenzaron a caminar sobre el prado arriba a tiento, porque la oscuridad de la noche no les dejaba ver cosa alguna; mas no hubieron andado doscientos pasos, cuando llegó a sus oídos un gran ruido de agua, como que de algunos grandes y levantados riscos se despeñaba. Alegróles el ruido en gran manera, y parándose a escuchar hacia que parte sonaba, oyeron a deshora otro estruendo que les aguó el contento del agua, especialmente a Sancho que naturalmente era medroso y de poco ánimo: digo que oyeron que daban unos golpes a compás, con un cierto crujir de hierros y cadenas, que acompañados del furioso estruendo del agua, pusieron pavor a cualquier otro corazón que no fuera el de Don Quijote.
+Era la noche, como se ha dicho, oscura, y ellos acertaron a estar entre unos árboles altos, cuyas hojas, movidas del blando viento, hacían un temeroso y manso ruido; de manera que la soledad, el sitio, la oscuridad, el ruido de la agua con susurro de las hojas, todo causaba horror y espanto, y más cuando vieron que ni los golpes cesaban, ni el viento dormía, ni la mañana llegaba, añadiéndose a todo esto el ignorar el lugar donde se hallaban; pero Don Quijote, acompañado de su intrépido corazón, saltó sobre Rocinante, y embrazando su rodela, terció su lanzón y dijo: Sancho amigo, has de saber que yo nací, por querer del cielo, en nuestra edad de hierro, para resucitar en ella la de oro o la dorada, como suele llamarse; yo soy aquel para quien están guardados los peligros, las grandes hazañas, los valerosos hechos; yo soy, digo otra vez, quien ha de resucitar los de la Tabla Redonda, los doce de Francia y los nueve de la Fama, y el que ha de poner en olvido los Platires, los Tablantes, los Olivante y Tirantes, Febos y Belianises, con toda la caterva de los famosos caballeros andantes del pasado tiempo, haciendo en este en que me hallo tales grandezas, estrañezas y fechos de armas, que escurezcan las más claras que ellos ficieron. Bien notas, escudero fiel y leal, las tinieblas desta noche, su extraño silencio, el sordo y confuso estruendo destos árboles, el temeroso ruido de aquella agua en cuya busca venimos, que parece que se despeña y derrumba desde los altos montes de la luna, y aquel incesante golpear que nos hiere y lastima los oídos; las cuales cosas todas juntas, y cada una por sí, son bastantes a infundir miedo, temor y espanto en el pecho del mismo Marte, cuanto más en aquel que no está acostumbrado a semejantes acontecimientos y aventuras; pues todo esto que yo te pinto son incentivos y despertadores de mi ánimo, que ya hace que el corazón me reviente en el pecho con el deseo que tiene de acometer esta aventura, por más dificultosa que se muestra; así que aprieta un poco las cinchas a Rocinante y quédate a Dios, y espérame aquí hasta tres días no más, en los cuales, si no volviere, puedes tú volverte a nuestra aldea, y desde allí por hacerme merced y buena obra, irás al Toboso, donde dirás a la incomparable señora mía Dulcinea, que su cautivo caballero murió por acometer cosas que le hiciesen digno de poder llamarse suyo.
+Cuando Sancho oyó las palabras de su amo, comenzó a llorar con la mayor ternura del mundo, y a decirle: Señor, yo no sé porque quiere vuestra merced acometer esta tan tenebrosa aventura; ahora es de noche, aquí no nos ve nadie, bien podemos torcer el camino y desviarnos del peligro, aunque no bebamos en tres días; y pues no hay quien nos vea, menos habrá quien nos note de cobardes: cuanto más que yo he oído muchas veces predicar al cura de nuestro lugar, que vuestra merced muy bien conoce, que quien busca el peligro perece en él: así que no es bien tentar a Dios acometiendo tan desaforado hecho, donde no se puede escapar sino por milagro; y basta lo que ha hecho el cielo con vuestra merced en librarle de ser manteado como yo lo fui, y en sacarle vencedor, libre y salvo entre tantos enemigos como acompañaban al difunto; y cuando todo esto no mueva ni ablande ese duro corazón, muévale el pensar que apenas se habrá vuestra merced apartado de aquí, cuando yo de miedo dé mi ánima a quien quisiera llevarla. Yo salí de mi tierra, y dejé hijos y mujer por venir a servir a vuestra merced, creyendo valer más, y no menos; pero como la codicia rompe el saco, a mí me ha rasgado mis esperanzas, pues cuando más vivas las tenía de alcanzar aquella negra y malhadada ínsula que tantas veces vuestra merced me ha prometido, veo que en pago y trueco della me quiere ahora dejar en un lugar tan apartado del trato humano: por un solo Dios, señor mío, que non se me faga tal desaguisado; y ya que del todo no quiera vuestra merced desistir de acometer este fecho, dilátelo a lo menos hasta la mañana, que a lo que a mí me muestra la ciencia que aprendí cuando era pastor, no debe de haber desde aquí al alba tres horas, porque la boca de la bocina está encima de la cabeza, y hace la medianoche en la línea del brazo izquierdo.
+¿Cómo puedes tú, Sancho, dijo Don Quijote, ver donde hace esa línea, ni dónde está esa boca o ese colodrillo que dices, si hace la noche tan oscura que no parece en todo el cielo estrella alguna? Así es, dijo Sancho; pero tiene el miedo muchos ojos, y ve las cosas debajo de tierra, cuanto más encima en el cielo, puesto que por buen discurso, bien se puede entender que hay poco de aquí al día. Falte lo que faltare, respondió Don Quijote, que no se ha de decir por mí ahora, ni en ningún tiempo, que lágrimas y ruegos me apartaron de hacer lo que debía a estilo de caballero; y así te ruego, Sancho, que calles, que DIos que me ha puesto en corazón de acometer ahora esta tan no vista y tan hermosa aventura, tendrá cuidado de mirar por mi salud, y de consolar tu tristeza; lo que has de hacer es apretar bien las cinchas a Rocinante y quedarte aquí, que yo daré la vuelta presto, o vivo o muerto.
+Viendo, pues, Sancho, la última resolución de su amo, y cuán poco valían con él sus lágrimas, consejos y ruegos, determinó de aprovecharse de su industria, y hacerle esperar hasta el día si pudiese; y así, cuando apretaba las cinchas al caballo, bonitamente y sin ser sentido, ató con el cabestro de su asno ambos piés a Rocinante, de manera que cuando Don Quijote se quiso partir no pudo, porque el caballo no se podía mover sino a saltos. Viendo Sancho Panza el buen suceso de su embuste, dijo: Ea, señor, que el cielo conmovido de mis lágrimas y plegarias ha ordenado que no se pueda mover Rocinante; y si vos quereis porfiar y espolear y dale, será enojar a la fortuna y dar coces, como dicen, contra el aguijón. Desesperábase con esto DOn Quijote, y por más que ponía las piernas al caballo, no le podía mover; y sin caer en la cuenta de la ligadura, tuvo por bien de sosegarse, y esperar a que amaneciese, o a que Rocinante se menease, creyendo sin duda que aquello venía de otra parte que de la industria de Sancho, y así le dijo: Pues así es, Sancho, que Rocinante no puede moverse, yo soy contento de esperar a que ría el alba, aunque yo llore lo que ella tardare en venir. No hay que llorar, respondió Sancho, que yo entretendré a vuestra merced contando cuentos desde aquí al día, si ya no es que se quiere apear, y echarse a dormir un poco sobre la verde yerba, a uso de caballeros andantes, para hallarse más descansado
+cuando llegue el día a punto de acometer esta tan desemejable aventura que le espera.
+¿A qué llamas apear, o a qué dormir? dijo Don Quijote. ¿Soy yo por ventura de aquellos caballeros que toman reposo en los peligros? Duerme tú que naciste para dormir, o haz lo que quisieres, que yo haré lo que viere que más viene con mi pretensión. No se enoje vuestra merced, señor mío, respondió Sancho, que no lo dije por tanto. Y llegándose a él, puso la una mano en el arzón delantero y la otra en el otro, de modo que quedó abrazado con el muslo izquierdo de su amo, sin osarse apartar dél un dedo; tal era el miedo que tenía a los golpes, que todavía alternativamente sonaban. Díjole Don Quijote qu contase algún cuento para entretenerle, como se lo había prometido, a lo que Sancho dijo que sí hiciera si le dejara el temor de lo que oía: Pero con todo eso yo me esforzaré a decir una historia, que si la acierto a contar y no me van a la mano, es la mejor de las historias, y estéme vuestra merced atento, que ya comienzo.
+Erase que se era, el bien que viniera para todos sea, y el mal para quien lo fuere a buscar; y advierta vuestra merced, señor mío, que el principio que los antiguos dieron a sus consejas no fue así como quiera, que fue una sentencia de Caton Zonzorino romano, que dice: "y el mal para quien lo fuere a buscar", que viene aquí como anillo al dedo, para que vuestra merced se esté quedo, y no vaya a buscar el mal a ninguna parte, sino que nos volvamos por otro camino, pues nadie nos fuerza a que sigamos este donde tantos miedos nos sobresaltan. Sigue tu cuento, Sancho, dijo Don Quijote, y del camino que hemos de seguir déjame a mí el cuidado.
+Digo, pues, prosiguió Sancho, que en un lugar de Extremadura había un pastor cabrerizo, quiero decir, que guardaba cabras, el cual pastor o cabrerizo, como digo de mi cuento, se llamaba Lope Ruiz, y este Lope Ruiz andaba enamorado de una pastora que se llamaba Torralva, la cual pastora llamda Torralva era hija de un ganadero rico, y este ganadero rico... Si desa manera cuentas tu cuento, Sancho, dijo Don Quijote, repitiendo dos veces lo que vas diciendo, no acabarás en dos días; dílo seguidamente y cuéntalo como hombre de entendimiento, y si no, no digas nada. De la misma manera que yo lo cuento, respondió Sancho, se cuentan en mi tierra todas las consejas, y yo no sé contarlo de otra, ni es bien que vuestra merced me pida que haga usos nuevos. Di como quisieres, respondió Don Quijote, que pues la suerte quiere que no pueda dejar de escucharte, prosigue.
+Así que, señor mío de mi ánima, prosiguió Sancho, que como ya tengo dicho, este pastor andaba enamorado de Torralva la pastora, que era una moza rolliza, zahareña, y tiraba algo a hombruna, porque tenía unos pocos bigotes, que parece que ahora la veo. ¿Luego conocístela tú? dijo Don Quijote. No la conocí yo, respondió Sancho, pero quien me contó este cuento me dijo que era tan cierto y verdadero, que podía bien cuando lo contase a otro afirmar y jurar que lo había visto todo: así que yendo días y viniendo días, el diablo, que no duerme y que todo lo añasca, hizo de manera que el amor que el pastor tenía a la pastora se volviese en homecillo y mala voluntad; y la causa fue, según malas lenguas, una cierta cantidad de celillos que ella le dió, tales que pasaban de la raya y llegaban a lo vedado; y fue tanto lo que el pastor la aborreció de allí adelante, que por no verla se quiso ausentar de aquella tierra, e irse donde sus ojos no la viesen jamás. La Torralva que se vio desdeñada del Lope, luego le quiso bien, más que nunca le había querido. Esa es natural condición de mujeres, dijo Don Quijote, desdeñar a quien las quiere, y amar a quien las aborrece: pasa adelante, Sancho.
+Sucedió, dijo Sancho, que le pastor puso por obra su determinación, y antecogiendo sus cabras, se encaminó por los campos de Extremadura para pasarse a los reinos de Portugal: la Torralva, que lo supo, fue tras él, y seguíale a
+pie y descalza desde lejos con un bordón en la mano y con unas alforjas al cuello, donde llevaba, según es fama, un pedazo de espejo y otro de un peine, y no sé qué botecillo de mudas para la cara; mas llevase lo que llevase, que yo no me quiero meter ahora en averiguallo, sólo diré que dicen que el pastor llegó con su ganado a pasar el río Guadiana, y en aquella sazón iba crecido y casi fuera de madre, y por la parte que llegó no había barca ni barco, ni quien le pasase a él ni a su ganado de la otra parte, de lo que se congojó mucho, porque veía que la Torralva venía ya muy cerca, y le había de dar mucha pesadumbre con sus ruegos y lágrimas, mas tanto anduvo mirando, que vio un pescador que tenía junto a sí un barco tan pequeño, que solamente podían caber en él una persona y una cabra, y con todo esto le habló y concertó con él que le pasase a él y a trescientas cabras que llevaba. Entró el pescador en el barco y pasó una cabra, volvió y pasó otra, tornó a volver y tornó a pasar otra: tenga vuestra merced cuenta con las cabras que el pescador va pasando, porque si se pierde una de la memoria se acabará el cuento, y no será posible contar más palabra dél: sigo, pues, y digo, que el desembarcadero de la otra parte estaba lleno de cieno y resbaloso, y tardaba el pescador mucho tiempo en ir y volver: con todo esto volvió por otra cabra, y otra y otra.
+Haz cuenta que las pasó todas, dijo Don Quijote; no andes yendo y viniendo desa manera, que no acabarás de pasarlas en un año. ¿Cuántas han pasado hasta ahora? dijo Sancho. ¿Yo qué diablos sé? respondió Don Quijote. He ahí lo que yo dije que tuviese buena cuenta; pues por Dios que se ha acabado el cuento, que no hay pasar adelante. ¿Cómo puede ser eso? respondió Don Quijote. ¿Tan de esencia de la historia es saber las cabras que han pasado por extenso, que si se yerra una del número no puedes seguir adelante con la historia? No, señor, en ninguna manera, respondió Sancho, porque así como yo pregunté a vuestra merced que me dijese cuántas cabras habían pasado, y me respondió que no sabía, en aquel mismo instante se me fue a mí de la memoria cuanto me quedaba por decir, y a fe que era de mucha virtud y contento. ¿De modo, dijo Don Quijote, que ya la historia es acabada? Tan acabada es como mi madre, dijo Sancho.
+Dígote de verdad, respondió Don Quijote, que tú has contado una de las más nuevas consejas, cuento o historia que nadie pudo pensar en el mundo, y que tal modo de contarla, ni dejarla, jamás se podrá ver ni habrá visto en toda la vida, aunque no esperaba yo otra cosa de tu buen discurso; mas no me maravillo, pues quizá estos golpes, que no cesan, te deben tener turbado el entendimiento. Todo puede ser, respondió Sancho; mas yo sé que en lo de mi cuento no hay más que decir, que allí se acaba do comienza el yerro de la cuenta del pasaje de las cabras. Acabe norabuena donde quisiere, dijo Don Quijote, y veamos si se puede mover Rocinante.
+Tornóle a mover las piernas, y él tornó a dar saltos y a estarse quedo: tanto estaba de bien atado. En esto parece ser, o que el frío de la mañana que ya venía, o que Sancho hubiese cenado algunas cosas lenitivas, o que fuese una cosa natural (que es lo que más se debe creer) a él le vino en voluntad y deseo de hacer lo que otro no podía hacer por él; mas era tanto el miedo que había entrado en su corazón, que no osaba apartarse un negro de uña de su amo; pues pensar de no hacer lo que tenía gana, tampoco era posible, y así lo que hizo por bien de paz fue soltar la mano derecha, que tenía asida al arzón trasero, con lo cual bonitamente y sin rumor alguno se soltó la lazada corrediza con que los calzones se sostenían sin ayuda de otra alguna, y en quitándosela dieron luego abajo, y se le quedaron como grillos. Tras esto alzó la camisa lo mejor que pudo, y echó al aire entrambas posaderas, que no eran muy pequeñas. Hecho esto (que él pensó que era lo más que tenía que hacer para salir de aquel terible aprieto y angustia) le sobrevino otra mayor, que fue que le pareció, que no podía mudarse sin hacer estrépito y ruido, y comenzó a apretar los dientes y a encoger los hombros, recogiendo en sí el aliento todo cuanto podía; pero con todas estas diligencias fué tan desdichado, que al cabo
+vino a hacer un poco de ruido, bien diferente de aquel que a él le ponía tanto miedo. Oyólo Don Quijote, y dijo: ¿Qué rumor es ése, Sancho? No sé, señor, respondió él. Alguna cosa nueva debe ser, que las aventuras y desventuras nunca comienzan por poco.
+Tornó otra vez a probar ventura, y sucedióle tan bien, que sin más ruido y alboroto que el pasado, se halló libre de la carga que tanta pesadumbre le había dado; mas como Don Quijote tenía el sentido del olfato tan vivo como el de los oídos, y Sancho estaba tan junto y cosido con él, que casi por línea recta subían los vapores hacia arriba, no se pudo excusar de que algunos no se llegasen a sus narices, y apenas hubieron llegado, cuando él fue al socorro apretándolas entre los dos dedos, y con tono algo gangoso, dijo: Paréceme, Sancho, que tienes mucho miedo. Sí tengo, respondió Sancho: ¿mas en que lo echa de ver vuestra merced ahora más que nunca? En que ahora más que nunca hueles, y no a ámbar, respondió Don Quijote.
+Bien podrá ser, dijo Sancho; mas yo no tengo la culpa, sino vuestra merced, que me trae a deshoras y por estos no acostumbrados pasos. Retírate tres o cuatro allá, amigo, dijo Don Quijote,todo esto sin quitarse los dedos de las narices; y desde aquí adelante ten más en cuenta con tu persona, y con lo que debes a la mía, que la mucha conversación que tengo contigo ha engendrado este menosprecio. Apostaré, replicó Sancho, que piensa vuestra merced que yo he hecho de mi persona alguna cosa que no deba. Peor es meneallo, amigo Sancho, respondió Don Quijote.
+En estos coloquios y otros semejantes pasaron la noche amo y mozo; mas viendo Sancho que a más andar se venía la mañana, con mucho tiento desligó a Rocinante y se ató los calzones.
+Como Rocinante se vió libre, aunque él de suyo no era nada brioso, parece que se resintió y comenzó a dar manotadas, porque corbetas, con perdón suyo, no las sabía hacer. Viendo, pues, Don Quijote que ya Rocinante se movía, lo tuvo a buena señal, y creyó que lo era de que acometiese aquella temerosa aventura. Acabó en esto de descubrirse el alba, y de parecer distintamente las cosas, y vio Don Quijote que estaba entre unos árboles altos, que eran castaños, que hacen la sombra muy oscura, sintió también que el golpear no cesaba, pero no vio quién lo podía causar, y así, sin más detenerse, hizo sentir las espuelas a Rocinante, y tornando a despedirse de Sancho, le mandó que allí le aguardase tres días a lo más largo, como ya otra vez se lo había dicho, y que si al cabo dellos no hubiese vuelto, tuviese por cierto que Dios había sido servido de que en aquella peligrosa aventura se le acabasen sus días.
+Tornóle a referir el recado y embajada que había de llevar de su parte a su señora Dulcinea, y que en lo que tocaba a la paga de sus servicios no tuviese pena, porque él había dejado hecho su testamento antes de que saliera de su lugar, donde se hallaría gratificado de todo lo tocante a su salario, rata por cantidad del tiempo que hubiese servido; pero que si DIos le sacaba de aquel peligro sano y salvo y sin cautela, se podía tener por muy más que cierta la prometida ínsula.
+De nuevo tornó a llorar Sancho, oyendo de nuevo las lastimeras razones de su buen señor, y determinó de no dejarle hasta el último trance y fin de aquel negocio.
+Destas lágrimas y determinación tan honrada de Sancho Panza saca el autor desta historia que debía de ser bien nacido, y por lo menos cristiano viejo: cuyo sentimiento enterneció algo a su amo, pero no tanto que mostrase flaqueza alguna, antes, disimulando lo mejor que pudo, comenzó a caminar hacia la parte por donde le pareció que el ruido del agua y del golpear venía.
+Seguíale Sancho a pie, llevando, como tenía de costumbre, del cabestro a su jumento, perpetuo compañero de sus prósperas y adversas fortunas; y habiendo andado una buena pieza por entre aquellos castaños y árboles sombríos, dieron en un pradillo que al pie de unas altas peñas se hacía, de las cuales se precipitaba un grandísimo golpe de agua.
+Al pie de las peñas estaban unas casas mal hechas, que más parecían ruinas de edificios que casas, de entre las cuales advirtieron que salía el ruido y estruendo de aquel golpear, que aún no cesaba.
+Alborotóse Rocinante con el estruendo del agua y de los golpes, y sosegándole Don Quijote, se fue llegándole poco a poco a las casas; encomendóse de todo corazón a su señora, suplicándole que en aquella temerosa jornada y empresa le favoreciese, y de camino se encomendaba también a Dios que no le olvidase. No se le quitaba Sancho del lado, el cual alargaba cuanto podía el cuello y la vista por entre las piernas de Rocinante, por ver si vería ya lo que tan suspenso y medroso le tenía.
+Otros cien pasos serían los que anduvieron, cuando al doblar de una punta pareció descubierta y patente la misma causa, sin que pudiese ser otra, de aquel horrísono y para ellos espantable ruido, que tan suspensos y medrosos toda la noche les había tenido; y eran (si no lo has, ¡oh lector! por pesadumbre y enojo) seis mazos de batán que con sus alternativos golpes aquel estruendo formaban.
+Cuando Don Quijote vió lo que era, enmudeció y pasmóse de arriba abajo. Miróle Sancho, y vió que tenía la cabeza inclinada sobre el pecho con muestras de estar corrido.
+Miró también Don Quijote a Sancho, y vióle que tenía los carrillos hinchados, y la boca llena de risa, con evidentes señales de querer reventar con ella, y no pudo su melancolía tanto con él, que a la vista de Sancho pudiese dejar de reirse, y como vió Sancho que su amo había comenzado, soltó la presa de manera que tuvo necesidad de apretarse las hijadas con los puños por no reventar riendo. Cuatro veces sosegó, y otras tantas volvió a su risa con el mismo ímpetu que primero, de lo cual ya se daba al diablo Don Quijote, y más cuando le oyó decir como por modo de fisga: Has de saber, ¡oh Sancho amigo! que yo no nací por querer del cielo en esta nuestra edad del hierro para resucitar en ella la dorada o de oro; yo soy aquel para quien están guardados los peligros, las hazañas grandes, los valerosos fechos. Y por aquí fue repitiendo todas o las más razones que Don Quijote dijo la vez primera que oyeron los temerosos golpes.
+Viendo, pues, Don Quijote que Sancho hacía burla dél, se corrió y enojo en tanta manera, que alzó el lanzón y le asentó dos palos, tales que si como los recibió en las espaldas los recibiera en la cabeza, quedara libre de pagarle el salario, si no fuera a sus herederos.
+Viendo Sancho que sacaba tan malas veras de sus burlas, con temor de que su amo no pasase adelante en ellas, con mucha humildad le dijo: Sosiéguese vuestra merced, que por Dios que me burlo. Pues ¿por qué os burlais?No me burlo yo, respondió Don Quijote. Venid acá señor alegre: ¿paréceos a vos que como si estos fueron mazos de batán fueran otra peligrosa aventura, no había yo mostrado el ánimo que convenía para emprendella y acaballa? ¿Estoy yo obligado a dicha, siendo como soy caballero, a conocer y distinguir los sones, y saber cuales son los de los batanes o no? Y más que podría ser, como es verdad, que no los he visto en mi vida, como vos los habréis visto, como villano ruin que sois, criado y nacido entre ellos; si no, haced vos que estos seis mazos se vuelvan en seis jayanes, y
+echádmelos a las barbas uno a uno, o todos juntos, y cuando yo no diere con todos patas arriba, haced de mí la burla que quisiéredes.
+No haya más, señor mío, replicó Sancho, que yo confieso que he andado algo risueño en demasía; pero dígame vuestra merced, ahora que estamos en paz, así Dios le saque de todas las aventuras que le sucedieren tan sano y salvo como le ha sacado desta: ¿no ha sido cosa de reír, y lo es de contar, el gran miedo que hemos tenido? A lo menos el que yo tuve, que de vuestra merced ya yo sé que no lo conoce, ni sabe que es temor ni espanto.
+No niego yo, respondió Don Quijote, que lo que nos ha sucedido no sea cosa digna de risa; pero no es digna de contarse, que no son todas las personas tan discretas que sepan poner en su punto las cosas.
+A lo menos, respondió Sancho, supo vuestra merced poner en su punto el lanzón, apuntándome a la cabeza y dándome en las espaldas: gracias a Dios y a la diligencia que puse en ladearme; pero vaya que todo saldrá en la colada, que yo he oído decir: ese te quiere bien, que te hace llorar; y más, que suelen los principales señores tras una mala palabra que dicen a un criado darle luego las calzas, aunque no sé lo que suelen dar tras haberle dado de palos, si ya no es que los caballeros andantes dan tras palos ínsulas o reinos en tierra firme.
+Tal podría correr el dado, dijo Don Quijote, que todo lo que dices viniese a ser verdad, y perdona lo pasado, pues eres discreto y sabes que los primeros movimientos no son en manos del hombre, y está advertido de aquí en adelante en una cosa, para que te abstengas y reportes en el hablar demasiado conmigo, que en cuantos libros de caballerías he leído, que son infinitos, jamás he hallado que ningún escudero hablase tanto con su señor como tú con el tuyo, y en verdad que lo tengo a gran falta tuya y mía: tuya, en que me estimas en poco; mía, en que no me dejo estimar en más: sí que Galadin, escudero de Amadís de Gaula, conde, fue de la Insula firme, y se le dél que siempre hablaba a su señor con la gorra en la mano, inclinada la cabeza y doblado el cuerpo more turquesco. Pues ¿qué diremos de Gasabal, escudero de don Galaor, que fue tan callado, que para declararnos la excelencia de su maravilloso silencio, sólo una vez se nombra su nombre en toda aquella tan grande como maravillosa historia? De todo lo que he dicho has de inferir, Sancho, que es menester hacer diferencia de amo a mozo, de señor a criado, y de caballero a escudero; así que desde hoy en adelante nos hemos de tratar con más respeto, sin darnos cordelejo, porque de cualquiera manera que yo me enoje con vos ha de ser mal para el cántaro. Las mercedes y beneficios que yo os he prometido llegarán a su tiempo, y si no llegaren, el salario a lo menos no se ha de perder, como ya os he dicho. Esta bien cuanto vuestra merced dice, dijo Sancho; pero yo querría saber (por si acaso no llegase el tiempo de las mercedes, y fuese necesario acudir al de los salarios) cuánto ganaba un escudero de un caballero andante en aquellos tiempos, y si se concertaba por meses o por días, como peones de albañil.
+No creo yo, respondió Don Quijote, que jamás los tales escuderos estuvieron a salario, sino a merced; y si yo ahora te le he señalado a ti en el testamento cerrado que dejé en mi casa, fue por lo que podía suceder, que aún no sé cómo prueba en estos tan calamitosos tiempos nuestros de la caballería, y no querría que por pocas cosas penase mi ánima en el otro mundo; porque quiero que sepas, Sancho, que en él no hay estado más peligroso que el de los aventureros. Así es verdad, dijo Sancho, pues sólo el ruido de los mazos de un batán pudo alborotar y desasosegar el corazón de un tan valeroso andante aventurero como es vuestra merced; mas bien puede estar seguro que de aquí adelante no despliegue mis labios para hacer
+donaire de las cosas de vuestra merced, si no fuere para honrarle como a mi amo y señor natural.
+Desa manera, replicó Don Quijote, vivirás sobre la haz de la tierra, porque después de a los padres, a los amos se ha de respetar como si lo fuesen.
+Capítulo 21: Que trata de la alta aventura y rica ganancia del yelmo de Mambrino, con otras cosas sucedidas a nuestro invencible caballero
+En esto, comenzó a llover un poco, y quisiera Sancho que se entraran en el molino de los batanes; mas habíales cobrado tal aborrecimiento don Quijote, por la pesada burla, que en ninguna manera quiso entrar dentro; y así, torciendo el camino a la derecha mano, dieron en otro como el que habían llevado el día de antes.
+De allí a poco, descubrió don Quijote un hombre a caballo, que traía en la cabeza una cosa que relumbraba como si fuera de oro, y aún él apenas le hubo visto, cuando se volvió a Sancho y le dijo:
+–Paréceme, Sancho, que no hay refrán que no sea verdadero, porque todos son sentencias sacadas de la mesma experiencia, madre de las ciencias todas, especialmente aquel que dice: "Donde una puerta se cierra, otra se abre". Dígolo porque si anoche nos cerró la ventura la puerta de la que buscábamos, engañándonos con los batanes, ahora nos abre de par en par otra, para otra mejor y más cierta aventura; que si yo no acertare a entrar por ella, mía será la culpa, sin que la pueda dar a la poca noticia de batanes ni a la escuridad de la noche. Digo esto porque, si no me engaño, hacia nosotros viene uno que trae en su cabeza puesto el yelmo de Mambrino, sobre que yo hice el juramento que sabes.
+–Mire vuestra merced bien lo que dice, y mejor lo que hace –dijo Sancho–, que no querría que fuesen otros batanes que nos acabasen de abatanar y aporrear el sentido.
+–¡Válate el diablo por hombre! –replicó don Quijote–. ¿Qué va de yelmo a batanes?
+–No sé nada –respondió Sancho–; mas, a fe que si yo pudiera hablar tanto como solía, que quizá diera tales razones que vuestra merced viera que se engañaba en lo que dice.
+–¿Cómo me puedo engañar en lo que digo, traidor escrupuloso? –dijo don Quijote–. Dime, ¿no ves aquel caballero que hacia nosotros viene, sobre un caballo rucio rodado, que trae puesto en la cabeza un yelmo de oro?
+–Lo que yo veo y columbro –respondió Sancho– no es sino un hombre sobre un asno pardo, como el mío, que trae sobre la cabeza una cosa que relumbra.
+–Pues ése es el yelmo de Mambrino –dijo don Quijote–. Apártate a una parte y déjame con él a solas: verás cuán sin hablar palabra, por ahorrar del tiempo, concluyo esta aventura y queda por mío el yelmo que tanto he deseado.
+–Yo me tengo en cuidado el apartarme –replicó Sancho–, mas quiera Dios, torno a decir, que orégano sea, y no batanes.
+–Ya os he dicho, hermano, que no me mentéis, ni por pienso, más eso de los batanes –dijo don Quijote–; que voto..., y no digo más, que os batanee el alma.
+Calló Sancho, con temor que su amo no cumpliese el voto que le había echado, redondo como una bola.
+Es, pues, el caso que el yelmo, y el caballo y caballero que don Quijote veía, era esto: que en aquel contorno había dos lugares, el uno tan pequeño que ni tenía botica ni barbero, y el otro, que estaba junto a [él], sí; y así, el barbero del mayor servía al menor, en el cual tuvo necesidad un enfermo de sangrarse y otro de hacerse la barba, para lo cual venía el barbero, y traía una bacía de azófar; y quiso la suerte que, al tiempo que venía, comenzó a llover, y, porque no se le manchase el sombrero, que debía de ser nuevo, se puso la bacía sobre la cabeza; y, como estaba limpia, desde media legua relumbraba. Venía sobre un asno pardo, como Sancho dijo, y ésta fue la ocasión que a don Quijote le pareció caballo rucio rodado, y caballero, y yelmo de oro; que todas las cosas que veía, con mucha facilidad las acomodaba a sus desvariadas caballerías y malandantes pensamientos. Y cuando él vio que el pobre caballero llegaba cerca, sin ponerse con él en razones, a todo correr de Rocinante le enristró con el lanzón bajo, llevando intención de pasarle de parte a parte; mas cuando a él llegaba, sin detener la furia de su carrera, le dijo:
+–¡Defiéndete, cautiva criatura, o entriégame de tu voluntad lo que con tanta razón se me debe!
+El barbero, que, tan sin pensarlo ni temerlo, vio venir aquella fantasma sobre sí, no tuvo otro remedio, para poder guardarse del golpe de la lanza, si no fue el dejarse caer del asno abajo; y no hubo tocado al suelo, cuando se levantó más ligero que un gamo y comenzó a correr por aquel llano, que no le alcanzara el viento. Dejóse la bacía en el suelo, con la cual se contentó don Quijote, y dijo que el pagano había andado discreto y que había imitado al castor, el cual, viéndose acosado de los cazadores, se taraza y arpa con los dientes aquéllo por lo que él, por distinto natural, sabe que es perseguido. Mandó a Sancho que alzase el yelmo, el cual, tomándola en las manos, dijo:
+–Por Dios, que la bacía es buena y que vale un real de a ocho como un maravedí.
+Y, dándosela a su amo, se la puso luego en la cabeza, rodeándola a una parte y a otra, buscándole el encaje; y, como no se le hallaba, dijo:
+–Sin duda que el pagano, a cuya medida se forjó primero esta famosa celada, debía de tener grandísima cabeza, y lo peor dello es que le falta la mitad.
+Cuando Sancho oyó llamar a la bacía celada, no pudo tener la risa; mas vínosele a las mientes la cólera de su amo, y calló en la mitad della.
+–¿De qué te ríes, Sancho? –dijo don Quijote.
+–Ríome –respondió él– de considerar la gran cabeza que tenía el pagano dueño deste almete, que no semeja si[no] una bacía de barbero pintiparada.
+–¿Sabes qué imagino, Sancho? Que esta famosa pieza deste encantado yelmo, por algún estraño acidente, debió de venir a manos de quien no supo conocer ni estimar su valor, y, sin saber lo que hacía, viéndola de oro purísimo, debió de fundir la otra mitad para aprovecharse del precio, y de la otra mitad hizo ésta, que parece bacía de barbero, como tú dices. Pero, sea lo que fuere; que para mí que la
+conozco no hace al caso su trasmutación; que yo la aderezaré en el primer lugar donde haya herrero, y de suerte que no le haga ventaja, ni aun le llegue, la que hizo y forjó el dios de las herrerías para el dios de las batallas; y, en este entretanto, la traeré como pudiere, que más vale algo que no nada; cuanto más, que bien será bastante para defenderme de alguna pedrada.
+–Eso será –dijo Sancho– si no se tira con honda, como se tiraron en la pelea de los dos ejércitos, cuando le santiguaron a vuestra merced las muelas y le rompieron el alcuza donde venía aquel benditísimo brebaje que me hizo vomitar las asaduras.along
+–No me da mucha pena el haberle perdido, que ya sabes tú, Sancho –dijo don Quijote–, que yo tengo la receta en la memoria.
+–También la tengo yo –respondió Sancho–, pero si yo le hiciere ni le probare más en mi vida, aquí sea mi hora. Cuanto más, que no pienso ponerme en ocasión de haberle menester, porque pienso guardarme con todos mis cinco sentidos de ser ferido ni de ferir a nadie. De lo del ser otra vez manteado, no digo nada, que semejantes desgracias mal se pueden prevenir, y si vienen, no hay que hacer otra cosa sino encoger los hombros, detener el aliento, cerrar los ojos y dejarse ir por donde la suerte y la manta nos llevare.
+–Mal cristiano eres, Sancho –dijo, oyendo esto, don Quijote–, porque nunca olvidas la injuria que una vez te han hecho; pues sábete que es de pechos nobles y generosos no hacer caso de niñerías. ¿Qué pie sacaste cojo, qué costilla quebrada, qué cabeza rota, para que no se te olvide aquella burla? Que, bien apurada la cosa, burla fue y pasatiempo; que, a no entenderlo yo ansí, ya yo hubiera vuelto allá y hubiera hecho en tu venganza más daño que el que hicieron los griegos por la robada Elena. La cual, si fuera en este tiempo, o mi Dulcinea fuera en aquél, pudiera estar segura que no tuviera tanta fama de hermosa como tiene.
+Y aquí dio un sospiro, y le puso en las nubes. Y dijo Sancho:
+–[Pase] por burlas, pues la venganza no puede pasar en veras; pero yo sé de qué calidad fueron las veras y las burlas, y sé también que no se me caerán de la memoria, como nunca se quitarán de las espaldas. Pero, dejando esto aparte, dígame vuestra merced qué haremos deste caballo rucio rodado, que parece asno pardo, que dejó aquí desamparado aquel Martino que vuestra merced derribó; que, según él puso los pies en polvorosa y cogió las de Villadiego, no lleva pergenio de volver por él jamás; y ¡para mis barbas, si no es bueno el rucio!
+–Nunca yo acostumbro –dijo don Quijote– despojar a los que venzo, ni es uso de caballería quitarles los caballos y dejarlos a pie, si ya no fuese que el vencedor hubiese perdido en la pendencia el suyo; que, en tal caso, lícito es tomar el del vencido, como ganado en guerra lícita. Así que, Sancho, deja ese caballo, o asno, o lo que tú quisieres que sea, que, como su dueño nos vea alongados de aquí, volverá por él.
+–Dios sabe si quisiera llevarle –replicó Sancho–, o, por lo menos, trocalle con este mío, que no me parece tan bueno. Verdaderamente que son estrechas las leyes de caballería, pues no se estienden a dejar trocar un asno por otro; y querría saber si podría trocar los aparejos siquiera.
+–En eso no estoy muy cierto –respondió don Quijote–; y, en caso de duda, hasta estar mejor informado, digo que los trueques, si es que tienes dellos necesidad estrema.
+–Tan estrema es –respondió Sancho– que si fueran para mi misma persona, no los hubiera menester más.
+Y luego, habilitado con aquella licencia, hizo mutatio caparum y puso su jumento a las mil lindezas, dejándole mejorado en tercio y quinto.
+Hecho esto, almorzaron de las sobras del real que del acémila despojaron, bebieron del agua del arroyo de los batanes, sin volver la cara a mirallos: tal era el aborrecimiento que les tenían por el miedo en que les habían puesto.
+Cortada, pues, la cólera, y aun la malenconía, subieron a caballo, y, sin tomar determinado camino, por ser muy de caballeros andantes el no tomar ninguno cierto, se pusieron a caminar por donde la voluntad de Rocinante quiso, que se llevaba tras sí la de su amo, y aun la del asno, que siempre le seguía por dondequiera que guiaba, en buen amor y compañía. Con todo esto, volvieron al camino real y siguieron por él a la ventura, sin otro disignio alguno.
+Yendo, pues, así caminando, dijo Sancho a su amo:
+–Señor, ¿quiere vuestra merced darme licencia que departa un poco con él? Que, después que me puso aquel áspero mandamiento del silencio, se me han podrido más de cuatro cosas en el estómago, y una sola que ahora tengo en el pico de la lengua no querría que se mal lograse.
+–Dila –dijo don Quijote–, y sé breve en tus razonamientos, que ninguno hay gustoso si es largo.
+–Digo, pues, señor –respondió Sancho–, que, de algunos días a esta parte, he considerado cuán poco se gana y granjea de andar buscando estas aventuras que vuestra merced busca por estos desiertos y encrucijadas de caminos, donde, ya que se venzan y acaben las más eligrosas, no hay quien las vea ni sepa; y así, se han de quedar en perpetuo silencio, y en perjuicio de la intención de vuestra merced y de lo que ellas merecen. Y así, me parece que sería mejor, salvo el mejor parecer de vuestra merced, que nos fuésemos a servir a algún emperador, o a otro príncipe grande que tenga alguna guerra, en cuyo servicio vuestra merced muestre el valor de su persona, sus grandes fuerzas y mayor entendimiento; que, visto esto del señor a quien sirviéremos, por fuerza nos ha de remunerar, a cada cual según sus méritos, y allí no faltará quien ponga en escrito las hazañas de vuestra merced, para perpetua memoria. De las mías no digo nada, pues no han de salir de los límites escuderiles; aunque sé decir que, si se usa en la caballería escribir hazañas de escuderos, que no pienso que se han de quedar las mías entre renglones.
+–No dices mal, Sancho –respondió don Quijote–; mas, antes que se llegue a ese término, es menester andar por el mundo, como en aprobación, buscando las aventuras, para que, acabando algunas, se cobre nombre y fama tal que, cuando se fuere a la corte de algún gran monarca, ya sea el caballero conocido por sus obras; y que, apenas le hayan visto entrar los muchachos por la puerta de la ciudad, cuando todos le sigan y rodeen, dando voces, diciendo: ''Éste es el Caballero del Sol'', o de la Sierpe, o de otra insignia alguna, debajo de la cual hubiere acabado grandes hazañas. ''Éste es –dirán– el que venció en singular batalla al gigantazo Brocabruno de la Gran Fuerza; el que desencantó al Gran Mameluco de Persia del largo encantamento en que había estado casi novecientos años''. Así que, de mano en mano, irán pregonando tus hechos, y luego, al alboroto de los muchachos y de la demás gente, se parará a las fenestras de su real palacio el rey de aquel reino, y así como vea al caballero, conociéndole por las armas o por la empresa del escudo, forzosamente ha de decir: ''¡Ea, sus! ¡Salgan mis
+caballeros, cuantos en mi corte están, a recebir a la flor de la caballería, que allí viene!'' A cuyo mandamiento saldrán todos, y él llegará hasta la mitad de la escalera, y le abrazará estrechísimamente, y le dará paz besándole en el rostro; y luego le llevará por la mano al aposento de la señora reina, adonde el caballero la hallará con la infanta, su hija, que ha de ser una de las más fermosas y acabadas doncellas que, en gran parte de lo descubierto de la tierra, a duras penas se pueda hallar. Sucederá tras esto, luego en continente, que ella ponga los ojos en el caballero y él en los della, y cada uno parezca a otro cosa más divina que humana; y, sin saber cómo ni cómo [no], han de quedar presos y enlazados en la intricable red amorosa, y con gran cuita en sus corazones por no saber cómo se han de fablar para descubrir sus ansias y sentimientos. Desde allí le llevarán, sin duda, a algún cuarto del palacio, ricamente aderezado, donde, habiéndole quitado las armas, le traerán un rico manto de escarlata con que se cubra; y si bien pareció armado, tan bien y mejor ha de parecer en farseto. Venida la noche, cenará con el rey, reina e infanta, donde nunca quitará los ojos della, mirándola a furto de los circustantes, y ella hará lo mesmo con la mesma sagacidad, porque, como tengo dicho, es muy discreta doncella. Levantarse han las tablas, y entrará a deshora por la puerta de la sala un feo y pequeño enano con una fermosa dueña, que, entre dos gigantes, detrás del enano viene, con cierta aventura, hecha por un antiquísimo sabio, que el que la acabare será tenido por el mejor caballero del mundo. Mandará luego el rey que todos los que están presentes la prueben, y ninguno le dará fin y cima sino el caballero huésped, en mucho pro de su fama, de lo cual quedará contentísima la infanta, y se tendrá por contenta y pagada además, por haber puesto y colocado sus pensamientos en tan alta parte. Y lo bueno es que este rey, o príncipe, o lo que es, tiene una muy reñida guerra con otro tan poderoso como él, y el caballero huésped le pide (al cabo de algunos días que ha estado en su corte) licencia para ir a servirle en aquella guerra dicha. Darásela el rey de muy buen talante, y el caballero le besará cortésmente las manos por la merced que le face. Y aquella noche se despedirá de su señora la infanta por las rejas de un jardín, que cae en el aposento donde ella duerme, por las cuales ya otras muchas veces la había fablado, siendo medianera y sabidora de todo una doncella de quien la infanta mucho se fiaba. Sospirará él, desmayaráse ella, traerá agua la doncella, acuitaráse mucho porque viene la mañana, y no querría que fuesen descubiertos, por la honra de su señora. Finalmente, la infanta volverá en sí y dará sus blancas manos por la reja al caballero, el cual se las besará mil y mil veces y se las bañará en lágrimas. Quedará concertado entre los dos del modo que se han de hacer saber sus buenos o malos sucesos, y rogarále la princesa que se detenga lo menos que pudiere; prometérselo ha él con muchos juramentos; tórnale a besar las manos, y despídese con tanto sentimiento que estará poco por acabar la vida. Vase desde allí a su aposento, échase sobre su lecho, no puede dormir del dolor de la partida, madruga muy de mañana, vase a despedir del rey y de la reina y de la infanta; dícenle, habiéndose despedido de los dos, que la señora infanta está mal dispuesta y que no puede recebir visita; piensa el caballero que es de pena de su partida, traspásasele el corazón, y falta poco de no dar indicio manifiesto de su pena. Está la doncella medianera delante, halo de notar todo, váselo a decir a su señora, la cual la recibe con lágrimas y le dice que una de las mayores penas que tiene es no saber quién sea su caballero, y si es de linaje de reyes o no; asegúrala la doncella que no puede caber tanta cortesía, gentileza y valentía como la de su caballero sino en subjeto real y grave; consuélase con esto la cuitada; procura consolarse, por no dar mal indicio de sí a sus padres, y, a cabo de dos días, sale en público. Ya se es ido el caballero: pelea en la guerra, vence al enemigo del rey, gana muchas ciudades, triunfa de muchas batallas, vuelve a la corte, ve a su señora por donde suele, conciértase que la pida a su padre por mujer en pago de sus servicios. No se la quiere dar el rey, porque no sabe quién es; pero, con todo esto, o robada o de otra cualquier suerte que sea, la infanta viene a ser su esposa y su padre lo viene a tener a gran ventura, porque se vino a averiguar que el tal caballero es hijo de un valeroso rey de no sé qué reino, porque creo que no debe de estar en el mapa.
+Muérese el padre, hereda la infanta, queda rey el caballero en dos palabras. Aquí entra luego el hacer mercedes a su escudero y a todos aquellos que le ayudaron a subir a tan alto estado: casa a su escudero con una doncella de la infanta, que será, sin duda, la que fue tercera en sus amores, que es hija de un duque muy principal.
+–Eso pido, y barras derechas –dijo Sancho–; a eso me atengo, porque todo, al pie de la letra, ha de suceder por vuestra merced, llamándose el Caballero de la Triste Figura.
+–No lo dudes, Sancho –replicó don Quijote–, porque del mesmo y por los mesmos pasos que esto he contado suben y han subido los caballeros andantes a ser reyes y emperadores. Sólo falta agora mirar qué rey de los cristianos o de los paganos tenga guerra y tenga hija hermosa; pero tiempo habrá para pensar esto, pues, como te tengo dicho, primero se ha de cobrar fama por otras partes que se acuda a la corte. También me falta otra cosa; que, puesto caso que se halle rey con guerra y con hija hermosa, y que yo haya cobrado fama increíble por todo el universo, no sé yo cómo se podía hallar que yo sea de linaje de reyes, o, por lo menos, primo segundo de emperador; porque no me querrá el rey dar a su hija por mujer si no está primero muy enterado en esto, aunque más lo merezcan mis famosos hechos. Así que, por esta falta, temo perder lo que mi brazo tiene bien merecido. Bien es verdad que yo soy hijodalgo de solar conocido, de posesión y propriedad y de devengar quinientos sueldos; y podría ser que el sabio que escribiese mi historia deslindase de tal manera mi parentela y decendencia, que me hallase quinto o sesto nieto de rey. Porque te hago saber, Sancho, que hay dos maneras de linajes en el mundo: unos que traen y derriban su decendencia de príncipes y monarcas, a quien poco a poco el tiempo ha deshecho, y han acabado en punta, como pirámide puesta al revés; otros tuvieron principio de gente baja, y van subiendo de grado en grado, hasta llegar a ser grandes señores. De manera que está la diferencia en que unos fueron, que ya no son, y otros son, que ya no fueron; y podría ser yo déstos que, después de averiguado, hubiese sido mi principio grande y famoso, con lo cual se debía de contentar el rey, mi suegro, que hubiere de ser. Y cuando no, la infanta me ha de querer de manera que, a pesar de su padre, aunque claramente sepa que soy hijo de un azacán, me ha de admitir por señor y por esposo; y si no, aquí entra el roballa y llevalla donde más gusto me diere; que el tiempo o la muerte ha de acabar el enojo de sus padres.
+–Ahí entra bien también –dijo Sancho– lo que algunos desalmados dicen: "No pidas de grado lo que puedes tomar por fuerza"; aunque mejor cuadra decir: "Más vale salto de mata que ruego de hombres buenos". Dígolo porque si el señor rey, suegro de vuestra merced, no se quisiere domeñar a entregalle a mi señora la infanta, no hay sino, como vuestra merced dice, roballa y trasponella. Pero está el daño que, en tanto que se hagan las paces y se goce pacíficamente el reino, el pobre escudero se podrá estar a diente en esto de las mercedes. Si ya no es que la doncella tercera, que ha de ser su mujer, se sale con la infanta, y él pasa con ella su mala ventura, hasta que el cielo ordene otra cosa; porque bien podrá, creo yo, desde luego dársela su señor por ligítima esposa.
+–Eso no hay quien la quite –dijo don Quijote.
+–Pues, como eso sea –respondió Sancho–, no hay sino encomendarnos a Dios, y dejar correr la suerte por donde mejor lo encaminare.
+–Hágalo Dios –respondió don Quijote– como yo deseo y tú, Sancho, has menester; y ruin sea quien por ruin se tiene.
+–Sea par Dios –dijo Sancho–, que yo cristiano viejo soy, y para ser conde esto me basta.
+–Y aun te sobra –dijo don Quijote–; y cuando no lo fueras, no hacía nada al caso, porque, siendo yo el rey, bien te puedo dar nobleza, sin que la compres ni me sirvas con nada. Porque, en haciéndote conde, cátate ahí caballero, y digan lo que dijeren; que a buena fe que te han de llamar señoría, mal que les pese.
+–Y ¡montas que no sabría yo autorizar el litado! –dijo Sancho.
+–Dictado has de decir, que no litado –dijo su amo.
+–Sea ansí –respondió Sancho Panza–. Digo que le sabría bien acomodar, porque, por vida mía, que un tiempo fui muñidor de una cofradía, y que me asentaba tan bien la ropa de muñidor, que decían todos que tenía presencia para poder ser prioste de la mesma cofradía. Pues, ¿qué será cuando me ponga un ropón ducal a cuestas, o me vista de oro y de perlas, a uso de conde estranjero? Para mí tengo que me han de venir a ver de cien leguas.
+–Bien parecerás –dijo don Quijote–, pero será menester que te rapes las barbas a menudo; que, según las tienes de espesas, aborrascadas y mal puestas, si no te las rapas a navaja, cada dos días por lo menos, a tiro de escopeta se echará de ver lo que eres.
+–¿Qué hay más –dijo Sancho–, sino tomar un barbero y tenelle asalariado en casa? Y aun, si fuere menester, le haré que ande tras mí, como caballerizo de grande.
+–Pues, ¿cómo sabes tú –preguntó don Quijote– que los grandes llevan detrás de sí a sus caballerizos?
+–Yo se lo diré –respondió Sancho–: los años pasados estuve un mes en la corte, y allí vi que, paseándose un señor muy pequeño, que decían que era muy grande, un hombre le seguía a caballo a todas las vueltas que daba, que no parecía sino que era su rabo. Pregunté que cómo aquel hombre no se juntaba con el otro, sino que siempre andaba tras dél. Respondiéronme que era su caballerizo y que era uso de los grandes llevar tras sí a los tales. Desde entonces lo sé tan bien que nunca se me ha olvidado.
+–Digo que tienes razón –dijo don Quijote–, y que así puedes tú llevar a tu barbero; que los usos no vinieron todos juntos, ni se inventaron a una, y puedes ser tú el primero conde que lleve tras sí su barbero; y aun es de más confianza el hacer la barba que ensillar un caballo.
+–Quédese eso del barbero a mi cargo –dijo Sancho–, y al de vuestra merced se quede el procurar venir a ser rey y el hacerme conde.
+–Así será –respondió don Quijote.
+Y, alzando los ojos, vio lo que se dirá en el siguiente capítulo.
+Capítulo 22: De la libertad que dio don Quijote a muchos desdichados que, mal de su grado, los llevaban donde no quisieran ir
+Cuenta Cide Hamete Benengeli, autor arábigo y manchego, en esta gravísima, altisonante, mínima, dulce e imaginada historia que, después que entre el famoso don Quijote de la Mancha y Sancho Panza, su escudero, pasaron aquellas razones que en el fin del capítulo veinte y uno quedan referidas, que don Quijote alzó los ojos y vio que por el camino que llevaba venían hasta doce hombres a pie, ensartados, como cuentas, en una gran cadena de hierro por los cuellos, y todos con esposas a las manos. Venían ansimismo con ellos dos hombres de a caballo y dos de a pie; los de a caballo, con escopetas de rueda, y los de a pie, con dardos y espadas; y que así como Sancho Panza los vido, dijo:
+–Ésta es cadena de galeotes, gente forzada del rey, que va a las galeras.
+–¿Cómo gente forzada? –preguntó don Quijote–. ¿Es posible que el rey haga fuerza a ninguna gente?
+–No digo eso –respondió Sancho–, sino que es gente que, por sus delitos, va condenada a servir al rey en las galeras de por fuerza.
+–En resolución –replicó don Quijote–, comoquiera que ello sea, esta gente, aunque los llevan, van de por fuerza, y no de su voluntad.
+–Así es –dijo Sancho.
+–Pues desa manera –dijo su amo–, aquí encaja la ejecución de mi oficio: desfacer fuerzas y socorrer y acudir a los miserables.
+–Advierta vuestra merced –dijo Sancho– que la justicia, que es el mesmo rey, no hace fuerza ni agravio a semejante gente, sino que los castiga en pena de sus delitos.
+Llegó, en esto, la cadena de los galeotes, y don Quijote, con muy corteses razones, pidió a los que iban en su guarda fuesen servidos de informalle y decille la causa, o causas, por que llevan aquella gente de aquella manera.
+Una de las guardas de a caballo respondió que eran galeotes, gente de Su Majestad que iba a galeras, y que no había más que decir, ni él tenía más que saber.
+–Con todo eso –replicó don Quijote–, querría saber de cada uno dellos en particular la causa de su desgracia.
+Añadió a éstas otras tales y tan comedidas razones, para moverlos a que dijesen lo que deseaba, que la otra guarda de a caballo le dijo:
+–Aunque llevamos aquí el registro y la fe de las sentencias de cada uno destos malaventurados, no es tiempo éste de detenerles a sacarlas ni a leellas; vuestra merced llegue y se lo pregunte a ellos mesmos, que ellos lo dirán si quisieren, que sí querrán, porque es gente que recibe gusto de hacer y decir bellaquerías.
+Con esta licencia, que don Quijote se tomara aunque no se la dieran, se llegó a la cadena, y al primero le preguntó que por qué pecados iba de tan mala guisa. Él le respondió que por enamorado iba de aquella manera.
+–¿Por eso no más? –replicó don Quijote–. Pues, si por enamorados echan a galeras, días ha que pudiera yo estar bogando en ellas.
+–No son los amores como los que vuestra merced piensa –dijo el galeote–; que los míos fueron que quise tanto a una canasta de colar, atestada de ropa blanca, que la abracé conmigo tan fuertemente que, a no quitármela la justicia por fuerza, aún hasta agora no la hubiera dejado de mi voluntad. Fue en fragante, no hubo lugar de tormento; concluyóse la causa, acomodáronme las espaldas con ciento, y por añadidura tres precisos de gurapas, y acabóse la obra.
+–¿Qué son gurapas? –preguntó don Quijote. –Gurapas son galeras –respondió el galeote.
+El cual era un mozo de hasta edad de veinte y cuatro años, y dijo que era natural de Piedrahíta. Lo mesmo preguntó don Quijote al segundo, el cual no respondió palabra, según iba de triste y malencónico; mas respondió por él el primero, y dijo:
+–Éste, señor, va por canario; digo, por músico y cantor.
+–Sí, señor –respondió el galeote–, que no hay peor cosa que cantar en el ansia. –Antes, he yo oído decir –dijo don Quijote– que quien canta sus males espanta. –Acá es al revés –dijo el galeote–, que quien canta una vez llora toda la vida. –No lo entiendo –dijo don Quijote.
+Mas una de las guardas le dijo:
+–Señor caballero, cantar en el ansia se dice, entre esta gente non santa, confesar en el tormento. A este pecador le dieron tormento y confesó su delito, que era ser cuatrero, que es ser ladrón de bestias, y, por haber confesado, le condenaron por seis años a galeras, amén de docientos azotes que ya lleva en las espaldas. Y va siempre pensativo y triste, porque los demás ladrones que allá quedan y aquí van le maltratan y aniquilan, y escarnecen y tienen en poco, porque confesó y no tuvo ánimo de decir nones. Porque dicen ellos que tantas letras tiene un no como un sí, y que harta ventura tiene un delincuente, que está en su lengua su vida o su muerte, y no en la de los testigos y probanzas; y para mí tengo que no van muy fuera de camino.
+–Y yo lo entiendo así –respondió don Quijote.
+El cual, pasando al tercero, preguntó lo que a los otros; el cual, de presto y con mucho desenfado, respondió y dijo:
+–Yo voy por cinco años a las señoras gurapas por faltarme diez ducados.
+–Yo daré veinte de muy buena gana –dijo don Quijote– por libraros desa pesadumbre.
+–Eso me parece –respondió el galeote– como quien tiene dineros en mitad del golfo y se está muriendo de hambre, sin tener adonde comprar lo que ha menester. Dígolo porque si a su tiempo tuviera yo esos veinte ducados que vuestra merced ahora me ofrece, hubiera untado con ellos la péndola del escribano y avivado el ingenio del procurador, de manera que hoy me viera en mitad de la plaza de Zocodover, de Toledo, y no en este camino, atraillado como galgo; pero Dios es grande: paciencia y basta.
+Pasó don Quijote al cuarto, que era un hombre de venerable rostro con una barba blanca que le pasaba del pecho; el cual, oyéndose preguntar la causa por que allí venía, comenzó a llorar y no respondió palabra; mas el quinto condenado le sirvió de lengua, y dijo:
+–Este hombre honrado va por cuatro años a galeras, habiendo paseado las acostumbradas vestido en pompa y a caballo.
+–Eso es –dijo Sancho Panza–, a lo que a mí me parece, haber salido a la vergüenza.
+–Así es –replicó el galeote–; y la culpa por que le dieron esta pena es por haber sido corredor de oreja, y aun de todo el cuerpo. En efecto, quiero decir que este caballero va por alcahuete, y por tener asimesmo sus puntas y collar de hechicero.
+–A no haberle añadido esas puntas y collar –dijo don Quijote–, por solamente el alcahuete limpio, no merecía él ir a bogar en las galeras, sino a mandallas y a ser general dellas; porque no es así comoquiera el oficio de alcahuete, que es oficio de discretos y necesarísimo en la república bien ordenada, y que no le debía ejercer sino gente muy bien nacida; y aun había de haber veedor y examinador de los tales, como le hay de los demás oficios, con número deputado y conocido, como corredores de lonja; y desta manera se escusarían muchos males que se causan por andar este oficio y ejercicio entre gente idiota y de poco entendimiento, como son mujercillas de poco más a menos, pajecillos y truhanes de pocos años y de poca experiencia, que, a la más necesaria ocasión y cuando es menester dar una traza que importe, se les yelan las migas entre la boca y la mano y no saben cuál es su mano derecha. Quisiera pasar adelante y dar las razones por que convenía hacer elección de los que en la república habían de tener tan necesario oficio, pero no es el lugar acomodado para ello: algún día lo diré a quien lo pueda proveer y remediar. Sólo digo ahora que la pena que me ha causado ver estas blancas canas y este rostro venerable en tanta fatiga, por alcahuete, me la ha quitado el adjunto de ser hechicero; aunque bien sé que no hay hechizos en el mundo que puedan mover y forzar la voluntad, como algunos simples piensan; que es libre nuestro albedrío, y no hay yerba ni encanto que le fuerce. Lo que suelen hacer algunas mujercillas simples y algunos embusteros bellacos es algunas misturas y venenos con que vuelven locos a los hombres, dando a entender que tienen fuerza para hacer querer bien, siendo, como digo, cosa imposible forzar la voluntad.
+–Así es –dijo el buen viejo–, y, en verdad, señor, que en lo de hechicero que no tuve culpa; en lo de alcahuete, no lo pude negar. Pero nunca pensé que hacía mal
+en ello: que toda mi intención era que todo el mundo se holgase y viviese en paz y quietud, sin pendencias ni penas; pero no me aprovechó nada este buen deseo para dejar de ir adonde no espero volver, según me cargan los años y un mal de orina que llevo, que no me deja reposar un rato.
+Y aquí tornó a su llanto, como de primero; y túvole Sancho tanta compasión, que sacó un real de a cuatro del seno y se le dio de limosna.
+Pasó adelante don Quijote, y preguntó a otro su delito, el cual respondió con no menos, sino con mucha más gallardía que el pasado:
+–Yo voy aquí porque me burlé demasiadamente con dos primas hermanas mías, y con otras dos hermanas que no lo eran mías; finalmente, tanto me burlé con todas, que resultó de la burla crecer la parentela, tan intricadamente que no hay diablo que la declare. Probóseme todo, faltó favor, no tuve dineros, víame a pique de perder los tragaderos, sentenciáronme a galeras por seis años, consentí: castigo es de mi culpa; mozo soy: dure la vida, que con ella todo se alcanza. Si vuestra merced, señor caballero, lleva alguna cosa con que socorrer a estos pobretes, Dios se lo pagará en el cielo, y nosotros tendremos en la tierra cuidado de rogar a Dios en nuestras oraciones por la vida y salud de vuestra merced, que sea tan larga y tan buena como su buena presencia merece.
+Éste iba en hábito de estudiante, y dijo una de las guardas que era muy grande hablador y muy gentil latino.
+Tras todos éstos, venía un hombre de muy buen parecer, de edad de treinta años, sino que al mirar metía el un ojo en el otro un poco. Venía diferentemente atado que los demás, porque traía una cadena al pie, tan grande que se la liaba por todo el cuerpo, y dos argollas a la garganta, la una en la cadena, y la otra de las que llaman guardaamigo o piedeamigo, de la cual decendían dos hierros que llegaban a la cintura, en los cuales se asían dos esposas, donde llevaba las manos, cerradas con un grueso candado, de manera que ni con las manos podía llegar a la boca, ni podía bajar la cabeza a llegar a las manos. Preguntó don Quijote que cómo iba aquel hombre con tantas prisiones más que los otros. Respondióle la guarda porque tenía aquel solo más delitos que todos los otros juntos, y que era tan atrevido y tan grande bellaco que, aunque le llevaban de aquella manera, no iban seguros dél, sino que temían que se les había de huir.
+–¿Qué delitos puede tener –dijo don Quijote–, si no han merecido más pena que echalle a las galeras?
+–Va por diez años –replicó la guarda–, que es como muerte cevil. No se quiera saber más, sino que este buen hombre es el famoso Ginés de Pasamonte, que por otro nombre llaman Ginesillo de Parapilla.
+–Señor comisario –dijo entonces el galeote–, váyase poco a poco, y no andemos ahora a deslindar nombres y sobrenombres. Ginés me llamo y no Ginesillo, y Pasamonte es mi alcurnia, y no Parapilla, como voacé dice; y cada uno se dé una vuelta a la redonda, y no hará poco.
+–Hable con menos tono –replicó el comisario–, señor ladrón de más de la marca, si no quiere que le haga callar, mal que le pese.
+–Bien parece –respondió el galeote– que va el hombre como Dios es servido, pero algún día sabrá alguno si me llamo Ginesillo de Parapilla o no.
+–Pues, ¿no te llaman ansí, embustero? –dijo la guarda.
+–Sí llaman –respondió Ginés–, mas yo haré que no me lo llamen, o me las pelaría donde yo digo entre mis dientes. Señor caballero, si tiene algo que darnos, dénoslo ya, y vaya con Dios, que ya enfada con tanto querer saber vidas ajenas; y si la mía quiere saber, sepa que yo soy Ginés de Pasamonte, cuya vida está escrita por estos pulgares.
+–Dice verdad –dijo el comisario–: que él mesmo ha escrito su historia, que no hay más, y deja empeñado el libro en la cárcel en docientos reales.
+–Y le pienso quitar –dijo Ginés–, si quedara en docientos ducados.
+–¿Tan bueno es? –dijo don Quijote.
+–Es tan bueno –respondió Ginés– que mal año para Lazarillo de Tormes y para todos cuantos de aquel género se han escrito o escribieren. Lo que le sé decir a voacé es que trata verdades, y que son verdades tan lindas y tan donosas que no pueden haber mentiras que se le igualen.
+–¿Y cómo se intitula el libro? –preguntó don Quijote. –La vida de Ginés de Pasamonte –respondió el mismo. –¿Y está acabado? –preguntó don Quijote.
+–¿Cómo puede estar acabado –respondió él–, si aún no está acabada mi vida? Lo que está escrito es desde mi nacimiento hasta el punto que esta última vez me han echado en galeras.
+–Luego, ¿otra vez habéis estado en ellas? –dijo don Quijote.
+–Para servir a Dios y al rey, otra vez he estado cuatro años, y ya sé a qué sabe el bizcocho y el corbacho –respondió Ginés–; y no me pesa mucho de ir a ellas, porque allí tendré lugar de acabar mi libro, que me quedan muchas cosas que decir, y en las galeras de España hay mas sosiego de aquel que sería menester, aunque no es menester mucho más para lo que yo tengo de escribir, porque me lo sé de coro.
+–Hábil pareces –dijo don Quijote.
+–Y desdichado –respondió Ginés–; porque siempre las desdichas persiguen al buen ingenio.
+–Persiguen a los bellacos –dijo el comisario.
+–Ya le he dicho, señor comisario –respondió Pasamonte–, que se vaya poco a poco, que aquellos señores no le dieron esa vara para que maltratase a los pobretes que aquí vamos, sino para que nos guiase y llevase adonde Su Majestad manda. Si no, ¡por vida de...! ¡Basta!, que podría ser que saliesen algún día en la colada las manchas que se hicieron en la venta; y todo el mundo calle, y viva bien, y hable mejor y caminemos, que ya es mucho regodeo éste.
+Alzó la vara en alto el comisario para dar a Pasamonte en respuesta de sus amenazas, mas don Quijote se puso en medio y le rogó que no le maltratase, pues
+no era mucho que quien llevaba tan atadas las manos tuviese algún tanto suelta la lengua. Y, volviéndose a todos los de la cadena, dijo:
+–De todo cuanto me habéis dicho, hermanos carísimos, he sacado en limpio que, aunque os han castigado por vuestras culpas, las penas que vais a padecer no os dan mucho gusto, y que vais a ellas muy de mala gana y muy contra vuestra voluntad; y que podría ser que el poco ánimo que aquél tuvo en el tormento, la falta de dineros déste, el poco favor del otro y, finalmente, el torcido juicio del juez, hubiese sido causa de vuestra perdición y de no haber salido con la justicia que de vuestra parte teníades. Todo lo cual se me representa a mí ahora en la memoria de manera que me está diciendo, persuadiendo y aun forzando que muestre con vosotros el efeto para que el cielo me arrojó al mundo, y me hizo profesar en él la orden de caballería que profeso, y el voto que en ella hice de favorecer a los menesterosos y opresos de los mayores. Pero, porque sé que una de las partes de la prudencia es que lo que se puede hacer por bien no se haga por mal, quiero rogar a estos señores guardianes y comisario sean servidos de desataros y dejaros ir en paz, que no faltarán otros que sirvan al rey en mejores ocasiones; porque me parece duro caso hacer esclavos a los que Dios y naturaleza hizo libres. Cuanto más, señores guardas –añadió don Quijote–, que estos pobres no han cometido nada contra vosotros. Allá se lo haya cada uno con su pecado; Dios hay en el cielo, que no se descuida de castigar al malo ni de premiar al bueno, y no es bien que los hombres honrados sean verdugos de los otros hombres, no yéndoles nada en ello. Pido esto con esta mansedumbre y sosiego, porque tenga, si lo cumplís, algo que agradeceros; y, cuando de grado no lo hagáis, esta lanza y esta espada, con el valor de mi brazo, harán que lo hagáis por fuerza.
+–¡Donosa majadería! –respondió el comisario– ¡Bueno está el donaire con que ha salido a cabo de rato! ¡Los forzados del rey quiere que le dejemos, como si tuviéramos autoridad para soltarlos o él la tuviera para mandárnoslo! Váyase vuestra merced, señor, norabuena, su camino adelante, y enderécese ese bacín que trae en la cabeza, y no ande buscando tres pies al gato.
+–¡Vos sois el gato, y el rato, y el bellaco! –respondió don Quijote.
+Y, diciendo y haciendo, arremetió con él tan presto que, sin que tuviese lugar de ponerse en defensa, dio con él en el suelo, malherido de una lanzada; y avínole bien, que éste era el de la escopeta. Las demás guardas quedaron atónitas y suspensas del no esperado acontecimiento; pero, volviendo sobre sí, pusieron mano a sus espadas los de a caballo, y los de a pie a sus dardos, y arremetieron a don Quijote, que con mucho sosiego los aguardaba; y, sin duda, lo pasara mal si los galeotes, viendo la ocasión que se les ofrecía de alcanzar libertad, no la procu[ra]ran, procurando romper la cadena donde venían ensartados. Fue la revuelta de manera que las guardas, ya por acudir a los galeotes, que se desataban, ya por acometer a don Quijote, que los acometía, no hicieron cosa que fuese de provecho.
+Ayudó Sancho, por su parte, a la soltura de Ginés de Pasamonte, que fue el primero que saltó en la campaña libre y desembarazado, y, arremetiendo al comisario caído, le quitó la espada y la escopeta, con la cual, apuntando al uno y señalando al otro, sin disparalla jamás, no quedó guarda en todo el campo, porque se fueron huyendo, así de la escopeta de Pasamonte como de las muchas pedradas que los ya sueltos galeotes les tiraban.
+Entristecióse mucho Sancho deste suceso, porque se le representó que los que iban huyendo habían de dar noticia del caso a la Santa Hermandad, la cual, a campana
+herida, saldría a buscar los delincuentes, y así se lo dijo a su amo, y le rogó que luego de allí se partiesen y se emboscasen en la sierra, que estaba cerca.
+–Bien está eso –dijo don Quijote–, pero yo sé lo que ahora conviene que se haga.
+Y, llamando a todos los galeotes, que andaban alborotados y habían despojado al comisario hasta dejarle en cueros, se le pusieron todos a la redonda para ver lo que les mandaba, y así les dijo:
+–De gente bien nacida es agradecer los beneficios que reciben, y uno de los pecados que más a Dios ofende es la ingratitud. Dígolo porque ya habéis visto, señores, con manifiesta experiencia, el que de mí habéis recebido; en pago del cual querría, y es mi voluntad, que, cargados de esa cadena que quité de vuestros cuellos, luego os pongáis en camino y vais a la ciudad del Toboso, y allí os presentéis ante la señora Dulcinea del Toboso y le digáis que su caballero, el de la Triste Figura, se le envía a encomendar, y le contéis, punto por punto, todos los que ha tenido esta famosa aventura hasta poneros en la deseada libertad; y, hecho esto, os podréis ir donde quisiéredes a la buena ventura.
+Respondió por todos Ginés de Pasamonte, y dijo:
+–Lo que vuestra merced nos manda, señor y libertador nuestro, es imposible de toda imposibilidad cumplirlo, porque no podemos ir juntos por los caminos, sino solos y divididos, y cada uno por su parte, procurando meterse en las entrañas de la tierra, por no ser hallado de la Santa Hermandad, que, sin duda alguna, ha de salir en nuestra busca. Lo que vuestra merced puede hacer, y es justo que haga, es mudar ese servicio y montazgo de la señora Dulcinea del Toboso en alguna cantidad de avemarías y credos, que nosotros diremos por la intención de vuestra merced; y ésta es cosa que se podrá cumplir de noche y de día, huyendo o reposando, en paz o en guerra; pero pensar que hemos de volver ahora a las ollas de Egipto, digo, a tomar nuestra cadena y a ponernos en camino del Toboso, es pensar que es ahora de noche, que aún no son las diez del día, y es pedir a nosotros eso como pedir peras al olmo.
+–Pues ¡voto a tal! –dijo don Quijote, ya puesto en cólera–, don hijo de la puta, don Ginesillo de Paropillo, o como os llamáis, que habéis de ir vos solo, rabo entre piernas, con toda la cadena a cuestas.
+Pasamonte, que no era nada bien sufrido, estando ya enterado que don Quijote no era muy cuerdo, pues tal disparate había cometido como el de querer darles libertad, viéndose tratar de aquella manera, hizo del ojo a los compañeros, y, apartándose aparte, comenzaron a llover tantas piedras sobre don Quijote, que no se daba manos a cubrirse con la rodela; y el pobre de Rocinante no hacía más caso de la espuela que si fuera hecho de bronce. Sancho se puso tras su asno, y con él se defendía de la nube y pedrisco que sobre entrambos llovía. No se pudo escudar tan bien don Quijote que no le acertasen no sé cuántos guijarros en el cuerpo, con tanta fuerza que dieron con él en el suelo; y apenas hubo caído, cuando fue sobre él el estudiante y le quitó la bacía de la cabeza, y diole con ella tres o cuatro golpes en las espaldas y otros tantos en la tierra, con que la hizo pedazos. Quitáronle una ropilla que traía sobre las armas, y las medias calzas le querían quitar si las grebas no lo estorbaran. A Sancho le quitaron el gabán, y, dejándole en pelota, repartiendo entre sí los demás despojos de la batalla, se fueron cada uno por su parte, con más cuidado de escaparse de la Hermandad, que temían, que de cargarse de la cadena e ir a presentarse ante la señora Dulcinea del Toboso.
+Solos quedaron jumento y Rocinante, Sancho y Don Quijote; el jumento, cabizbajo y pensativo, sacudiendo de cuando en cuando las orejas, pensando que aún no había cesado la borrasca de las piedras, que le perseguían los oídos; Rocinante, tendido junto a su amo, que también vino al suelo de otra pedrada; Sancho, en pelota y temeroso de la Santa Hermandad; don Quijote, mohinísimo de verse tan malparado por los mismos a quien tanto bien había hecho.
+Capítulo 23: De lo que le aconteció al famoso don Quijote en Sierra Morena, que fue una de las más raras aventuras que en esta verdadera historia se cuentan
+Viéndose tan malparado don Quijote, dijo a su escudero:
+–Siempre, Sancho, lo he oído decir, que el hacer bien a villanos es echar agua en la mar. Si yo hubiera creído lo que me dijiste, yo hubiera escusado esta pesadumbre; pero ya está hecho: paciencia, y escarmentar para desde aquí adelante.
+–Así escarmentará vuestra merced –respondió Sancho– como yo soy turco; pero, pues dice que si me hubiera creído se hubiera escusado este daño, créame ahora y escusará otro mayor; porque le hago saber que con la Santa Hermandad no hay usar de caballerías, que no se le da a ella por cuantos caballeros andantes hay dos maravedís; y sepa que ya me parece que sus saetas me zumban por los oídos.
+–Naturalmente eres cobarde, Sancho –dijo don Quijote–, pero, porque no digas que soy contumaz y que jamás hago lo que me aconsejas, por esta vez quiero tomar tu consejo y apartarme de la furia que tanto temes; mas ha de ser con una condición: que jamás, en vida ni en muerte, has de decir a nadie que yo me retiré y aparté deste peligro de miedo, sino por complacer a tus ruegos; que si otra cosa dijeres, mentirás en ello, y desde ahora para entonces, y desde entonces para ahora, te desmiento, y digo que mientes y mentirás todas las veces que lo pensares o lo dijeres. Y no me repliques más, que en sólo pensar que me aparto y retiro de algún peligro, especialmente déste, que parece que lleva algún es no es de sombra de miedo, estoy ya para quedarme, y para aguardar aquí solo, no solamente a la Santa Hermandad que dices y temes, sino a los hermanos de los doce tribus de Israel, y a los siete Macabeos, y a Cástor y a Pólux, y aun a todos los hermanos y hermandades que hay en el mundo.
+–Señor –respondió Sancho–, que el retirar no es huir, ni el esperar es cordura, cuando el peligro sobrepuja a la esperanza, y de sabios es guardarse hoy para mañana y no aventurarse todo en un día. Y sepa que, aunque zafio y villano, todavía se me alcanza algo desto que llaman buen gobierno; así que, no se arrepienta de haber tomado mi consejo, sino suba en Rocinante, si puede, o si no yo le ayudaré, y sígame, que el caletre me dice que hemos menester ahora más los pies que las manos.
+Subió don Quijote, sin replicarle más palabra, y, guiando Sancho sobre su asno, se entraron por una parte de Sierra Morena, que allí junto estaba, llevando Sancho intención de atravesarla toda e ir a salir al Viso, o a Almodóvar del Campo, y
+esconderse algunos días por aquellas asperezas, por no ser hallados si la Hermandad los buscase. Animóle a esto haber visto que de la refriega de los galeotes se había escapado libre la despensa que sobre su asno venía, cosa que la juzgó a milagro, según fue lo que llevaron y buscaron los galeotes.
+Así como don Quijote entró por aquellas montañas, se le alegró el corazón, pareciéndole aquellos lugares acomodados para las aventuras que buscaba. Reducíansele a la memoria los maravillosos acaecimientos que en semejantes soledades y asperezas habían sucedido a caballeros andantes. Iba pensando en estas cosas, tan embebecido y trasportado en ellas que de ninguna otra se acordaba. Ni Sancho llevaba otro cuidado –después que le pareció que caminaba por parte segura– sino de satisfacer su estómago con los relieves que del despojo clerical habían quedado; y así, iba tras su amo sentado a la mujeriega sobre su jumento, sacando de un costal y embaulando en su panza; y no se le diera por hallar otra ventura, entretanto que iba de aquella manera, un ardite.
+En esto, alzó los ojos y vio que su amo estaba parado, procurando con la punta del lanzón alzar no sé qué bulto que estaba caído en el suelo, por lo cual se dio priesa a llegar a ayudarle si fuese menester; y cuando llegó fue a tiempo que alzaba con la punta del lanzón un cojín y una maleta asida a él, medio podridos, o podridos del todo, y deshechos; mas, pesaba tanto, que fue necesario que Sancho se apease a tomarlos, y mandóle su amo que viese lo que en la maleta venía.
+Hízolo con mucha presteza Sancho, y, aunque la maleta venía cerrada con una cadena y su candado, por lo roto y podrido della vio lo que en ella había, que eran cuatro camisas de delgada holanda y otras cosas de lienzo, no menos curiosas que limpias, y en un pañizuelo halló un buen montoncillo de escudos de oro; y, así como los vio, dijo:
+–¡Bendito sea todo el cielo, que nos ha deparado una aventura que sea de provecho!
+Y buscando más, halló un librillo de memoria, ricamente guarnecido. Éste le pidió don Quijote, y mandóle que guardase el dinero y lo tomase para él. Besóle las manos Sancho por la merced, y, desvalijando a la valija de su lencería, la puso en el costal de la despensa. Todo lo cual visto por don Quijote, dijo:
+–Paréceme, Sancho, y no es posible que sea otra cosa, que algún caminante descaminado debió de pasar por esta sierra, y, salteándole malandrines, le debieron de matar, y le trujeron a enterrar en esta tan escondida parte.
+–No puede ser eso –respondió Sancho–, porque si fueran ladrones, no se dejaran aquí este dinero.
+–Verdad dices –dijo don Quijote–, y así, no adivino ni doy en lo que esto pueda ser; mas, espérate: veremos si en este librillo de memoria hay alguna cosa escrita por donde podamos rastrear y venir en conocimiento de lo que deseamos.
+Abrióle, y lo primero que halló en él escrito, como en borrador, aunque de muy buena letra, fue un soneto, que, leyéndole alto porque Sancho también lo oyese, vio que decía desta manera:
+O le falta al Amor conocimiento,
+o le sobra crueldad, o no es mi pena
+igual a la ocasión que me condena
+al género más duro de tormento.
+Pero si Amor es dios, es argumento
+que nada ignora, y es razón muy buena
+que un dios no sea cruel. Pues, ¿quién ordena el terrible dolor que adoro y siento?
+Si digo que sois vos, Fili, no acierto;
+que tanto mal en tanto bien no cabe,
+ni me viene del cielo esta rüina.
+Presto habré de morir, que es lo más cierto; que al mal de quien la causa no se sabe milagro es acertar la medicina.
+–Por esa trova –dijo Sancho– no se puede saber nada, si ya no es que por ese hilo que está ahí se saque el ovillo de todo.
+–¿Qué hilo está aquí? –dijo don Quijote.
+–Paréceme –dijo Sancho– que vuestra merced nombró ahí hilo.
+–No dije sino Fili –respondió don Quijote–, y éste, sin duda, es el nombre de la dama de quien se queja el autor deste soneto; y a fe que debe de ser razonable poeta, o yo sé poco del arte.
+–Luego, ¿también –dijo Sancho– se le entiende a vuestra merced de trovas?
+–Y más de lo que tú piensas –respondió don Quijote–, y veráslo cuando lleves una carta, escrita en verso de arriba abajo, a mi señora Dulcinea del Toboso. Porque quiero que sepas, Sancho, que todos o los más caballeros andantes de la edad pasada eran grandes trovadores y grandes músicos; que estas dos habilidades, o gracias, por mejor decir, son anexas a los enamorados andantes. Verdad es que las coplas de los pasados caballeros tienen más de espíritu que de primor.
+–Lea más vuestra merced –dijo Sancho–, que ya hallará algo que nos satisfaga. Volvió la hoja don Quijote y dijo:
+–Esto es prosa, y parece carta.
+–¿Carta misiva, señor? –preguntó Sancho.
+–En el principio no parece sino de amores –respondió don Quijote.
+–Pues lea vuestra merced alto –dijo Sancho–, que gusto mucho destas cosas de amores.
+–Que me place –dijo don Quijote.
+Y, leyéndola alto, como Sancho se lo había rogado, vio que decía desta manera:
+Tu falsa promesa y mi cierta desventura me llevan a parte donde antes volverán a tus oídos las nuevas de mi muerte que las razones de mis quejas. Desechásteme, ¡oh ingrata!, por quien tiene más, no por quien vale más que yo; mas si la virtud fuera riqueza que se estimara, no envidiara yo dichas ajenas ni llorara desdichas propias. Lo que levantó tu hermosura han derribado tus obras: por ella entendí que eras ángel, y por ellas conozco que eres mujer. Quédate en paz, causadora de mi guerra, y haga el cielo que los engaños de tu esposo estén siempre encubiertos, porque tú no quedes arrepentida de lo que heciste y yo no tome venganza de lo que no deseo.
+Acabando de leer la carta, dijo don Quijote:
+–Menos por ésta que por los versos se puede sacar más de que quien la escribió es algún desdeñado amante.
+Y, hojeando casi todo el librillo, halló otros versos y cartas, que algunos pudo leer y otros no; pero lo que todos contenían eran quejas, lamentos, desconfianzas, sabores y sinsabores, favores y desdenes, solenizados los unos y llorados los otros.
+En tanto que don Quijote pasaba el libro, pasaba Sancho la maleta, sin dejar rincón en toda ella, ni en el cojín, que no buscase, escudriñase e inquiriese, ni costura que no deshiciese, ni vedija de lana que no escarmenase, porque no se quedase nada por diligencia ni mal recado: tal golosina habían despertado en él los hallados escudos, que pasaban de ciento. Y, aunque no halló mas de lo hallado, dio por bien empleados los vuelos de la manta, el vomitar del brebaje, las bendiciones de las estacas, las puñadas del arriero, la falta de las alforjas, el robo del gabán y toda la hambre, sed y cansancio que había pasado en servicio de su buen señor, pareciéndole que estaba más que rebién pagado con la merced recebida de la entrega del hallazgo.
+Con gran deseo quedó el Caballero de la Triste Figura de saber quién fuese el dueño de la maleta, conjeturando, por el soneto y carta, por el dinero en oro y por las tan buenas camisas, que debía de ser de algún principal enamorado, a quien desdenes y malos tratamientos de su dama debían de haber conducido a algún desesperado término. Pero, como por aquel lugar inhabitable y escabroso no parecía persona alguna de quien poder informarse, no se curó de más que de pasar adelante, sin llevar otro camino que aquel que Rocinante quería, que era por donde él podía caminar, siempre con imaginación que no podía faltar por aquellas malezas alguna estraña aventura.
+Yendo, pues, con este pensamiento, vio que, por cima de una montañuela que delante de los ojos se le ofrecía, iba saltando un hombre, de risco en risco y de mata en mata, con estraña ligereza. Figurósele que iba desnudo, la barba negra y espesa, los cabellos muchos y rabultados, los pies descalzos y las piernas sin cosa alguna; los muslos cubrían unos calzones, al parecer de terciopelo leonado, mas tan hechos pedazos que por muchas partes se le descubrían las carnes. Traía la cabeza descubierta, y, aunque pasó con la ligereza que se ha dicho, todas estas menudencias miró y notó el Caballero de la Triste Figura; y, aunque lo procuró, no pudo seguille, porque no era dado a la debilidad de Rocinante andar por aquellas
+asperezas, y más siendo él de suyo pisacorto y flemático. Luego imaginó don Quijote que aquél era el dueño del cojín y de la maleta, y propuso en sí de buscalle, aunque supiese andar un año por aquellas montañas hasta hallarle; y así, mandó a Sancho que se apease del asno y atajase por la una parte de la montaña, que él iría por la otra y podría ser que topasen, con esta diligencia, con aquel hombre que con tanta priesa se les había quitado de delante.
+–No podré hacer eso –respondió Sancho–, porque, en apartándome de vuestra merced, luego es conmigo el miedo, que me asalta con mil géneros de sobresaltos y visiones. Y sírvale esto que digo de aviso, para que de aquí adelante no me aparte un dedo de su presencia.
+–Así será –dijo el de la Triste Figura–, y yo estoy muy contento de que te quieras valer de mi ánimo, el cual no te ha de faltar, aunque te falte el ánima del cuerpo. Y vente ahora tras mí poco a poco, o como pudieres, y haz de los ojos lanternas; rodearemos esta serrezuela: quizá toparemos con aquel hombre que vimos, el cual, sin duda alguna, no es otro que el dueño de nuestro hallazgo.
+A lo que Sancho respondió:
+–Harto mejor sería no buscalle, porque si le hallamos y acaso fuese el dueño del dinero, claro está que lo tengo de restituir; y así, fuera mejor, sin hacer esta inútil diligencia, poseerlo yo con buena fe hasta que, por otra vía menos curiosa y diligente, pareciera su verdadero señor; y quizá fuera a tiempo que lo hubiera gastado, y entonces el rey me hacía franco.
+–Engáñaste en eso, Sancho –respondió don Quijote–; que, ya que hemos caído en sospecha de quién es el dueño, cuasi delante, estamos obligados a buscarle y volvérselos; y, cuando no le buscásemos, la vehemente sospecha que tenemos de que él lo sea nos pone ya en tanta culpa como si lo fuese. Así que, Sancho amigo, no te dé pena el buscalle, por la que a mí se me quitará si le hallo.
+Y así, picó a Rocinante, y siguióle Sancho con su acostumbrado jumento; y, habiendo rodeado parte de la montaña, hallaron en un arroyo, caída, muerta y medio comida de perros y picada de grajos, una mula ensillada y enfrenada; todo lo cual confirmó en ellos más la sospecha de que aquel que huía era el dueño de la mula y del cojín.
+Estándola mirando, oyeron un silbo como de pastor que guardaba ganado, y a deshora, a su siniestra mano, parecieron una buena cantidad de cabras, y tras ellas, por cima de la montaña, pareció el cabrero que las guardaba, que era un hombre anciano. Diole voces don Quijote, y rogóle que bajase donde estaban. Él respondió a gritos que quién les había traído por aquel lugar, pocas o ningunas veces pisado sino de pies de cabras o de lobos y otras fieras que por allí andaban. Respondióle Sancho que bajase, que de todo le darían buena cuenta. Bajó el cabrero, y, en llegando adonde don Quijote estaba, dijo:
+–Apostaré que está mirando la mula de alquiler que está muerta en esa hondonada. Pues a buena fe que ha ya seis meses que está en ese lugar. Díganme: ¿han topado por ahí a su dueño?
+–No hemos topado a nadie –respondió don Quijote–, sino a un cojín y a una maletilla que no lejos deste lugar hallamos.
+–También la hallé yo –respondió el cabrero–, mas nunca la quise alzar ni llegar a ella, temeroso de algún desmán y de que no me la pidiesen por de hurto; que es el
+diablo sotil, y debajo de los pies se levanta allombre cosa donde tropiece y caya, sin saber cómo ni cómo no.
+–Eso mesmo es lo que yo digo –respondió Sancho–: que también la hallé yo, y no quise llegar a ella con un tiro de piedra; allí la dejé y allí se queda como se estaba, que no quiero perro con cencerro.
+–Decidme, buen hombre –dijo don Quijote–, ¿sabéis vos quién sea el dueño destas prendas?
+–Lo que sabré yo decir –dijo el cabrero– es que «habrá al pie de seis meses, poco más a menos, que llegó a una majada de pastores, que estará como tres leguas deste lugar, un mancebo de gentil talle y apostura, caballero sobre esa mesma mula que ahí está muerta, y con el mesmo cojín y maleta que decís que hallastes y no tocastes. Preguntónos que cuál parte desta sierra era la más áspera y escondida; dijímosle que era esta donde ahora estamos; y es ansí la verdad, porque si entráis media legua más adentro, quizá no acertaréis a salir; y estoy maravillado de cómo habéis podido llegar aquí, porque no hay camino ni senda que a este lugar encamine. Digo, pues, que, en oyendo nuestra respuesta el mancebo, volvió las riendas y encaminó hacia el lugar donde le señalamos, dejándonos a todos contentos de su buen talle, y admirados de su demanda y de la priesa con que le víamos caminar y volverse hacia la sierra; y desde entonces nunca más le vimos, hasta que desde allí a algunos días salió al camino a uno de nuestros pastores, y, sin decille nada, se llegó a él y le dio muchas puñadas y coces, y luego se fue a la borrica del hato y le quitó cuanto pan y queso en ella traía; y, con estraña ligereza, hecho esto, se volvió a emboscar en la sierra. Como esto supimos algunos cabreros, le anduvimos a buscar casi dos días por lo más cerrado desta sierra, al cabo de los cuales le hallamos metido en el hueco de un grueso y valiente alcornoque. Salió a nosotros con mucha mansedumbre, ya roto el vestido, y el rostro disfigurado y tostado del sol, de tal suerte que apenas le conocíamos, sino que los vestidos, aunque rotos, con la noticia que dellos teníamos, nos dieron a entender que era el que buscábamos. Saludónos cortésmente, y en pocas y muy buenas razones nos dijo que no nos maravillásemos de verle andar de aquella suerte, porque así le convenía para cumplir cierta penitencia que por sus muchos pecados le había sido impuesta. Rogámosle que nos dijese quién era, mas nunca lo pudimos acabar con él. Pedímosle también que, cuando hubiese menester el sustento, sin el cual no podía pasar, nos dijese dónde le hallaríamos, porque con mucho amor y cuidado se lo llevaríamos; y que si esto tampoco fuese de su gusto, que, a lo menos, saliese a pedirlo, y no a quitarlo a los pastores. Agradeció nuestro ofrecimiento, pidió perdón de los asaltos pasados, y ofreció de pedillo de allí adelante por amor de Dios, sin dar molestia alguna a nadie. En cuanto lo que tocaba a la estancia de su habitación, dijo que no tenía otra que aquella que le ofrecía la ocasión donde le tomaba la noche; y acabó su plática con un tan tierno llanto, que bien fuéramos de piedra los que escuchado le habíamos, si en él no le acompañáramos, considerándole cómo le habíamos visto la vez primera, y cuál le veíamos entonces. Porque, como tengo dicho, era un muy gentil y agraciado mancebo, y en sus corteses y concertadas razones mostraba ser bien nacido y muy cortesana persona; que, puesto que éramos rústicos los que le escuchábamos, su gentileza era tanta, que bastaba a darse a conocer a la mesma rusticidad. Y, estando en lo mejor de su plática, paró y enmudecióse; clavó los ojos en el suelo por un buen espacio, en el cual todos estuvimos quedos y suspensos, esperando en qué había de parar aquel embelesamiento, con no poca lástima de verlo; porque, por lo que hacía de abrir los ojos, estar fijo mirando al suelo sin mover pestaña gran rato, y otras veces cerrarlos, apretando los labios y enarcando las cejas, fácilmente conocimos que algún accidente de locura le había sobrevenido. Mas él nos dio a entender presto ser verdad lo que pensábamos, porque se levantó con gran furia del suelo, donde se había echado, y arremetió con el primero que halló
+junto a sí, con tal denuedo y rabia que, si no se le quitáramos, le matara a puñadas y a bocados; y todo esto hacía, diciendo: ‘‘¡Ah, fementido Fernando! ¡Aquí, aquí me pagarás la sinrazón que me heciste: estas manos te sacarán el corazón, donde albergan y tienen manida todas las maldades juntas, principalmente la fraude y el engaño!’’ Y a éstas añadía otras razones, que todas se encaminaban a decir mal de aquel Fernando y a tacharle de traidor y fementido. Quitámossele, pues, con no poca pesadumbre, y él, sin decir más palabra, se apartó de nosotros y se emboscó corriendo por entre estos jarales y malezas, de modo que nos imposibilitó el seguille. Por esto conjeturamos que la locura le venía a tiempos, y que alguno que se llamaba Fernando le debía de haber hecho alguna mala obra, tan pesada cuanto lo mostraba el término a que le había conducido. Todo lo cual se ha confirmado después acá con las veces, que han sido muchas, que él ha salido al camino, unas a pedir a los pastores le den de lo que llevan para comer y otras a quitárselo por fuerza; porque cuando está con el accidente de la locura, aunque los pastores se lo ofrezcan de buen grado, no lo admite, sino que lo toma a puñadas; y cuando está en su seso, lo pide por amor de Dios, cortés y comedidamente, y rinde por ello muchas gracias, y no con falta de lágrimas. Y en verdad os digo, señores –prosiguió el cabrero–, que ayer determinamos yo y cuatro zagales, los dos criados y los dos amigos míos, de buscarle hasta tanto que le hallemos, y, después de hallado, ya por fuerza ya por grado, le hemos de llevar a la villa de Almodóvar, que está de aquí ocho leguas, y allí le curaremos, si es que su mal tiene cura, o sabremos quién es cuando esté en sus seso, y si tiene parientes a quien dar noticia de su desgracia». Esto es, señores, lo que sabré deciros de lo que me habéis preguntado; y entended que el dueño de las prendas que hallastes es el mesmo que vistes pasar con tanta ligereza como desnudez –que ya le había dicho don Quijote cómo había visto pasar aquel hombre saltando por la sierra.
+El cual quedó admirado de lo que al cabrero había oído, y quedó con más deseo de saber quién era el desdichado loco; y propuso en sí lo mesmo que ya tenía pensado: de buscalle por toda la montaña, sin dejar rincón ni cueva en ella que no mirase, hasta hallarle. Pero hízolo mejor la suerte de lo que él pensaba ni esperaba, porque en aquel mesmo instante pareció, por entre una quebrada de una sierra que salía donde ellos estaban, el mancebo que buscaba, el cual venía hablando entre sí cosas que no podían ser entendidas de cerca, cuanto más de lejos. Su traje era cual se ha pintado, sólo que, llegando cerca, vio don Quijote que un coleto hecho pedazos que sobre sí traía era de ámbar; por donde acabó de entender que persona que tales hábitos traía no debía de ser de ínfima calidad.
+En llegando el mancebo a ellos, les saludó con una voz desentonada y bronca, pero con mucha cortesía. Don Quijote le volvió las saludes con no menos comedimiento, y, apeándose de Rocinante, con gentil continente y donaire, le fue a abrazar y le tuvo un buen espacio estrechamente entre sus brazos, como si de luengos tiempos le hubiera conocido. El otro, a quien podemos llamar el Roto de la Mala Figura – como a don Quijote el de la Triste–, después de haberse dejado abrazar, le apartó un poco de sí, y, puestas sus manos en los hombros de don Quijote, le estuvo mirando, como que quería ver si le conocía; no menos admirado quizá de ver la figura, talle y armas de don Quijote, que don Quijote lo estaba de verle a él. En resolución, el primero que habló después del abrazamiento fue el Roto, y dijo lo que se dirá adelante.
+Capítulo 24: Donde se prosigue la aventura de la Sierra Morena
+Dice la historia que era grandísima la atención con que don Quijote escuchaba al astroso caballero de la Sierra, el cual, prosiguiendo su plática, dijo:
+-Por cierto, señor, quienquiera que seáis, que yo no os conozco, yo os agradezco las muestras y la cortesía que conmigo habéis usado, y quisiera yo hallarme en términos, que con más que la voluntad pudiera servir la que habéis mostrado tenerme, en el buen acogimiento que me habéis hecho; mas no quiere mi suerte darme otra cosa con que corresponda a las buenas obras que me hacen que buenos deseos de satisfacerlas.
+-Los que yo tengo -respondió don Quijote- son de serviros; tanto, que tenía determinado de no salir destas sierras hasta hallaros y saber de vos si al dolor que en la extrañeza de vuestra vida mostráis tener se podía hallar algún género de remedio; y si fuera menester buscarle, buscarle con la diligencia posible. Y cuando vuestra desventura fuera de aquellas que tienen cerradas las puertas a todo género de consuelo, pensaba ayudaros a llorarla y plañiría como mejor pudiera; que todavía es consuelo en las desgracias hallar quien se duela dellas. Y si es que mi buen intento merece ser agradecido con algún género de cortesía, yo os suplico, señor, por la mucha que veo que en vos se encierra, y juntamente os conjuro por la cosa que en esta vida más habéis amado o amáis, que me digáis quién sois y la causa que os ha traído a vivir y a morir entre estas soledades como bruto animal, pues moráis entre ellos tan ajeno de vos mismo cual lo muestra vuestro traje y persona. Y juro -añadió don Quijote- por la orden de caballería que recibí, aunque indigno y pecador, y por la profesión de caballero andante, que si en esto, señor, me complacéis, he de serviros con las veras a que me obliga el ser quien soy, ora remediando vuestra desgracia, si tiene remedio, ora ayudándoos a llorarla, como os lo he prometido.
+El Caballero del Bosque, que de tal manera oyó hablar al de la Triste Figura, no hacia sino mirarle, y remirarle, y tomarle a mirar de arriba abajo; y después que le hubo bien mirado, le dijo:
+-Si tienen algo que darme de comer, por amor de Dios que me lo den; que después de haber comido yo haré todo lo que se me manda, en agradecimiento de tan buenos deseos como aquí se me han mostrado.
+Luego sacaron, Sancho de su costal y el cabrero de su zurrón, con que satisfizo el Roto su hambre, comiendo lo que le dieron como persona atontada, tan apriesa, que no daba espacio de un bocado al otro, pues antes los engullía que tragaba; y en tanto que comía, ni él ni los que le miraban hablaba palabra. Como acabó de comer les hizo de señas que le siguiesen, como lo hicieron, y él los llevó a un verde pradecillo que a la vuelta de una peña poco desviada de allí estaba. En llegando a él, se tendió en el suelo, encima de la yerba, y los demás hicieron lo mismo, y todo
+esto sin que ninguno hablase, hasta que el Roto, después de haberse acomodado en su asiento, dijo:
+-Si gustáis, señores, que os diga en breves razones la inmensidad de mis desventuras, habéisme de prometer de que con ninguna pregunta, ni otra cosa, no interromperéis el hilo de mi triste historia; porque en el punto que lo hagáis, en ése se quedará lo que fuere contando.
+Estas razones del Roto trujeron a la memoria a don Quijote el cuento que le había contado su escudero, cuando no acertó el número de las cabras que habían pasado el río, y se quedó la historia pendiente. Pero, volviendo al Roto, prosiguió diciendo:
+-Esta prevención que hago es porque querría pasar brevemente por el cuento de mis desgracias; que el traerlas a la memoria no me sirve de otra cosa que añadir otras de nuevo, y mientras menos me preguntáredes, más presto acabaré yo de decillas, puesto que no dejaré por contar cosa alguna que sea de importancia para satisfacer del todo a vuestro deseo.
+Don Quijote se lo prometió en nombre de los demás, y él, con este seguro, comenzó desta manera:
+-Mi nombre es Cardenio: mi patria, una ciudad de las mejores desta Andalucía; mi linaje, noble; mis padres, ricos; mi desventura, tanta, que la deben de haber llorado mis padres, y sentido mi linaje, sin poderla aliviar con su riqueza; que para remediar desdichas del cielo poco suelen valer los bienes de fortuna. Vivía en esta mesma tierra un cielo, donde puso el amor toda la gloria que yo acertara a desearme: tal es la hermosura de Luscinda, doncella tan noble y tan rica como yo, pero de más ventura, y de menos firmeza de la que a mis honrados pensamientos se debía. A esta Luscinda amé, quise y adoré desde mis tiernos y primeros años, y ella me quiso a mi, con aquella sencillez y buen ánimo que su poca edad permitía. Sabían nuestros padres nuestros intentos, y no les pesaba dello, porque bien veían que, cuando pasaran adelante, no podían tener otro fin que el de casarnos, cosa que casi la concertaba la igualdad de nuestro linaje y riquezas. Creció la edad, y con ella el amor de entrambos, que al padre de Luscinda le pareció que por buenos respetos estaba obligado a negarme la entrada de su casa, casi imitando en esto a los padres de aquella Tisbe tan decantada de los poetas. Y fue esta negación añadir llama a llama y deseo a deseo; porque, aunque pusieron silencio a las lenguas, no le pudieron poner a las plumas, las cuales con más libertad que las lenguas suelen dar a entender a quien quieren lo que en el alma está encerrado; que muchas veces la presencia de la cosa amada turba y enmudece la intención más determinada y la lengua más atrevida. ¡Ay, cielos, y cuántos billetes le escribí! ¡Cuán regaladas y honestas respuestas tuve! ¡Cuántas canciones compuse y cuántos enamorados versos, donde el alma declaraba y trasladaba sus sentimientos, pintaba sus encendidos deseos, entretenía sus memorias y recreaba su voluntad! En efecto, viéndome apurado, y que mi alma se consumía con el deseo de verla, determiné poner por obra y acabar en un punto lo que me pareció que más convenía para salir con mi deseado y merecido premio, y fue el pedírsela a su padre por legítima esposa, como lo hice; a lo que él me respondió que me agradecía la voluntad que mostraba de honralle, y de querer honrarme con prendas suyas; pero que siendo mi padre vivo, a él tocaba de justo derecho hacer aquella demanda; porque si no fuese con mucha voluntad y gusto suyo, no era Luscinda mujer para tomarse ni darse a hurto. Yo le agradecí su buen intento, pareciéndome que llevaba razón en lo que decía, y que mi padre vendría en ello como yo se lo dijese; y con este intento, luego en aquel mismo instante fui a decirle a mi padre lo que deseaba. Y al tiempo que entré en un aposento donde estaba, Le hallé con una carta abierta en la mano, la cual, antes que yo le dijese palabra, me la dio, y me
+dijo: «Por esta carta verás, Cardenio, la voluntad que el duque Ricardo tiene de hacerte merced.» Este duque Ricardo, como ya vosotros, señores, debéis de saber, es un grande de España que tiene su estado en lo mejor desta Andalucía. Tomé y leí la carta, la cual venía tan encarecida, que a mi mesmo me pareció mal si mi padre dejaba de cumplir lo que en ella se le pedía, que era que me enviase luego donde él estaba; que quería que fuese compañero, no criado, de su hijo el mayor, y que él tomaba a cargo el ponerme en estado que correspondiese a la estimación en que me tenía. Leí la carta y enmudecí leyéndola, y más cuando oí que mi padre me decía: «De aquí a dos días te partirás, Cardenio, a hacer la voluntad del duque, y da gracias a Dios, que te va abriendo camino por donde alcances lo que yo sé que mereces.» Añadió a éstas otras razones de padre consejero. Llegóse el término de mi partida, hablé una noche a Luscinda, dijele todo lo que pasaba, y lo mesmo hice a su padre, suplicándole se entretuviese algunos días y dilatase el darle estado hasta que yo viese lo que Ricardo me quería; él me lo prometió, y ella me lo confirmó con mil juramentos y mil desmayos. Vine, en fin, donde el duque Ricardo estaba. Fui dél tan bien recebido y tratado, que desde luego comenzó la envidia a hacer su oficio, teniéndomela los criados antiguos, pareciéndoles que las muestras que el duque daba de hacerme merced habían de ser en perjuicio suyo. Pero el que más se holgó con mi idea fue un hijo segundo del duque, llamado Fernando, mozo gallardo, gentil hombre, liberal y enamorado, el cual, en poco tiempo, quiso que fuese tan su amigo, que daba que decir a todos; y aunque el mayor me quería bien y me hacía merced, no llegó al extremo con que don Fernando me quería y trataba. Es, pues, el caso que, como entre los amigos no hay cosa secreta que no se comunique, y la privanza que yo tenía con don Fernando dejaba de serlo, por ser amistad, todos sus pensamientos me declaraba, especialmente uno enamorado, que le traía con un poco de desasosiego. Quería bien a una labradora, vasalla de su padre, y ella los tenía muy ricos, y era tan hermosa, recatada, discreta y honesta, que nadie que la conocía se determinaba en cuál destas cosas tuviese más excelencia, ni más se aventajase. Estas tan buenas partes de la hermosa labradora redujeron a tal término los deseos de don Fernando, que se determinó, para poder alcanzarlo y conquistar la entereza de la labradora, a darle palabra de ser su esposo; porque de otra manera era procurar lo imposible. Yo, obligado de su amistad, con las mejores razones que supe, y con los más vivos ejemplos que pude, procuré estorbarle y apartarle de tal propósito; pero viendo que no aprovechaba, determiné de decirle el caso al duque Ricardo, su padre; mas don Femando, como astuto y discreto, se receló y temió desto, por parecerle que estaba yo obligado, en vez de buen criado, a no tener encubierta cosa que tan en perjuicio de la honra de mi señor el duque venia; y así, por divertirme y engañarme, me dijo que no hallaba otro mejor remedio para poder apartar de la memoria la hermosura que tan sujeto le tenía, que el ausentarse por algunos meses, y que quería que el ausencia fuese que los dos nos viniésemos en casa de mi padre, con ocasión que dirían al duque que venia a ver y a feriar unos muy buenos caballos que en mi ciudad había, que es madre de los mejores del mundo. Apenas le oí yo decir esto, cuando, movido de mi afición, aunque su determinación no fuera tan buena, la aprobara yo por una de las más acertadas que se podían imaginar, por ver cuán buena ocasión y coyuntura se me ofrecía de volver a ver a mi Luscinda. Con este pensamiento y deseo, aprobé su parecer y esforcé su propósito, diciéndole que lo pusiese por obra con la brevedad posible, porque, en efeto, la ausencia hacía su oficio, a pesar de los más firmes pensamientos. Ya, cuando él me vino a decir esto, según después se supo, había gozado a la labradora con título de esposo, y esperaba ocasión de descubrirse a su salvo, temeroso de lo que el duque su padre haría cuando supiese su disparate. Sucedió, pues, que, como el amor en los mozos, por la mayor parte, no lo es, sino apetito, el cual, como tiene por último fin el deleite, en llegando a alcanzarle se acaba (y ha de volver atrás aquello que parecía amor, porque no puede pasar adelante del término que le puso naturaleza, el cual término no le puso a lo que es verdadero amor), quiero decir que así como don Fernando gozó a la labradora, se le aplacaron sus deseos y se resfriaron sus
+ahíncos; y si primero fingía quererse ausentar, por remediarlos, ahora de veras procuraba irse, por no ponerlos en ejecución Diole el duque licencia, y mandóme que le acompañase. Venimos a mi ciudad, recibióle mi padre como quien era, vi yo luego a Luscinda, tornaron a vivir, aunque no habían estado muertos, ni amortiguados, mis deseos, de los cuales di cuenta, por mi mal, a don Fernando, por parecerme que, en la ley de la mucha amistad que mostraba, no le debía encubrir nada. Alabéle la hermosura, donaire y discreción de Luscinda, de tal manera que mis alabanzas movieron en el los deseos de querer ver doncella dé tan buenas partes adornada. Cumpliselos yo, por mi corta suerte, enseñándosela una noche, a la luz de una vela, por una ventana por donde los dos solíamos hablarnos. Viola en sayo, tal, que todas las bellezas hasta entonces por él vistas las puso en olvido. Enmudeció, perdió el sentido, quedó absorto, y, finalmente, tan enamorado, cual lo veréis en el discurso del cuento de mi desventura. Y para encenderle más el deseo, que a mí me celaba, y al cielo, a solas, descubría, quiso la fortuna que hallase un día un billete suyo pidiéndome que la pidiese a su padre por esposa, tan discreto, tan honesto y tan enamorado, que en leyéndolo me dijo que en sola Luscinda se encerraban todas las gracias de hermosura y de entendimiento que en las demás mujeres del mundo estaban repartidas. Bien es verdad que quiero confesar ahora que, puesto que yo veía con cuán justas causas don Fernando a Luscinda alababa, me pesaba de oír aquellas alabanzas de su boca, y comencé a temer, y a recelarme dél, porque no se pasaba momento donde no quisiese que tratásemos de Luscinda, y él movía la plática, aunque la trujese por los cabellos; cosa que despertaba en mí un no sé qué de celos, no porque yo temiese revés alguno de la bondad y de la fe de Luscinda; pero, con todo eso, me hacia temer mi suerte lo mesmo que ella me aseguraba. Procuraba siempre «don Fernando leer los papeles que yo a Luscinda enviaba, y los que ella me respondía, a título que de la discreción de los dos gustaba mucho. Acaeció, pues, que habiéndome pedido Luscinda un libro de caballerías en que leer, de quien era ella muy aficionada, que era el de Amadís de Gaula...
+No hubo bien oído don Quijote nombrar libro de caballerías, cuando dijo:
+-Con que me dijera vuestra merced al principio de su historia que su merced de la señora Luscinda era aficionada a libros de caballerías, no fuera menester otra exageración para darme a entender la alteza de su entendimiento; porque no le tuviera tan bueno como vos, señor, le habéis pintado, si careciera del gusto de tan sabrosa leyenda: así que para conmigo no es menester gastar más palabras en declararme su hermosura, valor y entendimiento; que, con sólo haber entendido su afición, la confirmo por la más hermosa y más discreta mujer del mundo. Y quisiera yo, señor, que vuestra merced le hubiera enviado junto con Amadís de Gaula al bueno de Don Rugel de Grecia; que yo sé que gustara la señora Luscinda mucho de Daraida y Garaya, y de las discreciones del pastor Darinel y de aquellos admirables versos de sus bucólicas, cantadas y representadas por él con todo donaire, discreción y desenvoltura. Pero tiempo podrá venir en el que se enmiende esa falta, y no durará más en hacerse la enmienda de cuanto quiera vuestra merced ser servido de venirse conmigo a mi aldea; que allí le podré dar más de trecientos libros, que son el regalo de mi alma y el entretenimiento de mi vida; aunque tengo para mí que ya no tengo ninguno, merced a la malicia de malos y envidiosos encantadores. Y perdóneme vuestra merced de haber contravenido a lo que prometimos de no interromper su plática, pues, en oyendo cosas de caballerías y de caballeros andantes, así es en mi mano dejar de hablar en ellos como lo es en la de los rayos del sol dejar de calentar, ni humedecer en los de la luna. Así que, perdón, y proseguir, que es lo que ahora hace más al caso.
+En tanto que don Quijote estaba diciendo lo que queda dicho, se le había caído a Cardenio la cabeza sobre el pecho, dando muestras de estar profundamente pensativo. Y, puesto que dos veces le dijo don Quijote que prosiguiese su historia,
+ni alzaba la cabeza, ni respondía palabra; pero al cabo de un buen espacio la levantó y dijo:
+-No se me puede quitar del pensamiento, ni habrá quien me lo quite en el mundo, ni quien me dé a entender otra cosa, y sería un majadero el que lo contrario entendiese o creyese, sino que aquel bellaconazo del maestro Elisabat estaba amancebado con la reina Madásima.
+-Eso no, ¡voto a tal! -respondió con mucha cólera don Quijote, y arrojóle, como tenía de costumbre-; y ésa es una muy gran malicia, o bellaquería, por mejor decir: la reina Madásima fue muy principal señora, y no se ha de presumir que tan alta princesa se había de amancebar con un sacapotras; y quien lo contrario entendiere, miente como muy gran bellaco. Y yo se lo daré a entender, a pie o a caballo, armado o desarmado, de noche o de día, o como más gusto le diere.
+Estabale mirando Cardenio muy atentamente, al cual ya había venido el accidente de su locura y no estaba para proseguir su historia; ni tampoco don Quijote se la oyera, según le había disgustado lo que de Madásima le había oído. ¡Extraño caso; que así volvió por ella como si verdaderamente fuera su verdadera y natural señora: tal le tenían sus descomulgados libros! Digo, pues. que, como ya Cardenio estaba loco, y se oyó tratar de mentís y de bellaco, con otros denuestos semejantes, parecióle mal la burla, y alzó un guijarro que halló junto a sí, y dio con él en íos pechos tal golpe a don Quijote, que le hizo caer de espaldas. Sancho Panza, que de tal modo vio parar a su señor, arremetió al loco con el puño cerrado, y el Roto le recibió de tal suerte, que con una puñada dio con él a sus pies, y luego se subió sobre él y le brumó las costillas muy a su sabor. El cabrero, que le quiso defender, corrió el mesmo peligro. Y después que los tuvo a todos rendidos y molidos, los dejó, y se fue con gentil sosiego a emboscarse en la montaña.
+Levantóse Sancho, y con la rabia que tenía de verse aporreado tan sin merecerlo, acudió a tomar la venganza del cabrero, diciéndole que él tenía la culpa de no haberles avisado que a aquel hombre le tomaba a tiempos la locura; que si esto supieran, hubieran estado sobre aviso para poderse guardar. Respondió el cabrero que ya lo había dicho, y que si él no lo había oído, que no era suya la culpa. Replicó Sancho Panza, y tomó a replicar el cabrero, y fue el fin de las réplicas asirse de las barbas y darse tales puñadas, que si don Quijote no los pusiera en paz, se hicieran pedazos. Decía Sancho, asido con el cabrero:
+-Déjeme vuestra merced, señor Caballero de la Triste Figura; que en éste, que es villano como yo y no está armado caballero, bien puedo a mi salvo satisfacerme del agravio que me ha hecho, peleando con él mano a mano, como hombre honrado.
+-Así es -dijo don Quijote-; pero yo sé que él no tiene ninguna culpa de lo sucedido.
+Con esto los apaciguó, y don Quijote volvió a preguntar al cabrero si sería posible hallar a Cardenio, porque quedaba con grandísimo deseo de saber el fin de su historia. Díjole el cabrero lo que primero le había dicho, que era no saber de cierto su manida; pero que si anduviese mucho por aquellos contornos, no dejaría de hallarle, o cuerdo o loco.
+Capítulo 25: Que trata de las extra Ras cosas que en Sierra Morena sucedieron al valiente caballero de la Mancha, y de la imitación que hizo a la penitencia de Beltenebros
+Despidióse del cabrero don Quijote y, subiendo otra vez sobre Rocinante, mandó a Sancho que le siguiese, el cual lo hizo, con su jumento, de muy mala gana. Ibanse poco a poco entrando en lo más áspero de la montaña, y Sancho iba muerto por razonar con su amo y deseaba que él comenzase la plática, por no contravenir a lo que le tenía mandado; mas, no pudiendo sufrir tanto silencio, le dijo:
+-Señor don Quijote, vuestra merced me eche su bendición y me dé licencia; que desde aquí me quiero volver a mi casa, y a mi mujer, y a mis hijos, con los cuales, por lo menos, hablaré y departiré todo lo que quisiere; porque querer vuestra merced que vaya con él por estas soledades de día y de noche, y que no le hable cuando me diere gusto, es enterrarme en vida. Si ya quisiera la suerte que los animales hablaran, como hablaban en tiempo de Guisopete, fuera menos mal, porque departiera yo con mi jumento lo que me viniera en gana, y con esto pasara mi mala ventura; que es recia cosa, y que no se puede llevar en paciencia, andar buscando aventuras toda la vida, y no hallar sino coces y manteamientos, ladrillazos y puñadas, y, con todo esto, nos hemos de coser la boca, sin osar decir lo que el hombre tiene en su corazón, como si fuera mudo.
+-Ya te entiendo, Sancho -respondió don Quijote-: tú mueres porque te alce el entredicho que te tengo puesto en la lengua. Dale por alzado y di lo que quisieres, con condición que no ha de durar este alzamiento más de en cuanto anduviéremos por estas sierras.
+-Sea ansí -dijo Sancho-; hable yo ahora, que después Dios sabe lo que será; y comenzando a gozar de ese salvoconducto, digo que ¿qué le iba a vuestra merced en volver tanto por aquella reina Magimasa, o como se llama? O ¿qué hacía al caso que aquel abad fuese su amigo o no? Que si vuestra merced pasara con ello, pues no era su juez, bien creo yo que el loco pasará adelante con su historia, y se hubieran ahorrado el golpe del guijarro, y las coces, y aun más de seis torniscones.
+-A fe, Sancho -respondió don Quijote-, que si tú supieras, como yo lo sé, cuán honrada y cuán principal señora era la reina Madásima, yo sé que dijeras que tuve mucha paciencia, pues no quebré la boca por donde tales blasfemias salieron. Porque es muy gran blasfemia decir ni pensar que una reina esté amancebada con un cirujano. La verdad del cuento es que aquel maestro Elisabat que el loco dijo, fue un hombre muy prudente y de muy sanos consejos, y sirvió de ayo y de médico a la reina; pero pensar que ella era su amiga es disparate, digno de muy gran castigo. Y porque veas que Cardenio no supo lo que dijo, has de advertir que cuando lo dijo ya estaba sin juicio.
+-Eso digo yo -dijo Sancho-: que no había para qué hacer cuenta de las palabras de un loco; porque si la buena suerte no ayudara a vuestra merced, y encaminara el guijarro a la cabeza como le encaminó al pecho, buenos quedáramos por haber vuelto por aquella mi señora que Dios cohonda. Pues ¡montas que no se librara Cardenio por loco!
+-Contra cuerdos y contra locos está obligado cualquier caballero andante a volver por la honra de las mujeres, cualesquiera que sean, cuanto más por las reinas de tan alta guisa y pro como fue la reina Madásima, a quien yo tengo particular afición por sus buenas partes; porque fuera de haber sido fermosa, además fue muy prudente y muy sufrida en sus calamidades, que las tuvo muchas; y los consejos y compañía del maestro Elisabat le fue y le fueron de mucho provecho y alivio para poder llevar sus trabajos con prudencia y paciencia. Y de aquí tomó ocasión el vulgo ignorante y mal intencionado de decir y pensar que ella era su manceba; y mienten, digo, otra vez, y mentirán otras docientas, todos los que tal pensaren y dijeren.
+-Ni yo lo digo ni lo pienso –respondió Sancho-; allá se lo hayan; con su pan se lo coman; si fueron amancebados, o no, a Dios habrán dado la cuenta; de mis viñas vengo, no sé nada; no soy amigo de saber vidas ajenas; que el que compra y miente, en su bolsa lo siente. Cuanto más, que desnudo nací, desnudo me hallo: ni pierdo ni gano; mas que lo fuesen, ¿qué me va a mí? Y muchos piensan que hay tocinos, y no hay estacas. Mas ¿quién puede poner puertas al campo? Cuanto más, que de Dios dijeron.
+-¡Válame Dios -dijo don Quijote-, y qué de necedades vas, Sancho, ensartando! ¿Qué va de lo que tratamos a los refranes que enhilas? Por tu vida, Sancho, que calles, y de aquí adelante entremétete en espolear a tu asno, y deja de hacello en lo que no te importa. Y entiende con todos tus cinco sentidos que todo cuanto yo he hecho, hago e hiciere, va muy puesto en razón y muy conforme a las reglas de caballería, que las sé mejor que cuantos caballeros las profesaron en el mundo.
+Señor respondió Sancho-, y ¿es buena regla de caballería que andemos perdidos por estas montañas, sin senda ni camino, buscando a un loco, el cual, después de hallado, quizá le vendrá en voluntad de acabar lo que dejó comenzado, no de su cuento, sino de la cabeza de vuestra merced y de mis costillas, acabándonoslas de romper de todo punto?
+-Calla, te digo otra vez, Sancho -dijo don Quijote-; porque te hago saber que no sólo me trae por estas partes el deseo de hallar al loco, cuanto el que tengo de hacer en ellas una hazaña, con que he de ganar perpetuo nombre y fama en todo lo descubierto de la tierra; y será tal, que he de echar con ella el sello a todo aquello que puede hacer perfecto y famoso a un andante caballero.
+-Y ¿es de muy gran peligro esa hazaña? -preguntó Sancho Panza.
+-No -respondió el de la Triste Figura-; puesto que de tal manera podía correr el dado, que echásemos azar en lugar de encuentro, pero todo ha de estar en tu diligencia.
+-¿En mi diligencia? -dijo Sancho.
+-Sí -dijo don Quijote-; porque si vuelves presto de adonde pienso enviarte, presto se acabará mi pena, y presto comenzará mi gloria. Y porque no es bien que te tenga más suspenso, esperando en lo que han de parar mis razones, quiero, Sancho, que sepas que el famoso Amadís de Gaula fue uno de los más perfectos
+caballeros andantes. No he dicho bien fue uno: fue el solo, el primero, el único, el señor de todos cuantos hubo en su tiempo en el mundo. Mal año y mal mes para don Belianís y para todos aquellos que dijeren que se le igualó en algo, porque se engañan, juro cierto. Digo asimismo que, cuando algún pintor quiere salir famoso en su arte, procura imitar los originales de los más únicos pintores que sabe; y esta mesma regla corre por todos los más oficios o ejercicios de cuenta que sirven para adorno de las repúblicas, y así lo ha de haber y hacer el que quiere alcanzar nombre de prudente y sufrido, imitando a Ulises, en cuya persona y trabajos nos pinta Homero un retrato vivo de prudencia y de sufrimiento, como también nos mostró Virgilio, en persona de Eneas, el valor de un hijo piadoso y la sagacidad de un valiente y entendido capitán, no pintándolos ni describiéndolos como ellos fueron, sino como habían de ser, para quedar ejemplo a los venideros hombres de sus virtudes. Desta mesma suerte, Amadís fue el norte, el lucero, el sol de los valientes y enamorados caballeros, a quien debemos de imitar todos aquellos que debajo de la bandera de amor y de la caballería militamos. Siendo, pues, esto ansí, como lo es, hallo yo, Sancho amigo, que el caballero andante que más le imitare estará más cerca de alcanzar la perfección de la caballería. Y una de las cosas en que más este caballero mostró su prudencia, valor, valentía, sufrimiento, firmeza y amor, fue cuando se retiró, desdeñado de la señora Oriana, a hacer penitencia en la Peña Pobre, mudado su nombre en el de Beltenebros, nombre, por cierto, significativo y proprio para la vida que el de su voluntad había escogido. Ansí que me es a mi más fácil imitarle en esto que no en hender gigantes, descabezar serpientes, matar endriagos, desbaratar ejércitos, fracasar armadas y deshacer encantamentos. Y pues estos lugares son tan acomodados para semejantes efectos, no hay para qué se deje pasar la ocasión, que ahora con tanta comodidad me ofrece sus guedejas.
+-En efecto -dijo Sancho-, ¿qué es lo que vuestra merced quiere hacer en este tan remoto lugar?
+-¿Ya no te he dicho -respondió don Quijote- que quiero imitar a Amadís, haciendo aquí del desesperado, del sandio y del furioso, por imitar juntamente al valiente don Roldán, cuando halló en una fuente las señales de que Angélica la Bella había cometido vileza con Medoro; de cuya pesadumbre se volvió loco, y arrancó los árboles, enturbió las aguas de las claras fuentes, mató pastores, destruyó ganados, abrasó chozas, derribó casas, arrastró yeguas, y hizo otras cien mil insolencias, dignas de eterno nombre y escritura? Y, puesto que yo no pienso imitar a Roldán, o Orlando, o Rotolando (que todos estos tres nombres tenía), parte por parte, en todas las locuras que hizo, dijo y pensó, haré el bosquejo, como mejor pudiere, en las que me pareciere ser más esenciales. Y podrá ser que viniese a contentarme con sola la imitación de Amadís, que sin hacer locuras de daño, sino de lloros y sentimientos, alcanzó tanta fama como el que más.
+-Paréceme a mi -dijo Sancho- que los caballeros que lo tal ficieron fueron provocados y tuvieron causa para hacer esas necedades y penitencias; pero vuestra merced, ¿qué causa tiene para volverse loco? ¿Qué dama le ha desdeñado, o qué señales ha hallado que le den a entender que la señora Dulcinea del Toboso ha hecho alguna niñería con moro o cristiano?.
+-Ahí está el punto -respondió don Quijote-, y ésa es la fineza de mi negocio; que volverse loco un caballero andante con causa, ni grado ni gracias: el toque está en desatinar sin ocasión y dar a entender a mi dama que si en seco hago esto, ¿qué hiciera en mojado? Cuanto más, que harta ocasión tengo en la larga ausencia que he hecho de la siempre señora mía Dulcinea del Toboso; que, como ya oíste decir a aquel pastor de marras, Ambrosio, quien está ausente todos los males tiene y teme. Así que, Sancho amigo, no gastes tiempo en aconsejarme que deje tan rara, tan felice y tan no vista imitación. Loco soy, loco he de ser hasta tanto que tú
+vuelvas con la respuesta de una carta que contigo pienso enviar a mi señora Dulcinea: y si fuere tal cual a mi fe se le debe, acabarse ha mi sandez y mi penitencia; y si fuere al contrario, seré loco de veras, y, siéndolo, no sentiré nada. Ansí que de cualquiera manera que responda, saldré del conflicto y trabajo en que me dejares, gozando el bien que me trujeres, por cuerdo, o no sintiendo el mal que me aportares, por loco. Pero dime, Sancho, ¿traes bien guardado el yelmo de Mambrino, que ya vi que le alzaste del suelo cuando aquel desagradecido le quiso hacer pedazos? Pero no pudo; donde se puede echar de ver la fineza de su temple.
+A lo cual respondió Sancho:
+-Vive Dios, señor Caballero de la Triste Figura, que no puedo sufrir ni llevar en paciencia algunas cosas que vuestra merced dice, y que por ellas vengo a imaginar que todo cuanto me dice de caballerías, y de alcanzar reinos e imperios, de dar ínsulas, y de hacer otras mercedes y grandezas, como es uso de caballeros andantes, que todo debe de ser cosa de viento y mentira, y todo pastraña, o patraña, o como lo llamáremos. Porque quien oyere decir a vuestra merced que una bacía de barbero es el yelmo de Mambrino, y que no salga deste error en más de cuatro días, ¿qué ha de pensar sino que quien tal dice y afirma debe de tener güero el juicio? La bacía yo la llevo en el costal, toda abollada, y llevóla para aderezarla en mi casa y hacerme la barba en ella, si Dios me diere tanta gracia, que algún día me vea con mi mujer y hijos.
+-Mira, Sancho, por el mismo que denantes juraste, te juro -dijo don Quijote- que tienes el más corto entendimiento que tiene ni tuvo escudero en el mundo. ¿Que es posible que en cuanto ha que andas conmigo no has echado de ver que todas las cosas de los caballeros andantes parecen quimeras, necedades y desatinos, y que son todas hechas al revés? Y no porque sea ello ansí, sino porque andan entre nosotros siempre una caterva de encantandores que todas nuestras cosas mudan y truecan, y las vuelven según su gusto, y según tienen la gana de favorecernos o destruirnos: y así. eso que a ti te parece bacía de barbero me parece a mi el yelmo de Mambrino, y a otro le parecerá otra cosa. Y fue rara providencia del sabio que es de mi parte hacer que parezca bacía a todos lo que real y verdaderamente es yelmo de Mambrino, a causa que, siendo él de tanta estima, todo el mundo me perseguiría por quitármele; pero como ven que no es más de un bacín de barbero, no se curan de procuralle, como se mostró bien en el que quiso rompelle y le dejó en el suelo sin llevarle; que a fe que si le conociera, que nunca él le dejara. Guárdale, amigo, que por ahora no le he menester; que antes me tengo de quitar todas estas armas, y quedar desnudo como cuando nací, si es que me da en voluntad de seguir en mi penitencia más a Roldán que a Amadís.
+Llegaron en estas pláticas al pie de una alta montaña, que, casi como peñón tajado, estaba sola entre otras muchas que la rodeaban. Corría por su falda un manso arroyuelo, y hacíase por toda su redondez un prado tan verde y vicioso, que daba contento a los ojos que le miraban. Había por allí muchos árboles silvestres y algunas plantas y flores, que hacían el lugar apacible. Este sitio escogió el Caballero de la Triste Figura para hacer su penitencia; y así, en viéndole, comenzó a decir en voz alta, como si estuviera sin juicio:
+-Este es el lugar, ¡oh cielos!, que diputo y escojo para llorar la desventura en que vosotros mesmos me habéis puesto. Este es el sitio donde el humor de mis ojos acrecentará las aguas deste pequeño arroyo, y mis continuos y profundos sospiros moverán a la continua las hojas destos montaraces árboles, en testimonio y senal de la pena que mi asendereado corazón padece. ¡Oh vosotros, quienquiera que seáis, rústicos dioses que en este inhabitable lugar tenéis vuestra morada, oíd las quejas deste desdichado amante, a quien una luenga ausencia y unos imaginados
+celos han traído a lamentarse entre estas asperezas, y a quejarse de la dura condición de aquella ingrata y bella, término y fin de toda humana hermosura! ¡Oh vosotras, napeas y dríadas, que tenéis por costumbre de habitar en las espesuras de los montes, así los ligeros y lascivos sátiros, de quien sois, aunque en vano, amadas, no perturben jamás vuestro dulce sosiego, que me ayudéis a lamentar mi desventura, o, a lo menos, no os canséis de oílla! ¡Oh Dulcinea del Toboso, día de mi noche, gloria de mi pena. norte de mis caminos, estrella de mi ventura, así el cielo te la dé buena en cuanto acertares a pedirle, que consideres el lugar y el estado a que tu ausencia me ha conducido, y que con buen término correspondas al que a mi fe se le debe! ¡Oh solitarios árboles, que desde hoy en adelante habéis de hacer compañía a mi soledad, dad indicio, con el blando movimiento de vuestras ramas, que no os desagrade mi presencia! ¡Oh tu, escudero mío, agradable compañero en mis prósperos y adversos sucesos, toma bien en la memoria lo que aquí me verás hacer, para que lo cuentes y recites a la causa total de todo ello!
+Y diciendo esto, se apeó de Rocinante, y en un momento le quitó el freno y la silla; y, dándole una palmada en las ancas, le dijo;
+-Libertad te da el que sin ella queda, ¡oh caballo tan extremado por tus obras cuan desdichado por tu suerte! Vete por do quisieres; que en la frente llevas escrito que no te igualó en ligereza el Hipogrifo de Astolfo, ni el nombrado Frontino, que tan caro le costó a Bradamante.
+Viendo esto Sancho, dijo:
+-Bien haya quien nos quitó ahora del trabajo de desenalbardar al rucio, que a fe que no faltaran palmadicas que dalle, ni cosas que decille en su abalanza; pero si él aquí estuviera, no consintiera yo que nadie le desalbardara, pues no había para qué; que a él no le tocaban las generales de enamorado ni de desesperado, pues no lo estaba su amo, que era yo, cuando Dios quería. Y en verdad, señor Caballero de la Triste Figura, que si es que mi partida y su locura de vuestra merced va de veras, que será bien tornar a ensillar a Rocinante, para que supla la falta del rucio, porque será ahorrar tiempo a mi ida y vuelta; que si la hago a pie, no sé cuándo llegaré, ni cuándo volveré, porque, en resolución, soy mal caminante.
+-Digo, Sancho -respondió don Quijote-, que sea como tú quisieres, que no me parece mal tu designio; y digo que de aquí a tres días te partirás, porque quiero que en este tiempo veas lo que por ella hago y digo, para que se lo digas.
+-Pues ¿qué más tengo de ver -dijo Sancho- que lo que he visto?
+-¡Bien estás en el cuento! -respondió don Quijote-. Ahora me falta rasgar las vestiduras, esparcir las armas, y darme de calabazadas por estas peñas, con otras cosas deste jaez, que te han de admirar.
+-Por amor de Dios -dijo Sancho-, que mire vuestra merced cómo se da esas calabazadas; que a tal peña podrá llegar, y en tal punto, que con la primera se acabase la máquina desta penitencia; y seria yo de parecer que, ya que a vuestra merced le parece que son aquí necesarias calabazadas y que no se puede hacer esta obra sin ella, se contentase, pues todo esto es fingido y cosa contrahecha y de burla, se contentase, digo. con dárselas en el agua, o en alguna cosa blanda, como algodón; y déjeme a mi el cargo, que yo diré a mi señora que vuestra merced se las daba en una punta de peña, más dura que la de un diamante.
+-Yo agradezco tu buena intención, amigo Sancho -respondió don Quijote-; mas quiérote hacer sabidor de que todas estas cosas que hago no son de burlas, sino
+muy de veras; porque de otra manera, seria contravenir a las órdenes de caballería, que nos mandan que no digamos mentira alguna, pena de relasos, y el hacer una cosa por otra lo mesmo es que mentir. Ansí que mis calabazadas han de ser verdaderas, firmes y valederas, sin que llevan nada del sofistico ni del fantástico. Y será necesario que me dejes algunas hilas para curarme, pues que la ventura quiso que nos faltase el bálsamo que perdimos.
+-Más fue perder el asno -respondió Sancho-, pues se perdieron en él las hilas y todo. Y ruégole a vuestra merced que no se acuerde mas de aquel maldito brebaje; que en solo oírle mentar se me revuelve el alma, no que el estómago. Y más le ruego: que haga cuenta que son ya pasados los tres días que me ha dado de término para ver las locuras que hace, que ya las doy por vistas y por pasadas en cosa juzgada, y diré maravillas a mi señora; y escriba la carta y despácheme luego, porque tengo gran deseo de volver a sacar a vuestra merced deste purgatorio donde le dejo.
+-¿Purgatorio le llamas, Sancho? -dijo don Quijote-. Mejor hicieras en llamarle infierno, y aun peor, si hay otra cosa que lo sea.
+-Quien ha infierno -respondió Sancho- nula es retencio, según he oído decir. -No entiendo qué quiere decir retencio -dijo don Quijote.
+-Retencio es -respondió Sancho- que quién está en el infierno nunca sale de él, ni puede. Lo cual será al revés en vuestra merced, o a mí me andarán mal los pies, si es que llevo espuelas para avivar a Rocinante; y póngame yo por una en el Toboso, y delante de mi señora Dulcinea; que yo le diré tales cosas de las necedades y locuras, que todo es uno, que vuestra merced ha hecho y queda haciendo, que la venga a poner más blanda que un guante, aunque la halle más dura que un alcornoque; con cuya respuesta dulce y melificada volveré por los aires como brujo, y sacaré a vuestra merced deste purgatorio, que parece infierno y no lo es, pues hay esperanza de salir dél, la cual, como tengo dicho, no la tienen de salir los que están en el infierno, ni creo que vuestra merced dirá otra cosa.
+-Así es verdad -dijo el de la Triste Figura-; pero ¿qué haremos para escribir la carta?
+-¿Y la libranza pollinesca también? -añadió Sancho.
+-Todo irá inserto -dijo don Quijote-; y seda bueno, ya que no hay papel, que la escribiésemos, como hacían los antiguos, en hojas de árboles, o en unas tablitas de cera; aunque tan dificultoso será hallarse eso ahora como el papel. Mas ya me ha venido a la memoria dónde será bien, y aun más que bien, escribilla; que es en el librillo de memoria que fue de Cardenio, y tú tendrás cuidado de hacerla trasladar en papel, de buena letra, en el primer lugar que hallares, donde haya maestro de escuela de muchachos, o si no, cualquiera sacristán te la trasladará; y no se la des a trasladar a ningún escribano, que hacen letra procesada, que no la entenderá Satanás.
+-Pues ¿qué se ha de hacer de la firma? -dijo Sancho.
+-Nunca las cartas de Amadís se firmaron -respondió don Quijote.
+-Está bien -respondió Sancho-; pero la libranza forzosamente se ha de firmar, y ésa si se traslada, dirán que la firma es falsa, y quedaréme sin pollinos.
+-La libranza irá en el mesmo librillo firmada; que en viéndola mi sobrina, no pondrá dificultad en cumplilla. Y en lo que toca a la carta de amores, pondrás por firma: «Vuestro hasta la muerte, el Caballero de la Triste Figura.» Y hará poco al caso que vaya de mano ajena, porque, a lo que yo me sé acordar, Dulcinea no sabe escribir ni leer, y en toda su vida ha visto letra mía ni carta mía, porque mis amores y los suyos han sido siempre platónicos, sin extenderse a más que a un honesto mirar. Y aun esto, tan de cuando en cuando, que osaré jurar con verdad que en doce años que ha que la quiero más que a la lumbre destos ojos que han de comer la tierra, no la he visto cuatro veces; y aun podrá ser que destas cuatro veces no hubiese ella echado de ver la una que la miraba: tal es el recato y encerramiento con que su padre, Lorenzo Corchuelo, y su madre, Aldonza Nogales, la han criado.
+-¡Ta, ta! -dijo Sancho-. ¿Que la hija de Lorenzo Corchuelo es la señora Dulcinea del Toboso, llamada por otro nombre Aldonza Lorenzo?
+-Esa es -dijo don Quijote-, y es la que merece ser señora de todo el universo.
+-Bien la conozco -dijo Sancho-, y sé decir que tira tan bien una barra como el más forzudo zagal de todo el pueblo. ¡Vive el Dador, que es moza de chapa, hecha y derecha y de pelo en pecho, y que puede sacar la barba del lodo a cualquier caballero andante, o por andar, que la tuviere por señora! ¡Oh hi de puta, qué rejo que tiene, y qué voz! Sé decir que se puso un día encima del campanario del aldea a llamar unos zagales suyos que andaban en un barbecho de su padre, y aunque estaban de allí más de media legua, así la oyeron como si estuvieran al pie de la torre. Y lo mejor que tiene es que no es nada melindrosa, porque tiene mucho de cortesana: con todos se burla y de todo hace mueca y donaire. Ahora digo, señor Caballero de la Triste Figura, que no solamente puede y debe vuestra merced hacer locuras por ella, sino que con justo título puede desesperarse y ahorcarse; que nadie habrá que lo sepa que no diga que hizo demasiado de bien, puesto que le lleve el diablo. Y querría ya yerme en camino, sólo por vella; que ha muchos días que no la veo, y debe de estar ya trocada; porque gasta mucho la faz de las mujeres andar siempre al campo, al sol y al aire. Y confieso a vuestra merced una verdad, señor don Quijote: que hasta aquí he estado en una grande ignorancia; que pensaba bien y fielmente que la señora Dulcinea debía de ser alguna princesa de quien vuestra merced estaba enamorado, o alguna persona tal, que mereciese los ricos presentes que vuestra merced le ha enviado, así el del vizcaíno como el de los galeotes, y otros muchos que deben ser, según deben de ser muchas las vitorias que vuestra merced ha ganado y ganó en el tiempo que yo aún no era su escudero. Pero bien considerado, ¿qué se le ha de dar a la señora Aldonza Lorenzo, digo, a la señora Dulcinea del Toboso, de que se le vayan a hincar de rodillas delante della los vencidos que vuestra merced le envía y ha de enviar? Porque podría ser que al tiempo que ellos llegasen estuviese ella rastrillando lino o trillando en las eras, y ellos se corriesen de verla, y ella se riese y enfadase del presente.
+-Ya te tengo dicho antes de agora muchas veces, Sancho -dijo don Quijote-, que eres muy grande hablador y que, aunque de ingenio boto, muchas veces despuntas de agudo; mas para que veas cuán necio eres tú y cuán discreto soy yo, quiero que me oyas un breve cuento. Has de saber que una viuda hermosa, moza, libre y rica, y, sobre todo, desenfadada, se enamoró de un mozo motilón, rollizo y de buen tono; alcanzólo a saber su mayor, y un día dijo a la buena viuda, por vía de fraternal reprehensión: «Maravillado estoy, señora, y no sin mucha causa, de que una mujer tan principal, tan hermosa y tan rica como vuestra merced se haya enamorado de un hombre tan soez, tan bajo y tan idiota como fulano, habiendo en esta casa tantos maestros, tantos presentados y tantos teólogos, en quien vuestra merced pudiera escoger, como entre peras, y decir: “éste quiero, aquéste no quiero”» Mas ella le respondió con mucho donaire y desenvoltura: «Vuestra merced, señor mío, está muy engañado, y piensa muy a lo antiguo si piensa que yo
+he escogido mal en fulano, por idiota que le parece; pues para lo que yo le quiero, tanta filosofía sabe, y más, que Aristóteles.» Así que, Sancho, por lo que yo quiero a Dulcinea del Toboso, tanto vale como la más alta princesa de la tierra. Si, que no todos los poetas que alaban damas debajo de un nombre que ellos a su albedrío les ponen, es verdad que las tienen. ¿Piensas tú que las Amariles, las Filis, las Silvas, las Dianas, las Galateas, las Fílidas, y otras tales de que los libros, los romances, las tiendas de los barberos, los teatros de las comedias, están llenos, fueron verdaderamente damas de carne y hueso, y de aquellos que las celebran y celebraron? No, por cierto, sino que las más se las fingen, por dar subjeto a sus versos, y porque los tengan por enamorados y por hombres que tienen valor para serlo. Y así, bástame a mi pensar y creer que la buena de Aldonza Lorenzo es hermosa y honesta; y en lo del linaje, importa poco; que no han de ir a hacer la información dél para darle algún hábito, y yo me hago cuenta que es la más alta princesa del mundo. Porque has de saber, Sancho, si no lo sabes, que dos cosas solas incitan a amar, más que otras; que son la mucha hermosura y la buena fama, y estas dos cosas se hallan consumadamente en Dulcinea, porque en ser hermosa, ninguna le iguala; y en la buena fama, pocas le llegan. Y para concluir con todo, yo imagino que todo lo que digo es así, sin que sobre ni falte nada, y píntola en mi imaginación como la deseo, así en la belleza como en la principalidad, y ni la llega Elena, ni la alcanza Lucrecia, ni otra alguna de las famosas mujeres de las edades pretéritas, griega, bárbara o latina. Y diga cada uno lo que quisiere; que si por esto fuere reprehendido de los ignorantes, no seré castigado de los rigurosos.
+-Digo que en todo tiene vuestra merced razón -respondió Sancho-, y que yo soy un asno. Mas no sé yo para qué nombro asno en mi boca, pues no se ha de mentar la soga en casa del ahorcado. Pero venga la carta, y a Dios, que me mudo.
+Sacó el libro de memoria don Quijote y, apartándose a una parte, con mucho sosiego comenzó a escribir la carta, y en acabándola llamó a Sancho y le dijo que se la quería leer, porque la tomase de memoria, si acaso se le perdiese por el camino, porque de su desdicha todo se podía temer. A lo cual respondió Sancho:
+-Escríbala vuestra merced dos o tres veces ahí en el libro, y démele, que yo le llevaré bien guardado; porque pensar que yo la he de tomar en la memoria es disparate; que la tengo tan mala, que muchas veces se me olvida cómo me llamo. Pero, con todo eso, dígamela vuestra merced, que me holgaré mucho de oílla; que debe de ir como de molde.
+-Escucha, que así dice -dijo don Quijote:
+CARTA DE DON QUIJOTE A DULCINEA DEL TOBOSO Soberana y alta señora:
+El ferido de punta de ausencia y el llagado de las telas del corazón, dulcísima Dulcinea del Toboso, te envía la salud que él no tiene. Si tu fermosura me desprecia, si tu valor no es en mí pro, si tus desdenes son en mi afincamiento, maguer que yo sea asaz de sufrido, mal podré sostenerme en esta cuita, que, además de ser fuerte, es muy duradera. Mi buen escudero Sancho te dará entera relación, ¡oh bella ingrata, amada enemiga mía!, del modo que por tu causa quedo; si gustares de acorrerme, tuyo soy; y si no, haz lo que te viniere en gusto; que con acabar mi vida habré satisfecho a tu crueldad y a mi deseo.
+Tuyo hasta la muerte,
+El Caballero de la Triste Figura
+-Por vida de mi padre -dijo Sancho en oyendo la carta-, que es la más alta Cosa que jamás he oído. ¡Pesia a mi, y cómo que le dice vuestra merced ahí todo cuanto quiere, y qué bien que encaja en la firma El Caballero de la Triste Figura! Digo de verdad que es vuestra merced el mesmo diablo, y que no hay cosa que no sepa.
+-Todo es menester -respondió don Quijote- para el oficio que trayo.
+-Ea, pues -dijo Sancho-, ponga vuestra merced en esotra vuelta la cédula de los tres pollinos, y firmela con mucha claridad, porque la conozcan en viéndola.
+-Que me place -dijo don Quijote.
+Y habiéndola escrito, se la leyó, que decía ansí:
+Mandará vuestra merced, por esta primera de pollinos, señora sobrina, dar a Sancho Panza, mi escudero, tres de los cinco que dejé en casa y están a cargo de vuestra merced. Los cuales tres pollinos se los mando librar y pagar por otros tantos aquí recebidos de contado; que con ésta y con su carta de pago serán bien dados. Fecha en las entrañas de Sierra Morena, a veinte y dos de agosto deste presente año.
+-Buena está -dijo Sancho-: fírmela vuestra merced.
+-No es menester firmaría -dijo don Quijote-, sino solamente poner mi rúbrica, que es lo mesmo que firma, y para tres asnos, y aun para trecientos, fuera bastante.
+-Yo me confío de vuestra merced -respondió Sancho-. Déjeme, iré a ensillar a Rocinante, y aparéjese vuestra merced a echarme su bendición; que luego pienso partirme, sin ver las sandeces que vuestra merced ha de hacer, que yo diré que le vi hacer tantas, que no quiera más.
+-Por lo menos, quiero, Sancho, y porque es menester ansí, quiero, digo, que me veas en cueros, y hacer una o dos docenas de locuras, que las haré en menos de media hora, porque habiéndolas tú visto por tus ojos, puedas jurar a tu salvo en las demás que quisieres añadir; y asegúrote que no dirás tú tantas cuantas yo pienso hacer.
+-Por amor de Dios, señor mío, que no vea yo en cueros a vuestra merced, que me dará mucha lástima, y no podré dejar de llorar; y tengo tal la cabeza, del llanto que anoche hice por el rucio, que no estoy para meterme en nuevos lloros; y si es que vuestra merced gusta de que yo vea algunas locuras, hágalas vestido, breves y las que le vinieren más a cuento. Cuanto más, que para mí no era menester nada deso, y como ya tengo dicho, fuera ahorrar el camino de mi vuelta, que ha de ser con las nuevas que vuestra merced desea y merece. Y si no, aparéjese la señora Dulcinea; que si no responde como es razón, voto hago solene a quien puedo que le tengo de sacar la buena respuesta del estómago a coces y a bofetones. Porque ¿dónde se ha de sufrir que un caballero andante tan famoso como vuestra merced se vuelva loco, sin qué ni para qué, por una...? No me lo haga decir la señora, porque por Dios que despotrique y lo eche todo a doce, aunque nunca se venda. ¡Bonico soy yo para eso! ¡Mal me conoce! ¡Pues a fe que si me conociese, que me ayunase!.
+-A fe, Sancho -dijo don Quijote-, que, a lo que parece, que no estás tú más cuerdo que yo.
+-No estoy tan loco -respondió Sancho-; mas estoy más colérico. Pero, dejando esto aparte, ¿qué es lo que ha de comer vuestra merced en tanto que yo vuelvo? ¿Ha de salir al camino, como Cardenio, a quitárselo a los pastores?
+-No te dé pena ese cuidado –respondió don Quijote-, porque, aunque tuviera, no comiera otra cosa que las yerbas y frutos que este prado y estos árboles me dieren; que la fineza de mi negocio está en no comer y en hacer otras asperezas equivalentes. A Dios, pues.
+-Pero ¿sabe vuestra merced qué temo? Que no tengo de acertar a volver a este lugar donde agora le dejo, según está de escondido.
+-Toma bien las señas; que yo procuraré no apartarme destos contornos -dijo don Quijote-, y aun tendré cuidado de subirme por estos más altos riscos, por ver si te descubro cuando vuelvas. Cuanto más, que lo más acertado será, para que no me yerres y te pierdas, que cortes algunas retamas de las muchas que por aquí hay, y las vayas poniendo de trecho en trecho, hasta salir a lo raso, las cuales te servirán de mojones y señales para que me halles cuando vuelvas, a imitación del hilo del laberinto de Perseo.
+-Así lo haré -respondió Sancho Panza.
+Y cortando algunos, pidió la bendición a su señor y, no sin muchas lágrimas de entrambos, se despidió dél. Y subiendo sobre Rocinante, a quien don Quijote encomendó mucho, y que mirase por él como por su propria persona, se puso en camino del llano, esparciendo de trecho a trecho los ramos de la retama, como su amo se lo había aconsejado. Y así se fue, aunque todavía le importunaba don Quijote que le viese siquiera hacer dos locuras. Mas no hubo andado cien pasos, cuando volvió y dijo:
+-Digo, señor, que vuestra merced ha dicho muy bien: que para que pueda jurar sin cargo de conciencia que le he visto hacer locuras, será bien que vea siquiera una, aunque bien grande la he visto en la quedada de vuestra merced.
+-¿No te lo decía yo? -dijo don Quijote-. Espérate, Sancho, que en un credo las haré.
+Y desnudándose con toda priesa los calzones, quedó en carnes y en pañales, y luego, sin más ni más, dio dos zapatetas en el aire y dos tumbas la cabeza abajo y los pies en alto, descubriendo cosas que, por no verlas otra vez, volvió Sancho la rienda a Rocinante, y se dio por contento y satisfecho de que podía jurar que su amo quedaba loco. Y así, le dejaremos ir su camino, hasta la vuelta, que fue breve.
+Capítulo 26: Donde se prosiguen las finezas que de enamorado hizo don Quijote en Sierra Morena
+Y volviendo a contar lo que hizo el de la Triste Figura después que se vio solo, dice la historia que, así como don Quijote acabó de dar las tumbas o vueltas de medio abajo desnudo y de medio arriba vestido, y que vio que Sancho se había ido sin querer aguardar a ver más sandeces, se subió sobre una punta de una alta peña, y allí tomó a pensar lo que otras muchas veces había pensado, sin haberse jamás resuelto en ello; y era que cuál seria mejor y le estaría más a cuento: imitar a Roldán en las locuras desaforadas que hizo, o a Amadís en las malencónicas; y hablando entre si mesmo, decía:
+-Si Roldan fue tan buen caballero y tan valiente como todos dicen, ¿qué maravilla, pues, al fin, era encantado, y no le podía matar nadie si no era metiéndole un alfiler de a blanca por la punta del pie, y él traía siempre los zapatos con siete suelas de hierro? Aunque no le valieron tretas contra Bernardo del Carpio, que se las entendió, y le ahogó entre los brazos en Roncesvalles. Pero dejando en él lo de la valentía a una parte, vengamos a lo de perder el juicio, que es cierto que le perdió, por las señales que halló en la Fortuna y por las nuevas que le dio el pastor de que Angélica había dormido más de dos siestas con Medoro, un morillo de cabellos enrizados y paje de Agramante, y si él entendió que esto era verdad y que su dama le había cometido desaguisado, no hizo mucho en volverse loco; pero yo, ¿cómo puedo imitalle en las locuras, si no le imito en la ocasión dellas? Porque mi Dulcinea del Toboso osaré yo jurar que no ha visto en todos los días de su vida moro alguno, ansí como él es, en su mismo traje. y que se está hoy como la madre que la parió; y haríale agravio manifiesto, si, imaginando otra cosa della, me volviese loco de aquel género de locura de Roldán el furioso. Por otra parte, veo que Amadís de Gaula, sin perder el juicio y sin hacer locuras, alcanzó tanta fama de enamorado como el que más; porque lo que hizo, según su historia, no fue más de que, por verse desdeñado de su señora Oriana, que le había mandado que no pareciese ante su presencia hasta que fuese su voluntad, se retiró a la Peña Pobre, en compañía de un ermitaño, y allí se hartó de llorar y de encomendarse a Dios, hasta que el cielo le acorrió, en medio de su mayor cuita y necesidad. Y si esto es verdad, como lo es, ¿para que quiero yo tomar trabajo agora de desnudarme del todo, ni dar pesadumbre a estos árboles, que no me han hecho mal alguno, ni tengo para qué enturbiar el agua clara destos arroyos, los cuales me han de dar de beber cuando tenga gana? Viva la memoria de Amadís, y sea imitado de don Quijote de la Mancha en todo lo que pudiere; del cual se dirá lo que del otro se dijo: que si no acabó grandes cosas, murió por acometellas; y si yo no soy desechado ni desdeñado de Dulcinea del Toboso, bástame, como ya he dicho, estar ausente della. Ea, pues, manos a la obra: venid a mi memoria, cosas de Amadís, y enseñadme por dónde tengo de comenzar a imitaros. Mas ya sé que lo más que él hizo fue rezar y encomendarse a Dios; pero ¿qué haré de rosario, que no lo tengo?
+En esto, le vino al pensamiento cómo le haría, y fue que rasgó una gran tira de las faldas de la camisa, que andaban colgando, y diole once ñudos, el uno más gordo que los demás, y esto le sirvió de rosario el tiempo que allí estuvo, donde rezó un
+millón de avemarías. Y lo que le fatigaba mucho era no hallar por allí otro ermitaño que le confesase y con quien consolarse; y así, se entretenía paseándose por el pradecillo escribiendo y grabando por las cortezas de los árboles y por la menuda arena muchos versos, todos acomodados a su tristeza, y algunos en alabanza de Dulcinea. Mas los que se pudieron hallar enteros y que se pudiesen leer después que a él allí le hallaron no fueron más que estos que aquí se siguen:
+Arboles, yerbas y plantas que en aqueste sitio estáis, tan altos, verdes y tantas,
+si de mi mal no os holgáis, escuchad mis quejas santas. Mi dolor no os alborote, aunque más terrible sea; pues, por pagaros escote, aquí lloró don Quijote ausencias de Dulcinea
+del Toboso.
+Es aquí el lugar adonde
+el amador más leal
+de su señora se esconde,
+y ha venido a tanto mal
+sin saber cómo o por dónde. Tráele amor al estricote,
+que es de muy mala ralea;
+y así, hasta henchir un pipote, aquí lloró don Quijote ausencias de Dulcinea
+del Toboso.
+Buscando las aventuras
+por entre las duras peñas, maldiciendo entrañas duras, (que entre riscos y entre breñas halla el triste desventuras), hirióle amor con su azote,
+no con su blanda correa;
+y en tocándole el cogote,
+aquí lloró don Quijote
+ausencias de Dulcinea
+del Toboso.
+No causó poca risa en los que hallaron los versos referidos el añadidura del Toboso al nombre de Dulcinea, porque imaginaron que debió de imaginar don Quijote que si en nombrando a Dulcinea no decía también del Toboso, no se podría entender la copla; y así fue la verdad, como él después confesó. Otros muchos escribió; pero, como se ha dicho, no se pudieron sacar en limpio, ni enteros, más destas tres coplas. En esto, y en suspirar, y en llamar a los faunos y silvanos de aquellos bosques, a las ninfas de los ríos, a la dolorosa y húmida Eco, que le respondiese, consolasen y escuchasen, se entretenía, y en buscar algunas yerbas con que sustentarse en tanto que Sancho volvía; que, si como tardó tres días, tardara tres semanas, el Caballero de la Triste Figura quedara tan desfigurado, que no le conociera la madre que lo parió.
+Y será bien dejalle envuelto entre suspiros y versos, por contar lo que le avino a Sancho Panza en su mandadería; y fue que en saliendo al camino real, se puso en busca del del Toboso, y otro día llegó a la venta donde le habían sucedido, y cómo llevaba la carta a la hubo bien visto, cuando le pareció que otra vez andaba en los aires, y no quiso entrar dentro, aunque llegó a hora que lo pudiera y debiera hacer, por ser la del comer y llevar en deseo de gustar algo caliente, que había grandes días que todo era fiambre.
+Esta necesidad le forzó a que llegase junto a la venta, todavía dudoso si entraría o no; y estando en esto, salieron de la venta dos personas que luego le conocieron. Y dijo el uno al otro:
+-Dígame, señor licenciado, aquel del caballo, ¿no es Sancho Panza, el que dijo el ama de nuestro aventurero que había salido con su señor por escudero?
+-Si es -dijo el licenciado-; y aquél es el caballo de nuestro don Quijote.
+Y conociéronle tan bien, como aquellos que eran el cura y el barbero de su mismo lugar, y los que hicieron el escrutinio y acto general de los libros. Los cuales, así como acabaron de conocer a Sancho Panza y a Rocinante, deseosos de saber de don Quijote, se fueron a él, y el cura le llamó por su nombre, diciéndole:
+-Amigo Sancho Panza, ¿adónde queda vuestro amo?
+Conociólos luego Sancho Panza y determiné de encubrir el lugar y la suerte donde y como su amo quedaba; y así, les respondió que su amo quedaba ocupado en cierta parte y en cierta cosa que le era de mucha importancia, la cual él no podía descubrir, por los ojos que en la cara tenía.
+-No, no -dijo el barbero-, Sancho Panza, si vos no nos decís donde queda, imaginaremos, como ya imaginamos, que vos le habéis muerto y robado, pues venís encima de su caballo. En verdad, que nos habéis de dar el dueño del rocín, o sobre eso, morena.
+-No hay para qué conmigo amenazas, que yo no soy hombre que robo ni mato a nadie; a cada uno mate su ventura, o Dios, que le hizo. Mi amo queda haciendo penitencia en la mitad desta montaña, muy a su sabor.
+Y luego, de corrida y sin parar, les contó de la suerte que quedaba, las aventuras que le habían sucedido, y cómo llevaba la carta a la señora Dulcinea del Toboso, que era la hija de Lorenzo Corchuelo, de quien estaba enamorado hasta los hígados. Quedaron admirados los dos de lo que Sancho Panza les contaba; y aunque ya sabían la locura de don Quijote y el género della, siempre que la oían se admiraban de nuevo. Pidiéronle a Sancho Panza que les enseñase la carta que llevaba a la señora Dulcinea del Toboso. El dijo que iba escrita en un libro de memoria, y que era orden de su señor que la hiciese trasladar en papel en el primer lugar que llegase; a lo cual le dijo el cura que se la mostrase; que él la trasladaría de muy buena letra. Metió la mano en el seno Sancho Panza, buscando el librillo, pero no le halló, ni le podía hallar si le buscara hasta agora, porque se había quedado don Quijote con él, y no se le había dado, ni a él se le acordó de pedírsele.
+Cuando Sancho vio que no hallaba el libro, fuésele parando mortal el rostro; y tomándose a tentar todo el cuerpo muy apriesa, tomó a echar de ver que no le hallaba, y, sin más ni más, se echó entrambos puños a las barbas, y se arrancó la mitad de ellas, y luego, apriesa y sin cesar, se dio media docena de puñadas en el rostro y en las narices, que se las bañó todas en sangre. Visto lo cual por el cura y el barbero, le dijeron que qué le había sucedido, que tan mal se paraba.
+-¿Qué me ha de suceder -respondió Sancho-, sino el haber perdido de una mano a otra, en un estante, tres pollinos, que cada uno era como un castillo?
+-¿Cómo es eso? -respondió el barbero.
+-He perdido el libro de memoria -respondió Sancho- donde venía la carta para Dulcinea y una cédula firmada de mi señor, por la cual mandaba que su sobrina me diese tres pollinos de cuatro o cinco que estaban en casa.
+Y con esto, les contó la pérdida del rucio. Consolóle el cura, y dijole que en hallando a su señor él le haría revalidar la manda y que tornase a hacer la libranza en papel, como era uso y costumbre, porque las que se hacían en libros de memoria jamás se acetaban ni cumplían.
+Con esto se consoló Sancho, y dijo que como aquello fuese ansí, que no le daba mucha pena la pérdida de la carta de Dulcinea, porque él la sabía casi de memoria, de la cual se podría trasladar donde y cuando quisiesen.
+-Decilda, Sancho, pues -dijo el barbero-; que después la trasladaremos.
+Paróse Sancho Panza a rascar la cabeza para traer a la memoria la carta, y ya se ponía sobre un pie, y ya sobre otro; unas veces miraba al suelo, otras al cielo, y al cabo de haberse roído la mitad de la yema de un dedo, teniendo suspensos a los que esperaban que ya la dijese, dijo al cabo de grandísimo rato:
+-Por Dios, señor licenciado, que los diablos lleven la cosa que de la carta se me acuerda; aunque en el principio decía: «Alta y sobajada señora.»
+No diría -dijo el barbero- sobajada, sino sobrehumana, o soberana señora.
+-Así es -dijo Sancho-. Luego, si mal no me acuerdo, proseguía..., si mal no me acuerdo: «el llego y falto de sueño, y el ferido besa a vuestra merced las manos, ingrata y muy desconocida hermosa», y no sé qué decía de salud y de enfermedad que le enviaba, y por aquí iba escurriendo, hasta que acababa en «Vuestro hasta la muerte, el Caballero de la Triste Figura».
+No poco gustaron los dos de ver la buena memoria de Sancho Panza, y alabáronsela mucho, y le pidieron que dijese la carta otras dos veces, para que ellos ansimesmo la tomasen de memoria para trasladalla a su tiempo. Tornóla a decir Sancho otras tres veces, y otras tantas volvió a decir otros tres mil disparates. Tras esto, contó asimesmo las cosas de su amo; pero no habló palabra acerca del manteamiento que le había sucedido en aquella venta en la cual rehusaba entrar. Dijo también cómo su señor, en trayendo que le trujese buen despacho de la señora Dulcinea del Toboso, se había de poner en camino a procurar cómo ser emperador, o, por lo menos, monarca; que así lo tenían concertado entre los dos, y era cosa muy fácil venir a serlo, según era el valor de su persona y la fuerza de su brazo; y que en siéndolo, le había de casar a él, porque ya sería viudo, que no podía ser menos, y le había de dar por mujer a una doncella de la emperatriz, heredera de un rico y grande estado de tierra firme, sin ínsulos ni ínsulas, que ya no las quería.
+Decía esto Sancho con tanto reposo, limpiándose de cuando en cuando las narices, y con tan poco juicio, que los dos se admiraron de nuevo, considerando cuán vehemente había sido la locura de don Quijote, pues había llevado tras si el juicio de aquel pobre hombre. No quisieron cansarse es sacarle del error en que estaba, pareciéndoles que, pues no le dañaba nada la conciencia, mejor era dejarle en él, y a ellos les seria de más gusto oír sus necedades. Y así, le dijeron que rogase a Dios por la salud de su señor; que cosa contingente y muy agible era venir con el discurso del tiempo a ser emperador, como él decía, o, por lo menos, arzobispo, u otra dignidad equivalente.
+A lo cual respondió Sancho:
+-Señores, si la fortuna rodease las cosas de manera que a mi amo le viniese en voluntad de no ser emperador, sino de ser arzobispo, querría yo saber agora: ¿qué suelen dar los arzobispos andantes a sus escuderos?
+-Suelenles dar -respondió el cura- algún beneficio, simple o curado, o alguna sacristanía, que les vale mucho de renta rentada, amén del pie de altar, que se suele estimar en otro tanto.
+-Para eso será menester -replicó Sancho- que el escudero no sea casado, y que sepa ayudar a misa, por lo menos; y si esto es así, ¡desdichado de yo, que soy casado y no sé la primera letra del abecé! ¿Qué será de mi si a mi amo le da antojo de ser arzobispo, y no emperador, como es uso y costumbre de los caballeros andantes?
+-No tengáis pena, Sancho amigo -dijo el barbero-; que aquí rogaremos a vuestro amo, y se lo aconsejaremos, que sea emperador y no arzobispo, porque le será más fácil, a causa de que él es más valiente que estudiante.
+-Así me ha parecido a mi -respondió Sancho-; aunque sé decir que para todo tiene habilidad. Lo que yo pienso hacer de mi parte es rogarle a nuestro Señor que te eche a aquellas partes donde él más se sirva y adonde a mí más mercedes me haga.
+-Vos lo decís como discreto -dijo el cura-, y lo haréis como buen cristiano. Mas lo que ahora se ha de hacer es dar orden como sacar a vuestro amo de aquella inútil penitencia que decís que queda haciendo; y para pensar el modo que hemos de tener, y para comer, que ya es hora, será bien nos entremos en esta venta.
+Sancho dijo que entrasen ellos, que él esperaría allí fuera, y que después les diría la causa porque no entraba ni le convenía entrar en ella; mas que les rogaba que le sacasen allí algo de comer, que fuese cosa caliente, y ansimismo cebada para Rocinante. Ellos se entraron y le dejaron, y de allí a poco el barbero le sacó de comer. Después, habiendo bien pensado entre los dos el modo que tendrían para conseguir lo que deseaban, vino el cura en un pensamiento muy acomodado al gusto de don Quijote, y para lo que ellos querían; y fue que dijo al barbero que lo que habían pensado era que él se vestiría en hábito de doncella andante, y que él procurase ponerse lo mejor que pudiese como escudero, y que así irían adonde don Quijote estaba, fingiendo ser ella doncella afligida y menesterosa, y le pediría un don, el cual él no podría dejársele de otorgar, como valeroso caballero andante. Y que el don que le pensaba pedir era que se viniese con ella donde ella le llevase, a desfacelle un agravio que un mal caballero le tenía fecho; y que le suplicaba ansimesmo que no la mandase quitar su antifaz, ni la demandase cosa de su facienda, fasta que la hubiese fecho derecho de aquel mal caballero, y que creyese, sin duda, que don Quijote vendría en todo cuanto le pidiese por este término, y que desta manera le sacarían de allí, y le llevarían a su lugar, donde procurarían ver si tenía algún remedio su extraña locura.
+Capítulo 27: De cómo salieron con su intención el cura y el barbero, con otras cosas dignas de que se cuenten en esta grande historia
+No le pareció mal al barbero la invención del cura, sino tan bien, que luego la pusieron por abra. Pidiéronle a la ventera una saya y unas tocas, dejándole en prendas una sotana nueva del cura. El barbero hizo una gran barba de una cola rucia o roja de buey, donde el ventero tenía colgado el peine. Preguntóles la ventera que para qué le pedían aquellas cosas. El cura le contó en breves razones la locura de don Quijote, y cómo convenía aquel disfraz para sacarle de la montaña, donde a la sazón estaba. Cayeron luego el ventero y la ventera en que el loco era su huésped, el del bálsamo, y el amo de manteado escudero, y contaron al cura todo lo que con él les había pasado, sin callar lo que tanto callaba Sancho. En resolución, la ventera vistió al cura de modo que no había más que ver: púsole una saya de paño, llena de fajas de terciopelo negro de un palmo en ancho, todas acuchilladas, y unos corpiños de terciopelo verde guarnecidos con unos ribetes de raso blanco, que se debieron de hacer, ellos y la saya, en tiempo del rey Wamba. No consintió el cura que le tocasen, sino púsose en la cabeza un birretillo de lienzo colchado que llevaba para dormir de noche, y ciñóse por la frente una liga de tafetán negro, y con otra liga hizo un antifaz con que se cubrió muy bien las barbas y el rostro; encasquetóse su sombrero, que era tan grande que le podía servir de quitasol, y cubriéndose su herreruelo, subió en su mula a mujeriegas, y el barbero en la suya, con su barba que le llegaba a la cintura, entre roja y blanca, como aquella que, como se ha dicho, era hecha de la cola de un buey barroso.
+Despidiéronse de todos, y de la buena de Maritornes, que prometió de retar un rosario, aunque pecadora, porque Dios les diese buen suceso en tan arduo y tan cristiano negocio como era el que habían emprendido.
+Mas, apenas hubo salido de la venta, cuando le vino al cura un pensamiento que hacía mal en haberse puesto de aquella manera, por ser cosa indecente que un sacerdote se pusiese así, aunque le fuese mucho en ello; y diciéndoselo al barbero, le rogó que trocasen trajes, pues era más justo que él fuese la doncella menesterosa, y que él haría el escudero, y que así se profanaba menos su dignidad; y que si no lo quería hacer, determinaba de no pasar adelante, aun que a don Quijote se le llevase el diablo.
+En esto llegó Sancho, y de ver a los dos en aquel traje no pudo tener la risa. En efeto, el barbero vino en todo aquello que el cura quiso, y, trocando la invención, el cura le fue informando el modo que había de tener, y las palabras que había de decir a don Quijote para moverle y forzarle a que con él se viniese, y dejase la querencia del lugar que había escogido para su vana penitencia. El barbero respondió, que sin que se le diese lición, él lo pondría bien en su punto. No quiso vestirse por entonces, hasta que estuviesen junto de donde don Quijote estaba, y así, dobló sus vestidos, y el cura acomodó su barba, y siguieron su camino, guiándolos Sancho Panza; el cual les fue contando lo que les aconteció con el loco que hallaron en la sierra, encubriendo, empero, el hallazgo de la maleta y de cuanto en ella venía; que, magüer que tonto, era un poco codicioso el mancebo.
+Otro día llegaron al lugar donde Sancho había dejado puestas las señales de las ramas para acertar el lugar donde había dejado a su señor; y, en reconociéndole, les dijo cómo aquélla era la entrada, y que bien se podían vestir, si era que aquello hacía al caso para la libertad de su señor; porque ellos le habían dicho antes que el ir de aquella suerte y vestirse de aquel modo era toda la importancia para sacar a su amo de aquella mala vida que había escogido, y que le encargaban mucho que no dijese a su amo quién ellos eran, ni que los conocía; y que si le preguntase, como se lo había de preguntar, si dio la carta a Dulcinea, dijese que sí, y que, por no saber leer, le había respondido de palabra, diciéndole que le mandaba, so pena de la su desgracia, que luego al momento se viniese a ver con ella, que era cosa que le importaba mucho; porque con esto y con lo que ellos pensaban decirle tenían por cosa cierta reducirle a mejor vida, y hacer con él que luego se pusiese en camino para ir a ser emperador o monarca; que en lo de ser arzobispo no había de qué temer.
+Todo lo escuchó Sancho, y lo tomó muy bien en la memoria, y les agradeció mucho la intención que tenían de aconsejar a su señor fuese emperador, y no arzobispo, porque él tenía para si que para hacer mercedes a sus escuderos más podían los emperadores que los arzobispos andantes. También les dijo que sería bien que él fuese delante a buscarle y darle la respuesta de su señora; que ya seria ella bastante a sacarle de aquel lugar, sin que ellos se pusiesen en tanto trabajo. Parecioles bien lo que Sancho Panza decía, y así determinaron de aguardarle, hasta que volviese con las nuevas del hallazgo de su amo.
+Entróse Sancho por aquellas quebradas de la sierra, dejando a los dos en una por donde corría un pequeño y manso arroyo, a quien hacían sombra agradable y fresca otras peñas y algunos árboles que por allí estaban. El calor, y el día que allí llegaron, era de los del mes de agosto, que por aquellas partes suele ser el ardor muy grande; la hora, las tres de la tarde: todo lo cual hacía al sitio más agradable, y que convidase a que en él esperasen la vuelta de Sancho, como lo hicieron.
+Estando, pues, los dos allí, sosegados y a la sombra, llegó a sus oídos una voz, que, sin acompañarla son de algún otro instrumento, dulce y regaladamente sonaba, de que no poco se admiraron, por parecerles que aquel no era lugar donde pudiese haber quien tan bien cantase. Porque aunque suele decirse que por las selvas y campos se hallan pastores de voces extremadas, más son encarecimientos de poetas que verdades; y más cuando advirtieron que lo que oían cantar eran versos, no de rústicos ganaderos, sino de discretos cortesanos.
+Y confirmó esta verdad haber sido los versos que oyeron éstos: ¿Quién menoscaba mis bienes?
+Desdenes.
+Y ¿quién aumenta mis duelos?
+Los celos.
+¿Y quién prueba mi paciencia? Ausencia.
+De ese modo, en mi dolencia
+ningún remedio se alcanza, pues me matan la esperanza desdenes, celos y ausencia. ¿Quién me causa este dolor? Amor.
+Y ¿quién mi gloria repuna?
+Fortuna.
+Y ¿quién consiente en mi duelo?
+El cielo.
+De ese modo, yo recelo
+morir deste mal extraño,
+pues se aumentan en mi daño
+amor, fortuna y el cielo.
+¿Quién mejorará mi suerte?
+La muerte.
+Y el bien de amor, ¿quién le alcanza? Mudanza.
+Y sus males, ¿quién los cura? Locura.
+De ese modo, no es cordura
+querer curar la pasión,
+cuando los remedios son
+muerte, mudanza y locura.
+La hora, el tiempo, la soledad, la voz y la destreza del que cantaba causó admiración y contento en los dos oyentes, los cuales se estuvieron quedos, esperando si otra alguna cosa oían; pero viendo que duraba algún tanto el silencio, determinaron de salir a buscar el músico que con tan buena voz cantaba. Y queriéndolo poner en efeto, hizo la mesma voz que no se moviesen, la cual llegó de nuevo a sus oídos, cantando este soneto:
+SONETO
+Santa amistad, que con ligeras alas,
+tu apariencia quedándose en el suelo, entre benditas almas, en el cielo,
+subiste alegre a las impíreas salas,
+desde allá, cuando quieres, nos señalas la justa paz cubierta con un velo,
+por quien a veces se trasluce el celo
+de buenas obras que, a la fin, son malas. Deja el cielo, ¡oh amistad!, o no permitas que el engaño se vista tu librea,
+con que destruye a la intención sincera; que si tus apariencias no le quitas, presto ha de verse el mundo en la pelea de la discorde confusión primera.
+El canto se acabó con un profundo suspiro, y los dos, con atención, volvieron a esperar si más se cantaba; pero viendo que la música se había vuelto en sollozos y en lastimeros ayes, acordaron de saber quién era el triste tan extremado en la voz como doloroso en los gemidos; y no anduvieron mucho cuando, al volver de una punta de una peña, vieron a un hombre del mismo talle y figura que Sancho Panza les había pintado cuando les contó el cuento de Cardenio; el cual hombre cuando los vio, sin sobresaltarse, estuvo quedo, con la cabeza inclinada sobre el pecho, a guisa de hombre pensativo, sin alzar los ojos a mirarlos más de la vez primera, cuando de improviso llegaron.
+El cura, que era hombre bien hablado, como el que ya tenía noticia de su desgracia, pues por las señas le había conocido, se llegó a él, y con breves aunque muy discretas razones, le rogó y persuadió que aquella tan miserable vida dejase, porque allí no la perdiese, que era la desdicha mayor de las desdichas. Estaba Cardenio entonces en su entero juicio, libre de aquel furioso accidente que tan a menudo le sacaba de si mismo; y así, viendo a los dos en traje tan no usado de los que por aquellas soledades andaban, no dejó de admirarse algún tanto, y más cuando oyó que le habían hablado en su negocio, como en cosa sabida (porque las razones que el cura le dijo así lo dieron a entender); y así, respondió desta manera:
+-Bien veo yo, señores, quienquiera que seáis, que el cielo, que tiene cuidado de socorrer a los buenos, y aun a los malos muchas veces, sin yo merecerlo me envía, en estos tan remotos y apartados lugares del trato común de las gentes, algunas personas que, poniéndome delante de los ojos con vivas y varias razones cuán sin
+ella ando en hacer la vida que hago, han procurado sacarme desta a mejor parte; pero como no saben que sé yo que en saliendo deste daño he de caer en otro mayor, quizá me deben de tener por hombre de flacos discursos, y aun, lo que peor seria, por de ningún juicio. Y no sería maravilla que así fuese, porque a mi se me trasluce que la fuerza de la imaginación de mis desgracias es tan intensa y puede tanto en mi perdición, que, sin que yo pueda ser parte a estorbarlo, vengo a quedar como piedra, falto de todo buen sentido y conocimiento; y vengo a caer en la cuenta desta verdad cuando algunos me dicen y muestran señales de las cosas que he hecho en tanto que aquel terrible accidente me señorea, y no sé más que dolerme en vano y maldecir, sin provecho, mi ventura, y dar por disculpa de mis locuras el decir la causa dellas a cuantos oírla quieren; porque viendo los cuerdos cuál es la causa, no se maravillarán de los efetos, y si no me dieren remedio, a lo menos, no me darán culpa, convirtiéndoseles el enojo de mi desenvoltura en lástima de mis desgracias. Y si es que vosotros, señores, venís con la mesma intención que otros han venido, antes que paséis adelante en vuestras discretas persuasiones, os ruego que escuchéis el cuento, que no le tiene, de mis desventuras, porque quizá, después de entendido, ahorraréis del trabajo que tomaréis en consolar un mal que de todo consuelo es incapaz.
+Los dos, que no deseaban otra cosa que saber de su mesma boca la causa de su daño, le rogaron se la contase, ofreciéndole de no hacer otra cosa de la que él quisiese, en su remedio o consuelo; y con esto, el triste caballero comenzó su lastimera historia, casi por las mesmas palabras y pasos que la había contado a don Quijote y al cabrero pocos días atrás, cuando, por ocasión del maestro Elisabat y puntualidad de don Quijote en guardar el decoro a la caballería, se quedó el cuento imperfeto, como la historia lo deja contado. Pero ahora quiso la buena suerte que se detuvo el accidente de la locura y le dio lugar de contarlo hasta el fin; y así, llegando al paso del billete que había hallado don Fernando entre el libro de Amadís de Gaula, dijo Cardenio que le tenía bien en la memoria y que decía desta manera:
+LUSCINDA A CARDENIO
+Cada día descubro en vos valores que me obligan y fuerzan a que en más os estime; y así, si quisiéredes sacarme desta deuda sin ejecutarme en la honra, lo podréis muy bien hacer. Padre tengo, que os conoce y que me quiere bien, el cual, sin forzar mi voluntad, cumplirá la que será justo que vos tengáis, si es que me estimáis como decís, y como yo creo.
+Por este billete me moví a pedir a Luscinda por esposa, como ya os he contado, y éste fue por quien quedó Luscinda en la opinión de don Fernando por una de las más discretas y avisadas mujeres de su tiempo; y este billete fue el que le puso en deseo de destruirme, antes que el mío se efetuase. Dijele yo a don Fernando en lo que reparaba el padre de Luscinda, que era en que mi padre se la pidiese, lo cual yo no le osaba decir, temeroso que no vendría en ello, no porque no tuviese bien conocida la calidad, bondad, virtud y hermosura de Luscinda, y que tenía partes bastantes para ennoblecer cualquier otro linaje de España, sino porque yo entendía dél que deseaba que no me casase tan presto, hasta ver lo que el duque Ricardo hacia conmigo. En resolución, le dijo que no me aventuraba a decírselo a mi padre, así por aquel inconveniente como por otros muchos que me acobardaban, sin saber cuáles eran; sino que me parecía que lo que yo desease jamás había de tener efeto. A todo esto me respondió don Fernando que él se encargaba de hablar a mi padre y hacer con él que hablase al de Luscinda.
+¡Oh Mario ambicioso, oh Catilina cruel, oh Sila facinoroso, oh Galalón embustero, oh Vellido traidor, oh Julián vengativo, oh Judas codicioso! Traidor, cruel, vengativo y embustero, ¿qué deservicios te había hecho este triste, que con tanta llaneza te
+descubrió los secretos y contentos de su corazón? ¿Qué ofensa te hice? ¿Qué palabras te dije, o qué consejos te di, que no fuesen todos encaminados a acrecentar tu honra y tu provecho? Mas ¿de qué me quejo, ¡desventurado de mi!, pues es cosa cierta que cuando traen las desgracias la corriente de las estrellas, como vienen de alto abajo, despeñandose con furor y con violencia, no hay fuerza en la tierra que las detenga, ni industria humana que prevenirlas pueda? ¿Quién pudiera imaginar que don Fernando, caballero ilustre, discreto, obligado de mis servicios, poderoso para alcanzar lo que el deseo amoroso le pidiese dondequiera que le ocupase, se había de enconar, como suele decirse, en tomarme a mí una sola oveja, que aún no poseía? Pero quédense estas consideraciones aparte, como inútiles y sin provecho, y añudemos el roto hilo de mi desdichada historia.
+Digo, pues, que pareciéndole a don Fernando que mi presencia le era inconveniente para poner en ejecución su falso y mal pensamiento, determinó de enviarme a su hermano mayor, con ocasión de pedirle unos dineros para pagar seis caballos, que de industria, y sólo para este efeto de que me ausentase (para poder mejor salir con su dañado intento), el mesmo día que se ofreció a hablar a mi padre los compró, y quiso que yo viniese por el dinero. ¿Pude yo prevenir esta traición? ¿Pude, por ventura, caer en imaginarla? No, por cierto; antes con grandísimo gusto me ofrecí a partir luego, contento de la buena compra hecha. Aquella noche hablé con Luscinda, y le dije lo que con don Fernando quedaba concertado, y que tuviese firme esperanza de que tendrían efeto nuestros buenos y justos deseos. Ella me dijo, tan segura como yo de la traición de don Fernando, que procurase volver presto, porque creía que no tardaría más la conclusión de nuestras voluntades que tardase mi padre de hablar al suyo. No sé qué se fue, que en acabando de decirme esto se le llenaron los ojos de lágrimas y un nudo se le atravesó en la garganta, que no le dejaba hablar palabra de otras muchas que me pareció que procuraba decirme. Quedé admirado deste nuevo accidente, hasta allí jamás en ella visto, porque siempre nos hablábamos, las veces que la buena fortuna y mi diligencia lo concedía, con todo regocijo y contento, sin mezclar en nuestras pláticas lágrimas, suspiros, celos, sospechas o temores. Todo era engrandecer yo mi ventura, por habérmela dado el cielo por señora: exageraba su belleza, admirábame de su valor y entendimiento. Volvíame ella el recambio, alabando en milo que, como a enamorada, le parecía digno de alabanza. Con esto nos contábamos cien mil niñerías y acaecimientos de nuestros vecinos y conocidos, y a lo que más se extendía mi desenvoltura era a tomarle, casi por fuerza, una de sus bellas y blancas manos, y llegaría a mi boca, según daba lugar la estrecheza de una baja reja que nos dividía. Pero la noche que precedió al triste día de mi partida ella lloró, gimió y suspiró, y se fue, y me dejó lleno de confusión y sobresalto, espantado de haber visto tan nuevas y tan tristes muestras de dolor y sentimiento en Luscinda; pero por no destruir mis esperanzas, todo lo atribuí a la fuerza del amor que me tenía y al dolor que suele causar la ausencia en los que bien se quieren. En fin, yo me partí triste y pensativo, llena el alma de imaginaciones y sospechas, sin saber lo que sospechaba ni imaginaba; claros indicios que me mostraban el triste suceso y desventura que me estaba guardada.
+Llegué al lugar donde era enviado; di las cartas al hermano de don Fernando; fui bien recebido, pero no bien despachado, porque me mandó aguardar, bien a mi disgusto, ocho días, y en parte donde el duque su padre no me viese, porque su hermano le escribía que le enviase cierto dinero sin su sabiduría; y todo fue invención del falso don Fernando, pues no le faltaban a su hermano dineros para despacharme luego. Orden y mandato fue éste que me puso en condición de no obedecerle, por parecerme imposible sustentar tantos días la vida en el ausencia de Luscinda, y mas habiéndola dejado con la tristeza que os he contado; pero, con todo esto, obedecí, como buen criado, aunque veía que había de ser a costa de mi salud. Pero a los cuatro días que allí llegué, llegó un hombre en mi busca con una carta, que me dio, que en el sobrescrito conocí ser de Luscinda, porque la letra dél
+era suya. Abrila, temeroso y con sobresalto, creyendo que cosa grande debía de ser la que la había movido a escribirme estando ausente, pues presente pocas veces lo hacia. Preguntéle al hombre, antes de leerla, quién se la había dado y el tiempo que había tardado en el camino; díjome que acaso pasando por una calle de la ciudad a la hora de mediodía, una señora muy hermosa le llamó desde una ventana, los ojos llenos de lágrimas, y que con mucha priesa le dijo: «-Hermano, si sois cristiano, como parecéis, por amor de Dios os ruego que encaminéis luego luego esta carta al lugar y a la persona que dice el sobrescrito, que todo es bien conocido, y en ello haréis un gran servicio a nuestro Señor; y para que no os falte comodidad de poderlo hacer, tomad lo que va en este pañuelo.» «-Y diciendo esto, me arrojo por la ventana un pañuelo, donde venían atados cien reales y esta sortija de oro que aquí traigo, con esa carta que os he dado. Y luego, sin aguardar respuesta mía se quitó de la ventana; aunque primero vio cómo yo tomé la carta y el pañuelo y, por señas, le dije que haría lo que me mandaba. Y así, viéndome tan bien pagado del trabajo que podía tomar en traérosla, y conociendo por el sobrescrito que érades vos a quien se enviaba, porque yo, señor, os conozco muy bien, y obligado asimesmo de las lágrimas de aquella hermosa señora, determiné de no fiarme de otra persona, sino venir yo mesmo a dárosla, y en diez y seis horas que ha que se me dio, he hecho el camino, que sabéis que es de diez y ocho leguas.»
+En tanto que el agradecido y nuevo correo esto me decía, estaba yo colgado de sus palabras, temblándome las piernas, de manera que apenas podía sostenerme. En efeto, abrí la carta y vi que contenía estas ratones:
+La palabra que don Fernando os dio de hablar a vuestro padre para que hablase al mío la ha cumplido más en su gusto que en vuestro provecho. Sabed, señor, que él me ha pedido por esposa, y mi padre, llevado de la ventaja que él piensa que don Fernando os hace, ha venido en lo que quiere, con tantas veras, que de aquí a dos días se ha de hacer el desposorio; tan secreto y tan a solas, que solo han de ser testigos los cielos y alguna gente de casa. Cual yo quedo, imaginaldo; si os cumple venir, veldo; y si os quiero bien o no, el suceso deste negocio os la dará a entender. A Dios plega que ésta llegue a vuestras manos antes que la mía se vea en condición de juntarse con la de quien mal sabe guardar la fe que promete.
+Estas, en suma, fueron las razones que la cada contenía, y las que me hicieron poner luego en camino, sin esperar otra respuesta ni otros dineros; que bien claro conocí entonces que no la compra de los caballos, sino la de su gusto, había movido a don Fernando a enviarme a su hermano. El enojo que contra don Femando concebí, junto con el temor de perder la prenda que con tantos años de servicios y deseos tenía granjeada, me pusieron alas, pues, casi como en vuelo, otro día me puse en mi lugar, al punto y hora que convenía para ir a hablar a Luscinda. Entré secreto y dejé una mula en que venia en casa del buen hombre que me había llevado la cada, y quiso la suerte que entonces la tuviese tan buena, que hallé a Luscinda puesta a la reja, testigo de nuestros amores. Conocióme Luscinda luego, y conocíla yo; mas no como debía ella conocerme, y yo conocerla. Pero ¿quién hay en el mundo que se pueda alabar que ha penetrado y sabido el confuso pensamiento y condición mudable de una mujer? Ninguno, por cierto. Digo, pues, que así como Luscinda me vio, me dijo:
+-Cardenio, de boda estoy vestida; ya me están aguardando en la sala don Femando el traidor y mi padre el codicioso, con otros testigos, que antes lo serán de mi muerte que de mi desposorio. No te turbes, amigo, sino procura hallade presente a este sacrificio, el cual si no pudiese ser estorbado de mis razones, una daga llevo escondida que podrá estorbar más determinadas fuerzas, dando fin a mi vida y principio a que conozcas la voluntad que te he tenido y tengo.
+Yo le respondí turbado y apriesa, temeroso no me faltase lugar para responderla:
+-Hagan, señora, tus obras verdaderas tus palabras; que si tú llevas daga para acreditarte, aquí llevo yo espada para defenderte con ella, o para matarme si la suerte nos fuere contraria.
+No creo que pudo oír todas estas razones, porque sentí que la llamaban apriesa, porque el desposado aguardaba. Cerróse con esto la noche de mi tristeza; púsoseme el sol de mi alegría; quedé sin luz en los ojos y sin discurso en el entendimiento. No acedaba a entrar en su casa, ni podía moverme a parte alguna; pero considerando cuánto importaba mi presencia para lo que suceder pudiese en aquel caso, me animé lo más que pude y entré en su casa; y como ya sabia muy bien todas sus entradas y salidas, y más con el alboroto que de secreto en ella andaba, nadie me echó de ver; así que, sin ser visto, tuve lugar de ponerme en el hueco que hacia una ventana de la mesma sala, que con las puntas y remates de los dos tapices se cubría, por entre las cuales podía yo ver, sin ser visto, todo cuanto en la sala se hacia. ¿Quién pudiera decir ahora los sobresaltos que me dio el corazón mientras allí estuve, los pensamientos que me ocurrieron, las consideraciones que hice, que fueron tantas y tales, que ni se pueden decir, ni aun es bien que se digan? Basta que sepáis que el desposado entró en la sala, sin otro adorno que los mesmos vestidos ordinarios que solía. Traía por padrino a un primo hermano de Luscinda, y en toda la sala no había persona de fuera, sino los criados de casa. De allí a un poco salió de una recamara Luscinda, acompañada de su madre y de dos doncellas suyas, tan bien aderezada y compuesta como su calidad y hermosura merecían, y como quien era la perfección de la gala y bizarría cortesana. No me dio lugar mi suspensión y arrobamiento para que mirase y notase en particular lo que traía vestido: sólo pude advertir a las colores, que eran encarnado y blanco, y en las vislumbres que las piedras y joyas del tocado y de todo el vestido hacían, a todo lo cual se aventajaba la belleza singular de sus hermosos y rubios cabellos, tales, que, en competencia de las preciosas piedras y de las luces de cuatro hachas que en la sala estaban, la suya con más resplandor a los ojos ofrecían.
+¡Oh memoria, enemiga modal de mi descanso! ¿De qué sirve representarme ahora la incomparable belleza de aquella adorada enemiga mía? ¿No será mejor, cruel memoria, que me acuerdes y representes lo que entonces hizo, para que, movido de tan manifiesto agravio procure, ya que no la venganza, a lo menos, perder la vida? No os canséis, señores, de oír estas digresiones que hago; que no es mi pena de aquellas que puedan ni deban contarse sucintamente y de paso, pues cada circunstancia suya me parece a mí que es digna de un largo discurso.
+A esto le respondió el cura que, no sólo no se cansaban de oírle. sino que les daba mucho gusto las menudencias que contaba, por ser tales, que merecían no pasarse en silencio, y la mesma atención que lo principal del cuento.
+-Digo, pues -prosiguió Cardenio-, que estando todos en la sala, entró el cura de la parroquia y, tomando a los dos por la mano para hacer lo que en tal acto se requiere, al decir: «¿Queréis, señora Luscinda, al señor don Fernando, que está presente, por vuestro legitimo esposo, como lo manda la Santa Madre Iglesia?», yo saqué toda la cabeza y cuello de entre los tapices, y con atentísimos oídos y alma turbada me puse a escuchar lo que Luscinda respondía, esperando de su respuesta la sentencia de mi muerte, o la confirmación de mi vida. ¡Oh, quién se atreviera a salir entonces, diciendo a voces: «¡Ah, Luscinda, Luscinda! Mira lo que haces; considera lo que me debes; mira que eres mía, y que no puedes ser de otro! Advierte que el decir tú si y el acabárseme la vida ha de ser todo a un punto. ¡Ah, traidor don Fernando, robador de mi gloria, muerte de mi vida! ¿Qué quieres? ¿Qué
+pretendes? Considera que no puedes cristianamente llegar al fin de tus deseos, porque Luscinda es mi esposa, y yo soy su marido.» ¡Ah loco de mí! ¡Ahora que estoy ausente y lejos del peligro digo que había de hacer lo que no hice! ¡Ahora que dejé robar mi cara prenda, maldigo al robador, de quien pudiera vengarme si tuviera corazón para ello, como le tengo para quejarme! En fin, pues fui entonces cobarde y necio, no es mucho que muera ahora corrido, arrepentido y loco.
+Estaba esperando el cura la respuesta de Luscinda, que se detuvo un buen espacio en darla, y cuando yo pensé que sacaba la daga para acreditarse o desataba la lengua para decir alguna verdad o desengaño que en mi provecho redundase, oigo que dijo con voz desmayada y flaca: «Sí quiero», y lo mesmo dijo don Fernando; y, dándole el anillo, quedaron en indisoluble nudo ligados. Llegó el desposado a abrazar a su esposa, y ella, poniéndose la mano sobre el corazón, cayó desmayada en los brazos de su madre. Resta ahora decir cuál quedé yo viendo en el sí que había oído burladas mis esperanzas, falsas las palabras y promesas de Luscinda, imposibilitado de cobrar en algún tiempo el bien que en aquel instante había perdido. Quedé falto de consejo, desamparado, a mi parecer, de todo el cielo, hecho enemigo de la tierra que me sustentaba, negándome el aire aliento para mis suspiros, y el agua humor para mis ojos; sólo el fuego se acrecentó, de manera que todo ardía de rabia y de celos. Alborotáronse todos con el desmayo de Luscinda, y, desabrochándole su madre el pecho para que le diese el aire, se descubrió en él un papel cerrado, que don Fernando tomo luego y se le puso a leer a la luz de una de las hachas; y en acabando de leerle, se sentó en una silla y se puso la mano en la mejilla, con muestras de hombre muy pensativo, sin acudir a los remedios que a su esposa se hacían para que del desmayo volviese.
+Yo, viendo alborotada toda la gente de casa, me aventuré a salir ora fuese visto o no, con determinación que si me viesen, de hacer un desatino tal, que todo el mundo viniera a entender la justa indignación de mi pecho en el castigo del falso don Fernando, y aun en el mudable de la desmayada traidora; pero mi suerte, que para mayores males, si es posible que los haya, me debe tener guardado, ordenó que en aquel punto me sobrase el entendimiento que después acá me ha faltado; y así, sin querer tomar venganza de mis mayores enemigos (que, por estar tan sin pensamiento mío fuera fácil tomarla), quise tomarla de mi mano, y ejecutar en mí la pena que ellos merecían, y aun quizá con más rigor del que con ellos se usara, si entonces les diera muerte, pues la que se recibe repentina presto acaba la pena; mas la que se dilata con tormentos siempre mata, sin acabar la vida. En fin, yo salí de aquella casa y vine a la de aquel donde había dejado la mula; hice que me la ensillase, sin despedirme dél subí en ella y salí de la ciudad, sin osar, como otro Lot, volver el rostro a miralla; y cuando me vi en el campo solo, y que la escuridad de la noche me encubría y su silencio convidaba a quejarme, sin respeto o miedo de ser escuchado ni conocido, solté la voz y desaté la lengua en tantas maldiciones de Luscinda y de don Femando, como si con ellas satisficiera el agravio que me habían hecho.
+Dile títulos de cruel, de ingrata, de falsa y desagradecida; pero, sobre todos, de codiciosa, pues la riqueza de mi enemigo la había cerrado los ojos de la voluntad, para quitármela a mi y entregarla a aquel con quien más liberal y franca la fortuna se había mostrado; y en la mitad de la fuga destas maldiciones y vituperios, la desculpaba, diciendo que no era mucho que una doncella recogida en casa de sus padres, hecha y acostumbrada siempre a obedecerlos, hubiese querido condecender con su gusto, pues le daban por esposo a un caballero tan principal, tan rico y tan gentil hombre, que, a no querer recibirle, se podía pensar, o que no tenía juicio, o que en otra parte tenía la voluntad, cosa que redundaba tan en perjuicio de su buena opinión y fama. Luego volvía diciendo que, puesto que ella dijera que yo era su esposo, vieran ellos que no había hecho en escogerme tan mala elección, que no la disculparan, pues antes de ofrecérseles don Femando, no
+pudieran ellos mesmos acertar a desear, si con razón midiesen su deseo, otro mejor que yo para esposo de su hija; y que bien pudiera ella, antes de ponerse en el trance forzoso y último de dar la mano, decir que ya yo le había dado la mía; que yo viniera y concediera con todo cuanto ella acertara a fingir en este caso. En fin, me resolví en que poco amor, poco juicio, mucha ambición y deseos de grandezas hicieron que se olvidase de las palabras con que me había engañado, entretenido y sustentado en mis firmes esperanzas y honestos deseos.
+Con estas voces y con esta inquietud caminé lo que quedaba de aquella noche, y di al amanecer en una entrada destas sierras, por las cuales caminé otros tres días, sin senda ni camino alguno, hasta que vine a parar a unos prados, que no sé a qué mano destas montañas caen, y de allí pregunté a unos ganaderos que hacia dónde era lo más áspero destas sierras. Dijéronme que hacia esta parte. Luego me encaminé a ella, con intención de acabar aquí la vida, y en entrando por estas asperezas, del cansancio y de la hambre se cayó mi mula muerta, o, lo que yo más creo, por desechar de sí tan inútil carga como en mí llevaba. Yo quedé a pie, rendido de la naturaleza, traspasado de hambre, sin tener, ni pensar buscar, quien me socorriese. De aquella manera estuve no sé qué tiempo, tendido en el suelo, al cabo del cual me levanté sin hambre, y hallé junto a mi a unos cabreros, que, sin duda, debieron ser los que mi necesidad remediaron, porque ellos me dijeron de la manera que me habían hallado, y cómo estaba diciendo tantos disparates y desatinos, que daba indicios claros de haber perdido el juicio; y yo he sentido en mi después acá que no todas veces le tengo cabal, sino tan desmedrado y flaco, que hago mil locuras, rasgándome los vestidos, dando voces por estas soledades, maldiciendo mi ventura y repitiendo en vano el nombre amado de mi enemiga, sin tener otro discurso ni intento entonces que procurar acabar la vida voceando; y cuando en mi vuelvo, me hallo tan cansado y molido, que apenas puedo moverme. Mi más común habitación es el hueco de un alcornoque, capaz de cubrir este miserable cuerpo.
+Los vaqueros y cabreros que andan por estas montañas, movidos de caridad, me sustentan, poniéndome el manjar por los caminos y por las peñas por donde entienden que acaso podré pasar y hallarlo; y así, aunque entonces me falte el juicio, la necesidad natural me da a conocer el mantenimiento, y despierta en mí el deseo de apetecerlo y la voluntad de tomarlo. Otras veces me dicen ellos, cuando me encuentran con juicio, que yo salgo a los caminos, y que se lo quito por fuerza, aunque me lo den de grado, a los pastores que vienen con ello del lugar a las majadas. Desta manera paso mi miserable y extrema vida, hasta que el cielo sea servido de conducirla a su último fin, o de ponerle en mi memoria, para que no me acuerde de la hermosura y de la traición de Luscinda y del agravio de don Fernando; que si esto él hace sin quitarme la vida, yo volveré a mejor discurso mis pensamientos; donde no, no hay sino rogarle que absolutamente tenga misericordia de mi alma; que yo no siento en mi valor ni fuerzas para sacar el cuerpo desta estrecheza en que por mi gusto he querido ponerle.
+Esta es, ¡oh señores!, la amarga historia de mi desgracia: decidme si es tal, que pueda celebrarse con menos sentimientos que los que en mi habéis visto, y no os canséis en persuadirme ni aconsejarme lo que la razón os dijere que puede ser bueno para mi remedio, porque ha de aprovechar conmigo lo que aprovecha la medicina recetada de famoso médico al enfermo que recibir no la quiere. Yo no quiero salud sin Luscinda; y pues ella gustó de ser ajena, siendo, o debiendo ser, mía, guste yo de ser de la desventura, pudiendo haber sido de la buena dicha. Ella quiso, con su mudanza, hacer estable mi perdición; yo querré, con procurar perderme, hacer contenta su voluntad, y será ejemplo a los porvenir de que a mí solo faltó lo que a todos los desdichados sobra, a los cuales suele ser consuelo la imposibilidad de tenerle, y en mi es causa de mayores sentimientos y males, porque aun pienso que no se han de acabar con la muerte.
+Aquí dio fin Cardenio a su larga plática y tan desdichada como amorosa historia; y al tiempo que el cura se prevenía para decirle algunas razones de consuelo, le suspendió una voz que llegó a sus oídos que en lastimados acentos oyeron que decía lo que se dirá en la cuarta parte desta narración; que en este punto dio fin a la tercera el sabio y atentado historiador Cide Hamete Benengeli.
+Capítulo 28: Que trata de la nueva y agradable aventura que al cura y barbero sucedió en la mesma sierra
+Felicísimos y venturosos fueron los tiempos donde se echó al mundo el audacísimo caballero don Quijote de la Mancha, pues por haber tenido tan honrosa determinación como fue el querer resucitar y volver al mundo la ya perdida y casi muerta orden de la andante caballería, gozamos ahora en nuestra edad, necesitada de alegres entretenimientos, no solo de la dulzura de su verdadera historia, sino de los cuentos y episodios della, que, en parte, no son menos agradables y artificiosos y verdaderos que la misma historia; la cual, prosiguiendo su rastrillado, torcido y aspado hilo, cuenta que así como el cura comenzó a prevenirse para consolar a Cardenio, lo impidió una voz que llegó a sus oídos, que, con tristes acentos, decía desta manera:
+-¡Ay, Dios! ¡Si será posible que he ya hallado lugar que pueda servir de escondida sepultura a la carga pesada deste cuerpo, que tan contra mi voluntad sostengo! Sí será, si la soledad que prometen estas sierras no me miente. ¡Ay, desdichada, y cuán mas agradable compañía harán estos riscos y malezas a mi intención, pues me darán lugar para que con quejas comunique mi desgracia al cielo, que no la de ningún hombre humano, pues no hay ninguno en la tierra de quien se pueda esperar consejo en las dudas, alivio en las quejas, ni remedio en los males!
+Todas estas razones oyeron y percibieron el cura y los que con él estaban, y por parecerles, como ello era, que allí junto las decían, se levantaron a buscar el dueño, y no hubieron andado veinte pasos, cuando detrás de un peñasco vieron sentado al pie de un fresno a un mozo vestido como labrador, al cual, por tener inclinado el rostro, a causa de que se lavaba los pies en el arroyo que por allí corría, no se le pudieron ver por entonces; y ellos llegaron con tanto silencio que dél no fueron sentidos, ni él estaba a otra cosa atento que a lavarse los pies, que eran tales, que no parecían sino dos pedazos de blanco cristal que entre las otras piedras del arroyo se habían nacido. Suspendióles la blancura y belleza de los pies, pareciéndoles que no estaban hechos a pisar terrones, ni a andar tras el arado y los bueyes, como mostraba el hábito de su dueño, y así, viendo que no habían sido sentidos, el cura, que iba delante, hizo señas a los otros dos que se agazapasen o escondiesen detrás de unos pedazos de peña que allí había, y así lo hicieron todos, mirando con atención lo que el mozo hacia; el cual traía puesto un capotillo pardo de dos haldas, muy ceñido al cuerpo con una toalla blanca. Traía ansimesmo unos calzones y polainas de paño pardo, y en la cabeza una montera parda. Tenía las polainas levantadas hasta la mitad de la pierna, que, sin duda alguna, de blanco alabastro parecía. Acabóse de lavar los hermosos pies, y luego, con un paño de tocar, que sacó de debajo de la montera, se los limpió; y al querer quitársele, alzó el rostro, y tuvieron lugar los que mirándole estaban de ver una hermosura incomparable, tal, que Cardenio dijo al cura, con voz baja:
+-Esta, ya que no es Luscinda, no es persona humana, sino divina.
+El mozo se quitó la montera y, sacudiendo la cabeza a una y a otra parte, se comenzaron a descoger y desparcir unos cabellos, que pudieran los del sol tenerles
+envidia. Con esto conocieron que el que parecía labrador era mujer, y delicada, y aun la más hermosa que hasta entonces los ojos de los dos habían visto, y aun los de Cardenio, si no hubieran mirado y conocido a Luscinda; que después afirmó que sola la belleza de Luscinda podía contender con aquélla. Los luengos y rubios cabellos no sólo le cubrieron las espaldas, mas toda en torno la escondieron debajo de ellos, que si no eran los pies, ninguna otra cosa de su cuerpo se parecía: tales y tantos eran. En esto, les sirvió de peine unas manos, que si los pies en el agua habían parecido pedazos de cristal, las manos en los cabellos semejaban pedazos de apretada nieve; todo lo cual en más admiración, y en más deseo de saber quién era, ponía a los tres que la miraban. Por esto determinaron de mostrarse; y al movimiento que hicieron de ponerse en pie, la hermosa moza alzó la cabeza y, apartándose los cabellos de delante de los ojos con entrambas manos, miró los que el ruido hacían; y apenas los hubo visto, cuando se levantó en pie y, sin aguardar a calzarse, ni a recoger los cabellos, asió con mucha presteza un bulto, como de ropa, que junto a si tenía, y quiso ponerse en huida, llena de turbación y sobresalto; mas no hubo dado seis pasos, cuando, no pudiendo sufrir los delicados pies la aspereza de las piedras, dio consigo en el suelo. Lo cual visto por los tres, salieron a ella, y el cura fue el primero que le dijo:
+-Deteneos, señora, quienquiera que seáis; que los que aquí veis sólo tienen intención de serviros: no hay para que os pongáis en tan impertinente huida, porque ni vuestros pies lo podrán sufrir, ni nosotros consentir.
+A todo esto ella no respondía palabra, atónita y confusa. Llegaron, pues, a ella, y asiéndola por la mano el cura, prosiguió diciendo:
+-Lo que vuestro traje, señora, nos niega, vuestros cabellos nos descubren: señales claras que no deben de ser de poco momento las causas que han disfrazado vuestra belleza en hábito tan indigno, y traídola a tanta soledad como es ésta, en la cual ha sido ventura el hallaros, si no para dar remedio a vuestros males, a lo menos, para darles consejo, pues ningún mal puede fatigar tanto, ni llegar tan al extremo de serlo, mientras no acaba la vida, que rehuya de no escuchar, siquiera, el consejo que con buena intención se le da al que lo padece. Así que, señora mía, o señor mío, lo que vos quisiéredes ser, perded el sobresalto que nuestra vista os ha causado, y contadnos vuestra buena o mala suerte; que en nosotros juntos, o en cada uno, hallaréis quien os ayude a sentir vuestras desgracias.
+En tanto que el cura decía estas razones estaba la disfrazada moza como embelesada, mirándolos a todos, sin mover labio ni decir palabra alguna, bien así como rústico aldeano que de improviso se le muestran cosas raras y dél jamás vistas. Mas volviendo el cura a decirle otras razones al mesmo efeto encaminadas, dando ella un profundo suspiro, rompió el silencio y dijo:
+-Pues que la soledad destas sierras no ha sido parte para encubrirme, ni la soltura de mis descompuestos cabellos no ha permitido que sea mentirosa mi lengua, en balde seria fingir yo de nuevo ahora lo que si se me creyese, sería más por cortesía que por otra razón alguna. Presupuesto esto, digo, señores, que os agradezco el ofrecimiento que me habéis hecho, el cual me ha puesto en obligación de satisfaceros en todo lo que me habéis pedido, puesto que temo que la relación que os hiciere de mis desdichas os ha de causar, al par de la compasión, la pesadumbre, porque no habéis de hallar remedio para remediarlas, ni consuelo para entretenerlas. Pero, con todo esto, porque no ande vacilando mi honra en vuestras intenciones, habiéndome ya conocido por mujer y viéndome moza, sola y en este traje, cosas, todas juntas, y cada una por si, que pueden echar por tierra cualquier honesto crédito, os habré de decir lo que quisiera callar, si pudiera.
+Todo esto dijo sin parar la que tan hermosa mujer parecía, con tal suelta lengua, con voz tan suave, que no menos les admiró su discreción que su hermosura. Y tornándole a hacer nuevos ofrecimientos y nuevos ruegos para que lo prometido cumpliese, ella, sin hacer más de rogar, calzándose con toda honestidad y recogiendo sus cabellos, se acomodó en el asiento de una piedra, y, puestos los tres alrededor della, haciéndose fuerza por detener algunas lágrimas que a los ojos se le venían, con voz reposada y clara comenzó la historia de su vida desta manera:
+-En esta Andalucía hay un lugar de quien toma título un duque, que le hace uno de los que llaman grandes en España; éste tiene dos hijos: el mayor, heredero de su estado y, al parecer, de sus buenas costumbres, y el menor no sé yo de qué sea heredero, sino de las traiciones de Vellido y de los embustes de Galalón. Deste señor son vasallos mis padres, humildes en linaje, pero tan ricos, que si los bienes de su naturaleza igualaran a los de su fortuna, ni ellos tuvieran más que desear ni yo temiera yerme en la desdicha en que me veo; porque quizá nace mi poca ventura de la que no tuvieron ellos en no haber nacido ilustres. Bien es verdad que no son tan bajos, que puedan afrentarse de su estado, ni tan altos, que a mi me quiten la imaginación que tengo de que de su humildad viene mi desgracia. Ellos, en fin, son labradores, gente llana, sin mezcla de alguna raza mal sonante, y, como suele decirse, cristianos viejos ranciosos; pero tan ricos, que su riqueza y magnífico trato les va poco a poco adquiriendo nombre de hidalgos, y aun de caballeros. Puesto que de la mayor riqueza y nobleza que ellos se preciaban era de tenerme a mí por hija; y así por no tener otra ni otro que los heredase como por ser padres y aficionados, yo era una de las más regaladas hijas que padres jamás regalaron.
+Era el espejo en que se miraban, el báculo de su vejez, y el sujeto a quien encaminaban, midiéndolos con el cielo, todos sus deseos; de los cuales, por ser ellos tan buenos, los míos no salían un punto. Y del mismo modo que yo era señora de sus ánimos, ansí lo era de su hacienda: por mí se recebían y despedían los criados; la razón y cuenta de lo que se sembraba y cogía pasaba por mi mano; los molinos de aceite, los lagares del vino, el número del ganado mayor y menor, el de las colmenas. Finalmente, de todo aquello que un tan rico labrador como mi padre puede tener y tiene, tenía yo la cuenta, y era la mayordoma y señora, con tanta solicitud mía y con tanto gusto suyo, que buenamente no acertaré a encarecerlo. Los ratos que del día me quedaban, después de haber dado lo que convenía a los mayorales, a capataces y a otros jornaleros, los entretenía en ejercicios que son a las doncellas tan lícitos como necesarios, como son los que ofrece la aguja y la almohadilla, y la rueca muchas veces; y si alguna, por recrear el ánimo, estos ejercicios dejaba, me acogía al entretenimiento de leer algún libro devoto, o a tocar una arpa, porque la experiencia me mostraba que la música compone los ánimos descompuestos y alivia los trabajos que nacen del espíritu. Esta, pues, era la vida que yo tenía en casa de mis padres, la cual si tan particularmente he contado, no ha sido por ostentación, ni por dar a entender que soy rica, sino porque se advierta cuán sin culpa me he venido de aquel buen estado que he dicho al infelice en que ahora me hallo.
+Es, pues, el caso que, pasando mi vida en tantas ocupaciones y en un encerramiento tal, que al de un monesterio pudiera compararse, sin ser vista, a mi parecer, de otra persona alguna que de los criados de casa, porque los días que iba a misa era tan de mañana, y tan acompañada de mi madre y de otras criadas, y yo tan cubierta y recatada, que apenas veían mis ojos más tierra de aquella donde ponía los pies, y, con todo esto, los del amor, o los de la ociosidad, por mejor decir, a quien los de lince no pueden igualarse, me vieron, puestos en la solicitud de don Fernando, que éste es el nombre del hijo menor del duque que os he contado.
+No hubo bien nombrado a don Fernando la que el cuento contaba, cuando a Cardenio se le mudó la color del rostro, y comenzó a trasudar, con tan grande alteración, que el cura y el barbero, que miraron en ello, temieron que le venía aquel accidente de locura que habían oído decir que de cuando en cuando le venía. Mas Cardenio no hizo otra cosa que trasudar y estarse quedo, mirando de hito en hito a la labradora, imaginando quién ella era; la cual, sin advertir en los movimientos de Cardenio, prosiguió su historia, diciendo:
+-Y no me hubieron bien visto, cuando, según él dijo después, quedó tan preso de mis amores cuanto lo dieron bien a entender sus demostraciones. Mas por acabar presto con el cuento, que no le tiene, de mis desdichas, quiero pasar en silencio las diligencias que don Fernando hizo para declararme su voluntad: sobornó toda la gente de mi casa; dio y ofreció dádivas y mercedes a mis parientes; los días eran todos de fiesta y de regocijo en mi calle; las noches no dejaban dormir a nadie las músicas; los billetes que, sin saber cómo, a mis manos venían, eran infinitos, llenos de enamoradas razones y ofrecimientos, con menos letras que promesas y juramentos. Todo lo cual no sólo no me ablandaba, pero me endurecía de manera como si fuera mi modal enemigo, y que todas las obras que para reducirme a su voluntad hacia, las hiciera para el efeto contrario; no porque a mí me pareciese mal la gentileza de don Fernando, ni que tuviese a demasía sus solicitudes; porque me daba un no sé qué de contento yerme tan querida y estimada de un tan principal caballero, y no me pesaba ver en sus papeles mis alabanzas; que en esto, por feas que seamos las mujeres. me parece a mi que siempre nos da gusto oír que nos llaman hermosas. Pero a todo esto se oponía mi honestidad, y los consejos continuos que mis padres me daban, que ya muy al descubierto sabían la voluntad de don Fernando, porque ya a él no se le daba nada de que todo el mundo lo supiese.
+Decíanme mis padres que en sola mi virtud y bondad dejaban y depositaban su honra y fama, y que considerase la desigualdad que había entre mí y don Fernando, y que por aquí echaría de ver que sus pensamientos, aunque él dijese otra cosa, más se encaminaban a su gusto que a mi provecho; y que si yo quisiese poner en alguna manera algún inconveniente para que él se dejase de su injusta pretensión, que ellos me casarían luego con quien yo mas gustase, así de los más principales de nuestro lugar como de todos los circunvecinos, pues todo se podía esperar de su mucha hacienda y de mi buena fama. Con estos ciertos prometimientos, y con la verdad que ellos me decían, fortificaba yo mi entereza, y jamás quise responder a don Femando palabra que le pudiese mostrar, aunque de muy lejos, esperanta de alcanzar su deseo.
+Todos estos recatos míos, que él había de tener por desdenes, debieron de ser causa de avivar más su lascivo apetito, que este nombre quiero dar a la voluntad que me mostraba; la cual, si ella fuera como debía, no la supiérades vosotros ahora, porque hubiera faltado la ocasión de decirosla. Finalmente, don Fernando supo que mis padres andaban por darme estado, por quitalle a él la esperanza de poseerme, o, a lo menos, porque yo tuviese más guardas para guardarme, y esta nueva o sospecha fue causa para que hiciese lo que ahora oiréis. Y fue que una noche, estando yo en mi aposento con sola la compañía de una doncella que me servia, teniendo bien cerradas las puertas, por temor que, por descuido, mi honestidad no se viese en peligro, sin saber ni imaginar cómo, en medio destos recatos y prevenciones, y en la soledad deste silencio y encierro, me le hallé delante, cuya vista me turbó de manera que me quitó la de mis ojos y me enmudeció la lengua; y así, no fui poderosa de dar voces, ni aun él creo que me las dejara dar, porque luego se llegó a mí, y tomándome entre sus brazos (porque yo, como digo, no tuve fuerzas para defenderme, según estaba turbada), comenzó a decirme tales razones, que no sé cómo es posible que tenga tanta habilidad la mentira, que las sepa componer de modo que parezcan tan verdaderas. Hacía el
+traidor que sus lágrimas acreditasen sus palabras, y los suspiros su intención. Yo, pobrecilla, sola entre los míos, mal ejercitada en casos semejantes, comencé, no sé en qué modo, a tener por verdaderas tantas falsedades, pero no de suerte que me moviesen a compasión menos que buena sus lágrimas y suspiros; y así, pasándome aquel sobresalto primero, torné algún tanto a cobrar mis perdidos espíritus, y con más ánimo del que pensé que pudiera tener, le dije:
+«-Si como estoy, señor, en tus brazos, estuviera en los de un león fiero, y el librarme dellos se me asegurara con que hiciera, o dijera, cosa que fuera en perjuicio de mi honestidad, así fuera posible hacella o decilla como es posible dejar de haber sido lo que fue. Así que, si tú tienes ceñido mi cuerno con tus brazos, yo tengo atada mi alma con mis buenos deseos, que son tan diferentes de los tuyos como lo verás, si con hacerme fuerza quisieres pasar adelante en ellos. Tu vasalla soy, pero no tu esclava; ni tiene ni debe tener imperio la nobleza de tu sangre para deshonrar y tener en poco la humildad de la mía; y en tanto me estimo yo, villana y labradora, como tú, señor y caballero. Conmigo no han de ser de ningún efecto tus fuerzas, ni han de tener valor tus riquezas, ni tus palabras han de poder engañarme, ni tus suspiros y lágrimas enternecerme. Si alguna de todas estas cosas que he dicho viera yo en el que mis padres me dieran por esposo, a su voluntad se ajustara la mía, y mi voluntad de la suya no saliera; de modo que, como quedara con honra, aunque quedara sin gusto, de grado te entregara lo que tú, señor, ahora con tanta fuerza procuras. Todo esto he dicho porque no es pensar que de mi alcance cosa alguna el que no fuese mi legítimo esposo.»
+«-Si no reparas más que en eso, bellísima Dorotea (que éste es el nombre desta desdichada) -dijo el desleal caballero-, ves aquí te doy la mano de serlo tuyo, y sean testigos desta verdad los cielos, a quien ninguna cosa se esconde, y esta imagen de Nuestra Señora que aquí tienes.»
+Cuando Cardenio le oyó decir que se llamaba Dorotea, tomó de nuevo a sus sobresaltos y acabó de confirmar por verdadera su primera opinión; pero no quiso interromper el cuento, por ver en qué venia a parar lo que él ya casi sabia; sólo dijo:
+-¿Que Dorotea es tu nombre, señora? Otra he oído yo decir del mesmo, que quizá corre parejas con tus desdichas. Pasa adelante, que tiempo vendrá en que te diga cosas que te espanten en el mesmo grado que te lastimen.
+Reparó Dorotea en las razones de Cardenio y en su extraño y desastrado traje, y rogóle que si alguna cosa de su hacienda sabía, se la dijese luego; porque si algo le había dejado bueno la fortuna, era el ánimo que tenía para sufrir cualquier desastre que le sobreviniese, segura de que, a su parecer, ninguno podía llegar que el que tenía acrecentase un punto.
+-No le perdiera yo, señora -respondió Cardenio-, en decirte lo que pienso, si fuera verdad lo que imagino; y hasta ahora no se pierde coyuntura, ni a ti te importa nada el saberlo.
+-Sea lo que fuere -respondió Dorotea-, lo que en mi cuento pasa fue que tomando don Fernando una imagen que en aquel aposento estaba, la puso por testigo de nuestro desposorio; con palabras eficacísimas y juramentos extraordinarios me dio la palabra de ser mi marido, puesto que, antes que acabase de decirlas, le dije que mirase bien lo que hacía, y que considerase el enojo que su padre había de recebir de verle casado con una villana, vasalla suya; que no le cegase mi hermosura, tal cual era, pues no era bastante para hallar en ella disculpa de su yerro, y que si algún bien me queda hacer, por el amor que me tenía, fuese dejar correr mi suerte
+a lo igual de lo que mi calidad pedía, porque nunca los tan desiguales casamientos se gozan ni duran mucho en aquel gusto con que se comienzan.
+Todas estas razones que aquí he dicho le dije, y otras muchas de que no me acuerdo; pero no fueron parte para que él dejase de seguir su intento, bien ansí como el que no piensa pagar, que, al concertar de la barata, no repara en inconvenientes.
+Yo, a esta sazón, hice un breve discurso conmigo, y me dije a mi mesma: «Si, que no seré yo la primera que por vía de matrimonio haya subido de humilde a grande estado, ni será don Fernando el primero a quien hermosura, o ciega afición, que es lo más cierto, haya hecho tomar compañía desigual a su grandeza. Pues si no hago ni mundo ni uso nuevo, bien es acudir a esta honra que la suerte me ofrece, puesto que en éste no dure más la voluntad que me muestra de cuanto dure el cumplimiento de su deseo; que, en fin, para con Dios seré su esposa. Y si quiero con desdenes despedille, en término le veo que, no usando el que debe, usará el de la fuerza, y vendré a quedar deshonrada y sin disculpa de la culpa que me podía dar el que no supiere cuán sin ella he venido a este punto. Porque ¿qué razones serán bastantes para persuadir a mis padres, y a otros, que este caballero entró en mi aposento sin consentimiento mío?»
+Todas estas demandas y respuestas revolví en un instante en la imaginación, y, sobre todo, me comenzaron a hacer fuerza y a inclinarme a lo que fue, sin yo pensarlo, mi perdición, los juramentos de don Fernando, los testigos que ponía, la lágrimas que derramaba y, finalmente, su disposición y gentileza, que, acompañada con tantas muestras de verdadero amor, pudieran rendir a otro tan libre y recatado corazón como el mío. Llamé a mi criada, para que en la tierra acompañase a los testigos del cielo; tornó don Fernando a reiterar y confirmar sus juramentos; añadió a los primeros nuevos santos por testigos; echóse mil futuras maldiciones si no cumpliese lo que me prometía; volvió a humedecer sus ojos y a acrecentar sus suspiros; apretóme más entre sus brazos, de los cuales jamás me había dejado, y con esto, y con volverse a salir del aposento mi doncella, yo dejé de serlo y el acabó de ser traidor y fementido.
+El día que sucedió a la noche de mi desgracia se venia aún no tan apriesa como yo pienso que don Fernando deseaba; porque después de cumplido aquello que el apetito pide, el mayor gusto que puede venir es apartarse de donde le alcanzaron. Digo esto, porque don Fernando dio priesa por partirse de mi, y por industria de mi doncella, que era la misma que allí le había traído, antes que amaneciese se vio en la calle. Y al despedirse de mí, aunque no con tanto ahínco y vehemencia como cuando vino, me dijo que estuviese segura de su fe, y de ser firmes y verdaderos sus juramentos; y, para más confirmación de su palabra, sacó un rico anillo del dedo y lo puso en el mío. En efecto, él se fue, y yo quedé ni sé si triste o alegre; esto sé bien decir: que quedé confusa y pensativa y casi fuera de mí con el nuevo acaecimiento, y no tuve ánimo, o no se me acordó, de reñir a mi doncella por la traición cometida de encerrar a don Fernando en mi mismo aposento, porque aún no me determinaba si era bien o mal el que me había sucedido. Díjele, al partir, a don Femando que por el mesmo camino de aquélla podría yerme otras noches, pues ya era suya hasta que, cuando él quisiese, aquel hecho se publicase. Pero no vino otra alguna, si no fue la siguiente, ni yo pude verle en la calle ni en la iglesia en más de un mes; que en vano me cansé en solicitallo, puesto que supe que estaba en la villa y que los más días iba a caza, ejercicio de que él era muy aficionado.
+Estos días y estas horas bien sé yo que para mí fueron aciagos y menguadas, y bien sé que comencé a dudar en ellos, y aun a descreer de la fe de don Fernando; y
+sé también que mi doncella oyó entonces las palabras que en reprehensión de su atrevimiento antes no había oído; y sé que me fue forzoso tener cuenta con mis lagrimas y con la compostura de mí rostro, por no dar ocasión a que mis padres me preguntasen que de que andaba descontenta y me obligasen a buscar mentiras que decilles. Pero todo esto se acabó en un punto, llegándose uno donde se atropellaron respetos y se acabaron los honrados discursos, y adonde se perdió la paciencia y salieron a plaza mis secretos pensamientos. Y esto fue porque de allí a pocos días se dijo en el lugar cómo en una ciudad allí cerca se había casado don Fernando con una doncella hermosísima en todo extremo, y de muy principales padres, aunque no tan rica, que por la dote pudiera aspirar a tan noble casamiento. Díjose que se llamaba Luscinda, con otras cosas que en sus desposorios sucedieron, dignas de admiración.
+Oyó Cardenio el nombre de Luscinda, y no hizo otra cosa que encoger los hombros, morderse los labios, enarcar las cejas y dejar de allí a poco caer por sus ojos dos fuentes de lágrimas; mas no por eso dejó Dorotea de seguir su cuento, diciendo:
+-Llegó esta triste nueva a mis oídos, y, en lugar de helárseme el corazón en oílla, fue tanta la cólera y rabia que se encendió en él, que faltó poco para no salirme por las calles dando voces, publicando la alevosía y traición que se me había hecho. Mas templóse esta furia por entonces con pensar de poner aquella mesma noche por obra lo que puse; que fue ponerme en este hábito, que me dio uno de los que llaman zagales en casa de los labradores, que era criado de mi padre, al cual descubrí toda mi desventura, y le rogué me acompañase hasta la ciudad donde entendí que mi enemigo estaba. El, después que hubo reprehendido mi atrevimiento y afeado mi determinación, viéndome resuelta en mi parecer, se ofreció a tenerme compañía, como él dijo, hasta el cabo del mundo. Luego al momento encerré en una almohada de lienzo un vestido de mujer, y algunas joyas y dineros, por lo que podía suceder, y en el silencio de aquella noche, sin dar cuenta a mi traidora doncella, salí de mi casa, acompañada de mi criado, y de muchas imaginaciones, y me puse en camino de la ciudad a píe, llevada en vuelo del deseo de llegar, ya que no a estorbar lo que tenía por hecho, a lo menos, a decir a don Fernando me dijese con qué alma lo había hecho. Llegué en dos días y medio donde quería, y en entrando por la ciudad pregunté por la casa de los padres de Luscinda, y el primero a quien hice la pregunta me respondió más de lo que yo quisiera oír. Díjome la casa, y todo lo que había sucedido en el desposorio de su hija, cosa tan pública en la ciudad, que se hacían corrillos para contarla por toda ella. Díjome que la noche que don Fernando se desposó con Luscinda, después de haber ella dado el sí de ser su esposa, le había tomado un recio desmayo, y que llegando su esposo a desabrocharle el pecho para que le diese el aire, le halló un papel escrito de la misma letra de Luscinda, en que decía y declaraba que ella no podía ser esposa de don Fernando, porque lo era de Cardenio que, a lo que el hombre me dijo, era un caballero muy principal de la mesma ciudad; y que si había dado el sí a don Fernando, fue por no salir de la obediencia de sus padres. En resolución, tales razones dijo que contenía el papel, que daba a entender que ella había tenido intención de matarse en acabándose de desposar, y daba allí las razones por que se había quitado la vida; todo lo cual dicen que confirmó una daga que le hallaron no sé en qué parte de sus vestidos. Todo lo cual visto por don Fernando, pareciéndole que Luscinda le había burlado y escarnecido y tenido en poco, arremetió a ella antes que de su desmayo volviese, y con la misma daga que le hallaron la quiso dar de puñaladas, y lo hiciera si sus padres y los que se hallaron presentes no se lo estorbaran. Dijeron más: que luego se ausentó don Fernando, y que Luscinda no había vuelto de su parasismo hasta otro día, que contó a sus padres cómo ella era verdadera esposa de aquel Cardenio que he dicho. Supe más: que el Cardenio, según decían, se halló presente a los desposorios, y que en viéndola desposada, lo cual él jamás pensó, se salió de la ciudad desesperado, dejándole primero escrita una carta, donde daba a entender el agravio que
+Luscinda le había hecho, y de cómo él se iba adonde gentes no le viesen. Esto todo era público y notorio en toda la ciudad, y todos hablaban dello, y más hablaron cuando supieron que Luscinda había faltado de casa de sus padres, y de la ciudad, pues no la hallaron en toda ella, de que perdían el juicio sus padres, y no sabían qué medio se tomar para hallarla. Esto que supe puso en bando mis esperanzas, y tuve por mejor no haber hallado a don Fernando, que no hallarle casado, pareciéndome que aún no estaba del todo cerrada la puerta a mi remedio, dandome yo a entender que podría ser que el cielo hubiese puesto aquel impedimento en el segundo matrimonio, por atraerle a conocer lo que al primero debía, y a caer en la cuenta de que era cristiano, y que estaba más obligado a su alma que a los respetos humanos. Todas estas cosas revolvía en mi fantasía, y me consolaba sin tener consuelo, fingiendo unas esperanzas largas y desmayadas, para entretener la vida que ya aborrezco.
+Estando, pues, en la ciudad sin saber qué hacerme, pues a don Femando no hallaba, llegó a mis oídos un público pregón, donde se prometía grande hallazgo a quien me hallase, dando las señas de la edad y del mesmo traje que traía; y oí decir que se decía que me había sacado de casa de mis padres el mozo que conmigo vino, cosa que me llegó al alma, por ver cuán de caída andaba mi crédito, pues no bastaba perderle con mi venida, sino añadir el con quién, siendo sujeto tan bajo y tan indigno de mis buenos pensamientos. Al punto que oí el pregón, me salí de la ciudad con mi criado, que ya comenzaba a dar muestras de titubear en la fe que de fidelidad me tenía prometida, y aquella noche nos entramos por lo espeso desta montaña, con el miedo de no ser hallados. Pero como suele decirse que un mal llama a otro, y que el fin de una desgracia suele ser principio de otra mayor, así me sucedió a mi, porque mi buen criado, hasta entonces fiel y seguro, así como me vio en esta soledad, incitado de su mesma bellaquería antes que de mi hermosura, quiso aprovecharse de la ocasión que, a su parecer, estos yermos le ofrecían, y, con poca vergüenza y menos temor de Dios ni respeto mío, me requirió de amores; y, viendo que yo con feas y justas palabras respondía a las desvergüenzas de sus propósitos, dejó aparte los ruegos, de quien primero pensó aprovecharse, y comenzó a usar de la fuerza. Pero el justo cielo, que pocas o ningunas veces deja de mirar y favorecer a las justas intenciones, favoreció las mías, de manera, que con mis pocas fuerzas, y con poco trabajo, di con él por un derrumbadero, donde le dejé, ni sé si muerto o si vivo; y luego con más ligereza que mi sobresalto y cansancio pedían, me entré por estas montañas, sin llevar otro pensamiento ni otro designio que esconderme en ellas y huir de mi padre y de aquellos que de su parte me andaban buscando. Con este deseo ha no sé cuántos meses que entré en ellas, donde hallé un ganadero que me llevó por su criado a un lugar que está en las entrañas desta sierra, al cual he servido de zagal todo este tiempo, procurando estar siempre en el campo por encubrir estos cabellos que ahora, tan sin pensarlo, me han descubierto. Pero toda mi industria y toda mi solicitud fue y ha sido de ningún provecho, pues mi amo vino en conocimiento de que yo no era varón, y nació en él el mesmo mal pensamiento que en mi criado; y como no siempre la fortuna con los trabajos da los remedios, no hallé derrumbadero ni barranco de donde despeñar y despenar al amo, como le hallé para el criado, y así, tuve por menor inconveniente dejalle y esconderme de nuevo entre estas asperezas que probar con él mis fuerzas o mis disculpas. Digo, pues, que me torné a emboscar, y a buscar donde sin impedimento alguno pudiese con suspiros y lágrimas rogar al cielo se duela de mi desventura y me dé industria y favor para salir della, o para dejar la vida entre estas soledades, sin que quede memoria desta triste, que tan sin culpa suya habrá dado materia para que de ella se hable y murmure en la suya y en las ajenas tierras.
+Capítulo 29: Que trata del gracioso artificio y orden que se tuvo en sacar a nuestro enamorado caballero de la asperísima penitencia en que se había puesto
+-Esta es, señores, la verdadera historia de mi tragedia: mirad y juzgad ahora si los suspiros que escuchastes, las palabras que oístes y las lágrimas que de mis ojos salían tenían ocasión bastante para mostrarse, en mayor abundancia; y, considerada la calidad de mi desgracia, veréis que será en vano el consuelo, pues es imposible el remedio della. Sólo os ruego (lo que con facilidad podréis y debéis hacer) que me aconsejéis dónde podré pasar la vida sin que me acabe el temor y sobresalto que tengo de ser hallada de los que me buscan; que aunque sé que el mucho amor que mis padres me tienen me asegura que seré dellos bien recebida, es tanta la vergüenza que me ocupa sólo al pensar que, no como ellos pensaban, tengo que parecer a su presencia, que tengo por mejor desterrarme para siempre de ser vista que no verles el rostro, con pensamiento que ellos miran el mío ajeno de la honestidad que de mí se debían de tener prometida.
+Calló en diciendo esto, y el rostro se le cubrió de un color que mostró bien claro el sentimiento y vergüenza del alma. En las suyas sintieron los que escuchado la habían tanta lástima como admiración de su desgracia; y aunque luego quisiera el cura consolarla y aconsejarla, tomó primero la mano Cardenio, diciendo:
+-En fin, señora, ¿que tú eres la hermosa Dorotea, la hija única del rico Clenardo?
+Admirada quedó Dorotea cuando oyó el nombre de su padre, y de ver cuán de poco era el que le nombraba, porque ya se ha dicho de la mala manera que Cardenio estaba vestido, y así, le dijo:
+-Y ¿quién sois vos, hermano, que así sabéis el nombre de mi padre? Porque yo, hasta ahora si mal no me acuerdo, en todo el discurso del cuento de mi desdicha no le he nombrado.
+-Soy -respondió Cardenio- aquel sin ventura que, según vos, señora, habéis dicho, Luscinda dijo que era su esposa. Soy el desdichado Cardenio, a quien el mal término de aquel que a vos os ha puesto en el que estáis me ha traído a que me veáis cual me veis, roto, desnudo, falto de todo humano consuelo y, lo que es peor de todo, falto de juicio, pues no le tengo sino cuando al cielo se le antoja dármele por algún breve espacio. Yo, Dorotea, soy el que me hallé presente a las sinrazones de don Fernando, y el que aguardó a oír el sí que de ser su esposa pronuncio Luscinda. Yo soy el que no tuvo ánimo para ver en qué paraba su desmayo, ni lo que resultaba del papel que le fue hallado en el pecho, porque no tuvo el alma sufrimiento para ver tantas desventuras juntas; y así, dejé la casa y la paciencia, y una carta, que dejé a un huésped mío, a quien rogué que en manos de Luscinda la pusiese, y víneme a estas soledades, con intención de acabar en ellas la vida, que desde aquel punto aborrecí, como mortal enemiga mía. Mas no ha querido la suerte quitármela, contentándose con quitarme el juicio, quizá por guardarme para la buena ventura que he tenido en hallaros; pues siendo verdad, como creo que lo es, lo que aquí habéis contado, aún podría ser que a entrambos nos tuviese el cielo
+guardado mejor suceso en nuestros desastres que nosotros pensamos. Porque, presupuesto que Luscinda no puede casarse con don Fernando, por ser mía, ni don Fernando con ella, por ser vuestro, y haberlo ella tan manifiestamente declarado, bien podemos esperar que el cielo nos restituya lo que es nuestro, pues está todavía en ser, y no se ha enajenado ni deshecho. Y pues este consuelo tenemos, nacido no de muy remota esperanza, ni fundado en desvariadas imaginaciones, suplicoos, señora, que toméis otra resolución en vuestros honrados pensamientos, pues yo la pienso tomar en los míos, acomodándoos a esperar mejor fortuna; que yo os juro por la fe de caballero y de cristiano de no desampararos hasta veros en poder de don Fernando, y que cuando con razones no le pudiere atraer a que conozca lo que os debe, de usar entonces la libertad que me concede el ser caballero, y poder con justo título desafialle, en razón de la sinrazón que os hace, sin acordarme de mis agravios, cuya venganza dejaré al cielo, por acudir en la tierra a los vuestros.
+Con lo que Cardenio dijo, se acabó de admirar Dorotea, y, por no saber qué gracias volver a tan grandes ofrecimientos, quiso tomarle los pies para besárselos; mas no lo consintió Cardenio, y el licenciado respondió por entrambos, y aprobó el buen discurso de Cardenio, y, sobre todo, les rogó, aconsejó y persuadió que se fuesen con él a su aldea, donde se podrían reparar de las cosas que les faltaban, y que allí se daría orden cómo buscar a don Fernando, o cómo llevar a Dorotea a sus padres, o hacer lo que más les pareciese conveniente. Cardenio y Dorotea se lo agradecieron, y acetaron la merced que se les ofrecía. El barbero, que a todo había estado suspenso y callado, hizo también su buena plática y se ofreció con no menos voluntad que el cura a todo aquello que fuese bueno para servirles. Contó asimesmo con brevedad la causa que allí los había traído, con la extrañeza de la locura de don Quijote, y cómo aguardaban a su escudero, que había ido a buscalle. Vínosele a la memoria a Cardenio, como por sueños, la pendencia que con don Quijote había tenido, y contóla a los demás; mas no supo decir por qué causa fue su cuestión.
+En esto, oyeron voces y conocieron que el que las daba era Sancho Panza, que, por no haberlos hallado en el lugar donde los dejó, los llamaba a voces. Saliéronle al encuentro y, preguntándole por don Quijote, les dijo cómo le había hallado desnudo en camisa, flaco, amarillo y muerto de hambre, y suspirando por su señora Dulcinea; y que puesto que le había dicho que ella le mandaba que saliese de aquel lugar y se fuese al del Toboso. donde le quedaba esperando, había respondido que estaba determinado de no parecer ante su fermosura fasta que hobiese fecho fazañas que le ficiesen digno de su gracia. Y que si aquello pasaba adelante, corría peligro de no venir a ser emperador, como estaba obligado, ni aun arzobispo, que era lo menos que podía ser: por eso, que mirasen lo que se había de hacer para sacarle de allí. El licenciado le respondió que no tuviese pena; que ellos le sacarían de allí, mal que le pesase. Contó luego a Cardenio y a Dorotea lo que tenían pensado para remedio de don Quijote, a lo menos para llevarle a su casa; a lo cual dijo Dorotea que ella haría la doncella menesterosa mejor que el barbero, y más, que tenía allí vestidos con que hacerlo al natural, y que la dejasen el cargo de saber representar todo aquello que fuese menester para llevar adelante su intento, porque ella había leído muchos libros de caballerías y sabía bien el estilo que tenían las doncellas cuitadas cuando pedían sus dones a los andantes caballeros.
+-Pues no es menester más -dijo el cura- sino que luego se ponga por obra; que, sin duda, la buena suerte se muestra en favor nuestro, pues, tan sin pensarlo, a vosotros, señores, se os ha comenzado a abrir puerta para vuestro remedio, y a nosotros se nos ha facilitado la que habíamos menester.
+Sacó luego Dorotea de su almohada una saya entera de cierta telilla rica y una mantellina de otra vistosa tela verde, y de una cajita un collar y otras joyas, con
+que en un instante se adornó, de manera que una rica y gran señora parecía. Todo aquello, y más, dijo que había sacado de su casa para lo que se ofreciese, y que hasta entonces no se le había ofrecido ocasión de habello menester. A todos contentó en extremo su mucha gracia, donaire y hermosura, y confirmaron a don Fernando por de poco conocimiento, pues tanta belleza desechaba. Pero el que más se admiró fue Sancho Panza, por parecerle (como era así verdad) que en todos los días de su vida había visto tan hermosa criatura; y así, preguntó al cura con grande ahínco le dijese quién era aquella tan fermosa señora, y qué era lo que buscaba por aquellos andurriales.
+-Esta hermosa señora -respondió el cura-, Sancho hermano, es, como quien no dice nada, es la heredera por línea recta de varón del gran reino de Micomicón, la cual viene en busca de vuestro amo a pedirle un don, el cual es que le desfaga un tuerto o agravio que un mal gigante le tiene fecho; y a la fama que de buen caballero vuestro amo tiene por todo lo descubierto, de Guinea ha venido a buscarle esta princesa.
+-Dichosa buscada y dichoso hallazgo –dijo a esta sazón Sancho Panza-, y más si mi amo es tan venturoso que desfaga ese agravio y enderece ese tuerto, matando a ese hideputa dese gigante que vuestra merced dice, que sí matará si él le encuentra, si ya no fuese fantasma; que contra los fantasmas no tiene mi señor poder alguno. Pero una cosa quiero suplicar a vuestra merced, entre otras, señor licenciado, y es que, porque a mi amo no le tome gana de ser arzobispo, que es lo que yo temo, que vuestra merced le aconseje que se case luego con esta princesa, y así quedará imposibilitado de recebir órdenes arzobispales, y vendrá con facilidad a su imperio, y yo al fin de mis deseos; que yo he mirado bien en ello y hallo por mi cuenta que no me está bien que mi amo sea arzobispo, porque yo soy inútil para la Iglesia, pues soy casado, y andarme ahora a traer dispensaciones para poder tener renta por la Iglesia, teniendo, como tengo, mujer y hijos, seria nunca acabar. Así que, señor, todo el toque está en que mi amo se case luego con esta señora, que hasta ahora no sé su gracia, y así, no la llamo por su nombre.
+-Llámase -respondió el cura- la princesa Micomicona, porque llamándose su reino Micomicón, claro está que ella se ha de llamar así.
+-No hay duda en eso -respondió Sancho-; que yo he visto a muchos tomar el apellido y alcurnia del lugar donde nacieron, llamándose Pedro de Alcalá, Juan de Ubeda y Diego de Valladolid, y esto mesmo se debe de usar allá en Guinea: tomar las reinas los nombres de sus reinos.
+-Así debe de ser -dijo el cura-; y en lo del casarse vuestro amo, yo haré en ello todos mis poderíos.
+Con lo que quedó tan contento Sancho cuanto el cura admirado de su simplicidad, y de ver cuán encajados tenía en la fantasía los mesmos disparates que su amo, pues sin alguna duda se daba a entender que había de venir a ser emperador.
+Ya, en esto, se había puesto Dorotea sobre la muía del cura, y el barbero se había acomodado al rostro la barba de la cola de buey, y dijeron a Sancho que los guiase adonde don Quijote estaba; al cual advirtieron que no dijese que conocía al licenciado ni al barbero, porque en no conocerlos consistía todo el toque de venir a ser emperador su amo; puesto que ni el cura ni Cardenio quisieron ir con ellos, porque no se le acordase a don Quijote la pendencia que con Cardenio había tenido, y el cura, porque no era menester por entonces su presencia; y así, los dejaron ir delante, y ellos los fueron siguiendo a pie, poco a poco. No dejó de avisar el cura lo
+que había de hacer Dorotea; a lo que ella dijo que descuidasen: que todo se haría sin faltar punto, como lo pedían y pintaban los libros de caballerías.
+Tres cuartos de legua habrían andado, cuando descubrieron a don Quijote entre unas intricadas peñas, ya vestido, aunque no armado, y así como Dorotea le vio y fue informada de Sancho que aquel era don Quijote, dio del azote a su palafrén, siguiéndole el bien barbado barbero; y en llegando junto a él, el escudero se arrojó de la muía y fue a tomar en los brazos a Dorotea, la cual, apeándose con grande desenvoltura, se fue a hincar de rodillas ante las de don Quijote; y aunque él pugnaba por levantarla, ella, sin levantarse, le fabló en esta guisa:
+-De aquí me levantaré, ¡oh valeroso y esforzado caballero!, fasta que la vuestra bondad y cortesía me otorgue un don, el cual redundará en honra y prez de vuestra persona y en pro de la más desconsolada y agraviada doncella que el sol ha visto. Y si es que el valor de vuestro fuerte brazo corresponde a la voz de vuestra inmortal fama, obligado estáis a favorecer a la sin ventura que de tan lueñes tierras viene, al olor de vuestro famoso nombre, buscándoos para remedio de sus desdichas.
+-No os responderé palabra, fermosa señora -respondió don Quijote-, ni oiré más cosa de vuestra facienda, fasta que os levantéis de tierra.
+-No me levantaré, señor -respondió la afligida doncella-, si primero por la vuestra cortesía no me es otorgado el don que pido.
+-Yo vos le otorgo y concedo –respondió don Quijote-, como no se haya de cumplir en daño o mengua de mi rey, de mi patria, y de aquella que de mi corazón y libertad tiene la llave.
+-No será en daño ni en mengua de lo que decís, mi buen señor -replicó la dolorosa doncella.
+Y estando en esto, se llegó Sancho Panza al oído de su señor y muy pasito le dijo:
+-Bien puede vuestra merced, señor, concederle el don que pide, que no es cosa de nada: sólo es matar a un gigantazo, y esta que lo pide es la alta princesa Micomicona, reina del gran reino Micomicón de Etiopía.
+-Sea quien fuere -respondió don Quijote-; que yo haré lo que soy obligado y lo que me dicta mi conciencia, conforme a lo que profesado tengo.
+Y volviéndose a la doncella, dijo:
+-La vuestra gran fermosura se levante, que yo le otorgo el don que pedirme quisiere.
+-Pues el que pido es -dijo la doncella- que la vuestra magnánima persona se venga luego conmigo donde yo le llevare, y me prometa que no se ha de entremeter en otra aventura ni demanda alguna hasta darme venganza de un traidor que, contra todo derecho divino y humano, me tiene usurpado mi reino.
+-Digo que así lo otorgo -respondió don Quijote-; y así, podéis, señora, desde hoy mas, desechar la malenconía que os fatiga, y hacer que cobre nuevos bríos y fuerza vuestra desmayada esperanza; que, con la ayuda de Dios y la de mi brazo, vos os veréis presto restituida en vuestro reino, y sentada en la silla de vuestro antiguo y grande estado, a pesar y a despecho de los follones que contradecirlo quisieren.
+La menesterosa doncella pugnó con mucha porfía por besarle las manos; mas don Quijote, que en todo era comedido y cortés caballero, jamás lo consintió; antes la hizo levantar y la abrazó con mucha cortesía y comedimiento, y mandó a Sancho que requiriese las cinchas a Rocinante y le armase luego al punto. Sancho descolgó las armas, que, como trofeo, de un árbol estaban pendientes, y, requiriendo las cinchas, en un punto armó a su señor; el cual, viéndose armado, dijo:
+-Vamos de aquí, en el nombre de Dios, a favorecer esta gran señora.
+Estábase el barbero aún de rodillas, teniendo gran cuenta de disimular la risa, y de que no se le cayese la barba, con cuya caída quizá quedaran todos sin conseguir su buena intención; y viendo que ya el don estaba concedido y con la diligencia que don Quijote se alistaba para ir a cumplirle, se levantó y tomó de la otra mano a su señora, y entre los dos la subieron en la muía; luego subió don Quijote sobre Rocinante, y el barbero se acomodó en su cabalgadura, quedándose Sancho a pie, donde de nuevo se le renovó la pérdida del rucio, con la falta que entonces le hacía; mas todo ello lo llevaba con gusto, por parecerle que ya su señor estaba puesto en camino, y muy a pique de ser emperador; porque sin duda alguna pensaba que se había de casar con aquella princesa, y ser, por lo menos, rey de Micomicón. Sólo le daba pesadumbre el pensar que aquel reino era en tierra de negros, y que la gente que por sus vasallos le diesen habían de ser todos negros; a lo cual hizo luego en su imaginación un buen remedio, y díjose a sí mismo: «¿Qué se me da a mí que mis vasallos sean negros? ¿Habrá más que cargar con ellos y traerlos a España, donde los podré vender, y adonde me los pagarán de contado, de cuyo dinero podré comprar algún título, o algún oficio, con que vivir descansado todos los días de mi vida? ¡No, sino dormios, y no tengáis ingenio ni habilidad para disponer de las cosas, y para vender treinta o diez mil vasallos en dácame esas pajas! Par Dios que los he de volar, chico con grande, o como pudiere, y que, por negros que sean, los he de volver blancos o amarillos ¡Llegaos, que me mamo el dedo!» Con esto andaba tan solicito y contento, que se le olvidaba la pesadumbre de caminar a pie.
+Todo esto miraban desde unas breñas Cardenio y el cura, y no sabían qué hacerse para juntarse con ellos; pero el cura, que era gran tracista, imaginó luego lo que harían para conseguir lo que deseaban, y fue que con unas tijeras que traía en un estuche quitó con mucha presteza la barba de Cardenio, y vistióle un capotillo pardo que él traía, y diole un herreruelo negro, y él se quedó en calza y en jubón; y quedó tan otro de lo que antes parecía Cardenio, que él mesmo no se conociera, aunque a un espejo se mirara. Hecho esto, puesto que ya los otros habían pasado adelante en tanto que ellos se disfrazaron, con facilidad salieron al camino real antes que ellos, porque las malezas y malos pasos de aquellos lugares no concedían que anduviesen tanto los de a caballo como los de a pie. En efeto, ellos se pusieron en el llano, a la salida de la sierra, y así como salió della don Quijote y sus camaradas, el cura se le puso a mirar muy de espacio, dando señales de que le iba reconociendo, y al cabo de haberle una buena pieza estado mirando, se fue a él abiertos los brazos y diciendo a voces:
+-Para bien sea hallado el espejo de la caballería, el mi buen compatriota don Quijote de la Mancha, la flor y la nata de la gentileza, el amparo y remedio de los menesterosos, la quinta esencia de los caballeros andantes.
+Y diciendo esto, tenía abrazado por la rodilla de la pierna izquierda a don Quijote; el cual, espantado de lo que veía y oía decir y hacer a aquel hombre, se le puso a mirar con atención, y, al fin, le conoció, y quedó como espantado de verle, y hizo grande fuerza por apearse; mas el cura no lo consintió, por lo cual don Quijote decía:
+-Déjeme vuestra merced, señor licenciado, que no es razón que yo esté a caballo, y una tan reverenda persona como vuestra merced esté a pie.
+-Eso no consentiré yo en ningún modo -dijo el cura-: estése la vuestra grandeza a caballo, pues estando a caballo acaba las mayores fazañas y aventuras que en nuestra edad se han visto; que a mi, aunque indigno sacerdote, bastaráme subir en las ancas de una destas mulas destos señores que con vuestra merced caminan, si no lo han por enojo; y aun haré cuenta que voy caballero sobre el caballo Pegaso, o sobre la cebra o alfana en que cabalgaba aquel famoso moro Muzaraque, que aún hasta ahora yace encantado en la gran cuesta Zulema, que dista poco de la gran Compluto.
+-Aun no caía yo en tanto, mi señor licenciado -respondió don Quijote-; y yo sé que mi señora la princesa será servida, por mi amor, de mandar a su escudero dé a vuestra merced la silla de su muía; que él podrá acomodarse en las ancas, si es que ella las sufre.
+-Si sufre, a lo que yo creo -respondió la princesa-; y también sé que no será menester mandárselo al señor mi escudero; que él es tan cortés y tan cortesano, que no consentirá que una persona eclesiástica vaya a pie, pudiendo ir a caballo.
+-Así es -respondió el barbero.
+Y apeándose en un punto convidó al cura con la silla, y él la tomó sin hacerse mucho de rogar. Y fue el mal que al subir a las ancas el barbero, la muía, que, en efeto, era de alquiler, que para decir que era mala esto basta, alzó un poco los cuartos traseros, y dio dos coces en el aire, que a darlas en el pecho de ámese Nicolás, o en la cabeza, él diera al diablo la venida por don Quijote. Con todo eso, le sobresaltaron de manera, que cayó en el suelo, con tan poco cuidado de las barbas, que se le cayeron en el suelo; y como se vio sin ellas, no tuvo otro remedio sino acudir a cubrirse el rostro con ambas manos y a quejarse que le habían derribado las muelas. Don Quijote, como vio todo aquel mazo de barbas, sin quijadas y sin sangre, lejos del rostro del escudero caído, dijo:
+-¡Vive Dios, que es gran milagro éste! ¡Las barbas le ha derribado y arrancado del rostro, como si las quitaran a posta!
+El cura, que vio el peligro que corría su invención de ser descubierta, acudió luego a las barbas y fuese con ellas adonde yacía ámese Nicolás dando aún voces todavía, y de un golpe, llegándole la cabeza a su pecho, se las puso murmurando sobre él unas palabras, que dijo que era cierto ensalmo apropiado para pegar barbas, como lo verían; y cuando se las tuvo puestas, se apartó y quedó el escudero tan bien barbado y tan sano como de antes, de que se admiró don Quijote sobremanera, y rogó al cura que cuando tuviese lugar le enseñase aquel ensalmo; que él entendía que su virtud a más que pegar barbas se debía de extender, pues estaba claro que de donde las barbas se quitasen, había de quedar la carne llagada y maltrecha, y que, pues todo lo sanaba, a más que barbas aprovechaba.
+-Así es -dijo el cura, y prometió de enseñarsele en la primera ocasión.
+Concertáronse que por entonces subiese el cura, y a trechos se fuesen los tres mudando, hasta que llegasen a la venta, que estría hasta dos leguas de allí. Puestos los tres a caballo, es a saber, don Quijote, la princesa y el cura, y los tres a pie, Cardenio, el barbero y Sancho Panza, don Quijote dijo a la doncella:
+-Vuestra grandeza, señora mía, guíe por donde más gusto le diere.
+Y antes que ella respondiese, dijo el licenciado:
+-¿Hacia qué reino quiere guiar la vuestra señoría? ¿Es, por ventura, hacia el de Micomicón? Qué si debe de ser, o yo sé poco de reinos.
+Ella, que estaba bien en todo, entendió que había de responder que sí, y así, dijo: -Si, señor: hacia ese reino es mi camino.
+-Si así es -dijo el cura-, por la mitad de mi pueblo hemos de pasar, y de allí tomará vuestra merced la derrota de Cartagena, donde se podrá embarcar con la buena ventura; y si hay viento próspero, mar tranquilo y sin borrasca, en poco menos de nueve años se podrá estar a vista de la gran laguna Meona, digo, Meótides, que está poco más de cien jornadas más acá del reino de vuestra grandeza.
+-Vuestra merced está engañado, señor mío -dijo ella-; porque no ha dos años que yo partí dél, y en verdad que nunca tuve buen tiempo, y, con todo eso, he llegado a ver lo que tanto deseaba, que es al señor don Quijote de la Mancha, cuyas nuevas llegaron a mis oídos así como puse los pies en España, y ellas me movieron a buscarle, para encomendarme en su cortesía y fiar mi justicia del valor de su invencible brazo.
+-No más; cesen mis alabanzas -dijo a esta sazón don Quijote-, porque soy enemigo de todo género de adulación; y aunque ésta no lo sea, todavía ofenden mis castas orejas semejantes pláticas. Lo que yo sé decir, señora mía, que ora tenga valor o no, el que tuviere o no tuviere se ha de emplear en vuestro servicio, hasta perder la vida; y así, dejando esto para su tiempo, ruego al señor licenciado me diga qué es la causa que le ha traído por estas partes tan solo, y tan sin criados, y tan a la ligera, que me pone espanto.
+-A eso yo responderé con brevedad -respondió el cura-; porque sabrá vuestra merced, señor don Quijote, que yo y maese Nicolás, nuestro amigo y nuestro barbero, íbamos a Sevilla a cobrar cierto dinero que un pariente mío que ha muchos años que pasó a Indias me había enviado, y no tan pocos que no pasan de sesenta mil pesos ensayados, que es otro que tal; y pasando ayer por estos lugares, nos salieron al encuentro cuatro salteadores y nos quitaron hasta las barbas; y de modo nos las quitaron, que le convino al barbero ponérselas postizas; y aun a este mancebo que aquí va -señalando a Cardenio- le pusieron como de nuevo. Y es lo bueno que es pública fama por todos estos contornos que los que nos saltearon son de unos galeotes que dicen que libertó, casi en este mesmo sitio, un hombre tan valiente, que a pesar del comisado y de las guardas, los soltó a todos; y, sin duda alguna, él debía de estar fuera de juicio, o debe de ser tan grande bellaco como ellos, o algún hombre sin alma y sin conciencia, pues quiso soltar al lobo entre las ovejas, a la raposa entre las gallinas, a la mosca entre la miel: quiso defraudar la justicia, ir contra su rey y señor natural, pues fue contra sus justos mandamientos; quiso, digo, quitar a las galeras sus pies, poner en alboroto a la Santa Hermandad, que había muchos años que reposaba; quiso, finalmente, hacer un hecho por donde se pierda su alma y no se gane su cuerpo.
+Habíales contado Sancho al cura y al barbero la aventura de los galeotes, que acabó su amo con tanta gloria suya, y por esto cargaba la mano el cura refiriéndola, por ver lo que hacia o decía don Quijote; al cual se le mudaba la color a cada palabra, y no osaba decir que él había sido el libertador de aquella buena gente.
+-Estos, pues -dijo el cura-, fueron los que nos robaron. Que Dios, por su misericordia, se lo perdone al que no los dejó llevar al debido suplicio.
+Capítulo 30: Que trata de la discreción de la hermosa Dorotea, con otras cosas de mucho gusto y pasatiempo
+No hubo bien acabado el cura, cuando Sancho dijo:
+-Pues mía fe, señor licenciado, el que hizo esa fazaña fue mi amo, y no porque yo no le dije antes y le avisé que mirase lo que hacía, que era pecado darles libertad, porque todos iban allí por grandísimos bellacos.
+-Majadero -dijo a esta sazón don Quijote-, a los caballeros andantes no les toca ni atañe averiguar si los afligidos, encadenados y opresos que encuentran por los caminos van de aquella manera o están en aquella angustia, por sus culpas, o por sus desgracias; sólo le toca ayudarles como a menesterosos, poniendo los ojos en sus penas, y no en sus bellaquerías. Yo topé un rosario y sarta de gente mohína y desdichada, y hice con ellos lo que mi religión me pide, y lo demás allá se avenga; y a quien mal le ha parecido, salvo la santa dignidad del señor licenciado y su honrada persona, digo que sabe poco de achaque de caballería, y que miente como un hideputa y mal nacido; y esto le haré conocer con mi espada, donde más largamente se contiene.
+Y esto dijo afirmándose en los estribos y calándose el morrión; porque la bacía de barbero, que a su cuenta era el yelmo de Mambrino, llevaba colgada del arzón delantero, hasta adobaría del mal tratamiento que la hicieron los galeotes.
+Dorotea, que era discreta y de gran donaire, como quien ya sabía el menguado humor de don Quijote y que todos hacían burla dél, sino Sancho Panza, no quiso ser para menos, y viéndole tan enojado, le dijo:
+-Señor caballero, miémbresele a la vuestra merced el don que me tiene prometido, y que, conforme a él, no puede entremeterse en otra aventura, por urgente que sea; sosiegue vuestra merced el pecho, que si el señor licenciado supiera que por ese invicto brazo habían sido librados los galeotes, él se diera tres puntos en la boca, y aun se mordiera tres veces la lengua, antes que haber dicho palabra que en despecho de vuestra merced redundara.
+-Eso juro yo bien -dijo el cura-, y aun me hubiera quitado un bigote.
+-Yo callaré, señora mía -dijo don Quijote-, y reprimiré la justa cólera que ya en mi pecho se había levantado, y iré quieto y pacífico hasta tanto que os cumpla el don prometido; pero, en pago deste buen deseo, os suplico me digáis, si no os hace de mal, cuál es la vuestra cuita, y cuántas, quiénes y cuáles son las personas de quien os tengo de dar debida, satisfecha y entera venganza.
+-Eso haré yo de gana -respondió Dorotea-, si es que no os enfada oír lástimas y desgracias.
+-No enfadará, señora mía -respondió don Quijote.
+A lo que respondió Dorotea:
+-Pues así es, esténme vuestras mercedes atentos.
+No hubo ella dicho esto, cuando Cardenio y el barbero se le pusieron al lado, deseosos de ver cómo fingía su historia la discreta Dorotea, y lo mismo hizo Sancho, que tan engañado iba con ella como su amo. Y ella, después de haberse puesto bien en la silla y prevenídose con toser y hacer otros ademanes, con mucho donaire comenzó a decir desta manera:
+-Primeramente, quiero que vuestras mercedes sepan, señores míos, que a mi me llaman...
+Y detúvose aquí un poco porque se le olvidó el nombre que el cura le había puesto; pero él acudió al remedio, porque entendió en lo que reparaba, y dijo:
+-No es maravilla, señora mía, que la vuestra grandeza se turbe y empache contando sus desventuras; que ellas suelen ser tales, que muchas veces quitan la memoria a los que maltratan, de tal manera, que aun de sus mesmos nombres no se les acuerda, como han hecho con vuestra gran señoría, que se ha olvidado que se llama la princesa Micomicona, legítima heredera del gran reino Micomicón; y con este apuntamiento puede la vuestra grandeza reducir ahora fácilmente a su lastimada memoria todo aquello que contar quisiere.
+-Así es la verdad -respondió la doncella-, y desde aquí adelante creo que no será menester apuntarme nada; que yo saldré a buen puedo con mi verdadera historia. La cual es que el rey mi padre, que se llamaba Tinacrio el Sabidor, fue muy docto en esto que llaman el arte mágica, y alcanzó por su ciencia que mi madre, que se llamaba la reina Jaramilla, había de morir primero que él, y que de allí a poco tiempo él también había de pasar desta vida y yo había de quedar huérfana de padre y madre. Pero decía él que no le fatigaba tanto esto cuanto le ponía en confusión saber por cosa muy cierta que un descomunal gigante, señor de una grande ínsula, que casi alinda con nuestro reino, llamado Pandafilando de la Fosca Vista (porque es cosa averiguada que, aunque tiene los ojos en su lugar y derechos, siempre mira al revés, como si fuese bizco, y esto lo hace él de maligno y por poner miedo y espanto a los que mira), digo que supo que este gigante, en sabiendo mi orfandad, había de pasar con gran poderío sobre mi reino, y me lo había de quitar todo, sin dejarme una pequeña aldea donde me recogiese; pero que podía excusar toda esta rutina y desgracia si yo me quisiese casar con él; mas, a lo que él entendía, jamás pensaba que me vendría a mi en voluntad de hacer tan desigual casamiento; y dijo en esto la pura verdad, porque jamás me ha pasado por el pensamiento casarme con aquel gigante, pero ni con otro alguno, por grande y desaforado que fuese. Dijo también mi padre que después que él fuese muerto y viese yo que Pandafilando comenzaba a pasar sobre mi reino, que no aguardase a ponerme en defensa, porque seria destruirme, sino que libremente le dejase desembarazado el reino, si quería excusar la muerte y total destruición de mis buenos y leales vasallos, porque no había de ser posible defenderme de la endiablada fuerza del gigante; sino que luego, con algunos de los míos, me pusiese en camino de las Españas, donde hallaría el remedio de mis males hallando a un caballero andante, cuya fama en este tiempo se extendería por todo este reino; el cual se había de llamar, si mal no me acuerdo, don Azote o don Gigote.
+-Don Quijote diría, señora -dijo a esta sazón Sancho Panza-, o, por otro nombre, el Caballero de la Triste Figura.
+-Así es la verdad -dijo Dorotea-. Dijo más: que había de ser alto de cuerpo, seco de rostro, y que en el lado derecho, debajo del hombro izquierdo, o por allí junto, había de tener un lunar pardo con ciertos cabellos a manera de cerdas.
+En oyendo esto don Quijote, dijo a su escudero:
+-Ten aquí, Sancho, hijo, ayúdame a desnudar, que quiero ver si soy el caballero que aquel sabio rey dejó profetizado.
+-Pues ¿para qué quiere vuestra merced desnudarse? -dijo Dorotea.
+-Para ver si tengo ese lunar que vuestro padre dijo -respondió don Quijote.
+-No hay para qué desnudarse -dijo Sancho-; que yo sé que tiene vuestra merced un lunar desas señas en la mitad del espinazo, que es señal de ser hombre fuerte.
+-Eso basta -dijo Dorotea-; porque con los amigos no se ha de mirar en pocas cosas y que esté en el hombro, o que esté en el espinazo, importa poco: basta que haya lunar, y esté donde estuviere, pues todo es una mesma carne; y, sin duda, acertó mi buen padre en todo, y yo he acertado en encomendarme al señor don Quijote; que él es por quien mi padre dijo, pues las señales del rostro vienen con las de la buena fama que este caballero tiene, no sólo en España, pero en toda la Mancha, pues apenas me hube desembarcado en Osuna, cuando oí decir tantas hazañas suyas, que luego me dio el alma que era el mesmo que venía a buscar.
+-Pues ¿cómo se desembarcó vuestra merced en Osuna, señora mía -preguntó don Quijote-, si no es puerto de mar?
+Mas antes que Dorotea respondiese, tomó el cura la mano, y dijo:
+-Debe de querer decir la señora princesa que después que desembarcó en Málaga, la primera parte donde oyó nuevas de vuestra merced fue en Osuna.
+-Eso quise decir -dijo Dorotea.
+-Y esto lleva camino -dijo el cura-; y prosiga vuestra Majestad adelante.
+-No hay que proseguir -respondió Dorotea-, sino que, finalmente, mi suerte ha sido tan buena en hallar al señor don Quijote, que ya me cuento y tengo por reina y señora de todo mi reino, pues él, por su cortesía y magnificencia, me ha prometido el don de irse conmigo dondequiera que yo le llevare, que no será a otra parte que a ponerle delante de Pandafilando de la Fosca Vista, para que le mate, y me restituya lo que tan contra razón me tiene usurpado; que todo esto ha de suceder a pedir de boca, pues así lo dejó profetizado Tinacrio el Sabidor, mi buen padre; el cual también dejó dicho, y escrito en letras caldeas o griegas, que yo no las sé leer, que si este caballero de la profecía, después de haber degollado al gigante, quisiese casarse conmigo, que yo me otorgarse luego sin réplica alguna por su legítima esposa, y le diese la posesión de mi reino, junto con la de mi persona.
+-¿Qué te parece, Sancho amigo? -dijo a este punto don Quijote-. ¿No oyes lo que pasa? ¿No te lo dije yo? Mira si tenemos ya reino que mandar y reina con quien casar .
+-¡Eso juro yo -dijo Sancho- para el puto que no se casare en abriendo el gaznatico al señor Pandahilado! Pues ¡monta que es mala la reina! ¡Así se me vuelvan las pulgas de la cama!
+Y diciendo esto, dio dos zapatetas en el aire, con muestras de grandísimo contento, y luego fue a tomar las riendas de la muía de Dorotea, y haciéndola detener, se hincó de rodillas ante ella, suplicándole le diese las manos para besárselas, en señal que la recibía por su reina y señora. ¿Quién no había de reír de los circunstantes, viendo la locura del amo y la simplicidad del criado? En efecto, Dorotea se las dio, y le prometió de hacerle gran señor en su reino, cuando el cielo le hiciese tanto bien, que se lo dejase cobrar y gozar. Agradecióselo Sancho con tales palabras, que renovó la risa en todos.
+-Esta, señores -prosiguió Dorotea-, es mi historia; sólo resta por deciros que de cuanta gente de acompañamiento saqué de mi reino no me ha quedado sino sólo este buen barbado escudero, porque todos se anegaron en una gran borrasca que tuvimos a vista del puerto, y él y yo salimos en dos tablas a tierra, como por milagro; y así, es todo milagro y misterio el discurso de mi vida, como lo habréis notado. Y si en alguna cosa he andado demasiada, o no tan acertada como debiera, echad la culpa a lo que el señor licenciado dijo al principio de mi cuento: que los trabajos continuos y extraordinarios quitan la memoria al que los padece.
+-Esa no me quitarán a mi, ¡oh alta y valerosa señora! -dijo don Quijote-, cuantos yo pasare en serviros, por grandes y no vistos que sean; y así, de nuevo confirmo el don que os he prometido y juro de ir con vos al cabo del mundo, hasta yerme con el fiero enemigo vuestro, a quien pienso, con la ayuda de Dios y de mi brazo, tajar la cabeza soberbia con los filos desta... no quiero decir buena espada, merced a Ginés de Pasamonte, que me llevó la mía.
+Esto dijo entre dientes, y prosiguió diciendo:
+-Y después de habérsela tajado y puestos en pacífica posesión de vuestro estado, quedará a vuestra voluntad hacer de vuestra persona lo que más en talante os viniere; porque mientras que yo tuviere ocupada la memoria y cautiva la voluntad, perdido el entendimiento, a aquella... y no digo más, no es posible que yo arrostre, ni por pienso, el casarme, aunque fuese con el ave fénix.
+Parecióle tan mal a Sancho lo que últimamente su amo dijo acerca de no querer casarse, que, con grande enojo, alzando la voz, dijo:
+-Voto a mí, y juro a mi, que no tiene vuestra merced, señor don Quijote, cabal juicio: pues ¿cómo es posible que pone vuestra merced en duda el casarse con tan alta princesa como aquésta? ¿Piensa que le ha de ofrecer la fortuna tras cada cantillo semejante ventura como la que ahora se le ofrece? ¿Es, por dicha, más hermosa mi señora Dulcinea? No, por cierto, ni aun con la mitad, y aun estoy por decir que no llega a su zapato de la que está delante. Así, noramala alcanzaré yo el condado que espero, si vuestra merced se anda a pedir cotufas en el golfo. Cásese, cásese luego, encomiéndole yo a Satanás, y tome ese reino que se le viene a las manos de vobis vobis, y en siendo rey, hágame marqués o adelantado, y luego, siquiera se lo lleve el diablo todo.
+Don Quijote, que tales blasfemias oyó decir contra su señora Dulcinea, no lo pudo sufrir; y, alzando el lanzón, sin hablalle palabra a Sancho y sin decirle esta boca es mía, le dio tales dos palos, que dio con él en tierra; y si no fuera porque Dorotea le dio voces que no le diera más, sin duda le quitara allí la vida.
+-¿Pensáis -le dijo a cabo de rato-, villano ruin, que ha de haber lugar siempre para ponerme la mano en la horcajadura, y que todo ha de ser errar vos y perdonaros yo? Pues no lo penséis, bellaco descomulgado, que sin duda lo estás, pues has puesto lengua en la sin par Dulcinea. Y ¿no sabéis vos, gañán, faquín, belitre, que si no fuese por el valor que ella infunde en mi brazo, que no le tendría yo para matar una pulga? Decid, socarrón de lengua viperina, y ¿quién pensáis que ha ganado este reino y cortado la cabeza a este gigante, y héchoos a vos marqués, que todo esto doy ya por hecho y por cosa pasada en cosa juzgada, si no es el valor de Dulcinea, tomando a mi brazo por instrumento de sus hazañas? Ella pelea en mí, y vence en mí, y yo vivo y respiro en ella, y tengo vida y ser. ¡Oh hideputa bellaco, y cómo sois desagradecido: que os veis levantado del polvo de la tierra a ser señor de titulo, y correspondéis a tan buena obra con decir mal de quien os la hizo!
+No estaba tan maltrecho Sancho, que no oyese todo cuanto su amo le decía; y levantándose con un poco de presteza, se fue a poner detrás del palafrén de Dorotea, y desde allí dijo a su amo:
+-Dígame, señor: si vuestra merced tiene determinado de no casarse con esta gran princesa, claro está que no será el reino suyo; y no siéndolo, ¿qué mercedes me puede hacer? Esto es de lo que yo me quejo; cásese vuestra merced una por una con esta reina, ahora que la tenemos aquí como llovida del cielo, y después puede volverse con mi señora Dulcinea; que reyes debe haber habido en el mundo que hayan sido amancebados. En lo de la hermosura no me entremeto; que, en verdad, si va a decirla, que entrambas me parecen bien, puesto que yo nunca he visto a la señora Dulcinea.
+-¿Cómo que no la has visto, traidor blasfemo? -dijo don Quijote-. Pues ¿no acabas de traerme ahora un recado de su parte?
+-Digo que no la he visto tan despacio –dijo Sancho-, que pueda haber notado particularmente su hermosura y sus buenas partes punto por punto; pero así a bulto, me parece bien.
+-Ahora te disculpo -dijo don Quijote-, y perdóname el enojo que te he dado; que los primeros movimientos no son en manos de los hombres.
+-Ya yo lo veo -respondió Sancho-; y así, en mi la gana de hablar siempre es primero movimiento, y no puedo dejar de decir, por una vez siquiera, lo que me viene a la lengua.
+-Con todo eso -dijo don Quijote-, mira, Sancho, lo que hablas; porque tantas veces va el cantarillo a la fuente..., y no te digo más.
+-Ahora bien -respondió Sancho-, Dios está en el cielo, que ve las trampas, y será juez de quien hace más mal: yo en no hablar bien, o vuestra merced en no obrallo.
+-No haya más -dijo Dorotea-: corred, Sancho, y besad la mano a vuestro señor, y pedilde perdón, y de aquí adelante andad más atentado en vuestras alabanzas y vituperios, y no digáis mal de aquesa señora Tobosa, a quien yo no conozco si no es para servilla, y tened confianza en Dios, que no os ha de faltar un estado donde viváis como un príncipe.
+Fue Sancho cabizbajo y pidió la mano a su señor, y él se la dio con reposado continente; y después que se la hubo besado, le echó la bendición, y dijo a Sancho que se adelantase un poco, que tenía que preguntalle y que departir con él cosas
+de mucha importancia. Hízolo así Sancho y apartáronse los dos algo adelante, y díjole don Quijote:
+-Después que veniste, no he tenido lugar ni espacio para preguntarte muchas cosas de particularidad acerca de la embajada que llevaste y de la respuesta que trujiste; y ahora, pues la fortuna nos ha concedido tiempo y lugar, no me niegues tú la ventura que puedes darme con tan buenas nuevas.
+-Pregunte vuestra merced lo que quisiere -respondió Sancho-; que a todo daré tan buena salida como tuve la entrada. Pero suplico a vuestra merced, señor mío, que no sea de aquí adelante tan vengativo.
+-¿Por qué lo dices, Sancho? -dijo don Quijote.
+-Dígolo -respondió- porque estos palos de agora más fueron por la pendencia que entre los dos trabó el diablo la otra noche que por lo que dije contra mi señora Dulcinea, a quien amo y reverencio como a una reliquia, aunque en ella no la haya, sólo por ser cosa de vuestra merced.
+-No tornes a esas pláticas, Sancho, por tu vida -dijo don Quijote-, que me dan pesadumbre; ya te perdoné entonces, y bien sabes tú que suele decirse: «A pecado nuevo, penitencia nueva.
+Mientras esto pasaba, vieron venir por el camino donde ellos iban a un hombre caballero sobre un jumento, y cuando llegó cerca les pareció que era gitano; pero Sancho Panza, que doquiera que vía asnos se le iban los ojos y el alma, apenas hubo visto al hombre cuando conoció que era Ginés de Pasamonte, y por el hilo del gitano sacó el ovillo de su asno, como era la verdad, pues era el rucio sobre que Pasamonte venía; el cual, por no ser conocido y por vender el asno, se había puesto en traje de gitano, cuya lengua, y otras muchas, sabía hablar, como si fueran naturales suyas. Viole Sancho, y conocióle; y apenas le hubo visto y conocido, cuando a grandes voces le dijo:
+-¡Ah, ladrón Ginesillo! ¡Deja mi prenda, suelta mi vida, no te empaches con mi descanso, deja mi asno, deja mi regalo! ¡Huye, puto; auséntate, ladrón, y desampara lo que no es tuyo!
+No fueron menester tantas palabras ni baldones, porque a la primera saltó Ginés y, tomando un trote que parecía carrera, en un punto se ausentó y alejó de todos. Sancho llegó a su rucio, y, abrazándole, le dijo:
+-¿Cómo has estado, bien mío, rucio de mis ojos, compañero mío?
+Y con esto le besaba y acariciaba, como si fuera persona. El asno callaba y se dejaba besar y acariciar de Sancho, sin responderle palabra alguna. Llegaron todos y diéronle el parabién del hallazgo del rucio, especialmente don Quijote, el cual le dijo que no por eso anulaba la póliza de los tres pollinos. Sancho se lo agradeció.
+En tanto que los dos iban en estas pláticas, dijo el cura a Dorotea que había andado muy discreta, así en el cuento como en la brevedad dél y en la similitud que tuvo con los de los libros de caballerías. Ella dijo que muchos ratos se había entretenido en leellos; pero que no sabía ella dónde eran las provincias ni puertos de mar, y que, así, había dicho a tiento que se había desembarcado en Osuna.
+-Yo lo entendí así -dijo el cura-, y por eso acudí luego a decir lo que dije, con que se acomodó todo. Pero ¿no es cosa extraña ver con cuánta facilidad cree este desventurado hidalgo todas estas invenciones y mentiras, sólo porque llevan el estilo y modo de las necedades de sus libros?
+-Sí es -dijo Cardenio-; y tan rara y nunca vista, que yo no sé si queriendo inventarla y fabricarla mentirosamente, hubiera tan agudo ingenio que pudiera dar en ella.
+-Pues otra cosa hay en ello -dijo el cura-: que fuera de las simplicidades que este buen hidalgo dice tocantes a su locura, si le tratan de otras cosas, discurre con bonísimas razones y muestra tener un entendimiento claro y apacible en todo; de manera que, como no le toquen en sus caballerías, no habrá nadie que le juzgue sino por de muy buen entendimiento.
+En tanto que ellos iban en esta conversación, prosiguió don Quijote con la suya, y dijo a Sancho:
+-Echemos, Panza amigo, pelillos a la mar en esto de nuestras pendencias, y dime ahora, sin tener cuenta con enojo ni rencor alguno: ¿Dónde, cómo y cuándo hallaste a Dulcinea? ¿Qué hacía? ¿Qué le dijiste? ¿Qué te respondió? ¿Qué rostro hizo cuando leía mi carta? ¿Quién te la trasladó? Y todo aquello que vieres que en este caso es digno de saberse, de preguntarse y satisfacerse, sin que añadas o mientas por darme gusto, ni, menos, te acodes por no quitármele.
+-Señor -respondió Sancho-, si va a decir la verdad, la carta no me la trasladó nadie, porque yo no llevé carta alguna.
+-Así es como tú dices -dijo don Quijote-, porque el librillo de memoria donde yo la escribí le hallé en mi poder a cabo de dos días de tu partida, lo cual me causó grandísima pena, por no saber lo que habías tú de hacer cuando te vieses sin carta, y creí siempre que te volvieras desde el lugar donde la echaras menos.
+-Así fuera -respondió Sancho-, si no la hubiera yo tomado en la memoria cuando vuestra merced me la leyó, de manera, que se la dije a un sacristán, que me la trasladó del entendimiento tan punto por punto, que dijo que en todos los días de su vida, aunque había leído muchas cartas de descomunión, no había visto ni leído tan linda carta como aquélla.
+-Y ¿tiénesla todavía en la memoria, Sancho? -dijo don Quijote.
+-No, señor -respondió Sancho-, porque después que la di, como vi que no había de ser de más provecho, di en olvidalla, y si, algo se me acuerda, es aquello del sobajada, digo, del soberana señora, y lo último: Vuestro hasta la muerte, el Caballero de la Triste Figura. Y en medio destas dos cosas le puse más de trescientas almas, y vidas, y ojos míos.
+Capítulo 30: Que trata de la discreción de la hermosa Dorotea, con otras cosas de mucho gusto y pasatiempo
+No hubo bien acabado el cura, cuando Sancho dijo:
+-Pues mía fe, señor licenciado, el que hizo esa fazaña fue mi amo, y no porque yo no le dije antes y le avisé que mirase lo que hacía, que era pecado darles libertad, porque todos iban allí por grandísimos bellacos.
+-Majadero -dijo a esta sazón don Quijote-, a los caballeros andantes no les toca ni atañe averiguar si los afligidos, encadenados y opresos que encuentran por los caminos van de aquella manera o están en aquella angustia, por sus culpas, o por sus desgracias; sólo le toca ayudarles como a menesterosos, poniendo los ojos en sus penas, y no en sus bellaquerías. Yo topé un rosario y sarta de gente mohína y desdichada, y hice con ellos lo que mi religión me pide, y lo demás allá se avenga; y a quien mal le ha parecido, salvo la santa dignidad del señor licenciado y su honrada persona, digo que sabe poco de achaque de caballería, y que miente como un hideputa y mal nacido; y esto le haré conocer con mi espada, donde más largamente se contiene.
+Y esto dijo afirmándose en los estribos y calándose el morrión; porque la bacía de barbero, que a su cuenta era el yelmo de Mambrino, llevaba colgada del arzón delantero, hasta adobaría del mal tratamiento que la hicieron los galeotes.
+Dorotea, que era discreta y de gran donaire, como quien ya sabía el menguado humor de don Quijote y que todos hacían burla dél, sino Sancho Panza, no quiso ser para menos, y viéndole tan enojado, le dijo:
+-Señor caballero, miémbresele a la vuestra merced el don que me tiene prometido, y que, conforme a él, no puede entremeterse en otra aventura, por urgente que sea; sosiegue vuestra merced el pecho, que si el señor licenciado supiera que por ese invicto brazo habían sido librados los galeotes, él se diera tres puntos en la boca, y aun se mordiera tres veces la lengua, antes que haber dicho palabra que en despecho de vuestra merced redundara.
+-Eso juro yo bien -dijo el cura-, y aun me hubiera quitado un bigote.
+-Yo callaré, señora mía -dijo don Quijote-, y reprimiré la justa cólera que ya en mi pecho se había levantado, y iré quieto y pacífico hasta tanto que os cumpla el don prometido; pero, en pago deste buen deseo, os suplico me digáis, si no os hace de mal, cuál es la vuestra cuita, y cuántas, quiénes y cuáles son las personas de quien os tengo de dar debida, satisfecha y entera venganza.
+-Eso haré yo de gana -respondió Dorotea-, si es que no os enfada oír lástimas y desgracias.
+-No enfadará, señora mía -respondió don Quijote. A lo que respondió Dorotea:
+-Pues así es, esténme vuestras mercedes atentos.
+No hubo ella dicho esto, cuando Cardenio y el barbero se le pusieron al lado, deseosos de ver cómo fingía su historia la discreta Dorotea, y lo mismo hizo Sancho, que tan engañado iba con ella como su amo. Y ella, después de haberse puesto bien en la silla y prevenídose con toser y hacer otros ademanes, con mucho donaire comenzó a decir desta manera:
+-Primeramente, quiero que vuestras mercedes sepan, señores míos, que a mi me llaman...
+Y detúvose aquí un poco porque se le olvidó el nombre que el cura le había puesto; pero él acudió al remedio, porque entendió en lo que reparaba, y dijo:
+-No es maravilla, señora mía, que la vuestra grandeza se turbe y empache contando sus desventuras; que ellas suelen ser tales, que muchas veces quitan la memoria a los que maltratan, de tal manera, que aun de sus mesmos nombres no se les acuerda, como han hecho con vuestra gran señoría, que se ha olvidado que se llama la princesa Micomicona, legítima heredera del gran reino Micomicón; y con este apuntamiento puede la vuestra grandeza reducir ahora fácilmente a su lastimada memoria todo aquello que contar quisiere.
+-Así es la verdad -respondió la doncella-, y desde aquí adelante creo que no será menester apuntarme nada; que yo saldré a buen puedo con mi verdadera historia. La cual es que el rey mi padre, que se llamaba Tinacrio el Sabidor, fue muy docto en esto que llaman el arte mágica, y alcanzó por su ciencia que mi madre, que se llamaba la reina Jaramilla, había de morir primero que él, y que de allí a poco tiempo él también había de pasar desta vida y yo había de quedar huérfana de padre y madre. Pero decía él que no le fatigaba tanto esto cuanto le ponía en confusión saber por cosa muy cierta que un descomunal gigante, señor de una grande ínsula, que casi alinda con nuestro reino, llamado Pandafilando de la Fosca Vista (porque es cosa averiguada que, aunque tiene los ojos en su lugar y derechos, siempre mira al revés, como si fuese bizco, y esto lo hace él de maligno y por poner miedo y espanto a los que mira), digo que supo que este gigante, en sabiendo mi orfandad, había de pasar con gran poderío sobre mi reino, y me lo había de quitar todo, sin dejarme una pequeña aldea donde me recogiese; pero que podía excusar toda esta rutina y desgracia si yo me quisiese casar con él; mas, a lo que él entendía, jamás pensaba que me vendría a mi en voluntad de hacer tan desigual casamiento; y dijo en esto la pura verdad, porque jamás me ha pasado por el pensamiento casarme con aquel gigante, pero ni con otro alguno, por grande y desaforado que fuese. Dijo también mi padre que después que él fuese muerto y viese yo que Pandafilando comenzaba a pasar sobre mi reino, que no aguardase a ponerme en defensa, porque seria destruirme, sino que libremente le dejase desembarazado el reino, si quería excusar la muerte y total destruición de mis buenos y leales vasallos, porque no había de ser posible defenderme de la endiablada fuerza del gigante; sino que luego, con algunos de los míos, me pusiese en camino de las Españas, donde hallaría el remedio de mis males hallando a un caballero andante, cuya fama en este tiempo se extendería por todo este reino; el cual se había de llamar, si mal no me acuerdo, don Azote o don Gigote.
+-Don Quijote diría, señora -dijo a esta sazón Sancho Panza-, o, por otro nombre, el Caballero de la Triste Figura.
+-Así es la verdad -dijo Dorotea-. Dijo más: que había de ser alto de cuerpo, seco de rostro, y que en el lado derecho, debajo del hombro izquierdo, o por allí junto, había de tener un lunar pardo con ciertos cabellos a manera de cerdas.
+En oyendo esto don Quijote, dijo a su escudero:
+-Ten aquí, Sancho, hijo, ayúdame a desnudar, que quiero ver si soy el caballero que aquel sabio rey dejó profetizado.
+-Pues ¿para qué quiere vuestra merced desnudarse? -dijo Dorotea.
+-Para ver si tengo ese lunar que vuestro padre dijo -respondió don Quijote.
+-No hay para qué desnudarse -dijo Sancho-; que yo sé que tiene vuestra merced un lunar desas señas en la mitad del espinazo, que es señal de ser hombre fuerte.
+-Eso basta -dijo Dorotea-; porque con los amigos no se ha de mirar en pocas cosas y que esté en el hombro, o que esté en el espinazo, importa poco: basta que haya lunar, y esté donde estuviere, pues todo es una mesma carne; y, sin duda, acertó mi buen padre en todo, y yo he acertado en encomendarme al señor don Quijote; que él es por quien mi padre dijo, pues las señales del rostro vienen con las de la buena fama que este caballero tiene, no sólo en España, pero en toda la Mancha, pues apenas me hube desembarcado en Osuna, cuando oí decir tantas hazañas suyas, que luego me dio el alma que era el mesmo que venía a buscar.
+-Pues ¿cómo se desembarcó vuestra merced en Osuna, señora mía -preguntó don Quijote-, si no es puerto de mar?
+Mas antes que Dorotea respondiese, tomó el cura la mano, y dijo:
+-Debe de querer decir la señora princesa que después que desembarcó en Málaga, la primera parte donde oyó nuevas de vuestra merced fue en Osuna.
+-Eso quise decir -dijo Dorotea.
+-Y esto lleva camino -dijo el cura-; y prosiga vuestra Majestad adelante.
+-No hay que proseguir -respondió Dorotea-, sino que, finalmente, mi suerte ha sido tan buena en hallar al señor don Quijote, que ya me cuento y tengo por reina y señora de todo mi reino, pues él, por su cortesía y magnificencia, me ha prometido el don de irse conmigo dondequiera que yo le llevare, que no será a otra parte que a ponerle delante de Pandafilando de la Fosca Vista, para que le mate, y me restituya lo que tan contra razón me tiene usurpado; que todo esto ha de suceder a pedir de boca, pues así lo dejó profetizado Tinacrio el Sabidor, mi buen padre; el cual también dejó dicho, y escrito en letras caldeas o griegas, que yo no las sé leer, que si este caballero de la profecía, después de haber degollado al gigante, quisiese casarse conmigo, que yo me otorgarse luego sin réplica alguna por su legítima esposa, y le diese la posesión de mi reino, junto con la de mi persona.
+-¿Qué te parece, Sancho amigo? -dijo a este punto don Quijote-. ¿No oyes lo que pasa? ¿No te lo dije yo? Mira si tenemos ya reino que mandar y reina con quien casar .
+-¡Eso juro yo -dijo Sancho- para el puto que no se casare en abriendo el gaznatico al señor Pandahilado! Pues ¡monta que es mala la reina! ¡Así se me vuelvan las pulgas de la cama!
+Y diciendo esto, dio dos zapatetas en el aire, con muestras de grandísimo contento, y luego fue a tomar las riendas de la muía de Dorotea, y haciéndola detener, se hincó de rodillas ante ella, suplicándole le diese las manos para besárselas, en señal que la recibía por su reina y señora. ¿Quién no había de reír de los circunstantes, viendo la locura del amo y la simplicidad del criado? En efecto, Dorotea se las dio, y le prometió de hacerle gran señor en su reino, cuando el cielo le hiciese tanto bien, que se lo dejase cobrar y gozar. Agradecióselo Sancho con tales palabras, que renovó la risa en todos.
+-Esta, señores -prosiguió Dorotea-, es mi historia; sólo resta por deciros que de cuanta gente de acompañamiento saqué de mi reino no me ha quedado sino sólo este buen barbado escudero, porque todos se anegaron en una gran borrasca que tuvimos a vista del puerto, y él y yo salimos en dos tablas a tierra, como por milagro; y así, es todo milagro y misterio el discurso de mi vida, como lo habréis notado. Y si en alguna cosa he andado demasiada, o no tan acertada como debiera, echad la culpa a lo que el señor licenciado dijo al principio de mi cuento: que los trabajos continuos y extraordinarios quitan la memoria al que los padece.
+-Esa no me quitarán a mi, ¡oh alta y valerosa señora! -dijo don Quijote-, cuantos yo pasare en serviros, por grandes y no vistos que sean; y así, de nuevo confirmo el don que os he prometido y juro de ir con vos al cabo del mundo, hasta yerme con el fiero enemigo vuestro, a quien pienso, con la ayuda de Dios y de mi brazo, tajar la cabeza soberbia con los filos desta... no quiero decir buena espada, merced a Ginés de Pasamonte, que me llevó la mía.
+Esto dijo entre dientes, y prosiguió diciendo:
+-Y después de habérsela tajado y puestos en pacífica posesión de vuestro estado, quedará a vuestra voluntad hacer de vuestra persona lo que más en talante os viniere; porque mientras que yo tuviere ocupada la memoria y cautiva la voluntad, perdido el entendimiento, a aquella... y no digo más, no es posible que yo arrostre, ni por pienso, el casarme, aunque fuese con el ave fénix.
+Parecióle tan mal a Sancho lo que últimamente su amo dijo acerca de no querer casarse, que, con grande enojo, alzando la voz, dijo:
+-Voto a mí, y juro a mi, que no tiene vuestra merced, señor don Quijote, cabal juicio: pues ¿cómo es posible que pone vuestra merced en duda el casarse con tan alta princesa como aquésta? ¿Piensa que le ha de ofrecer la fortuna tras cada cantillo semejante ventura como la que ahora se le ofrece? ¿Es, por dicha, más hermosa mi señora Dulcinea? No, por cierto, ni aun con la mitad, y aun estoy por decir que no llega a su zapato de la que está delante. Así, noramala alcanzaré yo el condado que espero, si vuestra merced se anda a pedir cotufas en el golfo. Cásese, cásese luego, encomiéndole yo a Satanás, y tome ese reino que se le viene a las manos de vobis vobis, y en siendo rey, hágame marqués o adelantado, y luego, siquiera se lo lleve el diablo todo.
+Don Quijote, que tales blasfemias oyó decir contra su señora Dulcinea, no lo pudo sufrir; y, alzando el lanzón, sin hablalle palabra a Sancho y sin decirle esta boca es mía, le dio tales dos palos, que dio con él en tierra; y si no fuera porque Dorotea le dio voces que no le diera más, sin duda le quitara allí la vida.
+-¿Pensáis -le dijo a cabo de rato-, villano ruin, que ha de haber lugar siempre para ponerme la mano en la horcajadura, y que todo ha de ser errar vos y perdonaros yo? Pues no lo penséis, bellaco descomulgado, que sin duda lo estás, pues has puesto lengua en la sin par Dulcinea. Y ¿no sabéis vos, gañán, faquín, belitre, que si no fuese por el valor que ella infunde en mi brazo, que no le tendría yo para matar una pulga? Decid, socarrón de lengua viperina, y ¿quién pensáis que ha ganado este reino y cortado la cabeza a este gigante, y héchoos a vos marqués, que todo esto doy ya por hecho y por cosa pasada en cosa juzgada, si no es el valor de Dulcinea, tomando a mi brazo por instrumento de sus hazañas? Ella pelea en mí, y vence en mí, y yo vivo y respiro en ella, y tengo vida y ser. ¡Oh hideputa bellaco, y cómo sois desagradecido: que os veis levantado del polvo de la tierra a ser señor de titulo, y correspondéis a tan buena obra con decir mal de quien os la hizo!
+No estaba tan maltrecho Sancho, que no oyese todo cuanto su amo le decía; y levantándose con un poco de presteza, se fue a poner detrás del palafrén de Dorotea, y desde allí dijo a su amo:
+-Dígame, señor: si vuestra merced tiene determinado de no casarse con esta gran princesa, claro está que no será el reino suyo; y no siéndolo, ¿qué mercedes me puede hacer? Esto es de lo que yo me quejo; cásese vuestra merced una por una con esta reina, ahora que la tenemos aquí como llovida del cielo, y después puede volverse con mi señora Dulcinea; que reyes debe haber habido en el mundo que hayan sido amancebados. En lo de la hermosura no me entremeto; que, en verdad, si va a decirla, que entrambas me parecen bien, puesto que yo nunca he visto a la señora Dulcinea.
+-¿Cómo que no la has visto, traidor blasfemo? -dijo don Quijote-. Pues ¿no acabas de traerme ahora un recado de su parte?
+-Digo que no la he visto tan despacio –dijo Sancho-, que pueda haber notado particularmente su hermosura y sus buenas partes punto por punto; pero así a bulto, me parece bien.
+-Ahora te disculpo -dijo don Quijote-, y perdóname el enojo que te he dado; que los primeros movimientos no son en manos de los hombres.
+-Ya yo lo veo -respondió Sancho-; y así, en mi la gana de hablar siempre es primero movimiento, y no puedo dejar de decir, por una vez siquiera, lo que me viene a la lengua.
+-Con todo eso -dijo don Quijote-, mira, Sancho, lo que hablas; porque tantas veces va el cantarillo a la fuente..., y no te digo más.
+-Ahora bien -respondió Sancho-, Dios está en el cielo, que ve las trampas, y será juez de quien hace más mal: yo en no hablar bien, o vuestra merced en no obrallo.
+-No haya más -dijo Dorotea-: corred, Sancho, y besad la mano a vuestro señor, y pedilde perdón, y de aquí adelante andad más atentado en vuestras alabanzas y vituperios, y no digáis mal de aquesa señora Tobosa, a quien yo no conozco si no es para servilla, y tened confianza en Dios, que no os ha de faltar un estado donde viváis como un príncipe.
+Fue Sancho cabizbajo y pidió la mano a su señor, y él se la dio con reposado continente; y después que se la hubo besado, le echó la bendición, y dijo a Sancho que se adelantase un poco, que tenía que preguntalle y que departir con él cosas
+de mucha importancia. Hízolo así Sancho y apartáronse los dos algo adelante, y díjole don Quijote:
+-Después que veniste, no he tenido lugar ni espacio para preguntarte muchas cosas de particularidad acerca de la embajada que llevaste y de la respuesta que trujiste; y ahora, pues la fortuna nos ha concedido tiempo y lugar, no me niegues tú la ventura que puedes darme con tan buenas nuevas.
+-Pregunte vuestra merced lo que quisiere -respondió Sancho-; que a todo daré tan buena salida como tuve la entrada. Pero suplico a vuestra merced, señor mío, que no sea de aquí adelante tan vengativo.
+-¿Por qué lo dices, Sancho? -dijo don Quijote.
+-Dígolo -respondió- porque estos palos de agora más fueron por la pendencia que entre los dos trabó el diablo la otra noche que por lo que dije contra mi señora Dulcinea, a quien amo y reverencio como a una reliquia, aunque en ella no la haya, sólo por ser cosa de vuestra merced.
+-No tornes a esas pláticas, Sancho, por tu vida -dijo don Quijote-, que me dan pesadumbre; ya te perdoné entonces, y bien sabes tú que suele decirse: «A pecado nuevo, penitencia nueva.
+Mientras esto pasaba, vieron venir por el camino donde ellos iban a un hombre caballero sobre un jumento, y cuando llegó cerca les pareció que era gitano; pero Sancho Panza, que doquiera que vía asnos se le iban los ojos y el alma, apenas hubo visto al hombre cuando conoció que era Ginés de Pasamonte, y por el hilo del gitano sacó el ovillo de su asno, como era la verdad, pues era el rucio sobre que Pasamonte venía; el cual, por no ser conocido y por vender el asno, se había puesto en traje de gitano, cuya lengua, y otras muchas, sabía hablar, como si fueran naturales suyas. Viole Sancho, y conocióle; y apenas le hubo visto y conocido, cuando a grandes voces le dijo:
+-¡Ah, ladrón Ginesillo! ¡Deja mi prenda, suelta mi vida, no te empaches con mi descanso, deja mi asno, deja mi regalo! ¡Huye, puto; auséntate, ladrón, y desampara lo que no es tuyo!
+No fueron menester tantas palabras ni baldones, porque a la primera saltó Ginés y, tomando un trote que parecía carrera, en un punto se ausentó y alejó de todos. Sancho llegó a su rucio, y, abrazándole, le dijo:
+-¿Cómo has estado, bien mío, rucio de mis ojos, compañero mío?
+Y con esto le besaba y acariciaba, como si fuera persona. El asno callaba y se dejaba besar y acariciar de Sancho, sin responderle palabra alguna. Llegaron todos y diéronle el parabién del hallazgo del rucio, especialmente don Quijote, el cual le dijo que no por eso anulaba la póliza de los tres pollinos. Sancho se lo agradeció.
+En tanto que los dos iban en estas pláticas, dijo el cura a Dorotea que había andado muy discreta, así en el cuento como en la brevedad dél y en la similitud que tuvo con los de los libros de caballerías. Ella dijo que muchos ratos se había entretenido en leellos; pero que no sabía ella dónde eran las provincias ni puertos de mar, y que, así, había dicho a tiento que se había desembarcado en Osuna.
+-Yo lo entendí así -dijo el cura-, y por eso acudí luego a decir lo que dije, con que se acomodó todo. Pero ¿no es cosa extraña ver con cuánta facilidad cree este desventurado hidalgo todas estas invenciones y mentiras, sólo porque llevan el estilo y modo de las necedades de sus libros?
+-Sí es -dijo Cardenio-; y tan rara y nunca vista, que yo no sé si queriendo inventarla y fabricarla mentirosamente, hubiera tan agudo ingenio que pudiera dar en ella.
+-Pues otra cosa hay en ello -dijo el cura-: que fuera de las simplicidades que este buen hidalgo dice tocantes a su locura, si le tratan de otras cosas, discurre con bonísimas razones y muestra tener un entendimiento claro y apacible en todo; de manera que, como no le toquen en sus caballerías, no habrá nadie que le juzgue sino por de muy buen entendimiento.
+En tanto que ellos iban en esta conversación, prosiguió don Quijote con la suya, y dijo a Sancho:
+-Echemos, Panza amigo, pelillos a la mar en esto de nuestras pendencias, y dime ahora, sin tener cuenta con enojo ni rencor alguno: ¿Dónde, cómo y cuándo hallaste a Dulcinea? ¿Qué hacía? ¿Qué le dijiste? ¿Qué te respondió? ¿Qué rostro hizo cuando leía mi carta? ¿Quién te la trasladó? Y todo aquello que vieres que en este caso es digno de saberse, de preguntarse y satisfacerse, sin que añadas o mientas por darme gusto, ni, menos, te acodes por no quitármele.
+-Señor -respondió Sancho-, si va a decir la verdad, la carta no me la trasladó nadie, porque yo no llevé carta alguna.
+-Así es como tú dices -dijo don Quijote-, porque el librillo de memoria donde yo la escribí le hallé en mi poder a cabo de dos días de tu partida, lo cual me causó grandísima pena, por no saber lo que habías tú de hacer cuando te vieses sin carta, y creí siempre que te volvieras desde el lugar donde la echaras menos.
+-Así fuera -respondió Sancho-, si no la hubiera yo tomado en la memoria cuando vuestra merced me la leyó, de manera, que se la dije a un sacristán, que me la trasladó del entendimiento tan punto por punto, que dijo que en todos los días de su vida, aunque había leído muchas cartas de descomunión, no había visto ni leído tan linda carta como aquélla.
+-Y ¿tiénesla todavía en la memoria, Sancho? -dijo don Quijote.
+-No, señor -respondió Sancho-, porque después que la di, como vi que no había de ser de más provecho, di en olvidalla, y si, algo se me acuerda, es aquello del sobajada, digo, del soberana señora, y lo último: Vuestro hasta la muerte, el Caballero de la Triste Figura. Y en medio destas dos cosas le puse más de trescientas almas, y vidas, y ojos míos.
+Capítulo 31: De los sabrosos razonamientos que pasaron entre don Quijote y Sancho Panza su escudero, con otros sucesos
+-Todo eso no me descontenta; prosigue adelante -dijo don Quijote-. Llegaste, ¿y qué hacia aquella reina de la hermosura? A buen seguro que la hallaste ensartando perlas, o bordando alguna empresa con oro de cañutillo, para este su cautivo caballero.
+-No la hallé -respondió Sancho- sino ahechando dos hanegas de trigo en un corral de su casa.
+-Pues haz cuenta -dijo don Quijote- que los granos de aquel trigo eran granos de perlas, tocados de sus manos. Y si miraste, amigo, el trigo ¿era candeal, o trechel?
+-No era sino rubión -respondió Sancho.
+-Pues yo te aseguro -dijo don Quijote- que, ahechado por sus manos, hizo pan candeal, sin duda alguna. Pero pasa adelante: cuando le diste mi carta, ¿besóla? ¿Púsosela sobre la cabeza? ¿Hizo alguna ceremonia digna de tal carta, o qué hizo?
+-Cuando yo se la iba a dar –respondió Sancho-, ella estaba en la fuga del meneo de una buena parte de trigo que tenía en la criba, y díjome: «Poned, amigo, esa carta sobre aquel costal; que no la puedo leer hasta que acabe de acribar todo lo que aquí está.»
+-¡Discreta señora! -dijo don Quijote-. Eso debió de ser por leerla despacio y recrearse con ella. Adelante, Sancho. Y en tanto que estaba en su menester, ¿qué coloquios pasó contigo? ¿Qué te preguntó de mi? Y tú, ¿qué le respondiste? Acaba, cuéntamelo todo; no se te quede en el tintero una mínima.
+-Ella no me preguntó nada -dijo Sancho-; mas yo le dije de la manera que vuestra merced, por su servicio, quedaba haciendo penitencia, desnudo de la cintura arriba, metido entre estas sierras como si fuera salvaje, durmiendo en el suelo, sin comer pan a manteles ni sin peinarse la barba, llorando, y maldiciendo su fortuna.
+-En decir que maldecía mi fortuna dijiste mal -dijo don Quijote-; porque antes la bendigo y bendeciré todos los días de mi vida, por haberme hecho digno de merecer amar tan alta señora como Dulcinea del Toboso.
+-Tan alta es -respondió Sancho-, que a buena fe que me lleva a mí más de un coto. -Pues, ¿cómo Sancho? -dijo don Quijote-. ¿Haste medido tú con ella?
+-Medíme en esta manera -le respondió Sancho-: que llegándole a ayudar a poner un costal de trigo sobre un jumento, llegamos tan juntos, que eché de ver que me llevaba más de un gran palmo.
+-Pues ¡es verdad -replicó don Quijote- que no acompaña esa grandeza y la adorna con mil millones de gracias del alma! Pero no me negarás, Sancho, una cosa: cuando llegaste junto a ella, ¿no sentiste un olor sabeo, una fragancia aromática, y un no sé qué de bueno, que yo no acierto a dalle nombre? Digo, ¿un tuho o tufo como si estuvieras en la tienda de algún curioso guantero?
+-Lo que sé decir -dijo Sancho- es que sentí un olorcillo algo hombruno; y debía de ser que ella, con el mucho ejercicio, estaba sudada y algo correosa.
+-No seria eso -respondió don Quijote-; si no que tú debías de estar romanizado, o te debiste de oler a ti mismo; porque yo sé bien a lo que huele aquella rosa entre espinas, aquel lirio del campo, aquel ámbar desleído.
+-Todo puede ser -respondió Sancho-; que muchas veces sale de mí aquel olor que entonces me pareció que salía de su merced de la señora Dulcinea; pero no hay de qué maravillarse, que un diablo parece a otro.
+-Y bien -prosiguió don Quijote-, he aquí que acabó de limpiar su trigo y de enviallo al molino. ¿Qué hizo cuando leyó la carta?
+-La carta -dijo Sancho- no la leyó, porque dijo que no sabía leer ni escribir; antes la rasgó y la hizo menudas piezas, diciendo que no la quería dar a leer a nadie, porque no se supiesen en el lugar sus secretos, y que bastaba lo que yo le había dicho de palabra acerca del amor que vuestra merced le tenía y de la penitencia extraordinaria que por su causa quedaba haciendo. Y, finalmente, me dijo que dijese a vuestra merced que le besaba las manos, y que allí quedaba con más deseos de verle que de escribirle; y que, así, le suplicaba y mandaba, que, vista la presente, saliese de aquellos matorrales y se dejase de hacer disparates, y se pusiese luego en camino del Toboso, si otra cosa de más importancia no le sucediese, porque tenía gran deseo de ver a vuestra merced. Rióse mucho cuando le dije cómo se llamaba vuestra merced el Caballero de la Triste Figura. Preguntéle si había ido allá el vizcaíno de marras; díjome que sí, y que era un hombre muy de bien. También le pregunté por los galeotes; mas díjome que no había visto hasta entonces alguno.
+-Todo va bien hasta agora -dijo don Quijote-. Pero dime: ¿qué joya fue la que te dio al despedirte, por las nuevas que de mí le llevaste? Porque es usada y antigua costumbre entre los caballeros y damas andantes dar a los escuderos, doncellas o enanos que les llevan nuevas, de sus damas a ellos, a ellas de sus andantes, alguna rica joya en albricias, en agradecimiento de su recado.
+-Bien puede eso ser así, y yo la tengo por buena usanza; pero eso debió de ser en los tiempos pasados; que ahora sólo se debe de acostumbrar a dar un pedazo de pan y queso, que esto fue lo que me dio mi señora Dulcinea, por las bardas de un corral, cuando della me despedí: y aun por más señas, era el queso ovejuno.
+-Es liberal en extremo -dijo don Quijote-; y si no te dio joya de oro, sin duda debió de ser porque no la tendría allí a la mano para dártela; pero buenas son mangas después de Pascua: yo la veré, y se satisfará todo. ¿Sabes de qué estoy maravillado, Sancho? De que me parece que fuiste y veniste por los aires, pues poco más de tres días has tardado en ir y venir desde aquí al Toboso, habiendo de aquí allá más de treinta leguas; por lo cual me doy a entender que aquel sabio
+nigromante que tiene cuenta con mis cosas y es mi amigo (porque por fuerza le hay, y le ha de haber, so pena que yo no sería buen caballero andante), digo que éste tal te debió de ayudar a caminar, sin que tú lo sintieses; que hay sabio destos que coge a un caballero andante durmiendo en su cama, y sin saber cómo o en qué manera, amanece otro día más de mil leguas de donde anocheció. Y si no fuese por esto, no se podrían socorrer en sus peligros los caballeros andantes unos a otros, como se socorren a cada paso; que acaece estar uno peleando en las sierras de Armenia con algún endriago, o con algún fiero vestigio, o con otro caballero, donde lleva lo peor de la batalla y está ya a punto de muerte, y cuando no os me cato, asoma por acullá, encima de una nube, o sobre un carro de fuego, otro caballero amigo suyo, que poco antes se hallaba en Ingalaterra, que le favorece y libra de la muerte, y a la noche se halla en su posada, cenando muy a su sabor; y suele haber de la una a la otra parte dos o tres mil leguas. Y todo esto se hace por industria y sabiduría destos sabios encantadores que tienen cuidado destos valerosos caballeros. Así que, amigo Sancho, no se me hace dificultoso creer que en tan breve tiempo hayas ido y venido desde este lugar al del Toboso, pues, como tengo dicho, algún sabio amigo te debió de llevar en volandillas, sin que tú lo sintieses.
+-Así seria -dijo Sancho-; porque a buena fe que andaba Rocinante como si fuera asno de gitano con azogue en los oídos.
+-Y ¡cómo si llevaba azogue! -dijo don Quijote-. Y aun una legión de demonios, que es gente que camina y hace caminar, sin cansarse, todo aquello que se les antoja. Pero, dejando esto aparte, ¿qué te parece a ti que debo yo de hacer ahora cerca de lo que mi señora me manda que la vaya a ver? Que, aunque yo veo que estoy obligado a cumplir su mandamiento, véome también imposibilitado del don que he prometido a la princesa que con vosotros viene, y fuérzame la ley de caballería a cumplir mi palabra antes que mi gusto. Por una parte, me acosa y fatiga el deseo de ver a mi señora; por otra, me incita y llama la prometida fe, y la gloria que he de alcanzar en esta empresa. Pero lo que pienso hacer será caminar apriesa y llegar presto donde está este gigante, y en llegando, le cortaré la cabeza, y pondré a la princesa pacíficamente en su estado, y al punto daré la vuelta a ver a la luz que mis sentidos alumbra, a la cual daré tales disculpas, que ella venga a tener por buena mi tardanza, pues verá que todo redunda en aumento de su gloria y fama, pues cuanta yo he alcanzado, alcanzo y alcanzaré por las armas en esta vida, toda me viene del favor que ella me da y de ser yo suyo.
+-¡Ay -dijo Sancho-, y cómo está vuestra merced lastimado de esos cascos! Pues digame, señor: ¿piensa vuestra merced caminar este camino en balde, y dejar pasar y perder un tan rico y tan principal casamiento como este, donde le dan en dote un reino, que a buena verdad que he oído decir que tiene más de veinte mil leguas de contorno, y que es abundantísimo de todas las cosas que son necesarias para el sustento de la vida humana, y que es mayor que Portugal y que Castilla juntos? Calle, por amor de Dios, y tenga vergüenza de lo que ha dicho, y tome mi consejo, y perdóneme, y cásese luego en el primer lugar que haya cura; y si no, ahí está nuestro licenciado, que lo hará de perlas. Y advierta que ya tengo edad para dar consejos, y que éste que le doy le viene de molde, y que más vale pájaro en mano que buitre volando, porque quien bien tiene y mal escoge, por bien que se enoja no se venga.
+-Mira, Sancho -respondió don Quijote-; si el consejo que me das de que me case es porque sea luego rey en matando al gigante, y tenga cómodo para hacerte mercedes y darte lo prometido, hágote saber que sin casarme podré cumplir tu deseo muy fácilmente; porque yo sacaré de adahala, antes de entrar en la batalla, que, saliendo vencedor della, ya que no me case, me han de dar una parte del reino, para que la pueda dar a quien yo quisiere; y en dándomela, ¿a quién quieres tú que la dé sino a ti?
+-Eso está claro -respondió Sancho-; pero mire vuestra merced que la escoja hacia la marina, porque, si no me contentare la vivienda, pueda embarcar mis negros vasallos y hacer dellos lo que ya he dicho. Y vuestra merced no se cure de ir por agora a ver a mi señora Dulcinea, sino váyase a matar al gigante, y concluyamos este negocio; que por Dios que se me asienta que ha de ser de mucha honra y de mucho provecho.
+-Dígote, Sancho -dijo don Quijote-, que estás en lo cierto, y que habré de tomar tu consejo en cuanto el ir antes con la princesa que a ver a Dulcinea. Y avisote que no digas nada a nadie, ni a los que con nosotros vienen, de lo que aquí hemos departido y tratado; que pues Dulcinea es tan recatada, que no quiere que se sepan sus pensamientos, no será bien que yo, ni otro por mi, los descubra.
+-Pues si eso es así -dijo Sancho-, ¿cómo hace vuestra merced que todos los que vence por su brazo se vayan a presentar ante mi señora Dulcinea, siendo esto firma de su nombre que la quiere bien y que es su enamorado? Y siendo forzoso que los que fueren se han de ir a hincar de finojos ante su presencia, y decir que van de parte de vuestra merced a dalle la obediencia, ¿cómo se pueden encubrir los pensamientos de entrambos?
+-¡Oh, qué necio y qué simple eres! –dijo don Quijote-. ¿Tú no ves, Sancho, que eso todo redunda en su mayor ensalzamiento? Porque has de saber que en este nuestro estilo de caballería es gran honra tener una dama muchos caballeros andantes que la sirvan, sin que se extiendan más sus pensamientos que a servilla por sólo ser ella quien es, sin esperar otro premio de sus muchos y buenos deseos sino que ella se contente de acetarlos por sus caballeros.
+-Con esa manera de amor -dijo Sancho- he oído yo predicar que se ha de amar a Nuestro Señor, por si sólo, sin que nos mueva esperanza de gloria o temor de pena. Aunque yo le querría amar y servir por lo que pudiese.
+-¡Válate el diablo por villano -dijo don Quijote-, y qué de discreciones dices a las veces! No parece sino que has estudiado.
+-Pues a fe mía que no sé leer –respondió Sancho.
+En esto les dio voces maese Nicolás que esperasen un poco; que querían detenerse a beber en una fontecilla que allí estaba. Detúvose don Quijote, con no poco gusto de Sancho, que ya estaba cansado de mentir tanto y temía no le cogiese su amo a palabras; porque, puesto que él sabia que Dulcinea era una labradora del Toboso, no la había visto en toda su vida.
+Habíase en este tiempo vestido Cardenio los vestidos que Dorotea traía cuando la hallaron, que aunque no eran muy buenos, hacían mucha ventaja a los que dejaba. Apeáronse junto a la fuente, y con lo que el cura se acomodó en la venta satisficieron, aunque poco, la mucha hambre que todos traían.
+Estando en esto, acertó a pasar por allí un muchacho que iba de camino, el cual, poniéndose a mirar con mucha atención a los que en la fuente estaban, de allí a poco arremetió a don Quijote y, abrazándole por las piernas, comenzó a llorar muy de propósito, diciendo:
+-¡Ay, señor mío! ¿No me conoce vuestra merced? Pues míreme bien; que yo soy aquel mozo Andrés que quitó vuestra merced de la encina donde estaba atado.
+Reconocióle don Quijote, y asiéndole por la mano, se volvió a los que allí estaban, y dijo:
+-Porque vean vuestras mercedes cuán de importancia es haber caballeros andantes en el mundo, que desfagan los tuertos y agravios que en él se hacen por los insolentes y malos hombres que en él viven, sepan vuestras mercedes que los días pasados, pasando yo por un bosque, oí unos gritos y unas voces muy lastimosas, como de persona afligida y menesterosa; acudí luego, llevado de mi obligación, hacia la parte donde me pareció que las lamentables voces sonaban, y hallé atado a una encina a este muchacho que ahora está delante, de lo que me huelgo en el alma, porque será testigo que no me dejará mentir en nada. Digo que estaba atado a la encina, desnudo del medio cuerno arriba, y estábale abriendo a azotes con las riendas de una yegua un villano, que después supe que era amo suyo; y así como yo le vi le pregunté la causa de tan atroz vapulamiento; respondió el zafio que le azotaba porque era su criado, y que ciertos descuidos que tenía nacían más de ladrón que de simple; a lo cual este niño dijo: «Señor, no me azota sino porque le pido mi salario.» El amo replicó no sé qué arengas y disculpas, las cuales, aunque de mí fueron oídas, no fueron admitidas. En resolución, yo le hice desatar, y tomé juramento al villano de que le llevaría consigo y le pagaría un real sobre otro, y aun sahumados. ¿No es verdad todo esto, hijo Andrés? ¿No notaste con cuánto imperio se lo mandé, y con cuánta humildad prometió de hacer todo cuanto yo le impuse y notifiqué y quise? Responde; no te turbes ni dudes en nada; di lo que pasó a estos señores, porque se vea y considere ser del provecho que digo haber caballeros andantes por los caminos.
+-Todo lo que vuestra merced ha dicho es mucha verdad -respondió el muchacho-; pero el fin del negocio sucedió muy al revés de lo que vuestra merced se imagina.
+-¿Cómo al revés? -replicó don Quijote-.Luego ¿no te pagó el villano?
+-No sólo no me pagó -respondió el muchacho-, pero así como vuestra merced traspuso del bosque y quedamos solos, me volvió a atar a la mesma encina y me dio de nuevo tantos azotes, que quedé hecho un San Bartolomé desollado; y a cada azote que me daba, me decía un donaire y chufeta acerca de hacer burla de vuestra merced, que, a no sentir yo tanto dolor, me riera de lo que decía. En efecto, él me paró tal, que hasta ahora he estado curándome en un hospital del mal que el mal villano entonces me hizo. De todo lo cual tiene vuestra merced la culpa; porque si se fuera su camino adelante y no viniera donde no le llamaban, ni se entremetiera en negocios ajenos, mi amo se contentara con darme una o dos docenas de azotes, y luego me soltara y pagara cuanto me debía. Mas como vuestra merced le deshonró tan sin propósito, y le dijo tantas villanías, encendiósele la cólera, y como no lo pudo vengar en vuestra merced, cuando se vio solo descargó sobre mí el nublado, de modo, que me parece que no seré más hombre en toda mi vida.
+-El daño estuvo -dijo don Quijote- en irme yo de allí, que no me había de ir hasta dejarte pagado; porque bien debía yo de saber, por luengas experiencias, que no hay villano que guarde palabra que diere, si él vee que no le está bien guardalla. Pero ya te acuerdas, Andrés, que yo juré que si no te pagaba, que había de ir a buscarle, y que le había de hallar, aunque se escondiese en el vientre de la ballena.
+-Así es la verdad -dijo Andrés-; pero no aprovechó nada. -Ahora verás si aprovecha -dijo don Quijote.
+Y diciendo esto, se levantó muy apriesa y mandó a Sancho que enfrenase a Rocinante, que estaba paciendo en tanto que ellos comían.
+Preguntóle Dorotea qué era lo que hacer quería. El le respondió que quería ir a buscar al villano y castigalle de tan mal término, y hacer pagado a Andrés hasta el último maravedí, a despecho y pesar de cuantos villanos hubiese en el mundo; a lo que ella respondió que advirtiese que no podía, conforme al don prometido, entremeterse en ninguna empresa hasta acabar la suya; y que pues esto sabía él mejor que otro alguno, que sosegase el pecho hasta la vuelta de su reino.
+-Así es verdad -respondió don Quijote-,y es forzoso que Andrés tenga paciencia hasta la vuelta, como vos, señora, decís; que yo le torno a jurar y a prometer de nuevo de no parar hasta hacerle vengado y pagado.
+-No me creo desos juramentos -dijo Andrés-; más quisiera tener agora con que llegar a Sevilla que todas las venganzas del mundo: déme, si tiene ahí, algo que coma y lleve, y quédese con Dios su merced y todos los caballeros andantes, que tan bien andantes sean ellos para consigo como lo han sido para conmigo.
+Sacó de su repuesto Sancho un pedazo de pan y otro de queso, y dándoselo al mozo, le dijo:
+-Toma, hermano Andrés, que a todos nos alcanza parte de vuestra desgracia. -Pues ¿qué parte os alcanza a vos? -preguntó Andrés.
+-Esta parte de queso y pan que os doy -respondió Sancho-, que Dios sabe si me ha de hacer falta o no; porque os hago saber, amigo, que los escuderos de los caballeros andantes estamos sujetos a mucha hambre y a mala ventura, y aun a otras cosas que se sienten mejor que se dicen.
+Andrés asió de su pan y queso y, viendo que nadie le daba otra cosa, abajó su cabeza y tomó el camino en las manos, como suele decirse. Bien es verdad que, al partirse, dijo a don Quijote:
+-Por amor de Dios, señor caballero andante, que si otra vez me encontrare, aunque vea que me hacen pedazos, no me socorra ni ayude, sino déjeme con mi desgracia; que no será tanta, que no sea mayor la que me vendrá de su ayuda de vuestra merced, a quien Dios maldiga, y a todos cuantos caballeros andantes han nacido en el mundo.
+Ibase a levantar don Quijote para castigalle; mas él se puso a correr de modo que ninguno se atrevió a seguille. Quedó corridísimo don Quijote del cuento de Andrés, y fue menester que los demás tuviesen mucha cuenta con no reírse, por no acaballe de correr del todo.
+Capítulo 32: Que trata de lo que sucedió en la venta a toda la cuadrilla de don Quijote
+Acabóse la buena comida, ensillaron luego y, sin que les sucediese cosa digna de contar, llegaron otro día a la venta, espanto y asombro de Sancho Panza; y aunque él quisiera no entrar en ella, no lo pudo huir. La ventera, ventero, su hija y Maritornes, que vieron venir a don Quijote y a Sancho, les salieron a recebir con muestras de mucha alegría, y él las recibió con grave continente y aplauso; y dijoles que le aderezasen otro mejor lecho que la vez pasada; a lo cual le respondió la huéspeda que como la pagase mejor que la otra vez, que ella se la daría de príncipes. Don Quijote dijo que sí haría, y así, le aderezaron uno razonable en el mismo caramanchón de marras, y él se acostó luego, porque venía muy quebrantado y falto de juicio.
+No se hubo bien encerrado cuando la huéspeda arremetió al barbero, y asiéndole de la barba, dijo:
+-Para mi santiguada que no se ha aún de aprovechar más de mi rabo para su barba, y que me ha de volver mi cola; que anda lo de mi marido por esos suelos, que es vergüenza; digo, el peine, que solía yo colgar de mi buena cola.
+No se la quería dar el barbero, aunque ella más tiraba, hasta que el licenciado le dijo que se la diese; que ya no era menester más usar de aquella industria, sino que se descubriese y mostrase en su misma forma, y dijese a don Quijote que cuando le despojaron los ladrones galeotes se había venido a aquella venta huyendo; y que si preguntase por el escudero de la princesa, le dirían que ella le había enviado adelante a dar aviso a los de su reino cómo ella iba y llevaba consigo el libertador de todos. Con esto dio de buena gana la cola a la ventera el barbero, y asimismo le volvieron todos los adherentes que había prestado para la libertad de don Quijote. Espantáronse todos los de la venta de la hermosura de Dorotea, y aun del buen talle del zagal Cardenio. Hizo el cura que les aderezasen de comer de lo que en la venta hubiese, y el huésped, con esperanza de mejor paga, con diligencia les aderezó una razonable comida; y a todo esto dormía don Quijote, y fueron de parecer de no despertalle, porque más provecho le haría por entonces el dormir que el comer. Trataron sobre comida, estando delante el ventero, su mujer, su hija, Maritornes y todos los pasajeros, de la extraña locura de don Quijote y del modo que le habían hallado. La huéspeda les contó lo que con él y con el harriero les había acontecido, y mirando si acaso estaba allí Sancho, como no le viese, contó todo lo de su manteamiento, de que no poco gusto recibieron. Y como el cura dijese que los libros de caballerías que don Quijote había leído le habían vuelto el juicio, dijo el ventero:
+-No sé yo cómo puede ser eso; que en verdad que, a lo que yo entiendo, no hay mejor letrado en el mundo, y que tengo ahí dos o tres dellos, con otros papeles, que verdaderamente me han dado la vida, no sólo a mí, sino a otros muchos;
+porque cuando es tiempo de la siega, se recogen aquí las fiestas muchos segadores, y siempre hay alguno que sabe leer, el cual coge uno destos libros en las manos, y rodeámonos dél más de treinta, y estámosle escuchando con tanto gusto, que nos quita mil canas; a lo menos, de mí sé decir que cuando oyó decir aquellos furibundos y terribles golpes que los caballeros pegan, que me toma gana de hacer otro tanto, y que querría estar oyéndolos noches y días.
+-Y yo ni más ni menos -dijo la ventera-; porque nunca tengo buen rato en mi casa sino aquel que vos estáis escuchando leer; que estáis tan embobado, que no os acordáis de reñir por entonces.
+-Así es la verdad -dijo Maritornes-; y a buena fe que yo también gusto mucho de oír aquellas cosas, que son muy lindas, y más cuando cuentan que se está la otra señora debajo de unos naranjos abrazada con su caballero, y que les está una dueña haciéndoles la guarda, muerta de envidia y con mucho sobresalto. Digo que todo esto es cosa de mieles.
+-Y a vos, ¿qué os parece, señora doncella? -dijo el cura, hablando con la hija del ventero.
+-No sé, señor, en mi ánima –respondió ella-; también yo lo escucho, y en verdad que, aunque no lo entiendo, que recibo gusto en oíllo; pero no gusto yo de los golpes de que mi padre gusta, sino de las lamentaciones que los caballeros hacen cuando están ausentes de sus señoras; que en verdad que algunas veces me hacen llorar, de compasión que les tengo.
+-Luego ¿bien las remediárades vos, señora doncella -dijo Dorotea-, si por vos lloraran?
+-No sé lo que me hiciera -respondió la moza-; sólo sé que hay algunas señoras de aquéllas tan crueles, que las llaman sus caballeros tigres, y leones, y otras mil inmundicias. Y, ¡Jesús!, yo no sé qué gente es aquélla tan desalmada y tan sin conciencia, que por no mirar a un hombre honrado, le dejan que se muera, o que se vuelva loco. Yo no sé para qué es tanto melindre: si lo hacen de honradas, cásense con ellos; que ellos no desean otra cosa.
+-Calla, niña -dijo la ventera-; que parece que sabes mucho destas cosas, y no está bien a las doncellas saber ni hablar tanto.
+-Como me lo pregunta este señor -respondió ella-, no pude dejar de respondelle.
+-Ahora bien -dijo el cura-, traedme, señor huésped, aquesos libros, que los quiero ver.
+-Que me place -respondió él.
+Y entrando en su aposento, sacó dél una maletilla vieja, cerrada con una cadenilla, y, abriéndola, halló en ella tres libros grandes y unos papeles de muy buena letra, escritos de mano. El primer libro que abrió vio que era Don Cirongilio de Tracia; y el otro, de Félixmarte de Hircania; y el otro, la Historia del Gran Capitán Gonzalo Hernández de Córdoba, con la vida de Diego García de Paredes. Así como el cura leyó los dos títulos primeros, volvió el rostro al barbero, y dijo:
+-Falta nos hacen aquí ahora el ama de mi amigo y su sobrina.
+-No hacen -respondió el barbero-, que también sé yo llevallos al corral, o a la chimenea; que en verdad que hay muy buen fuego en ella.
+-Luego ¿quiere vuestra merced quemar mis libros? -dijo el ventero.
+-No más -dijo el cura- que estos dos: el de Don Cirongilio y el de Félixmarte.
+-Pues, por ventura -dijo el ventero-, ¿mis libros son herejes o flemáticos, que los quiere quemar?
+-Cismáticos queréis decir, amigo -dijo el barbero-; que no flemáticos.
+-Así es -replicó el ventero-. Mas si alguno quiere quemar, sea ése del Gran Capitán y dese Diego García; que antes dejaré quemar un hijo que dejar quemar ninguno desotros.
+-Hermano mío -dijo el cura-, estos dos libros son mentirosos y están llenos de disparates y devaneos, y éste del Gran Capitán es historia verdadera y tiene los hechos de Gonzalo Hernández de Córdoba, el cual, por sus muchas y grandes hazañas, mereció ser llamado de todo el mundo Gran Capitán, renombre famoso y claro, y dél sólo merecido; y este Diego García de Paredes fue un principal caballero natural de la ciudad de Trujillo, en Extremadura, valentísimo soldado, y de tantas fuerzas naturales, que detenía con un dedo una rueda de molino en la mitad de su furia; y, puesto con un montante en la entrada de una puente, detuvo a todo un innumerable ejército, que no pasase por ella; y hizo otras tales cosas, que si como él las cuenta y las escribe él asimismo, con la modestia de caballero y de coronista propio, las escribiera otro libre y desapasionado, pusieran en olvido las de los Hétores, Aquiles y Roldanes.
+-¡Tomaos con mi padre! -dijo el dicho ventero-. ¡Mirad de qué se espanta; de detener una rueda de molino! Por Dios, ahora había vuestra merced de leer lo que leí yo de Félixmarte de Hircania, que de un revés solo partió cinco gigantes por la cintura, como si fueran hechos de habas, como los frailecicos que hacen los niños. Y otra vez arremetió con un grandísimo y poderosísimo ejército, donde llevó más de un millón y seiscientos mil soldados, todos armados desde el pie hasta la cabeza, y los desbarató a todos, como si fueran manadas de ovejas. Pues ¿qué me dirán del bueno de don Cirongilio de Tracia, que fue tan valiente y animoso como se verá en el libro, donde cuenta que navegando por un río, le salió de la mitad del agua una serpiente de fuego, y él, así como la vio, se arrojó sobre ella, y se puso a horcajadas encima de sus escamosas espaldas, y la apretó con ambas manos la garganta con tanta fuerza, que viendo la serpiente que la iba ahogando, no tuvo otro remedio sino dejarse ir a lo hondo del río, llevándose tras sí al caballero, que nunca la quiso soltar? Y cuando llegaron allá abajo, se halló en unos palacios y en unos jardines tan lindos, que era maravilla; y luego la sierpe se volvió en un viejo anciano, que le dijo tantas de cosas, que no hay más que oír. Calle, señor; que si oyese esto, se volvería loco de placer. ¡Dos higas para el Gran Capitán y para ese Diego García que dice!
+Oyendo esto Dorotea, dijo callando a Cardenio:
+-Poco le falta a nuestro huésped para hacer la segunda parte de don Quijote.
+-Así me parece a mí -respondió Cardenio-; porque, según da indicio, él tiene por cierto que todo lo que estos libros cuentan pasó ni más ni menos que lo escriben, y no le harán creer otra cosa frailes descalzos.
+-Mirad, hermano -tomó a decir el cura-, que no hubo en el mundo Félixmarte de Hircania, ni don Cirongilio de Tracia, ni otros caballeros semejantes que los libros de caballerías cuentan; porque todo es compostura y ficción de ingenios ociosos, que los compusieran para el efecto que vos decís de entretener el tiempo, como lo entretienen leyéndolos vuestros segadores. Porque realmente os juro que nunca tales caballeros fueron en el mundo, ni tales hazañas ni disparates acontecieron en él.
+-¡A otro perro con ese hueso! –respondió el ventero-. ¡Como si yo no supiese cuántas son cinco, y adónde me aprieta el zapato! No piense vuestra merced darme papilla, porque por Dios que no soy nada blanco. ¡Bueno es que quiera darme vuestra merced a entender que todo aquello que estos buenos libros dicen sea disparates y mentiras, estando impreso con licencia de los señores del Consejo Real, como si ellos fueran gente que habían de dejar imprimir tanta mentira junta, y tantas batallas y tantos encantamentos que quitan el juicio!
+-Ya os he dicho, amigo -replicó el cura-, que ello se hace para entretener nuestros ociosos pensamientos; y así como se consiente en las repúblicas bien concertadas que haya juegos de ajedrez, de pelota y de trucos, para entretener a algunos que ni quieren, ni deben, ni pueden trabajar, así se consiente imprimir y que haya tales libros, creyendo, como es verdad, que no ha de haber alguno tan ignorante, que tenga por historia verdadera ninguna destos libros. Y si me fuera lícito agora, y el auditorio lo requiriera, yo dijera cosas acerca de lo que han de tener los libros de caballería para ser buenos, que quizá fueran de provecho, y aun de gusto para algunos; pero yo espero que vendrá tiempo en que lo pueda comunicar con quien pueda remediallo, y en este entretanto creed, señor ventero, lo que os he dicho, y tomad vuestros libros, y allá os avenid con sus verdades o mentiras, y buen provecho os hagan, y quisiera Dios que no cojeéis del pie que cojea vuestro huésped don Quijote.
+-Eso no -respondió el ventero-; que no seré yo tan loco que me haga caballero andante; que bien veo que ahora no se usa lo que se usaba en aquel tiempo, cuando se dice que andaban por el mundo estos famosos caballeros.
+A la mitad desta plática se halló Sancho presente, y quedó muy confuso y pensativo de lo que había oído decir que ahora no se usaban caballeros andantes, y que todos los libros de caballerías eran necedades y mentiras, y propuso en su corazón de esperar en lo que paraba aquel viaje de su amo, y que si no salía con la felicidad que él pensaba, determinaba de dejalle y volverse con su mujer y sus hijos a su acostumbrado trabajo.
+Llevábase la maleta y los libros el ventero; mas el cura le dijo:
+-Esperad, que quiero ver qué papeles son ésos. que de tan buena letra están escritos.
+Sacólos el huésped, y dándoselos a leer, vio hasta obra de ocho pliegos escritos de mano, y al principio tenían un título grande que decía: Novela del Curioso impertinente. Leyó el cura para sí tres o cuatro renglones, y dijo:
+-Cierto que no me parece mal el titulo desta novela, y que me viene voluntad de leella toda.
+A lo que respondió el ventero:
+-Pues bien puede leella su reverencia, porque le hago saber que a algunos huéspedes que aquí la han leído les ha contentado mucho, y me la han pedido con muchas veras; mas yo no se la he querido dar, pensando volvérsela a quien aquí dejó esta maleta olvidada con estos libros y esos papeles; que bien puede ser que vuelva su dueño por aquí algún tiempo, y que sé que me han de hacer falta los libros, a fe que se los he de volver; que, aunque ventero, todavía soy cristiano.
+-Vos tenéis mucha razón, amigo -dijo el cura-; mas, con todo eso, si la novela me contenta, me la habéis de dejar trasladar.
+-De muy buena gana -respondió el ventero.
+Mientras los dos esto decían, había tomado Cardenio la novela y comenzado a leer en ella; y pareciéndole lo mismo que al cura, le rogó que la leyese de modo que todos la oyesen.
+-Si leyera -dijo el cura-, si no fuera mejor gastar este tiempo en dormir que en leer.
+-Harto reposo será para mi -dijo Dorotea- entretener el tiempo oyendo algún cuento, pues aún no tengo el espíritu tan sosegado, que me conceda dormir cuando fuera razón.
+-Pues desa manera -dijo el cura-, quiero leerla, por curiosidad siquiera: quizá tendrá alguna de gusto.
+Acudió maese Nicolás a rogarle lo mesmo, y Sancho también; lo cual visto del cura, y entendiendo que a todos daría gusto y él le recibiría, dijo:
+-Pues así es, esténme todos atentos; que la novela comienza desta manera:
+Capítulo 33: Donde se cuenta la novela del Curioso impertinente
+En Florencia, ciudad rica y famosa de Italia, en la provincia que llaman Toscana, vivían Anselmo y Lotario, dos caballeros ricos y principales, y tan amigos, que, por excelencia y antonomasia, de todos los que los conocían los dos amigos eran llamados. Eran solteros, mozos de una misma edad y de unas mismas costumbres; todo lo cual era bastante causa a que los dos con recíproca amistad se correspondiesen. Bien es verdad que el Anselmo era algo más inclinado a los pasatiempos amorosos que el Lotario, al cual llevaban tras silos de la caza; pero cuando se ofrecía, dejaba Anselmo de acudir a sus gustos, por seguir los de Lotario, y Lotario dejaba los suyos, por acudir a los de Anselmo; y desta manera, andaban tan a una sus voluntades, que no había concertado reloj que así lo anduviese.
+Andaba Anselmo perdido de amores de una doncella principal y hermosa de la misma ciudad, hija de tan buenos padres y tan buena ella por si, que se determinó, con el parecer de su amigo Lotario, sin el cual ninguna cosa hacia, de pedilla por esposa a sus padres, y así lo puso en ejecución; y el que llevó la embajada fue Lotario, y el que concluyó el negocio, tan a gusto de su amigo, que en breve tiempo se vio puesto en la posesión que deseaba, y Camila tan contenta de haber alcanzado a Alselmo por esposo, que no cesaba de dar gracias al cielo, y a Lotario, por cuyo medio tanto bien le había venido. Los primeros días, como todos los de boda suelen ser alegres, continuó Lotario como solía la casa de su amigo Anselmo, procurando honralle, festejalle y regocijalle con todo aquello que a él le fue posible; pero acabadas las bodas, y sosegada ya la frecuencia de las visitas y parabienes, comenzó Lotario a descuidarse con cuidado de las idas en casa de Anselmo, por parecerle a él (como es razón que parezca a todos los que fueren discretos) que no se han de visitar ni continuar las casas de los amigos casados de la misma manera que cuando eran solteros; porque aunque la buena y verdadera amistad no puede ni debe de ser sospechosa en nada, con todo esto, es tan delicada la honra del casado, que parece que se puede ofender aun de los mesmos hermanos, cuanto más de los amigos.
+Notó Anselmo la remisión de Lotario, y formó dél quejas grandes, diciéndole que si él supiera que el casarse había de ser parte para no comunicalle como solía, que jamás lo hubiera hecho; y que si, por la buena correspondencia que los dos tenían mientras él fue soltero, habían alcanzado tan dulce nombre como el de ser llamados los dos amigos, que no permitiese, por querer hacer del circunspecto, sin otra ocasión alguna, que tan famoso y tan agradable nombre se perdiese; y que así, le suplicaba, si era licito que tal término de hablar se usase entre ellos, que volviese a ser señor de su casa, y a entrar y salir en ella como de antes, asegurándole que su esposa Camila no tenía otro gusto ni otra voluntad que la que él quería que tuviese, y que por haber sabido ella con cuántas veras los dos se amaban, estaba confusa de ver en él tanta esquiveza.
+A todas estas y otras muchas razones que Anselmo dijo a Lotario para persuadirle volviese como solía a su casa, respondió Lotario con tanta prudencia, discreción y aviso, que Anselmo quedó satisfecho de la buena intención de su amigo, y quedaron de concierto que dos días en la semana y las fiestas fuese Lotario a comer con él; y aunque esto quedó así concertado entre los dos, propuso Lotario de no hacer más de aquello que viese que más convenía a la honra de su amigo, cuyo crédito estimaba en más que el suyo propio.
+Decía él, y decía bien, que el casado a quien el cielo había concedido mujer hermosa tanto cuidado había de tener qué amigos llevaba a su casa como en mirar con qué amigas su mujer conversaba; porque lo que no se hace ni concierta en las plazas, ni en los templos, ni en las fiestas públicas ni estaciones (cosas que no todas veces las han de negar los maridos a sus mujeres), se concierta y facilita en casa de la amiga o la parienta de quien mas satisfacción se tiene. También decía Lotario que tenían necesidad los casados de tener cada uno algún amigo que le advirtiese de los descuidos que en su proceder hiciese, porque suele acontecer que con el mucho amor que el marido a la mujer tiene, o no le advierte, o no le dice, por no enojalla, que haga o deje de hacer algunas cosas, que el hacellas, o no, le seria de honra, o de vituperio; de lo cual, siendo del amigo advertido, fácilmente pondría remedio en todo. Pero ¿dónde se hallará amigo tan discreto y tan leal y verdadero como aquí Lotario le pide? No lo sé yo, por cierto; sólo Lotario era este, que con toda solicitud y advertimiento miraba por la honra de su amigo, y procuraba dezmar, frisar y acortar los días del concierto del ir a su casa, porque no pareciese mal al vulgo ocioso y a los ojos vagabundos y maliciosos la entrada de un mozo rico, gentilhombre y bien nacido, y de las buenas partes que él pensaba que tenía, en la casa de una mujer tan hermosa como Camila; que, puesto que su bondad y valor podía poner freno a toda maldiciente lengua, todavía no quería poner en duda su crédito ni el de su amigo, y por esto los más de los días del concierto los ocupaba y entretenía en otras cosas, que él daba a entender ser inexcusables; así que en quejas del uno y disculpas del otro se pasaban muchos ratos y partes del día.
+Sucedió, pues, que uno que los dos se andaban paseando por un prado fuera de la ciudad, Anselmo dijo a Lotario las semejantes razones:
+-Pensabas, amigo Lotario, que a las mercedes que Dios me ha hecho en hacerme hijo de tales padres como fueron los míos y al darme, no con mano escasa, los bienes, así los que llaman de naturaleza como los de fortuna, no puedo yo corresponder con agradecimiento que llegue al bien recebido, y sobre al que me hizo en darme a ti por amigo y a Camila por mujer propia, dos prendas, que las estimo, si no en el grado que debo, en el que puedo. Pues con todas estas partes, que suelen ser el todo con que los hombres suelen y pueden vivir contentos, vivo yo el más despechado y el mas desabrido hombre de todo el universo mundo; porque no sé de qué días a esta parte me fatiga y aprieta un deseo tan extraño y tan fuera del uso común de otros, que yo me maravillo de mi mismo, y me culpo y me riño a solas, y procuro callarlo y encubrirlo de mis propios pensamientos; y así me ha sido posible salir con este secreto como si de industria procurara decillo a todo el mundo. Y pues que, en efecto, él ha de salir a plaza, quiero que sea en la del archivo de tu secreto, confiado que, con él y con la diligencia que pondrás, como mi amigo verdadero, en remediarme, yo me veré presto libre de la angustia que me causa, y llegara mi alegría, por tu solicitud, al grado que ha llegado mi descontento, por mi locura.
+Suspenso tenían a Lotario las razones de Anselmo, y no sabia en qué había de parar tan larga prevención o preámbulo; y aunque iba revolviendo en su imaginación qué deseo podría ser aquel que a su amigo tanto fatigaba, dio siempre muy lejos del blanco de la verdad; y, por salir presto de la agonía que le causaba
+aquella suspensión, le dijo que hacía notorio agravio a su mucha amistad en andar buscando rodeos para decirles sus mas encubiertos pensamientos, pues tenía cierto que se podía prometer dél, o ya consejos para entretenellos, o ya remedio para cumplíllos.
+-Así es la verdad -respondió Anselmo-, y con esa confianza te hago saber, amigo Lotario, que el deseo que me fatiga es pensar si Camila, mi esposa, es tan buena y tan perfecta como yo pienso, y no puedo enterarme en esta verdad, si no es probándola de manera que la prueba manifieste los quilates de su bondad, como el fuego muestra los del oro. Porque yo tengo para mi, ¡oh amigo!, que no es una mujer más buena de cuanto es o no es solicitada, y que aquella sola es fuerte que no se dobla a las promesas, a las dádivas, a las lágrimas y a las continuas importunidades de los solícitos amantes. Porque ¿qué hay que agradecer -decía él- que una mujer sea buena, si nadie le dice que sea mala? ¿Qué mucho que esté recogida y temerosa la que no le dan ocasión para que se suelte, y la que sabe que tiene marido que, en cogiéndola en la primera desenvoltura, la ha de quitar la vida? Ansí que la que es buena por temor, o por falta de lugar, yo no la quiero tener en aquella estima en que tendré a la solicitada y perseguida, que salió con la corona del vencimiento; de modo que por estas razones, y por otras muchas que te pudiera decir para acreditar y fortalecer la opinión que tengo, deseo que Camila, mi esposa, pase por estas dificultades, y se acrisole y quilate en el fuego de verse requerida y solicitada, y de quien tenga valor para poner en ella sus deseos; y si ella sale, como creo que saldrá, con la palma desta batalla, tendré yo por sin igual mi ventura; podré yo decir que está colmo el vacío de mis deseos; diré que me cupo en suerte la mujer fuerte, de quien el Sabio dice que ¿quién la hallará? Y cuando esto suceda al revés de lo que pienso. con el gusto de ver que acerté en mi opinión, llevaré sin pena la que de razón podrá causarme mi tan costosa experiencia; y prosupuesto que ninguna cosa de cuantas me dijeres en contra de mi deseo ha de ser de algún provecho para dejar de ponerle por la obra, quiero, ¡oh amigo Lotario!, que te dispongas a ser el instrumento que labre aquesta obra de mi gusto; que yo te daré lugar para que lo hagas, sin faltarte todo aquello que yo viere ser necesario para solicitar a una mujer honesta, honrada, recogida y desinteresada. Y muéveme, entre otras cosas, a fiar de ti esta tan ardua empresa el ver que si de ti es vencida Camila, no ha de llegar el vencimiento a todo trance y rigor, sino a sólo tener por hecho lo que se ha de hacer, por buen respeto, y así, no quedaré yo ofendido mas de con el deseo, y mi injuria quedará escondida en la virtud de tu silencio, que bien sé que en lo que me tocare ha de ser eterno como el de la muerte. Así que, si quieres que yo tenga vida que pueda decir que lo es, desde luego has de entrar en esta amorosa batalla, no tibia ni perezosamente, sino con el ahínco y diligencia que mi deseo pide, y con la confianza que nuestra amistad me asegura.
+Estas fueron las razones que Anselmo dijo a Lotario, a todas las cuales estuvo tan atento, que si no fueron las que quedan escritas que le dijo, no desplegó sus labios hasta que hubo acabado; y viendo que no decía más, después que le estuvo mirando un buen espacio, como si mirara otra cosa que jamás hubiera visto, que le causara admiración y espanto, le dijo:
+-No me puedo persuadir, ¡oh amigo Anselmo!, a que no sean burlas las cosas que me has dicho; que a pensar que de veras las decías, no consintiera que tan adelante pasaras, porque con no escucharte previniera tu larga arenga. Sin duda imagino, o que no me conoces, o que yo no te conozco. Pero no; que bien sé que eres Anselmo, y tú sabes que yo soy Lotario; el daño está en que yo pienso que no eres el Anselmo que solías, y tú debes de haber pensado que tampoco yo soy el Lotario que debía ser, porque las cosas que me has dicho, ni son de aquel Anselmo mi amigo, ni las que me pides se han de pedir a aquel Lotario que tú conoces; porque los buenos amigos han de probar a sus amigos y valerse dellos, como dijo
+un poeta, usque ad aras que quiso decir que no se habían de valer de su amistad en cosas que fuesen contra Dios. Pues si esto sintió un gentil de la amistad, ¿cuánto mejor es que lo sienta el cristiano, que sabe que por ninguna humana ha de perder la amistad divina? Y cuando el amigo tirase tanto la barra, que pusiese aparte los respetos del cielo por acudir a los de su amigo, no ha de ser por cosas ligeras y de poco momento, sino por aquellas en que vaya la honra y la vida de su amigo. Pues dime tú ahora, Anselmo: ¿cuál destas dos cosas tienes en peligro, para que yo me aventure a complacerte y a hacer una cosa tan detestable como me pides? Ninguna, por cierto; antes me pides, según yo entiendo, que procure y solicite quitarte la honra y la vida, y quitármela a mi juntamente. Porque si yo he de procurar quitarte la honra, claro está que te quito la vida, pues el hombre sin honra peor es que un muerto; y siendo yo el instrumento, como tú quieres que lo sea, de tanto mal tuyo, ¿no vengo a quedar deshonrado, y, por el mesmo consiguiente, sin vida? Escucha, amigo Anselmo, y ten paciencia de no responderme hasta que acabe de decide lo que se me ofreciere acerca de lo que te ha pedido tu deseo; que tiempo quedará para que tú me repliques y yo te escuche.
+-Que me place -dijo Anselmo-; di lo que quisieres. Y Lotario prosiguió diciendo:
+-Paréceme, ¡oh Anselmo!, que tienes tú ahora el ingenio como el que siempre tienen los moros, a los cuales no se les puede dar a entender el error de su secta con las acotaciones de la santa Escritura, ni con razones que consistan en especulación del entendimiento, ni que vayan fundadas en artículos de fe, sino que se les han de traer ejemplos palpables, fáciles, inteligibles, demostrativos, indubitables, con demostraciones matemáticas que no se pueden negar, como cuando dicen: «Si de dos partes iguales quitamos partes iguales, las que quedan también son iguales»; y cuando esto no entiendan de palabra, como, en efeto, no lo entienden, háseles de mostrar con las manos, y ponérselo delante de los ojos, y, aun con todo esto, no basta nadie con ellos a persuadirles las verdades de mi sacra religión. Y este mesmo término y modo me convendrá usar contigo, porque el deseo que en ti ha nacido va tan descaminado y tan fuera de todo aquello que tenga sombra de razonable, que me parece que ha de ser tiempo gastado el que ocupare en darte a entender tu simplicidad, que por ahora no le quiero dar otro nombre, y aun estoy por dejarte en tu desatino, en pena de tu mal deseo; mas no me deja usar deste rigor la amistad que te tengo, la cual no consiente que te deje puesto en tan manifiesto peligro de perderte. Y porque claro lo veas, dime, Anselmo: ¿tu no me has dicho que tengo de solicitar a una retirada, persuadir a una honesta, ofrecer a una desinteresada, servir a una prudente? Si, que me lo has dicho. Pues si tú sabes que tienes mujer retirada, honesta, desinteresada y prudente, ¿qué buscas? Y si piensas que de todos mis asaltos ha de salir vencedora, como saldrá, sin duda, ¿qué mejores títulos piensas darle después que los que ahora tiene, o qué será más después de lo que es ahora? O es que tú no la tienes por la que dices, o tú no sabes lo que pides. Si no la tienes por la que dices, ¿para qué quieres probarla, sino, como a mala, hacer della lo que más te viniere en gusto? Mas si es tan buena como crees, impertinente cosa será hacer experiencia de la mesma verdad, pues, después de hecha, se ha de quedar con la estimación que primero tenía. Así que es razón concluyente que el intentar las cosas de las cuales antes nos puede suceder daño que provecho es de juicios sin discurso y temerarios, y más cuando quieren intentar aquellas a que no son forzados ni compelidos, y que de muy lejos traen descubierto que el intentarías es manifiesta locura. Las cosas dificultosas se intentan por Dios, o por el mundo, o por entrambos a dos: las que se acometen por Dios son las que acometieron los santos, acometiendo a vivir vida de ángeles en cuerpos humanos; las que se acometen por respeto del mundo son las de aquellos que pasan tanta infinidad de agua, tanta diversidad de climas, tanta extrañeza de gentes, por adquirir estos que llaman
+bienes de fortuna; y las que se intentan por Dios y por el mundo juntamente son aquellas de los valerosos soldados, que apenas veen en el contrario muro abierto tanto espacio cuanto es el que pudo hacer una redonda bala de artillería, cuando, puesto aparte todo temor, sin hacer discurso ni advertir al manifiesto peligro que les amenaza, llevados en vuelo de las alas del deseo de volver por su fe, por su nación y por su rey, se arrojan intrépidamente por la mitad de mil contrapuestas muertas que los esperan. Estas cosas son las que suelen intentarse, y es honra, gloria y provecho intentarías, aunque tan llenas de inconvenientes y peligros; pero la que tú dices que quieres intentar y poner por obra, ni te ha de alcanzar gloria de Dios, bienes de la fortuna, ni fama con los hombres; porque, puesto que salgas con ella como deseas, no has de quedar ni más ufano, ni mas rico, ni más honrado que estás ahora; y si no sales, te has de ver en la mayor miseria que imaginarse pueda, porque no te ha de aprovechar pensar entonces que no sabe nadie la desgracia que te ha sucedido; porque bastará para afligirte y deshacerte que la sepas tú mesmo. Y para confirmación desta verdad, te quiero decir una estancia que hizo el famoso poeta Luis Tansilo, en el fin de su primera parte de Las lágrimas de San Pedro, que dice así:
+Crece el dolor y crece la vergüenza
+en Pedro, cuando el día se ha mostrado,
+y aunque allí no ve a nadie, se avergüenza
+de sí mesmo, por ver que había pecado:
+que a un magnánimo pecho a haber vergüenza no sólo ha de moverle el ser mirado;
+que de sí se avergüenza cuando yerra,
+si bien otro no vee que cielo y tierra.
+Así que no excusarás con el secreto tu dolor, antes tendrás que llorar contino, si no lágrimas de los ojos, lágrimas de sangre del corazón, como las lloraba aquel simple doctor que nuestro poeta nos cuenta que hizo la prueba del vaso, que, con mejor discurso, se excusó de hacerla el prudente Reinaldos; que puesto que aquello sea ficción poética, tiene en sí encerrados secretos morales dignos de ser advertidos, y entendidos, e imitados. Cuanto mas que con lo que ahora pienso decirte acabarás de venir en conocimiento del gran error que quieres cometer.
+Dime, Anselmo, si el cielo, o la suerte buena, te hubiera hecho señor y legítimo posesor de un finísimo diamante, de cuya bondad y quilates estuviesen satisfechos cuantos lapidarios le viesen, y que todos a una voz y de común parecer dijesen que llegaba en quilates, bondad y fineza a cuanto se podía extender la naturaleza de tal piedra, y tú mesmo lo creyeses así, sin saber otra cosa en contrario, ¿sería justo que te viniese en deseo de tomar aquel diamante, y ponerle entre un yunque y un martillo, y allí, a pura fuerza de golpes y brazos, probar si es tan duro y tan fino como dicen? Y más, si lo pusieses por obra; que, puesto caso que la piedra hiciese resistencia a tan necia prueba, no por eso se le añadiría más valor ni más fama; y si se rompiese, cosa que podría ser, ¿no se perdía todo? Sí, por cierto, dejando a su dueño en estimación de que todos le tengan por simple. Pues haz cuenta, Anselmo, que Camila es finísimo diamante, así en tu estimación como en la ajena, y que no es razón ponerla en contingencia de que se quiebre, pues aunque se quede con su entereza, no puede subir a más valor del que ahora tiene; y si faltase y no
+resistiese, considera desde ahora cual quedaría sin ella, y con cuánta razón te podrías quejar de ti mesmo, por haber sido causa de su perdición y la tuya. Mira que no hay joya en el mundo que tanto valga como la mujer casta y honrada, y que todo el honor de las mujeres consiste en la opinión buena que dellas se tiene; y pues la de tu esposa es tal, que llega al extremo de bondad que sabes, ¿para qué quieres poner esta verdad en duda? Mira, amigo, que la mujer es animal imperfecto, y que no se le han de poner embarazos donde tropiece y caiga, sino quitárselos y despejalle el camino de cualquier inconveniente, para que sin pesadumbre corra ligera a alcanzar la perfección que le falta, que consiste en el ser virtuosa.
+Cuentan los naturales que el arminio es un animalejo que tiene una piel blanquísima, y que cuando quieren cazarle los cazadores, usan deste artificio: que, sabiendo las partes por donde suele pasar y acudir, las atajan con lodo, y después, ojeándole, le encaminan hacía aquel lugar, y así como el arminio llega al lodo, se está quedo y se deja prender y cautivar, a trueco de no pasar por el cieno y perder y ensuciar su blancura, que la estima en más que la libertad y la vida. La honesta y casta mujer es arminio, y es más que nieve blanca y limpia la virtud de la honestidad; y el que quisiere que no la pierda, antes la guarde y conserve, ha de usar de otro estilo diferente que con el arminio se tiene, porque no le han de poner delante el cieno de los regalos y servicios de los importunos amantes, porque quizá, y aun sin quizá, no tiene tanta virtud y fuerza natural que pueda por sí mesma atropellar y pasar por aquellos embarazos; y es necesario quitárselos y ponerle delante la limpieza de la virtud y la belleza que encierra en sí la buena fama. Es asimesmo la buena mujer como espejo de cristal luciente y claro; pero está sujeto a empañarse y escurecerse con cualquiera aliento que le toque. Hase de usar con la honesta mujer el estilo que con las reliquias adorarías, y no tocarlas. Hase de guardar y estimar la mujer buena como se guarda y estima un hermoso jardín que está lleno de flores y rosas, cuyo dueño no consiente que nadie le pasee ni manosee; basta que desde lejos y por entre las verjas de hierro gocen de su fragancia y hermosura. Finalmente, quiero decirte unos versos que se me han venido a la memoria, que los oí en una comedia moderna, que me parece que hacen al propósito de lo que vamos tratando. Aconsejaba un prudente viejo a otro, padre de una doncella, que la recogiese, guardase y encerrase, y entre otras razones, le dijo éstas:
+Es de vidrio la mujer,
+pero no se ha de probar
+si se puede o no quebrar, porque todo podría ser.
+Y es más fácil el quebrarse, y no es cordura ponerse
+a peligro de romperse
+lo que no puede soldarse. Y en esta opinión estén todos, y en razón la fundo;
+que si hay Dánaes en el mundo, hay pluvias de oro también.
+Cuando hasta aquí te he dicho, ¡oh Anselmo!, ha sido por lo que a ti te toca, y ahora es bien que se oiga algo de lo que a mí me conviene; y si hiere largo, perdóname; que todo lo requiere el laberinto donde te has entrado y de donde quieres que yo te saque.
+Tú me tienes por amigo, y quieres quitarme la honra. cosa que es contra toda amistad; y aun no sólo pretendes esto, sino que procuras que yo te la quite a ti. Que me la quieres quitar a mí está claro, pues cuando Camila vea que yo la solicito, como me pides, cierto está que me ha de tener por hombre sin honra y mal mirado, pues intento y hago una cosa tan fuera de aquello que el ser quien soy y tu amistad me obliga. De que quieres que te la quite a ti no hay duda, porque viendo Camila que yo la solicito, ha de pensar que yo he visto en ella alguna liviandad que me dio atrevimiento a descubrirle mi mal deseo, y teniéndose por deshonrada, te toca a ti, como a cosa suya, su mesma deshonra. Y de aquí nace lo que comúnmente se platica que el marido de la mujer adúltera, puesto que él no lo sepa, ni haya dado ocasión para que su mujer no sea la que debe, ni haya sido en su mano, ni en su descuido y poco recato, estorbar su desgracia, con todo, le llaman y le nombran con nombre de vituperio y bajo, y en cierta manera le miran los que la maldad de su mujer saben con ojos de menosprecio, en cambio de mirarle con los de lástima, viendo que no por su culpa, sino por el gusto de su mala compañera, está en aquella desventura. Pero quiérote decir la causa por que con justa razón es deshonrado el marido de la mujer mala, aunque él no sepa que lo es, ni tenga culpa, ni haya sido parte, ni dado ocasión, para que ella lo sea. Y no te canses de oírme; que todo ha de redundar en tu provecho.
+Cuando Dios crió a nuestro primero padre en el Paraíso terrenal, dice la divina Escritura que infundió Dios sueño en Adán, y que, estando durmiendo, le sacó una costilla del lado siniestro, de la cual formó a nuestra madre Eva; y así como Adán despertó y la miró, dijo: Esta es carne de mi carne y hueso de mis huesos. Y Dios dijo: Por ésta dejará el hombre a su padre y madre, y serán dos en una carne misma; y entonces fue instituido el divino sacramento del matrimonio, con tales lazos, que sola la muerte puede desatarlos. Y tiene tanta fuerza y virtud este milagroso sacramento, que hace que dos diferentes personas sean una mesma carne; y aún hace más en los buenos casados: que, aunque tienen dos almas, no tienen más de una voluntad. Y de aquí viene que, como la carne de la esposa sea una mesma con la del esposo, las manchas que en ella caen, o los defectos que se procura, redundan en la carne del marido, aunque él no haya dado, como queda dicho, ocasión para aquel daño. Porque así como el dolor del pie o de cualquier miembro del cuerno humano le siente todo el cuerno, por ser todo de una carne mesma, y la cabeza siente el daño del tobillo, sin que ella se le haya causado, así el marido es participante de la deshonra de la mujer, por ser una mesma cosa con ella; y como las honras y deshonras del mundo sean todas y nazcan de carne y sangre, y las de la mujer mala sean deste género, es forzoso que al marido le quepa parte dellas, y sea tenido por deshonrado sin que él lo sepa. Mira, pues, ¡oh Anselmo!, al peligro que te pones en querer turbar el sosiego en que tu buena esposa vive; mira por cuán vana e impertinente curiosidad quieres revolver los humores que ahora están sosegados en el pecho de tu casta esposa; advierte que lo que aventuras a ganar es poco, y que lo que perderás será tanto, que lo dejaré en su punto, porque me faltan palabras para encarecerlo. Pero si todo cuanto he dicho no basta a moverte de tu mal propósito, bien puedes buscar otro instrumento de tu deshonra y desventura; que yo no pienso serlo, aunque por ello pierda tu amistad, que es la mayor pérdida que imaginar puedo.
+Calló en diciendo esto el virtuoso y prudente Lotario, y Anselmo quedó tan confuso y pensativo, que por un buen espacio no le pudo responder palabra; pero, en fin, le dijo:
+-Con la atención que has visto he escuchado, Lotario amigo, cuanto has querido decirme, y en tus razones, ejemplos y comparaciones he visto la mucha discreción que tienes y el extremo de la verdadera amistad que alcanzas; y ansimesmo veo y confieso que si no sigo tu parecer y me voy tras el mío, voy huyendo del bien y corriendo tras el mal. Prosupuesto esto, has de considerar que yo padezco ahora la enfermedad que suelen tener algunas mujeres, que se les antoja comer tierra, yeso, carbón y otras cosas peores, aun asquerosas para mirarse, cuanto más para comerse; así que es menester usar de algún artificio para que yo sane, y esto se podía hacer con facilidad, sólo con que comiences, aunque tibia y fingidamente, a solicitar a Camila, la cual no ha de ser tan tierna, que a los primeros encuentros dé con su honestidad por tierra; y con sólo este principio quedaré contento, y tú habrás cumplido con lo que debes a nuestra amistad, no solamente dándome la vida, sino persuadiéndome de no yerme sin honra. Y estás obligado a hacer esto por una razón sola; y es que, estando yo, como estoy, determinado de poner en plática esta prueba, no has tú de consentir que yo dé cuenta de mi desatino a otra persona, con que pondría en aventura el honor que tú procuras que no pierda; y cuando el tuyo no esté en el punto que debe en la intención de Camila en tanto que la solicitares, importa poco o nada, pues con brevedad, viendo en ella la entereza que esperamos, le podrás decir la pura verdad de nuestro artificio, con que volverá tu crédito al ser primero. Y pues tan poco aventuras y tanto contento me puedes dar aventurándote, no lo dejes de hacer, aunque más inconvenientes se te pongan delante, pues, como ya he dicho, con sólo que comiences daré por concluida la causa.
+Viendo Lotario la resoluta voluntad de Anselmo, y no sabiendo qué más ejemplos traerle ni mas razones mostrarle para que no la siguiese, y viendo que le amenazaba que daría a otro cuenta de su mal deseo, por evitar mayor mal, determinó de contentarle y hacer lo que le pedía, con propósito e intención de guiar aquel negocio de modo, que, sin alterar los pensamientos de Camila, quedase Anselmo satisfecho; y así, le respondió que no comunicase su pensamiento con otro alguno; que él tomaba a su cargo aquella empresa, la cual comenzaría cuando a él le diese más gusto. Abrazóle Anselmo tierna y amorosamente y agradecióle su ofrecimiento, como si alguna grande merced le hubiera hecho; y quedaron de acuerdo entre los dos que desde otro día siguiente se comenzase la obra; que él le daría lugar y tiempo como a sus solas pudiese hablar a Camila, y asimesmo le daría dineros y joyas que darla y que ofrecerla. Aconsejóle que le diese músicas, que escribiese versos en su alabanza; y que, cuando él no quisiese tomar trabajo de hacerlos, él mesmo los haría. A todo se ofreció Lotario, bien con diferente intención que Anselmo pensaba, y con este acuerdo se volvieron a casa de Anselmo, donde hallaron a Camila, con ansia y cuidado, esperando a su esposo, porque aquel día tardaba en venir más de lo acostumbrado.
+Fuese Lotario a su casa, y Anselmo quedó en la suya, tan contento como Lotario fue pensativo, no sabiendo qué traza dar para salir bien de aquel impertinente negocio; pero aquella noche pensó el modo que tendría para engañar a Anselmo sin ofender a Camila, y otro día vino a comer con su amigo, y fue bien recebido de Camila, la cual le recebía y regalaba con mucha voluntad, por entender la buena que su esposo le tenía.
+Acabaron de comer, levantaron los manteles, y Anselmo dijo a Lotario que se quedase allí con Camila en tanto que él iba a un negocio forzoso; que dentro de hora y media volvería. Rogóle Camila que no se fuese, y Lotario se ofreció a hacerle compañía; mas nada aprovechó con Anselmo; antes importunó a Lotario que se
+quedase y le aguardase, porque tenía que tratar con él una cosa de mucha importancia. Dijo también a Camila que no dejase solo a Lotario, en tanto que él volviese. En efeto, él supo tan bien fingir la necesidad o necedad de su ausencia, que nadie pudiera entender que era fingida.
+Fuese Anselmo, y quedaron solos a la mesa Camila y Lotario, porque la demás gente de casa toda se había ido a comer. Viose Lotario puesto en la estacada que su amigo deseaba, y con el enemigo delante, que pudiera vencer con sola su hermosura a un escuadrón de caballeros armados: mirad si era razón que le temiera Lotario. Pero lo que hizo fue poner el codo sobre el brazo de la silla, y la mano abierta en la mejilla, y pidiendo perdón a Camila del mal comedimiento, dijo que quería reposar un poco en tanto que Anselmo volvía. Camila le respondió que mejor reposaría en el estrado que en la silla, y así, le rogó se entrase a dormir en él. No quiso Lotario, y allí se quedó dormido hasta que volvió Anselmo, el cual, como halló a Camila en su aposento y a Lotario durmiendo, creyó que, como se había tardado tanto, ya habrían tenido los dos lugar para hablar, y aun para dormir, y no vio la hora en que Lotario despertase, para volverse con él fuera y preguntarle de su ventura.
+Todo le sucedió como él quiso. Lotario despertó, y luego salieron los dos de casa, y así, le preguntó lo que deseaba, y le respondió Lotario que no le había parecido ser bien que la primera vez se descubriese del todo, y así no había hecho otra cosa que alabar a Camila de hermosa, diciéndole que en toda la ciudad no se trataba de otra cosa que de su hermosura y discreción, y que éste le había parecido buen principio para entrar ganando la voluntad, y disponiéndola a que otra vez le escuchase con gusto, usando en esto del artificio que el demonio usa cuando quiere engañar a alguno que está puesto en atalaya de mirar por si: que se transforma en ángel de luz, siéndolo él de tinieblas, y, poniéndole delante apariencias buenas, al cabo descubre quién es y sale con su intención, si a los principios no es descubierto su engaño. Todo esto le contentó mucho a Anselmo, y dijo que cada día daría el mesmo lugar, aunque no saliese de casa, porque en ella se ocuparía en cosas que Camila no pudiese venir en conocimiento de su artificio.
+Sucedió, pues, que se pasaron muchos días que sin decir Lotario palabra a Camila, respondió a Anselmo que la hablaba y jamás podía sacar della una pequeña muestra de venir en ninguna cosa que mala fuese, ni aun dar una señal de sombra de esperanza; antes decía que le amenazaba que si de aquel mal pensamiento no se quitaba, que lo había de decir a su esposo.
+-Bien está -dijo Anselmo-. Hasta aquí ha resistido Camila a las palabras; es menester ver cómo resiste a las obras; yo os daré mañana dos mil escudos de oro para que se los ofrezcáis, y aun se los deis, y otros tantos para que compréis joyas con que cebarla; que las mujeres suelen ser aficionadas, y más si son hermosas, por más castas que sean, a esto de traerse bien y andar galanas; y si ella resiste a esta tentación, yo quedaré satisfecho y no os daré mas pesadumbre.
+Lotario respondió que ya que había comenzado, que él llevaría hasta el fin aquella empresa, puesto que entendía salir della cansado y vencido. Otro día recibió los cuatro mil escudos, y con ellos cuatro mil confusiones, porque no sabía qué decirse para mentir de nuevo; pero, en efeto, determinó de decirle que Camila estaba tan entera a las dádivas y promesas como a las palabras, y que no había para qué cansarse más, porque todo el tiempo se gastaba en balde.
+Pero la suerte, que las cosas guiaba de otra manera, ordenó que, habiendo dejado Anselmo solos a Lotario y a Camila, como otras veces solía, él se encerró en un aposento y por los agujeros de la cerradura estuvo mirando y escuchando lo que
+los dos trataban, y vio que en más de media hora Lotario no habló palabra a Camila, ni se la hablara si allí estuviera un siglo, y cayó en la cuenta de que cuanto su amigo le había dicho de las respuestas de Camila todo era ficción y mentira. Y para ver si esto era ansí, salió del aposento, y llamando a Lotario aparte, le preguntó qué nuevas había y de qué temple estaba Camila. Lotario le respondió que no pensaba más darle puntada en aquel negocio, porque respondía tan áspera y desabridamente, que no tendría ánimo para volver a decirle cosa alguna.
+-¡Ah -dijo Anselmo-, Lotario, Lotario, y cuán mal correspondes a lo que me debes y a lo mucho que de ti confío! Ahora te he estado mirando por el lugar que concede la entrada desta llave, y he visto que no has dicho palabra a Camila; por donde me doy a entender que aun las primeras le tienes por decir; y si esto es así, como sin duda lo es, ¿para qué me engañas, o por qué quieres quitarme con tu industria los medios que yo podría hallar para conseguir mi deseo?
+No dijo más Anselmo, pero bastó lo que había dicho para dejar corrido y confuso a Lotario; el cual, casi como tomando por punto de honra el haber sido hallado en mentira, juró a Anselmo que desde aquel momento tomaba tan a su cargo el contentalle y no mentille, cual lo vería si con curiosidad lo espiaba; cuanto más que no sería menester usar de ninguna diligencia, porque la que él pensaba poner en satisfacelle le quitaría de toda sospecha. Creyóle Anselmo, y para dalle comodidad más segura y menos sobresaltada, determinó de hacer ausencia de su casa por ocho días, yéndose a la de un amigo suyo, que estaba en una aldea, no lejos de la ciudad; con el cual amigo concertó que le enviase a llamar con muchas veras, para tener ocasión con Camila de su partida.
+¡Desdichado y mal advertido de ti, Anselmo! ¿Qué es lo que haces? ¿Qué es lo que trazas? ¿Qué es lo que ordenas? Mira que haces contra ti mismo, trazando tu deshonra y ordenando tu perdición. Buena es tu esposa Camila; quieta y sosegadamente la posees; nadie sobresalta tu gusto; sus pensamientos no salen de las paredes de su casa; tú eres su cielo en la tierra, el blanco de sus deseos, el cumplimiento de sus gustos y la medida por donde mide su voluntad, ajustándola en todo con la tuya y con la del cielo. Pues si la mina de su honor, hermosura, honestidad y recogimiento te da sin ningún trabajo toda la riqueza que tiene y tú puedes desear, ¿para qué quieres ahondar la tierra, y buscar nuevas vetas de nuevo y nunca visto tesoro, poniéndote a peligro que toda venga abajo, pues, en fin, se sustenta sobre los débiles arrimos de su flaca naturaleza? Mira que el que busca lo imposible, es justo que lo posible se le niegue, como lo dijo mejor un poeta, diciendo:
+Busco en la muerte la vida, salud en la enfermedad,
+en la prisión libertad,
+en lo cerrado salida
+y en el traidor lealtad. Pero mi suerte, de quien jamás espero algún bien, con el cielo ha estatuido
+que, pues lo imposible pido, lo posible aun no me den.
+Fuese otro día Anselmo a la aldea, dejando dicho a Camila que el tiempo que él estuviese ausente vendría Lotario a mirar por su casa y a comer con ella; que tuviese cuidado de tratalle como a su mesma persona. Afligióse Camila, como mujer discreta y honrada, de la orden que su marido le dejaba, y díjole que advirtiese que no estaba tan bien que nadie, él ausente, ocupase la silla de su mesa; y que si lo hacia por no tener confianza que ella sabría gobernar su casa, que probase por aquella vez, y vería por experiencia cómo para mayores cuidados era bastante. Anselmo le replicó que aquél era su gusto, y que no tenía mas que hacer que bajar la cabeza y obedecelle. Camila dijo que ansí lo haría, aunque contra su voluntad.
+Partióse Anselmo, y otro día vino a su casa Lotario, donde fue recebido de Camila con amoroso y honesto acogimiento; la cual jamás se puso en parte donde Lotario la viese a solas, porque siempre andaba rodeada de sus criados y criadas, especialmente de una doncella suya llamada Leonela, a quien ella mucho quería, por haberse criado desde niñas las dos juntas en casa de los padres de Camila, y cuando se casó con Anselmo la trujo consigo. En los tres días primeros nunca Lotario le dijo nada, aunque pudiera, cuando se levantaban los manteles y la gente se iba a comer con mucha priesa, porque así se lo tenía mandado Camila; y aun tenía orden Leonela que comiese primero que Camila, y que de su lado jamás se quitase; mas ella, que en otras cosas de su gusto tenía puesto el pensamiento y había menester aquellas horas y aquel lugar para ocuparle en sus contentos, no cumplía todas las veces el mandamiento de su señora; antes los dejaba solos, como si aquello le hubieran mandado. Mas la honesta presencia de Camila, la gravedad de su rostro, la compostura de su persona era tanta, que ponía freno a la lengua de Lotario.
+Pero el provecho que las muchas virtudes de Camila hicieron poniendo silencio en la lengua de Lotario, redundó más en daño de los dos, porque si la lengua callaba, el pensamiento discurría y tenía lugar de contemplar, parte por parte, todos los extremos de bondad y de hermosura que Camila tenía, bastantes a enamorar una estatua de mármol, no que un corazón de carne.
+Mirábala Lotario con el lugar y espacio que había de hablarla, y consideraba cuán digna era de ser amada; y esta consideración comenzó poco a poco a dar asaltos a los respetos que a Anselmo tenía, y mil veces quiso ausentarse de la ciudad, y irse donde jamás Anselmo le viese a él, ni él viese a Camila; mas ya le hacia impedimento y detenía el gusto que hallaba en mirarla. Hacíase fuerza y peleaba consigo mismo por desechar y no sentir el contento que le llevaba a mirar a Camila; culpábase a solas de su desatino; llamábase mal amigo, y aun mal cristiano; hacia discursos y comparaciones entre él y Anselmo, y todos paraban en decir que más había sido la locura y confianza de Anselmo que su poca fidelidad, y que si así tuviera disculpa para con Dios como para con los hombres de lo que pensaba hacer, que no temiera pena por su culpa.
+En efecto, la hermosura y la bondad de Camila, juntamente con la ocasión que el ignorante marido le había puesto en las manos, dieron con la lealtad de Lotario en tierra; y, sin mirar a otra cosa que aquella a que su gusto le inclinaba, al cabo de tres días de la ausencia de Anselmo, en los cuales estuvo en continua batalla por resistir a sus deseos, comenzó a requebrar a Camila, con tanta turbación y con tan amorosas razones, que Camila quedó suspensa, y no hizo otra cosa que levantarse de donde estaba y entrarse en su aposento, sin respondelle palabra alguna. Mas no
+por esta sequedad se desmayó en Lotario la esperanza, que siempre nace juntamente con el amor; antes tuvo en mas a Camila. La cual, habiendo visto en Lotario lo que jamás pensara, no sabia qué hacerse; y, pareciéndole no ser cosa segura ni bien hecha darle ocasión ni lugar a que otra vez la hablase, determinó de enviar aquella mesma noche, como lo hizo, a un criado suyo con un billete a Anselmo, donde le escribió estas razones:
+Capítulo 34: Donde se prosigue la novela del Curioso impertinente
+Así como suele decirse que parece mal el ejército sin su general y el castillo sin su castellano, digo yo que parece muy peor la mujer casada y moza sin su marido, cuando justísimas ocasiones no lo impiden. Yo me hallo tan mal sin vos, y tan imposibilitada de no poder sufrir esta ausencia, que si presto no venís, me habré de ir a entretener en casa de mis padres, aunque deje sin guarda la vuestra; porque la que me dejastes, si es que quedó con tal título, creo que mira más por su gusto que por lo que a vos os toca; y pues sois discreto, no tengo más que deciros, ni aun es bien que más os diga.
+Esta carta recibió Anselmo, y entendió por ella que Lotario había ya comenzado la empresa, y que Camila debía de haber correspondido como él deseaba; y, alegre sobremanera de tales nuevas, respondió a Camila, de palabra, que no hiciese mudamiento de su casa en modo ninguno, porque él volvería con mucha brevedad. Admirada quedó Camila de la respuesta de Anselmo, que la puso en más confusión que primero, porque ni se atrevía a estar en su casa, ni menos irse a la de sus padres; porque en la quedada, corría peligro su honestidad; y en la ida, iba contra el mandamiento de su esposo. En fin, se resolvió en lo que le estuvo peor, que fue en el quedarse, con determinación de no huir la presencia de Lotario, por no dar que decir a sus criados, y ya le pesaba de haber escrito lo que escribió a su esposo, temerosa de que no pensase que Lotario había visto en ella alguna desenvoltura que le hubiese movido a no guardalle el decoro que debía. Pero, fiada en su bondad, se fió en Dios y en su buen pensamiento, con que pensaba resistir callando a todo aquello que Lotario decirle quisiese, sin dar más cuenta a su marido, por no ponerle en alguna pendencia y trabajo; y aun andaba buscando manera como disculpar a Lotario con Anselmo, cuando le preguntase la ocasión que le había movido a escribirle aquel papel.
+Con estos pensamientos, más honrados que acertados ni provechosos, estuvo otro día escuchando a Lotario, el cual cargó la mano de manera que comenzó a titubear la firmeza de Camila, y su honestidad tuvo harto que hacer en acudir a los ojos, para que no diesen muestras de alguna amorosa compasión que las lágrimas y las razones de Lotario en su pecho habían despertado. Todo esto notaba Lotario, y todo le encendía. Finalmente, a él le pareció que era menester, en el espacio y lugar que daba la ausencia de Anselmo, apretar el cerco a aquella fortaleza, y así, acometió a su presunción con las alabanzas de su hermosura, porque no hay cosa que más presto rinda y allane las encastilladas torres de la vanidad de las hermosas que la mesma vanidad, puesta en las lenguas de la adulación. En efecto, él, con toda diligencia, minó la roca de su entereza, con tales pertrechos, que aunque Camila fuera toda de bronce, viniera al suelo. Lloró, rogó, ofreció, aduló, porfió y fingió Lotario con tantos sentimientos, con muestras de tantas veras, que dio al través con el recato de Camila y vino a triunfar de lo que menos se pensaba y mas deseaba.
+Rindióse Camila; Camila se rindió; pero ¿qué mucho, si la amistad de Lotario no quedó en pie? Ejemplo claro que nos muestra que sólo se vence la pasión amorosa
+con huilla, y que nadie se ha de poner a brazo con tan poderoso enemigo, porque es menester fuerzas divinas para vencer las suyas humanas. Sólo supo Leonela la flaqueza de su señora, porque no se la pudieron encubrir los dos malos amigos y nuevos amantes. No quiso Lotario decir a Camila la pretensión de Anselmo, ni que él le había dado lugar para llegar a aquel punto, porque no tuviese en menos su amor, y pensase que así, acaso y sin pensar, y no de propósito, la había solicitado.
+Volvió de allí a pocos días Anselmo a su casa, y no echó de ver lo que faltaba en ella, que era lo que en menos tenía y más estimaba. Fuese luego a ver a Lotario, y hallóle en su casa; abrazáronse los dos, y el uno preguntó por las nuevas de su vida, o de su muerte.
+-Las nuevas que te podré dar, ¡oh amigo Anselmo! -dijo Lotario-, son de que tienes una mujer que dignamente puede ser ejemplo y corona de todas las mujeres buenas. Las palabras que le he dicho se las ha llevado el aire; los ofrecimientos se han tenido en poco; las dádivas no se han admitido; de algunas lágrimas fingidas mías se ha hecho burla notable. En resolución, así como Camila es cifra de toda belleza, es archivo donde asiste la honestidad y vive el comedimiento y el recato, y todas las virtudes que pueden hacer loable y bien afortunada a una honrada mujer. Vuelve a tomar tus dineros, amigo, que aquí los tengo, sin haber tenido necesidad de tocar a ellos; que la entereza de Camila no se rinde a cosas tan bajas como son dádivas ni promesas. Conténtate, Anselmo, y no quieras hacer más pruebas de las hechas; y, pues a pie enjuto has pasado el mar de las dificultades y sospechas que de las mujeres suelen y pueden tenerse, no quieras entrar de nuevo en el profundo piélago de nuevos inconvenientes, ni quieras hacer experiencia con otro piloto de la bondad y fortaleza del navío que el cielo te dio en suerte para que en él pasases la mar deste mundo; sino haz cuenta que estás ya en seguro puerto, y aférrate con las áncoras de la buena consideración, y déjate estar hasta que te vengan a pedir la deuda que no hay hidalguía humana que de pagarla se excuse.
+Contentísimo quedó Anselmo de las razones de Lotario, y así se las creyó como si fueran dichas por algún oráculo; pero, con todo eso, le rogó que no dejase la empresa, aunque no fuese más de por curiosidad y entretenimiento; aunque no se aprovechase de allí adelante de tan ahincadas diligencias como hasta entonces; y que sólo quería que le escribiese algunos versos en su alabanza, debajo del nombre de Clori, porque él le daría a entender a Camila que andaba enamorado de una dama, a quien le había puesto aquel nombre, por poder celebrarla con el decoro que a su honestidad se le debía; y que, cuando Lotario no quisiera tomar trabajo de escribir los versos, que él los haría.
+-No será menester eso -dijo Lotario--; pues no me son tan enemigas las musas que algunos ratos del año me visiten. Dile tú a Camila lo que has dicho del fingimiento de mis amores; que los versos yo los haré, si no tan buenos como el sujeto merece, serán, por lo menos, los mejores que yo pudiere.
+Quedaron deste acuerdo el impertinente y el traidor amigo; y, vuelto Anselmo a su casa, preguntó a Camila lo que ella ya se maravillaba que no se lo hubiese preguntado, que fue que le dijese la ocasión por que le había escrito el papel que le envió. Camila le respondió que le había parecido que Lotario la miraba un poco más desenvueltamente que cuando él estaba en casa; pero que ya estaba desengañada y creía que había sido imaginación suya, porque ya Lotario huía de vella y de estar con ella a solas.
+Díjole Anselmo que bien podía estar segura de aquella sospecha, porque él sabía que Lotario andaba enamorado de una doncella principal de la ciudad, a quien él celebraba debajo del nombre de Clori, y que, aunque no lo estuviera, no había que
+temer de la verdad de Lotario y de la mucha amistad de entrambos. Y, a no estar avisada Camila de Lotario de que eran fingidos aquellos amores de Clori, y que él se lo había dicho a Anselmo por poder ocuparse algunos ratos en las mismas alabanzas de Camila, ella, sin duda, cayera en la desesperada red de los celos; mas por estar ya advertida, pasó aquel sobresalto sin pesadumbre.
+Otro día, estando los tres sobre mesa, rogó Anselmo a Lotario dijese alguna cosa de las que había compuesto a su amada Clori; que, pues Camila no la: conocía, seguramente podía decir lo que quisiese.
+-Aunque la conociera -respondió Lotario-, no encubriera yo nada; porque cuando algún amante loa a su dama de hermosa y la nota de cruel, ningún aprobio hace a su buen crédito; pero, sea lo que fuere, lo que sé decir, que ayer hice un soneto a la ingratitud desta Clori, que dice ansí:
+SONETO
+En el silencio de la noche, cuando
+ocupa el dulce sueño a los mortales,
+la pobre cuenta de mis ricos males
+estoy al cielo y a mi Clori dando.
+Y al tiempo cuando el sol se va mostrando por las rosadas puertas orientales,
+con suspiros y acentos desiguales
+voy la antigua querella renovando.
+Y cuando el sol, de su estrellado asiento derechos rayos a la tierra envía,
+el llanto crece y doblo los gemidos. Vuelve la noche, y vuelvo al triste cuento, y siempre hallo, en mi mortal porfía,
+al cielo, sordo; a Clori, sin oídos.
+Bien le pareció el soneto a Camila; pero mejor a Anselmo, pues le alabó, y dijo que era demasiadamente cruel la dama que a tan claras verdades no correspondía. A lo que dijo Camila:
+-Luego ¿todo aquello que los poetas enamorados dicen es verdad?
+-En cuanto poetas, no la dicen -respondió Lotario-; mas en cuanto enamorados, siempre quedan tan cortos como verdaderos.
+-No hay duda deso -replicó Anselmo, todo por apoyar y acreditar los pensamientos de Lotario con Camila, tan descuidada del artificio de Anselmo como ya enamorada de Lotario.
+Y así, con el gusto que de sus cosas tema, y más, teniendo por entendido que sus deseos y escritos a ella se encaminaban, y que ella era la verdadera Clori, le rogó que si otro soneto o otros versos sabía, los dijese.
+-Sí sé -respondió Lotario-; pero no creo que es tan bueno como el primero, o, por mejor decir, menos malo. Y podréislo bien juzgar, pues es éste:
+SONETO
+Yo sé que muero; y si no soy creído,
+es más cierto el morir, como es más cierto yerme a tus pies, ¡oh bella ingrata!, muerto, antes que de adorarte arrepentido.
+Podré yo yerme en la región de olvido,
+de vida y gloria y de favor desierto,
+y allí verse podrá en mi pecho abierto,
+cómo tu hermoso rostro está esculpido.
+Que esta reliquia guardo para el duro
+trance que me amenaza mi porfía,
+que en tu mismo rigor se fortalece.
+¡Ay de aquel que navega, el cielo escuro, por mar no usado y peligrosa vía,
+adonde norte o puerto no se ofrece!
+También alabó este segundo soneto Anselmo como había hecho el primero, y desta manera iba añadiendo eslabón a eslabón a la cadena con que se enlazaba y trababa su deshonra, pues cuando más Lotario le deshonraba, entonces le decía que estaba más honrado; y con esto, todos los escalones que Camila bajaba hacia el centro de su menosprecio, los subía, en la opinión de su marido, hacia la cumbre de la virtud y de su buena fama. Sucedió en esto que, hallándose una vez, entre otras, sola Camila con su doncella, le dijo:
+-Corrida estoy, amiga Leonela, de ver en cuán poco he sabido estimarme, pues siquiera no hice que con el tiempo comprara Lotario la entera posesión que le di tan presto de mi voluntad. Temo que ha de desestimar mi presteza o ligereza, sin que eche de ver la fuerza que él me hizo para no poder resistirle.
+-No te dé pena eso, señora mía -respondió Leonela-; que no está la monta ni es causa para menguar la estimación darse lo que se da presto, si, en efecto, lo que se da es bueno, y ello por sí digno de estimarse. Y aun suele decirse que el que luego da, da dos veces.
+-También se suele decir -dijo Camila- que lo que cuesta poco se estima en menos.
+-No corre por ti esa razón -respondió Leonela-, porque el amor, según he oído decir, unas veces vuela, y otras anda; con éste corre, y con aquél va despacio; a unos entibia, y a otros abrasa; a unos hiere, y a otros mata; en un mesmo punto comienza la carrera de sus deseos, y en aquel mesmo punto la acaba y concluye; por la mañana suele poner el cerco a una fortaleza, y a la noche la tiene rendida, porque no hay fuerza que le resista. Y siendo así, ¿de qué te espantas, o de qué temes, si lo mismo debe de haber acontecido a Lotario, habiendo tomado el amor por instrumento de rendirnos la ausencia de mi señor? Y era forzoso que en ella se concluyese lo que el amor tenía determinado, sin dar tiempo al tiempo para que Anselmo le tuviese de volver, y con su presencia quedase imperfecta la obra; porque el amor no tiene otro mejor ministro para ejecutar lo que desea que es la ocasión; de la ocasión se sirve en todos sus hechos, principalmente en los principios. Todo esto sé yo muy bien más de experiencia que de oídas, y algún día te lo diré, señora; que yo también soy de carne, y de sangre moza. Cuanto más, señora Camila, que no te entregaste ni diste tan luego, que primero no hubieses visto en los ojos, en los suspiros, en las razones y en las promesas y dádivas de Lotario toda su alma, viendo en ella y en sus virtudes cuán digno era Lotario de ser amado. Pues si esto es ansí, no te asalten la imaginación esos escrupulosos y melindrosos pensamientos; sino asegúrate que Lotario te estima como tú le estimas a él, y vive con contento y satisfacción de que ya que caíste en el lazo amoroso, es el que te aprieta de valor y de estima, y que no sólo tiene las cuatro eses que dicen que han de tener los buenos enamorados, sino todo un abecé entero: si no, escúchame, y verás como te le digo de coro. El es, según yo veo y a mi me parece, agradecido, bueno, caballero, dadivoso, enamorado, firme, gallardo, ilustre, leal, mozo, noble, onesto, principal, quantioso, rico, y las eses que dicen, y luego, tácito, verdadero. La X no le cuadra, porque es letra áspera; la Y ya está dicha; la Z, zelador de tu honra.
+Rióse Camila del abecé de su doncella, y túvola por más plática en las cosas de amor que ella decía; y así lo confesó ella, descubriendo a Camila cómo trataba amores con un mancebo bien nacido, de la mesma ciudad; de lo cual se turbó Camila, temiendo que era aquél camino por donde su honra podía correr riesgo. Apuróla si pasaban sus pláticas a más que serlo. Ella, con poca vergüenza y mucha desenvoltura, le respondió que sí pasaban. Porque es cosa ya cierta que los descuidos de las señoras quitan la vergüenza a las criadas, las cuales, cuando ven a las amas echar traspiés, no se les da nada a ellas de cojear, ni de que lo sepan.
+No pudo hacer otra cosa Camila sino rogar a Leonela no dijese nada de su hecho al que decía ser su amante, y que tratase sus cosas con secreto, porque no viniese a noticia de Anselmo ni de Lotario. Leonela respondió que así lo haría; mas cumpliólo de manera, que hizo cierto el temor de Camila de que por ella había de perder su crédito; porque la deshonesta y atrevida Leonela, después que vio que el proceder de su ama no era el que solía, atrevióse a entrar y poner dentro de casa a su amante, confiada que, aunque su señora le viese, no había de osar descubrille; que este daño acarrean, entre otros, los pecados de las señoras: que se hacen esclavas de sus mesmas criadas, y se obligan a encubrirles sus deshonestidades y vilezas, como aconteció con Camila; que aunque vio una y muchas veces que su Leonela estaba con su galán en un aposento de su casa, no sólo no la osaba reñir, mas dábale lugar a que lo encerrase, y quitabale todos los estorbos, para que no fuese visto de su marido.
+Pero no los pudo quitar, que Lotario no le viese una vez salir, al romper del alba; el cual, sin conocer quién era, pensó primero que debía de ser alguna fantasma; mas cuando le vio caminar. embozarse y encubrirse con cuidado y recato, cayó de su simple pensamiento, y dio en otro, que fuera la perdición de todos, si Camila no lo remediara. Pensó Lotario que aquel hombre que había visto salir tan a deshora de casa de Anselmo no había entrado en ella por Leonela, ni aun se acordó si Leonela era en el mundo: sólo creyó que Camila, de la misma manera que había sido fácil y ligera con él, lo era para otro; que estas añadiduras trae consigo la maldad de la mujer mala: que pierde el crédito de su honra con el mesmo a quien se entregó rogada y persuadida, y cree que con mayor facilidad se entrega a otros, y da infalible crédito a cualquier sospecha que desto le venga. Y no parece sino que le faltó a Lotario en este punto todo su buen entendimiento, y se le fueron de la memoria todos sus advertidos discursos; pues, sin hacer alguno que bueno fuese, ni aun razonable, sin más ni más, antes que Anselmo se levantase, impaciente y ciego de la celosa rabia que las entrañas le roía, muriendo por vengarse de Camila, que en ninguna cosa le había ofendido, se fue a Anselmo y le dijo:
+-Sábete, Anselmo, que ha muchos días que he andado peleando conmigo mesmo, haciéndome fuerza a no decirte lo que ya no es posible ni justo que más te encubra. Sábete que la fortaleza de Camila está ya rendida, y sujeta a todo aquello que yo quisiera hacer della; y si he tardado en descubrirte esta verdad, ha sido por ver si era algún liviano antojo suyo, o si lo hacia por probarme y ver si eran con propósito firme tratados los amores que, con tu licencia, con ella he comenzado. Creí ansimismo que ella, si fuera la que debía y la que entrambos pensábamos, ya te hubiera dado cuenta de mi solicitud; pero habiendo visto que se tarda, conozco que son verdaderas las promesas que me ha dado de que cuando otra vez hagas ausencia de tu casa, me hablará en la recámara donde está el repuesto de tus alhajas -y era verdad que allí le solía hablar Camila-; y no quiero que precipitadamente corras a hacer alguna venganza, pues no está aún cometido el pecado sino con pensamiento, y podría ser que desde éste hasta el tiempo de ponerle por obra se mudase el de Camila, y naciese en su lugar el arrepentimiento. Y así, ya que, en todo o en parte, has seguido siempre mis consejos, sigue y guarda uno que ahora te diré, para que sin engaño y con medroso advertimiento te satisfagas de aquello que más vieres que te convenga. Finge que te ausentas por dos o tres días, como otras veces sueles, y haz de manera que te quedes escondido en tu recámara, pues los tapices que allí hay y otras cosas con que te puedas encubrir te ofrecen mucha comodidad, y entonces verás por tus propios ojos, y yo por los míos, lo que Camila quiere; y si fuere la maldad que se puede temer antes que esperar, con silencio, sagacidad y discreción podrás ser el verdugo de tu agravio.
+Absorto, suspenso y admirado quedó Anselmo con las razones de Lotario, porque le cogieron en tiempo donde menos las esperaba oír, porque ya tenía a Camila por vencedora de los fingidos asaltos de Lotario, y comenzaba a gozar la gloria del vencimiento. Callando estuvo por un buen espacio, mirando al suelo sin mover pestaña, y al cabo dijo:
+-Tú lo has hecho, Lotario, como yo esperaba de tu amistad; en todo he de seguir tu consejo; haz lo que quisieres y guarda aquel secreto que ves que conviene en caso tan no pensado.
+Prometióselo Lotario, y, en apartándose dél, se arrepintió totalmente de cuanto le había dicho, viendo cuan neciamente había andado, pues pudiera él vengarse de Camila, y no por camino tan cruel y tan deshonrado. Maldecía su entendimiento, afeaba su ligera determinación, y no sabía qué medio tomarse para deshacer lo hecho, o para dalle alguna razonable salida. Al fin, acordó de dar cuenta de todo a
+Camila; y como no faltaba lugar para poderlo hacer, aquel mismo día la halló sola, y ella, así como vio que le podía hablar, le dijo:
+-Sabed, amigo Lotario, que tengo una pena en el corazón, que me le aprieta de suerte, que parece que quiere reventar en el pecho, y ha de ser maravilla si no lo hace; pues ha llegado la desvergüenza de Leonela a tanto, que cada noche encierra a un galán suyo en esta casa, y se está con él hasta el día, tan a costa de mi crédito, cuanto le quedará campo abierto de juzgarlo al que le viere salir a horas tan inusitadas de mi casa. Y lo que me fatiga es que no la puedo castigar ni reñir: que el ser ella secretario de nuestros tratos me ha puesto un freno en la boca para callar los suyos, y temo que de aquí ha de nacer algún mal suceso.
+Al principio que Camila esto decía creyó Lotario que era artificio para desmentille que el hombre que había visto salir era de Leonela, y no suyo; pero viéndola llorar, y afligirse, y pedirle remedio, vino a creer la verdad, y, en creyéndola, acabó de estar confuso y arrepentido del todo. Pero, con todo esto, respondió a Camila que no tuviese pena; que él ordenaría remedio para atajar la insolencia de Leonela. Díjole asimismo lo que, instigado de la furiosa rabia de los celos, había dicho a Anselmo, y cómo estaba concertado de esconderse en la recámara, para ver desde allí a la clara la poca lealtad que ella le guardaba. Pidióle perdón desta locura, y consejo para poder remedialla y salir bien de tan revuelto laberinto como su mal discurso le había puesto.
+Espantada quedó Camila de oír lo que Lotario le decía, y con mucho enojo y muchas y discretas razones le riñó y afeó su mal pensamiento y la simple y mala determinación que había tenido; pero, como naturalmente tiene la mujer ingenio presto para el bien y para el mal, más que el varón, puesto que le va faltando cuando de propósito se pone a hacer discursos, luego al instante halló Camila el modo de remediar tal, al parecer, inremediable negocio, y dijo a Lotario que procurase que otro día se escondiese Anselmo donde decía, porque ella pensaba sacar de su escondimiento comodidad para que desde allí en adelante los dos se gozasen sin sobresalto alguno; y, sin declararle del todo su pensamiento, le advirtió que tuviese cuidado que en estando Anselmo escondido, él viniese cuando Leonela le llamase, y que a cuanto ella le dijese le respondiese como respondiera aunque no supiera que Anselmo le escuchaba. Porfió Lotario que le acabase de declarar su intención, porque con más seguridad y aviso guardase todo lo que viese ser necesario.
+-Digo -dijo Camila- que no hay más que guardar, si no fuere responderme como yo os preguntare-, no queriendo Camila darle antes cuenta de lo que pensaba hacer, temerosa que no quisiese seguir el parecer que a ella tan bueno le parecía, y siguiese o buscase otros que no podrían ser tan buenos.
+Con esto, se fue Lotario; y Anselmo, otro día, con la excusa de ir a aquella aldea de su amigo, se partió, y volvió a esconderse; que lo pudo hacer con comodidad, porque de industria se la dieron Camila y Leonela.
+Escondido, pues, Anselmo, con aquel sobresalto que se puede imaginar que tendría el que esperaba ver por sus ojos hacer notomía de las entrañas de su honra, íbase a pique de perder el sumo bien que él pensaba que tenía en su querida Camila. Seguras ya y ciertas Camila y Leonela que Anselmo estaba escondido, entraron en la recámara; y, apenas hubo puesto los pies en ella Camila, cuando, dando un grande suspiro, dijo:
+-¡Ay, Leonela amiga! ¿No sería mejor que antes que llegase a poner en ejecución lo que no quiero que sepas, porque no procures estorbarlo, que tomases la daga de
+Anselmo, que te he pedido, y pasases con ella este infame pecho mío? Pero no hagas tal; que no será razón que yo lleve la pena de la ajena culpa. Primero quiero saber qué es lo que vieron en milos atrevidos y deshonestos ojos de Lotario que fuese causa de darle atrevimiento a descubrirme un tan mal deseo como es el que me ha descubierto, en desprecio de su amigo y en deshonra mía. Ponte, Leonela, a esa ventana y llámale; que, sin duda alguna, se debe de estar en la calle, esperando poner en efeto su mala intención. Pero primero se pondrá la cruel cuanto honrada mía.
+-¡Ay, señora mía! -respondió la sagaz y advertida Leonela-. Y ¿qué es lo que quieres hacer con esta daga? ¿Quieres por ventura quitarte la vida o quitársela a Lotario? Que cualquiera destas cosas que quieras ha de redundar en pérdida de tu crédito y fama. Mejor es que disimules tu agravio, y no des lugar a que este mal hombre entre ahora en esta casa y nos halle solas. Mira, señora, que somos flacas mujeres, y él es hombre, y determinado; y como viene con aquel mal propósito, ciego y apasionado, quizá antes que tú pongas en ejecución el tuyo hará él lo que te estaría más mal que quitarte la vida. ¡Mal haya mi señor Anselmo, que tanta mano ha querido dar a este desuellacaras en su casa! Y ya, señora, que le mates, como yo pienso que quieres hacer, ¿qué hemos de hacer dél después de muerto?
+-¿Qué amiga? -respondió Camila-. Dejarémosle para que Anselmo le entierre, pues será justo que tenga por descanso el trabajo que tomare en poner debajo de la tierra su misma infamia. Llámale, acaba; que todo el tiempo que tardo en tomar la debida venganza de mi agravio parece que ofendo a la lealtad que a mi esposo debo.
+Todo esto escuchaba Anselmo, y a cada palabra que Camila decía se le mudaban los pensamientos; mas cuando entendió que estaba resuelta en matar a Lotario, quiso salir y descubrirse, porque tal cosa no se hiciese; pero detúvole el deseo de ver en qué paraba tanta gallardía y honesta resolución, con propósito de salir a tiempo que la estorbase.
+Tomóle en esto a Camila un fuerte desmayo y, arrojándose encima de una cama que allí estaba, comenzó Leonela a llorar muy amargamente y a decir:
+-¡Ay, desdichada de mí si fuese tan sin ventura, que se me muriese aquí entre mis brazos la flor de la honestidad del mundo, la corona de las buenas mujeres, el ejemplo de la castidad...!
+Con otras cosas a éstas semejantes, que ninguno la escuchara que no la tuviera por la más lastimada y leal doncella del mundo, y a su señora por otra nueva y perseguida Penélope. Poco tardó en volver de su desmayo Camila, y al volver en si, dijo:
+-¿Por qué no vas, Leonela, a llamar al más leal amigo de amigo que vio el sol, o cubrió la noche? Acaba, corre, aguija, camina, no se esfogue con la tardanza el fuego de la cólera que tengo, y se pase en amenazas y maldiciones la justa venganza que espero.
+-Ya voy a llamarle, señora mía -dijo Leonela-; mas hasme de dar primero esa daga, porque no hagas cosa, en tanto que falto, que dejes con ella que llorar toda la vida a todos los que bien te quieren.
+-Ve segura, Leonela amiga, que no haré -respondió Camila-; porque ya que sea atrevida, y simple, a tu parecer, en volver por mi honra, no lo he de ser tanto como aquella Lucrecia de quien dicen que se mató sin haber cometido error alguno, y sin
+haber muerto primero a quien tuvo la causa de su desgracia. Yo moriré, si muero; pero ha de ser vengada y satisfecha del que me ha dado ocasión de venir a este lugar a llorar sus atrevimientos, nacidos tan sin culpa mía.
+Mucho se hizo de rogar Leonela antes que saliese a llamar a Lotario; pero, en fin, salió, y entre tanto que volvía, quedó Camila diciendo, como que hablaba consigo misma:
+-¡Válame Dios! ¿No fuera más acertado haber despedido a Lotario, como otras muchas veces lo he hecho, que no ponerle en condición, como ya le he puesto, que me tenga por deshonesta y mala, siquiera este tiempo que he de tardar en desengañarle? Mejor fuera, sin duda; pero no quedara yo vengada, ni la honra de mi marido satisfecha, si tan a manos lavadas y tan a paso llano se volviera a salir de donde sus malos pensamientos le entraron. Pague el traidor con la vida lo que intento con tan lascivo deseo: sepa el mundo, si acaso llegare a saberlo, de que Camila no sólo guardó la lealtad a su esposo, sino que le dio venganza del que se atrevió a ofendelle. Mas, con todo, creo que fuera mejor dar cuenta desto a Anselmo; pero ya se la apunté a dar en la carta que le escribí al aldea, y creo que el no acudir él al remedio del daño que allí le señalé, debió de ser que, de puro bueno y confiado, no quiso ni pudo creer que en el pecho de su tan firme amigo pudiese caber género de pensamiento que contra su honra fuese; ni aun yo lo creí después, por muchos días, ni lo creyera jamás, si su insolencia no llegara a tanto, que las manifiestas dádivas y las largas promesas y las continuas lágrimas no me lo manifestaran. Mas ¿para qué hago yo ahora estos discursos? ¿Tiene, por ventura, una resolución gallarda necesidad de consejo alguno? No, por cierto. ¡Muera, pues, traidores; aquí, venganzas! ¡Entre el falso, venga, llegue, muera y acabe, y suceda lo que sucediere! Limpia entré en poder del que el cielo me dio por mío; limpia he de salir dél, y, cuando mucho, saldré bañada en mi casta sangre, y en la impura del más falso amigo que vio la amistad en el mundo.
+Y diciendo esto, se paseaba por la sala con la daga desenvainada, dando tan desconcertados y desaforados pasos y haciendo tales ademanes, que no parecía sino que le faltaba el juicio, y que no era mujer delicada, sino un rufián desesperado.
+Todo lo miraba Anselmo, cubierto detrás de unos tapices donde se había escondido, y de todo se admiraba, y ya le parecía que lo que había visto y oído era bastante satisfacción para mayores sospechas, y ya quisiera que la prueba de venir Lotario faltara, temeroso de algún mal repentino suceso. Y estando ya para manifestarse y salir, para abrazar y desengañar a su esposa, se detuvo porque vio que Leonela volvía con Lotario de la mano; y así como Camila le vio, haciendo con la daga en el suelo una gran raya delante della, le dijo:
+-Lotario, advierte lo que te digo; si a dicha te atrevieres a pasar desta raya que ves, ni aun llegar a ella, en el punto que viere que lo intentas, en ése mismo me pasaré el pecho con esta daga que en las manos tengo. Y antes que a esto me respondas palabras, quiero que otras algunas me escuches; que después responderás lo que más te agradare. Lo primero, quiero, Lotario, que me digas si conoces a Anselmo mi marido, y en qué opinión le tienes; y lo segundo, quiero saber también si me conoces a mi. Respóndeme a esto, y no te turbes, ni pienses mucho lo que has de responder, pues no son dificultades las que te pregunto.
+No era tan ignorante Lotario, que desde el primer punto que Camila le dijo que hiciese esconder a Anselmo, no hubiese dado en la cuenta de lo que ella pensaba hacer; y así, correspondió con su intención tan discretamente y tan a tiempo, que
+hicieran los dos pasar aquella mentira por más que cierta verdad; y así, respondió a Camila desta manera:
+-No pensé yo, hermosa Camila, que me llamabas para preguntarme cosas tan fuera de la intención con que yo aquí vengo. Si lo haces por dilatarme la prometida merced, desde más lejos pudieras entretenerla, porque tanto más fatiga el bien deseado cuanto la esperanza está más cerca de poseello; pero porque no digas que no respondo a tus preguntas, digo que conozco a tu esposo Anselmo, y nos conocemos los dos desde nuestros más tiernos años: y no quiero decir lo que tú tan bien sabes de nuestra amistad, por no me hacer testigo del agravio que el amor hace que le haga, poderosa disculpa de mayores yerros. A ti te conozco y tengo en la misma posesión que él te tiene; que, a no ser así, por menos prendas que las tuyas no había yo de ir contra lo que debo a ser quien soy y contra las santas leyes de la verdadera amistad, ahora por tan poderoso enemigo como el amor por mi rompidas y violadas.
+-Si eso confiesas -respondió Camila-, enemigo mortal de todo aquello que justamente merece ser amado, ¿con qué rostro osas parecer ante quien sabes que es el espejo donde se mira aquél en quien tú te debieras mirar, para que vieras con cuán poca ocasión le agravias? Pero ya cayo, ¡ay, desdichada de mi!, en la cuenta de quién te ha hecho tener tan poca con lo que a ti mismo debes, que debe de haber sido alguna desenvoltura mía, que no quiero llamarla deshonestidad, pues no habrá procedido de deliberada determinación, sino de algún descuido de los que las mujeres que piensan que no tienen de quién recatarse suelen hacer inadvertidamente. Si no, dime: ¿cuándo, ¡oh traidor!, respondí a tus ruegos con alguna palabra o señal que pudiese despertar en ti alguna sombra de esperanza de cumplir tus infames deseos? ¿Cuándo tus amorosas palabras no fueron deshechas y reprehendidas de las mías con rigor y con aspereza? ¿Cuándo tus muchas promesas y mayores dádivas fueron de mí creídas ni admitidas? Pero, por parecerme que alguno no puede perseverar en el intento amoroso luengo tiempo, si no es sustentado de alguna esperanza, quiero atribuirme a mí la culpa de tu impertinencia, pues, sin duda, algún descuido mío ha sustentado tanto tiempo tu cuidado, y así, quiero castigarme y darme la pena que tu culpa merece. Y porque vieses que siendo conmigo tan inhumana, no era posible dejar de serlo contigo, quise traerte a ser testigo del sacrificio que pienso hacer a la ofendida honra de mi tan honrado marido, agraviado de ti con el mayor cuidado que te ha sido posible, y de mí también con el poco recato que he tenido del huir la ocasión, si alguna te di, para favorecer y canonizar tus malas intenciones. Torno a decir que la sospecha que tengo que algún descuido mío engendró en ti tan desvariados pensamientos es la que más me fatiga, y la que yo más deseo castigar con mis propias manos, porque, castigándome otro verdugo, quizá sería más pública mi culpa; pero antes que esto haga, quiero matar muriendo, y llevar conmigo quien me acabe de satisfacer el deseo de la venganza que espero y tengo, viendo allá, dondequiera que fuere, la pena que da la justicia desinteresada y que no se dobla al que en términos tan desesperados me ha puesto.
+Y diciendo estas razones, con una increíble fuerza y ligereza arremetió a Lotario con la daga desenvainada, con tales muestras de querer enclavársela en el pecho, que casi él estuvo en duda si aquellas demostraciones eran falsas o verdaderas, porque le fue forzoso valerse de su industria y de su fuerza para estorbar que Camila no le diese. La cual tan vivamente fingía aquel extraño embuste y fealdad, que, por dalle color de verdad, la quiso matizar con su misma sangre; porque, viendo que no podía haber a Lotario, o fingiendo que no podía, dijo:
+-Pues la suerte no quiere satisfacer del todo mi tan justo deseo, a lo menos, no será tan poderosa, que, en parte, me quite que no le satisfaga.
+Y haciendo fuerza para soltar la mano de la daga, que Lotario la tenía asida, la sacó, y guiando su punta por parte que pudiese herir no profundamente, se la entró y escondió por más arriba de la islilla del lado izquierdo, junto al hombro, y luego se dejó caer en el suelo, como desmayada.
+Estaban Leonela y Lotario suspensos y atónitos de tal suceso, y todavía dudaban de la verdad de aquel hecho, viendo a Camila tendida en tierra y bañada en su sangre. Acudió Lotario con mucha presteza, despavorido y sin aliento, a sacar la daga, y en ver la pequeña herida, salió del temor que hasta entonces tenía, y de nuevo se admiró de la sagacidad, prudencia y mucha discreción de la hermosa Camila; y, por acudir con lo que a él le tocaba, comenzó a hacer una larga y triste lamentación sobre el cuerno de Camila, corno si estuviera difunta, echándose muchas maldiciones, no sólo a él, sino al que había sido causa de habelle puesto en aquel término. Y como sabía que le escuchaba su amigo Anselmo, decía cosas que el que le oyera le tuviera mucha más lástima que a Camila, aunque por muerta la juzgara. Leonela la tomó en brazos y la puso en el lecho, suplicando a Lotario fuese a buscar quien secretamente a Camila curase; pedíale asimismo consejo y parecer de lo que dirían a Anselmo de aquella herida de su señora, si acaso viniese antes que estuviese sana. El respondió que dijesen lo que quisiesen; que él no estaba para dar consejo que de provecho fuese; sólo le dijo que procurase tomarle la sangre, porque él se iba adonde gentes no le viesen. Y con muestras de mucho dolor y sentimiento, se salió de casa; y cuando se vio solo y en parte donde nadie le veía, no cesaba de hacerse cruces, maravillándose de la industria de Camila y de los ademanes tan proprios de Leonela. Consideraba cuán enterado había de quedar Anselmo de que tenía por mujer a una segunda Porcia, y deseaba verse con él para celebrar los dos la mentira y la verdad más disimulada que jamás pudiera imaginarse.
+Leonela tomó, como se ha dicho, la sangre a su señora, que no era más de aquello que bastó para acreditar su embuste, y lavando con un poco de vino la herida, se la ató lo mejor que supo, diciendo tales razones en tanto que la curaba, que aunque no hubieran precedido otras, bastaran a hacer creer a Anselmo que tenía en Camila un simulacro de la honestidad. Juntáronse a las palabras de Leonela otras de Camila, llamándose cobarde y de poco ánimo, pues le había faltado al tiempo que fuera más necesario tenerle, para quitarse la vida, que tan aborrecida tenía. Pedía consejo a su doncella si daría, o no, todo aquel suceso a su querido esposo; la cual le dijo que no se lo dijese, porque le pondría en obligación de vengarse de Lotario, lo cual no podría ser sin mucho riesgo suyo, y que la buena mujer estaba obligada a no dar ocasión a su marido a que riñese, sino a quitalle todas aquellas que le fuese posible. Respondió Camila que le parecía muy bien su parecer, y que ella le seguiría; pero que en todo caso convenía buscar qué decir a Anselmo de la causa de aquella herida, que él no podría dejar de ver; a lo que Leonela respondía que ella, ni aun burlando, no sabía mentir.
+-Pues yo, hermana -replicó Camila-, ¿qué tengo de saber, que no me atreveré a forjar ni sustentar una mentira, si me fuese en ello la vida? Y si es que no hemos de saber dar salida a esto, mejor será decirle la verdad desnuda, que no que nos alcance en mentirosa cuenta.
+-No tengas pena, señora: de aquí a mañana -respondió Leonela- yo pensaré qué le digamos, y quizá que por ser la herida donde es, la podrás encubrir sin que él la vea, y el cielo será servido de favorecer a nuestros tan justos y tan honrados pensamientos. Sosiégate, señora mía, y procura sosegar tu alteración, porque mi señor no te halle sobresaltada, y lo demás déjalo a mi cargo, y al de Dios, que siempre acude a los buenos deseos.
+Atentísimo había estado Anselmo a escuchar y a ver representar la tragedia de la muerte de su honra; la cual con tan extraños y eficaces afectos la representaron los personajes della, que pareció que se habían transformado en la misma verdad de lo que fingían. Deseaba mucho la noche, y el tener lugar para salir de su casa, y ir a verse con su buen amigo Lotario, congratulándose con él de la margarita preciosa que había hallado en el desengaño de la bondad de su esposa. Tuvieron cuidado las dos de darle lugar y comodidad a que saliese, y él, sin perdella, salió, y luego fue a buscar a Lotario; el cual hallado, no se puede buenamente contar los abrazos que le dio, las cosas que de su contento le dijo, las alabanzas que dio a Camila. Todo lo cual escuchó Lotario sin poder dar muestras de alguna alegría, porque se le representaba a la memoria cuán engañado estaba su amigo, y cuán injustamente él le agraviaba; y aunque Anselmo veía que Lotario no se alegraba, creía ser la causa por haber dejado a Camila herida y haber él sido la causa; y así, entre otras razones, le dijo que no tuviese pena del suceso de Camila, porque, sin duda, la herida era ligera, pues quedaban de concierto de encubrirsela a él, y que, según esto, no había de qué temer, sino que de allí adelante se gozase y alegrase con él, pues por su industria y medio él se veía levantado a la más alta felicidad que acertara a desearse, y quería que no fuesen otros sus entretenimientos que el hacer versos en alabanza de Camila, que la hiciesen eterna en la memoria de los siglos venideros. Lotario alabó su buena determinación y dijo que él, por su parte, ayudaría a levantar tan ilustre edificio.
+Con esto quedó Anselmo el hombre más sabrosamente engañado que pudo haber en el mundo: él mismo llevaba por la mano a su casa, creyendo que llevaba el instrumento de su gloria, toda la perdición de su fama. Recebíale Camila con rostro, al parecer, torcido, aunque con alma risueña. Duró este engaño algunos días, hasta que al cabo de pocos meses volvió Fortuna su rueda, y salió a plaza la maldad con tanto artificio hasta allí cubierta, y a Anselmo le costó la vida su impertinente curiosidad.
+Capítulo 35: Que trata de la brava y descomunal batalla que don Quijote tuvo con unos cueros de vino tinto, y se da fin a la novela del curioso impertinente
+Poco más quedaba por leer de la novela, cuando del caramanchón donde reposaba don Quijote salió Sancho Panza todo alborotado, diciendo a voces:
+-Acudid, señores, presto y socorred a mi señor, que anda envuelto en la más reñida y trabada batalla que mis ojos han visto. ¡Vive Dios, que ha dado una cuchillada al gigante enemigo de la señora princesa Micomicona, que le ha tajado la cabeza cercen a cercen como si fuera un nabo!
+-¿Qué decís, hermano? -dijo el cura, dejando de leer lo que de la novela quedaba-. ¿Estáis en vos, Sancho? ¿Cómo diablos puede ser eso que decís, estando el gigante dos mil leguas de aquí?
+En esto, oyeron un gran ruido en el aposento, y que don Quijote decía a voces:
+-¡Tente, ladrón, malandrín, follón; que aquí te tengo, y no te ha de valer tu cimitarra!
+Y parecía que daba grandes cuchilladas por las paredes. Y dijo Sancho:
+-No tienen que pararse a escuchar, sino entren a despartir la pelea, o a ayudar a mi amo; aunque ya no será menester, porque, sin duda alguna, el gigante está ya muerto, y dando cuenta a Dios de su pasada y mala vida; que yo vi correr la sangre por el suelo, y la cabeza cortada y caída a un lado, que es tamaña como un gran cuero de vino.
+-Que me maten -dijo a esta sazón el ventero- si don Quijote o don diablo no ha dado alguna cuchillada en alguno de los cueros de vino tinto que a su cabecera estaban llenos, y el vino derramado debe de ser lo que le parece sangre a este buen hombre.
+Y con esto entró en el aposento, y todos tras él, y hallaron a don Quijote en el más extraño traje del mundo. Estaba en camisa, la cual no era tan cumplida, que por delante le acabase de cubrir los muslos, y por detrás tenía seis dedos menos; las piernas eran muy largas y flacas, llenas de vello y no nada limpias; tenía en la cabeza un bonetillo colorado grasiento, que era del ventero; en el brazo izquierdo tenía revuelta la manta de la cama, con quien tenía ojeriza Sancho, y él se sabía bien el porqué, y en la derecha, desenvainada la espada, con la cual daba cuchilladas a todas partes, diciendo palabras como si verdaderamente estuviera peleando con algún gigante. Y es lo bueno que no tenía los ojos abiertos, porque estaba durmiendo y soñando que estaba en batalla con el gigante; que fue tan intensa la imaginación de la aventura que iba a fenecer, que le hizo soñar que ya había llegado al reino de Micomicón, y que ya estaba en la pelea con su enemigo; y
+había dado tantas cuchilladas en los cueros, creyendo que las daba en el gigante, que todo el aposento estaba lleno de vino. Lo cual visto por el ventero, tomó tanto enojo, que arremetió con don Quijote, y a puño cerrado le comenzó a dar tantos golpes, que si Cardenio y el cura no se le quitaran, él acabara la guerra del gigante; y, con todo aquello, no despertaba el pobre caballero, hasta que el barbero trujo un gran caldero de agua fría del pozo, y se le echó por todo el cuerpo de golpe, con lo cual despertó don Quijote; mas no con tanto acuerdo, que echase de ver de la manera que estaba. Dorotea, que vio cuán corta y sotilmente estaba vestido, no quiso entrar a ver la batalla de su ayudador y de su contrario.
+Andaba Sancho buscando la cabeza del gigante por todo el suelo, y como no la hallaba, dijo:
+-Ya yo sé que todo lo desta casa es encantamento; que la otra vez en este mesmo lugar donde ahora me hallo, me dieron muchos mojicones y porrazos, sin saber quién me los daba, y nunca pude ver a nadie; y ahora no parece por aquí esta cabeza, que vi cortar por mis mismísimos ojos, y la sangre corría del cuerno como de una fuente.
+-¿Qué sangre ni qué fuente dices, enemigo de Dios y de sus santos? -dijo el ventero-. ¿No ves, ladrón, que la sangre y la fuente no es otra cosa que estos cueros que aquí están horadados y el vino tinto que nada en este aposento, que nadando vea yo el alma, en los infiernos, de quien los horadó?
+-No sé nada -respondió Sancho-: sólo sé que vendré a ser tan desdichado, que, por no hallar esta cabeza, se me ha de deshacer mi condado como la sal en el agua.
+Y estaba peor Sancho despierto que su amo durmiendo: tal le tenían las promesas que su amo le había hecho. El ventero se desesperaba de ver la flema del escudero y el maleficio del señor, y juraba que no había de ser como la vez pasada, que se le fueron sin pagar, y que ahora no le habían de valer los previlegios de su caballería para dejar de pagar lo uno y lo otro, aun hasta lo que pudiesen costar las botanas que se habían de echar a los rotos cueros.
+Tenía el cura de las manos a don Quijote, el cual, creyendo que ya había acabado la aventura, y que se hallaba delante de la princesa Micomicona, se hincó de rodillas delante del cura, diciendo:
+-Bien puede la vuestra grandeza, alta y famosa señora, vivir, de hoy más, segura que le pueda hacer mal esta mal nacida criatura; y yo también, de hoy más, soy quito de la palabra que os di, pues, con el ayuda del alto Dios y con el favor de aquella por quien yo vivo y respiro, tan bien la he cumplido.
+-¿No lo dije yo? -dijo oyendo esto Sancho-. Si que no estaba yo borracho, ¡mirad si tiene puesto ya en sal mi amo al gigante! ¡Ciertos son los toros, mi condado está de molde!
+¿Quién no había de reír con los disparates de los dos, amo y mozo? Todos reían sino el ventero, que se daba a Satanás; pero, en fin, tanto hicieron el barbero, Cardenio y el cura, que, con no poco trabajo, dieron con don Quijote en la cama, el cual se quedó dormido, con muestras de grandísimo cansancio. Dejáronle dormir, y saliéronse al portal de la venta a consolar a Sancho Panza de no haber hallado la cabeza del gigante; aunque más tuvieron que hacer en aplacar al ventero, que estaba desesperado por la repentina muerte de sus cueros. Y la ventera decía en voz y en grito:
+-En mal punto y en hora menguada entró en mi casa este caballero andante, que nunca mis ojos le hubieran visto, que tan caro me cuesta. La vez pasada se fue con el costo de una noche, de cena, cama, paja y cebada, para él y para su escudero, y un rocín y un jumento, diciendo que era caballero aventurero, que mala ventura le dé Dios, a él y a cuantos aventureros hay en el mundo, y que por esto no estaba obligado a pagar nada, que así estaba escrito en los aranceles de la caballería andantesca; y ahora, por su respeto, vino estotro señor y me llevó mi cola, y hámela vuelto con más de dos cuartillos de daño, toda pelada, que no puede servir para lo que la quiere mi marido; y por fin y remate de todo, romperme mis cueros y derramarme mi vino, que derramada le vea yo su sangre. ¡Pues no se piense; que por los huesos de mi padre y por el siglo de mi madre, si no me lo han de pagar un cuarto sobre otro, o no me llamaría yo como me llamo, ni seria hija de quien soy!
+Estas y otras razones tales decía la ventera con grande enojo, y ayudábala su buena criada Maritornes. La hija callaba, y de cuando en cuando se sonreía. El cura lo sosegó todo, prometiendo de satisfacerles su pérdida lo mejor que pudiese, así de los cueros como del vino, y principalmente del menoscabo de la cola, de quien tanta cuenta hacían. Dorotea consoló a Sancho Panza diciéndole que cada y cuando que pareciese haber sido verdad que su amo hubiese descabezado al gigante, le prometía, en viéndose pacífica en su reino, de darle el mejor condado que en él hubiese. Consolóse con esto Sancho, y aseguró a la princesa que tuviese por cierto que él había visto la cabeza del gigante, y que, por más señas, tenía una barba que le llegaba a la cintura; y que si no parecía, era porque todo cuanto en aquella casa pasaba era por vía de encantamento, como él lo había probado otra vez que había posado en ella. Dorotea dijo que así lo creía, y que no tuviese pena; que todo se haría bien y sucedería a pedir de boca.
+Sosegados todos, el cura quiso acabar de leer la novela, porque vio que faltaba poco. Cardenio, Dorotea y todos los demás le rogaron la acabase. El, que a todos quiso dar gusto, y por el que él tenía de leerla, prosiguió el cuento, que así decía:
+Sucedió, pues, que, por la satisfación que Anselmo tenia de la bondad de Camila, vivía una vida contenta y descuidada, y Camila, de industria, hacia mal rostro a Lotario, porque Anselmo entendiese al revés de la voluntad que le tenía; y para mas confirmación de su hecho, pidió licencia Lotario para no venir a su casa, pues claramente se mostraba la pesadumbre que con su vista Camila recebía; mas el engañado Anselmo le dijo que en ninguna manera tal hiciese; y desta manera, por mil maneras era Anselmo el fabricador de su deshonra, creyendo que lo era de su gusto.
+En esto, el que tenía Leonela de verse cualificada en sus amores llegó a tanto, que, sin mirar a otra cosa, se iba tras él a suelta rienda, fiada en que su señora la encubría, y aun la advertía del modo que con poco recelo pudiese ponerle en ejecución. En fin, una noche sintió Anselmo pasos en el aposento de Leonela, y queriendo entrar a ver quién los daba, sintió que le detenían la pueda, cosa que le puso mas voluntad de abrirla; y tanta fuerza hizo, que la abrió, y entró dentro a tiempo que vio que un hombre saltaba por la ventana a la calle; y acudiendo con presteza a alcanzarle o conocerle, no pudo conseguir lo uno ni lo otro, porque Leonela se abrazo con él, diciéndole:
+-Sosiégate, señor mío, y no te alborotes, ni sigas al que de aquí saltó: es cosa mía, y tanto, que es mi esposo.
+No lo quiso creer Anselmo; antes, ciego de enojo, sacó la daga y quiso herir a Leonela, diciéndole que le dijese la verdad; si no, que la mataría. Ella, con el miedo, sin saber lo que se decía, le dijo:
+-No me mates, señor, que yo te diré cosas de más importancia de las que puedes imaginar.
+-Dilas luego -dijo Anselmo-; si no, muerta eres.
+-Por ahora será imposible -dijo Leonela-, según estoy de turbada; déjame hasta mañana, que entonces sabrás de milo que te ha de admirar; y está seguro que el que saltó por esta ventana es un mancebo de esta ciudad, que me ha dado la mano de ser mi esposo.
+Sosegose con esto Anselmo y quiso aguardar el término que se le pedía, porque no pensaba oír cosa que contra Camila fuese, por estar de su bondad tan satisfecho y seguro; y así, se salió del aposento y dejo encerrada en el a Leonela, diciéndole que de allí no saldría hasta que le dijese lo que tenía que decirle.
+Fue luego a ver a Camila y a decirle, como le dijo, todo aquello que con su doncella le había pasado, y la palabra que le había dado de decirle grandes cosas y de importancia. Si se turbó Camila o no, no hay para qué decirlo; porque fue tanto el temor que cobró creyendo verdaderamente, y era de creer, que Leonela había de decir a Anselmo todo lo que sabía de su poca fe, que no tuvo ánimo para esperar si su sospecha salía falsa o no, y aquella mesma noche, cuando le pareció que Anselmo dormía, juntó las mejores joyas que tenía, y algunos dineros, y, sin ser de nadie sentida, salió de casa y se fue a la de Lotario, a quien contó lo que pasaba y le pidió que la pusiese en cobro, o que se ausentasen los dos donde de Anselmo pudiesen estar seguros. La confusión en que Camila puso a Lotario fue tal que no le sabia responder palabra, ni menos sabia resolverse en lo que haría. En fin, acordó de llevar a Camila a un monesterio, en quien era priora una su hermana. Consintió Camila en ello, y con la presteza que el caso pedía la llevó Lotario y la dejó en el monesterio, y él ansimesmo se ausentó luego de la ciudad, sin dar parte a nadie de su ausencia.
+Cuando amaneció, sin echar de ver Anselmo que Camila faltaba de su lado, con el deseo que tenía de saber lo que Leonela quería decirle, se levantó y fue adonde la había dejado encerrada. Abrió y entró en el aposento, pero no halló en él a Leonela; sólo halló puestas unas sábanas añudadas a la ventana, indicio y señal que por allí se había descolgado e ido. Volvió luego muy triste a decírselo a Camila, y, no hallándola en la cama ni en toda la casa, quedó asombrado. Preguntó a los criados de casa por ella; pero nadie le supo dar razón de lo que pedía.
+Acertó acaso, andando a buscar a Camila, que vio sus cofres abiertos y que dellos faltaban las más de sus joyas, y con esto acabó de caer en la cuenta de su desgracia, y en que no era Leonela la causa de su desventura; y ansí como estaba, sin acabarse de vestir, triste y pensativo, fue a dar cuenta de su desdicha a su amigo Lotario. Mas cuando no le halló, y sus criados le dijeron que aquella noche había faltado de casa, y había llevado consigo todos los dineros que tenía, pensó perder el juicio. Y para acabar de concluir con todo, volviéndose a su casa, no hallo en ella ninguno de cuantos criados ni criadas tenía, sino la casa desierta y sola.
+No sabia que pensar, qué decir, ni qué hacer, y poco a poco se le iba volviendo el juicio. Contemplábase y mirábase en un instante sin mujer, sin amigo y sin criados, desamparado, a su parecer, del cielo que le cubría, y sobre todo sin honra, porque en la falta de Camila vio su perdición.
+Resolvióse, en fin, a cabo de una gran pieza, de irse a la aldea de su amigo, donde había estado cuando dio lugar a que se maquinase toda aquella desventura. Cerró las puedas de su casa, subió a caballo, y con desmayado aliento se puso en camino; y apenas hubo andado la mitad, cuando, acosado de sus pensamientos, le fue forzoso apearse y arrendar su caballo a un árbol, a cuyo tronco se dejó caer, dando tiernos y dolorosos suspiros, y allí se estuvo hasta casi que anochecía; y a aquella hora vio que venía un hombre a caballo de la ciudad, y, después de haberle saludado, le preguntó qué nuevas había en Florencia. El ciudadano respondió:
+-Las más extrañas que muchos días ha se han oído en ella; porque se dice públicamente que Lotario, aquel grande amigo de Anselmo el rico, que vivía a San Juan, se llevó esta noche a Camila, mujer de Anselmo, el cual tampoco parece. Todo esto ha dicho una criada de Camila, que anoche la halló el gobernador descolgándose con una sábana por las ventanas de la casa de Anselmo. En efeto, no sé puntualmente cómo pasó el negocio; sólo sé que toda la ciudad está admirada deste suceso, porque no se podía esperar tal hecho de la mucha y familiar amistad de los dos, que dicen que era tanta, que los llamaban los dos amigos.
+-¿Sábese, por ventura -dijo Anselmo-, el camino que llevan Lotario y Camila?
+-Ni por pienso -dijo el ciudadano-, puesto que el gobernador ha usado de mucha diligencia en buscarlos.
+-A Dios vais, señor -dijo Anselmo.
+-Con él quedéis -respondió el ciudadano, y fuese.
+Con tan desdichadas nuevas casi llegó a términos Anselmo, no sólo de perder el juicio, sino de acabar la vida. Levantóse como pudo, y llegó a casa de su amigo, que aún no sabia su desgracia; mas como le vio llegar amarillo, consumido y seco, entendió que de algún grave mal venia fatigado. Pidió luego Anselmo que le acostasen, y que le diesen aderezo de escribir. Hízose así, y dejáronle acostado y solo, porque él así lo quiso, y aun que le cerrasen la pueda. Viéndose, pues, solo, comenzó a cargar tanto la imaginación de su desventura, que claramente conoció que se le iba acabando la vida; y así, ordenó de dejar noticia de la causa de su extraña muerte; y comenzando a escribir, antes que acabase de poner todo lo que queda, le faltó el aliento y dejó la vida en las manos del dolor que le causó su curiosidad impertinente.
+Viendo el señor de la casa que era ya tarde y que Anselmo no llamaba, acordó de entrar a saber si pasaba adelante su indisposición, y hallóle tendido boca abajo, la mitad del cuerno en la cama y la otra mitad sobre el bufete, sobre el cual estaba, con el papel escrito y abierto, y él tenía aún la pluma en la mano. Llegóse el huésped a él, habiéndole llamado primero; y, trabándole por la mano, viendo que no le respondía, y hallándole frío, vio que estaba muerto. Admiróse y congojóse en gran manera, y llamó a la gente de casa para que viesen la desgracia a Anselmo sucedida, y, finalmente, leyó el papel, que conoció que de su mesma mano estaba escrito, el cual contenía estas razones:
+Un necio e impertinente deseo me quitó la vida. Si las nuevas de mi muerte llegaren a los oídos de Camila, sepa que yo la perdono, porque no estaba ella obligada a hacer milagros, ni yo tenía necesidad de querer que ella los hiciese; y pues yo fui el fabricador de mi deshonra, no hay para qué...
+Hasta aquí escribió Anselmo, por donde se echó de ver que en aquel punto, sin poder acabar la razón, se le acabó la vida. Otro día dio aviso su amigo a los parientes de Anselmo de su muerte, los cuales ya sabían su desgracia, y el monesterio donde Camila estaba, casi en el término de acompañar a su esposo en aquel forzoso viaje, no por las nuevas del muerto esposo, mas por las que supo del ausente amigo. Dícese que, aunque se vio viuda, no quiso salir del monesterio, ni, menos, hacer profesión de monja, hasta que, no de allí a muchos días, le vinieron nuevas que Lotario había muerto en una batalla que en aquel tiempo dio monsiur de Lautrec al Gran Capitán Gonzalo Fernández de Córdoba en el reino de Nápoles, donde había ido a parar el tarde arrepentido amigo; lo cual sabido por Camila, hizo profesión, y acabó en breves días la vida, a las rigurosas manos de tristezas y melancolías. Este fue el fin que tuvieron todos, nacido de un tan desatinado principio.
+-Bien -dijo el cura- me parece esta novela; pero no me puedo persuadir que esto sea verdad; y si es fingido, fingió mal el autor, porque no se puede imaginar que haya marido tan necio, que quiera hacer tan costosa experiencia como Anselmo. Si este caso se pusiera entre un galán y una dama, pudiérase llevar; pero entre marido y mujer, algo tiene del imposible; y en lo que toca al modo de contarlo, no me descontenta.
+Capítulo 36: Que trata de otros raros sucesos que en la venta sucedieron
+Estando en esto, el ventero, que estaba a la puerta de la venta, dijo:
+-Esta que viene es una hermosa tropa de huéspedes; si ellos paran aquí, gaudeamus tenemos.
+-¿Qué geste es? -dijo Cardenio.
+-Cuatro hombres -respondió el ventero- vienen a caballo, a la jineta, con lanzas y adargas, y todos con antifaces negros; y junto con ellos viene una mujer vestida de blanco, en un sillón, ansimesmo cubierto el rostro, y otros dos mozos de a pie.
+-¿Vienen muy cerca? -preguntó el cura.
+Tan cerca -respondió el ventero-, que ya llegan.
+Oyendo esto Dorotea, se cubrió el rostro, y Cardenio se entró en el aposento de don Quijote; y casi no habían tenido lugar para esto, cuando entraron en la venta todos los que el ventero había dicho; y apeándose los cuatro de a caballo, que de muy gentil talle y disposición eran, fueron a apear a la mujer que en el sillón venia; y, tomándola uno dellos en sus brazos, la sentó en una silla que estaba a la entrada del aposento donde Cardenio se había escondido. En todo este tiempo, ni ella ni ellos se habían quitado los antifaces, ni hablado palabra alguna; sólo que al sentarse la mujer en la silla, dio un profundo suspiro, y dejó caer los brazos, como persona enferma y desmayada. Los mozos de a pie llevaron los caballos a la caballeriza.
+Viendo esto el cura, deseoso de saber qué gente era aquella que con tal traje y tal silencio estaba, se fue donde estaban los mozos, y a uno de ellos le preguntó lo que ya deseaba; el cual le respondió:
+-Pardiez, señor, yo no sabré deciros qué gente sea ésta; sólo sé que muestra ser muy principal, especialmente aquel que llego a tomar en sus brazos a aquella señora que habéis visto; y esto dígolo porque todos los demás le tienen respeto, y no se hace otra cosa mas de la que él ordena y manda.
+-Y la señora ¿quién es? -preguntó el cura.
+-Tampoco sabré decir eso -respondió el mozo-; porque en todo el camino no la he visto el rostro; suspirar si la he oído muchas veces y dar unos gemidos, que parece que con cada uno dellos quiere dar el alma. Y no es de maravillar que no sepamos más de lo habemos dicho, porque mi compañero y yo no ha más de dos días que los acompañamos; porque, habiéndolos encontrado en el camino, nos rogaron y
+persuadieron que viniésemos con ellos hasta el Andalucía, ofreciéndose a pagárnoslo muy bien.
+-Y ¿habéis oído nombrar a alguno dellos? -preguntó el cura.
+-No, por cierto -respondió el mozo-, porque todos caminan con tanto silencio, que es maravilla; porque no se oye entre ellos otra cosa que los suspiros y sollozos de la pobre señora, que nos mueven a lástima; y sin duda tenemos creído que ella va forzada donde quiera que va; y, según se puede colegir por su hábito, ella es monja, o va a serlo, que es lo más cierto, y quizá porque no le debe de nacer de voluntad el monjío, va triste, como parece.
+-Todo podría ser -dijo el cura.
+Y dejándolos, se volvió adonde estaba Dorotea; la cual, como había oído suspirar a la embozada, movida de natural compasión, se llegó a ella y le dijo:
+-¿Qué mal sentís, señora mía? Mirad si es alguno de quien las mujeres suelen tener uso y experiencia de curarle; que de mi parte os ofrezco una buena voluntad de serviros.
+A todo esto callaba la lastimada señora; y aunque Dorotea torno con mayores ofrecimientos, todavía se estaba en su silencio, hasta que llegó el caballero embozado que dijo el mozo que los demás obedecían, y dijo a Dorotea:
+-No os canséis, señora, en ofrecer nada a esa mujer, porque tiene por costumbre de no agradecer cosa que por ella se hace, ni procuréis que os responda, si no queréis oír alguna mentira de su boca.
+-Jamás la dije -dijo a esta sazón la que hasta allí había estado callando-; antes por ser tan verdadera y tan sin trazas mentirosas me veo ahora en tanta desventura; y desto vos mesmo quiero que seáis el testigo, pues mi pura verdad os hace a vos ser falso y mentiroso.
+Oyó estas razones Cardenio bien clara y distintamente, como quien estaba tan junto de quien las decía, que sola la puerta del aposento de don Quijote estaba en medio; y así como las oyó, dando una gran voz dijo:
+¡Válgame Dios! ¿Qué es esto que oigo? ¿Qué voz es esta que ha llegado a mis oídos?
+Volvió la cabeza a estos gritos aquella señora, toda sobresaltada, y no viendo quién los daba, se levantó en pie y fuese a entrar en el aposento; lo cual visto por el caballero, la detuvo, sin dejarla mover un paso. A ella, con la turbación y desasosiego, se le cayo el tafetán con que traía cubierto el rostro, y descubrió una hermosura incomparable y un rostro milagroso, aunque descolorido y asombrado, porque con los ojos andaba rodeando todos los lugares donde alcanzaba con la vista, con tanto ahínco, que parecía persona fuera de juicio; cuyas señales, sin saber por que las hacia, pusieron gran lástima en Dorotea y en cuantos la miraban. Teníala el caballero fuertemente asida por las espaldas, y por estar tan ocupado en tenerla, no pudo acudir a alzarse el embozo, que se le caía, como, en efeto, se le cayó del todo; y alzando los ojos Dorotea, que abrazada con la señora estaba, vio que el que abrazada ansimesmo la tenía era su esposo don Fernando; y apenas le hubo conocido, cuando arrojando de lo íntimo de sus entrañas un luengo y
+tristísimo ¡ay!, se dejó caer de espaldas desmayada; y a no hallarse allí junto el barbero, que la recogió en los brazos, ella diera consigo en el suelo.
+Acudió luego el cura a quitarle el embozo, para echarle agua en el rostro, y así como la descubrió, la conoció don Fernando, que era el que estaba abrazado con la otra, y quedó como muerto en verla; pero no porque dejase, con todo esto, de tener a Luscinda, que era la que procuraba soltarse de sus brazos; la cual había conocido en el suspiro a Cardenio, y él la había conocido a ella. Oyó asimesmo Cardenio el ¡ay! que dio Dorotea cuando se cayó desmayada, y, creyendo que era su Luscinda, salió del aposento despavorido, y lo primero que vio fue a don Fernando, que tenía abrazado a Luscinda. También don Fernando conoció luego a Cardenio; y todos tres, Luscinda, Cardenio y Dorotea, quedaron mudos y suspensos, casi sin saber lo que les había acontecido.
+Callaban todos y mirábanse todos, Dorotea a don Fernando, don Fernando a Cardenio, Cardenio a Luscinda, y Luscinda a Cardenio. Mas quien primero rompió el silencio fue Luscinda, hablando a don Fernando desta manera:
+-Dejadme, señor don Fernando, por lo que debéis a ser quien sois, ya que por otro respeto no lo hagáis, dejadme llegar al muro de quien yo soy yedra, al arrimo de quién no me han podido apartar vuestras importunaciones, vuestras amenazas, vuestras promesas ni vuestras dádivas. Notad cómo el cielo, por desusados y a nosotros encubiertos caminos me ha puesto a mi verdadero esposo delante; y bien sabéis por mil costosas experiencias que sola la muerte fuera bastante para borrarle de mi memoria. Sean, pues, parte tan claros desengaños para que volváis, ya que no podáis hacer otra cosa, el amor en rabia, la voluntad en despecho, y acabadme con él la vida, que como yo la rinda delante de mi buen esposo, la daré por bien empleada: quizá con mi muerte quedará satisfecho de la fe que le mantuve hasta el último trance de la vida.
+Había en este entretanto vuelto Dorotea en sí, y había estado escuchando todas las razones que Luscinda dijo, por las cuales vino en conocimiento de quién ella era; y viendo que don Fernando aún no la dejaba de los brazos, ni respondía a sus razones, esforzándose lo más que pudo, se levantó y se fue a hincar de rodillas a sus pies, y derramando mucha cantidad de hermosas y lastimeras lágrimas, así le comenzó a decir:
+-Si ya no es, señor mío, que los rayos deste sol que en tus brazos eclipsado tienes te quitan y ofuscan los de tus ojos, ya habrás echado de ver que la que a tus pies está arrodillada es la sin ventura, hasta que tú quieras, y la desdichada Dorotea. Yo soy aquella labradora humilde a quien tú, por tu bondad o por tu gusto, quisiste levantar a la alteza de poder llamarse tuya; soy la que, encerrada en los límites de la honestidad, vivió vida contenta hasta que, a las voces de tus importunidades, y, al parecer, justos y amorosos sentimientos, abrió las puertas de su recato y te entregó las llaves de su libertad, dádiva de ti tan mal agradecida, cual lo muestra bien claro haber sido forzoso hallarme en el lugar donde me hallas, y verte yo a ti de la manera que te veo. Pero, con todo esto, no querría que cayese en tu imaginación pensar que he venido aquí con pasos de mi deshonra, habiéndome traído sólo los del dolor y sentimiento de yerme de ti olvidada. Tú quisiste que yo fuese tuya, y quisístelo de manera que, aunque ahora quieras que no lo sea, no será posible que tú dejes de ser mío. Mira, señor mío, que puede ser recompensa a la hermosura y nobleza por quien me dejas la incomparable voluntad que te tengo. Tú no puedes ser de la hermosa Luscinda, porque eres mío, ni ella puede ser tuya, porque es de Cardenio; y más fácil te será, si en ello miras, reducir tu voluntad a querer a quien te adora, que no encaminar la que te aborrece a que bien te quiera. Tú solicitaste mi descuido; tú rogaste a mi entereza; tú no ignoraste mi calidad; tú
+sabes bien de la manera que me entregué a toda tu voluntad: no te queda lugar ni acogida de llamarte a engaño. Y si esto es así, como lo es, y tú eres tan cristiano como caballero, ¿por qué por tantos rodeos dilatas de hacerme venturosa en los fines, como me hiciste en los principios? Y si no me quieres por la que soy, que soy tu verdadera y legítima esposa, quiéreme, a lo menos, y admíteme por tu esclava; que como yo esté en tu poder, me tendré por dichosa y bien afortunada. No permitas, con dejarme y desampararme, que se hagan y junten corrillos en mi deshonra; no des tan mala vejez a mis padres, pues no lo merecen los leales servicios que, como buenos vasallos, a los tuyos siempre han hecho. Y si te parece que has de aniquilar tu sangre por mezclarla con la mía, considera que pocas o ninguna nobleza hay en el mundo que no haya corrido por este camino, y que la que se toma de las mujeres no es la que hace al caso en las ilustres descendencias, cuanto más, que la verdadera nobleza consiste en la virtud, y si ésta a ti te falta negándome lo que tan justamente me debes, yo quedaré con más ventajas de noble que las que tú tienes. En fin, señor, lo que últimamente te digo es que, quieras o no quieras, yo soy tu esposa: testigos son tus palabras, que no han ni deben ser mentirosas, si ya es que te precias de aquello por que me desprecias; testigo será la firma que hiciste, y testigo el cielo, a quien tú llamaste por testigo de lo que me prometías. Y cuando todo esto falte, tu misma conciencia no ha de faltar de dar voces callando en mitad de tus alegrías, volviendo por esta verdad que te he dicho, y turbando tus mejores gustos y contentos.
+Estas y otras razones dijo la lastimada Dorotea, con tanto sentimiento y lágrimas, que los mismos que acompañaban a don Fernando, y cuantos presentes estaban, la acompañaron en ellas. Escuchóla don Fernando sin replicalle palabra, hasta que ella dio fin a las suyas, y principio a tantos sollozos y suspiros, que bien había de ser corazón de bronce el que con muestras de tanto dolor no se enterneciera. Mirándola estaba Luscinda, no menos lastimada de su sentimiento que admirada de su mucha discreción y hermosura; y aunque quisiera llegarse a ella y decirle algunas palabras de consuelo, no la dejaban los brazos de don Femando, que apretada la tenían. El cual, lleno de confusión y espanto, al cabo de un buen espacio que atentamente estuvo mirando a Dorotea, abrió los brazos y, dejando libre a Luscinda, dijo:
+-Venciste, hermosa Dorotea, venciste; porque no es posible tener ánimo para negar tantas verdades juntas.
+Con el desmayo que Luscinda había tenido, así como la dejó don Femando iba a caer en el suelo; más hallándose Cardenio allí junto, que a las espaldas de don Femando se había puesto porque no le conociese, pospuesto todo temor y aventurando a todo riesgo, acudió a sostener a Luscinda, y, cogiéndola entre sus brazos, le dijo:
+-Si el piadoso cielo gusta y quiere que ya tengas algún descanso, leal, firme y hermosa señora mía, en ninguna parte creo yo que le tendrás más seguro que en estos brazos que ahora te reciben, y otro tiempo te recibieron, cuando la fortuna quiso que pudiese llamarte mía.
+A estas razones puso Luscinda en Cardenio los ojos, y habiendo comenzado a conocerle, primero por la voz, y asegurándose que él era con la vista, casi fuera de sentido y sin tener cuenta a ningún honesto respeto, le echó los brazos al cuello y, juntando su rostro con el de Cardenio, le dijo:
+-Vos sí, señor mío, sois el verdadero dueño desta vuestra captiva, aunque mas lo impida la contraria suerte, y aunque más amenazas le hagan a esta vida que en la vuestra se sustenta.
+Extraño espectáculo fue éste para don Femando y para todos los circunstantes, admirándose de tan no visto suceso. Parecióle a Dorotea que don Fernando había perdido la color del rostro, y que hacia ademán de querer vengarse de Cardenio, porque le vio encaminar la mano a ponella en la espada; y así como lo pensó, con no vista presteza se abrazó con él por las rodillas, besándoselas y teniéndole apretado, que no le dejaba mover, y, sin cesar un punto de sus lágrimas, le decía:
+-¿Qué es lo que piensas hacer, único refugio mío, en este tan impensado trance? Tú tienes a tus pies a tu esposa, y la que quieres que lo sea está en los brazos de su marido. Mira si te estará bien, o te será posible deshacer lo que el cielo ha hecho, o si te convendrá querer levantar a igualar a ti mismo a la que, pospuesto todo inconveniente, confirmada en su verdad y firmeza, delante de tus ojos tiene los suyos, bañados de licor amoroso el rostro y pecho de su verdadero esposo. Por quien Dios es te ruego, y por quien tú eres te suplico, que este tan notorio desengaño no sólo no acreciente tu ira, sino que la mengüe en tal manera, que con quietud y sosiego permitas que estos dos amantes le tengan sin impedimento tuyo todo el tiempo que el cielo quisiere concedérsele, y en esto mostrarás la generosidad de tu ilustre y noble pecho, y verá el mundo que tiene contigo más fuerza la razón que el apetito.
+En tanto que esto decía Dorotea, aunque Cardenio tenía abrazada a Luscinda, no quitaba los ojos de don Fernando, con determinación de que, si le viese hacer algún movimiento en su perjuicio, procurar defenderse y ofender como mejor pudiese a todos aquellos que en su daño se mostrasen, aunque le costase la vida; pero a esta razón acudieron los amigos de don Fernando, y el cura y el barbero, que a todo habían estado presentes, sin que faltase el bueno de Sancho Panza, y todos rodeaban a don Fernando, suplicándole tuviese por bien de mirar las lágrimas de Dorotea, y que, siendo verdad, como sin duda ellos creían que lo era, lo que en sus razones había dicho, que no permitiese quedase defraudada de sus tan justas esperanzas; que considerase que, no acaso, como parecía, sino con particular providencia del cielo, se habían todos juntado en lugar donde menos ninguno pensaba; y que advirtiese -dijo el cura- que sola la muerte podía apartar a Luscinda de Cardenio; y aunque los dividiesen filos de alguna espada, ellos tendrían por felicísima su muerte; y que en los lazos inremediables era suma cordura, forzándose y venciéndose a sí mismo, mostrar un generoso pecho, permitiendo que por sola su voluntad los dos gozasen el bien que el cielo ya les había concedido; que pusiese los ojos ansimesmo en la beldad de Dorotea, y vería que pocas o ninguna se le podían igualar, cuanto más hacerle ventaja, y que juntase a su hermosura su humildad y el extremo del amor que le tenía, y, sobre todo, advirtiese que si se preciaba de caballero y de cristiano, que no podía hacer otra cosa que cumplille la palabra dada; y que, cumpliéndosela, cumpliría con Dios y satisfaría a las gentes discretas, las cuales saben y conocen que es prerrogativa de la hermosura, aunque esté en sujeto humilde, como se acompañe con la honestidad, poder levantarse e igualarse a cualquiera alteza, sin nota de menoscabo del que la levanta e iguala a sí mismo; y cuando se cumplen las fuertes leyes del gusto, como en ello no intervenga pecado, no debe de ser culpado el que las sigue.
+En efeto, a estas razones añadieron todos otras, tales y tantas, que el valeroso pecho de don Fernando (en fin, como alimentado con ilustre sangre) se ablandó y se dejó vencer de la verdad, que él no pudiera negar aunque quisiera; y la señal que dio de haberse rendido y entregado al buen parecer que se le había propuesto fue abajarse y abrazar a Dorotea, diciéndole:
+-Levantaos, señora mía; no es justo que esté arrodillada a mis pies la que yo tengo en mi alma; y si hasta aquí no he dado muestras de lo que digo, quizá ha sido por orden del cielo, para que viendo yo en vos la fe con que me amáis, os sepa estimar
+en lo que merecéis. Lo que os mego es que no me reprehendáis mi mal término y mi mucho descuido; pues la misma ocasión y fuerza que me movió para acetaros por mía, esa misma me impelió para procurar no ser vuestro. Y que esto sea verdad, volved y mirad los ojos de la ya contenta Luscinda, y en ellos hallaréis disculpa de todos mis yerros; y pues ella halló y alcanzó lo que deseaba, y yo he hallado en vos lo que me cumple, viva ella segura y contenta luengos y felices años con su Cardenio; que yo rogaré al cielo que me los deje vivir con mi Dorotea.
+Y diciendo esto, la tomó a abrazar, y a juntar su rostro con el suyo, con tan tierno sentimiento, que le fue necesario tener gran cuenta con que las lágrimas no acabasen de dar indubitables señas de su amor y arrepentimiento. No lo hicieron así las de Luscinda y Cardenio, y aun las de casi todos los que allí presentes estaban; porque comenzaron a derramar tantas, los unos de contento proprio, y los otros del ajeno, que no parecía sino que algún grave y mal caso a todos había sucedido. Hasta Sancho Panza lloraba, aunque después dijo que no lloraba él sino por ver que Dorotea no era, como él pensaba, la reina Micomicona, de quién él tantas mercedes esperaba. Duró algún espacio, junto con el llanto, la admiración en todos, y luego Cardenio y Luscinda se fueron a poner de rodillas ante don Fernando, dándole gracias de la merced que les había hecho, con tan corteses razones, que don Fernando no sabía qué responderles; y así, los levantó y abrazó con muestras de mucho amor y de mucha cortesía.
+Preguntó luego a Dorotea le dijese cómo había venido a aquel lugar, tan lejos del suyo. Ella, con breves y discretas razones, contó todo lo que antes había contado a Cardenio; de lo cual gustó tanto don Femando y los que con él venían, que quisieron que durara el cuento más tiempo: tanta era la gracia con que Dorotea contaba sus desventuras. Y así como hubo acabado, dijo don Femando lo que en la ciudad le había acontecido después que halló el papel, en el seno de Luscinda, donde declaraba ser esposa de Cardenio y no poderlo ser suya. Dijo que la quiso matar, y lo hiciera si de sus padres no fuera impedido; y que, así, se salió de su casa despechado y corrido, con determinación de vengarse con más comodidad; y que otro día supo cómo Luscinda había faltado de casa de sus padres, sin que nadie supiese decir dónde se había ido, y que, en resolución, al cabo de algunos meses vino a saber cómo estaba en un monesterio, con voluntad de quedarse en él toda la vida, si no la pudiese pasar con Cardenio; y así como lo supo, escogiendo para su compañía aquellos tres caballeros, vino al lugar donde estaba, a la cual no había querido hablar, temeroso que en sabiendo que él estaba allí, había de haber más guarda en el monesterio; y así, aguardando un día a que la portería estuviese abierta, dejó a los dos a la guarda de la puerta, y él con otro habían entrado en el monesterio buscando a Luscinda, la cual hallaron en el claustro hablando con una monja; y, arrebatándola, sin darle lugar a otra cosa, se habían venido con ella a un lugar donde se acomodaron de aquello que hubieron menester para traella; todo lo cual habían podido hacer bien a su salvo, por estar el monesterio en el campo, buen trecho fuera del pueblo. Dijo que así como Luscinda se vio en su poder, perdió todos los sentidos; y que después de vuelta en si, no había hecho otra cosa sino llorar y suspirar, sin hablar palabra alguna; y que así, acompañados de silencio y de lágrimas, habían llegado a aquella venta, que para él era haber llegado al cielo, donde se rematan y tienen fin todas las desventuras de la tierra.
+Capítulo 37: Donde se prosigue la historia de la famosa infanta Micomicona, con otras graciosas aventuras
+Todo esto escuchaba Sancho, no con poco dolor de su ánima, viendo que se le desparecían e iban en humo las esperanzas de su ditado, y que la linda princesa Micomicona se le había vuelto en Dorotea, y el gigante en don Fernando, y su amo se estaba durmiendo a sueño suelto, bien descuidado de todo lo sucedido. No se podía asegurar Dorotea si era soñado el bien que poseía; Cardenio estaba en el mismo pensamiento, y el de Luscinda corría por la misma cuenta. Don Femado daba gracias al cielo por la merced recebida y haberle sacado de aquel intricado laberinto donde se hallaba tan a pique de perder el crédito y el alma; y, finalmente, cuantos en la venta estaban, estaban contentos y gozosos del buen suceso que habían tenido tan trabados y desesperados negocios.
+Todo lo ponía en su punto el cura, como discreto, y a cada uno daba el parabién del bien alcanzado; pero quien más jubilaba y se contentaba era la ventera, por la promesa que Cardenio y el cura le habían hecho de pagalle todos los daños e intereses que por cuenta de don Quijote le hubiesen venido. Sólo Sancho, como ya se ha dicho, era el afligido, el desventurado y el triste; y así, con malencónico semblante, entró a su amo, el cual acababa de despertar, a quien dijo:
+-Bien puede vuestra merced, señor Triste Figura, dormir todo lo que quisiere, sin cuidado de matar a ningún gigante, ni de volver a la princesa su reino; que ya todo está hecho y concluido.
+-Eso creo yo bien -respondió don Quijote-, porque he tenido con el gigante la más descomunal y desaforada batalla que pienso tener en todos los días de mi vida, y de un revés, ¡zas!, le derribé la cabeza en el suelo, y fue tanta la sangre que le salió, que los arroyos corrían por la tierra, como si fueran de agua.
+-Como si fueran de vino tinto, pudiera vuestra merced decir mejor -respondió Sancho-; porque quiero que sepa vuestra merced, si es que no lo sabe, que el gigante muerto es un cuero horadado; y la sangre, seis arrobas de vino tinto que encerraba en su vientre; y la cabeza cortada es... la puta que me parió, y llévelo todo Satanás.
+-Y ¿qué es lo que dices, loco? -replicó don Quijote-. ¿Estás en tu seso?
+-Levántese vuestra merced -dijo Sancho-, y verá el buen recado que ha hecho, y lo que tenemos que pagar, y verá a la reina convertida en una dama particular, llamada Dorotea, con otros sucesos, que, si cae en ellos, le han de admirar.
+-No me maravillaría de nada deso –replicó don Quijote-; porque si bien te acuerdas, la otra vez que aquí estuvimos te dije yo que todo cuanto aquí sucedía eran cosas de encantamento, y no seria mucho que ahora fuese lo mesmo.
+-Todo lo creyera yo -respondió Sancho-, si también mi manteamiento fuera cosa dese jaez; mas no lo fue, sino real y verdaderamente; y vi yo que el ventero que aquí está hoy día tenía del un cabo de la manta, y me empujaba hacia el cielo con mucho donaire y brío, y con tanta risa como fuerza; y donde interviene conocerse las personas, tengo para mi, aunque simple y pecador, que no hay encantamento alguno, sino mucho molimiento y mucha mala ventura.
+-Ahora bien, Dios lo remediará -dijo don Quijote-. Dame de vestir, y déjame salir allá fuera; que quiero ver los sucesos y transformaciones que dices.
+Diole de vestir Sancho, y en el entretanto que se vestía contó el cura a don Fernando y a los demás las locuras de don Quijote, y del artificio que había usado para sacarle de la Peña Pobre, donde él se imaginaba estar, por desdenes de su señora. Contóles asimismo casi todas las aventuras que Sancho había contado, de que no poco se admiraron y rieron, por parecerles lo que a todos parecía; ser el más extraño género de locura que podía caber en pensamiento disparatado. Dijo más el cura: que pues ya el buen suceso de la señora Dorotea impedía pasar con su designio adelante, que era menester inventar y hallar otro para poderle llevar a su tierra. Ofrecióse Cardenio de proseguir lo comenzado, y que Luscinda haría y representaría la persona de Dorotea.
+-No -dijo don Fernando-, no ha de ser así: que yo quiero que Dorotea prosiga su invención; que como no sea muy lejos de aquí el lugar deste buen caballero, yo holgaré de que se procure su remedio.
+-No está más de dos jornadas de aquí.
+-Pues aunque estuviera más, gustara yo de caminallas, a trueco de hacer tan buena obra.
+Salió, en esto, don Quijote, armado de todos sus pertrechos, con el yelmo, aunque abollado, de Mambrino en la cabeza, embrazado de su rodela y arrimado a su tronco o lanzón. Suspendió a don Fernando y a los demás la extraña presencia de don Quijote, viendo su rostro de media legua de andadura, seco y amarillo, la desigualdad de sus armas y su mesurado continente, y estuvieron callando, hasta ver lo que él decía; el cual, con mucha gravedad y reposo, puestos los ojos en la hermosa Dorotea, dijo:
+-Estoy informado, hermosa señora, deste mi escudero que la vuestra grandeza se ha aniquilado, y vuestro ser se ha deshecho, porque de reina y gran señora que solíades ser os habéis vuelto en una particular doncella. Si esto ha sido por orden del rey nigromante de vuestro padre, temeroso que yo no os diese la necesaria y debida ayuda, digo que no supo ni sabe de la misa la media, y que fue poco versado en las historias caballerescas; porque si él las hubiera leído y pasado tan atentamente y con tanto espacio como yo las pasé y leí, hallara a cada paso cómo otros caballeros de menor fama que la mía habían acabado cosas más dificultosas, no siéndolo mucho matar a un gigantillo, por arrogante que sea; porque no ha muchas horas que yo me vi con él, y... quiero callar, porque no me digan que miento; pero el tiempo, descubridor de todas las cosas, lo dirá cuando menos lo pensemos.
+-Vístesos vos con dos cueros; que no con un gigante -dijo a esta sazón el ventero.
+Al cual mandó don Fernando que callase y no interrumpiese la plática de don Quijote en ninguna manera; y don Quijote prosiguió diciendo:
+-Digo, en fin, alta y desheredada señora, que si por la causa que he dicho vuestro padre ha hecho este metamorfóseo en vuestra persona, que no le deis crédito alguno; porque no hay ningún peligro en la tierra por quien no se abra camino mi espada, con la cual, poniendo la cabeza de vuestro enemigo en tierra, os pondré a vos la corona de la vuestra en la cabeza, en breves días.
+No dijo más don Quijote, y esperó a que la princesa le respondiese; la cual, como ya sabía la determinación de don Fernando de que se prosiguiese adelante en el engaño hasta llevar a su tierra a don Quijote, con mucho donaire y gravedad le respondió:
+-Quienquiera que os dijo, valeroso caballero de la Triste Figura, que yo me había mudado y trocado de mi ser, no os dijo lo cierto, porque la misma que ayer fui me soy hoy. Verdad es que alguna mudanza han hecho en mí ciertos acaecimientos de buena ventura, que me han dado la mejor que yo pudiera desearme; pero no por eso he dejado de ser la que antes, y de tener los mesmos pensamientos de valerme del valor de vuestro valeroso e invenerable brazo que siempre he tenido. Así que, señor mío, vuestra bondad vuelva la honra al padre que me engendró, y téngale por hombre advertido y prudente, pues con su ciencia halló camino tan fácil y tan verdadero para remediar mi desgracia; que yo creo que si por vos, señor, no fuera, jamás acertara a tener la ventura que tengo; y en esto digo tanta verdad como son buenos testigos della los más destos señores que están presentes. Lo que resta es que mañana nos pongamos en camino, porque ya hoy se podrá hacer poca jornada, y en lo demás del buen suceso que espero, lo dejaré a Dios y al valor de vuestro pecho.
+Esto dijo la discreta Dorotea, y en oyéndolo don Quijote, se volvió a Sancho, y con muestras de mucho enojo, le dijo:
+-Ahora te digo, Sanchuelo, que eres el mayor bellacuelo que hay en España. Dime, ladrón vagamundo, ¿no me acabaste de decir ahora que esta princesa se había vuelto en una doncella que se llamaba Dorotea, y que la cabeza que entiendo que corté a un gigante era la puta que te parió, con otros disparates que me pusieron en la mayor confusión que jamás he estado en todos los días de mi vida? ¡Voto... -y miró al cielo y apretó los dientes-, que estoy por hacer un estrago en ti, que ponga sal en la mollera a todos cuantos mentirosos escuderos hubiere de caballeros andantes, de aquí adelante, en el mundo!
+-Vuestra merced se sosiegue, señor mío -respondió Sancho-, que bien podría ser que yo me hubiese engañado en lo que toca a la mutación de la señora princesa Micomicona; pero en lo que toca a la cabeza del gigante, o, a lo menos, a la horadación de los cueros y a lo de ser vino tinto la sangre, no me engaño, vive Dios, porque los cueros allí están heridos, a la cabecera del lecho de vuestra merced, y el vino tinto tiene hecho un lago el aposento; y si no, al freír de los huevos lo verá; quiero decir que lo verá cuando aquí su merced del señor ventero le pida el menoscabo de todo. De lo demás, de que la señora reina se esté como se estaba, me regocijo en el alma. porque me va mi parte, como a cada hijo de vecino.
+-Ahora yo te digo, Sancho -dijo don Quijote-, que eres un mentecato, y perdóname, y basta.
+-Basta -dijo don Fernando-, y no se hable más en esto; y pues la señora princesa dice que se camine mañana, porque ya hoy es tarde, hágase así, y esta noche la podremos pasar en buena conversación hasta el venidero día, donde todos acompañaremos al señor don Quijote, porque queremos ser testigos de las valerosas e inauditas hazañas que ha de hacer en el discurso desta grande empresa que a su cargo lleva.
+-Yo soy el que tengo de serviros y acompañaros -respondió don Quijote-, y agradezco mucho la merced que se me hace y la buena opinión que de mi se tiene, la cual procuraré que salga verdadera, o me costará la vida, y aún más, si más costarme puede.
+Muchas palabras de comedimiento y muchos ofrecimientos pasaron entre don Quijote y don Fernando; pero a todo puso silencio un pasajero que en aquella sazón entró en la venta, el cual en su traje mostraba ser cristiano recién venido de tierra de moros, porque venia vestido con una casaca de paño azul, corta de faldas, con medias mangas y sin cuello; los calzones eran asimismo de lienzo azul, con bonete de la misma color; traía unos borceguíes datilados y un alfanje morisco, puesto en un tahelí que le atravesaba el pecho. Entró luego tras él, encima de un jumento, una mujer a la morisca vestida, cubierto el rostro, con una toca en la cabeza; traía un bonetillo de brocado, y vestida una almalafa, que desde los hombros a los pies la cubría.
+Era el hombre de robusto y agraciado talle, de edad de poco más de cuarenta años, algo moreno de rostro, largo de bigotes y la barba muy bien puesta; en resolución, él mostraba en su apostura que si estuviera bien vestido, le juzgaran por persona de calidad y bien nacida. Pidió, en entrando, un aposento, y como le dijeron que en la venta no le había, mostró recebir pesadumbre; y llegándose a la que en el traje parecía mora, la apeó en sus brazos. Luscinda, Dorotea, la ventera, su hija y Maritornes, llevados del nuevo y para ellos nunca visto traje, rodearon a la mora, y Dorotea, que siempre fue agraciada, comedida y discreta, pareciéndole que así ella como el que la traía se congojaban por la falta del aposento, le dijo:
+-No os dé mucha pena, señora mía, la incomodidad de regalo que aquí falta, pues es proprio de ventas no hallarse en ellas; pero, con todo esto, si gustáredes de posar con nosotras -señalando a Luscinda-, quizá en el discurso deste camino habréis hallado otros no tan buenos acogimientos.
+No respondió nada a esto la embozada, no hizo otra cosa que levantarse de donde sentado se había, y puestas entrambas manos cruzadas sobre el pecho, inclinada la cabeza, dobló el cuerno en señal de que lo agradecía. Por su silencio imaginaron que, sin duda alguna, debía de ser mora y que no sabia hablar cristiano. Llegó, en esto, el cautivo, que entendiendo en otra cosa hasta entonces había estado, y viendo que todas tenían cercada a la que con él venia, y que ella a cuanto le decían callaba, dijo:
+-Señoras mías, esta doncella apenas entiende mi lengua, ni sabe hablar otra ninguna sino conforme a su tierra, y por esto no debe de haber respondido, ni responde, a lo que se le ha preguntado.
+-No se le pregunta otra cosa ninguna -respondió Luscinda- sino ofrecelle por esta noche nuestra compañía y parte del lugar donde nos acomodáremos, donde se le hará el regalo que la comodidad ofreciere, con la voluntad que obliga a servir a todos los extranjeros que dello tuvieren necesidad, especialmente siendo mujer a quien se sirve.
+-Por ella y por mi -respondió el cautivo- os beso, señora mía, las manos, y estimo mucho y en lo que es razón la merced ofrecida, que en tal ocasión, y de tales personas como vuestro parecer muestra, bien se echa de ver que ha de ser muy grande.
+-Decidme, señor -dijo Dorotea-: ¿esta señora es cristiana, o mora? Porque el traje y el silencio nos hace pensar que es lo que no querríamos que fuese.
+-Mora es en el traje y en el cuerno; pero en el alma es muy grande cristiana, porque tiene grandísimos deseos de serlo.
+-Luego ¿no es baptizada? -replicó Luscinda.
+-No ha habido lugar para ello -respondió el cautivo- después que salió de Argel, su patria y tierra, y hasta agora no se ha visto en peligro de muerte tan cercana, que obligase a baptizalla sin que supiese primero todas las ceremonias que nuestra Madre la Santa Iglesia manda; pero Dios será servido que presto se bautice, con la decencia que la calidad de su persona merece, que es más de lo que muestra su hábito y el mío.
+Con estas razones puso gana en todos los que escuchándole estaban de saber quién fuese la mora y el cautivo; pero nadie se lo quiso preguntar por entonces, por ver que aquella sazón era más para procurarles descanso que para preguntarles sus vidas. Dorotea la tomó por la mano, y la llevó a sentar junto a sí, y le rogó que se quitase el embozo. Ella miró al cautivo, como si le preguntara le dijese lo que decían y lo que ella haría. El, en lengua arábiga, le dijo que le pedían se quitase el embozo, y que lo hiciese; y así, se lo quitó, y descubrió un rostro tan hermoso, que Dorotea la tuvo por más hermosa que a Luscinda, y Luscinda por más hermosa que a Dorotea, y todos los circunstantes conocieron que si alguno se podría igualar al de las dos, era el de la mora, y aun hubo algunos que le aventajaron en alguna cosa. Y como la hermosura tenga prerrogativa y gracia de reconciliar los ánimos y atraer las voluntades, luego se rindieron todos al deseo de servir y acariciar a la hermosa mora.
+Preguntó don Fernando al cautivo cómo se llamaba la mora, el cual respondió que Lela Zoraida; y así como esto oyó ella, entendió lo que le habían preguntado al cristiano, y dijo con mucha priesa, llena de congoja y donaire:
+-¡No, no Zoraida; María, María! -dando a entender que se llamaba María y no Zoraida.
+Estas palabras y el grande afecto con que la mora las dijo hicieron derramar más de una lágrima a algunos de los que la escucharon, especialmente a las mujeres, que de su naturaleza son tiernas y compasivas. Abrazóla Luscinda con mucho amor, diciéndole:
+-Si, si, Maria, Maria.
+A lo cual respondió la mora:
+- Sí, si, María; Zoraida macange, que quiere decir no.
+Ya en esto llegaba la noche, y por orden de los que venían con don Fernando había el ventero puesto diligencia y cuidado en aderezarles de cenar lo mejor que a él le fuese posible. Llegada, pues, la hora, sentáronse todos a una larga mesa como de
+tinelo, porque no la había redonda ni cuadrada en la venta, y dieron la cabecera y principal asiento, puesto que él lo rehusaba, a don Quijote, el cual quiso que estuviese a su lado la señora Micomicona, pues él era su guardador. Luego se sentaron Luscinda y Zoraida, y frontero deltas don Fernando y Cardenio, y luego el cautivo y los demás caballeros, y al lado de las señoras el cura y el barbero. Y así, cenaron con mucho contento, y acrecentóseles más viendo que, dejando de comer don Quijote, movido de otro semejante espíritu que el que le movió a hablar tanto como habló cuando cenó con los cabreros, comenzó a decir:
+-Verdaderamente, si bien se considera, señores míos, grandes e inauditas cosas ven los que profesan la orden de la andante caballería. Si no, ¿cuál de los vivientes habrá en el mundo que ahora por la pueda deste castillo entrara, y de la suerte que estamos nos viera, que juzgue y crea que nosotros somos quien somos? ¿Quién podrá decir que esta señora que esta a mi lado es la gran reina que todos sabemos, y que yo soy aquel Caballero de la Triste Figura que anda por ahí en boca de la fama? Ahora no hay que dudar, sino que esta arte y ejercicio excede a todas aquellas y aquellos que los hombres inventaron, y tanto más se ha de tener en estima cuanto a más peligros está sujeto. Quítenseme de delante los que dijeren que las letras hacen ventaja a las armas; que les diré, y sean quien se fueren, que no saben lo que dicen. Porque la razón que los tales suelen decir y a lo que ellos más se atienen, es que los trabajos del espíritu exceden a los del cuerpo, y que las armas sólo con el cuerno se ejercitan, como si fuese su ejercicio oficio de ganapanes, para el cual no es menester más de buenas fuerzas, o como si en esto que llamamos armas los que las profesamos no se encerrasen los actos de la fortaleza, los cuales piden para ejecutallos mucho entendimiento, o como si no trabajase el ánimo del guerrero que tiene a su cargo un ejército, o la defensa de una ciudad sitiada, así con el espíritu como con el cuerpo. Si no, véase si se alcanza con las fuerzas corporales a saber y conjeturar el intento del enemigo, los disignios, las estratagemas, las dificultades, el prevenir los daños que se tomen; que todas estas cosas son acciones del entendimiento, en quien no tiene parte alguna el cuerpo. Siendo, pues, ansí que las armas requieren espíritu, como las letras, veamos ahora cuál de los dos espíritus, el del letrado o el del guerrero, trabaja más; y esto se vendrá a conocer por el fin y paradero a que cada uno se encamina; porque aquella intención se ha de estimar en más que tiene por objeto más noble fin. Es el fin y paradero de las letras..., y no hablo ahora de las divinas, que tienen por blanco llevar y encaminar las almas al cielo; que a un fin tan sin fin como éste ninguno otro se le puede igualar: hablo de las letras humanas, que es su fin poner en su punto la justicia distributiva y dar a cada uno lo que es suyo, y entender y hacer que las buenas leyes se guarden. Fin, por cierto, generoso y alto, y digno de grande alabanza; pero no de tanta como merece aquel a que las armas atienden, las cuales tienen por objeto y fin la paz, que es el mayor bien que los hombres pueden desear en esta vida. Y así, las primeras buenas nuevas que tuvo el mundo y tuvieron los hombres fueron las que dieron los ángeles la noche que fue nuestro día, cuando cantaron en los aires: «Gloria sea en las alturas, y paz en la tierra a los hombres de buena voluntad»; y la salutación que el mejor maestro de la tierra y del cielo enseñó a sus allegados y favorecidos fue decirles que cuando entrasen en alguna casa dijesen: «Paz sea en esta casa»; y otras muchas veces les dijo: «Mi paz os doy; mi paz os dejo; paz sea con vosotros», bien como joya y prenda dada y dejada de tal mano; joya, que sin ella, en la tierra ni en el cielo puede haber bien alguno. Esta paz es el verdadero fin de la guerra; que lo mesmo es decir armas que guerra. Prosupuesta, pues, esta verdad, que el fin de la guerra es la paz, y que en esto hace ventaja al fin de las letras, vengamos ahora a los trabajos del cuerpo del letrado y a los del profesor de las armas, y véase cuáles son mayores.
+De tal manera y por tan buenos términos iba prosiguiendo en su plática don Quijote, que obligó a que, por entonces, ninguno de los que escuchándole estaban
+le tuviese por loco; antes, como todos los más eran caballeros, a quien son anejas las armas, le escuchaban de muy buena gana; y él prosiguió diciendo:
+-Digo, pues, que los trabajos del estudiante son éstos: principalmente pobreza no porque todos sean pobres, sino por poner este caso en todo el extremo que pueda ser; y en haber dicho que padece pobreza me parece que no había que decir más de su mala ventura; porque quien es pobre no tiene cosa buena. Esta pobreza la padece por sus partes, ya en hambre, ya en frío, ya en desnudez, ya en todo junto; pero, con todo eso, no es tanta, que no coma, aunque sea un poco más tarde de lo que se usa; sea de las sobras de los ricos, que es la mayor miseria del estudiante este que entre ellos llaman andar a la sopa; y no les falta algún ajeno brasero o chimenea, que, si no calienta, a lo menos, entibie su frío, y, en fin, la noche duermen debajo de cubierta. No quiero llegar a otras menudencias, conviene a saber, de la falta de camisas y no sobra de zapatos, la raridad y poco pelo del vestido, ni aquel ahitarse con tanto gusto, cuando la buena suerte les depara algún banquete. Por este camino que he pintado, áspero y dificultoso, tropezando aquí, cayendo allí, levantándose acullá, tornando a caer acá, llegan al grado que desean; el cual alcanzado, a muchos hemos visto que, habiendo pasado por estas sirtes y por estas Scilas y Caribdis como llevados en vuelo de la favorable fortuna, digo que los hemos visto mandar y gobernar el mundo desde una silla, trocada su hambre en hartura, su frío en refrigerio, su desnudez en galas y su dormir en una estera en reposar en holandas y damascos, premio justamente merecido de su virtud. Pero contrapuestos y comparados sus trabajos con los del milite guerrero, se quedan muy atrás en todo, como ahora diré.
+Capítulo 38: Que trata del curioso discurso que hizo don Quijote de las armas y las letras
+Prosiguiendo don Quijote dijo:
+-Pues comenzamos en el estudiante por la pobreza y sus partes, veamos si es más rico el soldado. Y veremos que no hay ninguno más pobre en la misma pobreza, porque está atenido a la miseria de su paga, que viene o tarde o nunca, o a lo que garbeare por sus manos, con notable peligro de su vida y de su conciencia. Y a veces suele ser su desnudez tanta, que un coleto acuchillado le sirve de gala y de camisa, y en la mitad del invierno se suele reparar de las inclemencias del cielo, estando en la campaña rasa, con sólo el aliento de su boca, que, como sale de lugar vacío, tengo por averiguado que debe de salir frío, contra toda naturaleza. Pues esperad que espere que llegue la noche, para restaurarse de todas estas incomodidades en la cama que le aguarda, la cual, si no es por su culpa, jamás pecará de estrecha; que bien puede medir en la tierra los pies que quisiere, y revolverse en ella a su sabor, sin temor que se le encojan las sábanas. Lléguese, pues, a todo esto, el día y la hora de recebir el grado de su ejercicio; lléguese un día de batalla; que allí le pondrán la borla en la cabeza, hecha de hilas, para curarle algún balazo, que quizá le habrá pasado las sienes, o le dejará estropeado de brazo o pierna. Y cuando esto no suceda, sino que el cielo piadoso le guarde y conserve sano y vivo, podrá ser que se quede en la mesma pobreza que antes estaba, y que sea menester que suceda uno y otro rencuentro, una y otra batalla, y que de todas salga vencedor, para medrar en algo; pero estos milagros vense raras veces. Pero, decidme, señores, si habéis mirado en ello: ¿cuán menos son los premiados por la guerra que los que han perecido en ella? Sin duda, habéis de responder, que no tienen comparación, ni se pueden reducir a cuenta Los muertos, y que se podrán contar los premiados vivos con tres letras de guarismo. Todo esto es al revés en los
+letrados; porque de faldas, que no quiero decir de mangas, todos tienen en qué entretenerse; así que, aunque es mayor el trabajo del soldado, es mucho menor el premio.
+Pero a esto se puede responder que es más fácil premiar a dos mil letrados que a treinta mil soldados, porque a aquellos se premian con darles oficios que por fuerza se han de dar a los de su profesión, y a éstos no se pueden premiar sino con la mesma hacienda del señor a quien sirven; y esta imposibilidad fortifica más la razón que tengo. Pero dejemos esto aparte, que es laberinto de muy dificultosa salida, sino volvamos a la preeminencia de las armas contra las letras, materia que hasta ahora está por averiguar, según son las razones que cada una de su parte alega; y entre las que he dicho, dicen las letras que sin ellas no se podrían sustentar las armas, porque la guerra también tiene sus leyes y está sujeta a ellas, y que las leyes caen debajo de lo que son letras y letrados.
+A esto responden las armas que las leyes no se podrán sustentar sin ellas, porque con las armas se defienden las repúblicas, se conservan los reinos, se guardan las ciudades, se aseguran los caminos, se despejan los mares de cosarios, y, finalmente, si por ellas no fuese, las repúblicas, los reinos, las monarquías, las ciudades, los caminos de mar y tierra estarían sujetos al rigor y a la confusión que trae consigo la guerra el tiempo que dura y tiene licencia de usar de sus previlegios y de sus fuerzas. Y es razón averiguada que aquello que más cuesta se estima y debe de estimar en más. Alcanzar alguno a ser eminente en letras le cuesta tiempo, vigilias, hambre, desnudez, vaguidos de cabeza, indigestiones de estómago, y otras cosas a éstas adherentes, que, en parte, ya las tengo referidas; mas llegar uno por sus términos a ser buen soldado le cuesta todo lo que al estudiante en tanto mayor grado, que no tiene comparación, porque a cada paso está a pique de perder la vida. Y ¿qué temor de necesidad y pobreza puede llegar ni fatigar al estudiante, que llegue al que tiene un soldado, que, hallándose cercado en alguna fuerza, y estando de posta o guarda en algún rebellín o caballero, siente que los enemigos están minando hacia la parte donde él está, y no puede apartarse de allí por ningún caso, ni huir el peligro que de tan cerca le amenaza? Sólo lo que puede hacer es dar noticia a su capitán de lo que pasa, para que lo remedie con alguna contramina, y él estarse quedo, temiendo y esperando cuándo improvisamente ha de subir a las nubes sin alas, y bajar al profundo sin su voluntad. Y si éste parece pequeño peligro, veamos si le iguala o hace ventaja el de embestirse dos galeras por las proas en mitad del mar espacioso, las cuales enclavijadas y trabadas, no le queda al soldado más espacio del que concede dos pies de tabla del espolón; y, con todo esto, viendo que tiene delante de sí tantos ministros de la muerte que le amenazan cuantos cañones de artillería se asestan de la parte contraria, que no distan de su cuerpo una lanza, y viendo que al primer descuido de los pies iría a visitar los profundos senos de Neptuno, y, con todo esto, con intrépido corazón, llevado de la honra que le incita, se pone a ser blanco de tanta arcabucería, y procura pasar por tan estrecho paso al bajel contrario. Y lo que más es de admirar, que apenas uno ha caído donde no se podrá levantar hasta la fin del mundo, cuando otro ocupa su mesmo lugar; y si éste también cae en el mar, que como a enemigo le aguarda, otro y otro le sucede sin dar tiempo al tiempo de sus muertes: valentía y atrevimiento el mayor que se puede hallar en todos los trances de la guerra.
+¡Bien hayan aquellos benditos siglos que carecieron de la espantable furia de aquestos endemoniados instrumentos de la artillería¡ a cuyo inventor tengo para mí que en el infierno se le está dando el premio de su diabólica invención, con la cual dio causa que un infame y cobarde brazo quite la vida a un valeroso caballero, y que, sin saber cómo o por dónde, en la mitad del coraje y brío que enciende y anima a los valientes pechos, llega una desmandada bala, disparada de quien quizá huyó y se espantó del resplandor que hizo el fuego al disparar de la maldita
+máquina, y corta y acaba en un instante los pensamientos y vida de quien la merecía gozar luengos siglos. Y así, considerando esto, estoy por decir que en el alma me pesa de haber tomado este ejercicio de caballero andante en edad tan detestable como es esta en que ahora vivimos; porque aunque a mí ningún peligro me pone miedo, todavía me pone recelo pensar si la pólvora y el estaño me han de quitar la ocasión de hacerme famoso y conocido por el valor de mi brazo y filos de mi espada, por todo lo descubierto de la tierra. Pero haga el cielo lo que fuere servido; que tanto seré más estimado, si salgo con lo que pretendo, cuanto a mayores peligros me he puesto que se pusieron los caballeros andantes de los pasados siglos.
+Todo este largo preámbulo dijo don Quijote en tanto que los demás cenaban, olvidándose de llevar bocado a la boca, puesto que algunas veces le había dicho Sancho Panza que cenase; que después habría lugar para decir todo lo que quisiere. En los que escuchado le habían sobrevino nueva lástima, de ver que hombre que, al parecer, tenía buen entendimiento y buen discurso en todas las cosas que trataba, le hubiese perdido tan rematadamente en tratándole de su negra y pizmienta caballería. El cura le dijo que tenía mucha razón en todo cuanto había dicho en favor de las armas, y que él, aunque letrado y graduado, estaba de su mesmo parecer.
+Acabaron de cenar, levantaron los manteles, y en tanto que la ventera, su hija y Maritornes aderezaban el camaranchón de don Quijote de la Mancha, donde habían determinado que aquella noche las mujeres solas en él se recogiesen, don Fernando rogó al cautivo les contase el discurso de su vida, porque no podría ser sino que fuese peregrino y gustoso, según las muestras que había comenzado a dar, viniendo en compañía de Zoraida. A lo cual respondió el cautivo que de muy buena gana haría lo que se le mandaba, y que sólo temía que el cuento no había de ser tal, que les diese el gusto que él deseaba; pero que, con todo eso, por no faltar en obedecelle, le contaría. El cura y todos los demás se lo agradecieron, y de nuevo se lo rogaron; y él, viéndose rogar de tantos, dijo que no eran menester megos adonde el mandar tenía tanta fuerza.
+-Y así, estén vuestras mercedes atentos, y oirán un discurso verdadero a quien podría ser que no llegasen los mentirosos que con curioso y pensado artificio suelen componerse.
+Con esto que dijo hizo que todos se acomodasen y le prestasen un grande silencio; y él, viendo que ya callaban y esperaban lo que decir quisiese, con voz agradable y reposada comenzó a decir desta manera:
+Capítulo 39: Donde el cautivo cuenta su vida y sucesos
+-En un lugar de las montañas de León tuvo principio mi linaje, con quien fue más agradecida y liberal la naturaleza que la fortuna, aunque en la estrecheza de aquellos pueblos todavía alcanzaba mi padre fama de rico, y verdaderamente lo fuera si así se diera maña a conservar su hacienda como se la daba en gastalla. Y la condición que tenía de ser liberal y gastador le procedió de haber sido soldado los años de su juventud; que es escuela la soldadesca donde el mezquino se hace franco, y el franco, pródigo; y si algunos soldados se hallan miserables, son como monstruos que se ven raras veces. Pasaba mi padre los términos de la liberalidad y rayaba en los de ser pródigo, cosa que no le es de ningún provecho al hombre casado y que tiene hijos que le han de suceder en el nombre y en el ser. Los que mi padre tenía eran tres, todos varones y todos de edad de poder elegir estado. Viendo, pues, mi padre que, según él decía, no podía irse a la mano contra su condición, quiso privarse del instrumento y causa que le hacia gastador y dadivoso, que fue privarse de la hacienda, sin la cual el mismo Alejandro pareciera estrecho. Y así, llamándonos un día a todos tres a solas en un aposento, nos dijo unas razones semejantes a las que ahora diré:
+«-Hijos, para deciros que os quiero bien basta saber y decir que sois mis hijos; y para entender que os quiero mal basta saber que no me voy a la mano en lo que toca a conservar vuestra hacienda. Pues para que entendáis desde aquí adelante que os quiero como padre, y que no os quiero destruir como padrastro, quiero hacer una cosa con vosotros que ha muchos días que la tengo pensada y con madura consideración dispuesta. Vosotros estáis ya en edad de tomar estado, o, a lo menos, de elegir ejercicio, tal, que, cuando mayores, os honre y aproveche. Y lo que he pensado es hacer de mi hacienda cuatro partes: las tres os daré a vosotros,
+a cada uno lo que le tocare, sin exceder en cosa alguna, y con la otra me quedaré yo para vivir y sustentarme los días que el cielo fuere servido de darme de vida. Pero querría que después que cada uno tuviese en su poder la parte que le toca de su hacienda, siguiese uno de los caminos que le diré. Hay un refrán en nuestra España, a mi parecer, muy verdadero, como todos lo son, por ser sentencias breves sacadas de la luenga y discreta experiencia; y el que yo digo dice: «Iglesia, o mar, o casa real», como si más claramente dijera: «Quien quisiere valer y ser rico, siga, o la Iglesia, o navegue, ejercitando el arte de la mercancía, o entre a servir a los reyes en sus casas»; porque dicen: «Más vale migaja de rey que merced de señor». Digo esto porque querría, y es mi voluntad, que uno de vosotros siguiese las letras, el otro la mercancía, y el otro sirviese al rey en la guerra, pues es dificultoso entrar a servirle en su casa; que ya que la guerra no dé muchas riquezas, suele dar mucho valor y mucha fama. Dentro de ocho días os daré toda vuestra parte en dineros, sin defraudaros en un ardite, como lo veréis por la obra. Decidme ahora si queréis seguir mi parecer y consejo en lo que os he propuesto».
+Y mandándome a mi, por ser el mayor, que respondiese, después de haberle dicho que no se deshiciese de la hacienda, sino que gastase todo lo que fuese su voluntad, que nosotros éramos mozos para saber ganarla, vine a concluir en que cumpliría su gusto, y que el mío era seguir el ejercicio de las armas, sirviendo en él a Dios y a mi rey. El segundo hermano hizo los mesmos ofrecimientos, y escogió el irse a las Indias, llevando empleada la hacienda que le cupiese. El menor, y, a lo que yo creo, el más discreto, dijo que quería seguir la Iglesia, o irse a acabar sus comenzados estudios a Salamanca.
+Así como acabamos de concordarnos y escoger nuestros ejercicios, mi padre nos abrazó a todos, y con la brevedad que dijo puso por obra cuanto nos había prometido; y dando a cada uno su parte, que, a lo que se me acuerda, fueron cada tres mil ducados en dineros (porque un nuestro tío compró toda la hacienda y la pagó de contado, porque no saliese del tronco de la casa), en un mesmo día nos despedimos todos tres de nuestro buen padre, y en aquel mesmo, pareciéndome a mí ser inhumanidad que mi padre quedase viejo y con tan poca hacienda, hice con él que de mis tres mil tomase los dos mil ducados, porque a mí me bastaba el resto para acomodarme de lo que había menester un soldado. Mis dos hermanos, movidos de mi ejemplo, cada uno le dio mil ducados; de modo que a mi padre le quedaron cuatro mil en dineros, y más tres mil, que, a lo que parece, valía la hacienda que le cupo, que no quiso vender, sino quedarse con ella en raíces. Digo, en fin, que nos despedimos dél, y de aquel nuestro tío que he dicho, no sin mucho sentimiento y lágrimas de todos, encargándonos que les hiciésemos saber, todas las veces que hubiese comodidad para ello, de nuestros sucesos, prósperos o adversos. Prometímosselo y abrazándonos y echándonos su bendición, el uno tomó el viaje de Salamanca, el otro de Sevilla, y yo el de Alicante, adonde tuve nuevas que había una nave ginovesa que cargaba allí lana para Génova.
+Este hará veinte y dos años que salí de casa de mi padre, y en todos ellos, puesto que he escrito algunas cartas, no he sabido dél ni de mis hermanos nueva alguna; y lo que en este discurso de tiempo he pasado lo diré brevemente. Embarquéme en Alicante, llegué con próspero viaje a Génova, fui desde allí a Milán, donde me acomodé de armas y de algunas galas de soldado, de donde quise ir a sentar mi plaza al Piamonte; y estando ya de camino para Alejandría de la Palía, tuve nuevas que el gran duque de Alba pasaba a Flandes. Mudé propósito, fuíme con él, servíle en las jornadas que hizo, halléme en la muerte de los condes de Eguemón y de Hornos, alcancé a ser alférez de un famoso capitán de Guadalajara, llamado Diego de Urbina, y a cabo de algún tiempo que llegué a Flandes, se tuvo nuevas de la liga que la Santidad del Papa Pío Quinto, de felice recordación, había hecho con Venecia y con España, contra el enemigo común, que es el Turco; el cual en aquel mesmo
+tiempo había ganado con su armada la famosa isla de Chipre, que estaba debajo del dominio del Veneciano: pérdida lamentable y desdichada.
+Súpose cierto que venia por general desta liga el serenísimo don Juan de Austria, hermano natural de nuestro buen rey don Felipe; divulgóse el grandísimo aparato de guerra que se hacía; todo lo cual me incitó y conmovió el ánimo y el deseo de verme en la jornada que se esperaba; y aunque tenía barruntos, y casi promesas ciertas, de que en la primera ocasión que se ofreciese sería promovido a capitán, lo quise dejar todo y venirme, como me vine a Italia. Y quiso mi buena suerte que el señor don Juan de Austria acababa de llegar a Génova; que pasaba a Nápoles a juntarse con la armada de Venecia, como después lo hizo en Mecina. Digo, en fin, que yo me hallé en aquella felicísima jornada, ya hecho capitán de infantería, a cuyo honroso cargo me subió mi buena suerte, más que mis merecimientos. Y aquel día, que fue para la cristiandad tan dichoso, porque en él se desengañó el mundo y todas las naciones del error en que estaban, creyendo que los turcos eran invencibles por la mar, en aquel día, digo, donde quedó el orgullo y soberbia otomana quebrantada, entre tantos venturosos que allí hubo (porque más ventura tuvieron los cristianos que allí murieron que los que vivos y vencedores quedaron), yo sólo fui el desdichado; pues, en cambio de que pudiera esperar, si fuera en los romanos siglos, alguna naval corona, me vi aquella noche que siguió a tan famoso día con cadenas a los pies y esposas a las manos. Y fue desta suerte: que habiendo el Uchalí, rey de Argel, atrevido y venturoso cosario, embestido y rendido la capitana de Malta, que solos tres caballeros quedaron vivos en ella, y éstos mal heridos, acudió la capitana de Juan Andrea a socorrella, en la cual yo iba con mi compañía; y haciendo lo que debía en ocasión semejante, salté en la galera contraria, la cual desviándose de la que la había embestido, estorbó que mis soldados me siguiesen, y así, me hallé solo entre mis enemigos, a quien no pude resistir, por ser tantos; en fin me rindieron lleno de heridas. Y como ya habréis, señores, oído decir que el Uchalí se salvó con toda su escuadra, vine yo a quedar cautivo en su poder, y sólo fui el triste entre tantos alegres y el cautivo entre tantos libres; porque fueron quince mil cristianos los que aquel día alcanzaron la deseada libertad, que todos venían al remo en la turquesca armada.
+Lleváronme a Constantinopla, donde el Gran Turco Selim hizo general de la mar a mi amo, porque había hecho su deber en la batalla, habiendo llevado por muestra de su valor el estandarte de la religión de Malta. Halléme el segundo año, que fue el de setenta y dos, en Navarino bogando en la capitana de los tres fanales. Vi y noté la ocasión que allí se perdió de no coger en el puerto toda el armada turquesca; porque todos los leventes y genízaros que en ella venían tuvieron por cierto que les habían de embestir dentro del mesmo puerto, y tenían a punto su ropa y pasamaques, que son sus zapatos, para huirse luego por tierra, sin esperar ser combatidos; tanto era el miedo que habían cobrado a nuestra armada. Pero el cielo lo ordenó de otra manera, no por culpa ni descuido del general que a los nuestros regia, sino por los pecados de la cristiandad, y porque quiere y permite Dios que tengamos siempre verdugos que nos castiguen. En efeto, el Uchalí se recogió a Modón, que es una isla que esta junto a Navarino, y echando la gente en tierra, fortificó la boca del puerto, y estúvose quedo hasta que el señor don Juan se volvió. En este viaje se tomó la galera que se llamaba La Presa, de quien era capitán un hijo de aquel famoso cosario Barbarroja. Tomóla la capitana de Nápoles, llamada La Loba, regida por aquel rayo de la guerra, por el padre de los soldados, por aquel venturoso y jamás vencido capitán don Alvaro de Bazán, marqués de Santa Cruz. Y no quiero dejar de decir lo que sucedió en la presa de La Presa. Era tan cruel el hijo de Barbarroja, y trataba tan mal a sus cautivos, que así como los que venían al remo vieron que la galera Loba les iba entrando y que los alcanzaba, soltaron todos a un tiempo los remos, y asieron de su capitán, que estaba sobre el estanterol gritando que bogasen apriesa, y pasándole de banco en banco, de popa a proa, le dieron bocados, que a poco mas que pasó del árbol ya había pasado su
+ánima al infierno: tal era, como he dicho, la crueldad con que los trataba, y el odio que ellos le tenían. Volvimos a Constantinopla, y el año siguiente, que fue el de setenta y tres, se supo en ella como el señor don Juan había ganado a Túnez, y quitado aquel reino a los turcos, y puesto en posesión dél a Muley Hamet, cortando las esperanzas que de volver a reinar en él tenía Muley Hamida, el moro más cruel y más valiente que tuvo el mundo. Sintió mucho esta pérdida el Gran Turco, y, usando de la sagacidad que todos los de su casa tienen, hizo paz con venecianos, que mucho más que él la deseaban, y el año siguiente de setenta y cuatro acometió a la Goleta, y al fuerte que junto a Túnez había dejado medio levantado el señor don Juan. En todos estos trances andaba yo al remo, sin esperanza de libertad alguna; a lo menos, no esperaba tenerla por rescate, porque tenía determinado de no escribir las nuevas de mi desgracia a mi padre.
+Perdióse, en fin, la Goleta, perdióse el fuerte, sobre las cuales plazas hubo de soldados turcos pagados setenta y cinco mil, y de moros y alárabes de toda la África, más de cuatrocientos mil, acompañado este gran número de gente con tantas municiones y pertrechos de guerra, y con tantos gastadores, que con las manos y a puñados de tierra pudieran cubrir la Goleta y el fuerte. Perdióse primero la Goleta, tenida hasta entonces por inexpugnable, y no se perdió por culpa de sus defensores (los cuales hicieron en su defensa todo aquello que debían y podían), sino porque la experiencia mostró la facilidad con que se podían levantar trincheas en aquella desierta arena, porque a dos palmos se hallaba agua, y los turcos no la hallaron a dos varas; y así, con muchos sacos de arena levantaron las trincheas tan altas, que sobrepujaran las murallas de la fuerza; y tirándoles a caballero, ninguno podía parar, ni asistir a la defensa.
+Fue común opinión que no se habían de encerrar los nuestros en la Goleta, sino esperar en campaña al desembarcadero, y los que esto dicen hablan de lejos y con poca experiencia de casos semejantes; porque si en la Goleta y en el fuerte apenas había siete mil soldados, ¿cómo podía tan poco número, aunque más esforzados fuesen, salir a la campaña y quedar en las fuerzas, contra tanto como era el de los enemigos? Y ¿cómo es posible dejar de perderse fuerza que no es socorrida, y más cuando la cercan enemigos muchos y porfiados, y en su mesma tierra? Pero a muchos les pareció, y así me pareció a mi, que fue particular gracia y merced que el cielo hizo a España en permitir que se asolase aquella oficina y capa de maldades, y aquella gomia o esponja y polilla de la infinidad de dineros que allí sin provecho se gastaban, sin servir de otra cosa que de conservar la memoria de haberla ganado la felicísima del invictísimo Carlos V, como si fuera menester para hacerla eterna, como lo es y será, que aquellas piedras la sustentaran. Perdióse también el fuerte; pero fuéronle ganando los turcos palmo a palmo, porque los soldados que lo defendían pelearon tan valerosa y fuertemente, que pasaron de veinte y cinco mil enemigos los que mataron en veinte y dos asaltos generales que les dieron. Ninguno cautivaron sano de trescientos que quedaron vivos, señal cierta y clara de su esfuerzo y valor, y de lo bien que se habían defendido, y guardado sus plazas. Rindióse a partido un pequeño fuerte o torre que estaba en mitad del estaño, a cargo de don Juan Zanoguera, caballero valenciano y famoso soldado. Cautivaron a don Pedro Puertocarrero, general de la Goleta, el cual hizo cuanto fue posible por defender su fuerza; y sintió tanto el haberla perdido, que de pesar murió en el camino de Constantinopla, donde le llevaban cautivo. Cautivaron ansimesmo al general del fuerte, que se llamaba Gabrio Cervellón, caballero milanés, grande ingeniero y valentísimo soldado. Murieron en estas dos fuerzas muchas personas de cuenta, de las cuales fue una Pagán de Oria, caballero del hábito de San Juan, de condición generoso, como lo mostró la suma liberalidad que usó con su hermano el famoso Juan Andrea de Oria; y lo que más hizo lastimosa su muerte fue haber muerto a manos de unos alárabes de quien se fió, viendo ya perdido el fuerte, que se ofrecieron de llevarle en hábito de moro a Tabarca, que es un portezuelo o casa que en aquellas riberas tienen los ginoveses que se ejercitan
+en la pesquería del coral; los cuales alárabes le cortaron la cabeza y se la trujeron al general de la armada turquesca, el cual cumplió con ellos nuestro refrán castellano: «que aunque la traición aplace, el traidor se aborrece»; y así, se dice que mandó el general ahorcar a los que le trujeron el presente, porque no se le habían traído vivo.
+Entre los cristianos que en el fuerte se perdieron, fue uno llamado don Pedro de Aguilar, natural no sé de qué lugar del Andalucía, el cual había sido alférez en el fuerte, soldado de mucha cuenta y de raro entendimiento; especialmente tenía particular gracia en lo que llaman poesía. Dígolo porque su suerte le trujo a mi galera y a mi banco, y a ser esclavo de mi mesmo patrón; y antes que nos partiésemos de aquel puerto hizo este caballero dos sonetos a manera de epitafios, el uno a la Goleta y el otro al fuerte. Y en verdad que los tengo de decir, porque los sé de memoria y creo que antes causarán gusto que pesadumbre.
+En el punto que el cautivo nombré a don Pedro de Aguilar, don Fernando miró a sus camaradas, y todos tres se sonrieron; y cuando llegó a decir de los sonetos, dijo el uno:
+-Antes que vuestra merced pase adelante, le suplico me diga qué se hizo ese don Pedro de Aguilar que ha dicho.
+-Lo que sé es -respondió el cautivo- que al cabo de dos años que estuvo en Constantinopla, se huyó en traje de arnaúte con un griego espía, y no sé si vino en libertad, puesto que creo que si, porque de allí a un año vi yo al griego en Constantinopla y no le pude preguntar el suceso de aquel viaje.
+-Pues lo fue -respondió el caballero-, porque ese don Pedro es mi hermano, y está ahora en nuestro lugar, bueno y rico, casado y con tres hijos.
+-Gracias sean dadas a Dios -dijo el cautivo- por tantas mercedes como le hizo; porque no hay en la tierra, conforme mi parecer, contento que se iguale a alcanzar la libertad perdida.
+-Y más -replicó el caballero-, que yo sé los sonetos que mi hermano hizo. -Digalos, pues, vuestra merced -dijo el cautivo-, que los sabrá decir mejor que yo. -Que me place -respondió el caballero-; y el de la Goleta decía así:
+Capítulo 40: Donde se prosigue la historia del cautivo
+Soneto
+Almas dichosas que del mortal velo
+libres y exentas, por el bien que obrastes, desde la baja tierra os levantastes,
+a lo más alto y lo mejor del cielo,
+y, ardiendo en ira y en honroso celo,
+de los cuernos la fuerza ejercitastes,
+que en propia y sangre ajena colorastes el mar vecino y arenoso suelo;
+primero que el valor faltó la vida
+en los cansados brazos, que, muriendo, con ser vencidos, llevan la vitoria.
+Y esta vuestra mortal, triste caída
+entre el muro y el hierro, os va adquiriendo
+fama que el mundo os da, y el cielo gloria.
+-Desa mesma manera le sé yo -dijo el cautivo.
+-Pues el del fuerte, si mal no me acuerdo –dijo el caballero-, dice así:
+Soneto
+De entre esta tierra estéril, derribada,
+destos terrones por el suelo echados,
+las almas santas de tres mil soldados
+subieron vivas a mejor morada,
+siendo primero, en vano, ejercitada
+la fuerza de sus brazos esforzados,
+hasta que, al fin, de pocos y cansados,
+dieron la vida al filo de la espada.
+Y éste es el suelo que continuo ha sido
+de mil memorias lamentables lleno
+en los pasados siglos y presentes.
+Mas no más justas de su duro seno
+habrán al claro cielo almas subido,
+ni aun él sostuvo cuernos tan valientes.
+No parecieron mal los sonetos, y el cautivo se alegré con las nuevas que de su camarada le dieron, y, prosiguiendo su cuento, dijo:
+-Rendidos, pues, la Goleta y el fuerte, los turcos dieron orden en desmantelar la Goleta (porque el fuerte quedó tal, que no hubo qué poner por tierra), y para hacerlo con más brevedad y menos trabajo, la minaron por tres partes; pero con ninguna se pudo volar lo que parecía menos fuerte, que eran las murallas viejas, y todo aquello que había quedado en pie de la fortificación nueva que había hecho el Fratín, con mucha facilidad vino a tierra. En resolución, la armada volvió a Constantinopla triunfante y vencedora, y de allí a pocos meses murió mi amo el Uchalí, al cual llamaban Uchalí Fartax, que quiere decir en lengua turquesca el renegado tiñoso, porque lo era, y es costumbre entre los turcos ponerse nombres de alguna falta que tengan, o de alguna virtud que en ellos haya; y esto es porque no hay entre ellos sino cuatro apellidos de linajes que decienden de la casa
+Otomana, y los demás, como tengo dicho, toman nombre y apellido ya de las tachas del cuerno, y ya de las virtudes del ánimo. Y este Tiñoso bogó el remo, siendo esclavo del Gran Señor, catorce años, y a mas de los treinta y cuatro de su edad renegó, de despecho de que un turco, estando al remo, le dio un bofetón, y por poderse vengar dejó su fe; y fue tanto su valor, que, sin subir por los torpes medios y caminos que los más privados del Gran Turco suben, vino a ser rey de Argel, y después, a ser general de la mar, que es el tercero cargo que hay en aquel señorío. Era calabrés de nación, y moralmente fue hombre de bien, y trataba con mucha humanidad a sus cautivos, que llego a tener tres mil, los cuales, después de su muerte, se repartieron, como él lo dejó en su testamento, entre el Gran Señor (que también es hijo heredero de cuantos mueren y entra a la parte con los más hijos que deja el difunto) y entre sus renegados; y yo cupe a un renegado veneciano que, siendo grumete de una nave, le cautivó el Uchalí, y le quiso tanto, que fue uno de los más regalados garzones suyos, y él vino a ser el más cruel renegado que jamás se ha visto. Llamábase Azán Agá, y llegó a ser muy rico, y a ser rey de Argel; con el cual yo vine de Constantinopla, algo contento, por estar tan cerca de España, no porque pensase escribir a nadie el desdichado suceso mío, sino por ver si me era más favorable la suerte en Argel que en Constantinopla, donde ya había probado mil maneras de huirme, y ninguna tuvo sazón ni ventura; y pensaba en Argel buscar otros medios de alcanzar lo que tanto deseaba, porque jamás me desamparó la esperanza de tener libertad; y cuando en lo que fabricaba, pensaba y ponía por obra no correspondía el suceso a la intención, luego, sin abandonarme, fingía y buscaba otra esperanza que me sustentase, aunque fuese débil y flaca. Con esto entretenía la vida, encerrado en una prisión o casa que los turcos llaman baño, donde encierran los cautivos cristianos, así los que son del rey como de algunos particulares, y los que llaman del almacén, que es como decir cautivos del concejo, que sirven a la ciudad en las obras públicas que hace y en otros oficios, y estos tales cautivos tienen muy dificultosa su libertad; que, como son del común y no tienen amo particular, no hay con quien tratar su rescate, aunque le tengan. En estos baños, como tengo dicho, suelen llevar a sus cautivos algunos particulares del pueblo, principalmente cuando son de rescate, porque allí los tienen holgados y seguros hasta que venga su rescate. También los cautivos del rey que son de rescate no salen al trabajo con la demás chusma, si no es cuando se tarda su rescate; que entonces, por hacerles que escriban por él con más ahínco, les hacen trabajar y ir por leña con los demás, que es un no pequeño trabajo.
+Yo, pues, era uno de los de rescate; que como se supo que era capitán, puesto que dije mi poca posibilidad y falta de hacienda, no aprovechó nada para que no me pusiesen en el número de los caballeros y gente de rescate. Pusiéronme una cadena, más por señal de rescate que por guardarme con ella, y así pasaba la vida en aquel baño, con otros muchos caballeros y gente principal, señalados y tenidos por de rescate; y aunque la hambre y desnudez pudiera fatigarnos a veces, y aun casi siempre, ninguna cosa nos fatigaba tanto como oír y ver a cada paso las jamás vistas ni oídas crueldades que mi amo usaba con los cristianos. Cada día ahorcaba el suyo, empalaba a éste, desorejaba a aquél; y esto, por tan poca ocasión, y tan sin ella, que los turcos conocían que lo hacia no más de por hacerlo, y por ser natural condición suya ser homicida de todo el género humano. Solo libró bien con él un soldado español llamado tal de Saavedra, el cual, con haber hecho cosas que quedarán en la memoria de aquellas gentes por muchos años, y todas por alcanzar libertad, jamás le dio palo, ni se lo mandó dar, ni le dijo mala palabra; y por la menor cosa de muchos que hizo temíamos todos que había de ser empalado, y así lo temió él más de una vez; y si no fuera porque el tiempo no da lugar, yo dijera ahora algo de lo que este soldado hizo, que fuera parte para entreteneros y admiraros harto mejor que con el cuento de mi historia.
+Digo, pues, que encima del patio de nuestra prisión caían las ventanas de la casa de un moro rico y principal, las cuales, como de ordinario son las de los moros, más
+eran agujeros que ventanas, y aun éstas se cubrían con celosías muy espesas y apretadas. Acaeció, pues, que un día, estando en un terrado de nuestra prisión con otros tres compañeros, haciendo pruebas de saltar con las cadenas, por entretener el tiempo, estando solos, porque todos los demás cristianos habían salido a trabajar, alcé acaso los ojos y vi que por aquellas cerradas ventanillas que he dicho parecía una caña, y al remate della puesto un lienzo atado, y la caña se estaba blandeando y moviéndose, casi como si hiciera señas que llegásemos a tomarla. Miramos en ello, y uno de los que conmigo estaban fue a ponerse debajo de la caña, por ver si la soltaban, o lo que hacían; pero así como llegó, alzaron la caña y la movieron a los dos lados, como si dijeran no con la cabeza. Volvióse el cristiano, y tornáronla a bajar y hacer los mesmos movimientos que primero. Fue otro de mis compañeros, y sucedióle lo mesmo que al primero. Finalmente, fue el tercero, y avínole lo que al primero y al segundo. Viendo yo esto, no quise dejar de probar la suerte, y así como llegué a ponerme debajo de la caña, la dejaron caer, y dio a mis pies dentro del baño. Acudí luego a desatar el lienzo, en el cual vi un nudo, y dentro dél venían diez cianís, que son unas monedas de oro bajo que usan los moros, que cada una vale diez reales de los nuestros. Si me holgué con el hallazgo no hay para qué decirlo, pues fue tanto el contento como la admiración de pensar de dónde podía venimos aquel bien, especialmente a mi, pues las muestras de no haber querido soltar la caña sino a mí claro decían que a mi se hacia la merced. Tomé mi buen dinero, quebré la caña, volvíme al terradillo, miré la ventana, y vi que por ella salía una muy blanca mano; que la abrían y cerraban muy apriesa. Con esto entendimos o imaginamos que alguna mujer que en aquella casa vivía nos debía de haber hecho aquel beneficio; y en señal de que lo agradecíamos hecimos zalemas a uso de moros, inclinando la cabeza, doblando el cuerpo y poniendo los brazos sobre el pecho. De allí a poco sacaron por la mesma ventana una pequeña cruz hecha de cañas, y luego la volvieron a entrar. Esta señal nos confirmé en que alguna cristiana debía de estar cautiva en aquella casa, y era la que el bien nos hacía; pero la blancura de la mano, y las ajorcas que en ella vimos, nos deshizo este pensamiento, puesto que imaginamos que debía de ser cristiana renegada, a quien de ordinario suelen tomar por legítimas mujeres sus mesmos amos, y aun lo tienen a ventura, porque las estiman en más que las de su nación. En todos nuestros discursos dimos muy lejos de la verdad del caso, y así, todo nuestro entretenimiento desde allí adelante era mirar y tener por norte a la ventana donde nos había aparecido la estrella de la caña; pero bien se pasaron quince días en que no la vimos, ni la mano tampoco, ni otra señal alguna. Y aunque en este tiempo procuramos con toda solicitud saber quién en aquella casa vivía, y si había en ella alguna cristiana renegada, jamás hubo quien nos dijese otra cosa sino que allí vivía un moro principal y rico, llamado Agi Morato, alcaide que había sido de la Pata, que es oficio entre ellos de mucha calidad; mas cuando más descuidados estábamos de que por allí habían de llover más cianís, vimos a deshora parecer la caña, y otro lienzo en ella, con otro nudo más crecido; y esto fue a tiempo que estaba el baño, como la vez pasada, solo y sin gente. Hecimos la acostumbrada prueba, yendo cada uno primero que yo, de los mismos tres que estábamos; pero a ninguno se rindió la caña sino a mi, porque en llegando yo, la dejaron caer. Desaté el nudo y hallé cuarenta escudos de oro españoles y un papel escrito en arábigo, y al cabo de lo escrito, hecha una grande cruz. Besé la cruz, tomé los escudos, volvíme al terrado, hecimos todos nuestras zalemas, torné a parecer la mano, hice señas que leería el papel, cerraron la ventana.
+Quedamos todos confusos y alegres con lo sucedido; y como ninguno de nosotros no entendía el arábigo, era grande el deseo que teníamos de entender lo que el papel contenía, y mayor la dificultad de buscar quien lo leyese. En fin, yo me determiné de fiarme de un renegado, natural de Murcia, que se había dado por grande amigo mío, y puesto prendas entre los dos, que le obligaban a guardar el secreto que le encargase; porque suelen algunos renegados, cuando tienen intención de volverse a tierra de cristianos, traer consigo algunas firmas de cautivos
+principales, en que dan fe, en la forma que pueden, cómo el tal renegado es hombre de bien, y que siempre ha hecho bien a cristianos, y que lleva deseo de huirse en la primera ocasión que se le ofrezca. Algunos hay que procuran estas fees con buena intención; otros se sirven dellas acaso y de industria; que viniendo a robar a tierra de cristianos, si a dicha se pierden o los cautivan, sacan sus firmas y dicen que por aquellos papeles se verá el propósito con que venían, el cual era de quedarse en tierra de cristianos, y que por eso venían en corso con los demás turcos. Con esto se escapan de aquel primer ímpetu, y se reconcilian con la Iglesia, sin que se les haga daño; y cuando veen la suya, se vuelven a Berbería a ser lo que antes eran. Otros hay que usan destos papeles, y los procuran con buen intento, y se quedan en tierra de cristianos. Pues uno de los renegados que he dicho era este mi amigo, el cual tenía firmas de todas nuestras camaradas, donde le acreditábamos cuanto era posible; y si los moros le hallaran estos papeles, le quemaran vivo. Supe que sabía muy bien arábigo, y no solamente hablarlo, sino escribirlo; pero antes que del todo me declarase con él, le dije que me leyese aquel papel, que acaso me había hallado en un agujero de mi rancho. Abriéle, y estuvo un buen espacio mirándole y construyéndole, murmurando entre los dientes. Preguntéle sí lo entendía; díjome que muy bien, y que si quería que me lo declarase palabra por palabra, que le diese tinta y pluma, porque mejor lo hiciese. Dímosle luego lo que pedía, y él poco a poco lo fue traduciendo, y en acabando, dijo:
+-Todo lo que va aquí en romance sin faltar letra, es lo que contiene este papel morisco, y hase de advertir que adonde dice Lela Marién quiere decir Nuestra Señora la Virgen María.
+Leimos el papel, y decía así:
+Cuando yo era niña, tenía mi padre una esclava, la cual en mi lengua me mostró la zalá crístianesca, y Me dijo muchas cosas de Lela Marién. La cristiana murió, y yo sé que no fue al fuego, sino con Alá porque después la vi dos veces, y me dijo que me fuese a tierra de cristianos a ver a Lela Marién, que me quería mucho. No sé yo cómo vaya: muchos cristianos he visto por esta ventana, y ninguno me ha parecido caballero como tú. Yo soy muy hermosa y muchacha, y tengo muchos dineros que llevar conmigo; mira tú si puedes hacer cómo nos vamos, y serás allá mi marido, si quisieres, y si no quisieres, no se me dará nada; que Lela Marién me dará con quien me case. Yo escribí esto; mira a quién lo das a leer: no te fíes de ningún moro, porque son todos marfuces. Desto tengo mucha pena; que quisiera que no te descubrieras a nadie; porque si mi padre lo sabe, me echará luego en un pozo, y me cubrirá de piedras. En la caña pondré un hilo: ata allí la respuesta; y si no tienes quien te escriba arábigo, dímelo por señas; que Lela Marién hará que te entienda. Ella y Alá te guarden, y esa cruz que yo beso muchas veces; que así me lo mandó la cautiva.
+Mirad, señores, si era razón que las razones deste papel nos admirasen y alegrasen; y así, lo uno y lo otro fue de manera, que el renegado entendió que no acaso se había hallado aquel papel, sino que real mente a alguno de nosotros se había escrito; y así, nos rogó que si era verdad lo que sospechaba, que nos fiásemos dél y se lo dijésemos, que él aventuraría su vida por nuestra libertad. Y diciendo esto, sacó del pecho un crucifijo de metal, y con muchas lágrimas juró por el Dios que aquella imagen representaba, en quien él, aunque pecador y malo, bien y fielmente creía, de guardarnos lealtad y secreto en todo cuanto quisiésemos descubrirle, porque le parecía, y casi adevinaba, que por medio de aquella que aquel papel había escrito había él y todos nosotros de tener libertad, y verse él en lo que tanto deseaba, que era reducirse al gremio de la santa Iglesia su madre, de quien como miembro podrido estaba dividido y apartado, por su ignorancia y pecado.
+Con tantas lágrimas y con muestras de tanto arrepentimiento dijo esto el renegado, que todos de un mesmo parecer consentimos y venimos en declararle la verdad del caso; y así, le dimos cuenta de todo, sin encubrirle nada. Mostrámosle la ventanilla por donde parecía la caña, y él marcó desde allí la casa, y quedó de tener especial y gran cuidado de informarse quién en ella vivía. Acordamos ansimesmo que seria bien responder al billete de la mora; y como teníamos quien lo supiese hacer, luego al momento el renegado escribió las razones que yo le fui notando, que puntualmente fueron las que diré, porque de todos los puntos sustanciales que en este suceso me acontecieron, ninguno se me ha ido de la memoria, ni aun se me irá en tanto que tuviere vida. En efeto, lo que a la mora se le respondió, fue esto:
+El verdadero Alá te guarde, señora mía, y aquella bendita Marién, que es la verdadera madre de Dios, y es la que te ha puesto en corazón que te vayas a tierra de cristianos, porque te quiere bien. Ruégale tú que se sirva de darte a entender cómo podrás poner por obra lo que te manda; que ella es tan buena, que sí hará. De mi parte y de la de todos estos cristianos que están conmigo te ofrezco de hacer por ti todo lo que pudiéremos, hasta morir. No dejes de escribirme y avisarme lo que pensares hacer, que yo te responderé siempre; que el grande Alá nos ha dado un cristiano cautivo que sabe hablar y escribir tu lengua tan bien como lo verás por este papel. Así que, sin tener miedo, nos puedes avisar de todo lo que quisieres. A lo que dices que si fueres a tierra de cristianos, que has de ser mi mujer, yo te lo prometo como buen cristiano; y sabe que los cristianos cumplen lo que prometen mejor que los moros. Alá y Marién su madre sean en tu guarda, señora mía.
+Escrito y cerrado este papel, aguardé dos días a que estuviese el baño solo, como solía, y luego salí al paso acostumbrado del terradillo, por ver si la caña aparecía, que no tardó mucho en asomar. Así como la vi, aunque no podía ver quién la ponía, mostré el papel, como dando a entender que pusiesen el hilo; pero ya venia puesto en la caña, al cual até el papel, y de allí a poco tomó a parecer nuestra estrella, con la blanca bandera de paz del atadillo. Dejáronla caer, y alcé yo, y hallé en el paño, en toda suerte de moneda de plata y de oro, más de cincuenta escudos, los cuales cincuenta veces más doblaron nuestro contento, y confirmaron la esperanza de tener libertad. Aquella misma noche volvió nuestro renegado, y nos dijo que había sabido que en aquella casa vivía el mesmo moro que a nosotros nos habían dicho, que se llamaba Agi Morato, riquísimo por todo extremo, el cual tenía una sola hija, heredera de toda su hacienda, y que era común opinión en toda la ciudad ser la más hermosa mujer de la Berbería; y que muchos de los virreyes que allí venían la habían pedido por mujer, y que ella nunca se había querido casar, y que también supo que tuvo una cristiana cautiva, que ya se había muerto; todo lo cual concertaba con lo que venia en el papel.
+Entramos luego en consejo con el renegado en qué orden se tendría para sacar a la mora y venirnos todos a tierra de cristianos, y, en fin, se acordó por entonces que esperásemos al aviso segundo de Zoraida, que así se llamaba la que ahora quiere llamarse Maria; porque bien vimos que ella y no otra alguna era la que había de dar medio a todas aquellas dificultades. Después que quedamos en esto, dijo el renegado que no tuviésemos pena; que él perdería la vida, o nos pondría en libertad. Cuatro días estuvo el baño con gente, que fue ocasión que cuatro días tardase en parecer la caña; al cabo de los cuales, en la acostumbrada soledad del baño, pareció con el lienzo tan preñado, que un felicísimo parto prometía. Inclinóse a mi la caña y el lienzo; hallé en él otro papel y cien escudos de oro, sin otra moneda alguna. Estaba allí el renegado; dimosle a leer el papel dentro de nuestro rancho, el cual dijo que así decía:
+Yo no sé, mi señor, cómo dar orden que nos Vamos a España, ni Lela Marién me lo ha dicho, aunque yo se lo he preguntado; lo que se podrá hacer es que yo os daré por esta ventana muchísimos dineros de oro; rescataos vos con ellos, y vuestros
+amigos, y vaya uno en tierra de cristianos, y compre allá una barca, y vuelva por los demás; y a mí me hallaran en el jardín de mi padre, que está a la puerta de Babazón junto a la marina, donde tengo de estar todo este verano con mi padre y con mis criados. De allí, de noche, me podréis sacar sin miedo, y llevarme a la barca; y mira que has de ser mi marido, porque si no, yo pediré a Marién que te castigue. Si no te fías de nadie que vaya por la barca, rescátate tu y ve; que ya sé que volverás mejor que otro, pues eres caballero y cristiano. Procura saber el jardín, y cuando te pasees por ahí sabré que está solo el baño, y te daré mucho dinero. Alá te guarde, señor mío.
+Esto decía y contenía el segundo papel; lo cual visto por todos, cada uno se ofreció a querer ser el rescatado, y prometió de ir y volver con toda puntualidad, y también yo me ofrecí a lo mismo; a todo lo cual se opuso el renegado, diciendo que en ninguna manera consentiría que ninguno saliese de libertad hasta que fuesen todos juntos, porque la experiencia le había mostrado cuán mal cumplían los libres las palabras que daban en el cautiverio; porque muchas vocee hablan usado de aquel remedio algunos principales cautivos, recatando a uno que fuese a Valencia o Mallorca con dineros para poder armar una barca y volver por los que le habían rescatado, y nunca habían vuelto; porque, decía, la libertad alcanzada y el temor de no volver a perderla les borraba de la memoria todas las obligaciones del mundo. Y en confirmación de la verdad que nos decía, nos contó brevemente un caso que casi en aquella mesma sazón había acaecido a unos caballeros cristianos, el más extraño que jamás sucedió en aquellas partes, donde a cada paso suceden cosas de grande espanto y de admiración. En efeto, él vino a decir que lo que se podía y debía hacer era que el dinero que se había de dar para rescatar al cristiano, que se le diese a él para comprar allí en Argel una barca, con achaque de hacerse mercader y tratante en Tetuán y en aquella costa; y que siendo él señor de la barca, fácilmente se daría traza para sacarlos del baño y embarcarlos a todos. Cuanto más que si la mora, como ella decía, daba dineros para rescatarlos a todos, que estando libres, era facilísima cosa aun embarcarse en la mitad del día; y que la dificultad que se ofrecía mayor era que los moros no consienten que renegado alguno compre ni tenga barca, si no es bajel grande para ir en corso, porque se temen que el que compra barca, principalmente si es español, no la quiere sino para irse a tierra de cristianos; pero que él facilitaría este inconveniente con hacer que un moro tagarino fuese a la parte con él en la compañía de la barca y en la ganancia de las mercancías, y con esta sombra él vendría a ser señor de la barca, con que daba por acabado todo lo demás. Y puesto que a mí y a mis camaradas nos había parecido mejor lo de enviar por la barca a Mallorca, como la mora decía, no osamos contradecirle, temerosos que si no hacíamos lo que él decía, nos había de descubrir, y poner a peligro de perder las vidas, si descubriese el trato de Zoraida, por cuya vida diéramos todos las nuestras; y así determinamos de ponernos en las manos de Dios y en las del renegado, y en aquel mismo punto se le respondió a Zoraida diciéndole que haríamos todo cuanto nos aconsejaba, porque lo había advertido tan bien como si Lela Marién se lo hubiera dicho, y que en ella sola estaba dilatar aquel negocio, o ponello luego por obra.
+Ofrecíle de nuevo de ser su esposo, y con esto, otro día que acaeció a estar solo el baño, en diversas veces, con la caña y el paño, nos dio dos mil escudos de oro y un papel donde decía que el primer jumá, que es el viernes, se iba al jardín de su padre, y que antes que se fuese nos daría más dinero; y que si aquello no bastase, que se lo avisásemos, que nos daría cuanto le pidiésemos, que su padre tenía tantos, que no lo echaría menos, cuanto más que ella tenía las llaves de todo. Dimos luego quinientos escudos al renegado para comprar la barca; con ochocientos me rescaté yo, dando el dinero a un mercader valenciano que a la sazón se hallaba en Argel, el cual me rescató del rey, tomándome sobre su palabra, dándola de que con el primer bajel que viniese de Valencia pagaría mi rescate; porque si luego diera el dinero, fuera dar sospechas al rey que había muchos días
+que mi rescate estaba en Argel, y que el mercader, por sus granjerías, lo había callado. Finalmente, mi amo era tan caviloso, que en ninguna manera me atreví a que luego se desembolsase el dinero.
+El jueves antes del viernes que la hermosa Zoraida se había de ir al jardín nos dio otros mil escudos y nos avisó de su partida, rogándome que si me rescatase, supiese luego el jardín de su padre, y que en todo caso buscase ocasión de ir allá y verla. Respondíle en breves palabras que así lo haría, y que tuviese cuidado de encomendarnos a Lela Marién con todas aquellas oraciones que la cautiva le había enseñado. Hecho esto, dieron orden en que los tres compañeros nuestros se rescatasen, por facilitar la salida del baño, y porque viéndome a mí rescatado, y a ellos no, pues había dinero, no se alborotasen y les persuadiese el diablo que hiciesen alguna cosa en perjuicio de Zoraida; que puesto que el ser ellos quien eran me podía asegurar deste temor, con todo eso, no quise poner el negocio en aventura, y así, los hice rescatar por la misma orden que yo me rescaté, entregando todo el dinero al mercader, para que con certeza y seguridad pudiese hacer la fianza; al cual nunca descubrimos nuestro trato y secreto, por el peligro que había.
+Capítulo 41: Donde todavía prosigue el cautivo su suceso
+No se pasaron quince días, cuando ya nuestro renegado tenía comprada una muy buena barca, capaz de más de treinta personas; y para asegurar su hecho y dalle color, quiso hacer, como hizo, un viaje a un lugar que se llamaba Sargel, que está treinta leguas de Argel hacia la parte de Orán, en el cual hay mucha contratación de higos pasos. Dos o tres veces hizo este viaje, en compañía del tagarino que había dicho. Tagarinos llaman en Berbería a los moros de Aragón, y a los de Granada, mudéjares, y en el reino de Fez llaman a los mudéjares elches, los cuales son la gente de quien aquel rey más se sirve en la guerra. Digo, pues, que cada vez que pasaba con su barca daba fondo en una caleta que estaba no dos tiros de ballesta del jardín donde Zoraida esperaba; y allí, muy de propósito, se ponía el renegado con los morillos que bogaban el remo, o ya a hacer la zalá, o a como por ensayarse de burlas a lo que pensaba hacer de veras; y así, se iba al jardín de Zoraida, y le pedía fruta, y su padre se la daba sin conocelle; y, aunque él quisiera hablar a Zoraida, como él después me dijo, y decille que él era el que por orden mía la había de llevar a tierra de cristianos, que estuviese contenta y segura, nunca le fue posible, porque las moras no se dejan ver de ningún moro ni turco, si no es que su marido o su padre se lo manden. De cristianos cautivos se dejan tratar y comunicar, aún más de aquello que sería razonable; y a mi me hubiera pesado que él la hubiera hablado, que quizá la alborotara, viendo que su negocio andaba en boca de renegados. Pero Dios, que lo ordenaba de otra manera, no dio lugar al buen deseo que nuestro renegado tenía; el cual, viendo cuán seguramente iba y venia a Sargel, y que daba fondo cuando, y como, y adonde quería, y que el tagarino su compañero no tenía más voluntad de lo que la suya ordenaba, y que yo estaba ya rescatado, y que sólo faltaba buscar algunos cristianos que bogasen el remo, me dijo que mirase yo cuáles quería traer conmigo, fuera de los rescatados,
+y que los tuviese hablados para el primer viernes, donde tenía determinado que fuese nuestra partida. Viendo esto, hablé a doce españoles, todos valientes hombres del remo, y de aquellos que más libremente podían salir de la ciudad; y no fue poco hallar tantos en aquella coyuntura, porque estaban veinte bajeles en corso, y se habían llevado toda la gente del remo, y éstos no se hallaran, si no fuera que su amo se quedó aquel verano sin ir en corso, a acabar una galeota que tenía en astillero; a los cuales no les dije otra cosa sino que el primer viernes en la tarde se saliesen uno a uno, disimuladamente, y se fuesen la vuelta del jardín de Agi Morato, y que allí me aguardasen hasta que yo fuese.
+A cada uno di este aviso de por sí, con orden que aunque allí viesen a otros cristianos, no les dijesen sino que yo les había mandado esperar en aquel lugar. Hecha esta diligencia, me faltaba hacer otra, que era la que más me convenía, y era la de avisar a Zoraida en el punto que estaban los negocios, para que estuviese apercebida y sobre aviso, que no se sobresaltase si de improviso la asaltásemos antes del tiempo que ella podía imaginar que la barca de cristianos podía volver. Y así determiné de ir al jardín y ver si podría hablarla; y, con ocasión de coger algunas yerbas, un día, antes de mi partida, fui allá, y la primera persona con quien encontré fue con su padre, el cual me dijo en lengua que en toda la Berbería, y aun en Constantinopla, se halla entre cautivos y moros, que ni es morisca, ni castellana, ni de otra nación alguna, sino una mezcla de todas las lenguas, con la cual todos nos entendemos; digo, pues, que en esta manera de lenguaje me preguntó en qué buscaba en aquel su jardín, y de quién era.
+Respondile que era esclavo de Arnaúte Mamí (y esto, porque sabía yo por muy cierto que era un grandísimo amigo suyo), y que buscaba de todas yerbas, para hacer ensalada.
+Preguntóme, por el consiguiente, si era hombre de rescate o no, y que cuánto pedía mi amo por mí.
+Estando en todas estas preguntas y respuestas, salió de la casa del jardín la bella Zoraida, la cual ya había mucho que me había visto; y como las moras en ninguna manera hacen melindre de mostrarse a los cristianos, ni tampoco se esquivan, como ya he dicho, no se le dio nada de venir adonde su padre conmigo estaba; antes, luego cuando su padre vio que venía, y de espacio, la llamó y mandó que llegase.
+Demasiada cosa seria decir yo agora la mucha hermosura, la gentileza, el gallardo y rico adorno con que mi querida Zoraida se mostró a mis ojos; sólo diré que más perlas pendían de su hermosísimo cuello, orejas y cabellos que cabellos tenía en la cabeza. En las gargantas de los sus pies, que descubiertas, a su usanza, traía, traía dos carcajes (que así se llamaban las manillas o ajorcas de los pies en morisco) de purísimo oro, con tantos diamantes engastados, que ella me dijo después que su padre los estimaba en diez mil doblas, y las que traía en las muñecas de las manos valían otro tanto. Las perlas eran en gran cantidad y muy buenas, porque la mayor gala y bizarría de las moras es adornarse de ricas perlas y aljófar, y así hay más perlas y aljófar entre moros que entre todas las demás naciones; y el padre de Zoraida tenía fama de tener muchas y de las mejores que en Argel había, y de tener asimismo más de docientos mil escudos españoles, de todo lo cual era señora ésta que ahora lo es mía. Si con todo este adorno podía venir entonces hermosa, o no, por las reliquias que le han quedado en tantos trabajos se podrá conjeturar cuál debía de ser en las prosperidades. Porque ya se sabe que la hermosura de algunas mujeres tiene días y sazones, y requiere accidentes para disminuirse o acrecentarse; y es natural cosa que las pasiones del ánimo la levanten o abajen, puesto que las más veces la destruyen.
+Digo, en fin, que entonces llegó en todo extremo aderezada y en todo extremo hermosa, o, a lo menos, a mi me pareció serlo la más que hasta entonces había visto; y con esto, viendo las obligaciones en que me había puesto, me parecía que tenía delante de mi una deidad del cielo, venida a la tierra para mi gusto y para mi remedio. Así como ella llegó, le dijo su padre en su lengua cómo yo era cautivo de su amigo Arnaúte Mamí, y que venia a buscar ensalada. Ella tomó la mano, y en aquella mezcla de lenguas que tengo dicho me preguntó si era caballero, y qué era la causa que no me rescataba. Yo le respondí que ya estaba rescatado, y que en el precio podía echar de ver en lo que mi amo me estimaba, pues había dado por mi mil y quinientos zoltanís. A lo cual ella respondió:
+-En verdad que si tú fueras de mi padre, que yo hiciera que no te diera él por otros dos tantos; porque vosotros, cristianos, siempre mentís en cuanto decís, y os hacéis pobres por engañar a los moros.
+-Bien podría ser eso, señora -le respondí-; mas en verdad que yo la he tratado con mi amo, y la trato y la trataré con cuantas personas hay en el mundo.
+-Y ¿cuándo te vas? -dijo Zoraida.
+-Mañana creo yo -dije-, porque está aquí un bajel de Francia que se hace mañana a la vela, y pienso irme en él.
+-¿No es mejor -replicó Zoraida- esperar a que vengan bajeles de España, y irte con ellos, que no con los de Francia, que no son vuestros amigos?
+-No -respondí yo-; aunque si como hay nuevas que viene ya un bajel de España es verdad, todavía yo le aguardaré, puesto que es más cierto el partirme mañana; porque el deseo que tengo de yerme en mi tierra y con las personas que bien quiero es tanto, que no me dejará esperar otra comodidad, si se tarda, por mejor que sea.
+-Debes de ser, sin duda, casado en tu tierra –dijo Zoraida-, y por eso deseas ir a verte con tu mujer.
+-No soy -respondí yo- casado; mas tengo dada la palabra de casarme en llegando allá.
+-Y ¿es hermosa la dama a quien se la diste? -dijo Zoraida.
+-Tan hermosa es -respondí yo-, que para encarecella y decirte la verdad, te parece a ti mucho.
+Desto se riyó muy de veras su padre, y dijo:
+-Gualá, cristiano, que debe de ser muy hermosa si se parece a mi hija, que es la más hermosa de todo este reino. Si no, mírala bien, y verás cómo te digo verdad.
+Servíanos de intérprete a las más destas palabras y razones el padre de Zoraida, como más ladino; que aunque ella hablaba la bastarda lengua que, como he dicho, allí se usa, más declaraba su intención por señas que por palabras. Estando en estas y otras muchas razones, llegó un moro corriendo, y dijo a grandes voces que por las bardas o paredes del jardín habían saltado cuatro turcos, y andaban cogiendo la fruta, aunque no estaba madura. Sobresaltóse el viejo, y lo mesmo hizo Zoraida; porque es común y casi natural el miedo que los moros a los turcos
+tienen, especialmente a los soldados, los cuales son tan insolentes y tienen tanto imperio sobre los moros que a ellos están sujetos, que los tratan peor que si fuesen esclavos suyos. Digo, pues, que dijo su padre a Zoraida:
+-Hija, retírate a la casa y enciérrate, en tanto que yo voy a hablar a estos canes; y tú, cristiano, busca tus yerbas, y vete en buen hora, y llévete Alá con bien a tu tierra.
+Yo me incliné, y él se fue a buscar los turcos, dejándome solo con Zoraida, que comenzó a dar muestras de irse donde su padre la había mandado; pero apenas él se encubrió con los árboles del jardín, cuando ella, volviéndose a mí, llenos los ojos de lágrimas, me dijo:
+-¿Tamejí, cristiano, tamejí? -Que quiere decir: «¿Vaste, cristiano, vaste?» Yo la respondí:
+-Señora, sí; pero no, en ninguna manera, sin ti: el primero jumá me aguarda, y no te sobresaltes cuando nos veas; que sin duda alguna iremos a tierra de cristianos.
+Yo le dije esto de manera que ella me entendió muy bien a todas las razones que entrambos pasamos; y echándome un brazo al cuello, con desmayados pasos comenzó a caminar hacia la casa; y quiso la suerte, que pudiera ser muy mala si el cielo no lo ordenara de otra manera, que yendo los dos de la manera y postura que os he contado, con un brazo al cuello, su padre, que ya volvía de hacer ir a los turcos, nos vio de la suerte y manera que íbamos, y nosotros vimos que él nos había visto; pero Zoraida, advertida y discreta, no quiso quitar el brazo de mi cuello; antes se llegó más a mí y puso su cabeza sobre mi pecho, doblando un poco las rodillas, dando claras señales y muestras que se desmayaba, y yo, ansimismo, di a entender que la sostenía contra mi voluntad. Su padre llegó corriendo adonde estábamos y viendo a su hija de aquella manera, le preguntó que qué tenía, pero como ella no le respondiese, dijo su padre:
+-Sin duda alguna que con el sobresalto de la entrada de estos canes se ha desmayado.
+Y quitándola del mío, la arrimó a su pecho, y ella, dando un suspiro y, aún no enjutos los ojos de lágrimas, volvió a decir:
+-Amejí, cristiano, amejí. «Vete, cristiano, vete.» A lo que su padre respondió:
+-No importa, hija, que el cristiano se vaya; que ningún mal te ha hecho, y los turcos ya son idos. No te sobresalte cosa alguna, pues ninguna hay que pueda darte pesadumbre; pues, como ya te he dicho, los turcos, a mi mego, se volvieron por donde entraron.
+-Ellos, señor, la sobresaltaron, como has dicho -dije yo a su padre-; mas pues ella dice que yo me vaya, no la quiero dar pesadumbre: quédate en paz, y, con tu licencia, volveré, si fuere menester, por yerbas a este jardín; que, según dice mi amo, en
+ninguno las hay mejores para ensalada que en él.
+-Todas las que quisieres podrás volver -respondió Agi Morato-; que mi hija no dice esto por que tú ni ninguno de los cristianos la enojaban, sino que, por decir que los turcos se fuesen, dijo que tú te fueses, o porque ya era hora que buscases tus yerbas.
+Con esto me despedí al punto de entrambos; y ella, arrancándosele el alma al parecer, se fue con su padre, y yo, con achaque de buscar las yerbas, rodeé muy bien y a mi placer todo el jardín: miré bien las entradas y salidas, y la fortaleza de la casa, y la comodidad que se podía ofrecer para facilitar todo nuestro negocio. Hecho esto, me vine y di cuenta de cuanto había pasado al renegado y a mis compañeros, y ya no veía la hora de yerme gozar sin sobresalto del bien que en la hermosa y bella Zoraida la suerte me ofrecía. En fin, el tiempo pasó, y se llegó el día y plazo de nosotros tan deseado; y siguiendo todos el orden y parecer que, con discreta consideración y largo discurso, muchas veces habíamos dado, tuvimos el buen suceso que deseábamos; porque el viernes que se siguió al día que yo con Zoraida hablé en el jardín, nuestro renegado, al anochecer, dio fondo con la barca casi frontero de donde la hermosísima Zoraida estaba.
+Ya los cristianos que habían de bogar el remo estaban prevenidos, y escondidos por diversas partes de todos aquellos alrededores. Todos estaban suspensos y alborozados aguardándome deseosos ya de embestir con el bajel que a los ojos tenían; porque ellos no sabían el concierto del renegado, sino que pensaban que a fuerza de brazos habían de haber y ganar la libertad, quitando la vida a los moros que dentro de la barca estaban. Sucedió, pues, que así como yo me mostré y mis compañeros, todos los demás escondidos que nos vieron se vinieron llegando a nosotros. Esto era ya a tiempo que la ciudad estaba ya cerrada, y por toda aquella campaña ninguna persona parecía. Como estuvimos juntos, dudamos si sería mejor ir primero por Zoraida, o rendir primero a los moros bagarinos que bogaban el remo en la barca; y estando en esta duda, llegó a nosotros nuestro renegado diciéndonos que en qué nos deteníamos, que ya era hora, y que todos sus moros estaban descuidados, y los más dellos, durmiendo. Dijímosle en lo que reparábamos, y él dijo que lo que más importaba era rendir primero el bajel, que se podía hacer con grandísima facilidad y sin peligro alguno, y que luego podíamos ir por Zoraida. Pareciónos bien a todos lo que decía, y así, sin detenernos más, haciendo él la guía, llegamos al bajel, y saltando él dentro primero, metió mano a un alfanje y dijo en morisco:
+-Ninguno de vosotros se mueva de aquí, si no quiere que le cueste la vida.
+Ya, a este tiempo, habían entrado dentro casi todos los cristianos. Los moros, que eran de poco ánimo, viendo hablar de aquella manera a su arráez, quedáronse espantados, y sin ninguno de todos ellos echar mano a las armas, que pocas o casi ningunas tenían, se dejaron, sin hablar alguna palabra, maniatar de los cristianos, los cuales con mucha presteza lo hicieron, amenazando a los moros que si alzaban por alguna vía o manera la voz, que luego al punto los pasarían todos a cuchillo. Hecho ya esto, quedándose en guardia dellos la mitad de los nuestros, los que quedábamos, haciéndonos asimismo el renegado la guía, fuimos al jardín de Agi Morato, y quiso la buena suerte que, llegando a abrir la puerta, se abrió con tanta facilidad como si cerrada no estuviera; y así, con gran quietud y silencio, llegamos a la casa sin ser sentidos de nadie.
+Estaba la bellísima Zoraida aguardándonos a una ventana, y así como sintió gente, preguntó con voz baja si éramos nizarani, como si dijera o preguntara si éramos cristianos. Yo le respondí que si, y que bajase. Cuando ella me conoció, no se detuvo un punto; porque, sin responderme palabra, bajó en un instante, abrió la puerta, y mostróse a todos tan hermosa y ricamente vestida, que no lo acierto a
+encarecer. Luego que yo la vi, le tomé una mano y la comencé a besar, y el renegado hizo lo mismo, y mis dos camaradas; y los demás que el caso no sabían hicieron lo que vieron que nosotros hacíamos, que no parecía sino que le dábamos las gracias y la reconocíamos por señora de nuestra libertad. El renegado le dijo en lengua morisca si estaba su padre en el jardín. Ella respondió que sí, y que dormía.
+-Pues será menester despertalle -replicó el renegado-, y llevárnosle con nosotros, y todo aquello que tiene de valor este hermoso jardín.
+-No -dijo ella-; a mi padre no se ha de tocar en ningún modo, y en esta casa no hay otra cosa que lo que yo llevo, que es tanto, que bien habrá para que todos quedéis ricos y contentos, y esperaros un poco y lo veréis.
+Y diciendo esto, se volvió a entrar, diciendo que muy presto volvería; que nos estuviésemos quedos, sin hacer ningún ruido. Preguntéle al renegado lo que con ella había pasado, el cual me lo contó, a quien yo dije que ninguna cosa se había de hacer más de lo que Zoraida quisiese; la cual ya volvía cargada con un cofrecillo lleno de escudos de oro, tantos, que apenas lo podía sustentar. Quiso la mala suerte que su padre despertase en el ínterin y sintiese el ruido que andaba en el jardín; y asomándose a la ventana, luego conoció que todos los que en él estaban eran cristianos; y dando muchas, grandes y desaforadas voces, comenzó a decir en arábigo: «-¡Cristianos, cristianos! ¡Ladrones, ladrones!» Por los cuales gritos nos vimos todos puestos en grandísima y temerosa confusión; pero el renegado, viendo el peligro en que estábamos, y lo mucho que le importaba salir con aquella empresa antes de ser sentido, con grandísima presteza subió donde Agi Morato estaba, y juntamente con él fueron algunos de nosotros; que yo no osé desamparar a la Zoraida, que como desmayada se había dejado caer en mis brazos. En resolución, los que subieron se dieron tan buena maña, que en un momento bajaron con Agi Morato, trayéndole atadas las manos y puesto un pañizuelo en la boca, que no le dejaba hablar palabra, amenazándole que el hablarla le había de costar la vida. Cuando su hija lo vio se cubrió los ojos por no verle, y su padre quedó espantado, ignorando cuán de su voluntad se había puesto en nuestras manos; mas entonces siendo más necesarios los pies, con diligencia y presteza nos pusimos en la barca; que ya los que en ella habían quedado nos esperaban, temerosos de algún mal suceso nuestro.
+Apenas serían dos horas pasadas de la noche, cuando ya estábamos todos en la barca, en la cual se le quitó al padre de Zoraida la atadura de las manos y el paño de la boca; pero tornóle a decir el renegado que no hablase palabra; que le quitarían la vida. El, como vio allí a su hija, comenzó a suspirar ternísimamente, y más cuando vio que yo estrechamente la tenía abrazada, y que ella, sin defenderse, quejarse ni esquivarse, se estaba queda; pero, con todo esto, callaba, porque no pusiesen en efeto las muchas amenazas que el renegado le hacía. Viéndose, pues, Zoraida ya en la barca, y que quedamos dar los remos al agua, y viendo allí a su padre y a los demás moros que atados estaban, le dijo al renegado que me dijese le hiciese merced de soltar a aquellos moros, y de dar libertad a su padre; porque antes se arrojaría en la mar que ver delante de sus ojos y por causa suya llevar cautivo a un padre que tanto la había querido. El renegado me lo dijo, y yo respondí que era muy contento; pero él respondió que no convenía, a causa de que si allí los dejaban, apellidarían luego la tierra y alborotarían la ciudad, y sedan causa que saliesen a buscallos con algunas fragatas ligeras, y les tomasen la tierra y la mar, de manera, que no pudiésemos escaparnos; que lo que se podía hacer era darles libertad en llegando a la primera tierra de cristianos. En este parecer venimos todos, y Zoraida, a quien se le dio cuenta, con las causas que nos movían a no hacer luego lo que quería, también se satisfizo; y luego, con regocijado silenció y alegre diligencia, cada uno de nuestros valientes remeros tomó su remo, y comenzamos, encomendándonos a Dios de todo corazón, a navegar la vuelta de
+las islas de Mallorca, que es la tierra de cristianos más cerca; pero a causa de soplar un poco el viento tramontana y estar la mar algo picada, no fue posible seguir la derrota de Mallorca, y fuenos forzoso dejarnos ir tierra a tierra la vuelta de Orán, no sin mucha pesadumbre nuestra, por no ser descubiertos del lugar de Sargel, que en aquella costa cae sesenta millas de Argel. Y asimismo temíamos encontrar por aquel paraje alguna galeota de las que de ordinario vienen con mercancía de Tetuán, aunque cada uno por sí, y por todos juntos, presumíamos de que si se encontraba galeota de mercancía, como no fuese de las que andan en corso, que no sólo no nos perderíamos, mas que tomaríamos bajel donde con más seguridad pudiésemos acabar nuestro viaje. Iba Zoraida, en tanto que se navegaba, puesta la cabeza entre mis manos por no ver a su padre, y sentía yo que iba llamando a Lela Marién que nos ayudase.
+Bien habríamos navegado treinta millas, cuando nos amaneció, como tres tiros de arcabuz desviados de tierra, toda la cual vimos desierta y sin nadie que nos descubriese; pero, con todo eso, nos fuimos a fuerza de brazos entrando un poco en la mar, que ya estaba algo más sosegada; y habiendo entrado casi dos leguas, diose orden que se bogase a cuarteles en tanto que comíamos algo, que iba bien proveída la barca, puesto que los que bogaban dijeron que no era aquél tiempo de tomar reposo alguno; que les diesen de comer los que no bogaban; que ellos no querían soltar los remos de las manos en manera alguna. Hízose ansí, y en esto comenzó a soplar un viento largo, que nos obligó a hacer luego vela y a dejar el remo, y enderezar a Orán, por no ser posible poder hacer otro viaje. Todo se hizo con mucha presteza, y así, a la vela navegamos por más de ocho millas por hora, sin llevar otro temor alguno sino el de encontrar con bajel que de corso fuese. Dimos de comer a los moros bagarinos, y el renegado les consoló diciéndoles cómo no iban cautivos; que en la primera ocasión les darían libertad. Lo mismo se le dijo al padre de Zoraida, el cual respondió:
+-Cualquiera otra cosa pudiera yo esperar y creer de vuestra liberalidad y buen término, ¡oh cristianos!; mas el darme libertad, no me tengáis por tan simple que lo imagine; que nunca os pusisteis vosotros al peligro de quitármela para volverla tan liberalmente, especialmente sabiendo quién soy yo, y el interese que se os puede seguir de dármela; el cual interese si le queréis poner nombre, desde aquí os ofrezco todo aquello que quisiéredes por mi, y por esa desdichada hija mía, o si no, por ella sola, que es la mayor y la mejor parte de mi alma.
+En diciendo esto, comenzó a llorar tan amargamente, que a todos nos movió a compasión, y forzó a Zoraida que le mirase; la cual, viéndole llorar, así se enterneció, que se levantó de mis pies y fue a abrazar a su padre y, juntando su rostro con el suyo, comenzaron los dos tan tierno llanto, que muchos de los que allí íbamos le acompañamos en él. Pero cuando su padre la vio adornada de fiesta y con tantas joyas sobre sí, le dijo en su lengua:
+-¿Qué es esto, hija, que ayer al anochecer, antes que nos sucediese esta terrible desgracia en que nos vemos, te vi con tus ordinarios y caseros vestidos, y agora, sin que hayas tenido tiempo de vestirte, y sin haberte dado alguna nueva alegre de solenizalla con adornarte y pulirte, te veo compuesta con los mejores vestidos que yo supe y pude darte cuando nos fue la ventura más favorable? Respóndeme a esto, que me tiene más suspenso y admirado que la misma desgracia en que me hallo.
+Todo lo que el moro decía a su hija nos lo declaraba el renegado, y ella no le respondía palabra. Pero cuando él vio a un lado de la barca el cofrecillo donde ella solía tener sus joyas, el cual sabía él bien que le había dejado en Argel, y no traídole al jardín, quedó más confuso, y preguntóle que cómo aquel cofre había
+venido a nuestras manos, y qué era lo que venía dentro. A lo cual el renegado, sin aguardar que Zoraida le respondiese, le respondió:
+-No te canses, señor, en preguntar a Zoraida tu hija tantas cosas, porque con una que yo te responda te satisfaré a todas, y así, quiero que sepas que ella es cristiana, y es la que ha sido la lima de nuestras cadenas y la libertad de nuestro cautiverio. Ella va aquí de su voluntad, tan contenta, a lo que yo imagino, de verse en este estado, como el que sale de las tinieblas a la luz, de la muerte a la vida y de la pena a la gloria.
+-¿Es verdad lo que éste dice, hija? -dijo el moro. -Así es -respondió Zoraida.
+-¿Que, en efeto -replicó el viejo-, tú eres cristiana, y la que ha puesto a su padre en poder de sus enemigos?
+A lo cual respondió Zoraida:
+-La que es cristiana, yo soy; pero no la que te ha puesto en este punto; porque nunca mi deseo se extendió a dejarte ni a hacerte mal, sino a hacerme a mí bien.
+-Y ¿qué bien es el que te has hecho, hija?
+-Eso -respondió ella- pregúntaselo tú a Lela Marién; que ella te lo sabrá decir mejor que no yo.
+Apenas hubo oído esto el moro, cuando, con una increíble presteza, se arrojó de cabeza en la mar, donde sin ninguna duda se ahogara, si el vestido largo y embarazoso que traía no le entretuviera un poco sobre el agua. Dio voces Zoraida que le sacasen, y así, acudimos luego todos, y, asiéndole de la almalafa, le sacamos medio ahogado y sin sentido; de que recibió tanta pena Zoraida, que, como si fuera ya muerto hacía sobre él un tierno y doloroso llanto. Volvimosle boca abajo; volvió mucha agua; tomó en si al cabo de dos horas, en las cuales, habiéndose trocado el viento, nos convino volver hacia tierra, y hacer fuerza de remos, por no embestir en ella; mas quiso nuestra buena suerte que llegamos a una caía que se hace al lado de un pequeño promontorio o cabo que de los moros es llamado el de la Caba Rumía, que en nuestra lengua quiere decir la mala mujer cristiana; y es tradición entre los moros que en aquel lugar está enterrada la Cava, por quien se perdió España. porque cava en su lengua quiere decir mujer mala, y rumía, cristiana; y aun tienen por mal agüero llegar allí a dar fondo cuando la necesidad les fuerza a ello, porque nunca le dan sin ella; puesto que para nosotros no fue abrigo de mala mujer, sino puerto seguro de nuestro remedio, según andaba alterada la mar. Pusimos nuestras centinelas en tierra, y no dejamos jamás los remos de la mano; comimos de lo que el renegado había proveído, y rogamos a Dios y a Nuestra Señora, de todo nuestro corazón, que nos ayudase y favoreciese para que felicemente diésemos fin a tan dichoso principio. Diose orden, a suplicación de Zoraida, como echásemos en tierra a su padre y a todos los demás moros que allí atados venían, porque no le bastaba el ánimo, ni lo podían sufrir sus blandas entrañas, ver delante de sus ojos atado a su padre y a aquellos de su tierra presos. Prometímosle de hacerlo así al tiempo de la partida, pues no corría peligro el dejallos en aquel lugar, que era despoblado. No fueron tan vanas nuestras oraciones, que no fuesen oídas del cielo; que, en nuestro favor, luego volvió el viento tranquilo el mar, convidándonos a que tornásemos alegres a proseguir nuestro comenzado viaje. Viendo esto, desatamos a los moros, y uno a uno los
+pusimos en tierra, de lo que ellos se quedaron admirados; pero llegando a desembarcar al padre de Zoraida, que ya estaba en todo su acuerdo, dijo:
+-¿Por qué pensáis, cristianos, que esta mala hembra huelga de que me deis libertad? ¿Pensáis que es por piedad que de mi tiene? No, por cierto, sino que lo hace por el estorbo que le dará mi presencia cuando quiera poner en ejecución sus malos deseos; ni penséis que la ha movido a mudar religión entender ella que la vuestra a la nuestra se aventaja, sino el saber que en vuestra tierra se usa la deshonestidad más libremente que en la nuestra.
+Y volviéndose a Zoraida, teniéndole yo y otro cristiano de entrambos brazos asido, porque algún desatino no hiciese, le dijo:
+-¡Oh infame moza y mal aconsejada muchacha! ¿Adónde vas, ciega y desatinada, en poder destos perros, naturales enemigos nuestros? ¡Maldita sea la hora en que yo te engendré, y malditos sean los regalos y deleites en que te he criado!
+Pero viendo yo que llevaba término de no acabar tan presto, di priesa a ponelle en tierra, y desde allí, a voces, prosiguió en sus maldiciones y lamentos, rogando a Mahoma rogase a Alá que nos destruyese, confundiese y acabase; y cuando, por habernos hecho a la vela, no podimos oír sus palabras, vimos sus obras, que eran arrancarse las barbas, mesarse los cabellos y arrastrarse por el suelo; mas una vez esforzó la voz de tal manera, que podimos entender que decía:
+-Vuelve, amada hija, vuelve a tierra, que todo te lo perdono; entrega a esos hombres ese dinero, que ya es suyo, y vuelve a consolar a este triste padre tuyo, que en esta desierta arena dejará la vida, si tú le dejas.
+Todo lo cual escuchaba Zoraida, y todo lo sentía y lloraba, y no supo decirle ni respondelle palabra, sino:
+-¡Plega a Alá, padre mío, que Lela Marién, que ha sido la causa de que yo sea cristiana, ella te consuele en tu tristeza! Alá sabe bien que no pude hacer otra cosa de la que he hecho, y que estos cristianos no deben nada a mi voluntad, pues aunque quisiera no venir con ellos y quedarme en mi casa, me fuera imposible, según la priesa que me daba mi alma a poner por obra ésta que a mi me parece tan buena como tú, padre amado, la juzgas por mala.
+Esto dijo, a tiempo que ni su padre la oía ni nosotros ya le veíamos; y así, consolando yo a Zoraida, atendimos todos a nuestro viaje, el cual nos le facilitaba el propio viento, de tal manera, que bien tuvimos por cierto de vernos otro día al amanecer en las riberas de España. Mas como pocas veces, o nunca, viene el bien puro y sencillo sin ser acompañado o seguido de algún mal que le turbe o sobresalte, quiso nuestra ventura, o quizá las maldiciones que el moro a su hija había echado, que siempre se han de temer de cualquier padre que sean, quiso, digo, que estando ya engolfados y siendo ya casi pasadas tres horas de la noche, yendo con la vela tendida de alto abajo, frenillados los remos, porque el próspero viento nos quitaba del trabajo de haberlos menester, con la luz de la luna, que claramente resplandecía, vimos cerca de nosotros un bajel redondo, que, con todas las velas tendidas, llevando un poco a orza el timón, delante de nosotros atravesaba; y esto, tan cerca, que nos fue forzoso amainar por no embestirle, y ellos, asimesmo, hicieron fuerza de timón para darnos lugar que pasásemos. Habíanse puesto a bordo del bajel a preguntamos quién éramos, y adonde navegábamos, y de dónde veníamos; pero por preguntarnos esto en lengua francesa, dijo nuestro renegado:
+-Ninguno responda; porque éstos, sin duda, son cosarios franceses, que hacen a toda ropa.
+Por este advertimiento, ninguno respondió palabra; y habiendo pasado un poco delante, que ya el bajel quedaba a sotavento, de improviso soltaron dos piezas de artillería, y, a lo que parecía, ambas venían con cadenas, porque con una cortaron nuestro árbol por medio, y dieron con él y con la vela en la mar; y al momento disparando otra pieza, vino a dar la bala en mitad de nuestra barca, de modo, que la abrió toda, sin hacer otro mal alguno; pero como nosotros nos vimos ir a fondo, comenzamos todos a grandes voces a pedir socorro, y a rogar a los del bajel que nos acogiesen, porque nos anegábamos. Amainaron entonces, y echando el esquife o barca a la mar, entraron en él hasta doce franceses bien armados, con sus arcabuces y cuerdas encendidas, y así llegaron junto al nuestro; y viendo cuán pocos éramos, y cómo el bajel se hundía, nos recogieron, diciendo que por haber usado de la descortesía de no respondelles, nos había sucedido aquello. Nuestro renegado tomó el cofre de las riquezas de Zoraida, y dio con él en la mar, sin que ninguno echase de ver en lo que hacía. En resolución, todos pasamos con los franceses, los cuales, después de haberse informado de todo aquello que de nosotros saber quisieron, como si fueran nuestros capitales enemigos, nos despojaron de todo cuanto teníamos, y a Zoraida le quitaron hasta los carcajes que traía en los pies; pero no me daba a mí tanta pesadumbre la que a Zoraida daban como me la daba el temor que tenía de que habían de pasar del quitar de las riquísimas y preciosísimas joyas al quitar de la joya que más valía y ella más estimaba. Pero los deseos de aquella gente no se extienden a más que al dinero, y desto jamás se vee haría su codicia; lo cual entonces llegó a tanto, que aun hasta los vestidos de cautivos nos quitaran si de algún provecho les fueran; y hubo parecer entre ellos de que a todos nos arrojasen a la mar envueltos en una vela, porque tenían intención de tratar en algunos puertos de España con nombre de que eran bretones, y si nos llevaban vivos serían castigados siendo descubierto su hurto; mas el capitán, que era el que había despojado a mi querida Zoraida, dijo que él se contentaba con la presa que tenía, y que no quería tocar en ningún puerto de España, sino pasar el estrecho de Gibraltar de noche, o como pudiese, y irse a la Rochela, de donde había salido; y así, tomaron por acuerdo de darnos el esquife de su navío, y todo lo necesario para la corta navegación que nos quedaba, como lo hicieron otro día, ya a vista de tierra de España; con la cual vista todas nuestras pesadumbres y pobrezas se nos olvidaron de todo punto, como si no hubieran pasado por nosotros: tanto es el gusto de alcanzar la libertad perdida.
+Cerca de medio día podría ser cuando nos echaron en la barca, dándonos dos barriles de agua y algún bizcocho; y el capitán, movido no sé de qué misericordia, al embarcarse la hermosísima Zoraida, le dio hasta cuarenta escudos de oro, y no consintió que le quitasen sus soldados estos mesmos vestidos que ahora tiene puestos. Entramos en el bajel; dimosles las gracias por el bien que nos hacían, mostrándonos más agradecidos que quejosos; ellos se hicieron a lo largo, siguiendo la derrota del estrecho; nosotros, sin mirar a otro norte que a la tierra que se nos mostraba delante, nos dimos tanta priesa a bogar, que al poner del sol estábamos tan cerca, que bien pudiéramos, a nuestro parecer, llegar antes que fuera muy noche; pero, por no parecer en aquella noche la luna y el cielo mostrarse escuro, y por ignorar el paraje en que estábamos, no nos pareció cosa segura embestir en tierra, como a muchos de nosotros les parecía, diciendo que diésemos en ella, aunque fuese en unas peñas y lejos de poblado, porque así aseguraríamos el temor que de razón se debía tener que por allí anduviesen bajeles de cosarios de Tetuán, los cuales anochecen en Berbería y amanecen en las costas de España, y hacen, de ordinario, presa, y se vuelven a dormir a sus casas; pero de los contrarios pareceres el que se tomó fue que nos llegásemos poco a poco, y que si el sosiego del mar lo concediese, desembarcásemos donde pudiésemos. Hízose así, y poco antes de la media noche sería cuando llegamos al pie de una disformísima y alta
+montaña, no tan junto al mar, que no concediese un poco de espacio para poder desembarcar cómodamente. Embestimos en la arena, salimos a tierra, besamos el suelo, y con lágrimas de muy alegrísimo contento dimos todos gracias a Dios Señor Nuestro, por el bien tan incomparable que nos había hecho. Sacamos de la barca los bastimentos que tenía, tirámosla en tierra, y subímonos un grandísimo trecho en la montaña, porque aún allí estábamos, y aún no podíamos asegurar el pecho, ni acabábamos de creer que era tierra de cristianos la que ya nos sostenía.
+Amaneció más tarde, a mi parecer, de lo que quisiéramos. Acabamos de subir toda la montaña, por ver si desde allí algún poblado se descubría, o algunas cabañas de pastores; pero aunque más tendimos la vista, ni poblado, ni persona, ni senda, ni camino descubrimos. Con todo esto, determinamos de entrarnos la tierra adentro, pues no podría ser menos sino que presto descubriésemos quién nos diese noticia della. Pero lo que a mí más me fatigaba era el ver ir a pie a Zoraida por aquellas asperezas, que, puesto que alguna vez la puse sobre mis hombros, más le cansaba a ella mi cansancio que la reposaba su reposo; y así, nunca más quiso que yo aquel trabajo tomase; y con mucha paciencia y muestras de alegría, llevándola yo siempre de la mano, poco menos de un cuarto de legua debíamos de haber andado, cuando llegó a nuestros oídos el son de una pequeña esquila, señal clara que por allí cerca había ganado; y mirando todos con atención si alguno se parecía, vimos al pie de un alcornoque un pastor mozo, que con grande reposo y descuido estaba labrando un palo con un cuchillo. Dimos voces, y él, alzando la cabeza, se puso ligeramente en pie, y a lo que después supimos, los primeros que a la vista se le ofrecieron fueron el renegado y Zoraida, y como él los vio en hábito de moros, pensó que todos los de la Berbería estaban sobre él; y metiéndose con extraña ligereza por el bosque adelante, comenzó a dar los mayores gritos del mundo, diciendo:
+-¡Moros, moros hay en la tierra! ¡ Moros, moros! ¡Arma, arma!
+Con estas voces quedamos todos confusos, y no sabíamos qué hacernos; pero considerando que las voces del pastor habían de alborotar la tierra, y que la caballería de la costa había de venir luego a ver lo que era, acordamos que el renegado se desnudase las ropas de turco y se vistiese un gilecuelco o casaca de cautivo que uno de nosotros le dio luego, aunque se quedó en camisa; y así, encomendándonos a Dios, fuimos por el mismo camino que vimos que el pastor llevaba, esperando siempre cuándo había de dar sobre nosotros la caballería de la costa. Y nos engañó nuestro pensamiento; porque aún no habrían pasado dos horas, cuando habiendo ya salido de aquellas malezas a un llano, descubrimos hasta cincuenta caballeros, que con gran ligereza, corriendo a media rienda, a nosotros se venían, y así como los vimos, nos estuvimos quedos aguardándolos; pero como ellos llegaron, y vieron, en lugar de los moros que buscaban, tanto pobre cristiano, quedaron confusos, y uno dellos nos preguntó si éramos nosotros acaso la ocasión por que un pastor había apellidado al arma. «-Si», dije yo; y queriendo comenzar a decirle mi suceso, y de dónde veníamos, y quién éramos, uno de los cristianos que con nosotros venían conoció al jinete que nos había hecho la pregunta, y dijo, sin dejarme a mi decir más palabra:
+-¡Gracias sean dadas a Dios, señores, que a tan buena parte nos ha conducido! Porque si yo no me engaño, la tierra que pisamos es la de Vélez Málaga; si ya los años de mi cautiverio no me han quitado de la memoria el acordarme que vos, señor, que nos preguntáis quién somos, sois Pedro de Bustamante, tío mío.
+Apenas hubo dicho esto el cristiano cautivo, cuando el jinete se arrojó del caballo y vino a abrazar al mozo, diciéndole:
+-Sobrino de mi alma y de mi vida, ya te conozco, y ya te he llorado por muerto yo, y mi hermana, tu madre, y todos los tuyos, que aún viven, y Dios ha sido servido de darles vida para que gocen el placer de verte: ya sabíamos que estabas en Argel, y por las señales y muestras de tus vestidos, y la de todos los desta compañía, comprehendo que habéis tenido milagrosa libertad.
+-Así es -respondió el mozo-, y tiempo nos quedará para contároslo todo.
+Luego que los jinetes entendieron que éramos cristianos cautivos se apearon de sus caballos, y cada uno nos convidaba con el suyo para llevamos a la ciudad de Vélez Málaga, que legua y media de allí estaba. Algunos dellos volvieron a llevar la barca a la ciudad, diciéndoles dónde la habíamos dejado; otros nos subieron a las ancas, y Zoraida fue en las del caballo del tío del cristiano. Saliónos a recebir todo el pueblo; que ya de alguno que se había adelantado sabían la nueva de nuestra venida. No se admiraban de ver cautivos libres, ni moros cautivos, porque toda la gente de aquella costa está hecha a ver a los unos y a los otros; pero admirábanse de la hermosura de Zoraida, la cual en aquel instante y sazón estaba en su punto, ansí con el cansancio del camino, como con la alegría de verse ya en tierra de cristianos, sin sobresalto de perderse; y esto le había sacado al rostro tales colores, que si no es que la afición entonces me engañaba, osaré decir que más hermosa criatura no había en el mundo; a lo menos, que yo la hubiese visto.
+Fuimos derechos a la iglesia a dar gracias a Dios por la merced recebida; y así como en ella entró Zoraida, dijo que allí había rostros que se parecían a los de Lela Marién. Dijimosle que eran imágenes suyas, y como mejor se pudo le dio el renegado a entender lo que significaban, para que ella las adorase como si verdaderamente fueran cada una dellas la misma. Lela Marién que la había hablado. Ella, que tiene buen entendimiento y un natural fácil y claro, entendió luego cuanto acerca de las imágenes se le dijo. Desde allí nos llevaron y repartieron a todos en diferentes casas del pueblo; pero al renegado, Zoraida y a mi nos llevó el cristiano que vino con nosotros, y en casa de sus padres, que medianamente eran acomodados de los bienes de fortuna, nos regalaron con tanto amor como a su mismo hijo.
+Seis días estuvimos en Vélez, al cabo de los cuales, el renegado, hecha su información de cuanto le convenía, se fue a la ciudad de Granada a reducirse por medio de la Santa Inquisición al gremio santísimo de la Iglesia; los demás cristianos libertados se fueron cada uno donde mejor le pareció; solos quedamos Zoraida y yo, con solos los escudos que la cortesía del francés le dio a Zoraida, de los cuales compré este animal en que ella viene, y, sirviéndola yo hasta agora de padre y escudero, y no de esposo, vamos con intención de ver si mi padre es vivo, o si alguno de mis hermanos ha tenido más próspera ventura que la mía; puesto que por haberme hecho el cielo compañero de Zoraida, me parece que ninguna otra suerte me pudiera venir, por buena que fuera, que más la estimara. La paciencia con que Zoraida lleva las incomodidades que la pobreza trae consigo y el deseo que muestra tener de verse ya cristiana es tanto y tal, que me admira, y me mueve a servirla todo el tiempo de mi vida; puesto que el gusto que tengo de yerme suyo y de que ella sea mía me le turba y deshace no saber si hallaré en mi tierra algún rincón donde recogella, y si habrán hecho el tiempo y la muerte tal mudanza en la hacienda y vida de mi padre y hermanos, que apenas halle quien me conozca, si ellos faltan.
+No tengo más, señores, que deciros de mi historia; la cual si es agradable y peregrina júzguenlo vuestros buenos entendimientos; que de mi sé decir que quisiera habérosla contado más brevemente, puesto que el temor de enfadaros más de cuatro circunstancias me ha quitado de la lengua.
+Capítulo 42: Que trata de lo que más sucedió en la venta y de otras muchas cosas dignas de saberse
+Calló en diciendo esto el cautivo, a quien don Fernando dijo:
+-Por cierto, señor capitán, el modo con que habéis contado este extraño suceso ha sido tal, que iguala a la novedad y extrañeza del mesmo caso. Todo es peregrino, y raro, y llenó de accidentes que maravillan y suspenden a quien los oye; y es de tal manera el gusto que hemos recebido en escuchalle, que aunque nos hallara el día de mañana entretenidos en el mesmo cuento, holgáramos que de nuevo se comenzara.
+Y en diciendo esto, Cardenio y todos los demás se le ofrecieron con todo lo a ellos posible para servirle, con palabras y razones tan amorosas y tan verdaderas, que el capitán se tuvo por bien satisfecho de sus voluntades. Especialmente, le ofreció don Fernando que si quería volverse con él, que él haría que el marqués su hermano fuese padrino del bautismo de Zoraida, y que él, por su parte, le acomodaría de manera, que pudiese entrar en su tierra con el autoridad y cómodo que a su persona se debía. Todo lo agradeció cortesísimamente el cautivo, pero no quiso acetar ninguno de sus liberales ofrecimientos.
+En esto, llegaba ya la noche, y al cerrar della, llegó a la venta un coche, con algunos hombres de a caballo. Pidieron posada; a quien la ventera respondió que no había en toda la venta un palmo desocupado.
+-Pues aunque eso sea -dijo uno de los de a caballo que habían entrado-, no ha de faltar para el señor oidor que aquí viene.
+A este nombre se turbó la huéspeda, y dijo:
+-Señor, lo que en ello hay es que no tengo camas; si es que su merced del señor oidor la trae, que sí debe de traer, entre en buen hora; que yo y mi marido nos saldremos de nuestro aposento, por acomodar a su merced.
+-Sea en buen hora -dijo el escudero.
+Pero a este tiempo ya había salido del coche un hombre, que en el traje mostró luego el oficio y cargo que tenía, porque la ropa luenga, con las mangas arrocadas, que vestía, mostraron ser oidor, como su criado había dicho. Traía de la mano a una doncella, al parecer de hasta diez y seis años, vestida de camino, tan bizarra, tan hermosa y tan gallarda, que a todos puso en admiración su vista; de suerte, que a no haber visto a Dorotea, y a Luscinda y Zoraida, que en la venta estaban, creyeran que otra tal hermosura como la desta doncella difícilmente pudiera hallarse. Hallóse don Quijote al entrar del oidor y de la doncella, y así como le vio, dijo:
+-Seguramente puede vuestra merced entrar y espaciarse en este castillo; que aunque es estrecho y mal acomodado, no hay estrecheza ni incomodidad en el mundo que no dé lugar a las armas y a las letras, y más si las armas y letras traen por guía y adalid a la fermosura, como la traen las letras de vuestra merced en esta fermosa doncella, a quien deben no sólo abrirse y manifestarse los castillos, sino apartarse los riscos, y dividirse y abajarse las montañas, para dalle acogida. Entre vuestra merced, digo, en este paraíso, que aquí hallará estrellas y soles que acompañen el cielo que vuestra merced trae consigo; aquí hallará las armas en su punto y la hermosura en su extremo.
+Admirado quedó el oidor del razonamiento de don Quijote, a quien se puso a mirar muy de propósito, y no menos le admiraba su talle que sus palabras; y sin hallar ningunas con que respondelle, se tomó a admirar de nuevo cuando vio delante de si a Luscinda, a Dorotea y a Zoraida, que a las nuevas de los nuevos huéspedes y a las que la ventera les había dado de la hermosura de la doncella habían venido a verla y a recebirla; pero don Fernando, Cardenio y el cura le hicieron más llanos y más cortesanos ofrecimientos. En efecto, el señor oidor entró confuso, así de lo que veía como de lo que escuchaba, y las hermosas de la venta dieron la bienllegada a la hermosa doncella. En resolución, bien echó de ver el oidor que era gente principal toda la que allí estaba; pero el talle, visaje y la apostura de don Quijote le desatinaba; y habiendo pasado entre todos corteses ofrecimientos, y tanteado la comodidad de la venta, se ordenó lo que antes estaba ordenado: que todas las mujeres se entrasen en el camaranchón ya referido, y que los hombres se quedasen fuera, como en su guarda. Y así, fue contento el oidor que su hija, que era la doncella, se fuese con aquellas señoras, lo que hizo de muy buena gana; y con parte de la estrecha cama del ventero, y con la mitad de la que el oidor traía, se acomodaron aquella noche, mejor de lo que pensaban.
+El cautivo, que desde el punto que vio al oidor, le dio saltos el corazón y barruntos de que aquél era su hermano, preguntó a uno de los criados que con él venían que cómo se llamaba y si sabía de qué tierra era. El criado le respondió que se llamaba el licenciado Juan Pérez de Viedma, y que había oído decir que era de un lugar de las montañas de León. Con esta relación y con lo que él había visto se acabó de confirmar de que aquél era su hermano, que había seguido las letras, por consejo de su padre; y alborotado y contento, llamando aparte a don Fernando, a Cardenio
+y al cura, les contó lo que pasaba, certificándoles que aquel oidor era su hermano. Habíale dicho también el criado cómo iba proveído por oidor a las Indias, en la Audiencia de México; supo también cómo aquella doncella era su hija, de cuyo parto había muerto su madre, y que él había quedado muy rico con el dote que con la hija se le quedó en casa. Pidióles consejo qué modo tendría para descubrirse, o para conocer primero si, después de descubierto, su hermano, por verle pobre, se afrentaba, o le recebía con buenas entrañas.
+-Déjeseme a mi el hacer esa experiencia -dijo el cura-; cuanto más que no hay pensar sino que vos, señor capitán, seréis muy bien recebido; porque el valor y prudencia que en su buen parecer descubre vuestro hermano no da indicios de ser arrogante ni desconocido, ni que no ha de saber poner los casos de la fortuna en su punto.
+-Con todo eso -dijo el capitán-, yo querría, no de improviso, sino por rodeos, dármele a conocer.
+-Ya os digo -respondió el cura- que yo lo trazaré de modo, que todos quedemos satisfechos.
+Ya, en esto, estaba aderezada la cena, y todos se sentaron a la mesa, eceto el cautivo y las señoras, que cenaron de por si en su aposento. En la mitad de la cena dijo el cura.
+-Del mesmo nombre de vuestra merced, señor oidor, tuve yo una camarada en Constantinopla, donde estuve cautivo algunos años; la cual camarada era uno de los valientes soldados y capitanes que había en toda la infantería española; pero tanto cuanto tenía de esforzado y valeroso tenía de desdichado.
+-Y ¿cómo se llamaba ese capitán, señor mío? -preguntó el oidor.
+-Llamábase -respondió el cura- Ruy Pérez de Viedma, y era natural de un lugar de las montañas de León; el cual me contó un caso que a su padre con sus hermanos le había sucedido, que, a no contármelo un hombre tan verdadero como él, lo tuviera por conseja de aquellas que las viejas cuentan el invierno al fuego. Porque me dijo que su padre había dividido su hacienda entre tres hijos que tenía, y les había dado ciertos consejos, mejores que los de Catón. Y sé yo decir que el que él escogió de venir a la guerra le había sucedido tan bien, que en pocos años, por su valor y esfuerzo, sin otro brazo que el de su mucha virtud, subió a ser capitán de infantería, y a verse en camino y predicamento de ser presto maestre de campo. Pero fuele la fortuna contraria, pues donde la pudiera esperar y tener buena, allí la perdió, con perder la libertad en la felicísima jornada donde tantos la cobraron, que fue en la batalla de Lepanto. Yo la perdí en la Goleta, y después, por diferentes sucesos, nos hallamos camaradas en Constantinopla. Desde allí vino a Argel, donde sé que le sucedió uno de los más extraños casos que en el mundo han sucedido.
+De aquí fue prosiguiendo el cura, y con brevedad sucinta contó lo que con Zoraida a su hermano había sucedido; a todo lo cual estaba tan atento el oidor, que ninguna vez había sido tan oidor como entonces. Sólo llegó el cura al punto de cuando los franceses despojaron a los cristianos que en la barca venían, y la pobreza y necesidad en que su camarada y la hermosa mora habían quedado; de los cuales no había sabido en qué habían parado, ni si habían llegado a España, o llevádolos los franceses a Francia.
+Todo lo que el cura decía estaba escuchando algo de allí desviado el capitán, y notaba todos los movimientos que su hermano hacia; el cual, viendo que ya el cura
+había llegado al fin de su cuento, dando un gran suspiro, y llenándosele los ojos de agua, dijo:
+-¡Oh, señor, si supiésedes las nuevas que me habéis contado, y cómo me tocan tan en parte, que me es forzoso dar muestras dello con estas lágrimas que, contra mi discreción y recato, me salen por los ojos! Ese capitán tan valeroso que decís es mi mayor hermano, el cual, como más fuerte y de más altos pensamientos que yo ni otro hermano menor mío, escogió el honroso y digno ejercicio de la guerra, que fue uno de los tres caminos que nuestro padre nos propuso, según os dijo vuestra camarada en la conseja que, a vuestro parecer, le oísteis. Yo seguí el de las letras, en las cuales Dios y mi diligencia me han puesto en el grado que me veis. Mi menor hermano está en el Pirú, tan rico, que con lo que ha enviado a mi padre y a mi ha satisfecho bien la parte que él se llevó, y aun dado a las manos de mi padre con que poder hartar su liberalidad natural; y yo ansimesmo he podido con más decencia y autoridad tratarme en mis estudios, y llegar al puesto en que me veo. Vive aún mi padre muriendo, con el deseo de saber de su hijo mayor, y pide a Dios con continuas oraciones no cierre la muerte sus ojos hasta que él vea con vida a los de su hijo; del cual me maravillo, siendo tan discreto, cómo en tantos trabajos y aflicciones, o prósperos sucesos, se haya descuidado de dar noticia de sí a su padre; que si él lo supiera, o alguno de nosotros, no tuviera necesidad de aguardar al milagro de la caña para alcanzar su rescate. Pero de lo que yo agora me temo es de pensar si aquellos franceses le habrán dado libertad, o le habrán muerto por encubrir su hurto. Esto todo será que yo prosiga mi viaje no con aquel contento con que le comencé, sino con toda melancolía y tristeza. ¡Oh buen hermano mío, y quién supiera agora dónde estabas; que yo te fuera a buscar y a librar de tus trabajos, aunque fuera a costa de los míos! ¡Oh, quién Llevara nuevas a nuestro viejo padre de que tenias vida, aunque estuvieras en las mazmorras más escondidas de Berbería; que de allí te sacaran sus riquezas, las de mi hermano y las mías! ¡Oh Zoraida hermosa y liberal, quién pudiera pagar el bien que a mi hermano hiciste! ¡Quién pudiera hallarse al renacer de tu alma, y a las bodas, que tanto gusto a todos nos dieran!
+Estas y otras semejantes palabras decía el oidor, lleno de tanta compasión con las nuevas que de su hermano le habían dado, que todos los que le oían le acompañaban en dar muestras del sentimiento que tenían de su lástima. Viendo, pues, el cura que tan bien había salido con su intención y con lo que deseaba el capitán, no quiso tenerlos a todos más tiempo tristes, y así, se levantó de la mesa, y entrando donde estaba Zoraida, la tomó por la mano, y tras ella se vinieron Luscinda, Dorotea y la hija del oidor. Estaba esperando el capitán a ver lo que el cura quería hacer, que fue que, tomándole a él asimesmo de la otra mano, con entrambos a dos se fue donde el oidor y los demás caballeros estaban, y dijo:
+-Cesen, señor oidor, vuestras lágrimas, y cólmese vuestro deseo de todo el bien que acertare a desearse, pues tenéis delante a vuestro buen hermano y a vuestra buena cuñada. Este que aquí veis es el capitán Viedma, y ésta, la hermosa mora que tanto bien le hizo. Los franceses que os dije los pusieron en la estrecheza que veis, para que vos mostréis la liberalidad de vuestro buen pecho.
+Acudió el capitán a abrazar a su hermano, y él le puso ambas manos en los pechos, por mirarle algo más apartado; mas cuando le acabó de conocer le abrazó tan estrechamente, derramando tan tiernas lágrimas de contento, que los más de los que presentes estaban le hubieron de acompañar en ellas. Las palabras que entrambos hermanos se dijeron, los sentimientos que mostraron, apenas creo que pueden pensarse, cuanto más escribirse. Allí, en breves razones, se dieron cuenta de sus sucesos; allí mostraron puesta en su punto la buena amistad de dos hermanos; allí abrazó el oidor a Zoraida; allí la ofreció su hacienda; allí hizo que la abrazase su hija; allí la cristiana hermosa y la mora hermosísima renovaron las
+lágrimas de todos. Allí don Quijote estaba atento, sin hablar palabra, considerando estos tan extraños sucesos, atribuyéndolos todos a quimeras de la andante caballería. Allí concertaron que el capitán y Zoraida se volviesen con su hermano a Sevilla y avisasen a su padre de su hallazgo y libertad, para que, como pudiese, viniese a hallarse en las bodas y bautismo de Zoraida, por no le ser al oidor posible dejar el camino que llevaba, a causa de tener nuevas que de allí a un mes partía flota de Sevilla a la Nueva España, y fuérale de grande incomodidad perder el viaje.
+En resolución, todos quedaron contentos y alegres del buen suceso del cautivo; y como ya la noche iba casi en las dos partes de su jornada, acordaron de recogerse y reposar lo que de ella les quedaba. Don Quijote se ofreció a hacer la guardia del castillo, porque de algún gigante o otro mal andante follón no fuesen acometidos, codiciosos del gran tesoro de hermosura que en aquel castillo se encerraba. Agredeciéronselo los que le conocían, y dieron al oidor cuenta del humor extraño de don Quijote, de que no poco gusto recibió. Sólo Sancho Panza se desesperaba con la tardanza del recogimiento, y sólo él se acomodó mejor que todos, echándose sobre los aparejos de su jumento, que le costaron tan caros como adelante se dirá.
+Recogidas, pues, las damas en su estancia, y los demás acomodándose como menos mal pudieron, don Quijote se salió fuera de la venta a hacer la centinela del castillo, como lo había prometido.
+Sucedió, pues, que faltando poco por venir el alba, llegó a los oídos de las damas una voz tan entonada y tan buena, que les obligó a que todas le prestasen atento oído, especialmente Dorotea, que despierta estaba, a cuyo lado dormía doña Clara de Viedma, que ansí se llamaba la hija del oidor. Nadie podía imaginar quién era la persona que tan bien cantaba, y era una voz sola, sin que la acompañase instrumento alguno. Unas veces les parecía que cantaba en el patio; otras, que en la caballeriza, y estando en esta confusión muy atentas, llegó a la puerta del aposento Cardenio, y dijo:
+-Quien no duerme, escuche; que oirán una voz de un mozo de mulas que de tal manera canta, que encanta.
+-Ya lo oímos, señor -respondió Dorotea.
+Y con esto, se fue Cardenio, y Dorotea, poniendo toda la atención posible, entendió que lo que se cantaba era esto:
+Capítulo 43: Donde se cuenta la agradable historia del mozo de mulas, con otros extraños acaecimientos en la venta sucedidos
+-Marinero soy de amor
+y en su piélago profundo navego sin esperanza
+de llegar a puerto alguno. Siguiendo voy a una estrella que desde lejos descubro, más bella y resplandeciente que cuantas vio Palinuro.
+Yo no sé adónde me guía,
+y así, navego confuso,
+el alma a mirarla atenta, cuidadosa y con descuido. Recatos impertinentes, honestidad contra el uso,
+son nubes que me la encubren cuando más verla procuro. ¡Oh clara y luciente estrella
+en cuya lumbre me apuro!
+Al punto que te me encubras, será de mi muerte el punto.
+Llegando el que cantaba a este punto, le pareció a Dorotea que no sería bien que dejase Clara de oír una tan buena voz; y así, moviéndola a una y a otra parte, la despertó, diciéndole:
+-Perdóname, niña, que te despierto, pues lo hago porque gustes de oír la mejor voz que quizá habrás oído en toda tu vida.
+Clara despertó toda soñolienta, y de la primera vez no entendió lo que Dorotea le decía; y volviéndoselo a preguntar, ella se lo volvió a decir, por lo cual estuvo atenta Clara; pero apenas hubo oído dos versos que el que cantaba iba prosiguiendo, cuando le tomó un temblor tan extraño, como si de algún grave accidente de cuartana estuviera enferma, y abrazándose estrechamente con Dorotea, le dijo:
+-¡Ay, señora de mi alma y de mi vida! ¿Para qué me despertastes? Que el mayor bien que la fortuna me podía hacer por ahora era tenerme cerrados los ojos y los oídos, para no ver ni oír ese desdichado músico.
+-¿Qué es lo que dices, niña? Mira que dicen que el que canta es un mozo de mulas.
+-No es sino señor de lugares –respondió Clara-, y el que le tiene en mi alma con tanta seguridad, que si él no quiere dejalle, no le será quitado eternamente.
+Admirada quedó Dorotea de las sentidas razones de la muchacha, pareciéndole que se aventajaban en mucho a la discreción que sus pocos años prometían, y así, le dijo:
+-Habláis de modo, señora Clara, que no puedo entenderos: declaraos más y decidme qué es lo que decís de alma y de lugares, y deste músico, cuya voz tan inquieta os tiene. Pero no me digáis nada por ahora; que no quiero perder, por acudir a vuestro sobresalto, el gusto que recibo de oír al que canta; que me parece que con nuevos versos y nuevo tono torna a su canto.
+-Sea en buen hora -respondió Clara.
+Y por no otile, se tapó con las manos entrambos oídos, de lo que también se admiró Dorotea; la cual, estando atenta a lo que se cantaba, vio que proseguían en esta manera:
+-Dulce esperanza mía,
+que, rompiendo imposibles y malezas, sigues firme la vía
+que tú mesma te finges y aderezas;
+no te desmaye el verte
+a cada paso junto al de tu muerte.
+No alcanzan perezosos
+honrados triunfos ni victoria alguna,
+ni pueden ser dichosos
+los que, no contrastando a la fortuna, entregan desvalidos
+al ocio blando todos los sentidos.
+Que Amor sus glorias venda
+caras, es gran razón y es trato justo; pues no hay más rica prenda
+que la que se quilata por su gusto;
+y es cosa manifiesta
+que no es de estima lo que poco cuesta. Amorosas porfías
+tal vez alcanzan imposibles cosas;
+y ansí, aunque con las mías
+sigo de amor las más dificultosas,
+no por eso recelo
+de no alcanzar desde la tierra el cielo.
+Aquí dio fin la voz, y principio a nuevos sollozos Clara; todo lo cual encendía el deseo de Dorotea, que deseaba saber la causa de tan suave canto y de tan triste lloro; y así, le volvió a preguntar qué era lo que le quería decir denantes. Entonces Clara, temerosa de que Luscinda no la oyese, abrazando estrechamente a Dorotea, puso su boca tan junto del oído de Dorotea, que seguramente podía hablar sin ser de otro sentida, y así le dijo:
+-Este que canta, señora mía, es un hijo de un caballero natural del reino de Aragón, señor de dos lugares, el cual vivía frontero de la casa de mi padre en la corte; y aunque mi padre tenía las ventanas de su casa con lienzos en el invierno y celosías en el verano, yo no se lo que fue, ni lo que no, que este caballero, que andaba al estudio, me vio, ni sé si en la iglesia o en otra parte. Finalmente, él se enamoró de mi, y me lo dio a entender desde las ventanas de su casa con tantas señas y con tantas lágrimas, que yo le hube de creer, y aun querer, sin saber lo que me quería. Entre las señas que me hacia era una de juntarse la una mano con la otra, dándome a entender que se casaría conmigo; y aunque yo me holgaría mucho de que ansí fuera, como sola y sin madre, no sabía con quién comunicallo, y así, lo dejé estar sin dalle otro favor si no era, cuando estaba mi padre fuera de casa y el suyo también, alzar un poco el lienzo o la celosía, y dejarme ver toda; de lo que él hacía tanta fiesta, que daba señales de volverse loco. Llegóse en esto el tiempo de la partida de mi padre, la cual él supo, y no de mí, pues nunca pude decírselo. Cayó malo, a lo que yo entiendo, de pesadumbre, y así, el día que nos partimos nunca pude verle para despedirme dél siquiera con los ojos; pero a cabo de dos días que caminábamos, al entrar de una posada en un lugar una jornada de aquí, le vi a la puerta del mesón, puesto en hábito de mozo de mulas, tan al natural, que si yo no le trujera tan retratado en mi alma, fuera imposible conocelle. Conocíle, admiréme y alegréme; él me miró a hurto de mi padre, de quien él siempre se esconde cuando atraviesa por delante de mi en los caminos y en las posadas do llegamos; y como yo sé quién es, y considero que por amor de mí viene a pie y con tanto trabajo, muérome de pesadumbre, y adonde él pone los pies pongo yo los ojos. No sé con qué intención viene, ni cómo ha podido escaparse de su padre, que le quiere extraordinariamente, porque no tiene otro heredero, y porque él lo merece, como lo verá vuestra merced cuando le vea. Y más le sé decir: que todo aquello que canta lo saca de su cabeza; que he oído decir que es muy grande estudiante y poeta. Y hay más: que cada vez que le veo o le oigo cantar tiemblo toda y me sobresalto, temerosa de que mi padre le conozca, y venga en conocimiento de nuestros deseos. En mi vida le he hablado palabra, y, con todo eso, le quiero de manera, que no he de poder vivir sin él. Esto es, señora mía, todo lo que os puedo decir deste músico cuya voz tanto os ha contentado; que en sola ella echaréis bien de ver que no es mozo de mulas, como decís, sino señor de almas y lugares como yo os he dicho.
+-No digáis más, señora doña Clara -dijo a esta sazón Dorotea, y esto, besándola mil veces-; no digáis más, digo, y esperad que venga el nuevo día; que yo espero en Dios de encaminar de manera vuestros negocios, que tengan el felice fin que tan honestos principios merecen.
+-¡Ay, señora! -dijo doña Clara-, ¿qué fin se puede esperar, si su padre es tan principal y tan rico, que le parecerá que aun yo no puedo ser criada de su hijo, cuanto más su esposa? Pues casarme yo a hurto de mi padre, no lo haré por cuanto hay en el mundo. No querría sino que este mozo se volviese y me dejase; quizá con no velle y con la gran distancia del camino que llevamos se me aliviaría la pena que ahora llevo; aunque sé decir que este remedio que me imagino me ha de aprovechar bien poco. No sé qué diablos ha sido esto, ni por dónde se ha entrado teste amor que le tengo, siendo yo tan muchacha y él tan muchacho, que en verdad que creo que somos de una edad mesma, y que yo no tengo cumplidos diez
+y seis años; que para el día de San Miguel que vendrá dice mi padre que los cumplo.
+No pudo dejar de reírse Dorotea oyendo cuán como niña hablaba doña Clara, a quien dijo:
+-Reposemos, señora, lo poco que creo que queda de la noche, y amanecerá Dios y medraremos, o mal me andarán las manos.
+Sosegáronse con esto, y en toda la venta se guardaba un grande silencio; solamente no dormían la hija de la ventera y Maritornes su criada, las cuales, como ya sabían el humor de que pecaba don Quijote, y que estaba fuera de la venta armado y a caballo haciendo la guarda, determinaron las dos de hacelle alguna burla, o, a lo menos, de pasar un poco el tiempo oyéndole sus disparates.
+Es, pues, el caso, que en toda la venta no había ventana que saliese al campo, sino un agujero de un pajar, por donde echaban la paja por defuera. A este agujero se pusieron las dos semidoncellas, y vieron que don Quijote estaba a caballo, recostado sobre su lanzón, dando de cuando en cuando tan dolientes y profundos suspiros, que parecía que con cada uno se le arrancaba el alma. Y asimesmo oyeron que decía con voz blanda, regalada y amorosa:
+-¡Oh mi señora Dulcinea del Toboso, extremo de toda hermosura, fin y remate de la discreción, archivo del mejor donaire, depósito de la honestidad, y, ultimadamente, idea de todo lo provechoso, honesto y deleitable que hay en el mundo! Y ¿qué fará agora la tu merced? ¿Si tendrás por ventura las mientes en tu cautivo caballero, que a tantos peligros, por sólo servirte, de su voluntad ha querido ponerse? Dame tú nuevas della, ¡oh luminaria de las tres caras! Quizá con envidia de la suya la estás ahora mirando, que, o paseándose por alguna galería de sus suntuosos palacios, o ya puesta de pechos sobre algún balcón, está considerando cómo, salva su honestidad y grandeza, ha de amansar la tormenta que por ella este mi cuitado corazón padece, qué gloria ha de dar a mis penas, qué sosiego a mi cuidado, y, finalmente, qué vida a mi muerte y qué premio a mis servicios. Y tú, sol, que ya debes de estar apriesa ensillando tus caballos, por madrugar y salir a ver a mi señora, así como la veas, suplicote que de mi parte la saludes; pero guárdate que al verla y saludarla no le des paz en el rostro; que tendré más celos de ti que tú los tuviste de aquella ligera ingrata que tanto te hizo sudar y correr por los llanos de Tesalia, o por las riberas de Peneo, que no me acuerdo bien por dónde corriste entonces celoso y enamorado.
+A este punto llegaba entonces don Quijote en su tan lastimero razonamiento, cuando la hija de la ventera le comenzó a cecear y a decirle:
+-Señor mío, lléguese acá la vuestra merced, si es servido.
+A cuyas señas y voz volvió don Quijote la cabeza, y vio a la luz de la luna, que entonces estaba en toda su claridad, cómo le llamaban del agujero que a él le pareció ventana, y aun con rejas doradas, como conviene que las tengan tan ricos castillos como él se imaginaba que era aquella venta; y luego en el instante se le representó en su loca imaginación que otra vez, como la pasada, la doncella fermosa, hija de la señora de aquel castillo, vencida de su amor, tornaba a solicitarle; y con este pensamiento, por no mostrarse descortés y desagradecido, volvió las riendas a Rocinante y se llegó al agujero, y así como vio a las dos mozas, dijo:
+-Lástima os tengo, fermosa señora, de que hayades puesto vuestras amorosas mientes en parte donde no es posible corresponderos conforme merece vuestro gran valor y gentileza; de lo que no debéis dar culpa a este miserable andante caballero, a quien tiene Amor imposibilitado de poder entregar su voluntad a otra que aquella que, en el punto que sus ojos la vieron, la hizo señora absoluta de su alma. Perdonadme, buena señora, y recogeos en vuestro aposento, y no queráis con significarme más vuestros deseos que yo me muestre más desagradecido; y si del amor que me tenéis halláis en mí otra cosa con que satisfaceros que el mismo amor no sea, pedídmela; que yo os juro por aquella ausente enemiga dulce mía de dárosla en continente, si bien me pidiésedes una guedeja de los cabellos de Medusa, que eran todos culebras, o ya los mesmos rayos del sol, encerrados en una redoma.
+-No ha menester nada deso mi señora, señor caballero -dijo a este punto Maritornes.
+-Pues ¿qué ha menester, discreta dueña, vuestra señora? -respondió don Quijote.
+-Sola una de vuestras hermosas manos -dijo Maritornes-, por poder deshogar con ella el gran deseo que a este agujero la ha traído, tan a peligro de su honor, que si su señor padre la hubiera sentido, la menor tajada della fuera la oreja.
+-¡Ya quisiera yo ver eso! -respondió don Quijote-. Pero él se guardará bien deso, si ya no quiere hacer el más desastrado fin que padre hizo en el mundo, por haber puesto las manos en los delicados miembros de su enamorada hija.
+Parecióle a Maritornes que sin duda don Quijote daría la mano que le habían pedido, y, proponiendo en su pensamiento lo que había de hacer, se bajó del agujero y se fue a la caballeriza, donde tomó el cabestro del jumento de Sancho Panza, y con mucha presteza se volvió a su agujero, a tiempo que don Quijote se había puesto de pies sobre la silla de Rocinante por alcanzar a la ventana enrejada donde se imaginaba estar la ferida doncella; y al darle la mano, dijo:
+-Tomad, señora, esa mano, o, por mejor decir, ese verdugo de los malhechores del mundo; tomad esa mano, digo, a quien no ha tocado otra mujer alguna, ni aun la de aquella que tiene entera posesión de todo mi cuerpo. No os la doy para que la beséis, sino para que miréis la contextura de sus nervios, la trabazón de sus músculos, la anchura y espaciosidad de sus venas; de donde sacaréis qué tal debe de ser la fuerza del brazo que tal mano tiene.
+-Ahora lo veremos -dijo Maritornes.
+Y haciendo una lazada corrediza al cabestro, se la echó a la muñeca, y bajándose del agujero, ató lo que quedaba al cerrojo de la puerta del pajar, muy fuertemente. Don Quijote, que sintió la aspereza del cordel en su muñeca, dijo:
+-Más parece que vuestra merced me ralla que no me regala la mano; no la tratéis tan mal, pues ella no tiene la culpa del mal que mi voluntad os hace, ni es bien que en tan poca parte venguéis el todo de vuestro enojo. Mirad que quien quiere bien no se venga tan mal.
+Pero todas estas razones de don Quijote ya no las escuchaba nadie, porque así como Maritornes le ató, ella y la otra se fueron, muertas de risa, y le dejaron asido de manera que fue imposible soltarse.
+Estaba, pues, como se ha dicho, de pies sobre Rocinante, metido todo el brazo por el agujero, y atado de la muñeca, y al cerrojo de la puerta, con grandísimo temor y cuidado que si Rocinante se desviaba a un cabo o a otro, había de quedar colgado del brazo; y así, no osaba hacer movimiento alguno, puesto que de la paciencia y quietud de Rocinante bien se podía esperar que estaría sin moverse un siglo entero.
+En resolución, viéndose don Quijote atado, y que ya las damas se habían ido, se dio a imaginar que todo aquello se hacía por vía de encantamento, como la vez pasada, cuando en aquel mesmo castillo le molió aquel moro encantado del harriero; y maldecía entre si su poca discreción y discurso, pues habiendo salido tan mal la vez primera de aquel castillo, se había aventurado a entrar en él la segunda, siendo advertimiento de caballeros andantes que cuando han probado una aventura y no han salido bien con ella, es señal que no está para ellos guardada, sino para otros, y así, no tienen necesidad de probarla segunda vez. Con todo esto, tiraba de su brazo, por ver si podía soltarse; mas él estaba tan bien asido, que todas sus pruebas fueron en vano. Bien es verdad que tiraba con tiento, porque Rocinante no se moviese; y aunque él quisiera sentarse y ponerse en la silla, no podía sino estar en pie, o arrancarse la mano.
+Allí fue el desear de la espada de Amadís, contra quien no tenía fuerza encantamento alguno; allí fue el maldecir de su fortuna; allí fue el exagerar la falta que haría en el mundo su presencia el tiempo que allí estuviese encantado, que sin duda alguna se había creído que lo estaba; allí el acordarse de nuevo de su querida Dulcinea del Toboso; allí fue el llamar a su buen escudero Sancho Panza, que, sepultado en sueño y tendido sobre el albarda de su jumento, no se acordaba en aquel instante de la madre que lo había parido; allí llamó a los sabios Lirgandeo y Alquife, que le ayudasen; allí invocó a su buena amiga Urganda, que le socorriese, y, finalmente, allí le tomó la mañana, tan desesperado y confuso, que bramaba como un toro; porque no esperaba él que con el día se remediaría su cuita, porque la tenía por eterna, teniéndose por encantado. Y hacíale creer esto ver que Rocinante poco ni mucho se movía; y creía que de aquella suerte, sin comer ni beber ni dormir, habían de estar él y su caballo, hasta que aquel mal influjo de las estrellas se pasase, o hasta que otro más sabio encantador le desencantase.
+Pero engañóse mucho en su creencia, porque apenas comenzó a amanecer, cuando llegaron a la venta cuatro hombres de a caballo muy bien puestos y aderezados, con sus escopetas sobre los arzones. Llamaron a la puerta de la venta, que aún estaba cerrada, con grandes golpes; lo cual visto por don Quijote desde donde aún no dejaba de hacer la centinela, con voz arrogante y alta dijo:
+-Caballeros, o escuderos, o quienquiera que seáis, no tenéis para qué llamar a las puertas deste castillo; que asaz de claro está que a tales horas, o los que están dentro duermen, o no tienen por costumbre de abrirse las fortalezas, hasta que el sol esté tendido por todo el suelo. Desviaos afuera, y esperad que aclare el día, y entonces veremos si será justo, o no, que os abran.
+-¿Qué diablos de fortaleza o castillo es éste -dijo uno-, para obligarnos a guardar esas ceremonias? Si sois el ventero, mandad que nos abran; que somos caminantes que no queremos más de dar cebada a nuestras cabalgaduras y pasar adelante, porque vamos de priesa.
+-¿Paréceos, caballeros, que tengo yo talle de ventero? -respondió don Quijote.
+-No sé de qué tenéis talle -respondió el otro-; pero sé que decís disparates en llamar castillo a esta venta.
+-Castillo es -replicó don Quijote-, y aun de los mejores de toda esta provincia; y gente tiene dentro que ha tenido cetro en la mano y corona en la cabeza.
+-Mejor fuera al revés -dijo el caminante-: el centro en la cabeza y la corona en la mano. Y será, si a mano viene, que debe de estar dentro alguna compañía de representantes, de los cuales es tener a menudo esas coronas y cetros que decís; porque en una venta tan pequeña, y adonde se guarda tanto silencio como ésta, no creo yo que se alojan personas dignas de corona y cetro.
+-Sabéis poco del mundo -replicó don Quijote-, pues ignoráis los casos que suelen acontecer en la caballería andante.
+Cansábanse los compañeros que con el preguntante venían del coloquio que con don Quijote pasaba, y así, tornaron a llamar con grande furia; y fue de modo, que el ventero despertó, y aun todos cuantos en la venta estaban, y así, se levantó a preguntar quién llamaba. Sucedió en este tiempo que una de las cabalgaduras en que venían los cuatro que llamaban se llegó a oler a Rocinante, que melancólico y triste, con las orejas caídas, sostenía sin moverse a su estirado señor; y, como, en fin, era de carne, aunque parecía de leño, no pudo dejar de resentirse y tornar a oler a quien le llegaba a hacer caricias; y así, no se hubo movido tanto cuanto, cuando se desviaron los juntos pies de don Quijote, y, resbalando de la silla, dieran con él en el suelo, a no quedar colgado del brazo; cosa que le causó tanto dolor, que creyó, o que la muñeca le cortaban, o que el brazo se le arrancaba; porque él quedó tan cerca del suelo, que con los extremos de las puntas de los pies besaba la tierra, que era en su perjuicio, porque, como sentía lo poco que le faltaba para poner las plantas en la tierra, fatigábase y estirábase cuanto podía por alcanzar al suelo, bien así como los que están en el tormento de la garrucha, puestos a toca, no toca, que ellos mesmos son causa de acrecentar su dolor, con el ahínco que ponen en estirarse, engañados de la esperanza que se les representa, que con poco más que se estiren llegarán al suelo.
+Capítulo 44: Donde se prosiguen los inauditos sucesos de la venta
+En efeto, fueron tantas las voces que don Quijote dio, que abriendo de presto las puertas de la venta, salió el ventero, despavorido, a ver quién tales gritos daba, y los que estaban fuera hicieron lo mesmo. Maritornes, que ya había despertado a las mismas voces, imaginando lo que podía ser, se fue al pajar y desató, sin que nadie lo viese, el cabestro que a don Quijote sostenía, y él dio luego en el suelo, a vista del ventero y de los caminantes, que, llegándose a él, le preguntaron qué tenía, que tales voces daba. El, sin responder palabra, se quitó el cordel de la muñeca, y levantándose en pie, subió sobre Rocinante, embrazó su adarga, enristró su lanzón, y tomando buena parte del campo, volvió a medio galope, diciendo:
+-Cualquiera que dijere que yo he sido con justo titulo encantado, como mi señora la princesa Micomicona me dé licencia para ello, yo le desmiento, le rieto y desafío a singular batalla.
+Admirados se quedaron los nuevos caminantes de las palabras de don Quijote; pero el ventero les quitó de aquella admiración, diciéndoles que era don Quijote, y que no había que hacer caso dél, porque estaba fuera de juicio.
+Preguntáronle al ventero si acaso había llegado a aquella venta un muchacho de hasta edad de quince años, que venía vestido como mozo de mulas, de tales y tales señas, dando las mesmas que traía el amante de doña Clara. El ventero respondió que había tanta gente en la venta, que no había echado de ver en el que preguntaban. Pero habiendo visto uno dellos el coche donde había venido el oidor, dijo:
+-Aquí debe de estar sin duda, porque éste es el coche que él dicen que sigue; quédese uno de nosotros a la puerta y entren los demás a buscarle; y aun sería bien que uno de nosotros rodease toda la venta, porque no se fuese por las bardas de los corrales.
+-Así se hará -respondió uno dellos.
+Y entrándose los dos dentro, uno se quedó a la puerta y el otro se fue a rodear la venta; todo lo cual veía el ventero, y no sabía atinar para qué se hacían aquellas diligencias, puesto que bien creyó que buscaban a aquel mozo cuyas señas le habían dado.
+Ya a esta sazón aclaraba el día; y así por esto como por el mido que don Quijote había hecho, estaban todos despiertos y se levantaban, especialmente doña Clara y Dorotea, que la una con sobresalto de tener tan cerca a su amante, y la otra con el deseo de verle, habían podido dormir bien mal aquella noche. Don Quijote, que vio que ninguno de los cuatro caminantes hacía caso dél, ni le respondían a su demanda, moría y rabiaba de despecho y saña; y si él hallara en las ordenanzas de su caballería que lícitamente podía el caballero andante tomar y emprender otra empresa habiendo dado su palabra y fe de no ponerse en ninguna hasta acabar la que había prometido, él embistiera con todos, y les hiciera responder mal de su grado; pero por parecerle no convenirle ni estarle bien comenzar nueva empresa hasta poner a Micomicona en su reino, hubo de callar y estarse quedo, esperando a ver en qué paraban las diligencias de aquellos caminantes; uno de los cuales halló al mancebo que buscaba, durmiendo al lado de un mozo de mulas, bien descuidado de que nadie ni le buscase, ni menos de que le hallase. El hombre le trabó del brazo y le dijo:
+-Por cierto, señor don Luis, que responde bien a quien vos sois el hábito que tenéis, y que dice bien la cama en que os hallo al regalo con que vuestra madre os crió.
+Limpióse el mozo los soñolientos ojos, y miró de espacio al que le tenía asido, y luego conoció que era criado de su padre, de que recibió tal sobresalto, que no acertó o no pudo hablarle palabra por un buen espacio; y el criado prosiguió diciendo:
+-Aquí no hay que hacer otra cosa, señor don Luis, sino prestar paciencia, y dar la vuelta a casa, si ya vuestra merced no gusta que su padre y mi señor la dé al otro mundo; porque no se puede esperar otra cosa de la pena con que queda por vuestra ausencia.
+-Pues ¿cómo supo mi padre -dijo don Luis- que yo venía este camino y en este traje?
+-Un estudiante -respondió el criado- a quien distes cuenta de vuestros pensamientos fue el que lo descubrió, movido a lástima de las que vio que hacia vuestro padre al punto que os echó menos; y así, despachó a cuatro de sus criados en vuestra busca, y todos estamos aquí a vuestro servicio, más contentos de lo que
+imaginar se puede, por el buen despacho con que tornaremos, llevándoos a los ojos que tanto os quieren.
+-Eso será como yo quisiere, o como el cielo lo ordenare -respondió don Luis.
+-¿Qué habéis de querer, o qué ha de ordenar el cielo fuera de consentir en volveros? Porque no ha de ser posible otra cosa. Todas estas razones que entre los dos pasaban oyó el mozo de mulas junto a quien don Luis estaba; y levantándose de allí, fue a decir lo que pasaba a don Fernando y a Cardenio, y a los demás, que ya vestido se habían; a los cuales dijo cómo aquel hombre llamaba de don a aquel muchacho, y las razones que pasaban, y cómo le quería volver a casa de su padre, y el mozo no quería. Y con esto, y con lo que dél sabían, de la buena voz que el cielo le había dado, vinieron todos en gran deseo de saber más particularmente quién era, y aun de ayudarle si alguna fuerza le quisiesen hacer; y así, se fueron hacia la parte donde aún estaba hablando y porfiando con su criado.
+Salía en esto Dorotea de su aposento, y tras ella doña Clara, toda turbada; y llamando Dorotea a Cardenio aparte, le contó en breves razones la historia del músico y de doña Clara; a quien el también dijo lo que pasaba de la venida a buscarle los criados de su padre, y no se lo dijo tan callando, que lo dejase de oír Clara; de lo que quedó tan fuera de si, que si Dorotea no llegara a tenerla, diera consigo en el suelo; Cardenio dijo a Dorotea que se volviesen al aposento; que él procuraría poner remedio en todo, y ellas lo hicieron.
+Ya estaban todos los cuatro que venían a buscar a don Luis dentro de la venta y rodeados dél, persuadiéndole que luego, sin detenerse un punto, volviese a consolar a su padre. El respondió que en ninguna manera lo podía hacer hasta dar fin a un negocio en que le iba la vida, la honra y el alma. Apretáronle entonces los criados, diciéndole que en ningún modo volverían sin él, y que le llevarían, quisiese o no quisiese.
+-Eso no haréis vosotros -replicó don Luis-, si no es llevándome muerto; aunque de cualquiera manera que me llevéis, será llevarme sin vida.
+Ya a esta sazón habían acudido a la porfía todos los más que en la venta estaban, especialmente Cardenio, don Fernando, sus camaradas, el oidor, el cura, el barbero y don Quijote, que ya le pareció que no había necesidad de guardar más el castillo. Cardenio, como ya sabia la historia del mozo, preguntó a los que llevarle querían que qué les movía a querer llevar contra su voluntad a aquel muchacho.
+-Muévenos -respondió uno de los cuatro- dar la vida a su padre, que por la ausencia deste caballero queda a peligro de perderla.
+A esto dijo don Luis:
+-No hay para qué se dé cuenta aquí de mis cosas; yo soy libre, y volveré si me diere gusto, y si no, ninguno de vosotros me ha de hacer fuerza.
+-Harásela a vuestra merced la razón -respondió el hombre-; y cuando ella no bastare con vuestra merced, bastará con nosotros para hacer a lo que venimos y lo que somos obligados.
+-Sepamos qué es esto de raíz -dijo a este tiempo el oidor.
+Pero el hombre, que lo conoció, como vecino de su casa, respondió:
+-¿No conoce vuestra merced, señor oidor, a este caballero, que es el hijo de su vecino, el cual se ha ausentado de casa de su padre en el hábito tan indecente a su calidad como vuestra merced puede ver?
+Miróle entonces el oidor más atentamente y conocióle; y abrazándole, dijo:
+-¿Qué niñerías son éstas, señor don Luis, o qué causas tan poderosas, que os han movido a venir desta manera, y en este traje, que dice tan mal con la calidad vuestra?
+Al mozo se le vinieron las lágrimas a los ojos, y no pudo responder palabra al oidor; el cual dijo a los cuatro que se sosegasen, que todo se haría bien; y tomando por la mano a don Luis, le apartó a una parte y le preguntó qué venida había sido aquélla.
+Y en tanto que le hacía estas y otras preguntas, oyeron grandes voces a la puerta de la venta, y era la causa dellas que dos huéspedes que aquella noche habían alojado en ella, viendo a toda la gente ocupada en saber lo que los cuatro buscaban, habían intentado a irse sin pagar lo que debían; mas el ventero, que atendía más a su negocio que a los ajenos, les asió al salir de la puerta, y pidió su paga, y les afeó su mala intención con tales palabras, que les movió a que les respondiesen con los puños; y así, le comenzaron a dar tal mano, que el pobre ventero tuvo necesidad de dar voces y pedir socorro. La ventera y su hija no vieron a otro más desocupado para poder socorrerle que a don Quijote, a quien la hija de la ventera dijo:
+-Socorra vuestra merced, señor caballero, por la virtud que Dios le dio, a mi pobre padre; que dos malos hombres le están moliendo como a cibera.
+A lo cual respondió don Quijote muy de espacio y con mucha flema:
+-Fermosa doncella, no ha lugar por ahora vuestra petición, porque estoy impedido de entremeterme en otra aventura en tanto que no diere cima a una en que mí palabra me ha puesto. Mas lo que yo podré hacer por serviros, es lo que ahora diré: corred y decid a vuestro padre que se entretenga en esa batalla lo mejor que pudiere, y que no se deje vencer en ningún modo, en tanto que yo pido licencia a la princesa Micomicona para poder socorrerle en su cuita; que si ella me la da, tened por cierto que yo le sacaré della.
+-¡Pecadora de mí! -dijo a esto Maritornes, que estaba delante-. Primero que vuestra merced alcance esa licencia que dice estará ya mi señor en el otro mundo.
+-Dadme vos, señora, que yo alcance la licencia que digo -respondió don Quijote-; que como yo la tenga, poco hará al caso que él esté en el otro mundo; que de allí le sacaré a pesar del mismo mundo que lo contradiga; o, por lo menos, os daré tal venganza de los que allá le hubieren enviado, que quedéis más que medianamente satisfechas.
+Y sin decir más, se fue a poner de hinojos ante Dorotea, pidiéndole con palabras caballerescas y andantescas que la su grandeza fuese servida de darle licencia de acorrer y socorrer al castellano de aquel castillo, que estaba puesto en una grave mengua.
+La princesa se la dio de buen talante, y él luego, embrazando su adarga y poniendo mano a su espada, acudió a la puerta de la venta, adonde aún todavía traían los dos huéspedes a mal traer al ventero; pero así como llegó, embazó y se estuvo
+quedo, aunque Maritornes y la ventera le decían que en qué se detenía, que socorriese a su señor y marido.
+-Deténgome -dijo don Quijote- porque no me es lícito poner mano a la espada contra gente escuderil; pero llamadme aquí a mi escudero Sancho; que a él toca y atañe esta defensa y venganza.
+Esto pasaba en la puerta de la venta, y en ella andaban las puñadas y mojicones muy en su punto, todo en daño del ventero y en rabia de Maritornes, la ventera y su hijo, que se desesperaban de ver la cobardía de don Quijote, y de lo mal que lo pasaba su marido, señor y padre.
+Pero dejámosle aquí, que no faltara quien le socorra, o si no, sufra y calle el que se atreve a más de a lo que a sus fuerzas le prometen, y volvámonos atrás cincuenta pasos, a ver qué fue lo que don Luis respondió al oidor, que le dejamos aparte, preguntándole la causa de su venida a pie y de tan vil traje vestido. A lo cual el mozo, asiéndole fuertemente de las manos, como en señal de que algún gran dolor le apretaba el corazón, y derramando lágrimas en grande abundancia, le dijo:
+-Señor mío, yo no sé deciros otra cosa sino que desde el punto que quiso el cielo y facilitó nuestra vecindad que yo viese a mi señora doña Clara, hija vuestra y señora mía, desde aquel instante la hice dueña de mi voluntad; y si la vuestra, verdadero señor y padre mío, no lo impide, en este mesmo día ha de ser mi esposa. Por ella dejé la casa de mi padre, y por ella me puse en este traje, para seguirla dondequiera que fuese, como la saeta al blanco, o como el marinero al norte. Ella no sabe de mis deseos más de lo que ha podido entender de algunas veces que desde lejos ha visto llorar mis ojos. Ya, señor, sabéis la riqueza y la nobleza de mis padres, y cómo yo soy el único heredero; si os parece que éstas son partes para que os aventuréis a hacerme en todo venturoso, recebidme luego por vuestro hijo; que si mi padre, llevado de otros disignios suyos, no gustare deste bien que yo supe buscarme, más fuerza tiene el tiempo para deshacer y mudar las cosas que las humanas voluntades.
+Calló en diciendo esto el enamorado mancebo, y el oidor quedó en oírle suspenso, confuso y admirado, así de haber oído el modo y la discreción con que don Luis le había descubierto su pensamiento, como de verse en punto que no sabía el que poder tomar en tan repentino y no esperado negocio; y así, no respondió otra cosa sino que se sosegase por entonces, y entretuviese a sus criados, que por aquel día no le volviesen, porque se tuviese tiempo para considerar lo que mejor a todos estuviese. Besóle las manos por fuerza don Luis, y aun se las bañó con lágrimas, cosa que pudiera enternecer un corazón de mármol, no sólo el del oidor, que, como discreto, ya había conocido cuán bien le estaba a su hija aquel matrimonio; puesto que, si fuera posible, lo quisiera efetuar con voluntad del padre de don Luis, del cual sabía que pretendía hacer de titulo a su hijo.
+Ya a esta sazón estaban en paz los huéspedes con el ventero, pues por persuasión y buenas razones de don Quijote, más que por amenazas, le habían pagado todo lo que él quiso, y los criados de don Luis aguardaban el fin de la plática del oidor y la resolución de su amo, cuando el demonio, que no duerme, ordenó que en aquel mesmo punto entró en la venta el barbero a quien don Quijote quitó el yelmo de Mambrino, y Sancho Panza los aparejos del asno que trocó con los del suyo; el cual barbero, llevando su jumento a la caballeriza, vio a Sancho Panza que estaba aderezando no sé qué de la albarda, y así como la vio la conoció, y se atrevió a arremeter a Sancho, diciendo:
+-¡Ah, don ladrón, que aquí os tengo! ¡Venga mi bacía y mi albarda, con todos mis aparejos que me robastes!
+Sancho, que se vio acometer tan de improviso y oyó los vituperios que le decían, con la una mano asió de la albarda, y con la otra dio un mojicón al barbero, que le bañó los dientes en sangre; pero no por esto dejó el barbero la presa que tenía hecha en el albarda: antes alzó la voz de tal manera, que todos los de la venta acudieron al mido y pendencia, y decía:
+-¡Aquí del Rey y de la justicia; que sobre cobrar mi hacienda me quiere matar este ladrón, salteador de caminos!
+-Mentís -respondió Sancho-; que yo no soy salteador de caminos; que en buena guerra ganó mi señor don Quijote estos despojos.
+Ya estaba don Quijote delante, con mucho contento de ver cuán bien se defendía y ofendía su escudero, y túvole desde allí adelante por hombre de pro, y propuso en su corazón de armalle caballero en la primera ocasión que se le ofreciese, por parecerle que sería en él bien empleada la orden de la caballería. Entre otras cosas que el barbero decía en el discurso de la pendencia, vino a decir:
+-Señores, así esta albarda es mía como la muerte que debo a Dios, y así la conozco como si la hubiera parido; y ahí está mi asno en el establo, que no me dejará mentir; si no, pruébensela, y si no le viniere pintiparada, yo que daré por infame. Y hay más: que el mismo día que ella se me quitó, me quitaron también una bacía de azófar nueva, que no se había estrenado, que era señora de un escudo.
+Aquí no se pudo contener don Quijote sin responder, y poniéndose entre los dos y apartándoles, depositando la albarda en el suelo, que la tuviese de manifiesto hasta que la verdad se aclarase, dijo:
+-¡Porque vean vuestras mercedes clara y manifiestamente el error en que está este buen escudero, pues llama bacía a lo que fue, es y será yelmo de Mambrino, el cual se le quité yo en buena guerra, y me hice señor dél con ligitima y lícita posesión! En lo del albarda no me entremeto; que lo que en ello sabré decir es que mi escudero Sancho me pidió licencia para quitar los jaeces del caballo deste vencido cobarde, y con ellos adornar el suyo; yo se la di, y él los tomó, y de haberse convertido de jaez en albarda no sabré dar otra razón si no es la ordinaria: que como esas transformaciones se ven en los sucesos de la caballería; para confirmación de lo cual, corre, Sancho hijo, y saca aquí el yelmo que este buen hombre dice ser bacía.
+-¡Pardiez, señor -dijo Sancho-, si no tenemos otra prueba de nuestra intención que la que vuestra merced dice, tan bacía es el yelmo de Mambrino como el jaez deste buen hombre albarda!
+-Haz lo que te mando -replicó don Quijote-; que no todas las cosas deste castillo han de ser guiadas por encantamento.
+Sancho fue a do estaba la bacía y la trujo; y así como don Quijote la vio, la tomó en las manos y dijo:
+-Miren vuestras mercedes con qué cara podía decir este escudero que ésta es bacía, y no el yelmo que yo he dicho; y juro por la orden de caballería que profeso
+que este yelmo fue el mismo que yo le quité sin haber añadido en él ni quitado cosa alguna.
+-En eso no hay duda -dijo a esta sazón Sancho-; porque desde que mi señor le ganó hasta agora no ha hecho con él más de una batalla, cuando libró a los sin ventura encadenados; y si no fuera por este baciyelmo, no lo pasara entonces muy bien, porque hubo asaz de pedradas en aquel trance.
+Capítulo 45: Donde se acaba de averiguar la duda del yelmo de Mambrino y de la albarda, y otras aventuras sucedidas, con toda verdad
+-¿Qué les parece a vuestras mercedes, señores -dijo el barbero-, de lo que afirman estos gentiles hombres, pues aún porfían que ésta no es bacía, sino yelmo?
+-Y quien lo contrario dijere -dijo don Quijote-, le haré yo conocer que miente, si fuere caballero, y si escudero, que remiente mil veces.
+Nuestro barbero, que a todo estaba presente, como tenía tan bien conocido el humor de don Quijote, quiso esforzar su desatino y llevar adelante la burla, para que todos riesen, y dijo hablando con el otro barbero:
+-Señor barbero, o quien sois, sabed que yo también soy de vuestro oficio, y tengo más ha de veinte años carta de examen, y conozco muy bien de todos los instrumentos de la barbería, sin que le falte uno; y ni más ni menos fui un tiempo
+en mi mocedad soldado, y sé también qué es yelmo, y qué es morrión, y celada de encaje, y otras cosas tocantes a la milicia, digo, a los géneros de armas de los soldados; y digo, salvo mejor parecer, remitiéndome siempre al mejor entendimiento, que esta pieza que está aquí delante y que este buen señor tiene en las manos no sólo no es bacía de barbero, pero está tan lejos de serlo como está lejos lo blanco de lo negro y la verdad de la mentira; también digo que éste, aunque es yelmo, no es yelmo entero.
+-No, por cierto -dijo don Quijote-, porque le falta la mitad, que es la babera. -Así es -dijo el cura, que ya había entendido la intención de su amigo el barbero.
+Y lo mismo confirmó Cardenio, don Fernando y sus camaradas; y aun el oidor, si no estuviera tan pensativo con el negocio de don Luis, ayudara, por su parte, a la burla; pero las veras de lo que pensaba le tenían tan suspenso, que poco o nada atendía a aquellos donaires.
+-¡Válame Dios! -dijo a esta sazón el barbero burlado-. ¿Que es posible que tanta gente honrada diga que ésta no es bacía, sino yelmo? Cosa parece ésta que puede poner en admiración a toda una universidad, por discreta que sea. Basta: si es que esta bacía es yelmo, también debe de ser esta albarda jaez de caballo, como este señor ha dicho.
+-A mí albarda me parece -dijo don Quijote-; pero ya he dicho que en eso no me entremeto.
+-De que sea albarda o jaez -dijo el cura- no está en más de decirlo el señor don Quijote; que en estas cosas de la caballería todos estos señores y yo le damos la ventaja.
+-Por Dios, señores míos -dijo don Quijote-, que son tantas y tan extrañas las cosas que en este castillo, en dos veces que en él he alojado, me han sucedido, que no me atreva a decir afirmativamente ninguna cosa de lo que acerca de lo que en él se contiene se preguntare, porque imagino que cuanto en él se trata va por vía de encatamento. La primera vez me fatigó mucho un moro encantado que en él hay, y a Sancho no le fue muy bien con otros sus secuaces; y anoche estuve colgado deste brazo casi dos horas, sin saber cómo ni cómo no vine a caer en aquella desgracia. Así que ponerme yo agora en cosa de tanta confusión a dar mi parecer, será caer en juicio temerario. En lo que toca a lo que dicen que ésta es bacía, y no yelmo, ya yo tengo respondido; pero en lo de declarar si ésa es albarda o jaez, no me atrevo a dar sentencia definitiva; sólo lo dejo al buen parecer de vuestras mercedes; quizá por no ser armados caballeros como yo lo soy no tendrán que ver con vuestras mercedes los encantamentos deste lugar, y tendrán los entendimientos libres, y podrán juzgar de las cosas deste castillo como ellas son real y verdaderamente, y no como a mí me parecían.
+-No hay duda -respondió a esto don Fernando-, sino que el señor don Quijote ha dicho muy bien hoy, que a nosotros toca la definición deste caso; y porque vaya con más fundamento, yo tomaré en secreto los votos destos señores, y de lo que resultare daré entera y clara noticia.
+Para aquellos que la tenían del humor de don Quijote era todo esto materia de grandísima risa; pero para los que le ignoraban les parecía el mayor disparate del mundo, especialmente a los cuatro criados de don Luis, y a don Luis ni más ni menos, y a otros tres pasajeros que acaso habían llegado a la venta, que tenían parecer de ser cuadrilleros, como, en efeto, lo eran. Pero el que más se
+desesperaba era el barbero, cuya bacía allí delante de sus ojos se le había vuelto en yelmo de Mambrino, y cuya albarda pensaba sin duda alguna que se le había de volver en jaez rico de caballo; y los unos y los otros se reían de ver cómo andaba don Fernando tomando los votos de unos en otros, hablándolos al oído para que en secreto declarasen si era albarda o jaez aquella joya sobre quien tanto se había peleado; y después que hubo tomado los votos de aquellos que a don Quijote conocían, dijo en alta voz:
+-El caso es, buen hombre, que ya yo estoy cansado de tomar tantos pareceres, porque veo que a ninguno pregunto lo que deseo saber que no me diga que es disparate el decir que ésta sea albarda de jumento, sino jaez de caballo, y aun de caballo castizo; y así, habréis de tener paciencia, porque, a vuestro pesar y al de vuestro asno, éste es jaez, y no albarda, y vos habéis alegado y probado muy mal de vuestra parte.
+-No la tenga yo en el cielo -dijo el sobrebarbero- si todos vuestras mercedes no se engañan; y que así parezca mi ánima ante Dios como ella me parece a mí albarda, y no jaez; pero allá van leyes..., y no digo más; y en verdad que no estoy borracho; que no me he desayunado, si de pecar no.
+No menos causaban risa las necedades que decía el barbero que los disparates de don Quijote, el cual a esta sazón dijo:
+-Aquí no hay más que hacer sino que cada uno tome lo que es suyo, y a quien Dios se la dio, San Pedro se lo bendiga.
+Uno de los cuatro dijo:
+Si ya no es que esto sea burla pensada, no me puedo persuadir que hombres de tan buen entendimiento como son, o parecen, todos los que aquí están, se atrevan a decir y afirmar que ésta no es bacía, ni aquélla albarda; mas como veo que lo afirman y lo dicen, me doy a entender que no carece de misterio el porfiar una cosa tan contraria de lo que nos muestra la misma verdad y la misma experiencia; porque ¡voto a tal! -y arrojóle redondo- que no me den a mí a entender cuantos hoy viven en el mundo al revés de que ésta no sea bacía de barbero, y ésta albarda de asno.
+-Bien podría ser de borrica -dijo el cura.
+-Tanto monta -dijo el criado-; que el caso no consiste en eso, sino en si es o no es albarda, como vuestras mercedes dicen.
+Oyendo esto uno de los cuadrilleros que habían entrado, que había oído la pendencia y quistión, lleno de cólera y enfado, dijo:
+-Tan albarda es como mi padre; y el que otra cosa ha dicho o dijere debe de estar hecho uva.
+-Mentís como bellaco villano –respondió don Quijote.
+Y alzando el lanzón, que nunca le dejaba de las manos, le iba a descargar tal golpe sobre la cabeza, que, a no desviarse el cuadrillero, se le dejara allí tendido. El lanzón se hizo pedazos en el suelo, y los demás cuadrilleros, que vieron tratar mal a su compañero, alzaron la voz pidiendo favor a la Santa Hermandad.
+El ventero, que era de la cuadrilla, entró al punto por su varilla y por su espada, y se puso al lado de sus compañeros; los criados de don Luis rodearon a don Luis, porque con el alboroto no se les fuese; el barbero, viendo la casa revuelta, tomó a asir de su albarda, y lo mismo hizo Sancho; don Quijote puso mano a su espada y arremetió a los cuadrilleros; don Luis daba voces a sus criados, que le dejasen a él y acorriesen a don Quijote, y a Cardenio y a don Fernando, que todos favorecían a don Quijote; el cura daba voces, la ventera gritaba, su hija se afligía, Maritornes lloraba, Dorotea estaba confusa, Luscinda suspensa y doña Clara desmayada. El barbero aporreaba a Sancho; Sancho molía al barbero; don Luis, a quien un criado suyo se atrevió a asirle del brazo porque no se fuese, le dio una puñada, que le bañó los dientes en sangre; el oidor le defendía; don Fernando tenía debajo de sus pies a un cuadrillero, midiéndole el cuerno con ellos muy a su sabor; el ventero tomó a reforzar la voz, pidiendo favor a la Santa Hermandad; de modo que toda la venta era llantos, voces, gritos, confusiones, temores, sobresaltos, desgracias, cuchilladas, mojicones, palos, coces y efusión de sangre. Y en mitad deste caos, máquina y laberinto de cosas, se le representó en la memoria a don Quijote que se veía metido de hoz y de coz en la discordia del campo de Agramante, y así dijo, con voz que atronaba la venta:
+-Ténganse todos; todos envainen; todos se sosieguen; óiganme todos, si todos quieren quedar con vida.
+A cuya gran voz todos se pararon, y él prosiguió, diciendo:
+-¿No os dije yo, señores, que este castillo era encantado, y que alguna región de demonios debe de habitar en él? En confirmación de lo cual quiero que veáis por vuestros ojos cómo se ha pasado aquí y trasladado entre nosotros la discordia del campo de Agramante. Mirad cómo allí se pelea por la espada, aquí por el caballo, acullá por el águila, acá por el yelmo, y todos peleamos, y todos no nos entendemos. Venga, pues, vuestra merced, señor oidor, y vuestra merced, señor cura, y el uno sirva de rey Agramante, y el otro de rey Sobrino, y póngannos en paz; porque por Dios Todopoderoso que es gran bellaquería que tanta gente principal como aquí estamos se mate por causas tan livianas.
+Los cuadrilleros, que no entendían el frasis de don Quijote, y se veían malparados de don Fernando, Cardenio y sus camaradas, no quedan sosegarse; el barbero sí, porque en la pendencia tenía deshechas las barbas y el albarda; Sancho, a la más mínima voz de su amo, obedeció como buen criado; los cuatro criados de don Luis también estuvieron quedos, viendo cuán poco les iba en no estarlo; sólo el ventero porfiaba que se habían de castigar las insolencias de aquel loco, que a cada paso le alborotaba la venta. Finalmente, el rumor se apaciguó por entonces, la albarda se quedó por jaez hasta el día del Juicio, y la bacía por yelmo y la venta por castillo en la imaginación de don Quijote.
+Puestos, pues, ya en sosiego, y hechos amigos todos a persuasión del oidor y del cura, volvieron los criados de don Luis a porfiarle que al momento se viniese con ellos; y en tanto que él con ellos se avenía, el oidor comunicó con don Fernando, Cardenio y el cura qué debía hacer en aquel caso, contándoseles con las razones que don Luis le había dicho. En fin, fue acordado que don Fernando dijese a los criados de don Luis quién él era y cómo era su gusto que don Luis se fuese con él al Andalucía, donde de su hermano el marqués sería estimado como el valor de don Luis merecía; porque desta manera se sabía de la intención de don Luis que no volvería por aquella vez a los ojos de su padre, si le hiciesen pedazos. Entendida, pues, de los cuatro la calidad de don Fernando y la intención de don Luis, determinaron entre ellos que los tres se volviesen a contar lo que pasaba a su
+padre, y el otro se quedase a servir a don Luis, y a no dejalle hasta que ellos volviesen por él, o viese lo que su padre les ordenaba.
+Desta manera se apaciguó aquella máquina de pendencias, por la autoridad de Agramante y prudencia del rey Sobrino; pero viéndose el enemigo de la concordia y el émulo de la paz menospreciado y burlado, y el poco fruto que había granjeado de haberlos puesto a todos en tan confuso laberinto, acordó de probar otra vez la mano, resucitando nuevas pendencias y desasosiegos. Es, pues, el caso, que los cuadrilleros se sosegaron, por haber entreoído la calidad de los que con ellos se habían combatido, y se retiraron de la pendencia, por parecerles que de cualquier manera que sucediese, habían de llevar lo peor de la batalla; pero a uno dellos, que fue el que fue molido y pateado por don Fernando, le vino a la memoria que entre algunos mandamientos que traía para prender a algunos delincuentes, traía uno contra don Quijote, a quien la Santa Hermandad había mandado prender por la libertad que dio a los galeotes, y como Sancho con mucha razón había temido.
+Imaginando, pues, esto, quiso certificarse si las señas que de don Quijote traía venían bien, y sacando del seno un pergamino, topó con el que buscaba, y poniéndosele a leer de espacio, porque no era buen lector, a cada palabra que leía ponía los ojos en don Quijote, y iba cotejando las señas del mandamiento con el rostro de don Quijote, y halló que sin duda alguna era el que el mandamiento rezaba. Y apenas se hubo certificado, cuando, recogiendo su pergamino, en la izquierda tomó el mandamiento, y con la derecha asió a don Quijote del cuello fuertemente, que no le dejaba alentar, y a grandes voces decía:
+-¡Favor a la Santa Hermandad! ¡Y para que se vea que lo pido de veras, léase este mandamiento, donde se contiene que se prenda a este salteador de caminos!
+Tomó el mandamiento el cura y vio cómo era verdad cuanto el cuadrillero decía, y cómo convenía con las señas con don Quijote; el cual viéndose tratar mal de aquel villano malandrín, puesta la cólera en su punto, y crujiéndole los huesos de su cuerpo, como mejor pudo él, asió al cuadrillero con entrambas manos de la garganta, que a no ser socorrido de sus compañeros, allí dejara la vida antes que don Quijote la presa.
+El ventero, que por fuerza había de favorecer a los de su oficio, acudió luego a dalle favor. La ventera, que vio de nuevo a su marido en pendencias, de nuevo alzó la voz, cuyo tenor le llevaron luego Maritornes y su hija, pidiendo favor al cielo y a los que allí estaban. Sancho dijo, viendo lo que pasaba:
+-¡Vive el Señor, que es verdad cuanto mi amo dice de los encantos deste castillo, pues no es posible vivir una hora con quietud en él!
+Don Fernando despartió al cuadrillero y a don Quijote y, con gusto de entrambos, les desenclavijó las manos, que el uno en el collar del sayo del uno, y el otro en la garganta del otro, bien asidas tenían; pero no por esto cesaban los cuadrilleros de pedir su preso, y que los ayudasen a dárselo atado y entregado a toda su voluntad, porque así convenía al servicio del rey y de la Santa Hermandad, de cuya parte de nuevo les pedían socorro y favor para hacer aquella prisión de aquel robador y salteador de sendas y de carreras. Reíase de oír decir estas razones don Quijote, y con mucho sosiego dijo:
+-Venid acá, gente soez y malnacida: ¿saltear de caminos llamáis al dar libertad a los encadenados, soltar los presos, acorrer a los miserables, alzar los caídos, remediar los menesterosos? ¡Ah, gente infame, digna por vuestro bajo y vil entendimiento que el cielo no os comunique el valor que se encierra en la caballería
+andante, ni os dé a entender el pecado e ignorancia en que estáis en no reverenciar la sombra, cuanto más la asistencia, de cualquier caballero andante! Venid acá, ladrones en cuadrilla, que no cuadrilleros, salteadores de caminos con licencia de la Santa Hermandad; decidme: ¿Quién fue el ignorante que firmó mandamiento de prisión contra un tal caballero como yo soy? ¿Quién el que ignoró que son exentos de todo judicial fuero los caballeros andantes, y que su ley es su espada, sus fueros sus bríos, sus premáticas su voluntad? ¿Quién fue el mentecato, vuelvo a decir, que no sabe que no hay ejecutoria de hidalgo con tantas preeminencias ni exenciones como la que adquiere un caballero andante el día que se arma caballero y se entrega al duro ejercicio de la caballería? ¿Qué caballero andante pagó pecho, alcabala, chapín de la reina, moneda forera, portazgo ni barca? ¿Qué sastre le llevó hechura de vestido que le hiciese? ¿Qué castellano le acogió en su castillo que le hiciese pagar el escote? ¿Qué rey no le asentó a su mesa? ¿Qué doncella no se le aficionó y se le entregó rendida, a todo su talante y voluntad? Y, finalmente, ¿qué caballero andante ha habido, hay ni habrá en el mundo, que no tenga bríos para dar él solo cuatrocientos palos a cuatrocientos cuadrilleros que se le pongan delante?
+Capítulo 46: De la notable aventura de los cuadrilleros, y la gran ferocidad de nuestro buen caballero don Quijote
+En tanto que don Quijote esto decía, estaba persuadiendo el cura a los cuadrilleros cómo don Quijote era falto de juicio, como lo veían por sus obras y por sus palabras, y no tenían para qué llevar aquel negocio adelante, pues aunque le prendiesen y llevasen, luego le habían de dejar por loco; a lo que respondió el del mandamiento que a él no tocaba juzgar de la locura de don Quijote, sino hacer lo que, por su mayor le era mandado; y que una vez preso, siquiera le soltasen trecientas.
+-Con todo eso -dijo el cura-, por esta vez no le habéis de llevar, ni aun él dejará llevarse, a lo que yo entiendo.
+En efeto, tanto les supo el cura decir, y tantas locuras supo don Quijote hacer, que más locos fueran que no él los cuadrilleros si no conocieran la falta de don Quijote; y así, tuvieron por bien de apaciguarse, y aun de ser medianeros de hacer las paces entre el barbero y Sancho Panza, que todavía asistían con gran rancor a su pendencia. Finalmente, ellos, como miembros de justicia, mediaron la causa y fueron árbitros della, de tal modo, que ambas partes quedaron, si no del todo contentas, a lo menos, en algo satisfechas, porque se trocaron las albardas, y no las cinchas y jáquimas; y en lo que tocaba a lo del yelmo de Mambrino, el cura, a socapa y sin que don Quijote lo entendiese, le dio por la bacía ocho reales; y el barbero le hizo una cédula del recibo y de no llamarse a engaño por entonces, ni por siempre jamás, amén.
+Sosegadas, pues, estas dos pendencias, que eran las más principales y de más tomo, restaba que los criados de don Luis se contentasen de volver los tres, y que el uno quedase para acompañarle donde don Fernando le quería llevar; y como ya la buena suerte y mejor fortuna había comenzado a romper lanzas y a facilitar dificultades en favor de los amantes de la venta y de los valientes della, quiso llevarlo al cabo y dar a todo felice suceso, porque los criados se contentaron de cuanto don Luis quería; de que recibió tanto contento doña Clara, que ninguno en aquella sazón la mirara al rostro que no conociera el regocijo de su alma. Zoraida, aunque no entendía bien todos los sucesos que había visto, se entristecía y alegraba a bulto, conforme veía y notaba los semblantes a cada uno, especialmente de su español, en quien tenía siempre puestos los ojos y traía colgada el alma.
+El ventero, a quien no se le pasó por alto la dádiva y recompensa que el cura había hecho al barbero, pidió el escote de don Quijote, con el menoscabo de sus cueros y falta de vino, jurando que no saldría de la venta Rocinante, ni el juramento de Sancho, sin que se le pagase primero hasta el último ardite. Todo lo apaciguó el cura y lo pagó don Fernando, puesto que el oidor, de muy buena voluntad, había también ofrecido la paga; y de tal manera quedaron todos en paz y sosiego, que ya no parecía la venta la discordia del campo de Agramante, como don Quijote había dicho, sino la misma paz y quietud del tiempo de Otaviano; de todo lo cual fue común opinión que se debían dar las gracias a la buena intención y mucha elocuencia del señor cura y a la incomparable liberalidad de don Femando.
+Viéndose, pues, don Quijote libre y desembarazado de tantas pendencias, así de su escudero como suyas, le pareció que sería bien seguir su comenzado viaje y dar fin a aquella grande aventura para que había sido llamado y escogido; y así, con resoluta determinación se fue a poner de hinojos ante Dorotea, la cual no le consintió que hablase palabra hasta que se levantase; y él, por obedecella, se puso en pie, y le dijo:
+-Es común proverbio, fermosa señora, que la diligencia es madre de la buena ventura, y en muchas y graves cosas ha mostrado la experiencia que la solicitud del negociante trae a buen fin el pleito dudoso; pero en ningunas cosas se muestra más esta verdad que en las de la guerra, adonde la celeridad y presteza previene los discursos del enemigo, y alcanza la vitoria antes que el contrario se ponga en defensa. Todo esto digo, alta y preciosa señora, porque me parece que la estada nuestra en este castillo ya es sin provecho, y podría sernos de tanto daño, que lo echásemos de ver algún día; porque ¿quién sabe si por ocultas espías y diligentes habrá sabido ya vuestro enemigo el gigante de que yo voy a destruille, y, dándole lugar el tiempo, se fortificase en algún inexpugnable castillo o fortaleza contra quien valiesen poco mis diligencias y la fuerza de mi incansable brazo? Así que, señora mía, prevengamos, como tengo dicho, con nuestra diligencia sus designios, y partámonos luego a la buena ventura; que no está más de tenerla vuestra grandeza, como desea, de cuanto yo tarde de yerme con vuestro contrario.
+Calló y no dijo más don Quijote, y esperó con mucho sosiego la respuesta de la fermosa infanta; la cual, con ademán señoril y acomodado al estilo de don Quijote, le respondió desta manera:
+-Yo os agradezco, señor caballero, el deseo que mostráis tener de favorecerme en mi gran cuita, bien así como caballero a quien es anejo y concerniente favorecer los huérfanos y menesterosos; y quiera el cielo que el vuestro y mi deseo se cumplan, para que veáis que hay agradecidas mujeres en el mundo. Y en lo de mi partida, sea luego; que yo no tengo más voluntad que la vuestra: disponed vos de mí a toda vuestra guisa y talante; que la que una vez os entregó la defensa de su persona y puso en vuestras manos la restauración de sus señoríos no ha de querer ir contra lo que la vuestra prudencia ordenare.
+-A la mano de Dios -dijo don Quijote-; pues así es que una señora se me humilla, no quiero yo perder la ocasión de levantalla y ponella en su heredado trono. La partida sea luego, porque me va poniendo espuelas al deseo y al camino lo que suele decirse que en la tardanza está el peligro. Y pues no ha criado el cielo, ni visto el infierno, ninguno que me espante ni acobarde, ensilla, Sancho, a Rocinante, y apareja tu jumento y el palafrén de la reina, y despidámonos del castellano y destos señores, y vamos de aquí luego al punto.
+Sancho, que a todo estaba presente, dijo, meneando la cabeza a una parte y a otra:
+-¡Ay, señor, señor, y cómo hay más mal en el aldegüela que se suena, con perdón sea dicho de las tocadas honradas!
+-¿Qué mal puede haber en ninguna aldea, ni en todas las ciudades del mundo, que pueda sonarse en menoscabo mío, villano?
+-Si vuestra merced se enoja –respondió Sancho-, yo callaré, y dejaré de decir lo que soy obligado como buen escudero, y como debe un buen criado decir a su señor.
+-Di lo que quisieres -replicó don Quijote-, como tus palabras no se encaminen a ponerme miedo; que si tú le tienes, haces como quien eres; y si yo no le tengo, hago como quien soy.
+-No es eso, ¡pecador fui yo a Dios! -respondió Sancho-; sino que yo tengo por cierto y por averiguado que esta señora que se dice ser reina del gran reino Micomicón no lo es más que mi madre; porque a ser lo que ella dice, no se anduviera hocicando con alguno de los que están en la rueda, a vuelta de cabeza y a cada traspuesta.
+Paróse colorada con las razones de Sancho Dorotea, porque era verdad que su esposo don Fernando, alguna vez, a hurto de otros ojos, había cogido con los labios parte del premio que merecían sus deseos (lo cual había visto Sancho, pareciéndole que aquella desenvoltura más era de dama cortesana que de reina de tan gran reino), y no pudo ni quiso responder palabra a Sancho, sino dejóle proseguir en su plática, y él fue diciendo:
+-Esto digo, señor, porque si al cabo de haber andado caminos y carreras, y pasado malas noches y peores días, ha de venir a coger el fruto de nuestros trabajos el que se está holgando en esta venta, no hay para qué darme priesa a que ensille a Rocinante, albarde el jumento y aderece el palafrén, pues será mejor que nos estemos quedos, y cada puta hile, y comamos.
+¡Oh, válame Dios, y cuán grande que fue el enojo que recibió don Quijote oyendo las descompuestas palabras de su escudero! Digo que fue tanto, que, con voz atropellada y tartamuda lengua, lanzando vivo fuego por los ojos, dijo:
+-¡Oh bellaco villano, mal mirado, descompuesto, ignorante, infacundo, deslenguado, atrevido, murmurador y maldiciente! ¿Tales palabras has osado decir en mi presencia y en la destas ínclitas señoras, y tales deshonestidades y atrevimientos osaste poner en tu confusa imaginación? ¡Vete de mi presencia, monstruo de naturaleza, depositario de mentiras, almario de embustes, silo de bellaquerías, inventor de maldades, publicador de sandeces, enemigo del decoro que se debe a las reales personas! ¡Vete, no parezcas delante de mi, so pena de mi ira!
+Y diciendo esto, enarcó las cejas, hinchó los carrillos, miró a todas partes, y dio con el pie derecho una gran patada en el suelo, señales todas de la ira que encerraba en sus entrañas. A cuyas palabras y furibundos ademanes quedó Sancho tan encogido y medroso, que se holgará que en aquel instante se abriera debajo de sus pies la tierra y le tragara, y no supo qué hacerse, sino volver las espaldas y quitarse de la enojada presencia de su señor. Pero la discreta Dorotea, que tan entendido tenía ya el humor de don Quijote, dijo, para templarle la ira:
+-No os despechéis, señor Caballero de la Triste Figura, de las sandeces que vuestro buen escudero ha dicho, porque quizá no las debe de decir sin ocasión, ni de su buen entendimiento y cristiana conciencia se puede sospechar que levante testimonio a nadie; y así, se ha de creer, sin poner duda en ello, que, como en este castillo, según vos, señor caballero, decís, todas las cosas van y suceden por modo de encantamento, podría ser, digo, que Sancho hubiese visto por esta diabólica vía lo que él dice que vio, tan en ofensa de mi honestidad.
+-Por el omnipotente Dios juro -dijo a esta sazón don Quijote- que la vuestra grandeza ha dado en el punto, y que alguna mala visión se le puso delante a este pecador de Sancho, que le hizo ver lo que fuera imposible verse de otro modo que por el de encantos no fuera; que se yo bien de la bondad e inocencia deste desdichado, que no sabe levantar testimonios a nadie.
+-Ansí es y ansí será -dijo don Fernando-; por lo cual debe vuestra merced, señor don Quijote, perdonalle y reducille al gremio de su gracia, sicut erat in principio, antes que las tales visiones le sacasen de juicio.
+Don Quijote respondió que él le perdonaba, y el cura fue por Sancho, el cual vino muy humilde, y, hincándose de rodillas, pidió la mano a su amo, y él se la dio, y después de habérsela dejado besar, le echó la bendición, diciendo:
+-Agora acabarás de conocer, Sancho hijo, ser verdad lo que yo otras muchas veces te he dicho de que todas las cosas deste castillo son hechas por vía de encantamento.
+-Así lo creo yo -dijo Sancho-, excepto aquello de la manta, que realmente sucedió por vía ordinaria.
+-No lo creas -respondió don Quijote-; que si así fuera, yo te vengara entonces, y aun agora; pero ni entonces ni agora pude, ni vi en quién tomar venganza de tu agravio.
+Desearon saber todos qué era aquello de la manta, y el ventero les contó punto por punto la volatería de Sancho Panza, de que no poco se rieron todos, y de que no
+menos se corriera Sancho, si de nuevo no le asegurara su amo que era encantamento; puesto que jamás llegó la sandez de Sancho a tanto, que creyese no ser verdad pura y averiguada, sin mezcla de engaño alguno, lo de haber sido manteado por personas de carne y hueso, y no por fantasmas soñadas ni imaginadas, como su señor lo creía y lo afirmaba.
+Dos días eran ya pasados los que había que toda aquella ilustre compañía estaba en la venta; y pareciéndoles que ya era tiempo de partirse, dieron orden para que, sin ponerse al trabajo de volver Dorotea y don Fernando con don Quijote a su aldea, con la invención de la libertad de la reina Micomicona, pudiesen el cura y el barbero llevársele, como deseaban, y procurar la cura de su locura en su tierra. Y lo que ordenaron fue que se concertaron con un carretero de bueyes que acaso acertó a pasar por allí, para que lo llevase, en esta forma: hicieron una como jaula, de palos enrejados, capaz que pudiese en ella caber holgadamente don Quijote, y luego don Fernando y sus camaradas, con los criados de don Luis y los cuadrilleros, juntamente con el ventero, todos, por orden y parecer del cura, se cubrieron los rostros y se disfrazaron, quién de una manera y quién de otra, de modo que a don Quijote le pareciese ser otra gente de la que en aquel castillo había visto.
+Hecho esto, con grandísimo silencio se entraron adonde él estaba durmiendo y descansando de las pasadas refriegas. Llegáronse a él, que libre y seguro de tal acontecimiento dormía, y asiéndole fuertemente, le ataron muy bien las manos y los pies, de modo que cuando él despertó con sobresalto, no pudo menearse, ni hacer otra cosa más que admirarse y suspenderse de ver delante de sí tan extraños visajes; y luego dio en la cuenta de lo que su continua y desvariada imaginación le representaba, y se creyó que todas aquellas figuras eran fantasmas de aquel encantado castillo, y que, sin duda alguna, ya estaba encantado, pues no se podía menear ni defender, todo a punto como había pensado que sucedería el cura, trazador desta máquina. Sólo Sancho, de todos los presentes, estaba en su mesmo juicio y en su mesma figura; el cual aunque le faltaba bien poco para tener la mesma enfermedad de su amo, no dejó de conocer quién eran todas aquellas contrahechas figuras; mas no osó descoser su boca, hasta ver en qué paraba aquel asalto y prisión de su amo, el cual tampoco hablaba palabra, atendiendo a ver el paradero de su desgracia; que fue que, trayendo allí la jaula, lo encerraron dentro, y le clavaron los maderos tan fuertemente, que no se pudieran romper a dos tirones.
+Tomáronle luego en hombros, y al salir del aposento, se oyó una voz temerosa, todo cuanto la supo formar el barbero, no el del albarda, sino el otro, que decía:
+-¡Oh Caballero de la Triste Figura! No te dé afincamiento la prisión en que vas, porque así conviene para acabar más presto la aventura en que tu gran esfuerzo te puso. La cual se acabará cuando el furibundo león manchado con la blanca paloma tobosina yoguieren en uno, ya después de humilladas las altas cervices al blando yugo matrimoñesco; de cuyo inaudito consorcio saldrán a la luz del orbe los bravos cachorros, que imitarán las rumpantes garras del valeroso padre. Y esto será antes que el seguidor de la fugitiva Ninfa faga dos vegadas la visita de las lucientes imágenes con su rápido y natural curso. Y tú, ¡oh el más noble y obediente escudero que tuvo espada en cinta, barbas en rostro y olfato en las narices!, no te desmaye ni descontente ver llevar ansí delante de tus ojos mesmos a la flor de la caballería andante; que presto, si al plasmador del mundo le place, te verás tan alto y tan sublimado, que no te conozcas, y no saldrán defraudadas las promesas que te ha fecho tu buen señor. Y asegúrote, de parte de la sabia Mentironiana, que tu salario te sea pagado, como lo verás por la obra; y sigue las pisadas del valeroso y encantado caballero; que conviene que vayas donde paréis entrambos. Y porque no me es lícito decir otra cosa, a Dios quedad; que yo me vuelvo adonde yo me sé.
+Y al acabar de la profecía, alzó la voz de punto, y disminuyóla después, con tan tierno acento, que aun los sabidores de la burla estuvieron por creer que era verdad lo que oían.
+Quedó don Quijote consolado con la escuchada profecía, porque luego coligió de todo en todo la significación de ella, y vio que le prometían el verse ayuntado en santo y debido matrimonio con su querida Dulcinea del Toboso, de cuyo felice vientre saldrían los cachorros, que eran sus hijos, para gloria perpetua de la Mancha; y creyendo esto bien y firmemente, alzó la voz, y dando un gran suspiro, dijo:
+-¡Oh tú, quienquiera que seas, que tanto bien me has pronosticado! Ruégote que pidas de mi parte al sabio encantador que mis cosas tiene a cargo, que no me deje perecer en esta prisión donde agora me llevan, hasta ver cumplidas tan alegres e incomparables promesas como son las que aquí se me han hecho; que como esto sea, tendré por gloria las penas de mi cárcel, y por alivio estas cadenas que me ciñen, y no por duro campo de batalla este lecho en que me acuestan, sino por cama blanda y tálamo dichoso. Y en lo que toca a la consolación de Sancho Panza mi escudero, yo confío de su bondad y buen proceder que no me dejará, en buena ni en mala suerte; porque cuando no suceda, por la suya o por mi corta ventura, el poderle yo dar la ínsula, o otra cosa equivalente, que le tengo prometida, por lo menos su salario no podrá perderse, que en mi testamento, que ya está hecho, dejo declarado lo que se le ha de dar, no conforme a sus muchos y buenos servicios, sino a la posibilidad mía.
+Sancho Panza se le inclinó con mucho comedimiento, y le besó entrambas las manos, porque la una no pudiera, por estar atadas entrambas.
+Luego tomaron la jaula en hombros aquellas visiones, y la acomodaron en el carro de los bueyes.
+Capítulo 47: Del extraño modo con que fue encantado don Quijote de la Mancha, con otros famosos sucesos
+Cuando don Quijote se vio de aquella manera enjaulado y encima del carro, dijo:
+-Muchas y muy graves historias he yo leído de caballeros andantes; pero jamás he leído, ni visto, ni oído, que a los caballeros encantados los lleven desta manera, y con el espacio que prometen estos perezosos y tardíos animales; porque siempre los suelen llevar por los aires, con extraña ligereza, encerrados en alguna parda y escura nube, o en algún carro de fuego, o ya sobre algún hipogrifo o otra bestia semejante; pero que me lleven a mi agora sobre un carro de bueyes, ¡vive Dios que me pone en confusión! Pero quizá la caballería y los encantos destos nuestros tiempos deben de seguir otro camino que siguieron los antiguos. Y también podría ser que, como yo soy nuevo caballero en el mundo, y el primero que ha resucitado el ya olvidado ejercicio de la caballería aventurera, también nuevamente se hayan
+inventado otros géneros de encantamentos, y otros modos de llevar a los encantados. ¿Qué te parece desto, Sancho hijo?
+-No sé yo lo que me parece –respondió Sancho-, por no ser tan leído como vuestra merced en las escrituras andantes; pero, con todo eso, osaría afirmar y jurar que estas visiones que por aquí andan, que no son del todo católicas.
+-¿Católicas? ¡Mi padre! -respondió don Quijote-. ¿Cómo han de ser católicas, si son todos demonios, que han tomado cuerpos fantásticos para venir a hacer esto y a ponerme en este estado? Y si quieres ver esta verdad, tócalos y pálpalos, y verás como no tienen cuerpo sino de aire, y cómo no consiste más de en la apariencia.
+-Par Dios, señor -replicó Sancho-, ya yo los he tocado; y este diablo que aquí anda tan solícito es rollizo de carnes, y tiene otra propiedad muy diferente de la que yo he oído decir que tienen los demonios; porque, según se dice, todos huelen a piedra azufre y a otros malos olores; pero éste huele a ámbar de media legua.
+Decía esto Sancho por don Fernando, que, como tan señor, debía de oler a lo que Sancho decía.
+-No te maravilles deso, Sancho amigo -respondió don Quijote-; porque te hago saber que los diablos saben mucho, y puesto que traigan olores consigo, ellos no huelen nada, porque son espíritus, y si huelen, no pueden oler cosas buenas, sino malas y hediondas. Y la razón es que como ellos, dondequiera que están, traen el infierno consigo, y no pueden recebir género de alivio alguno en sus tormentos, y el buen olor sea cosa que deleita y contenta, no es posible que ellos huelan cosa buena; y si a ti te parece que ese demonio que dices huele a ámbar, o tú te engañas, o él quiere engañarte con hacer que no le tengas por demonio.
+Todos estos coloquios pasaron entre amo y criado; y temiendo don Fernando y Cardenio que Sancho no viniese a caer del todo en la cuenta de su invención, a quien andaba ya muy en los alcances, determinaron de abreviar con la partida; y llamando aparte al ventero, le ordenaron que ensillase a Rocinante y enalbardase el jumenta de Sancho; el cual lo hizo con mucha presteza.
+Ya, en esto, el cura se había concertado con los cuadrilleros que le acompañasen hasta su lugar, dándoles un tanto cada día. Colgó Cardenio del arzón de la silla de Rocinante, del un cabo la adarga y del otro la bacía, y por señas mandó a Sancho que subiese en su asno y tomase de las riendas a Rocinante, y puso a los dos lados del carro a los dos cuadrilleros con sus escopetas. Pero antes que se moviese el carro, salió la ventera, su hija y Maritornes a despedirse de don Quijote, fingiendo que lloraban de dolor de su desgracia; a quien don Quijote dijo:
+-No lloréis, mis buenas señoras; que todas estas desdichas son anexas a los que profesan lo que yo profeso; y si estas calamidades no me acontecieran, no me tuviera yo por famoso caballero andante; porque a los caballeros de poco nombre y fama nunca les suceden semejantes casos, porque no hay en el mundo quien se acuerde dellos. A los valerosos si; que tienen envidiosos de su virtud y valentía a muchos príncipes y a muchos otros caballeros, que procuran por malas vías destruir a los buenos. Pero, con todo eso, la virtud es tan poderosa, que por si sola, a pesar de toda la nigromancia que supo su primer inventor Zoroastes, saldrá vencedora de todo trance, y dará de sí luz en el mundo como la da el sol en el cielo. Perdonadme, fermosas damas, si algún desaguisado, por descuido mío, os he fecho, que de voluntad y a sabiendas jamás le di a nadie, y rogad a Dios me saque destas prisiones, donde algún mal intencionado encantador me ha puesto; que si de ellas
+me veo libre, no se me caerán de la memoria las mercedes que en este castillo me habedes fecho, para gratificallas, servillas y recompensallas como ellas merecen.
+En tanto que las damas del castillo esto pasaban con don Quijote, el cura y el barbero se despidieron de don Femando y sus camaradas, y del capitán y de su hermano y todas aquellas contentas señoras, especialmente de Dorotea y Luscinda. Todos se abrazaron, y quedaron de darse noticias de sus sucesos, diciendo don Fernando al cura dónde había de escribirle para avisarle en lo que paraba don Quijote, asegurándole que no habría cosa que más gusto le diese que saberlo; y que él, asimesmo le avisaría de todo aquello que él viese que podría darle gusto, así de su casamiento como del bautismo de Zoraida, y suceso de don Luis, y vuelta de Luscinda a su casa. El cura ofreció de hacer cuanto se le mandaba, con toda puntualidad. Tornaron a abrazarse otra vez, y otra vez tornaron a nuevos ofrecimientos.
+El ventero se llegó al cura y le dio unos papeles, diciéndole que los había hallado en un aforro de la maleta donde se halló la Novela del Curioso impertinente, y que pues su dueño no había vuelto más por allí, que se los llevase todos; que, pues él no sabia leer, no los quería. El cura se lo agradeció, y abriéndolos luego, vio que al principio del escrito decía: Novela de Rinconete y Cortadillo, por donde entendió ser alguna novela, y coligió, que, pues la del Curioso impertinente había sido buena, que también lo sería aquélla, pues podría ser fuesen todas de un mesmo antor; y así, la guardó, con prosupuesto de leerla cuando tuviese comodidad.
+Subió a caballo, y también su amigo el barbero, con sus antifaces, porque no fuesen luego conocidos de don Quijote, y pusiéronse a caminar tras el carro. Y la orden que llevaban era ésta: iba primero el carro, guiándole su dueño; a los dos lados iban los cuadrilleros, como se ha dicho, con sus escopetas; seguía luego Sancho Panza sobre su asno, llevando de rienda a Rocinante; detrás de todo esto iban el cura y el barbero sobre sus poderosas mulas, cubiertos los rostros, como se ha dicho, con grave y reposado continente, no caminando más de lo que permitía el paso tardo de los bueyes. Don Quijote iba sentado en la jaula, las manos atadas, tendidos los pies, y arrimado a las verjas, con tanto silencio y tanta paciencia como si no fuera hombre de carne, sino estatua de piedra.
+Y así, con aquel espacio y silencio caminaron hasta dos leguas, que llegaron a un valle, donde le pareció al boyero ser lugar acomodado para reposar y dar pasto a los bueyes, y comunicándolo con el cura, fue de parecer el barbero que caminasen un poco más, porque él sabia que detrás de un recuesto que cerca de allí se mostraba había un valle de más yerba y mucho mejor que aquel donde parar querían. Tomóse el parecer del barbero, y así, tornaron a proseguir su camino.
+En esto, volvió el cura el rostro, y vio que a sus espaldas venían hasta seis o siete hombres de a caballo, bien puestos y aderezados, de los cuales fueron presto alcanzados, porque caminaban no con la flema y reposo de los bueyes, sino como quien iba sobre mulas de canónigos y con deseo de llegar presto a sestear a la venta, que menos de una legua de allí se parecía. Llegaron los diligentes a los perezosos y saludáronse cortésmente; y uno de los que venían, que, en resolución, era canónigo de Toledo y señor de los demás que le acompañaban, viendo la concertada procesión del carro, cuadrilleros, Sancho, Rocinante, cura y barbero, y más a don Quijote enjaulado y aprisionado, no pudo dejar de preguntar qué significaba llevar aquel hombre de aquella manera; aunque ya se había dado a entender, viendo las insignias de los cuadrilleros, que debía de ser algún facineroso salteador, o otro delincuente cuyo castigo tocase a la Santa Hermandad.
+Uno de los cuadrilleros, a quien fue hecha la pregunta, respondió ansí:
+-Señor, lo que significa ir este caballero desta manera dígalo él, porque nosotros no lo sabemos.
+Oyó don Quijote la plática, y dijo:
+-¿Por dicha vuestras mercedes, señores caballeros, son versados y peritos en esto de la caballería andante? Porque si lo son, comunicaré con ellos mis desgracias; y si no, no hay para qué me canse en decillas.
+Y a este tiempo habían ya llegado el cura y el barbero, viendo que los caminantes estaban en pláticas con don Quijote de la Mancha, para responder de modo que no fuese descubierto su artificio.
+El canónigo, a lo que don Quijote dijo, respondió:
+-En verdad, hermano, que sé más de libros de caballerías que de las Súmulas de Villalpando. Ansí que, si no está más que en esto, seguramente podéis comunicar conmigo lo que quisiéredes.
+-A la mano de Dios -replicó don Quijote-. Pues así es, quiero, señor caballero, que sepades que yo voy encantado en esta jaula, por envidia y fraude de malos encantadores; que la virtud más es perseguida de los malos que amada de los buenos. Caballero andante soy, y no de aquellos de cuyos nombres jamás la fama se acordó para eternizarlos en su memoria, sino de aquellos que, a despecho y pesar de la mesma envidia, y de cuantos magos crió Persia, bracmanes la India, ginosofistas la Etiopía, han de poner su nombre en el templo de la inmortalidad, para que sirva de ejemplo y dechado en los venideros siglos, donde los caballeros andantes vean los pasos que han de seguir si quisieren llegar a la cumbre y alteza honrosa de las armas.
+-Dice verdad el señor don Quijote de la Mancha -dijo a esta sazón el cura- que él va encantado en esta carreta, no por sus culpas y pecados, sino por la mala intención de aquellos a quien la virtud enfada y la valentía enoja. Este es, señor, el Caballero de la Triste Figura, si ya le oístes nombrar en algún tiempo; cuyas valerosas hazañas y grandes hechos serán escritos en bronces duros y en eternos mármoles, por más que se canse la envidia en escurecerlos y la malicia en ocultarlos.
+Cuando el canónigo oyó hablar al preso y al libre en semejante estilo, estuvo por hacerse la cruz de admirado, y no podía saber lo que le había acontecido; y en la mesma admiración cayeron todos los que con él venían. En esto, Sancho Panza, que se había acercado a oír la plática, para adobarlo todo, dijo:
+-Ahora señores, quiéranme bien o quiéranme mal por lo que dijere, el caso de ello es que así va encantado mi señor don Quijote como mi madre; él tiene su entero juicio, él come y bebe y hace sus necesidades como los demás hombres, y como las hacía ayer, antes que le enjaulasen. Siendo esto ansí, ¿cómo quieren hacerme a mí entender que va encantado? Pues yo he oído decir a muchas personas que los encantados ni comen, ni duermen, ni hablan, y mi amo, si no le van a la mano, hablará más que treinta procuradores.
+Y volviéndose a mirar al cura, prosiguió diciendo:
+-¡Ah señor cura, señor cura! ¿Pensaba vuestra merced que no le conozco, y pensara que yo no calo y adivino adónde se encaminan estos nuevos encantamentos? Pues sepa que le conozco, por más que se encubra el rostro, y
+sepa que le entiendo, por más que disimule sus embustes. En fin, donde reina la envidia no puede vivir la virtud, ni adonde hay escaseza la liberalidad. ¡Mal haya el diablo; que si por su reverencia no fuera, ésta fuera ya la hora que mi señor estuviera casado con la infanta Micomicona, y yo fuera conde, por lo menos, pues no se podía esperar otra cosa, así de la bondad de mi señor el de la Triste Figura como de la grandeza de mis servicios! Pero ya veo que es verdad lo que se dice por ahí, que la rueda de la Fortuna anda más lista que una rueda de molino, y que los que ayer estaban en pinganitos, hoy están por el suelo. De mis hijos y de mi mujer me pesa; pues cuando podían y debían esperar ver entrar a su padre por sus puertas hecho gobernador o visorrey de alguna ínsula o reino, le verán entrar hecho mozo de caballos. Todo esto que he dicho, señor cura, no es más de por encarecer a su paternidad haga conciencia del mal tratamiento que a mi señor se le hace, y mire bien no le pida Dios en la otra vida esta prisión de mi amo, y se le haga cargo de todos aquellos socorros y bienes que mi señor don Quijote deja de hacer en este tiempo que está preso.
+-¡Adóbame esos candiles! -dijo a este punto el barbero-. ¿También vos, Sancho, sois de la cofradía de vuestro amo? ¡Vive el Señor, que voy viendo que le habéis de tener compañía en la jaula, y que habéis de quedar tan encantado como él, por lo que os toca de su humor y de su caballería! En mal punto os empreñastes de sus promesas, y en mal hora se os entró en los cascos la ínsula que tanto deseáis.
+-Yo no estoy preñado de nadie –respondió Sancho-, ni soy hombre que me dejaría empreñar, del rey que fuese, y aunque pobre, soy cristiano viejo, y no debo nada a nadie; y si ínsulas deseo, otros desean otras cosas peores; y cada uno es hijo de sus obras; y debajo de ser hombre puedo venir a ser papa, cuanto más gobernador de una ínsula, y más pudiendo ganar tantas mi señor, que le falte a quien dallas. Vuestra merced mire cómo habla, señor barbero; que no es todo hacer barbas, y algo va de Pedro a Pedro. Dígolo porque todos nos conocemos, y a mi no se me ha de echar dado falso. Y en esto del encanto de mi amo Dios sabe la verdad; y quédese aquí, porque es peor meneallo.
+No quiso responder el barbero a Sancho, porque no descubriese con sus simplicidades lo que él y el cura tanto procuraban encubrir; y por este mesmo temor había el cura dicho al canónigo que caminasen un poco delante; que él le diría el misterio del enjaulado, con otras cosas que le diesen gusto. Hízolo así el canónigo, y adelantándose con sus criados y con él, estuvo atento a todo aquello que decirle quiso de la condición, vida, locura y costumbres de don Quijote, contándole brevemente el principio y causa de su desvarío, y todo el progreso de sus sucesos, hasta haberlo puesto en aquella jaula, y el designio que llevaban de llevarle a su tierra, para ver si por algún medio hallaban remedio a su locura.
+Admiráronse de nuevo los criados y el canónigo de oír la peregrina historia de don Quijote, y en acabándola de oír, dijo:
+-Verdaderamente, señor cura, yo hallo por mi cuenta que son perjudiciales en la república estos que llaman libros de caballerías; y aunque he leído, llevado de un ocioso y falso gusto, casi el principio de todos los más que hay impresos, jamás me he podido acomodar a leer ninguno del principio al cabo, porque me parece que, cuál más, cuál menos, todos ellos son una mesma cosa, y no tiene más éste que aquél, ni estotro que el otro. Y según a mi me parece, este género de escritura y composición cae debajo de aquel de las fábulas que llaman milesias, que son cuentos disparatados, que atienden solamente a deleitar, y no a enseñar; al contrario de lo que hacen las fábulas apólogas, que deleitan y enseñan juntamente. Y puesto que el principal intento de semejantes libros sea el deleitar, no sé yo cómo puedan conseguirle, yendo llenos de tantos y tan desaforados disparates; que el
+deleite que en el alma se concibe ha de ser de la hermosura y concordancia que vee o contempla en las cosas que la vista o la imaginación le ponen delante; y toda cosa que tiene en si fealdad y descompostura no nos puede causar contento alguno. Pues ¿qué hermosura puede haber, o qué proporción de partes con el todo, y del todo con las partes, en un libro o fábula donde un mozo de diez y seis años da una cuchillada a un gigante como una torre, y le divide en dos mitades como si fuera de alfeñique, y que cuando nos quieren pintar una batalla, después de haber dicho que hay de la parte de los enemigos un millón de competientes, como sea contra ellos el señor del libro, forzosamente, mal que nos pese, habemos de entender que el tal caballero alcanzó la vitoria por sólo el valor de su fuerte brazo? Pues ¿qué diremos de la facilidad con que una reina o emperatriz heredera se conduce en los brazos de un andante y no conocido caballero? ¿Qué ingenio, si no es del todo bárbaro e inculto, podrá contentarse leyendo que una gran torre llena de caballeros va por la mar adelante, como nave con próspero viento, y hoy anochece en Lombardia, y mañana amanezca en tierras del Preste Juan de las Indias, o en otras que ni las describió Tolomeo, ni las vio Marco Polo? Y si a esto se me respondiese que los que tales libros componen los escriben como cosas de mentira, y que así, no están obligados a mirar en delicadezas ni verdades, responderles hia yo que tanto la mentira es mejor cuanto más parece verdadera, y tanto más agrada cuanto tiene más de lo dudoso y posible. Hanse de casar las fábulas mentirosas con el entendimiento de los que las leyeren, escribiéndose de suerte que, facilitando los imposibles, allanando las grandezas, suspendiendo los ánimos, admiren, suspendan, alborocen y entretengan, de modo que anden a un mismo paso la admiración y la alegría juntas; y todas estas cosas no podrá hacer el que huyere de la verisimilitud y de la imitación, en quién consiste la perfección de lo que se escribe. No he visto ningún libro de caballerías que haga un cuerpo de fábula entero con todos sus miembros, de manera que el medio corresponda al principio, y el fin al principio y al medio; sino que los componen con tantos miembros, que más parece que llevan intención a formar una quimera o un monstruo que a hacer una figura proporcionada. Fuera desto, son en el estilo duros; en las hazañas, increíbles; en los amores, lascivos; en las cortesías, mal mirados; largos en las batallas, necios en las razones, disparatados en los viajes, y, finalmente, ajenos de todo discreto artificio, y por esto dignos de ser desterrados de la república cristiana, como a gente inútil, El cura le estuvo escuchando con grande atención, y parecióle hombre de buen entendimiento, y que tenía razón en cuanto decía; y así, le dijo que por ser él de su mesma opinión, y tener ojeriza a los libros de caballerías, había quemado todos los de don Quijote, que eran muchos. Y contóle el escrutinio que dellos había hecho, y los que había condenado al fuego y dejado con vida, de que no poco se rió el canónigo, y dijo que con todo cuanto mal había dicho de tales libros, hallaba en ellos una cosa buena, que era el sujeto que ofrecían para que un buen entendimiento pudiese mostrarse en ellos, porque daban largo y espacioso campo por donde sin empacho alguno pudiese correr la pluma, describiendo naufragios, tormentas, rencuentros y batallas, pintando un capitán valeroso con todas las partes que para ser tal se requieren, mostrándose prudente preveniendo las astucias de sus enemigos, y elocuente orador persuadiendo o disuadiendo a sus soldados, maduro en el consejo, presto en lo determinado, tan valiente en el esperar como en el acometer; pintando ora un lamentable y trágico suceso, ahora un alegre y no pensado acontecimiento; allí una hermosísima dama, honesta, discreta y recatada; aquí un caballero cristiano, valiente y comedido; acullá un desaforado bárbaro fanfarrón; acá un príncipe cortés, valeroso y bien mirado; representando bondad y lealtad de vasallos, grandezas y mercedes de señores.
+-Ya puede mostrarse astrólogo, ya cosmógrafo excelente, ya músico, ya inteligente en las materias del estado, y tal vez le vendrá ocasión de mostrarse nigromante, si quisiere. Puede mostrar las astucias de Ulises, la piedad de Eneas, la valentía de Aquiles, las desgracias de Héctor, las traiciones de Sinón, la amistad de Eurialo, la
+liberalidad de Alejandro, el valor de César, la clemencia y verdad de Trajano, la fidelidad de Zopiro, la prudencia de Catón, y, finalmente, todas aquellas acciones que pueden hacer perfecto a un varón ilustre, ahora poniéndolas en uno solo, ahora dividiéndolas en muchos. Y siendo esto hecho con apacibilidad de estilo y con ingeniosa invención, que tire lo más que fuera posible a la verdad, sin duda compondrá una tela de varios y hermosos lizos tejida, que después de acabada, tal perfección y hermosura muestre, que consiga el fin que se pretende en los escritos, que es enseñar y deleitar juntamente, como ya tengo dicho. Porque la escritura desatada destos libros da lugar a que el autor pueda mostrarse épico, lírico, trágico, cómico, con todas aquellas partes que encierran en si las dulcísimas y agradables ciencias de la poesía y de la oratoria; que la épica también puede escrebirse en prosa como en verso.
+Capítulo 48: Donde prosigue el canónigo la materia de los libros de caballerías con otras cosas dignas de su ingenio
+-Así es como vuestra merced dice, señor canónigo -dijo el cura-, y por esta causa son más dignos de reprehensión los que hasta aquí han compuesto semejantes libros, sin tener advertencia a ningún buen discurso, ni al arte y reglas por donde pudieran guiarse y hacerse famosos en prosa, como lo son en verso los dos príncipes de la poesía griega y latina.
+-Yo, a lo menos -replicó el canónigo-, he tenido cierta tentación de hacer un libro de caballerías, guardando en él todos los puntos que he significado; y si he de confesar la verdad, tengo escritas más de cien hojas. Y para hacer la experiencia de si correspondían a mi estimación, las he comunicado con hombres apasionados desta leyenda, dotos y discretos, y con otros ignorantes, que sólo atienden al gusto
+de oír disparates, y de todos he hallado una agradable aprobación; pero, con todo esto, no he proseguido adelante, así por parecerme que hago cosa ajena de mi profesión como por ver que es más el número de los simples que de los prudentes, y que, puesto que es mejor ser loado de los pocos sabios que burlado de los muchos necios, no quiero sujetarme al confuso juicio del desvanecido vulgo, a quien por la mayor parte toca leer semejantes libros.
+Pero lo que más me le quitó de las manos, y aun del pensamiento de acabarle, fue un argumento que hice conmigo mesmo, sacado de las comedias que ahora se representan, diciendo: «Si estas que ahora se usan, así las imaginadas como las de historia, todas o las más son conocidos disparates y cosas que no llevan pies ni cabeza, y, con todo eso, el vulgo las oye con gusto, y las tiene y las aprueba por buenas, estando tan lejos de serlo, y los autores que las componen, y los actores que las representan dicen que así han de ser, porque así las quiere el vulgo, y no de otra manera, y que las que llevan traza y siguen la fábula como el arte pide no sirven sino para cuatro discretos que las entienden, y todos los demás se quedan ayunos de entender su artificio, y que a ellos les está mejor ganar de comer con los muchos, que no opinión con los pocos, deste modo vendrá a ser mi libro, al cabo de haberme quemado las cejas por guardar los preceptos referidos, y vendré a ser el sastre del cantillo.» Y aunque algunas veces he procurado persuadir a los actores que se engañan en tener la opinión que tienen, y que mas gente atraerán y más fama cobrarán representando comedias que sigan el arte que no con las disparatadas, ya están tan asidos y encorporados en su parecer, que no hay razón ni evidencia que dél los saque.
+Acuérdome que un día dije a uno destos pertinaces:
+-«Decidme, ¿no os acordáis que ha pocos anos que se representaron en España tres tragedias que compuso un famoso poeta destos reinos, las cuales fueron tales, que admiraron, alegraron y suspendieron a todos cuantos las oyeron, así simples como prudentes, así del vulgo como de los escogidos, y dieron más dineros a los representantes ellas tres solas que treinta de las mejores que después acá se han hecho?»
+-«Sin duda -respondió el autor que digo- que debe de decir vuestra merced por La Isabela, La Filis y La Alejandra.»
+-«Por ésas digo -le repliqué yo-; y mirad si guardaban bien los preceptos del arte, y si por guardarlos dejaron de parecer lo que eran y de agradar a todo el mundo. Así que no está la falta en el vulgo, que pide disparates, sino en aquellos que no saben representar otra cosa. Sí, que no fue disparate La Ingratitud vengada, ni le tuvo La Numancia, ni se le halló en la de El Mercader amante, ni menos en La Enemiga favorable, ni en otras algunas que de algunos entendidos poetas han sido compuestas, para fama y renombre suyo, y para ganancia de los que las han representado.» Y otras cosas añadí a éstas, con que, a mi parecer, le dejé algo confuso; pero no satisfecho ni convencido, para sacarle de su errado pensamiento.
+-En materia ha tocado vuestra merced, señor canónigo -dijo a esta sazón el cura-, que ha despertado en mí un antiguo rancor que tengo con las comedias que agora se usan, tal, que iguala al que tengo con los libros de caballerías; porque habiendo de ser la comedia, según le parece a Tulio, espejo de la vida humana, ejemplo de las costumbres y imagen de la verdad, las que ahora se representan son espejos de disparates, ejemplos de necedades e imágenes de lascivia. Porque ¿qué mayor disparate puede ser en el sujeto que tratamos que salir un niño en mantillas en la primera escena del primer acto, y en la segunda salir ya hecho hombre barbado? Y ¿qué mayor que pintarnos un viejo valiente y un mozo cobarde, un lacayo retórico,
+un paje consejero, un rey ganapán y una princesa fregona? ¿Qué diré, pues, de la observancia que guardan en los tiempos en que pueden o podían suceder las acciones que representan, sino que he visto comedia que la primera jornada comenzó en Europa, la segunda en Asia, la tercera se acabó en África, y aun, si fuera de cuatro jornadas, la cuarta acababa en América, y así, se hubiera hecho en todas las cuatro partes del mundo? Y si es que la imitación es lo principal que ha de tener la comedia, ¿cómo es posible que satisfaga a ningún mediano entendimiento que, fingiendo una acción que pasa en el tiempo del rey Pepino y Carlomagno, al mismo que en ella hace la persona principal le atribuyan que fue el emperador Heraclio, que entró con la Cruz en Jerusalén, y el que ganó la Casa Santa, como Godofre de Bullón, habiendo infinitos años de lo uno a lo otro; y fundándose la comedia sobre cosa fingida, atribuirle verdades de historia y mezclarle pedazos de otras sucedidas a diferentes personas y tiempos, y esto, no con trazas verisímiles, sino con patentes errores, de todo punto inexcusables? Y es lo malo que hay ignorantes que digan que esto es lo perfecto, y que lo demás es buscar gullurías. Pues ¿qué, si venimos a las comedias divinas? ¡Qué de milagros falsos fingen en ellas, qué de cosas apócrifas y mal entendidas, atribuyendo a un santo los milagros de otro! Y aun en las humanas se atreven a hacer milagros, sin más respeto ni consideración que parecerles que allí estará bien el tal milagro y apariencia, como ellos llaman, para que gente ignorante se admire y venga a la comedia; que todo esto es en perjuicio de la verdad y en menoscabo de las historias, y aun en oprobio de los ingenios españoles; porque los extranjeros, que con mucha puntualidad guardan la leyes de la comedia, nos tienen por bárbaros e ignorantes, viendo los absurdos y disparates de las que hacemos. Y no sería bastante disculpa desto decir que el principal intento que las repúblicas bien ordenadas tienen permitiendo que se hagan públicas comedias es para entretener la comunidad con alguna honesta recreación, y divertirla a veces de los malos humores que suele engendrar la ociosidad; y que, pues éste se consigue con cualquier comedia, buena o mala, no hay para qué poner leyes, ni estrechar a los que las componen y representan a que las hagan como debían hacerse, pues, como he dicho, con cualquiera se consigue lo que con ellas se pretende. A lo cual respondería yo que este fin se conseguiría mucho mejor, sin comparación alguna, con las comedias buenas que con las no tales; porque de haber oído la comedia artificiosa y bien ordenada, saldría el oyente alegre con las burlas, enseñado con las veras, admirado de los sucesos, discreto con las razones, advertido con los embustes, sagaz con los ejemplos, airado contra el vicio y enamorado de la virtud; que todos estos afectos ha de despertar la buena comedia en el ánimo del que la escuchare, por rústico y torpe que sea, y de toda imposibilidad es imposible dejar de alegrar y entretener, satisfacer y contentar, la comedia que todas estas partes tuviere mucho más que aquella que careciere dellas, como por la mayor parte carecen éstas que de ordinario agora se representan. Y no tienen la culpa desto los poetas que las componen, porque algunos hay dellos que conocen muy bien en lo que yerran, y saben extremadamente lo que deben hacer; pero como las comedias se han hecho mercadería vendible, dicen, y dicen verdad, que los representantes no se las comprarían si no fuesen de aquel jaez; y así, el poeta procura acomodarse con lo que el representante que le ha de pagar su obra le pide. Y que esto sea Verdad véase por muchas e infinitas comedias que ha compuesto un felicísimo ingenio destos reinos, con tanta gala, con tanto donaire, con tan elegante verso, con tan buenas razones, con tan graves sentencias, y, finalmente, tan llenas de elocución y alteza de estilo, que tiene lleno el mundo de su fama; y, por querer acomodarse al gusto de los representantes, no han llegado todas, como han llegado algunas, al punto de la perfección que requieren. Otros las componen tan sin mirar lo que hacen, que después de representadas tienen necesidad los recitantes de huirse y ausentarse, temerosos de ser castigados, como lo han sido muchas veces, por haber representado cosas en perjuicio de algunos reyes y en deshonra de algunos linajes. Y todos estos inconvenientes cesarían, y aun otros muchos más que no digo, con que hubiese en la Corte una persona inteligente y discreta que examinase
+todas las comedias antes que se representasen; no sólo aquellas que se hiciesen en la Corte, sino todas las que se quisiesen representar en España; sin la cual aprobación, sello y firma ninguna justicia en su lugar dejase representar comedia alguna; y desta manera, los comediantes tendrían cuidado de enviar las comedias a la Corte, y con seguridad podrían reprensentallas, y aquellos que las componen mirarían con más cuidado y estudio lo que hacían, temerosos de haber de pasar sus obras por el riguroso examen de quien lo entiende; y desta manera se harían buenas comedias y se conseguiría facilísimamente lo que en ellas se pretende; así el entretenimiento del pueblo como la opinión de los ingenios de España, el interés y seguridad de los recitantes, y el ahorro del cuidado de castigallos. Y si se diese cargo a otro, o a este mismo, que examinase los libros de caballerías que de nuevo se compusiesen, sin duda podrían salir algunos con la perfección que vuestra merced ha dicho, enriqueciendo nuestra lengua del agradable y precioso tesoro de la elocuencia, dando ocasión que los libros viejos se escureciesen a la luz de los nuevos que saliesen, para honesto pasatiempo, no solamente de los ociosos, sino de los más ocupados, pues no es posible que esté continuo el arco armado, ni la condición y flaqueza humana se pueda sustentar sin alguna lícita recreación.
+A este punto de su coloquio llegaban el canónigo y el cura, cuando adelantándose el barbero, llegó a ellos, y dijo al cura:
+-Aquí, señor licenciado, es el lugar que yo dije que era bueno para que, sesteando nosotros, tuviesen los bueyes fresco y abundoso pasto.
+-Así me lo parece a mi -respondió el cura.
+Y diciendo al canónigo lo que pensaba hacer, él también quiso quedarse con ellos, convidado del sitio de un hermoso valle que a la vista se les ofrecía. Y así por gozar dél como de la conversación del cura, de quien ya iba aficionado, y por saber más por menudo las hazañas de don Quijote, mandó a algunos de sus criados que se fuesen a la venta que no lejos de allí estaba, y trujesen della lo que hubiese de comer, para todos, porque él determinaba de sestear en aquel lugar aquella tarde; a lo cual uno de sus criados respondió que el acémila del repuesto, que ya debía de estar en la venta, traía recado bastante para no obligar a tomar de la venta más que cebada.
+-Pues así es -dijo el canónigo-, llévense allá todas las cabalgaduras, y haced volver la acémila.
+En tanto que esto pasaba, viendo Sancho que podía hablar a su amo sin la continua asistencia del cura y el barbero, que tenía por sospechosos, se llegó a la jaula donde iba su amo, y le dijo:
+-Señor, para descargo de mi conciencia le quiero decir lo que pasa cerca de su encantamento; y es que aquestos dos que vienen aquí cubiertos los rostros son el cura de nuestro lugar y el barbero; y imagino han dado esta traza de llevalle desta manera, de pura envidia que tienen, como vuestra merced se les adelanta en hacer famosos hechos. Presupuesta, pues, esta verdad, síguese que no va encantado, sino embaído y tonto. Para prueba de lo cual le quiero preguntar una cosa; y si me responde como creo que me ha de responder, tocará con la mano este engaño y verá como no va encantado, sino trastornado el juicio.
+-Pregunta lo que quisieres, hijo Sancho -respondió don Quijote-; que yo te satisfaré y responderé a toda tu voluntad. Y en lo que dices que aquellos que allí van y vienen con nosotros son el cura y el barbero, nuestros compatriotas y conocidos, bien podrá ser que parezca que son ellos mesmos; pero que lo sean realmente y en
+efeto, eso no lo creas en ninguna manera. Lo que has de creer y entender es que si ellos se les parecen, como dices, debe de ser que los que me han encantado habrán tomado esa apariencia y semejanza; porque es fácil a los encantadores tomar la figura que se les antoja, y habrán tomado las destos nuestros amigos, para darte a ti ocasión de que pienses lo que piensas y ponerte en un laberinto de imaginaciones, que no aciertes a salir dél, aunque tuvieses la soga de Teseo. Y también lo habrán hecho para que yo vacile en mi entendimiento, y no sepa atinar de dónde me viene este daño; porque si, por una parte, tú me dices que me acompañan el barbero y el cura de nuestro pueblo, y, por otra, yo me veo enjaulado, y sé de mi que fuerzas humanas, como no fueran sobrenaturales, no fueran bastantes para enjaularme, ¿qué quieres que diga o piense sino que la manera de mi encantamento excede a cuantas yo he leído en todas las historias que tratan de caballeros andantes que han sido encantados? Ansí que bien puedes darte paz y sosiego en esto de creer que son los que dices, porque así son ellos como yo soy turco. Y en lo que toca a querer preguntarme algo, di, que yo te responderé, aunque me preguntes de aquí a mañana.
+-¡Válame Nuestra Señora! –respondió Sancho dando una gran voz-. Y ¿es posible que sea vuestra merced tan duro de celebro y tan falto de meollo, que no eche de ver que es pura verdad la que le digo, y que en esta su prisión y desgracia tiene más parte la malicia que el encanto? Pero, pues así es, yo le quiero probar evidentemente cómo no va encantado. Si no, dígame, así Dios le saque desta tormenta. y así se vea en los brazos de mi señora Dulcinea cuando menos se piense...
+-Acaba de conjurarme -dijo don Quijote-, y pregunta lo que quisieres; que ya te he dicho que te responderé con toda puntualidad.
+-Eso pido -replicó Sancho--; y lo que quiero saber es que me diga, sin añadir ni quitar cosa ninguna, sino con toda verdad, como se espera que la han de decir y la dicen todos aquellos que profesan las armas, como vuestra merced las profesa, debajo de título de caballeros andantes...
+-Digo que no mentir ¿en cosa alguna -respondió don Quijote-. Acaba ya de preguntar; que en verdad que me cansas con tantas salvas, plegarias y prevenciones, Sancho.
+-Digo que yo estoy seguro de la bondad y verdad de mi amo; y así, porque hace al caso a nuestro cuento, pregunto, hablando con acatamiento, si acaso después que vuestra merced va enjaulado y, a su parecer, encantado en esta jaula, le ha venido gana y voluntad de hacer aguas mayores o menores, como suele decirse.
+-No entiendo eso de hacer aguas, Sancho; aclárate más, si quieres que te responda derechamente.
+-¿Es posible que no entiende vuestra merced de hacer aguas menores o mayores? Pues en la escuela destetan a los muchachos con ello. Pues sepa que quiero decir si le ha venido gana de hacer lo que no se excusa.
+-¡Ya, ya te entiendo, Sancho! Y muchas veces; y aun agora la tengo. ¡Sácame deste peligro, que no anda todo limpio!
+Capítulo 49: Donde se trata del discreto coloquio que Sancho Panza tuvo con su señor don Quijote
+-¡Ah! -dijo Sancho-. Cogido le tengo: esto es lo que yo deseaba saber, como al alma y como a la vida. Venga acá, señor; ¿podría negar lo que comúnmente suele decirse por ahí cuando una persona está de mala voluntad: «No sé qué tiene fulano, que ni come, ni bebe, ni duerme, ni responde a propósito a lo que le preguntan, que no parece sino que está encantado»? De donde se viene a sacar, que los que no comen, ni beben, ni duermen, ni hacen las obras naturales que yo digo, estos tales están encantados; pero no aquellos que tienen la gana que vuestra merced tiene, y que bebe cuando se lo dan, y come cuando lo tiene, y responde a todo aquello que le preguntan.
+-Verdad dices, Sancho -respondió don Quijote-; pero ya te he dicho que hay muchas maneras de encantamentos, y podría ser que con el tiempo se hubiesen mudado de unos en otros, y que agora se use que los encantados hagan todo lo que yo hago, aunque antes no lo hacían. De manera, que contra el uso de los tiempos no hay que argüir ni de qué hacer consecuencias. Yo sé y tengo para mí que voy encantado, y esto me basta para la seguridad de mi conciencia; que la formaría muy grande si yo pensase que no estaba encantado y me dejase estar en esta jaula perezoso y cobarde, defraudando el socorro que podría dar a muchos menesterosos y necesitados que de mi ayuda y amparo deben tener a la hora de ahora precisa y extrema necesidad.
+-Pues, con todo eso -replicó Sancho-, digo que para mayor abundancia y satisfación, sería bien que vuestra merced probase a salir desta cárcel, que yo me obligo con todo mi poder a facilitarlo, y aun a sacarle della, y probase de nuevo a subir sobre su buen Rocinante, que también parece que va encantado, según va de melancólico y triste; y, hecho esto, probásemos otra vez la suerte de buscar más aventuras; y si no nos sucediese bien, tiempo nos queda para volvemos a la jaula, en la cual prometo, a la ley de buen y leal escudero, de encerrarme juntamente con vuestra merced, sí acaso fuere vuestra merced tan desdichado, o yo tan simple, que no acierte a salir con lo que digo.
+-Yo soy contento de hacer lo que dices, Sancho hermano -replicó don Quijote-; y cuando tú veas coyuntura de poner en obra mi libertad, yo te obedeceré en todo y por todo; pero tú, Sancho, verás cómo te engañas en el conocimiento de mi desgracia.
+En estas pláticas se entretuvieron el caballero andante y el mal andante escudero, hasta que llegaron donde, ya apeados, los aguardaban el cura, el canónigo y el barbero. Desunció luego los bueyes de la carreta el boyero, y dejólos andar a sus anchuras por aquel verde y apacible sitio, cuya frescura convidaba a quererla gozar, no a las personas tan encantadas como don Quijote, sino a los tan advertidos y discretos como su escudero; el cual rogó al cura que permitiese que su señor saliese por un rato de la jaula, porque si no lo dejaban salir, no iría tan limpia aquella prisión como requería la decencia de un tal caballero como su amo. Entendióle el cura, y dijo que de muy buena gana haría lo que le pedía, si no temiera que en viéndose su señor en libertad había de hacer de las suyas, y irse donde jamás gentes le viesen.
+-Yo le fío de la fuga -respondió Sancho.
+-Y yo y todo -dijo el canónigo-, y más si él me da la palabra como caballero de no apartarse de nosotros hasta que sea nuestra voluntad.
+-Si doy -respondió don Quijote, que todo lo estaba escuchando-; cuanto más que el que está encantado, como yo, no tiene libertad para hacer de su persona lo que quisiere, porque el que le encantó le puede hacer que no se mueva de un lugar en tres siglos; y si hubiere huido, le hará volver en volandas. -Y que, pues esto era así, bien podían soltalle, y más siendo tan en provecho de todos; y del no soltalle les protestaba que no podía dejar de fatigalles el olfato, si de allí no se desviaban.
+Tomóle la mano el canónigo, aunque las tenía atadas, y debajo de su buena fe y palabra, le desenjaularon, de que él se alegró infinito y en grande manera de verse fuera de la jaula; y lo primero que hizo fue estirarse todo el cuerpo, y luego se fue donde estaba Rocinante y dándole dos palmadas en las ancas, dijo:
+-Aún espero en Dios y en su bendita Madre, flor y espejo de los caballos, que presto nos hemos de ver los dos cual deseamos; tú, con tu señor a cuestas; y yo, encima de ti, ejercitando el oficio para que Dios me echó al mundo.
+Y diciendo esto don Quijote, se apartó con Sancho en remota parte, de donde vino más aliviado, y con más deseos de poner en obra lo que su escudero ordenase.
+Mirábalo el canónigo, y admirábase de ver la extrañeza de su grande locura, y de que en cuanto hablaba y respondía mostraba tener bonísimo entendimiento; solamente venia a perder los estribos, como otras veces se ha dicho, en tratándole de caballería. Y así, movido de compasión, después de haberse sentado todos en la verde yerba para esperar el repuesto del canónigo, le dijo:
+-¿Es posible, señor hidalgo, que haya podido tanto con vuestra merced la amarga y ociosa letura de los libros de caballerías, que le hayan vuelto el juicio de modo que venga a creer que va encantado, con otras cosas deste jaez, tan lejos de ser verdaderas como lo está la mesma mentira de la verdad? Y ¿cómo es posible que haya entendimiento humano que se dé a entender que ha habido en el mundo aquella infinidad de Amadises, y aquella turbamulta de tanto famoso caballero, tanto emperador de Trapisonda, tanto Felixmarte de Hircania, tanto palafrén, tanta doncella andante, tantas sierpes, tantos endriagos, tantos gigantes, tantas inauditas aventuras, tanto género de encantamentos, tantas batallas, tantos desaforados encuentros, tanta bizarría de trajes, tantas princesas enamoradas, tantos escuderos condes, tantos enanos graciosos, tanto billete, tanto requiebro, tantas mujeres valientes, y, finalmente, tantos y tan disparatados casos como los libros de caballerías contienen? De mí sé decir que cuando los leo, en tanto que no pongo la imaginación en pensar que son todos mentira y liviandad, me dan algún contento; pero cuando caigo en la cuenta de lo que son, doy con el mejor dellos en la pared, y aun diera con él en el fuego, si cerca o presente le tuviera, bien como a merecedores de tal pena, por ser falsos y embusteros, y fuera del trato que pide la común naturaleza, y como a inventores de nuevas sectas y de nuevo modo de vida, y como a quien da ocasión que el vulgo ignorante venga a creer y a tener por verdaderas tantas necedades como contienen. Y aun tienen tanto atrevimiento, que se atreven a turbar los ingenios de los discretos y bien nacidos hidalgos, como se echa bien de ver por lo que con vuestra merced han hecho, pues le han traído a términos, que sea forzoso encerrarle en una jaula, y traerle sobre un carro de bueyes, como quien trae o lleva algún león o algún tigre de lugar en lugar, para ganar con él dejando que le vean. ¡Ea, señor don Quijote, duélase de sí mismo, y redúzgase al gremio de la discreción, y sepa usar de la mucha que el cielo fue servido de darle, empleando el felicísimo talento de su ingenio en otra letura que redunde en aprovechamiento de su conciencia y en aumento de su honra! Y si todavía, llevado de su natural inclinación, quisiere leer libros de hazañas y de caballerías, lea en la Sacra Escritura el de los Jueces; que allí hallará verdades grandiosas y hechos tan verdaderos como valientes. Un Viriato tuvo Lusitania; un César, Roma; un Aníbal, Cartago; un Alejandro, Grecia; un Conde Fernán González, Castilla; un Cid, Valencia; un Gonzalo Fernández, Andalucía; un Diego García de Paredes, Extremadura; un Garci Pérez de Vargas, Jerez; un Garcilaso, Toledo; un don Manuel de León, Sevilla, cuya leción de sus valerosos hechos puede entretener, enseñar, deleitar y admirar a los más altos ingenios que los leyeren. Esta sí será letura digna del buen entendimiento de vuestra merced, señor don Quijote mío, de la cual saldrá erudito en la historia, enamorado de la virtud, enseñado en la bondad, mejorado en las costumbres, valiente sin temeridad, osado sin cobardía, y todo esto, para honra de Dios, provecho suyo y fama de la Mancha, do, según he sabido, trae vuestra merced su principio y origen.
+Atentísimamente estuvo don Quijote escuchando las razones del canónigo; y cuando vio que ya había puesto fin a ellas, después de haberle estado un buen espacio mirando, le dijo:
+-Paréceme, señor hidalgo, que la plática de vuestra merced se ha encaminado a querer darme a entender que no ha habido caballeros andantes en el mundo, y que todos los libros de caballerías son falsos, mentirosos, dañadores e inútiles para la república, y que yo he hecho mal en leerlos, y peor en creerlos, y más mal en imitarlos, habiéndome puesto a seguir la durísima profesión de la caballería andante, que ellos enseñan, negándome que no ha habido en el mundo Amadises, ni de Gaula ni de Grecia, ni todos los otros caballeros de que las escrituras están llenas.
+-Todo es al pie de la letra como vuestra merced lo va relatando -dijo a esta sazón el canónigo.
+A lo cual respondió don Quijote:
+-Añadió también vuestra merced, diciendo que me habían hecho mucho daño tales libros, pues me habían vuelto el juicio y puéstome en una jaula, y que me sería mejor hacer la enmienda y mudar de letura, leyendo otros más verdaderos y que mejor deleitan y enseñan.
+-Así es -dijo el canónigo.
+-Pues yo -replicó don Quijote- hallo por mi cuenta que el sin juicio y el encantado es vuestra merced, pues se ha puesto a decir tantas blasfemias contra una cosa tan recebida en el mundo, y tenida por tan verdadera, que el que la negase, como vuestra merced la niega, merecía la mesma pena que vuestra merced dice que da a los libros cuando los lee y le enfadan. Porque querer dar a entender a nadie que Amadís no fue en el mundo, ni todos los otros caballeros aventureros de que están colmadas las historias, será querer persuadir que el sol no alumbra, ni el yelo enfría, ni la tierra sustenta; porque ¿qué ingenio puede haber en el mundo que pueda persuadir a otro que no fue verdad lo de la infanta Floripes y Guy de Borgoña, y lo de Fierabrás con la puente de Mantible, que sucedió en el tiempo de Carlo Magno, que voto a tal que es tanta verdad como es ahora de día? Y si es mentira, también lo debe de ser que no hubo Héctor, ni Aquiles, ni la guerra de Troya, ni los doce Pares de Francia, ni el rey Artús de Ingalaterra, que anda hasta ahora convertido en cuervo, y le esperan en su reino por momentos. Y también se atreverán a decir que es mentirosa la historia de Guarno Mezquino, y la de la demanda del Santo Grial, y que son apócrifos los amores de don Tristán y la reina Iseo, como los de Ginebra y Lanzarote, habiendo personas que casi se acuerdan de haber visto a la dueña Quintañona, que fue la mejor escanciadora de vino que tuvo la Gran Bretaña. Y es esto tan ansí, que me acuerdo yo que me decía una mi agüela de partes de mi padre, cuando veía alguna dueña con tocas reverendas. «Aquella, nieto, se parece a la dueña Quintañona.» De donde arguyo yo que la debió de conocer ella, o, por lo menos, debió de alcanzar a ver algún retrato suyo. Pues ¿quién podrá negar no ser verdadera la historia de Pierres y la linda Magalona, pues aun hasta hoy día se vee en la armería de los Reyes la clavija con que volvía al caballo de madera sobre quien iba el valiente Pierres por los aires, que es un poco mayor que un timón de carreta? Y junto a la clavija está la silla de Babieca, y en Roncesvalles está el cuerno de Roldán, tamaño como una grande viga; de donde se infiere que hubo doce Pares, que hubo Pierres, que hubo Cides, y otros caballeros semejantes,
+déstos que dicen las gentes
+que a sus aventuras van.
+Si no, díganme también que no es verdad que fue caballero andante el valiente lusitano Juan de Merlo, que fue a Borgoña y se combatió en la ciudad de Ras con el famoso señor de Charni, llamado mosén Pierres, y después, en la ciudad de Basilea, con mosén Enrique de Remestán, saliendo de entrambas empresas vencedor y lleno de honrosa fama; y las aventuras y desafíos que también acabaron en Borgoña los valientes españoles Pedro Barba y Gutierre Quijada (de cuya alcurnia yo deciendo por línea recta de varón), venciendo a los hijos del conde de San Polo. Niéguenme asimesmo que no fue a buscar las aventuras a Alemania don Fernando de Guevara, donde se combatió con Micer Jorge, caballero de la casa del duque de Austria; digan que fueron burla las justas de Suero de Quiñones, del Paso; las empresas de mosén Luis de Falces contra don Gonzalo de Guzmán, caballero castellano, con otras muchas hazañas hechas por caballeros cristianos, déstos y de los reinos extranjeros, tan auténticas y verdaderas, que torno a decir que el que las negase carecería de toda razón y buen discurso.
+Admirado quedó el canónigo de oír la mezcla que don Quijote hacía de verdades y mentiras, y de ver la noticia que tenía de todas aquellas cosas tocantes y concernientes a los hechos de su andante caballería, y así le respondió:
+-No puedo yo negar, señor don Quijote, que no sea verdad algo de lo que vuestra merced ha dicho, especialmente en lo que toca a los caballeros andantes españoles; y asimesmo quiero conceder que hubo doce Pares de Francia; pero no quiero creer que hicieron todas aquellas cosas que el arzobispo Turpín dellos escribe; porque la verdad dello es que fueron caballeros escogidos por los reyes de Francia, a quien llamaron pares por ser todos iguales en valor, en calidad y en valentía; a lo menos, si no lo eran, era razón que lo fuesen, y era como una religión de las que ahora se usan de Santiago o de Calatrava, que se presupone que los que la profesan han de ser, o deben ser, caballeros valerosos, valientes y bien nacidos; y como ahora dicen caballero de San Juan, o de Alcántara, decían en aquel tiempo caballero de los doce Pares, porque fueron doce iguales los que para esta religión militar se escogieron. En lo de que hubo Cid no hay duda, ni menos Bernardo del Carpio; pero de que hicieron las hazañas que dicen, creo que la hay muy grande. En lo otro de la clavija que vuestra merced dice del Conde Pierres, y que está junto a la silla de Babieca en la armería de los Reyes, confieso mi pecado; que soy tan ignorante, o tan corto de vista, que, aunque he visto la silla, no he echado de ver la clavija, y más siendo tan grande como vuestra merced ha dicho.
+-Pues allí está, sin duda alguna –replicó don Quijote-; y, por más señas, dicen que está metida en una funda de vaqueta, porque no se tome de moho.
+-Todo puede ser -respondió el canónigo-; pero por las órdenes que recebí que no me acuerdo haberla visto. Mas puesto que conceda que está allí, no por eso me obligo a creer las historias de tantos Amadises, ni las de tanta turbamulta de caballeros como por ahí nos cuentan, ni es razón que un hombre como vuestra merced, tan honrado y de tan buenas partes, y dotado de tan buen entendimiento, se dé a entender que son verdaderas tantas y tan extrañas locuras como las que están escritas en los disparatados libros de caballerías.
+Capítulo 49: Donde se trata del discreto coloquio que Sancho Panza tuvo con su señor don Quijote
+-¡Ah! -dijo Sancho-. Cogido le tengo: esto es lo que yo deseaba saber, como al alma y como a la vida. Venga acá, señor; ¿podría negar lo que comúnmente suele decirse por ahí cuando una persona está de mala voluntad: «No sé qué tiene fulano, que ni come, ni bebe, ni duerme, ni responde a propósito a lo que le preguntan, que no parece sino que está encantado»? De donde se viene a sacar, que los que no comen, ni beben, ni duermen, ni hacen las obras naturales que yo digo, estos tales están encantados; pero no aquellos que tienen la gana que vuestra merced tiene, y que bebe cuando se lo dan, y come cuando lo tiene, y responde a todo aquello que le preguntan.
+-Verdad dices, Sancho -respondió don Quijote-; pero ya te he dicho que hay muchas maneras de encantamentos, y podría ser que con el tiempo se hubiesen mudado de unos en otros, y que agora se use que los encantados hagan todo lo que yo hago, aunque antes no lo hacían. De manera, que contra el uso de los tiempos no hay que argüir ni de qué hacer consecuencias. Yo sé y tengo para mí que voy encantado, y esto me basta para la seguridad de mi conciencia; que la formaría muy grande si yo pensase que no estaba encantado y me dejase estar en esta jaula perezoso y cobarde, defraudando el socorro que podría dar a muchos menesterosos y necesitados que de mi ayuda y amparo deben tener a la hora de ahora precisa y extrema necesidad.
+-Pues, con todo eso -replicó Sancho-, digo que para mayor abundancia y satisfación, sería bien que vuestra merced probase a salir desta cárcel, que yo me obligo con todo mi poder a facilitarlo, y aun a sacarle della, y probase de nuevo a subir sobre su buen Rocinante, que también parece que va encantado, según va de melancólico y triste; y, hecho esto, probásemos otra vez la suerte de buscar más aventuras; y si no nos sucediese bien, tiempo nos queda para volvemos a la jaula, en la cual prometo, a la ley de buen y leal escudero, de encerrarme juntamente con vuestra merced, sí acaso fuere vuestra merced tan desdichado, o yo tan simple, que no acierte a salir con lo que digo.
+-Yo soy contento de hacer lo que dices, Sancho hermano -replicó don Quijote-; y cuando tú veas coyuntura de poner en obra mi libertad, yo te obedeceré en todo y por todo; pero tú, Sancho, verás cómo te engañas en el conocimiento de mi desgracia.
+En estas pláticas se entretuvieron el caballero andante y el mal andante escudero, hasta que llegaron donde, ya apeados, los aguardaban el cura, el canónigo y el barbero. Desunció luego los bueyes de la carreta el boyero, y dejólos andar a sus anchuras por aquel verde y apacible sitio, cuya frescura convidaba a quererla gozar, no a las personas tan encantadas como don Quijote, sino a los tan advertidos y discretos como su escudero; el cual rogó al cura que permitiese que su señor saliese por un rato de la jaula, porque si no lo dejaban salir, no iría tan limpia aquella prisión como requería la decencia de un tal caballero como su amo. Entendióle el cura, y dijo que de muy buena gana haría lo que le pedía, si no temiera que en viéndose su señor en libertad había de hacer de las suyas, y irse donde jamás gentes le viesen.
+-Yo le fío de la fuga -respondió Sancho.
+-Y yo y todo -dijo el canónigo-, y más si él me da la palabra como caballero de no apartarse de nosotros hasta que sea nuestra voluntad.
+-Si doy -respondió don Quijote, que todo lo estaba escuchando-; cuanto más que el que está encantado, como yo, no tiene libertad para hacer de su persona lo que quisiere, porque el que le encantó le puede hacer que no se mueva de un lugar en tres siglos; y si hubiere huido, le hará volver en volandas. -Y que, pues esto era así, bien podían soltalle, y más siendo tan en provecho de todos; y del no soltalle les protestaba que no podía dejar de fatigalles el olfato, si de allí no se desviaban.
+Tomóle la mano el canónigo, aunque las tenía atadas, y debajo de su buena fe y palabra, le desenjaularon, de que él se alegró infinito y en grande manera de verse fuera de la jaula; y lo primero que hizo fue estirarse todo el cuerpo, y luego se fue donde estaba Rocinante y dándole dos palmadas en las ancas, dijo:
+-Aún espero en Dios y en su bendita Madre, flor y espejo de los caballos, que presto nos hemos de ver los dos cual deseamos; tú, con tu señor a cuestas; y yo, encima de ti, ejercitando el oficio para que Dios me echó al mundo.
+Y diciendo esto don Quijote, se apartó con Sancho en remota parte, de donde vino más aliviado, y con más deseos de poner en obra lo que su escudero ordenase.
+Mirábalo el canónigo, y admirábase de ver la extrañeza de su grande locura, y de que en cuanto hablaba y respondía mostraba tener bonísimo entendimiento; solamente venia a perder los estribos, como otras veces se ha dicho, en tratándole de caballería. Y así, movido de compasión, después de haberse sentado todos en la verde yerba para esperar el repuesto del canónigo, le dijo:
+-¿Es posible, señor hidalgo, que haya podido tanto con vuestra merced la amarga y ociosa letura de los libros de caballerías, que le hayan vuelto el juicio de modo que venga a creer que va encantado, con otras cosas deste jaez, tan lejos de ser verdaderas como lo está la mesma mentira de la verdad? Y ¿cómo es posible que haya entendimiento humano que se dé a entender que ha habido en el mundo aquella infinidad de Amadises, y aquella turbamulta de tanto famoso caballero, tanto emperador de Trapisonda, tanto Felixmarte de Hircania, tanto palafrén, tanta doncella andante, tantas sierpes, tantos endriagos, tantos gigantes, tantas inauditas aventuras, tanto género de encantamentos, tantas batallas, tantos desaforados encuentros, tanta bizarría de trajes, tantas princesas enamoradas, tantos escuderos condes, tantos enanos graciosos, tanto billete, tanto requiebro, tantas mujeres valientes, y, finalmente, tantos y tan disparatados casos como los libros de caballerías contienen? De mí sé decir que cuando los leo, en tanto que no pongo la imaginación en pensar que son todos mentira y liviandad, me dan algún contento; pero cuando caigo en la cuenta de lo que son, doy con el mejor dellos en la pared, y aun diera con él en el fuego, si cerca o presente le tuviera, bien como a merecedores de tal pena, por ser falsos y embusteros, y fuera del trato que pide la común naturaleza, y como a inventores de nuevas sectas y de nuevo modo de vida, y como a quien da ocasión que el vulgo ignorante venga a creer y a tener por verdaderas tantas necedades como contienen. Y aun tienen tanto atrevimiento, que se atreven a turbar los ingenios de los discretos y bien nacidos hidalgos, como se echa bien de ver por lo que con vuestra merced han hecho, pues le han traído a términos, que sea forzoso encerrarle en una jaula, y traerle sobre un carro de bueyes, como quien trae o lleva algún león o algún tigre de lugar en lugar, para ganar con él dejando que le vean. ¡Ea, señor don Quijote, duélase de sí mismo, y redúzgase al gremio de la discreción, y sepa usar de la mucha que el cielo fue servido de darle, empleando el felicísimo talento de su ingenio en otra letura que redunde en aprovechamiento de su conciencia y en aumento de su honra! Y si todavía, llevado de su natural inclinación, quisiere leer libros de hazañas y de caballerías, lea en la Sacra Escritura el de los Jueces; que allí hallará verdades grandiosas y hechos tan verdaderos como valientes. Un Viriato tuvo Lusitania; un César, Roma; un Aníbal, Cartago; un Alejandro, Grecia; un Conde Fernán González, Castilla; un Cid, Valencia; un Gonzalo Fernández, Andalucía; un Diego García de Paredes, Extremadura; un Garci Pérez de Vargas, Jerez; un Garcilaso, Toledo; un don Manuel de León, Sevilla, cuya leción de sus valerosos hechos puede entretener, enseñar, deleitar y admirar a los más altos ingenios que los leyeren. Esta sí será letura digna del buen entendimiento de vuestra merced, señor don Quijote mío, de la cual saldrá erudito en la historia, enamorado de la virtud, enseñado en la bondad, mejorado en las costumbres, valiente sin temeridad, osado sin cobardía, y todo esto, para honra de Dios, provecho suyo y fama de la Mancha, do, según he sabido, trae vuestra merced su principio y origen.
+Atentísimamente estuvo don Quijote escuchando las razones del canónigo; y cuando vio que ya había puesto fin a ellas, después de haberle estado un buen espacio mirando, le dijo:
+-Paréceme, señor hidalgo, que la plática de vuestra merced se ha encaminado a querer darme a entender que no ha habido caballeros andantes en el mundo, y que todos los libros de caballerías son falsos, mentirosos, dañadores e inútiles para la república, y que yo he hecho mal en leerlos, y peor en creerlos, y más mal en imitarlos, habiéndome puesto a seguir la durísima profesión de la caballería andante, que ellos enseñan, negándome que no ha habido en el mundo Amadises, ni de Gaula ni de Grecia, ni todos los otros caballeros de que las escrituras están llenas.
+-Todo es al pie de la letra como vuestra merced lo va relatando -dijo a esta sazón el canónigo.
+A lo cual respondió don Quijote:
+-Añadió también vuestra merced, diciendo que me habían hecho mucho daño tales libros, pues me habían vuelto el juicio y puéstome en una jaula, y que me sería mejor hacer la enmienda y mudar de letura, leyendo otros más verdaderos y que mejor deleitan y enseñan.
+-Así es -dijo el canónigo.
+-Pues yo -replicó don Quijote- hallo por mi cuenta que el sin juicio y el encantado es vuestra merced, pues se ha puesto a decir tantas blasfemias contra una cosa tan recebida en el mundo, y tenida por tan verdadera, que el que la negase, como vuestra merced la niega, merecía la mesma pena que vuestra merced dice que da a los libros cuando los lee y le enfadan. Porque querer dar a entender a nadie que Amadís no fue en el mundo, ni todos los otros caballeros aventureros de que están colmadas las historias, será querer persuadir que el sol no alumbra, ni el yelo enfría, ni la tierra sustenta; porque ¿qué ingenio puede haber en el mundo que pueda persuadir a otro que no fue verdad lo de la infanta Floripes y Guy de Borgoña, y lo de Fierabrás con la puente de Mantible, que sucedió en el tiempo de Carlo Magno, que voto a tal que es tanta verdad como es ahora de día? Y si es mentira, también lo debe de ser que no hubo Héctor, ni Aquiles, ni la guerra de Troya, ni los doce Pares de Francia, ni el rey Artús de Ingalaterra, que anda hasta ahora convertido en cuervo, y le esperan en su reino por momentos. Y también se atreverán a decir que es mentirosa la historia de Guarno Mezquino, y la de la demanda del Santo Grial, y que son apócrifos los amores de don Tristán y la reina Iseo, como los de Ginebra y Lanzarote, habiendo personas que casi se acuerdan de haber visto a la dueña Quintañona, que fue la mejor escanciadora de vino que tuvo la Gran Bretaña. Y es esto tan ansí, que me acuerdo yo que me decía una mi agüela de partes de mi padre, cuando veía alguna dueña con tocas reverendas. «Aquella, nieto, se parece a la dueña Quintañona.» De donde arguyo yo que la debió de conocer ella, o, por lo menos, debió de alcanzar a ver algún retrato suyo. Pues ¿quién podrá negar no ser verdadera la historia de Pierres y la linda Magalona, pues aun hasta hoy día se vee en la armería de los Reyes la clavija con que volvía al caballo de madera sobre quien iba el valiente Pierres por los aires, que es un poco mayor que un timón de carreta? Y junto a la clavija está la silla de Babieca, y en Roncesvalles está el cuerno de Roldán, tamaño como una grande viga; de donde se infiere que hubo doce Pares, que hubo Pierres, que hubo Cides, y otros caballeros semejantes,
+déstos que dicen las gentes
+que a sus aventuras van.
+Si no, díganme también que no es verdad que fue caballero andante el valiente lusitano Juan de Merlo, que fue a Borgoña y se combatió en la ciudad de Ras con el famoso señor de Charni, llamado mosén Pierres, y después, en la ciudad de Basilea, con mosén Enrique de Remestán, saliendo de entrambas empresas vencedor y lleno de honrosa fama; y las aventuras y desafíos que también acabaron en Borgoña los valientes españoles Pedro Barba y Gutierre Quijada (de cuya alcurnia yo deciendo por línea recta de varón), venciendo a los hijos del conde de San Polo. Niéguenme asimesmo que no fue a buscar las aventuras a Alemania don Fernando de Guevara, donde se combatió con Micer Jorge, caballero de la casa del duque de Austria; digan que fueron burla las justas de Suero de Quiñones, del Paso; las empresas de mosén Luis de Falces contra don Gonzalo de Guzmán, caballero castellano, con otras muchas hazañas hechas por caballeros cristianos, déstos y de los reinos extranjeros, tan auténticas y verdaderas, que torno a decir que el que las negase carecería de toda razón y buen discurso.
+Admirado quedó el canónigo de oír la mezcla que don Quijote hacía de verdades y mentiras, y de ver la noticia que tenía de todas aquellas cosas tocantes y concernientes a los hechos de su andante caballería, y así le respondió:
+-No puedo yo negar, señor don Quijote, que no sea verdad algo de lo que vuestra merced ha dicho, especialmente en lo que toca a los caballeros andantes españoles; y asimesmo quiero conceder que hubo doce Pares de Francia; pero no quiero creer que hicieron todas aquellas cosas que el arzobispo Turpín dellos escribe; porque la verdad dello es que fueron caballeros escogidos por los reyes de Francia, a quien llamaron pares por ser todos iguales en valor, en calidad y en valentía; a lo menos, si no lo eran, era razón que lo fuesen, y era como una religión de las que ahora se usan de Santiago o de Calatrava, que se presupone que los que la profesan han de ser, o deben ser, caballeros valerosos, valientes y bien nacidos; y como ahora dicen caballero de San Juan, o de Alcántara, decían en aquel tiempo caballero de los doce Pares, porque fueron doce iguales los que para esta religión militar se escogieron. En lo de que hubo Cid no hay duda, ni menos Bernardo del Carpio; pero de que hicieron las hazañas que dicen, creo que la hay muy grande. En lo otro de la clavija que vuestra merced dice del Conde Pierres, y que está junto a la silla de Babieca en la armería de los Reyes, confieso mi pecado; que soy tan ignorante, o tan corto de vista, que, aunque he visto la silla, no he echado de ver la clavija, y más siendo tan grande como vuestra merced ha dicho.
+-Pues allí está, sin duda alguna –replicó don Quijote-; y, por más señas, dicen que está metida en una funda de vaqueta, porque no se tome de moho.
+-Todo puede ser -respondió el canónigo-; pero por las órdenes que recebí que no me acuerdo haberla visto. Mas puesto que conceda que está allí, no por eso me obligo a creer las historias de tantos Amadises, ni las de tanta turbamulta de caballeros como por ahí nos cuentan, ni es razón que un hombre como vuestra merced, tan honrado y de tan buenas partes, y dotado de tan buen entendimiento, se dé a entender que son verdaderas tantas y tan extrañas locuras como las que están escritas en los disparatados libros de caballerías.
+Capítulo 50: De las discretas altercaciones que don Quijote y el canónigo tuvieron, con otros sucesos
+-¡Bueno está eso! -respondió don Quijote-. Los libros que están impresos con licencia de los reyes y con aprobación de aquellos a quien se remitieron, y que con gusto general son leídos y celebrados de los grandes y de los chicos, de los pobres y de los ricos, de los letrados e ignorantes, de los plebeyos y caballeros, finalmente, de todo género de personas de cualquier estado y condición que sean, ¿habían de ser mentira, y más llevando tanta apariencia de verdad, pues nos cuentan el padre, la madre, la patria, los parientes, la edad, el lugar y las hazañas punto por punto y día por día, que el tal caballero hizo, o caballeros hicieron? Calle vuestra merced, no diga tal blasfemia, y créame que le aconsejo en esto lo que
+debe de hacer como discreto, si no léalos, y verá el gusto que recibe de su leyenda. Si no, dígame: ¿hay mayor contento que ver, como si dijésemos, aquí ahora se muestra delante de nosotros un gran lago de pez hirviendo a borbollones, y que andan nadando y cruzando por él muchas semientes, culebras y lagartos, y otros muchos géneros de animales feroces y espantables, y que del medio del lago sale una voz tristísima que dice: «Tú, caballero, quienquiera que seas, que el temeroso lago estás mirando, si quieres alcanzar el bien que debajo destas negras aguas se encubre, muestra el valor de tu fuerte pecho y arrójate en mitad de su negro y encendido licor; porque si así no lo haces, no serás digno de ver las altas maravillas que en sí encierran y contienen los siete castillos de las siete fadas que debajo desta negrura yacen?» ¿Y que apenas el caballero no ha acabado de oír la voz temerosa, cuando, sin entrar más en cuentas consigo, sin ponerse a considerar el peligro a que se pone, y aun sin despojarse de la pesadumbre de sus fuertes armas, encomendándose a Dios y a su señora, se arroja en mitad del bullente lago, y cuando no se cata ni sabe dónde ha de parar, se halla entre unos floridos campos, con quien los Elíseos no tienen que ver en ninguna cosa?
+Allí le parece que el cielo es más transparente, y que el sol luce con claridad más nueva; ofrécesele a los ojos una apacible floresta de tan verdes y frondosos árboles compuesta, que alegra a la vista su verdura, y entretiene los oídos el dulce y no aprendido canto de los pequeños, infinitos y pintados pajarillos que por los intricados ramos van cruzando. Aquí descubre un arroyuelo, cuyas frescas aguas, que líquidos cristales parecen, corren sobre menudas arenas y blancas pedrezuelas, que oro cernido y puras perlas semejan; acullá vee una artificiosa fuente de jaspe variado y de liso mármol compuesta; acá vee otra a lo brutesco ordenada, adonde las menudas conchas de las almejas con las torcidas casas blancas y amarillas del caracol, puestas con orden desordenada, mezclados entre ellas pedazos de cristal luciente y de contrahechas esmeraldas, hacen una variada labor, de manera que el arte, imitando a la naturaleza, parece que allí la vence. Acullá de improviso se le descubre un fuerte castillo o vistoso alcázar, cuyas murallas don de macizo oro, las almenas de diamantes, las puertas de jacintos; finalmente, él es de tan admirable compostura, que, con ser la materia de que está formado no menos que de diamantes, de carbuncos, de rubíes, de perlas, de oro y de esmeraldas, es de más estimación su hechura. Y ¿hay más que ver, después de haber visto esto, que ver salir por la puerta del castillo un buen número de doncellas, cuyos galanos y vistosos trajes, si yo me pusiese ahora a decirlos como las historias nos los cuentan, sería nunca acabar, y tomar luego la que parecía principal de todas por la mano al atrevido caballero que se arrojó en el ferviente lago, y llevarle, sin hablarle palabra, dentro del rico alcázar o castillo, y hacerle desnudar como su madre le parió, y bañarle con templadas aguas, y luego untarle todo con olorosos ungüentos, y vestirle una camisa de cendal delgadísimo, toda olorosa y perfumada, y acudir otra doncella y echarle un mantón sobre los hombros, que por lo menos menos, dicen que suele valer una ciudad, y aún más? ¿Qué es ver, pues, cuando nos cuentan que, tras todo esto, le llevan a otra sala, donde halla puestas las mesas, con tanto concierto, que queda suspenso y admirado? ¿Qué el verle echar agua a manos, toda de ámbar y de olorosas flores distilada? ¿Qué el hacerle sentar sobre una silla de marfil? ¿Qué verle servir todas las doncellas, guardando un maravilloso silencio? ¿Qué el traerle tanta diferencia de manjares, tan sabrosamente guisados, que no sabe el apetito a cuál deba de alargar la mano? ¿Cuál será oír la música que en tanto que come suena, sin saberse quién la canta ni adónde suena? ¿Y, después de la comida acabada y las mesas alzadas, quedarse el caballero recostado sobre la silla, y quizá mondándose los dientes, como es costumbre, entrar a deshora por la puerta de la sala otra mucho más hermosa doncella que ninguna de las primeras, y sentarse al lado del caballero, y comenzar a darle cuenta de qué castillo es aquél, y de cómo ella está encantada en él, con otras cosas que suspenden al caballero y admiran a los leyentes que van leyendo su historia? No quiero alargarme más en esto, pues dello se puede colegir que cualquiera parte que se lea de cualquiera
+historia de caballero andante ha de causar gusto y maravilla a cualquiera que la leyere. Y vuestra merced créame, y como otra vez le he dicho, lea estos libros, y verá cómo le destierran la melancolía que tuviere, y le mejoran la condición, si acaso la tiene mala. De mí sé decir que después que soy caballero andante soy valiente, comedido, liberal, biencriado, generoso, cortés, atrevido, blando, paciente, sufridor de trabajos, de prisiones, de encantos; y aunque ha tan poco que me vi encerrado en una jaula como loco, pienso, por el valor de mi brazo, favoreciéndome el cielo, y no me siendo contraria la fortuna, en pocos días yerme rey de algún reino, adonde pueda mostrar el agradecimiento y liberalidad que mi pecho encierra; que mía fe, señor, el pobre está inhabilitado de poder mostrar la virtud de liberalidad con ninguno, aunque en sumo grado la posea; y el agradecimiento que sólo consiste en el deseo es cosa muerta, como es muerta la fe sin obras. Por esto querría que la fortuna me ofreciese presto alguna ocasión donde me hiciese emperador, por mostrar mi pecho haciendo bien a mis amigos, especialmente a este pobre de Sancho Panza, mi escudero, que es el mejor hombre del mundo, y querría darle un condado que le tengo muchos días ha prometido; sino que temo que no ha de tener habilidad para gobernar su estado.
+Casi estas últimas palabras oyó Sancho a su amo. a quien dijo:
+-Trabaje vuestra merced, señor don Quijote, en darme ese condado tan prometido de vuestra merced como de mi esperado; que yo le prometo que no me falte a mí habilidad para gobernarle; y cuando me faltare, yo he oído decir que hay hombres en el mundo que toman en arrendamiento los estados de los señores, y les dan un tanto cada año, y ellos se tienen cuidado del gobierno, y el señor se está a pierna tendida, gozando de la renta que le dan, sin curarse de otra cosa; y así haré yo, y no repararé en tanto más cuanto, sino que luego me desistiré de todo, y me gozaré mi renta como un duque, y allá se lo hayan.
+-Eso, hermano Sancho -dijo el canónigo-, entiéndase en cuanto al gozar la renta; empero al administrar justicia, ha de atender el señor del estado, y aquí entra la habilidad y buen juicio, y principalmente la buena intención de acertar; que si ésta falta en los principios, siempre irán errados los medios y los fines, y así suele Dios ayudar al buen deseo del simple como desfavorecer al malo del discreto.
+-No sé esas filosofías -respondió Sancho Panza-; mas sólo sé que tan presto tuviese yo el condado como sabría regirle; que tanta alma tengo yo como otro, y tanto cuerno como el que más, y tan rey seria yo de mi estado como cada uno del suyo; y siéndolo, haría lo que quisiese, y haciendo lo que quisiese, haría mi gusto; y haciendo mi gusto, estaría contento; y en estando uno contento, no tiene más que desear; y no teniendo más que desear, acabóse, y el estado venga, y a Dios y veámonos, como dijo un ciego a otro.
+-No son malas filosofías ésas, como tú dices, Sancho; pero, con todo eso, hay mucho que decir sobre esta materia de condados.
+A lo cual replicó don Quijote:
+-Yo no sé que haya más que decir; sólo me guío por el ejemplo que me da el grande Amadís de Gaula, que hizo a su escudero conde de la ínsula Firme; y así, puedo yo sin escrúpulo de conciencia hacer conde a Sancho Panza, que es uno de los mejores escuderos que caballero andante ha tenido.
+Admirado quedó el canónigo de los concertados disparates que don Quijote había dicho, del modo con que había pintado la aventura del Caballero del Lago, de la impresión que en él habían hecho las pensadas mentiras de los libros que había
+leído, y finalmente, le admiraba la necedad de Sancho, que con tanto ahínco deseaba alcanzar el condado que su amo le había prometido. Ya en esto volvían los criados del canónigo, que a la venta habían ido por la acémila del repuesto, y haciendo mesa de una alhombra y de la verde yerba del prado, a la sombra de unos árboles se sentaron, y comieron allí, porque el boyero no perdiese la comodidad de aquel sitio, como queda dicho. Y estando comiendo, a deshora oyeron un recio estruendo y un son de esquila, que por entre unas zarzas y espesas matas que allí junto estaban sonaba, y al mesmo instante vieron salir de entre aquellas malezas una hermosa cabra, toda la piel manchada de negro, blanco y pardo. Tras ella venia un cabrero dándole voces, y diciéndole palabras a su uso, para que se detuviese, o al rebaño volviese. La fugitiva cabra, temerosa y despavorida, se vino a la gente, como a favorecerse della, y allí se detuvo. Llegó el cabrero, y asiéndola de los cuernos, como si fuera capaz de discurso y entendimiento, le dijo:
+-¡Ah, cerrera, cerrera, Manchada, Manchada, y cómo andáis vos estos días de pie cojo! ¿Qué lobos os espantan, hija? ¿No me diréis qué es esto, hermosa? Mas ¡qué puede ser sino que sois hembra, y no podéis estar sosegada; que mal haya vuestra condición, y la de todas aquellas a quien imitáis! Volved, volved, amiga; que si no tan contenta, a lo menos estaréis más segura en vuestro aprisco, o con vuestras compañeras; que si vos que las habéis de guardar y encaminar andáis tan sin guía y tan descaminada, ¿en qué podrán parar ellas?
+Contento dieron las palabras del cabrero a los que las oyeron, especialmente al canónigo, que le dijo:
+-Por vida vuestra, hermano, que os soseguéis un poco, y no os acuciéis en volver tan presto esa cabra a su rebaño: que pues ella es hembra, como vos decís, ha de seguir su natural distinto, por más que vos os pongáis a estorbarlo. Tomad este bocado, y bebed una vez, con que templaréis la cólera, y en tanto, descansará la cabra.
+Y el decir esto y el darle con la punta del cuchillo los lomos de un conejo fiambre todo fue uno. Tomólo y agradeciólo el cabrero; bebió y sosegóse, y luego dijo:
+-No querría que por haber yo hablado con esta alimaña tan en seso, me tuviesen vuestras mercedes por hombre simple; que en verdad que no carecen de misterio las palabras que le dije. Rústico soy; pero no tanto, que no entienda cómo se ha de tratar con los hombres y con las bestias.
+-Eso creo yo muy bien -dijo el cura-; que ya yo sé de experiencia que los montes crían letrados, y las cabañas de los pastores encierran filósofos.
+-A lo menos, señor -replicó el cabrero-, acogen hombres escarmentados; y para que creáis esta verdad y la toquéis con la mano, aunque parezca que sin ser rogado me convido, si no os enfadáis dello y queréis, señores, un breve espacio prestarme oído atento, os contaré una verdad que acredite lo que ese señor -señalando al cura- ha dicho, y la mía.
+A esto respondió don Quijote:
+-Por ver que tiene este caso un no sé qué de sombra de aventura de caballería, yo, por mi parte, os oiré, hermano, de muy buena gana, y así lo harán todos estos señores, por lo mucho que tienen de discretos y de ser amigos de curiosas novedades que suspendan, alegren y entretengan los sentidos, como, sin duda,
+pienso que lo ha de hacer vuestro cuento. Comenzad, pues, amigo; que todos escucharemos.
+-Saco la mía -dijo Sancho-; que yo a aquel arroyo me voy con esta empanada, donde pienso hartarme por tres días; porque he oído decir a mi señor don Quijote que el escudero de caballero andante ha de comer cuando se le ofreciere, hasta no poder más, a causa que se les suele ofrecer entrar acaso por una selva tan intricada, que no aciertan a salir della en seis días; y si el hombre no va harto, o bien proveídas las alforjas, allí se podrá quedar, como muchas veces se queda, hecho carnemomia.
+-Tú estás en lo cierto, Sancho -dijo don Quijote-; vete adonde quisieres, y come lo que pudieres; que yo ya estoy satisfecho, y sólo me falta dar al alma su refacción, como se la daré escuchando el cuento deste buen hombre.
+-Así las daremos todos a las nuestras –dijo el canónigo.
+Y luego rogó al cabrero que diese principio a lo que prometido había. El cabrero dio dos palmadas sobre el lomo a la cabra, que por los cuernos tenía, diciéndole:
+-Recuéstate junto a mí, Manchada; que tiempo nos queda para volver a nuestro apero.
+Parece que lo entendió la cabra, porque en sentándose su dueño, se tendió ella junto a él con mucho sosiego, y mirándole al rostro daba a entender que estaba atenta a lo que el cabrero iba diciendo; el cual comenzó su historia desta manera:
+Capítulo 51: Que trata de lo que contó el cabrero a todos los que llevaban a don Quijote
+-Tres leguas deste valle está una aldea que, aunque pequeña, es de las más ricas que hay en todos estos contornos; en la cual había un labrador muy honrado, y tanto, que aunque es anexo al ser rico el ser honrado, más lo era él por la virtud que tenía que por la riqueza que alcanzaba. Mas lo que le hacía más dichoso, según él decía, era tener una hija de tan extremada hermosura, rara discreción, donaire y virtud, que el que la conocía y la miraba, se admiraba de ver las extremadas partes con que el cielo y la naturaleza la habían enriquecido. Siendo niña fue hermosa, y siempre fue creciendo en belleza, y en la edad de diez y seis años fue hermosísima. La fama de su belleza se comenzó a extender por todas las circunvecinas aldeas;
+¿qué digo yo por las circunvecinas no más, si se extendió a las apartadas ciudades, y aun se entró por las salas de los reyes, y por los oídos de todo género de gente, que como a cosa rara, o como a imagen de milagros, de todas partes a verla venían? Guardábala su padre, y guardábase ella; que no hay candados, guardas ni cerraduras que mejor guarden a una doncella que las del recato proprio.
+La riqueza del padre y la belleza de la hija movieron a muchos, así del pueblo como forasteros, a que por mujer se la pidiesen; mas él, como a quien tocaba disponer de tan rica joya, andaba confuso, sin saber determinarse a quién la entregaría de los infinitos que le importunaban. Y entre los muchos que tan buen deseo tenían, fui yo uno, a quien dieron muchas y grandes esperanzas de buen suceso conocer que el padre conocía quién yo era, el ser natural del mismo pueblo, limpio en sangre, en la edad floreciente, en la hacienda muy rico y en el ingenio no menos acabado.
+Con todas estas mismas partes la pidió también otro del mismo pueblo, que fue causa de suspender y poner en balanza la voluntad del padre, a quien parecía que con cualquiera de nosotros estaba su hija bien empleada; y, por salir desta confusión, determinó decírselo a Leandra, que así se llamaba la rica que en miseria me tiene puesto, advirtiendo que, pues los dos éramos iguales, era bien dejar a la voluntad de su querida hija el escoger a su gusto; cosa digna de imitar de todos los padres que a sus hijos quieren poner en estado. No digo yo que los dejen escoger en cosas ruines y malas, sino que se las propongan buenas, y de las buenas, que escojan a su gusto. No sé yo el que tuvo Leandra; sólo sé que el padre nos entretuvo a entrambos con la poca edad de su hija y con palabras generales, que ni le obligaban, ni nos desobligaban tampoco. Llámase mi competidor Anselmo, y yo Eugenio, porque vais con noticia de los nombres de las personas que en esta tragedia se contienen, cuyo fin aún está pendiente; pero bien se deja entender que ha de ser desastrado.
+En esta sazón vino a nuestro pueblo un Vicente de la Roca, hijo de un pobre labrador del mismo lugar; el cual Vicente venia de las Italias y de otras diversas partes, de ser soldado. Llevóle de nuestro lugar, siendo muchacho de hasta doce años, un capitán que con su compañía por allí acertó a pasar, y volvió el mozo de allí a otros doce, vestido a la soldadesca, pintado con mil colores, lleno de mil dijes de cristal y sutiles cadenas de acero. Hoy se ponía una gala y mañana otra; pero todas sutiles, pintadas, de poco peso y menos tomo. La gente labradora, que de suyo es maliciosa, y dándole el ocio lugar es la misma malicia, lo notó, y contó punto por punto sus galas y preseas, y halló que los vestidos eran tres, de diferentes colores, con sus ligas y medias; pero él hacia tantos guisados e invenciones dellos, que si no se los contaran, hubiera quien jurara que había hecho muestra de más de diez pares de vestidos y de más de veinte plumajes. Y no parezca impertinencia y demasía esto que de los vestidos voy contando, porque ellos hacen una buena parte en esta historia.
+Sentábase en un poyo que debajo de un gran álamo está en nuestra plaza, y allí nos tenía a todos la boca abierta, pendientes de las hazañas que nos iba contando. No había tierra en todo el orbe que no hubiese visto, ni batalla donde no se hubiese hallado; había muerto más moros que tiene Marruecos y Túñez, y entrado en más singulares desafíos, según él decía, que Gante y Luna, Diego García de Paredes y otros mil que nombraba; y de todos había salido con vitoria, sin que le hubiesen derramado una sola gota de sangre. Por otra parte, mostraba señales de heridas que, aunque no se divisaban, nos hacia entender que eran arcabuzazos dados en diferentes rencuentros y faciones. Finalmente, con una no vista arrogancia, llamaba de vos a sus iguales y a los mismos que le conocían, y decía que su padre era su brazo, su linaje sus obras, y que debajo de ser soldado, al mismo rey no debía nada. Añadiósele a estas arrogancias ser un poco músico y tocar una guitarra a lo
+rasgado, de manera que decían algunos que la hacia hablar; pero no pararon aquí sus gracias; que también la tenía de poeta, y así, de cada niñería que pasaba en el pueblo componía un romance de legua y media de escritura.
+Este soldado, pues, que aquí he pintado, este Vicente de la Roca, este bravo, este galán, este músico, este poeta fue visto y mirado muchas veces de Leandra, desde una ventana de su casa que tenía la vista a la plaza. Enamoróla el oropel de sus vistosos trajes; encantáronla sus romances, que de cada uno que componía daba veinte traslados; llegaron a sus oídos las hazañas que él de si mismo había referido, y, finalmente, que así el diablo lo debía tener ordenado, ella se vino a enamorar dél, antes que en él naciese presunción de solicitalla. Y como en los casos de amor no hay ninguno que con más facilidad se cumpla que aquel que tiene de su parte el deseo de la dama, con facilidad se concertaron Leandra y Vicente, y primero que alguno de sus muchos pretendientes cayese en la cuenta de su deseo, ya ella le tenía cumplido, habiendo dejado la casa de su querido y amado padre, que madre no la tiene, y ausentándose de la aldea con el soldado, que salió con más triunfo desta empresa que de todas las muchas que él se aplicaba. Admiró el suceso a toda la aldea, y aun a todos los que dél noticia tuvieron; yo quedé suspenso, Anselmo atónito, el padre triste, sus parientes afrentados, solícita la justicia, los cuadrilleros listos; tomáronse los caminos, escudriñáronse los bosques y cuanto había, y al cabo de tres días hallaron a la antojadiza Leandra en una cueva de un monte, desnuda en camisa, sin muchos dineros y preciosísimas joyas que de su casa había sacado. Volviéronla a la presencia del lastimado padre; preguntáronle su desgracia; confesó sin apremio que Vicente de la Roca la había engañado, y debajo de su palabra de ser su esposo la persuadió que dejase la casa de su padre; que él la llevaría a la más rica y más viciosa ciudad que había en todo el universo mundo, que era Nápoles; y que ella, mal advertida y peor engañada, le había creído; y, robando a su padre, se le entregó la misma noche que había faltado; y que él la llevó a un áspero monte, y la encerró en aquella cueva donde la habían hallado. Contó también cómo el soldado, sin quitalle su honor, le robó cuanto tenía, y la dejó en aquella cueva, y se fue: suceso que de nuevo puso en admiración a todos. Duro se nos hizo de creer la continencia del mozo; pero ella lo afirmó con tantas veras, que fueron parte para que el desconsolado padre se consolase, no haciendo cuenta de las riquezas que le llevaban, pues le habían dejado a su hija con la joya que, si una vez se pierde, no deja esperanza de que jamás se cobre. El mismo día que pareció Leandra la desapareció su padre de nuestros ojos, y la llevó a encerrar en un monesterio de una villa que está aquí cerca, esperando que el tiempo gaste alguna parte de la mala opinión en que su hija se puso. Los pocos años de Leandra sirvieron de disculpa de su culpa, a lo menos con aquellos que no les iba algún interés en que ella fuese mala o buena; pero los que conocían su discreción y mucho entendimiento no atribuyeron a ignorancia su pecado, sino a su desenvoltura y a la natural inclinación de las mujeres, que, por la mayor parte, suele ser desatinada y mal compuesta.
+Encerrada Leandra, quedaron los ojos de Anselmo ciegos, a lo menos sin tener cosa que mirar que contento le diese; los míos en tinieblas, sin luz que a ninguna cosa de gusto les encaminase; con la ausencia de Leandra crecía nuestra tristeza, apocábase nuestra paciencia, maldecíamos las galas del soldado y abominábamos del poco recato del padre de Leandra. Finalmente, Anselmo y yo nos concertamos de dejar el aldea y venirnos a este valle, donde él apacentando una gran cantidad de ovejas suyas proprias, y yo un numeroso rebaño de cabras, también mías, pasamos la vida entre los árboles, dando vado a nuestras pasiones, o cantando juntos alabanzas o vituperios de la hermosa Leandra, o suspirando solos y a solas comunicando con el cielo nuestras querellas. A imitación nuestra, otros muchos de los pretendientes de Leandra se han venido a estos ásperos montes usando el mismo ejercicio nuestro; y son tantos, que parece que este sitio se ha convertido en la pastoral Arcadia, según está colmo de pastores y de apriscos, y no hay parte
+en él donde no se oiga el nombre de la hermosa Leandra. Esta la maldice y la llama antojadiza, varia y deshonesta; aquél la condena por fácil y ligera; tal la absuelve y perdona, y tal la justicia y vitupera; uno celebra su hermosura, otro reniega de su condición, y, en fin, todos la deshonran, y todos la adoran, y de todos se extiende a tanto la locura, que hay quien se queje de desdén sin haberla jamás hablado, y aun quien se lamente y sienta la rabiosa enfermedad de los celos, que ella jamás dio a nadie, porque, como ya tengo dicho, antes se supo su pecado que su deseo. No hay hueco de peña, ni margen de arroyo, ni sombra de árbol que no esté ocupada de algún pastor que sus desventuras a los aires cuente: el eco repite el nombre de Leandra dondequiera que pueda formarse; Leandra resuenan los montes, Leandra murmuran los arroyos, y Leandra nos tiene a todos suspensos y encantados, esperando sin esperanza y temiendo sin saber de qué tememos. Entre estos disparatados, el que muestra que menos y más juicio tiene es mi competidor Anselmo, el cual, teniendo tantas otras cosas de que quejarse, sólo se queja de ausencia; y al son de un rabel, que admirablemente toca, con versos donde muestra su buen entendimiento, cantando se queja. Yo sigo otro camino más fácil, y a mi parecer el más acertado, que es decir mal de la ligereza de las mujeres, de su inconstancia, de su doble trato, de sus promesas muertas, de su fe rompida, y, finalmente, del poco discurso que tienen en saber colocar sus pensamientos e intenciones. Y ésta fue la ocasión, señores, de las palabras y razones que dije a esta cabra cuando aquí llegué; que por ser hembra la tengo en poco, aunque es la mejor de todo mi apero. Esta es la historia que prometí contaros. Si he sido en el contarla prolijo, no seré en serviros corto; cerca de aquí tengo mi majada, y en ella tengo fresca leche y muy sabrosísimo queso, con otras varias y sazonadas frutas, no menos a la vista que al gusto agradables.
+Capítulo 52: De la pendencia que don Quijote tuvo con el cabrero, con la rara aventura de los deceplinantes, a quien dio felice fin a costa de su sudor
+General gusto causó el cuento del cabrero a todos los que escuchado le habían; especialmente le recibió el canónigo, que con extraña curiosidad notó la manera con que le había contado, tan lejos de parecer rústico cabrero cuan cerca de mostrarse discreto cortesano; y así, dijo que había dicho muy bien el cura en decir que los montes criaban letrados. Todos se ofrecieron a Eugenio; pero el que más se mostró liberal en esto fue don Quijote, que le dijo:
+-Por cierto, hermano cabrero, que si yo me hallara posibilitado de poder comenzar alguna aventura, que luego luego me pusiera en camino porque vos la tuviérades buena; que yo sacara del monesterio, donde, sin duda alguna, debe de estar contra su voluntad, a Leandra, a pesar de la abadesa y de cuantos quisieran estorbarlo, y os la pusiera en vuestras manos, para que hiciérades della a toda vuestra voluntad y talante, guardando, pero, las leyes de la caballería, que mandan que a ninguna doncella se le sea fecho desaguisado alguno; aunque yo espero en Dios nuestro Señor que no ha de poder tanto la fuerza de un encantador malicioso, que no pueda más la de otro encantador mejor intencionado, y para entonces os prometo mi favor y ayuda, como me obliga mi profesión, que no es otra si no es favorecer a los desvalidos y menesterosos.
+Miróle el cabrero, y como vio a don Quijote de tan mal pelaje y catadura, admiróse, y preguntó al barbero, que cerca de sí tenía:
+-Señor, ¿quién es este hombre, que tal talle tiene y de tal manera habla?
+-¿Quién ha de ser -respondió el barbero- sino el famoso don Quijote de la Mancha. desfacedor de agravios, enderezador de entuertos, el amparo de las doncellas, el asombro de los gigantes y el vencedor de las batallas?
+-Eso me semeja -respondió el cabrero- a lo que se lee en los libros de caballeros andantes, que hacían todo eso que de este hombre vuestra merced dice; puesto que para mi tengo, o que vuestra merced se burla, o que este gentilhombre debe de tener vacíos los aposentos de la cabeza.
+-Sois un grandísimo bellaco -dijo a esta sazón don Quijote-, y vos sois el vacío y el menguado; que yo estoy más lleno que jamás lo estuvo la muy hideputa puta que os parió.
+Y diciendo y haciendo, arrebató de un pan que junto a si tenía, y dio con él al cabrero en todo el rostro, con tanta furia, que la remachó las narices; mas el cabrero, que no sabía de burlas, viendo con cuántas veras le maltrataban, sin tener respeto a la alhombra, ni a los manteles, ni a todos aquellos que comiendo estaban, saltó sobre don Quijote y, asiéndole del cuello con entrambas manos, no dudara de ahogalle, si Sancho Panza no llegara en aquel punto, y le asiera por las espaldas, y diera con él encima de la mesa, quebrando platos, rompiendo tazas y derramando y esparciendo cuanto en ella estaba. Don Quijote, que se vio libre, acudió a subirse sobre el cabrero; el cual, lleno de sangre el rostro, molido a coces de Sancho, andaba buscando a gatas algún cuchillo de la mesa para hacer alguna sanguinolenta venganza; pero estorbábanselo el canónigo y el cura; mas el barbero hizo de suerte, que el cabrero cogió debajo de sí a don Quijote, sobre el cual llovió tanto número de mojicones, que del rostro del pobre caballero llovía tanta sangre como del suyo.
+Reventaban de risa el canónigo y el cura, saltaban los cuadrilleros de gozo, zuzaban los unos y los otros, como hacen a los perros cuando en pendencia están trabados; sólo Sancho Panza se desesperaba, porque no se podía desasir de un criado del canónigo, que le estorbaba que a su amo no ayudase.
+En resolución, estando todos en regocijo y fiesta, sino los dos aporreantes que se carpían, oyeron el son de una trompeta, tan triste, que les hizo volver los rostros hacia donde les pareció que sonaba; pero el que más se alborotó de oírle fue don Quijote, el cual, aunque estaba debajo del cabrero, harto contra su voluntad y más que medianamente molido, le dijo:
+-Hermano demonio, que no es posible que dejes de serlo, pues has tenido valor y fuerzas para sujetar las mías, ruégote que hagamos treguas, no más de por una hora; porque el doloroso son de aquella trompeta que a nuestros oídos llega me parece que a alguna nueva aventura me llama.
+El cabrero, que ya estaba cansado de moler y ser molido, le dejó luego, y don Quijote se puso en pie, volviendo asimismo el rostro adonde el son se oía, y vio a deshora que por un recuesto bajaban muchos hombres vestidos de blanco, a modo de diciplinantes.
+Era el caso que aquel año habían las nubes negado su rocío a la tierra, y por todos los lugares de aquella comarca se hacían procesiones, rogativas y diciplinas, pidiendo a Dios abriese las manos de su misericordia y les lloviese; y para este efecto la gente de una aldea que allí junto estaba venia en procesión a una devota ermita que en un recuesto de aquel valle había.
+Don Quijote, que vio los extraños trajes de los diciplinantes, sin pasarle por la memoria las muchas veces que los había de haber visto, se imaginó que era cosa de aventura, y que a él solo tocaba, como a caballero andante, el acometerla; y confirmóle más esta imaginación pensar que una imagen que traían cubierta de luto fuese alguna principal señora que llevaban por fuerza aquellos follones y descomedidos malandrines; y como esto le cayó en las mientes, con gran ligereza arremetió a Rocinante, que paciendo andaba, quitándole del arzón el freno y el adarga, y en un punto le enfrenó; y pidiendo a Sancho su espada, subió sobre Rocinante y embrazó su adarga, y dijo en alta voz a todos los que presentes estaban:
+-Agora, valerosa compañía, veredes cuánto importa que haya en el mundo caballeros que profesen la orden de la andante caballería; agora digo que veredes, en la libertad de aquella buena señora que allí va cautiva, si se han de estimar los caballeros andantes.
+Y en diciendo esto, apretó los muslos a Rocinante, porque espuelas no las tenía, y a todo galope, porque carrera tirada no se lee en toda esta verdadera historia que jamás la diese Rocinante, se fue a encontrar con los diciplinantes, bien que fueron el cura y el canónigo y barbero a detenelle; mas no les fue posible, ni menos le detuvieron las voces que Sancho le daba, diciendo:
+-¿Adónde va, señor don Quijote? ¿Qué demonios lleva en el pecho, que le incitan a ir contra nuestra fe católica? Advierta, mal haya yo, que aquella es procesión de diciplinantes, y que aquella señora que llevan sobre la peana es la imagen benditísima de la Virgen sin mancilla; mire, señor, lo que hace; que por esta vez se puede decir que no es lo que sabe.
+Fatigóse en vano Sancho; porque su amo iba tan puesto en llegar a los ensabanados y en librar a la señora enlutada, que no oyó palabra; y aunque la oyera, no volviera, si el rey se lo mandara. Llegó, pues, a la procesión, y paró a Rocinante, que ya llevaba deseo de quietarse un poco, y con turbada y ronca voz, dijo:
+-Vosotros, que, quizá por no ser buenos, os encubrís los rostros, atended y escuchad lo que deciros quiero.
+Los primeros que se detuvieron fueron los que la imagen llevaban; y uno de los cuatro clérigos que cantaban las ledanías, viendo la extraña catadura de don
+Quijote, la flaqueza de Rocinante y otras circunstancias de risa que notó y descubrió en don Quijote, le respondió diciendo:
+-Señor hermano, si nos quiere decir algo, dígalo presto, porque se van estos hermanos abriendo las carnes, y no podemos, ni es razón que nos detengamos a oír cosa alguna, si ya no es tan breve, que en dos palabras se diga.
+-En una lo diré -replicó don Quijote-, y es ésta: que luego al punto dejéis libre a esa hermosa señora, cuyas lágrimas y triste semblante dan claras muestras que la lleváis contra su voluntad y que algún notorio desaguisado le habedes fecho; y yo, que nací en el mundo para desfacer semejantes agravios, no consentiré que un solo paso adelante pase sin darle la deseada libertad que merece.
+En estas razones, cayeron todos los que las oyeron que don Quijote debía de ser algún hombre loco, y tomáronse a reír muy de gana; cuya risa fue poner pólvora a la cólera de don Quijote, porque, sin decir más palabra, sacando la espada, arremetió a las andas. Uno de aquellos que las llevaban, dejando la carga a sus compañeros, salió al encuentro de don Quijote, enarbolando una horquilla o bastón con que sustentaba las andas en tanto que descansaba; y recibiendo en ella una gran cuchillada que le tiró don Quijote, con que se la hizo dos partes, con el último tercio, que le quedó en la mano, dio tal golpe a don Quijote encima de un hombro, por el mismo lado de la espada, que no pudo cubrir el adarga contra villana fuerza, que el pobre don Quijote vino al suelo muy mal parado.
+Sancho Panza, que jadeando le iba a los alcances, viéndole caído dio voces a su moledor que no le diese otro palo, porque era un pobre caballero encantado, que no había hecho mal a nadie en todos los días de su vida. Mas lo que detuvo al villano no fueron las voces de Sancho, sino el ver que don Quijote no bullía pie ni mano; y así, creyendo que le había muerto, con priesa se alzó la túnica a la cinta, y dio a huir por la campaña como un gamo.
+Ya en esto llegaron todos los de la compañía de don Quijote adonde él estaba; mas los de la procesión, que los vieron venir corriendo, y con ellos los cuadrilleros con sus ballestas, temieron algún mal suceso, y hiciéronse todos un remolino alrededor de la imagen; y alzados los capirotes, empuñando las diciplinas, y los clérigos los ciriales, esperaban el asalto con determinación de defenderse, y aun ofender, si pudiesen, a sus acometedores; pero la fortuna lo hizo mejor que se pensaba, porque Sancho no hizo otra cosa que arrojarse sobre el cuerpo de su señor, haciendo sobre él el más doloroso y risueño llanto del mundo, creyendo que estaba muerto.
+El cura fue conocido de otro cura que en la procesión venía; cuyo conocimiento puso en sosiego el concebido temor de los dos escuadrones. El primer cura dio al segundo, en dos razones, cuenta de quién era don Quijote, y así él como toda la turba de los diciplinantes fueron a ver si estaba muerto el pobre caballero, y oyeron que Sancho Panza, con lágrimas en los ojos decía:
+-¡Oh flor de la caballería, que con sólo un garrotazo acabaste la carrera de tus tan bien gastados años! ¡Oh honra de tu linaje, honor y gloria de toda la Mancha, y aun de todo el mundo, el cual, faltando tú en él, quedará lleno de malhechores, sin temor de ser castigados de sus malas fechorías! ¡Oh liberal sobre todos los Alejandros, pues por solos ocho meses de servicio me tenias dada la mejor ínsula que el mar ciñe y rodea! ¡Oh humilde con los soberbios y arrogante con los humildes, acometedor de peligros, sufridor de afrentas, enamorado sin causa, imitador de los buenos, azote de los malos, enemigo de los ruines, en fin, caballero andante, que es todo lo que decir se puede!
+Con las voces y gemidos de Sancho revivió don Quijote, y la primer palabra que dijo fue:
+-El que de vos vive ausente, dulcísima Dulcinea, a mayores miserias que éstas está sujeto. Ayúdame, Sancho amigo, a ponerme sobre el carro encantado; que ya no estoy para oprimir la silla de Rocinante, porque tengo todo este hombro hecho pedazos.
+-Eso haré yo de muy buena gana, señor mío -respondió Sancho-, y volvamos a mi aldea, en compañía destos señores que su bien desean, y allí daremos orden de hacer otra salida que nos sea de más provecho y fama.
+-Bien dices, Sancho -respondió don Quijote-, y será gran prudencia dejar pasar el mal influjo de las estrellas que agora corre.
+El canónigo y el cura y barbero le dijeron que haría muy bien en hacer lo que decía; y así, habiendo recebido grande gusto de las simplicidades de Sancho Panza, pusieron a don Quijote en el carro, como antes venia. La procesión volvió a ordenarse y a proseguir su camino; el cabrero se despidió de todos; los cuadrilleros no quisieron pasar adelante, y el cura les pagó lo que se les debía. El canónigo pidió al cura le avisase el suceso de don Quijote, si sanaba de su locura, o si proseguía en ella, y con esto, tomó licencia para seguir su viaje. En fin, todos se dividieron y apartaron, quedando solos el cura y barbero, don Quijote y Panza y el bueno de Rocinante, que a todo lo que había visto estaba con tanta paciencia como su amo.
+El boyero unció sus bueyes y acomodó a don Quijote sobre un haz de heno, y con su acostumbrada flema siguió el camino que el cura quiso, y a cabo de seis días llegaron a la aldea de don Quijote, adonde entraron en la mitad del día, que acertó a ser domingo, y la gente estaba toda en la plaza, por mitad de la cual atravesó el carro de don Quijote. Acudieron todos a ver lo que en el carro venia, y cuando conocieron a su compatrioto, quedaron maravillados, y un muchacho acudió corriendo a dar las nuevas a su ama y a su sobrina de que su tío y su señor venia flaco y amarillo, y tendido sobre un montón de heno y sobre un carro de bueyes. Cosa de lástima fue oír los gritos que las dos buenas señoras alzaron, las bofetadas que se dieron, las maldiciones que de nuevo echaron a los malditos libros de caballerías, todo lo cual se renovó cuando vieron entrar a don Quijote por sus puertas.
+A las nuevas desta venida de don Quijote, acudió la mujer de Sancho Panza, que ya había sabido que había ido con él sirviéndole de escudero, y así como vio a Sancho, lo primero que le preguntó fue que si venia bueno el asno. Sancho respondió que venia mejor que su amo.
+-Gracias sean dadas a Dios -replicó ella-, que tanto bien me ha hecho; pero contadme agora, amigo: ¿Qué bien habéis sacado de vuestras escuderías? ¿Qué saboyana me traéis a mi? ¿Qué zapaticos a vuestros hijos?
+-No traigo nada deso -dijo Sancho-, mujer mía, aunque traigo otras cosas de más momento y consideración.
+-Deso recibo yo mucho gusto –respondió la mujer-: mostradme esas cosas de más consideración y más momento, amigo mío; que las quiero ver, para que se me alegre este corazón, que tan triste y descontento ha estado en todos los siglos de vuestra ausencia.
+-En casa os las mostraré, mujer -dijo Panza , y por agora estad contenta; que siendo Dios servido de que otra vez salgamos en viaje a buscar aventuras, vos me veréis presto conde, o gobernador de una ínsula, y no de las de por ahí, sino la mejor que pueda hallarse.
+-Quiéralo así el cielo, marido mío; que bien lo habemos menester. Mas decidme: ¿qué es eso de ínsulas, que no lo entiendo?
+-No es la miel para la boca del asno -respondió Sancho-; a su tiempo lo verás, mujer, y aun te admirarás de oírte llamar señoría de todos tus vasallos.
+-¿Qué es lo que decís, Sancho, de señorías, ínsulas y vasallos? -respondió Juana Panza, que así se llamaba la mujer de Sancho, aunque no eran parientes, sino porque se usa en la Mancha tomar las mujeres el apellido de sus maridos.
+-No te acucies, Juana, por saber todo esto tan apriesa; basta que te digo verdad, y cose la boca. Sólo te sabré decir, así de paso, que no hay cosa más gustosa en el mundo que ser un hombre honrado escudero de un caballero andante buscador de aventuras. Bien es verdad que las más que se hallan no salen tan a gusto como el hombre querría, porque de ciento que se encuentran, las noventa y nueve suelen salir aviesas y torcidas. Sélo yo de experiencia, porque de algunas he salido manteado, y de otras molido; pero, con todo eso, es linda cosa esperar los sucesos atravesando montes, escudriñando selvas, pisando peñas, visitando castillos, alojando en ventas a toda discreción, sin pagar ofrecido sea al diablo el maravedí.
+Todas estas pláticas pasaron entre Sancho Panza y Juana Panza, su mujer, en tanto que el ama y sobrina de don Quijote le recibieron, y le desnudaron, y le tendieron en su antiguo lecho. Mirábalas él con ojos atravesados, y no acababa de entender en qué parte estaba. El cura encargó a la sobrina tuviese gran cuenta con regalar a su tío, y que estuviesen alerta de que otra vez no se les escapase, contando lo que había sido menester para traelle a su casa. Aquí alzaron las dos de nuevo los gritos al cielo; allí se renovaron las maldiciones de los libros de caballerías; allí pidieron al cielo que confundiese en el centro del abismo a los autores de tantas mentiras y disparates. Finalmente, ellas quedaron confusas, y temerosas de que se habían de ver sin su amo y tío en el mesmo punto que tuviese alguna mejoría, y así fue como ellas se lo imaginaron.
+Pero el autor desta historia, puesto que con curiosidad y diligencia ha buscado los hechos que don Quijote hizo en su tercera salida, no ha podido hallar noticia de ellos, a lo menos, por escrituras auténticas; sólo la fama ha guardado, en las memorias de la Mancha, que don Quijote la tercera vez que salió de su casa fue a Zaragoza, donde se halló en unas famosas justas que en aquella ciudad hicieron, y allí le pasaron cosas dignas de su valor y buen entendimiento. Ni de su fin y acabamiento pudo alcanzar cosa alguna, ni la alcanzara ni supiera si la buena suerte no le deparara un antiguo médico que tenía en su poder una caja de plomo, que, según él dijo, se había hallado en los cimientos derribados de una antigua ermita que se renovaba; en la cual caja se habían hallado unos pergaminos escritos con letras góticas, pero en versos castellanos, que contenían muchas de sus hazañas y daban noticia de la hermosura de Dulcinea del Toboso, de la figura de Rocinante, de la fidelidad de Sancho Panza, y de la sepultura del mesmo don Quijote, con diferentes epitafios y elogios de su vida y costumbres.
+Y los que se pudieron leer y sacar en limpio fueron los que aquí pone el fidedigno autor desta nueva y jamás vista historia. El cual autor no pide a los que la leyeren, en premio del inmenso trabajo que le costó inquirir y buscar todos los archivos manchegos, por sacarla a luz, sino que le den el mesmo crédito que suelen dar los
+discretos a los libros de caballerías, que tan validos andan en el mundo; que con esto se tendrá por bien pagado y satisfecho, y se animará a sacar y buscar otras, si no tan verdaderas, a lo menos, de tanta invención y pasatiempo.
+Las palabras primeras que estaban escritas en el pergamino que se halló en la caja de plomo eran éstas:
+LOS ACADÉMICOS DE LA ARGAMASILLA, LUGAR DE LA MANCHA, EN VIDA Y MUERTE DEL VALEROSO DON QUIJOTE DE LA MANCHA,
+HOC SCRIPSERUNT
+EL MONICONGO, ACADÉMICO DE LA ARGAMASILLA A LA SEPULTURA DE DON QUIJOTE
+Epitafio
+El calvatrueno que adornó a la Mancha
+de más despojos que Jasón de Creta,
+el juicio que tuvo la veleta
+aguda donde fuera mejor ancha,
+el brazo que su fuerza tanto ensancha,
+que llegó del Catay hasta Gaeta,
+la musa más horrenda y más discreta
+que grabó versos en broncínea plancha,
+el que a cola dejó los Amadises,
+y en muy poquito a Galaores tuvo,
+estribando en su amor y bizarría,
+el que hizo callar los Belianises.
+aquel que en Rocinante errando anduvo,
+yace debajo desta losa fría.
+DEL PANIAGUADO, ACADÉMICO DE LA ARGAMASILLA, IN LAUDEM DULCINEAE DEL TOBOSO
+Soneto
+Esta que veis de rostro amondongado,
+alta de pechos y ademán brioso,
+es Dulcinea, reina del Toboso,
+de quien fue el gran Quijote aficionado.
+Pisó por ella el uno y otro lado
+de la gran Sierra Negra, y el famoso
+campo de Montiel, hasta el herboso
+llano de Aranjuez, a pie y cansado.
+Culpa de Rocinante. ¡Oh dura estrella!,
+que esta manchega dama, y este invito
+andante caballero, en tiernos años,
+ella dejó, muriendo, de ser bella:
+y él, aunque queda en mármoles escrito,
+no pudo huir, de amor, iras y engaños.
+DEL CAPRICHOSO, DISCRETISIMO ACADÉMICO DE LA ARGAMASILLA, EN LOOR DE ROCINANTE, CABALLO DE DON QUIJOTE DE LA MANCHA
+Soneto
+En el soberbio trono diamantino
+que con sangrientas plantas huella Marte, frenético el Manchego su estandarte tremola con esfuerzo peregrino.
+Cuelga las armas y el acero fino
+con que destroza, asuela, raja y parte: ¡nuevas proezas!, pero inventa el arte
+un nuevo estilo al nuevo paladino.
+Y si de su Amadís se precia Gaula,
+por cuyos bravos descendientes Grecia triunfo mil veces y su fama ensancha,
+Hoy a Quijote le corona el aula
+do Belona preside, y dél se precia,
+más que Grecia ni Gaula, la alta Mancha.
+Nunca sus glorias el olvido mancha,
+pues hasta Rocinante, en ser gallardo,
+excede a Brilladoro y a Bayardo.
+DEL BURLADOR, ACADÉMICO ARGAMASILLESCO, A SANCHO PANZA
+Soneto
+Sancho Panza es aquéste, en cuerpo chico
+pero grande en valor, ¡milagro extraño!
+Escudero el más simple y sin engaño
+que tuvo el mundo, os juro y certifico.
+De ser conde no estuvo en un tantico,
+si no se conjuraran en su daño
+insolencias y agravios del tacaño
+siglo, que aun no perdonan a un borrico.
+Sobre él anduvo (con perdón se miente)
+este manso escudero, tras el manso
+caballo Rocinante y tras su dueño.
+¡Oh vanas esperanzas de la gente!
+¡Cómo pasáis con prometer descanso,
+y al fin paráis en sombra, en humo, en sueño
+DEL CACHIDIABLO, ACADÉMICO DE LA ARGAMASILLA, EN LA SEPULTURA DE DON QUIJOTE
+Epitafio
+Aquí yace el caballero bien molido y mal andante
+a quien llevó Rocinante por uno y otro sendero. Sancho Panza el majadero yace también junto a él, escudero el más fiel
+que vio el trato de escudero.
+DEL TIQUITOC, ACADÉMICO DE LA ARGAMASILLA, EN LA SEPULTURA DE DULCINEA DEL TOBOSO
+Epitafio
+Reposa aquí Dulcinea;
+y, aunque de carnes rolliza, la volvió en polvo y ceniza la muerte espantable y fea. Fue de castiza ralea,
+y tuvo asomos de dama; del gran Quijote fue llama, y fue gloria de su aldea.
+Estos fueron los versos que se pudieron leer; los demás, por estar carcomida la letra, se entregaron a un académico para que por conjeturas los declarase. Tiénese noticia que lo ha hecho, a costa de muchas vigilias y mucho trabajo, y que tiene intención de sacallos a luz, con esperanza de la tercera salida de don Quijote.
+Forse altri canterà con miglior plettro. FINIS
diff --git a/PROFESORES/KAFKA/src/main/python/exercise5/producer.py b/PROFESORES/KAFKA/src/main/python/exercise5/producer.py
new file mode 100644
index 000000000..dd3be7cef
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise5/producer.py
@@ -0,0 +1,37 @@
+import time
+from json import dumps
+from confluent_kafka import Producer
+import re
+
+# Configuración del productor
+config = {
+    'bootstrap.servers': 'localhost:9092',  # Cambia esto con la dirección de tu servidor Kafka
+    'client.id': 'python-producer'
+}
+
+# Crear un productor
+producer = Producer(config)
+
+
+topic_kafka = 'palabras'
+
+file1 = open('exercise5/el_quijote_book.txt',encoding="utf8")
+Lines = file1.readlines()
+ 
+count = 0
+# Strips the newline character
+for line in Lines:
+    time.sleep(2)
+    print( line.strip() + "\n")
+    words = re.findall(r"[\w']+|[.,!?;]", line)
+    for word in words:
+        data_bytes = word  # Encode string to bytes
+        key = str(count)
+        producer.produce(topic=topic_kafka, value=data_bytes, key=key)  # Send bytes
+        # After your loop where you send messages:
+        producer.flush()
+      
+
+# Optionally, you can check if there are any messages that failed to be delivered:
+if producer.flush() != 0:
+    print("Some messages failed to be delivered")
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise6/README.md b/PROFESORES/KAFKA/src/main/python/exercise6/README.md
new file mode 100644
index 000000000..11e06e9a1
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise6/README.md
@@ -0,0 +1,86 @@
+# Exercise 6: Kafka Connect
+
+## Objectives
+
+1) Use Postgresql as a source of data. So when you do an INSERT row into Posgresql, the new row is automatically 
+sent and save into a Kafka topic, for its processing.
+
+## Run Kafka in your computer with Docker
+Simple scenario: 1 zookeeper + 1 Kafka broker.
+
+Start the ZooKeeper and Kafka container.
+
+```sh
+$ docker-compose up -d
+```
+
+Status:
+
+```sh
+$ docker-compose ps
+      Name                  Command            State                     Ports
+-------------------------------------------------------------------------------------------------
+lab1_kafka_1       /etc/confluent/docker/run   Up      0.0.0.0:9092->9092/tcp
+lab1_zookeeper_1   /etc/confluent/docker/run   Up      0.0.0.0:2181->2181/tcp, 2888/tcp, 3888/tcp
+```
+
+## Set up the Docker Connect image
+
+### Create a Postgresql database and table
+Follow instruction at https://github.com/a10pepo/postgressetup to just create a new server with the a postgresql database.
+Then create a new table named after "aeroplane". It must have an "id" int sequencer column and a "name" varchar column.
+```sql
+CREATE TABLE public.aeroplane
+(
+id bigint NOT NULL,
+name character varying COLLATE pg_catalog."default",
+CONSTRAINT aeroplane_pkey PRIMARY KEY (id)
+)
+````
+
+### Install nano editor
+From below command, change 5e1fee5e...by your Docker Coonect id process. You can find it with docker ps or with the Docker UI:
+docker exec -u 0 -it 5e1fee5e286e9f75759780df8b35faa0b57cf0d7dd348a586b6768a1c0174999 bash
+yum install nano
+exit
+![img_1.png](images/img_1.png)
+
+### Install and configure the JDBC Kafka connector to connect to postgresql (it could be also used to connnect to MySql or Oracle databases)
+Perform below instructions inside your Docker Connect instance
+![img_2.png](images/img_2.png)
+
+confluent-hub install confluentinc/kafka-connect-jdbc:10.7.4
+![img.png](images/img.png)
+
+
+nano   /etc/schema-registry/connect-avro-distributed.properties
+Add /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/ as value of the key "plugin.path". Use the 
+separator ",".
+When edited , type Control-X(in windows) or Command-X(in Mac) to save it.
+![img_3.png](images/img_3.png)
+
+
+Restart docker container
+
+Then upload the file postgresqlSourceConnectConfig.json
+
+![img_4.png](images/img_4.png)
+
+And Launch it:
+![img_5.png](images/img_5.png)
+
+Check it is running OK:
+![img_6.png](images/img_6.png)
+
+
+Insert a new row into the database:
+```sql
+insert into aeroplane (id, name) values (0,'airbus 320');
+```
+
+![img_8.png](images/img_8.png)
+
+Check the topic has been created and a new message inserted:
+![img_7.png](images/img_7.png)
+
+   
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise6/docker-compose.yml b/PROFESORES/KAFKA/src/main/python/exercise6/docker-compose.yml
new file mode 100644
index 000000000..62ef4b4a0
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise6/docker-compose.yml
@@ -0,0 +1,63 @@
+---
+version: '3.5'
+services:
+  zookeeper:
+    image: confluentinc/cp-zookeeper:latest
+    environment:
+      ZOOKEEPER_CLIENT_PORT: 2181
+      ZOOKEEPER_TICK_TIME: 2000
+    ports:
+      - 2181:2181
+
+  kafka: 
+    image: confluentinc/cp-kafka:7.3.3
+    depends_on:
+      - zookeeper
+    ports:
+      - 9092:9092
+    environment:
+      KAFKA_BROKER_ID: 1
+      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
+      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
+      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
+      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
+      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
+
+  ksql-server:
+    image: confluentinc/cp-ksql-server:latest
+    depends_on:
+      - kafka
+    ports:
+      - 8088:8088
+    environment:
+      KSQL_BOOTSTRAP_SERVERS: kafka:29092
+      KSQL_LISTENERS: http://0.0.0.0:8088
+
+  ksql-cli:
+    image: confluentinc/cp-ksql-cli:latest
+    depends_on:
+      - ksql-server
+    entrypoint: /bin/sh
+    tty: true
+
+  control-center:
+    image: confluentinc/cp-enterprise-control-center:7.3.3
+    hostname: control-center
+    container_name: control-center
+    depends_on:
+      - kafka
+      - ksql-server
+    ports:
+      - "9021:9021"
+    environment:
+      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'kafka:29092'
+      CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'kafka-connect:8083'
+      CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksql-server:8088"
+      CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
+      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
+      CONTROL_CENTER_REPLICATION_FACTOR: 1
+      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
+      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
+      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
+      CONTROL_CENTER_CONNECT_HEALTHCHECK_ENDPOINT: '/connectors'
+      PORT: 9021
\ No newline at end of file
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diff --git a/PROFESORES/KAFKA/src/main/python/exercise6/postgresqlSourceConnectConfig.json b/PROFESORES/KAFKA/src/main/python/exercise6/postgresqlSourceConnectConfig.json
new file mode 100644
index 000000000..34e07b442
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise6/postgresqlSourceConnectConfig.json
@@ -0,0 +1,15 @@
+{
+  "name": "sourcePostgresql",
+  "config":{
+    "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
+    "task.max": "1",
+    "connection.url": "jdbc:postgresql://postgres:5432/postgres",
+    "connection.user": "postgres",
+    "connection.password": "Welcome01",
+    "topic.prefix": "xflight",
+    "validate.none.null": "false",
+    "mode": "incrementing",
+    "incrementing.column.name": "id",
+    "table.whitelist": "aeroplane"
+  }
+}
\ No newline at end of file
diff --git a/PROFESORES/KAFKA/src/main/python/exercise7/README.md b/PROFESORES/KAFKA/src/main/python/exercise7/README.md
new file mode 100644
index 000000000..3d87a200e
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise7/README.md
@@ -0,0 +1,53 @@
+# Ejercicios Prácticos con Kafka: Producer y Consumer
+
+Este repositorio contiene ejercicios prácticos para trabajar con **Kafka Producer** y **Kafka Consumer** utilizando un JSON con datos de transferencias bancarias. Todos los ejercicios se realizan exclusivamente por consola, sin necesidad de bases de datos.
+
+## Ejercicios
+
+### 1. Ejercicio de Producción de Datos
+
+- **Objetivo**: Configurar un productor de Kafka que lea el JSON de transferencias bancarias y lo envíe como mensajes a un tópico de Kafka.
+- **Acción**: El productor envía cada transferencia como un mensaje JSON al tópico y muestra por consola cada mensaje enviado.
+
+### 2. Ejercicio de Consumo de Datos
+
+- **Objetivo**: Configurar un consumidor de Kafka que lea los mensajes desde el tópico donde se publican las transferencias.
+- **Acción**: El consumidor deserializa los mensajes JSON y los muestra por consola, mostrando el detalle de cada transferencia.
+
+### 3. Filtrado de Transferencias por País
+
+- **Objetivo**: Filtrar y mostrar solo las transferencias de países específicos (ej. paraísos fiscales).
+- **Acción**: El consumidor solo muestra las transferencias cuyo país de origen o destino sea **Islas Caimán** o **Singapur**, imprimiendo solo esos registros por consola.
+
+### 4. Transformación de Datos (Suma de Montos)
+
+- **Objetivo**: Transformar los datos y calcular el monto total de transferencias por país.
+- **Acción**: El consumidor agrupa las transferencias por país de origen y muestra la suma total de los montos por país, todo en consola.
+
+### 5. Almacenamiento Temporal en Memoria (Solo por Consola)
+
+- **Objetivo**: Procesar solo las transferencias con estado **"Completada"**.
+- **Acción**: El consumidor filtra las transferencias con estado "Completada" y las imprime por consola.
+
+### 6. Tópico de Transacciones Pendientes
+
+- **Objetivo**: Filtrar y mostrar solo las transferencias con estado **"Pendiente"**.
+- **Acción**: El consumidor filtra las transferencias con estado "Pendiente" y las muestra por consola, indicando que están pendientes de procesar.
+
+## Requisitos
+
+- **Apache Kafka** instalado y corriendo.
+- **Kafka Python (confluent-kafka)** para la implementación de Producer y Consumer.
+- **JSON de Transferencias Bancarias** que contiene información como el ID de la transferencia, país de origen/destino, monto, etc.
+
+## Ejecución
+
+1. **Ejecutar el Productor**:
+    - El productor enviará los datos de las transferencias al tópico de Kafka.
+
+2. **Ejecutar el Consumidor**:
+    - El consumidor leerá los mensajes de Kafka y los procesará según el ejercicio.
+
+## Contribuciones
+
+Si deseas contribuir, por favor haz un fork del repositorio, realiza los cambios necesarios y crea un pull request.
diff --git a/PROFESORES/KAFKA/src/main/python/exercise7/transferencias.txt b/PROFESORES/KAFKA/src/main/python/exercise7/transferencias.txt
new file mode 100644
index 000000000..f14402d6e
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/python/exercise7/transferencias.txt
@@ -0,0 +1,21 @@
+{"id_transferencia":"T001","fecha":"2024-11-21T10:15:00Z","cuenta_origen":"KY12345678901234567890","pais_origen":"Islas Caimán","cuenta_destino":"ES09876543210987654321","pais_destino":"España","monto":2500.75,"moneda":"EUR","concepto":"Pago de alquiler","estado":"Completada"}
+{"id_transferencia":"T002","fecha":"2024-11-21T12:30:00Z","cuenta_origen":"SG11223344556677889900","pais_origen":"Singapur","cuenta_destino":"US99887766554433221100","pais_destino":"Estados Unidos","monto":150.00,"moneda":"USD","concepto":"Compra en línea","estado":"Completada"}
+{"id_transferencia":"T003","fecha":"2024-11-22T08:45:00Z","cuenta_origen":"FR12345678901234567890","pais_origen":"Francia","cuenta_destino":"GB12345678901234567890","pais_destino":"Reino Unido","monto":5000.00,"moneda":"EUR","concepto":"Transferencia empresarial","estado":"Pendiente"}
+{"id_transferencia":"T004","fecha":"2024-11-22T14:00:00Z","cuenta_origen":"DE22334455667788990011","pais_origen":"Alemania","cuenta_destino":"IT12345678901234567890","pais_destino":"Italia","monto":750.25,"moneda":"EUR","concepto":"Pago de proveedores","estado":"Completada"}
+{"id_transferencia":"T005","fecha":"2024-11-23T09:20:00Z","cuenta_origen":"US99887766554433221100","pais_origen":"Estados Unidos","cuenta_destino":"ES11223344556677889900","pais_destino":"España","monto":500.00,"moneda":"USD","concepto":"Compra de tecnología","estado":"Completada"}
+{"id_transferencia":"T006","fecha":"2024-11-23T11:00:00Z","cuenta_origen":"KY11223344556677889900","pais_origen":"Islas Caimán","cuenta_destino":"ES55667788990011223344","pais_destino":"España","monto":1250.00,"moneda":"EUR","concepto":"Pago de dividendos","estado":"Completada"}
+{"id_transferencia":"T007","fecha":"2024-11-24T16:10:00Z","cuenta_origen":"SG22334455667788990011","pais_origen":"Singapur","cuenta_destino":"DE99887766554433221100","pais_destino":"Alemania","monto":350.00,"moneda":"EUR","concepto":"Transferencia comercial","estado":"Pendiente"}
+{"id_transferencia":"T008","fecha":"2024-11-24T18:00:00Z","cuenta_origen":"DE33445566778899001122","pais_origen":"Alemania","cuenta_destino":"IT12345678901234567890","pais_destino":"Italia","monto":4000.75,"moneda":"USD","concepto":"Pago de contrato","estado":"Completada"}
+{"id_transferencia":"T009","fecha":"2024-11-25T13:30:00Z","cuenta_origen":"SG99887766554433221100","pais_origen":"Singapur","cuenta_destino":"US22334455667788990011","pais_destino":"Estados Unidos","monto":750.50,"moneda":"USD","concepto":"Compra de acciones","estado":"Completada"}
+{"id_transferencia":"T010","fecha":"2024-11-25T15:45:00Z","cuenta_origen":"KY55667788990011223344","pais_origen":"Islas Caimán","cuenta_destino":"IT44556677889900112233","pais_destino":"Italia","monto":2000.00,"moneda":"EUR","concepto":"Pago por consultoría","estado":"Completada"}
+{"id_transferencia":"T011","fecha":"2024-11-26T08:10:00Z","cuenta_origen":"SG55667788990011223344","pais_origen":"Singapur","cuenta_destino":"GB33445566778899001122","pais_destino":"Reino Unido","monto":1000.00,"moneda":"GBP","concepto":"Préstamo personal","estado":"Completada"}
+{"id_transferencia":"T012","fecha":"2024-11-26T11:45:00Z","cuenta_origen":"DE66778899001122334455","pais_origen":"Alemania","cuenta_destino":"ES55667788990011223344","pais_destino":"España","monto":300.00,"moneda":"EUR","concepto":"Pago de factura","estado":"Completada"}
+{"id_transferencia":"T013","fecha":"2024-11-27T09:25:00Z","cuenta_origen":"US22334455667788990011","pais_origen":"Estados Unidos","cuenta_destino":"GB22334455667788990011","pais_destino":"Reino Unido","monto":1500.50,"moneda":"GBP","concepto":"Inversión inmobiliaria","estado":"Completada"}
+{"id_transferencia":"T014","fecha":"2024-11-27T14:00:00Z","cuenta_origen":"SG22334455667788990011","pais_origen":"Singapur","cuenta_destino":"IT66778899001122334455","pais_destino":"Italia","monto":850.00,"moneda":"EUR","concepto":"Pago por servicios legales","estado":"Completada"}
+{"id_transferencia":"T015","fecha":"2024-11-28T08:30:00Z","cuenta_origen":"FR11223344556677889900","pais_origen":"Francia","cuenta_destino":"ES66778899001122334455","pais_destino":"España","monto":1250.50,"moneda":"EUR","concepto":"Pago por software","estado":"Completada"}
+{"id_transferencia":"T016","fecha":"2024-11-28T11:00:00Z","cuenta_origen":"US33445566778899001122","pais_origen":"Estados Unidos","cuenta_destino":"FR66778899001122334455","pais_destino":"Francia","monto":4500.00,"moneda":"USD","concepto":"Venta de propiedad","estado":"Pendiente"}
+{"id_transferencia":"T017","fecha":"2024-11-29T10:15:00Z","cuenta_origen":"US22334455667788990011","pais_origen":"Estados Unidos","cuenta_destino":"GB55667788990011223344","pais_destino":"Reino Unido","monto":3200.00,"moneda":"GBP","concepto":"Transferencia de fondos","estado":"Completada"}
+{"id_transferencia":"T018","fecha":"2024-11-29T12:40:00Z","cuenta_origen":"IT22334455667788990011","pais_origen":"Italia","cuenta_destino":"DE55667788990011223344","pais_destino":"Alemania","monto":800.75,"moneda":"EUR","concepto":"Pago de proveedores","estado":"Completada"}
+{"id_transferencia":"T019","fecha":"2024-11-30T14:15:00Z","cuenta_origen":"US22334455667788990011","pais_origen":"Estados Unidos","cuenta_destino":"ES22334455667788990011","pais_destino":"España","monto":950.25,"moneda":"USD","concepto":"Pago de inversión","estado":"Completada"}
+{"id_transferencia":"T020","fecha":"2024-11-30T17:20:00Z","cuenta_origen":"SG33445566778899001122","pais_origen":"Singapur","cuenta_destino":"IT33445566778899001122","pais_destino":"Italia","monto":720.00,"moneda":"EUR","concepto":"Pago de salario","estado":"Completada"}
+{"id_transferencia":"T021","fecha":"2024-12-01T10:00:00Z","cuenta_origen":"KY11223344556677889900","pais_origen":"Islas Caimán","cuenta_destino":"IT11223344556677889900","pais_destino":"Italia","monto":1500.00,"moneda":"EUR","concepto":"Donación","estado":"Completada"}
diff --git a/PROFESORES/KAFKA/src/main/resources/client.properties b/PROFESORES/KAFKA/src/main/resources/client.properties
new file mode 100644
index 000000000..ae4889c61
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/resources/client.properties
@@ -0,0 +1,30 @@
+
+########## LINES TO BE MODIFIED ##########
+
+# Required connection configs for Kafka producer, consumer, and admin
+bootstrap.servers=pkc-mxqvx.europe-southwest1.gcp.confluent.cloud:9092
+security.protocol=SASL_SSL
+sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='PS24DDNH3WJY5JHH' password='J4arpeSN+ztKQhEy8K6AQHU8959YO6iu0eRxHvgK3tOa2dOK7+IKImNOrcYEvsuV';
+##########################################
+
+
+sasl.mechanism=PLAIN
+# Required for correctness in Apache Kafka clients prior to 2.6
+client.dns.lookup=use_all_dns_ips
+
+# Best practice for higher availability in Apache Kafka clients prior to 3.0
+session.timeout.ms=45000
+
+# Best practice for Kafka producer to prevent data loss
+acks=all
+
+# Serializer configurations
+key.serializer=org.apache.kafka.common.serialization.StringSerializer
+value.serializer=org.apache.kafka.common.serialization.StringSerializer
+
+
+# Deserializer configurations
+
+key.deserializer=org.apache.kafka.common.serialization.StringDeserializer
+value.deserializer=org.apache.kafka.common.serialization.StringDeserializer
+
diff --git a/PROFESORES/KAFKA/src/main/resources/confluent-cloud/README.md b/PROFESORES/KAFKA/src/main/resources/confluent-cloud/README.md
new file mode 100644
index 000000000..1847ec8a6
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/resources/confluent-cloud/README.md
@@ -0,0 +1 @@
+https://confluent.cloud/learn
diff --git a/PROFESORES/KAFKA/src/main/resources/log4j.properties b/PROFESORES/KAFKA/src/main/resources/log4j.properties
new file mode 100644
index 000000000..01f171120
--- /dev/null
+++ b/PROFESORES/KAFKA/src/main/resources/log4j.properties
@@ -0,0 +1,20 @@
+log4j.rootLogger=WARN, stdout
+
+log4j.appender.stdout=org.apache.log4j.ConsoleAppender
+log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
+log4j.appender.stdout.layout.ConversionPattern=[%d] %p [%t] %m (%c)%n
+
+# Enable for debugging if need be
+#log4j.logger.org.apache.kafka.streams=DEBUG, stdout
+#log4j.additivity.org.apache.kafka.streams=false
+
+# Squelch expected error messages like:
+#     java.lang.IllegalStateException: This consumer has already been closed.
+log4j.logger.org.apache.kafka.streams.processor.internals.StreamThread=FATAL, stdout
+log4j.logger.org.apache.kafka.clients.consumer.internals.Fetcher=WARN
+# adjusting logging for entire Kafka
+log4j.logger.org.apache.kafka=INFO
+
+# Enable for debugging if need be
+#log4j.logger.io.confluent=DEBUG, stdout
+#log4j.additivity.io.confluent=false
\ No newline at end of file
diff --git a/PROFESORES/LINUX/README.md b/PROFESORES/LINUX/README.md
new file mode 100644
index 000000000..250319e78
--- /dev/null
+++ b/PROFESORES/LINUX/README.md
@@ -0,0 +1,91 @@
+# Linux_Comandos
+
+Para entregar este ejercicio, debes copiar este archivo en tu carpeta de alumno y completar las respuestas a las preguntas que se formulan en el mismo.
+Una vez completado, debes subirlo a vuestro repositorio remoto de GitHub y realizar una Pull Request poniendo a Pedro Nieto como reviewer.
+
+
+Ejercicio de comandos en la consola de linux.
+
+  1.Listar todos los archivos del directorio bin.
+  
+    
+     
+    
+  2.Listar todos los archivos del directorio tmp.
+   
+    
+    
+  3.Listar todos los archivos del directorio etc que empiecen por t 
+    
+    
+  
+  4.Listar todos los archivos del directorio dev que empiecen por tty.
+    
+    
+    
+  5.Listar todos los archivos del directorio dev que empiecen por tty y acaben en 3.
+    
+    
+    
+  6.Listar todos los archivos del directorio dev que empiecen por t y acaben en C1.
+    
+    
+
+  7.Listar todos los archivos, incluidos los ocultos, del directorio raíz.
+    
+    
+    
+  8.Listar todos los archivos del directorio etc que no empiecen por t.
+    
+    
+
+  9.Listar todos los archivos del directorio usr y sus subdirectorios.
+    
+    
+
+  10.Cambiarse al directorio tmp, crear directorio PRUEBA.
+    
+    
+
+  11.Verificar que el directorio actual ha cambiado.
+    
+    
+
+  12.Mostrar el día y la hora actual.
+    
+    
+
+  13.Con un solo comando posicionarse en el directorio $HOME.
+    
+    
+ 
+  14.Verificar que se está en él.
+    
+    
+
+  15.Listar todos los ficheros del directorio HOME mostrando sus permisos.
+    
+    
+
+  16.Borrar todos los archivos y directorios visibles de vuestro directorio PRUEBA.
+    
+    
+
+  17.Crear los directorios dir1, dir2 y dir3 en el directorio PRUEBA. Dentro de dir1 crear el directorio dir11. Dentro del directorio 
+  dir3 crear el directorio dir31. Dentro del directorio dir31, crear los directorios dir311 y dir312.
+    
+    
+    
+  18.Copiar el archivo /etc/motd a un archivo llamado mensaje de vuestro directorio PRUEBA.
+    
+    
+
+  19.Copiar mensaje en dir1, dir2 y dir3.
+    
+    
+    
+  20.Comprobar el ejercicio anterior mediante un solo comando.
+    
+
+    
+   
diff --git a/PROFESORES/LINUX/script.md b/PROFESORES/LINUX/script.md
new file mode 100644
index 000000000..ae1677736
--- /dev/null
+++ b/PROFESORES/LINUX/script.md
@@ -0,0 +1,86 @@
+# Desarrollar un script en Bash
+
+## Descripción
+
+En este ejercicio vamos a desarrollar un script en Bash que nos permita realizar una serie de tareas de forma automática. Para ello, vamos a utilizar los conocimientos adquiridos en el módulo de Linux. Para realizar este ejercicio separaremos la forma de probar dichos ejercicios en dos grupos de alumnos (Mac y Windows). 
+Antes de empezar recordemos las bases del ejercicio:
+
+1) Las carpetas deben crearse en la carpeta de Usuario de cada alumno dentro de LINUX (Nota: Directorio de Trabajo)
+2) El script debe ser capaz de crear las carpetas y los archivos necesarios para realizar las tareas sin intervención del usuario más allá de su ejecución
+3) El script debe ser reejecutable sin necesidad de modificarlo, por lo que debe borrar al inicio lo creado en la ejecución anterior
+4) El script debe mostrar una leyenda al inicio de cada tarea indicando que tarea se va a realizar (Nota: echo)
+
+### Comunes
+
+Abre tu Visual Studio y crea un nuevo archivo llamado `script.sh`. En este archivo vamos a desarrollar el script que nos permita realizar las tareas a automatizar.  
+Recuerda que el script debe tener siempre la siguiente primera línea:
+
+```bash
+#!/bin/bash
+```
+
+
+### Mac
+
+Si ya has generado el script toca probarlo, en el caso de Mac debemos ir a la terminal de Visual Studio y ejecutar el siguiente comando:
+
+```bash
+./script.sh
+```
+En caso de recibir un error de permisos, debemos darle permisos de ejecución al script. Para ello, ejecutaremos el siguiente comando:
+
+```bash
+chmod 777 script.sh
+```
+Una vez ejecutado el script deberemos poder listar los contenidos de las carpetas creadas en el ejercicio y validar que el resultado es correcto. Si es así FEICIDADES, has terminado el ejercicio.
+
+
+### Windows
+
+Si ya has generado el script toca probarlo, en el caso de Windows como ya hemos comentado en clase debido a la virtualización que usa no podemos ejecutar un script de Linux. Para solucionarlo realizaremos los siguientes pasos:
+
+1) Dentro de la terminal de Visual Studio Code, ejecutaremos el siguiente comando:
+
+```bash
+docker create -it --name unix ubuntu:latest
+docker start unix
+docker exec -it unix /bin/bash
+apt update
+apt install vim
+```
+
+2) Una vez ejecutados nos aseguraremos que estamos dentro del contenedor, nuestro prompt debe ser algo similar a:
+
+```bash
+root@f0b3c2c3f0b3:/#
+```
+
+3) Una vez abierto, abriremos la terminal y ejecutaremos los siguientes comandos:
+
+```bash
+vi script.sh
+```
+
+4) Una vez dentro de Vi pulsaremos lo siguiente para entrar en modo edición:
+
+```bash
+a
+```
+Y se activará el modo edición:
+
+**-- INSERT --**
+
+5) Ahora copiaremos el contenido del script que hemos generado en Visual Studio Code y lo pegaremos en la terminal de Vi usando el botón derecho del ratón. Una vez pegado, pulsaremos la tecla `ESC` y escribiremos `:wq` para guardar y salir del editor.
+
+6) Una vez guardado el script, ejecutaremos el siguiente comando para darle permisos de ejecución:
+
+```bash
+chmod 777 script.sh
+```
+
+7) Una vez ejecutado el script deberemos poder listar los contenidos de las carpetas creadas en el ejercicio y validar que el resultado es correcto. Si es así FEICIDADES, has terminado el ejercicio. Si no es así, puedes ejecutar el siguiente commando que borrará el script y volver al punto 3:
+
+```bash
+rm script.sh
+```
+
diff --git a/PROFESORES/PYSPARK/1_introduction.pdf b/PROFESORES/PYSPARK/1_introduction.pdf
new file mode 100644
index 000000000..d63bfe9bf
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diff --git a/PROFESORES/PYSPARK/2_spark_sql.pdf b/PROFESORES/PYSPARK/2_spark_sql.pdf
new file mode 100644
index 000000000..ae1f63298
Binary files /dev/null and b/PROFESORES/PYSPARK/2_spark_sql.pdf differ
diff --git a/PROFESORES/PYSPARK/3_performance.pdf b/PROFESORES/PYSPARK/3_performance.pdf
new file mode 100644
index 000000000..5d35e472d
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diff --git a/PROFESORES/PYSPARK/e2e_spark/4_diy_etl.pdf b/PROFESORES/PYSPARK/e2e_spark/4_diy_etl.pdf
new file mode 100644
index 000000000..06d605709
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diff --git a/PROFESORES/PYSPARK/e2e_spark/README.md b/PROFESORES/PYSPARK/e2e_spark/README.md
new file mode 100644
index 000000000..4b0faa479
--- /dev/null
+++ b/PROFESORES/PYSPARK/e2e_spark/README.md
@@ -0,0 +1,15 @@
+# Spark EDEM MDA 2324
+
+In this repo we have the code to develop the deliverable Spark exercise. To raise the Spark containers go into the docker folder and launch:
+```sh
+docker-compose up -d
+```
+
+Also we leave here the command we will use to launch our Spark apps:
+```sh
+bash /spark/bin/spark-submit --master local opt/project/src/python/example.py
+```
+
+For more detailed info about the exercise please refer to the PDF included in this repo 4_diy_etl.pdf.
+
+Thanks :)
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/e2e_spark/docker/docker-compose.yml b/PROFESORES/PYSPARK/e2e_spark/docker/docker-compose.yml
new file mode 100644
index 000000000..1e6dc0f26
--- /dev/null
+++ b/PROFESORES/PYSPARK/e2e_spark/docker/docker-compose.yml
@@ -0,0 +1,26 @@
+version: '3'
+services:
+  # Spark containers
+  spark-master:
+    image: metabrainz/spark-master:latest
+    ports:
+      - "4040:4040"
+      - "9090:9090"
+      - "7077:7077"
+    volumes:
+      - ../project:/opt/project
+    environment:
+      - "SPARK_LOCAL_IP=spark-master"
+
+  spark-worker:
+    image: metabrainz/spark-worker:latest
+    depends_on:
+      - spark-master
+    environment:
+      - SPARK_MASTER=spark://spark-master:7077
+      - SPARK_WORKER_CORES=1
+      - SPARK_WORKER_MEMORY=1G
+      - SPARK_DRIVER_MEMORY=128m
+      - SPARK_EXECUTOR_MEMORY=256m
+    volumes:
+      - ../project:/opt/project
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/e2e_spark/project/resources/example.csv b/PROFESORES/PYSPARK/e2e_spark/project/resources/example.csv
new file mode 100644
index 000000000..192148b27
--- /dev/null
+++ b/PROFESORES/PYSPARK/e2e_spark/project/resources/example.csv
@@ -0,0 +1,3 @@
+example,no
+ex1,1
+ex2,2
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/e2e_spark/project/src/python/example.py b/PROFESORES/PYSPARK/e2e_spark/project/src/python/example.py
new file mode 100644
index 000000000..d01b735eb
--- /dev/null
+++ b/PROFESORES/PYSPARK/e2e_spark/project/src/python/example.py
@@ -0,0 +1,9 @@
+from pyspark.sql import SparkSession
+spark = SparkSession.builder.getOrCreate()
+
+# Import sql functions
+from pyspark.sql.functions import *
+
+exampleDF = spark.read.options(header='True', inferSchema='True').csv("/opt/project/resources/example.csv")
+
+exampleDF.show()
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/notebooks/01.DataFramesBascis.ipynb b/PROFESORES/PYSPARK/notebooks/01.DataFramesBascis.ipynb
new file mode 100644
index 000000000..3782f4bfa
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks/01.DataFramesBascis.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"u3WKxUMvQ9JW"},"source":["# DataFrames Basics"]},{"cell_type":"markdown","metadata":{"id":"IBsRl4yARA3x"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"0KID1ObYRDA4"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":105079,"status":"ok","timestamp":1670605221056,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-9EjQzqhRJSZ"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1670605221057,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"E4s6wcUsSPHQ","outputId":"feab5ebb-a7f9-4078-c85d-e112383efe5b"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  7 14:41 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3869,"status":"ok","timestamp":1670605224920,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"hSA_T2q7SEt_"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":4427,"status":"ok","timestamp":1670605229334,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"HpKEfJTeii2Y"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17123,"status":"ok","timestamp":1670605246445,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zwH-zC17SGnP","outputId":"1cd82f81-01c3-4283-ebdb-bba0318a4b52"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[K     |████████████████████████████████| 200 kB 6.8 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n"]}],"source":["\n","!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"y1tk452JRjuY"},"source":["Define the environment"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":31,"status":"ok","timestamp":1670605246446,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vrMxCiuZRl7h"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"vk_3rL02Q9JZ"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":11208,"status":"ok","timestamp":1670605257627,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-HtQz6mfQ9JZ","outputId":"b1ed7644-4b47-49f4-89ca-310a9c173e65"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"DataFrames Basics\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2047,"status":"ok","timestamp":1670605259667,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"DrOjmfL9Q9Ja","outputId":"3a4dba91-ad21-4c19-8034-7526d4e19811"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://b9dcd8c91fa1:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>DataFrames Basics</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f2b45206ca0>"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670605259668,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"IBZ8ufPAQ9Jb"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670605259668,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nJ-cdrAlQ9Jb"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"AIP7U3YYTDbw"},"source":["Download datasets"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":2655,"status":"ok","timestamp":1670605262320,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"d63cazZLTKTv"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/cars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/bank.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/vehicles.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1670605262320,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ml1O2OiQU6ah","outputId":"ad13f4aa-4fe6-47d7-a4c0-b9c210432a75"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 1784\n","-rw-r--r-- 1 root root  461474 Dec  9 17:01 bank.csv\n","-rw-r--r-- 1 root root   74910 Dec  9 17:00 cars.json\n","-rw-r--r-- 1 root root 1274347 Dec  9 17:01 movies.json\n","-rw-r--r-- 1 root root    4370 Dec  9 17:01 vehicles.csv\n"]}],"source":["ls -l /dataset"]},{"cell_type":"markdown","metadata":{"id":"94aRTBiPQ9Jc"},"source":["## Examples"]},{"cell_type":"code","execution_count":14,"metadata":{"executionInfo":{"elapsed":593,"status":"ok","timestamp":1670605328886,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XxXiDT4XUgjl"},"outputs":[],"source":["from pyspark.sql.types import Row\n","from pyspark.sql.functions import *"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13116,"status":"ok","timestamp":1670605344595,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"p69TjjJBTrDF","outputId":"86dccaab-1eac-45ef-e965-6fe37dea7a3c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---+----------+-------+---------+-------+\n","|age|       job|marital|education|balance|\n","+---+----------+-------+---------+-------+\n","| 30|unemployed|married|  primary|   1787|\n","| 33|  services|married|secondary|   4789|\n","| 35|management| single| tertiary|   1350|\n","+---+----------+-------+---------+-------+\n","only showing top 3 rows\n","\n"]}],"source":["bankText = spark.sparkContext.textFile(\"/dataset/bank.csv\")\n","\n","#we have to: remove firt row (headers), map the rest, and create DF\n","bank = bankText.map(lambda lineaCsv: lineaCsv.split(\";\"))\\\n",".filter(lambda s: s[0] != \"\\\"age\\\"\") \\\n",".map(lambda row: Row(int(row[0]), row[1].replace(\"\\\"\", \"\"), row[2].replace(\"\\\"\", \"\"), row[3].replace(\"\\\"\", \"\"), row[5].replace(\"\\\"\", \"\"))) \\\n",".toDF([\"age\", \"job\", \"marital\", \"education\", \"balance\"]) \\\n",".withColumn(\"age\", col(\"age\").cast(\"int\"))\n","\n","bank.show(3)"]},{"cell_type":"markdown","metadata":{"id":"DnCG9XHsTUfe"},"source":["Read directly from JSON file to a DF"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":1409,"status":"ok","timestamp":1670605345988,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"iBWBcsLDTYuF"},"outputs":[],"source":["carsDF = spark.read.option(\"inferSchema\", True).json(\"/dataset/cars.json\") # inferSchema requires one extra pass over the data\n","\n","# if None is set, it uses de default value (default = False) you can also pass the schema manually"]},{"cell_type":"markdown","metadata":{"id":"beN35oUrUo4c"},"source":["Read directly from csv"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1488,"status":"ok","timestamp":1670605379551,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"xaxDO13vUlSs","outputId":"117625e7-ad3e-47a3-f305-e1208b82faa8"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","|age|       job|marital|education|default|balance|housing|loan| contact|day|month|duration|campaign|pdays|previous|poutcome|  y|\n","+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","| 30|unemployed|married|  primary|     no|   1787|     no|  no|cellular| 19|  oct|      79|       1|   -1|       0| unknown| no|\n","| 33|  services|married|secondary|     no|   4789|    yes| yes|cellular| 11|  may|     220|       1|  339|       4| failure| no|\n","| 35|management| single| tertiary|     no|   1350|    yes|  no|cellular| 16|  apr|     185|       1|  330|       1| failure| no|\n","+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","only showing top 3 rows\n","\n"]}],"source":["bankDF = spark.read.option(\"header\", \"true\").option(\"delimiter\", \";\").csv(\"/dataset/bank.csv\")\n","bankDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"OOt52pbaQ9Jc"},"source":["Showing a DF and print schema"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":494,"status":"ok","timestamp":1670580334437,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"PmmsrRxaQ9Jd","outputId":"7016f8d3-376a-4ad3-b98e-2e5a0ce3e5aa"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 2 rows\n","\n","root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Cylinders: long (nullable = true)\n"," |-- Displacement: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight_in_lbs: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["carsDF.show(2)\n","carsDF.printSchema()"]},{"cell_type":"markdown","metadata":{"id":"ij4TDMZ0lkBZ"},"source":["Get Rows"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":614,"status":"ok","timestamp":1670605438909,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SB06W84wlnlY","outputId":"11894b33-d726-4577-ae57-4c0312429d5d"},"outputs":[{"data":{"text/plain":["[Row(Acceleration=12.0, Cylinders=8, Displacement=307.0, Horsepower=130, Miles_per_Gallon=18.0, Name='chevrolet chevelle malibu', Origin='USA', Weight_in_lbs=3504, Year='1970-01-01'),\n"," Row(Acceleration=11.5, Cylinders=8, Displacement=350.0, Horsepower=165, Miles_per_Gallon=15.0, Name='buick skylark 320', Origin='USA', Weight_in_lbs=3693, Year='1970-01-01')]"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["carsDF.take(2)"]},{"cell_type":"markdown","metadata":{"id":"Z89eHF1aQ9Jd"},"source":["Count"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1183,"status":"ok","timestamp":1670605451441,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"rtFilGlZWGyo","outputId":"3dad6a3c-7e6f-4d92-f7ed-5b9c049eb025"},"outputs":[{"data":{"text/plain":["406"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["carsDF.count()"]},{"cell_type":"markdown","metadata":{"id":"akmA70EPQ9Jd"},"source":["Schema"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670580335852,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Rp6hKanzQ9Je","outputId":"e57a56d7-fdb3-4007-8d30-c6a4d3d9de10"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pyspark.sql.types.StructType'>\n","StructType([StructField('Acceleration', DoubleType(), True), StructField('Cylinders', LongType(), True), StructField('Displacement', DoubleType(), True), StructField('Horsepower', LongType(), True), StructField('Miles_per_Gallon', DoubleType(), True), StructField('Name', StringType(), True), StructField('Origin', StringType(), True), StructField('Weight_in_lbs', LongType(), True), StructField('Year', StringType(), True)])\n"]}],"source":["# obtain a schema\n","carsSchema = carsDF.schema\n","print(type(carsSchema))\n","print(carsSchema)"]},{"cell_type":"markdown","metadata":{"id":"v_XS0vB0Q9Je"},"source":["Custom Schemas"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":256,"status":"ok","timestamp":1670605490627,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ekQkJLT8Q9Je"},"outputs":[],"source":["example = spark.sparkContext.parallelize([(\"chevrolet chevelle malibu\",18,\"1970-01-01\",\"USA\"),\n","    (\"buick skylark 320\",15,\"1970-01-01\",\"USA\")])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":387,"status":"ok","timestamp":1670580336237,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nUzjX4kTQ9Je","outputId":"915707fc-a31f-4cc1-f7dd-a8ee013e82a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- _1: string (nullable = true)\n"," |-- _2: long (nullable = true)\n"," |-- _3: string (nullable = true)\n"," |-- _4: string (nullable = true)\n","\n"]}],"source":["exampleDF = spark.createDataFrame(example)\n","exampleDF.printSchema()"]},{"cell_type":"markdown","metadata":{"id":"GeTtjRirQ9Je"},"source":["With columns names"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"uhY-f3j1Q9Jf"},"outputs":[],"source":["names = list([\"name\", \"weight\", \"date\", \"country\"])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1670580336237,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nqxqPyr1Q9Jf","outputId":"60ef9d54-9365-4a2a-8ee7-c96b08cece92"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- weight: long (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example2DF = example.toDF(names)\n","example2DF.printSchema()"]},{"cell_type":"code","execution_count":21,"metadata":{"executionInfo":{"elapsed":341,"status":"ok","timestamp":1670605542291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"toUIbosSQ9Jf"},"outputs":[],"source":["# importing sql types\n","from pyspark.sql.types import *"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"KZNfLhFWQ9Jf"},"outputs":[],"source":["# custom schema\n","customSchema = StructType([ \\\n","    StructField('name', StringType(), True), \\\n","    StructField('weight', StringType(), True), \\\n","    StructField('date', StringType(), True), \\\n","    StructField('country', StringType(), True)])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1670580336238,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"x63bbTDYQ9Jf","outputId":"ac14e809-6a0a-4b2c-de40-bc471939d3f0"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- weight: string (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example3DF = spark.createDataFrame(example, customSchema)\n","example3DF.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1670580336238,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eRiqa-G5Q9Jf","outputId":"6b62a663-7334-4711-a716-898ce9f718af"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------------+------+----------+-------+\n","|name                     |weight|date      |country|\n","+-------------------------+------+----------+-------+\n","|chevrolet chevelle malibu|18    |1970-01-01|USA    |\n","|buick skylark 320        |15    |1970-01-01|USA    |\n","+-------------------------+------+----------+-------+\n","\n"]}],"source":["example3DF.show(2, False)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"M3qToymLQ9Jg"},"outputs":[],"source":["# we can also specify schema with DDL (Data Definition Language)\n","customSchema2 = \"`name` STRING NOT NULL, `weight` INT, `date` STRING, `country` STRING\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670580336701,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"7k9X1gSSQ9Jg","outputId":"70a855ab-0961-43a9-8f48-9f04cfb757b3"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = false)\n"," |-- weight: integer (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example4DF = spark.createDataFrame(example, customSchema2)\n","example4DF.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670580336701,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"E5rayh3uQ9Jg","outputId":"0864a25e-c98f-4438-9bef-859ca9b2384c"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'int'>\n","<class 'str'>\n"]}],"source":["print(type(example2DF.collect()[0][\"weight\"]))\n","print(type(example3DF.collect()[0][\"weight\"]))"]},{"cell_type":"markdown","metadata":{"id":"6QnciaoWQ9Jg"},"source":["## Exercises\n","1) Create a manual DF describing smartphones\n","  - maker\n","  - model\n","  - screen dimension\n","  - camera megapixels\n","  \n","2) Read another file from the dataset/ folder, e.g. movies.json\n","  - print its schema\n","  - count the number of rows, call count()\n","\n","3) Take a look to vehicles.csv. Read the file to a DF but this time with your own schema"]},{"cell_type":"markdown","metadata":{"id":"kQR1cduXQ9Jg"},"source":["Exercise 1"]},{"cell_type":"markdown","metadata":{"id":"Zmg5kbOpl-s3"},"source":["Exercise 2"]},{"cell_type":"markdown","metadata":{"id":"JAqADV5jW00d"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JD2KQtXiYmVn"},"outputs":[],"source":[]}],"metadata":{"colab":{"collapsed_sections":["94aRTBiPQ9Jc"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/02.ColumnsAndExpressions.ipynb b/PROFESORES/PYSPARK/notebooks/02.ColumnsAndExpressions.ipynb
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+{"cells":[{"cell_type":"markdown","metadata":{"id":"eyZfoGe_trKF"},"source":["# Columns and Expressions"]},{"cell_type":"markdown","metadata":{"id":"OF1B2ocetvbn"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"l_Vt3AVEt3uX"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":20309,"status":"ok","timestamp":1670786288520,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JrJqxyXZt9wn"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1670786288521,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"WBfjT1TouA1O","outputId":"849b3c81-2ca2-4da3-a114-c1839e6cb4e1"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  8 14:36 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3624,"status":"ok","timestamp":1670786292141,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"bHueJOLRuD2H"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":3931,"status":"ok","timestamp":1670786296068,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"arpGbc-EuDlH"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12537,"status":"ok","timestamp":1670786308602,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Bc6eiLp0uKov","outputId":"8bf55c6e-f254-4c05-a04c-a8091df0c579"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[?25l\r\u001b[K     |█▋                              | 10 kB 19.9 MB/s eta 0:00:01\r\u001b[K     |███▎                            | 20 kB 16.3 MB/s eta 0:00:01\r\u001b[K     |█████                           | 30 kB 20.7 MB/s eta 0:00:01\r\u001b[K     |██████▌                         | 40 kB 17.1 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 51 kB 14.7 MB/s eta 0:00:01\r\u001b[K     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0:00:01\r\u001b[K     |███████████████████████████████ | 194 kB 19.0 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 200 kB 19.0 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n"]}],"source":["\n","!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"mfEdQvJLuP7Y"},"source":["Define the environment"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":11,"status":"ok","timestamp":1670786308602,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zU_829Z5uPEv"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"GByUn4STtrKH"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9402,"status":"ok","timestamp":1670786317995,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"lW82io8xtrKI","outputId":"9b3ef234-8873-41b5-f12e-2abbcc9fc22f"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Columns and Expressions\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1898,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Xe0_i5fHtrKJ","outputId":"8a9f40c7-a480-487f-aef6-d1ef630204ef"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://e4b58f6995fb:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Columns and Expressions</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f5666d74c40>"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"mIXSyPeytrKJ"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SsEHbN1HtrKJ"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"Cc8OP9YSu3KY"},"source":["Download datasets"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":982,"status":"ok","timestamp":1670786320867,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vgd-xCVUu5e4"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/cars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/more_cars.json -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"2m7U4JG7trKK"},"source":["Read JSON file"]},{"cell_type":"code","execution_count":12,"metadata":{"executionInfo":{"elapsed":9150,"status":"ok","timestamp":1670786330016,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"j40ajnajtrKK"},"outputs":[],"source":["carsDF = spark.read \\\n","    .option(\"inferSchema\", True) \\\n","    .json(\"/dataset/cars.json\")"]},{"cell_type":"markdown","metadata":{"id":"rBegVS5dtrKK"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"-j-DuH6xtrKL"},"source":["Select a column"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":665,"status":"ok","timestamp":1670786330672,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pJeRA5chtrKL","outputId":"bb2fc632-3e12-4093-bfb7-c697dcde2f61"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------------+\n","|Name                     |\n","+-------------------------+\n","|chevrolet chevelle malibu|\n","|buick skylark 320        |\n","|plymouth satellite       |\n","+-------------------------+\n","only showing top 3 rows\n","\n"]}],"source":["carsDF.select(col(\"Name\")).show(3, False)"]},{"cell_type":"markdown","metadata":{"id":"1Wd_xjFOY9Tl"},"source":["We can use various metods to refer a column"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":496,"status":"ok","timestamp":1670786331165,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RJYKyUputrKL","outputId":"0996f33d-676e-41c9-c86e-19387132cb5a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+------------+-------------+\n","|                Name|Acceleration|Weight_in_lbs|\n","+--------------------+------------+-------------+\n","|chevrolet chevell...|        12.0|         3504|\n","|   buick skylark 320|        11.5|         3693|\n","|  plymouth satellite|        11.0|         3436|\n","+--------------------+------------+-------------+\n","only showing top 3 rows\n","\n"]}],"source":["# various select methods\n","carsDF.select(\n","    carsDF.Name,\n","    col(\"Acceleration\"),\n","    \"Weight_in_lbs\"\n",").show(3)"]},{"cell_type":"markdown","metadata":{"id":"1BHOu4KEtrKL"},"source":["Expressions. We can use SQL like expression inside select to make operations with a column"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":629,"status":"ok","timestamp":1670786331793,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-OGl-DU7trKM","outputId":"d8d00a01-8d31-4d82-c6ca-b9b1ba7e71ed"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Name: string (nullable = true)\n"," |-- Weight_in_lbs: long (nullable = true)\n"," |-- Weight_in_kg_2: integer (nullable = true)\n"," |-- Weight_in_T: string (nullable = true)\n","\n","+--------------------+-------------+--------------+-----------+\n","|                Name|Weight_in_lbs|Weight_in_kg_2|Weight_in_T|\n","+--------------------+-------------+--------------+-----------+\n","|chevrolet chevell...|         3504|          1592|      3.504|\n","|   buick skylark 320|         3693|          1678|      3.693|\n","|  plymouth satellite|         3436|          1561|      3.436|\n","+--------------------+-------------+--------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["# \n","carsWithKgDF = carsDF.select(\n","    col(\"Name\"),\n","    col(\"Weight_in_lbs\"),\n","    (col(\"Weight_in_lbs\")/2.2).cast(\"int\").alias(\"Weight_in_kg_2\"), #cast result to int\n","    expr(\"Weight_in_lbs / 1000\").cast(\"string\").alias(\"Weight_in_T\") #cast result to str\n",")\n","carsWithKgDF.printSchema()\n","carsWithKgDF.show(3)"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":367,"status":"ok","timestamp":1670786332158,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"NZYAC9A8trKM","outputId":"74f8fdac-8acc-44f1-caef-5ebab0458d11"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-------------+---------------------+\n","|                Name|Weight_in_lbs|(Weight_in_lbs / 2.2)|\n","+--------------------+-------------+---------------------+\n","|chevrolet chevell...|         3504|          1592.727273|\n","|   buick skylark 320|         3693|          1678.636364|\n","|  plymouth satellite|         3436|          1561.818182|\n","+--------------------+-------------+---------------------+\n","only showing top 3 rows\n","\n"]}],"source":["# with expressions\n","carsWithSelectExprWeightsDF = carsDF.selectExpr(\n","    \"Name\",\n","    \"Weight_in_lbs\",\n","    \"Weight_in_lbs / 2.2\"\n","  )\n","carsWithSelectExprWeightsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"LDwREHXhtrKM"},"source":["### DF Processing"]},{"cell_type":"markdown","metadata":{"id":"D-12eNHDtrKM"},"source":["Add a column"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":698,"status":"ok","timestamp":1670786332854,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"S09Nw_iytrKM","outputId":"374e95f6-3d68-4bf5-f22a-2e866d5aa6db"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|    Weight_in_kg_3|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|1592.7272727272725|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|1678.6363636363635|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|         3436|1970-01-01|1561.8181818181818|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","only showing top 3 rows\n","\n"]}],"source":["carsWithKg3DF = carsDF.withColumn(\"Weight_in_kg_3\", col(\"Weight_in_lbs\") / 2.2)\n","carsWithKg3DF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"SaYkSZ-AtrKN"},"source":["Rename a column"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":513,"status":"ok","timestamp":1670786333366,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"5m8EFdTBtrKN","outputId":"8dfff95c-47d9-4df2-f788-3e08209201b2"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight in pounds|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|            3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|            3693|1970-01-01|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|            3436|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["carsWithColumnRenamed = carsDF.withColumnRenamed(\"Weight_in_lbs\", \"Weight in pounds\")\n","carsWithColumnRenamed.show(3)"]},{"cell_type":"code","execution_count":19,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1670786333366,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zzwPcSFqtrKN"},"outputs":[],"source":["# careful with column names\n","# carsWithColumnRenamed.selectExpr(\"Weight in pounds\")"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"8Y0Ir5jBtrKN","outputId":"7b9b4047-cf09-4da4-ee8e-9ba539df7569"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------+\n","|Weight in pounds|\n","+----------------+\n","|            3504|\n","|            3693|\n","|            3436|\n","+----------------+\n","only showing top 3 rows\n","\n"]}],"source":["# as we hace special characters (spaces) we have to use the ``\n","carsWithColumnRenamed.selectExpr(\"`Weight in pounds`\").show(3)"]},{"cell_type":"markdown","metadata":{"id":"mkqoz74TtrKN"},"source":["Remove a column"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"6qaH5KLhtrKO","outputId":"a3a1858b-b277-46e1-de67-09470093d1ba"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Cylinders: long (nullable = true)\n"," |-- Displacement: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight in pounds: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["carsWithColumnRenamed.printSchema()"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SE_SvbNNtrKO","outputId":"5e4775bc-c6c8-4acc-ff3c-fc5a1a2dce4c"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight in pounds: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["dropColsDF = carsWithColumnRenamed.drop(\"Cylinders\", \"Displacement\")\n","dropColsDF.printSchema()\n"]},{"cell_type":"markdown","metadata":{"id":"QKtbVrvBtrKO"},"source":["Filtering"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1506,"status":"ok","timestamp":1670786334871,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pr2vC4_9trKO","outputId":"5a14fe5b-8038-4c73-bf6e-1a015d44174f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        17.5|        4|       133.0|       115|            null|citroen ds-21 pallas|Europe|         3090|1970-01-01|\n","|        15.0|        4|       113.0|        95|            24.0|toyota corona mar...| Japan|         2372|1970-01-01|\n","|        14.5|        4|        97.0|        88|            27.0|        datsun pl510| Japan|         2130|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 3 rows\n","\n","152 == 152\n"]}],"source":["nonUSCarsDF = carsDF.filter(col(\"Origin\") != \"USA\")\n","nonUSCarsDF2 = carsDF.where(col(\"Origin\") != \"USA\")\n","nonUSCarsDF.show(3)\n","print(f\"{nonUSCarsDF.count()} == {nonUSCarsDF2.count()}\")"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":700,"status":"ok","timestamp":1670786335570,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Cc58o5B1trKO","outputId":"89677fd2-6f2d-4244-f984-472a975d2635"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|         3436|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["# filtering with expression strings\n","americanCarsDF = carsDF.filter(\"Origin = 'USA'\")\n","americanCarsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"YvqWVJKmtrKO"},"source":["Chain filters"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":371,"status":"ok","timestamp":1670786335936,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"QSYv7uastrKO","outputId":"a00f6ff7-3ecb-4640-e6ed-42d74d9ee293"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|             Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","|        11.5|        8|       350.0|       165|            15.0|buick skylark 320|   USA|         3693|1970-01-01|\n","|        10.0|        8|       429.0|       198|            15.0| ford galaxie 500|   USA|         4341|1970-01-01|\n","|         9.0|        8|       454.0|       220|            14.0| chevrolet impala|   USA|         4354|1970-01-01|\n","+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["americanPowerfulCarsDF = carsDF.filter(col(\"Origin\") == \"USA\").filter(col(\"Horsepower\") > 150)\n","americanPowerfulCarsDF2 = carsDF.filter((col(\"Origin\") == \"USA\") & (col(\"Horsepower\") > 150))\n","americanPowerfulCarsDF3 = carsDF.filter(\"Origin = 'USA' and Horsepower > 150\")\n","americanPowerfulCarsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"kVhkmxwZtrKP"},"source":["## Exercises\n","1. Read the movies DF and select 2 columns of your choice\n","2. Create another column summing up the total profit of the movies = US_Gross + Worldwide_Gross + DVD sales. Are you obtaining nulls? How you can solve it?\n","3. Select all COMEDY movies with IMDB rating above 6\n","Use as many versions as possible"]},{"cell_type":"markdown","metadata":{"id":"QgpQ09-wtrKP"},"source":["Exercise 1"]},{"cell_type":"markdown","metadata":{"id":"RgtGVWTrtrKQ"},"source":["Exercise 2"]},{"cell_type":"markdown","metadata":{"id":"9j710M_JQYwd"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"03-5sRApo571"},"outputs":[],"source":[]}],"metadata":{"colab":{"collapsed_sections":["LDwREHXhtrKM"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/03.Aggregations.ipynb b/PROFESORES/PYSPARK/notebooks/03.Aggregations.ipynb
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index 000000000..167222ebb
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@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"s4YqddS_vlYH"},"source":["# Aggregations and Grouping"]},{"cell_type":"markdown","metadata":{"id":"WwNMmP6GvoDQ"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HvezyELEvqZH"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7b0-USnDvst_"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1670581376752,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RnfbBxRivvWX","outputId":"6d1dd47f-2eb6-469e-f505-67be729bcb9a"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 2 root root      4096 Dec  9 10:22 \u001b[0m\u001b[01;34mdataset\u001b[0m/\n","drwxr-xr-x 1 root root      4096 Dec  7 14:41 \u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IhVzl2vbvxhY"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8JuU0Aylvxeo"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13363,"status":"ok","timestamp":1670581398749,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"0hvlB3OlvzxX","outputId":"0aff085f-53a1-40ed-c742-89aeac594b9b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[K     |████████████████████████████████| 200 kB 5.4 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n"]}],"source":["!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"O0C9EzZbv4x4"},"source":["Define the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Rf4ibNTdv7fv"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"K90Ld_NkvlYI"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9353,"status":"ok","timestamp":1670581408100,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2Fg_PLR_vlYI","outputId":"2dc34c37-2e19-4b3b-ec66-ef29f99419a1"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Aggregations and Grouping\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1809,"status":"ok","timestamp":1670581409903,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RnamkNcgvlYJ","outputId":"f3286245-59e1-4b01-d40a-4f2b8cbc7c9b"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://bb8340b5de62:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Aggregations and Grouping</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f168d2209d0>"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9AGniM-7vlYK"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"e0DXUK1fvlYK"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"1mCPp9fQwEif"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5xTARwq9wLgH"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/vehicles.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/characters.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"yD4q57C_vlYK"},"source":["Read JSON file\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dZWORhHKvlYK"},"outputs":[],"source":["moviesDF = spark.read \\\n","    .option(\"inferSchema\", True) \\\n","    .json(\"/dataset/movies.json\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1067,"status":"ok","timestamp":1670581420751,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"4h2S0ponvlYK","outputId":"07cfbb5f-67f2-4815-d9f4-e70c47089d11"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","|Creative_Type|Director|Distributor|IMDB_Rating|IMDB_Votes|MPAA_Rating|Major_Genre|Production_Budget|Release_Date|Rotten_Tomatoes_Rating|Running_Time_min|Source|Title                 |US_DVD_Sales|US_Gross|Worldwide_Gross|\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","|null         |null    |Gramercy   |6.1        |1071      |R          |null       |8000000          |12-Jun-98   |null                  |null            |null  |The Land Girls        |null        |146083  |146083         |\n","|null         |null    |Strand     |6.9        |207       |R          |Drama      |300000           |7-Aug-98    |null                  |null            |null  |First Love, Last Rites|null        |10876   |10876          |\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","only showing top 2 rows\n","\n","[StructField('Creative_Type', StringType(), True), StructField('Director', StringType(), True), StructField('Distributor', StringType(), True), StructField('IMDB_Rating', DoubleType(), True), StructField('IMDB_Votes', LongType(), True), StructField('MPAA_Rating', StringType(), True), StructField('Major_Genre', StringType(), True), StructField('Production_Budget', LongType(), True), StructField('Release_Date', StringType(), True), StructField('Rotten_Tomatoes_Rating', LongType(), True), StructField('Running_Time_min', LongType(), True), StructField('Source', StringType(), True), StructField('Title', StringType(), True), StructField('US_DVD_Sales', LongType(), True), StructField('US_Gross', LongType(), True), StructField('Worldwide_Gross', LongType(), True)]\n"]},{"data":{"text/plain":["['Creative_Type',\n"," 'Director',\n"," 'Distributor',\n"," 'IMDB_Rating',\n"," 'IMDB_Votes',\n"," 'MPAA_Rating',\n"," 'Major_Genre',\n"," 'Production_Budget',\n"," 'Release_Date',\n"," 'Rotten_Tomatoes_Rating',\n"," 'Running_Time_min',\n"," 'Source',\n"," 'Title',\n"," 'US_DVD_Sales',\n"," 'US_Gross',\n"," 'Worldwide_Gross']"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["moviesDF.show(2, False)\n","print(moviesDF.schema.fields)\n","moviesDF.columns"]},{"cell_type":"markdown","metadata":{"id":"M7Ab75vzvlYK"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"3L-vJzo5vlYK"},"source":["Count"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1175,"status":"ok","timestamp":1670581421925,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eWoq50okvlYL","outputId":"2765af46-4f08-4e2a-eb4c-f9b9c561ead9"},"outputs":[{"data":{"text/plain":["3201"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["# df rows counting, including NULLS\n","moviesDF.count()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":813,"status":"ok","timestamp":1670581422733,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JwFlAfygvlYL","outputId":"f5901338-7177-4d72-f0f6-b631112a7280"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------------+\n","|count(Major_Genre)|\n","+------------------+\n","|              2926|\n","+------------------+\n","\n"]}],"source":["# using sql functions, NOT including NULLS\n","genresCountDF = moviesDF.select(count(col(\"Major_Genre\")))\n","genresCountDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":267,"status":"ok","timestamp":1670581422999,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XOnzyw5pvlYL","outputId":"ed582d04-e104-4816-e363-afa12ad9406c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n"]}],"source":["directorsCountDF = moviesDF.select(count(moviesDF.Director))\n","directorsCountDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":266,"status":"ok","timestamp":1670581423264,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"I6zWJ2x8vlYL","outputId":"3d570765-2630-4dfb-d75b-6ff9b2d8f5e1"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+---------------+\n","|countMajor|count(Director)|\n","+----------+---------------+\n","|      2926|           1870|\n","+----------+---------------+\n","\n"]}],"source":["moviesDF.select(count(moviesDF.Major_Genre).alias(\"countMajor\"), count(moviesDF.Director)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":767,"status":"ok","timestamp":1670581424029,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nWOO2IBsvlYL","outputId":"cc36949a-5f6c-4e45-a26f-5b57aa04bd03"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n","+-----+\n","|count|\n","+-----+\n","| 1870|\n","+-----+\n","\n"]}],"source":["#using SQL syntax\n","moviesDF.select(expr(\"count(Director)\")).show()\n","moviesDF.selectExpr(\"count(Director) as count\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"QOje34ZavlYL"},"outputs":[],"source":["# using SQL\n","moviesDF.createOrReplaceTempView(\"movies\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":801,"status":"ok","timestamp":1670581424829,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-UTqpjafvlYM","outputId":"4129c709-8bed-4c6c-d5c4-c405b3a89cdd"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n"]}],"source":["spark.sql(\"select count(Director) from movies\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":225,"status":"ok","timestamp":1670581425052,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-bsgNq42vlYM","outputId":"54d942af-b340-44db-c175-5e45cd681494"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------+------------------+\n","|countDirector|count(Major_Genre)|\n","+-------------+------------------+\n","|         1870|              2926|\n","+-------------+------------------+\n","\n"]}],"source":["spark.sql(\"select count(Director) as countDirector, count(Major_Genre) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"7tD9smRhvlYM"},"source":["Count Distinct"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":515,"status":"ok","timestamp":1670581425565,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ngR6WFUovlYM","outputId":"bdd9d3c8-9b6c-4fc4-91b3-659ee17f55f8"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|count(DISTINCT Major_Genre)|\n","+---------------------------+\n","|                         12|\n","+---------------------------+\n","\n"]}],"source":["moviesDF.select(countDistinct(moviesDF.Major_Genre)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":606,"status":"ok","timestamp":1670581426170,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"65m9Ev4MvlYM","outputId":"36e25661-5573-43c3-fcf3-68f0db17ad77"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|count(DISTINCT Major_Genre)|\n","+---------------------------+\n","|                         12|\n","+---------------------------+\n","\n"]}],"source":["spark.sql(\"select count(distinct Major_Genre) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"wpwLzjsovlYM"},"source":["Min and max"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":691,"status":"ok","timestamp":1670581426859,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"FPOzkXPEvlYN","outputId":"e01067da-310d-4816-9712-bb1be6e6c35a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+----------------------+\n","|min(Production_Budget)|max(Production_Budget)|\n","+----------------------+----------------------+\n","|                   218|             300000000|\n","+----------------------+----------------------+\n","\n"]}],"source":["moviesDF.select(min(moviesDF.Production_Budget), max(moviesDF.Production_Budget)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":245,"status":"ok","timestamp":1670581427103,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pY6U_O43vlYN","outputId":"dd249a1d-b87f-4107-a91d-86f28e1bf312"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+\n","|min(Production_Budget)|\n","+----------------------+\n","|                   218|\n","+----------------------+\n","\n"]}],"source":["spark.sql(\"select min(Production_Budget) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"ID9Q9X7EvlYN"},"source":["Sum"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":504,"status":"ok","timestamp":1670581427606,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RHKzZO-6vlYN","outputId":"28db29ba-d97b-4ed2-8368-705f43a5af51"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+\n","|    salesUS|\n","+-----------+\n","|19684472405|\n","+-----------+\n","\n","+-----------+\n","|      sales|\n","+-----------+\n","|19684472405|\n","+-----------+\n","\n"]}],"source":["moviesDF.select(sum(moviesDF.US_DVD_Sales).alias(\"salesUS\")).show()\n","moviesDF.selectExpr(\"sum(US_DVD_Sales) as sales\").show()"]},{"cell_type":"markdown","metadata":{"id":"Yq5pF3mLvlYN"},"source":["Average"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":502,"status":"ok","timestamp":1670581428107,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"fDVmzYTsvlYN","outputId":"f33c15c5-05e4-4f51-9278-dccc0547ad65"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+\n","|avg(Production_Budget)|\n","+----------------------+\n","|    3.10691714484375E7|\n","+----------------------+\n","\n","+----------------------+\n","|avg(Production_Budget)|\n","+----------------------+\n","|    3.10691714484375E7|\n","+----------------------+\n","\n"]}],"source":["moviesDF.select(avg(moviesDF.Production_Budget)).show()\n","spark.sql(\"select avg(Production_Budget) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"4RLegmspvlYN"},"source":["Stats"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":713,"status":"ok","timestamp":1670581428815,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"WTJQxCazvlYO","outputId":"074f42ff-9506-4235-a284-d890e1da873c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|avg(Rotten_Tomatoes_Rating)|\n","+---------------------------+\n","|          54.33692373976734|\n","+---------------------------+\n","\n","+-----------------------------------+\n","|stddev_samp(Rotten_Tomatoes_Rating)|\n","+-----------------------------------+\n","|                  28.07659263787602|\n","+-----------------------------------+\n","\n"]}],"source":["moviesDF.select(mean(moviesDF.Rotten_Tomatoes_Rating)).show()\n","moviesDF.select(stddev(moviesDF.Rotten_Tomatoes_Rating)).show()"]},{"cell_type":"markdown","metadata":{"id":"BrbK9dgcvlYO"},"source":["### Grouping\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":713,"status":"ok","timestamp":1670581429523,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"yYrN8U1ZvlYO","outputId":"6d8ef70e-3866-4ad3-cc4d-b5190771de6a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+-----+\n","|        Major_Genre|count|\n","+-------------------+-----+\n","|Concert/Performance|    5|\n","|       Black Comedy|   36|\n","|            Western|   36|\n","|        Documentary|   43|\n","|            Musical|   53|\n","|    Romantic Comedy|  137|\n","|             Horror|  219|\n","|  Thriller/Suspense|  239|\n","|          Adventure|  274|\n","|               null|  275|\n","|             Action|  420|\n","|             Comedy|  675|\n","|              Drama|  789|\n","+-------------------+-----+\n","\n"]}],"source":["countByGenreGF = moviesDF.groupBy(moviesDF.Major_Genre).count().orderBy(\"count\")\n","countByGenreGF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":365,"status":"ok","timestamp":1670581429886,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ZZO4-ux9vlYO","outputId":"0cfd68a8-c3e1-459c-f700-b8b1cfd729b0"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+-----+\n","|        Major_Genre|count|\n","+-------------------+-----+\n","|Concert/Performance|    5|\n","|       Black Comedy|   36|\n","|            Western|   36|\n","|        Documentary|   43|\n","|            Musical|   53|\n","|    Romantic Comedy|  137|\n","|             Horror|  219|\n","|  Thriller/Suspense|  239|\n","|          Adventure|  274|\n","|             Action|  420|\n","|             Comedy|  675|\n","|              Drama|  789|\n","+-------------------+-----+\n","\n"]}],"source":["spark.sql(\"select Major_Genre, count(Major_Genre) as count from movies where Major_Genre is not null group by Major_Genre order by count\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":592,"status":"ok","timestamp":1670581430473,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eITO9H-gvlYO","outputId":"5abf6fce-9f3a-4329-8a95-9a7ba882fbaa"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+------------------+\n","|        Major_Genre|  avg(IMDB_Rating)|\n","+-------------------+------------------+\n","|        Documentary| 6.997297297297298|\n","|            Western| 6.842857142857142|\n","|       Black Comedy|6.8187500000000005|\n","|              Drama| 6.773441734417339|\n","|               null|  6.50082644628099|\n","|            Musical|             6.448|\n","|  Thriller/Suspense| 6.360944206008582|\n","|          Adventure| 6.345019920318729|\n","|Concert/Performance|             6.325|\n","|             Action| 6.114795918367349|\n","|    Romantic Comedy| 5.873076923076922|\n","|             Comedy| 5.853858267716529|\n","|             Horror|5.6760765550239185|\n","+-------------------+------------------+\n","\n"]}],"source":["avgRatingByGenreDF = moviesDF.groupBy(col(\"Major_Genre\")).avg(\"IMDB_Rating\").orderBy(col(\"avg(IMDB_Rating)\").desc())\n","avgRatingByGenreDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":448,"status":"ok","timestamp":1670581430919,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vnmu7fuovlYO","outputId":"80432633-aaa0-4bc0-ac8d-bd272a10b1b5"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+------------------+\n","|        Major_Genre|               avg|\n","+-------------------+------------------+\n","|        Documentary| 6.997297297297298|\n","|            Western| 6.842857142857142|\n","|       Black Comedy|6.8187500000000005|\n","|              Drama| 6.773441734417339|\n","|               null|  6.50082644628099|\n","|            Musical|             6.448|\n","|  Thriller/Suspense| 6.360944206008582|\n","|          Adventure| 6.345019920318729|\n","|Concert/Performance|             6.325|\n","|             Action| 6.114795918367349|\n","|    Romantic Comedy| 5.873076923076922|\n","|             Comedy| 5.853858267716529|\n","|             Horror|5.6760765550239185|\n","+-------------------+------------------+\n","\n"]}],"source":["moviesDF.groupBy(col(\"Major_Genre\")).agg(avg(\"IMDB_Rating\") \\\n","    .alias(\"avg\")).orderBy(col(\"avg\").desc()).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":367,"status":"ok","timestamp":1670581431285,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2fk-AjXIvlYO","outputId":"4cdea3f6-b1e3-4db5-bfc2-231d0de2241f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+--------+------------------+\n","|        Major_Genre|N_Movies|            rating|\n","+-------------------+--------+------------------+\n","|        Documentary|      43| 6.997297297297298|\n","|            Western|      36| 6.842857142857142|\n","|       Black Comedy|      36|6.8187500000000005|\n","|              Drama|     789| 6.773441734417339|\n","|               null|     275|  6.50082644628099|\n","|            Musical|      53|             6.448|\n","|  Thriller/Suspense|     239| 6.360944206008582|\n","|          Adventure|     274| 6.345019920318729|\n","|Concert/Performance|       5|             6.325|\n","|             Action|     420| 6.114795918367349|\n","|    Romantic Comedy|     137| 5.873076923076922|\n","|             Comedy|     675| 5.853858267716529|\n","|             Horror|     219|5.6760765550239185|\n","+-------------------+--------+------------------+\n","\n"]}],"source":["aggregationsByGenreDF = moviesDF.groupBy(\"Major_Genre\") \\\n","    .agg(\n","        count(\"*\").alias(\"N_Movies\"),\n","        avg(\"IMDB_Rating\").alias(\"rating\")\n","    ) \\\n","    .orderBy(col(\"rating\").desc()).show()"]},{"cell_type":"markdown","metadata":{"id":"cQ3xjlDxvlYP"},"source":["## Exercises\n","   1. Sum up all the worldwide profits of ALL the movies in the DF. Then sum the worldwide profits per director\n","   2. Count how many distinct directors we have\n","   3. Show the mean and standard deviation of US gross revenue for the movies (all the movies)\n","   4. Compute the average IMDB rating and the average US gross revenue PER DIRECTOR\n","   5. Sum up ALL the profits of ALL the movies in the DF. Then sum ALL the profits per director. Can you see null values? Why? How you can solve it? \n"]},{"cell_type":"markdown","metadata":{"id":"dzh5hcajvlYP"},"source":["Exercise 1"]},{"cell_type":"markdown","metadata":{"id":"x_KjX-qxvlYP"},"source":["Exercise 2"]},{"cell_type":"markdown","metadata":{"id":"x6iJ5GWlvlYQ"},"source":["Exercise 3"]},{"cell_type":"markdown","metadata":{"id":"qTyt8CotvlYQ"},"source":["Exercise 4"]},{"cell_type":"markdown","metadata":{"id":"HOs_Y_y0vlYQ"},"source":["Exercise 5"]}],"metadata":{"colab":{"collapsed_sections":["M7Ab75vzvlYK","BrbK9dgcvlYO","cQ3xjlDxvlYP"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/04.Joins.ipynb b/PROFESORES/PYSPARK/notebooks/04.Joins.ipynb
new file mode 100644
index 000000000..4cb2db4b7
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks/04.Joins.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"h-3AXSJMxWcj"},"source":["# Joins"]},{"cell_type":"markdown","metadata":{"id":"NqSTh04rxXpg"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"alWDpL2TxZt3"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Mpinu0eRxcmO"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":255,"status":"ok","timestamp":1670436579804,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Jz43HkUGxg_3","outputId":"ac5c6ea2-0832-4c9b-a2f5-a40a3ea9d40d"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 1 root root      4096 Dec  6 14:35 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FIMyGT7Axg9G"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"BdJz2vonxjDe"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10739,"status":"ok","timestamp":1670436621663,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vLrv7k6cxqVY","outputId":"335a57a9-43f9-4cba-a4f9-70ff84625d77"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: py4j in /usr/local/lib/python3.8/dist-packages (0.10.9.7)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n"]}],"source":["!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"uYSsCnv5xoPq"},"source":["Define the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ueuKeDHqxorP"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"77nvOyd1xWck"},"source":["Start Spark Session \n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":7803,"status":"ok","timestamp":1670436701150,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"u9zEr_35xWck","outputId":"6b19ccb2-446a-469f-eec0-2784973bc406"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Joins\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1905,"status":"ok","timestamp":1670436706003,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"oS7E2-87xWcl","outputId":"849af19b-7917-4d4c-d665-e18d972ac53a"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://8823ed9a1372:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Joins</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f1dba132e50>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"75QZiN7GxWcl"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"4Cx-_TA5xxVw"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IFP9OP4fxzGw"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/guitars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/guitarPlayers.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/bands.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/employees.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/salaries.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/deptmanagers.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/titles.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"CPNyqoE8xWcm"},"source":["Read JSONs"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"k9_4mNbqxWcm"},"outputs":[],"source":["guitarsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/guitars.json\")\n","\n","guitaristsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/guitarPlayers.json\")\n","\n","bandsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/bands.json\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1999,"status":"ok","timestamp":1670436771444,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Aww2pe7sxWcm","outputId":"1800739a-870e-40bc-be06-67bb8b95d637"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+---+------+------------+\n","|          guitarType| id|  make|       model|\n","+--------------------+---+------+------------+\n","|Electric double-n...|  0|Gibson|    EDS-1275|\n","|            Electric|  5|Fender|Stratocaster|\n","|            Electric|  1|Gibson|          SG|\n","+--------------------+---+------+------------+\n","only showing top 3 rows\n","\n","+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   0|    [0]|  0|  Jimmy Page|\n","|   1|    [1]|  1| Angus Young|\n","|   2| [1, 5]|  2|Eric Clapton|\n","+----+-------+---+------------+\n","only showing top 3 rows\n","\n","+-----------+---+------------+----+\n","|   hometown| id|        name|year|\n","+-----------+---+------------+----+\n","|     Sydney|  1|       AC/DC|1973|\n","|     London|  0|Led Zeppelin|1968|\n","|Los Angeles|  3|   Metallica|1981|\n","+-----------+---+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitarsDF.show(3)\n","guitaristsDF.show(3)\n","bandsDF.show(3)\n"]},{"cell_type":"markdown","metadata":{"id":"opA3NFOfxWcm"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"GmN9q_ltxWcm"},"source":["Inner Join =  everything from BOTH DFs for which there is a row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1263,"status":"ok","timestamp":1670436775322,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"voyAapmexWcm","outputId":"0b70a609-66df-47ee-8381-a997f9857e81"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+---+------------+----+\n","|band|guitars| id|        name|   hometown| id|        name|year|\n","+----+-------+---+------------+-----------+---+------------+----+\n","|   1|    [1]|  1| Angus Young|     Sydney|  1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|  0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|  3|   Metallica|1981|\n","+----+-------+---+------------+-----------+---+------------+----+\n","\n"]}],"source":["joinCondition = guitaristsDF.band == bandsDF.id\n","guitaristsBandsDF = guitaristsDF.join(bandsDF, joinCondition, \"inner\")\n","guitaristsBandsDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Ce_yS-kVxWcn"},"outputs":[],"source":["# things to bear in mind\n","# guitaristsBandsDF.select(\"id\", \"band\").show(3) # will crash because there are two columns named \"id\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":914,"status":"ok","timestamp":1670436778566,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ZD_tC8GKxWcn","outputId":"99519fb6-224d-4f93-9150-fb561b40e4d7"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+------+------------+----+\n","|band|guitars| id|        name|   hometown|bandId|    bandName|year|\n","+----+-------+---+------------+-----------+------+------------+----+\n","|   1|    [1]|  1| Angus Young|     Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|     0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|     3|   Metallica|1981|\n","+----+-------+---+------------+-----------+------+------------+----+\n","\n"]}],"source":["# you can rename the column\n","bandsDFMod = bandsDF.withColumnRenamed(\"id\", \"bandId\") \\\n","    .withColumnRenamed(\"name\", \"bandName\")\n","guitaristsBandsDF2 = guitaristsDF.join(bandsDFMod,\n","    guitaristsDF.band == bandsDFMod.bandId, \"inner\").orderBy(\"name\")\n","guitaristsBandsDF2.show(3)\n","\n","# there are other options but it is the best practice if it is possible"]},{"cell_type":"markdown","metadata":{"id":"WyFeqM1yxWcn"},"source":["Left Outer = everything in the inner join + all the rows in the LEFT DF, with nulls in where the data is missing"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":917,"status":"ok","timestamp":1670436780904,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"wRt01JY-xWcn","outputId":"0fd6dff7-42d4-4ae2-febe-f71876426f5f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+--------+------+------------+----+\n","|band|guitars| id|        name|hometown|bandId|    bandName|year|\n","+----+-------+---+------------+--------+------+------------+----+\n","|   1|    [1]|  1| Angus Young|  Sydney|     1|       AC/DC|1973|\n","|   2| [1, 5]|  2|Eric Clapton|    null|  null|        null|null|\n","|   0|    [0]|  0|  Jimmy Page|  London|     0|Led Zeppelin|1968|\n","+----+-------+---+------------+--------+------+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["joinCondition2 = guitaristsDF.band == bandsDFMod.bandId\n","guitaristsDF.join(bandsDFMod, joinCondition2, \"left_outer\").orderBy(\"name\").show(3)\n","# see nulls on Eric Calpton"]},{"cell_type":"markdown","metadata":{"id":"jx7loGmOxWcn"},"source":["  Right Outer = everything in the inner join + all the rows in the RIGHT DF, with nulls in where the data is missing\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":487,"status":"ok","timestamp":1670436782239,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"H0t5qxmDxWcn","outputId":"c268f3f6-19c1-4aff-f182-f0cd80b040d3"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+----+-----------+---------+------+------------+----+\n","|band|guitars|  id|       name| hometown|bandId|    bandName|year|\n","+----+-------+----+-----------+---------+------+------------+----+\n","|null|   null|null|       null|Liverpool|     4| The Beatles|1960|\n","|   1|    [1]|   1|Angus Young|   Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|   0| Jimmy Page|   London|     0|Led Zeppelin|1968|\n","+----+-------+----+-----------+---------+------+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"right_outer\").orderBy(\"name\").show(3)\n","# see nulls for The Beatles"]},{"cell_type":"markdown","metadata":{"id":"-YP3UfTaxWco"},"source":[" Outer Join = everything in the inner join + all the rows in BOTH DFs, with nulls in where the data is missing\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1614,"status":"ok","timestamp":1670436785314,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"08o47mejxWco","outputId":"37cee475-2da2-4d72-aa7b-c818c4972e0a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+----+------------+---------+------+-----------+----+\n","|band|guitars|  id|        name| hometown|bandId|   bandName|year|\n","+----+-------+----+------------+---------+------+-----------+----+\n","|null|   null|null|        null|Liverpool|     4|The Beatles|1960|\n","|   1|    [1]|   1| Angus Young|   Sydney|     1|      AC/DC|1973|\n","|   2| [1, 5]|   2|Eric Clapton|     null|  null|       null|null|\n","+----+-------+----+------------+---------+------+-----------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"outer\").orderBy(\"name\").show(3)\n","# see nulls for The Beatles and Eric Clapton"]},{"cell_type":"markdown","metadata":{"id":"tMlhMqhExWco"},"source":["  Semi-joins = everything in the LEFT DF for which there is a row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":481,"status":"ok","timestamp":1670436786026,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XwLKWOASxWco","outputId":"faa1b781-84a6-4fab-b2b7-32688ed1c65a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   1|    [1]|  1| Angus Young|\n","|   0|    [0]|  0|  Jimmy Page|\n","|   3|    [3]|  3|Kirk Hammett|\n","+----+-------+---+------------+\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"left_semi\").orderBy(\"name\").show(3)\n"]},{"cell_type":"markdown","metadata":{"id":"aiNQKxV5xWco"},"source":["Anti-joins = everything in the LEFT DF for which there is NO row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":736,"status":"ok","timestamp":1670436787511,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"9jYq8v1exWco","outputId":"de110140-c691-4043-c240-e17af16da907"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   2| [1, 5]|  2|Eric Clapton|\n","+----+-------+---+------------+\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"anti\").orderBy(\"name\").show(3)"]},{"cell_type":"markdown","metadata":{"id":"J0Gz1XFuxWcp"},"source":["Cross-join = takes every instance in the LEFT DF and create a new one for every intance in the right DF (not very common)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":896,"status":"ok","timestamp":1670436789370,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"wfrjSgZlxWcp","outputId":"2cb1037a-b7f7-4342-fc83-12a51de0476a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+------+------------+----+\n","|band|guitars| id|        name|   hometown|bandId|    bandName|year|\n","+----+-------+---+------------+-----------+------+------------+----+\n","|   0|    [0]|  0|  Jimmy Page|     Sydney|     1|       AC/DC|1973|\n","|   1|    [1]|  1| Angus Young|     Sydney|     1|       AC/DC|1973|\n","|   2| [1, 5]|  2|Eric Clapton|     Sydney|     1|       AC/DC|1973|\n","|   3|    [3]|  3|Kirk Hammett|     Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|     0|Led Zeppelin|1968|\n","|   1|    [1]|  1| Angus Young|     London|     0|Led Zeppelin|1968|\n","|   2| [1, 5]|  2|Eric Clapton|     London|     0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|     London|     0|Led Zeppelin|1968|\n","|   0|    [0]|  0|  Jimmy Page|Los Angeles|     3|   Metallica|1981|\n","|   1|    [1]|  1| Angus Young|Los Angeles|     3|   Metallica|1981|\n","|   2| [1, 5]|  2|Eric Clapton|Los Angeles|     3|   Metallica|1981|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|     3|   Metallica|1981|\n","|   0|    [0]|  0|  Jimmy Page|  Liverpool|     4| The Beatles|1960|\n","|   1|    [1]|  1| Angus Young|  Liverpool|     4| The Beatles|1960|\n","|   2| [1, 5]|  2|Eric Clapton|  Liverpool|     4| The Beatles|1960|\n","|   3|    [3]|  3|Kirk Hammett|  Liverpool|     4| The Beatles|1960|\n","+----+-------+---+------------+-----------+------+------------+----+\n","\n"]}],"source":["guitaristsDF.crossJoin(bandsDFMod).show(20)"]},{"cell_type":"markdown","metadata":{"id":"h85qdkxcxWcp"},"source":["*Union Join is just an Union (note it only works if both DFs have the same schema)"]},{"cell_type":"markdown","metadata":{"id":"SB3QfnzsxWcp"},"source":["## Exercises\n","1. Read employees.csv, deptmanagers.csv, salaries.csv and titles.csv to a DFs.\n","2. Show all employees and their max salary (there can be different salaries registered for the same employee)\n","3. Show all employees who were never managers. Check it by getting all the managers and checking that they are not in the table\n","4. Find the job titles of the best paid 10 employees in the company (note that there can be different titles registered for the same employee)"]},{"cell_type":"markdown","metadata":{"id":"QqKb-sgFxWcp"},"source":["Exercise 1"]},{"cell_type":"markdown","metadata":{"id":"PYtLrSQ2xWcq"},"source":["Exercise 2"]},{"cell_type":"markdown","metadata":{"id":"RntnapY5xWcq"},"source":["Exercise 3"]},{"cell_type":"markdown","metadata":{"id":"LSokNABIxWcr"},"source":["Exercise 4"]}],"metadata":{"colab":{"collapsed_sections":["opA3NFOfxWcm","SB3QfnzsxWcp"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/05.WindowPartitioning_UDFs.ipynb b/PROFESORES/PYSPARK/notebooks/05.WindowPartitioning_UDFs.ipynb
new file mode 100644
index 000000000..e1ac07736
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks/05.WindowPartitioning_UDFs.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"BNkZfzfxGZ0z"},"source":["# Windows Partitioning"]},{"cell_type":"markdown","metadata":{"id":"AQieQ5pkGfNm"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HelxRmCPGpql"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9Cn3c-ywGtDV"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":39,"status":"ok","timestamp":1670442099775,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"D95sNcJfGvyV","outputId":"2653eff1-49ca-4320-9751-cf5ad29bdc3a"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 1 root root      4096 Dec  6 14:35 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qtBMGi7EGvwN"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6JO331NrGvtt"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"markdown","metadata":{"id":"02epIDkbG24d"},"source":["Defining the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qmON5zHJG4-m"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"WgvNJQOAGZ00"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9098,"status":"ok","timestamp":1670442128571,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"siaPZq4XGZ00","outputId":"525e7ed9-c4cd-4387-cf51-fc2a6069f972"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Window Partitioning\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2863,"status":"ok","timestamp":1670442153333,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nsBkpLh6GZ01","outputId":"7c3c6f13-7451-4a44-91e3-305c9978419c"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://cf1241b3ab55:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Windows Partitioning</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f2608e3d400>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Bqu4fQnNGZ02"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-9DDmYQKGZ02"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"NYrtXWZIHKMt"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2lkKBm3CHL-l"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/characters.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/employees.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/salaries.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/deptmanagers.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/titles.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"sxWVtHu5GZ02"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{},"source":["### Window Partitioning"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JWgnuYZ8GZ02"},"outputs":[],"source":["employeesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/employees.csv\")\n","salariesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/salaries.csv\")\n","deptManagersDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/deptmanagers.csv\")\n","titlesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/titles.csv\")\n","charactersDF = spark.read.option(\"inferSchema\", \"true\").option(\"header\", \"true\").csv(\"/dataset/characters.csv\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":673,"status":"ok","timestamp":1670442251373,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"m26N92p-GZ02","outputId":"d0ee0fc4-6213-43ff-dc9e-1557814b990b"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+--------+----------+----------+\n","|emp_no|   title| from_date|   to_date|\n","+------+--------+----------+----------+\n","| 10010|Engineer|1996-11-24|9999-01-01|\n","| 10020|Engineer|1997-12-30|9999-01-01|\n","+------+--------+----------+----------+\n","only showing top 2 rows\n","\n"]}],"source":["titlesDF.show(2)"]},{"cell_type":"markdown","metadata":{"id":"O9KiG0PHGZ03"},"source":["Get the last title for the employees"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1183,"status":"ok","timestamp":1670442253888,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"8W89HFrvGZ03","outputId":"06339219-7d05-4739-9889-b26b4d3cc171"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+----------+\n","|emp_no|          title| from_date|   to_date|\n","+------+---------------+----------+----------+\n","| 10040|       Engineer|1993-02-14|1999-02-14|\n","| 10040|Senior Engineer|1999-02-14|9999-01-01|\n","+------+---------------+----------+----------+\n","\n"]}],"source":["titlesDF.filter(col(\"emp_no\") == 10040).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"vJzQSe5pGZ03"},"outputs":[],"source":["# import library\n","from pyspark.sql.window import Window"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3221,"status":"ok","timestamp":1670442257825,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"smIYb3ogGZ03","outputId":"1ad92b06-8204-49f6-ac3d-48eaf05e6e84"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+\n","|emp_no|          title|   to_date|\n","+------+---------------+----------+\n","| 10040|Senior Engineer|9999-01-01|\n","+------+---------------+----------+\n","\n"]}],"source":["# get last title by date for each employee (similar to previous exercise in Joins)\n","byEmployee = Window.partitionBy(\"emp_no\").orderBy(col(\"to_date\").desc())\n","mostRecentJobTitlesDF = titlesDF.withColumn(\"datesOrder\", row_number().over(byEmployee)) \\\n","    .filter(col(\"datesOrder\") == 1) \\\n","    .select(\"emp_no\", \"title\", \"to_date\")\n","\n","mostRecentJobTitlesDF.filter(col(\"emp_no\") == 10040).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2fcF-z4WGZ03"},"outputs":[],"source":["# for the previous example we saw in joins, if we use windogs partitioning we do not need to do the previous step (filtering max date and then do the join over the same table)"]},{"cell_type":"markdown","metadata":{"id":"Y2uP3Mo-GZ04"},"source":["Get the max salaries (three for example) for job title"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5092,"status":"ok","timestamp":1670442263272,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"LUTvHq4EGZ04","outputId":"6d56f043-b362-44d9-af50-3a990e6b279f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+\n","|salary|          title|\n","+------+---------------+\n","| 72668|Senior Engineer|\n","+------+---------------+\n","\n","+------+---------------+\n","|salary|          title|\n","+------+---------------+\n","| 80324|       Engineer|\n","| 47017|       Engineer|\n","| 88806|Senior Engineer|\n","+------+---------------+\n","only showing top 3 rows\n","\n"]}],"source":["# we need salary data with title data joined first\n","bestPaidPerTitlerawDF = salariesDF.withColumn(\"salary\", col(\"salary\").cast(\"long\")) \\\n","    .join(mostRecentJobTitlesDF, (salariesDF.emp_no == mostRecentJobTitlesDF.emp_no) & (salariesDF.to_date == mostRecentJobTitlesDF.to_date)).drop(\"emp_no\", \"from_date\", \"to_date\")\n","\n","bestPaidPerTitlerawDF.filter(salariesDF.emp_no == 10040).show()\n","bestPaidPerTitlerawDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4259,"status":"ok","timestamp":1670442267529,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Y7-8h-0nGZ04","outputId":"6639ac14-ee81-4949-cfb4-e9a2c05737f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+------------------+-----------+\n","|salary|             title|rank_salary|\n","+------+------------------+-----------+\n","|101622|Assistant Engineer|          1|\n","| 92674|Assistant Engineer|          2|\n","| 92034|Assistant Engineer|          3|\n","|130939|          Engineer|          1|\n","|121819|          Engineer|          2|\n","|120417|          Engineer|          3|\n","+------+------------------+-----------+\n","only showing top 6 rows\n","\n"]}],"source":["# now we apply the window partitioning\n","byTitle = Window.partitionBy(\"title\").orderBy(col(\"salary\").desc())\n","\n","bestPaidPerTitleDF = bestPaidPerTitlerawDF.withColumn(\"rank_salary\", row_number().over(byTitle)).filter(col(\"rank_salary\") <= 3)\n","\n","bestPaidPerTitleDF.show(6)"]},{"cell_type":"markdown","metadata":{},"source":["### UDFs"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["charactersDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["# we define a function to remove the BBY from the birth_year\n","year = udf(lambda s: s[:-3])\n","\n","charactersDF.withColumn(\"year\", year(col(\"birth_year\"))).show(3)"]},{"cell_type":"markdown","metadata":{"id":"IYWyYjXPGZ04"},"source":["## Exercises Window Partitioning\n","1) Load characters.csv to a DataFrame. Then, get the (two) tallest characters per species and per homeworld planet. Select the name, height, and species/homeworld in their case.\n","2) Get the height difference for each character with respect to the smallest one in the same homeworld."]},{"cell_type":"markdown","metadata":{"id":"ndRe6jVQGZ04"},"source":["Exercise 1"]},{"cell_type":"markdown","metadata":{"id":"7uz7mRJwGZ05"},"source":["Exercise 2"]},{"cell_type":"markdown","metadata":{},"source":["## Exercises UDFs\n","1. Choose one of the DFs we have, define two UDFs of your own, and apply them (with a withColumn) on the DF. Show the results "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"EdA3Q2K3GZ05"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/06.Partitioning.ipynb b/PROFESORES/PYSPARK/notebooks/06.Partitioning.ipynb
new file mode 100644
index 000000000..22a1d07b7
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+{"cells":[{"cell_type":"markdown","metadata":{"id":"BNkZfzfxGZ0z"},"source":["# Partitioning"]},{"cell_type":"markdown","metadata":{"id":"AQieQ5pkGfNm"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HelxRmCPGpql"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":57405,"status":"ok","timestamp":1670666888439,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"9Cn3c-ywGtDV"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27,"status":"ok","timestamp":1670666888440,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"D95sNcJfGvyV","outputId":"7b823201-ab1c-4452-d091-bb995fd23e6e"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  8 14:36 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":2865,"status":"ok","timestamp":1670666891295,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qtBMGi7EGvwN"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":4334,"status":"ok","timestamp":1670666895619,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"6JO331NrGvtt"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"markdown","metadata":{"id":"02epIDkbG24d"},"source":["Defining the environment"]},{"cell_type":"code","execution_count":5,"metadata":{"executionInfo":{"elapsed":19,"status":"ok","timestamp":1670666895620,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qmON5zHJG4-m"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"WgvNJQOAGZ00"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":6346,"status":"ok","timestamp":1670666901951,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"siaPZq4XGZ00","outputId":"517fa3d4-7f52-4b7b-f33a-b27ecef9a830"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Window Partitioning Exercises\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2348,"status":"ok","timestamp":1670666904291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nsBkpLh6GZ01","outputId":"8b85e798-6e00-4c6f-c200-9f257dec4f76"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://771c95d68c87:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Window Partitioning Exercises</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f67255ec970>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":8,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1670666904291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Bqu4fQnNGZ02"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1670666904292,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-9DDmYQKGZ02"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"NYrtXWZIHKMt"},"source":["Download datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2526,"status":"ok","timestamp":1670666906811,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2lkKBm3CHL-l","outputId":"df5bac53-e576-4134-8560-d1fe2b81e002"},"outputs":[{"name":"stdout","output_type":"stream","text":["bank.csv  characters.csv  planets.csv  species.csv  vehicles.csv\n"]}],"source":["!mkdir -p /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/bank.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/vehicles.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/characters.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/planets.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/species.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"d1tEe9JCILAe"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"HWlZ5puMLqvX"},"source":["### Patitioning"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":8328,"status":"ok","timestamp":1670666915136,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"B10rScPeIOCn"},"outputs":[],"source":["# Load characters CSV\n","charactersDF = spark.read.option(\"inferSchema\", \"true\").option(\"header\", \"true\").csv(\"/dataset/characters.csv\")"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1489,"status":"ok","timestamp":1670666916608,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"_z47cLpVJQgV","outputId":"3df2be0d-f74d-4118-8b7a-e82fc900c949"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|   87|\n","+-----------+-----+\n","\n"]}],"source":["# Show how the data is partitioned now\n","charactersDF \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"count\").desc()) \\\n","  .show()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1525,"status":"ok","timestamp":1670666918132,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"NGfdi2WhJQeH","outputId":"4c872e9c-45ef-47e1-c092-87cd3e206764"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|    4|\n","|          1|    4|\n","|          2|    4|\n","|          3|    4|\n","|          4|    4|\n","|          5|    4|\n","|          6|    4|\n","|          7|    4|\n","|          8|    4|\n","|          9|    5|\n","|         10|    5|\n","|         11|    5|\n","|         12|    5|\n","|         13|    5|\n","|         14|    5|\n","|         15|    5|\n","|         16|    4|\n","|         17|    4|\n","|         18|    4|\n","|         19|    4|\n","+-----------+-----+\n","\n"]}],"source":["# We will now repartition the DF to 20 partitions\n","charactersRepDF = charactersDF.repartition(20)\n","charactersRepDF \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"partitionId\")) \\\n","  .show()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":706,"status":"ok","timestamp":1670666918833,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"sEwePVEfJvMN","outputId":"ab472f88-1eb1-4d87-bdcc-f4cbf77268f9"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|   17|\n","|          1|   18|\n","|          2|   18|\n","|          3|   17|\n","|          4|   17|\n","+-----------+-----+\n","\n"]}],"source":["# Now we can use coalesce to reduce the number of partitions\n","charactersRepDF \\\n","  .coalesce(5) \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"partitionId\")) \\\n","  .show()"]},{"cell_type":"markdown","metadata":{"id":"sxWVtHu5GZ02"},"source":["## Partitioning Exercises"]},{"cell_type":"markdown","metadata":{"id":"rZt5nAVLRmeF"},"source":["1. Try repartition/colaesce yourself"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DF-WHVfjRq49"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks/07.TaxiExercise.ipynb b/PROFESORES/PYSPARK/notebooks/07.TaxiExercise.ipynb
new file mode 100644
index 000000000..d33f3eb2a
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+++ b/PROFESORES/PYSPARK/notebooks/07.TaxiExercise.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"P0VSNugGxYj4"},"source":["# Taxi Exercise"]},{"cell_type":"markdown","metadata":{"id":"fhqHAQWiyLZA"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"O-nP6sc6xgbg"},"source":["Install Java and Spark in VM"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":73671,"status":"ok","timestamp":1675880362086,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JRywFs7DxgOQ"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":21,"metadata":{"executionInfo":{"elapsed":6533,"status":"ok","timestamp":1675880368614,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"w8zwZ4GWxtMI"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":22,"metadata":{"executionInfo":{"elapsed":4962,"status":"ok","timestamp":1675880373536,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"PAG_MdchxuxI"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":23,"metadata":{"executionInfo":{"elapsed":10,"status":"ok","timestamp":1675880373536,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"BM0GAnLCxwkP"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"6AnypwdzxYj7"},"source":["Start Spark Session \n","\n","---"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"CIJ4mkL-xYj7","outputId":"b1103e23-09a8-4c4e-d4ac-11cc01fd3305"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Joins\") \\\n","        .master(\"local[*]\") \\\n","        .config(\"spark.ui.port\", \"4500\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"L2BsUYftxYj8","outputId":"60dfc7c8-1e9d-4180-fc37-025c710d22fc"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://2b7d25804c6b:4500\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Joins</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7fdf925bff10>"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":26,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"R6uQC9cJxYj9"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"code","execution_count":27,"metadata":{"executionInfo":{"elapsed":1424,"status":"ok","timestamp":1675880374953,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"VegBGDs3yIIH"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/taxi_data.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/taxi_zones.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"Jsnl4Q2NxYj9"},"source":["Load the datasets"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6842,"status":"ok","timestamp":1675880381794,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"KBbu7DMqxYj9","outputId":"39d9a256-0a4f-407a-de0b-62a7ff428d3a"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- VendorID: integer (nullable = true)\n"," |-- tpep_pickup_datetime: timestamp (nullable = true)\n"," |-- tpep_dropoff_datetime: timestamp (nullable = true)\n"," |-- passenger_count: integer (nullable = true)\n"," |-- trip_distance: double (nullable = true)\n"," |-- RatecodeID: integer (nullable = true)\n"," |-- store_and_fwd_flag: string (nullable = true)\n"," |-- PULocationID: integer (nullable = true)\n"," |-- DOLocationID: integer (nullable = true)\n"," |-- payment_type: integer (nullable = true)\n"," |-- fare_amount: double (nullable = true)\n"," |-- extra: double (nullable = true)\n"," |-- mta_tax: double (nullable = true)\n"," |-- tip_amount: double (nullable = true)\n"," |-- tolls_amount: double (nullable = true)\n"," |-- improvement_surcharge: double (nullable = true)\n"," |-- total_amount: double (nullable = true)\n","\n"]}],"source":["taxiDF = spark.read \\\n","    .option(\"header\", \"true\") \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .csv(\"/dataset/taxi_data.csv\")\n","\n","taxiDF.printSchema()"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":347,"status":"ok","timestamp":1675880382138,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"yOnQ1DjhxYj-","outputId":"aa7807d4-9b62-4d23-d164-30c0c49ec496"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","|VendorID|tpep_pickup_datetime|tpep_dropoff_datetime|passenger_count|trip_distance|RatecodeID|store_and_fwd_flag|PULocationID|DOLocationID|payment_type|fare_amount|extra|mta_tax|tip_amount|tolls_amount|improvement_surcharge|total_amount|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","|       2| 2018-01-24 23:02:56|  2018-01-24 23:10:58|              1|         2.02|         1|                 N|          48|         107|           2|        8.5|  0.5|    0.5|       0.0|         0.0|                  0.3|         9.8|\n","|       2| 2018-01-24 23:57:13|  2018-01-25 00:21:17|              1|        10.13|         1|                 N|          79|         244|           2|       28.5|  0.5|    0.5|       0.0|         0.0|                  0.3|        29.8|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","only showing top 2 rows\n","\n"]}],"source":["taxiDF.show(2)"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":576,"status":"ok","timestamp":1675880382711,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"UtysOEnoxYj-","outputId":"13f2b048-5823-4471-ba4a-9416446e48a9"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- LocationID: integer (nullable = true)\n"," |-- Borough: string (nullable = true)\n"," |-- Zone: string (nullable = true)\n"," |-- service_zone: string (nullable = true)\n","\n"]}],"source":["taxiZonesDF = spark.read \\\n","    .option(\"header\", \"true\") \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .csv(\"/dataset/taxi_zones.csv\")\n","\n","taxiZonesDF.printSchema()"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":966,"status":"ok","timestamp":1675880383675,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qCYJZpiXxYj-","outputId":"10842c3b-b922-4332-84be-d942246b01a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+-------+--------------------+------------+\n","|LocationID|Borough|                Zone|service_zone|\n","+----------+-------+--------------------+------------+\n","|         1|    EWR|      Newark Airport|         EWR|\n","|         2| Queens|         Jamaica Bay|   Boro Zone|\n","|         3|  Bronx|Allerton/Pelham G...|   Boro Zone|\n","+----------+-------+--------------------+------------+\n","only showing top 3 rows\n","\n"]}],"source":["taxiZonesDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"EjGzj1Rsx3Ns"},"source":["## Exercise"]},{"cell_type":"markdown","metadata":{"id":"JOH-iRShx1cw"},"source":["In this exercise we will be working with two DFs. The first one, taxiDf holds info about taxi rides per 2018 year. And the second, taxiZonesDF, have info about the Zones. Please load the DFs and print the schemas and two (or more) rows for more detailed info.\n","\n","The aim of the exercise is to answer the questions listed below."]},{"cell_type":"markdown","metadata":{"id":"tQaqDr3hxYj_"},"source":["**Questions:**\n","\n"," 1. Which zones have the most pickups/dropoffs overall? Note there are many PULocationIDs per Zone?\n"," 2. What are the peak hours for taxi?\n"," 3. How are the trips distributed by length? Show stats like mean, max, min, etc. \n","    Then get the total trips for less/more than 30 km. Why are people taking the cab? For long or short trips?\n","    You can also try the same with different distances. Which is the expected value for threshold is we want to obtain more or less the same trips in long/short counting?\n"," 4. What are the peak hours for long/short trips?\n"," 5. What are the top 3 pickup/dropoff zones for long/short trips?\n"," 6. How are people paying for the ride, on long/short trips? Hint: the information about how good is the payment is in RatecodeID column.\n"," 7. How is the payment type (RatecodeId) evolving with time (in days)? Hint: use the column with pickup time info.\n","    Get the same info but with avg of ratecode and total trips per day."]},{"cell_type":"markdown","metadata":{"id":"NvllEugwxYj_"},"source":["### Question 1"]},{"cell_type":"markdown","metadata":{"id":"-um1G1zKxYkA"},"source":["### Question 2"]},{"cell_type":"markdown","metadata":{"id":"Hn_hf8VOxYkB"},"source":["### Question 3"]},{"cell_type":"markdown","metadata":{"id":"ty8IZ-C6xYkC"},"source":["### Question 4"]},{"cell_type":"markdown","metadata":{"id":"ChmRlWgIxYkD"},"source":["### Question 5"]},{"cell_type":"markdown","metadata":{"id":"vEGDhOIpxYkE"},"source":["### Question 6"]},{"cell_type":"markdown","metadata":{"id":"tLf0Rms-xYkF"},"source":["### Question 7"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/01.DataFramesBascis_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/01.DataFramesBascis_solved.ipynb
new file mode 100644
index 000000000..0dec7117d
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/01.DataFramesBascis_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"u3WKxUMvQ9JW"},"source":["# DataFrames Basics"]},{"cell_type":"markdown","metadata":{"id":"IBsRl4yARA3x"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"0KID1ObYRDA4"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":105079,"status":"ok","timestamp":1670605221056,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-9EjQzqhRJSZ"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1670605221057,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"E4s6wcUsSPHQ","outputId":"feab5ebb-a7f9-4078-c85d-e112383efe5b"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  7 14:41 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3869,"status":"ok","timestamp":1670605224920,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"hSA_T2q7SEt_"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":4427,"status":"ok","timestamp":1670605229334,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"HpKEfJTeii2Y"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17123,"status":"ok","timestamp":1670605246445,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zwH-zC17SGnP","outputId":"1cd82f81-01c3-4283-ebdb-bba0318a4b52"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[K     |████████████████████████████████| 200 kB 6.8 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n"]}],"source":["\n","!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"y1tk452JRjuY"},"source":["Define the environment"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":31,"status":"ok","timestamp":1670605246446,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vrMxCiuZRl7h"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"vk_3rL02Q9JZ"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":11208,"status":"ok","timestamp":1670605257627,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-HtQz6mfQ9JZ","outputId":"b1ed7644-4b47-49f4-89ca-310a9c173e65"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"DataFrames Basics\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2047,"status":"ok","timestamp":1670605259667,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"DrOjmfL9Q9Ja","outputId":"3a4dba91-ad21-4c19-8034-7526d4e19811"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://b9dcd8c91fa1:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>DataFrames Basics</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f2b45206ca0>"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670605259668,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"IBZ8ufPAQ9Jb"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670605259668,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nJ-cdrAlQ9Jb"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"AIP7U3YYTDbw"},"source":["Download datasets"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":2655,"status":"ok","timestamp":1670605262320,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"d63cazZLTKTv"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/cars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/bank.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/vehicles.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1670605262320,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ml1O2OiQU6ah","outputId":"ad13f4aa-4fe6-47d7-a4c0-b9c210432a75"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 1784\n","-rw-r--r-- 1 root root  461474 Dec  9 17:01 bank.csv\n","-rw-r--r-- 1 root root   74910 Dec  9 17:00 cars.json\n","-rw-r--r-- 1 root root 1274347 Dec  9 17:01 movies.json\n","-rw-r--r-- 1 root root    4370 Dec  9 17:01 vehicles.csv\n"]}],"source":["ls -l /dataset"]},{"cell_type":"markdown","metadata":{"id":"94aRTBiPQ9Jc"},"source":["## Examples"]},{"cell_type":"code","execution_count":14,"metadata":{"executionInfo":{"elapsed":593,"status":"ok","timestamp":1670605328886,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XxXiDT4XUgjl"},"outputs":[],"source":["from pyspark.sql.types import Row\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"DnCG9XHsTUfe"},"source":["Read directly from JSON file to a DF"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":1409,"status":"ok","timestamp":1670605345988,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"iBWBcsLDTYuF"},"outputs":[],"source":["carsDF = spark.read.option(\"inferSchema\", True).json(\"/dataset/cars.json\") # inferSchema requires one extra pass over the data\n","\n","# if None is set, it uses de default value (default = False) you can also pass the schema manually"]},{"cell_type":"markdown","metadata":{"id":"beN35oUrUo4c"},"source":["Read directly from csv"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1488,"status":"ok","timestamp":1670605379551,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"xaxDO13vUlSs","outputId":"117625e7-ad3e-47a3-f305-e1208b82faa8"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","|age|       job|marital|education|default|balance|housing|loan| contact|day|month|duration|campaign|pdays|previous|poutcome|  y|\n","+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","| 30|unemployed|married|  primary|     no|   1787|     no|  no|cellular| 19|  oct|      79|       1|   -1|       0| unknown| no|\n","| 33|  services|married|secondary|     no|   4789|    yes| yes|cellular| 11|  may|     220|       1|  339|       4| failure| no|\n","| 35|management| single| tertiary|     no|   1350|    yes|  no|cellular| 16|  apr|     185|       1|  330|       1| failure| no|\n","+---+----------+-------+---------+-------+-------+-------+----+--------+---+-----+--------+--------+-----+--------+--------+---+\n","only showing top 3 rows\n","\n"]}],"source":["bankDF = spark.read.option(\"header\", \"true\").option(\"delimiter\", \";\").csv(\"/dataset/bank.csv\")\n","bankDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"OOt52pbaQ9Jc"},"source":["Showing a DF and print schema"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":494,"status":"ok","timestamp":1670580334437,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"PmmsrRxaQ9Jd","outputId":"7016f8d3-376a-4ad3-b98e-2e5a0ce3e5aa"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 2 rows\n","\n","root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Cylinders: long (nullable = true)\n"," |-- Displacement: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight_in_lbs: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["carsDF.show(2)\n","carsDF.printSchema()"]},{"cell_type":"markdown","metadata":{"id":"ij4TDMZ0lkBZ"},"source":["Get Rows"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":614,"status":"ok","timestamp":1670605438909,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SB06W84wlnlY","outputId":"11894b33-d726-4577-ae57-4c0312429d5d"},"outputs":[{"data":{"text/plain":["[Row(Acceleration=12.0, Cylinders=8, Displacement=307.0, Horsepower=130, Miles_per_Gallon=18.0, Name='chevrolet chevelle malibu', Origin='USA', Weight_in_lbs=3504, Year='1970-01-01'),\n"," Row(Acceleration=11.5, Cylinders=8, Displacement=350.0, Horsepower=165, Miles_per_Gallon=15.0, Name='buick skylark 320', Origin='USA', Weight_in_lbs=3693, Year='1970-01-01')]"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["carsDF.take(2)"]},{"cell_type":"markdown","metadata":{"id":"Z89eHF1aQ9Jd"},"source":["Count"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1183,"status":"ok","timestamp":1670605451441,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"rtFilGlZWGyo","outputId":"3dad6a3c-7e6f-4d92-f7ed-5b9c049eb025"},"outputs":[{"data":{"text/plain":["406"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["carsDF.count()"]},{"cell_type":"markdown","metadata":{"id":"akmA70EPQ9Jd"},"source":["Schema"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670580335852,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Rp6hKanzQ9Je","outputId":"e57a56d7-fdb3-4007-8d30-c6a4d3d9de10"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pyspark.sql.types.StructType'>\n","StructType([StructField('Acceleration', DoubleType(), True), StructField('Cylinders', LongType(), True), StructField('Displacement', DoubleType(), True), StructField('Horsepower', LongType(), True), StructField('Miles_per_Gallon', DoubleType(), True), StructField('Name', StringType(), True), StructField('Origin', StringType(), True), StructField('Weight_in_lbs', LongType(), True), StructField('Year', StringType(), True)])\n"]}],"source":["# obtain a schema\n","carsSchema = carsDF.schema\n","print(type(carsSchema))\n","print(carsSchema)"]},{"cell_type":"markdown","metadata":{"id":"v_XS0vB0Q9Je"},"source":["Custom Schemas"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":256,"status":"ok","timestamp":1670605490627,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ekQkJLT8Q9Je"},"outputs":[],"source":["example = spark.sparkContext.parallelize([(\"chevrolet chevelle malibu\",18,\"1970-01-01\",\"USA\"),\n","    (\"buick skylark 320\",15,\"1970-01-01\",\"USA\")])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":387,"status":"ok","timestamp":1670580336237,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nUzjX4kTQ9Je","outputId":"915707fc-a31f-4cc1-f7dd-a8ee013e82a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- _1: string (nullable = true)\n"," |-- _2: long (nullable = true)\n"," |-- _3: string (nullable = true)\n"," |-- _4: string (nullable = true)\n","\n"]}],"source":["exampleDF = spark.createDataFrame(example)\n","exampleDF.printSchema()"]},{"cell_type":"markdown","metadata":{"id":"GeTtjRirQ9Je"},"source":["With columns names"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"uhY-f3j1Q9Jf"},"outputs":[],"source":["names = list([\"name\", \"weight\", \"date\", \"country\"])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1670580336237,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nqxqPyr1Q9Jf","outputId":"60ef9d54-9365-4a2a-8ee7-c96b08cece92"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- weight: long (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example2DF = example.toDF(names)\n","example2DF.printSchema()"]},{"cell_type":"code","execution_count":21,"metadata":{"executionInfo":{"elapsed":341,"status":"ok","timestamp":1670605542291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"toUIbosSQ9Jf"},"outputs":[],"source":["# importing sql types\n","from pyspark.sql.types import *"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"KZNfLhFWQ9Jf"},"outputs":[],"source":["# custom schema\n","customSchema = StructType([ \\\n","    StructField('name', StringType(), True), \\\n","    StructField('weight', StringType(), True), \\\n","    StructField('date', StringType(), True), \\\n","    StructField('country', StringType(), True)])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1670580336238,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"x63bbTDYQ9Jf","outputId":"ac14e809-6a0a-4b2c-de40-bc471939d3f0"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- weight: string (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example3DF = spark.createDataFrame(example, customSchema)\n","example3DF.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1670580336238,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eRiqa-G5Q9Jf","outputId":"6b62a663-7334-4711-a716-898ce9f718af"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------------+------+----------+-------+\n","|name                     |weight|date      |country|\n","+-------------------------+------+----------+-------+\n","|chevrolet chevelle malibu|18    |1970-01-01|USA    |\n","|buick skylark 320        |15    |1970-01-01|USA    |\n","+-------------------------+------+----------+-------+\n","\n"]}],"source":["example3DF.show(2, False)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"M3qToymLQ9Jg"},"outputs":[],"source":["# we can also specify schema with DDL (Data Definition Language)\n","customSchema2 = \"`name` STRING NOT NULL, `weight` INT, `date` STRING, `country` STRING\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670580336701,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"7k9X1gSSQ9Jg","outputId":"70a855ab-0961-43a9-8f48-9f04cfb757b3"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = false)\n"," |-- weight: integer (nullable = true)\n"," |-- date: string (nullable = true)\n"," |-- country: string (nullable = true)\n","\n"]}],"source":["example4DF = spark.createDataFrame(example, customSchema2)\n","example4DF.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670580336701,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"E5rayh3uQ9Jg","outputId":"0864a25e-c98f-4438-9bef-859ca9b2384c"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'int'>\n","<class 'str'>\n"]}],"source":["print(type(example2DF.collect()[0][\"weight\"]))\n","print(type(example3DF.collect()[0][\"weight\"]))"]},{"cell_type":"markdown","metadata":{"id":"6QnciaoWQ9Jg"},"source":["## Exercises\n","1) Create a manual DF describing smartphones\n","  - maker\n","  - model\n","  - screen dimension\n","  - camera megapixels\n","  \n","2) Read another file from the dataset/ folder, e.g. movies.json\n","  - print its schema\n","  - count the number of rows, call count()\n","\n","3) Take a look to vehicles.csv. Read the file to a DF but this time with your own schema"]},{"cell_type":"markdown","metadata":{"id":"kQR1cduXQ9Jg"},"source":["Exercise 1"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4pqCIeTwQ9Jh"},"outputs":[],"source":["smartphones = spark.sparkContext.parallelize([\n","    (\"Samsung\", \"Galaxy S10\", \"Android\", 12),\n","    (\"Apple\", \"iPhone X\", \"iOS\", 13),\n","    (\"Nokia\", \"3310\", \"THE BEST\", 0)])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2Ngd1MWOQ9Jh"},"outputs":[],"source":["smartphonesDF = smartphones.toDF([\"Make\", \"Model\", \"Platform\", \"CameraMegapixels\"])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":237,"status":"ok","timestamp":1670580337187,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"8XI6GmuJQ9Jh","outputId":"8794a9ae-524c-4195-a71d-352a18c1eaf2"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------+----------+--------+----------------+\n","|   Make|     Model|Platform|CameraMegapixels|\n","+-------+----------+--------+----------------+\n","|Samsung|Galaxy S10| Android|              12|\n","|  Apple|  iPhone X|     iOS|              13|\n","|  Nokia|      3310|THE BEST|               0|\n","+-------+----------+--------+----------------+\n","\n"]}],"source":["smartphonesDF.show()"]},{"cell_type":"markdown","metadata":{"id":"Zmg5kbOpl-s3"},"source":["Exercise 2"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"KX8JcDENQ9Jh"},"outputs":[],"source":["moviesDF = spark.read \\\n","    .format(\"json\") \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .load(\"/dataset/movies.json\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670580338388,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"dpj8cry1Q9Jh","outputId":"7186242b-4080-4bbb-8ee8-812e0d1f43fa"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Creative_Type: string (nullable = true)\n"," |-- Director: string (nullable = true)\n"," |-- Distributor: string (nullable = true)\n"," |-- IMDB_Rating: double (nullable = true)\n"," |-- IMDB_Votes: long (nullable = true)\n"," |-- MPAA_Rating: string (nullable = true)\n"," |-- Major_Genre: string (nullable = true)\n"," |-- Production_Budget: long (nullable = true)\n"," |-- Release_Date: string (nullable = true)\n"," |-- Rotten_Tomatoes_Rating: long (nullable = true)\n"," |-- Running_Time_min: long (nullable = true)\n"," |-- Source: string (nullable = true)\n"," |-- Title: string (nullable = true)\n"," |-- US_DVD_Sales: long (nullable = true)\n"," |-- US_Gross: long (nullable = true)\n"," |-- Worldwide_Gross: long (nullable = true)\n","\n","The Movies DF has 3201 rows\n"]}],"source":["moviesDF.printSchema()\n","print(f\"The Movies DF has {moviesDF.count()} rows\")"]},{"cell_type":"markdown","metadata":{"id":"JAqADV5jW00d"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":375,"status":"ok","timestamp":1670580516328,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"oU8EyulZQ9Jh","outputId":"31de6d21-2295-4f35-90ee-1736d566038a"},"outputs":[{"name":"stdout","output_type":"stream","text":["name,model,manufacturer,cost_in_credits,length,max_atmosphering_speed,crew,passengers,cargo_capacity,consumables,vehicle_class\n","Sand Crawler,Digger Crawler,Corellia Mining Corporation,150000,36.8,30,46,30,50000,2 months,wheeled\n","T-16 skyhopper,T-16 skyhopper,Incom Corporation,14500,10.4,1200,1,1,50,0,repulsorcraft\n","X-34 landspeeder,X-34 landspeeder,SoroSuub Corporation,10550,3.4,250,1,1,5,NA,repulsorcraft\n","TIE/LN starfighter,Twin Ion Engine/Ln Starfighter,Sienar Fleet Systems,NA,6.4,1200,1,0,65,2 days,starfighter\n","Snowspeeder,t-47 airspeeder,Incom corporation,NA,4.5,650,2,0,10,none,airspeeder\n","TIE bomber,TIE/sa bomber,Sienar Fleet Systems,NA,7.8,850,1,0,none,2 days,space/planetary bomber\n","AT-AT,All Terrain Armored Transport,\"Kuat Drive Yards, Imperial Department of Military Research\",NA,20,60,5,40,1000,NA,assault walker\n","AT-ST,All Terrain Scout Transport,\"Kuat Drive Yards, Imperial Department of Military Research\",NA,2,90,2,0,200,none,walker\n","Storm IV Twin-Pod cloud car,Storm IV Twin-Pod,Bespin Motors,75000,7,1500,2,0,10,1 day,repulsorcraft\n"]}],"source":["!head /dataset/vehicles.csv"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":606,"status":"ok","timestamp":1670580981465,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"EtCK7D0yXfbk","outputId":"3aa263d0-e07d-46fe-fce0-53388e0c656f"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- model: string (nullable = true)\n"," |-- manufacturer: string (nullable = true)\n"," |-- cost_in_credits: string (nullable = true)\n"," |-- length: string (nullable = true)\n"," |-- max_atmosphering_speed: string (nullable = true)\n"," |-- crew: integer (nullable = true)\n"," |-- passengers: string (nullable = true)\n"," |-- cargo_capacity: string (nullable = true)\n"," |-- consumables: string (nullable = true)\n"," |-- vehicle_class: string (nullable = true)\n","\n"]}],"source":["vehicles = spark.read.option(\"header\", \"true\").option(\"inferSchema\", \"true\").csv(\"/dataset/vehicles.csv\")\n","vehicles.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"BpNYLQOtW5yR"},"outputs":[],"source":["vehiclesSchema = StructType([StructField('name', StringType(), True), StructField('model', StringType(), True), StructField('manufacturer', StringType(), True), \n","                            StructField('cost_in_credits', LongType(), True), StructField('length', DoubleType(), True), StructField('max_atmosphering_speed', DoubleType(), True), \n","                            StructField('crew', IntegerType(), True), StructField('passengers', IntegerType(), True), \n","                            StructField('cargo_capacity', LongType(), True), StructField('consumables', StringType(), True), StructField('vehicle_class', StringType(), True)])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1670580970691,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"L_UsBd8mYFtl","outputId":"6062d159-b821-4bba-dc3b-94b92286dfa5"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- name: string (nullable = true)\n"," |-- model: string (nullable = true)\n"," |-- manufacturer: string (nullable = true)\n"," |-- cost_in_credits: long (nullable = true)\n"," |-- length: double (nullable = true)\n"," |-- max_atmosphering_speed: double (nullable = true)\n"," |-- crew: integer (nullable = true)\n"," |-- passengers: integer (nullable = true)\n"," |-- cargo_capacity: long (nullable = true)\n"," |-- consumables: string (nullable = true)\n"," |-- vehicle_class: string (nullable = true)\n","\n"]}],"source":["vehiclesDF = spark.read.option(\"header\", \"true\").schema(vehiclesSchema).csv(\"/dataset/vehicles.csv\")\n","vehiclesDF.printSchema()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JD2KQtXiYmVn"},"outputs":[],"source":[]}],"metadata":{"colab":{"collapsed_sections":["94aRTBiPQ9Jc"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/02.ColumnsAndExpressions_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/02.ColumnsAndExpressions_solved.ipynb
new file mode 100644
index 000000000..eba103b55
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/02.ColumnsAndExpressions_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"eyZfoGe_trKF"},"source":["# Columns and Expressions"]},{"cell_type":"markdown","metadata":{"id":"OF1B2ocetvbn"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"l_Vt3AVEt3uX"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":20309,"status":"ok","timestamp":1670786288520,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JrJqxyXZt9wn"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1670786288521,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"WBfjT1TouA1O","outputId":"849b3c81-2ca2-4da3-a114-c1839e6cb4e1"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  8 14:36 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3624,"status":"ok","timestamp":1670786292141,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"bHueJOLRuD2H"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":3931,"status":"ok","timestamp":1670786296068,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"arpGbc-EuDlH"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12537,"status":"ok","timestamp":1670786308602,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Bc6eiLp0uKov","outputId":"8bf55c6e-f254-4c05-a04c-a8091df0c579"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[?25l\r\u001b[K     |█▋                              | 10 kB 19.9 MB/s eta 0:00:01\r\u001b[K     |███▎                            | 20 kB 16.3 MB/s eta 0:00:01\r\u001b[K     |█████                           | 30 kB 20.7 MB/s eta 0:00:01\r\u001b[K     |██████▌                         | 40 kB 17.1 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 51 kB 14.7 MB/s eta 0:00:01\r\u001b[K     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0:00:01\r\u001b[K     |███████████████████████████████ | 194 kB 19.0 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 200 kB 19.0 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n"]}],"source":["\n","!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"mfEdQvJLuP7Y"},"source":["Define the environment"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":11,"status":"ok","timestamp":1670786308602,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zU_829Z5uPEv"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"GByUn4STtrKH"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9402,"status":"ok","timestamp":1670786317995,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"lW82io8xtrKI","outputId":"9b3ef234-8873-41b5-f12e-2abbcc9fc22f"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Columns and Expressions\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1898,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Xe0_i5fHtrKJ","outputId":"8a9f40c7-a480-487f-aef6-d1ef630204ef"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://e4b58f6995fb:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Columns and Expressions</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f5666d74c40>"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"mIXSyPeytrKJ"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786319889,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SsEHbN1HtrKJ"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"Cc8OP9YSu3KY"},"source":["Download datasets"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":982,"status":"ok","timestamp":1670786320867,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vgd-xCVUu5e4"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/cars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/more_cars.json -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"2m7U4JG7trKK"},"source":["Read JSON file"]},{"cell_type":"code","execution_count":12,"metadata":{"executionInfo":{"elapsed":9150,"status":"ok","timestamp":1670786330016,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"j40ajnajtrKK"},"outputs":[],"source":["carsDF = spark.read \\\n","    .option(\"inferSchema\", True) \\\n","    .json(\"/dataset/cars.json\")"]},{"cell_type":"markdown","metadata":{"id":"rBegVS5dtrKK"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"-j-DuH6xtrKL"},"source":["Select a column"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":665,"status":"ok","timestamp":1670786330672,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pJeRA5chtrKL","outputId":"bb2fc632-3e12-4093-bfb7-c697dcde2f61"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------------+\n","|Name                     |\n","+-------------------------+\n","|chevrolet chevelle malibu|\n","|buick skylark 320        |\n","|plymouth satellite       |\n","+-------------------------+\n","only showing top 3 rows\n","\n"]}],"source":["carsDF.select(col(\"Name\")).show(3, False)"]},{"cell_type":"markdown","metadata":{"id":"1Wd_xjFOY9Tl"},"source":["We can use various metods to refer a column"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":496,"status":"ok","timestamp":1670786331165,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RJYKyUputrKL","outputId":"0996f33d-676e-41c9-c86e-19387132cb5a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+------------+-------------+\n","|                Name|Acceleration|Weight_in_lbs|\n","+--------------------+------------+-------------+\n","|chevrolet chevell...|        12.0|         3504|\n","|   buick skylark 320|        11.5|         3693|\n","|  plymouth satellite|        11.0|         3436|\n","+--------------------+------------+-------------+\n","only showing top 3 rows\n","\n"]}],"source":["# various select methods\n","carsDF.select(\n","    carsDF.Name,\n","    col(\"Acceleration\"),\n","    \"Weight_in_lbs\"\n",").show(3)"]},{"cell_type":"markdown","metadata":{"id":"1BHOu4KEtrKL"},"source":["Expressions. We can use SQL like expression inside select to make operations with a column"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":629,"status":"ok","timestamp":1670786331793,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-OGl-DU7trKM","outputId":"d8d00a01-8d31-4d82-c6ca-b9b1ba7e71ed"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Name: string (nullable = true)\n"," |-- Weight_in_lbs: long (nullable = true)\n"," |-- Weight_in_kg_2: integer (nullable = true)\n"," |-- Weight_in_T: string (nullable = true)\n","\n","+--------------------+-------------+--------------+-----------+\n","|                Name|Weight_in_lbs|Weight_in_kg_2|Weight_in_T|\n","+--------------------+-------------+--------------+-----------+\n","|chevrolet chevell...|         3504|          1592|      3.504|\n","|   buick skylark 320|         3693|          1678|      3.693|\n","|  plymouth satellite|         3436|          1561|      3.436|\n","+--------------------+-------------+--------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["# \n","carsWithKgDF = carsDF.select(\n","    col(\"Name\"),\n","    col(\"Weight_in_lbs\"),\n","    (col(\"Weight_in_lbs\")/2.2).cast(\"int\").alias(\"Weight_in_kg_2\"), #cast result to int\n","    expr(\"Weight_in_lbs / 1000\").cast(\"string\").alias(\"Weight_in_T\") #cast result to str\n",")\n","carsWithKgDF.printSchema()\n","carsWithKgDF.show(3)"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":367,"status":"ok","timestamp":1670786332158,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"NZYAC9A8trKM","outputId":"74f8fdac-8acc-44f1-caef-5ebab0458d11"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-------------+---------------------+\n","|                Name|Weight_in_lbs|(Weight_in_lbs / 2.2)|\n","+--------------------+-------------+---------------------+\n","|chevrolet chevell...|         3504|          1592.727273|\n","|   buick skylark 320|         3693|          1678.636364|\n","|  plymouth satellite|         3436|          1561.818182|\n","+--------------------+-------------+---------------------+\n","only showing top 3 rows\n","\n"]}],"source":["# with expressions\n","carsWithSelectExprWeightsDF = carsDF.selectExpr(\n","    \"Name\",\n","    \"Weight_in_lbs\",\n","    \"Weight_in_lbs / 2.2\"\n","  )\n","carsWithSelectExprWeightsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"LDwREHXhtrKM"},"source":["### DF Processing"]},{"cell_type":"markdown","metadata":{"id":"D-12eNHDtrKM"},"source":["Add a column"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":698,"status":"ok","timestamp":1670786332854,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"S09Nw_iytrKM","outputId":"374e95f6-3d68-4bf5-f22a-2e866d5aa6db"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|    Weight_in_kg_3|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|1592.7272727272725|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|1678.6363636363635|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|         3436|1970-01-01|1561.8181818181818|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+------------------+\n","only showing top 3 rows\n","\n"]}],"source":["carsWithKg3DF = carsDF.withColumn(\"Weight_in_kg_3\", col(\"Weight_in_lbs\") / 2.2)\n","carsWithKg3DF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"SaYkSZ-AtrKN"},"source":["Rename a column"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":513,"status":"ok","timestamp":1670786333366,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"5m8EFdTBtrKN","outputId":"8dfff95c-47d9-4df2-f788-3e08209201b2"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight in pounds|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|            3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|            3693|1970-01-01|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|            3436|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+----------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["carsWithColumnRenamed = carsDF.withColumnRenamed(\"Weight_in_lbs\", \"Weight in pounds\")\n","carsWithColumnRenamed.show(3)"]},{"cell_type":"code","execution_count":19,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1670786333366,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"zzwPcSFqtrKN"},"outputs":[],"source":["# careful with column names\n","# carsWithColumnRenamed.selectExpr(\"Weight in pounds\")"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"8Y0Ir5jBtrKN","outputId":"7b9b4047-cf09-4da4-ee8e-9ba539df7569"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------+\n","|Weight in pounds|\n","+----------------+\n","|            3504|\n","|            3693|\n","|            3436|\n","+----------------+\n","only showing top 3 rows\n","\n"]}],"source":["# as we hace special characters (spaces) we have to use the ``\n","carsWithColumnRenamed.selectExpr(\"`Weight in pounds`\").show(3)"]},{"cell_type":"markdown","metadata":{"id":"mkqoz74TtrKN"},"source":["Remove a column"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"6qaH5KLhtrKO","outputId":"a3a1858b-b277-46e1-de67-09470093d1ba"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Cylinders: long (nullable = true)\n"," |-- Displacement: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight in pounds: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["carsWithColumnRenamed.printSchema()"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786333367,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SE_SvbNNtrKO","outputId":"5e4775bc-c6c8-4acc-ff3c-fc5a1a2dce4c"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Acceleration: double (nullable = true)\n"," |-- Horsepower: long (nullable = true)\n"," |-- Miles_per_Gallon: double (nullable = true)\n"," |-- Name: string (nullable = true)\n"," |-- Origin: string (nullable = true)\n"," |-- Weight in pounds: long (nullable = true)\n"," |-- Year: string (nullable = true)\n","\n"]}],"source":["dropColsDF = carsWithColumnRenamed.drop(\"Cylinders\", \"Displacement\")\n","dropColsDF.printSchema()\n"]},{"cell_type":"markdown","metadata":{"id":"QKtbVrvBtrKO"},"source":["Filtering"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1506,"status":"ok","timestamp":1670786334871,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pr2vC4_9trKO","outputId":"5a14fe5b-8038-4c73-bf6e-1a015d44174f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        17.5|        4|       133.0|       115|            null|citroen ds-21 pallas|Europe|         3090|1970-01-01|\n","|        15.0|        4|       113.0|        95|            24.0|toyota corona mar...| Japan|         2372|1970-01-01|\n","|        14.5|        4|        97.0|        88|            27.0|        datsun pl510| Japan|         2130|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 3 rows\n","\n","152 == 152\n"]}],"source":["nonUSCarsDF = carsDF.filter(col(\"Origin\") != \"USA\")\n","nonUSCarsDF2 = carsDF.where(col(\"Origin\") != \"USA\")\n","nonUSCarsDF.show(3)\n","print(f\"{nonUSCarsDF.count()} == {nonUSCarsDF2.count()}\")"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":700,"status":"ok","timestamp":1670786335570,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Cc58o5B1trKO","outputId":"89677fd2-6f2d-4244-f984-472a975d2635"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|                Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","|        12.0|        8|       307.0|       130|            18.0|chevrolet chevell...|   USA|         3504|1970-01-01|\n","|        11.5|        8|       350.0|       165|            15.0|   buick skylark 320|   USA|         3693|1970-01-01|\n","|        11.0|        8|       318.0|       150|            18.0|  plymouth satellite|   USA|         3436|1970-01-01|\n","+------------+---------+------------+----------+----------------+--------------------+------+-------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["# filtering with expression strings\n","americanCarsDF = carsDF.filter(\"Origin = 'USA'\")\n","americanCarsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"YvqWVJKmtrKO"},"source":["Chain filters"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":371,"status":"ok","timestamp":1670786335936,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"QSYv7uastrKO","outputId":"a00f6ff7-3ecb-4640-e6ed-42d74d9ee293"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","|Acceleration|Cylinders|Displacement|Horsepower|Miles_per_Gallon|             Name|Origin|Weight_in_lbs|      Year|\n","+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","|        11.5|        8|       350.0|       165|            15.0|buick skylark 320|   USA|         3693|1970-01-01|\n","|        10.0|        8|       429.0|       198|            15.0| ford galaxie 500|   USA|         4341|1970-01-01|\n","|         9.0|        8|       454.0|       220|            14.0| chevrolet impala|   USA|         4354|1970-01-01|\n","+------------+---------+------------+----------+----------------+-----------------+------+-------------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["americanPowerfulCarsDF = carsDF.filter(col(\"Origin\") == \"USA\").filter(col(\"Horsepower\") > 150)\n","americanPowerfulCarsDF2 = carsDF.filter((col(\"Origin\") == \"USA\") & (col(\"Horsepower\") > 150))\n","americanPowerfulCarsDF3 = carsDF.filter(\"Origin = 'USA' and Horsepower > 150\")\n","americanPowerfulCarsDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"kVhkmxwZtrKP"},"source":["## Exercises\n","1. Read the movies DF and select 2 columns of your choice\n","2. Create another column summing up the total profit of the movies = US_Gross + Worldwide_Gross + DVD sales. Are you obtaining nulls? How you can solve it?\n","3. Select all COMEDY movies with IMDB rating above 6\n","Use as many versions as possible"]},{"cell_type":"markdown","metadata":{"id":"QgpQ09-wtrKP"},"source":["Exercise 1"]},{"cell_type":"code","execution_count":29,"metadata":{"executionInfo":{"elapsed":353,"status":"ok","timestamp":1670786337998,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"d9aYXiA6trKQ"},"outputs":[],"source":["moviesDF = spark.read.option(\"inferSchema\", \"true\").json(\"/dataset/movies.json\")"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":272,"status":"ok","timestamp":1670786338266,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"e64DWN0CtrKQ","outputId":"660c9183-421a-4ddc-ac48-d45d3a391f65"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+--------------------+------------+--------+---------------+\n","|Creative_Type|Director|Distributor|IMDB_Rating|IMDB_Votes|MPAA_Rating|Major_Genre|Production_Budget|Release_Date|Rotten_Tomatoes_Rating|Running_Time_min|Source|               Title|US_DVD_Sales|US_Gross|Worldwide_Gross|\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+--------------------+------------+--------+---------------+\n","|         null|    null|   Gramercy|        6.1|      1071|          R|       null|          8000000|   12-Jun-98|                  null|            null|  null|      The Land Girls|        null|  146083|         146083|\n","|         null|    null|     Strand|        6.9|       207|          R|      Drama|           300000|    7-Aug-98|                  null|            null|  null|First Love, Last ...|        null|   10876|          10876|\n","|         null|    null|  Lionsgate|        6.8|       865|       null|     Comedy|           250000|   28-Aug-98|                  null|            null|  null|I Married a Stran...|        null|  203134|         203134|\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+--------------------+------------+--------+---------------+\n","only showing top 3 rows\n","\n"]}],"source":["moviesDF.show(3)"]},{"cell_type":"code","execution_count":31,"metadata":{"executionInfo":{"elapsed":2,"status":"ok","timestamp":1670786338267,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JDixyg2wtrKQ"},"outputs":[],"source":["moviesReleaseDF = moviesDF.select(\"Title\", \"Release_Date\")\n","\n","moviesReleaseDF2 = moviesDF.select(\n","    moviesDF.Title,\n","    col(\"Release_Date\"),\n","    \"Major_Genre\",\n","    expr(\"IMDB_Rating\"))\n","    \n","moviesReleaseDF3 = moviesDF.selectExpr(\n","    \"Title\", \"Release_Date\")"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1670786338515,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XYrPvINstrKQ","outputId":"fc2ba9a1-2a73-4acd-82be-f5b90d5e7093"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- Title: string (nullable = true)\n"," |-- Release_Date: string (nullable = true)\n"," |-- Major_Genre: string (nullable = true)\n"," |-- IMDB_Rating: double (nullable = true)\n","\n"]}],"source":["moviesReleaseDF2.printSchema()"]},{"cell_type":"markdown","metadata":{"id":"RgtGVWTrtrKQ"},"source":["Exercise 2"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":330,"status":"ok","timestamp":1670786338838,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-CnhhLgItrKQ","outputId":"5ddd85dd-d746-4238-9a1b-563174625d79"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------+---------------+------------+-----------+\n","|               Title|US_Gross|Worldwide_Gross|US_DVD_Sales|Total_Gross|\n","+--------------------+--------+---------------+------------+-----------+\n","|      The Land Girls|  146083|         146083|        null|       null|\n","|First Love, Last ...|   10876|          10876|        null|       null|\n","|I Married a Stran...|  203134|         203134|        null|       null|\n","+--------------------+--------+---------------+------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["moviesProfitDF = moviesDF.select(\n","    col(\"Title\"),\n","    col(\"US_Gross\"),\n","    col(\"Worldwide_Gross\"),\n","    col(\"US_DVD_Sales\"),\n","    (col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\"))\n","\n","moviesProfitDF.show(3)"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786338838,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ed9GePFJtrKQ","outputId":"aeac6866-08e8-4fa1-b1be-b8add7feff1c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|               Title|Total_Gross|\n","+--------------------+-----------+\n","|      The Land Girls|     292166|\n","|First Love, Last ...|      21752|\n","|I Married a Stran...|     406268|\n","+--------------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["# we can replace null, or make our sum null same (via udf, filter, sql statement, ect) we will not describe it in detail now\n","moviesProfitDF2 = moviesDF.fillna(0).select(\n","    col(\"Title\"),\n","    (col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\"))\n","\n","moviesProfitDF2.show(3)"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":252,"status":"ok","timestamp":1670786339089,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"KhDM4I12trKR","outputId":"11e7f1ab-2f2b-455c-c156-2f58b9048c9a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------+---------------+------------+-----------+\n","|               Title|US_Gross|Worldwide_Gross|US_DVD_Sales|Total_Gross|\n","+--------------------+--------+---------------+------------+-----------+\n","|      The Land Girls|  146083|         146083|           0|     292166|\n","|First Love, Last ...|   10876|          10876|           0|      21752|\n","|I Married a Stran...|  203134|         203134|           0|     406268|\n","+--------------------+--------+---------------+------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["moviesProfitDF3 = moviesDF.fillna(0).selectExpr(\n","    \"Title\",\n","    \"US_Gross\",\n","    \"Worldwide_Gross\",\n","    \"US_DVD_Sales\",\n","    \"US_Gross + Worldwide_Gross + US_DVD_Sales as Total_Gross\")\n","\n","moviesProfitDF3.show(3)"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":404,"status":"ok","timestamp":1670786339490,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"WhGynG4NtrKR","outputId":"70b9450c-13af-4c00-804a-dfe656f19dc6"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------+---------------+------------+-----------+\n","|               Title|US_Gross|Worldwide_Gross|US_DVD_Sales|Total_Gross|\n","+--------------------+--------+---------------+------------+-----------+\n","|      The Land Girls|  146083|         146083|           0|     292166|\n","|First Love, Last ...|   10876|          10876|           0|      21752|\n","|I Married a Stran...|  203134|         203134|           0|     406268|\n","+--------------------+--------+---------------+------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["moviesProfitDF4 = moviesDF.fillna(0).select(\"Title\", \"US_Gross\", \"Worldwide_Gross\", \"US_DVD_Sales\") \\\n","    .withColumn(\"Total_Gross\", col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\"))\n","\n","moviesProfitDF4.show(3)"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670786339737,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"syGNtFuJtrKR","outputId":"87c6c7f3-8800-4138-8b74-b31091c34079"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------+---------------+------------+-----------+\n","|               Title|US_Gross|Worldwide_Gross|US_DVD_Sales|Total_Gross|\n","+--------------------+--------+---------------+------------+-----------+\n","|      The Land Girls|  146083|         146083|           0|     292166|\n","|First Love, Last ...|   10876|          10876|           0|      21752|\n","|I Married a Stran...|  203134|         203134|           0|     406268|\n","+--------------------+--------+---------------+------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["# using conditions over columns to handle with nulls (harder but sometimes necessary)\n","moviesProfitDF5 = moviesDF.select(\"Title\", \"US_Gross\", \"Worldwide_Gross\", \"US_DVD_Sales\") \\\n","    .withColumn(\"US_DVD_Sales\", when(col(\"US_DVD_Sales\").isNotNull(), col(\"US_DVD_Sales\")).otherwise(0)) \\\n","    .withColumn(\"Total_Gross\", col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\"))\n","\n","moviesProfitDF5.show(3)"]},{"cell_type":"markdown","metadata":{"id":"9j710M_JQYwd"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":243,"status":"ok","timestamp":1670786339978,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"IbdYbj32trKR","outputId":"164fad6e-c31a-4e90-a87a-0226dad94ccd"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|               Title|IMDB_Rating|\n","+--------------------+-----------+\n","|I Married a Stran...|        6.8|\n","|24 7: Twenty Four...|        6.9|\n","|          Four Rooms|        6.4|\n","+--------------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["comediesDF = moviesDF.select(\"Title\", \"IMDB_Rating\") \\\n","    .where((col(\"Major_Genre\") == \"Comedy\") & (col(\"IMDB_Rating\") > 6))\n","\n","comediesDF.show(3)"]},{"cell_type":"code","execution_count":39,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":285,"status":"ok","timestamp":1670786340262,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"N0pDUe70trKR","outputId":"1d537398-cdeb-4f46-87ae-85b2284a5761"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|               Title|IMDB_Rating|\n","+--------------------+-----------+\n","|I Married a Stran...|        6.8|\n","|24 7: Twenty Four...|        6.9|\n","|          Four Rooms|        6.4|\n","+--------------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["\n","comediesDF2 = moviesDF.select(\"Title\", \"IMDB_Rating\") \\\n","    .where(col(\"Major_Genre\") == \"Comedy\") \\\n","    .where(col(\"IMDB_Rating\") > 6)\n","\n","comediesDF2.show(3)"]},{"cell_type":"code","execution_count":41,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":263,"status":"ok","timestamp":1670786427897,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Km6rZ26ztrKR","outputId":"713b909d-b00f-410b-b731-b949f1653a01"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|               Title|IMDB_Rating|\n","+--------------------+-----------+\n","|I Married a Stran...|        6.8|\n","|24 7: Twenty Four...|        6.9|\n","|          Four Rooms|        6.4|\n","+--------------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["comediesDF3 = moviesDF.select(\"Title\", \"IMDB_Rating\") \\\n","    .where(\"Major_Genre = 'Comedy' and IMDB_Rating > 6\")\n","\n","comediesDF3.show(3)"]},{"cell_type":"code","execution_count":47,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":270,"status":"ok","timestamp":1670786581476,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Z9gaeIs2obTI","outputId":"aaaf9ba3-894f-4c94-b94c-399c032d3a2a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|               Title|IMDB_Rating|\n","+--------------------+-----------+\n","|I Married a Stran...|        6.8|\n","|24 7: Twenty Four...|        6.9|\n","|          Four Rooms|        6.4|\n","+--------------------+-----------+\n","only showing top 3 rows\n","\n"]}],"source":["moviesDF.createOrReplaceTempView(\"comedies\")\n","\n","spark.sql(\"select Title, IMDB_Rating from comedies where (Major_Genre = 'Comedy' and IMDB_Rating > 6)\").show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"03-5sRApo571"},"outputs":[],"source":[]}],"metadata":{"colab":{"collapsed_sections":["LDwREHXhtrKM"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/03.Aggregations_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/03.Aggregations_solved.ipynb
new file mode 100644
index 000000000..94cd6c391
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/03.Aggregations_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"s4YqddS_vlYH"},"source":["# Aggregations and Grouping"]},{"cell_type":"markdown","metadata":{"id":"WwNMmP6GvoDQ"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HvezyELEvqZH"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7b0-USnDvst_"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1670581376752,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RnfbBxRivvWX","outputId":"6d1dd47f-2eb6-469e-f505-67be729bcb9a"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 2 root root      4096 Dec  9 10:22 \u001b[0m\u001b[01;34mdataset\u001b[0m/\n","drwxr-xr-x 1 root root      4096 Dec  7 14:41 \u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IhVzl2vbvxhY"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8JuU0Aylvxeo"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13363,"status":"ok","timestamp":1670581398749,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"0hvlB3OlvzxX","outputId":"0aff085f-53a1-40ed-c742-89aeac594b9b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting py4j\n","  Downloading py4j-0.10.9.7-py2.py3-none-any.whl (200 kB)\n","\u001b[K     |████████████████████████████████| 200 kB 5.4 MB/s \n","\u001b[?25hInstalling collected packages: py4j\n","Successfully installed py4j-0.10.9.7\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n"]}],"source":["!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"O0C9EzZbv4x4"},"source":["Define the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Rf4ibNTdv7fv"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"K90Ld_NkvlYI"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9353,"status":"ok","timestamp":1670581408100,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2Fg_PLR_vlYI","outputId":"2dc34c37-2e19-4b3b-ec66-ef29f99419a1"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Aggregations and Grouping\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1809,"status":"ok","timestamp":1670581409903,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RnamkNcgvlYJ","outputId":"f3286245-59e1-4b01-d40a-4f2b8cbc7c9b"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://bb8340b5de62:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Aggregations and Grouping</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f168d2209d0>"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9AGniM-7vlYK"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"e0DXUK1fvlYK"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"1mCPp9fQwEif"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5xTARwq9wLgH"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/movies.json -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/vehicles.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/characters.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"yD4q57C_vlYK"},"source":["Read JSON file\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dZWORhHKvlYK"},"outputs":[],"source":["moviesDF = spark.read \\\n","    .option(\"inferSchema\", True) \\\n","    .json(\"/dataset/movies.json\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1067,"status":"ok","timestamp":1670581420751,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"4h2S0ponvlYK","outputId":"07cfbb5f-67f2-4815-d9f4-e70c47089d11"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","|Creative_Type|Director|Distributor|IMDB_Rating|IMDB_Votes|MPAA_Rating|Major_Genre|Production_Budget|Release_Date|Rotten_Tomatoes_Rating|Running_Time_min|Source|Title                 |US_DVD_Sales|US_Gross|Worldwide_Gross|\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","|null         |null    |Gramercy   |6.1        |1071      |R          |null       |8000000          |12-Jun-98   |null                  |null            |null  |The Land Girls        |null        |146083  |146083         |\n","|null         |null    |Strand     |6.9        |207       |R          |Drama      |300000           |7-Aug-98    |null                  |null            |null  |First Love, Last Rites|null        |10876   |10876          |\n","+-------------+--------+-----------+-----------+----------+-----------+-----------+-----------------+------------+----------------------+----------------+------+----------------------+------------+--------+---------------+\n","only showing top 2 rows\n","\n","[StructField('Creative_Type', StringType(), True), StructField('Director', StringType(), True), StructField('Distributor', StringType(), True), StructField('IMDB_Rating', DoubleType(), True), StructField('IMDB_Votes', LongType(), True), StructField('MPAA_Rating', StringType(), True), StructField('Major_Genre', StringType(), True), StructField('Production_Budget', LongType(), True), StructField('Release_Date', StringType(), True), StructField('Rotten_Tomatoes_Rating', LongType(), True), StructField('Running_Time_min', LongType(), True), StructField('Source', StringType(), True), StructField('Title', StringType(), True), StructField('US_DVD_Sales', LongType(), True), StructField('US_Gross', LongType(), True), StructField('Worldwide_Gross', LongType(), True)]\n"]},{"data":{"text/plain":["['Creative_Type',\n"," 'Director',\n"," 'Distributor',\n"," 'IMDB_Rating',\n"," 'IMDB_Votes',\n"," 'MPAA_Rating',\n"," 'Major_Genre',\n"," 'Production_Budget',\n"," 'Release_Date',\n"," 'Rotten_Tomatoes_Rating',\n"," 'Running_Time_min',\n"," 'Source',\n"," 'Title',\n"," 'US_DVD_Sales',\n"," 'US_Gross',\n"," 'Worldwide_Gross']"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["moviesDF.show(2, False)\n","print(moviesDF.schema.fields)\n","moviesDF.columns"]},{"cell_type":"markdown","metadata":{"id":"M7Ab75vzvlYK"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"3L-vJzo5vlYK"},"source":["Count"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1175,"status":"ok","timestamp":1670581421925,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eWoq50okvlYL","outputId":"2765af46-4f08-4e2a-eb4c-f9b9c561ead9"},"outputs":[{"data":{"text/plain":["3201"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["# df rows counting, including NULLS\n","moviesDF.count()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":813,"status":"ok","timestamp":1670581422733,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JwFlAfygvlYL","outputId":"f5901338-7177-4d72-f0f6-b631112a7280"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------------+\n","|count(Major_Genre)|\n","+------------------+\n","|              2926|\n","+------------------+\n","\n"]}],"source":["# using sql functions, NOT including NULLS\n","genresCountDF = moviesDF.select(count(col(\"Major_Genre\")))\n","genresCountDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":267,"status":"ok","timestamp":1670581422999,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XOnzyw5pvlYL","outputId":"ed582d04-e104-4816-e363-afa12ad9406c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n"]}],"source":["directorsCountDF = moviesDF.select(count(moviesDF.Director))\n","directorsCountDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":266,"status":"ok","timestamp":1670581423264,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"I6zWJ2x8vlYL","outputId":"3d570765-2630-4dfb-d75b-6ff9b2d8f5e1"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+---------------+\n","|countMajor|count(Director)|\n","+----------+---------------+\n","|      2926|           1870|\n","+----------+---------------+\n","\n"]}],"source":["moviesDF.select(count(moviesDF.Major_Genre).alias(\"countMajor\"), count(moviesDF.Director)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":767,"status":"ok","timestamp":1670581424029,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nWOO2IBsvlYL","outputId":"cc36949a-5f6c-4e45-a26f-5b57aa04bd03"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n","+-----+\n","|count|\n","+-----+\n","| 1870|\n","+-----+\n","\n"]}],"source":["#using SQL syntax\n","moviesDF.select(expr(\"count(Director)\")).show()\n","moviesDF.selectExpr(\"count(Director) as count\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"QOje34ZavlYL"},"outputs":[],"source":["# using SQL\n","moviesDF.createOrReplaceTempView(\"movies\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":801,"status":"ok","timestamp":1670581424829,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-UTqpjafvlYM","outputId":"4129c709-8bed-4c6c-d5c4-c405b3a89cdd"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------+\n","|count(Director)|\n","+---------------+\n","|           1870|\n","+---------------+\n","\n"]}],"source":["spark.sql(\"select count(Director) from movies\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":225,"status":"ok","timestamp":1670581425052,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-bsgNq42vlYM","outputId":"54d942af-b340-44db-c175-5e45cd681494"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------+------------------+\n","|countDirector|count(Major_Genre)|\n","+-------------+------------------+\n","|         1870|              2926|\n","+-------------+------------------+\n","\n"]}],"source":["spark.sql(\"select count(Director) as countDirector, count(Major_Genre) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"7tD9smRhvlYM"},"source":["Count Distinct"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":515,"status":"ok","timestamp":1670581425565,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ngR6WFUovlYM","outputId":"bdd9d3c8-9b6c-4fc4-91b3-659ee17f55f8"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|count(DISTINCT Major_Genre)|\n","+---------------------------+\n","|                         12|\n","+---------------------------+\n","\n"]}],"source":["moviesDF.select(countDistinct(moviesDF.Major_Genre)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":606,"status":"ok","timestamp":1670581426170,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"65m9Ev4MvlYM","outputId":"36e25661-5573-43c3-fcf3-68f0db17ad77"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|count(DISTINCT Major_Genre)|\n","+---------------------------+\n","|                         12|\n","+---------------------------+\n","\n"]}],"source":["spark.sql(\"select count(distinct Major_Genre) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"wpwLzjsovlYM"},"source":["Min and max"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":691,"status":"ok","timestamp":1670581426859,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"FPOzkXPEvlYN","outputId":"e01067da-310d-4816-9712-bb1be6e6c35a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+----------------------+\n","|min(Production_Budget)|max(Production_Budget)|\n","+----------------------+----------------------+\n","|                   218|             300000000|\n","+----------------------+----------------------+\n","\n"]}],"source":["moviesDF.select(min(moviesDF.Production_Budget), max(moviesDF.Production_Budget)).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":245,"status":"ok","timestamp":1670581427103,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"pY6U_O43vlYN","outputId":"dd249a1d-b87f-4107-a91d-86f28e1bf312"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+\n","|min(Production_Budget)|\n","+----------------------+\n","|                   218|\n","+----------------------+\n","\n"]}],"source":["spark.sql(\"select min(Production_Budget) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"ID9Q9X7EvlYN"},"source":["Sum"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":504,"status":"ok","timestamp":1670581427606,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RHKzZO-6vlYN","outputId":"28db29ba-d97b-4ed2-8368-705f43a5af51"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+\n","|    salesUS|\n","+-----------+\n","|19684472405|\n","+-----------+\n","\n","+-----------+\n","|      sales|\n","+-----------+\n","|19684472405|\n","+-----------+\n","\n"]}],"source":["moviesDF.select(sum(moviesDF.US_DVD_Sales).alias(\"salesUS\")).show()\n","moviesDF.selectExpr(\"sum(US_DVD_Sales) as sales\").show()"]},{"cell_type":"markdown","metadata":{"id":"Yq5pF3mLvlYN"},"source":["Average"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":502,"status":"ok","timestamp":1670581428107,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"fDVmzYTsvlYN","outputId":"f33c15c5-05e4-4f51-9278-dccc0547ad65"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------------+\n","|avg(Production_Budget)|\n","+----------------------+\n","|    3.10691714484375E7|\n","+----------------------+\n","\n","+----------------------+\n","|avg(Production_Budget)|\n","+----------------------+\n","|    3.10691714484375E7|\n","+----------------------+\n","\n"]}],"source":["moviesDF.select(avg(moviesDF.Production_Budget)).show()\n","spark.sql(\"select avg(Production_Budget) from movies\").show()"]},{"cell_type":"markdown","metadata":{"id":"4RLegmspvlYN"},"source":["Stats"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":713,"status":"ok","timestamp":1670581428815,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"WTJQxCazvlYO","outputId":"074f42ff-9506-4235-a284-d890e1da873c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+---------------------------+\n","|avg(Rotten_Tomatoes_Rating)|\n","+---------------------------+\n","|          54.33692373976734|\n","+---------------------------+\n","\n","+-----------------------------------+\n","|stddev_samp(Rotten_Tomatoes_Rating)|\n","+-----------------------------------+\n","|                  28.07659263787602|\n","+-----------------------------------+\n","\n"]}],"source":["moviesDF.select(mean(moviesDF.Rotten_Tomatoes_Rating)).show()\n","moviesDF.select(stddev(moviesDF.Rotten_Tomatoes_Rating)).show()"]},{"cell_type":"markdown","metadata":{"id":"BrbK9dgcvlYO"},"source":["### Grouping\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":713,"status":"ok","timestamp":1670581429523,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"yYrN8U1ZvlYO","outputId":"6d8ef70e-3866-4ad3-cc4d-b5190771de6a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+-----+\n","|        Major_Genre|count|\n","+-------------------+-----+\n","|Concert/Performance|    5|\n","|       Black Comedy|   36|\n","|            Western|   36|\n","|        Documentary|   43|\n","|            Musical|   53|\n","|    Romantic Comedy|  137|\n","|             Horror|  219|\n","|  Thriller/Suspense|  239|\n","|          Adventure|  274|\n","|               null|  275|\n","|             Action|  420|\n","|             Comedy|  675|\n","|              Drama|  789|\n","+-------------------+-----+\n","\n"]}],"source":["countByGenreGF = moviesDF.groupBy(moviesDF.Major_Genre).count().orderBy(\"count\")\n","countByGenreGF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":365,"status":"ok","timestamp":1670581429886,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ZZO4-ux9vlYO","outputId":"0cfd68a8-c3e1-459c-f700-b8b1cfd729b0"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+-----+\n","|        Major_Genre|count|\n","+-------------------+-----+\n","|Concert/Performance|    5|\n","|       Black Comedy|   36|\n","|            Western|   36|\n","|        Documentary|   43|\n","|            Musical|   53|\n","|    Romantic Comedy|  137|\n","|             Horror|  219|\n","|  Thriller/Suspense|  239|\n","|          Adventure|  274|\n","|             Action|  420|\n","|             Comedy|  675|\n","|              Drama|  789|\n","+-------------------+-----+\n","\n"]}],"source":["spark.sql(\"select Major_Genre, count(Major_Genre) as count from movies where Major_Genre is not null group by Major_Genre order by count\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":592,"status":"ok","timestamp":1670581430473,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"eITO9H-gvlYO","outputId":"5abf6fce-9f3a-4329-8a95-9a7ba882fbaa"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+------------------+\n","|        Major_Genre|  avg(IMDB_Rating)|\n","+-------------------+------------------+\n","|        Documentary| 6.997297297297298|\n","|            Western| 6.842857142857142|\n","|       Black Comedy|6.8187500000000005|\n","|              Drama| 6.773441734417339|\n","|               null|  6.50082644628099|\n","|            Musical|             6.448|\n","|  Thriller/Suspense| 6.360944206008582|\n","|          Adventure| 6.345019920318729|\n","|Concert/Performance|             6.325|\n","|             Action| 6.114795918367349|\n","|    Romantic Comedy| 5.873076923076922|\n","|             Comedy| 5.853858267716529|\n","|             Horror|5.6760765550239185|\n","+-------------------+------------------+\n","\n"]}],"source":["avgRatingByGenreDF = moviesDF.groupBy(col(\"Major_Genre\")).avg(\"IMDB_Rating\").orderBy(col(\"avg(IMDB_Rating)\").desc())\n","avgRatingByGenreDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":448,"status":"ok","timestamp":1670581430919,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vnmu7fuovlYO","outputId":"80432633-aaa0-4bc0-ac8d-bd272a10b1b5"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+------------------+\n","|        Major_Genre|               avg|\n","+-------------------+------------------+\n","|        Documentary| 6.997297297297298|\n","|            Western| 6.842857142857142|\n","|       Black Comedy|6.8187500000000005|\n","|              Drama| 6.773441734417339|\n","|               null|  6.50082644628099|\n","|            Musical|             6.448|\n","|  Thriller/Suspense| 6.360944206008582|\n","|          Adventure| 6.345019920318729|\n","|Concert/Performance|             6.325|\n","|             Action| 6.114795918367349|\n","|    Romantic Comedy| 5.873076923076922|\n","|             Comedy| 5.853858267716529|\n","|             Horror|5.6760765550239185|\n","+-------------------+------------------+\n","\n"]}],"source":["moviesDF.groupBy(col(\"Major_Genre\")).agg(avg(\"IMDB_Rating\") \\\n","    .alias(\"avg\")).orderBy(col(\"avg\").desc()).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":367,"status":"ok","timestamp":1670581431285,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2fk-AjXIvlYO","outputId":"4cdea3f6-b1e3-4db5-bfc2-231d0de2241f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+--------+------------------+\n","|        Major_Genre|N_Movies|            rating|\n","+-------------------+--------+------------------+\n","|        Documentary|      43| 6.997297297297298|\n","|            Western|      36| 6.842857142857142|\n","|       Black Comedy|      36|6.8187500000000005|\n","|              Drama|     789| 6.773441734417339|\n","|               null|     275|  6.50082644628099|\n","|            Musical|      53|             6.448|\n","|  Thriller/Suspense|     239| 6.360944206008582|\n","|          Adventure|     274| 6.345019920318729|\n","|Concert/Performance|       5|             6.325|\n","|             Action|     420| 6.114795918367349|\n","|    Romantic Comedy|     137| 5.873076923076922|\n","|             Comedy|     675| 5.853858267716529|\n","|             Horror|     219|5.6760765550239185|\n","+-------------------+--------+------------------+\n","\n"]}],"source":["aggregationsByGenreDF = moviesDF.groupBy(\"Major_Genre\") \\\n","    .agg(\n","        count(\"*\").alias(\"N_Movies\"),\n","        avg(\"IMDB_Rating\").alias(\"rating\")\n","    ) \\\n","    .orderBy(col(\"rating\").desc()).show()"]},{"cell_type":"markdown","metadata":{"id":"cQ3xjlDxvlYP"},"source":["## Exercises\n","   1. Sum up all the worldwide profits of ALL the movies in the DF. Then sum the worldwide profits per director\n","   2. Count how many distinct directors we have\n","   3. Show the mean and standard deviation of US gross revenue for the movies (all the movies)\n","   4. Compute the average IMDB rating and the average US gross revenue PER DIRECTOR\n","   5. Sum up ALL the profits of ALL the movies in the DF. Then sum ALL the profits per director. Can you see null values? Why? How you can solve it? \n"]},{"cell_type":"markdown","metadata":{"id":"dzh5hcajvlYP"},"source":["Exercise 1"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":247,"status":"ok","timestamp":1670581431531,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"X4qMkSZhvlYP","outputId":"827b80a8-dfa2-42a0-cd2d-3fffa09d2def"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+\n","|sum(Worldwide_Gross)|\n","+--------------------+\n","|        272586820052|\n","+--------------------+\n","\n"]}],"source":["moviesDF.select(sum(\"Worldwide_Gross\")).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":616,"status":"ok","timestamp":1670581432146,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"x-Ofo8AwvlYP","outputId":"746821ce-6fe8-4777-eeff-5a536d476e4b"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------------------+\n","|            Director|sum(Worldwide_Gross)|\n","+--------------------+--------------------+\n","|                null|         47605151241|\n","|        Abel Ferrara|             1412799|\n","|          Adam McKay|           252379731|\n","|       Adam Shankman|           841310147|\n","|         Adrian Lyne|           648560696|\n","|     Adrienne Shelly|            22202180|\n","|      Akira Kurosawa|              320592|\n","|           Alan Alda|            42488161|\n","|      Alan J. Pakula|           140900000|\n","|         Alan Parker|           193906027|\n","|        Alan Rudolph|              178287|\n","|       Albert Brooks|            11614954|\n","|       Albert Hughes|            59329835|\n","|Alejandro Gonzale...|           216635372|\n","|       Alex Kendrick|            43629810|\n","|         Alex Proyas|           563716726|\n","|     Alexander Payne|           230472709|\n","|       Alexandre Aja|            69623713|\n","|      Alfonso Cuaron|           898639035|\n","|    Alfred Hitchcock|            98264742|\n","+--------------------+--------------------+\n","only showing top 20 rows\n","\n"]}],"source":["moviesDF.select(col(\"Director\"), col(\"Worldwide_Gross\")).groupBy(\"Director\").sum(\"Worldwide_Gross\").orderBy(col(\"Director\")).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":431,"status":"ok","timestamp":1670581432575,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ZxFG7UbivlYP","outputId":"21dd75c0-0107-4a37-bcc0-6a7ee39d6ce2"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------+---------------+\n","|      Director|Worldwide_Gross|\n","+--------------+---------------+\n","|Akira Kurosawa|          48856|\n","|Akira Kurosawa|         271736|\n","+--------------+---------------+\n","\n"]}],"source":["moviesDF.filter(col(\"Director\") == \"Akira Kurosawa\").select(col(\"Director\"), col(\"Worldwide_Gross\")).show()"]},{"cell_type":"markdown","metadata":{"id":"x_KjX-qxvlYP"},"source":["Exercise 2"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":261,"status":"ok","timestamp":1670581432833,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vagKxk9rvlYP","outputId":"b1ee3a40-6fa9-493c-8855-d509064c95e8"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------------------+\n","|count(DISTINCT Director)|\n","+------------------------+\n","|                     550|\n","+------------------------+\n","\n"]}],"source":["moviesDF.select(countDistinct(\"Director\")).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1670581432833,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"RwsBfHQivlYP","outputId":"db07c08a-b5a5-4565-b4f8-d7ee1e878602"},"outputs":[{"data":{"text/plain":["['Creative_Type',\n"," 'Director',\n"," 'Distributor',\n"," 'IMDB_Rating',\n"," 'IMDB_Votes',\n"," 'MPAA_Rating',\n"," 'Major_Genre',\n"," 'Production_Budget',\n"," 'Release_Date',\n"," 'Rotten_Tomatoes_Rating',\n"," 'Running_Time_min',\n"," 'Source',\n"," 'Title',\n"," 'US_DVD_Sales',\n"," 'US_Gross',\n"," 'Worldwide_Gross']"]},"execution_count":38,"metadata":{},"output_type":"execute_result"}],"source":["moviesDF.columns"]},{"cell_type":"markdown","metadata":{"id":"x6iJ5GWlvlYQ"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":841,"status":"ok","timestamp":1670581433673,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"cMWSCLigvlYQ","outputId":"2b771f29-a52e-4b41-c95f-1dbf747ed35b"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+---------------------+\n","|       avg(US_Gross)|stddev_samp(US_Gross)|\n","+--------------------+---------------------+\n","|4.4002085163744524E7|  6.255531139066214E7|\n","+--------------------+---------------------+\n","\n"]}],"source":["moviesDF.select(mean(\"US_Gross\"), stddev(\"US_Gross\")).show()"]},{"cell_type":"markdown","metadata":{"id":"qTyt8CotvlYQ"},"source":["Exercise 4"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1670581433674,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"s4jC3p6ivlYQ","outputId":"6f1fc683-7f79-416d-d539-fdd5cfa4d842"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+--------------------+-----------------+\n","|            Director|       avg(US_Gross)| avg(IMDB_Rating)|\n","+--------------------+--------------------+-----------------+\n","|                null| 2.082582007471698E7|5.924237427864797|\n","|        Abel Ferrara|           1212799.0|              6.4|\n","|          Adam McKay|        1.16175143E8|              6.7|\n","|       Adam Shankman| 9.145074516666667E7|5.833333333333333|\n","|         Adrian Lyne|         6.1548874E7|6.219999999999999|\n","|     Adrienne Shelly|          1.909755E7|              7.2|\n","|      Akira Kurosawa|            160296.0|8.100000000000001|\n","|           Alan Alda|         4.2488161E7|              7.0|\n","|      Alan J. Pakula|         4.2885593E7|              5.8|\n","|         Alan Parker|2.7593491333333332E7|              6.8|\n","|        Alan Rudolph|            178287.0|              4.3|\n","|       Albert Brooks|         1.1614954E7|              5.5|\n","|       Albert Hughes|        2.96649175E7|              7.1|\n","|Alejandro Gonzale...|         1.8645124E7|7.866666666666667|\n","|       Alex Kendrick|         2.1814905E7|              5.8|\n","|         Alex Proyas| 7.973124433333333E7|              7.1|\n","|     Alexander Payne|5.0483700666666664E7|              7.5|\n","|       Alexandre Aja|         4.1778863E7|              6.5|\n","|      Alfonso Cuaron| 9.958040533333333E7|              7.9|\n","|    Alfred Hitchcock|           9826474.2|             7.25|\n","+--------------------+--------------------+-----------------+\n","only showing top 20 rows\n","\n"]}],"source":["moviesDF.groupBy(\"Director\").agg(avg(\"US_Gross\"), avg(\"IMDB_Rating\")).orderBy(\"Director\").show()"]},{"cell_type":"markdown","metadata":{"id":"HOs_Y_y0vlYQ"},"source":["Exercise 5"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":361,"status":"ok","timestamp":1670581434031,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"r9P2HCEwvlYQ","outputId":"71ce0e5a-d806-4e08-befb-25946092ca3a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------+\n","|sum(Total_Gross)|\n","+----------------+\n","|    139190135783|\n","+----------------+\n","\n"]}],"source":["moviesDF.select((col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\")).select(sum(\"Total_Gross\")).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":272,"status":"ok","timestamp":1670581434302,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"T3YnTJn6vlYQ","outputId":"66e58054-ffdb-40ae-e3ea-a6e273d71b8c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|            Director|Total_Gross|\n","+--------------------+-----------+\n","|                null|23161808950|\n","|        Abel Ferrara|       null|\n","|          Adam McKay|  396065126|\n","|       Adam Shankman|  669875496|\n","|         Adrian Lyne|       null|\n","|     Adrienne Shelly|   64427279|\n","|      Akira Kurosawa|       null|\n","|           Alan Alda|       null|\n","|      Alan J. Pakula|       null|\n","|         Alan Parker|       null|\n","|        Alan Rudolph|       null|\n","|       Albert Brooks|       null|\n","|       Albert Hughes|       null|\n","|Alejandro Gonzale...|  201064882|\n","|       Alex Kendrick|  139250136|\n","|         Alex Proyas|  291267207|\n","|     Alexander Payne|       null|\n","|       Alexandre Aja|  131979381|\n","|      Alfonso Cuaron|  130347856|\n","|    Alfred Hitchcock|       null|\n","+--------------------+-----------+\n","only showing top 20 rows\n","\n"]}],"source":["moviesDF.groupBy(\"Director\").agg(sum(col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\")).orderBy(\"Director\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":486,"status":"ok","timestamp":1670581434784,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"jRLPJvUvvlYQ","outputId":"a4783406-2167-47cf-b7b6-a16060842c05"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------+---------------+------------+\n","|US_Gross|Worldwide_Gross|US_DVD_Sales|\n","+--------+---------------+------------+\n","|   48856|          48856|        null|\n","|  271736|         271736|        null|\n","+--------+---------------+------------+\n","\n"]}],"source":["moviesDF.filter(col(\"Director\") == \"Akira Kurosawa\").select(col(\"US_Gross\"), col(\"Worldwide_Gross\"), col(\"US_DVD_Sales\")).show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":620,"status":"ok","timestamp":1670581435402,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"kH40vP5KvlYR","outputId":"e50c6e97-ee1b-4400-8e41-d69d2f604624"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+-----------+\n","|            Director|Total_Gross|\n","+--------------------+-----------+\n","|                null|79073427920|\n","|        Abel Ferrara|    2625598|\n","|          Adam McKay|  569568389|\n","|       Adam Shankman| 1520657429|\n","|         Adrian Lyne|  956305066|\n","|     Adrienne Shelly|   64427279|\n","|      Akira Kurosawa|     641184|\n","|           Alan Alda|   84976322|\n","|      Alan J. Pakula|  183785593|\n","|         Alan Parker|  276686501|\n","|        Alan Rudolph|     356574|\n","|       Albert Brooks|   23229908|\n","|       Albert Hughes|  118659670|\n","|Alejandro Gonzale...|  304029952|\n","|       Alex Kendrick|  139250136|\n","|         Alex Proyas|  826361390|\n","|     Alexander Payne|  381923811|\n","|       Alexandre Aja|  131979381|\n","|      Alfonso Cuaron| 1222725522|\n","|    Alfred Hitchcock|  196529484|\n","+--------------------+-----------+\n","only showing top 20 rows\n","\n"]}],"source":["moviesDF.fillna(0).groupBy(\"Director\").agg(sum(col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\")).orderBy(\"Director\").show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":537,"status":"ok","timestamp":1670581435934,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"BSUecA9AvlYR","outputId":"58659287-fe85-48f7-c70e-b290bd9bd4b4"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------------+\n","|sum(Total_Gross)|\n","+----------------+\n","|    139190135783|\n","+----------------+\n","\n","+----------------+\n","|sum(Total_Gross)|\n","+----------------+\n","|    432813952470|\n","+----------------+\n","\n"]}],"source":["moviesDF.select((col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\")).select(sum(\"Total_Gross\")).show()\n","moviesDF.fillna(0).select((col(\"US_Gross\") + col(\"Worldwide_Gross\") + col(\"US_DVD_Sales\")).alias(\"Total_Gross\")).select(sum(\"Total_Gross\")).show()"]},{"cell_type":"markdown","metadata":{"id":"cJzr-2AhvlYR"},"source":["Rememeber SQL expressions are NOT null safe!!!"]}],"metadata":{"colab":{"collapsed_sections":["M7Ab75vzvlYK","BrbK9dgcvlYO","cQ3xjlDxvlYP"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/04.Joins_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/04.Joins_solved.ipynb
new file mode 100644
index 000000000..99d521dc7
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/04.Joins_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"h-3AXSJMxWcj"},"source":["# Joins"]},{"cell_type":"markdown","metadata":{"id":"NqSTh04rxXpg"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"alWDpL2TxZt3"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Mpinu0eRxcmO"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":255,"status":"ok","timestamp":1670436579804,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Jz43HkUGxg_3","outputId":"ac5c6ea2-0832-4c9b-a2f5-a40a3ea9d40d"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 1 root root      4096 Dec  6 14:35 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FIMyGT7Axg9G"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"BdJz2vonxjDe"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10739,"status":"ok","timestamp":1670436621663,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"vLrv7k6cxqVY","outputId":"335a57a9-43f9-4cba-a4f9-70ff84625d77"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: py4j in /usr/local/lib/python3.8/dist-packages (0.10.9.7)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: folium in /usr/local/lib/python3.8/dist-packages (0.12.1.post1)\n","Requirement already satisfied: branca>=0.3.0 in /usr/local/lib/python3.8/dist-packages (from folium) (0.6.0)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from folium) (2.23.0)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.8/dist-packages (from folium) (2.11.3)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from folium) (1.21.6)\n","Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.9->folium) (2.0.1)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2022.9.24)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (1.24.3)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->folium) (2.10)\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: plotly in /usr/local/lib/python3.8/dist-packages (5.5.0)\n","Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from plotly) (1.15.0)\n","Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from plotly) (8.1.0)\n"]}],"source":["!pip install py4j\n","\n","# For maps\n","!pip install folium\n","!pip install plotly"]},{"cell_type":"markdown","metadata":{"id":"uYSsCnv5xoPq"},"source":["Define the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ueuKeDHqxorP"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"77nvOyd1xWck"},"source":["Start Spark Session \n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":7803,"status":"ok","timestamp":1670436701150,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"u9zEr_35xWck","outputId":"6b19ccb2-446a-469f-eec0-2784973bc406"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Joins\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":1905,"status":"ok","timestamp":1670436706003,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"oS7E2-87xWcl","outputId":"849af19b-7917-4d4c-d665-e18d972ac53a"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://8823ed9a1372:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Joins</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f1dba132e50>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"75QZiN7GxWcl"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"4Cx-_TA5xxVw"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IFP9OP4fxzGw"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/guitars.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/guitarPlayers.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/bands.json -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/employees.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/salaries.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/deptmanagers.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/titles.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"CPNyqoE8xWcm"},"source":["Read JSONs"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"k9_4mNbqxWcm"},"outputs":[],"source":["guitarsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/guitars.json\")\n","\n","guitaristsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/guitarPlayers.json\")\n","\n","bandsDF = spark.read \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .json(\"/dataset/bands.json\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1999,"status":"ok","timestamp":1670436771444,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Aww2pe7sxWcm","outputId":"1800739a-870e-40bc-be06-67bb8b95d637"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+---+------+------------+\n","|          guitarType| id|  make|       model|\n","+--------------------+---+------+------------+\n","|Electric double-n...|  0|Gibson|    EDS-1275|\n","|            Electric|  5|Fender|Stratocaster|\n","|            Electric|  1|Gibson|          SG|\n","+--------------------+---+------+------------+\n","only showing top 3 rows\n","\n","+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   0|    [0]|  0|  Jimmy Page|\n","|   1|    [1]|  1| Angus Young|\n","|   2| [1, 5]|  2|Eric Clapton|\n","+----+-------+---+------------+\n","only showing top 3 rows\n","\n","+-----------+---+------------+----+\n","|   hometown| id|        name|year|\n","+-----------+---+------------+----+\n","|     Sydney|  1|       AC/DC|1973|\n","|     London|  0|Led Zeppelin|1968|\n","|Los Angeles|  3|   Metallica|1981|\n","+-----------+---+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitarsDF.show(3)\n","guitaristsDF.show(3)\n","bandsDF.show(3)\n"]},{"cell_type":"markdown","metadata":{"id":"opA3NFOfxWcm"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"GmN9q_ltxWcm"},"source":["Inner Join =  everything from BOTH DFs for which there is a row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1263,"status":"ok","timestamp":1670436775322,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"voyAapmexWcm","outputId":"0b70a609-66df-47ee-8381-a997f9857e81"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+---+------------+----+\n","|band|guitars| id|        name|   hometown| id|        name|year|\n","+----+-------+---+------------+-----------+---+------------+----+\n","|   1|    [1]|  1| Angus Young|     Sydney|  1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|  0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|  3|   Metallica|1981|\n","+----+-------+---+------------+-----------+---+------------+----+\n","\n"]}],"source":["joinCondition = guitaristsDF.band == bandsDF.id\n","guitaristsBandsDF = guitaristsDF.join(bandsDF, joinCondition, \"inner\")\n","guitaristsBandsDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Ce_yS-kVxWcn"},"outputs":[],"source":["# things to bear in mind\n","# guitaristsBandsDF.select(\"id\", \"band\").show(3) # will crash because there are two columns named \"id\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":914,"status":"ok","timestamp":1670436778566,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"ZD_tC8GKxWcn","outputId":"99519fb6-224d-4f93-9150-fb561b40e4d7"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+------+------------+----+\n","|band|guitars| id|        name|   hometown|bandId|    bandName|year|\n","+----+-------+---+------------+-----------+------+------------+----+\n","|   1|    [1]|  1| Angus Young|     Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|     0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|     3|   Metallica|1981|\n","+----+-------+---+------------+-----------+------+------------+----+\n","\n"]}],"source":["# you can rename the column\n","bandsDFMod = bandsDF.withColumnRenamed(\"id\", \"bandId\") \\\n","    .withColumnRenamed(\"name\", \"bandName\")\n","guitaristsBandsDF2 = guitaristsDF.join(bandsDFMod,\n","    guitaristsDF.band == bandsDFMod.bandId, \"inner\").orderBy(\"name\")\n","guitaristsBandsDF2.show(3)\n","\n","# there are other options but it is the best practice if it is possible"]},{"cell_type":"markdown","metadata":{"id":"WyFeqM1yxWcn"},"source":["Left Outer = everything in the inner join + all the rows in the LEFT DF, with nulls in where the data is missing"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":917,"status":"ok","timestamp":1670436780904,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"wRt01JY-xWcn","outputId":"0fd6dff7-42d4-4ae2-febe-f71876426f5f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+--------+------+------------+----+\n","|band|guitars| id|        name|hometown|bandId|    bandName|year|\n","+----+-------+---+------------+--------+------+------------+----+\n","|   1|    [1]|  1| Angus Young|  Sydney|     1|       AC/DC|1973|\n","|   2| [1, 5]|  2|Eric Clapton|    null|  null|        null|null|\n","|   0|    [0]|  0|  Jimmy Page|  London|     0|Led Zeppelin|1968|\n","+----+-------+---+------------+--------+------+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["joinCondition2 = guitaristsDF.band == bandsDFMod.bandId\n","guitaristsDF.join(bandsDFMod, joinCondition2, \"left_outer\").orderBy(\"name\").show(3)\n","# see nulls on Eric Calpton"]},{"cell_type":"markdown","metadata":{"id":"jx7loGmOxWcn"},"source":["  Right Outer = everything in the inner join + all the rows in the RIGHT DF, with nulls in where the data is missing\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":487,"status":"ok","timestamp":1670436782239,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"H0t5qxmDxWcn","outputId":"c268f3f6-19c1-4aff-f182-f0cd80b040d3"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+----+-----------+---------+------+------------+----+\n","|band|guitars|  id|       name| hometown|bandId|    bandName|year|\n","+----+-------+----+-----------+---------+------+------------+----+\n","|null|   null|null|       null|Liverpool|     4| The Beatles|1960|\n","|   1|    [1]|   1|Angus Young|   Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|   0| Jimmy Page|   London|     0|Led Zeppelin|1968|\n","+----+-------+----+-----------+---------+------+------------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"right_outer\").orderBy(\"name\").show(3)\n","# see nulls for The Beatles"]},{"cell_type":"markdown","metadata":{"id":"-YP3UfTaxWco"},"source":[" Outer Join = everything in the inner join + all the rows in BOTH DFs, with nulls in where the data is missing\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1614,"status":"ok","timestamp":1670436785314,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"08o47mejxWco","outputId":"37cee475-2da2-4d72-aa7b-c818c4972e0a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+----+------------+---------+------+-----------+----+\n","|band|guitars|  id|        name| hometown|bandId|   bandName|year|\n","+----+-------+----+------------+---------+------+-----------+----+\n","|null|   null|null|        null|Liverpool|     4|The Beatles|1960|\n","|   1|    [1]|   1| Angus Young|   Sydney|     1|      AC/DC|1973|\n","|   2| [1, 5]|   2|Eric Clapton|     null|  null|       null|null|\n","+----+-------+----+------------+---------+------+-----------+----+\n","only showing top 3 rows\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"outer\").orderBy(\"name\").show(3)\n","# see nulls for The Beatles and Eric Clapton"]},{"cell_type":"markdown","metadata":{"id":"tMlhMqhExWco"},"source":["  Semi-joins = everything in the LEFT DF for which there is a row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":481,"status":"ok","timestamp":1670436786026,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"XwLKWOASxWco","outputId":"faa1b781-84a6-4fab-b2b7-32688ed1c65a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   1|    [1]|  1| Angus Young|\n","|   0|    [0]|  0|  Jimmy Page|\n","|   3|    [3]|  3|Kirk Hammett|\n","+----+-------+---+------------+\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"left_semi\").orderBy(\"name\").show(3)\n"]},{"cell_type":"markdown","metadata":{"id":"aiNQKxV5xWco"},"source":["Anti-joins = everything in the LEFT DF for which there is NO row in the right DF satisfying the condition\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":736,"status":"ok","timestamp":1670436787511,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"9jYq8v1exWco","outputId":"de110140-c691-4043-c240-e17af16da907"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+\n","|band|guitars| id|        name|\n","+----+-------+---+------------+\n","|   2| [1, 5]|  2|Eric Clapton|\n","+----+-------+---+------------+\n","\n"]}],"source":["guitaristsDF.join(bandsDFMod, joinCondition2, \"anti\").orderBy(\"name\").show(3)"]},{"cell_type":"markdown","metadata":{"id":"J0Gz1XFuxWcp"},"source":["Cross-join = takes every instance in the LEFT DF and create a new one for every intance in the right DF (not very common)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":896,"status":"ok","timestamp":1670436789370,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"wfrjSgZlxWcp","outputId":"2cb1037a-b7f7-4342-fc83-12a51de0476a"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----+-------+---+------------+-----------+------+------------+----+\n","|band|guitars| id|        name|   hometown|bandId|    bandName|year|\n","+----+-------+---+------------+-----------+------+------------+----+\n","|   0|    [0]|  0|  Jimmy Page|     Sydney|     1|       AC/DC|1973|\n","|   1|    [1]|  1| Angus Young|     Sydney|     1|       AC/DC|1973|\n","|   2| [1, 5]|  2|Eric Clapton|     Sydney|     1|       AC/DC|1973|\n","|   3|    [3]|  3|Kirk Hammett|     Sydney|     1|       AC/DC|1973|\n","|   0|    [0]|  0|  Jimmy Page|     London|     0|Led Zeppelin|1968|\n","|   1|    [1]|  1| Angus Young|     London|     0|Led Zeppelin|1968|\n","|   2| [1, 5]|  2|Eric Clapton|     London|     0|Led Zeppelin|1968|\n","|   3|    [3]|  3|Kirk Hammett|     London|     0|Led Zeppelin|1968|\n","|   0|    [0]|  0|  Jimmy Page|Los Angeles|     3|   Metallica|1981|\n","|   1|    [1]|  1| Angus Young|Los Angeles|     3|   Metallica|1981|\n","|   2| [1, 5]|  2|Eric Clapton|Los Angeles|     3|   Metallica|1981|\n","|   3|    [3]|  3|Kirk Hammett|Los Angeles|     3|   Metallica|1981|\n","|   0|    [0]|  0|  Jimmy Page|  Liverpool|     4| The Beatles|1960|\n","|   1|    [1]|  1| Angus Young|  Liverpool|     4| The Beatles|1960|\n","|   2| [1, 5]|  2|Eric Clapton|  Liverpool|     4| The Beatles|1960|\n","|   3|    [3]|  3|Kirk Hammett|  Liverpool|     4| The Beatles|1960|\n","+----+-------+---+------------+-----------+------+------------+----+\n","\n"]}],"source":["guitaristsDF.crossJoin(bandsDFMod).show(20)"]},{"cell_type":"markdown","metadata":{"id":"h85qdkxcxWcp"},"source":["*Union Join is just an Union (note it only works if both DFs have the same schema)"]},{"cell_type":"markdown","metadata":{"id":"SB3QfnzsxWcp"},"source":["## Exercises\n","1. Read employees.csv, deptmanagers.csv, salaries.csv and titles.csv to a DFs.\n","2. Show all employees and their max salary (there can be different salaries registered for the same employee)\n","3. Show all employees who were never managers. Check it by getting all the managers and checking that they are not in the table\n","4. Find the job titles of the best paid 10 employees in the company (note that there can be different titles registered for the same employee)"]},{"cell_type":"markdown","metadata":{"id":"QqKb-sgFxWcp"},"source":["Exercise 1"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"UxuwHDkyxWcp"},"outputs":[],"source":["employeesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/employees.csv\")\n","salariesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/salaries.csv\")\n","deptManagersDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/deptmanagers.csv\")\n","titlesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/titles.csv\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9dvzFpTBxWcp","outputId":"c3eb56a6-e9eb-4809-9d28-0f12cee2ab1f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|\n","+------+----------+----------+---------+------+----------+\n","| 10010|1963-06-01| Duangkaew| Piveteau|     F|1989-08-24|\n","| 10020|1952-12-24|    Mayuko|  Warwick|     M|1991-01-26|\n","| 10030|1958-07-14|     Elvis|  Demeyer|     M|1994-02-17|\n","+------+----------+----------+---------+------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["employeesDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":711,"status":"ok","timestamp":1670436913257,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"LzHb4bX-xWcp","outputId":"22e31af0-2df4-4e75-8e30-dd6ede1657ef"},"outputs":[{"data":{"text/plain":["30003"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["employeesDF.count()"]},{"cell_type":"markdown","metadata":{"id":"PYtLrSQ2xWcq"},"source":["Exercise 2"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1018,"status":"ok","timestamp":1670436915623,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"7GAjjKMZxWcq","outputId":"69983799-0e5e-4ef9-eb51-6d20babc4a23"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+------+----------+----------+\n","|emp_no|salary| from_date|   to_date|\n","+------+------+----------+----------+\n","|100000| 41408|1991-07-02|1992-07-01|\n","|100000| 43119|1992-07-01|1993-07-01|\n","|100000| 46991|1993-07-01|1994-07-01|\n","|100000| 48751|1994-07-01|1995-07-01|\n","+------+------+----------+----------+\n","only showing top 4 rows\n","\n"]}],"source":["salariesDF.filter(col(\"emp_no\") == 100000).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2450,"status":"ok","timestamp":1670436919549,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"jONdeKMbxWcq","outputId":"4e9c66d4-42ef-4e11-ec36-7a9cef0593e0"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------+\n","|emp_no|maxSalary|\n","+------+---------+\n","|100000|    64961|\n","+------+---------+\n","\n"]}],"source":["maxSalariesPerEmpNoDF = salariesDF.groupBy(\"emp_no\").agg(max(\"salary\").cast(\"long\").alias(\"maxSalary\"))\n","maxSalariesPerEmpNoDF.filter(col(\"emp_no\") == 100000).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2876,"status":"ok","timestamp":1670436923263,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"mP_OSDoHxWcq","outputId":"7d3d67a4-fc06-4cac-d80e-2abc7bc42019"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+------+---------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|emp_no|maxSalary|\n","+------+----------+----------+---------+------+----------+------+---------+\n","|100000|1956-01-11|  Hiroyasu|    Emden|     M|1991-07-02|100000|    64961|\n","|100010|1959-11-06|    Youpyo|   Aamodt|     M|1991-10-04|100010|    71957|\n","|100020|1956-05-20|    Pramod|     Pelc|     M|1987-03-01|100020|    70286|\n","+------+----------+----------+---------+------+----------+------+---------+\n","only showing top 3 rows\n","\n"]}],"source":["employeesSalariesDF = employeesDF.join(maxSalariesPerEmpNoDF, \n","    employeesDF.emp_no == maxSalariesPerEmpNoDF.emp_no, \"inner\")\n","employeesSalariesDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1817,"status":"ok","timestamp":1670436925945,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Yc87lz-pxWcq","outputId":"d9b70d4d-a8fa-45ba-f8a2-dda1c74cfb70"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+---------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|maxSalary|\n","+------+----------+----------+---------+------+----------+---------+\n","|100000|1956-01-11|  Hiroyasu|    Emden|     M|1991-07-02|    64961|\n","|100010|1959-11-06|    Youpyo|   Aamodt|     M|1991-10-04|    71957|\n","|100020|1956-05-20|    Pramod|     Pelc|     M|1987-03-01|    70286|\n","+------+----------+----------+---------+------+----------+---------+\n","only showing top 3 rows\n","\n"]}],"source":["# note it is equivalent to\n","employeesSalariesDF2 = employeesDF.join(maxSalariesPerEmpNoDF, \"emp_no\")\n","employeesSalariesDF2.show(3)"]},{"cell_type":"markdown","metadata":{"id":"RntnapY5xWcq"},"source":["Exercise 3"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":386,"status":"ok","timestamp":1670436927155,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Cx6GhiPnxWcq","outputId":"9f429be9-3d1a-417d-c52f-2575660ec407"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|\n","+------+----------+----------+---------+------+----------+\n","| 10010|1963-06-01| Duangkaew| Piveteau|     F|1989-08-24|\n","| 10020|1952-12-24|    Mayuko|  Warwick|     M|1991-01-26|\n","| 10030|1958-07-14|     Elvis|  Demeyer|     M|1994-02-17|\n","+------+----------+----------+---------+------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["empNeverManagersDF = employeesDF.join(\n","    deptManagersDF,\n","    employeesDF.emp_no == deptManagersDF.emp_no,\n","    \"left_anti\")\n","\n","empNeverManagersDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":617,"status":"ok","timestamp":1670436928936,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"teOO3XjgxWcq","outputId":"d8028035-5646-4465-e132-61e48ed23a28"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|\n","+------+----------+----------+---------+------+----------+\n","| 10010|1963-06-01| Duangkaew| Piveteau|     F|1989-08-24|\n","| 10020|1952-12-24|    Mayuko|  Warwick|     M|1991-01-26|\n","| 10030|1958-07-14|     Elvis|  Demeyer|     M|1994-02-17|\n","+------+----------+----------+---------+------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["# alternatively\n","empNeverManagersDF2 = employeesDF.join(\n","    deptManagersDF,\n","    employeesDF.emp_no != deptManagersDF.emp_no,\n","    \"left_semi\")\n","\n","empNeverManagersDF2.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":895,"status":"ok","timestamp":1670436931249,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"chSByVN4xWcr","outputId":"54db6846-9c82-4c96-fd4a-e75ae2b02cdc"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+-------+------+----------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|dept_no|emp_no| from_date|   to_date|\n","+------+----------+----------+---------+------+----------+-------+------+----------+----------+\n","|110420|1963-07-27|     Oscar| Ghazalie|     M|1992-02-05|   d004|110420|1996-08-30|9999-01-01|\n","|110800|1963-02-07|    Sanjoy|  Quadeer|     F|1986-08-12|   d006|110800|1991-09-12|1994-06-28|\n","|111400|1959-11-09|      Arie|  Staelin|     M|1985-01-01|   d008|111400|1985-01-01|1991-04-08|\n","+------+----------+----------+---------+------+----------+-------+------+----------+----------+\n","\n"]}],"source":["# managers\n","managersDF = employeesDF.join(\n","    deptManagersDF,\n","    employeesDF.emp_no == deptManagersDF.emp_no,\n","    \"inner\")\n","\n","managersDF.show(6)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":540,"status":"ok","timestamp":1670436932770,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"7L7QXliixWcr","outputId":"53d71d46-b4d9-4260-9694-44eef687eb1f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|\n","+------+----------+----------+---------+------+----------+\n","+------+----------+----------+---------+------+----------+\n","\n"]}],"source":["empNeverManagersDF.filter((col(\"first_name\") == \"Oscar\") & (col(\"emp_no\") == 110420)).show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"16hcNitfxWcr"},"outputs":[],"source":["# it is fine"]},{"cell_type":"markdown","metadata":{"id":"LSokNABIxWcr"},"source":["Exercise 4"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":477,"status":"ok","timestamp":1670436935341,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"NpXMVC9mxWcr","outputId":"75e9a816-32e5-4aa5-e1ae-9540bbf18bce"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+----------+\n","|emp_no|          title| from_date|   to_date|\n","+------+---------------+----------+----------+\n","| 10040|       Engineer|1993-02-14|1999-02-14|\n","| 10040|Senior Engineer|1999-02-14|9999-01-01|\n","+------+---------------+----------+----------+\n","\n"]}],"source":["titlesDF.filter(col(\"emp_no\") == 10040).show(4)\n","# windowing will be useful for this cases"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1001,"status":"ok","timestamp":1670436937655,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"liHeXAJNxWcr","outputId":"25ef6078-bc95-47ea-8e78-65824b384869"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+-----------+\n","|emp_no|latest_date|\n","+------+-----------+\n","| 10040| 9999-01-01|\n","+------+-----------+\n","\n"]}],"source":["mostRecentJobTitlesDateDF = titlesDF.groupBy(\"emp_no\").agg(max(\"to_date\").alias(\"latest_date\"))\n","mostRecentJobTitlesDateDF.filter(col(\"emp_no\") == 10040).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1249,"status":"ok","timestamp":1670436939162,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"u5iKRDqaxWcr","outputId":"a0be0a65-35c9-4f1c-d704-945dad0bb56c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+\n","|emp_no|          title|   to_date|\n","+------+---------------+----------+\n","| 10010|       Engineer|9999-01-01|\n","| 10020|       Engineer|9999-01-01|\n","| 10030|Senior Engineer|9999-01-01|\n","| 10040|Senior Engineer|9999-01-01|\n","| 10050|   Senior Staff|9999-01-01|\n","| 10060|   Senior Staff|9999-01-01|\n","+------+---------------+----------+\n","only showing top 6 rows\n","\n"]}],"source":["mostRecentJobTitlesDF = titlesDF.join(mostRecentJobTitlesDateDF, (titlesDF.emp_no == mostRecentJobTitlesDateDF.emp_no) \n","    & (titlesDF.to_date == mostRecentJobTitlesDateDF.latest_date), \"semi\").drop(\"from_date\")\n","mostRecentJobTitlesDF.show(6)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1687,"status":"ok","timestamp":1670436948154,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qOA_AuZ2xWcr","outputId":"f665154c-7111-48d3-af40-6ede16f326a6"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+------+---------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|emp_no|maxSalary|\n","+------+----------+----------+---------+------+----------+------+---------+\n","|205000|1956-01-14|  Charmane| Griswold|     M|1990-06-23|205000|   153715|\n","|246120|1961-05-26|      Arnd|    Junot|     F|1985-04-07|246120|   146292|\n","|257360|1955-10-30|   Honglan|  Otillio|     F|1985-12-09|257360|   144748|\n","|107140|1960-05-05|    Ortrud|Diderrich|     M|1987-12-08|107140|   142506|\n","|282030|1963-09-24|     Sergi|   Leslie|     F|1989-10-09|282030|   142184|\n","|282370|1964-05-29|    Cedric|    Rossi|     F|1987-06-06|282370|   141488|\n","|447240|1953-12-25|      Maja|  Riefers|     M|1987-11-06|447240|   140332|\n","|295800|1952-07-14|  Jingling|  Weisert|     F|1986-08-17|295800|   139973|\n","|296250|1961-04-30|    Krisda| Papsdorf|     M|1989-09-21|296250|   138716|\n","|411990|1955-02-23|     Luigi|   Renear|     M|1987-05-02|411990|   138273|\n","+------+----------+----------+---------+------+----------+------+---------+\n","\n"]}],"source":["bestPaidEmployeesDF = employeesSalariesDF.orderBy(col(\"maxSalary\").desc()).limit(10)\n","bestPaidEmployeesDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2511,"status":"ok","timestamp":1670436951013,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"9a-o6iYPxWcs","outputId":"07c02083-e824-4677-85e8-76b6f2a7ff1c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+----------+----------+---------+------+----------+------+---------+------------+----------+\n","|emp_no|birth_date|first_name|last_name|gender| hire_date|emp_no|maxSalary|       title|   to_date|\n","+------+----------+----------+---------+------+----------+------+---------+------------+----------+\n","|107140|1960-05-05|    Ortrud|Diderrich|     M|1987-12-08|107140|   142506|Senior Staff|9999-01-01|\n","|205000|1956-01-14|  Charmane| Griswold|     M|1990-06-23|205000|   153715|Senior Staff|9999-01-01|\n","|246120|1961-05-26|      Arnd|    Junot|     F|1985-04-07|246120|   146292|Senior Staff|9999-01-01|\n","|257360|1955-10-30|   Honglan|  Otillio|     F|1985-12-09|257360|   144748|Senior Staff|9999-01-01|\n","|282030|1963-09-24|     Sergi|   Leslie|     F|1989-10-09|282030|   142184|Senior Staff|9999-01-01|\n","|282370|1964-05-29|    Cedric|    Rossi|     F|1987-06-06|282370|   141488|Senior Staff|9999-01-01|\n","|295800|1952-07-14|  Jingling|  Weisert|     F|1986-08-17|295800|   139973|Senior Staff|9999-01-01|\n","|296250|1961-04-30|    Krisda| Papsdorf|     M|1989-09-21|296250|   138716|Senior Staff|9999-01-01|\n","|411990|1955-02-23|     Luigi|   Renear|     M|1987-05-02|411990|   138273|Senior Staff|9999-01-01|\n","|447240|1953-12-25|      Maja|  Riefers|     M|1987-11-06|447240|   140332|Senior Staff|9999-01-01|\n","+------+----------+----------+---------+------+----------+------+---------+------------+----------+\n","\n"]}],"source":["bestPaidJobsDF = bestPaidEmployeesDF.join(mostRecentJobTitlesDF, \"emp_no\")\n","bestPaidJobsDF.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"aBku8MCExWcs"},"outputs":[],"source":[]}],"metadata":{"colab":{"collapsed_sections":["opA3NFOfxWcm","SB3QfnzsxWcp"],"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/05.WindowPartitioning_UDFs_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/05.WindowPartitioning_UDFs_solved.ipynb
new file mode 100644
index 000000000..97a382e51
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/05.WindowPartitioning_UDFs_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"BNkZfzfxGZ0z"},"source":["# Windows Partitioning"]},{"cell_type":"markdown","metadata":{"id":"AQieQ5pkGfNm"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HelxRmCPGpql"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9Cn3c-ywGtDV"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":39,"status":"ok","timestamp":1670442099775,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"D95sNcJfGvyV","outputId":"2653eff1-49ca-4320-9751-cf5ad29bdc3a"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267684\n","drwxr-xr-x 1 root root      4096 Dec  6 14:35 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qtBMGi7EGvwN"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6JO331NrGvtt"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"markdown","metadata":{"id":"02epIDkbG24d"},"source":["Defining the environment"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qmON5zHJG4-m"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"WgvNJQOAGZ00"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":9098,"status":"ok","timestamp":1670442128571,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"siaPZq4XGZ00","outputId":"525e7ed9-c4cd-4387-cf51-fc2a6069f972"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Window Partitioning\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2863,"status":"ok","timestamp":1670442153333,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nsBkpLh6GZ01","outputId":"7c3c6f13-7451-4a44-91e3-305c9978419c"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://cf1241b3ab55:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Windows Partitioning</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f2608e3d400>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Bqu4fQnNGZ02"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-9DDmYQKGZ02"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"NYrtXWZIHKMt"},"source":["Download datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2lkKBm3CHL-l"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/characters.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/employees.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/salaries.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/deptmanagers.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/titles.csv -P /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/characters.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"sxWVtHu5GZ02"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{},"source":["### Window Partitioning"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JWgnuYZ8GZ02"},"outputs":[],"source":["employeesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/employees.csv\")\n","salariesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/salaries.csv\")\n","deptManagersDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/deptmanagers.csv\")\n","titlesDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/titles.csv\")\n","charactersDF = spark.read.option(\"inferSchema\", \"true\").option(\"header\", \"true\").csv(\"/dataset/characters.csv\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":673,"status":"ok","timestamp":1670442251373,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"m26N92p-GZ02","outputId":"d0ee0fc4-6213-43ff-dc9e-1557814b990b"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+--------+----------+----------+\n","|emp_no|   title| from_date|   to_date|\n","+------+--------+----------+----------+\n","| 10010|Engineer|1996-11-24|9999-01-01|\n","| 10020|Engineer|1997-12-30|9999-01-01|\n","+------+--------+----------+----------+\n","only showing top 2 rows\n","\n"]}],"source":["titlesDF.show(2)"]},{"cell_type":"markdown","metadata":{"id":"O9KiG0PHGZ03"},"source":["Get the last title for the employees"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1183,"status":"ok","timestamp":1670442253888,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"8W89HFrvGZ03","outputId":"06339219-7d05-4739-9889-b26b4d3cc171"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+----------+\n","|emp_no|          title| from_date|   to_date|\n","+------+---------------+----------+----------+\n","| 10040|       Engineer|1993-02-14|1999-02-14|\n","| 10040|Senior Engineer|1999-02-14|9999-01-01|\n","+------+---------------+----------+----------+\n","\n"]}],"source":["titlesDF.filter(col(\"emp_no\") == 10040).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"vJzQSe5pGZ03"},"outputs":[],"source":["# import library\n","from pyspark.sql.window import Window"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3221,"status":"ok","timestamp":1670442257825,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"smIYb3ogGZ03","outputId":"1ad92b06-8204-49f6-ac3d-48eaf05e6e84"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+----------+\n","|emp_no|          title|   to_date|\n","+------+---------------+----------+\n","| 10040|Senior Engineer|9999-01-01|\n","+------+---------------+----------+\n","\n"]}],"source":["# get last title by date for each employee (similar to previous exercise in Joins)\n","byEmployee = Window.partitionBy(\"emp_no\").orderBy(col(\"to_date\").desc())\n","mostRecentJobTitlesDF = titlesDF.withColumn(\"datesOrder\", row_number().over(byEmployee)) \\\n","    .filter(col(\"datesOrder\") == 1) \\\n","    .select(\"emp_no\", \"title\", \"to_date\")\n","\n","mostRecentJobTitlesDF.filter(col(\"emp_no\") == 10040).show(4)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2fcF-z4WGZ03"},"outputs":[],"source":["# for the previous example we saw in joins, if we use windogs partitioning we do not need to do the previous step (filtering max date and then do the join over the same table)"]},{"cell_type":"markdown","metadata":{"id":"Y2uP3Mo-GZ04"},"source":["Get the max salaries (three for example) for job title"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5092,"status":"ok","timestamp":1670442263272,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"LUTvHq4EGZ04","outputId":"6d56f043-b362-44d9-af50-3a990e6b279f"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------------+\n","|salary|          title|\n","+------+---------------+\n","| 72668|Senior Engineer|\n","+------+---------------+\n","\n","+------+---------------+\n","|salary|          title|\n","+------+---------------+\n","| 80324|       Engineer|\n","| 47017|       Engineer|\n","| 88806|Senior Engineer|\n","+------+---------------+\n","only showing top 3 rows\n","\n"]}],"source":["# we need salary data with title data joined first\n","bestPaidPerTitlerawDF = salariesDF.withColumn(\"salary\", col(\"salary\").cast(\"long\")) \\\n","    .join(mostRecentJobTitlesDF, (salariesDF.emp_no == mostRecentJobTitlesDF.emp_no) & (salariesDF.to_date == mostRecentJobTitlesDF.to_date)).drop(\"emp_no\", \"from_date\", \"to_date\")\n","\n","bestPaidPerTitlerawDF.filter(salariesDF.emp_no == 10040).show()\n","bestPaidPerTitlerawDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4259,"status":"ok","timestamp":1670442267529,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Y7-8h-0nGZ04","outputId":"6639ac14-ee81-4949-cfb4-e9a2c05737f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+------------------+-----------+\n","|salary|             title|rank_salary|\n","+------+------------------+-----------+\n","|101622|Assistant Engineer|          1|\n","| 92674|Assistant Engineer|          2|\n","| 92034|Assistant Engineer|          3|\n","|130939|          Engineer|          1|\n","|121819|          Engineer|          2|\n","|120417|          Engineer|          3|\n","+------+------------------+-----------+\n","only showing top 6 rows\n","\n"]}],"source":["# now we apply the window partitioning\n","byTitle = Window.partitionBy(\"title\").orderBy(col(\"salary\").desc())\n","\n","bestPaidPerTitleDF = bestPaidPerTitlerawDF.withColumn(\"rank_salary\", row_number().over(byTitle)).filter(col(\"rank_salary\") <= 3)\n","\n","bestPaidPerTitleDF.show(6)"]},{"cell_type":"markdown","metadata":{},"source":["### UDFs"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["charactersDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["# we define a function to remove the BBY from the birth_year\n","year = udf(lambda s: s[:-3])\n","\n","charactersDF.withColumn(\"year\", year(col(\"birth_year\"))).show(3)"]},{"cell_type":"markdown","metadata":{"id":"IYWyYjXPGZ04"},"source":["## Exercises Window Partitioning\n","1) Load characters.csv to a DataFrame. Then, get the (two) tallest characters per species and per homeworld planet. Select the name, height, and species/homeworld in their case.\n","2) Get the height difference for each character with respect to the smallest one in the same homeworld."]},{"cell_type":"markdown","metadata":{"id":"ndRe6jVQGZ04"},"source":["Exercise 1"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":914,"status":"ok","timestamp":1670442309384,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"O_pDCBgbGZ04","outputId":"c20ad7b6-aa46-4735-862b-8bd66ecebe5c"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------+------+----+----------+-----------+---------+----------+------+---------+-------+\n","|          name|height|mass|hair_color| skin_color|eye_color|birth_year|gender|homeworld|species|\n","+--------------+------+----+----------+-----------+---------+----------+------+---------+-------+\n","|Luke Skywalker|   172|  77|     blond|       fair|     blue|     19BBY|  male| Tatooine|  Human|\n","|         C-3PO|   167|  75|        NA|       gold|   yellow|    112BBY|    NA| Tatooine|  Droid|\n","|         R2-D2|    96|  32|        NA|white, blue|      red|     33BBY|    NA|    Naboo|  Droid|\n","+--------------+------+----+----------+-----------+---------+----------+------+---------+-------+\n","only showing top 3 rows\n","\n"]}],"source":["charactersDF = spark.read.option(\"header\", \"true\").csv(\"/dataset/characters.csv\")\n","\n","charactersDF.show(3)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"y6fs1GeaGZ05"},"outputs":[],"source":["charactersDF = charactersDF.withColumn(\"height\", col(\"height\").cast(\"long\"))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1111,"status":"ok","timestamp":1670442313458,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"0FeesWjgGZ05","outputId":"a0e0e398-6c39-49b8-b971-40d200488b8d"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+------+-----------+---------+\n","|                name|height|  homeworld|  species|\n","+--------------------+------+-----------+---------+\n","|       Ratts Tyerell|    79|Aleen Minor|   Aleena|\n","|     Dexter Jettster|   198|       Ojom| Besalisk|\n","|        Ki-Adi-Mundi|   198|      Cerea|   Cerean|\n","|          Mas Amedda|   196|   Champala| Chagrian|\n","|          Zam Wesell|   168|      Zolan| Clawdite|\n","|               IG-88|   200|         NA|    Droid|\n","|               C-3PO|   167|   Tatooine|    Droid|\n","|             Sebulba|   112|  Malastare|      Dug|\n","|Wicket Systri War...|    88|      Endor|     Ewok|\n","|   Poggle the Lesser|   183|   Geonosis|Geonosian|\n","+--------------------+------+-----------+---------+\n","only showing top 10 rows\n","\n"]}],"source":["bySpecies = Window.partitionBy(\"species\").orderBy(col(\"height\").desc())\n","tallestPerSpeciesDF = charactersDF.withColumn(\"tallest\", row_number().over(bySpecies)).filter(col(\"tallest\") <= 2).select(\"name\", \"height\", \"homeworld\", \"species\")\n","\n","tallestPerSpeciesDF.show(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":937,"status":"ok","timestamp":1670442318035,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JaQV09u2GZ05","outputId":"c6158935-83f5-42e2-abc8-52203e0c2f51"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-------------------+------+--------------+---------+\n","|               name|height|     homeworld|  species|\n","+-------------------+------+--------------+---------+\n","|Bail Prestor Organa|   191|      Alderaan|    Human|\n","|    Raymus Antilles|   188|      Alderaan|    Human|\n","|      Ratts Tyerell|    79|   Aleen Minor|   Aleena|\n","|              Lobot|   175|        Bespin|    Human|\n","|   Jek Tono Porkins|   180|    Bestine IV|    Human|\n","|        Nute Gunray|   191|Cato Neimoidia|Neimodian|\n","|       Ki-Adi-Mundi|   198|         Cerea|   Cerean|\n","|         Mas Amedda|   196|      Champala| Chagrian|\n","|         Mon Mothma|   150|     Chandrila|    Human|\n","|         Jango Fett|   183|  Concord Dawn|    Human|\n","+-------------------+------+--------------+---------+\n","only showing top 10 rows\n","\n"]}],"source":["byHomeworld = Window.partitionBy(\"homeworld\").orderBy(col(\"height\").desc())\n","tallestPerHomeDF = charactersDF.withColumn(\"tallest\", row_number().over(byHomeworld)).filter(col(\"tallest\") <= 2).select(\"name\", \"height\", \"homeworld\", \"species\")\n","\n","tallestPerHomeDF.show(10)"]},{"cell_type":"markdown","metadata":{"id":"7uz7mRJwGZ05"},"source":["Exercise 2"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1574,"status":"ok","timestamp":1670442324492,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"gfjsgoLXGZ05","outputId":"b9219e27-414e-4841-b29b-d4f56cff04a3"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------------------+------+----+------------+-------------+---------+----------+------+--------------+----------+-----------+\n","|                name|height|mass|  hair_color|   skin_color|eye_color|birth_year|gender|     homeworld|   species|height_diff|\n","+--------------------+------+----+------------+-------------+---------+----------+------+--------------+----------+-----------+\n","| Bail Prestor Organa|   191|  NA|       black|          tan|    brown|     67BBY|  male|      Alderaan|     Human|         41|\n","|     Raymus Antilles|   188|  79|       brown|        light|    brown|        NA|  male|      Alderaan|     Human|         38|\n","|         Leia Organa|   150|  49|       brown|        light|    brown|     19BBY|female|      Alderaan|     Human|          0|\n","|       Ratts Tyerell|    79|  15|        none|   grey, blue|       NA|        NA|  male|   Aleen Minor|    Aleena|          0|\n","|               Lobot|   175|  79|        none|        light|     blue|     37BBY|  male|        Bespin|     Human|          0|\n","|    Jek Tono Porkins|   180| 110|       brown|         fair|     blue|        NA|  male|    Bestine IV|     Human|          0|\n","|         Nute Gunray|   191|  90|        none|mottled green|      red|        NA|  male|Cato Neimoidia| Neimodian|          0|\n","|        Ki-Adi-Mundi|   198|  82|       white|         pale|   yellow|     92BBY|  male|         Cerea|    Cerean|          0|\n","|          Mas Amedda|   196|  NA|        none|         blue|     blue|        NA|  male|      Champala|  Chagrian|          0|\n","|          Mon Mothma|   150|  NA|      auburn|         fair|     blue|     48BBY|female|     Chandrila|     Human|          0|\n","|          Jango Fett|   183|  79|       black|          tan|    brown|     66BBY|  male|  Concord Dawn|     Human|          0|\n","|            Han Solo|   180|  80|       brown|         fair|    brown|     29BBY|  male|      Corellia|     Human|         10|\n","|      Wedge Antilles|   170|  77|       brown|         fair|    hazel|     21BBY|  male|      Corellia|     Human|          0|\n","|          Adi Gallia|   184|  50|        none|         dark|     blue|        NA|female|     Coruscant|Tholothian|         17|\n","|       Finis Valorum|   170|  NA|       blond|         fair|     blue|     91BBY|  male|     Coruscant|     Human|          3|\n","|          Jocasta Nu|   167|  NA|       white|         fair|     blue|        NA|female|     Coruscant|     Human|          0|\n","|          Darth Maul|   175|  80|        none|          red|   yellow|     54BBY|  male|      Dathomir|    Zabrak|          0|\n","|            Plo Koon|   188|  80|        none|       orange|    black|     22BBY|  male|         Dorin|   Kel Dor|          0|\n","|Wicket Systri War...|    88|  20|       brown|        brown|    brown|      8BBY|  male|         Endor|      Ewok|          0|\n","|      Wilhuff Tarkin|   180|  NA|auburn, grey|         fair|     blue|     64BBY|  male|        Eriadu|     Human|          0|\n","+--------------------+------+----+------------+-------------+---------+----------+------+--------------+----------+-----------+\n","only showing top 20 rows\n","\n"]}],"source":["byHomeworldAsc = Window.partitionBy(\"homeworld\").orderBy(col(\"height\").asc())\n","\n","\n","diffHeightDF = charactersDF \\\n","  .withColumn(\"height_diff\", col(\"height\") - min(col(\"height\")).over(byHomeworldAsc)) \\\n","  .orderBy(col(\"homeworld\"), col(\"height\").desc()) \\\n","  .show(20)"]},{"cell_type":"markdown","metadata":{},"source":["## Exercises UDFs\n","1. Choose one of the DFs we have, define two UDFs of your own, and apply them (with a withColumn) on the DF. Show the results "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"EdA3Q2K3GZ05"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/06.Partitioning_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/06.Partitioning_solved.ipynb
new file mode 100644
index 000000000..002cc47cb
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/06.Partitioning_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"BNkZfzfxGZ0z"},"source":["# Partitioning"]},{"cell_type":"markdown","metadata":{"id":"AQieQ5pkGfNm"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"HelxRmCPGpql"},"source":["Install Spark and Java in VM"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":57405,"status":"ok","timestamp":1670666888439,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"9Cn3c-ywGtDV"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27,"status":"ok","timestamp":1670666888440,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"D95sNcJfGvyV","outputId":"7b823201-ab1c-4452-d091-bb995fd23e6e"},"outputs":[{"name":"stdout","output_type":"stream","text":["total 267680\n","drwxr-xr-x 1 root root      4096 Dec  8 14:36 \u001b[0m\u001b[01;34msample_data\u001b[0m/\n","-rw-r--r-- 1 root root 274099817 Oct 15 10:53 spark-3.3.1-bin-hadoop2.tgz\n"]}],"source":["ls -l # check the .tgz is there"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":2865,"status":"ok","timestamp":1670666891295,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qtBMGi7EGvwN"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":4334,"status":"ok","timestamp":1670666895619,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"6JO331NrGvtt"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"markdown","metadata":{"id":"02epIDkbG24d"},"source":["Defining the environment"]},{"cell_type":"code","execution_count":5,"metadata":{"executionInfo":{"elapsed":19,"status":"ok","timestamp":1670666895620,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qmON5zHJG4-m"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"WgvNJQOAGZ00"},"source":["Start Spark Session\n","\n","---"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":6346,"status":"ok","timestamp":1670666901951,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"siaPZq4XGZ00","outputId":"517fa3d4-7f52-4b7b-f33a-b27ecef9a830"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Window Partitioning Exercises\") \\\n","        .master(\"local[*]\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":2348,"status":"ok","timestamp":1670666904291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"nsBkpLh6GZ01","outputId":"8b85e798-6e00-4c6f-c200-9f257dec4f76"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://771c95d68c87:4040\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Window Partitioning Exercises</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7f67255ec970>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":8,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1670666904291,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Bqu4fQnNGZ02"},"outputs":[],"source":["# For Pandas conversion optimization\n","spark.conf.set(\"spark.sql.execution.arrow.enabled\", \"true\")"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1670666904292,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"-9DDmYQKGZ02"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"markdown","metadata":{"id":"NYrtXWZIHKMt"},"source":["Download datasets"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2526,"status":"ok","timestamp":1670666906811,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"2lkKBm3CHL-l","outputId":"df5bac53-e576-4134-8560-d1fe2b81e002"},"outputs":[{"name":"stdout","output_type":"stream","text":["bank.csv  characters.csv  planets.csv  species.csv  vehicles.csv\n"]}],"source":["!mkdir -p /dataset\n","!wget -q https://github.com/masfworld/datahack_docker/raw/master/zeppelin/data/characters.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"d1tEe9JCILAe"},"source":["## Examples"]},{"cell_type":"markdown","metadata":{"id":"HWlZ5puMLqvX"},"source":["### Patitioning"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":8328,"status":"ok","timestamp":1670666915136,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"B10rScPeIOCn"},"outputs":[],"source":["# Load characters CSV\n","charactersDF = spark.read.option(\"inferSchema\", \"true\").option(\"header\", \"true\").csv(\"/dataset/characters.csv\")"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1489,"status":"ok","timestamp":1670666916608,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"_z47cLpVJQgV","outputId":"3df2be0d-f74d-4118-8b7a-e82fc900c949"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|   87|\n","+-----------+-----+\n","\n"]}],"source":["# Show how the data is partitioned now\n","charactersDF \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"count\").desc()) \\\n","  .show()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1525,"status":"ok","timestamp":1670666918132,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"NGfdi2WhJQeH","outputId":"4c872e9c-45ef-47e1-c092-87cd3e206764"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|    4|\n","|          1|    4|\n","|          2|    4|\n","|          3|    4|\n","|          4|    4|\n","|          5|    4|\n","|          6|    4|\n","|          7|    4|\n","|          8|    4|\n","|          9|    5|\n","|         10|    5|\n","|         11|    5|\n","|         12|    5|\n","|         13|    5|\n","|         14|    5|\n","|         15|    5|\n","|         16|    4|\n","|         17|    4|\n","|         18|    4|\n","|         19|    4|\n","+-----------+-----+\n","\n"]}],"source":["# We will now repartition the DF to 20 partitions\n","charactersRepDF = charactersDF.repartition(20)\n","charactersRepDF \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"partitionId\")) \\\n","  .show()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":706,"status":"ok","timestamp":1670666918833,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"sEwePVEfJvMN","outputId":"ab472f88-1eb1-4d87-bdcc-f4cbf77268f9"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+-----+\n","|partitionId|count|\n","+-----------+-----+\n","|          0|   17|\n","|          1|   18|\n","|          2|   18|\n","|          3|   17|\n","|          4|   17|\n","+-----------+-----+\n","\n"]}],"source":["# Now we can use coalesce to reduce the number of partitions\n","charactersRepDF \\\n","  .coalesce(5) \\\n","  .withColumn(\"partitionId\", spark_partition_id()) \\\n","  .groupBy(\"partitionId\") \\\n","  .count() \\\n","  .orderBy(col(\"partitionId\")) \\\n","  .show()"]},{"cell_type":"markdown","metadata":{},"source":["## Partitioning Exercises"]},{"cell_type":"markdown","metadata":{},"source":["1. Try repartition/colaesce yourself"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3.10.0 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/notebooks_solved/07.TaxiExercise_solved.ipynb b/PROFESORES/PYSPARK/notebooks_solved/07.TaxiExercise_solved.ipynb
new file mode 100644
index 000000000..a792effb1
--- /dev/null
+++ b/PROFESORES/PYSPARK/notebooks_solved/07.TaxiExercise_solved.ipynb
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","metadata":{"id":"P0VSNugGxYj4"},"source":["# Taxi Exercise"]},{"cell_type":"markdown","metadata":{"id":"fhqHAQWiyLZA"},"source":["## Prerrequisites"]},{"cell_type":"markdown","metadata":{"id":"O-nP6sc6xgbg"},"source":["Install Java and Spark in VM"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":73671,"status":"ok","timestamp":1675880362086,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"JRywFs7DxgOQ"},"outputs":[],"source":["# install Java8\n","!apt-get install openjdk-8-jdk-headless -qq > /dev/null\n","# download spark 3.5.0\n","!wget -q https://apache.osuosl.org/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":21,"metadata":{"executionInfo":{"elapsed":6533,"status":"ok","timestamp":1675880368614,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"w8zwZ4GWxtMI"},"outputs":[],"source":["# unzip it\n","!tar xf spark-3.5.0-bin-hadoop3.tgz"]},{"cell_type":"code","execution_count":22,"metadata":{"executionInfo":{"elapsed":4962,"status":"ok","timestamp":1675880373536,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"PAG_MdchxuxI"},"outputs":[],"source":["!pip install -q findspark"]},{"cell_type":"code","execution_count":23,"metadata":{"executionInfo":{"elapsed":10,"status":"ok","timestamp":1675880373536,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"BM0GAnLCxwkP"},"outputs":[],"source":["import os\n","os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n","os.environ[\"SPARK_HOME\"] = \"/content/spark-3.5.0-bin-hadoop3\"\n","os.environ[\"PYSPARK_SUBMIT_ARGS\"] = \"--master local[*] pyspark-shell\""]},{"cell_type":"markdown","metadata":{"id":"6AnypwdzxYj7"},"source":["Start Spark Session \n","\n","---"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"CIJ4mkL-xYj7","outputId":"b1103e23-09a8-4c4e-d4ac-11cc01fd3305"},"outputs":[{"data":{"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"},"text/plain":["'3.3.1'"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["import findspark\n","findspark.init(\"spark-3.5.0-bin-hadoop3\")# SPARK_HOME\n","\n","from pyspark.sql import SparkSession\n","\n","# create the session\n","spark = SparkSession \\\n","        .builder \\\n","        .appName(\"Joins\") \\\n","        .master(\"local[*]\") \\\n","        .config(\"spark.ui.port\", \"4500\") \\\n","        .getOrCreate()\n","\n","spark.version"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":219},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"L2BsUYftxYj8","outputId":"60dfc7c8-1e9d-4180-fc37-025c710d22fc"},"outputs":[{"data":{"text/html":["\n","            <div>\n","                <p><b>SparkSession - in-memory</b></p>\n","                \n","        <div>\n","            <p><b>SparkContext</b></p>\n","\n","            <p><a href=\"http://2b7d25804c6b:4500\">Spark UI</a></p>\n","\n","            <dl>\n","              <dt>Version</dt>\n","                <dd><code>v3.3.1</code></dd>\n","              <dt>Master</dt>\n","                <dd><code>local[*]</code></dd>\n","              <dt>AppName</dt>\n","                <dd><code>Joins</code></dd>\n","            </dl>\n","        </div>\n","        \n","            </div>\n","        "],"text/plain":["<pyspark.sql.session.SparkSession at 0x7fdf925bff10>"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["spark"]},{"cell_type":"code","execution_count":26,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1675880373537,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"R6uQC9cJxYj9"},"outputs":[],"source":["# Import sql functions\n","from pyspark.sql.functions import *"]},{"cell_type":"code","execution_count":27,"metadata":{"executionInfo":{"elapsed":1424,"status":"ok","timestamp":1675880374953,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"VegBGDs3yIIH"},"outputs":[],"source":["!mkdir -p dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/taxi_data.csv -P /dataset\n","!wget -q https://raw.githubusercontent.com/paponsro/spark_edem_2324/master/dataset/taxi_zones.csv -P /dataset\n","!ls /dataset"]},{"cell_type":"markdown","metadata":{"id":"Jsnl4Q2NxYj9"},"source":["Load the datasets"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6842,"status":"ok","timestamp":1675880381794,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"KBbu7DMqxYj9","outputId":"39d9a256-0a4f-407a-de0b-62a7ff428d3a"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- VendorID: integer (nullable = true)\n"," |-- tpep_pickup_datetime: timestamp (nullable = true)\n"," |-- tpep_dropoff_datetime: timestamp (nullable = true)\n"," |-- passenger_count: integer (nullable = true)\n"," |-- trip_distance: double (nullable = true)\n"," |-- RatecodeID: integer (nullable = true)\n"," |-- store_and_fwd_flag: string (nullable = true)\n"," |-- PULocationID: integer (nullable = true)\n"," |-- DOLocationID: integer (nullable = true)\n"," |-- payment_type: integer (nullable = true)\n"," |-- fare_amount: double (nullable = true)\n"," |-- extra: double (nullable = true)\n"," |-- mta_tax: double (nullable = true)\n"," |-- tip_amount: double (nullable = true)\n"," |-- tolls_amount: double (nullable = true)\n"," |-- improvement_surcharge: double (nullable = true)\n"," |-- total_amount: double (nullable = true)\n","\n"]}],"source":["taxiDF = spark.read \\\n","    .option(\"header\", \"true\") \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .csv(\"/dataset/taxi_data.csv\")\n","\n","taxiDF.printSchema()"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":347,"status":"ok","timestamp":1675880382138,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"yOnQ1DjhxYj-","outputId":"aa7807d4-9b62-4d23-d164-30c0c49ec496"},"outputs":[{"name":"stdout","output_type":"stream","text":["+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","|VendorID|tpep_pickup_datetime|tpep_dropoff_datetime|passenger_count|trip_distance|RatecodeID|store_and_fwd_flag|PULocationID|DOLocationID|payment_type|fare_amount|extra|mta_tax|tip_amount|tolls_amount|improvement_surcharge|total_amount|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","|       2| 2018-01-24 23:02:56|  2018-01-24 23:10:58|              1|         2.02|         1|                 N|          48|         107|           2|        8.5|  0.5|    0.5|       0.0|         0.0|                  0.3|         9.8|\n","|       2| 2018-01-24 23:57:13|  2018-01-25 00:21:17|              1|        10.13|         1|                 N|          79|         244|           2|       28.5|  0.5|    0.5|       0.0|         0.0|                  0.3|        29.8|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+\n","only showing top 2 rows\n","\n"]}],"source":["taxiDF.show(2)"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":576,"status":"ok","timestamp":1675880382711,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"UtysOEnoxYj-","outputId":"13f2b048-5823-4471-ba4a-9416446e48a9"},"outputs":[{"name":"stdout","output_type":"stream","text":["root\n"," |-- LocationID: integer (nullable = true)\n"," |-- Borough: string (nullable = true)\n"," |-- Zone: string (nullable = true)\n"," |-- service_zone: string (nullable = true)\n","\n"]}],"source":["taxiZonesDF = spark.read \\\n","    .option(\"header\", \"true\") \\\n","    .option(\"inferSchema\", \"true\") \\\n","    .csv(\"/dataset/taxi_zones.csv\")\n","\n","taxiZonesDF.printSchema()"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":966,"status":"ok","timestamp":1675880383675,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"qCYJZpiXxYj-","outputId":"10842c3b-b922-4332-84be-d942246b01a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+-------+--------------------+------------+\n","|LocationID|Borough|                Zone|service_zone|\n","+----------+-------+--------------------+------------+\n","|         1|    EWR|      Newark Airport|         EWR|\n","|         2| Queens|         Jamaica Bay|   Boro Zone|\n","|         3|  Bronx|Allerton/Pelham G...|   Boro Zone|\n","+----------+-------+--------------------+------------+\n","only showing top 3 rows\n","\n"]}],"source":["taxiZonesDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"EjGzj1Rsx3Ns"},"source":["## Exercise"]},{"cell_type":"markdown","metadata":{"id":"JOH-iRShx1cw"},"source":["In this exercise we will be working with two DFs. The first one, taxiDf holds info about taxi rides per 2018 year. And the second, taxiZonesDF, have info about the Zones. Please load the DFs and print the schemas and two (or more) rows for more detailed info.\n","\n","The aim of the exercise is to answer the questions listed below."]},{"cell_type":"markdown","metadata":{"id":"tQaqDr3hxYj_"},"source":["**Questions:**\n","\n"," 1. Which zones have the most pickups/dropoffs overall? Note there are many PULocationIDs per Zone?\n"," 2. What are the peak hours for taxi?\n"," 3. How are the trips distributed by length? Show stats like mean, max, min, etc. \n","    Then get the total trips for less/more than 30 km. Why are people taking the cab? For long or short trips?\n","    You can also try the same with different distances. Which is the expected value for threshold is we want to obtain more or less the same trips in long/short counting?\n"," 4. What are the peak hours for long/short trips?\n"," 5. What are the top 3 pickup/dropoff zones for long/short trips?\n"," 6. How are people paying for the ride, on long/short trips? Hint: the information about how good is the payment is in RatecodeID column.\n"," 7. How is the payment type (RatecodeId) evolving with time (in days)? Hint: use the column with pickup time info.\n","    Get the same info but with avg of ratecode and total trips per day."]},{"cell_type":"markdown","metadata":{"id":"NvllEugwxYj_"},"source":["### Question 1"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7371,"status":"ok","timestamp":1675880391045,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"QuLkCpnQG8t7","outputId":"1a50021d-4ea7-41a8-dd3e-2b0dfda2d140"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------------+----------+---------+--------------------+\n","|PULocationID|totalTrips|  Borough|                Zone|\n","+------------+----------+---------+--------------------+\n","|         237|     15945|Manhattan|Upper East Side S...|\n","|         161|     15255|Manhattan|      Midtown Center|\n","|         236|     13767|Manhattan|Upper East Side N...|\n","+------------+----------+---------+--------------------+\n","only showing top 3 rows\n","\n","+------------+-------------+\n","|PULocationID|ratecodeTotal|\n","+------------+-------------+\n","|         148|         2920|\n","|         243|           42|\n","|         137|         4103|\n","+------------+-------------+\n","only showing top 3 rows\n","\n","+---------+----------+\n","|  Borough|totalTrips|\n","+---------+----------+\n","|Manhattan|    304266|\n","|   Queens|     17712|\n","+---------+----------+\n","only showing top 2 rows\n","\n","+------------+----------+---------+--------------------+\n","|DOLocationID|totalTrips|  Borough|                Zone|\n","+------------+----------+---------+--------------------+\n","|         161|     15099|Manhattan|      Midtown Center|\n","|         236|     14261|Manhattan|Upper East Side N...|\n","|         237|     13754|Manhattan|Upper East Side S...|\n","+------------+----------+---------+--------------------+\n","only showing top 3 rows\n","\n","+---------+----------+\n","|  Borough|totalTrips|\n","+---------+----------+\n","|Manhattan|    296527|\n","|   Queens|     13819|\n","+---------+----------+\n","only showing top 2 rows\n","\n"]}],"source":["\"\"\"\n","Question 1: Which zones have the most pickups/dropoffs overall? Note there are many PULocationIDs per Zone?\n","\"\"\"\n","\n","\"\"\"\n","We can understand the question as getting the most popular zones for PU/DO, each one separately. \n","Or understand it as getting the most popular zones for PU/DO together. In the first case we will have to make two separate .groupBy() + .agg(count()), \n","in the second case, we will do just one. In this exercise we will do it with the first approach only.\n","\"\"\"\n","\n","# First approach\n","# First, we'll do the groupBy per PU, and then, we'll count the totalTrips. We need the join to have the zones info. And we join by PULocationID == LocationID because\n","# these are the columns with \"same\" info in our DFs\n","\n","pickupsByTaxiZonePUDF = taxiDF.groupBy(\"PULocationID\") \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .join(taxiZonesDF, col(\"PULocationID\") == col(\"LocationID\")) \\\n","    .drop(\"LocationID\", \"service_zone\") \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByTaxiZonePUDF.show(3)\n","\n","ratesByTaxiZonePUDF = taxiDF.groupBy(\"PULocationID\") \\\n","    .agg(count(\"RatecodeID\").alias(\"ratecodeTotal\")) \\\n","\n","ratesByTaxiZonePUDF.show(3) \n","\n","# 1b - Now we can group by borough. That's because one Borough have several Zones, and Borough info is more relevant (we think)\n","pickupsByBoroughPUDF = pickupsByTaxiZonePUDF.groupBy(col(\"Borough\")) \\\n","    .agg(sum(col(\"totalTrips\")).alias(\"totalTrips\")) \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByBoroughPUDF.show(2)\n","\n","# Now we have to do the same for DOLocationIDs:\n","pickupsByTaxiZoneDODF = taxiDF.groupBy(\"DOLocationID\") \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .join(taxiZonesDF, col(\"DOLocationID\") == col(\"LocationID\")) \\\n","    .drop(\"LocationID\", \"service_zone\") \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByTaxiZoneDODF.show(3)\n","\n","# 1b - Now we can group by borough.\n","pickupsByBoroughDODF = pickupsByTaxiZoneDODF.groupBy(col(\"Borough\")) \\\n","    .agg(sum(col(\"totalTrips\")).alias(\"totalTrips\")) \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByBoroughDODF.show(2)\n","\n","# Tips: drop and orderBy is just for make it more readable. The logic is groupBy -> agg -> join\n","# We make th count(\"*\") because we want to know EVERY different trips with no nulls in all columns. Depending on what we want, the logic may change at this point."]},{"cell_type":"markdown","metadata":{"id":"-um1G1zKxYkA"},"source":["### Question 2"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4409,"status":"ok","timestamp":1675880395438,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"SbjPIK6cG8t8","outputId":"4c003f62-7a96-492b-b6d7-a1abf9075010"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+----------+\n","|hour_of_day|totalTrips|\n","+-----------+----------+\n","|         16|     22121|\n","|         17|     21598|\n","|         19|     20884|\n","+-----------+----------+\n","only showing top 3 rows\n","\n"]}],"source":["\"\"\"\n","Question 2: What are the peak hours for taxi?\n","\"\"\"\n","\n","\"\"\"\n","This is similar to the previous exercise. The only difference will be we have to group by hour this time. As we don't have the hour info directly in our DF, we have\n","to process the tpep_pickup_datetime column first. The rest of the logic will be the same.\n","\"\"\"\n","\n","pickupsByHourDF = taxiDF \\\n","    .withColumn(\"hour_of_day\", hour(col(\"tpep_pickup_datetime\"))) \\\n","    .groupBy(\"hour_of_day\") \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByHourDF.show(3)"]},{"cell_type":"markdown","metadata":{"id":"Hn_hf8VOxYkB"},"source":["### Question 3"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2257,"status":"ok","timestamp":1675880397690,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"q58mLZ1zG8t8","outputId":"85ae766b-88e3-4203-c476-4a190f074861"},"outputs":[{"name":"stdout","output_type":"stream","text":["+------+---------+------------------+------------------+---+----+\n","| count|threshold|              mean|            stddev|min| max|\n","+------+---------+------------------+------------------+---+----+\n","|331893|       30|2.7179894423805155|3.4851522248851214|0.0|66.0|\n","+------+---------+------------------+------------------+---+----+\n","\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+------+\n","|VendorID|tpep_pickup_datetime|tpep_dropoff_datetime|passenger_count|trip_distance|RatecodeID|store_and_fwd_flag|PULocationID|DOLocationID|payment_type|fare_amount|extra|mta_tax|tip_amount|tolls_amount|improvement_surcharge|total_amount|isLong|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+------+\n","|       2| 2018-01-24 23:02:56|  2018-01-24 23:10:58|              1|         2.02|         1|                 N|          48|         107|           2|        8.5|  0.5|    0.5|       0.0|         0.0|                  0.3|         9.8| false|\n","|       2| 2018-01-24 23:57:13|  2018-01-25 00:21:17|              1|        10.13|         1|                 N|          79|         244|           2|       28.5|  0.5|    0.5|       0.0|         0.0|                  0.3|        29.8| false|\n","+--------+--------------------+---------------------+---------------+-------------+----------+------------------+------------+------------+------------+-----------+-----+-------+----------+------------+---------------------+------------+------+\n","only showing top 2 rows\n","\n","+------+------+\n","|isLong| count|\n","+------+------+\n","|  true|    83|\n","| false|331810|\n","+------+------+\n","\n"]}],"source":["\"\"\"\n","Question 3: How are the trips distributed by length? Show stats like mean, max, min, etc.\n","Then get the total trips for less/more than 30 km. Why are people taking the cab? For long or short trips?\n","You can also try the same with different distances. Which is the expected value for threshold is we want to obtain more or less the same trips in long/short counting?\n","\"\"\"\n","\n","\"\"\"\n","In this case we want to obtain data about one of the attributes of the df, the distance (trip_distance). \n","So we will make a select of that particular column and then apply the corresponding aggregations (count, average, etc).\n","\"\"\"\n","\n","# Select stats for taxiDF\n","tripDistanceDF = taxiDF.select(col(\"trip_distance\").alias(\"distance\"))\n","tripDistanceStatsDF = tripDistanceDF.select(\n","    count(\"*\").alias(\"count\"),\n","    lit(30).alias(\"threshold\"),\n","    mean(\"distance\").alias(\"mean\"),\n","    stddev(\"distance\").alias(\"stddev\"),\n","    min(\"distance\").alias(\"min\"),\n","    max(\"distance\").alias(\"max\"))\n","tripDistanceStatsDF.show(3)\n","\n","\"\"\"\n","In the second part we want to group by long vs. short trips. But we don't have this data in the DF, so we will first add a flag, \n","to determine if it is long/short. And then we can group by that flag.\n","\"\"\"\n","# We will add a isLong column (flag) with the true/false for long/short rides\n","tripsWithLengthDF = taxiDF.withColumn(\"isLong\", col(\"trip_distance\") >= 30)\n","tripsWithLengthDF.show(2)\n","\n","# As we want to know how many long/short trip are we have to groupBy islong and count()\n","tripsByLengthDF = tripsWithLengthDF.groupBy(\"isLong\").count()\n","tripsByLengthDF.show()"]},{"cell_type":"markdown","metadata":{"id":"ty8IZ-C6xYkC"},"source":["### Question 4"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5897,"status":"ok","timestamp":1675880403579,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"wtgxAuATG8t9","outputId":"d90a2fdd-1cee-48d6-e218-1586e414fd6d"},"outputs":[{"name":"stdout","output_type":"stream","text":["+-----------+------+----------+\n","|hour_of_day|isLong|totalTrips|\n","+-----------+------+----------+\n","|         19|  true|        10|\n","|         17|  true|         9|\n","|          7|  true|         6|\n","|          6|  true|         5|\n","|         12|  true|         5|\n","|         14|  true|         5|\n","|         11|  true|         5|\n","|         21|  true|         5|\n","|          5|  true|         4|\n","|         18|  true|         4|\n","|         10|  true|         3|\n","|         23|  true|         3|\n","|         13|  true|         3|\n","|         20|  true|         3|\n","|          9|  true|         3|\n","|         15|  true|         2|\n","|          8|  true|         2|\n","|         16|  true|         2|\n","|          0|  true|         2|\n","|          1|  true|         1|\n","+-----------+------+----------+\n","only showing top 20 rows\n","\n","+-----------+------+----------+\n","|hour_of_day|isLong|totalTrips|\n","+-----------+------+----------+\n","|         16| false|     22119|\n","|         17| false|     21589|\n","|         19| false|     20874|\n","|         18| false|     20314|\n","|         20| false|     19525|\n","|          6| false|     18862|\n","|         15| false|     18662|\n","|         13| false|     17840|\n","|         12| false|     17478|\n","|          7| false|     16834|\n","|         14| false|     16155|\n","|         11| false|     16077|\n","|         10| false|     15998|\n","|          9| false|     15561|\n","|          5| false|     15441|\n","|          8| false|     15346|\n","|         21| false|     14647|\n","|          4| false|      8600|\n","|         22| false|      7049|\n","|         23| false|      3975|\n","+-----------+------+----------+\n","only showing top 20 rows\n","\n"]}],"source":["\"\"\"\n","Question 4: What are the peak hours for long/short trips?\n","\"\"\"\n","\n","\"\"\"\n","In this exercise the logic is something like a mix of the two previous ones. On the one hand we want to group by long/short trips (the previous flag), \n","and on the other hand by hours. So we will use the DF that we have created previously with the flag (e.g. 3), modify the time column as we have done in e.g. 2; \n","and then we can group by (hours, long/short). Note that in this case the groupBy will be done by both columns.\n","\"\"\"\n","\n","# We will use the DF created before with isLong flag. \n","# Then, we'll groupBy either islong and hour columns and make a count.\n","\n","pickupsByHourByLengthDF = tripsWithLengthDF \\\n","    .withColumn(\"hour_of_day\", hour(col(\"tpep_pickup_datetime\"))) \\\n","    .groupBy(\"hour_of_day\", \"isLong\") \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","pickupsByHourByLengthDF.filter(col(\"isLong\") == True).show()\n","pickupsByHourByLengthDF.filter(col(\"isLong\") == False).show()"]},{"cell_type":"markdown","metadata":{"id":"ChmRlWgIxYkD"},"source":["### Question 5"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4559,"status":"ok","timestamp":1675880408136,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"Tuag3XtIG8t9","outputId":"1f1ba25b-659e-4eff-8b4b-daa507f89ff3"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+--------------------+\n","|totalTrips|         Pickup_Zone|\n","+----------+--------------------+\n","|     15945|Upper East Side S...|\n","|     15255|      Midtown Center|\n","|     13767|Upper East Side N...|\n","|     13715|        Midtown East|\n","|     11702|         Murray Hill|\n","|     11488|            Union Sq|\n","|     11455|Times Sq/Theatre ...|\n","|     10319|Penn Station/Madi...|\n","|     10091|        Clinton East|\n","|      9845|       Midtown North|\n","+----------+--------------------+\n","only showing top 10 rows\n","\n","+----------+--------------------+\n","|totalTrips|        Dropoff_Zone|\n","+----------+--------------------+\n","|     15099|      Midtown Center|\n","|     14261|Upper East Side N...|\n","|     13754|Upper East Side S...|\n","|     11239|         Murray Hill|\n","|     11090|        Midtown East|\n","|     10054|Times Sq/Theatre ...|\n","|      9929|            Union Sq|\n","|      8666| Lincoln Square East|\n","|      8594|       Midtown North|\n","|      8258|        Clinton East|\n","+----------+--------------------+\n","only showing top 10 rows\n","\n","+----------+--------------------+--------------------+\n","|totalTrips|         Pickup_Zone|        Dropoff_Zone|\n","+----------+--------------------+--------------------+\n","|      5561|                  NV|                  NV|\n","|      2425|Upper East Side S...|Upper East Side N...|\n","|      1962|Upper East Side N...|Upper East Side S...|\n","|      1944|Upper East Side N...|Upper East Side N...|\n","|      1928|Upper East Side S...|Upper East Side S...|\n","|      1052|Upper East Side S...|      Midtown Center|\n","|      1012|Upper East Side S...|        Midtown East|\n","|       987|      Midtown Center|Upper East Side S...|\n","|       965|Upper West Side S...|Upper West Side N...|\n","|       882|      Midtown Center|      Midtown Center|\n","+----------+--------------------+--------------------+\n","only showing top 10 rows\n","\n"]}],"source":["\"\"\"\n","Question 5: What are the top 3 pickup/dropoff zones for long/short trips?\n","\"\"\"\n","\n","\"\"\"\n","Again, we are going to use the DF we created with the long/short flag. But in this case we also want to group by zones. \n","Similar to what we have seen in exercise 1, we can see it as PU/Do zones separately, or at the same time.\n","\"\"\"\n","\n","\"\"\"\n","Let's see the first approach (separately).\n","\"\"\"\n","# We will use again the DF with isLong info.\n","# If we understand the question as PU and DO popularity seprated, we will have two DFs, one per each.\n","\n","PUPopularDF = tripsWithLengthDF.groupBy(\"PULocationID\").agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .join(taxiZonesDF, col(\"PULocationID\") == col(\"LocationID\")) \\\n","    .withColumnRenamed(\"Zone\", \"Pickup_Zone\") \\\n","    .drop(\"LocationID\", \"Borough\", \"service_zone\", \"PULocationID\") \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","PUPopularDF.show(10)\n","\n","DOPopularDF = tripsWithLengthDF.groupBy(\"DOLocationID\").agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .join(taxiZonesDF, col(\"DOLocationID\") == col(\"LocationID\")) \\\n","    .withColumnRenamed(\"Zone\", \"Dropoff_Zone\") \\\n","    .drop(\"LocationID\", \"Borough\", \"service_zone\") \\\n","    .drop(\"DOLocationID\") \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","DOPopularDF.show(10)\n","\n","# If we want just the three first Rows we can also do a .limit(3) instead of .show()\n","\n","\"\"\"\n","For the second approach, we have to do the groupBy for the two columns and two joins, one for PU and one for DO.\n","\"\"\"\n","\n","PUandDOPopularDF = tripsWithLengthDF.groupBy(\"PULocationID\", \"DOLocationID\").agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .join(taxiZonesDF, col(\"PULocationID\") == col(\"LocationID\")) \\\n","    .withColumnRenamed(\"Zone\", \"Pickup_Zone\") \\\n","    .drop(\"LocationID\", \"Borough\", \"service_zone\") \\\n","    .join(taxiZonesDF, col(\"DOLocationID\") == col(\"LocationID\")) \\\n","    .withColumnRenamed(\"Zone\", \"Dropoff_Zone\") \\\n","    .drop(\"LocationID\", \"Borough\", \"service_zone\") \\\n","    .drop(\"PULocationID\", \"DOLocationID\") \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","PUandDOPopularDF.show(10)"]},{"cell_type":"markdown","metadata":{"id":"vEGDhOIpxYkE"},"source":["### Question 6"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1978,"status":"ok","timestamp":1675880410105,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"fnkGVElvG8t9","outputId":"0c576cf8-3867-4816-e13c-924b000f5ba7"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+\n","|RatecodeID|\n","+----------+\n","|         1|\n","|         6|\n","|         3|\n","|         5|\n","|         4|\n","|         2|\n","|        99|\n","+----------+\n","\n","+----------+----------+\n","|RatecodeID|totalTrips|\n","+----------+----------+\n","|         1|    324387|\n","|         2|      5878|\n","|         5|       895|\n","|         3|       530|\n","|         4|       193|\n","|        99|         7|\n","|         6|         3|\n","+----------+----------+\n","\n"]}],"source":["\"\"\"\n","Question 6: How are people paying for the ride, on long/short trips? Hint: the information about how good is the payment is in RatecodeID column.\n","\"\"\"\n","\n","\"\"\"\n","We can first inspect the RatecodeID column to see what information it provides. And then we simply do a .groupBy() + .agg(count()) as usual.\n","\"\"\"\n","\n","# The RatecodeID columns has the info about how good is the payment.\n","taxiDF.select(\"RatecodeID\").distinct().show()\n","\n","ratecodeDistributionDF = taxiDF \\\n","    .groupBy(col(\"RatecodeID\")).agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .orderBy(col(\"totalTrips\").desc())\n","\n","ratecodeDistributionDF.show()"]},{"cell_type":"markdown","metadata":{"id":"tLf0Rms-xYkF"},"source":["### Question 7"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6861,"status":"ok","timestamp":1675880416965,"user":{"displayName":"Pablo Pons","userId":"14943288678703205331"},"user_tz":-60},"id":"UwPTJgO7xYkG","outputId":"84c2bbed-1d56-455b-9252-649360a0e016"},"outputs":[{"name":"stdout","output_type":"stream","text":["+----------+----------+----------+\n","|pickup_day|RatecodeID|totalTrips|\n","+----------+----------+----------+\n","|2018-01-24|         1|     10760|\n","|2018-01-24|         2|       174|\n","|2018-01-24|         5|        80|\n","|2018-01-24|         3|         4|\n","|2018-01-24|         4|         9|\n","|2018-01-24|         6|         1|\n","|2018-01-25|        99|         7|\n","|2018-01-25|         3|       526|\n","|2018-01-25|         5|       815|\n","|2018-01-25|         2|      5704|\n","|2018-01-25|         1|    313627|\n","|2018-01-25|         4|       184|\n","|2018-01-25|         6|         2|\n","+----------+----------+----------+\n","\n","+----------+----------+------------------+\n","|pickup_day|totalTrips|           avgRate|\n","+----------+----------+------------------+\n","|2018-01-25|    320865|17.142857142857142|\n","|2018-01-24|     11028|               3.5|\n","+----------+----------+------------------+\n","\n","+-----------+----------+----------+\n","|pickup_hour|RatecodeID|totalTrips|\n","+-----------+----------+----------+\n","|          0|         1|      2514|\n","|          0|         5|        20|\n","|          0|         2|         2|\n","|          0|         3|         1|\n","|          0|         4|         1|\n","|          1|         2|        15|\n","|          1|         5|        19|\n","|          1|         1|      1572|\n","|          1|         4|         1|\n","|          1|         3|         3|\n","|          2|         3|        11|\n","|          2|         5|        17|\n","|          2|         1|      1498|\n","|          2|         4|         1|\n","|          2|         2|        59|\n","|          3|         1|      2894|\n","|          3|         3|        27|\n","|          3|         2|       200|\n","|          3|         5|        12|\n","|          4|         3|        23|\n","+-----------+----------+----------+\n","only showing top 20 rows\n","\n","+-----------+----------+------------------+\n","|pickup_hour|totalTrips|           avgRate|\n","+-----------+----------+------------------+\n","|          0|      2538|               3.0|\n","|          1|      1610|               3.0|\n","|          2|      1586|               3.0|\n","|          3|      3133|              2.75|\n","|          4|      8600|               3.0|\n","|          5|     15445|               3.0|\n","|          6|     18867|               3.0|\n","|          7|     16840|               3.0|\n","|          8|     15348|               3.0|\n","|          9|     15564|              19.0|\n","|         10|     16001|              19.0|\n","|         11|     16082|17.142857142857142|\n","|         12|     17483|               3.0|\n","|         13|     17843|               3.5|\n","|         14|     16160|               3.0|\n","|         15|     18664|               3.0|\n","|         16|     22121|               3.0|\n","|         17|     21598|              19.0|\n","|         18|     20318|               3.0|\n","|         19|     20884|              19.0|\n","+-----------+----------+------------------+\n","only showing top 20 rows\n","\n"]}],"source":["\"\"\"\n","Question 7: How is the payment type (RatecodeId) evolving with time (in days)? Hint: use the column with pickup time info.\n","Get the same info but with avg of ratecode and total trips per day.\n","\"\"\"\n","\n","\"\"\"\n","For the day we will use tpep_pickup_datetime column. We have to remove the time info from it in order to do the groupBy, \n","so we will do a to_date.\n","\"\"\"\n","\n","# We have to group by pickup time and ratecode this time.\n","ratecodeEvolution = taxiDF \\\n","    .withColumn(\"pickup_day\", to_date(col(\"tpep_pickup_datetime\"))) \\\n","    .groupBy(col(\"pickup_day\"), col(\"RatecodeID\")) \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .orderBy(col(\"pickup_day\"))\n","\n","ratecodeEvolution.show()\n","\n","# Now we can get the avg ratecode per day.\n","ratecodeEvolutionAvg = ratecodeEvolution.groupBy(\"pickup_day\").agg(sum(\"totalTrips\").alias(\"totalTrips\"), avg(\"RatecodeID\").alias(\"avgRate\"))\n","\n","ratecodeEvolutionAvg.show()\n","\n","\n","\"\"\"\n","We can do the same for hours (just fyi, not in question). First we'll do the same as in exercise 2. And then, we'll do the average.\n","\"\"\"\n","# And the same for hours\n","ratecodeEvolutionPerHour = taxiDF \\\n","    .withColumn(\"hour_of_day\", hour(col(\"tpep_pickup_datetime\"))) \\\n","    .groupBy(col(\"hour_of_day\").alias(\"pickup_hour\"), col(\"RatecodeID\")) \\\n","    .agg(count(\"*\").alias(\"totalTrips\")) \\\n","    .orderBy(col(\"pickup_hour\"))\n","\n","ratecodeEvolutionPerHour.show()\n","\n","# Now we agg in the same way to obtain avg rate and total trips.\n","ratecodeEvolutionPerHourAvg = ratecodeEvolutionPerHour.groupBy(\"pickup_hour\") \\\n","    .agg(sum(\"totalTrips\").alias(\"totalTrips\"), avg(\"RatecodeID\").alias(\"avgRate\")).orderBy(\"pickup_hour\")\n","\n","ratecodeEvolutionPerHourAvg.show()"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.0"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"ff1af5cda0bea4fe5c4ebc1f94ab9f13d8998f98d08e16d8aba48673b9d00116"}}},"nbformat":4,"nbformat_minor":0}
diff --git a/PROFESORES/PYSPARK/spark-scala/.bsp/sbt.json b/PROFESORES/PYSPARK/spark-scala/.bsp/sbt.json
new file mode 100644
index 000000000..031da5b8e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.bsp/sbt.json
@@ -0,0 +1 @@
+{"name":"sbt","version":"1.9.7","bspVersion":"2.1.0-M1","languages":["scala"],"argv":["C:\\Program Files\\Java\\jdk-11.0.17/bin/java","-Xms100m","-Xmx100m","-classpath","C:/Users/papon/AppData/Roaming/JetBrains/IdeaIC2021.2/plugins/Scala/launcher/sbt-launch.jar","xsbt.boot.Boot","-bsp","--sbt-launch-jar=C:/Users/papon/AppData/Roaming/JetBrains/IdeaIC2021.2/plugins/Scala/launcher/sbt-launch.jar"]}
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/.gitignore b/PROFESORES/PYSPARK/spark-scala/.idea/.gitignore
new file mode 100644
index 000000000..26d33521a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/.gitignore
@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/codeStyles/codeStyleConfig.xml b/PROFESORES/PYSPARK/spark-scala/.idea/codeStyles/codeStyleConfig.xml
new file mode 100644
index 000000000..a55e7a179
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/codeStyles/codeStyleConfig.xml
@@ -0,0 +1,5 @@
+<component name="ProjectCodeStyleConfiguration">
+  <state>
+    <option name="PREFERRED_PROJECT_CODE_STYLE" value="Default" />
+  </state>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_clearspring_analytics_stream_2_9_6_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_clearspring_analytics_stream_2_9_6_jar.xml
new file mode 100644
index 000000000..b14323d31
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_clearspring_analytics_stream_2_9_6_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.clearspring.analytics:stream:2.9.6:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/clearspring/analytics/stream/2.9.6/stream-2.9.6.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/clearspring/analytics/stream/2.9.6/stream-2.9.6-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/clearspring/analytics/stream/2.9.6/stream-2.9.6-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_kryo_shaded_4_0_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_kryo_shaded_4_0_2_jar.xml
new file mode 100644
index 000000000..00abaebb1
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_kryo_shaded_4_0_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.esotericsoftware:kryo-shaded:4.0.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/kryo-shaded/4.0.2/kryo-shaded-4.0.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/kryo-shaded/4.0.2/kryo-shaded-4.0.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/kryo-shaded/4.0.2/kryo-shaded-4.0.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_minlog_1_3_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_minlog_1_3_0_jar.xml
new file mode 100644
index 000000000..cf830b382
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_esotericsoftware_minlog_1_3_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.esotericsoftware:minlog:1.3.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/minlog/1.3.0/minlog-1.3.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/minlog/1.3.0/minlog-1.3.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/esotericsoftware/minlog/1.3.0/minlog-1.3.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_annotations_2_12_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_annotations_2_12_3_jar.xml
new file mode 100644
index 000000000..c2df276d6
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_annotations_2_12_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.fasterxml.jackson.core:jackson-annotations:2.12.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-annotations/2.12.3/jackson-annotations-2.12.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-annotations/2.12.3/jackson-annotations-2.12.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-annotations/2.12.3/jackson-annotations-2.12.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_core_2_12_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_core_2_12_3_jar.xml
new file mode 100644
index 000000000..3412ee0f8
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_core_2_12_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.fasterxml.jackson.core:jackson-core:2.12.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-core/2.12.3/jackson-core-2.12.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-core/2.12.3/jackson-core-2.12.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-core/2.12.3/jackson-core-2.12.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_databind_2_12_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_databind_2_12_3_jar.xml
new file mode 100644
index 000000000..b0d6ad839
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_core_jackson_databind_2_12_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.fasterxml.jackson.core:jackson-databind:2.12.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-databind/2.12.3/jackson-databind-2.12.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-databind/2.12.3/jackson-databind-2.12.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/core/jackson-databind/2.12.3/jackson-databind-2.12.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_module_jackson_module_scala_2_12_2_12_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_module_jackson_module_scala_2_12_2_12_3_jar.xml
new file mode 100644
index 000000000..5d6d6b380
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_fasterxml_jackson_module_jackson_module_scala_2_12_2_12_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.fasterxml.jackson.module:jackson-module-scala_2.12:2.12.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/module/jackson-module-scala_2.12/2.12.3/jackson-module-scala_2.12-2.12.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/module/jackson-module-scala_2.12/2.12.3/jackson-module-scala_2.12-2.12.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/fasterxml/jackson/module/jackson-module-scala_2.12/2.12.3/jackson-module-scala_2.12-2.12.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_github_luben_zstd_jni_1_5_0_4_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_github_luben_zstd_jni_1_5_0_4_jar.xml
new file mode 100644
index 000000000..8ade4a8cb
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_github_luben_zstd_jni_1_5_0_4_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.github.luben:zstd-jni:1.5.0-4:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/github/luben/zstd-jni/1.5.0-4/zstd-jni-1.5.0-4.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/github/luben/zstd-jni/1.5.0-4/zstd-jni-1.5.0-4-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/github/luben/zstd-jni/1.5.0-4/zstd-jni-1.5.0-4-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_findbugs_jsr305_3_0_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_findbugs_jsr305_3_0_2_jar.xml
new file mode 100644
index 000000000..e4ac7efaa
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_findbugs_jsr305_3_0_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.code.findbugs:jsr305:3.0.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/findbugs/jsr305/3.0.2/jsr305-3.0.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/findbugs/jsr305/3.0.2/jsr305-3.0.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/findbugs/jsr305/3.0.2/jsr305-3.0.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_gson_gson_2_8_6_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_gson_gson_2_8_6_jar.xml
new file mode 100644
index 000000000..f92c0f141
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_code_gson_gson_2_8_6_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.code.gson:gson:2.8.6:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/gson/gson/2.8.6/gson-2.8.6.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/gson/gson/2.8.6/gson-2.8.6-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/code/gson/gson/2.8.6/gson-2.8.6-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_crypto_tink_tink_1_6_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_crypto_tink_tink_1_6_0_jar.xml
new file mode 100644
index 000000000..0ee3df407
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_crypto_tink_tink_1_6_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.crypto.tink:tink:1.6.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/crypto/tink/tink/1.6.0/tink-1.6.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/crypto/tink/tink/1.6.0/tink-1.6.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/crypto/tink/tink/1.6.0/tink-1.6.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_flatbuffers_flatbuffers_java_1_9_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_flatbuffers_flatbuffers_java_1_9_0_jar.xml
new file mode 100644
index 000000000..465341cdf
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_flatbuffers_flatbuffers_java_1_9_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.flatbuffers:flatbuffers-java:1.9.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/flatbuffers/flatbuffers-java/1.9.0/flatbuffers-java-1.9.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/flatbuffers/flatbuffers-java/1.9.0/flatbuffers-java-1.9.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/flatbuffers/flatbuffers-java/1.9.0/flatbuffers-java-1.9.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_guava_guava_16_0_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_guava_guava_16_0_1_jar.xml
new file mode 100644
index 000000000..557d67aae
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_guava_guava_16_0_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.guava:guava:16.0.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/guava/guava/16.0.1/guava-16.0.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/guava/guava/16.0.1/guava-16.0.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/guava/guava/16.0.1/guava-16.0.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_protobuf_protobuf_java_3_14_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_protobuf_protobuf_java_3_14_0_jar.xml
new file mode 100644
index 000000000..bb0da0bed
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_google_protobuf_protobuf_java_3_14_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.google.protobuf:protobuf-java:3.14.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/protobuf/protobuf-java/3.14.0/protobuf-java-3.14.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/protobuf/protobuf-java/3.14.0/protobuf-java-3.14.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/google/protobuf/protobuf-java/3.14.0/protobuf-java-3.14.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_ning_compress_lzf_1_0_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_ning_compress_lzf_1_0_3_jar.xml
new file mode 100644
index 000000000..246e66b5a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_ning_compress_lzf_1_0_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.ning:compress-lzf:1.0.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/ning/compress-lzf/1.0.3/compress-lzf-1.0.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/ning/compress-lzf/1.0.3/compress-lzf-1.0.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/ning/compress-lzf/1.0.3/compress-lzf-1.0.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_thoughtworks_paranamer_paranamer_2_8_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_thoughtworks_paranamer_paranamer_2_8_jar.xml
new file mode 100644
index 000000000..054a5c9ec
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_thoughtworks_paranamer_paranamer_2_8_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.thoughtworks.paranamer:paranamer:2.8:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/thoughtworks/paranamer/paranamer/2.8/paranamer-2.8.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/thoughtworks/paranamer/paranamer/2.8/paranamer-2.8-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/thoughtworks/paranamer/paranamer/2.8/paranamer-2.8-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_2_12_0_10_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_2_12_0_10_0_jar.xml
new file mode 100644
index 000000000..cb79665c4
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_2_12_0_10_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.twitter:chill_2.12:0.10.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill_2.12/0.10.0/chill_2.12-0.10.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill_2.12/0.10.0/chill_2.12-0.10.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill_2.12/0.10.0/chill_2.12-0.10.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_java_0_10_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_java_0_10_0_jar.xml
new file mode 100644
index 000000000..a2ea971d9
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_twitter_chill_java_0_10_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.twitter:chill-java:0.10.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill-java/0.10.0/chill-java-0.10.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill-java/0.10.0/chill-java-0.10.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/twitter/chill-java/0.10.0/chill-java-0.10.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_univocity_univocity_parsers_2_9_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_univocity_univocity_parsers_2_9_1_jar.xml
new file mode 100644
index 000000000..6af85efed
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__com_univocity_univocity_parsers_2_9_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: com.univocity:univocity-parsers:2.9.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/univocity/univocity-parsers/2.9.1/univocity-parsers-2.9.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/univocity/univocity-parsers/2.9.1/univocity-parsers-2.9.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/com/univocity/univocity-parsers/2.9.1/univocity-parsers-2.9.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_codec_commons_codec_1_15_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_codec_commons_codec_1_15_jar.xml
new file mode 100644
index 000000000..1cd58a373
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_codec_commons_codec_1_15_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-codec:commons-codec:1.15:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-codec/commons-codec/1.15/commons-codec-1.15.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-codec/commons-codec/1.15/commons-codec-1.15-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-codec/commons-codec/1.15/commons-codec-1.15-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_collections_commons_collections_3_2_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_collections_commons_collections_3_2_2_jar.xml
new file mode 100644
index 000000000..db1085157
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_collections_commons_collections_3_2_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-collections:commons-collections:3.2.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-collections/commons-collections/3.2.2/commons-collections-3.2.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-collections/commons-collections/3.2.2/commons-collections-3.2.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-collections/commons-collections/3.2.2/commons-collections-3.2.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_io_commons_io_2_8_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_io_commons_io_2_8_0_jar.xml
new file mode 100644
index 000000000..645f33022
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_io_commons_io_2_8_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-io:commons-io:2.8.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-io/commons-io/2.8.0/commons-io-2.8.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-io/commons-io/2.8.0/commons-io-2.8.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-io/commons-io/2.8.0/commons-io-2.8.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_lang_commons_lang_2_6_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_lang_commons_lang_2_6_jar.xml
new file mode 100644
index 000000000..985857d94
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_lang_commons_lang_2_6_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-lang:commons-lang:2.6:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-lang/commons-lang/2.6/commons-lang-2.6.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-lang/commons-lang/2.6/commons-lang-2.6-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-lang/commons-lang/2.6/commons-lang-2.6-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_logging_commons_logging_1_1_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_logging_commons_logging_1_1_3_jar.xml
new file mode 100644
index 000000000..732c92e97
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_logging_commons_logging_1_1_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-logging:commons-logging:1.1.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-logging/commons-logging/1.1.3/commons-logging-1.1.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-logging/commons-logging/1.1.3/commons-logging-1.1.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-logging/commons-logging/1.1.3/commons-logging-1.1.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_net_commons_net_3_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_net_commons_net_3_1_jar.xml
new file mode 100644
index 000000000..3c2144019
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__commons_net_commons_net_3_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: commons-net:commons-net:3.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-net/commons-net/3.1/commons-net-3.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-net/commons-net/3.1/commons-net-3.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/commons-net/commons-net/3.1/commons-net-3.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_airlift_aircompressor_0_21_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_airlift_aircompressor_0_21_jar.xml
new file mode 100644
index 000000000..651bc8d85
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_airlift_aircompressor_0_21_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.airlift:aircompressor:0.21:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/airlift/aircompressor/0.21/aircompressor-0.21.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/airlift/aircompressor/0.21/aircompressor-0.21-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/airlift/aircompressor/0.21/aircompressor-0.21-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_core_4_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_core_4_2_0_jar.xml
new file mode 100644
index 000000000..76405f056
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_core_4_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.dropwizard.metrics:metrics-core:4.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-core/4.2.0/metrics-core-4.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-core/4.2.0/metrics-core-4.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-core/4.2.0/metrics-core-4.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_graphite_4_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_graphite_4_2_0_jar.xml
new file mode 100644
index 000000000..585f2b321
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_graphite_4_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.dropwizard.metrics:metrics-graphite:4.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-graphite/4.2.0/metrics-graphite-4.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-graphite/4.2.0/metrics-graphite-4.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-graphite/4.2.0/metrics-graphite-4.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jmx_4_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jmx_4_2_0_jar.xml
new file mode 100644
index 000000000..273ff235c
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jmx_4_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.dropwizard.metrics:metrics-jmx:4.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jmx/4.2.0/metrics-jmx-4.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jmx/4.2.0/metrics-jmx-4.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jmx/4.2.0/metrics-jmx-4.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_json_4_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_json_4_2_0_jar.xml
new file mode 100644
index 000000000..d127f73fc
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_json_4_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.dropwizard.metrics:metrics-json:4.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-json/4.2.0/metrics-json-4.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-json/4.2.0/metrics-json-4.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-json/4.2.0/metrics-json-4.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jvm_4_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jvm_4_2_0_jar.xml
new file mode 100644
index 000000000..8f6dfe485
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_dropwizard_metrics_metrics_jvm_4_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.dropwizard.metrics:metrics-jvm:4.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jvm/4.2.0/metrics-jvm-4.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jvm/4.2.0/metrics-jvm-4.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/dropwizard/metrics/metrics-jvm/4.2.0/metrics-jvm-4.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_all_4_1_68_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_all_4_1_68_Final_jar.xml
new file mode 100644
index 000000000..f43fe6823
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_all_4_1_68_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-all:4.1.68.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-all/4.1.68.Final/netty-all-4.1.68.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-all/4.1.68.Final/netty-all-4.1.68.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-all/4.1.68.Final/netty-all-4.1.68.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_buffer_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_buffer_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..a81061dce
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_buffer_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-buffer:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-buffer/4.1.50.Final/netty-buffer-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-buffer/4.1.50.Final/netty-buffer-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-buffer/4.1.50.Final/netty-buffer-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_codec_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_codec_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..d308fbbbd
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_codec_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-codec:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-codec/4.1.50.Final/netty-codec-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-codec/4.1.50.Final/netty-codec-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-codec/4.1.50.Final/netty-codec-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_common_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_common_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..83eb77f80
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_common_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-common:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-common/4.1.50.Final/netty-common-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-common/4.1.50.Final/netty-common-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-common/4.1.50.Final/netty-common-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_handler_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_handler_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..e671cadc1
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_handler_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-handler:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-handler/4.1.50.Final/netty-handler-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-handler/4.1.50.Final/netty-handler-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-handler/4.1.50.Final/netty-handler-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_resolver_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_resolver_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..664a8afc8
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_resolver_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-resolver:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-resolver/4.1.50.Final/netty-resolver-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-resolver/4.1.50.Final/netty-resolver-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-resolver/4.1.50.Final/netty-resolver-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..364f4ec8f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-transport:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport/4.1.50.Final/netty-transport-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport/4.1.50.Final/netty-transport-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport/4.1.50.Final/netty-transport-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_epoll_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_epoll_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..e7ed5495f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_epoll_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-transport-native-epoll:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-epoll/4.1.50.Final/netty-transport-native-epoll-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-epoll/4.1.50.Final/netty-transport-native-epoll-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-epoll/4.1.50.Final/netty-transport-native-epoll-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_unix_common_4_1_50_Final_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_unix_common_4_1_50_Final_jar.xml
new file mode 100644
index 000000000..a59129125
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__io_netty_netty_transport_native_unix_common_4_1_50_Final_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: io.netty:netty-transport-native-unix-common:4.1.50.Final:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-unix-common/4.1.50.Final/netty-transport-native-unix-common-4.1.50.Final.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-unix-common/4.1.50.Final/netty-transport-native-unix-common-4.1.50.Final-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/io/netty/netty-transport-native-unix-common/4.1.50.Final/netty-transport-native-unix-common-4.1.50.Final-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_annotation_jakarta_annotation_api_1_3_5_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_annotation_jakarta_annotation_api_1_3_5_jar.xml
new file mode 100644
index 000000000..bddadc66b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_annotation_jakarta_annotation_api_1_3_5_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: jakarta.annotation:jakarta.annotation-api:1.3.5:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/annotation/jakarta.annotation-api/1.3.5/jakarta.annotation-api-1.3.5.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/annotation/jakarta.annotation-api/1.3.5/jakarta.annotation-api-1.3.5-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/annotation/jakarta.annotation-api/1.3.5/jakarta.annotation-api-1.3.5-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_servlet_jakarta_servlet_api_4_0_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_servlet_jakarta_servlet_api_4_0_3_jar.xml
new file mode 100644
index 000000000..60a62a85f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_servlet_jakarta_servlet_api_4_0_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: jakarta.servlet:jakarta.servlet-api:4.0.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/servlet/jakarta.servlet-api/4.0.3/jakarta.servlet-api-4.0.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/servlet/jakarta.servlet-api/4.0.3/jakarta.servlet-api-4.0.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/servlet/jakarta.servlet-api/4.0.3/jakarta.servlet-api-4.0.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_validation_jakarta_validation_api_2_0_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_validation_jakarta_validation_api_2_0_2_jar.xml
new file mode 100644
index 000000000..10c8c0e1d
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_validation_jakarta_validation_api_2_0_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: jakarta.validation:jakarta.validation-api:2.0.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/validation/jakarta.validation-api/2.0.2/jakarta.validation-api-2.0.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/validation/jakarta.validation-api/2.0.2/jakarta.validation-api-2.0.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/validation/jakarta.validation-api/2.0.2/jakarta.validation-api-2.0.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_ws_rs_jakarta_ws_rs_api_2_1_6_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_ws_rs_jakarta_ws_rs_api_2_1_6_jar.xml
new file mode 100644
index 000000000..d1cb1df8b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__jakarta_ws_rs_jakarta_ws_rs_api_2_1_6_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: jakarta.ws.rs:jakarta.ws.rs-api:2.1.6:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/ws/rs/jakarta.ws.rs-api/2.1.6/jakarta.ws.rs-api-2.1.6.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/ws/rs/jakarta.ws.rs-api/2.1.6/jakarta.ws.rs-api-2.1.6-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jakarta/ws/rs/jakarta.ws.rs-api/2.1.6/jakarta.ws.rs-api-2.1.6-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_activation_activation_1_1_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_activation_activation_1_1_1_jar.xml
new file mode 100644
index 000000000..389226bbd
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_activation_activation_1_1_1_jar.xml
@@ -0,0 +1,11 @@
+<component name="libraryTable">
+  <library name="sbt: javax.activation:activation:1.1.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/activation/activation/1.1.1/activation-1.1.1.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/activation/activation/1.1.1/activation-1.1.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_annotation_javax_annotation_api_1_3_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_annotation_javax_annotation_api_1_3_2_jar.xml
new file mode 100644
index 000000000..de4eb76f9
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_annotation_javax_annotation_api_1_3_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: javax.annotation:javax.annotation-api:1.3.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/annotation/javax.annotation-api/1.3.2/javax.annotation-api-1.3.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/annotation/javax.annotation-api/1.3.2/javax.annotation-api-1.3.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/annotation/javax.annotation-api/1.3.2/javax.annotation-api-1.3.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_xml_bind_jaxb_api_2_2_11_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_xml_bind_jaxb_api_2_2_11_jar.xml
new file mode 100644
index 000000000..7e0d722ae
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__javax_xml_bind_jaxb_api_2_2_11_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: javax.xml.bind:jaxb-api:2.2.11:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/xml/bind/jaxb-api/2.2.11/jaxb-api-2.2.11.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/xml/bind/jaxb-api/2.2.11/jaxb-api-2.2.11-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/javax/xml/bind/jaxb-api/2.2.11/jaxb-api-2.2.11-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__log4j_log4j_1_2_17_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__log4j_log4j_1_2_17_jar.xml
new file mode 100644
index 000000000..4ea4213df
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__log4j_log4j_1_2_17_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: log4j:log4j:1.2.17:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/log4j/log4j/1.2.17/log4j-1.2.17.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/log4j/log4j/1.2.17/log4j-1.2.17-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/log4j/log4j/1.2.17/log4j-1.2.17-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_razorvine_pyrolite_4_30_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_razorvine_pyrolite_4_30_jar.xml
new file mode 100644
index 000000000..42236f5c0
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_razorvine_pyrolite_4_30_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: net.razorvine:pyrolite:4.30:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/razorvine/pyrolite/4.30/pyrolite-4.30.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/razorvine/pyrolite/4.30/pyrolite-4.30-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/razorvine/pyrolite/4.30/pyrolite-4.30-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_sf_py4j_py4j_0_10_9_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_sf_py4j_py4j_0_10_9_3_jar.xml
new file mode 100644
index 000000000..56cdd8c26
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__net_sf_py4j_py4j_0_10_9_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: net.sf.py4j:py4j:0.10.9.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/sf/py4j/py4j/0.10.9.3/py4j-0.10.9.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/sf/py4j/py4j/0.10.9.3/py4j-0.10.9.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/net/sf/py4j/py4j/0.10.9.3/py4j-0.10.9.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_antlr_antlr4_runtime_4_8_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_antlr_antlr4_runtime_4_8_jar.xml
new file mode 100644
index 000000000..102ccc2ab
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_antlr_antlr4_runtime_4_8_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.antlr:antlr4-runtime:4.8:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/antlr/antlr4-runtime/4.8/antlr4-runtime-4.8.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/antlr/antlr4-runtime/4.8/antlr4-runtime-4.8-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/antlr/antlr4-runtime/4.8/antlr4-runtime-4.8-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_format_2_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_format_2_0_0_jar.xml
new file mode 100644
index 000000000..cbb4e3049
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_format_2_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.arrow:arrow-format:2.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-format/2.0.0/arrow-format-2.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-format/2.0.0/arrow-format-2.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-format/2.0.0/arrow-format-2.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_core_2_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_core_2_0_0_jar.xml
new file mode 100644
index 000000000..9815cdce9
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_core_2_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.arrow:arrow-memory-core:2.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-core/2.0.0/arrow-memory-core-2.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-core/2.0.0/arrow-memory-core-2.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-core/2.0.0/arrow-memory-core-2.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_netty_2_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_netty_2_0_0_jar.xml
new file mode 100644
index 000000000..bc9d9f928
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_memory_netty_2_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.arrow:arrow-memory-netty:2.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-netty/2.0.0/arrow-memory-netty-2.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-netty/2.0.0/arrow-memory-netty-2.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-memory-netty/2.0.0/arrow-memory-netty-2.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_vector_2_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_vector_2_0_0_jar.xml
new file mode 100644
index 000000000..dca0a2bbb
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_arrow_arrow_vector_2_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.arrow:arrow-vector:2.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-vector/2.0.0/arrow-vector-2.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-vector/2.0.0/arrow-vector-2.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/arrow/arrow-vector/2.0.0/arrow-vector-2.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_1_10_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_1_10_2_jar.xml
new file mode 100644
index 000000000..58f1d6a18
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_1_10_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.avro:avro:1.10.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro/1.10.2/avro-1.10.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro/1.10.2/avro-1.10.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro/1.10.2/avro-1.10.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_ipc_1_10_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_ipc_1_10_2_jar.xml
new file mode 100644
index 000000000..54e8d1946
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_ipc_1_10_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.avro:avro-ipc:1.10.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-ipc/1.10.2/avro-ipc-1.10.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-ipc/1.10.2/avro-ipc-1.10.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-ipc/1.10.2/avro-ipc-1.10.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_mapred_1_10_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_mapred_1_10_2_jar.xml
new file mode 100644
index 000000000..41a3df3f7
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_avro_avro_mapred_1_10_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.avro:avro-mapred:1.10.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-mapred/1.10.2/avro-mapred-1.10.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-mapred/1.10.2/avro-mapred-1.10.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/avro/avro-mapred/1.10.2/avro-mapred-1.10.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_compress_1_20_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_compress_1_20_jar.xml
new file mode 100644
index 000000000..f2c1096a3
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_compress_1_20_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.commons:commons-compress:1.20:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-compress/1.20/commons-compress-1.20.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-compress/1.20/commons-compress-1.20-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-compress/1.20/commons-compress-1.20-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_crypto_1_1_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_crypto_1_1_0_jar.xml
new file mode 100644
index 000000000..69583a615
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_crypto_1_1_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.commons:commons-crypto:1.1.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-crypto/1.1.0/commons-crypto-1.1.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-crypto/1.1.0/commons-crypto-1.1.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-crypto/1.1.0/commons-crypto-1.1.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_lang3_3_12_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_lang3_3_12_0_jar.xml
new file mode 100644
index 000000000..52d528f7b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_lang3_3_12_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.commons:commons-lang3:3.12.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-lang3/3.12.0/commons-lang3-3.12.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-lang3/3.12.0/commons-lang3-3.12.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-lang3/3.12.0/commons-lang3-3.12.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_math3_3_4_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_math3_3_4_1_jar.xml
new file mode 100644
index 000000000..cc2509562
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_math3_3_4_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.commons:commons-math3:3.4.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-math3/3.4.1/commons-math3-3.4.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-math3/3.4.1/commons-math3-3.4.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-math3/3.4.1/commons-math3-3.4.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_text_1_6_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_text_1_6_jar.xml
new file mode 100644
index 000000000..2fbe52f21
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_commons_commons_text_1_6_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.commons:commons-text:1.6:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-text/1.6/commons-text-1.6.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-text/1.6/commons-text-1.6-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/commons/commons-text/1.6/commons-text-1.6-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_client_2_13_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_client_2_13_0_jar.xml
new file mode 100644
index 000000000..a9545d1ca
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_client_2_13_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.curator:curator-client:2.13.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-client/2.13.0/curator-client-2.13.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-client/2.13.0/curator-client-2.13.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-client/2.13.0/curator-client-2.13.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_framework_2_13_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_framework_2_13_0_jar.xml
new file mode 100644
index 000000000..fe73505d2
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_framework_2_13_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.curator:curator-framework:2.13.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-framework/2.13.0/curator-framework-2.13.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-framework/2.13.0/curator-framework-2.13.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-framework/2.13.0/curator-framework-2.13.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_recipes_2_13_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_recipes_2_13_0_jar.xml
new file mode 100644
index 000000000..27d931921
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_curator_curator_recipes_2_13_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.curator:curator-recipes:2.13.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-recipes/2.13.0/curator-recipes-2.13.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-recipes/2.13.0/curator-recipes-2.13.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/curator/curator-recipes/2.13.0/curator-recipes-2.13.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_api_3_3_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_api_3_3_1_jar.xml
new file mode 100644
index 000000000..813071dc1
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_api_3_3_1_jar.xml
@@ -0,0 +1,11 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.hadoop:hadoop-client-api:3.3.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hadoop/hadoop-client-api/3.3.1/hadoop-client-api-3.3.1.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hadoop/hadoop-client-api/3.3.1/hadoop-client-api-3.3.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_runtime_3_3_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_runtime_3_3_1_jar.xml
new file mode 100644
index 000000000..86832afeb
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hadoop_hadoop_client_runtime_3_3_1_jar.xml
@@ -0,0 +1,9 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.hadoop:hadoop-client-runtime:3.3.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hadoop/hadoop-client-runtime/3.3.1/hadoop-client-runtime-3.3.1.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES />
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hive_hive_storage_api_2_7_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hive_hive_storage_api_2_7_2_jar.xml
new file mode 100644
index 000000000..18ccaff1a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_hive_hive_storage_api_2_7_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.hive:hive-storage-api:2.7.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hive/hive-storage-api/2.7.2/hive-storage-api-2.7.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hive/hive-storage-api/2.7.2/hive-storage-api-2.7.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/hive/hive-storage-api/2.7.2/hive-storage-api-2.7.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_htrace_htrace_core4_4_1_0_incubating_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_htrace_htrace_core4_4_1_0_incubating_jar.xml
new file mode 100644
index 000000000..2deffca54
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_htrace_htrace_core4_4_1_0_incubating_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.htrace:htrace-core4:4.1.0-incubating:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/htrace/htrace-core4/4.1.0-incubating/htrace-core4-4.1.0-incubating.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/htrace/htrace-core4/4.1.0-incubating/htrace-core4-4.1.0-incubating-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/htrace/htrace-core4/4.1.0-incubating/htrace-core4-4.1.0-incubating-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_ivy_ivy_2_5_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_ivy_ivy_2_5_0_jar.xml
new file mode 100644
index 000000000..b0f2bd21b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_ivy_ivy_2_5_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.ivy:ivy:2.5.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/ivy/ivy/2.5.0/ivy-2.5.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/ivy/ivy/2.5.0/ivy-2.5.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/ivy/ivy/2.5.0/ivy-2.5.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_api_2_4_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_api_2_4_1_jar.xml
new file mode 100644
index 000000000..4fb37d29c
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_api_2_4_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.logging.log4j:log4j-api:2.4.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-api/2.4.1/log4j-api-2.4.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-api/2.4.1/log4j-api-2.4.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-api/2.4.1/log4j-api-2.4.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_core_2_4_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_core_2_4_1_jar.xml
new file mode 100644
index 000000000..232a49b9c
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_logging_log4j_log4j_core_2_4_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.logging.log4j:log4j-core:2.4.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-core/2.4.1/log4j-core-2.4.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-core/2.4.1/log4j-core-2.4.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/logging/log4j/log4j-core/2.4.1/log4j-core-2.4.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_core_1_6_12_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_core_1_6_12_jar.xml
new file mode 100644
index 000000000..7fc33a466
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_core_1_6_12_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.orc:orc-core:1.6.12:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-core/1.6.12/orc-core-1.6.12.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-core/1.6.12/orc-core-1.6.12-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-core/1.6.12/orc-core-1.6.12-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_mapreduce_1_6_12_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_mapreduce_1_6_12_jar.xml
new file mode 100644
index 000000000..9fd31c3ec
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_mapreduce_1_6_12_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.orc:orc-mapreduce:1.6.12:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-mapreduce/1.6.12/orc-mapreduce-1.6.12.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-mapreduce/1.6.12/orc-mapreduce-1.6.12-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-mapreduce/1.6.12/orc-mapreduce-1.6.12-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_shims_1_6_12_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_shims_1_6_12_jar.xml
new file mode 100644
index 000000000..6c9e5d04f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_orc_orc_shims_1_6_12_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.orc:orc-shims:1.6.12:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-shims/1.6.12/orc-shims-1.6.12.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-shims/1.6.12/orc-shims-1.6.12-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/orc/orc-shims/1.6.12/orc-shims-1.6.12-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_column_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_column_1_12_2_jar.xml
new file mode 100644
index 000000000..c3f8de9fc
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_column_1_12_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-column:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-column/1.12.2/parquet-column-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-column/1.12.2/parquet-column-1.12.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-column/1.12.2/parquet-column-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_common_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_common_1_12_2_jar.xml
new file mode 100644
index 000000000..5ccf7971e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_common_1_12_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-common:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-common/1.12.2/parquet-common-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-common/1.12.2/parquet-common-1.12.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-common/1.12.2/parquet-common-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_encoding_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_encoding_1_12_2_jar.xml
new file mode 100644
index 000000000..492624ec2
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_encoding_1_12_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-encoding:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-encoding/1.12.2/parquet-encoding-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-encoding/1.12.2/parquet-encoding-1.12.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-encoding/1.12.2/parquet-encoding-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_format_structures_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_format_structures_1_12_2_jar.xml
new file mode 100644
index 000000000..52cad013b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_format_structures_1_12_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-format-structures:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-format-structures/1.12.2/parquet-format-structures-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-format-structures/1.12.2/parquet-format-structures-1.12.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-format-structures/1.12.2/parquet-format-structures-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_hadoop_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_hadoop_1_12_2_jar.xml
new file mode 100644
index 000000000..2a5f2e87a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_hadoop_1_12_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-hadoop:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-hadoop/1.12.2/parquet-hadoop-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-hadoop/1.12.2/parquet-hadoop-1.12.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-hadoop/1.12.2/parquet-hadoop-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_jackson_1_12_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_jackson_1_12_2_jar.xml
new file mode 100644
index 000000000..e07e5b250
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_parquet_parquet_jackson_1_12_2_jar.xml
@@ -0,0 +1,11 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.parquet:parquet-jackson:1.12.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-jackson/1.12.2/parquet-jackson-1.12.2.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/parquet/parquet-jackson/1.12.2/parquet-jackson-1.12.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_catalyst_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_catalyst_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..6fea497e5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_catalyst_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-catalyst_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-catalyst_2.12/3.2.1/spark-catalyst_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-catalyst_2.12/3.2.1/spark-catalyst_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-catalyst_2.12/3.2.1/spark-catalyst_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_core_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_core_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..eccc71786
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_core_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-core_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-core_2.12/3.2.1/spark-core_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-core_2.12/3.2.1/spark-core_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-core_2.12/3.2.1/spark-core_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_kvstore_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_kvstore_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..3f0eb53aa
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_kvstore_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-kvstore_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-kvstore_2.12/3.2.1/spark-kvstore_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-kvstore_2.12/3.2.1/spark-kvstore_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-kvstore_2.12/3.2.1/spark-kvstore_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_launcher_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_launcher_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..3ba94733b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_launcher_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-launcher_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-launcher_2.12/3.2.1/spark-launcher_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-launcher_2.12/3.2.1/spark-launcher_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-launcher_2.12/3.2.1/spark-launcher_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_common_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_common_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..170d9fa0e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_common_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-network-common_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-common_2.12/3.2.1/spark-network-common_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-common_2.12/3.2.1/spark-network-common_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-common_2.12/3.2.1/spark-network-common_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_shuffle_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_shuffle_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..95608800b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_network_shuffle_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-network-shuffle_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-shuffle_2.12/3.2.1/spark-network-shuffle_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-shuffle_2.12/3.2.1/spark-network-shuffle_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-network-shuffle_2.12/3.2.1/spark-network-shuffle_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sketch_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sketch_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..d1f2f9670
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sketch_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-sketch_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sketch_2.12/3.2.1/spark-sketch_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sketch_2.12/3.2.1/spark-sketch_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sketch_2.12/3.2.1/spark-sketch_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sql_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sql_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..aa5fd7501
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_sql_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-sql_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sql_2.12/3.2.1/spark-sql_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sql_2.12/3.2.1/spark-sql_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-sql_2.12/3.2.1/spark-sql_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_tags_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_tags_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..5652b3641
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_tags_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-tags_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-tags_2.12/3.2.1/spark-tags_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-tags_2.12/3.2.1/spark-tags_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-tags_2.12/3.2.1/spark-tags_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_unsafe_2_12_3_2_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_unsafe_2_12_3_2_1_jar.xml
new file mode 100644
index 000000000..c7e53d28a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_spark_spark_unsafe_2_12_3_2_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.spark:spark-unsafe_2.12:3.2.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-unsafe_2.12/3.2.1/spark-unsafe_2.12-3.2.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-unsafe_2.12/3.2.1/spark-unsafe_2.12-3.2.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/spark/spark-unsafe_2.12/3.2.1/spark-unsafe_2.12-3.2.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_xbean_xbean_asm9_shaded_4_20_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_xbean_xbean_asm9_shaded_4_20_jar.xml
new file mode 100644
index 000000000..69bd2aefc
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_xbean_xbean_asm9_shaded_4_20_jar.xml
@@ -0,0 +1,11 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.xbean:xbean-asm9-shaded:4.20:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/xbean/xbean-asm9-shaded/4.20/xbean-asm9-shaded-4.20.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/xbean/xbean-asm9-shaded/4.20/xbean-asm9-shaded-4.20-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_yetus_audience_annotations_0_12_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_yetus_audience_annotations_0_12_0_jar.xml
new file mode 100644
index 000000000..fb30b5394
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_yetus_audience_annotations_0_12_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.yetus:audience-annotations:0.12.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/yetus/audience-annotations/0.12.0/audience-annotations-0.12.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/yetus/audience-annotations/0.12.0/audience-annotations-0.12.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/yetus/audience-annotations/0.12.0/audience-annotations-0.12.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_3_6_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_3_6_2_jar.xml
new file mode 100644
index 000000000..9752893b5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_3_6_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.zookeeper:zookeeper:3.6.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper/3.6.2/zookeeper-3.6.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper/3.6.2/zookeeper-3.6.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper/3.6.2/zookeeper-3.6.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_jute_3_6_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_jute_3_6_2_jar.xml
new file mode 100644
index 000000000..4f20e692b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_apache_zookeeper_zookeeper_jute_3_6_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.apache.zookeeper:zookeeper-jute:3.6.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper-jute/3.6.2/zookeeper-jute-3.6.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper-jute/3.6.2/zookeeper-jute-3.6.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/apache/zookeeper/zookeeper-jute/3.6.2/zookeeper-jute-3.6.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_commons_compiler_3_0_16_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_commons_compiler_3_0_16_jar.xml
new file mode 100644
index 000000000..fb33e3533
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_commons_compiler_3_0_16_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.codehaus.janino:commons-compiler:3.0.16:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/commons-compiler/3.0.16/commons-compiler-3.0.16.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/commons-compiler/3.0.16/commons-compiler-3.0.16-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/commons-compiler/3.0.16/commons-compiler-3.0.16-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_janino_3_0_16_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_janino_3_0_16_jar.xml
new file mode 100644
index 000000000..aea1eb735
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_codehaus_janino_janino_3_0_16_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.codehaus.janino:janino:3.0.16:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/janino/3.0.16/janino-3.0.16.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/janino/3.0.16/janino-3.0.16-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/codehaus/janino/janino/3.0.16/janino-3.0.16-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_fusesource_leveldbjni_leveldbjni_all_1_8_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_fusesource_leveldbjni_leveldbjni_all_1_8_jar.xml
new file mode 100644
index 000000000..fa1a9c37b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_fusesource_leveldbjni_leveldbjni_all_1_8_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.fusesource.leveldbjni:leveldbjni-all:1.8:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/fusesource/leveldbjni/leveldbjni-all/1.8/leveldbjni-all-1.8.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/fusesource/leveldbjni/leveldbjni-all/1.8/leveldbjni-all-1.8-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/fusesource/leveldbjni/leveldbjni-all/1.8/leveldbjni-all-1.8-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_aopalliance_repackaged_2_6_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_aopalliance_repackaged_2_6_1_jar.xml
new file mode 100644
index 000000000..353c2ff21
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_aopalliance_repackaged_2_6_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2.external:aopalliance-repackaged:2.6.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/aopalliance-repackaged/2.6.1/aopalliance-repackaged-2.6.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/aopalliance-repackaged/2.6.1/aopalliance-repackaged-2.6.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/aopalliance-repackaged/2.6.1/aopalliance-repackaged-2.6.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_jakarta_inject_2_6_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_jakarta_inject_2_6_1_jar.xml
new file mode 100644
index 000000000..b399cd145
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_external_jakarta_inject_2_6_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2.external:jakarta.inject:2.6.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/jakarta.inject/2.6.1/jakarta.inject-2.6.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/jakarta.inject/2.6.1/jakarta.inject-2.6.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/external/jakarta.inject/2.6.1/jakarta.inject-2.6.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_api_2_6_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_api_2_6_1_jar.xml
new file mode 100644
index 000000000..036ec2900
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_api_2_6_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2:hk2-api:2.6.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-api/2.6.1/hk2-api-2.6.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-api/2.6.1/hk2-api-2.6.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-api/2.6.1/hk2-api-2.6.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_locator_2_6_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_locator_2_6_1_jar.xml
new file mode 100644
index 000000000..46e488cee
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_locator_2_6_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2:hk2-locator:2.6.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-locator/2.6.1/hk2-locator-2.6.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-locator/2.6.1/hk2-locator-2.6.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-locator/2.6.1/hk2-locator-2.6.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_utils_2_6_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_utils_2_6_1_jar.xml
new file mode 100644
index 000000000..94e3f805d
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_hk2_utils_2_6_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2:hk2-utils:2.6.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-utils/2.6.1/hk2-utils-2.6.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-utils/2.6.1/hk2-utils-2.6.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/hk2-utils/2.6.1/hk2-utils-2.6.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_osgi_resource_locator_1_0_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_osgi_resource_locator_1_0_3_jar.xml
new file mode 100644
index 000000000..b856ec706
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_hk2_osgi_resource_locator_1_0_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.hk2:osgi-resource-locator:1.0.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/osgi-resource-locator/1.0.3/osgi-resource-locator-1.0.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/osgi-resource-locator/1.0.3/osgi-resource-locator-1.0.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/hk2/osgi-resource-locator/1.0.3/osgi-resource-locator-1.0.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_2_34_jar.xml
new file mode 100644
index 000000000..6bb9ccd41
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.containers:jersey-container-servlet:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet/2.34/jersey-container-servlet-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet/2.34/jersey-container-servlet-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet/2.34/jersey-container-servlet-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_core_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_core_2_34_jar.xml
new file mode 100644
index 000000000..36977d634
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_containers_jersey_container_servlet_core_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.containers:jersey-container-servlet-core:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet-core/2.34/jersey-container-servlet-core-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet-core/2.34/jersey-container-servlet-core-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/containers/jersey-container-servlet-core/2.34/jersey-container-servlet-core-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_client_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_client_2_34_jar.xml
new file mode 100644
index 000000000..abd0a8187
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_client_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.core:jersey-client:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-client/2.34/jersey-client-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-client/2.34/jersey-client-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-client/2.34/jersey-client-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_common_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_common_2_34_jar.xml
new file mode 100644
index 000000000..23542fb82
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_common_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.core:jersey-common:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-common/2.34/jersey-common-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-common/2.34/jersey-common-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-common/2.34/jersey-common-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_server_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_server_2_34_jar.xml
new file mode 100644
index 000000000..4a0fb5b39
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_core_jersey_server_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.core:jersey-server:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-server/2.34/jersey-server-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-server/2.34/jersey-server-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/core/jersey-server/2.34/jersey-server-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_inject_jersey_hk2_2_34_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_inject_jersey_hk2_2_34_jar.xml
new file mode 100644
index 000000000..08531f16a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_glassfish_jersey_inject_jersey_hk2_2_34_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.glassfish.jersey.inject:jersey-hk2:2.34:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/inject/jersey-hk2/2.34/jersey-hk2-2.34.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/inject/jersey-hk2/2.34/jersey-hk2-2.34-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/glassfish/jersey/inject/jersey-hk2/2.34/jersey-hk2-2.34-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_javassist_javassist_3_25_0_GA_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_javassist_javassist_3_25_0_GA_jar.xml
new file mode 100644
index 000000000..062625e24
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_javassist_javassist_3_25_0_GA_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.javassist:javassist:3.25.0-GA:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/javassist/javassist/3.25.0-GA/javassist-3.25.0-GA.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/javassist/javassist/3.25.0-GA/javassist-3.25.0-GA-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/javassist/javassist/3.25.0-GA/javassist-3.25.0-GA-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_jetbrains_annotations_17_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_jetbrains_annotations_17_0_0_jar.xml
new file mode 100644
index 000000000..743d8a804
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_jetbrains_annotations_17_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.jetbrains:annotations:17.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/jetbrains/annotations/17.0.0/annotations-17.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/jetbrains/annotations/17.0.0/annotations-17.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/jetbrains/annotations/17.0.0/annotations-17.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_ast_2_12_3_7_0_M11_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_ast_2_12_3_7_0_M11_jar.xml
new file mode 100644
index 000000000..aed5021d9
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_ast_2_12_3_7_0_M11_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.json4s:json4s-ast_2.12:3.7.0-M11:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-ast_2.12/3.7.0-M11/json4s-ast_2.12-3.7.0-M11.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-ast_2.12/3.7.0-M11/json4s-ast_2.12-3.7.0-M11-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-ast_2.12/3.7.0-M11/json4s-ast_2.12-3.7.0-M11-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_core_2_12_3_7_0_M11_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_core_2_12_3_7_0_M11_jar.xml
new file mode 100644
index 000000000..a700e170d
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_core_2_12_3_7_0_M11_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.json4s:json4s-core_2.12:3.7.0-M11:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-core_2.12/3.7.0-M11/json4s-core_2.12-3.7.0-M11.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-core_2.12/3.7.0-M11/json4s-core_2.12-3.7.0-M11-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-core_2.12/3.7.0-M11/json4s-core_2.12-3.7.0-M11-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_jackson_2_12_3_7_0_M11_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_jackson_2_12_3_7_0_M11_jar.xml
new file mode 100644
index 000000000..027762ad5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_jackson_2_12_3_7_0_M11_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.json4s:json4s-jackson_2.12:3.7.0-M11:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-jackson_2.12/3.7.0-M11/json4s-jackson_2.12-3.7.0-M11.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-jackson_2.12/3.7.0-M11/json4s-jackson_2.12-3.7.0-M11-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-jackson_2.12/3.7.0-M11/json4s-jackson_2.12-3.7.0-M11-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_scalap_2_12_3_7_0_M11_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_scalap_2_12_3_7_0_M11_jar.xml
new file mode 100644
index 000000000..a1dcf6e78
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_json4s_json4s_scalap_2_12_3_7_0_M11_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.json4s:json4s-scalap_2.12:3.7.0-M11:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-scalap_2.12/3.7.0-M11/json4s-scalap_2.12-3.7.0-M11.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-scalap_2.12/3.7.0-M11/json4s-scalap_2.12-3.7.0-M11-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/json4s/json4s-scalap_2.12/3.7.0-M11/json4s-scalap_2.12-3.7.0-M11-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_lz4_lz4_java_1_7_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_lz4_lz4_java_1_7_1_jar.xml
new file mode 100644
index 000000000..0f4256232
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_lz4_lz4_java_1_7_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.lz4:lz4-java:1.7.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/lz4/lz4-java/1.7.1/lz4-java-1.7.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/lz4/lz4-java/1.7.1/lz4-java-1.7.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/lz4/lz4-java/1.7.1/lz4-java-1.7.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_objenesis_objenesis_2_5_1_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_objenesis_objenesis_2_5_1_jar.xml
new file mode 100644
index 000000000..dbd9b52e2
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_objenesis_objenesis_2_5_1_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.objenesis:objenesis:2.5.1:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/objenesis/objenesis/2.5.1/objenesis-2.5.1.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/objenesis/objenesis/2.5.1/objenesis-2.5.1-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/objenesis/objenesis/2.5.1/objenesis-2.5.1-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_postgresql_postgresql_42_2_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_postgresql_postgresql_42_2_2_jar.xml
new file mode 100644
index 000000000..41857541d
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_postgresql_postgresql_42_2_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.postgresql:postgresql:42.2.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/postgresql/postgresql/42.2.2/postgresql-42.2.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/postgresql/postgresql/42.2.2/postgresql-42.2.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/postgresql/postgresql/42.2.2/postgresql-42.2.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_RoaringBitmap_0_9_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_RoaringBitmap_0_9_0_jar.xml
new file mode 100644
index 000000000..d7e057d8b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_RoaringBitmap_0_9_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.roaringbitmap:RoaringBitmap:0.9.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/RoaringBitmap/0.9.0/RoaringBitmap-0.9.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/RoaringBitmap/0.9.0/RoaringBitmap-0.9.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/RoaringBitmap/0.9.0/RoaringBitmap-0.9.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_shims_0_9_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_shims_0_9_0_jar.xml
new file mode 100644
index 000000000..a5734d479
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_roaringbitmap_shims_0_9_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.roaringbitmap:shims:0.9.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/shims/0.9.0/shims-0.9.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/shims/0.9.0/shims-0.9.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/roaringbitmap/shims/0.9.0/shims-0.9.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_rocksdb_rocksdbjni_6_20_3_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_rocksdb_rocksdbjni_6_20_3_jar.xml
new file mode 100644
index 000000000..2771a66d7
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_rocksdb_rocksdbjni_6_20_3_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.rocksdb:rocksdbjni:6.20.3:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/rocksdb/rocksdbjni/6.20.3/rocksdbjni-6.20.3.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/rocksdb/rocksdbjni/6.20.3/rocksdbjni-6.20.3-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/rocksdb/rocksdbjni/6.20.3/rocksdbjni-6.20.3-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_parser_combinators_2_12_1_1_2_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_parser_combinators_2_12_1_1_2_jar.xml
new file mode 100644
index 000000000..7b5dd4798
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_parser_combinators_2_12_1_1_2_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.scala-lang.modules:scala-parser-combinators_2.12:1.1.2:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-parser-combinators_2.12/1.1.2/scala-parser-combinators_2.12-1.1.2.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-parser-combinators_2.12/1.1.2/scala-parser-combinators_2.12-1.1.2-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-parser-combinators_2.12/1.1.2/scala-parser-combinators_2.12-1.1.2-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_xml_2_12_1_2_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_xml_2_12_1_2_0_jar.xml
new file mode 100644
index 000000000..91601d537
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_modules_scala_xml_2_12_1_2_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.scala-lang.modules:scala-xml_2.12:1.2.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-xml_2.12/1.2.0/scala-xml_2.12-1.2.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-xml_2.12/1.2.0/scala-xml_2.12-1.2.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-xml_2.12/1.2.0/scala-xml_2.12-1.2.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_library_2_12_10_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_library_2_12_10_jar.xml
new file mode 100644
index 000000000..40ffa1d67
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_library_2_12_10_jar.xml
@@ -0,0 +1,23 @@
+<component name="libraryTable">
+  <library name="sbt: org.scala-lang:scala-library:2.12.10:jar" type="Scala">
+    <properties>
+      <compiler-classpath>
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/jline/jline/2.14.6/jline-2.14.6.jar" />
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/fusesource/jansi/jansi/1.12/jansi-1.12.jar" />
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/modules/scala-xml_2.12/1.0.6/scala-xml_2.12-1.0.6.jar" />
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-compiler/2.12.10/scala-compiler-2.12.10.jar" />
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.10/scala-library-2.12.10.jar" />
+        <root url="file://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-reflect/2.12.10/scala-reflect-2.12.10.jar" />
+      </compiler-classpath>
+    </properties>
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.10/scala-library-2.12.10.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.10/scala-library-2.12.10-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-library/2.12.10/scala-library-2.12.10-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_reflect_2_12_10_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_reflect_2_12_10_jar.xml
new file mode 100644
index 000000000..266e71f99
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_scala_lang_scala_reflect_2_12_10_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.scala-lang:scala-reflect:2.12.10:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-reflect/2.12.10/scala-reflect-2.12.10.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-reflect/2.12.10/scala-reflect-2.12.10-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/scala-lang/scala-reflect/2.12.10/scala-reflect-2.12.10-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jcl_over_slf4j_1_7_30_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jcl_over_slf4j_1_7_30_jar.xml
new file mode 100644
index 000000000..3ac5c9dd3
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jcl_over_slf4j_1_7_30_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.slf4j:jcl-over-slf4j:1.7.30:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jcl-over-slf4j/1.7.30/jcl-over-slf4j-1.7.30.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jcl-over-slf4j/1.7.30/jcl-over-slf4j-1.7.30-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jcl-over-slf4j/1.7.30/jcl-over-slf4j-1.7.30-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jul_to_slf4j_1_7_30_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jul_to_slf4j_1_7_30_jar.xml
new file mode 100644
index 000000000..436aa172e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_jul_to_slf4j_1_7_30_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.slf4j:jul-to-slf4j:1.7.30:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jul-to-slf4j/1.7.30/jul-to-slf4j-1.7.30.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jul-to-slf4j/1.7.30/jul-to-slf4j-1.7.30-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/jul-to-slf4j/1.7.30/jul-to-slf4j-1.7.30-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_api_1_7_30_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_api_1_7_30_jar.xml
new file mode 100644
index 000000000..0e17d309f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_api_1_7_30_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.slf4j:slf4j-api:1.7.30:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-api/1.7.30/slf4j-api-1.7.30.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-api/1.7.30/slf4j-api-1.7.30-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-api/1.7.30/slf4j-api-1.7.30-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_log4j12_1_7_30_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_log4j12_1_7_30_jar.xml
new file mode 100644
index 000000000..05e81fe18
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_slf4j_slf4j_log4j12_1_7_30_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.slf4j:slf4j-log4j12:1.7.30:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-log4j12/1.7.30/slf4j-log4j12-1.7.30.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-log4j12/1.7.30/slf4j-log4j12-1.7.30-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/slf4j/slf4j-log4j12/1.7.30/slf4j-log4j12-1.7.30-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_spark_project_spark_unused_1_0_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_spark_project_spark_unused_1_0_0_jar.xml
new file mode 100644
index 000000000..bdfccb510
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_spark_project_spark_unused_1_0_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.spark-project.spark:unused:1.0.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/spark-project/spark/unused/1.0.0/unused-1.0.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/spark-project/spark/unused/1.0.0/unused-1.0.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/spark-project/spark/unused/1.0.0/unused-1.0.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_threeten_threeten_extra_1_5_0_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_threeten_threeten_extra_1_5_0_jar.xml
new file mode 100644
index 000000000..4d745fc8f
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_threeten_threeten_extra_1_5_0_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.threeten:threeten-extra:1.5.0:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/threeten/threeten-extra/1.5.0/threeten-extra-1.5.0.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/threeten/threeten-extra/1.5.0/threeten-extra-1.5.0-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/threeten/threeten-extra/1.5.0/threeten-extra-1.5.0-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_tukaani_xz_1_8_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_tukaani_xz_1_8_jar.xml
new file mode 100644
index 000000000..fb83dda75
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_tukaani_xz_1_8_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.tukaani:xz:1.8:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/tukaani/xz/1.8/xz-1.8.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/tukaani/xz/1.8/xz-1.8-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/tukaani/xz/1.8/xz-1.8-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_xerial_snappy_snappy_java_1_1_8_4_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_xerial_snappy_snappy_java_1_1_8_4_jar.xml
new file mode 100644
index 000000000..bf9c38326
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__org_xerial_snappy_snappy_java_1_1_8_4_jar.xml
@@ -0,0 +1,13 @@
+<component name="libraryTable">
+  <library name="sbt: org.xerial.snappy:snappy-java:1.1.8.4:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/xerial/snappy/snappy-java/1.1.8.4/snappy-java-1.1.8.4.jar!/" />
+    </CLASSES>
+    <JAVADOC>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/xerial/snappy/snappy-java/1.1.8.4/snappy-java-1.1.8.4-javadoc.jar!/" />
+    </JAVADOC>
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/org/xerial/snappy/snappy-java/1.1.8.4/snappy-java-1.1.8.4-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__oro_oro_2_0_8_jar.xml b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__oro_oro_2_0_8_jar.xml
new file mode 100644
index 000000000..be11bf08b
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/libraries/sbt__oro_oro_2_0_8_jar.xml
@@ -0,0 +1,11 @@
+<component name="libraryTable">
+  <library name="sbt: oro:oro:2.0.8:jar">
+    <CLASSES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/oro/oro/2.0.8/oro-2.0.8.jar!/" />
+    </CLASSES>
+    <JAVADOC />
+    <SOURCES>
+      <root url="jar://$USER_HOME$/AppData/Local/Coursier/cache/v1/https/repo1.maven.org/maven2/oro/oro/2.0.8/oro-2.0.8-sources.jar!/" />
+    </SOURCES>
+  </library>
+</component>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/misc.xml b/PROFESORES/PYSPARK/spark-scala/.idea/misc.xml
new file mode 100644
index 000000000..d232300c3
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/misc.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" languageLevel="JDK_11" default="true" project-jdk-name="1.8" project-jdk-type="JavaSDK">
+    <output url="file://$PROJECT_DIR$/out" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/modules.xml b/PROFESORES/PYSPARK/spark-scala/.idea/modules.xml
new file mode 100644
index 000000000..d030dfc2a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/modules.xml
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/modules/spark-scala.iml" filepath="$PROJECT_DIR$/.idea/modules/spark-scala.iml" />
+      <module fileurl="file://$PROJECT_DIR$/.idea/modules/spark-scala-build.iml" filepath="$PROJECT_DIR$/.idea/modules/spark-scala-build.iml" />
+    </modules>
+  </component>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala-build.iml b/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala-build.iml
new file mode 100644
index 000000000..a56afeafc
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala-build.iml
@@ -0,0 +1,114 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module external.linked.project.id="spark-scala-build" external.linked.project.path="$MODULE_DIR$/../../project" external.root.project.path="$MODULE_DIR$/../.." external.system.id="SBT" sbt.imports="_root_.sbt.Keys._, _root_.sbt.ScriptedPlugin.autoImport._, _root_.sbt.plugins.JUnitXmlReportPlugin.autoImport._, _root_.sbt.plugins.MiniDependencyTreePlugin.autoImport._, _root_.sbt._, _root_.sbt.nio.Keys._, _root_.sbt.plugins.IvyPlugin, _root_.sbt.plugins.JvmPlugin, _root_.sbt.plugins.CorePlugin, _root_.sbt.ScriptedPlugin, _root_.sbt.plugins.SbtPlugin, _root_.sbt.plugins.SemanticdbPlugin, _root_.sbt.plugins.JUnitXmlReportPlugin, _root_.sbt.plugins.Giter8TemplatePlugin, _root_.sbt.plugins.MiniDependencyTreePlugin, _root_.scala.xml.{TopScope=&amp;gt;SUB:DOLLARscope}" sbt.resolvers="C:\Users\papon\.ivy2\cache|ivy|Local cache, file:/C:/Users/papon/.sbt/preloaded|maven|local-preloaded, https://dl.bintray.com/spark-packages/maven|maven|bintray-spark-packages, https://repo.typesafe.com/typesafe/simple/maven-releases|maven|Typesafe Simple Repository, https://mvnrepository.com|maven|MavenRepository, https://repo1.maven.org/maven2/|maven|public" type="SBT_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <output url="file://$MODULE_DIR$/../../project/target/idea-classes" />
+    <output-test url="file://$MODULE_DIR$/../../project/target/idea-test-classes" />
+    <exclude-output />
+    <content url="file://$MODULE_DIR$/../../project">
+      <sourceFolder url="file://$MODULE_DIR$/../../project" isTestSource="false" />
+      <excludeFolder url="file://$MODULE_DIR$/../../project/project/target" />
+      <excludeFolder url="file://$MODULE_DIR$/../../project/target" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+    <orderEntry type="module-library">
+      <library name="sbt: sbt-and-plugins">
+        <CLASSES>
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/lib/scala-compiler.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/lib/scala-library.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/lib/scala-reflect.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/lib/scala-xml_2.12-2.1.0.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/actions_2.12-1.9.7.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/error_prone_annotations-2.4.0.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/io_2.12-1.9.7.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/sjson-new-murmurhash_2.12-0.9.1.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/slf4j-api-1.7.36.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/task-system_2.12-1.9.7.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/tasks_2.12-1.9.7.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/template-resolver-0.1.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-apiinfo_2.12-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-classfile_2.12-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-classpath_2.12-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-compile-core_2.12-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-compile_2.12-1.9.5.jar!/" />
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+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-persist-core-assembly-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc-persist_2.12-1.9.5.jar!/" />
+          <root url="jar://$USER_HOME$/.sbt/boot/scala-2.12.18/org.scala-sbt/sbt/1.9.7/zinc_2.12-1.9.5.jar!/" />
+        </CLASSES>
+        <JAVADOC />
+        <SOURCES />
+      </library>
+    </orderEntry>
+  </component>
+  <component name="SbtModule">
+    <option name="buildForURI" value="file:/$MODULE_DIR$/../../" />
+    <option name="imports" value="_root_.sbt.Keys._, _root_.sbt.ScriptedPlugin.autoImport._, _root_.sbt.plugins.JUnitXmlReportPlugin.autoImport._, _root_.sbt.plugins.MiniDependencyTreePlugin.autoImport._, _root_.sbt._, _root_.sbt.nio.Keys._, _root_.sbt.plugins.IvyPlugin, _root_.sbt.plugins.JvmPlugin, _root_.sbt.plugins.CorePlugin, _root_.sbt.ScriptedPlugin, _root_.sbt.plugins.SbtPlugin, _root_.sbt.plugins.SemanticdbPlugin, _root_.sbt.plugins.JUnitXmlReportPlugin, _root_.sbt.plugins.Giter8TemplatePlugin, _root_.sbt.plugins.MiniDependencyTreePlugin, _root_.scala.xml.{TopScope=&gt;SUB:DOLLARscope}" />
+  </component>
+</module>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala.iml b/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala.iml
new file mode 100644
index 000000000..2f233ef58
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/modules/spark-scala.iml
@@ -0,0 +1,152 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module external.linked.project.id="spark-scala [file:/C:/Users/papon/OneDrive/Documentos/SalvaDatos_Pablo/EDEM/2023_24_sessions/spark-scala/]" external.linked.project.path="$MODULE_DIR$/../.." external.root.project.path="$MODULE_DIR$/../.." external.system.id="SBT" type="JAVA_MODULE" version="4">
+  <component name="NewModuleRootManager" LANGUAGE_LEVEL="JDK_11">
+    <output url="file://$MODULE_DIR$/../../target/scala-2.12/classes" />
+    <output-test url="file://$MODULE_DIR$/../../target/scala-2.12/test-classes" />
+    <exclude-output />
+    <content url="file://$MODULE_DIR$/../..">
+      <sourceFolder url="file://$MODULE_DIR$/../../src/main/resources" type="java-resource" />
+      <sourceFolder url="file://$MODULE_DIR$/../../src/main/scala" isTestSource="false" />
+      <sourceFolder url="file://$MODULE_DIR$/../../src/test/scala" isTestSource="true" />
+      <excludeFolder url="file://$MODULE_DIR$/../../target" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+    <orderEntry type="library" name="sbt: com.clearspring.analytics:stream:2.9.6:jar" level="project" />
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+    <orderEntry type="library" name="sbt: com.fasterxml.jackson.core:jackson-annotations:2.12.3:jar" level="project" />
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+    <orderEntry type="library" name="sbt: com.fasterxml.jackson.core:jackson-databind:2.12.3:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.arrow:arrow-format:2.0.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.apache.arrow:arrow-memory-core:2.0.0:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.commons:commons-compress:1.20:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.curator:curator-recipes:2.13.0:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.parquet:parquet-jackson:1.12.2:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.apache.spark:spark-catalyst_2.12:3.2.1:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.apache.spark:spark-core_2.12:3.2.1:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.spark:spark-tags_2.12:3.2.1:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.apache.spark:spark-unsafe_2.12:3.2.1:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.apache.zookeeper:zookeeper:3.6.2:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.glassfish.hk2.external:jakarta.inject:2.6.1:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.glassfish.jersey.containers:jersey-container-servlet:2.34:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.glassfish.jersey.core:jersey-client:2.34:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.glassfish.jersey.core:jersey-common:2.34:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.glassfish.jersey.core:jersey-server:2.34:jar" level="project" />
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+    <orderEntry type="library" name="sbt: org.json4s:json4s-core_2.12:3.7.0-M11:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.json4s:json4s-jackson_2.12:3.7.0-M11:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.json4s:json4s-scalap_2.12:3.7.0-M11:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.lz4:lz4-java:1.7.1:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.objenesis:objenesis:2.5.1:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.postgresql:postgresql:42.2.2:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.roaringbitmap:RoaringBitmap:0.9.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.roaringbitmap:shims:0.9.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.rocksdb:rocksdbjni:6.20.3:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.scala-lang.modules:scala-parser-combinators_2.12:1.1.2:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.scala-lang.modules:scala-xml_2.12:1.2.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.scala-lang:scala-library:2.12.10:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.scala-lang:scala-reflect:2.12.10:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.slf4j:jcl-over-slf4j:1.7.30:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.slf4j:jul-to-slf4j:1.7.30:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.slf4j:slf4j-api:1.7.30:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.slf4j:slf4j-log4j12:1.7.30:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.spark-project.spark:unused:1.0.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.threeten:threeten-extra:1.5.0:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.tukaani:xz:1.8:jar" level="project" />
+    <orderEntry type="library" name="sbt: org.xerial.snappy:snappy-java:1.1.8.4:jar" level="project" />
+    <orderEntry type="library" name="sbt: oro:oro:2.0.8:jar" level="project" />
+  </component>
+</module>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/runConfigurations.xml b/PROFESORES/PYSPARK/spark-scala/.idea/runConfigurations.xml
new file mode 100644
index 000000000..797acea53
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/runConfigurations.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="RunConfigurationProducerService">
+    <option name="ignoredProducers">
+      <set>
+        <option value="com.android.tools.idea.compose.preview.runconfiguration.ComposePreviewRunConfigurationProducer" />
+      </set>
+    </option>
+  </component>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/sbt.xml b/PROFESORES/PYSPARK/spark-scala/.idea/sbt.xml
new file mode 100644
index 000000000..9e734e2ba
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/sbt.xml
@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ScalaSbtSettings">
+    <option name="linkedExternalProjectsSettings">
+      <SbtProjectSettings>
+        <option name="externalProjectPath" value="$PROJECT_DIR$" />
+        <option name="modules">
+          <set>
+            <option value="$PROJECT_DIR$" />
+            <option value="$PROJECT_DIR$/project" />
+          </set>
+        </option>
+        <option name="sbtVersion" value="1.9.7" />
+      </SbtProjectSettings>
+    </option>
+  </component>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/.idea/scala_compiler.xml b/PROFESORES/PYSPARK/spark-scala/.idea/scala_compiler.xml
new file mode 100644
index 000000000..59bacb804
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/.idea/scala_compiler.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ScalaCompilerConfiguration">
+    <profile name="sbt 1" modules="spark-scala" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/README.md b/PROFESORES/PYSPARK/spark-scala/README.md
new file mode 100644
index 000000000..1d0c3d446
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/README.md
@@ -0,0 +1,25 @@
+# EDEM MDA Spark Scala
+
+This repository contains the code in order to be able to do the class exercises also in Scala.
+
+## How to install
+
+- install [Docker](https://docker.com)
+- either clone the repo or download as zip
+- open with IntelliJ as an SBT project
+- the datasets are available in https://github.com/paponsro/spark_edem_2324/tree/master/dataset
+
+
+### A Note For Windows users: Adding Winutils
+
+By default, Spark will be unable to write files using the local Spark executor. To write files, you will need to install the Windows Hadoop binaries, aka [winutils](https://github.com/cdarlint/winutils). You can take the latest binary (Hadoop 3.2 as of June 2022), or use Hadoop 2.7 as a fallback.
+
+After you download winutils.exe, create a directory anywhere (e.g. `C:\\winutils`), then create a `bin` directory under that, then place the winutils executable there.
+
+You will also need to set the `HADOOP_HOME` environment variable to your directory where you added `bin\winutils.exe`. In the example above, that would be `C:\\winutils`.
+
+An alternative to setting the environment variable is to add this line at the beginning of every Spark application we write:
+
+```scala
+System.setProperty("hadoop.home.dir","C:\\hadoop") // replace C:\\hadoop with your actual directory
+```
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/build.sbt b/PROFESORES/PYSPARK/spark-scala/build.sbt
new file mode 100644
index 000000000..73abbdc7e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/build.sbt
@@ -0,0 +1,25 @@
+name := "spark-scala"
+
+version := "0.1"
+
+scalaVersion := "2.12.10"
+
+val sparkVersion = "3.2.1"
+val postgresVersion = "42.2.2"
+
+resolvers ++= Seq(
+  "bintray-spark-packages" at "https://dl.bintray.com/spark-packages/maven",
+  "Typesafe Simple Repository" at "https://repo.typesafe.com/typesafe/simple/maven-releases",
+  "MavenRepository" at "https://mvnrepository.com"
+)
+
+
+libraryDependencies ++= Seq(
+  "org.apache.spark" %% "spark-core" % sparkVersion,
+  "org.apache.spark" %% "spark-sql" % sparkVersion,
+  // logging
+  "org.apache.logging.log4j" % "log4j-api" % "2.4.1",
+  "org.apache.logging.log4j" % "log4j-core" % "2.4.1",
+  // postgres for DB connectivity
+  "org.postgresql" % "postgresql" % postgresVersion
+)
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/project/build.properties b/PROFESORES/PYSPARK/spark-scala/project/build.properties
new file mode 100644
index 000000000..331a838c9
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/build.properties
@@ -0,0 +1 @@
+sbt.version = 1.9.7
\ No newline at end of file
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--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/config-classes/$00567fb0955ed4311c65.cache
@@ -0,0 +1 @@
+sbt.internal.DslEntry
\ No newline at end of file
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--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/config-classes/$216db333c2cf68f16894.cache
@@ -0,0 +1 @@
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\ No newline at end of file
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--- /dev/null
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new file mode 100644
index 000000000..050f36c67
--- /dev/null
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@@ -0,0 +1 @@
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\ No newline at end of file
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new file mode 100644
index 000000000..050f36c67
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/config-classes/$9a4338a0896765827e20.cache
@@ -0,0 +1 @@
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new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/projectDescriptors/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/projectDescriptors/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/scalaCompilerBridgeScope/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/scalaCompilerBridgeScope/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/update/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/update/_global/streams/out
new file mode 100644
index 000000000..b3adba30a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/_global/update/_global/streams/out
@@ -0,0 +1,3 @@
+[debug] not up to date. inChanged = true, force = false
+[debug] Updating ProjectRef(uri("file:/C:/Users/papon/OneDrive/Escritorio/spark-scala/project/"), "spark-scala-build")...
+[debug] Done updating ProjectRef(uri("file:/C:/Users/papon/OneDrive/Escritorio/spark-scala/project/"), "spark-scala-build")
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/compileOutputs/previous b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/compileOutputs/previous
new file mode 100644
index 000000000..e4c5f2774
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/compileOutputs/previous
@@ -0,0 +1 @@
+["sbt.Task[scala.collection.Seq[java.nio.file.Path]]",["C:\\Users\\papon\\OneDrive\\Documentos\\SalvaDatos_Pablo\\EDEM\\2023_24_sessions\\spark-scala\\project\\target\\scala-2.12\\sbt-1.0\\zinc\\inc_compile_2.12.zip"]]
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/discoveredMainClasses/data b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/discoveredMainClasses/data
new file mode 100644
index 000000000..0637a088a
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/_global/_global/discoveredMainClasses/data
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/bspReporter/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/bspReporter/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compile/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compile/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compileIncremental/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compileIncremental/_global/streams/export
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compileIncremental/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compileIncremental/_global/streams/out
new file mode 100644
index 000000000..5db868707
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/compileIncremental/_global/streams/out
@@ -0,0 +1,6 @@
+[debug] [zinc] IncrementalCompile -----------
+[debug] IncrementalCompile.incrementalCompile
+[debug] previous = Stamps for: 0 products, 0 sources, 0 libraries
+[debug] current source = Set()
+[debug] > initialChanges = InitialChanges(Changes(added = Set(), removed = Set(), changed = Set(), unmodified = ...),Set(),Set(),API Changes: Set())
+[debug] Full compilation, no sources in previous analysis.
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/copyResources/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/copyResources/_global/streams/out
new file mode 100644
index 000000000..499952762
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/copyResources/_global/streams/out
@@ -0,0 +1,2 @@
+[debug] Copy resource mappings: 
+[debug] 	
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/dependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/dependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..a89fbc8da
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/dependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/exportedProducts/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/exportedProducts/_global/streams/export
new file mode 100644
index 000000000..2d3c6fe05
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/exportedProducts/_global/streams/export
@@ -0,0 +1 @@
+C:\Users\papon\OneDrive\Documentos\SalvaDatos_Pablo\EDEM\2023_24_sessions\spark-scala\project\target\scala-2.12\sbt-1.0\classes
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/externalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/externalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..a89fbc8da
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/externalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
+C:\Users\papon\.sbt\boot\scala-2.12.18\lib\scala-library.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\lib\scala-compiler.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\lib\scala-reflect.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\lib\scala-xml_2.12-2.1.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\actions_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\caffeine-2.8.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\checker-qual-3.4.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\collections_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\command_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\compiler-bridge_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\compiler-interface-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\completion_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\config-1.4.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\core-macros_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\disruptor-3.4.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\error_prone_annotations-2.4.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\file-tree-views-2.1.12.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\gigahorse-apache-http_2.12-0.7.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\gigahorse-core_2.12-0.7.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\io_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\ipcsocket-1.6.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\ivy-2.3.0-sbt-396a783bba347016e7fe30dacc60d355be607fe2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jansi-2.1.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-2.14.7-sbt-a1b0ffbb8f64bb820f4f84a0c07a0c0964507493.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-builtins-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-reader-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-style-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-terminal-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-terminal-jansi-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jline-terminal-jna-3.19.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jna-5.13.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jna-platform-5.13.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\jsch-0.1.54.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\launcher-interface-1.4.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\librarymanagement-core_2.12-1.9.3.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\librarymanagement-ivy_2.12-1.9.3.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\lm-coursier-shaded_2.12-2.1.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\log4j-api-2.17.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\log4j-core-2.17.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\log4j-slf4j-impl-2.17.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\logic_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\main-settings_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\main_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\protocol_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\reactive-streams-1.0.3.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\run_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sbinary_2.12-0.5.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sbt-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-collection-compat_2.12-2.10.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-compiler-2.12.18.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-library-2.12.18.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-parser-combinators_2.12-1.1.2.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-reflect-2.12.18.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scala-xml_2.12-2.2.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\scripted-plugin_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\shaded-apache-httpasyncclient-0.7.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\shaded-jawn-parser_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\shaded-scalajson_2.12-1.0.0-M4.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-core_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-murmurhash_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-scalajson_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\slf4j-api-1.7.36.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\ssl-config-core_2.12-0.6.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\task-system_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\tasks_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\template-resolver-0.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\test-agent-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\test-interface-1.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\testing_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-cache_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-control_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-interface-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-logging_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-position_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-relation_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-tracking_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zero-allocation-hashing-0.10.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-apiinfo_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-classfile_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-classpath_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-compile-core_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-compile_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-core_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-lm-integration_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-persist-core-assembly-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-persist_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc_2.12-1.9.5.jar
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/incOptions/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/incOptions/_global/streams/out
new file mode 100644
index 000000000..d2b471e9e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/incOptions/_global/streams/out
@@ -0,0 +1,5 @@
+[debug] Created transactional ClassFileManager with tempDir = C:\Users\papon\OneDrive\Documentos\SalvaDatos_Pablo\EDEM\2023_24_sessions\spark-scala\project\target\scala-2.12\sbt-1.0\classes.bak
+[debug] About to delete class files:
+[debug] We backup class files:
+[debug] Created transactional ClassFileManager with tempDir = C:\Users\papon\OneDrive\Documentos\SalvaDatos_Pablo\EDEM\2023_24_sessions\spark-scala\project\target\scala-2.12\sbt-1.0\classes.bak
+[debug] Removing the temporary directory used for backing up class files: C:\Users\papon\OneDrive\Documentos\SalvaDatos_Pablo\EDEM\2023_24_sessions\spark-scala\project\target\scala-2.12\sbt-1.0\classes.bak
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/internalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/internalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/internalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/internalDependencyClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/internalDependencyClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/managedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/managedClasspath/_global/streams/export
new file mode 100644
index 000000000..a89fbc8da
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/managedClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/scalacOptions/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/scalacOptions/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedJars/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedJars/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/compile/unmanagedJars/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/dependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/dependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..8ed03c369
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/dependencyClasspath/_global/streams/export
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/exportedProducts/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/exportedProducts/_global/streams/export
new file mode 100644
index 000000000..2d3c6fe05
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/exportedProducts/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/externalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/externalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..5ac6f32f4
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/externalDependencyClasspath/_global/streams/export
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/fullClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/fullClasspath/_global/streams/export
new file mode 100644
index 000000000..8ed03c369
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/fullClasspath/_global/streams/export
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/internalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/internalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..2d3c6fe05
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/internalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/internalDependencyClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/internalDependencyClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/managedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/managedClasspath/_global/streams/export
new file mode 100644
index 000000000..5ac6f32f4
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/managedClasspath/_global/streams/export
@@ -0,0 +1 @@
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la-sbt\sbt\1.9.7\shaded-jawn-parser_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\shaded-scalajson_2.12-1.0.0-M4.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-core_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-murmurhash_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\sjson-new-scalajson_2.12-0.9.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\slf4j-api-1.7.36.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\ssl-config-core_2.12-0.6.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\task-system_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\tasks_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\template-resolver-0.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\test-agent-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\test-interface-1.0.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\testing_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-cache_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-control_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-interface-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-logging_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-position_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-relation_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\util-tracking_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zero-allocation-hashing-0.10.1.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-apiinfo_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-classfile_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-classpath_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-compile-core_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-compile_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-core_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-lm-integration_2.12-1.9.7.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-persist-core-assembly-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc-persist_2.12-1.9.5.jar;C:\Users\papon\.sbt\boot\scala-2.12.18\org.scala-sbt\sbt\1.9.7\zinc_2.12-1.9.5.jar
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedJars/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedJars/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/project/target/streams/runtime/unmanagedJars/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/src/main/resources/dataset/example.csv b/PROFESORES/PYSPARK/spark-scala/src/main/resources/dataset/example.csv
new file mode 100644
index 000000000..192148b27
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/src/main/resources/dataset/example.csv
@@ -0,0 +1,3 @@
+example,no
+ex1,1
+ex2,2
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/src/main/scala/Example.scala b/PROFESORES/PYSPARK/spark-scala/src/main/scala/Example.scala
new file mode 100644
index 000000000..8cca7a0bb
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/src/main/scala/Example.scala
@@ -0,0 +1,16 @@
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.functions._
+
+object Example extends App {
+
+  val spark = SparkSession.builder()
+    .appName("Example")
+    .config("spark.master", "local")
+    .getOrCreate()
+
+  val exampleDF = spark.read
+    .option("inferSchema", "true")
+    .csv("src/main/resources/dataset/example.csv")
+
+  exampleDF.show()
+}
diff --git a/PROFESORES/PYSPARK/spark-scala/target/.history3 b/PROFESORES/PYSPARK/spark-scala/target/.history3
new file mode 100644
index 000000000..b4c7b8a42
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/.history3
@@ -0,0 +1 @@
+1704659756149:;set _root_.scala.collection.Seq(historyPath := None,shellPrompt := { _ => "" },SettingKey[_root_.scala.Option[_root_.sbt.File]]("sbtStructureOutputFile") in _root_.sbt.Global := _root_.scala.Some(_root_.sbt.file("C:/Users/papon/AppData/Local/Temp/sbt-structure.xml")),SettingKey[_root_.java.lang.String]("sbtStructureOptions") in _root_.sbt.Global := "download, resolveClassifiers");apply -cp "C:/Users/papon/AppData/Roaming/JetBrains/IdeaIC2021.2/plugins/Scala/repo/org/jetbrains/scala/sbt-structure-extractor_2.12_1.0/2021.1.1/sbt-structure-extractor-2021.1.1.jar" org.jetbrains.sbt.CreateTasks;*/*:dumpStructure
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$.class b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$.class
new file mode 100644
index 000000000..1b1123757
Binary files /dev/null and b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$.class differ
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$delayedInit$body.class b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$delayedInit$body.class
new file mode 100644
index 000000000..0ab3da59c
Binary files /dev/null and b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example$delayedInit$body.class differ
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example.class b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example.class
new file mode 100644
index 000000000..756e67ce7
Binary files /dev/null and b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/Example.class differ
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/dataset/example.csv b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/dataset/example.csv
new file mode 100644
index 000000000..192148b27
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/classes/dataset/example.csv
@@ -0,0 +1,3 @@
+example,no
+ex1,1
+ex2,2
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/inputs b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/inputs
new file mode 100644
index 000000000..755094028
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/inputs
@@ -0,0 +1 @@
+-1553174179
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/output b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/output
new file mode 100644
index 000000000..9f021152c
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/scala-2.12/update/update_cache_2.12/output
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.13/update/update_cache_2.13/inputs b/PROFESORES/PYSPARK/spark-scala/target/scala-2.13/update/update_cache_2.13/inputs
new file mode 100644
index 000000000..ef9567c35
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+1611128951
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/target/scala-2.13/update/update_cache_2.13/output b/PROFESORES/PYSPARK/spark-scala/target/scala-2.13/update/update_cache_2.13/output
new file mode 100644
index 000000000..305aba27d
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/csrLogger/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/csrLogger/_global/streams/out
new file mode 100644
index 000000000..d187372dd
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/csrLogger/_global/streams/out
@@ -0,0 +1,4 @@
+[debug] downloaded https://repo1.maven.org/maven2/org/apache/spark/spark-sql_2.13/3.1.2/spark-sql_2.13-3.1.2.pom
+[debug] downloaded https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.13/3.1.2/spark-core_2.13-3.1.2.pom
+[debug] downloaded https://repo1.maven.org/maven2/org/apache/spark/spark-sql_2.13/3.1.2/spark-sql_2.13-3.1.2.pom.sha1
+[debug] downloaded https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.13/3.1.2/spark-core_2.13-3.1.2.pom.sha1
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/dumpStructure/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/dumpStructure/_global/streams/out
new file mode 100644
index 000000000..6e492c619
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/_global/dumpStructure/_global/streams/out
@@ -0,0 +1,2 @@
+[info] Writing structure to C:\Users\papon\AppData\Local\Temp\sbt-structure.xml...
+[info] Done.
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/csrConfiguration/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/csrConfiguration/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/csrProject/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/csrProject/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/input_dsp b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/input_dsp
new file mode 100644
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--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/input_dsp
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/output_dsp b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/output_dsp
new file mode 100644
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+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.12/output_dsp
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.13/input_dsp b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.13/input_dsp
new file mode 100644
index 000000000..562128495
--- /dev/null
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.13/output_dsp b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.13/output_dsp
new file mode 100644
index 000000000..3b052c265
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+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/dependencyPositions/_global/streams/update_cache_2.13/output_dsp
@@ -0,0 +1 @@
+{"{\"organization\":\"org.apache.logging.log4j\",\"name\":\"log4j-core\",\"revision\":\"2.4.1\",\"isChanging\":false,\"isTransitive\":true,\"isForce\":false,\"explicitArtifacts\":[],\"inclusions\":[],\"exclusions\":[],\"extraAttributes\":{},\"crossVersion\":{\"type\":\"Disabled\"}}":{"value":{"$fields":["path","range"],"path":"C:\\Users\\papon\\OneDrive\\Escritorio\\spark-scala\\build.sbt","range":{"$fields":["start","end"],"start":7,"end":14}},"type":"RangePosition"},"{\"organization\":\"org.apache.spark\",\"name\":\"spark-core\",\"revision\":\"3.1.2\",\"isChanging\":false,\"isTransitive\":true,\"isForce\":false,\"explicitArtifacts\":[],\"inclusions\":[],\"exclusions\":[],\"extraAttributes\":{},\"crossVersion\":{\"type\":\"Binary\",\"prefix\":\"\",\"suffix\":\"\"}}":{"value":{"$fields":["path","range"],"path":"C:\\Users\\papon\\OneDrive\\Escritorio\\spark-scala\\build.sbt","range":{"$fields":["start","end"],"start":7,"end":14}},"type":"RangePosition"},"{\"organization\":\"org.apache.logging.log4j\",\"name\":\"log4j-api\",\"revision\":\"2.4.1\",\"isChanging\":false,\"isTransitive\":true,\"isForce\":false,\"explicitArtifacts\":[],\"inclusions\":[],\"exclusions\":[],\"extraAttributes\":{},\"crossVersion\":{\"type\":\"Disabled\"}}":{"value":{"$fields":["path","range"],"path":"C:\\Users\\papon\\OneDrive\\Escritorio\\spark-scala\\build.sbt","range":{"$fields":["start","end"],"start":7,"end":14}},"type":"RangePosition"},"{\"organization\":\"org.scala-lang\",\"name\":\"scala-library\",\"revision\":\"2.13.12\",\"isChanging\":false,\"isTransitive\":true,\"isForce\":false,\"explicitArtifacts\":[],\"inclusions\":[],\"exclusions\":[],\"extraAttributes\":{},\"crossVersion\":{\"type\":\"Disabled\"}}":{"value":{"$fields":["path","range"],"path":"C:\\Users\\papon\\OneDrive\\Escritorio\\spark-scala\\build.sbt","range":{"$fields":["start","end"],"start":7,"end":14}},"type":"RangePosition"},"{\"organization\":\"org.apache.spark\",\"name\":\"spark-sql\",\"revision\":\"3.1.2\",\"isChanging\":false,\"isTransitive\":true,\"isForce\":false,\"explicitArtifacts\":[],\"inclusions\":[],\"exclusions\":[],\"extraAttributes\":{},\"crossVersion\":{\"type\":\"Binary\",\"prefix\":\"\",\"suffix\":\"\"}}":{"value":{"$fields":["path","range"],"path":"C:\\Users\\papon\\OneDrive\\Escritorio\\spark-scala\\build.sbt","range":{"$fields":["start","end"],"start":7,"end":14}},"type":"RangePosition"}}
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ivyConfiguration/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ivyConfiguration/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ivySbt/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ivySbt/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/moduleSettings/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/moduleSettings/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/projectDescriptors/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/projectDescriptors/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ssExtractDependencies/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ssExtractDependencies/_global/streams/out
new file mode 100644
index 000000000..9cbf66671
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/ssExtractDependencies/_global/streams/out
@@ -0,0 +1,50 @@
+[error] sbt.librarymanagement.ResolveException: Error downloading org.apache.spark:spark-sql_2.13:3.1.2
+[error]   Not found
+[error]   Not found
+[error]   not found: C:\Users\papon\.ivy2\localorg.apache.spark\spark-sql_2.13\3.1.2\ivys\ivy.xml
+[error]   not found: https://repo1.maven.org/maven2/org/apache/spark/spark-sql_2.13/3.1.2/spark-sql_2.13-3.1.2.pom
+[error] Error downloading org.apache.spark:spark-core_2.13:3.1.2
+[error]   Not found
+[error]   Not found
+[error]   not found: C:\Users\papon\.ivy2\localorg.apache.spark\spark-core_2.13\3.1.2\ivys\ivy.xml
+[error]   not found: https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.13/3.1.2/spark-core_2.13-3.1.2.pom
+[error] 	at lmcoursier.CoursierDependencyResolution.unresolvedWarningOrThrow(CoursierDependencyResolution.scala:344)
+[error] 	at lmcoursier.CoursierDependencyResolution.$anonfun$update$38(CoursierDependencyResolution.scala:313)
+[error] 	at scala.util.Either$LeftProjection.map(Either.scala:573)
+[error] 	at lmcoursier.CoursierDependencyResolution.update(CoursierDependencyResolution.scala:313)
+[error] 	at sbt.librarymanagement.DependencyResolution.update(DependencyResolution.scala:60)
+[error] 	at sbt.internal.LibraryManagement$.resolve$1(LibraryManagement.scala:60)
+[error] 	at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$12(LibraryManagement.scala:134)
+[error] 	at sbt.util.Tracked$.$anonfun$lastOutput$1(Tracked.scala:74)
+[error] 	at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$20(LibraryManagement.scala:147)
+[error] 	at scala.util.control.Exception$Catch.apply(Exception.scala:228)
+[error] 	at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$11(LibraryManagement.scala:147)
+[error] 	at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$11$adapted(LibraryManagement.scala:128)
+[error] 	at sbt.util.Tracked$.$anonfun$inputChangedW$1(Tracked.scala:220)
+[error] 	at sbt.internal.LibraryManagement$.cachedUpdate(LibraryManagement.scala:161)
+[error] 	at sbt.Classpaths$.$anonfun$updateTask0$1(Defaults.scala:3801)
+[error] 	at scala.Function1.$anonfun$compose$1(Function1.scala:49)
+[error] 	at sbt.internal.util.$tilde$greater.$anonfun$$u2219$1(TypeFunctions.scala:63)
+[error] 	at sbt.std.Transform$$anon$4.work(Transform.scala:69)
+[error] 	at sbt.Execute.$anonfun$submit$2(Execute.scala:283)
+[error] 	at sbt.internal.util.ErrorHandling$.wideConvert(ErrorHandling.scala:24)
+[error] 	at sbt.Execute.work(Execute.scala:292)
+[error] 	at sbt.Execute.$anonfun$submit$1(Execute.scala:283)
+[error] 	at sbt.ConcurrentRestrictions$$anon$4.$anonfun$submitValid$1(ConcurrentRestrictions.scala:265)
+[error] 	at sbt.CompletionService$$anon$2.call(CompletionService.scala:65)
+[error] 	at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
+[error] 	at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
+[error] 	at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
+[error] 	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
+[error] 	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
+[error] 	at java.base/java.lang.Thread.run(Thread.java:834)
+[error] (ssExtractDependencies) sbt.librarymanagement.ResolveException: Error downloading org.apache.spark:spark-sql_2.13:3.1.2
+[error]   Not found
+[error]   Not found
+[error]   not found: C:\Users\papon\.ivy2\localorg.apache.spark\spark-sql_2.13\3.1.2\ivys\ivy.xml
+[error]   not found: https://repo1.maven.org/maven2/org/apache/spark/spark-sql_2.13/3.1.2/spark-sql_2.13-3.1.2.pom
+[error] Error downloading org.apache.spark:spark-core_2.13:3.1.2
+[error]   Not found
+[error]   Not found
+[error]   not found: C:\Users\papon\.ivy2\localorg.apache.spark\spark-core_2.13\3.1.2\ivys\ivy.xml
+[error]   not found: https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.13/3.1.2/spark-core_2.13-3.1.2.pom
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/update/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/update/_global/streams/out
new file mode 100644
index 000000000..dad971a5d
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/update/_global/streams/out
@@ -0,0 +1,3 @@
+[debug] not up to date. inChanged = true, force = false
+[debug] Updating ...
+[debug] Done updating 
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/out
new file mode 100644
index 000000000..57115fa7c
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/out
@@ -0,0 +1,3 @@
+[debug] not up to date. inChanged = true, force = false
+[debug] Updating ProjectRef(uri("file:/C:/Users/papon/OneDrive/Escritorio/spark-scala/"), "spark-scala")...
+[debug] Done updating ProjectRef(uri("file:/C:/Users/papon/OneDrive/Escritorio/spark-scala/"), "spark-scala")
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/inputs b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/inputs
new file mode 100644
index 000000000..b7ba7d96e
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/inputs
@@ -0,0 +1 @@
+-1189860260
\ No newline at end of file
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/output b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/output
new file mode 100644
index 000000000..820fa6028
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.12/output
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.13/inputs b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.13/inputs
new file mode 100644
index 000000000..be1ff61b0
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.13/output b/PROFESORES/PYSPARK/spark-scala/target/streams/_global/updateClassifiers/_global/streams/update_cache_2.13/output
new file mode 100644
index 000000000..89981d22a
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/externalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/externalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/externalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/managedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/managedClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/managedClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/scalacOptions/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/scalacOptions/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedJars/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedJars/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/compile/unmanagedJars/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/externalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/externalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/externalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/managedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/managedClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/managedClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedJars/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedJars/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/runtime/unmanagedJars/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/test/externalDependencyClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/test/externalDependencyClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/test/externalDependencyClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/test/managedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/test/managedClasspath/_global/streams/export
new file mode 100644
index 000000000..f5b848ce5
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/test/managedClasspath/_global/streams/export
@@ -0,0 +1 @@
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diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedClasspath/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedClasspath/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedClasspath/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedClasspath/_global/streams/out b/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedClasspath/_global/streams/out
new file mode 100644
index 000000000..e69de29bb
diff --git a/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedJars/_global/streams/export b/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedJars/_global/streams/export
new file mode 100644
index 000000000..8b1378917
--- /dev/null
+++ b/PROFESORES/PYSPARK/spark-scala/target/streams/test/unmanagedJars/_global/streams/export
@@ -0,0 +1 @@
+
diff --git a/PROFESORES/PYTHON/Datos/pokemon_data.csv b/PROFESORES/PYTHON/Datos/pokemon_data.csv
new file mode 100644
index 000000000..136cd7c01
--- /dev/null
+++ b/PROFESORES/PYTHON/Datos/pokemon_data.csv
@@ -0,0 +1,801 @@
+#,Name,Type 1,Type 2,HP,Attack,Defense,Sp. Atk,Sp. Def,Speed,Generation,Legendary
+1,Bulbasaur,Grass,Poison,45,49,49,65,65,45,1,FALSE
+2,Ivysaur,Grass,Poison,60,62,63,80,80,60,1,FALSE
+3,Venusaur,Grass,Poison,80,82,83,100,100,80,1,FALSE
+3,VenusaurMega Venusaur,Grass,Poison,80,100,123,122,120,80,1,FALSE
+4,Charmander,Fire,,39,52,43,60,50,65,1,FALSE
+5,Charmeleon,Fire,,58,64,58,80,65,80,1,FALSE
+6,Charizard,Fire,Flying,78,84,78,109,85,100,1,FALSE
+6,CharizardMega Charizard X,Fire,Dragon,78,130,111,130,85,100,1,FALSE
+6,CharizardMega Charizard Y,Fire,Flying,78,104,78,159,115,100,1,FALSE
+7,Squirtle,Water,,44,48,65,50,64,43,1,FALSE
+8,Wartortle,Water,,59,63,80,65,80,58,1,FALSE
+9,Blastoise,Water,,79,83,100,85,105,78,1,FALSE
+9,BlastoiseMega Blastoise,Water,,79,103,120,135,115,78,1,FALSE
+10,Caterpie,Bug,,45,30,35,20,20,45,1,FALSE
+11,Metapod,Bug,,50,20,55,25,25,30,1,FALSE
+12,Butterfree,Bug,Flying,60,45,50,90,80,70,1,FALSE
+13,Weedle,Bug,Poison,40,35,30,20,20,50,1,FALSE
+14,Kakuna,Bug,Poison,45,25,50,25,25,35,1,FALSE
+15,Beedrill,Bug,Poison,65,90,40,45,80,75,1,FALSE
+15,BeedrillMega Beedrill,Bug,Poison,65,150,40,15,80,145,1,FALSE
+16,Pidgey,Normal,Flying,40,45,40,35,35,56,1,FALSE
+17,Pidgeotto,Normal,Flying,63,60,55,50,50,71,1,FALSE
+18,Pidgeot,Normal,Flying,83,80,75,70,70,101,1,FALSE
+18,PidgeotMega Pidgeot,Normal,Flying,83,80,80,135,80,121,1,FALSE
+19,Rattata,Normal,,30,56,35,25,35,72,1,FALSE
+20,Raticate,Normal,,55,81,60,50,70,97,1,FALSE
+21,Spearow,Normal,Flying,40,60,30,31,31,70,1,FALSE
+22,Fearow,Normal,Flying,65,90,65,61,61,100,1,FALSE
+23,Ekans,Poison,,35,60,44,40,54,55,1,FALSE
+24,Arbok,Poison,,60,85,69,65,79,80,1,FALSE
+25,Pikachu,Electric,,35,55,40,50,50,90,1,FALSE
+26,Raichu,Electric,,60,90,55,90,80,110,1,FALSE
+27,Sandshrew,Ground,,50,75,85,20,30,40,1,FALSE
+28,Sandslash,Ground,,75,100,110,45,55,65,1,FALSE
+29,Nidoran (Female),Poison,,55,47,52,40,40,41,1,FALSE
+30,Nidorina,Poison,,70,62,67,55,55,56,1,FALSE
+31,Nidoqueen,Poison,Ground,90,92,87,75,85,76,1,FALSE
+32,Nidoran (Male),Poison,,46,57,40,40,40,50,1,FALSE
+33,Nidorino,Poison,,61,72,57,55,55,65,1,FALSE
+34,Nidoking,Poison,Ground,81,102,77,85,75,85,1,FALSE
+35,Clefairy,Fairy,,70,45,48,60,65,35,1,FALSE
+36,Clefable,Fairy,,95,70,73,95,90,60,1,FALSE
+37,Vulpix,Fire,,38,41,40,50,65,65,1,FALSE
+38,Ninetales,Fire,,73,76,75,81,100,100,1,FALSE
+39,Jigglypuff,Normal,Fairy,115,45,20,45,25,20,1,FALSE
+40,Wigglytuff,Normal,Fairy,140,70,45,85,50,45,1,FALSE
+41,Zubat,Poison,Flying,40,45,35,30,40,55,1,FALSE
+42,Golbat,Poison,Flying,75,80,70,65,75,90,1,FALSE
+43,Oddish,Grass,Poison,45,50,55,75,65,30,1,FALSE
+44,Gloom,Grass,Poison,60,65,70,85,75,40,1,FALSE
+45,Vileplume,Grass,Poison,75,80,85,110,90,50,1,FALSE
+46,Paras,Bug,Grass,35,70,55,45,55,25,1,FALSE
+47,Parasect,Bug,Grass,60,95,80,60,80,30,1,FALSE
+48,Venonat,Bug,Poison,60,55,50,40,55,45,1,FALSE
+49,Venomoth,Bug,Poison,70,65,60,90,75,90,1,FALSE
+50,Diglett,Ground,,10,55,25,35,45,95,1,FALSE
+51,Dugtrio,Ground,,35,80,50,50,70,120,1,FALSE
+52,Meowth,Normal,,40,45,35,40,40,90,1,FALSE
+53,Persian,Normal,,65,70,60,65,65,115,1,FALSE
+54,Psyduck,Water,,50,52,48,65,50,55,1,FALSE
+55,Golduck,Water,,80,82,78,95,80,85,1,FALSE
+56,Mankey,Fighting,,40,80,35,35,45,70,1,FALSE
+57,Primeape,Fighting,,65,105,60,60,70,95,1,FALSE
+58,Growlithe,Fire,,55,70,45,70,50,60,1,FALSE
+59,Arcanine,Fire,,90,110,80,100,80,95,1,FALSE
+60,Poliwag,Water,,40,50,40,40,40,90,1,FALSE
+61,Poliwhirl,Water,,65,65,65,50,50,90,1,FALSE
+62,Poliwrath,Water,Fighting,90,95,95,70,90,70,1,FALSE
+63,Abra,Psychic,,25,20,15,105,55,90,1,FALSE
+64,Kadabra,Psychic,,40,35,30,120,70,105,1,FALSE
+65,Alakazam,Psychic,,55,50,45,135,95,120,1,FALSE
+65,AlakazamMega Alakazam,Psychic,,55,50,65,175,95,150,1,FALSE
+66,Machop,Fighting,,70,80,50,35,35,35,1,FALSE
+67,Machoke,Fighting,,80,100,70,50,60,45,1,FALSE
+68,Machamp,Fighting,,90,130,80,65,85,55,1,FALSE
+69,Bellsprout,Grass,Poison,50,75,35,70,30,40,1,FALSE
+70,Weepinbell,Grass,Poison,65,90,50,85,45,55,1,FALSE
+71,Victreebel,Grass,Poison,80,105,65,100,70,70,1,FALSE
+72,Tentacool,Water,Poison,40,40,35,50,100,70,1,FALSE
+73,Tentacruel,Water,Poison,80,70,65,80,120,100,1,FALSE
+74,Geodude,Rock,Ground,40,80,100,30,30,20,1,FALSE
+75,Graveler,Rock,Ground,55,95,115,45,45,35,1,FALSE
+76,Golem,Rock,Ground,80,120,130,55,65,45,1,FALSE
+77,Ponyta,Fire,,50,85,55,65,65,90,1,FALSE
+78,Rapidash,Fire,,65,100,70,80,80,105,1,FALSE
+79,Slowpoke,Water,Psychic,90,65,65,40,40,15,1,FALSE
+80,Slowbro,Water,Psychic,95,75,110,100,80,30,1,FALSE
+80,SlowbroMega Slowbro,Water,Psychic,95,75,180,130,80,30,1,FALSE
+81,Magnemite,Electric,Steel,25,35,70,95,55,45,1,FALSE
+82,Magneton,Electric,Steel,50,60,95,120,70,70,1,FALSE
+83,Farfetch'd,Normal,Flying,52,65,55,58,62,60,1,FALSE
+84,Doduo,Normal,Flying,35,85,45,35,35,75,1,FALSE
+85,Dodrio,Normal,Flying,60,110,70,60,60,100,1,FALSE
+86,Seel,Water,,65,45,55,45,70,45,1,FALSE
+87,Dewgong,Water,Ice,90,70,80,70,95,70,1,FALSE
+88,Grimer,Poison,,80,80,50,40,50,25,1,FALSE
+89,Muk,Poison,,105,105,75,65,100,50,1,FALSE
+90,Shellder,Water,,30,65,100,45,25,40,1,FALSE
+91,Cloyster,Water,Ice,50,95,180,85,45,70,1,FALSE
+92,Gastly,Ghost,Poison,30,35,30,100,35,80,1,FALSE
+93,Haunter,Ghost,Poison,45,50,45,115,55,95,1,FALSE
+94,Gengar,Ghost,Poison,60,65,60,130,75,110,1,FALSE
+94,GengarMega Gengar,Ghost,Poison,60,65,80,170,95,130,1,FALSE
+95,Onix,Rock,Ground,35,45,160,30,45,70,1,FALSE
+96,Drowzee,Psychic,,60,48,45,43,90,42,1,FALSE
+97,Hypno,Psychic,,85,73,70,73,115,67,1,FALSE
+98,Krabby,Water,,30,105,90,25,25,50,1,FALSE
+99,Kingler,Water,,55,130,115,50,50,75,1,FALSE
+100,Voltorb,Electric,,40,30,50,55,55,100,1,FALSE
+101,Electrode,Electric,,60,50,70,80,80,140,1,FALSE
+102,Exeggcute,Grass,Psychic,60,40,80,60,45,40,1,FALSE
+103,Exeggutor,Grass,Psychic,95,95,85,125,65,55,1,FALSE
+104,Cubone,Ground,,50,50,95,40,50,35,1,FALSE
+105,Marowak,Ground,,60,80,110,50,80,45,1,FALSE
+106,Hitmonlee,Fighting,,50,120,53,35,110,87,1,FALSE
+107,Hitmonchan,Fighting,,50,105,79,35,110,76,1,FALSE
+108,Lickitung,Normal,,90,55,75,60,75,30,1,FALSE
+109,Koffing,Poison,,40,65,95,60,45,35,1,FALSE
+110,Weezing,Poison,,65,90,120,85,70,60,1,FALSE
+111,Rhyhorn,Ground,Rock,80,85,95,30,30,25,1,FALSE
+112,Rhydon,Ground,Rock,105,130,120,45,45,40,1,FALSE
+113,Chansey,Normal,,250,5,5,35,105,50,1,FALSE
+114,Tangela,Grass,,65,55,115,100,40,60,1,FALSE
+115,Kangaskhan,Normal,,105,95,80,40,80,90,1,FALSE
+115,KangaskhanMega Kangaskhan,Normal,,105,125,100,60,100,100,1,FALSE
+116,Horsea,Water,,30,40,70,70,25,60,1,FALSE
+117,Seadra,Water,,55,65,95,95,45,85,1,FALSE
+118,Goldeen,Water,,45,67,60,35,50,63,1,FALSE
+119,Seaking,Water,,80,92,65,65,80,68,1,FALSE
+120,Staryu,Water,,30,45,55,70,55,85,1,FALSE
+121,Starmie,Water,Psychic,60,75,85,100,85,115,1,FALSE
+122,Mr. Mime,Psychic,Fairy,40,45,65,100,120,90,1,FALSE
+123,Scyther,Bug,Flying,70,110,80,55,80,105,1,FALSE
+124,Jynx,Ice,Psychic,65,50,35,115,95,95,1,FALSE
+125,Electabuzz,Electric,,65,83,57,95,85,105,1,FALSE
+126,Magmar,Fire,,65,95,57,100,85,93,1,FALSE
+127,Pinsir,Bug,,65,125,100,55,70,85,1,FALSE
+127,PinsirMega Pinsir,Bug,Flying,65,155,120,65,90,105,1,FALSE
+128,Tauros,Normal,,75,100,95,40,70,110,1,FALSE
+129,Magikarp,Water,,20,10,55,15,20,80,1,FALSE
+130,Gyarados,Water,Flying,95,125,79,60,100,81,1,FALSE
+130,GyaradosMega Gyarados,Water,Dark,95,155,109,70,130,81,1,FALSE
+131,Lapras,Water,Ice,130,85,80,85,95,60,1,FALSE
+132,Ditto,Normal,,48,48,48,48,48,48,1,FALSE
+133,Eevee,Normal,,55,55,50,45,65,55,1,FALSE
+134,Vaporeon,Water,,130,65,60,110,95,65,1,FALSE
+135,Jolteon,Electric,,65,65,60,110,95,130,1,FALSE
+136,Flareon,Fire,,65,130,60,95,110,65,1,FALSE
+137,Porygon,Normal,,65,60,70,85,75,40,1,FALSE
+138,Omanyte,Rock,Water,35,40,100,90,55,35,1,FALSE
+139,Omastar,Rock,Water,70,60,125,115,70,55,1,FALSE
+140,Kabuto,Rock,Water,30,80,90,55,45,55,1,FALSE
+141,Kabutops,Rock,Water,60,115,105,65,70,80,1,FALSE
+142,Aerodactyl,Rock,Flying,80,105,65,60,75,130,1,FALSE
+142,AerodactylMega Aerodactyl,Rock,Flying,80,135,85,70,95,150,1,FALSE
+143,Snorlax,Normal,,160,110,65,65,110,30,1,FALSE
+144,Articuno,Ice,Flying,90,85,100,95,125,85,1,TRUE
+145,Zapdos,Electric,Flying,90,90,85,125,90,100,1,TRUE
+146,Moltres,Fire,Flying,90,100,90,125,85,90,1,TRUE
+147,Dratini,Dragon,,41,64,45,50,50,50,1,FALSE
+148,Dragonair,Dragon,,61,84,65,70,70,70,1,FALSE
+149,Dragonite,Dragon,Flying,91,134,95,100,100,80,1,FALSE
+150,Mewtwo,Psychic,,106,110,90,154,90,130,1,TRUE
+150,MewtwoMega Mewtwo X,Psychic,Fighting,106,190,100,154,100,130,1,TRUE
+150,MewtwoMega Mewtwo Y,Psychic,,106,150,70,194,120,140,1,TRUE
+151,Mew,Psychic,,100,100,100,100,100,100,1,FALSE
+152,Chikorita,Grass,,45,49,65,49,65,45,2,FALSE
+153,Bayleef,Grass,,60,62,80,63,80,60,2,FALSE
+154,Meganium,Grass,,80,82,100,83,100,80,2,FALSE
+155,Cyndaquil,Fire,,39,52,43,60,50,65,2,FALSE
+156,Quilava,Fire,,58,64,58,80,65,80,2,FALSE
+157,Typhlosion,Fire,,78,84,78,109,85,100,2,FALSE
+158,Totodile,Water,,50,65,64,44,48,43,2,FALSE
+159,Croconaw,Water,,65,80,80,59,63,58,2,FALSE
+160,Feraligatr,Water,,85,105,100,79,83,78,2,FALSE
+161,Sentret,Normal,,35,46,34,35,45,20,2,FALSE
+162,Furret,Normal,,85,76,64,45,55,90,2,FALSE
+163,Hoothoot,Normal,Flying,60,30,30,36,56,50,2,FALSE
+164,Noctowl,Normal,Flying,100,50,50,76,96,70,2,FALSE
+165,Ledyba,Bug,Flying,40,20,30,40,80,55,2,FALSE
+166,Ledian,Bug,Flying,55,35,50,55,110,85,2,FALSE
+167,Spinarak,Bug,Poison,40,60,40,40,40,30,2,FALSE
+168,Ariados,Bug,Poison,70,90,70,60,60,40,2,FALSE
+169,Crobat,Poison,Flying,85,90,80,70,80,130,2,FALSE
+170,Chinchou,Water,Electric,75,38,38,56,56,67,2,FALSE
+171,Lanturn,Water,Electric,125,58,58,76,76,67,2,FALSE
+172,Pichu,Electric,,20,40,15,35,35,60,2,FALSE
+173,Cleffa,Fairy,,50,25,28,45,55,15,2,FALSE
+174,Igglybuff,Normal,Fairy,90,30,15,40,20,15,2,FALSE
+175,Togepi,Fairy,,35,20,65,40,65,20,2,FALSE
+176,Togetic,Fairy,Flying,55,40,85,80,105,40,2,FALSE
+177,Natu,Psychic,Flying,40,50,45,70,45,70,2,FALSE
+178,Xatu,Psychic,Flying,65,75,70,95,70,95,2,FALSE
+179,Mareep,Electric,,55,40,40,65,45,35,2,FALSE
+180,Flaaffy,Electric,,70,55,55,80,60,45,2,FALSE
+181,Ampharos,Electric,,90,75,85,115,90,55,2,FALSE
+181,AmpharosMega Ampharos,Electric,Dragon,90,95,105,165,110,45,2,FALSE
+182,Bellossom,Grass,,75,80,95,90,100,50,2,FALSE
+183,Marill,Water,Fairy,70,20,50,20,50,40,2,FALSE
+184,Azumarill,Water,Fairy,100,50,80,60,80,50,2,FALSE
+185,Sudowoodo,Rock,,70,100,115,30,65,30,2,FALSE
+186,Politoed,Water,,90,75,75,90,100,70,2,FALSE
+187,Hoppip,Grass,Flying,35,35,40,35,55,50,2,FALSE
+188,Skiploom,Grass,Flying,55,45,50,45,65,80,2,FALSE
+189,Jumpluff,Grass,Flying,75,55,70,55,95,110,2,FALSE
+190,Aipom,Normal,,55,70,55,40,55,85,2,FALSE
+191,Sunkern,Grass,,30,30,30,30,30,30,2,FALSE
+192,Sunflora,Grass,,75,75,55,105,85,30,2,FALSE
+193,Yanma,Bug,Flying,65,65,45,75,45,95,2,FALSE
+194,Wooper,Water,Ground,55,45,45,25,25,15,2,FALSE
+195,Quagsire,Water,Ground,95,85,85,65,65,35,2,FALSE
+196,Espeon,Psychic,,65,65,60,130,95,110,2,FALSE
+197,Umbreon,Dark,,95,65,110,60,130,65,2,FALSE
+198,Murkrow,Dark,Flying,60,85,42,85,42,91,2,FALSE
+199,Slowking,Water,Psychic,95,75,80,100,110,30,2,FALSE
+200,Misdreavus,Ghost,,60,60,60,85,85,85,2,FALSE
+201,Unown,Psychic,,48,72,48,72,48,48,2,FALSE
+202,Wobbuffet,Psychic,,190,33,58,33,58,33,2,FALSE
+203,Girafarig,Normal,Psychic,70,80,65,90,65,85,2,FALSE
+204,Pineco,Bug,,50,65,90,35,35,15,2,FALSE
+205,Forretress,Bug,Steel,75,90,140,60,60,40,2,FALSE
+206,Dunsparce,Normal,,100,70,70,65,65,45,2,FALSE
+207,Gligar,Ground,Flying,65,75,105,35,65,85,2,FALSE
+208,Steelix,Steel,Ground,75,85,200,55,65,30,2,FALSE
+208,SteelixMega Steelix,Steel,Ground,75,125,230,55,95,30,2,FALSE
+209,Snubbull,Fairy,,60,80,50,40,40,30,2,FALSE
+210,Granbull,Fairy,,90,120,75,60,60,45,2,FALSE
+211,Qwilfish,Water,Poison,65,95,75,55,55,85,2,FALSE
+212,Scizor,Bug,Steel,70,130,100,55,80,65,2,FALSE
+212,ScizorMega Scizor,Bug,Steel,70,150,140,65,100,75,2,FALSE
+213,Shuckle,Bug,Rock,20,10,230,10,230,5,2,FALSE
+214,Heracross,Bug,Fighting,80,125,75,40,95,85,2,FALSE
+214,HeracrossMega Heracross,Bug,Fighting,80,185,115,40,105,75,2,FALSE
+215,Sneasel,Dark,Ice,55,95,55,35,75,115,2,FALSE
+216,Teddiursa,Normal,,60,80,50,50,50,40,2,FALSE
+217,Ursaring,Normal,,90,130,75,75,75,55,2,FALSE
+218,Slugma,Fire,,40,40,40,70,40,20,2,FALSE
+219,Magcargo,Fire,Rock,50,50,120,80,80,30,2,FALSE
+220,Swinub,Ice,Ground,50,50,40,30,30,50,2,FALSE
+221,Piloswine,Ice,Ground,100,100,80,60,60,50,2,FALSE
+222,Corsola,Water,Rock,55,55,85,65,85,35,2,FALSE
+223,Remoraid,Water,,35,65,35,65,35,65,2,FALSE
+224,Octillery,Water,,75,105,75,105,75,45,2,FALSE
+225,Delibird,Ice,Flying,45,55,45,65,45,75,2,FALSE
+226,Mantine,Water,Flying,65,40,70,80,140,70,2,FALSE
+227,Skarmory,Steel,Flying,65,80,140,40,70,70,2,FALSE
+228,Houndour,Dark,Fire,45,60,30,80,50,65,2,FALSE
+229,Houndoom,Dark,Fire,75,90,50,110,80,95,2,FALSE
+229,HoundoomMega Houndoom,Dark,Fire,75,90,90,140,90,115,2,FALSE
+230,Kingdra,Water,Dragon,75,95,95,95,95,85,2,FALSE
+231,Phanpy,Ground,,90,60,60,40,40,40,2,FALSE
+232,Donphan,Ground,,90,120,120,60,60,50,2,FALSE
+233,Porygon2,Normal,,85,80,90,105,95,60,2,FALSE
+234,Stantler,Normal,,73,95,62,85,65,85,2,FALSE
+235,Smeargle,Normal,,55,20,35,20,45,75,2,FALSE
+236,Tyrogue,Fighting,,35,35,35,35,35,35,2,FALSE
+237,Hitmontop,Fighting,,50,95,95,35,110,70,2,FALSE
+238,Smoochum,Ice,Psychic,45,30,15,85,65,65,2,FALSE
+239,Elekid,Electric,,45,63,37,65,55,95,2,FALSE
+240,Magby,Fire,,45,75,37,70,55,83,2,FALSE
+241,Miltank,Normal,,95,80,105,40,70,100,2,FALSE
+242,Blissey,Normal,,255,10,10,75,135,55,2,FALSE
+243,Raikou,Electric,,90,85,75,115,100,115,2,TRUE
+244,Entei,Fire,,115,115,85,90,75,100,2,TRUE
+245,Suicune,Water,,100,75,115,90,115,85,2,TRUE
+246,Larvitar,Rock,Ground,50,64,50,45,50,41,2,FALSE
+247,Pupitar,Rock,Ground,70,84,70,65,70,51,2,FALSE
+248,Tyranitar,Rock,Dark,100,134,110,95,100,61,2,FALSE
+248,TyranitarMega Tyranitar,Rock,Dark,100,164,150,95,120,71,2,FALSE
+249,Lugia,Psychic,Flying,106,90,130,90,154,110,2,TRUE
+250,Ho-oh,Fire,Flying,106,130,90,110,154,90,2,TRUE
+251,Celebi,Psychic,Grass,100,100,100,100,100,100,2,FALSE
+252,Treecko,Grass,,40,45,35,65,55,70,3,FALSE
+253,Grovyle,Grass,,50,65,45,85,65,95,3,FALSE
+254,Sceptile,Grass,,70,85,65,105,85,120,3,FALSE
+254,SceptileMega Sceptile,Grass,Dragon,70,110,75,145,85,145,3,FALSE
+255,Torchic,Fire,,45,60,40,70,50,45,3,FALSE
+256,Combusken,Fire,Fighting,60,85,60,85,60,55,3,FALSE
+257,Blaziken,Fire,Fighting,80,120,70,110,70,80,3,FALSE
+257,BlazikenMega Blaziken,Fire,Fighting,80,160,80,130,80,100,3,FALSE
+258,Mudkip,Water,,50,70,50,50,50,40,3,FALSE
+259,Marshtomp,Water,Ground,70,85,70,60,70,50,3,FALSE
+260,Swampert,Water,Ground,100,110,90,85,90,60,3,FALSE
+260,SwampertMega Swampert,Water,Ground,100,150,110,95,110,70,3,FALSE
+261,Poochyena,Dark,,35,55,35,30,30,35,3,FALSE
+262,Mightyena,Dark,,70,90,70,60,60,70,3,FALSE
+263,Zigzagoon,Normal,,38,30,41,30,41,60,3,FALSE
+264,Linoone,Normal,,78,70,61,50,61,100,3,FALSE
+265,Wurmple,Bug,,45,45,35,20,30,20,3,FALSE
+266,Silcoon,Bug,,50,35,55,25,25,15,3,FALSE
+267,Beautifly,Bug,Flying,60,70,50,100,50,65,3,FALSE
+268,Cascoon,Bug,,50,35,55,25,25,15,3,FALSE
+269,Dustox,Bug,Poison,60,50,70,50,90,65,3,FALSE
+270,Lotad,Water,Grass,40,30,30,40,50,30,3,FALSE
+271,Lombre,Water,Grass,60,50,50,60,70,50,3,FALSE
+272,Ludicolo,Water,Grass,80,70,70,90,100,70,3,FALSE
+273,Seedot,Grass,,40,40,50,30,30,30,3,FALSE
+274,Nuzleaf,Grass,Dark,70,70,40,60,40,60,3,FALSE
+275,Shiftry,Grass,Dark,90,100,60,90,60,80,3,FALSE
+276,Taillow,Normal,Flying,40,55,30,30,30,85,3,FALSE
+277,Swellow,Normal,Flying,60,85,60,50,50,125,3,FALSE
+278,Wingull,Water,Flying,40,30,30,55,30,85,3,FALSE
+279,Pelipper,Water,Flying,60,50,100,85,70,65,3,FALSE
+280,Ralts,Psychic,Fairy,28,25,25,45,35,40,3,FALSE
+281,Kirlia,Psychic,Fairy,38,35,35,65,55,50,3,FALSE
+282,Gardevoir,Psychic,Fairy,68,65,65,125,115,80,3,FALSE
+282,GardevoirMega Gardevoir,Psychic,Fairy,68,85,65,165,135,100,3,FALSE
+283,Surskit,Bug,Water,40,30,32,50,52,65,3,FALSE
+284,Masquerain,Bug,Flying,70,60,62,80,82,60,3,FALSE
+285,Shroomish,Grass,,60,40,60,40,60,35,3,FALSE
+286,Breloom,Grass,Fighting,60,130,80,60,60,70,3,FALSE
+287,Slakoth,Normal,,60,60,60,35,35,30,3,FALSE
+288,Vigoroth,Normal,,80,80,80,55,55,90,3,FALSE
+289,Slaking,Normal,,150,160,100,95,65,100,3,FALSE
+290,Nincada,Bug,Ground,31,45,90,30,30,40,3,FALSE
+291,Ninjask,Bug,Flying,61,90,45,50,50,160,3,FALSE
+292,Shedinja,Bug,Ghost,1,90,45,30,30,40,3,FALSE
+293,Whismur,Normal,,64,51,23,51,23,28,3,FALSE
+294,Loudred,Normal,,84,71,43,71,43,48,3,FALSE
+295,Exploud,Normal,,104,91,63,91,73,68,3,FALSE
+296,Makuhita,Fighting,,72,60,30,20,30,25,3,FALSE
+297,Hariyama,Fighting,,144,120,60,40,60,50,3,FALSE
+298,Azurill,Normal,Fairy,50,20,40,20,40,20,3,FALSE
+299,Nosepass,Rock,,30,45,135,45,90,30,3,FALSE
+300,Skitty,Normal,,50,45,45,35,35,50,3,FALSE
+301,Delcatty,Normal,,70,65,65,55,55,70,3,FALSE
+302,Sableye,Dark,Ghost,50,75,75,65,65,50,3,FALSE
+302,SableyeMega Sableye,Dark,Ghost,50,85,125,85,115,20,3,FALSE
+303,Mawile,Steel,Fairy,50,85,85,55,55,50,3,FALSE
+303,MawileMega Mawile,Steel,Fairy,50,105,125,55,95,50,3,FALSE
+304,Aron,Steel,Rock,50,70,100,40,40,30,3,FALSE
+305,Lairon,Steel,Rock,60,90,140,50,50,40,3,FALSE
+306,Aggron,Steel,Rock,70,110,180,60,60,50,3,FALSE
+306,AggronMega Aggron,Steel,,70,140,230,60,80,50,3,FALSE
+307,Meditite,Fighting,Psychic,30,40,55,40,55,60,3,FALSE
+308,Medicham,Fighting,Psychic,60,60,75,60,75,80,3,FALSE
+308,MedichamMega Medicham,Fighting,Psychic,60,100,85,80,85,100,3,FALSE
+309,Electrike,Electric,,40,45,40,65,40,65,3,FALSE
+310,Manectric,Electric,,70,75,60,105,60,105,3,FALSE
+310,ManectricMega Manectric,Electric,,70,75,80,135,80,135,3,FALSE
+311,Plusle,Electric,,60,50,40,85,75,95,3,FALSE
+312,Minun,Electric,,60,40,50,75,85,95,3,FALSE
+313,Volbeat,Bug,,65,73,55,47,75,85,3,FALSE
+314,Illumise,Bug,,65,47,55,73,75,85,3,FALSE
+315,Roselia,Grass,Poison,50,60,45,100,80,65,3,FALSE
+316,Gulpin,Poison,,70,43,53,43,53,40,3,FALSE
+317,Swalot,Poison,,100,73,83,73,83,55,3,FALSE
+318,Carvanha,Water,Dark,45,90,20,65,20,65,3,FALSE
+319,Sharpedo,Water,Dark,70,120,40,95,40,95,3,FALSE
+319,SharpedoMega Sharpedo,Water,Dark,70,140,70,110,65,105,3,FALSE
+320,Wailmer,Water,,130,70,35,70,35,60,3,FALSE
+321,Wailord,Water,,170,90,45,90,45,60,3,FALSE
+322,Numel,Fire,Ground,60,60,40,65,45,35,3,FALSE
+323,Camerupt,Fire,Ground,70,100,70,105,75,40,3,FALSE
+323,CameruptMega Camerupt,Fire,Ground,70,120,100,145,105,20,3,FALSE
+324,Torkoal,Fire,,70,85,140,85,70,20,3,FALSE
+325,Spoink,Psychic,,60,25,35,70,80,60,3,FALSE
+326,Grumpig,Psychic,,80,45,65,90,110,80,3,FALSE
+327,Spinda,Normal,,60,60,60,60,60,60,3,FALSE
+328,Trapinch,Ground,,45,100,45,45,45,10,3,FALSE
+329,Vibrava,Ground,Dragon,50,70,50,50,50,70,3,FALSE
+330,Flygon,Ground,Dragon,80,100,80,80,80,100,3,FALSE
+331,Cacnea,Grass,,50,85,40,85,40,35,3,FALSE
+332,Cacturne,Grass,Dark,70,115,60,115,60,55,3,FALSE
+333,Swablu,Normal,Flying,45,40,60,40,75,50,3,FALSE
+334,Altaria,Dragon,Flying,75,70,90,70,105,80,3,FALSE
+334,AltariaMega Altaria,Dragon,Fairy,75,110,110,110,105,80,3,FALSE
+335,Zangoose,Normal,,73,115,60,60,60,90,3,FALSE
+336,Seviper,Poison,,73,100,60,100,60,65,3,FALSE
+337,Lunatone,Rock,Psychic,70,55,65,95,85,70,3,FALSE
+338,Solrock,Rock,Psychic,70,95,85,55,65,70,3,FALSE
+339,Barboach,Water,Ground,50,48,43,46,41,60,3,FALSE
+340,Whiscash,Water,Ground,110,78,73,76,71,60,3,FALSE
+341,Corphish,Water,,43,80,65,50,35,35,3,FALSE
+342,Crawdaunt,Water,Dark,63,120,85,90,55,55,3,FALSE
+343,Baltoy,Ground,Psychic,40,40,55,40,70,55,3,FALSE
+344,Claydol,Ground,Psychic,60,70,105,70,120,75,3,FALSE
+345,Lileep,Rock,Grass,66,41,77,61,87,23,3,FALSE
+346,Cradily,Rock,Grass,86,81,97,81,107,43,3,FALSE
+347,Anorith,Rock,Bug,45,95,50,40,50,75,3,FALSE
+348,Armaldo,Rock,Bug,75,125,100,70,80,45,3,FALSE
+349,Feebas,Water,,20,15,20,10,55,80,3,FALSE
+350,Milotic,Water,,95,60,79,100,125,81,3,FALSE
+351,Castform,Normal,,70,70,70,70,70,70,3,FALSE
+352,Kecleon,Normal,,60,90,70,60,120,40,3,FALSE
+353,Shuppet,Ghost,,44,75,35,63,33,45,3,FALSE
+354,Banette,Ghost,,64,115,65,83,63,65,3,FALSE
+354,BanetteMega Banette,Ghost,,64,165,75,93,83,75,3,FALSE
+355,Duskull,Ghost,,20,40,90,30,90,25,3,FALSE
+356,Dusclops,Ghost,,40,70,130,60,130,25,3,FALSE
+357,Tropius,Grass,Flying,99,68,83,72,87,51,3,FALSE
+358,Chimecho,Psychic,,65,50,70,95,80,65,3,FALSE
+359,Absol,Dark,,65,130,60,75,60,75,3,FALSE
+359,AbsolMega Absol,Dark,,65,150,60,115,60,115,3,FALSE
+360,Wynaut,Psychic,,95,23,48,23,48,23,3,FALSE
+361,Snorunt,Ice,,50,50,50,50,50,50,3,FALSE
+362,Glalie,Ice,,80,80,80,80,80,80,3,FALSE
+362,GlalieMega Glalie,Ice,,80,120,80,120,80,100,3,FALSE
+363,Spheal,Ice,Water,70,40,50,55,50,25,3,FALSE
+364,Sealeo,Ice,Water,90,60,70,75,70,45,3,FALSE
+365,Walrein,Ice,Water,110,80,90,95,90,65,3,FALSE
+366,Clamperl,Water,,35,64,85,74,55,32,3,FALSE
+367,Huntail,Water,,55,104,105,94,75,52,3,FALSE
+368,Gorebyss,Water,,55,84,105,114,75,52,3,FALSE
+369,Relicanth,Water,Rock,100,90,130,45,65,55,3,FALSE
+370,Luvdisc,Water,,43,30,55,40,65,97,3,FALSE
+371,Bagon,Dragon,,45,75,60,40,30,50,3,FALSE
+372,Shelgon,Dragon,,65,95,100,60,50,50,3,FALSE
+373,Salamence,Dragon,Flying,95,135,80,110,80,100,3,FALSE
+373,SalamenceMega Salamence,Dragon,Flying,95,145,130,120,90,120,3,FALSE
+374,Beldum,Steel,Psychic,40,55,80,35,60,30,3,FALSE
+375,Metang,Steel,Psychic,60,75,100,55,80,50,3,FALSE
+376,Metagross,Steel,Psychic,80,135,130,95,90,70,3,FALSE
+376,MetagrossMega Metagross,Steel,Psychic,80,145,150,105,110,110,3,FALSE
+377,Regirock,Rock,,80,100,200,50,100,50,3,TRUE
+378,Regice,Ice,,80,50,100,100,200,50,3,TRUE
+379,Registeel,Steel,,80,75,150,75,150,50,3,TRUE
+380,Latias,Dragon,Psychic,80,80,90,110,130,110,3,TRUE
+380,LatiasMega Latias,Dragon,Psychic,80,100,120,140,150,110,3,TRUE
+381,Latios,Dragon,Psychic,80,90,80,130,110,110,3,TRUE
+381,LatiosMega Latios,Dragon,Psychic,80,130,100,160,120,110,3,TRUE
+382,Kyogre,Water,,100,100,90,150,140,90,3,TRUE
+382,KyogrePrimal Kyogre,Water,,100,150,90,180,160,90,3,TRUE
+383,Groudon,Ground,,100,150,140,100,90,90,3,TRUE
+383,GroudonPrimal Groudon,Ground,Fire,100,180,160,150,90,90,3,TRUE
+384,Rayquaza,Dragon,Flying,105,150,90,150,90,95,3,TRUE
+384,RayquazaMega Rayquaza,Dragon,Flying,105,180,100,180,100,115,3,TRUE
+385,Jirachi,Steel,Psychic,100,100,100,100,100,100,3,TRUE
+386,DeoxysNormal Forme,Psychic,,50,150,50,150,50,150,3,TRUE
+386,DeoxysAttack Forme,Psychic,,50,180,20,180,20,150,3,TRUE
+386,DeoxysDefense Forme,Psychic,,50,70,160,70,160,90,3,TRUE
+386,DeoxysSpeed Forme,Psychic,,50,95,90,95,90,180,3,TRUE
+387,Turtwig,Grass,,55,68,64,45,55,31,4,FALSE
+388,Grotle,Grass,,75,89,85,55,65,36,4,FALSE
+389,Torterra,Grass,Ground,95,109,105,75,85,56,4,FALSE
+390,Chimchar,Fire,,44,58,44,58,44,61,4,FALSE
+391,Monferno,Fire,Fighting,64,78,52,78,52,81,4,FALSE
+392,Infernape,Fire,Fighting,76,104,71,104,71,108,4,FALSE
+393,Piplup,Water,,53,51,53,61,56,40,4,FALSE
+394,Prinplup,Water,,64,66,68,81,76,50,4,FALSE
+395,Empoleon,Water,Steel,84,86,88,111,101,60,4,FALSE
+396,Starly,Normal,Flying,40,55,30,30,30,60,4,FALSE
+397,Staravia,Normal,Flying,55,75,50,40,40,80,4,FALSE
+398,Staraptor,Normal,Flying,85,120,70,50,60,100,4,FALSE
+399,Bidoof,Normal,,59,45,40,35,40,31,4,FALSE
+400,Bibarel,Normal,Water,79,85,60,55,60,71,4,FALSE
+401,Kricketot,Bug,,37,25,41,25,41,25,4,FALSE
+402,Kricketune,Bug,,77,85,51,55,51,65,4,FALSE
+403,Shinx,Electric,,45,65,34,40,34,45,4,FALSE
+404,Luxio,Electric,,60,85,49,60,49,60,4,FALSE
+405,Luxray,Electric,,80,120,79,95,79,70,4,FALSE
+406,Budew,Grass,Poison,40,30,35,50,70,55,4,FALSE
+407,Roserade,Grass,Poison,60,70,65,125,105,90,4,FALSE
+408,Cranidos,Rock,,67,125,40,30,30,58,4,FALSE
+409,Rampardos,Rock,,97,165,60,65,50,58,4,FALSE
+410,Shieldon,Rock,Steel,30,42,118,42,88,30,4,FALSE
+411,Bastiodon,Rock,Steel,60,52,168,47,138,30,4,FALSE
+412,Burmy,Bug,,40,29,45,29,45,36,4,FALSE
+413,WormadamPlant Cloak,Bug,Grass,60,59,85,79,105,36,4,FALSE
+413,WormadamSandy Cloak,Bug,Ground,60,79,105,59,85,36,4,FALSE
+413,WormadamTrash Cloak,Bug,Steel,60,69,95,69,95,36,4,FALSE
+414,Mothim,Bug,Flying,70,94,50,94,50,66,4,FALSE
+415,Combee,Bug,Flying,30,30,42,30,42,70,4,FALSE
+416,Vespiquen,Bug,Flying,70,80,102,80,102,40,4,FALSE
+417,Pachirisu,Electric,,60,45,70,45,90,95,4,FALSE
+418,Buizel,Water,,55,65,35,60,30,85,4,FALSE
+419,Floatzel,Water,,85,105,55,85,50,115,4,FALSE
+420,Cherubi,Grass,,45,35,45,62,53,35,4,FALSE
+421,Cherrim,Grass,,70,60,70,87,78,85,4,FALSE
+422,Shellos,Water,,76,48,48,57,62,34,4,FALSE
+423,Gastrodon,Water,Ground,111,83,68,92,82,39,4,FALSE
+424,Ambipom,Normal,,75,100,66,60,66,115,4,FALSE
+425,Drifloon,Ghost,Flying,90,50,34,60,44,70,4,FALSE
+426,Drifblim,Ghost,Flying,150,80,44,90,54,80,4,FALSE
+427,Buneary,Normal,,55,66,44,44,56,85,4,FALSE
+428,Lopunny,Normal,,65,76,84,54,96,105,4,FALSE
+428,LopunnyMega Lopunny,Normal,Fighting,65,136,94,54,96,135,4,FALSE
+429,Mismagius,Ghost,,60,60,60,105,105,105,4,FALSE
+430,Honchkrow,Dark,Flying,100,125,52,105,52,71,4,FALSE
+431,Glameow,Normal,,49,55,42,42,37,85,4,FALSE
+432,Purugly,Normal,,71,82,64,64,59,112,4,FALSE
+433,Chingling,Psychic,,45,30,50,65,50,45,4,FALSE
+434,Stunky,Poison,Dark,63,63,47,41,41,74,4,FALSE
+435,Skuntank,Poison,Dark,103,93,67,71,61,84,4,FALSE
+436,Bronzor,Steel,Psychic,57,24,86,24,86,23,4,FALSE
+437,Bronzong,Steel,Psychic,67,89,116,79,116,33,4,FALSE
+438,Bonsly,Rock,,50,80,95,10,45,10,4,FALSE
+439,Mime Jr.,Psychic,Fairy,20,25,45,70,90,60,4,FALSE
+440,Happiny,Normal,,100,5,5,15,65,30,4,FALSE
+441,Chatot,Normal,Flying,76,65,45,92,42,91,4,FALSE
+442,Spiritomb,Ghost,Dark,50,92,108,92,108,35,4,FALSE
+443,Gible,Dragon,Ground,58,70,45,40,45,42,4,FALSE
+444,Gabite,Dragon,Ground,68,90,65,50,55,82,4,FALSE
+445,Garchomp,Dragon,Ground,108,130,95,80,85,102,4,FALSE
+445,GarchompMega Garchomp,Dragon,Ground,108,170,115,120,95,92,4,FALSE
+446,Munchlax,Normal,,135,85,40,40,85,5,4,FALSE
+447,Riolu,Fighting,,40,70,40,35,40,60,4,FALSE
+448,Lucario,Fighting,Steel,70,110,70,115,70,90,4,FALSE
+448,LucarioMega Lucario,Fighting,Steel,70,145,88,140,70,112,4,FALSE
+449,Hippopotas,Ground,,68,72,78,38,42,32,4,FALSE
+450,Hippowdon,Ground,,108,112,118,68,72,47,4,FALSE
+451,Skorupi,Poison,Bug,40,50,90,30,55,65,4,FALSE
+452,Drapion,Poison,Dark,70,90,110,60,75,95,4,FALSE
+453,Croagunk,Poison,Fighting,48,61,40,61,40,50,4,FALSE
+454,Toxicroak,Poison,Fighting,83,106,65,86,65,85,4,FALSE
+455,Carnivine,Grass,,74,100,72,90,72,46,4,FALSE
+456,Finneon,Water,,49,49,56,49,61,66,4,FALSE
+457,Lumineon,Water,,69,69,76,69,86,91,4,FALSE
+458,Mantyke,Water,Flying,45,20,50,60,120,50,4,FALSE
+459,Snover,Grass,Ice,60,62,50,62,60,40,4,FALSE
+460,Abomasnow,Grass,Ice,90,92,75,92,85,60,4,FALSE
+460,AbomasnowMega Abomasnow,Grass,Ice,90,132,105,132,105,30,4,FALSE
+461,Weavile,Dark,Ice,70,120,65,45,85,125,4,FALSE
+462,Magnezone,Electric,Steel,70,70,115,130,90,60,4,FALSE
+463,Lickilicky,Normal,,110,85,95,80,95,50,4,FALSE
+464,Rhyperior,Ground,Rock,115,140,130,55,55,40,4,FALSE
+465,Tangrowth,Grass,,100,100,125,110,50,50,4,FALSE
+466,Electivire,Electric,,75,123,67,95,85,95,4,FALSE
+467,Magmortar,Fire,,75,95,67,125,95,83,4,FALSE
+468,Togekiss,Fairy,Flying,85,50,95,120,115,80,4,FALSE
+469,Yanmega,Bug,Flying,86,76,86,116,56,95,4,FALSE
+470,Leafeon,Grass,,65,110,130,60,65,95,4,FALSE
+471,Glaceon,Ice,,65,60,110,130,95,65,4,FALSE
+472,Gliscor,Ground,Flying,75,95,125,45,75,95,4,FALSE
+473,Mamoswine,Ice,Ground,110,130,80,70,60,80,4,FALSE
+474,Porygon-Z,Normal,,85,80,70,135,75,90,4,FALSE
+475,Gallade,Psychic,Fighting,68,125,65,65,115,80,4,FALSE
+475,GalladeMega Gallade,Psychic,Fighting,68,165,95,65,115,110,4,FALSE
+476,Probopass,Rock,Steel,60,55,145,75,150,40,4,FALSE
+477,Dusknoir,Ghost,,45,100,135,65,135,45,4,FALSE
+478,Froslass,Ice,Ghost,70,80,70,80,70,110,4,FALSE
+479,Rotom,Electric,Ghost,50,50,77,95,77,91,4,FALSE
+479,RotomHeat Rotom,Electric,Fire,50,65,107,105,107,86,4,FALSE
+479,RotomWash Rotom,Electric,Water,50,65,107,105,107,86,4,FALSE
+479,RotomFrost Rotom,Electric,Ice,50,65,107,105,107,86,4,FALSE
+479,RotomFan Rotom,Electric,Flying,50,65,107,105,107,86,4,FALSE
+479,RotomMow Rotom,Electric,Grass,50,65,107,105,107,86,4,FALSE
+480,Uxie,Psychic,,75,75,130,75,130,95,4,TRUE
+481,Mesprit,Psychic,,80,105,105,105,105,80,4,TRUE
+482,Azelf,Psychic,,75,125,70,125,70,115,4,TRUE
+483,Dialga,Steel,Dragon,100,120,120,150,100,90,4,TRUE
+484,Palkia,Water,Dragon,90,120,100,150,120,100,4,TRUE
+485,Heatran,Fire,Steel,91,90,106,130,106,77,4,TRUE
+486,Regigigas,Normal,,110,160,110,80,110,100,4,TRUE
+487,GiratinaAltered Forme,Ghost,Dragon,150,100,120,100,120,90,4,TRUE
+487,GiratinaOrigin Forme,Ghost,Dragon,150,120,100,120,100,90,4,TRUE
+488,Cresselia,Psychic,,120,70,120,75,130,85,4,FALSE
+489,Phione,Water,,80,80,80,80,80,80,4,FALSE
+490,Manaphy,Water,,100,100,100,100,100,100,4,FALSE
+491,Darkrai,Dark,,70,90,90,135,90,125,4,TRUE
+492,ShayminLand Forme,Grass,,100,100,100,100,100,100,4,TRUE
+492,ShayminSky Forme,Grass,Flying,100,103,75,120,75,127,4,TRUE
+493,Arceus,Normal,,120,120,120,120,120,120,4,TRUE
+494,Victini,Psychic,Fire,100,100,100,100,100,100,5,TRUE
+495,Snivy,Grass,,45,45,55,45,55,63,5,FALSE
+496,Servine,Grass,,60,60,75,60,75,83,5,FALSE
+497,Serperior,Grass,,75,75,95,75,95,113,5,FALSE
+498,Tepig,Fire,,65,63,45,45,45,45,5,FALSE
+499,Pignite,Fire,Fighting,90,93,55,70,55,55,5,FALSE
+500,Emboar,Fire,Fighting,110,123,65,100,65,65,5,FALSE
+501,Oshawott,Water,,55,55,45,63,45,45,5,FALSE
+502,Dewott,Water,,75,75,60,83,60,60,5,FALSE
+503,Samurott,Water,,95,100,85,108,70,70,5,FALSE
+504,Patrat,Normal,,45,55,39,35,39,42,5,FALSE
+505,Watchog,Normal,,60,85,69,60,69,77,5,FALSE
+506,Lillipup,Normal,,45,60,45,25,45,55,5,FALSE
+507,Herdier,Normal,,65,80,65,35,65,60,5,FALSE
+508,Stoutland,Normal,,85,110,90,45,90,80,5,FALSE
+509,Purrloin,Dark,,41,50,37,50,37,66,5,FALSE
+510,Liepard,Dark,,64,88,50,88,50,106,5,FALSE
+511,Pansage,Grass,,50,53,48,53,48,64,5,FALSE
+512,Simisage,Grass,,75,98,63,98,63,101,5,FALSE
+513,Pansear,Fire,,50,53,48,53,48,64,5,FALSE
+514,Simisear,Fire,,75,98,63,98,63,101,5,FALSE
+515,Panpour,Water,,50,53,48,53,48,64,5,FALSE
+516,Simipour,Water,,75,98,63,98,63,101,5,FALSE
+517,Munna,Psychic,,76,25,45,67,55,24,5,FALSE
+518,Musharna,Psychic,,116,55,85,107,95,29,5,FALSE
+519,Pidove,Normal,Flying,50,55,50,36,30,43,5,FALSE
+520,Tranquill,Normal,Flying,62,77,62,50,42,65,5,FALSE
+521,Unfezant,Normal,Flying,80,115,80,65,55,93,5,FALSE
+522,Blitzle,Electric,,45,60,32,50,32,76,5,FALSE
+523,Zebstrika,Electric,,75,100,63,80,63,116,5,FALSE
+524,Roggenrola,Rock,,55,75,85,25,25,15,5,FALSE
+525,Boldore,Rock,,70,105,105,50,40,20,5,FALSE
+526,Gigalith,Rock,,85,135,130,60,80,25,5,FALSE
+527,Woobat,Psychic,Flying,55,45,43,55,43,72,5,FALSE
+528,Swoobat,Psychic,Flying,67,57,55,77,55,114,5,FALSE
+529,Drilbur,Ground,,60,85,40,30,45,68,5,FALSE
+530,Excadrill,Ground,Steel,110,135,60,50,65,88,5,FALSE
+531,Audino,Normal,,103,60,86,60,86,50,5,FALSE
+531,AudinoMega Audino,Normal,Fairy,103,60,126,80,126,50,5,FALSE
+532,Timburr,Fighting,,75,80,55,25,35,35,5,FALSE
+533,Gurdurr,Fighting,,85,105,85,40,50,40,5,FALSE
+534,Conkeldurr,Fighting,,105,140,95,55,65,45,5,FALSE
+535,Tympole,Water,,50,50,40,50,40,64,5,FALSE
+536,Palpitoad,Water,Ground,75,65,55,65,55,69,5,FALSE
+537,Seismitoad,Water,Ground,105,95,75,85,75,74,5,FALSE
+538,Throh,Fighting,,120,100,85,30,85,45,5,FALSE
+539,Sawk,Fighting,,75,125,75,30,75,85,5,FALSE
+540,Sewaddle,Bug,Grass,45,53,70,40,60,42,5,FALSE
+541,Swadloon,Bug,Grass,55,63,90,50,80,42,5,FALSE
+542,Leavanny,Bug,Grass,75,103,80,70,80,92,5,FALSE
+543,Venipede,Bug,Poison,30,45,59,30,39,57,5,FALSE
+544,Whirlipede,Bug,Poison,40,55,99,40,79,47,5,FALSE
+545,Scolipede,Bug,Poison,60,100,89,55,69,112,5,FALSE
+546,Cottonee,Grass,Fairy,40,27,60,37,50,66,5,FALSE
+547,Whimsicott,Grass,Fairy,60,67,85,77,75,116,5,FALSE
+548,Petilil,Grass,,45,35,50,70,50,30,5,FALSE
+549,Lilligant,Grass,,70,60,75,110,75,90,5,FALSE
+550,Basculin,Water,,70,92,65,80,55,98,5,FALSE
+551,Sandile,Ground,Dark,50,72,35,35,35,65,5,FALSE
+552,Krokorok,Ground,Dark,60,82,45,45,45,74,5,FALSE
+553,Krookodile,Ground,Dark,95,117,80,65,70,92,5,FALSE
+554,Darumaka,Fire,,70,90,45,15,45,50,5,FALSE
+555,DarmanitanStandard Mode,Fire,,105,140,55,30,55,95,5,FALSE
+555,DarmanitanZen Mode,Fire,Psychic,105,30,105,140,105,55,5,FALSE
+556,Maractus,Grass,,75,86,67,106,67,60,5,FALSE
+557,Dwebble,Bug,Rock,50,65,85,35,35,55,5,FALSE
+558,Crustle,Bug,Rock,70,95,125,65,75,45,5,FALSE
+559,Scraggy,Dark,Fighting,50,75,70,35,70,48,5,FALSE
+560,Scrafty,Dark,Fighting,65,90,115,45,115,58,5,FALSE
+561,Sigilyph,Psychic,Flying,72,58,80,103,80,97,5,FALSE
+562,Yamask,Ghost,,38,30,85,55,65,30,5,FALSE
+563,Cofagrigus,Ghost,,58,50,145,95,105,30,5,FALSE
+564,Tirtouga,Water,Rock,54,78,103,53,45,22,5,FALSE
+565,Carracosta,Water,Rock,74,108,133,83,65,32,5,FALSE
+566,Archen,Rock,Flying,55,112,45,74,45,70,5,FALSE
+567,Archeops,Rock,Flying,75,140,65,112,65,110,5,FALSE
+568,Trubbish,Poison,,50,50,62,40,62,65,5,FALSE
+569,Garbodor,Poison,,80,95,82,60,82,75,5,FALSE
+570,Zorua,Dark,,40,65,40,80,40,65,5,FALSE
+571,Zoroark,Dark,,60,105,60,120,60,105,5,FALSE
+572,Minccino,Normal,,55,50,40,40,40,75,5,FALSE
+573,Cinccino,Normal,,75,95,60,65,60,115,5,FALSE
+574,Gothita,Psychic,,45,30,50,55,65,45,5,FALSE
+575,Gothorita,Psychic,,60,45,70,75,85,55,5,FALSE
+576,Gothitelle,Psychic,,70,55,95,95,110,65,5,FALSE
+577,Solosis,Psychic,,45,30,40,105,50,20,5,FALSE
+578,Duosion,Psychic,,65,40,50,125,60,30,5,FALSE
+579,Reuniclus,Psychic,,110,65,75,125,85,30,5,FALSE
+580,Ducklett,Water,Flying,62,44,50,44,50,55,5,FALSE
+581,Swanna,Water,Flying,75,87,63,87,63,98,5,FALSE
+582,Vanillite,Ice,,36,50,50,65,60,44,5,FALSE
+583,Vanillish,Ice,,51,65,65,80,75,59,5,FALSE
+584,Vanilluxe,Ice,,71,95,85,110,95,79,5,FALSE
+585,Deerling,Normal,Grass,60,60,50,40,50,75,5,FALSE
+586,Sawsbuck,Normal,Grass,80,100,70,60,70,95,5,FALSE
+587,Emolga,Electric,Flying,55,75,60,75,60,103,5,FALSE
+588,Karrablast,Bug,,50,75,45,40,45,60,5,FALSE
+589,Escavalier,Bug,Steel,70,135,105,60,105,20,5,FALSE
+590,Foongus,Grass,Poison,69,55,45,55,55,15,5,FALSE
+591,Amoonguss,Grass,Poison,114,85,70,85,80,30,5,FALSE
+592,Frillish,Water,Ghost,55,40,50,65,85,40,5,FALSE
+593,Jellicent,Water,Ghost,100,60,70,85,105,60,5,FALSE
+594,Alomomola,Water,,165,75,80,40,45,65,5,FALSE
+595,Joltik,Bug,Electric,50,47,50,57,50,65,5,FALSE
+596,Galvantula,Bug,Electric,70,77,60,97,60,108,5,FALSE
+597,Ferroseed,Grass,Steel,44,50,91,24,86,10,5,FALSE
+598,Ferrothorn,Grass,Steel,74,94,131,54,116,20,5,FALSE
+599,Klink,Steel,,40,55,70,45,60,30,5,FALSE
+600,Klang,Steel,,60,80,95,70,85,50,5,FALSE
+601,Klinklang,Steel,,60,100,115,70,85,90,5,FALSE
+602,Tynamo,Electric,,35,55,40,45,40,60,5,FALSE
+603,Eelektrik,Electric,,65,85,70,75,70,40,5,FALSE
+604,Eelektross,Electric,,85,115,80,105,80,50,5,FALSE
+605,Elgyem,Psychic,,55,55,55,85,55,30,5,FALSE
+606,Beheeyem,Psychic,,75,75,75,125,95,40,5,FALSE
+607,Litwick,Ghost,Fire,50,30,55,65,55,20,5,FALSE
+608,Lampent,Ghost,Fire,60,40,60,95,60,55,5,FALSE
+609,Chandelure,Ghost,Fire,60,55,90,145,90,80,5,FALSE
+610,Axew,Dragon,,46,87,60,30,40,57,5,FALSE
+611,Fraxure,Dragon,,66,117,70,40,50,67,5,FALSE
+612,Haxorus,Dragon,,76,147,90,60,70,97,5,FALSE
+613,Cubchoo,Ice,,55,70,40,60,40,40,5,FALSE
+614,Beartic,Ice,,95,110,80,70,80,50,5,FALSE
+615,Cryogonal,Ice,,70,50,30,95,135,105,5,FALSE
+616,Shelmet,Bug,,50,40,85,40,65,25,5,FALSE
+617,Accelgor,Bug,,80,70,40,100,60,145,5,FALSE
+618,Stunfisk,Ground,Electric,109,66,84,81,99,32,5,FALSE
+619,Mienfoo,Fighting,,45,85,50,55,50,65,5,FALSE
+620,Mienshao,Fighting,,65,125,60,95,60,105,5,FALSE
+621,Druddigon,Dragon,,77,120,90,60,90,48,5,FALSE
+622,Golett,Ground,Ghost,59,74,50,35,50,35,5,FALSE
+623,Golurk,Ground,Ghost,89,124,80,55,80,55,5,FALSE
+624,Pawniard,Dark,Steel,45,85,70,40,40,60,5,FALSE
+625,Bisharp,Dark,Steel,65,125,100,60,70,70,5,FALSE
+626,Bouffalant,Normal,,95,110,95,40,95,55,5,FALSE
+627,Rufflet,Normal,Flying,70,83,50,37,50,60,5,FALSE
+628,Braviary,Normal,Flying,100,123,75,57,75,80,5,FALSE
+629,Vullaby,Dark,Flying,70,55,75,45,65,60,5,FALSE
+630,Mandibuzz,Dark,Flying,110,65,105,55,95,80,5,FALSE
+631,Heatmor,Fire,,85,97,66,105,66,65,5,FALSE
+632,Durant,Bug,Steel,58,109,112,48,48,109,5,FALSE
+633,Deino,Dark,Dragon,52,65,50,45,50,38,5,FALSE
+634,Zweilous,Dark,Dragon,72,85,70,65,70,58,5,FALSE
+635,Hydreigon,Dark,Dragon,92,105,90,125,90,98,5,FALSE
+636,Larvesta,Bug,Fire,55,85,55,50,55,60,5,FALSE
+637,Volcarona,Bug,Fire,85,60,65,135,105,100,5,FALSE
+638,Cobalion,Steel,Fighting,91,90,129,90,72,108,5,TRUE
+639,Terrakion,Rock,Fighting,91,129,90,72,90,108,5,TRUE
+640,Virizion,Grass,Fighting,91,90,72,90,129,108,5,TRUE
+641,TornadusIncarnate Forme,Flying,,79,115,70,125,80,111,5,TRUE
+641,TornadusTherian Forme,Flying,,79,100,80,110,90,121,5,TRUE
+642,ThundurusIncarnate Forme,Electric,Flying,79,115,70,125,80,111,5,TRUE
+642,ThundurusTherian Forme,Electric,Flying,79,105,70,145,80,101,5,TRUE
+643,Reshiram,Dragon,Fire,100,120,100,150,120,90,5,TRUE
+644,Zekrom,Dragon,Electric,100,150,120,120,100,90,5,TRUE
+645,LandorusIncarnate Forme,Ground,Flying,89,125,90,115,80,101,5,TRUE
+645,LandorusTherian Forme,Ground,Flying,89,145,90,105,80,91,5,TRUE
+646,Kyurem,Dragon,Ice,125,130,90,130,90,95,5,TRUE
+646,KyuremBlack Kyurem,Dragon,Ice,125,170,100,120,90,95,5,TRUE
+646,KyuremWhite Kyurem,Dragon,Ice,125,120,90,170,100,95,5,TRUE
+647,KeldeoOrdinary Forme,Water,Fighting,91,72,90,129,90,108,5,FALSE
+647,KeldeoResolute Forme,Water,Fighting,91,72,90,129,90,108,5,FALSE
+648,MeloettaAria Forme,Normal,Psychic,100,77,77,128,128,90,5,FALSE
+648,MeloettaPirouette Forme,Normal,Fighting,100,128,90,77,77,128,5,FALSE
+649,Genesect,Bug,Steel,71,120,95,120,95,99,5,FALSE
+650,Chespin,Grass,,56,61,65,48,45,38,6,FALSE
+651,Quilladin,Grass,,61,78,95,56,58,57,6,FALSE
+652,Chesnaught,Grass,Fighting,88,107,122,74,75,64,6,FALSE
+653,Fennekin,Fire,,40,45,40,62,60,60,6,FALSE
+654,Braixen,Fire,,59,59,58,90,70,73,6,FALSE
+655,Delphox,Fire,Psychic,75,69,72,114,100,104,6,FALSE
+656,Froakie,Water,,41,56,40,62,44,71,6,FALSE
+657,Frogadier,Water,,54,63,52,83,56,97,6,FALSE
+658,Greninja,Water,Dark,72,95,67,103,71,122,6,FALSE
+659,Bunnelby,Normal,,38,36,38,32,36,57,6,FALSE
+660,Diggersby,Normal,Ground,85,56,77,50,77,78,6,FALSE
+661,Fletchling,Normal,Flying,45,50,43,40,38,62,6,FALSE
+662,Fletchinder,Fire,Flying,62,73,55,56,52,84,6,FALSE
+663,Talonflame,Fire,Flying,78,81,71,74,69,126,6,FALSE
+664,Scatterbug,Bug,,38,35,40,27,25,35,6,FALSE
+665,Spewpa,Bug,,45,22,60,27,30,29,6,FALSE
+666,Vivillon,Bug,Flying,80,52,50,90,50,89,6,FALSE
+667,Litleo,Fire,Normal,62,50,58,73,54,72,6,FALSE
+668,Pyroar,Fire,Normal,86,68,72,109,66,106,6,FALSE
+669,Flabébé,Fairy,,44,38,39,61,79,42,6,FALSE
+670,Floette,Fairy,,54,45,47,75,98,52,6,FALSE
+671,Florges,Fairy,,78,65,68,112,154,75,6,FALSE
+672,Skiddo,Grass,,66,65,48,62,57,52,6,FALSE
+673,Gogoat,Grass,,123,100,62,97,81,68,6,FALSE
+674,Pancham,Fighting,,67,82,62,46,48,43,6,FALSE
+675,Pangoro,Fighting,Dark,95,124,78,69,71,58,6,FALSE
+676,Furfrou,Normal,,75,80,60,65,90,102,6,FALSE
+677,Espurr,Psychic,,62,48,54,63,60,68,6,FALSE
+678,MeowsticMale,Psychic,,74,48,76,83,81,104,6,FALSE
+678,MeowsticFemale,Psychic,,74,48,76,83,81,104,6,FALSE
+679,Honedge,Steel,Ghost,45,80,100,35,37,28,6,FALSE
+680,Doublade,Steel,Ghost,59,110,150,45,49,35,6,FALSE
+681,AegislashBlade Forme,Steel,Ghost,60,150,50,150,50,60,6,FALSE
+681,AegislashShield Forme,Steel,Ghost,60,50,150,50,150,60,6,FALSE
+682,Spritzee,Fairy,,78,52,60,63,65,23,6,FALSE
+683,Aromatisse,Fairy,,101,72,72,99,89,29,6,FALSE
+684,Swirlix,Fairy,,62,48,66,59,57,49,6,FALSE
+685,Slurpuff,Fairy,,82,80,86,85,75,72,6,FALSE
+686,Inkay,Dark,Psychic,53,54,53,37,46,45,6,FALSE
+687,Malamar,Dark,Psychic,86,92,88,68,75,73,6,FALSE
+688,Binacle,Rock,Water,42,52,67,39,56,50,6,FALSE
+689,Barbaracle,Rock,Water,72,105,115,54,86,68,6,FALSE
+690,Skrelp,Poison,Water,50,60,60,60,60,30,6,FALSE
+691,Dragalge,Poison,Dragon,65,75,90,97,123,44,6,FALSE
+692,Clauncher,Water,,50,53,62,58,63,44,6,FALSE
+693,Clawitzer,Water,,71,73,88,120,89,59,6,FALSE
+694,Helioptile,Electric,Normal,44,38,33,61,43,70,6,FALSE
+695,Heliolisk,Electric,Normal,62,55,52,109,94,109,6,FALSE
+696,Tyrunt,Rock,Dragon,58,89,77,45,45,48,6,FALSE
+697,Tyrantrum,Rock,Dragon,82,121,119,69,59,71,6,FALSE
+698,Amaura,Rock,Ice,77,59,50,67,63,46,6,FALSE
+699,Aurorus,Rock,Ice,123,77,72,99,92,58,6,FALSE
+700,Sylveon,Fairy,,95,65,65,110,130,60,6,FALSE
+701,Hawlucha,Fighting,Flying,78,92,75,74,63,118,6,FALSE
+702,Dedenne,Electric,Fairy,67,58,57,81,67,101,6,FALSE
+703,Carbink,Rock,Fairy,50,50,150,50,150,50,6,FALSE
+704,Goomy,Dragon,,45,50,35,55,75,40,6,FALSE
+705,Sliggoo,Dragon,,68,75,53,83,113,60,6,FALSE
+706,Goodra,Dragon,,90,100,70,110,150,80,6,FALSE
+707,Klefki,Steel,Fairy,57,80,91,80,87,75,6,FALSE
+708,Phantump,Ghost,Grass,43,70,48,50,60,38,6,FALSE
+709,Trevenant,Ghost,Grass,85,110,76,65,82,56,6,FALSE
+710,PumpkabooAverage Size,Ghost,Grass,49,66,70,44,55,51,6,FALSE
+710,PumpkabooSmall Size,Ghost,Grass,44,66,70,44,55,56,6,FALSE
+710,PumpkabooLarge Size,Ghost,Grass,54,66,70,44,55,46,6,FALSE
+710,PumpkabooSuper Size,Ghost,Grass,59,66,70,44,55,41,6,FALSE
+711,GourgeistAverage Size,Ghost,Grass,65,90,122,58,75,84,6,FALSE
+711,GourgeistSmall Size,Ghost,Grass,55,85,122,58,75,99,6,FALSE
+711,GourgeistLarge Size,Ghost,Grass,75,95,122,58,75,69,6,FALSE
+711,GourgeistSuper Size,Ghost,Grass,85,100,122,58,75,54,6,FALSE
+712,Bergmite,Ice,,55,69,85,32,35,28,6,FALSE
+713,Avalugg,Ice,,95,117,184,44,46,28,6,FALSE
+714,Noibat,Flying,Dragon,40,30,35,45,40,55,6,FALSE
+715,Noivern,Flying,Dragon,85,70,80,97,80,123,6,FALSE
+716,Xerneas,Fairy,,126,131,95,131,98,99,6,TRUE
+717,Yveltal,Dark,Flying,126,131,95,131,98,99,6,TRUE
+718,Zygarde50% Forme,Dragon,Ground,108,100,121,81,95,95,6,TRUE
+719,Diancie,Rock,Fairy,50,100,150,100,150,50,6,TRUE
+719,DiancieMega Diancie,Rock,Fairy,50,160,110,160,110,110,6,TRUE
+720,HoopaHoopa Confined,Psychic,Ghost,80,110,60,150,130,70,6,TRUE
+720,HoopaHoopa Unbound,Psychic,Dark,80,160,60,170,130,80,6,TRUE
+721,Volcanion,Fire,Water,80,110,120,130,90,70,6,TRUE
diff --git a/PROFESORES/PYTHON/EJERCICIOS_EVALUABLES.md b/PROFESORES/PYTHON/EJERCICIOS_EVALUABLES.md
new file mode 100644
index 000000000..cbb3ab832
--- /dev/null
+++ b/PROFESORES/PYTHON/EJERCICIOS_EVALUABLES.md
@@ -0,0 +1,189 @@
+# Ejercicios Evaluables - Curso Python - EDEM_MDA2324
+
+En este archivo Markdown encontraréis los distintos ejercicios que tendréis que realizar tras cada una de las sesiones del curso de Python.
+
+Estos ejercicios serán evaluables y contarán para las notas finales que recibáis por mi parte.
+
+Los ejercicios estarán basados en aquello que hayamos visto durante las clases y podré ayudaros en caso de necesitarlo ;)
+
+## Modo de entrega
+
+Aprovechando que conocéis GIT, la idea es que entreguéis los distintos ejercicios a través de GIT.
+
+Es decir, en la carpeta del repositorio donde tengáis vuestro usuario, deberéis subir la solución del ejercicioo en cuestión y después realizar una Pull Request cuando esté presentable para que pueda revisarla.
+
+El nombre de las carpetas y ejercicios deben dejar claro la sesión y el número de ejercicio. Por ejemplo:
+
+```
+├── Curso de Python
+    ├── Sesión 1
+        ├── Ejercicio 1
+        |   ├── Archivo(s).py
+        ├── Ejercicio 2
+        |   ├── Archivo(s).py
+        └── Ejercicio 3
+        |   ├── Archivo(s).py
+        ├── Etc.
+```
+
+En caso de que tengas problemas con los pasos a seguir, no dudes en ponerte en decírmelo para echarte un cable.
+
+# Sesión 1
+
+## Ejercicio 1
+1. Crea un archivo Python que muestre por consola "¡Hola, Mundo!"
+
+## Ejercicio 2
+2. Ahora modifícalo para que muestre "¡Hola, [Nombre]" donde el nombre es el valor (str) de una variable
+
+
+
+# Sesión 2
+
+## Ejercicio
+1. Crea una aplicación de consola que calcule los resultados de una inversión. Debe
+	1. Pedir por consola una cantidad (numérica) de Inversión
+	2. Pedir el % de interés anual
+	3. Pedir el número de años que se va a mantener la inversión
+	4. Finalmente, calcular la cantidad generada en los años especificados por el usuario
+
+Debería resultar en algo así vía consola:
+
+## Paso 1
+
+```bash
+> Hola. Bienvenido al sistema de cálculo de inversiones.
+> ¿Cuánto quieres invertir?
+> (EL usuario escribe aquí la cantidad)
+```
+
+## Paso 2
+
+```bash
+> ¿Cuál es el interés anual?
+> (EL usuario escribe aquí el interés anual)
+```
+
+## Paso 3
+
+```bash
+> ¿Cuántos años vas a mantener la inversión?
+> (EL usuario escribe aquí el nº de años)
+```
+
+## Paso 4 - Final
+
+```bash
+> En [N] años habrás recibido [X]€ de interés
+> (Donde [N] debes sustituirlo por el número de años y [X] por la cantidad generada)
+```
+
+# Sesión 3
+
+## Ejercicio 1
+1. A la aplicación de la calculadora de inversión, deberás añadirle una opción para salir de la consola.
+
+Debería quedar algo parecido a lo siguiente
+
+```bash
+> Hola. Bienvenido al sistema de cálculo de inversiones. ¿Qué quieres hacer?
+> [1] Calcular una inversión
+> [X] Salir
+> (Aquí el usuario deberá escribir 1 o X. Ningón otro valor será considerado como válido. Saliendo el mismo mensaje si introduce algo distinto a 1 o X)
+```
+
+En caso de escribir 1 --> **Se** deberá proceder al sistema de Cálculo de inversión. En todas las pantallas posteriores, se debe mostrar la opción de [X] Salir
+
+```bash
+> En [N] años habrás recibido [X]€ de interés. ¿Qué quieres hacer ahora?
+> [1] Calcular una nueva inversión
+> [X] Salir
+```
+
+En caso de escribir **X** --> La aplicación debe mostrar un mensaje de despedida y cerrarse:
+
+```bash
+> ¡Nos vemos!
+> (aplicación cerrada con un exit())
+```
+
+## Ejercicio 2
+2. Crea un programa en Python que sea capaz de calcular y mostrar por consola todos los números primos de [1 - 100](https://es.wikipedia.org/wiki/N%C3%BAmero_primo)
+
+## Ejercicio 3
+3. Crea un programa en Python que sea capaz de identificar a partir de una lista de años si un año es bisiesto o no. 
+
+
+# Sesión 4
+
+## Ejercicio 1
+1. A partir de las respuestas a los dos últimos ejercicios de la Sesión 3:
+	1. Crea una función que reciba un rango de números como parámetro y muestre por consola únicamente los valores primos
+	2. Crea una función que pueda evaluar si un número  (pasado por parámetro) es primo o no
+	3. Crea una función que reciba un año y pueda indicarte con True o False si es un año bisiesto o no.
+
+## Ejercicio 2
+2. Crea un proyecto Plantilla de Python que disponga de un archivo requirements.txt y un .venv que pueda ser ejecutado desde Visual Studio Code
+
+## Ejercicio 3
+3. Realiza una petición HTTPs a la ruta https://randomuser.me/api y muestra por consola el nombre y los apellidos retornados por la API
+
+
+# Sesión 5
+
+## Ejercicio 1
+1. Lee el archivo CSV con Pandas de 'pokemon_data.csv' alojado en la carpeta de datos de este repositorio y realizar las siguientes operaciones
+- IMPRIMIR TODOS LOS VALORES
+- IMPRIMIR LOS PRIMEROS 5
+- IMPRIMIR LOS ÚLTIMOS 5
+- OBTENER NOMBRES DE LAS COLUMNAS
+- OBTENER TODOS LOS NOMBRES
+- OBTENER TODOS LOS NOMBRES Y VELOCIDADES
+- LOS PRIMEROS 5 NOMBRES USANDO [::]
+- OBTENER TODAS LAS FILAS
+- OBTENER UN RANGO DE FILAS
+- OBTENER EL NOMBRE DE LA FILA 10
+- ITERAR POR TODOS Y MOSTRAR EL ÍNDICE Y NOMBRE DE CADA FILA
+- POKEMONS DE TIPO 1 == WATER
+- ESTADÍSTICAS (usando Describe del DafaFrame)
+- ORDENACIÓN POR NOMBRE ASCENDENTE
+- CREAR UNA COLUMNA EXTRA CALCULADA
+    - La columna debe ser la suma de HP + ATAQUE + DEFENSA + VELOCIDAD
+    - La columna debe llamarse TOTAL
+- ELIMINAR LA COLUMNA TOTAL
+- FILTRAR POKEMONS DE TIPOS "GRASS" Y "POISON"
+- FILTRAR POKEMONS DE TIPO "FIRE" Ó "POISON
+- FILTRAR POKEMONS DE TIPO "GRASS" Y "POISON" Y UN HP >= 70
+- FILTRAR POKEMONS CON NOMBRE "MEGA"
+- FILTRAR POKEMONS SIN NOMBRE "MEGA"
+- FILTRAR POKEMONS CUYOS NOMBRES COMIENCEN CON "PI"
+- RENOMBRADO DE COLUMNA "FIRE" a "FLAME"
+- RENOMBRAR DE NUEVO A "FIRE" LA COLUMNA "FLAME" RECIÉN CAMBIADA
+- CAMBIAR A TODOS LOS POKEMON LEGENDARIOS A TIPO "FIRE"
+- (Agrupación - groupBy) ESTADÍSTICAS DE MEDIA POR TIPO DE POKEMON y ORDENADOS POR DEFENSA
+- (Agrupación - groupBy) ESTADÍSTICAS DE MEDIA POR TIPO DE POKEMON y ORDENADOS POR ATAQUE
+- (Agrupación - groupBy) ESTADÍSTICAS DE MEDIA POR TIPO DE POKEMON y ORDENADOS POR HP
+- (Agrupación - groupBy) ESTADÍSTICAS DE SUMA POR TIPO DE POKEMON
+- (Agrupación - groupBy) ESTADÍSTICAS DE NÚMERO DE POKEMONS POR TIPO 1DE POKEMON
+- (Agrupación - groupBy) ESTADÍSTICAS DE NÚMERO DE POKEMONS POR TIPO 1 y 2 DE POKEMON
+    
+    
+Nota: 
+SI TENEMOS ARCHIVOS ENORMES (1TB) PODEMOS LEERLOS POR PARTES 
+Cada fila podría estar acumulando cerca de 20 bytes, por lo que podríamos estar trabajando con cantidades enormes
+
+- LEE EL ARCHIVO CVS SEPARÁNDOLO POR CHUNKS Y CON UN TAMAÑO DE  (chunksize=5)
+- ITERA POR LOS CHUNKS Y MUÉSTRALOS POR CONSOLA
+
+## Ejercicio 2
+2. Crea una clase Automóvil que disponga de los atributos necesarios y métodos para:
+	1. Arrancar
+	2. Acelerar
+	3. Frenar
+	4. Parar
+
+## Ejercicio 3
+3. Crea clases de automóvil distintas como y que dispongan de distintos atributos, pero hereden los métodos de Automóvil a la hora de Arrancar, Acelerar, Frenar o Parar, salvo que algunos deben tener más potencia que otros:
+	1. Coche
+	2. Moto
+	3. Camión
diff --git a/PROFESORES/PYTHON/Ejemplo IA Chat GPT/ejemplo_chatgpt.py b/PROFESORES/PYTHON/Ejemplo IA Chat GPT/ejemplo_chatgpt.py
new file mode 100644
index 000000000..7e397961b
--- /dev/null
+++ b/PROFESORES/PYTHON/Ejemplo IA Chat GPT/ejemplo_chatgpt.py	
@@ -0,0 +1,23 @@
+import os
+import openai
+
+# Configuramos la API KEY de OPEN AI 
+openai.api_key = '' # 'TODO: AQUÍ TIENES QUE PONER TU API KEY DE CHATGPT'
+
+prompt = input('Redacta con detalle el resultado que quieres: ')
+file_name = input('Indica el nombre del archivo donde se va a guardar: ')
+file_extension = input('Indica la extensión del archivo: .')
+
+# realizamos petición a Open AI
+response = openai.Completion.create(
+  model="text-davinci-003",
+  prompt= prompt,
+  temperature=0.7,
+  max_tokens=900,
+  top_p=1,
+  frequency_penalty=0,
+  presence_penalty=0
+)
+
+with open(f'{file_name}.{file_extension}', 'w') as file:
+  file.write(response["choices"][0]["text"])
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Ejemplo IA Chat GPT/requirements.txt b/PROFESORES/PYTHON/Ejemplo IA Chat GPT/requirements.txt
new file mode 100644
index 000000000..f0dd0aec5
--- /dev/null
+++ b/PROFESORES/PYTHON/Ejemplo IA Chat GPT/requirements.txt	
@@ -0,0 +1 @@
+openai
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Ejemplos POO/models/empleado.py b/PROFESORES/PYTHON/Ejemplos POO/models/empleado.py
new file mode 100644
index 000000000..7d9c163e8
--- /dev/null
+++ b/PROFESORES/PYTHON/Ejemplos POO/models/empleado.py	
@@ -0,0 +1,22 @@
+from persona import Persona
+
+class Empleado(Persona):
+  puesto:str
+  pHora:float
+  hTrabajadas: int = 0
+  cobro: float = 0.0
+
+  def __init__(self, nombre, apellidos, edad, puesto, pHora):
+    # Llamamos al constructor del padre (Persona)
+    super(Empleado, self).__init__(nombre, apellidos, edad)
+    # Inicializar los atributos propios de Empleado
+    self.puesto = puesto
+    self.pHora = pHora
+  
+  def trabajar(self, horas:int):
+    self.hTrabajadas += horas
+    print(f'{self.nombre} ha trabajado {horas} horas. En total lleva trabajadas: {self.hTrabajadas} horas')
+  
+  def cobrar(self):
+    self.cobro = self.pHora*self.hTrabajadas
+    print(f'{self.nombre} cobra: {self.cobro}€')
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Ejemplos POO/models/persona.py b/PROFESORES/PYTHON/Ejemplos POO/models/persona.py
new file mode 100644
index 000000000..b2ecee0f3
--- /dev/null
+++ b/PROFESORES/PYTHON/Ejemplos POO/models/persona.py	
@@ -0,0 +1,12 @@
+class Persona:
+  nombre:str
+  apellidos:str
+  edad: int
+
+  def __init__(self,nombre, apellidos, edad):
+    self.nombre = nombre
+    self.apellidos = apellidos
+    self.edad = edad
+
+  def saludar(self):
+    print(f'Hola, me llamo {self.nombre} {self.apellidos} y tengo {self.edad} años')
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/PROYECTO_FINAL.md b/PROFESORES/PYTHON/PROYECTO_FINAL.md
new file mode 100644
index 000000000..b7cdfe023
--- /dev/null
+++ b/PROFESORES/PYTHON/PROYECTO_FINAL.md
@@ -0,0 +1,38 @@
+# Proyecto Final - Curso Python - EDEM_MDA2324
+
+
+Una empresa de formación quiere gestionar su cartera de alumnos. 
+
+Escribe un programa que guarde una lista de alumnos. Cada Alumno dispone de los siguientes campos:
+
+- NIF (string)
+- Nombre (string)
+- Apellidos (string)
+- Teléfono (string)
+- Email (string)
+- Aprobado (boolean)
+
+El programa debe mostrar las siguientes opciones por consola para que escoja el usuario:
+
+(1) Añadir un alumno --> Esto activará una serie de preguntas para completar el nuevo alumno
+
+(2) Eliminar alumno por NIF
+
+(3) Actualizar datos de un alumno por NIF
+
+(4) Mostrar datos de un alumno por NIF
+
+(5) Mostrar datos de un alumno por Email
+
+(6) Listar TODOS os alumnos
+
+(7) Aprobar Alumno por NIF
+
+(8) Suspender Alumno por NIF
+
+(9) Mostrar alumnos aprobados
+
+(10) Mostrar alumnos suspensos
+
+(X) Finalizar Programa --> Únicamente se cierra el programa si el usuario pulsa la X
+
diff --git a/PROFESORES/PYTHON/README.md b/PROFESORES/PYTHON/README.md
new file mode 100644
index 000000000..6f8d64d6e
--- /dev/null
+++ b/PROFESORES/PYTHON/README.md
@@ -0,0 +1,28 @@
+# EDEM_MDA2324 - Curso de Python
+
+## Algo sobre mi - Martín San José de Vicente
+
+Mi nombre es **Martín San José de Vicente** y actualmente soy CTO en **[Imagina Formación](https://imaginaformacion.com)**, empresa dedicada a la formación de equipos de profesionales de empresas en todo tipo de lenguajes de programación, frameworks, herramientas y metodologías de trabajo en proyectos tecnológicos.
+
+### Mis credenciales
+Hace más años de lo que me gustaría admitir, estudié el *Doble Grado en Ingeniería Informática y Administración y Dirección de Empresas* en la Universidad Carlos III de Madrid. Desde antes de terminar la carrera ya me fascinaba compartir mis conocimientos a través de una asociación de formación gartuita que monté con uno de mis compañeros de clase, donde enseñábamos a programar (lenguajes como Javascript o Python, además de crear aplicaciones web y móviles - Android e iOS) a perfiles de otras carreras universitarias para aproximarles un poco a este mundo que es tan interesante e importante a día de hoy.
+
+Al mismo tiempo que estudiaba estuve trabajando en distintos proyectos de SW para proyectos de Vodafone. Una vez acabada la carrera, entré como desarrollador fullstack en proyectos de las empresas: Banco Santander, Telefónica y Bricor, entre otras.
+
+Desde hace ya más de 5 años, vengo impartiendo formaciones a empresas desde IMAGINA y en los últimos años aquí en EDEM y, sinceramente, me encanta este trabajo. Poder transmitir mis conocimientos y experiencias profesionales a otros compañeros de profesión que podrán ponerlos en práctica en sus puestos de trabajo es una motivación para mi.
+
+
+### Mi objetivo durante este curso con vosotros
+Durante este curso de Python, mi objetivo principal va a ser que conozcáis los fundamentos de uno de los lenguajes de programación modernos más demandados en la actualidad y acercaros un poco más a esta herramienta que os va a servir de tanto, tanto durante el Master Data de Edem como en vuestro futuro profesional una vez lo hayáis acabado, estoy seguro, con éxito.
+
+Si quieres agregarme en **[LinkedIn](https://www.linkedin.com/in/mart%C3%ADn-san-jos%C3%A9-de-vicente-316b9a88/)**, estaré encantado de aceptarte como contacto.
+
+## Enlaces de Interés y Web del Curso
+
+Para facilitar el seguimiento del curso he preparado una pequeña "web" en la que iré documentando los avances que vayamos realizando, además de ubicar ejercicios, enlaces de interés y manuales que pueda ayudaros durante el curso y tras el mismo. 
+
+Mi intención es que uséis este enlace como una herramienta más durante el curso para aprender y como un blog resumen del curso para que una vez finalizada la última sesión, no se olvide nada de lo que hemos realizado.
+
+Sentíos libres de entrar y comentarme cualquier aspecto del mismo o mejora que se os ocurra que pueda realizar y os ayude durante este Máster.
+
+¡Aquí la tenéis! **[Web para el curso](https://master-data-2023.vercel.app/)**
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto10.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto10.py"
new file mode 100644
index 000000000..d5ca81a6c
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto10.py"	
@@ -0,0 +1,28 @@
+'''
+    ---------- RETO 10 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que guarde en una variable el siguiente contenido:
+{'titulo':'El Más Allá','aka':'E tu vivrai nel terrore - Laldilà','director':'Lucio Fulci', 'año':1981, 'país':'Italia'}
+'''
+
+def reto10Basico():
+  pelicula: dict = dict({
+    'título': 'El Más Allá',
+    'aka': 'E tu vivrai nel terrore - L\'aldilà',
+    'director': 'Lucio Fulci',
+    'año': 1981,
+    'país': 'Italia'
+  })
+
+  print(f"- Nombre de la película {pelicula.get('título')}")
+  print(f"- AKA de la película {pelicula.get('aka')}")
+  print(f"- Director de la película {pelicula.get('director')}")
+  print(f"- Año de la película {pelicula.get('año')}")
+  print(f"- País de la película {pelicula.get('país')}")
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto11.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto11.py"
new file mode 100644
index 000000000..dfbf1b046
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto11.py"	
@@ -0,0 +1,26 @@
+'''
+    ---------- RETO 11 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que pida al usuario los siguientes datos por consola:
+Título de la películaDirectorAñoPaísE introduzca esos valores en una variable GLOBAL llamada "pelicula".
+'''
+
+global pelicula
+
+def reto11Basico():
+  pelicula: dict = dict()
+
+  pelicula['Titulo'] = input('Introduzca el TÍTULO de la película: ')
+  pelicula['Director'] = input('Introduzca el DIRECTOR de la película: ')
+  pelicula['Año'] = int(input('Introduzca el AÑO de la película: '))
+  pelicula['País'] = input('Introduzca el PAÍS de la película: ')
+
+
+  print(pelicula)
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto12.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto12.py"
new file mode 100644
index 000000000..86efd4849
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto12.py"	
@@ -0,0 +1,24 @@
+'''
+    ---------- RETO 12 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que almacene en una lista (Array) todos los nombres de los alumnos del curso y los muestre en por pantalla.
+'''
+
+def reto12Basico():
+  lista_alumnos: [str] = ['Julia', 'Hugo', 'Miguel', 
+                        'Victor', 'Juan', 'Aberto', 
+                        'María', 'Andreu', 'Borja',
+                        'Claudio', 'Elisa', 'Diego',
+                        'Enrique', 'Estela', 'Francisco',
+                        'Irene', 'Isabel', 'Javier', 'Luis', 'Marta']
+
+  print('*** ALUMNOS ***')
+  for alumno in lista_alumnos:
+      print(f"- {alumno}")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto13.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto13.py"
new file mode 100644
index 000000000..586888567
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto13.py"	
@@ -0,0 +1,25 @@
+'''
+    ---------- RETO 13 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe una función que calcule el área de un triángulo, recibiendo la altura y la base como parámetros y otra función que calcule el área de un círculo recibiendo el radio del mismo
+'''
+
+import math
+
+def area_triangulo(altura: float, base: float) -> float:
+    return ((altura*base)/2)
+
+def area_circulo(radio: float) -> float:
+    return (math.pi*(radio**2))
+
+
+def reto13Basico():
+  print(f"Área de triangulo: {area_triangulo(2,2)}")
+  print(f"Área del círculo: {area_circulo(4)}")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto14.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto14.py"
new file mode 100644
index 000000000..3eb670aae
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto14.py"	
@@ -0,0 +1,24 @@
+'''
+    ---------- RETO 14 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe una función que use la función del área del círculo para devolver el volumen de un cilindro, 
+obteniendo por parámetro la longitud del mismo.
+'''
+
+import math
+
+def area_circulo(radio: float) -> float:
+    return (math.pi*(radio**2))
+
+def volumen_cilindro(radio:float, longitud: float) -> float:
+    return area_circulo(radio)*longitud
+
+def reto14Basico():
+  print(f"El volumen del cilindro es: {volumen_cilindro(2, 3)}")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto15.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto15.py"
new file mode 100644
index 000000000..17121db61
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto15.py"	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 15 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe una función que reciba una muestra de números en una lista y devuelva otra lista con sus cuadrados.
+'''
+
+def doble (lista:[int]) -> [int]:
+    for i, numero in enumerate(lista):
+        lista[i] *=2
+
+def reto15Basico():
+  miLista = [10,50,100]
+  # Lo pasaremos por referencia
+  doble(miLista)
+  print(f"Lista Original Modificada: {miLista}") #[20, 100, 200]
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto16.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto16.py"
new file mode 100644
index 000000000..f8e6c0d65
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto16.py"	
@@ -0,0 +1,20 @@
+'''
+    ---------- RETO 16 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Crea un script que sea capaz de restar dos fechas y muestra el resultado por consola
+'''
+
+from datetime import date
+
+def reto16Basico():
+  fechaA = date(2000,2,28)
+  fechaB = date(2001,2,28)
+
+  print(fechaB-fechaA)
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto17.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto17.py"
new file mode 100644
index 000000000..926c927b6
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto17.py"	
@@ -0,0 +1,63 @@
+'''
+    ---------- RETO 17 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Partiendo de la siguiente tupla:
+tupla = (2, 4, 3, 5, 4, 6, 7, 8, 6, 1)
+Realiza las siguientes operaciones:
+
+- Encontrar los elementos de 3 a 5
+- Encontrar los 6 primeros elementos
+- Muestra la tupla desde el 5 elemento hasta el final
+- Muestra toda la tupla haciendo uso de [:]
+- Muestra todos los elementos desde la posición 2 a la 9 de dos en dos
+- Devuelve la tupla con un salto cada 4 elementos
+- Usa un step negativo para mostrar la tupla desde la posición 9 a la 2
+'''
+
+def reto17Basico():
+  tupla = (2, 4, 3, 5, 4, 6, 7, 8, 6, 1)
+
+  # Elementos 3 a 5
+  # tupla [start:stop]
+  _slice = tupla[3:5]
+  print('1-', _slice)
+
+  # Primeros 6 elementos
+  # Si no se define un start, se toma desde el principio
+  _slice = tupla[:6]
+  print('2-',_slice)
+
+  # Desde 5 Hasta el final
+  _slice = tupla[5:]
+  print('3-',_slice)
+
+  # Toda la Tupla
+  _slice = tupla[:]
+  print('4-',_slice)
+
+  # Los índices se pueden definir con valores negativos
+  _slice = tupla[-8:-4]
+  print('5-',_slice)
+
+  # Reformulando la tupla
+  tupla = tuple("HELLO WORLD")
+  print('6-',tupla)
+
+  # tupla[start:stop:step]
+  _slice = tupla[2:9:2]
+  print('7-',_slice)
+
+  # Devuelve una tupla con un salto cada 4 elementos
+  _slice = tupla[::4]
+  print('8-',_slice)
+
+  # Cuando tenemos el Step negativo, va desde atrás
+  _slice = tupla[9:2:-4]
+  print('9-',_slice)
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto18.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto18.py"
new file mode 100644
index 000000000..eedd91686
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto18.py"	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 18 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Crea una función que sea capaz de eliminar un caracter concreto de una cadena de texto.
+'''
+
+def eliminar(str, n):
+    inicio = str[:n] 
+    final = str[n+1:]
+    return inicio + final
+
+def reto18Basico():
+  print(eliminar('Madrid', 0)) #adrid
+  print(eliminar('Madrid', 3)) #Madid
+  print(eliminar('Madrid', 5)) #Madri
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto2.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto2.py"
new file mode 100644
index 000000000..b51b7b219
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto2.py"	
@@ -0,0 +1,28 @@
+'''
+    ---------- RETO 2 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa capaz de mostrar todos los números impares desde un número de inicio y otro final.
+Por ejemplo: teniendo numero_inicial = 2 y numero_final = 8, el programa debe imprimir por consola: [3, 5, 7]
+'''
+
+def reto2Basico():
+  numero_inicial: int = int(input('Introduce un número: '))
+  numero_final: int = int(input('Inroduce otro número: '))
+  numeros_impares: [int] = []
+
+  while numero_final <= numero_inicial:
+      numero_final: int = int(input('El segundo número debe ser mayor que el primero. Inroduce otro número: '))
+
+  for i in range(numero_inicial, numero_final+1):
+      if(i % 2 != 0):
+          numeros_impares.append(i)
+
+  print(f"Lista de Números impares entre {numero_inicial} y {numero_final}:")
+  print(numeros_impares)
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto3.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto3.py"
new file mode 100644
index 000000000..62bf31708
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto3.py"	
@@ -0,0 +1,18 @@
+'''
+    ---------- RETO 3 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que sea capaz de mostrar los números del 1 al 100 en orden inverso.
+'''
+
+def reto3Basico():
+  rango_1_100 = range(1,101)
+
+  for i in reversed(rango_1_100):
+      print(f"- {i}")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto4.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto4.py"
new file mode 100644
index 000000000..029dd0fc9
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto4.py"	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 4 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que sea capaz de mostrar los elementos de una lista en orden inverso al original.
+Por ejemplo: teniendo [1,2,3,4,5] el programa debe mostrar por pantalla [5,4,3,2,1]
+'''
+
+def reto4Basico():
+  lista: [int] = [1,2,3,4,5]
+  lista_inversa: [int] = reversed(lista)
+
+  print(lista_inversa)
+
+  for i in lista_inversa:
+      print(f"- {i}")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto5.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto5.py"
new file mode 100644
index 000000000..6e8d1d8ef
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto5.py"	
@@ -0,0 +1,29 @@
+'''
+    ---------- RETO 5 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que sea capaz de pedirle a un usuario por consola** que introduzca una contraseña y mientras que ésta no sea "admin", el programa seguirá pidiéndola.
+
+Si la contraseña es errónea, deberá sacarle un mensaje de error y volver a pedirle la contraseña hasta que la introduzca bien. Si el usuario introduce "admin" correctamente, el programa le deberá mostrar un mensaje "Bienvenido al programa señor ADMIN" y luego terminar.
+
+NOTA: Para pedir por pantalla y guardarlo en una variable llamada password debes hacer uso de password:str = input('Introduce una contraseña')
+'''
+
+def reto5Basico():
+  acierto: bool = False
+  valor_introducido: str = ''
+
+  while not acierto:
+      valor_introducido = input('Introduzca una contraseña: ')
+      if(valor_introducido == 'admin'):
+          acierto = True
+          print(f"Bienvenido al programa señor ADMIN")
+          break
+      else:
+          print("¡Contraseña incorrecta!")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto6.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto6.py"
new file mode 100644
index 000000000..44a1871eb
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto6.py"	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 6 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que pregunte al usuario su edad y muestre por pantalla si es mayor de edad o no.
+'''
+
+def reto6Basico():
+  # Usaremos la función input("mensaje") para solicitar algo al usuario por consola
+  edad: int = input('Hola Usuario, introduce tu edad: ')
+
+  # lo que se obtiene desde input() es siempre un str, así que lo tenemos que convertir a un número entero -> int(edad)
+  if(int(edad) < 18):
+      print('Eres menor de edad')
+  else:
+      print('Eres Mayor de edad')
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto7.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto7.py"
new file mode 100644
index 000000000..41eabf53a
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto7.py"	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 7 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que contenga dos variables. Una de ellas representa la contraseña de un usuario y la otra un texto introducido. 
+El programa debe poder mostrar por pantalla si las dos cadenas de texto son iguales sin tener en cuenta mayúsculas y minúsculas.
+'''
+
+def reto7Basico():
+  pass_word: str = "admin"
+  texto_introducido: str = "AdMiN"
+
+  if(pass_word.lower() == texto_introducido.lower()):
+      print ("¡HURRA! ¡Las contraseñas son iguales!")
+  else:
+      print ("¡ERROR! ¡Las contraseñas no coinciden!")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto8.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto8.py"
new file mode 100644
index 000000000..fa0cae1e3
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto8.py"	
@@ -0,0 +1,33 @@
+'''
+    ---------- RETO 8 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que pueda decirte si un número (número entero) es primo o no
+'''
+
+'''
+Número Primo: Aquellos números que son
+únicamente divisibles entre sí mismos y 1
+Son mayores que 1: 
+[2, 3, 5, 7, 11, 13, 17, 19, 23, etc. ]
+'''
+
+def reto8Basico():
+  numero: int = int(input('Introduce un número entero: '))
+
+  if numero > 1:
+      # Buscamos los factores de número
+      for i in range(2,int(numero)):
+          if (int(numero) % i) == 0:
+              print(f"Lo siento, el número {numero} NO ES PRIMO. Es divisible entre {i}")
+              break
+      else:
+          print(f"¡ENHORABUENA!, el número {numero} ES PRIMO")
+  else:
+      print(f"Lo siento, el número {numero} NO ES PRIMO. Los números primos son mayores que 1")
\ No newline at end of file
diff --git "a/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto9.py" "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto9.py"
new file mode 100644
index 000000000..ae46c56d5
--- /dev/null
+++ "b/PROFESORES/PYTHON/Retos Solucionados/B\303\241sicos/reto9.py"	
@@ -0,0 +1,20 @@
+'''
+    ---------- RETO 9 Básico -----------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que pueda decirte si un año (número entero) es bisiesto o no
+'''
+
+def reto9Basico():
+  anio: int = int(input("Introduce un año y vamos a ver si es bisiesto... "))
+
+  if(anio % 4 == 0 and (anio % 100 != 0 or anio % 400 == 0)):
+      print(f"¡El año {anio} es bisiesto!")
+  else:
+      print(f"Lo sentimos. El año {anio} NO es bisiesto!")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto10.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto10.py
new file mode 100644
index 000000000..756c7131a
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto10.py	
@@ -0,0 +1,29 @@
+'''
+    ---------- RETO 10 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribir una función que calcule el máximo común divisor de dos números y otra que calcule el mínimo común múltiplo.
+'''
+
+import math
+
+def max_comun_div(numero_a, numero_b) -> int:
+    while numero_b:
+        numero_a,numero_b = numero_b, numero_a % numero_b
+    return numero_a
+
+def min_comun_mult(numero_a, numero_b) -> int:
+    return abs(numero_a*numero_b)
+
+def reto10Avanzado():
+  print(f"El Máximo Común Divisor de 15 es: {max_comun_div(15, 30)}")
+  print(f"El Mínimo Común Múltiplo de 15 es: {max_comun_div(15, 30)}")
+
+  # otra forma aún más sencilla
+  print(f"El Máximo Común Divisor de 15 es: {math.gcd(15, 30)}")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto11.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto11.py
new file mode 100644
index 000000000..15811534e
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto11.py	
@@ -0,0 +1,118 @@
+'''
+    ---------- RETO 11 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Una empresa quiere gestionar su cartera de clientes. Escribe un programa que guarde los clientes en un diccionario u objeto literal en el que disponga de:
+
+- NIF (string)
+- nombre (string)
+- apellidos (string)
+- teléfono (string)
+- email (string)
+- preferente (boolean)
+
+El programa debe mostrar las siguientes opciones para que escoja el usuario:
+
+(1) Añadir un cliente
+(2) Eliminar cliente por NIF
+(3) Mostrar Cliente por NIF
+(4) Listar TODOS los clientes
+(5) Mostrar ÚNICAMENTE los clientes preferentes
+(6) Finalizar Programa
+
+'''
+
+
+#Cartera de Clientes
+lista_clientes: [] = []
+cliente = {}
+
+def crearCliente():
+    global lista_clientes
+    cliente['NIF'] = input('NIF:')
+    cliente['Nombre'] = input("Nombre: ")
+    cliente['Apellidos'] = input("Apellidos: ")
+    cliente['Telefono'] = input("Telefono: ")
+    cliente['Email'] = input("Email: ")
+    cliente['Preferente'] = input('¿Es un cliente preferente? (Si / No)')
+    
+    lista_clientes.append(cliente)
+
+def mostrarClientes():
+    global lista_clientes
+    for i, cliente in enumerate(lista_clientes):
+        print(f"{i} - {cliente['Nombre']} {cliente['Apellidos']}")
+
+def mostrarPreferentes():
+    global lista_clientes
+    lista_preferentes: [] = []
+    for i, cliente in enumerate(lista_clientes):
+        if(cliente['Preferente'] == 'Si'):
+            lista_preferentes.append(cliente)
+    print('Lista de clientes preferentes:')
+    for i, preferentes in enumerate(lista_preferentes):
+        print(f"{i} - {cliente['Nombre']} {cliente['Apellidos']}")
+    print('No existe ningún cliente con este NIF')
+
+
+def mostrarClienteNIF():
+    global lista_clientes
+    nif = input('¿NIF?')
+    for i, cliente in enumerate(lista_clientes):
+        if(nif == cliente['NIF']):
+            print(f"{nif} - {cliente['Nombre']} {cliente['Apellidos']}")
+            return
+    print('No existe ningún cliente con este NIF')
+
+def eliminarClienteNIF():
+    global lista_clientes
+    nif = input('¿NIF?')
+    for i, cliente in enumerate(lista_clientes):
+        if(nif == cliente['NIF']):
+            lista_clientes.remove(cliente)
+            return
+    print('No existe ningún cliente con este NIF')
+
+def mensajeCierre():
+    print("Cerrando...")
+
+def switch(opcion):
+    switcher = {
+        #invocar métodos
+        1 : crearCliente,
+        2 : mostrarClientes, 
+        3 : mostrarPreferentes,
+        4 : mostrarClienteNIF,
+        5 : eliminarClienteNIF, 
+        0 : mensajeCierre,
+    }
+
+    func = switcher.get(opcion, "¡Opción no valida!")
+    func() # Ejecutamos la función asignada a la propiedad escogida
+
+opciones = """
+Opcion 1 : Añadir un cliente
+Opcion 2 : Mostrar Todos los Clientes
+Opcion 3 : Mostrar Clientes Preferentes
+Opcion 4 : Mostrar Cliente por NIF
+Opcion 5 : Eliminar Cliente por NIF
+Opcion 0 : Salir 
+"""
+
+def reto11Avanzado():
+  opcion = ""
+
+  while(opcion!=0):
+      print(opciones)
+      try:
+        opcion = int(input("Bienvenido a tu cartera de clientes. Escoge una opción: "))
+        print(f'Escogida {opcion}')
+        switch(opcion)
+      except:
+        print("Opcion no valida")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto12.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto12.py
new file mode 100644
index 000000000..72516f94f
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto12.py	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 12 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un script de código que haga al usuario introducir 8 alturas de edificios (deben ser float)
+y que saque por consola las 3 más altas (haz uso de sorted).
+'''
+
+def reto12Avanzado():
+  print("Introduce la altura de 8 edificios:")
+  alturas = [int(input()) for i in range(8)]
+
+  print("Las tres alturas más altas:")
+  alturas = sorted(alturas)
+
+  print(*alturas[:4:-1], sep='\n')
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto13.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto13.py
new file mode 100644
index 000000000..3ca95f76a
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto13.py	
@@ -0,0 +1,32 @@
+'''
+    ---------- RETO 13 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que sea capaz de encontrar la diferencia completa entre dos fechas, mostrando días, horas, minutos y segundos.
+'''
+
+from datetime import datetime
+
+def date_diff_in_seconds(dt2, dt1):
+    timedelta = dt2 - dt1
+    return timedelta.days * 24 * 3600 + timedelta.seconds
+
+def dhms_from_seconds(seconds):
+	minutes, seconds = divmod(seconds, 60)
+	hours, minutes = divmod(minutes, 60)
+	days, hours = divmod(hours, 24)
+	return (days, hours, minutes, seconds)
+
+
+def reto13Avanzado():
+  date1 = datetime.strptime('2015-01-01 01:00:00', '%Y-%m-%d %H:%M:%S')
+
+  date2 = datetime.now()
+
+  print("\n%d días, %d horas, %d minutos, %d segundos" % dhms_from_seconds(date_diff_in_seconds(date2, date1)))
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto14.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto14.py
new file mode 100644
index 000000000..68ed9a7df
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto14.py	
@@ -0,0 +1,36 @@
+'''
+    ---------- RETO 14 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Partiendo de las siguientes cadenas de texto:
+
+miCodigo = 'print("Hola Mundo")'
+otroCodigo = 
+"""
+
+def multiplicar(x,y):   
+  return x*y
+
+print('Multiplica: 2 * 4: ',multiplicar(2,4))
+"""
+
+Haz uso de exec() para ejecutar ambas operaciones
+
+'''
+
+def reto14Avanzado():
+  miCodigo = 'print("Hola Mundo")'
+  otroCodigo = """
+  def multiplicar(x,y):
+      return x*y
+
+  print('Multiplica: 2 * 4: ',multiplicar(2,4))
+  """
+  exec(miCodigo)
+  exec(otroCodigo)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto15.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto15.py
new file mode 100644
index 000000000..05f39d7ae
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto15.py	
@@ -0,0 +1,23 @@
+'''
+    ---------- RETO 15 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Realiza un script que permita encontrar dentro de la lista aquellos elementos que sean tuplas.
+Cada vez que encuentre una tupla, deberá incrementarse la variable cantidad.
+'''
+
+def reto15Avanzado():
+  numeros = [10,20,(1,3),30,50,69,(10,20),40]
+  cantidad = 0
+
+  for numero in numeros:
+      if isinstance(numero, tuple):  
+        cantidad += 1
+
+  print(f"Cantidad de tuplas: {cantidad}")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto16.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto16.py
new file mode 100644
index 000000000..73ea7a35a
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto16.py	
@@ -0,0 +1,23 @@
+'''
+    ---------- RETO 16 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Partiendo de la siguiente lista de tuplas:
+
+miLista = [(), (), ('',), ('a', 'b'), ('a', 'b', 'c'), ('d')]
+
+Actualiza la lista sin aquellas tuplas que estén vacías.
+'''
+
+def reto16Avanzado():
+  miLista = [(), (), ('',), ('a', 'b'), ('a', 'b', 'c'), ('d')]
+
+  miLista = [tupla for tupla in miLista if tupla]
+
+  print(miLista)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto17.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto17.py
new file mode 100644
index 000000000..73f4a9e60
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto17.py	
@@ -0,0 +1,18 @@
+'''
+    ---------- RETO 17 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Crea un script que pueda mostrar la hora actual en milisegundos
+'''
+import time
+
+def reto17Avanzado():
+
+  mili_seg = int(round(time.time() * 1000))
+  print(mili_seg)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto18.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto18.py
new file mode 100644
index 000000000..fd1987c80
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto18.py	
@@ -0,0 +1,25 @@
+'''
+    ---------- RETO 18 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+A partir de la siguiente lista:
+
+colores = [("Black", "#000000", "rgb(0, 0, 0)"), ("Red", "#FF0000", "rgb(255, 0, 0)"),("Yellow", "#FFFF00", "rgb(255, 255, 0)")]
+
+Crea un script que pueda almacenar cada uno de los elementos (tuplas) de la lista en variable1, variable2 y variable3 para después imprimirlas por consola.
+'''
+
+def reto18Avanzado():
+  colores = [("Black", "#000000", "rgb(0, 0, 0)"), ("Red", "#FF0000", "rgb(255, 0, 0)"),("Yellow", "#FFFF00", "rgb(255, 255, 0)")]
+
+  variable1, variable2, variable3 = colores
+  
+  print(variable1)
+  print(variable2)
+  print(variable3)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto19.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto19.py
new file mode 100644
index 000000000..cbf9314fa
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto19.py	
@@ -0,0 +1,23 @@
+'''
+    ---------- RETO 19 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa capaz de imprimir los próximos tres días a partir de la fecha actual
+(haz uso de datetime.datetime.today() para obtener la fecha actual).
+
+Pista: investiga acerca de datetime.timedelta()
+'''
+import datetime
+
+def reto19Avanzado():
+
+  base = datetime.datetime.today()
+
+  for x in range(0, 3):
+      print(base + datetime.timedelta(days=x))
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto20.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto20.py
new file mode 100644
index 000000000..469dc65e9
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto20.py	
@@ -0,0 +1,18 @@
+'''
+    ---------- RETO 20 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Haciendo uso de enumerate() muestra por consola cada uno de los caracteres de la palabra Valencia junto al índice de su posición.
+'''
+
+def reto20Avanzado():
+  palabra = "Madrid"
+
+  for index, caracter in enumerate(palabra):
+      print("Caracter: ", caracter, "\nÍndice", index )
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto21.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto21.py
new file mode 100644
index 000000000..7c2f00e37
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto21.py	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 21 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+
+Haciendo uso de:
+colores = ["Negro", "Rojo", "Marrón", "Amarillo"]representacion = ["#000000", "#FF0000", "#800000", "#FFFF00"]
+
+e investigando acerca de zip() deberás entrelazar ambas listas para obtener un diccionario que tenga la clave color cuyos valores son los de la lista colores y otra clave code que tendrá como valor los datos de la lista representación
+'''
+
+def reto21Avanzado():
+  colores = ["Negro", "Rojo", "Marrón", "Amarillo"]
+  representacion = ["#000000", "#FF0000", "#800000", "#FFFF00"]
+
+  print([{'color': f, 'codigo': c} for f, c in zip(colores, representacion)])
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto22.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto22.py
new file mode 100644
index 000000000..4508fcc53
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto22.py	
@@ -0,0 +1,27 @@
+'''
+    ---------- RETO 22 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+A partir de:
+
+listaTuplas = [("x", 1), ("x", 2), ("x", 3), ("y", 1), ("y", 2), ("z", 1)]
+miDiccionario = {}
+
+Realiza una iteración para poder pasar de una lista de tuplas a un diccionario llamado miDiccionario
+
+'''
+
+def reto22Avanzado():
+  listaTuplas = [("x", 1), ("x", 2), ("x", 3), ("y", 1), ("y", 2), ("z", 1)]
+  miDiccionario = {}
+
+  for a, b in listaTuplas:
+      miDiccionario.setdefault(a, []).append(b)
+
+  print (miDiccionario)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto23.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto23.py
new file mode 100644
index 000000000..cc81f6af9
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto23.py	
@@ -0,0 +1,20 @@
+'''
+    ---------- RETO 23 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Investiga acerca de Counter del módulo collections y haciendo uso del siguiente diccionario, encuentra la moda en las puntuaciones de películas:
+
+misPeliculas = {'PeliculaA':81, 'PeliculaB':83, 'PeliculaC':87}
+'''
+from collections import Counter
+
+def reto23Avanzado():
+
+  puntuacion = Counter({'PeliculaA':81, 'PeliculaB':83, 'PeliculaC':87})
+  print(puntuacion.most_common())
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto24.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto24.py
new file mode 100644
index 000000000..85adc6399
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto24.py	
@@ -0,0 +1,26 @@
+'''
+    ---------- RETO 24 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Haciendo uso de {:.2%}
+
+Muestra por consola los valores 0.2564 y -0.253 como porcentajes de dos cifras.
+'''
+
+def reto24Avanzado():
+  x = 0.2564
+  y = -0.253
+
+  print("\nNúmero Original: ", x)
+  print("Porcentaje: " + "{:.2%}".format(x));
+
+  print("Número Original: ", y)
+  print("Porcentaje: " + "{:.2%}".format(y));
+
+  print()
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto25.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto25.py
new file mode 100644
index 000000000..ce044fb56
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto25.py	
@@ -0,0 +1,37 @@
+'''
+    ---------- RETO 25 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Partiendo de la lista:
+
+comunidades = ["Madrid", "Aragón",
+                    "Valencia", "Cataluña",
+                    "Extremadura", "Castilla y León",
+                    "Castilla La Mancha", "Asturias",
+                    "Murcia", "Cantabria", "País Vasco",
+                    "Andalucia"]
+
+Crea una función que sea capaz de devolver una lista ordenada según la longitud de su nombre.
+'''
+
+def comunidadMasLarga(lista):
+    longitud = []
+    for comunidad in lista:
+        longitud.append((len(comunidad), comunidad))
+    longitud.sort()
+    return longitud[-1][1]
+
+
+def reto25Avanzado():
+  print(comunidadMasLarga(["Madrid", "Aragón",
+                      "Valencia", "Cataluña",
+                      "Extremadura", "Castilla y León",
+                      "Castilla La Mancha", "Asturias",
+                      "Murcia", "Cantabria", "País Vasco",
+                      "Andalucia"]))
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto26.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto26.py
new file mode 100644
index 000000000..846abefa9
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto26.py	
@@ -0,0 +1,27 @@
+'''
+    ---------- RETO 26 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Crea una función que reciba una palabra y sea capaz de devolver una palabra del revés.
+'''
+
+def reto26Avanzado():
+  
+  '''
+  def reverso(palabra):
+    if len(palabra) % 4 == 0:
+        return ''.join(reversed(palabra))
+    return palabra
+  '''
+  
+  def reverso2(palabra):
+    return ''.join(reversed(palabra))
+
+  print(reverso2('Madrid'))
+  print(reverso2('Valencia'))
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto27.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto27.py
new file mode 100644
index 000000000..54de66ef1
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto27.py	
@@ -0,0 +1,22 @@
+'''
+    ---------- RETO 27 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Crea un script que le pida al usuario una lista de países (separados por comas). 
+Éstos se deben almacenar en una lista. 
+No debería haber países repetidos (haz uso de set).
+Finalmente, muestra por consola la lista de países ordenados alfabéticamente y separados por comas.
+'''
+
+def reto27Avanzado():
+  items = input("Introduce países separados por comas:\n")
+
+  paises = [pais for pais in items.split(",")]
+
+  print(",".join(sorted(list(set(paises)))))
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto28.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto28.py
new file mode 100644
index 000000000..7aeaee4d4
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto28.py	
@@ -0,0 +1,30 @@
+'''
+    ---------- RETO 28 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+Crea un script que solicite al usuario que escriba una frase que contenga las palabras Madrid y Valencia.
+
+Una vez lo haya introducido, se debe mostrar la frase, habiendo sustituido Madrid por Valencia y Valencia por Madrid.
+
+Por ejemplo: Si el usuario introduce Vivo en Madrid y viajo a Valencia la salida del programa debe ser Vivo en Valencia y viajo a Madrid.
+'''
+
+def reto28Avanzado():
+  print("Introduce una frase con 'Madrid' y 'Valencia'")
+  text = input().split()
+
+  for i in range(len(text)):
+      if "Madrid" in text[i]:
+          n = text[i].index("Madrid")
+          text[i] = text[i][:n] + "Valencia" + text[i][n + 6:]
+      elif "Valencia" in text[i]:
+          n = text[i].index("Valencia")
+          text[i] = text[i][:n] + "Madrid" + text[i][n + 8:]
+
+  print(*text)
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto29.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto29.py
new file mode 100644
index 000000000..d5e093e91
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto29.py	
@@ -0,0 +1,38 @@
+'''
+    ---------- RETO 29 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+
+Crea una función capaz de devolver el segundo valor numérico más pequeño de una lista de números.
+
+'''
+
+def segundoPeque(numeros):
+
+    if (len(numeros)<2):
+        return
+    if ((len(numeros)==2)  and (numeros[0] == numeros[1]) ):
+        return
+
+    elementosDuplicados = set()
+    elementosUnicos = []
+
+    for x in numeros:
+        if x not in elementosDuplicados:
+            elementosUnicos.append(x)
+            elementosDuplicados.add(x)
+    elementosUnicos.sort()  
+    return  elementosUnicos[1]   
+
+def reto29Avanzado():
+  print(segundoPeque([1, 2, -8, -2, 0, -3])) #3
+  print(segundoPeque([1, 1, 0, 0, 2, -2, -2])) #0
+  print(segundoPeque([1, 1, 1, 0, 0, 0, 2, -2, -4])) #-2
+  print(segundoPeque([2,2])) #None
+  print(segundoPeque([2])) #None
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto3.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto3.py
new file mode 100644
index 000000000..6c0731b4d
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto3.py	
@@ -0,0 +1,54 @@
+'''
+    ---------- RETO 3 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+El nuevo gobierno ha decidido replantear el sistema de 
+    pago de impuestos. Ha pensado que a partir de ahora:
+
+    - si una persona es mayor de 16 años y menor de 70 ésta debe pagar impuestos.
+
+    - En caso de no tener ingresos iguales o superiores a 800€ se
+    acumulará una deuda mensual del 10%.
+
+    - Si supera los 800€, pero no llega a los 2000€,
+    deberá pagar un impuesto del 30% mensual
+
+    - Si supera los 2000€ esta persona deberá pagar el 50%
+    en concepto de impuestos
+
+    - si la persona es menor de 16 años,
+    no tiene que pagar impuestos
+
+Escribe un programa capaz de calcular la cantidad de impuestos, o endeudamiento,
+de una lista de personas durante un año entero (12 meses).
+
+'''
+
+
+
+
+def reto3Avanzado():
+    edad = int(input('Introduce tu edad: '))
+    sueldo_mensual: int = 0
+    deuda_mensual: int = 0
+    impuestos_mensual: int = 0
+    
+    if(edad < 16 or edad > 70):
+        print('No tienes que pagar impuestos.')
+    else:
+        sueldo_mensual = int(input('Inroduce tu salario: '))
+        if(sueldo_mensual <= 800):
+            deuda_mensual = sueldo_mensual * 0.10
+            print(f"Con una edad de {edad} y unos ingresos de {sueldo_mensual},acumularás una deuda con el Estado de{deuda_mensual*12}€ este año")
+        elif(sueldo_mensual > 800 and sueldo_mensual < 2000):
+            impuestos_mensual = sueldo_mensual * 0.30
+            print(f"Con una edad de {edad} y unos ingresos de {sueldo_mensual}, debes pagar {impuestos_mensual*12}€ en impuestos este año")
+        else:
+            impuestos_mensual = sueldo_mensual * 0.50
+            print(f"Con una edad de {edad} y unos ingresos de {sueldo_mensual}, debes pagar {impuestos_mensual*12}€ en impuestos este año")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto30.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto30.py
new file mode 100644
index 000000000..49ab8b914
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto30.py	
@@ -0,0 +1,27 @@
+'''
+    ---------- RETO 30 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    -------------------------------------------------
+'''
+
+'''
+
+Investiga acerca de ast y convierte un String en una lista. Es decir, un string que representa una lista literalmente. 
+
+Puedes usar este ejemplo:
+colores ="['Rojo', 'Verde', 'Blanco']"
+
+
+Se trata de una cadena de texto que dentro contiene una lista. La idea es que a través de ast lo conviertas en una lista como tal.
+'''
+
+import ast
+
+
+def reto30Avanzado():
+  colores ="['Rojo', 'Verde', 'Blanco']"
+
+  print(ast.literal_eval(colores))
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto4.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto4.py
new file mode 100644
index 000000000..0e8229807
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto4.py	
@@ -0,0 +1,39 @@
+'''
+    ---------- RETO 4 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que almacene lenguajes de programación en una lista.
+El programa deberá preguntar por consola si el usuario conoce o no el lenguaje. El usuario deberá responder "sí" o "no" y cualquier otra respuesta no será tenida en cuenta, preguntando de nuevo la misma pregunta:
+
+¿Conoces el lenguaje de programación "lenguaje"? (si / no) donde "lenguaje" es cada uno de los lenguajes de la lista.
+Finalmente, el programa debe mostrar por pantalla la lista de los lenguajes y si el usuario los conoce o no. 
+Algo así:
+- JavaScript: no
+- TypeScript: sí
+- Python: sí
+- Dart: no
+
+'''
+
+
+def reto4Avanzado():
+
+  lista_lenguajes: [str] = ['Python', 'TypeScript', 'JavaScript', 'Java', 'C#']
+  lista_capacidades: [(str,str)] = []
+
+
+  for lenguaje in lista_lenguajes:
+      conoce: str = input(f"¿Conoces el lenguaje {lenguaje}? (si / no) ")
+      while(conoce not in ['si', 'no']):
+          conoce = input(f"Debes responder \"si\" o \"no\". ¿Conoces el lenguaje {lenguaje}? (si / no) ")
+      lista_capacidades.append((lenguaje, conoce))
+
+
+  for conocimiento in lista_capacidades:
+      print(f"- {conocimiento[0]}: {conocimiento[1]}")
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto5.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto5.py
new file mode 100644
index 000000000..e0aed50a0
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto5.py	
@@ -0,0 +1,29 @@
+'''
+    ---------- RETO 5 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que realice lo mismo que el programa del reto 4,
+pero que elimine de la lista aquellos lenguajes que el usuario conoce y únicamente muestre aquellos que no conoce.
+'''
+
+def reto5Avanzado():
+  lista_lenguajes: [str] = ['Python', 'TypeScript', 'JavaScript', 'Java', 'C#']
+  lista_capacidades: [(str,str)] = []
+
+  for lenguaje in lista_lenguajes:
+      conoce: str = input(f"¿Conoces el lenguaje {lenguaje}? (si / no) ")
+      while(conoce not in ['si', 'no']):
+          conoce = input(f"Debes responder \"si\" o \"no\". ¿Conoces el lenguaje {lenguaje}? (si / no) ")
+      
+      if(conoce == 'si'):
+          lista_capacidades.append((lenguaje, conoce))
+
+
+  for conocimiento in lista_capacidades:
+    print(f"- {conocimiento[0]}: {conocimiento[1]}")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto6.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto6.py
new file mode 100644
index 000000000..53521cf13
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto6.py	
@@ -0,0 +1,24 @@
+'''
+    ---------- RETO 6 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Reto 6
+Escribe un programa que pida al usuario una palabra por consola y devuelva si se trata de un palíndormo*
+
+* Palíndromo: Palabra o expresión que es igual si se lee de izquierda a derecha que de derecha a izquierda
+'''
+
+def reto6Avanzado():
+  palabra = input("Ingrese una palabra: ")
+  inversa = palabra[::-1]
+
+  if palabra == inversa:
+      print("Palindromo")
+  else:
+      print("No palindromo")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto7.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto7.py
new file mode 100644
index 000000000..87772afd5
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto7.py	
@@ -0,0 +1,30 @@
+'''
+    ---------- RETO 7 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe un programa que pida 5 precios al usuario y los almacene en una lista de precios.
+
+Al finalizar, deberá mostrar por consola la media de los precios introducidos.
+'''
+
+def reto7Avanzado():
+  lista_precios: [float] = []
+  total: float = 0.0
+  media_precios: float = 0.0
+
+  while (lista_precios.__len__() < 5):
+      precio: float = float(input("Introduce un precio: "))
+      lista_precios.append(precio)
+
+  for precio in lista_precios:
+      total += precio
+
+  media_precios = total / lista_precios.__len__()
+
+  print(f"Precio Medio de la lista: {media_precios} €")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto8.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto8.py
new file mode 100644
index 000000000..638daeafd
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto8.py	
@@ -0,0 +1,29 @@
+'''
+    ---------- RETO 8 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe una función que reciba un número entero positivo y devuelva su factorial.
+
+Ejemplo Factorial 5 es 5*4*3*2*1
+'''
+
+def factorial(numero: int) -> int:
+  factorial: int = 1
+  
+  if(numero <= 0):
+    print('Queremos un número positivo distinto de 0')
+    return None
+  
+  for n in range(1,numero+1):
+    factorial *= n
+  
+  return factorial
+
+def reto8Avanzado():
+  print(f"El Factorial de 6 es {factorial(6)}")
\ No newline at end of file
diff --git a/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto9.py b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto9.py
new file mode 100644
index 000000000..72cf9ca08
--- /dev/null
+++ b/PROFESORES/PYTHON/Retos Solucionados/Intermedios_Avanzados/reto9.py	
@@ -0,0 +1,26 @@
+'''
+    ---------- RETO 9 Avanzado --------------
+    AUTOR: MARTÍN SAN JOSÉ DE VICENTE
+    EMAIL: martin@imaginagroup.com
+    AÑO: 2021
+    LICENCIA CÓDIGO: OSS
+    ------------------------------------------
+'''
+
+'''
+Escribe una función que convierta un número decimal en binario y otra que convierta un número binario en decimal.
+'''
+
+numero_decimal = 10
+numero_binario = 0b1010
+
+def dec_a_bin(decimal: float):
+    return bin(decimal)
+    
+def bin_a_dec(binario):
+    return float(binario)
+
+def reto9Avanzado():
+  print(f'El número {numero_decimal} en binario sería: {dec_a_bin(numero_decimal)}')
+
+  print(f'El número binario {str(numero_binario)} es el número: {bin_a_dec(numero_binario)}')
\ No newline at end of file
diff --git a/PROFESORES/SQL/docker_database_with_pgadmin.md b/PROFESORES/SQL/docker_database_with_pgadmin.md
new file mode 100644
index 000000000..2001039dd
--- /dev/null
+++ b/PROFESORES/SQL/docker_database_with_pgadmin.md
@@ -0,0 +1,11 @@
+
+Hola!
+
+Os dejo aquí cómo levantar una base de datos con docker y cargar la base de datos con Postgres and PGAdmin.
+
+Todas las instrucciones las tenéis aquí --> https://github.com/a10pepo/postgressetup. Aseguraros de tener Docker Desktop en vuestos PC instalado para que os funcione correctamente.
+
+Por favor, echadle un ojo y aseguraros que podáis seguir todos los pasos. Si no podéis, podéis mandarme vuestro error/duda al correo gavaldanatalia@gmail.com y trataremos de darle solución.
+
+Gracias!
+
diff --git a/PROFESORES/SQL/template-connection-sql-with-python.ipynb b/PROFESORES/SQL/template-connection-sql-with-python.ipynb
new file mode 100644
index 000000000..b22416387
--- /dev/null
+++ b/PROFESORES/SQL/template-connection-sql-with-python.ipynb
@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# My first notebook creating a templete to connect to any database\n",
+    "# Library\n",
+    "import pyodbc as pdb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Variables\n",
+    "host = \"myhost\"\n",
+    "database = \"mydb\"\n",
+    "user = \"myuser\"\n",
+    "password = \"mypass\"\n",
+    "port = \"myport\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Connection\n",
+    "connection_target = psycopg2.connect(\n",
+    "        host=host,\n",
+    "        database=database,\n",
+    "        user=user,\n",
+    "        password=password,\n",
+    "        port=port\n",
+    "    )\n",
+    "\n",
+    "# Cursor\n",
+    "cur_target = conn_target.cursor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# My first query\n",
+    "query = \"\"\"SELECT * FROM PUBLIC.FILM\"\"\"\n",
+    "cur_target.execute(query)\n",
+    "\n",
+    "# My query transformed into a dataframe\n",
+    "rows = cur_target.fetchall()\n",
+    "\n",
+    "list_of_rows = []\n",
+    "\n",
+    "for row in rows:\n",
+    "    #print(row)\n",
+    "    list_of_rows.append(row)\n",
+    "\n",
+    "df = pd.DataFrame(list_of_rows)\n",
+    "display(df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}