diff --git a/README.md b/README.md index 347bccc..58f160b 100644 --- a/README.md +++ b/README.md @@ -2,10 +2,10 @@ The **kglab** library provides a simple abstraction layer in Python for building knowledge graphs. -Welcome to *graph-based data science*. +Welcome to *graph-based data science*: -> **SPECIAL REQUEST:** +> **SPECIAL REQUEST** > Which features would you like to see the most in an open source Python library for building and using knowledge graphs? Please add suggestions to this online survey: https://forms.gle/FMHgtmxHYWocprMn6 This will help us prioritize the roadmap for **kglab**. @@ -55,30 +55,6 @@ graph libraries in Python: - -### Dependencies - -- [Python 3.6+](https://www.python.org/downloads/) -- [cairocffi](https://github.com/Kozea/cairocffi) -- [gensim](https://radimrehurek.com/gensim/) -- [GPUtil](https://github.com/anderskm/gputil) -- [leidenalg](https://github.com/vtraag/leidenalg) -- [matplotlib](https://matplotlib.org/) -- [NetworkX](https://networkx.org/) -- [NumPy](https://numpy.org/) -- [OWL-RL](https://github.com/RDFLib/OWL-RL) -- [pandas](https://pandas.pydata.org/) -- [pslpython](https://psl.linqs.org/) -- [pySHACL](https://github.com/RDFLib/pySHACL) -- [pyarrow](https://arrow.apache.org/) -- [pylev](https://github.com/toastdriven/pylev) -- [python-dateutil](https://pypi.org/project/python-dateutil/) -- [python-igraph](https://igraph.org/python/) -- [pyvis](https://pyvis.readthedocs.io/) -- [RDFlib](https://rdflib.readthedocs.io/) -- [rdflib-json](https://github.com/RDFLib/rdflib-jsonld) - - ## Build Instructions **Note: most use cases won't need to build this package locally.** @@ -86,100 +62,14 @@ Instead, simply install from [PyPi](https://pypi.python.org/pypi/kglab) or [Conda](https://docs.conda.io/). -To set up the build environment locally: -``` -pip install -r requirements_build.txt -``` - -You will also need to download -[`ChromeDriver`](https://chromedriver.chromium.org/downloads) -for your version of the `Chrome` brower, saved as `chromedriver` in this directory. - -This project uses `typing` and [`mypy`](https://mypy.readthedocs.io/) for *type checking*. -To run type checking: -``` -mypy kglab/*.py -``` - -This project uses `unittest` and [`coverage`](https://coverage.readthedocs.io/) for *unit test* coverage. -Source for unit tests is in the `test.py` module. -To run unit tests: -``` -coverage run -m unittest discover -``` - -To generate a coverage report and upload it to the `codecov.io` -reporting site (if you have the token): -``` -coverage report -bash <(curl -s https://codecov.io/bash) -t @.cc_token -``` - -Test coverage reports can be viewed at - - -To generate documentation pages, this project uses: - - * [`MkDocs`](https://www.mkdocs.org/) - * [`makedocs-material`](https://squidfunk.github.io/mkdocs-material/) - * [`MathJax`](https://www.mathjax.org/) - * [`pymdown-extensions`](https://facelessuser.github.io/pymdown-extensions/) - * [`Jupyter`](https://jupyter.org/install) - * [`nbconvert`](https://nbconvert.readthedocs.io/) - * [`Selenium`](https://selenium-python.readthedocs.io/) - * [`Chrome`](https://www.google.com/chrome/) - * [`Flask`](https://flask.palletsprojects.com/) - -Source for documentation is in the `docs` subdirectory. -To build the documentation: -``` -./nb_md.sh -./pkg_doc.py docs/ref.md -mkdocs build -``` - -To preview the generated microsite locally: -``` -./preview.py -``` - -Then browse to to review the generated -documentation. - -To package the generated microsite for deployment on a -Flask/WSGI server: -``` -tar cvzf kgl.tgz site/ -``` - -To update the [release on PyPi](https://pypi.org/project/kglab/): -``` -./push_pypi.sh -``` - - ---- - -[![kg+lab](https://github.com/DerwenAI/kglab/blob/main/docs/illo/kglab.png)](https://github.com/DerwenAI/kglab/blob/main/docs/illo/kglab.png) - -## Production Use Cases - - * [Derwen](https://derwen.ai/) and its client projects - - -## Similar Projects - -See also: +To set up the build environment locally, see the +["Build Instructions"](https://derwen.ai/docs/kgl/build/) +section of the online documentation. - * [zincbase](https://github.com/complexdb/zincbase) - * *pro:* probabilistic graph measures, complex simulation suite, leverages GPUs - * *con:* lacks interchange with RDF or other standard formats - * [KGTK](https://github.com/usc-isi-i2/kgtk) - * *pro:* many excellent examples, well-documented in Jupyter notebooks - * *con:* mostly a CLI tool, primarily based on TSV data +![illustration of a knowledge graph, plus laboratory glassware](https://raw.githubusercontent.com/DerwenAI/kglab/main/docs/assets/logo.png) -## Attribution +## License and Copyright Source code for **kglab** plus its logo, documentation, and examples have an [MIT license](https://spdx.org/licenses/MIT.html) which is @@ -187,6 +77,9 @@ succinct and simplifies use in commercial applications. All materials herein are Copyright (c) 2020-2021 Derwen, Inc. + +## Attribution + Please use the following BibTeX entry for citing **kglab** if you use it in your research or software. Citations are helpful for the continued development and maintenance of this library. @@ -204,7 +97,8 @@ Citations are helpful for the continued development and maintenance of this libr ## Kudos Many thanks to our contributors: +[@ceteri]((https://github.com/ceteri), [@jake-aft](https://github.com/jake-aft), [@dmoore247](https://github.com/dmoore247), -plus general support from [Derwen, Inc.](https://derwen.ai/) -and [The Knowledge Graph Conference](https://www.knowledgegraph.tech/). +plus general support from [Derwen, Inc.](https://github.com/DerwenAI) +and [The Knowledge Graph Conference](https://github.com/KGConf). diff --git a/docs/assets/learning.png b/docs/assets/learning.png new file mode 100644 index 0000000..a102a58 Binary files /dev/null and b/docs/assets/learning.png differ diff --git a/docs/assets/logo.png b/docs/assets/logo.png index f6f803a..27a1da0 100644 Binary files a/docs/assets/logo.png and b/docs/assets/logo.png differ diff --git a/docs/illo/tradeoffs.png b/docs/assets/tradeoffs.png similarity index 100% rename from docs/illo/tradeoffs.png rename to docs/assets/tradeoffs.png diff --git a/docs/author.md b/docs/author.md index d9e69f5..44608c9 100644 --- a/docs/author.md +++ b/docs/author.md @@ -55,6 +55,9 @@ KTH, NYU, GWU, U Maryland, Cal Poly, UT/Austin, U Virginia, CU Boulder. + +## Just Enough Math, Edition 2 + You'll find elements from most of the above woven throughout this [**kglab** tutorial](../tutorial/): data science, business context, AI applications, @@ -71,9 +74,12 @@ which had the elevator pitch: thanks to quick thinking by editor Ann Spencer – turned into a popular video+notebook series, followed by tutorials, and then a community focused on open source. +Seven years later the field of +[data science](../glossary/#data-science) +has changed dramatically This time around, **kglab** starts as an open source Python library, with a notebook-based tutorial at its core, focused on a community and their business use cases. -Perhaps someday it may spin-out a book or other learning materials. -YMMV. +The scope now is about [*graph-based data science*](../glossary/#graph-based-data-science), +and perhaps someday this may spin-out a book or other learning materials. diff --git a/docs/biblio.md b/docs/biblio.md index e056fec..6ae99f0 100644 --- a/docs/biblio.md +++ b/docs/biblio.md @@ -14,6 +14,7 @@ O'Reilly Media (2020) **Jesse Anderson** Apress (2020) + ## – B – ### bell2019 @@ -34,6 +35,7 @@ Manning (2018) **Eric Brewer** *Computer* 45:2 (2012) + ## – C – ### ceder2018 @@ -48,6 +50,13 @@ Manning (2018) **François Chollet** Manning (2017) +### chong2021ds + +[*Become a Leader in Data Science*](https://www.manning.com/books/become-a-leader-in-data-science) +**Jike Chong**, **Yue Cathy Chang** +Manning (2021) + + ## – D – ### das2020meta @@ -61,6 +70,7 @@ Manning (2017) **Aaron Kalb**, **Daniel Rincon Silva** LinkedIn (2020) + ## – G – ### gosnell2020 @@ -75,6 +85,7 @@ O'Reilly Media (2020) **Thomas R. Gruber** *Knowledge Acquisition* 5 (1993) + ## – H – ### hellersteinsgsa17 @@ -98,6 +109,7 @@ O'Reilly Media (2020) **Antoine Zimmermann** *arXiv* (2020) + ## – J – ### jonas2019cloud @@ -109,6 +121,7 @@ O'Reilly Media (2020) **Raluca Ada Popa**, **Ion Stoica**, **David A. Patterson** *arXiv* (2019) + ## – K – ### kreps2014 @@ -117,6 +130,7 @@ O'Reilly Media (2020) **Jay Kreps** O'Reilly Media (2014) + ## – L – ### ledem2013hadoop @@ -151,11 +165,12 @@ Gradient Flow (2020) ### lorica2020rai -["Responsible AI in Practice"](https://gradientflow.com/ResponsibleAI2020) +["Responsible AI in Practice"](https://gradientflow.com/ResponsibleAI2020) **Ben Lorica**, **Paco Nathan**, **Gina Blaber**, **Andrew Burt**, **Rumman Chowdhury**, **Yishay Carmiel** Gradient Flow (2020) + ## – N – ### nathan2014jem @@ -176,6 +191,7 @@ Manning (2021) **Natalya F. Noy**, **Deborah L. McGuinness** *Stanford Knowledge Systems Laboratory Technical Report KSL-01-05* (2001) + ## – P – ### perrone2020network diff --git a/docs/build.md b/docs/build.md new file mode 100644 index 0000000..151f309 --- /dev/null +++ b/docs/build.md @@ -0,0 +1,104 @@ +# Build Instructions + +!!! note + In most cases you won't need to build this package locally. + +Unless you're doing development work on the **kglab** library itself, +simply install based on the instructions in +["Getting Started"](https://derwen.ai/docs/kgl/start/). + + +## Setup + +To set up the build environment locally: +``` +pip install -r requirements_build.txt +``` + +You will also need to download +[`ChromeDriver`](https://chromedriver.chromium.org/downloads) +for your version of the `Chrome` brower, saved as `chromedriver` in this directory. + + +## Type Checking + +This project uses `typing` and [`mypy`](https://mypy.readthedocs.io/) +for *type checking*. + +To run type checking: +``` +mypy kglab/*.py +``` + + +## Test Coverage + +This project uses `unittest` and +[`coverage`](https://coverage.readthedocs.io/) +for *unit test* coverage. +Source for unit tests is in the +[`test.py`](https://github.com/DerwenAI/kglab/blob/main/test.py) +module. + +To run unit tests: +``` +coverage run -m unittest discover +``` + +To generate a coverage report and (providing you have the access +token) upload it to the `codecov.io` reporting site: +``` +coverage report +bash <(curl -s https://codecov.io/bash) -t @.cc_token +``` + +Test coverage reports can be viewed at + + + +## Online Documentation + +To generate documentation pages, this project uses: + + * [`MkDocs`](https://www.mkdocs.org/) + * [`makedocs-material`](https://squidfunk.github.io/mkdocs-material/) + * [`pymdown-extensions`](https://facelessuser.github.io/pymdown-extensions/) + * [`MathJax`](https://www.mathjax.org/) + * [`Jupyter`](https://jupyter.org/install) + * [`nbconvert`](https://nbconvert.readthedocs.io/) + * [`Selenium`](https://selenium-python.readthedocs.io/) + * [`Chrome`](https://www.google.com/chrome/) + * [`Flask`](https://flask.palletsprojects.com/) + +Source for the documentation is in the +[`docs`](https://github.com/DerwenAI/kglab/tree/main/docs) +subdirectory. + +To build the documentation: +``` +./nb_md.sh +./pkg_doc.py docs/ref.md +mkdocs build +``` + +To preview the generated microsite locally: +``` +./preview.py +``` + +Then browse to to review the generated +documentation. + +To package the generated microsite for deployment on a +Flask/WSGI server: +``` +tar cvzf kgl.tgz site/ +``` + + +## Package Release + +To update the [release on PyPi](https://pypi.org/project/kglab/): +``` +./push_pypi.sh +``` diff --git a/docs/concepts.md b/docs/concepts.md index 2089f5f..091ceee 100644 --- a/docs/concepts.md +++ b/docs/concepts.md @@ -5,6 +5,10 @@ This material is a work in progress, at "rough draft" stage. +## Organization of learning materials + + + The primary abstractions used in **kglab** are based on a small set of Python classes. These class definitions can be subclassed and extended to handle @@ -13,31 +17,32 @@ specific use cases as needed. ## Knowledge Graph - * [`kglab.KnowledgeGraph`](../ref/#KnowledgeGraph) +[`kglab.KnowledgeGraph`](../ref/#knowledgegraph-class) construction of *RDF graphs* also handle *property graph* -*representation* -*semantic technologies* -*serialization* -*querying* -*validation* + * *representation* + * *semantic technologies* + * *serialization* + * *querying* + * *validation* ## Measure - * [`kglab.Measure`](../ref/#Measure) +[`kglab.Measure`](../ref/#measure-class) -*topology* -*statistics* + * *topology* + * *statistics* ## Subgraph - * [`kglab.Subgraph`](../ref/#Subgraph) +[`kglab.Subgraph`](../ref/#subgraph-class) -*visualization* -*graph algorithms* -*probabilistic graph inference* -*embedding* \ No newline at end of file + * *label encoding* + * *visualization* + * *graph algorithms* + * *probabilistic graph inference* + * *embedding* \ No newline at end of file diff --git a/docs/illo/kglab.graffle/data.plist b/docs/illo/kglab.graffle/data.plist index af1e6eb..f782c18 100644 Binary files a/docs/illo/kglab.graffle/data.plist and b/docs/illo/kglab.graffle/data.plist differ diff --git a/docs/illo/kglab.graffle/image4.tiff b/docs/illo/kglab.graffle/image5.tiff similarity index 100% rename from docs/illo/kglab.graffle/image4.tiff rename to docs/illo/kglab.graffle/image5.tiff diff --git a/docs/illo/kglab.png b/docs/illo/kglab.png deleted file mode 100644 index f6f803a..0000000 Binary files a/docs/illo/kglab.png and /dev/null differ diff --git a/docs/index.md b/docs/index.md index 1b458d2..a9fe36a 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,6 +1,6 @@ # Graph-Based Data Science -[![illustration of a knowledge graph, plus laboratory glassware](https://raw.githubusercontent.com/DerwenAI/kglab/main/docs/illo/kglab.png)](https://github.com/DerwenAI/kglab/blob/main/docs/illo/kglab.png) +illustration of a knowledge graph, plus laboratory glassware The **kglab** package provides a simple [abstraction layer](glossary/#abstraction-layer) @@ -16,7 +16,7 @@ work that require graph data, presenting as an emerging practice. -## Cut to the chase +## Cut to the Chase 1. To get started right away, jump to [*Getting Started*](start/) 1. For an extensive, hands-on coding tour through **kglab**, follow the [*Tutorial*](tutorial/) notebooks @@ -31,6 +31,7 @@ as an emerging practice. A short list of primary motivations have been identified for **kglab**, its design criteria, and engineering trade-offs: + ### Popular Graph Libraries **Point 1:** @@ -47,6 +48,7 @@ integrate with popular graph libraries, including and so on – several of which would otherwise not have much common ground. + ### Data Science Workflows **Point 2:** @@ -62,6 +64,7 @@ as well as [PyTorch](https://pytorch.org/), and other quintessential data science tools. + ### Distributed Systems Infrastructure **Point 3:** @@ -78,6 +81,7 @@ infrastructure, including: [Apache Spark](https://spark.apache.org/), etc. + ### Natural Language Understanding **Point 4:** @@ -132,7 +136,7 @@ also hosts for [Paco Nathan](author/) and others involved in this open source project. -## Feedback +## Feedback and Roadmap !!! note **SPECIAL REQUEST:** Which features would you like to see the most @@ -141,15 +145,8 @@ for [Paco Nathan](author/) and others involved in this open source project. Your feedback through this online survey helps us prioritize the roadmap for **kglab**: +Links for other open source community resources: -## Just Enough Math, Edition 2 - -Originally, **kglab** aimed at being a follow-up edition of -[*Just Enough Math*](biblio/#nathan2014jem). -Seven years later the field of -[data science](glossary/#data-science) -has changed dramatically, and as we'll explore in the section -["What is a Knowledge Graph?"](what/) -In short, the time for -[*graph-based data science*](glossary/#graph-based-data-science) -has arrived. + * [Milestones](https://github.com/DerwenAI/kglab/milestones) + * [GH Issues](https://github.com/DerwenAI/kglab/issues) + * [Project Board](https://github.com/DerwenAI/kglab/projects/1) diff --git a/docs/stylesheets/extra.css b/docs/stylesheets/extra.css index ce8dc7d..7053c57 100644 --- a/docs/stylesheets/extra.css +++ b/docs/stylesheets/extra.css @@ -1,5 +1,13 @@ +.md-typeset a { + color: hsl(66deg 100% 31%); +} + +.md-typeset a:focus, .md-typeset a:hover { + color: hsl(306, 45%, 57%); +} + :root { --md-primary-fg-color: hsl(65, 46%, 58%); - --md-primary-fg-color--light: #ECB7B7; - --md-primary-fg-color--dark: #90030C; + --md-primary-fg-color--light: #000; + --md-primary-fg-color--dark: #FFF; } \ No newline at end of file diff --git a/docs/what.md b/docs/what.md index 484312c..c45d9fe 100644 --- a/docs/what.md +++ b/docs/what.md @@ -56,14 +56,14 @@ non-negative, symmetric properties allow for *factorization* (or *decomposition* * lessons of 2010 all over again: MPPs, BI, EDW, etc. narrative arc: -[linden2006early](../biblio/#linden2006early) +[[linden2006early]](../biblio/#linden2006early) => -[kreps2014](../biblio/#kreps2014) +[[kreps2014]](../biblio/#kreps2014) => -[anderson2020dt](../biblio/#anderson2020dt) +[[anderson2020dt]](../biblio/#anderson2020dt) with -[breiman2001](../biblio/#breiman2001) -[brewer2012cap](../biblio/#brewer2012cap) +[[breiman2001]](../biblio/#breiman2001) +[[brewer2012cap]](../biblio/#brewer2012cap) in-between In 2018, Gartner began to acknowledge the term @@ -90,4 +90,4 @@ Those days are long gone. [^1]: ["How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications"](https://www.gartner.com/en/documents/3985680/how-to-build-knowledge-graphs-that-enable-ai-driven-ente), Afraz Jaffri, *Gartner Research* (2020-05-27) -[^2]: see [brewer2012cap](../biblio/#brewer2012cap) for discussion of the *CAP Theorem* +[^2]: see [[brewer2012cap]](../biblio/#brewer2012cap) for discussion of the *CAP Theorem* diff --git a/examples/ex4_0.ipynb b/examples/ex4_0.ipynb index cef3c84..b3e39a4 100644 --- a/examples/ex4_0.ipynb +++ b/examples/ex4_0.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -71,23 +71,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - ")>" + ")>" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import rdflib as rdf\n", - "import rdflib.namespace\n", "\n", "g = rdf.Graph()\n", "g.parse(data=n3_string, format=\"n3\")" @@ -102,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -125,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -152,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -203,7 +202,7 @@ "namespaces = {\n", " \"nom\": \"http://example.org/#\",\n", " \"wtm\": \"http://purl.org/heals/food/\",\n", - " \"ind\": \"http://purl.org/heals/ingredient/\",\n", + " \"ind\": \"http://purl.org/heals/ingredient/\",\n", " \"skos\": \"http://www.w3.org/2004/02/skos/core#\",\n", " }\n", "\n", @@ -354,14 +353,14 @@ " \n", " \n", " 10\n", - " <https://www.food.com/recipe/497918>\n", - " easy homemade noodles\n", + " <https://www.food.com/recipe/19097>\n", + " basic dessert crepes batter\n", " 0 days 01:30:00\n", " \n", " \n", " 11\n", - " <https://www.food.com/recipe/19104>\n", - " all purpose dinner crepes batter\n", + " <https://www.food.com/recipe/362055>\n", + " miss ellen s pound cake\n", " 0 days 01:30:00\n", " \n", " \n", @@ -372,14 +371,14 @@ " \n", " \n", " 13\n", - " <https://www.food.com/recipe/362055>\n", - " miss ellen s pound cake\n", + " <https://www.food.com/recipe/19104>\n", + " all purpose dinner crepes batter\n", " 0 days 01:30:00\n", " \n", " \n", " 14\n", - " <https://www.food.com/recipe/19097>\n", - " basic dessert crepes batter\n", + " <https://www.food.com/recipe/497918>\n", + " easy homemade noodles\n", " 0 days 01:30:00\n", " \n", " \n", @@ -396,1270 +395,70 @@ " \n", " \n", " 17\n", - " <https://www.food.com/recipe/137357>\n", - " dane dumplings\n", - " 0 days 01:15:00\n", - " \n", - " \n", - " 18\n", " <https://www.food.com/recipe/151617>\n", " sugar cookies for ceramic cookie molds\n", " 0 days 01:15:00\n", " \n", " \n", - " 19\n", - " <https://www.food.com/recipe/37971>\n", - " buttery pound cake\n", + " 18\n", + " <https://www.food.com/recipe/137357>\n", + " dane dumplings\n", " 0 days 01:15:00\n", " \n", " \n", - " 20\n", + " 19\n", " <https://www.food.com/recipe/234763>\n", " norwegian krumkake\n", " 0 days 01:15:00\n", " \n", - " \n", - " 21\n", - " <https://www.food.com/recipe/489>\n", - " butter crepes\n", - " 0 days 01:11:00\n", - " \n", - " \n", - " 22\n", - " <https://www.food.com/recipe/216474>\n", - " giant sized popovers\n", - " 0 days 01:10:00\n", - " \n", - " \n", - " 23\n", - " <https://www.food.com/recipe/75949>\n", - " quick and easy popovers\n", - " 0 days 01:10:00\n", - " \n", - " \n", - " 24\n", - " <https://www.food.com/recipe/183808>\n", - " peach kuchen\n", - " 0 days 01:10:00\n", - " \n", - " \n", - " 25\n", - " <https://www.food.com/recipe/458>\n", - " basic crepes ii\n", - " 0 days 01:05:00\n", - " \n", - " \n", - " 26\n", - " <https://www.food.com/recipe/49904>\n", - " leche asada\n", - " 0 days 01:05:00\n", - " \n", - " \n", - " 27\n", - " <https://www.food.com/recipe/459>\n", - " basic crepes\n", - " 0 days 01:05:00\n", - " \n", - " \n", - " 28\n", - " <https://www.food.com/recipe/255660>\n", - " kitchen princess christmas cookies\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 29\n", - " <https://www.food.com/recipe/317697>\n", - " swabian noodles spatzle\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 30\n", - " <https://www.food.com/recipe/424328>\n", - " wonton wrappers made at home\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 31\n", - " <https://www.food.com/recipe/311010>\n", - " mama s finnish wafers\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 32\n", - " <https://www.food.com/recipe/72129>\n", - " muffin tin popovers\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 33\n", - " <https://www.food.com/recipe/140570>\n", - " rivilchas\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 34\n", - " <https://www.food.com/recipe/279314>\n", - " choux pastry for profiteroles cream puffs or...\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 35\n", - " <https://www.food.com/recipe/93990>\n", - " egg roll wrappers\n", - " 0 days 01:00:00\n", - " \n", - " \n", - " 36\n", - " <https://www.food.com/recipe/135405>\n", - " oven baked breakfast custard\n", - " 0 days 00:55:00\n", - " \n", - " \n", - " 37\n", - " <https://www.food.com/recipe/76907>\n", - " crustless baked custard pie\n", - " 0 days 00:55:00\n", - " \n", - " \n", - " 38\n", - " <https://www.food.com/recipe/142565>\n", - " greek travelling pie\n", - " 0 days 00:55:00\n", - " \n", - " \n", - " 39\n", - " <https://www.food.com/recipe/35345>\n", - " portuguese queijadas\n", - " 0 days 00:55:00\n", - " \n", - " \n", - " 40\n", - " <https://www.food.com/recipe/144415>\n", - " spritz cookies with four variations\n", - " 0 days 00:51:00\n", - " \n", - " \n", - " 41\n", - " <https://www.food.com/recipe/358908>\n", - " mel boller danish soup dumplings\n", - " 0 days 00:50:00\n", - " \n", - " \n", - " 42\n", - " <https://www.food.com/recipe/186307>\n", - " suzi s pop over puffs\n", - " 0 days 00:45:00\n", - " \n", - " \n", - " 43\n", - " <https://www.food.com/recipe/229516>\n", - " filipino lumpia wrappers\n", - " 0 days 00:45:00\n", - " \n", - " \n", - " 44\n", - " <https://www.food.com/recipe/12402>\n", - " ann s shortbread\n", - " 0 days 00:45:00\n", - " \n", - " \n", - " 45\n", - " <https://www.food.com/recipe/186892>\n", - " pate a choux\n", - " 0 days 00:45:00\n", - " \n", - " \n", - " 46\n", - " <https://www.food.com/recipe/37825>\n", - " oven scrambled eggs for a crowd\n", - " 0 days 00:45:00\n", - " \n", - " \n", - " 47\n", - " <https://www.food.com/recipe/221279>\n", - " paula deen s popovers\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 48\n", - " <https://www.food.com/recipe/170296>\n", - " our favourite belgian waffles\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 49\n", - " <https://www.food.com/recipe/175046>\n", - " oven baked sugar cones for ice cream\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 50\n", - " <https://www.food.com/recipe/159039>\n", - " choux pastry for cream puffs eclairs etc\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 51\n", - " <https://www.food.com/recipe/268209>\n", - " honey wheat popovers\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 52\n", - " <https://www.food.com/recipe/272746>\n", - " simple and basic crepe batter\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 53\n", - " <https://www.food.com/recipe/15219>\n", - " teething biscuits\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 54\n", - " <https://www.food.com/recipe/60413>\n", - " never fail popovers\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 55\n", - " <https://www.food.com/recipe/447296>\n", - " dessert puff pastry\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 56\n", - " <https://www.food.com/recipe/109179>\n", - " easy yorkshire puddings\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 57\n", - " <https://www.food.com/recipe/173544>\n", - " whole wheat popovers\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 58\n", - " <https://www.food.com/recipe/137158>\n", - " pikkuleipienperustaikina finnish butter cooki...\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 59\n", - " <https://www.food.com/recipe/171106>\n", - " jamie oliver s huge yorkshire puddings\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 60\n", - " <https://www.food.com/recipe/4643>\n", - " tjock pan kaka swedish thick pancake\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 61\n", - " <https://www.food.com/recipe/148900>\n", - " homemade pasta fettuccine\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 62\n", - " <https://www.food.com/recipe/235671>\n", - " perfect hard boiled eggs\n", - " 0 days 00:40:00\n", - " \n", - " \n", - " 63\n", - " <https://www.food.com/recipe/117025>\n", - " finnish kropser baked pancake\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 64\n", - " <https://www.food.com/recipe/16051>\n", - " plain popovers\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 65\n", - " <https://www.food.com/recipe/15984>\n", - " egg gravy swedish\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 66\n", - " <https://www.food.com/recipe/504246>\n", - " finnish kropser baked pancakes\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 67\n", - " <https://www.food.com/recipe/60149>\n", - " kielke\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 68\n", - " <https://www.food.com/recipe/252783>\n", - " croatian flour noodles\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 69\n", - " <https://www.food.com/recipe/85817>\n", - " hrudka easter cheese\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 70\n", - " <https://www.food.com/recipe/105830>\n", - " no beat popovers\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 71\n", - " <https://www.food.com/recipe/58476>\n", - " microwave creme caramel\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 72\n", - " <https://www.food.com/recipe/157638>\n", - " hootenanny pancakes\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 73\n", - " <https://www.food.com/recipe/107499>\n", - " scandinavian pancake\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 74\n", - " <https://www.food.com/recipe/175652>\n", - " swedish pancakes plattar\n", - " 0 days 00:35:00\n", - " \n", - " \n", - " 75\n", - " <https://www.food.com/recipe/324639>\n", - " flan japanese or asian style\n", - " 0 days 00:31:00\n", - " \n", - " \n", - " 76\n", - " <https://www.food.com/recipe/45260>\n", - " hong kong fortune cookies\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 77\n", - " <https://www.food.com/recipe/308224>\n", - " spaetzel\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 78\n", - " <https://www.food.com/recipe/175450>\n", - " my favorite caramel frosting\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 79\n", - " <https://www.food.com/recipe/357947>\n", - " pancake souffle\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 80\n", - " <https://www.food.com/recipe/371414>\n", - " blondies with variations\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 81\n", - " <https://www.food.com/recipe/62799>\n", - " old fashioned sponge cake\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 82\n", - " <https://www.food.com/recipe/91311>\n", - " no fail homemade noodles\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 83\n", - " <https://www.food.com/recipe/103073>\n", - " simple popovers\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 84\n", - " <https://www.food.com/recipe/406738>\n", - " german egg pancakes\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 85\n", - " <https://www.food.com/recipe/118047>\n", - " fluffy oven scrambled eggs\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 86\n", - " <https://www.food.com/recipe/20191>\n", - " perfect boiled custard\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 87\n", - " <https://www.food.com/recipe/109196>\n", - " galuska for stew dumplings\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 88\n", - " <https://www.food.com/recipe/232248>\n", - " hootenanny\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 89\n", - " <https://www.food.com/recipe/58590>\n", - " egg cheese\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 90\n", - " <https://www.food.com/recipe/73828>\n", - " belgian waffle cookies\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 91\n", - " <https://www.food.com/recipe/272027>\n", - " stamp mold butter cookies\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 92\n", - " <https://www.food.com/recipe/220361>\n", - " spaetzle dumplings\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 93\n", - " <https://www.food.com/recipe/150765>\n", - " baked eggs in bacon wraps\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 94\n", - " <https://www.food.com/recipe/320154>\n", - " plain dumplings spatzen\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 95\n", - " <https://www.food.com/recipe/72759>\n", - " round teething biscuits for baby\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 96\n", - " <https://www.food.com/recipe/280663>\n", - " yorkhire pudding aka popovers\n", - " 0 days 00:30:00\n", - " \n", - " \n", - " 97\n", - " <https://www.food.com/recipe/78459>\n", - " ukrainian lokshyna egg noodles\n", - " 0 days 00:28:00\n", - " \n", - " \n", - " 98\n", - " <https://www.food.com/recipe/157367>\n", - " microwave baked custard\n", - " 0 days 00:26:00\n", - " \n", - " \n", - " 99\n", - " <https://www.food.com/recipe/441475>\n", - " swiss spaetzle very easy homemade noodle\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 100\n", - " <https://www.food.com/recipe/430777>\n", - " copy cat hoito finnish pancakes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 101\n", - " <https://www.food.com/recipe/111008>\n", - " flop proof crepes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 102\n", - " <https://www.food.com/recipe/400>\n", - " spaetzle german\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 103\n", - " <https://www.food.com/recipe/136571>\n", - " uncle don s swedish pancakes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 104\n", - " <https://www.food.com/recipe/368491>\n", - " unleavened bread\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 105\n", - " <https://www.food.com/recipe/112374>\n", - " bestemor s norwegian pancakes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 106\n", - " <https://www.food.com/recipe/61108>\n", - " german pancakes from the mennonite treasury o...\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 107\n", - " <https://www.food.com/recipe/350593>\n", - " super puffy german pancake\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 108\n", - " <https://www.food.com/recipe/136111>\n", - " small batch popovers\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 109\n", - " <https://www.food.com/recipe/359334>\n", - " baked finnish pancakes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 110\n", - " <https://www.food.com/recipe/189437>\n", - " 40 second omelet\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 111\n", - " <https://www.food.com/recipe/440398>\n", - " dutch baby aka german pancake or puff pancake\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 112\n", - " <https://www.food.com/recipe/127989>\n", - " puffy pancakes\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 113\n", - " <https://www.food.com/recipe/353290>\n", - " baby dutchman\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 114\n", - " <https://www.food.com/recipe/183115>\n", - " scottish crumpets\n", - " 0 days 00:25:00\n", - " \n", - " \n", - " 115\n", - " <https://www.food.com/recipe/103964>\n", - " spatzle little german noodle dumplings\n", - " 0 days 00:24:00\n", - " \n", - " \n", - " 116\n", - " <https://www.food.com/recipe/40772>\n", - " puffy oven pancake or hootin annies\n", - " 0 days 00:23:00\n", - " \n", - " \n", - " 117\n", - " <https://www.food.com/recipe/48178>\n", - " oven pancake puff\n", - " 0 days 00:22:00\n", - " \n", - " \n", - " 118\n", - " <https://www.food.com/recipe/382101>\n", - " hard boiled eggs easy to peel\n", - " 0 days 00:22:00\n", - " \n", - " \n", - " 119\n", - " <https://www.food.com/recipe/235292>\n", - " norwegian pancakes pannekaken\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 120\n", - " <https://www.food.com/recipe/438738>\n", - " german pancake puff pancake\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 121\n", - " <https://www.food.com/recipe/284620>\n", - " swedish pancakes\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 122\n", - " <https://www.food.com/recipe/120884>\n", - " heavenly scrambled eggs\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 123\n", - " <https://www.food.com/recipe/124176>\n", - " crazy pancakes\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 124\n", - " <https://www.food.com/recipe/261361>\n", - " german dumplings spaetzle or kniffles for so...\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 125\n", - " <https://www.food.com/recipe/35828>\n", - " soft custard\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 126\n", - " <https://www.food.com/recipe/503199>\n", - " easy swedish pancakes\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 127\n", - " <https://www.food.com/recipe/262038>\n", - " crepe batter\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 128\n", - " <https://www.food.com/recipe/137046>\n", - " swedish country style scrambled eggs\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 129\n", - " <https://www.food.com/recipe/12055>\n", - " crepes\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 130\n", - " <https://www.food.com/recipe/331765>\n", - " homemade spaetzle\n", - " 0 days 00:20:00\n", - " \n", - " \n", - " 131\n", - " <https://www.food.com/recipe/384137>\n", - " anya s dutch pancakes\n", - " 0 days 00:18:00\n", - " \n", - " \n", - " 132\n", - " <https://www.food.com/recipe/419998>\n", - " grandma s butter cookies\n", - " 0 days 00:18:00\n", - " \n", - " \n", - " 133\n", - " <https://www.food.com/recipe/399>\n", - " spaetzle hungarian\n", - " 0 days 00:17:00\n", - " \n", - " \n", - " 134\n", - " <https://www.food.com/recipe/200871>\n", - " scandinavian christmas crispy krumkake\n", - " 0 days 00:17:00\n", - " \n", - " \n", - " 135\n", - " <https://www.food.com/recipe/126223>\n", - " thin pancakes palacsinta\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 136\n", - " <https://www.food.com/recipe/9037>\n", - " apple and banana sauce\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 137\n", - " <https://www.food.com/recipe/320182>\n", - " simple scrambled eggs\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 138\n", - " <https://www.food.com/recipe/220141>\n", - " froise rolled pancakes\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 139\n", - " <https://www.food.com/recipe/359793>\n", - " eggs shaken not stirred\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 140\n", - " <https://www.food.com/recipe/7536>\n", - " pastry cheesecake crust\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 141\n", - " <https://www.food.com/recipe/86710>\n", - " spatzle\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 142\n", - " <https://www.food.com/recipe/160167>\n", - " boiled eggs\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 143\n", - " <https://www.food.com/recipe/96087>\n", - " fresh made manicotti or cannelloni crepes shells\n", - " 0 days 00:15:00\n", - " \n", - " \n", - " 144\n", - " <https://www.food.com/recipe/284518>\n", - " another perfect poached egg\n", - " 0 days 00:13:00\n", - " \n", - " \n", - " 145\n", - " <https://www.food.com/recipe/255748>\n", - " german pancake shreds for clear soups\n", - " 0 days 00:13:00\n", - " \n", - " \n", - " 146\n", - " <https://www.food.com/recipe/508734>\n", - " slovak egg dumplings\n", - " 0 days 00:13:00\n", - " \n", - " \n", - " 147\n", - " <https://www.food.com/recipe/268242>\n", - " single crepe\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 148\n", - " <https://www.food.com/recipe/186504>\n", - " sardi s french pancakes\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 149\n", - " <https://www.food.com/recipe/328388>\n", - " spaetzel dumplings\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 150\n", - " <https://www.food.com/recipe/93428>\n", - " simple batter for fish or veggies\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 151\n", - " <https://www.food.com/recipe/470634>\n", - " oeufs au plat\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 152\n", - " <https://www.food.com/recipe/208673>\n", - " egg filling for sushi\n", - " 0 days 00:10:00\n", - " \n", - " \n", - " 153\n", - " <https://www.food.com/recipe/201097>\n", - " basic omelet\n", - " 0 days 00:08:00\n", - " \n", - " \n", - " 154\n", - " <https://www.food.com/recipe/277824>\n", - " easy basic crepes\n", - " 0 days 00:08:00\n", - " \n", - " \n", - " 155\n", - " <https://www.food.com/recipe/327593>\n", - " anytime crepes\n", - " 0 days 00:08:00\n", - " \n", - " \n", - " 156\n", - " <https://www.food.com/recipe/163724>\n", - " perfect soft boiled eggs\n", - " 0 days 00:07:00\n", - " \n", - " \n", - " 157\n", - " <https://www.food.com/recipe/197303>\n", - " the best scrambled eggs\n", - " 0 days 00:07:00\n", - " \n", - " \n", - " 158\n", - " <https://www.food.com/recipe/271545>\n", - " kittencal s perfect poached eggs\n", - " 0 days 00:07:00\n", - " \n", - " \n", - " 159\n", - " <https://www.food.com/recipe/139989>\n", - " ruhrei mennonite scrambled eggs\n", - " 0 days 00:06:00\n", - " \n", - " \n", - " 160\n", - " <https://www.food.com/recipe/262538>\n", - " fried eggs\n", - " 0 days 00:05:00\n", - " \n", - " \n", - " 161\n", - " <https://www.food.com/recipe/482308>\n", - " basted eggs\n", - " 0 days 00:05:00\n", - " \n", - " \n", - " 162\n", - " <https://www.food.com/recipe/164636>\n", - " 1 1 1 tempura batter\n", - " 0 days 00:05:00\n", - " \n", - " \n", - " 163\n", - " <https://www.food.com/recipe/80546>\n", - " the humble fried egg\n", - " 0 days 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"17 \n", + "18 \n", + "19 \n", "\n", - " definition time \n", - "0 classic cooked eggnog 1 days 00:30:00 \n", - "1 safe eggnog 0 days 12:15:00 \n", - "2 mrs corbins butter cookies 0 days 06:15:00 \n", - "3 rooster cookies sugar cookies 0 days 04:10:00 \n", - "4 marti s homemade noodles 0 days 02:40:00 \n", - "5 hungarian noodles homemade 0 days 02:00:00 \n", - "6 2 step pound cake for a kitchen aide mixer 0 days 01:50:00 \n", - "7 crepes alton brown 0 days 01:40:00 \n", - "8 wallis crepes 0 days 01:40:00 \n", - "9 fannie farmer s pound cake 0 days 01:35:00 \n", - "10 easy homemade noodles 0 days 01:30:00 \n", - "11 all purpose dinner crepes batter 0 days 01:30:00 \n", - "12 wonton wrappers 0 days 01:30:00 \n", - "13 miss ellen s pound cake 0 days 01:30:00 \n", - "14 basic dessert crepes batter 0 days 01:30:00 \n", - "15 magic cake 0 days 01:20:00 \n", - "16 linda s perfect popovers 0 days 01:20:00 \n", - "17 dane dumplings 0 days 01:15:00 \n", - "18 sugar cookies for ceramic cookie molds 0 days 01:15:00 \n", - "19 buttery pound cake 0 days 01:15:00 \n", - "20 norwegian krumkake 0 days 01:15:00 \n", - "21 butter crepes 0 days 01:11:00 \n", - "22 giant sized popovers 0 days 01:10:00 \n", - "23 quick and easy popovers 0 days 01:10:00 \n", - "24 peach kuchen 0 days 01:10:00 \n", - "25 basic crepes ii 0 days 01:05:00 \n", - "26 leche asada 0 days 01:05:00 \n", - "27 basic crepes 0 days 01:05:00 \n", - "28 kitchen princess christmas cookies 0 days 01:00:00 \n", - "29 swabian noodles spatzle 0 days 01:00:00 \n", - "30 wonton wrappers made at home 0 days 01:00:00 \n", - "31 mama s finnish wafers 0 days 01:00:00 \n", - "32 muffin tin popovers 0 days 01:00:00 \n", - "33 rivilchas 0 days 01:00:00 \n", - "34 choux pastry for profiteroles cream puffs or... 0 days 01:00:00 \n", - "35 egg roll wrappers 0 days 01:00:00 \n", - "36 oven baked breakfast custard 0 days 00:55:00 \n", - "37 crustless baked custard pie 0 days 00:55:00 \n", - "38 greek travelling pie 0 days 00:55:00 \n", - "39 portuguese queijadas 0 days 00:55:00 \n", - "40 spritz cookies with four variations 0 days 00:51:00 \n", - "41 mel boller danish soup dumplings 0 days 00:50:00 \n", - "42 suzi s pop over puffs 0 days 00:45:00 \n", - "43 filipino lumpia wrappers 0 days 00:45:00 \n", - "44 ann s shortbread 0 days 00:45:00 \n", - "45 pate a choux 0 days 00:45:00 \n", - "46 oven scrambled eggs for a crowd 0 days 00:45:00 \n", - "47 paula deen s popovers 0 days 00:40:00 \n", - "48 our favourite belgian waffles 0 days 00:40:00 \n", - "49 oven baked sugar cones for ice cream 0 days 00:40:00 \n", - "50 choux pastry for cream puffs eclairs etc 0 days 00:40:00 \n", - "51 honey wheat popovers 0 days 00:40:00 \n", - "52 simple and basic crepe batter 0 days 00:40:00 \n", - "53 teething biscuits 0 days 00:40:00 \n", - "54 never fail popovers 0 days 00:40:00 \n", - "55 dessert puff pastry 0 days 00:40:00 \n", - "56 easy yorkshire puddings 0 days 00:40:00 \n", - "57 whole wheat popovers 0 days 00:40:00 \n", - "58 pikkuleipienperustaikina finnish butter cooki... 0 days 00:40:00 \n", - "59 jamie oliver s huge yorkshire puddings 0 days 00:40:00 \n", - "60 tjock pan kaka swedish thick pancake 0 days 00:40:00 \n", - "61 homemade pasta fettuccine 0 days 00:40:00 \n", - "62 perfect hard boiled eggs 0 days 00:40:00 \n", - "63 finnish kropser baked pancake 0 days 00:35:00 \n", - "64 plain popovers 0 days 00:35:00 \n", - "65 egg gravy swedish 0 days 00:35:00 \n", - "66 finnish kropser baked pancakes 0 days 00:35:00 \n", - "67 kielke 0 days 00:35:00 \n", - "68 croatian flour noodles 0 days 00:35:00 \n", - "69 hrudka easter cheese 0 days 00:35:00 \n", - "70 no beat popovers 0 days 00:35:00 \n", - "71 microwave creme caramel 0 days 00:35:00 \n", - "72 hootenanny pancakes 0 days 00:35:00 \n", - "73 scandinavian pancake 0 days 00:35:00 \n", - "74 swedish pancakes plattar 0 days 00:35:00 \n", - "75 flan japanese or asian style 0 days 00:31:00 \n", - "76 hong kong fortune cookies 0 days 00:30:00 \n", - "77 spaetzel 0 days 00:30:00 \n", - "78 my favorite caramel frosting 0 days 00:30:00 \n", - "79 pancake souffle 0 days 00:30:00 \n", - "80 blondies with variations 0 days 00:30:00 \n", - "81 old fashioned sponge cake 0 days 00:30:00 \n", - "82 no fail homemade noodles 0 days 00:30:00 \n", - "83 simple popovers 0 days 00:30:00 \n", - "84 german egg pancakes 0 days 00:30:00 \n", - "85 fluffy oven scrambled eggs 0 days 00:30:00 \n", - "86 perfect boiled custard 0 days 00:30:00 \n", - "87 galuska for stew dumplings 0 days 00:30:00 \n", - "88 hootenanny 0 days 00:30:00 \n", - "89 egg cheese 0 days 00:30:00 \n", - "90 belgian waffle cookies 0 days 00:30:00 \n", - "91 stamp mold butter cookies 0 days 00:30:00 \n", - "92 spaetzle dumplings 0 days 00:30:00 \n", - "93 baked eggs in bacon wraps 0 days 00:30:00 \n", - "94 plain dumplings spatzen 0 days 00:30:00 \n", - "95 round teething biscuits for baby 0 days 00:30:00 \n", - "96 yorkhire pudding aka popovers 0 days 00:30:00 \n", - "97 ukrainian lokshyna egg noodles 0 days 00:28:00 \n", - "98 microwave baked custard 0 days 00:26:00 \n", - "99 swiss spaetzle very easy homemade noodle 0 days 00:25:00 \n", - "100 copy cat hoito finnish pancakes 0 days 00:25:00 \n", - "101 flop proof crepes 0 days 00:25:00 \n", - "102 spaetzle german 0 days 00:25:00 \n", - "103 uncle don s swedish pancakes 0 days 00:25:00 \n", - "104 unleavened bread 0 days 00:25:00 \n", - "105 bestemor s norwegian pancakes 0 days 00:25:00 \n", - "106 german pancakes from the mennonite treasury o... 0 days 00:25:00 \n", - "107 super puffy german pancake 0 days 00:25:00 \n", - "108 small batch popovers 0 days 00:25:00 \n", - "109 baked finnish pancakes 0 days 00:25:00 \n", - "110 40 second omelet 0 days 00:25:00 \n", - "111 dutch baby aka german pancake or puff pancake 0 days 00:25:00 \n", - "112 puffy pancakes 0 days 00:25:00 \n", - "113 baby dutchman 0 days 00:25:00 \n", - "114 scottish crumpets 0 days 00:25:00 \n", - "115 spatzle little german noodle dumplings 0 days 00:24:00 \n", - "116 puffy oven pancake or hootin annies 0 days 00:23:00 \n", - "117 oven pancake puff 0 days 00:22:00 \n", - "118 hard boiled eggs easy to peel 0 days 00:22:00 \n", - "119 norwegian pancakes pannekaken 0 days 00:20:00 \n", - "120 german pancake puff pancake 0 days 00:20:00 \n", - "121 swedish pancakes 0 days 00:20:00 \n", - "122 heavenly scrambled eggs 0 days 00:20:00 \n", - "123 crazy pancakes 0 days 00:20:00 \n", - "124 german dumplings spaetzle or kniffles for so... 0 days 00:20:00 \n", - "125 soft custard 0 days 00:20:00 \n", - "126 easy swedish pancakes 0 days 00:20:00 \n", - "127 crepe batter 0 days 00:20:00 \n", - "128 swedish country style scrambled eggs 0 days 00:20:00 \n", - "129 crepes 0 days 00:20:00 \n", - "130 homemade spaetzle 0 days 00:20:00 \n", - "131 anya s dutch pancakes 0 days 00:18:00 \n", - "132 grandma s butter cookies 0 days 00:18:00 \n", - "133 spaetzle hungarian 0 days 00:17:00 \n", - "134 scandinavian christmas crispy krumkake 0 days 00:17:00 \n", - "135 thin pancakes palacsinta 0 days 00:15:00 \n", - "136 apple and banana sauce 0 days 00:15:00 \n", - "137 simple scrambled eggs 0 days 00:15:00 \n", - "138 froise rolled pancakes 0 days 00:15:00 \n", - "139 eggs shaken not stirred 0 days 00:15:00 \n", - "140 pastry cheesecake crust 0 days 00:15:00 \n", - "141 spatzle 0 days 00:15:00 \n", - "142 boiled eggs 0 days 00:15:00 \n", - "143 fresh made manicotti or cannelloni crepes shells 0 days 00:15:00 \n", - "144 another perfect poached egg 0 days 00:13:00 \n", - "145 german pancake shreds for clear soups 0 days 00:13:00 \n", - "146 slovak egg dumplings 0 days 00:13:00 \n", - "147 single crepe 0 days 00:10:00 \n", - "148 sardi s french pancakes 0 days 00:10:00 \n", - "149 spaetzel dumplings 0 days 00:10:00 \n", - "150 simple batter for fish or veggies 0 days 00:10:00 \n", - "151 oeufs au plat 0 days 00:10:00 \n", - "152 egg filling for sushi 0 days 00:10:00 \n", - "153 basic omelet 0 days 00:08:00 \n", - "154 easy basic crepes 0 days 00:08:00 \n", - "155 anytime crepes 0 days 00:08:00 \n", - "156 perfect soft boiled eggs 0 days 00:07:00 \n", - "157 the best scrambled eggs 0 days 00:07:00 \n", - "158 kittencal s perfect poached eggs 0 days 00:07:00 \n", - "159 ruhrei mennonite scrambled eggs 0 days 00:06:00 \n", - "160 fried eggs 0 days 00:05:00 \n", - "161 basted eggs 0 days 00:05:00 \n", - "162 1 1 1 tempura batter 0 days 00:05:00 \n", - "163 the humble fried egg 0 days 00:05:00 \n", - "164 basic crepes mix in blender 0 days 00:05:00 \n", - "165 munavoi finnish egg butter 0 days 00:05:00 \n", - "166 french vanilla crepes 0 days 00:05:00 \n", - "167 whole wheat pasta noodles 0 days 00:04:00 \n", - "168 grandma hornsby s homemade noodles 0 days 00:00:00 \n", - "169 salty milk biscuits 0 days 00:00:00 " + " definition time \n", + "0 classic cooked eggnog 1 days 00:30:00 \n", + "1 safe eggnog 0 days 12:15:00 \n", + "2 mrs corbins butter cookies 0 days 06:15:00 \n", + "3 rooster cookies sugar cookies 0 days 04:10:00 \n", + "4 marti s homemade noodles 0 days 02:40:00 \n", + "5 hungarian noodles homemade 0 days 02:00:00 \n", + "6 2 step pound cake for a kitchen aide mixer 0 days 01:50:00 \n", + "7 crepes alton brown 0 days 01:40:00 \n", + "8 wallis crepes 0 days 01:40:00 \n", + "9 fannie farmer s pound cake 0 days 01:35:00 \n", + "10 basic dessert crepes batter 0 days 01:30:00 \n", + "11 miss ellen s pound cake 0 days 01:30:00 \n", + "12 wonton wrappers 0 days 01:30:00 \n", + "13 all purpose dinner crepes batter 0 days 01:30:00 \n", + "14 easy homemade noodles 0 days 01:30:00 \n", + "15 magic cake 0 days 01:20:00 \n", + "16 linda s perfect popovers 0 days 01:20:00 \n", + "17 sugar cookies for ceramic cookie molds 0 days 01:15:00 \n", + "18 dane dumplings 0 days 01:15:00 \n", + "19 norwegian krumkake 0 days 01:15:00 " ] }, "execution_count": 9, @@ -1672,7 +471,7 @@ "pd.set_option(\"max_rows\", None)\n", "\n", "df = kg.query_as_df(sparql)\n", - "df" + "df.head(20)" ] }, { @@ -1759,413 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" crustless baked custard pie\n", - " True False\n", - "\n", - "https://www.food.com/recipe/503199\n", - " easy swedish pancakes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/60413\n", - " never fail popovers\n", + "https://www.food.com/recipe/61108\n", + " german pancakes from the mennonite treasury of recipes\n", " False False\n", "\n", - "https://www.food.com/recipe/72129\n", - " muffin tin popovers\n", + "https://www.food.com/recipe/140570\n", + " rivilchas\n", " False False\n", "\n", - "https://www.food.com/recipe/358908\n", - " mel boller danish soup dumplings\n", - " True True\n", - "\n", - "https://www.food.com/recipe/504246\n", - " finnish kropser baked pancakes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/139989\n", - " ruhrei mennonite scrambled eggs\n", - " True False\n", - "\n", - "https://www.food.com/recipe/91311\n", - " no fail homemade noodles\n", - " False True\n", - "\n", - "https://www.food.com/recipe/186892\n", - " pate a choux\n", - " True False\n", + "https://www.food.com/recipe/136571\n", + " uncle don s swedish pancakes\n", + " False False\n", "\n", "https://www.food.com/recipe/62799\n", " old fashioned sponge cake\n", " False False\n", "\n", - "https://www.food.com/recipe/103073\n", - " simple popovers\n", - " True False\n", - "\n", - "https://www.food.com/recipe/86710\n", - " spatzle\n", - " True False\n", - "\n", - "https://www.food.com/recipe/144415\n", - " spritz cookies with four variations\n", - " True False\n", - "\n", - "https://www.food.com/recipe/277824\n", - " easy basic crepes\n", - " False False\n", - "\n", - "https://www.food.com/recipe/362055\n", - " miss ellen s pound cake\n", - " True False\n", - "\n", - "https://www.food.com/recipe/137357\n", - " dane dumplings\n", - " True True\n", - "\n", - "https://www.food.com/recipe/117025\n", - " finnish kropser baked pancake\n", - " True False\n", - "\n", - "https://www.food.com/recipe/151617\n", - " sugar cookies for ceramic cookie molds\n", - " True False\n", - "\n", - "https://www.food.com/recipe/235292\n", - " norwegian pancakes pannekaken\n", - " False False\n", - "\n", "https://www.food.com/recipe/16051\n", " plain popovers\n", " False False\n", "\n", - "https://www.food.com/recipe/20191\n", - " perfect boiled custard\n", - " False False\n", - "\n", - "https://www.food.com/recipe/317697\n", - " swabian noodles spatzle\n", - " False True\n", - "\n", - "https://www.food.com/recipe/137046\n", - " swedish country style scrambled eggs\n", - " True False\n", - "\n", - "https://www.food.com/recipe/186307\n", - " suzi s pop over puffs\n", - " True False\n", - "\n", - "https://www.food.com/recipe/111008\n", - " flop proof crepes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/1079\n", - " salty milk biscuits\n", - " True False\n", - "\n", - "https://www.food.com/recipe/440398\n", - " dutch baby aka german pancake or puff pancake\n", - " True False\n", - "\n", - "https://www.food.com/recipe/424328\n", - " wonton wrappers made at home\n", - " False False\n", - "\n", - "https://www.food.com/recipe/268209\n", - " honey wheat popovers\n", - " True False\n", - "\n", - "https://www.food.com/recipe/124176\n", - " crazy pancakes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/497918\n", - " easy homemade noodles\n", - " False True\n", - "\n", - "https://www.food.com/recipe/73828\n", - " belgian waffle cookies\n", - " True False\n", - "\n", - "https://www.food.com/recipe/171106\n", - " jamie oliver s huge yorkshire puddings\n", - " False False\n", - "\n", - "https://www.food.com/recipe/489\n", - " butter crepes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/96087\n", - " fresh made manicotti or cannelloni crepes shells\n", - " False False\n", - "\n", - "https://www.food.com/recipe/183115\n", - " scottish crumpets\n", - " True False\n", - "\n", - "https://www.food.com/recipe/459\n", - " basic crepes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/186504\n", - " sardi s french pancakes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/75949\n", - " quick and easy popovers\n", - " True False\n", - "\n", - "https://www.food.com/recipe/320154\n", - " plain dumplings spatzen\n", - " False True\n", - "\n", - "https://www.food.com/recipe/123656\n", - " french vanilla crepes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/331765\n", - " homemade spaetzle\n", - " False True\n", - "\n", "https://www.food.com/recipe/77354\n", " wonton wrappers\n", " False False\n", "\n", - "https://www.food.com/recipe/124106\n", - " hungarian noodles homemade\n", - " False True\n", + "https://www.food.com/recipe/93990\n", + " egg roll wrappers\n", + " False False\n", "\n", - "https://www.food.com/recipe/368491\n", - " unleavened bread\n", + "https://www.food.com/recipe/268242\n", + " single crepe\n", " False False\n", "\n", - "https://www.food.com/recipe/183808\n", - " peach kuchen\n", - " True False\n", + "https://www.food.com/recipe/255748\n", + " german pancake shreds for clear soups\n", + " False False\n", "\n", "https://www.food.com/recipe/280663\n", " yorkhire pudding aka popovers\n", " False False\n", "\n", - "https://www.food.com/recipe/175652\n", - " swedish pancakes plattar\n", - " True False\n", - "\n", - "https://www.food.com/recipe/1975\n", - " grandma hornsby s homemade noodles\n", - " False True\n", - "\n", - "https://www.food.com/recipe/109179\n", - " easy yorkshire puddings\n", - " True False\n", - "\n", - "https://www.food.com/recipe/262038\n", - " crepe batter\n", - " True False\n", - "\n", - "https://www.food.com/recipe/103964\n", - " spatzle little german noodle dumplings\n", - " True True\n", - "\n", - "https://www.food.com/recipe/140570\n", - " rivilchas\n", + "https://www.food.com/recipe/384137\n", + " anya s dutch pancakes\n", " False False\n", "\n", - "https://www.food.com/recipe/61108\n", - " german pancakes from the mennonite treasury of recipes\n", + "https://www.food.com/recipe/60413\n", + " never fail popovers\n", " False False\n", "\n", "https://www.food.com/recipe/208673\n", " egg filling for sushi\n", " False False\n", "\n", - "https://www.food.com/recipe/252783\n", - " croatian flour noodles\n", - " True True\n", - "\n", - "https://www.food.com/recipe/221279\n", - " paula deen s popovers\n", - " False False\n", - "\n", - "https://www.food.com/recipe/441475\n", - " swiss spaetzle very easy homemade noodle\n", - " False True\n", - "\n", - "https://www.food.com/recipe/60149\n", - " kielke\n", - " False False\n", - "\n", - "https://www.food.com/recipe/93990\n", - " egg roll wrappers\n", + "https://www.food.com/recipe/368491\n", + " unleavened bread\n", " False False\n", "\n", - "https://www.food.com/recipe/284530\n", - " rooster cookies sugar cookies\n", - " True False\n", - "\n", - "https://www.food.com/recipe/458\n", - " basic crepes ii\n", - " True False\n", - "\n", - "https://www.food.com/recipe/126223\n", - " thin pancakes palacsinta\n", - " True False\n", - "\n", - "https://www.food.com/recipe/40772\n", - " puffy oven pancake or hootin annies\n", - " True False\n", - "\n", "https://www.food.com/recipe/232248\n", " hootenanny\n", " False False\n", "\n", - "https://www.food.com/recipe/170296\n", - " our favourite belgian waffles\n", - " True False\n", - "\n", - "https://www.food.com/recipe/328388\n", - " spaetzel dumplings\n", - " False True\n", - "\n", - "https://www.food.com/recipe/399\n", - " spaetzle hungarian\n", - " False True\n", - "\n", - "https://www.food.com/recipe/105830\n", - " no beat popovers\n", + "https://www.food.com/recipe/424328\n", + " wonton wrappers made at home\n", " False False\n", "\n", - "https://www.food.com/recipe/109196\n", - " galuska for stew dumplings\n", - " True True\n", - "\n", - "https://www.food.com/recipe/137158\n", - " pikkuleipienperustaikina finnish butter cookie dough\n", - " True False\n", - "\n", - "https://www.food.com/recipe/78459\n", - " ukrainian lokshyna egg noodles\n", - " False True\n", + "https://www.food.com/recipe/60149\n", + " kielke\n", + " False False\n", "\n", - "https://www.food.com/recipe/430777\n", - " copy cat hoito finnish pancakes\n", - " True False\n", + "https://www.food.com/recipe/221279\n", + " paula deen s popovers\n", + " False False\n", "\n", - "https://www.food.com/recipe/268242\n", - " single crepe\n", + "https://www.food.com/recipe/72129\n", + " muffin tin popovers\n", " False False\n", "\n", "https://www.food.com/recipe/136111\n", " small batch popovers\n", " False False\n", "\n", - "https://www.food.com/recipe/31041\n", - " marti s homemade noodles\n", - " False True\n", - "\n", - "https://www.food.com/recipe/359334\n", - " baked finnish pancakes\n", - " True False\n", - "\n", - "https://www.food.com/recipe/120884\n", - " heavenly scrambled eggs\n", - " True False\n", - "\n", - "https://www.food.com/recipe/216474\n", - " giant sized popovers\n", - " True False\n", - "\n", - "https://www.food.com/recipe/157638\n", - " hootenanny pancakes\n", - " True False\n", + "https://www.food.com/recipe/235292\n", + " norwegian pancakes pannekaken\n", + " False False\n", "\n", - "https://www.food.com/recipe/173544\n", - " whole wheat popovers\n", - " True False\n", + "https://www.food.com/recipe/20191\n", + " perfect boiled custard\n", + " False False\n", "\n", - "https://www.food.com/recipe/15984\n", - " egg gravy swedish\n", - " True False\n", + "https://www.food.com/recipe/171106\n", + " jamie oliver s huge yorkshire puddings\n", + " False False\n", "\n", - "https://www.food.com/recipe/255748\n", - " german pancake shreds for clear soups\n", + "https://www.food.com/recipe/96087\n", + " fresh made manicotti or cannelloni crepes shells\n", " False False\n", "\n", - "https://www.food.com/recipe/4643\n", - " tjock pan kaka swedish thick pancake\n", - " True False\n", + "https://www.food.com/recipe/105830\n", + " no beat popovers\n", + " False False\n", "\n" ] } @@ -2182,7 +681,8 @@ " sez_noodle = any([x in recipe_name for x in [\"noodle\", \"spaetzle\", \"dumpling\", \"pasta\"]])\n", " tally.append(str([ has_butter, sez_noodle ]))\n", "\n", - " print(\"{}\\n {}\\n {} {}\\n\".format(url, recipe_name, has_butter, sez_noodle))" + " if not has_butter and not sez_noodle:\n", + " print(\"{}\\n {}\\n {} {}\\n\".format(url, recipe_name, has_butter, sez_noodle))" ] }, { @@ -2202,8 +702,8 @@ "text/plain": [ "Counter({'[True, False]': 53,\n", " '[True, True]': 7,\n", - " '[False, True]': 15,\n", - " '[False, False]': 27})" + " '[False, False]': 27,\n", + " '[False, True]': 15})" ] }, "execution_count": 13, diff --git a/examples/ex6_0.ipynb b/examples/ex6_0.ipynb index cfd0763..e3539a0 100644 --- a/examples/ex6_0.ipynb +++ b/examples/ex6_0.ipynb @@ -65,7 +65,6 @@ "kg = kglab.KnowledgeGraph(\n", " name = \"A recipe KG example based on Food.com\",\n", " base_uri = \"https://www.food.com/recipe/\",\n", - " language = \"en\",\n", " namespaces = namespaces,\n", " )\n", "\n", @@ -114,3248 +113,7 @@ "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0: \n", - " 1: ind:ChickenEgg\n", - "\n", - "0: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "0: \n", - " 3: ind:Water\n", - "\n", - "0: \n", - " 4: ind:Butter\n", - "\n", - "5: \n", - " 6: ind:WhiteSugar\n", - "\n", - "5: \n", - " 7: ind:Salt\n", - "\n", - "5: \n", - " 1: ind:ChickenEgg\n", - "\n", - "5: \n", - " 8: ind:CowMilk\n", - "\n", - "5: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "9: \n", - " 4: ind:Butter\n", - "\n", - "9: \n", - " 8: ind:CowMilk\n", - "\n", - "9: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "9: \n", - " 1: ind:ChickenEgg\n", - "\n", - "10: \n", - " 1: ind:ChickenEgg\n", - "\n", - "10: \n", - " 6: ind:WhiteSugar\n", - "\n", - "10: \n", - " 7: ind:Salt\n", - "\n", - "10: \n", - " 11: ind:VanillaExtract\n", - "\n", - "10: \n", - " 8: ind:CowMilk\n", - "\n", - "12: \n", - " 1: ind:ChickenEgg\n", - "\n", - "12: \n", - " 7: ind:Salt\n", - "\n", - "12: \n", - " 3: ind:Water\n", - "\n", - "12: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "13: \n", - " 1: ind:ChickenEgg\n", - "\n", - "13: \n", - " 8: ind:CowMilk\n", - "\n", - "13: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "14: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "14: \n", - " 6: ind:WhiteSugar\n", - "\n", - "14: \n", - " 7: ind:Salt\n", - "\n", - "14: \n", - " 11: ind:VanillaExtract\n", - "\n", - "14: \n", - " 4: ind:Butter\n", - "\n", - "15: \n", - " 1: ind:ChickenEgg\n", - "\n", - "15: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "15: \n", - " 3: ind:Water\n", - "\n", - "16: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "16: \n", - " 6: ind:WhiteSugar\n", - "\n", - "16: \n", - " 8: ind:CowMilk\n", - "\n", - "16: \n", - " 1: ind:ChickenEgg\n", - "\n", - "16: \n", - " 11: ind:VanillaExtract\n", - "\n", - "16: \n", - " 4: ind:Butter\n", - "\n", - "17: \n", - " 3: ind:Water\n", - "\n", - "17: \n", - " 1: ind:ChickenEgg\n", - "\n", - "17: \n", - " 4: ind:Butter\n", - "\n", - "18: \n", - " 11: ind:VanillaExtract\n", - "\n", - "18: \n", - " 7: ind:Salt\n", - "\n", - "18: \n", - " 6: ind:WhiteSugar\n", - "\n", - "18: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "18: \n", - " 1: ind:ChickenEgg\n", - "\n", - "18: \n", - " 8: ind:CowMilk\n", - "\n", - "19: \n", - " 3: ind:Water\n", - "\n", - "19: \n", - " 11: ind:VanillaExtract\n", - "\n", - "19: \n", - " 6: ind:WhiteSugar\n", - "\n", - "19: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "19: \n", - " 1: ind:ChickenEgg\n", - "\n", - "19: \n", - " 4: ind:Butter\n", - "\n", - "20: \n", - " 4: ind:Butter\n", - "\n", - "20: \n", - " 8: ind:CowMilk\n", - "\n", - "20: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "20: \n", - " 7: ind:Salt\n", - "\n", - "20: \n", - " 1: ind:ChickenEgg\n", - "\n", - "21: \n", - " 3: ind:Water\n", - "\n", - "21: \n", - " 1: ind:ChickenEgg\n", - "\n", - "21: \n", - " 7: ind:Salt\n", - "\n", - "22: \n", - " 7: ind:Salt\n", - "\n", - "22: 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ind:AllPurposeFlour\n", - "\n", - "132: \n", - " 7: ind:Salt\n", - "\n", - "132: \n", - " 1: ind:ChickenEgg\n", - "\n", - "133: \n", - " 4: ind:Butter\n", - "\n", - "133: \n", - " 6: ind:WhiteSugar\n", - "\n", - "133: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "134: \n", - " 1: ind:ChickenEgg\n", - "\n", - "134: \n", - " 4: ind:Butter\n", - "\n", - "134: \n", - " 8: ind:CowMilk\n", - "\n", - "134: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "135: \n", - " 4: ind:Butter\n", - "\n", - "135: \n", - " 1: ind:ChickenEgg\n", - "\n", - "135: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "135: \n", - " 8: ind:CowMilk\n", - "\n", - "135: \n", - " 6: ind:WhiteSugar\n", - "\n", - "135: \n", - " 7: ind:Salt\n", - "\n", - "136: \n", - " 4: ind:Butter\n", - "\n", - "136: \n", - " 11: ind:VanillaExtract\n", - "\n", - "136: \n", - " 1: ind:ChickenEgg\n", - "\n", - "136: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "136: \n", - " 8: ind:CowMilk\n", - "\n", - "136: \n", - " 6: ind:WhiteSugar\n", - 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\n", - " 4: ind:Butter\n", - "\n", - "151: \n", - " 8: ind:CowMilk\n", - "\n", - "151: \n", - " 6: ind:WhiteSugar\n", - "\n", - "151: \n", - " 3: ind:Water\n", - "\n", - "151: \n", - " 1: ind:ChickenEgg\n", - "\n", - "151: \n", - " 11: ind:VanillaExtract\n", - "\n", - "152: \n", - " 11: ind:VanillaExtract\n", - "\n", - "152: \n", - " 4: ind:Butter\n", - "\n", - "152: \n", - " 6: ind:WhiteSugar\n", - "\n", - "152: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "152: \n", - " 1: ind:ChickenEgg\n", - "\n", - "153: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "153: \n", - " 6: ind:WhiteSugar\n", - "\n", - "153: \n", - " 7: ind:Salt\n", - "\n", - "153: \n", - " 1: ind:ChickenEgg\n", - "\n", - "153: \n", - " 4: ind:Butter\n", - "\n", - "154: \n", - " 4: ind:Butter\n", - "\n", - "154: \n", - " 7: ind:Salt\n", - "\n", - "154: \n", - " 1: ind:ChickenEgg\n", - "\n", - "154: \n", - " 8: ind:CowMilk\n", - "\n", - "154: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "155: \n", - " 28: 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ind:BrownSugar\n", - "\n", - "173: \n", - " 4: ind:Butter\n", - "\n", - "173: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "174: \n", - " 4: ind:Butter\n", - "\n", - "174: \n", - " 6: ind:WhiteSugar\n", - "\n", - "174: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "175: \n", - " 1: ind:ChickenEgg\n", - "\n", - "175: \n", - " 7: ind:Salt\n", - "\n", - "175: \n", - " 3: ind:Water\n", - "\n", - "176: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "176: \n", - " 4: ind:Butter\n", - "\n", - "176: \n", - " 8: ind:CowMilk\n", - "\n", - "177: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "177: \n", - " 7: ind:Salt\n", - "\n", - "177: \n", - " 8: ind:CowMilk\n", - "\n", - "177: \n", - " 4: ind:Butter\n", - "\n", - "177: \n", - " 1: ind:ChickenEgg\n", - "\n", - "178: \n", - " 8: ind:CowMilk\n", - "\n", - "178: \n", - " 4: ind:Butter\n", - "\n", - "178: \n", - " 7: ind:Salt\n", - "\n", - "178: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "178: \n", - " 1: ind:ChickenEgg\n", - "\n", - "179: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "179: \n", - " 8: ind:CowMilk\n", - "\n", - "179: \n", - " 4: ind:Butter\n", - "\n", - "179: \n", - " 7: ind:Salt\n", - "\n", - "180: \n", - " 4: ind:Butter\n", - "\n", - "180: \n", - " 8: ind:CowMilk\n", - "\n", - "180: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "180: \n", - " 7: ind:Salt\n", - "\n", - "180: \n", - " 6: ind:WhiteSugar\n", - "\n", - "180: \n", - " 11: ind:VanillaExtract\n", - "\n", - "180: \n", - " 1: ind:ChickenEgg\n", - "\n", - "181: \n", - " 1: ind:ChickenEgg\n", - "\n", - "181: \n", - " 11: ind:VanillaExtract\n", - "\n", - "181: \n", - " 4: ind:Butter\n", - "\n", - "181: \n", - " 7: ind:Salt\n", - "\n", - "181: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "181: \n", - " 6: ind:WhiteSugar\n", - "\n", - "182: \n", - " 6: ind:WhiteSugar\n", - "\n", - "182: \n", - " 1: ind:ChickenEgg\n", - "\n", - "182: \n", - " 4: ind:Butter\n", - "\n", - "182: \n", - " 8: ind:CowMilk\n", - "\n", - "182: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "182: \n", - " 7: ind:Salt\n", - "\n", - "183: \n", - " 1: ind:ChickenEgg\n", - "\n", - "183: \n", - " 8: ind:CowMilk\n", - "\n", - "183: \n", - " 7: ind:Salt\n", - "\n", - "183: \n", - " 6: ind:WhiteSugar\n", - "\n", - "183: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "184: \n", - " 8: ind:CowMilk\n", - "\n", - "184: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "184: \n", - " 7: ind:Salt\n", - "\n", - "184: \n", - " 24: ind:BlackPepper\n", - "\n", - "184: \n", - " 4: ind:Butter\n", - "\n", - "185: \n", - " 8: ind:CowMilk\n", - "\n", - "185: \n", - " 7: ind:Salt\n", - "\n", - "185: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "185: \n", - " 6: ind:WhiteSugar\n", - "\n", - "185: \n", - " 1: ind:ChickenEgg\n", - "\n", - "185: \n", - " 11: ind:VanillaExtract\n", - "\n", - "185: \n", - " 4: ind:Butter\n", - "\n", - "186: \n", - " 3: ind:Water\n", - "\n", - "186: \n", - " 7: ind:Salt\n", - "\n", - "186: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "186: \n", - " 4: ind:Butter\n", - "\n", - "186: \n", - " 1: ind:ChickenEgg\n", - "\n", - "187: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "187: \n", - " 8: ind:CowMilk\n", - "\n", - "187: \n", - " 7: ind:Salt\n", - "\n", - "187: \n", - " 1: ind:ChickenEgg\n", - "\n", - "188: \n", - " 4: ind:Butter\n", - "\n", - "188: \n", - " 7: ind:Salt\n", - "\n", - "188: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "188: \n", - " 1: ind:ChickenEgg\n", - "\n", - "188: \n", - " 8: ind:CowMilk\n", - "\n", - "189: \n", - " 1: ind:ChickenEgg\n", - "\n", - "189: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "189: \n", - " 6: ind:WhiteSugar\n", - "\n", - "189: \n", - " 7: ind:Salt\n", - "\n", - "189: \n", - " 8: ind:CowMilk\n", - "\n", - "189: \n", - " 4: ind:Butter\n", - "\n", - "190: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "190: \n", - " 7: ind:Salt\n", - "\n", - "190: \n", - " 6: ind:WhiteSugar\n", - "\n", - "190: \n", - " 1: ind:ChickenEgg\n", - "\n", - "190: \n", - " 8: ind:CowMilk\n", - "\n", - "191: \n", - " 4: ind:Butter\n", - "\n", - "191: \n", - " 6: ind:WhiteSugar\n", - "\n", - "191: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "192: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "192: \n", - " 8: ind:CowMilk\n", - "\n", - "192: \n", - " 6: ind:WhiteSugar\n", - "\n", - "193: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "193: \n", - " 194: ind:Bacon\n", - "\n", - "193: \n", - " 40: ind:BrownSugar\n", - "\n", - "193: \n", - " 24: ind:BlackPepper\n", - "\n", - "195: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "195: \n", - " 6: ind:WhiteSugar\n", - "\n", - "195: \n", - " 1: ind:ChickenEgg\n", - "\n", - "195: \n", - " 4: ind:Butter\n", - "\n", - "195: \n", - " 3: ind:Water\n", - "\n", - "196: \n", - " 24: ind:BlackPepper\n", - "\n", - "196: \n", - " 1: ind:ChickenEgg\n", - "\n", - "196: \n", - " 7: ind:Salt\n", - "\n", - "196: \n", - " 194: ind:Bacon\n", - "\n", - "197: \n", - " 8: ind:CowMilk\n", - "\n", - "197: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "197: \n", - " 6: ind:WhiteSugar\n", - "\n", - "197: \n", - " 7: ind:Salt\n", - "\n", - "197: \n", - " 11: ind:VanillaExtract\n", - "\n", - "197: \n", - " 1: ind:ChickenEgg\n", - "\n", - "198: \n", - " 3: ind:Water\n", - "\n", - "198: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "198: \n", - " 8: ind:CowMilk\n", - "\n", - "198: \n", - " 4: ind:Butter\n", - "\n", - "198: \n", - " 1: ind:ChickenEgg\n", - "\n", - "199: \n", - " 4: ind:Butter\n", - "\n", - "199: \n", - " 6: ind:WhiteSugar\n", - "\n", - "199: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "200: \n", - " 4: ind:Butter\n", - "\n", - "200: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "200: \n", - " 40: ind:BrownSugar\n", - "\n", - "201: \n", - " 3: ind:Water\n", - "\n", - "201: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "201: \n", - " 6: ind:WhiteSugar\n", - "\n", - "201: \n", - " 1: ind:ChickenEgg\n", - "\n", - "201: \n", - " 4: ind:Butter\n", - "\n", - "201: \n", - " 8: ind:CowMilk\n", - "\n", - "202: \n", - " 1: ind:ChickenEgg\n", - "\n", - "202: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "202: \n", - " 7: ind:Salt\n", - "\n", - "203: \n", - " 4: ind:Butter\n", - "\n", - "203: \n", - " 8: ind:CowMilk\n", - "\n", - "203: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "203: \n", - " 7: ind:Salt\n", - "\n", - "204: \n", - " 3: ind:Water\n", - "\n", - "204: \n", - " 4: ind:Butter\n", - "\n", - "204: \n", - " 6: ind:WhiteSugar\n", - "\n", - "205: \n", - " 11: ind:VanillaExtract\n", - "\n", - "205: \n", - " 30: ind:AppleCiderVinegar\n", - "\n", - "205: \n", - " 6: ind:WhiteSugar\n", - "\n", - "205: \n", - " 4: ind:Butter\n", - "\n", - "206: \n", - " 4: ind:Butter\n", - "\n", - "206: \n", - " 1: ind:ChickenEgg\n", - "\n", - "206: \n", - " 7: ind:Salt\n", - "\n", - "206: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "206: \n", - " 6: ind:WhiteSugar\n", - "\n", - "206: \n", - " 8: ind:CowMilk\n", - "\n", - "207: \n", - " 6: ind:WhiteSugar\n", - "\n", - "207: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "207: \n", - " 4: ind:Butter\n", - "\n", - "208: \n", - " 8: ind:CowMilk\n", - "\n", - "208: \n", - " 1: ind:ChickenEgg\n", - "\n", - "208: \n", - " 28: ind:WholeWheatFlour\n", - "\n", - "209: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "209: \n", - " 7: ind:Salt\n", - "\n", - "209: \n", - " 3: ind:Water\n", - "\n", - "209: \n", - " 59: ind:OliveOil\n", - "\n", - "209: \n", - " 1: ind:ChickenEgg\n", - "\n", - "210: \n", - " 194: ind:Bacon\n", - "\n", - "210: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "210: \n", - " 24: ind:BlackPepper\n", - "\n", - "210: \n", - " 40: ind:BrownSugar\n", - "\n", - "211: \n", - " 4: ind:Butter\n", - "\n", - "211: \n", - " 3: ind:Water\n", - "\n", - "211: \n", - " 7: ind:Salt\n", - "\n", - "211: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "212: \n", - " 3: ind:Water\n", - "\n", - "212: \n", - " 7: ind:Salt\n", - "\n", - "212: \n", - " 1: ind:ChickenEgg\n", - "\n", - "212: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "213: \n", - " 8: ind:CowMilk\n", - "\n", - "213: \n", - " 1: ind:ChickenEgg\n", - "\n", - "213: \n", - " 6: ind:WhiteSugar\n", - "\n", - "213: \n", - " 3: ind:Water\n", - "\n", - "214: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "214: \n", - " 7: ind:Salt\n", - "\n", - "214: \n", - " 8: ind:CowMilk\n", - "\n", - "214: \n", - " 4: ind:Butter\n", - "\n", - "214: \n", - " 1: ind:ChickenEgg\n", - "\n", - "215: \n", - " 30: ind:AppleCiderVinegar\n", - "\n", - "215: \n", - " 1: ind:ChickenEgg\n", - "\n", - "215: \n", - " 7: ind:Salt\n", - "\n", - "215: \n", - " 3: ind:Water\n", - "\n", - "216: \n", - " 7: ind:Salt\n", - "\n", - "216: \n", - " 28: ind:WholeWheatFlour\n", - "\n", - "216: \n", - " 3: ind:Water\n", - "\n", - "217: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "217: \n", - " 7: ind:Salt\n", - "\n", - "217: \n", - " 1: ind:ChickenEgg\n", - "\n", - "217: \n", - " 4: ind:Butter\n", - "\n", - "217: \n", - " 8: ind:CowMilk\n", - "\n", - "218: \n", - " 4: ind:Butter\n", - "\n", - "218: \n", - " 8: ind:CowMilk\n", - "\n", - "218: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "218: \n", - " 7: ind:Salt\n", - "\n", - "218: \n", - " 1: ind:ChickenEgg\n", - "\n", - "219: \n", - " 4: ind:Butter\n", - "\n", - "219: \n", - " 8: ind:CowMilk\n", - "\n", - "219: \n", - " 7: ind:Salt\n", - "\n", - "219: \n", - " 6: ind:WhiteSugar\n", - "\n", - "219: \n", - " 1: ind:ChickenEgg\n", - "\n", - "220: \n", - " 6: ind:WhiteSugar\n", - "\n", - "220: \n", - " 4: ind:Butter\n", - "\n", - "220: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "221: \n", - " 4: ind:Butter\n", - "\n", - "221: \n", - " 7: ind:Salt\n", - "\n", - "221: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "221: \n", - " 8: ind:CowMilk\n", - "\n", - "221: \n", - " 1: ind:ChickenEgg\n", - "\n", - "222: \n", - " 4: ind:Butter\n", - "\n", - "222: \n", - " 1: ind:ChickenEgg\n", - "\n", - "222: \n", - " 7: ind:Salt\n", - "\n", - "222: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "222: \n", - " 8: ind:CowMilk\n", - "\n", - "223: \n", - " 7: ind:Salt\n", - "\n", - "223: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "223: \n", - " 8: ind:CowMilk\n", - "\n", - "223: \n", - " 4: ind:Butter\n", - "\n", - "223: \n", - " 1: ind:ChickenEgg\n", - "\n", - "224: \n", - " 8: ind:CowMilk\n", - "\n", - "224: \n", - " 4: ind:Butter\n", - "\n", - "224: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "224: \n", - " 1: ind:ChickenEgg\n", - "\n", - "225: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "225: \n", - " 6: ind:WhiteSugar\n", - "\n", - "225: \n", - " 4: ind:Butter\n", - "\n", - "226: \n", - " 3: ind:Water\n", - "\n", - "226: \n", - " 6: ind:WhiteSugar\n", - "\n", - "226: \n", - " 7: ind:Salt\n", - "\n", - "226: \n", - " 11: ind:VanillaExtract\n", - "\n", - "227: \n", - " 11: ind:VanillaExtract\n", - "\n", - "227: \n", - " 6: ind:WhiteSugar\n", - "\n", - "227: \n", - " 8: ind:CowMilk\n", - "\n", - "228: \n", - " 8: ind:CowMilk\n", - "\n", - "228: \n", - " 7: ind:Salt\n", - "\n", - "228: \n", - " 6: ind:WhiteSugar\n", - "\n", - "228: \n", - " 1: ind:ChickenEgg\n", - "\n", - "228: \n", - " 11: ind:VanillaExtract\n", - "\n", - "229: \n", - " 8: ind:CowMilk\n", - "\n", - "229: \n", - " 6: ind:WhiteSugar\n", - "\n", - "229: \n", - " 11: ind:VanillaExtract\n", - "\n", - "230: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "230: \n", - " 1: ind:ChickenEgg\n", - "\n", - "230: \n", - " 8: ind:CowMilk\n", - "\n", - "230: \n", - " 7: ind:Salt\n", - "\n", - "231: \n", - " 1: ind:ChickenEgg\n", - "\n", - "231: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "231: \n", - " 8: ind:CowMilk\n", - "\n", - "231: \n", - " 7: ind:Salt\n", - "\n", - "232: \n", - " 1: ind:ChickenEgg\n", - "\n", - "232: \n", - " 4: ind:Butter\n", - "\n", - "232: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "232: \n", - " 7: ind:Salt\n", - "\n", - "232: \n", - " 8: ind:CowMilk\n", - "\n", - "232: \n", - " 6: ind:WhiteSugar\n", - "\n", - "233: \n", - " 28: ind:WholeWheatFlour\n", - "\n", - "233: \n", - " 6: ind:WhiteSugar\n", - "\n", - "233: \n", - " 7: ind:Salt\n", - "\n", - "233: \n", - " 3: ind:Water\n", - "\n", - "233: \n", - " 11: ind:VanillaExtract\n", - "\n", - "233: \n", - " 4: ind:Butter\n", - "\n", - "234: \n", - " 4: ind:Butter\n", - "\n", - "234: \n", - " 6: ind:WhiteSugar\n", - "\n", - "234: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "235: \n", - " 7: ind:Salt\n", - "\n", - "235: \n", - " 1: ind:ChickenEgg\n", - "\n", - "235: \n", - " 24: ind:BlackPepper\n", - "\n", - "235: \n", - " 4: ind:Butter\n", - "\n", - "236: \n", - " 1: ind:ChickenEgg\n", - "\n", - "236: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "236: \n", - " 11: ind:VanillaExtract\n", - "\n", - "236: \n", - " 6: ind:WhiteSugar\n", - "\n", - "237: \n", - " 1: ind:ChickenEgg\n", - "\n", - "237: \n", - " 7: ind:Salt\n", - "\n", - "237: \n", - " 4: ind:Butter\n", - "\n", - "238: \n", - " 8: ind:CowMilk\n", - "\n", - "238: \n", - " 7: ind:Salt\n", - "\n", - "238: \n", - " 1: ind:ChickenEgg\n", - "\n", - "238: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "239: \n", - " 4: ind:Butter\n", - "\n", - "239: \n", - " 1: ind:ChickenEgg\n", - "\n", - "239: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "239: \n", - " 11: ind:VanillaExtract\n", - "\n", - "239: \n", - " 7: ind:Salt\n", - "\n", - "239: \n", - " 6: ind:WhiteSugar\n", - "\n", - "239: \n", - " 8: ind:CowMilk\n", - "\n", - "240: \n", - " 7: ind:Salt\n", - "\n", - "240: \n", - " 30: ind:AppleCiderVinegar\n", - "\n", - "240: \n", - " 8: ind:CowMilk\n", - "\n", - "241: \n", - " 3: ind:Water\n", - "\n", - "241: \n", - " 7: ind:Salt\n", - "\n", - "241: \n", - " 1: ind:ChickenEgg\n", - "\n", - "242: \n", - " 7: ind:Salt\n", - "\n", - "242: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "242: \n", - " 8: ind:CowMilk\n", - "\n", - "242: \n", - " 1: ind:ChickenEgg\n", - "\n", - "242: \n", - " 4: ind:Butter\n", - "\n", - "243: \n", - " 11: ind:VanillaExtract\n", - "\n", - "243: \n", - " 6: ind:WhiteSugar\n", - "\n", - "243: \n", - " 8: ind:CowMilk\n", - "\n", - "243: \n", - " 7: ind:Salt\n", - "\n", - "243: \n", - " 1: ind:ChickenEgg\n", - "\n", - "244: \n", - " 1: ind:ChickenEgg\n", - "\n", - "244: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "244: \n", - " 7: ind:Salt\n", - "\n", - "244: \n", - " 3: ind:Water\n", - "\n", - "244: \n", - " 4: ind:Butter\n", - "\n", - "245: \n", - " 8: ind:CowMilk\n", - "\n", - "245: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "245: \n", - " 7: ind:Salt\n", - "\n", - "245: \n", - " 1: ind:ChickenEgg\n", - "\n", - "246: \n", - " 8: ind:CowMilk\n", - "\n", - "246: \n", - " 24: ind:BlackPepper\n", - "\n", - "246: \n", - " 7: ind:Salt\n", - "\n", - "246: \n", - " 1: ind:ChickenEgg\n", - "\n", - "247: \n", - " 8: ind:CowMilk\n", - "\n", - "247: \n", - " 4: ind:Butter\n", - "\n", - "247: \n", - " 1: ind:ChickenEgg\n", - "\n", - "247: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "247: \n", - " 6: ind:WhiteSugar\n", - "\n", - "248: \n", - " 4: ind:Butter\n", - "\n", - "248: \n", - " 3: ind:Water\n", - "\n", - "248: \n", - " 1: ind:ChickenEgg\n", - "\n", - "248: \n", - " 8: ind:CowMilk\n", - "\n", - "248: \n", - " 6: ind:WhiteSugar\n", - "\n", - "248: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "249: \n", - " 1: ind:ChickenEgg\n", - "\n", - "249: \n", - " 8: ind:CowMilk\n", - "\n", - "249: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "250: \n", - " 4: ind:Butter\n", - "\n", - "250: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "250: \n", - " 1: ind:ChickenEgg\n", - "\n", - "250: \n", - " 8: ind:CowMilk\n", - "\n", - "250: \n", - " 7: ind:Salt\n", - "\n", - "250: \n", - " 6: ind:WhiteSugar\n", - "\n", - "251: \n", - " 59: ind:OliveOil\n", - "\n", - "251: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "251: \n", - " 3: ind:Water\n", - "\n", - "251: \n", - " 7: ind:Salt\n", - "\n", - "252: \n", - " 4: ind:Butter\n", - "\n", - "252: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "252: \n", - " 7: ind:Salt\n", - "\n", - "252: \n", - " 8: ind:CowMilk\n", - "\n", - "252: \n", - " 6: ind:WhiteSugar\n", - "\n", - "252: \n", - " 28: ind:WholeWheatFlour\n", - "\n", - "253: \n", - " 3: ind:Water\n", - "\n", - "253: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "253: \n", - " 7: ind:Salt\n", - "\n", - "254: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "254: \n", - " 7: ind:Salt\n", - "\n", - "254: \n", - " 8: ind:CowMilk\n", - "\n", - "254: \n", - " 4: ind:Butter\n", - "\n", - "254: \n", - " 24: ind:BlackPepper\n", - "\n", - "255: \n", - " 2: ind:AllPurposeFlour\n", - "\n", - "255: \n", - " 7: ind:Salt\n", - "\n", - "255: \n", - " 1: ind:ChickenEgg\n", - "\n", - "255: \n", - " 4: ind:Butter\n", - "\n", - "255: \n", - " 8: ind:CowMilk\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "import networkx as nx\n", "\n", @@ -3369,7 +127,7 @@ " o_id = subgraph.transform(row.ingredient)\n", " o_label = subgraph.get_name(row.ingredient)\n", "\n", - " print(\"{}: {}\\n {}: {}\\n\".format(s_id, s_label, o_id, o_label))\n", + " #print(\"{}: {}\\n {}: {}\\n\".format(s_id, s_label, o_id, o_label))\n", "\n", " g.add_node(s_id, bipartite=0)\n", " g.add_node(o_id, bipartite=1)\n", @@ -3474,19 +232,19 @@ "output_type": "stream", "text": [ " ind:ChickenEgg\n", - " ind:AllPurposeFlour\n", " ind:Water\n", - " ind:CowMilk\n", - " ind:WhiteSugar\n", - " ind:Salt\n", - " ind:VanillaExtract\n", - " ind:BlackPepper\n", - " ind:BrownSugar\n", - " ind:OliveOil\n", - " ind:AppleCiderVinegar\n", + " ind:AllPurposeFlour\n", + " ind:Salt\n", + " ind:OliveOil\n", " ind:Garlic\n", - " ind:Honey\n", - " ind:WholeWheatFlour\n" + " ind:CowMilk\n", + " ind:WhiteSugar\n", + " ind:VanillaExtract\n", + " ind:BlackPepper\n", + " ind:AppleCiderVinegar\n", + " ind:BrownSugar\n", + " ind:WholeWheatFlour\n", + " ind:Honey\n" ] } ], @@ -3532,10 +290,10 @@ "output_type": "stream", "text": [ "recipes\n", - " {0, 5, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255} \n", + " {0, 5, 9, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255} \n", "\n", "ingredients\n", - " {1, 2, 3, 4, 194, 6, 7, 8, 40, 11, 120, 60, 24, 59, 28, 30}\n" + " {1, 2, 3, 4, 36, 6, 7, 8, 10, 11, 12, 50, 20, 21, 22, 123}\n" ] } ], @@ -3624,11 +382,11 @@ " 0.212 ind:VanillaExtract\n", " 0.059 ind:BlackPepper\n", " 0.043 ind:BrownSugar\n", - " 0.035 ind:WholeWheatFlour\n", " 0.035 ind:OliveOil\n", + " 0.035 ind:WholeWheatFlour\n", " 0.024 ind:AppleCiderVinegar\n", - " 0.012 ind:Honey\n", " 0.012 ind:Bacon\n", + " 0.012 ind:Honey\n", " 0.008 ind:Garlic\n" ] } @@ -3659,7 +417,7 @@ "outputs": [ { "data": { - "image/png": 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g6OjY7XPKZDIcHR3x8/MjOjqaCRMmMGbMGJydnWlsbKSpqYmamhpAuCJ3d3fH0dERVQ/9S2UyGcOGDcPR0ZFdu3bh7u6Ot7f3gN4PiXsLFxcXLl26ZPP9sVgsOHp6MvmDD4TShIwM4UL3ZuvP2VloK7hunVC3Fx195zd84QL84x8DL7mwtxcyPqdMub37+okjWXy3wmKBRx4ROjP0x9Ugk2Hw8OAfTz2FrpeBlf7+/tx3330EBARQUVFBYWEhN27cAAS3nnV+XXeEhYVRX1/P6tWrqaqq4uDBg/16adHR0WTfdCUZFRXFww8/DEB7ezuHDh3i2rVrWCwWoqOjMZvN5ObmYjKZsLe3JyoqCrVaTVZWFs7OzsTFxREXF4ebm1u/9vLNN9/Q1NREUVERDg4OyOVylEqljXvU29u7S1yvsrKS7du3Exsby6xZs6S4n0SPZGZmkpiYSHBwMNevX7e5b9GiRf9uxWexCPMxP/9csJY6OoTG8wkJwrmghwu8O8LDD8OOHULpwkDx8xOaaEjfDRFJ+PpCR4fg8jxzpm/ip1BgcXNj50svkdXD23uzq1KhUDBixAhGjRpFeHg4x44do6SkBCcnJ27cuGHT5HnlypXExMRgNpt5++23eeGFF3B2duZPf/pTv92fbm5ujBo1itOnT9v8fvXq1cTGxgKCdXn27FlSU1NpbW0lJCSEuLg4UlNTRResl5cXY8eOpa6ujuvXr+Pl5UVcXByxsbF9Gjbb2trKxo0bCQwMJDs7m4ULFzJs2DAb92hLSwsBAQGiGAYGBqJSqaS4n0SvtLe3k5SURElJCStXriQgIIBPP/2U4uJi8Zj//M//7DF5667i7Dzo5DqcnIRYpJQNLSIJX18xmYQsqU2bhCun7gTQzk5whcTF8fmyZRT2QYQ8PT3RaDSiW1OpVKJUKrGzs2PKlClMnDgRs9nMp59+SkVFBSaTCaVSibe3N2FhYZSXlxMZGcmkSZOoqKjgo48+6vdLs7OzY+HChaSlpVFZWSm6gRQKBS+//LJNwXp2djaHDx+moaEBLy8vZs+eTX5+PleuXMFoNGJnZ0dMTAzDhw8nNzeX3NxcAgMDiYuLIzo6GoceiuwBrl69SmpqKlqtFr1ez0svvWRjOer1epuEmcrKSoYMGSKWUJSUlFBYWCjF/SREysvL2b17N8HBwSxcuBB7e3vOnj1LcnIy8fHxpKen4+HhwYsvvni3t9oVk0k4nwz2FC11lumCJHz9RaMRyhz+/ndh4Kq9vfABlctpXbmS+iefJHD+fC5cuNAv12NsbCwFBQW0daoncnR0xMXFhdGjR5OdnU1tbS2tra08/fTTGAwGCgsLycrKoqGhgdDQUMLCwkhLS6OxsXFALy0+Ph4/Pz+OHTtGe6dMVj8/P5555hmbJJbq6moOHjwoWqXTpk3Dx8eHpKQkMV7n7u7OzJkzkcvlZGRkUFRURFhYGHFxcURGRnZbI/jll1/i5+dHamoqLi4uvPzyyz0mzxiNRiorK23E0Gw209HRwciRI5kwYQI+Pj6S+/MexGw2k5KSwrlz51i0aJHovTh//jyJiYnMmzePyZMnU15ejr29PUOHDr2r+62trWXPnj1EREQQGRmJv78/crNZOL/cDuHbswdmzrw9m/0ZIAnfQLFYhOyvpiahH6erKzt27eL69ev84he/wMPDg3feeadfS8pkMqZPn861a9dssjitVqFcLsdkMvHQQw8x4vsht0ajkb///e/Mnz+fqqoqCgoKqBvEFHY3NzdWr15NSkoKxcXFNkI8c+ZMpk+fbnO8TqcjKSmJrKwsFAoF8fHxzJgxg9TUVC5cuEBHRwdyuZzIyEhmz55NaWkpGRkZVFRUdFsj2NDQwMcff0x8fDxnz55l4sSJLFiwoE97t1gsaDQarl69ytmzZ8X4aOfi+sDAwF6tTomfPk1NTezevRu5XM7y5ctFr0FaWhr79u1j1qxZ3P8jm6Rw7tw5kpKSbH7n4eHBr994A9lgegWDkIF6+jSMHj24dX5GSMJ3G9m5cyeZmZnY2dnx4IMPsnPnTpvY3GuvvcaHH37Yp6Lz0aNH4+3tzdGjR7tkcNrZ2TFy5EhGjx5NcHAwe/bspaAgiuzsaKqqoKqqEqggJiaL8PAb/YppK5VKTCYTixcvxt7enqSkJMxmszgjTyaT8dxzz3VxJZpMJk6ePMn58+fp6OggIiKChIQE9Ho9Bw4coLy8HABnZ2dmzJjB8OHDuX79OhkZGTQ0NDBixAji4uIICQkhJSWFkpISNBoN9fX1rFu3joCAgL6/CP5d7wcwduxYqqurKS0tpaKiAk9PT5ukGTc3t9s2fULi7mKd7DF58mSmTJkiWvtXr15lz549vbbH+yGxWCw0NzdTVVVFZWUlRUVFNjFHKy8fPoxbaurgrD5PT8E7JfXyFJGE7zayefNmysrKAEGc3N3dqaurIy4ujuzsbEaOHMmiRYvYvn07eX1oYaZUKlm+fDn+/v689957Nq3HRowYQUlJE8eOxZCSch8Gg4LW1s4fbAv29h3Y23cwefJZxo+/gL193xJfrJ1eIiIiWL58OUeOHCE/Px+9Xi/uwdXVlV//+tfYdfNlunLlCsePH6epqQlfX18WLlyIv78/3333HWfOnBGL40NDQ0lISEChUJCRkUFGRgZ6vZ6YmBhycnKYMmUKSUlJ2NnZ8frrr/c7+cBsNnP48GFycnJ4+OGH8fb2xmQydXGPymQyGyH08fH5cSY6SPRIe3s7iYmJlJWVsXLlSvz9/cX7MjMz2blzJ1OnTmXOnDk/+N7MZjN1dXVUVVXZ3KxlPq2trbS2tnZbohReUsIT27cPfFiugwO8/rowIUZCRBK+28i7775LU1MTIIjHmDFjuP/++3F1dSUpKYm0tDTuv/9+pk2bxrFjx0hJSenTumq1Gjs7O9zc3ERhbWx05dNP16LTuWAw9H4lZ2dnwMNDwy9+8TnOzn3PELOzs0OpVPLkk0+i1+vZv38/KpWKqk7TpkePHs2yZcu6tZhKS0tJTEyksrISV1dXZs6cSXx8PHV1dRw8eJCioiIsFgtqtZpJkyYxbdo06uvruXbtGunp6Wi1WsLDwykoKCAiIoLHHnusz3vvzNWrVzl06BAJCQnE3NRlw2Kx0NjYaJM92tjYiL+/vyiGQUFBknv0R0xZWRm7d+8mNDSUBQsW2PSJzc7OZvv27UyYMKHPLvPB0NHRQXV1tY3A1dbW4uLigo+PDzKZjJqaGhobG8UMbOt3p9tTscXC//vxx8i/95j0GwcHuHFDKGmQEJGE7zby9ttv4+joSHNzMw899BChoaHifWazma+++orS0lIWL17MqFGjuHbtGrt37+7z+lZLLDDwPn772wXU18uwWPpmmcjlJlxdm3nuuX+iVve9BZurqystLS1Mnz6dqVOncuLECa5cuYKjo6NYAA/w8MMPExUV1e0azc3NHDx4kNzcXOzt7Rk/frzobkpLS+PUqVNov7+iDQgIEC3Ebdu20djYSF1dHSaTibi4OGbPno27u3uf92+lsrKSbdu2MXLkSDHhpiduHtZbUVGBu7u7jVXo7u4uuUfvMmazmdOnT3PhwgUSEhLEuLeV/Px8tm7dytixY1m8ePFtf36dTie6Kqurq6msrKSpqYmhQ4fi6+srehjy8vKorKyk4/uCeLlcjkwmw87OjrCwMKqqqnpNSIstL2f1l1/2v5eoo6MwVu3Pfx7My/xZIgnfbcRsNiOXyzlx4gStra0sXLjQ5v729nY2bdpES0sLjzzyCGFhYZSWlvL555/3q/5u8+Z1VFb6YzT278SrUBgJCyvk8ce39vNxguB6enqybt06Ghsb2bt3LyqVioqKCjGOaW9vz4svvthj3Z7BYODo0aOkpaVhMpkYMWIECxcuxMnJCY1Gw6FDh8jLy8NsNmNvb8+oUaO4fv06S5cuZdu2bZjNZtRqtVgjGBMT06/ZgDqdjp07d2JnZ8fKlSv7XO9nbWbc2Sq0WCw2Qujr6yu5R39AGhsb2bNnDwqFguXLl+N6Uy/cwsJCvvjiC9EjMRisSVM3uyoNBgO+vr74+Pjg5+eHr68ver2ec+fOUVJSInZckslk2Nvbi9+h4cOH09DQQH5+PgaDAYVCIdajdseYMWNYWlsrNMzvq/g5OsKqVfDZZ0IzbQkbJOG7A2g0Gj7++GNeeeWVLifDxsZGNm3ahNls5qmnnsLHxweNRsOWLVv6lPRSVeXD5s2/xGAY2LwtOzsDL7ywEQ+P/pU8yGQyZDIZZrOZwMBAYmNjaWpqIj09naioKK5cuSIeGxQUxNq1a3u0qiwWCxcuXOD06dNiz86EhAR8fX0xm81kZGRw9OhRcXiuQqFgypQppKSkMGTIEObOnUtGRga5ubkEBAQQFxfHiBEj+uSONJvNJCcnk5eXx5o1awbU6sxisdDU1GQjhBqNBj8/Pxv3qFRIf2ewjqiaOnUqkydP7mJ5FxcX89lnnxEbG8uqVav6tbbJZKKmpsZG4Kqrq1GpVPj5+dmInJubG1VVVXz33XcUFBSg+77QXCaT4eDggEqlQqvVEhoaKpbvnDp1Co1GAwjlPnK5nIaGBhwcHGhvb+/i7lQoFLzxxhtC6c++ffD440IXl55ifmq1kAjz+uvCTE9J9LpFEr47xJYtW5g8eTLR3fTzKykpYevWrdjZ2fHMM8/g5uZGW1sbGzduvKX47d69nGvX4vrs4rwZhcLIhAnnmT//8K0P7oaQkBCKi4sZMmQIJpOJjo4O0W3j6upKaWmpeKy1Vqo3bty4QVJSErW1tXh6ejJnzhzRZdXc3MyRI0e4du0aIJxQLBaLmKRgMBjIzc0lIyODwsLCXmsEb+bKlSskJyd3G/cbCG1tbZSVlYlCWF5ejpubm41V6OHhIblHB0FbWxuJiYmUl5ezatUq/LqJW5WVlbFlyxaioqJ46KGHbrme1UVp/be+vh4PDw98fX1tbtY+tLW1tZw/f57c3FxaWlpEoXJycsLV1ZX29nba2tqIjIwkMjISPz8/kpOTxTZ/KpWKiIgIKioq0Gg0uLm5iVMirOU3nZNcFixYwMSJE/+96fZ22LUL/vIXyM0Faz9bo1EoW3jlFXj6aehltqWEJHx3jLS0NPLz83v88qWnp5OcnIyjoyPr1q3DwcGBDz74ABcXF4qKimzm51kxGOx4883XMRp7P6nfCnv7dn77278MuHVfdHQ0eXl5ODs7s3LlSmpra7l8+bJYDGwwGMQTgkKh4Nlnn72lZVVfX8+BAwfEXp2TJ09m6tSp4hXxhx9+iFqtFq1AFxcX5syZw8iRI5HJZLS1tYnlEdZuNnFxcQwbNqxHF2R/4n79xWw2U1VVZRMrNJlMNkLo5+cnuUf7SGlpKbt372bYsGHMnz+/2wubiooKNm/ezLBhw3j00UfF31ssFlpaWrq4KrVaLT4+PjYC5+3tbbN2U1MT58+f5/r16zQ2Noqfa0dHR4YOHYpKpaKsrAwnJyciIyOJiooSJ44cP34crVaLTCYTuxelpqbS1NSEt7c3Op0OvV6Ph4cHDQ0NODs7o1AoWLFiBV9++SUKhYJXX32128xpQBibVlsriJ6HB4SESP04+4gkfHeItrY23n33XV566aUeXV7JyclkZGTg4eHBkiVL2LJlC6+88gqpqamcPn3apgYQoKHBnQ8++I8BuzmtKBRGXn31rX4ludzMkCFDkMlkNDQ0sHjxYsaMGUNLSwvffvstlZWVqNVq6uvrxeOdnZ159tlnux1I2xlrX0WrlTdy5EgWLFjAhQsXKCoq4r777mP79u3i8XK5nOHDh7NgwQIx6UWr1ZKVlUVGRgZ1dXXiHMGQkJAuFlfnuN+qVavuaPbmze7R+vp60T0aHBxMYGBgjxMu7lXMZjOnTp3i4sWLLF68uFsPCkBNTQ2bNm0SW5PdLHJAF1elp6dnl4sdrVbLpUuXxPpSq/Xl4OCAn58fQ4cOpaGhgZKSEgICAkSx8/DwoKmpiT179lBSUoLFYsHJyYkHHngAhULBsWPH0Ov1BAcH09raSk1NDb6+vuJzODo6EhISQkJCAiqVCoPBgFarxcPD486+wfcokvDdQXbt2kVwcPC/u77fhNls5uuvvxY9C14AACAASURBVKa2thaVSoWvry/Lly8HhNqjvXv3iplgAFVV3mzZ8hTt7YM7OSuVHbzwwgbc3ZsHtY61ZOPixYtERETw8MMPo1AoyMnJ4eDBg4SHh9Pc3CxOmwDhSnns2LGEh4cTFBTU49Ws2WwmNTWV1NRU2traCAkJobm5mZkzZ1JaWsqFCxdsTiIgiOu0adMYP368eEJrbGy0qRG0zhH09/cXRdBkMnH48OFBxf0GQnt7u417tKysDFdXVxur0NPT8551j2o0Gnbv3o29vT3Lly/vctFkMBioqakhLy+PU6dOoVQqsVgsODs721hxfn5+ODs7d/s+tra2kp6eztWrV6mtrRU9LUqlEn9/fyIiImhra+PGjRs0NjaKLcUiIiJwcHDAZDJx+vRpzp07R1tbm3ghtmTJEtLT00lJSaG9vZ2oqCgxw3PIkCE4OztTXFyMt7c3zc3NzJ8/n9GjR9+zf+sfGkn47iB5eXmcPHmSdevW9XhMe3s7mzdvRqPREB4eziOPPCLeV1ZWxtatW8XsMI3GnY0bb4/F99prb+HgMIjJ8p1YsGABx44dQy6X8+STT+Ln50d7eztHjhwhJyeHWbNmcfz4cdFNCUIbNq1WS0BAgDiM18/Pr1t34/Xr1zl8+LDYtm3lypUkJyfT3NzMo48+SkBAgE2LNGtx/Pz58206zNTW1ooiCEJ/1JEjR4p9Gq1xv8WLF3dJjf8hMJvNYocZ681gMHRxj/bo+voZYa29nDZtGpMmTaK1tbWLFafRaHB3d6e+vh5XV1eWLVuGn59fr1a7wWDgypUrXL16VczMBOEiztvbm/j4eNRqNcXFxeTl5WFnZydadUFBQaJruqKigr1791JdXQ0IiSoLFy4kIiKC48ePc+7cOcxmMyNHjsTBwYHz58+jUqkYM2YMFy5cQC6X4+vrS1tbG6tXr8bLy+vOv6kSIpLw3UHMZjPvvPMOv/jFL3r9YFdXV/Phhx/i4uLClClTmDRpknifRqPhyy+/pKGhAYNBwZtvvjHoGJ9K1cYbb7x5W8MB8fHxaDQaSkpKmD59ulinV1JSwr59+/Dy8iImJsambtHBwYEFCxZQUVFBUVERzc3NhISEEBYWRlhYmM1UeoCqqiq++uortFotarWatrY2MQ6iUqmwWCwUFxdz9OhRysvLxeL48ePHc//994uCYbFYqKys5Nq1a2RmZuLo6CjOEdTr9Wzfvp1Ro0YxY8aMu97gurm52cY9WldXh6+vr032aF/GPv1UaG1tFd3lERERaLVaqqqqaG9v71I6YG9vz4cffoiXlxfr1q3r9m9lMpnIyMjgypUrlJeXix4UmUzGkCFDGD16NKGhoaLlWFhYiI+Pjyh2nb+3JpOJgwcPcu3aNQwGA0qlUuzGZLFYSE5OJi0tDZlMxvjx4xk6dCiHDh3CaDQyZcoUSkpKKC4uZtiwYdTW1hIdHc3cuXPviQuZHxuS8N1hkpOTUSgUzJ49u8djMjIyOHfuHPX19chkMptu8iDEC998800cHBzYtm0O6enxg8rqnDTpO+bOPQoIMTJrHCM8PNzGLdlfXF1dmTx5MsnJyfj4+LB27VpUKhVGo5HTp09z8eJFZs6cSVVVFZcuXRIfFx4ezqOPPkprayuFhYXizWAwiCIYHh6Ou7s7bW1tvP/++3h7e4udX5ycnHjppZdskhLa2to4f/48Z8+eFRtt+/v7M3fuXJvGAlaxzMjI4Pr163h6ehIZGUlubi5qtZqVK1f+qLq2dHR0dHGPOjs721iF1vjr3SI9XUg8rKgQBpf4+sKiRXD//bbZ9SaTibq6OiorK6mqqqKoqIjq6mqUSiXBwcH4+/uLrsqbGwa0tLTw/vvv4+7uznPPPSeKntlsJicnh/T0dEpKSmyarLu5uREbG0tsbCwKhUIcm1VbW8uwYcOIjIxk+PDhXeKsubm5JCYmikXmPj4+LF26FH9/f9rb2zlw4ACZmZkolUqmTJlCaGgoe/bsoampiZEjRxIUFERSUhIODg7i8Ofe4pUSdx5J+O4w1dXVbN26tdfxOrt27SI0NBSFQsHx48cxGAysWbOGkJAQAOrq6tiwYQNyuZyqqiFs2vTMgK0+hcLIiy++h5vbv92OTk5O6HQ6m1q9gSKTyVi7di07duygra2NNWvWEBERAQgJCPv27UMulzN//nx27dplM4Vi4cKFTJgwQfxZo9HYCKG9vT1hYWEolUry8/NZt24d7733nlj4GxkZSUJCgk0xs8VioaKigqNHj4pCaW9vT3x8PLNmzUJlTQdHOBHfuHGDjIwMcnJyUKlUmEwmHn74YQIDAwf8ntxJzGYzNTU1ohCWlJTQ0dFhI4T+/v533KowGuHrr+HNN4UOWW1ttkPDnZwsuLubeOSRMsaPz6CxsYLa2lrc3d3x8fFBr9dTWVnJwoULGTVqVK/PpdPpeO+993B2dub555+nqKiI9PR0CgsLbYrAnZ2diYyMZOTIkfj5+VFeXk5OTg65ublYLBaioqKIjIwUv3udsVqe1oYKDg4OTJw4kfvvvx+FQoFWq2X//v3iBdIDDzxAdHQ0O3fupLS0lKCgIBISEvj222+pqqoiPj6ehoYGLBYLK1eutJkzKfHDIwnfD8A///lP5s2bR1hYWJf7TCYTb731FuvXr8fFxYXk5GRu3LghJnLk5ORQWVmJXq/nxRdf5P3332fz5icoKwvEZOrfyczOzkBERAGPPLK9+76AQEREBPn5+QN6nZ1ZtmwZBQUFZGRkMGbMGJYsWSKK6oULFzh58iSTJk0iICCArVu3imJrZ2fHL3/5yy41WhaLhZqaGgoLC7lx4wYFBQWo1WoiIiK4du0aZrMZZ2dntFotfn5+LFq0qItYtbe3c/nyZVJSUtDr9VgsFoYOHcrMmTO7xPSsNYJnzpyhsrISf39/Jk+eTFRU1C1rBO82zc3NNnHC2tpafHx8RCG83e7RlhZISIC0tFsPC1epjPj6Gti1S8OoUUNpaWlh9+7dODg4sHz58lt24tHr9fzjH/8AhE5B1lZ3MpkMlUpFeHg4o0aNIjQ0FJPJRH5+Pjk5Ody4cYMhQ4aIYuft7d3thejFixc5ceKEeCEYHBzMihUrRKHSaDTs27ePwsJCXF1dxbrTvXv3kpGRgZubG6tWraK0tJQjR47g4uLCtGnTOHnyJPfddx/Tp0+/6+5zCUn4fhDOnj1LdXW1mLHZmRs3bnDs2DExAUav1/Ppp5+i0Wgwm83MmzeP2NhY/v73v/OHP/yBP//5zzQ1KfjnP5+npcUZs7lvLk+Fwoi7eyPPPruJ4GBPMSjfHf/xH//BBx98MKDXqlarxWQcT09PJkyYwOHDh3F2duapp54STyBNTU0cOHCApqYmli5dSlZWFqmpqeI6Q4cO5Ze//GWPbsaGhgY2bdrEmDFjyMvLo76+HoVCQUxMDOXl5TQ0NODm5sbMmTMZ3c0csqqqKk6cOCFe/VsfO3fu3C7Zg0VFRWzfvh2VSkVra2ufagR/THR0dFBeXm4jhk5OTjZWoZeXV7/do4I13cCcOY4UFNhjMPTtvbCzA19fC59/nsHFi0ncf//9TJw4scfnr6io4PLly+Tl5YlN4GUyGQqFguDgYEaPHk1YWBguLi7U1dWRm5tLTk4O1dXVhIaGEhUVxfDhw3sUVY1Gw549eygrKxOzQmfOnMnYsWPFY6qrq9m3bx/l5eV4eHiIiSynTp3i9OnT2NnZsWjRIoKDg/nqq6+or69n2rRpGAwGsrKyWLFihY2LXeLuIgnfD4BWq+X999/nlVdesekcD5CYmIiTkxMxMTGcP3+ea9euERYWRmVlJV5eXrS0tLBixQo+/PBD/vCHP/Dmm2/S1tZGbOxsXnhhBBqNKwZD7xaIUtmBl1ctTzzxJY6OQszD2gWlJ9avX8/GjRsH9HodHBxsYiu+vr60tLSg1+tZsmQJY8aMAYQTZ0ZGBocOHSIuLo5p06bx+eef2zS/Hj9+PAsWLOj2Kjk1NZWCggIee+wxPv30U8rKysSRQtXV1djb26PX68XG2DNnzuwiVAaDgatXr3Ly5Em0Wi0WiwV3d3emTZvGmDFjxOfV6XTs2LEDuVxOREQE2dnZYo2gdY7gT+VK3mo9dxbCtrY2cWCv1T3a2bI1Go1iKy9rp5Pq6mp2717O1avD6ejon/dBqbQQFFRNaqqsy2zH2tpa0tLSyMvLE92D1s+rXC5n9uzZREVF4enpicVioaSkRBQ7g8EgJqaEhob2aJ2bTCZOnDjBhQsXaG9vR6FQEBkZyZIlS2zqbktKSjhw4AA1NTV4e3uTkJBAcHAwWVlZ7N+/n/b2dqZMmSJmLlvb6i1evJjk5GScnZ1ZtmyZVJ/5I0MSvh+IrVu3Ehsba2N9mM1m3n77bTw9PWloaGDs2LGMGzcOV1dXNBoNn3zyCX5+fuh0OiorK/mv//ov/va3v6HX65k1axbh4XG89NJVjh0bi05nT0eHErCefC3Y2xtwctIydeoZ4uOvYGfXtRtMb4wdO5a0tLQBv2Y7Ozux+fbw4cO5ceMGJpMJX19fnnrqKfEiQK/Xk5ycTFFREYsXL0alUvHZZ5+JNVUymYxHH31UjBVaMZlMfPTRR0ydOpWQkBA2bNhAR0cHTz31FN7e3mJKemZmpijEvr6+LFiwgODg4C4WRk1NDadPnyYrK0tsOB4REcHcuXPx8vLCZDKRnJxMQUEBa9asQalUkpmZSUZGBjqdjpiYGEaOHGlTI1hXBx99BNu3gzWc6ekJjz0Gv/yl8P8fAy0tLaIIFhcXU1tbi5OTE0qlko6ODnQ6HV5eXjb1cXK5L1FRDgx0QLijI5w5A6GhjaSlpYmJJtb33uqKjo6O5uLFi8hkMl588UXMZjP5+fnk5uaSn5+Pu7u7TYuw3izXsrIy9u3bJ9Z+enh4sGjRoi6frby8PBITE9FoNAQEBLBkyRJ8fHyoqqpi586d1NfXEx0dzYoVK2hsbGTr1q20tLQwd+5cnJycSEpKYvr06UyYMEGqzfsRIgnfD0RmZiaXLl3iySefpK2tjfT0dM6ePYtOp2Px4sXExcV1SUAoLi5m+/btuLq6UlVVxX/913/xzjvvoNVqxflibW1tfP31NtLT3bhwwY/mZkdkMgsuLi2MGJFNSEglFou5V+uuJzpnyg0UX19fsXPGjBkzMBqNnDlzBovFQkxMDFOmTBGFoqCggP379xMcHMz8+fP57rvvOH36tLiWk5OT2NvUSnl5OV9//TXr168nPz9fTJ65udVTS0sLR44cISsrC6PRiFwuJzw8nJiYGMLCwmxGHRmNRrKysjhx4oTYpsrJyYlJkyYxefJkrl27xuHDh1myZImYmde5RtBisTBkyDi+/nosR444IJN1barv6CgkfyxfDn/9KwQFDfgtHjDWZts318e1trbi7e2Nk5MTMpkMnU5HbW0tarXaxj360UdD+b//VzZg4ZPLzYwalcHy5XtEoXNzcyMmJoaIiAiCvn9T3nvvPQwGA5MnT6awsJDy8nJCQkJEsbt5MsPNmEwm9u/fT0ZGBkajEaVSSXx8PPPnz+/iAbD+bVtaWggNDWXp0qV4eHig0+nYtWsXhYWF+Pn58eCDD+Lm5kZiYiIXL17E39+fBx98kJMnT1JaWsrq1avx9fUd2BsjcceRhO8Hwmg08tZbbxEdHU1OTg7Dhg1DpVJhZ2fXZXxRZy5fvszRo0fR6XRMnTqVrKwsGhsbiYuLY+XKlcC/v9glJSXodDra27sWpt/sfuwrt3KJ9oVhw4ZRUFAAQGBgIE888QSfffYZFRUVqNVqnJycGDVqFKNGjUKtVnP8+HGuXbvGvHnziI6O5pNPPrGJSQ4fPpwHH3xQdGMdPHgQo9HIkiVLxOn2oaGhPP74493uJz8/n8TERBoaGkSr08nJSSydCAsLE5M/6uvrOXv2LFeuXBEtUGtc6cSJE8THxzNjxgybYaKJiXU89JA7er0Ci6V396dCAa6ucOwYxMcP4k2+BdYp4NbSAevNzs6uS5eT7pppWywWamtrbdyjv/vd0+h0g3PhKZVGvvwymVGjwgkNDRVjumazmZKSEr7++ms6OjpwcHAgKiqKqKgowsPDu4QMuuP69escOnRIjAv6+vqybNmyLoJknRZy8uRJMYa7ePFinJ2dMZlMHDhwgPT0dJydnVmxYgVhYWGUlZXxr3/9i46ODhYvXoyPjw87d+4kKCiIhQsX9ml/EncPSfjuMBaLhfz8fM6fP09RUREBAQGsXLkSV1dXPvroI+bMmdNttmdntm7dSl5eHp6enqLbadiwYTYTyS0WC2fOnOHcuXPI5XJaW1u79Pp0dnZGr9f3yYJzc3MTTxgDwd/fn4qKim7vUyqVvPrqq1y+fJmkpCQ8PT0JCQkhOzsbX19fRo0ahbu7O0lJSbi4uJCQkIBOp+PTTz+1mVu4cOFCxo8fT3t7Oxs3bmTVqlUMHTqU999/n9bWVpYtW0Z8L2rSeRK8SqUiKCgIi8VCaWkpbm5uYv1gSEgIdnZ2ZGdnc+rUKWpra7FYLKhUKuzt7fH29mb16tU4ODiQnQ0TJgiZjv3BzQ0uXYJhw/r3uO7oPAXcGo+rra3F1dW1y9SB/swz7Exbm1CiYDYPzo3n4gLnz0N0tLDvgoICcnNzyc7OFrvwWEti+uIy1Ol0fPvttxQUFIjzGydNmsT06dO7HGs2m0lJSSE1NRWDwUBsbKzYK9NisfDdd9+JHYnmzp3LuHHjMJvN7Nmzh4yMDEJDQ3n44YdJT0/n1KlTLFiwgJEjRw7q/ZD4YZCE7w7R3t5Oeno658+fx97enokTJ+Lm5sbBgwdZv349Wq2WjRs38uqrr94yM/DChQskJiYSGxtLZmYmIEwqf/rpp7scm5mZycGDB3F3d6elpaXLmCO5XI6dnZ1ND9C+oFKpurUke8PHx6fX7NG1a9fi4uLCli1bxNZNRqORq1evUlxcTGRkJAqFguzsbB544AEmTJjA6dOnOXHihLiGUqnkqaeeQqPRcPz4cZ5//nkKCgrYuXMnJpOJV1555Zap+21tbSQlJZGRkYFMJmPkyJHExcVRVlYmutZ8fHxEa9DFxYVLly5x8eJFTCaTmBU6f/4CHntsHPn5wki0/iCXQ0wMfN+bu89YO5t0vjU3N4tTwK03Hx+f22qF1NYK7tl+fiS64Opq5t13s7G3v0xJSQmBgYFERERw8eJFtFotv/rVr27Z2BwQ3eJ6vR65XE5ISAjLli3rtl7OZDJx9OhRLl68iNlsZsyYMcybN0/0IOTl5fHtt9/S2trKuHHjmDdvHgqFgoKCAnbs2CHW4gUFBbF3715aWlpYtWoVnj+WgK3ELZGE7zZTX1/P+fPnuXr1KsOGDWPChAkEBQWJLsP333+flStXUllZSUlJieiu7I3U1FROnTolzvtqbm7G3d2dl156qdvjy8rK2LZtG0OHDqWmpkYckNkZLy8vNBpNt+OPusPe3h6VStXrvMDOXWCsWBN3esI6Qmb37t1kZmaKNX96vZ5r165x9epVmpubUSgUODg4sHLlSry8vNiyZQvl5eXiOt7e3ri4uBAcHMz06dPZu3cvmZmZuLq68sILL/TpNZrNZpuGw2FhYaLLq7S0VCykr62tJTAwULQEMzMzqaiooLg4iK++epyOjoEJjKOjhZMnZYwb1/U+i8VCWZmGvLxaOjrKqK8XRM5oNHaZOuDl5XVHM0xNJhPp6TlMmBCN2Ty451Gp2vnrX08ze7YfERERKJVKNm3aRENDAy+88EKvhd51dXV88803VFRUYLFYcHFxYfbs2d2Wr4CQwZuYmMjVq1eRy+VMnDjRZhxVXV0dO3bsoKamhoiICFauXIlarcZgMLB9+3by8/OJjo5m9erVlJaWsmfPHmJjY5k9e/ZPoqxF4t9Iwncb6OzOrKioYOzYsYwfP77boPvJkyfR6XQ0NjYyevRom9ZkPWFNu163bh0bNmzAZDIhk8lYv359jz1ANRoNW7duxdXVlbKysi4DLkFwfba3t3dxifbEtGnTSElJ6fUYpVLZZT1HR0dMJpONxejl5UVdXZ3487BhwxgzZgx79uzpUvNXU1PDlStXuHTpEgaDQUw6sNY8drZe5XI5zz33HG5ubmzYsAGtVsu0adOYNWtWn16jlczMTI4ePYpGo8Hb25v58+cTHh4OCBZicXExN27coLCwkJaWFvz9/Xn77emkpwfx78za/iGTmZkypYxNm7S4urpSW1vLkSOtbNw4nKIi27+zQgHLlhn43/9VEhBwZ7MGzWYzBQUFXLlyhdLSUpqbm5HL5fzP/7xOa6vq1gv0gkplobpahpub8DybN2+mpqaGF154wSbhyIrJZOLYsWNcunRJLEOIjo5m6dKlPVq0ra2tHDhwgKysLFQqFdOmTWPy5Mmi4LW1tbFr1y7y8/NFt7W1cXlmZibffvstCoWCNWvWEBwczKlTp7h06RJLly5l+PDhg3r9EneHe0P4zGYhe+DKFWhsBCcnYWjjsmVCet0A6c6d2V12ZmcaGxvZtGkTRqORV155pU99IA8fPszVq1f5zW9+w5dffklBQQFKpRInJyeefvrpHuM0bW1tbN++HZPJRENDAwqFokvcztqst7Gx0SZ+1pnOZQlBQUE2U9a7o7tEGqVSiY+PD2VlZeLvVqxYwZ49e2yOc3R0xN7enubmZnHOnxWz2UxWVpaYdRcYGMikSZOoq6vj+PHjNuusWbMGtVrN1q1bMRgMPPfcc13qxfpCRUUFiYmJYk/M6dOnM27cOJt4k1arJTOziGnTYjAaB2cBKRQmfve7P9PY6Mknn/wSvd76+ehZ3MaNE8oCbpcn09q/ND09neLiYvEz4+7uTlhYGGPGjCEgIIDf/17GO+8M3N0pk8GKFUJfT4vFwpYtW6isrOT5559nyE0TxIuLi9m/f794sTRkyBASEhJ6jY83Nzezb98+CgoKcHR0ZObMmdx3333i/WazmeTkZC5cuIBarWbp0qVERkYCwnd769atlJSUMHr0aJYuXYpWq2X37t3I5XJWrFjRJxesxI+Tn7fwaTSweTO8/baQbdDeDgaD0DpCrRYE8ckn4eWX4fsP/M0YjcYuQtbZnRkeHs7EiRNFd2Zf2LhxI3K5nOeff75Pxx88eJDc3FxefvllEhMTOX/+PABTpkyhsLCQtWvX9ni1a834rKioEN2t1hqmzvj7+1NdXd1n1+etUCgUXdaSyWRMmDCBc+fOib9buHAhJ06cELu93EznOX+duXr1KomJiSiVSoxGo9ixxVo6AcKU9oiICK5fv45cLuc3v/nNgF2AWq2WxMREsrOzUSgUjB07ltmzZ4txoaIiiIu7dcuuW+HgYGHrVhOrVyu+73XZt8/UkCHCHgaYq0J5eTmXL1+msLAQjUYDCE3HQ0JCiI+PJzQ0tMvnu6wMIiIGLnxqtZlDh8zcf78dn332GaWlpTz77LPiPMSOjg7279/P9evXMRqN2NvbM2bMGObOndura7G+vp69e/dSUlKCm5sbc+fO7eJZuXjxIocPH8ZsNjNz5kwmT54svr5Lly6RmJiIWq3m0Ucfxc/Pj5ycHPbt28fEiROZOnXqT6ZZgUT3/HyF7/JlmDNHSD/r1Li2C0qlIITvvQc3JYvk5eWxfft2MdZQUFDAuXPnRHfmuHHjBtRsdvPmzRgMhj4L3zfffENpaSm//vWvOXnyJCdOnEAmkxESEoK7uztarbZbcbBisVhISUnh4sWLDB06lKamJhs3oxVrPKMny89KZwtwICxevJj9+/eLP48ePRqdTif2CB0yZIjYscPK2rVrxabdVtra2jh8+DA5OTmEh4dTUVGB0WikubnZ5rF2dnaYzWaioqJ46KGHut2TyWSio6Ojy81gMNj83NraSkFBAZWVlWJ/0CFDhlBe7sqf/rSU1tbBNYNWq6GjQ5hq0F+CggTx68s5uaamhrS0NAoKCsQp4C4uLgQFBTFq1CiGDx9+y5O70WhkwYJ2Tp1y6HO7MisKhQV//2Z+85vPUKsdqK6u5plnnsHX15eMjAwOHz5Mc3MzMpkMPz8/li1bdssBwRUVFezfv5/KykqGDBnCwoULGXZTmmxRURF79uyhpaWF+Ph4Fi1aJF7YarVavvzyS2pqapg4cSLz5s0ThxTn5OSwatUqsbZQ4qfNz1P4Ll+G6dPh+wa2fcLRUWgt/6tfAUJB8kcffYTRaCQkJISWlhaUSiUTJkwgLi5uwI2KzWYzb731FiaTiZdeeqlPrYx27NhBbW0t69ev5/z58yQmJiKTyYiIiMDV1ZWmpiacnZ1ZunRpr1anNePT2ojabDYPqLYPEEf3DJRVq1axa9cu8echQ4Ywfvx4kpKSACH++NBDD/Gvf/1LtAblcjkPPfQQoaGhNmJUXFzMmTNncHNzIzAwUEwc6g4vLy/s7e27CJy1PEGpVGJvb9/ldvPvlUolVVVV5Obm0traip1dEP/932tpb7+7lsCbb8Lrr3f9vUaj4dKlS+Tn51NXV4fJZMLJyYmAgABGjhzJiBEj+pSgodfrycvLExs/Ozv785e/PEh1tQNGY9+sU7kcPDyE8UWHDm2mrKxM9JiUlZWJZQjTpk1jypQpt1yvsLCQgwcPirMKExISujQo12g07Nixg8rKSkJDQ1m1apVNiCAlJYXjx4/j5ubG448/jqenJ3V1dezcuZMhQ4awZMmSH9V4KonB8fMTPo1G8L/0kknYI46OcOAAuvHj2bBhg3jClclkPPbYY4SHhw+6/VBxcTFJSUkMHTqUwMBAmzE8PbF161a0Wi3PPvssmZmZ7Ny5E4Df/va3bN68mfj4eDIzM4mIiGDmzJm9rlVaWsr27duJiori+vXruLu791hvdysUCgVOTk42k9X7Q1xcnDgN3UpYWBiFhYXizx4eHphMpi7PoVAocHNzE4XIzs6OpqYmGhsbVYKcqgAAIABJREFUCQoKYujQoVy+fBmLxdLF5bpgwQKxCNoqaAqFYsB/2+LiYg4ePMQrrzxBW5v61g/oFQt9dW92h4eHmYYGOc3NzVy+fFlsA2YwGFCr1fj7+4uT5/syqshisdg0fq6pqSEsLExs/Ozk5ERNDcyaJYwj6sFjLaJSCW3aTp6E9PQdZGVliRciIGQBP/nkk33ypGRnZ3Po0CHxb75kyRIxKcVKR0cH33zzDdnZ2Xh4eLBq1Sr8/f3F+62DnjUaDQ888AAPPPAAFouF9PR0jhw5wqxZsxg7dqzUduxnxs9P+N56C/7wh97dm70xdSrvrFolZq6B8OVPSEiwCYwPlOTkZHHQ5rFjx3jmmWdu+ZjPP/8cg8HA008/TWFhIZ9//jkAv/vd79DpdGzevJmFCxdy9OhRpk6dest9WjM+/f39KS4uxsvLS+ys8kMTEhJCcXGxze/mzJnD6dOnxSzQGTNmMG7cOLRaregmtuLm5sbTTz8tJhpUVVWxb98+7O3tiYmJ4dy5cyxevJgvv/zSRgC9vLx48sknb2uCwuuvt/Luu0oMhoG5O+Vy8/cF4YM5yVpYt24zgYHlqFQqfH19iYmJYfTo0TazB3vDZDLZNH42mUw2jZ+7E0y9Ht5/H955R3C03OxscXERMlHXr4cnnqhl794t4oWlq6src+fOxc/Pj8TERFpaWsRm0N2Rnp4udjMKCwtjyZIlXTJALRYLx44dIzU1FZVKRUJCQpc435EjR0hNTWXo0KE89thjYrnQgQMHqKqqYvXq1bd0r0r8NPl5CZ/ZDIGBUFk58DUcHCj49lu0Pj4YjUba2trQaDRix/7BYK3jW716NT4+Prz77rs88cQTXa5Sb+aTTz5BoVDw+OOPU1JSIgrf6tWrcXJyoqysjJSUFOLj47l8+TLR0dG4uLh0iU91jlm1t7ej0+nEWNjtaE02UCZNmiS64Kw88sgjpKWlkZOTAwiW4BNPPIHFYhE7Z3QunVAoFMybN48JEyZgNps5d+4cp0+fxtnZmREjRjBz5kyOHz/OqVOnbJ47JCTEZt7aYKiogPDwwRd1Dw4LU6eW8sILZyguLiYkJIS4uDiioqJ6LWBva2sjLy9PbPxsnUQfFRWFj4/P/8/eeUfFed9Z/zMNZhjK0EEUIRASTSAEEiAJFYR6tSxZsuSW2Fnbaye7TuKz2fXuu5tkE2+KHSeOnTiJ7dhrO5ZVooYQqKMCqAKiSUj03usUpr1/jOdZRnSQE9nmnsMB5inzzDA89/dt94454jGZ4MQJ+OQTaGy01Cq9vGDzZiOOjqcoKLgmRHfTp09n165dNtdlNpspLi4mIyODkJAQUlNTUSqVgpLK+fPn0Wq1hIWFsWHDhiFLBfn5+aSnp2MwGFi8eDFLly61uX6rOXRvby+rV68Wsi51dXXs37+f4OBgVq9e/cD7Lk5h4vhqEd/Jk7B16/j1ogZCJrMsS994A41Gw5EjRygpKQHgP//zP8d0CpPJNCTptLa2cvLkSVatWoVer6eoqAiTyYSfn9+QjRTWr56eHsGaRSqVCjd7V1dXnJ2dsbOzo6+vj9bWVmbMmMHdu3eZO3cuHh4ew9asrOm9EydO0NTUhJeXl1Bf6ezsnPj7NwQGkupwUmhBQUGoVCry8vKEx5YsWYKjoyPHjh0DLOoxL730Evb29pSUlLB//34cHR2ZNm0apaWlwnNMnz6d3bt309vby6FDh6iurmbbtm1ERESQnZ3NyZMnB800enl5ER8fz4wZM4RBfJPJJCizWL9bH7d+WbdZf/6P/5hGRoYKrXZ8zR729kb0etGkB8It75sllajT6SgtLaWwsJCamhpCQ0MFH0GpVEp7e7vgSF5fX09QUJAg/Hy/IuGKigrS0tJoa2sD/m/U5dFHHxVGB4aCTqfj7NmzFBQU4OfnR2VlJUajkejoaNasWTNk9FpbW8v+/fvp6uoiMjKSjRs32pCqyWQiLS2N69ev4+fnx+7du1EoFJjNZrKzs7l48SLr168nIiLivrz2KTy4+GoR32uvwb/+q2VkYRIwL1jA3u99TyA8KxYsWIDBYLAhJesA+EDiMhqNSKVSZDIZUqlU+NJqtZhMJry8vIR2/5qaGsLCwpBKpUgkEiQSCWKxGLFYjEgkQiwWc+3aNZRKJVFRUWg0GnJychCJRISEhODl5SXcdCsrK1Gr1Xh6elJdXU1oaCgymUy4YZvNZuHL+rvJZKKjo0NokOnp6cHOzm7CTS+TxVDqL/c+JhKJBDL9oj++90Y6A38f6meTScK77+6mrs4Hg2FsEYNMpicoqJ7ycn+MxskrgCxaBPfqDPT19VFUVMT169cF016RSERYWBhhYWEEBwfftwinv7+fw4cPU1paitFoxM7Ojvj4eIxGI5cvXxYWISPB2k1plYVTKpU8+uij+Pn5Ddq3u7ubffv2UVNTg7+/P9u2bRsUwVsFr/V6PRs3biQ6Olp4Xw4ePIhWq+Xhhx8ecmh+Cl89fLWI7z/+A/77vyd9GtOsWfx4165Jn2cohXvrTdu6zWg02hDdwGOtv/f39yMWi7Gzs8NsNgukZI3cBu5r1Sq0Eq2Li4tw7pG+NBoNnZ2dODk50dPTg4ODA72jdMVOdqxhONwbFdrb27NmzRoyMjKE1x4VFcX8+fMRiURcvXqVgoIC/P39Wb9+PSKRiP3799sY2srlclxdXVGr1axYsYK0tDT0ej3+/v6DOkA9PDyEhUFMTAzR0dG4urqO+fq1Wti505KAUKuH1+0UiUzIZEYiIys5etSVsDCPSSUrrNiyBay6ADqdThB+Lisrw8nJSRgLqampoaenR/AR9PPzm1QTR35+PqdOnaKnpweRSISfnx+bNm3C09OT06dPc/78ebZu3TqikLNOpyM9PZ2bN28ilUpJSkoiOTmZgoICTp06RWRkJMuXL0cul6PX6zly5AiFhYU4OzuzdevWQXVBo9HIgQMHKC4uJjg4mJ07dwoEX15ezsGDB4mJiWHZsmVTsmNfI3y1iO9//gf+/d8nNgQ1AN0zZ/KrISxt7OzscHd3Z9q0acyaNYsZM2aMeZXc19fHm2++OcgnzjoX+NBDDw177BtvvMHMmTPZsGED/f39vPrqq8jlckFcdyB0Oh3vvvsu8fHx9PT0UFFRwRNPPDEmgWJrx2d8fDzFxcV4eXlx+/btYQWtrUQyXvFqK4YTsbZGywOH2kUiES+//LJN6tnb25tvfetbSCQSampq+PjjjxGJRDz55JOC9czZs2c5f/68EDE6Ojp+7pfnTltbG319fTz22GNcvXqV0tJSm+tISEjAZDJRVFSEh4cHMTExREREjKmt3WyGrCz4xS8sBCiTWebzRCLLz3q9mZiYBqKjMwkIqEEsFnHy5Hc4d25kb7nRYeb997uJiLCkMGtqaggICBBSmPdGNG1tbdy8eZPCwkKMRiNRUVFERUWNWeWmu7ubgwcPUlVVhclkQqlUsnjxYhITE4V9rLOnVrcMo9HS/OLgYHkvwLJgO3LkCLdu3UIul7NkyRISEhJsiFitVnPy5EnKysoIDAzk1q1bSCQS1qxZY6PwY0VZWRn79+/HbDbz8MMPC6lVq/t6fn4+W7ZsEaTopvD1wVeL+D75BJ59dnzze/dCJKIoPJx9www6j3yopQYnl8txcXHB19eX8PBwgoKCyMvL486dO2zfvt3mGCshWmtXQ+H1118nKiqKVatWYTab+dGPfoRCoSA0NHRIwuzo6ODdd99ly5YtFBYWotFo2LFjx5jUJqwdn0FBQXR3d6PVaunu7h627hcfH8+NGzcmrPiSmJhITk7OkNvmzJnDzXvsCp5++mmampqEAXiJRMI///M/4+joiF6v5+OPP6a6upolS5awbNky4bjm5mZhLhP+r+7o4OCAwWDg+9//Pn19fbz//vs2oxN2dnY88sgj6PV6CgoKKC8vJzQ0lOjoaEJCQsb0njY0WBo+rBM2Hh6wciV4e1tuwufPnyc7O5uGBiVvvvltJtPVKZXqeeWVn6JQyImLiyM5OXlM3Zxms5nGxkbBTNfe3l4gwaFcB86fP8+lS5fQarWIxWJCQkLYvHnzICeMCxcucOrUKZYt20RhYSy//CVUVVk0IwwGizvDokXFzJp1goAAMykpKSNaSZWUlHDo0CF0Oh0uLi7s2rVrUOelXq9nz5493L17l/DwcB5++GEhmuvs7GT//v3I5XK2bNkyqnPHFL6a+GoRX1+fpYVsoqMMAI6O/HnbNqqCgu7bZd0LkUiETCZDLpejUqno7u4mKiqKFStWDLn/L37xC+Lj44UZvR/+8IcolUp8fX1tPPkGorKykr179/Lkk0+SkZGBSqViw4YNY0plaTQa9u7di0wmw8PDg6KiItRq9bBi1rNnzxa6LyeCZcuW2VgNDYRSqUSr1doQ64YNG5g2bRp/+tOfhEhu586dzJ49G7BE0RkZGXh7e/Pkk08KEVp/fz+//e1vcXJyGjS76O/vL9g85eXlcejQIZvtvr6+PPLII9jZ2VFUVER+fj5dXV1ERUURExNzX9y2r169SmrqTLq6XJgY+ZnZubOZ9etPUF5ejtlsRiqVEh4eTmpq6qhO5cJZPvckvHnzJsXFxbi6uhIVFYWXlxcnTpwQZOFcXFxYvXo14eHhQ54nJyeH9PRMbt9+hkOHpiEWDy3pJpEYkEjErFgh5qOPLHN+96KxsZF9+/bR3t7OrFmz2Lx5M/n5+WRlZREfH09ycjIymYybN29y+PBhZDIZO3futEl9WgUcFi1aZCNRNoWvH75axAfw/PPwpz9ZlpMTgNHPj/9+5hlLTuoLwECn7tEw0DtPpVIRFRVFZGQk77zzDk5OTqhUKr75zW8Oe/z169e5ePEijz/+OHv27CE8PHxIQ86hYNX4bGpqIjY2lpMnT47o4adQKITUpFKpHNIK6V4M1PMczfj2Xu1Pa9fe22+/LURoMTExbN68GZFIRHt7u+DzZzUyBbh16xaZmZk8//zzFBUVceTIEeG8EomE559/Hnd3d0wmE/v376e4uNjmOhISEkhJScHOzo7W1lYKCgooKChALpcTExPDnDlzJmzuCnDmjJGUFDETIT4HB2hutmiw9/f3U1hYSFZWlvC+uri4CHOeY9Wa1Ov17Nu3j7KyMqFG7efnx/bt20ck0qtXr3LoUDrHj79IcbHrmNaidnaWdWt2tmUqCSwZkf3791NRUYGPjw/bt2+3iUC7u7vJzMyktrYWqVRKW1sbsbGxbNiwQXiNer2e48ePU1FRwbZt22wG2Kfw9cRXj/hu3YLY2NElJIaCgwMZK1eSM0S94G8Be3t7ISVjMpkwGAxCG/1IsBKkg4MDbm5uBAQEEBkZiaenJxkZGTQ1NbFp0yY++OADli5dOmIqaSAGanympqZy8ODBMbm3g2U8wOpUPhIGqnaM9hrvfW6FQsGLL77IsWPHBINelUrFP/7jPyKTyWzcsufOnStIun322Wd4enoKEbR1H+v5RSIRqampLFy4kO7ubt577z0bUhaLxWzZsoWoqCghZVpVVUV+fj6lpaX4+/sTExPD7NmzJ9Qp+e678Mwz41NwkUqhtHRoB/f29nYuXrxIfn6+YGkVFBTEqlWrho1U7969y7FjxwQvRS8vL9auXYtGo6GwsJC7d+8OOyN448YNDh06zJkzz3Plite4/hUlEotxypUrRi5ePMaNGzdQKpVs3rxZWLzciytXrnD8+HHMZjOBgYE2c5nNzc3s27dPkDIb6xD/FL7a+OoRH8Af/gAvvTS+lKdCAatWUfKTn/DZ55JgDxLs7Oxwc3PDzc2N4uJiJBIJZrMZhUKBTqcbE0Fab9KOjo74+PgIN67RWrgLCwtJT09n+fLlpKWljZmsrBZDo80FjnV43qoxei8WLVqEo6MjGRkZwvkGehUOnPn7xje+gUgk4p133uGpp57C09OT/v5+fve736HX6welVf39/XniiScoLS3lwIEDNs/r5OTEzp07bSKI/v5+SktLKSgooK6ujvDwcGJiYggMDBxTas1gMFBZWcn773fy6qvzMJtHV3JRqaCgwCJSPRJMJhN37tzhzJkzNDU1YTabkcvlxMfHs2TJEoxGI4cPH+b27dsYjUbs7e2ZP3/+kB2P984Izpw5Uxi3OXz4MHL5Zn7847kTcquwszOxYEEOa9eeZcWKFSxYsGDI966np4ePPvqIlpYWkpKSWLZsGZcuXSI3N5eFCxdiZ2fHuXPnWLlyJTExMVOpzSkI+GoSH8BvfgM/+MHYIj8HB0u3wZ49YG/PBx98QGVl5Rd+iQNhTeUNFdmMBOuYg6OjIx4eHgQEBAjKLSUlJdy5c4fGxkZaW1sRiURjOrf1nA4ODnh4eBAUFISbmxtHjx7Fw8ODysrKIcnv3mv39fWlv78fhUJh48M3EkYjwZiYGEEoeSDs7e2Jjo7m6tWrwvEbN25k3rx5AIJpbVtbG+vXr8dgMFBUVMRTTz2FSCSiurqaPXv2oNVqmTt3Ls3NzdTV1Qnnksvl7Nixg+vXrw9quJk1axYbN24clOLs7u7m5s2b5Ofno9friY6OJiYmBjc3N8xmqKmxfPQUij5B+LmiogIvLy9mz57NjBmzeOstJ371KxEazeCuXE/Pbn7yEwPPPOM+7sy8RqPhypUr5OTkDLKECggIYMuWLUM2tQwFtVpNcXExubm5tLa24unpyR//uIO8PDcm2qjj4KCntVWMQjH0iEFWVhZnz57F1dWV3bt321xrQ0MDH3/8MTqdjg0bNgzryD6Fry++usQHcOYMvPKKxa3BaLQdbBeJLMUQV1dqHnuMUzNn8sjOnTg4OKDT6fif//mfv991YyEABwcHHB0daWpqGpYQrUPu1mH0e7fJZDKb86SkpODk5ERGRgbf/OY3kcvlFBUVUV5eTnNzM319ffT39wtzbOPFvbW4mJgYpFIpZWVlYxazFovFTJs2bViydHFx4aGHHuLPf/6zzeMBAQGCxY71Zj5z5kx27dolrPYzMzPJzs4mODgYrVZLXFycQI4nTpzg7t27NDc38/TTT9PZ2cnRo0eRSCRCzVIkEhEdHU11dbXgW2dFSkoKCxcuHBQdWTsmL13K5zvfmUt9/VCjAmZWr+5k/345SqWtDJfRaOT3vz/PlSv9REQsJCTEkYCAKq5fT6epqQmVSkVKSsqI83H3orOzk4MHD1JdXY3ZbLb5u0mlUiIjI0lNTR1zvfLWrVvs2bMHb29vysr6+fWvnxvzAP9QcHKyJG527rR9vL29nY8++ojOzk6WL19OcnKyzfaamhoOHDhAaGgogYGBnDhxgqCgIFauXDmp2usUvlr4ahOfFWVllgjw8mXo6rIss0NC4IUXYOlSrt+4wZEjR5BKpSxbtozExESKi4s5cOAAW7duxcPDQ+go+6Jgb28/6jycSCTCxcWFzs5OgQgH6lUOhLXuZ93PYDAMSZyOjo6oVCp8fHwICQkhJCRkyLpUb2+vEEFaLY3GAzs7O/R6/ZjJVCwWs2PHDv7yl78MuV0ikTBnzhwKCgpsrmXGjBnY2dlx9+5dYXRBoVDw7W9/G4XC4pxQW1vLRx99JNzwX3jhBZRKJQaDgT/+8Y8YjUbUajXf+9736O/vJzMzk/LycoKDg22eT6lUolarbV6TnZ2dzcyYFaGhRu7csTaUDBUF/V9N77HH4H//d/Ae165d4/Tp02zevFk4f0dHB2lpaZSXlyOT2SMWr+X06TncvStCo7EY08bEWDL/CxaYuHDhPDk5OcIYQmhoKJs3b0ahUAhR8NmzZ4X0tIuLC8nJycTGxg7bEHP79m3+8pe/CIuwmprN/O//RqHRTC61uHo1fO5Shdls5sSJE+Tk5ODl5cVjjz1mQ2Qmk4mLFy+Sm5vLxo0bhQ7f/v5+zp07R15eHsuWLRtXY88Uvrr4ehDfKGhoaOC9997DYDAgk8mwt7dn9+7deHl5Cf8kJpNJcG3+ItRKBkIikeDo6IhOpxtVOkwkEuHq6kpoaCgKhQK1Wk1VVRUdHR1D1uGsqUQnJydBds1KngM/ChKJBHt7e5ycnPDy8iIoKIiwsDAcHBwwGo387Gc/Q6/X4+joKCi8ODg4oJ7MKMkQ2LJlCwcPHhxym0qlEt6fge+TWCxmw4YNZGdn09LSgskkoqxsJjLZJvr6HJFKYdo0E05O6YjFV/Hy8uL5558HLG3zH3zwAUajkRkzZvDoo48CFpWPo0eP4ufnR0JCAp999hk9n8usDJWe9fX1Zd26dbS3t5OQEIZWK2PsaT8zCxeKuHhx8Jaamhr27t0rtPBb0tfw2msGfvITIxoN9PfbNnCIxWakUgNKZQ8rVpxm8eI61q5dO6JWZldXFxcuXCAvLw+DwYBIJGLGjBmsXr1amJvT6/Xs3buXsrIyRCIRSUlJpKSk8MMfSvjxj8f4UkdAbCxcv275m3zyySeo1WrWrFlDfHy8zX49PT389a9/xWQysXXr1iG7TZubm0lLS8NgMLB+/fqpzs6vOaaID0u945e//CUmkwmRSIRSqeSJJ54Y0jWht7eX9PR0wa7lbwVfX19hmHy057WS4ezZs3F3d0cqldLZ2Sk4IAxFpiKRCHt7exwdHYW5N7VajVqtFlKfVojFYiQSiU2kab35W0WIh0N0dDRisdhGjHoykMvlnzug1w3aZmfnRUXFWj7+2BODQWpDCGKxpZ/JzU1NbOwJli2r4fnnn0Eul3PhwgUKCwtpbm7m4YcfFuxs9Hq9oPiRmppKTEwMn3322SDFl4F4/fV/prvbmfHXuszs2NHPp58O7kLs6enhs88+w9HRkbVrt7B7tz2nT4+tl8vBwcxzz4n45S/HNrFjNpupqKjg1KlTNDQ0CH9jR0dHwU3Dy8uLZ599VlgkvvIK/PSn43qxQ2LOHDM//vFh8vLyCAgIYNeuXYNUc8rKyjh8+DBxcXEsWbJkxGjObDaTn5/PyZMnCQ8PZ8WKFVPmsl9TSP7rv/7rv/7eF/H3hkwm48KFC0KqZseOHUOK4YIllRUZGYm/v78g0zTetN9E0Nvbi1arFWaprLC3txeIcODjGo2G2tpabt++TWlpKVVVVcIws1XOzMfHh7lz51JfX4/ZbMZgMKBWq+nu7qa7uxuNRiNEwS4uLgQGBhIYGCh0S96b5gNGjYabmpro6+vDy8trwga29z5fzxACl+3trvz2t49z5Yo7Op0co9HWQ85stpR8u7tlVFeHcvOmL93d7xEY6E10dDQ3b95EqVRy9epV4uPjkclkSCQSQkJCmDFjBqdPn6akpITVq1cTERGBWq0WHAisqKz0Jzc3kYk1eIgoKpIQEvIxYrEINzc3oXZobeSpqKjiiSfkXL2qGnNaUa8XkZ9v0RNNSRnDVXy+iIqLiyMyMpLy8nJ6enqEyN7e3p5Nmzbh7u4uHJOfD2fPTlo5EEfHavz8TvLQQw+xevVqG6k/q4j1xYsXefjhh5k7d+6oXZsikQgfHx9iY2MpLy8nPT0dR0dHvLy8pjo+v2aYivg+x9mzZ5kxYwa9vb2cOXOGZ599dtQZLIPBwIULF7h06ZJAHF8UHBwc0Gg0Q9bIPDw8iIyMpK2tjbq6Orq6ujCZTDYzgcP9mRUKBWFhYdy5c4ewsDASExPp6OigubmZyspK6uvrbXz7BsLaEPFFiVWPB3Z2dsTExHD79m2qq038/vfPotUqMJvHVs+RSPR4e7fwzW++x+zZQaxevZr33nsPsViMs7Mzzz77rLCvTqejrKyMixcv0tjYiJOTE3PnziUsLAxXV1fef/99Wlpa+OlPX6a/X8HEJcgsDS+PP36M2tpawsLCiImJYfr06YhEIt5/H154wYRGM/6alYODmZMnRSQljb5vR0cHhw8fprKyEonEk2vXNnP+vD06nRyx2IiTUzdLluTyyCNSVq5cyZ07ShYunJyAkkymY+fOfN59N3bQ/2F7ezv79+/HycmJTZs2DenJNxbU1taSlpYmGNWO5os5ha8OpohvCOzbtw9nZ+dBAtDDoa2tjaNHj9LS0kJfX9/f1dTVqqyRnJxMXV0d5eXlNulNe3t7odlluGt0cXFhxowZ+Pj44Ovri7e3NzqdjpaWFlpaWqirq6O6ulrwCRwJwwlRfxEQiUR8+9vfYeFCJ27dArN5fGr7UqmeOXNusnnzkUHbCgvDuXhxMRqNArMZlMp+du1q5oUXnMjKykKr1bJp0yZhIFyvBzu78Q2hDwez2ZLetI5G6HQ65syJ5sknk6irU0zonCKRiYSEJs6dcx9WwLyxsZGjR49SV1dHT89sjh/fQlGRNfU68HVZPgNSqYG4uGts336Zd955hrKyiRESgExm4PDhyyxdGis0JQEUFBSQkZHB0qVLBXeOycBauz937hyxsbEsWbJkTILuU/hyY4r4hoBareZ3v/sdjzzyCAGjTQV/DrPZTGFhIcePH8fe3t6m1f2LJsLp06fT0dExZOrQKiC8cuVKmpqaKC0tpa6uju7ubiEqNBqNyGSyIclwYDPM9OnT8fHxEQhRoVDQ3d3NW2+9Jew7lsH2gee936isDOTTTx9Hq5WOvvMQkMkMlJWp2b//T3R09HD48BZu3owaNnIUicyEhxfz0EMHkMksr8fOzo709FWcPz+P+0F87u4WV3eFAkJD9WzY8Cnl5To++OAJ9PqJ36SlUgMvvfQGMTGWRhyr9VJVVRVpaWm0tLTg5eVFT892fvADj8//XqO9HjOOjr0sW3aGzMzVgxptxgKJxMy2bVp27szg1q1bzJkzh7i4OLKzs6mtrWXbtm33RRt1IHp7e8nMzKS6upo1a9YQFhZ2X88/hQcLU8Q3DEpKSjh58iTPPffcuGSnNBoNp0+f5vr169jb26PRaIRU4HiH0ycCPz8/VCoV5eXlgwaTwZKejIyMZMWKFWi1WsGSpqurC7PZLFyji4sLOp0OnU43JBmCJU0aEBCAvb09BQUHeiy6AAAgAElEQVQFLF68mAsXLgjn8PPzo66uDrFYjIuLy6C5ty8Cn3yyk9u3Q4GJtazLZP1s2nSN8PAb/PSn/4DJJGEsN3ux2MTLL/8JBweLIsoHHzxGRUXwGI4dL6zRlRGjUfK5ssvEoFDAd75Th6/vPjo7O1GpVBgMBnp7e/Hz82Pjxo2cPOnN448P7yk43DU6OupRqXpoaHAZVF8dDU5OBgoLpQQGWiLd06dPk5+fj7OzM5s2bfpCbYSsjvHu7u6sWbNmXD6MU/jyYIr4RsCBAwdwcHBgzZo14zrOYDDw85//HJVKhVgsFhpFpFKpoM7yt+gItaYsjUYjJSUlQ9bhZDIZ8+bNQ6/X097eTkxMDFevXhXcC6zWPSqVCrPZTFdX17C1Rvi/SM46l2gdcVAqlezatYt3333XhvzvHXifDNRqBa+99t1x32jvhVLZjVrtOCa5sIEQiaC2Fnp6brF2rQMVFf7jOv7vge9/Hx5/vIDjx4/biIynpKTg4RHLjBmWcYmJYP58aGszU1NjRq8ffSFi0ZQw8/zze1m50pUVK1Zw5coVsrKySE1NRa/Xk5OTg1KpJCkpibCwsC9kJs9gMJCdnU12djZJSUkkJSXZNNZM4cuPKeIbAWq1mt///vc8/PDDgmv1WHDnzh3OnTvHN77xDXJzc8nKysLHx4fq6mqbmoRYLB7W6ud+QywWExERgYeHB9XV1VRUVAxJXmKxmCVLliASibh58yYbNmygrKyMiooKWltb6e/vRyKRoFKp8PLyoq+vj5aWliGjy4EQiURIJBLmzp3L1atXbbZZh8cnamhrRV2dLx9++AQ63WRb1K3vy/hJSy63qOTt3q3nk0+kEzrH3xIJCTdYt+6IILtmNBpJT0/n9u3bHDq0iWvXopnoaxCJLMLZzz5r0Y7Q6cwYjUOfy8nJojmakQHTp6v56KOP6O3txdHRkW3btgmSZCaTidLSUrKzs+nt7SUxMZHY2NgvpC7X0dHB8ePHBZm7GTNm3PfnmMLfB1PENwpu3bpFRkYGzz333Jj/udLS0nBxcWHx4sWAZRg4IyODhoYGXFxcqKqqQi6XCyQysDb2t2qMCQwMJCQkBLPZTHFxMc3NzUPuJxaLSU1NFVr6dTodJSUl3Lp1i/r6eqHBxcHBAZFIRF9fH76+vjQ0NIzrekQiEf7+/tTU1Ng87unpSUtLy5jOUVERxKef7rhPxDdxwtq7FxITRxeN/vvDzPbtpXz44YxB82xqtQFnZzFG4+Qiqn/4B3jnHcuIw89+1s++fWLEYov/nslkiQQDA2tYtSqff/iHGcTGxlBVVcWBAweQSqW4urryyCOPDOmqUFNTQ3Z2NpWVlcybN48FCxaM2XNwPLh16xbp6ekEBgaycuVKnJyc7vtzTOFviyniGwMOHjyIvb09a9euHXVfs9nMG2+8wWOPPTaoPfr27dukp6fj6elJV1cXzc3NODo60tfXh1wux2QyCVHPeOqBk60duri4EBUVhbe3N+Xl5SMOl7u4uLB06VKio6MFh4jGxkZu3rxJRUWFYFJqxVCyXiNhqNEId3d3YUZupIXB/Y34Jj6C4OUloqnJ4i/3NwroJwQnJzMffSRi06bB2z74QMdTT9kx2YjVzs7SmHP27FmysrJwcPAmMfFRzGZnlEqLgMCtW+e5fv26sPgTi8WsW7eO2NhY0tLSaGhoYNeuXcNqbXZ0dJCTk0NBQQGzZs0iKSnpvje/9Pf3k5WVxY0bN1iyZAnz58+fkj77EmOK+MYAjUbD73//ex566CGCRnFmb2hoYN++fbz44otDtloP/AeKjIykuLiYvr4+VCoVnZ2dODk5YTAYRk0dDoX7US+TSqX4+fnR2NhIcnIyjY2NFBYWDru/p6cny5YtE+ot2dnZZGZmkpCQQG5u7pDHLF++nPLycqqqqsZ8XWMhd7HYix/+8FuTrvFNHmYiIopwc+vjwoUFPKjpTpXKQGMj2Nvbvl9arZbVq/PJyrof127m5z9/C622g5SUFBYtWjTkXl1dXfzlL3+hs7OT/v5+wXJr/vz5Qsf07t27bQbl74VGo+HatWtcvnwZT09PkpKSCAkJua/D6S0tLRw7dgytVsv69evxtzrmTuFLhSnlljFAJpPh4eHB0aNHmTdv3iD1/YG4du0arq6uw5pmSiQSgoODCQ0N5caNG8hkMiIiIqisrEQqlSKXy+np6cHd3d2mBigWi0dNg1q3WV0ZJhIFmkwmurq6MBqNlJeXIxKJSExMpK2tjaCgIJydnW3GJqyWNFlZWWRlZQn6oo2Njaxbt47bt28THh5Oa2srvr6+9Pb2UllZSVdXl+AqAQj1wtFe20gwm/uoqwukrU3FZCK2yd/sRbS0eNDQ4IPJJBIee5Bgb28iKekizc2fIRaL8fLyQiqV0t/fz5tvvklBQRh1dfcnakpNvcV3vvPNYf8nSktL+fTTT4mNjWXXrl0sXrwYpVJJbW0tZWVlVFdXY2dnx5UrV5gxY8aw6UyZTEZgYKDg35eVlcWVK1eQSqV4enrelwhNqVQSExODnZ0dhw8fpr29nYCAgAkZDk/h74epiG8cOHToEFKplPXr19PfDwcPWuo5TU2WQr63N7i5ZfLyy7MJCRm9GcZsNpOXl8epU6cIDw9HrVZTUlKCk5MTIpGIrq6uQa4N1iaRsSqlWB0axjpfNxqCg4NZtWoVarWau3fvcufOHcFpfaiPkpWsfXx8UKvVwutSKpXMmzeP4uLiQVJfk0FFxXQ++eRR9PqJOm3fn6FzKyQS44A62YNDfk5OZo4eLeXq1XTAokMaHx9PXl4eZrOZhoZ/5vXXxzLKMRrM9PWJGEpcxWAwkJmZSVlZGVu3bh1yZrarq4vMzExKS0uFhVxwcDDbtm2zGWwf8pk/1xnNzs6msbGR+fPnEx8fP2Gll3uh1Wo5ffo0xcXFgnbrlPTZlwNTxDcOaLVaXnvtPWprH+Uvf3HFaITPjQkEKBQG7O0lvPiiiO9/H1xcRj+vWq0WvOCSk5O5ceMGDQ0N+Pj40NraisFgICAggK6uLptoa7ypTYVCQX9//30ZHxCLxQQFBREXF8f06dOpqKigvLycsrIyNBrNsM/h5uZGe3s7MpkMmUzGli1buHTpkmD8GxcXR15e3oSv0WyGt976R9ra3Mat3DKZbs6RIBLpAemkZu7uLyxuDZ6ePfzgB0bi4++QlXUOvV6PyWQiPDyczEwV7767ksm+F1KpkfZ2DU5OtvW51tZW9u3bh7u7Oxs3bhxVLNpsNlNWVsaxY8fo6uoCLPXmZcuWjYlwmpubyc7OprS0lKioKBITE0dMm44H9fX1pKWlCYtiq3vFFB5cTBHfOFBeDosWGWhvF9PfP3LaxN4efH3h3DkIDBzb+auqqjh69Ciurq5ERERw8uRJ+vr6bNKcYWFhVFdXC1ZAAE5OTkMKNQ8Ha0q1917WngQ8PT2JiIhg/vz5aLVaiouLOX369KjHiUQiFi1axKVLl4QV/csvv0xWVtawNcJ7j7d+hK11wM5OZ95551m0Wvk4tDpNn7fafzHktHo1pKbCv/4rfHGypuOPVmWyfmbPvsVDDx1EIrG8/xKJBJNJzI9//AMMhsmkB83Ex99kw4a/olQqCQkJISkpiYaGBk6ePElKSgrz5s0bd5RUV1fHhx9+iNFoxGg0IhKJCA4OZt26daO6xvf29nL58mWuXbtGQEAASUlJBAYG3hfps2vXrnH27FliYmJYtmzZlPTZA4wp4hsjGhoshp5tbYx5oFciAS8vSyv3WPVvjUYj2dnZXLp0icTERAoKCoRUYHh4OGVlZQCCa8LAOUA3Nzc6OjrGNQ7h6OiI2Wy2cRif7EdCoVAQEhIiiDk//PDDHDhwYMznlclkfOtb36Kjo4NPP/10XNdjvf62Njf+/OcnUasVGI0j119ksn6MRvEYVVomBqnUSECAlooKa5rt/iu6uLh0otUq0Onsx3V+mayf0NAytm/fZ2NVlJa2hStXJj7HB2aqq0U4OXVy6dIlSktLhQVaYGAgycnJE24+6enp4eOPP8bd3Z2enh5qa2uFhpgFCxaQnJw8Yi1er9eTl5dHTk4OcrmcpKQkIiIiJl0H7O3t5eTJk1RUVAjSZ1PpzwcPU80tY0RKClRWjs9qxWy2tHJfugTf+MbYjhGLxQQGBhIREcG1a9dobm7Gzc0Ng8FAU1MTzs7O+Pn50d7eLtzkXV1d0Wq1aDQaRCIRXl5egoXRaOjv70ev1yMWi3F3dxdW0cCE/2ENBgPNzc2CY/3t27eZN28e9fX1QqPL9OnThZSVdSzCCpPJxJUrVygrK2PevHm0tLSMO/Xp4KBh7tw8JBIjzc3eiMWme7o9Tchk/bi4dLN06Rlu3w7ji6zBmUwiOjutZrRfzPN84xsHuHFjDkbj+FK8JpOE7m431q9fyI4dIdTV1aHRaPDxqSEnJ2mC12tm2rR6Zs48RGxsLE5OTty6dYvZs2cze/ZsGhoayM3N5cKFC9y+fRuz2Yy3t/eYicfe3p45c+aQl5eHQqHg6aefRqVSUV1dTVlZGVlZWdy6dQtPT09UKtWg4yUSCX5+fixYsAClUikITZjNZqHRZyKws7MjLCwMX19fTpw4QVlZGf7+/qPWI6fwt8VUxDcG5OXBokUTt1lRKCxO0uPVvTWbzbz11lt0dnbi5eWFi4sLXV1dwnC4q6srHR0dODo6kpSUxNWrV230MH19feno6BjVxf1eKJVKlEolbW1tQirJej33A+7u7rS3t5OSksKpU6cIDg5GLpfbNDBMBNaFgFUaznq9RqOI27dnU1Y2k74+JWKxCSenHqKiCgkIqKWlxY23336RB6n5ZHwwY2enJSkph4sXkzEYJnbT9vODmpr/M6g1m838+7/n89OfxjDe98bFBc6fryI9fQ86nQ6JRMKWLVuIiIgQ9jGZTBQUFHD9+nXq6+sxmUy4ubkRFRVFQkLCmMjCaDRy8OBBurq6ePTRR1EoFPT09JCZmUlJSYlgmxUVFcWqVatGPGddXR3Z2dmUl5czd+5cEhIScBlLkX6Ea8vJyeHixYskJCSwaNGiKemzBwRTxDcGPPEEfPLJxI01pVJ45hn43e/Gf+wf/vAHHBwccHJyIi8vj/Xr1+Pk5MSnn34q7OPv709tbS0eHh4kJiZy8eJFGwL08/Ojt7dXiLAGYqTUpkgkwtfXF51Od187LwfCOrD+0ksv4ejoyPHjx7ly5cqYrm8kyOVypFKpUMe8Ny1sRWOjF8ePr6aycgZfXuKDN94w8R//YaCnZ+J1JYXCwGef9bNhg23X45//bOSb3xR/LlQ9umC3p6eImzfB0bGPAwcO0NjYiFqtxs/Pj127dg3bVVleXk5ubi5VVVXodDqcnJyYNWsWCxcuHLF2ZzabhejqscceE8jKbDZTXl7O8ePHBbd4FxcXUlJSiI6OHvZ8nZ2d5Obmkp+fz8yZM0lKSsLX13eU1z08urq6OH78OM3Nzaxbt46QkJAJn2sK9wdfPuIzGiEtDXJzoaUFlEqYPh127LB0k9xnaLXg6mr5Phk4OEBXl4UEx4O3334bT09Ptm/fzp/+9CfUajWOjo7U1NTg4+NDY2MjMpmM5ORkiouLaWxsxN/fn8TERE6dOmVDgP7+/hgMBkFdZajGkOEgl8sJCAgQjGlh6K7SyQzRe3l5ERERgZ2dHZmZmQAsXryYkpISYe5PLBaPGMGePbtoQNQjQiIx4udXw6OP/oXFi211Qq9enUdGxmr0egkw3g7QBwVmQkMb2bWritdeW0Bv7+SaUWbNusXu3Z+hVCqFz1FgYCC5uVp27uymqsrasTjYj08iMRAbm8eqVZk4O1ui7oSEBJYtW0ZLSwuffPIJfX19rFy5ksTExBGvpKWlhUuXLlFWViYoGwUFBQnNKEMhOzubnJwcdu3ahbe3t822/v5+zp8/z5UrV9DpdEJX8oYNG4Z1YNBqtVy/fp3c3Fzc3NxISkoiNDR0wiUAq3KTn58fq1evnpI++zviy0N8ra2WkOk3v7EUzgZ2McrlloJaair8y79AcvJ9e9rqaggPn5ybNFgusarK0uwyHrz55psEBASwZcsW8vPzKSoqIjQ0lGPHjuHm5kZXVxfTpk2jtrYWV1dXFi1axPnz5+nq6mLmzJnExcWRmZkp1NvAkgJVKpXcvXvXxooIRo+wrDXEtrY2TCYTJpNp2GMm48w+kEBfeeUVLl26xOXLl4mKiiIvL89mtlGnk/LOO9+ivX1gB9HgG7NMpuUPf2ihuflTzp2L5MSJlZPys3sQEBdnZN++Gt56C958MxCdbnLNGf7+vbz99hnKy8sFz0YrxGIxMTGLOXIkkWPH9HR3i3FwkOHpaSI5OZeZM2/g7u5KbW3toMWPs7MzycnJdHR0kJ2djbu7O7t37x6y/nYv+vr6yM7OpqSkhPb2dkFdKC4ujsjISJu6YGFhIenp6Wzfvn1YlaWWlhbS0tKorq4WGmISEhJITk4essZoNBopLi4mOzsbvV5PYmIi0dHRExpa1+v1nD9/nmvXrpGcnMyCBQumpM/+DvhyEF9eHqxYYWGfkUIvkchSUHv+efj5z+E+fKBKSiAhwZZnJwKlEm7ehPEKvL/xxhuEhoZ+PjTfz69+9SteeOEFXn/9dRwcHOjr62PevHkkJyezd+9e6uvrCQ4OJioqipMnT6LRaIiOjmbOnDkcO3bMhgC9vb2ZNm0aBQUFgl3SeC2DgoOD0ev11NXVYTKZhKjsXsIbLtU4VlgbBMrKyoiOjiYqKob/9/9yOXFiOW1t1tX96Gk4gAUL2rl2zXXSAsx/H1ijKyPPPdfLb39rIY6f/xxeeWXyoxLOzl1897tv4OPjw9atW9mzZw9tbW04Ojqi0+lslISUSiVgWeCsWbOG/v5+0tLS0Ov1LF68mPnz53PixAlKSkoGCShYP2vJycksX758zFGUwWDg2rVr5Ofn09TUJDSjzJkzhwULFiCTyaioqGDfvn2sW7eOyMjIYc9lMpnIz8/nzJkzQrept7c369atGzKqNJvNVFVVkZ2dTV1dHfHx8cyfP194H8aD1tZWjh07hlqtZv369WM2vJ7C/cGDT3yFhZCUNHhSfCQ4OMCTT8Lbb0/66evqYNasyUd89vaWc413Zva1114jOjqalStXAhbBbG9vb06dOoW3t7dAZDNmzGDNmjW0tLTw17/+FY1GQ3x8PG5ubpw+fRqj0UhiYiIzZ84kLS1NqHkAeHh4EBkZSU5OjpAGGkiAw0Vu1khPJBKhUqnw8/Oz0fW0s7PDZDLddxIsKIghI2M1Op1sgo0cX8yg+hcPM05OOn7963bmzm3izJkzzJo1i9TUVN5/X873vmexRJoMgoI0PPfcb2zSyRs3bmTevHnC7+Xl5Vy+fJna2tpBMnMuLi4kJCRQW1tLZWUl8+fPFxpVNBoNhw8f5u7du4P+/q6urmzevHlc9l8mk4lbt25x5coVamtr0ev1qFQqwsPDCQkJ4dChQyxatIiEhIRRz9XX10dGRgbFxcU2DTFr1qwZ0hmitbWV7OxsiouLiYiIICkpCQ8PjzFfO1iItKioiMzMTGbOnElqaup9U5WZwsh4sIlPrYagIEstb7xwcIDf/nbscwTDQK8HN7fx8e5QcHGxzACOMFo0JH7xi18wf/58li1bBlgcojMyMmhvb8fV1RW9Xk9gYCAqlYrLly8L6ZOcnBzOnDmDVCpl9erVdHR0cOnSJSQSCcuXL8fX15ejR4/aEKCrqyuLFy/m3LlzdHd3C4Pz1qjPmpIZqhY4kARFIhGRkZHcuXNHENtWKBTodLpJO9CfObOES5cWfelTlBOBvb2OHTs+JTi4UtBjtbOzQ6fTIRIt57//ewFq9cRrlWKxmfj4ctat+wgYvECJjIxk27ZtNsfo9XoOHz7M7du3B9VfJRIJMpkMg8HAvHnzWLx4sU1dq6Ojg7/+9a+DrKjEYjE+Pj5s2rRpUK1uJAzsytRoNILjSXh4OJs3bx5zVFlRUUF6erpghzVSQ0xfXx9Xrlzh6tWrTJs2jaSkJIKCgsZVB9RqtZw5c4aioiJSUlKIjY2dmv37gvFgE99778F3vgMjiBePiMBAy/DdJD9E//RPlvLiRIMUe3t46SV49dXxH/uzn/2M5ORkFi5cCFhWib/+9a/RaDQ4ODhgb2+PSqVi586dtLW1kZaWhlqtZsOGDXh7e3PkyBEKCwtRqVRs2bKFvLw8YfZp7dq1ODs7c+TIEVpbWwXycnZ2ZtWqVWRlZdHc3IxIJEIqlQo3wXt/H4iB0aGDgwMJCQk0NDRw584dDAbDiDXE0WqCly/HceLEqq8l6QHI5Rp+8IPXkcstYtLW+qpCoaCvT83rr79ET8/E/eikUj2bNx8iMbGJHTs20dXVRX19Pbdu3bJJkVstutzc3Dhy5Ag+Pj6sX79e0JW9cOECubm5yOVydDqdTZpTJpMRHBzM0qVLbTolb9y4wdGjR4XPxsDPiEQiwd/fny1btoypJgiWTspLly5RUlJCT0+P0MxizXqMhVgMBoMgdK3VaoVzbNy4cdB16PV6CgoKyMnJQSaTkZiYSGRk5IhD9PeioaGBtLQ0xGIx69evHxfpT2F8eHCJz2yG2bPhc6WSCcHREY4ehaVLbR42GAzjmqe5exeioibe2SmXW17GRBxMXn31VVauXEl8fLzw2OnTp8nOzkahUODq6opIJOKpp54CLDeMmzdvcuLECWbPns2KFSvQarXs27dPqP+tXbtWaP92dnZm8+bNSCSSQQTo6OjIhg0buHz5MuXl5YAlfTnwRma9uY3WEBMUFERERAR5eXnU1dUBQ6c8hyLGnh4lWVmLuHIlAfgy1uUmD5nMyNq1N1mwIG3YxUF2dgKnT6dMYmFgQiIxIBJBXFwh3/mOiU2bwgR1n5qaGvbs2YN6QN5fJpMxa9Yspk2bhq+vL76+vsjlcrq7uzlz5gxlZWUsWbIEX19fLl26RHl5+aDPj7e3N7GxsYSGhrJ3714qKyuJiIggPj5eGEW4N/UeHBzMpk2bxlRf6+3t5YMPPqCrq0tYfPn4+BAbG0tsbOyYyMm6qKysrByxIcaqKZqdnU17ezsLFiwgLi5uVC3Sgcdfv36dM2fOMGfOHJYtWzZkqnUKk8ODS3zXrlkIa6LRHlgivQ0b4PBhwCJUm56eTk1NDa+88sq40gnr18OpU5aG0vFALrccu2/f+I6z4ic/+QmbNm1izpw5wmOtra28/fbbyOVyAgMD6erq4tlnn7U5TqPRcOrUKW7dusXKlSuZM2cO5eXlNvW/+fPnc+jQIWpra/Hy8mLDhg1otVqOHz9uowwjl8tZvnw5lZWVlJaWYjabhRSWNb0pFouHbYQZ2CQjlUrx9fWlpqZmyBEKkwmqqoLo6HClunoaRUVR9zgtfF1TQGa++91fMXu2I1FRUZSVlVFZWSl8hhUKBZ2d8PrrL6LV3g+VEBMSiZGZM8v5138tYNGiWIKDg9HpdBw5coSKigqbtKZSqcTFxYWWlhacnZ0FIrS3t6ewsJCuri5SU1MJCwtDp9ORnZ1Ndna2kEq3fj4kEgkKhQK1Wo1UKuXhhx9m1qxZgMUJPTMzc5Asn1UtZf369cPqY5pMJtLS0qivr2fu3LkUFRXZDM1HRkaSmJg4JscHa0OMVTDe29t7yAaVhoYGsrOzKSsrIyYmhsTExDFHrH19fZw8eZLy8nJWrVpFRETEg5H+1Olg/36LCHFLi6WZcMYMePxxS6DyJcGDS3wffggvvDD54lpQEE05OaSnp9sYnz7yyCN4e3sLLfkmkwmz2TzkzyaTiZ4e2Lo1gLo6GXr92KIOmcyIv7+W3/3uOnZ2hkHnHOr57n2spKSEadOmoVAobLZVV1cD/1c78/DwGPK8BoMBrVYr2BkBAmFZce84g3WFaU2nDYSzszMmk0kYDB8qQhuPI/z06dOpr6+nq0vK9euxZGcnodfL6O+3ynvB15fsBsKMm1sv//RPvxLebw8PD0JDQ2lqahI86y5dCufgwfXcr/dMJDLi5dXCM8/8GWdny981LCyMDRs2IJVKqaysZM+ePQIJ2tvbs2rVKsRiMfX19dTX19Pc3Cw4gygUChYtWiTUy27cuMGlS5dwc3MjMDCQ6upqGhsbbYyYxWIxM2fOZOHChTbNL9evX+fcuXP09PTYfAblcjnR0dGkpqbajByYzWaysrLIz88XTG0rKirIzc2lsrJSGJoPDQ1l0aJFowpeq9VqMjMzKSoqErJIQzXEdHV1cfnyZW7cuEFwcDBJSUn4+fmN6f2vrq4mLS0NJycn1q5de98cJcaN+nr41a/gnXcsvw9sc5dKQSaDOXPgBz+ALVsmXV76ovHgEt9vfwsvvzzpyXGzhwc/evHFQY9LJBLs7OyE9nuJRCL8PPB3q5+dWCxGo1Hw6qvLqa93QqcbeYZHLjcwY0Yvr756Aycns3AOa3R078/Dbdu3bx8pKSmCjqF122effSaMKpSVlfHkk08Oe06w3GCys7OJj48XXLDT0tIoKipCpVKxbds21Go1R44coaenh9mzZ7Nx40ba2to4cuQILS0tAqHZ2dmxZs0aFAoFR48epa+vD6lUir29vY3YtaOjI319fUOSoLXLD6CyciaffLINs1n0ta3fjQ1mnn76PebOtdg+dXZ2Cn9fX19f3Nzc+Ld/i+X27furQiMSmZg+vYonnvgQsRihi3fWrFlER0cLC8gPP/yQ2traz48RERMTw+bNmzEajbS0tFBXV8fNmzepqanBbDbj5uZGQEAAPj4+9PX1UVRUhIODA4sXL2bWrFm0tbUJfn0DYWdnh6enJ3PmzCEuLk4oW1y8eJHs7OxBnaYODg4sWLCAJUuWIBKJhFTizp07bQiotbVVGJrv7e0d09C8FVVVVRw7dozm5mbA0hCzYsUKm0yNTqcTBuJdXFxISkpi1jOkOfsAACAASURBVKxZo87xGY1GQdd0wYIFLF68+G8rfXb5ssVeRK2G0Xw9lUp46CFLf8YDbM774BLf++/Dt789uVQnYA4I4EdPPz3h4wdGNCKRCJNJSlFRNFlZiXR0OGMwSAXrG7HYhFRqwsenj+3bK1ixohWFQopUKkUmk437u0gk4kc/+hHPPvvsoEL3H/7wBxoaGli+fDnZ2dn8y7/8y6ivpauri4yMDJqamgTppM7OTvbu3UtDQwNBQUFs3bqVu3fvcvz4cfr7+4mNjWX16tU0NTVx+PBhGwKUyWSsWLGC6dOns2/fPtra2hCJREKnIVgWGPb29jZ1oYG4fTuUvXu3o9c/uP8kDw7MODl18/LLvxEWE9YboMFgoKvLiTff/DYGw/1/LyUSPU89dZCAgGLhMWu6G0ClUjFt2jS8vLzo6OigoKBAuEaVSsXTTz+No6PFk6+/v5+LFy+Sm5vLtGnTcHJyorm5mdbWVpRKJf39/UilUuLi4khKSkImk3H06FGuX7+Os7MzCoWC9vZ2m5lCFxcXQkJCWLhwIa6urhgMBk6fPk1eXp5N9AgIUV1paSmbN28WUqkD0dfXR25uLkVFRaMOzQ+E0WjkwoUL5OTkDNsQYzKZhIF4rVZLYmIic+fOHXUgvru7m4yMDBoaGli3bt2wjvb3FTduWARBxnMfdnCANWss9Z0HNPJ7cInv3DnYuHHSk+M9cXG8vnHjoMcDAgLo6+tDo9EIbfYDfe+sX9b2fMDGZVwsFlNT482dO7Pp67P8Qzs69hIWdhtv7wZBEeXeKNJ6voGEOlR60no9JpMJhUKBnZ0ddnZ2Aik2Nzej1WpRqVR0dXUJK9+xEGp9fT0XL15k2rRppKSk4OLiQnV1NYcPH0atVjN//nxWrlxJbm4u586dw2QysWjRIpYuXUp9fb1AgNbanVQqJTk5mbi4OPbs2SO0p1tTqwOH4x0cHNBoNJjNZpqbPfjjH781FeWNC2b+7d9+gp3d4HrqmTNLuXBh0ag2TBN93rCwRp59dg/d3d2Dui7BkmL09PRELBbT2tpKT0/P54tFCwGKxWKWLVvG4sWLEYlE9Pb2cvbsWUpKSli8eDGxsbG0tbUJnaTV1dXo9XpcXFwIDg7GycmJa9euodFoSE1NJSkpyWamUK1WC9elUCjw8/MjPj6eWbNmYTAYSE9Pp7i42Eb1BywR4dq1a4mKihrylRsMBm7cuMGNGzeEoXlPT0+io6OZP3/+sHXFzs5ODh8+PGxDjNlsprq6muzsbGpqaoiLi2PBggXCAmE4lJWVkZ6ejo+PD2vWrMHZeeKdvCNCrbZ0xk9Ep9fBAX70I/je9+7/dd0HPLjEZzJZ2iA/dyKYEJycuPtf/8VHQ5BnaGgoQUFB+Pv74+vri9lspqenh56eHrq7u+np6aGzs5POzk66u7vp7e1Fo9HYpEh7e3txcHDAaDQKZGWdXbKuCK2EZt0HsCEiayp1YOF6IAH29PQIBGM9t0wmQ6vVotfrhW3+/v7Cee4tgt9LrNZr6evrQ6fTIZVKhW0D63NWlwa1Wk1vb68gV+bl5UV/fz/V1dVoNBrhGKshaGRkJDdu3BAIUKlUYjQahTqQNVX2xz+mUFQUMWaz2CkAmFm9Op0lS/IG1Wo/+WTH5/ZKXwxkMkt38vTpFjLIy8sjMzNzyLEWiUSCk5MTKpUKhUJBXV2d0AwCllpgZGQk06ZNQyaTCb6TqampNo0cd+/e5cyZM7S2tuLu7o5Op6O9vR2z2Yy9vb3g6efp6YlEIqGrq4ucnBzKysro7OwUmmZkMhlubm5ERESwYMECAA4fPkxZWZlNl6xIJMLd3Z01a9YMKSZtNpu5ffs2ly9fpqamRiDm8PBwFi5cOKT+prXT+tSpUzYNMRs2bMD/81bvtrY2cnJyKCwsJCwsjKSkpBGd3PV6PRcvXuTy5cssXryYhISEcY1OjAnvvWeZ5Zpon4WHBzQ2jn94+W+AB5f4AH75S/jP/5y4bIq7OzQ2UllbywcffDBos7WGZzQa8fT0JDAwEH9/f/z9/VGpVIMIxGrY2tPTI6w0586dKxCl9bu1iC+Xy5HJZEKkZzab0ev19Pf3o9Vq0el0whCyVCoV6orWfY1GI+3t7UJjgMlkQi6XY29vj1arFVIpJpOJmTNn2hwLCCRnNBqF5x34JZFIhHk86z+8UqlELBbT3NxMd3c3dnZ2BAcH4+DgQFVVFW1tbUI7uaenJ93d3cKg+sDnVqlUODs7C/Wce6FWy3n99e9+IWm5rzbMxMZeZ/Pmo4O2vP/+k1RVBX1hzywWw5/+NFgToq+vjw8//FCobymVSlQqFU1NTZYr/v/snXl4VOX99j+zL5lM9oTsO0lYsrCDosguaNFSlypaStXa1qrVtr/W9u1r159vbbVW627rhiIiFUQQZBURZEkgZIWE7Ps+SWafOe8fwzlmyEI2MLS5rytXkpkzz5xZznM/z3e57/PfZc8Y3oVPcrkcf39/Ojs7UavVOJ1O1Go106ZNIy0tjeDgYBQKBXV1dXz++eeUl5czffp0AgMD2b17N93d3eh0OpxOJ2FhYYSHhxMREUFERATBwcFSFebJkydpbGyUdntyuRyDwUBcXBwZGRl88sknWK1WzGazV3WyXC6XKp77Kkipra3l8OHDlJaWSr21Ysh1woQJvY63Wq3s3LmTvLw8qSBm6tSpLF++HLVajdls5vjx4xw7dowJEyYwd+5c4uPj+63obGlpYceOHXR2drJy5cqL5iL7Qs9UTo8bR6ed7J13PJG7MYaxTXytrZ7l5XBWHHo9/PrX8MtfAp4vyAsvvIDL5WLBggXMmDGD7OxsioqKaGxslC44jUYj9fpER0dLRBgREeEV0vj888/p7Ozk+uuv7/XUDodD2j32JMQL/1YqlRgMBqkRXdwpigRis9koKSkhLCyM7u5uqcRbq9XicDiwWCwYDAa6urpISEiQHud0OnG5XNjtdmw2GxaLBafTiVarRavVSqQsPqdSqaStrY2qqipCQ0OJi4tDoVBgtVopLCykq6sLg8FAdHQ0NpuN2tpaiXS1Wq30XH19lcTQZnBwMK2trdKkcujQXPbvXzAe5hwyBLKyTnLnnXtxu92YzWZUKhWCIPDmm9/izJlLWVIu8KMflfHMM7F97i5cLhfvvfeeVIyi0WiYN28etbW1VFRUEBcXh5+fHyaTiYaGBq+mePhqV+Z0Omlvb5eiGYGBgVKkQavVUl5eTnl5OVlZWahUKg4ePIiPjw8LFy7EYrFI1aSdnZ1MmDBBIsKIiAiCgoKora3lyJEjVFRU0NXV5ZW+0Gg0LFmyhIiICLZt20ZdXZ0XEYoGtjfddFMvV4eOjg4OHz5MUVERHR0dqFQqYmJimDVrVp+uDlVVVXz88cfSAsFoNLJkyRKmTJmC0+nk9OnTHD58GLlczty5c5kyZUqf77sgCBQUFLBz504SExNZvHjxkPRDDx48yNGjR1m0aBHp6emeaFV2NlxzzYhrLLj2Wti/f2RjXAKMbeID2LvXs2IYyq5Pp/O84du2eW2zzWYzO3bs4Oabb+6VnG5qauLEiROUlJRIF6ROp8PHxweZTEZbWxtBQUESEebk5DBz5swBRXAHgiAIWCyWfknRZDLR0dGB1WrFaDTi6+uLr6+vRJLiZJKVlUVOTg5ZWVm4XC6JIMXf4FmBi4/rSXY9SdbtdmO32yX9RTHPYLVavUhNr9cTGhoqrcJFm6Rp06ZJbhEnTpzAZDJ5KbHIZDKioqKoq6tDJpPxxhurL/Ek/Z8KgcWLd3H11Ud63fPpp4s4cmTOBU7zo/vcy5btZO7cL6VbxDYZtVrtFeVobW31Cm0GBAQgl8sxmUxSqNvPzw+lUkl9fb2XfdaFEOXZxEIeh8OB0+mUiFGn0+FyubDZbISGhpKQkCD1lXZ3d9PV1SX9OBwODAYDvr6+GI1GjEYjarWaqqoqGhoavIqw5HI5Op2O0NBQgoKCKC4u9iJK8Zjg4GCysrLQ6/USublcLkpLS6mqqqKjowOZTEZAQADx8fEkJiZ65ftF4iooKMBut0sN9ldffTU+Pj7U1taSl5dHe3s7kydPJi0tDa1W65XWkMlkOBwOjh07xpkzZ5g9ezZTpkzxSqP0rC/oedtnn33G0aNHUalUaDQaFixYQFZxMfL77x+5On94uKcVYoxh7BMfwPbtcMstntaGi/WH+fjAddfB++97useHAUEQKC8vJycnh4qKCkwmEwqFAqPRiL+/PwqFgpKSEnQ6ndeuMDIyst9E93BQV1fHK6+8woMPPtiLFMvKyqivr5dc2RUKBQEBAdIF7evri8FgkApjxGS6xWKRSLEnQYq/XS6XpM6iVquJjo7G398flUpFfX09ZWVlyGQyUlJSiIiIoLW1lYKCAqxWK3q9nqCgIBwOhzThXPj10mg0xMbG8vjjSzhzZmiivuMAEPif//l/6HS9lRRaWwN4/vkfXMLwscDNN/+bjIzTgzq6L6eOmJgY4uPjOXfuHPX19YSHhxMfH09QUBAmk4nPP/9cygXL5XLCw8Pp6Oigu7vbSyRBlM0Tya9nnlEM2wcHB0uLPoVCIaUaekZjurq6cDqd+Pj4SNGXjo4O2tvb0Wg0WCwWrx2fGKXR6XS0tLT0cp0Q23giIiKk53S5XFLNgNVqlQQgDAYDRqNROk48v5aWFq98uMFgwGAw4HQ66erqwmq1otPp0Ol00mMBrzHEQp/+julZqGe1Wnu1HN3a0UHaSy+NXJ3fzw/a20c2xiXAZWwGGQFWrIBjx+D3v4cPP/QkG3p+IHK5Z5cXHu4Jba5dOyJLIplMRnx8PPHnPYTcbjf5+fnk5uZSU1MjlUcHBASg1+vp7Oxk37591NfXExgYKBFhVFQUQUFBw1Zc8IgPe1bHFyo+ZGdn89FHH3H33Xfz3HPPERkZycqVK70IsqmpyesiN5vN6PV6rx1kdHS09LdYKi5eYMePH6egoIC4uDhCQkIwGo0kJSVRXV1NQUEBhYWFANKYXV1dVFVVERAQQHp6OkajkdbWVo4ePSpVyNpsNs6cOQNcPezP578XAiDQ1BRKTExVr3sDA9uIiKilsnLwDgdDRXJyyaCPFQumeqKyslISX5DJZDQ0NFBXVyflun7wgx9gNBp57733KCoqkuTtoqOj0ev11NfXc/XVV6PT6aisrJRCpi6XS3ouQRBobm6mo6NDUoHx8fGRwqXJycmEhoZK+cPu7m7q6uqora2lrq5OkuCzWCxMnTqV5ORk9Ho9ubm5lJWVYTKZaD8/mYs9hYGBgVRWVkrXX3FxMeCpdBXFvcV2BdHaqLy8nLa2NgwGg9Q037NBPS8vj927d9PR0UFnZydhYWF8+9vfxs/Pj6NHj5KdnS31GV6oGiMIAidPnmTPnj2kpKSwcOHCfqXPXnjhBSk/azAYPH2UZ8+OTlHKGHWbuDJ2fD3R2uqpNtq/3/O3TudxcLj3Xo9x3mXoG/nss884c+aMdOE6HA70ej0RERHExMSgVCqpra2luroam81GZGSkFxkOVnuvqKiITZs28etf/7rXffv2FfHjH9s5e3aq1FMql0NYmIzHH4d77unN/S6Xi66url5h1Z7/i+EpkQg1Go30GmfOnElCQgJGoxGn08nmzZupra0lMjKSRYsWSQuE06dP43Q68fPzo7OzE39/f9xuNx0dHdIqc+vWG8jJyRqv6BwGVCo7t976fp8kVFqawIYNt12C3KlAcHATDzzwwiiP2z/Ewq+ebQparRZfX1+USiVLliyRFqfgCYGWlJRw7NgxKioqvEi3p5uFQqGQFI0CAgIICwuTSDE0NJSAgADJ/PbYsWOEhYVJFaJirjA0NJTGxkZKSkpobm726ik0Go0YDAZaW1t79a/qdDqmT5/Oddddh1wup6WlhUOHDklN8xqNRiIzUaXGbrfzySefkJeXh8PhQKlUMnnyZBYvXkx+fj5HjhzBYDAwd+5cUlNTvdI4ZrOZ3bt3U1JSwtKlS5k8eXKvhfg777zTSyQg0+Vi1VNPjTzHN38+fPbZyMa4BLjyiG8M4L333mPSpEmSKkNbWxvHjx/n7NmzkjO5n58fcXFxpKZ6ysurqqqoqamhrq5O8q4Tw6TBwcF97gpPnTrFtm3b+NWvfiXdVl8PCxdCYeHAnnJKJTzyCPy//ze01yYIAna73YsITSYTlZWVVFRUSGFTs9kshVFNJpM0KWRlZeHr68uBAweoq6tDoVBwzTXXcPXVV0vu04cOHaK6OoI33vjOKE/QfX2Vx2YD7UihUtlZt+5fhIfXU1UVwc6dy2huDj4vqCDD5VIwuoLeAt/+9jukpAx+x3c5oFarSUpKIjMzk5iYGGlR6XK5yMnJ4dNPP8VutxMQEMCkSZNobGykpaWFrq4uKUwptheJYVmxyjssLAylUsnp06dZsmQJycnJXjvDmpoaZDKZpEuqUCgkybWeZK3RaKSd54WhUYPBwLx585g7dy4Wi4XDhw97Nc1HREQwffp0KV9XU1PDtm3bqK+vBzwFMYsWLUKpVEqqNbNnzyYrK8sr7SIW0ohybt3d3VIRkNls9gpHazQaAvz9ue8vf0FWWjr8D8fXF956C1atGv4YlwjjxDdECILAk08+yf33399v42hVVRXZ2dmUlZXR0dGBXC4nMDCQ5ORksrKycDgcVFdXSz8Wi8VrVxgZGYlOp+PYsWPs3r2bX56vTM3Lg2nThmaPtGgR7N49Gq/cE3rdt28feXl5LFy4kKSkJIkcT506dT6E6ZlIxNDmhb1mfn5+BAcHU1FRyd/+dj/NzQPrIQ4NAr6+baxe/SFxcVX84Q+P/Ye3S1x46cr6uG80iF8478z+zCiMdXmgUCjQ6/WSe0llZSWCIDB9+nRWrFgh5bzr6uo4d+4cNTU1tLS0YDKZvFSHxIIam80mVXROmDCB0NBQQkJC0Ol0NDc3S2RYW1srCbEHBQXR2tpKQ0MDnZ2dXi0dGo0Gu93ulT+UyWT4+fmxYMECqRf25MmT1NfXS03zPZ3mDx06xBdffCH10sbFxTFz5kxyc3MpLy8nIyOD6Oho2traJKIWdU3Dw8OZOXOmFKF66qmnvN4/f39/fqzTIX/00eH38Z1vJ+NyyqsNEuPEN0Q0NjayYcMGHnzwwUEd73a7KSoqIjc3l6qqKqn8PDQ0lLS0NKZNm4bb7fYiwtraWoxGIyqViqamJu655x5crhDi4uTD8gT81rc8tT6jhbq6OrZt24ZSqWTlypVSo21dXR1vvPEGNpsNjUYjFd5ERERgMplobW1FpVIRGxuLzWZj69ZAPv74+kuy69NqrdhsmvFQKjAyEhRQKJw8/PAz+PqOMOw1hiCSTFhYGElJSUycOFFayIo5wrKyMqqqqmhqaqK9vV0iRDFsKlZSarVaIiIiCAsLIyQkBL1ej9VqlfKXtbW1qNVqwsPDkclktLS00NHR4bX7E/uJe07HMpmMwMBAli1bhiAIHD161EvNJjU1VfLp/PDDDyWFGLlcjkqlksYPCgoiPT2dtLQ0goKC6OzsZNeuXdTU1Ei74JISz05eLpcTEhLC9773PVR2O0RHwwAVt/1Cr4ff/AYGIaX4dWCc+IaIY8eOUVtby6phbt/tdjsnT54kPz+f+vp67HY7Wq2WyMhIpk6dKukANjY2smfPHsrKyvDz8+OPf7yVhoZQhruCP3DA05YzWnC73Zw4cYL9+/eTmZmJXq/nwIEDUrO9GA6Njo7mlltuwdfXl/b2dj788EPJScDlEnj33W9RXBx3CXZmo7nj+U+AgErlwGBop709eJALAgG12s59971EcPAwJr8rFKLerJ+fH+Hh4aSmppKQkIDT6eTtt99GLpcTFBREU1MTHR0dkgRfTwcUl8uFwWCQdog+Pj44nU5MJhN1dXXU1dWh0+nw9/eX2pp6aor2lEkUIZLSzJkzKSgokJRjxGODgoLw8/OT2owAQkJCiI2Npbi4mJCQEObMmYNGo+HUqVOcPu2pzg0ODmbWrFls3bqVgIAA7r333q/8A48f97SGDbWdbMkS+Pe/R1RkeCkxTnxDxAcffEBiYiKZmZmjMp7JZOL48eOcOXOG5uZmXC4Xvr6+xMbG4nK5qKqq4jvfeZSQEIGRTOLTpnksDkcLgiBQXV3NqVOnyMnJwe12ExMTw8KFC4mOjkYul1NaWsqHH35Id3c306ZNY/ny5dTX1/P+++9L6jVOp4L33ruFkpLkS7A7G9l79p8HgenTj5OenseOHculnGDv98iNXC6QmlrEihXbMRhGWNL+Hwi5XM6ECROIO2+wbDQaKS8vlypN29raMJvNkpSfWHAi5v8jIyMldSiLxUJTUxP19fXo9XpUKhVmsxmLxXJRey+j0UhYWBiNjY1S03x0dDTTpk2jpKSE/Px8SdrQx8dHkh5MTk5myZIlGI1GSTA8ODiY1atX4+fnJ3k9xsbGwhdfwPXXg8Vy8TyLj4+nCv/tt2EUW7tGG+PENwQIgsBTTz3FunXreqk2jBbq6uo4ceIE586dk5p6P/nkFo4cSWOkk3hbGwzSB7NPuFwuysvLKSwspLi4GI1GI2kmzp07l3379vUSzhUEgcOHD7Nv3z7cbjdKpZLrrruOTz/9VLqoTSYDTz/9MIJwKTT9xsmvJ+RyJ//n//wRmQwaGkL48st5nDsXj9WqRiZz4+NjJisrh6ysHPT6kVmC/bdCzC+GhoYSGxuLj4+PRGwtLS1esmhirlGsBvXz85Oqr7u7u6XoiSj1NhARKhQK/Pz8pGpRmUyG0WhEEAQ6Ojqk43Q6Hb6+vpIg/YwZM7BarezYsYOOjg6uu+46tmzZgkwm46GHHvLs/iorPRKS//ynp5f6AseL8y/GM8H85jeeljI/v9F+a0cN48Q3BLS2tvL666/zk5/85LK4IW/evJny8nIee+zHF/X/uzgEHnqok7/+1WdIYrZ2u53S0lKKioo4c+YMQUFBpKamEhYWxieffEJSUhJLly6VSsQPHjzIsWPHmD9/PrNnz0Yul9Pa2sqmTZukhuELsXfvAr74Yt5/eCHKWIHAqlVbyMo61ee9SqUSPz8/accxFPRlSjyO3lCpVFJjvSg7193d7VXoIkIU+xYb3c1ms6SXK4rND/Se9wyZBgYG4uvrS0NDg2ROLdpApaenM3v2bJqamti4cSPgIeWMjAy+8Y1veAZrbfWEMPPzPU7s/UHs3XvvPbjhhuG9SZcY48Q3BOTk5HDu3DlWr159WZ5v48aNtLS08OMf/4A+rokhQmDWrGJWrdpMeHi4VEEaHR3dywbFYrFw5swZCgsLKSsrIyoqitTUVFJSUjAajRQWFrJt2zaWLFnSZ8i3ubmZ7du3YzabmThxIidOnGDmzJl8/vnnvS5uT0XZ/bS2Xkpn6fFd31cQCAho46GHnr2kz+Lj4yM1h/dUWxG1cHuWz4/DG0qlErVaLfkdWq1Wr/dQEASUSiU6nQ6NRuNlSjzQjlCUKhPtwcTPR3SVEUOyPYtu5HI5a9euJVqngxkzPG45FzOjFaHTwSuvwJ13juj9uBQYe3WmYxgVFRVSU+nlgBibH52liYzo6FQeeeQRampqqK6uJjs7m61bt6LVaiWH946ODpqbm0lISCAtLY1Vq1ah0+kAT35iz549nD59mjvvvJOIiIg+n0nMFaxfv55Dhw7h5+fHgQMH+jzW6XRitw9eUHd4GCe9ryCjq+tSv9/0ckEXpcVEKa7h4L9lRznQwqCn84ooRtHzPtG6TOzH7fmYnjJlPRvrRdLr6zndbjcb1q/nZxs2DI30wBMOvfdeiI+H89WnYwXjxDcEVFRUcNVVV1225xNtSxSKi0uUDgbBwR7li8TERBITE2lpaaGgoIC8vDxKS0sxGo1SSXV3dzcNDQ2oVCqioqJQqVRs3rwZh8PBvffeO6D6e0lJCVu3biU1NZXW1tZeAsTiJBgdHc3EiRP5859HvJ0dxxDgdl/+Sru+wnhDxX8D6Q0W/e3sRBuyCyHmEvt6Dy/22XxTo4HS0qGRngiLBX76U0+BzBjCOPENEmLfTXDwpRdWdjqhrAzy84Px9XUTGwsloyCYcdNNAnV19RQWFlJUVITFYiE1NZWlS5dKVkSAZD1UVVXFqVOn2Lp1q6R+MW3aNFpbW9FoNFJzrwiHw8Hu3bspKioiMTGRY8eO9Xsud955J0lJSdTW1uLj4xyxFu7FMR7uFKFQjMIqahxXFC5WHToQYjZsGH4TO8DJkx5fv+Tk4Y8xyhgnvkFCDHNeyqKW/HyP4fHevZwPb64YtbG1WidFRc9x9qyC1NRUvvGNbxAZGdnn69FoNJJId35+PtXV1ZLHV3V1NXl5ebS0tBAWFiZJr6nVanbt2kVISIjkzt0TYlVacHAwXV1dlJeXU1xczKlTp5g48VpaW2dfQjudcXwFgYCA1osfNo5xAAEtLahyc0c2iNMJzzwDzz03Oic1ChifaQaJS5nfM5s9eePzZgc9MFokK3DzzTXccccdhISEDIq83W43e/fuJS8vjzVr1hAeHg5ARkYG4Kn2FHeFBw4coKmpCYVCQXNzc5/jKZVK7r77biIiIjh+/Dg7duyQwi4rVpRx/Pi8USjg6Q/jIbKeWLLk06/7FMZxhSC6unrkkmMOB3w6tr5z48Q3SFRWVjJz5sxRH9dkgpgY6NFmM8oQUKtl/POfsYO2J7RYLHzwwQe43e5+83lqtZqAgAAOHDggKeZ39mNaGRwczDXXXIPdbufNN9+ktrZWSsR7FDK6iY6uoLQ0FkEYD0deSqjVdpKSyr7u0xjHFQLtYJrWB4MepsRjAePENwiI7s2iJuVowe2GlJRLS3rgUWwZLOk1NDTw3nvvkZKSwpIlS3o51YvIy8tjx44dJCQkkJeX1+cxOp2O66+/nvb2dj777DOv3aDYInHixAksFgsrVuzkxRe/i91+KdQermQyHc3cpMCCBQdH0AL25gAAIABJREFUaayRQZQFsw3QD2YwGJgyZQrHjx/vt8rRI33n8ir3V6vVTJ8+nalTp+JwOCgqKqKgoEDy0OsLKpWKiRMnStqXNptNMqMWDZXFasn/plYMl0IxOrJjqrHVozvexzcIFBQUcPLkSe64445RHfevf/UUPF1aCHR2gsFw8clTJLPly5dLlksXwmq1sn37dmnX1trad75ozpw5LFu2jLKyMrZu3So5XQcEBJCVlUV2drakFC+TydDpdJSVxfLKK6uw2/uS0RrHyCCQlHSWtWvfx+l0olKp0Ol0UgXvSIofxvGfi5TCQm7fsWPkO7YZMzxm4mME4zu+QeBS5feeeGLUh+wT//M/HfzjH/1rlYn9eQUFBdx1111MmDChz+PKy8v58MMPCQsLo6Wlpc9jfH19ue+++wCP8kxhYaHUlrF69Wrq6+s5fPgwU6dOpb6+HovFwrRp0xAEgcjICpzOf/LOO7djs2nP7/7GMgFeCULYnnNMSyvg1ls3IW5WHA6HZJ46jv8+KBQKNBoN/v7+hISEYLVaJdf4nihNTGTEyXeDAe6/f2RjjDLGd3yDwIsvvsgNN9xAVFTUqI15/DhcgpRhn0hPb+TUqb7DtGazmQ8++ABBEPjWt76FXpQb6gGXy8W+ffs4deoUer2exsbGPsdatGgRV111FSdOnGDXrl2SnFJGRgZxcXHs3buX6OhoZDIZ5eXlLFiwgGnTpiGTyfjnP/9JdXU14AkBl5UlcOiQR0fSQyxjkVzGMvF5zs3fv43Fi3czZUqvyqlxDAN9uSaM1pg9xxVVVMT7hhJeFW2JDAaD5DAfGxtLQkICMpmMpqYmyfD2YuMqFAoeLinB8M47w8/16fXQ1PSVlNkYwPiO7yKwWCy0tbVJVY2jhX/8Y1SHGxBNTW7sdruXIzNAfX295Ca/aNGiPvN5TU1NbN68GZVKJeU6L0RQUBD33nsvbW1tvPzyyzQ1NeFyuQgICOD666/ns88+o7GxkYkTJ1JQUEBWVhYPPPAAWq2WzZs3S/YoIuRySEw8R2LiOX73u1/hdo/Fr6kAuBldl/PRxY9+9CwhIf3bCQ1mEhdVPcAz+YqT8Wg0pF9KKJVKyS/vYhBd251OJ263e8D3YySEp9frEQRB0kC9mPh0f++xUqlEo9FgMBgICgoiIiKCxMREQkNDe13DVquViooKDh8+zIYNG/oNactkMsLDw6mtrfW6XavVov7pT2HjxuERn1oN3/nOmCI9GCe+i6KyspKoqKghCTsPBp5N0+Vpqvbzg6KiItLT06XbTp8+zSeffML111/PlClTej1GEASOHTvGgQMHMBqNVFVV9TpGJpNxww03MHnyZPbu3cuJEydwuVwoFApWrlxJTU0NW7ZsITU1lZKSEsxmM/feey8BAQHs3buXgwcHLrRQKBS43ZfCsWGk8Ex+CoUTl2vsWq/k52dw440nMBgM+Pn5odPpsFqtmM1murq6sFqt2Gy2XgaoPXHh5Hul5AKHskPqWWAjl8tRKpXnFZM8372+Fns9IUqpqVSqAYlWlAkTj++L8ESTW7FSOiQkhOjoaJKSkiTHk/4gGuiWl5dz9OhRmpqa+j1WoVCgUChISkpi6tSpREZGkp+f70V8Wq2W++67D7XRCP/3/8Lvfw/dQzAjVio9RraXK6czBIwT30Uw2vk9UQC6ri4Y6FvrcrQxZYqK3Nxc0tPTcbvdfPrppxQXF/ebz+vq6mLLli10dnZiNpu9dP1EhIeHs27dOs6cOcMzzzyD1WpFEATS0tKIjIxk7969xMfH4+PjQ2lpKYmJiQiCwDvvvNNvr5+I0NBQadc4tuAhB5VK4NFHX+aJJ77P2AxzenDw4DwyM0/g7+8xPh0sBgq9Qf87EZE0wJNDFHdSNpvtipEbE8lIJpMRFRWFXC7HZrNhsVhoaWnpk1DF1yaSXk8z2r4gHi86YcTFxVFaWoqvry/z588nKSlpUL22drudmpoazp07x8mTJwckaKVSiVwuR6vVMnnyZFJTU4mKisJkMnH06FG2bt1KQkICa9asYePGjbjdbtasWfMV2f7859DeDn//++BMadVqiIz0OGBfhLC/Dozn+C6CV199lSVLloyI/Do7OykqKqKoqIjq6moSEhJYv34xH30UyOWYOCsrHbzzzlOsXbuWnTt3IpfLWb16tSQ+3RNFRUV8/PHHGAwG6uvre90vl8u55ZZbCAsL46OPPqKiogK3241OpyM+Pp7S0lLAs+IWTXXDw8NRq9X9tj2IUCqVvSaWxx//DWODXATkchcLF+5l/vwjuN0Cv/3tWDm3/uA558TEMq699hiTJjUil3vU+S0WS5+WNmI7gK+vLxEREaSlpREREUFTUxMNDQ3U19fT3NwsOY/3DJf+J08lBoNBsgIabBWsWq0mNjaW8vJyXC4XMTEx1NfXS64IInQ6HQ888ADnzp3j4MGDyGQy5s+fT1pamrTYEASB9vZ2qqqqKCkpobi42MtF4ULI5XIMBgMWi4XQ0FBSU1NJTU2VJBerq6s5cuQI586dIzMzk1mzZuF/3qzz5MmTaDQa0tLSeg/81lvwi194qjz7Ilq93pOkX73ak88Zo55848Q3AOx2O3/5y1/4+c9/3kuX8mJoaWmRNDFbWlqYOHEi4eHhNDY2UlZWRl6enldfvYdLO3EKTJwoo7gYNmzYQEVFBdOnT2fhwoW9cgF2u52dO3dSWlpKZ2dnnxd2SEgIaWlpnD171msHodfrJXX3oKAgmpubyczMZMGCBdTV1bF+/fohh8ji4uLo6uriJz+5B4dDM7yXP6oQ+PWv/4BS6Xkd1dWRvPrq9xjbxCfCjUrlIDm5hG9+c7P0GkYLo1HwcaU5L/j5+eHj40N9fb20QzQYDF4msyJkMhl6vZ7u7m6ioqKYPHkyp0+fpq2tTYqUgOc6uvvuu+no6OCzzz6js7OTyMhIzGYzlZWV/b4/Yp4wICAAmUxGZ2cn8fHxpKSkMHHiRMl2zO12U1RUxJEjR+js7GT27NlkZWVJO/NBw+326Cr++c+Qne0hQLUaQkPhBz+AdevgEhl1jxbGiW8AlJaWcvDgQdauXXvRYwVBoL7eWwB64sSJKBQK6urqaGhowOFwYDAYiI+PZ8aMGWRlxdBPG9woQWD7dhmRkbls374djUbDww8/3CuMUl1dzebNmwF6OSmI8Pf3x2g0Ul9fL600o6Oj8fPzo7CwEKPRiMlkQqFQSOGhi321fHx8etnXzJw5k7Nnz0rNxrt2LeaLL+bx9RKMgL9/Ew8//IJ0y8aN36KgYBJXBvF5oFQ6iI6uYs2at1EoRv+yF3eLBoMBX19f3G63lFO02WxDbp+4FBWUlwKTJk2ivLxcSgmEh4fj4+NDeXl5v7nGRYsWkZSURHZ2NqdOnZIKawYDpVKJIAjodDqMRiNmsxm73c7EiRNJSUkhISHBq5DNZrORnZ3N0aNH8fX1Zc6cOaSmpvYrTvHfgHHiGwB79+4FYOHChX3e73a7qaqqkshOoVAQGRmJxWKhoaGBzs5OlEolYWFhTJ06laysLK8v5BNPwC9/eanOXiA9/RS/+EUhTU1N3HrrrWzYsIHrrrsOhUJBa2srLS0tlJeXYxqgOTUqKoqkpCROnjzppXxx4QpdoVAQEBBAaGio1yTQF/R6vdf9MpmMadOmUVBQ0Mv12+FQ8Mc//oqvj2A8r/GnP30Sg+Grarzf/vaXV6SotkrlYMaMk1x//Sfo9Xo0Gg1ut/u8L6JdClGPJsSCDTHsHRkZKeWnmpqaMJlM0qT/nzQdBQUFsXz5co4dO0ZJSUmfxObj4+NlNNsXehrIGo1GjEYj7e3taDQaUlJSSElJkfKRPdHe3s6XX37JqVOnSEhIYM6cOaPaknUlY5z4BsC//vUvrrnmGhITE6XbnE4n586do6ioiOLiYgwGAwaDgc7OTlpbW3G5XBiNRhITE5k5c+aAbRBuN0yY4GlxGV0IXHddK9dd9zwymYywsDDa29sxm+2Ulk4hJ2cOra0+mM1uNBob0dHlzJnzJcHBfTel90RQUBAOhwO5XC5dgIsXL2bKlCm8++67nD17tt/HarVaLyNShULBlClTKCgo6Hc3EBISwt/+tpCzZ1P4eshP4E9/aiAoaKsU3vWQ8WOM5VaGgaBUOnj00afQ6azSpNqz0lCEQqFAq9V6SXWJje+jPW2IDdUGgwGVSoXNZsNkMknftYu1GYxlaDQarrrqKqqrqzl79uywXodYXKTRaLDb7aSnp7Nw4cI+dXQHyt+Nw4Nx4usHTqeTP//5z/z0pz9FEATOnj1LUVERJSUl+Pn5SbF0s9mMSqUiIiKC9PR00tPTh5QPbG2FqCgnFouCwU/sfbVBiJViDm666TBZWYfQ6/WYTCYmT87i3Xfj2LEjGZdLhs3mHdOXy13I5W7CwhpYvHg38+e7mDZtGocOHaK1tRVBEIiJicHf35/S0lLCw8Opqalhzpw5zJ07lz179vDll1/2e7YXlnmrVCqSkpIoLi7ucxUsl8vx9fWl47yIqdsNf/rTL3E6L3/rgMFg4tFHn0aMDk+YMIG8vKk899xcrqQwZ08olXYWLtzHvHlHBnW8uGNTq9XSj0iG3d3ddHV1XRYVGLGHUCTBgcxVr3SIMn59RU6Sk5Px8/MjLy+P9PR05s2bh6+vL0VFRRw+fJiurq7h5+/+S3BlEJ8gwGefeRKpbW2eyqGoKFi1Cnx9L8lTFhYWSv5y5eXlGAwGnE4n3d3dCIKAv78/SUlJzJo1a0TmtMXFxbzxxibefPNRamoGUpIWy8rdJCRUUFUVhcPhIVi5XCA4uIMVKzYTH1/nRSZWq4a3376LhoZQHI6LC8XqdALf+14+ISGbpTxCRkYGJ0+eJCIigoaGBpKTk1m4cCFnzpxh27Zt/Y4lrtRFqNVqIiMjKS8v73OyUqlUuFyuXmSoUql4770V5OZmXvT8RxNKpZ3VqzczefJZ3G43SUlJNDcn8bOfTRvUezmW4evrIfTRhEwmk3Zt/v7+hIaGotFoqK+vp7a2lu7u7lETeBbVSXQ6nVSdLFaaevo/+24KH4vQ6XQ4HI4+3xu5XI6Pjw9dXV29RL19fHxITEyk8LyfWVBQENdccw0pKSn/1fm7wWBsE5/JBG+8AU8+6SE8u93zo1CATufRkLvjDnjkEZg0acRP197eTmFhIYWFhdTU1EiqFXa7HY1GQ2RkJJmZmUyePHnEXyxBEKipqeGf//wn0dHRxMbGcuyYm1demUxpae/eOj+/bubP38fs2aeRyb5SiBdDRDqdTtLPXLBgAampqRiNIaSlNVFTE4zTOfhGcKXSzqpVH7FmjYLq6mo0Gg02mw0fHx+WLVuG1WrlrbfeGvR4Go2GwMDAfnvJdDpdr9weeIhSLKQ5cGA+n312zWXLqykULh56qJ677mri9OnTtLS0YLfbefrpu6ivHy0Vn6/PFV4mc/PYY/+LSvX1OA2IOb+QkBCMRiMymYzGxkaam5sxm80jIi2xn1CtVkuFVgO5QIw1iLvqC/vylEolkydPxmQyUVZ23lrK7SaytpYYlQpbRwd+cXGk3HYbYT3EKsbRG2OX+AoK4LrrPKWyAzVMKhSeUtr//V+PffkQIAgCTU1NFBYWkp+fT1tbGwqFArvdjiAI+Pr6MnXqVGbNmoXfMPpRxFBQa2trr5/m5mYcDgcKhQJ/f3+pwMBqtWKxuGhqCqGz04CPj5PIyG7CwhRYLBa6u7u58cYbiYqKIiAgALlcTldXF5s2bcJkMtHW1sY999xDZGQkv/oV/PWvLmy2oaufqNVOfvnLfxEVJaO7u5slS5YQGhrKiy++OOjiB3E13p+DQ1+E119Ze3u7keeeewCn8/LstGJioKLC05by0ksvER8fz+HDXbzwwtpROgcHHv2Ir4f4lEoHDz/8LAZD3x6KXzdkMpm0qNPr9V49dBaLZdjEKI4rRiNEGbYrZXcoQms2M6+oiMy9e1Hb7QgyGQgCMrkchdNJ/dSpqB57jLDVq0F2ZYbkLyXGZllaYSHMnQudnZ4w50BwucBigcce8xDkBWWSe/fu5fTp0zx0nhTFnVZBQQG5ublS2b3L5UKr1RITE0NmZiabN2/mhz/8IdqLGNkJgkBXV1cvYmtpaZEmfJVKJeUmxKo58UITd5QGgwG1Wk1FRQVarZI//OFbvUKodrudJ554ArfbTVBQEAA1NTVs3LiRzMxMZsyYwdNPP82ePXu4/fa7efZZ97BIDzx5tc8+m8zvfy+QmZnJs88+O+hVs5hwFyepnuhJbD3vu1gBg7+/iejoKsrKRNHqS4uWFjO///1fpc/J01y8Ard7tEJIX28oShDkGI1K5HLlgJJlXxfEYhoxvTAQRHkxsZd0oHBqX356PUnvSugnTMvP5+Z//xtBJkPdT241IicH55130vDLX9K9cSPxmZmDUoP5b8HYI77ubs9ObzCk1xNmM/zhD5CeDitXAvDxxx9z/PhxAI4cOUJNTY1UUOFyuZDL5QQHB5OamsrMmTOlRs/q6mqCg4Ml0hPJTSQzccfW2NhIR0eHtIoEpLFFnzmVSuWllB4SEkJFRQXl5eX86Ec/IjAwEPAYwL700kuo1WoeeeSRPpPSarWatLQ09u7dS1ZWFjk5OezevZsbbrhBUlkIDQ2lrKyMJ54oxmaLA4aX3HY6lWRnz+HLL//B7t27B/UYg8GAw+Hoc6K6GLENtOLW6XSEhoby8587efBBBw7HpS9ycTg8FY1ms1kKuZ49mzwq2qEqlQunU/a1us3LZG6czjbJY1QsHBEnfpfLJfXlibqOPe8XCcTlcklVnuJOqucx4md+KcnkYmQ3FIx10svMzub6HTtQXeT1ygG13U5QWRmqJUt4/Ve/YvayZUPv3xME+Pxz+NvfPFG47m6PzdDkyfDwwzBv3hW5oxx7xLd+vSe8OZwvoNkMjz2GsGIF77//vpT0Bdi5cyeAJK01ffp0EhISpPsFQcBkMtHa2srRo0cRBIHXXnuNtrY2zGZznyXf4sQgNpKKxBYeHk5ERESfu8Xs7GzOnTvH7bffLpFeS0sLL7/8MgqFgoceemjASqyVK1fy5JNPsn79etra2li7di0hISHS/TNnzmTbtm289poOu31kFV1Wq50TJwKZOHHgLnu1Wo3T6RxQK3A4oSS1Wo2Pjw92u53W1lZkso+ZPXsWX34585KTn1rtxGw2SyX9drt9lNzhBcLCOqmu/vqknORyFxkZp5DLPdEIvV7vUeG/oGpT1HcUJ8oLCU10PhfbHGw2G1arFbvdjs1mk1IG4jgXEqf4+LFONmMFcWVlrNi+/aKk1xNKlwtjezuLn3qK100mjP7+XHvttUydOhWFQsEzzzxDRkYGCxYs8H6gIMDrr8NvfwstLR7C6/k5FRXBjh0etZbHH4e77rqiCHBsEZ8geGRwhqIAfiFKStj2xz9S2Ece6uc//7k0idbW1nL06FGam5vp7OzEbrf3UooQd2z+/v74+fkRGBhISEgIERERREREDFnGrLa2lm3btjF//nxSUlIAj47nCy94FEF+/OMf9+mHJ56Tw+GQqrvKysq4++67sdlslJeX43A4OHfuHMfOuxx3dIxcGNbtlmMyXXycgTQDh4r4+HgWLFgg+fYB7N+/n66uLrKzs1m0aDdOp5wTJ6ZfUvILC/MIabtcrgEb/IcKlUogIqL9ayU+lUrG738fTFTUNykoKKCkpITQ0FBSUlJQq9W9CM3hcJwnfrvX333973Q6JeL08/OTCLQniYoECEg7QnHnKFY3in+Lu8meItlXck/fSLDsk0+GRHoilC4XoY2NxJaWUpaYyJYtW9i5cycymQyLxcKBAwckoQrAkz665x6PFVF/9RWC4Jmny8o8MmVffAHPPw9XSDXp2CK+L7+EPoSRhwSbjdmHD5M9a1avu/785z97/S8Sm16vJyIigpCQEEJCQti9ezcPPPAAvv20SohhHovF4nWh9vVb/NtsNnPw4EH8/Pyw2+1s27YNq9VKQUEBgiAQHR3Npk2b+nysGFISy7QVCgUul4t///vf6PV6FAoFbW1tXjsup3PkH63bLeuzkONC5ZWRQq/Xc+2115KZmemlbNPV1cWGDRuoqamRbpPJYPnyXSxdauDVV6NoavLB6VQgCD1DkCOrllSrbcyZ8zlarZYJEyZIOVyt1jpistXp5ISFRY5ojJFALncRElLL0aNvcPToV7efPXu2X/EBkbDEH4VCIZGZUqnE19cXlUqFRqORiK4nUcFXi0mRtMR2A5Fkxe+1KFTe0xpIvAbEx4p+dGLVprgovFB55krI1w0WofX1BI5A31BttzPv0CHKzotx9BSSAFi/fj0PPfQQ/n5+8MMfDkx6F8Js9ohXazTwzDPDPsfLibFFfKdOeaoqRgKXi8CSEuiD+OLi4vD19ZUKSdxutxfJmM1m8vPzEQShFwn1/C2SkHiRX/j7wtvkcjn5+fmoVCoyMjKkyX3fvn0IgsDy5csJDg4ecIzc3Fz27NnDN77xDVJSUnjttdew2WwsXbqUTZs29QozqtX2EW2cAeRyNxrNVxeI2NYwWqQ3depUrrnmGq8iHofDwfvvv9/vJCxWgsrlm7nvPqitncDRo3Oorw9FJvMlLExPa2sVtbXhw2541+kEli4VmDdvNRs3bkSpVOJ2u5kyJY/jx+ficIwkpCNgtR4G5o9gjOFBJnOj1Vq59daNQ3rcWOmJE5vWRXcJs9ksEVvP5vaexw8XY4005xw+jGIEUnIyIK6iAmNHB6Z+KtSfeeYZfp2RgWL9+sGTngizGV57DVasgGXLhn2elwtji/g6OoZvb98DCrO5zxJlMX8hrjSVSiVardaLZM6dO4dKpeKqq64akNiGUiG1fv16XC4XP/nJT9Dr9TgcDp5++mmcTif33nsvERH9+/K5XC527NhBRUUF3/3udyWSWLlyJS+99BJvvvlmr9epVCqJja2lvd3vgp3Q0CAIMsLD6yTlldHohQoICGDx4sVeSXbxNZ44ccLrWJlMRlpampf2p1gJqlKpmDFjBpMmTaKgoIDDhz8kMzOToqIiurvtPPvsw3R0KBGEoYVetFoX8+fvoaamis2bazEajVJ/5Pe/7yQnRzbsr6hC4WTKlC9JSjrNp5+OHvGdr2QfECoVBAXJOXDAh4kTH5Vud7ng5EmPbJ7L5RHVj4tr4+jRAxQWFpKSkkJcXBw2m5M//SmSTz8NxeFQIAigVLrIzKzgrrv2IJc7pQVkz11cz7DkaBBJfwQ82sQ8lkgPIL68HMUIX6NToSCypqZf4gPgT38afqqpu9sjQDxOfEOEXu9x7R1hhZZMp+NXv/oVhYWF7N27V2oruOWWWy6alyssLCQ9PZ24uLgRnYOI/fv3U1payrp169Dr9bhcLp599lksFgtr164dkPQ6Ozt5//330ev13HPPPVLRS3NzM1u2bAF6X/Cpqam0t7cza9Yh8vMn4nAMn/iCgtqYMKFxxGsRhULBrFmzmDdvnlQ5C/D555+zb9++Xq8hNjYWi8VCY2MjBQUFvcZbuXKl5Op+6NAhioqKpOdxOp0oFG7uvvtfvPzyfdhs6kGTn1rtIDPzDLfd1s5VV93OBx98IFULKpVK7r57Pq++6uTzz+UMpx1BJhOYNesY999/Pa++6jiv/jL83aNMBrt3exbamzd70isXLtR9fDxBlDVrPEXPoaGe25ua4JVXPMV6VqvnseJc73IF8N3v3sTatQvJzf2CpUtjaGkJEp9VGtvhkHPsWBLHjiURFQX790MPWdtBw263k5eXR25uLtXV1RiNRqk/1eFwSMU3YmvD5ZBHA7xykT1vE3+LuccLSfJCoh8NEtWMwqJTLgho+xCKEBHY3IziIp6ZF8WRI1BeDqM0f14qjC3ii4nxLE0viD8PFbaICF55/nk6Ozu9cmMXK+MVBIGKigqWjdKK5ezZsxw4cIAVK1YQFRWF2+3mH//4B52dnXz7298e0Ny2qqqK999/n+nTp3PNNddIF9jx48fZtWtXr/JtjUbDlClTpF1TYqIOf/92mppCh3XuarWNq676fFiPFREREcHSpUuJiYmRJoy8vDy2bt3aa/IKDQ3F6XTS2tpKRUWFdLvYBlJdXU1qaiqFhYWcPHmS3bt3Exsb67WQ6bljDAxs4557XuH119dis2kukptzo9EI3HWXnaSk7Xzzmz9iw4YNxMfHS+a569atQyaTMWvWaxw79h1stoH7Oy+EVutizpxDPPDAjezbt49rrqllz54FQxrjQmzeDAsXen7a2uBf/4L33/fov8pkEBLiIbw77/RUoIt4/nl49FHPMf3Ngy+9BC++aMTpXM5gcqbV1ZCUBFu3wo03XvzcBUGgvLycI0eOUFZWJi1a/Pz8iI6OJiIiQko9tLa2eoXye7ZZWCwWBEHAaDRKPbjh4eGUl5dTUlJCaWkpMpmMxMREEhMTJcueuro6CgsLKSkpobm5mcDAQAICAjAYDLhcLqkqtWfBjfjTs2VJXLRdancJYYiFdH2OIZPhUvS/EM7MyRnxpgO321MN+vjjIxvnEmNsEd/y5SOvCvL1xXH//XRXVHhVGxqNRs6ePUtMTEyfzuPg2Ump1ephqbRciPb2djZs2EBGRgYzZ85EEAReeukl2traWL16NRMnTuz3sSdOnGDv3r2sWrVKOq6rq4stW7ZQUlLS63idTofb7ebEiRPI5XL8/PxwuVwsXbqH995bPeRcl0zmRqezMGlS4cUPvgAajYZrr72W6dOnS7nMyspK3nvvvV65QX9/fwRBoKOjg8bGRul2Pz8/Zs+eTUpKCiaTie3bt0tC4Wq1WiqiOHPmTJ8hZ7lcTkpKChkZGRgM/yA7O4vDh+dhs6mx21WIuzWtVkAQIDGxnD/9KYDOzo9JSppPSUkJDodDIr34+HjCw8PZtm0bRmM93/nOu7z++h1eYw0Enc7N5MnSfrylAAAgAElEQVQn+N//1ZGdnU1dXR2vv76C2FgZbvfwCnGCg+Gmm776PyDAo9z3yCMDP+7xxz0KgBdbW3qvSwZ/ft/4hkdWd/4FkVxBEGhpaeHs2bPk5+dTX1+Py+XC39+fjIwMEhISqKur4/Tp0+Tm5nLq1Kmvnv28katCoaCrqwtBEFCpVERHR5Oenk5SUhL19fWUlpZy4MABGhoaiImJITExkblz50rpgbq6Og4fPkxxcTGdnZ1MnDiRBQsW9PKvGyxcLhfNzc1UVVVRU1NDc3OzJNpgt9tHNfzapdOhH6BdaDAQZDK6e66ALkDwaKSa7HY4d25kY1wGjD3Jsl/8Ap5+2vMGDgfBwVBfj93lYuPGjVRWVuJyuYiPjwc8Oyl/f39iYmKIjY0lNjZWqt48fvw4NTU1rFq1akQvwel08vTTT+Pr68v9998v9QTW1NRw4403Mm3atH4ft2PHDiorK7n99tsldZbi4mI2b97cq21Ar9ej1+tpbvaU3vv5+WG1WlEoFMTExNDR0cH778dz4MC1g65GFAsg7rvvZQICOgb9mpOTk1myZInUU9jc3Mz69eu9PPzAQ9LiBNYTAQEBzJ07l/j4eBoaGiguLpacMNra2rzyiz1tckSIoTCn08mCBQuorq6mtLRUWoEbDEZOnQoiJORGHI4A9HqIjITrrmvh00/fZOXKlezatYt169bx4osvYjQapWrSkJAQyXJKRFtbGB98cButrf7YbDL6qjswGEAQ3Myf/yk/+IENvV7PF198wW233UZKSgoHDnSyYIE4EQ2eXJRKj4xtP+u3fvHWW3D//UOvWxgObDaP315VVRWVlZWSg7jb7SYiIoLJkyfT3t5Ofn5+r++CKMysUCikqI1erycyMpKpU6eSlpaGxWKRdnTnzp3DYDCQmJhIUlISMTExkuB5WVkZxcXFnDlzBqVSSUpKCqmpqb3861wuFw0NDdTU1FBXV0dLSwsmk0ky0P26+w3XtLaS+OqrI/rwrBoNT/7sZ7j72T3etWEDCefTBiPCzTd7whFjGGOP+KqqICWl/xjMQNDrqV63jjM330x0dDRGo5Hjx49z/PhxqYjE7XZTV1dHRUWFdEFqtVpiY2NpamoiNTWVq666akTyPi+//DJtbW08+uijKJVK3nrrLc6dO8eSJUuYN29en4/p7Oxk48aNGAwGbrrpJsl3a+fOnWRnZ/c6Pjk5mZKSEq+L0dfXF51OR0hICPn5+dLtR4/OYNeupbjdMtzu/jf5arUNnc7C2rVvEBDQ3u9xPZ9v8eLFTJ48WQo7vfXWW73EqEX1mgt3fCEhIcydO5cJEyZQVVVFcXEx1dXVhIeHI5PJaG1t7beHTqfTkZSUxOnTpwkMDEQmk9HS0oJcLmfatGkkJCSwcaOnelEMdavVan7xi194jXPkyBEaGhqorq4mIyODnJwcOjo6vEhOq9VK0nYajYaMjAxaW1u54447yMmR8dRTnhCjy+UG3LjdCiZPlvGTn9iprv4bkZFBZGZm8vHHH7Ns2TJmz56N2WzmL3/5C+XlkfzrX+vOP9PFv3NaLdTUwHntg0HD6fR4P7Zc3HJxFCAwZ86X3H13DjKZjLa2NoKCglAqlTQ1NfUqpVcqlZJQdUdHB06nE51OR0REBJMmTSL9vOByZWWlRHYmk4mEhAQphClGaSwWC0VFRVK+UIwOCIKAzWaTim+GMu2JLRyiG0RPST7xfC81NFYrj/7lL8Pq4wNPYcuROXPYs2RJv8fcvHkz6bm5wz3Fr3DvvfDyyyMf5xJi7BEfwLvvwve+NzTy02rhqqv46Ec/Ijs3V5JZcjgcxMfHs2bNmj7JTBSqrqioYNeuXWg0GuRyubQjjImJITQ0dNBE+NFHH3Hy5El++MMfEhQUxMaNGyksLOTaa6/trY5wHpWVlWzatImZM2dy9dVXI5PJqKmpYcOGDb1Ww76+vlIPoUwmQ6vVIggCVquVKVOmSOG5C9HSEsCXX84mJycLmcyNy6VAEOTI5S5kMvDz6+Dqqw8xeXL+gIr9olv6ggULJKumTZs2UVxc7HWcXC5HrVb3muTCw8OZM2cORqNRWo2bTCbCwsKwWq3S7k6UgLtQEHv58uVoNBqqq6vJz8/HarV6TZq33XYbqamplJaW8vbbbwMQFhZGQ0MDN910ExkZGYBnd52dnc3evXtxOBx9hqUMBgOPPvooW7duJScnB19fX9LT0zl16hTf//73vQp13G6B3/3ur0yalMnq1YuRydz8/e9/RxAEVq5cyYYNG5g9ezbLli3DZrPx5JNPSpGIpUvXcMcdcvbt6/dtR6n05Opee82jyz5UbNniEdfovCya1AIg8Mc/PiHlw3pCrVZLxqjt7e2S+0l4eDhpaWmkp6ej0WhoaWmhsLCQ4uJiamtr0el0EomJubehkpgoLyj2Avb8EZ0cLBYLnZ2dfTqGfJ24afNmJufloRxGCNWhVPLcAw9gGsCQdk13N4nPPz8yARGDAf7+d/jud4c/xmXA2Mrxifj2tz2k98ADgyM/vd6jGbdlCys0GopLS+nu7pYKW+bNm9cvcclkMkJDQ1Eqleh0Oh5++GE6OjqoqKigoqKCI0eOYLFYiImJkchwwoQJ0sTcEzk5OWRnZ3PbbbcRFBTEli1bKCwsZPbs2X2SniAInDhxgv3797Nq1SqSk5Nxu90cPHiQfX3MghMmTKD+fIO/TqeTFC9SU1PJzc3tl/TAU6G5YsUnLFmym7Nnk+ns9MXhUKHVWoiIqCMiom/LIBEhISFcf/31UrXrjh07JJWYnhB1Ld1ut0R60dHRzJw5E6VSSUlJCZ9++ilqtRq9Xi/JXFVUVCCXy6VJ0uVySX5jubm5aDQa3G43e/fuJTY2lvj4eGQyGQaDgcDAQCoqKpDJZFJOdMOGDdI5NTY2IpPJqKqqYv/+/ZhMpl7CxLNmzaK+vh61Wi3lUb///e/T0tJCTk4OOp2OsLAw8vLyuPHGG71ID+Dgwc9QKq2sXn0dCgW8/vqbmM1m7rzzTt58800mTpzI0qVLcTgc/PWvf8XlchEREcGdd96JQiFn715PXcATT8Dbb0N7u4fggoLgN7+Bb35zwI+nT1gsnjmopMRDfJeH9EDcudbX6wgKMqHVagkODsbhcNDa2ordbqepqUkqUNFoNLhcLknDdseOHX2OOhr9oz3Fry9clI0Gemr29lSAksvlBAUFERkZiUqloq6ujvr6+iFVqH6yfDmx5eUYOzuRD4Hs7SoV+5cvJyAjg5TQUEJDQ/n44497HVd59dUkPvfcoMftE4IAt902sjEuA8Ym8QGsW+cJef76154SWbe7d97PYPAY0f7sZ/Dgg6BQoABuvPFGPvjgA2kSLS8v71UBeCEqKiqIjY1FLpcTEBBAQEAAmZke49POzk4pNHrq1Cna29uJioqSiDAyMpLm5mY++ugj5s+fT2pqKp988gknT54kMzOT5cuX93o+p9PJ9u3bqa6uZt26dQQGBtLW1sa7775LU1OT17FGoxGTyUR9fT1KpVLKlcTExHD27FlyhxCeUKmcgy5aUSqVXH311cyZMweNRsMXX3zBW2+91WuFLSrJwFfyZfHx8UybNg2bzUZJSQkff/yxtMoXdT3F/F/P8aKjo5k4cSJOp5PKykopZGu328nKymLFihXS8+3atYtFixZJ2qqTJk1CLpdjNpul8FPPcvPs7Gz0ej3JycnMnDkTgA8//JDk5GRiYmI4d+4clZWVAMydOxeDwcDf//534Cvj0+Tk5F6FSYIgcOjQIWbMmIFCoWD79u1UVlayZs0a1q9fT1hYGLfeeitut5unnnoKh8NBSEgI3/3ud70WUHK5x2TksccG9fH0i8OHPTaV5eUjG2ekOHFiJkuX7sFqtVJdXe11nxh6HG0M1GYwFIii3GI1uFar9epl1el0koZrT5ukviy7xAVqY2OjVxHXYKDRaPD19cVut9OtULDpwQe5/fnn0ZlMKAYR9nRrtQiPPsri3/2OpqYmzpw5Q25urlefs1KpZOXKlZ757o47PFWZw2mWV6k8O71+ZBfHEsYu8QFcdRXs2+fRg3vuOfj/7J13fFR1vvff02dSJr0X0oEEAqEGCCBNujRRRF27u1h2V1dWd9f73LvPs5a7a13wWtayKosCglyagiAdEhKSUEJIQnpIr5Myk2nn+WM8xzQgDV2Rz+s1LyaZMzO/HGZ+n/Ntn8/x445LYZ3OMSfy2GMwa1a3TtCYmBgCAgKoqanhwQcf5MCBA7z77rssWbKE4ODgHt+qpKTkiuMFrq6ujBgxghEjRgCOOkJJSQnFxcXs37+fyspK7HY7bm5uhIaGcuDAAVJSUhg+fHiPjTIGg4HNmzfj5ubGww8/jEqlIjMzU5rN6whnZ2epziWaa7q4uFBbW3tFdZOBIjQ0lIULF+Lr60t2djavvPJKtzpGxy+O+GWPiooiLi6O5uZmcnNz2blzJx4eHlKDQFVVVafn2e12XF1diY6OxtXVlaqqKoqKijCZTERERJCYmIjZbKaurg6TycSsWbMkojh69CjgIKgDBw4AUFlZyQsvvNBpreLm9/TTT3eToNuxYwcmk4mkpCQ+/vhjVCqHPJtSqWTOnDls27ZNmiMbMWIE+fn5LFu2rNv5OnLkCHa7nTlz5pCamkpqairLly9n27Zt6HQ6HnzQUcN74403MJlMuLu788gjj/RZ67U3iIz892mqq6/3uOYxMplMyrbo9XpcXFxwdXXFzc0NpVJJY2Oj5ODu7e3N0KFDCQ4Opra2lpKSEsrKymhpaZE+g72dnZPL5ZKBs3ghptVq0Wq1UrZCjAjtdnu3koPRaOxXKlStVuPt7S0Z71osFul7bTKZcHZ2xt3dXSojxMTEIJfLMZvNtLS0OJrGnnmGqRs3EnPxIsjlKLsGBDIZODsjuLtT9cwzpEdFkfvmm8jlcmJiYpg+fTohISG8+eabtLe3s2LFCoYNG+Z47nPPweef9y/dqdU65mR+Avj3rPENAlpaWjAajfj4+CAIAllZWXz99dfEx8czY8YMaZMT8eabb7J69epOTge9gd1uZ926dZjNZsaMGSMZ2qrVahISEqQ6oVgQLy4u5osvvmDixIlMmTIFo9HI1q1bKeiyW3XUwxRbrZVKpVTbuB6YNm0a2dnZjBkzhsOHD3dLBXW9ipbJZAwbNozw8HDq6urIzc3FbDaj0+loa2uTXC3g+41IpVIRGBhIcHAwLS0tFBYWIggCkZGRhIeHEx4e3omgXn75ZZRKJWazmT9+FwqVlZXx8ccfY7VaO61Jq9Xi5+cnzQF6eHjQ0NDAmDFjWNzDcNlLL73EyJEj0el0lJaWSs/71a9+hUKh4K233kKn0xEWFkZxcTH33nsv/v7+nV5DEAReeuklxowZw9ChQ/n000+ZNm0aWVlZNDc38+tf/xqdTsf69eupr6/HxcWFJ5544qoOHH2BIEBqqqP29/77A1f8G0ysWQPr1tlIS0vj5MmTtLS0IJPJiIqKIioqisjISCkLIKKxsZH09HSysrJobGyU0t993aZkMlknE1uz2UxbW9ugCqqD4zvp4uJCYGAgoaGhuLu7S6MVFRUVaDQatFqtJHYuk8kkkvbw8GDkyJGEhITg5uaGIAjU19dLkWF1dTUNDQ24u7vj6+uLj48Pvt+lKj09PZHX1zv+499916FIYLVid3LCMGwYp2fO5JROR0BgoJSlEAlXxNmzZ3Fzc+t+wb9vn6Mzsy+pZScn2LXLYSn3E8ANS3w9obW1la+++oqKigqWLFlCaGgoAE1NTbz33ns888wzfe7m3LhxI4WFhTz11FPk5OSwY8cOgoODmTNnjhQVlpaW4uLigpOTE9XV1cyfP59Ro0Z1asDoCDEqEvUHxUaRaxly9gexsbHMnTuX/fv3k5eXd826h1wuJzY2Fj8/P6qrq8nLy5M28dbW1m5kJJPJpKFklUpFWVkZBoOBsLAwwsPDiYiIwMvLq8fz3tbWxt/+9jcp7aRQKDqlxzQaDXq9npqaGmbOnMnUqVPZt28fJ0+eBL5PwT7//PPdarIXLlzgiy++4JFHHuGTTz6RGiXCwsK47777pMhRr9fj6upKbGxsjx25hw4d4tixY6xZs4a3336bmJgYTCYTJSUlrFmzBk9PT95//32pOePJJ5+84hxpX2C3w8cfC7z4op3Ll2UYjTJ+LDf3niHwm98cwd//JF5eXkRGRuLi4kJWVhZNTU2EhIRgt9upqqqisbGxxxThtdDRB/N6jRvI5XJ8fHyIiooiPDwcLy8vjEYjDQ0NNDY20tjYSF1dHTU1NdKMoVqtxtPTk6CgIGkU5uLFizQ3N+Pk5MTo0aMJDg7uRHK1tbU4Ozt3IzhRw/dKsNvtlJeXk5ubS15eHk1NTURFRREdHU1UVFT/P2sHD8KSJY524KtFtjqdo/Nq9+7uw5v/xvhZEZ+I7Oxs9uzZQ2xsLLNmzSInJ4fs7GzuuOOOPr3OkSNHOHToEA888IAkL+bn58evfvWrTseZzWa2bt1KeXk5fn5+lJeXS2oQHSEq08P3LdROTk40NfV+nq43cHV15dZbb2Xr1q14e3tLc4BXglwuJy4uDnd3d2k2S/TJ66nhQK1W4+/vj5eXF7W1tVRWVhIUFERERAQREREEBARcUUWnoaGBEydOkJ+fT2NjYycRYj8/P2JjYzGbzRw9epTnn3+eV155BZPJxHPPPYdGo+HPf/6ztAaz2Ux0dDSrV6/u9B6CIPDmm2/i4uKCTqejtbVVGsF4/vnn2bZtGxcuXECr1TJs2DCampq49957u5Gz3W7n5ZdfZvTo0Zw7dw43NzcCAwPJzMzk/vvvJzQ0lA0bNpCfn49KpeLXv/51t6aYa8Fms9HU1ER9fT0NDQ3U19dTVdXEK6+M5+LFoB/ElLd/EHjvvQ9obzdhMBh+MJmxK0F0YhEFx8UGLHFMQWx4USqVEmFpNBqsVqtEcOLn0cPDA2dnZ6xWK83NzTQ3NxMSEkJcXBxxcXFotVoaGho4cOAAFy9exG634+zsjE6no6mpCbVa3Y3gxPfrDdrb28nPz5fIztnZmZiYGGJiYrrNJw4INTWONMLrrzsUDywWBxEqlY56npOTQzHhoYccXVg/Ifx71/iuE4YPH05YWBhff/01b7/9Nr6+vtKAe2+Rl5fHwYMHWbBgAWazmS1btuDp6ckvf/nLTsc1NTWxefNmPDw8ePLJJ2loaOD999/vcfZH/J1ofirOCQ0WVCoVdrsdf39/tm7dCnBV0hs5ciRarZbi4mJycnLQaDQYjUZpM+gIDw8P/Pz8sFgslJWVSSnP6dOnSwPFXSEIAjk5OZw+fZry8nJJfkpU6hDbzJuamli6dCkjR44E4NVXX8XV1VWqw4jHdZQ6E7Fy5cpuvzt79ixms5nAwEAuXbpEQ0ODdGxdXZ1EelFRUeTl5fHoo4/2GJGKtb38/HzkcjnDhw/n8OHDLF++nNDQUL744gvy8/NRKpU88cQTVyQ9s9lMQ0ODRGwiyYk3sdXearViNtvYsGEVRUXB2Gzdz+m/BwSCgkooL7987UMHCVqtFg8PD4KDg4mIiKC9vZ2SkhIuX75MQ0ODZFkkEh04rHlkMhnt7e1oNBpp3rOtrY2mpibc3d1xd3dnyJAhuLm5YbVaKSgoIDc3l8rKSmJiYpg8eTJBQUE0NjZSVVXFF198QUlJiUT0rq6uhIeHExQUJJHclTw3rwaxlJCXl8fly5cJDQ0lOjqaW265pVu6eNDg4wN/+AP8/vdw4ICjPbi5GfR6iI52aOX9RPz3uuJnSXzg6MpatmwZubm5bNq0CYVCQUJCQq+uukQ5svj4eAICAvjggw/Q6/U8/vjjnTbIoqIitm7dSmJiIpMmTeLo0aMcOnToiq8rPtdmsw1aWtPb25tly5aRkZFBWloawFWbYsR6pKhjKJpVCoLQqT6i0Wjw8fFBq9VKIxZOTk5ERESwfPnyHr/c7e3tJCcnk52dTV1dXSeid3d3Jz4+nsmTJ0s1vpdffhknJydaW1uldI/NZqOlpYWZM2eyf/9+AOmipWPaWCS2roRrNps5cOAAVquVnJwcKcXm7u5ObGwsf/nLXwBHU1FZWRkLFy5Er+9uxmu32zlx4gSurq4YDAbmzJnD119/zYwZMxgxYgR79uwhKysLuVzOr371K5RKJadPV7B+vYKyMgGj0YJGYyAuLhVv72JpPk10Neh63kTs3r2AgoLIPrtO/NBYvfrzax90BcjlcnQ6HU5OTpLSj8lkora2FicnJ3x9ffHz85MiJaPRSF5eHsXFxZw9e5bU1FQpwuvqCWgymSSHFrVaTVhYGLGxsXh7e+Pu7o6Tk1OnunRZWRkXL15k//79WK1WQkJCiIyMxG63U1NTw1dffUVraytqtVpqdnFzcyMpKYnRo0f3OPbUG9hsNkpKSsjNzZVq59HR0UyYMKHfEmv9hkIBt97quN0g+NkSn4igoCBpmPXtt99m0aJF3zsR9wCr1co//vEPvL29mTJlCu+88w5OTk78+te/lr5kgiBw6tQpjh49yrJly/Dx8eG11167IpmJKvCDpe0n1thiY2PJzs7mH//4x1WPj4yMRCaTUVBQQHl5ufTF79q15uHhgbu7O01NTZhMJtzc3AgPD2fBggV4eHTv4KuoqODEiRMUFxdL9Q9wkGZQUBCjRo0iPj6+x83BZDLR3t5Oa2srOp1OWtOxYw7h7MmTJ/Pyyy8DDrIWVTnge8++VatWdXvdEydO4O3tTVVVFc7OzlKK85FHHuGzzz7DZrOhVqvx8vLCxcWF4cOH93jODh8+LEW+CxYs4KuvviIuLo6QkBA+++wzcnNzAfD09OTXv/6WvXtnUFfn3+VVgvj22+HodG0kJR1n0qSTyOVIXY7+/v5ERkYSGhqKj48Pmzcr+e7a5d8YAqNHp+Ps3LlW3NEvT6FQ4Obmhr+/vzTXZrVaKS4upqCgAKvVSnt7Ox4eHvj4+ODn5ycRXX19PZmZmeTm5nLq1CnpYqyjO7toTqtSqfD09JSaqWpqasjMzMTDw4PExESpY7IjbDYb+fn5nD17VorkdTodNpuNtrY2ampqkMlkeHt74+/vT1NTE83NzZjNZuLj45k2bRqefZXV+Q6tra1cunSJ3Nxc8vPz8fLyIiYmhttvvx1/f/8BqUndRGf87IlPnN9bsmQJ+fn57Ny58zs1jVt7LAx/9NFH2O12VqxYwTvvvINarebpp5+WNm+LxcLu3buprKzkoYceoqysjNdff/2qaxAEYVAK80OGDCE+Pp49e/Zgs9l6tPQRER0dTUtLCxUVFRQVFXVyxu4IPz8/wFF78/T0lOp0fn5+nb6INpuNzMxMzpw5Q3V1tRSlyOVyXFxcGDlypCRP1hucOXMGpVJJc3OzJGEGDj1VFxcXqqqqsFqtuLi4oNfr+fDDD6XnGo1GPD09u40vGAwGTp06RUxMDCUlJRLpTZkyhcbGRnJzc9FoNJLo8YoVKzo932az0djYSG1tLUePHkUQBDw9PdmzZw8AWVlZnUQE7HZ48cUllJeLjus9b1xGoxPffDOH1NRbyc52SIt1xa5dP6YYRm+FtAWiovK44459WK0OsXQfHx+8vb3x8vKSCKShoYHq6mpJk9Xd3R0/Pz8CAgKIj4+ntraW9PR0mpqasFgs5OTkYDQaOzmriyMAHTMCQUFBhIWFERoaSkBAAEqlkoaGBlJSUti9ezfR0dHceeedkhWYIAg0NjZy+fJlcnJyKC0tlUoLWq2WwMDATilKLy8v2traSElJITk5GYvFgqurq9Ss1lM6/6pnSxCoqqqSUpg1NTVEREQQHR3N/Pnz+1wPvone42fZ3NIRX331FXq9nilTpgCOtNL+/fvJyclh4cKFDB06VDp2165dZGRk8Itf/IJPPvkEhULB2rVrpQ98U1MTmzZtwsvLi1tvvZVPPvnkmo0jA4VILFfStBShVqsJCgqiqqpKGjPo+l8v/s7b2xuDwYBcLic4OJgpU6YQHBzcqbussbGR5ORkqZNM3JRUKhVeXl7ExsYyfvx4tNq+2feI+Pjjj2lqaqKpqYnw8HAmTpxIREQEf/nLX5gxYwZ5eXmUlZXh5+fHggUL+Oijj4Dvx0DWrFmDr29nS6bt27fj6upKWloaSqWSlpYWVCoVzz33HC+++CJ2ux1fX1+amppISkoCoL6+ntraWurq6mhtbe3R4LgnyGQK1q17nNpad/rSbanVOuRqO5jSU18PISECbW0/5hW/+FnpuobvP0O3336J//zPdtzd3bFardTW1lJVVSWRnEqlwtfXFw8PD2nMQGwQqauro7a2VpLi6/jZlMvluLu74+HhQVtbG7W1tXh7exMcHExISIg0DtAxRVlaWkpycjJFRUUkJCQwYsQIyeOxurqayspKSdHHZrOh1+sZMmQII0eOZMiQIZ1ITBAE8vPzOX78OCUlJZLN0bRp0wgKCqIvsFgsFBYWSmSnUCiIiYkhOjr6miIbNzF4+Nmf5eLiYhYtWiT9rNFoWLhwIXFxcezYsYOsrCzmzZtHbm4up0+fZunSpXz66afIZDKeeuop6QtSWFjItm3bmDx5Mn5+frz22mvXdd0xMTGUl5fT0tJyTdJTKBSS/1nXAV+x+1FUiBAEgSFDhjB79mwqKirYs2cPQ4YMIT8/n5SUlG5NKDqdjvDwcMaPH39Vq6W+orKyEmdnZymFKpPJOH78OOBIcx48eBCtVovJZOoUZbW1tUlt4R1RXl5Ofn4+M2fO7DSyER8fz+uvvy4Rd1VVFQAHDhzoMQrvSnpyuZzp06ej0Wj4+uuvAbjnnnv47W8j6c81j8kkEBFh5E9/WicJYx8/PgmL5Rbgx+vgVChsqFQWTKbOFzJarZ1nny1n6tQ8qqurOHCgmpaWFmkIW6VSodFo8Pf3lxSQqqqqUCp1nDkzhMJCbwwGT1Qqf7y8DEcYbaQAACAASURBVCQllREersXZ2Zn29nbKysowGo3SkPrEiRMZM2ZMj7V4u91OZmYmJ0+epK2tDW9vb3x8fMjIyCAjIwMvLy/J4La5uZnIyEji4uKIiYnp8QKttbWV06dPk5KSgtlsRq1WM336dMaNG9enBpWmpiaJ6IqLiwkICCAmJoZ77733iqM8N3F98bOO+IxGI2+88Qa///3ve6wzmc1mvv32W86ePYvJZCIxMZG0tDRsNhtPPfUULi4uCIJASkoKx44dY+nSpRw/fpyi66QVJXY6il2IPUGj0eDs7Cx1XfYUnYjzbU5OTkRFRZGTk0NUVBS33347Z86cISsri5CQELKysiQiEJ/n5uZGVFQUkyZNum7dZO3t7bz88svodDri4+Oprq5mypQpbN++HYDZs2ezfft2ZsyYwZEjRyTS0mg0tLe3c/fdd0vzUw0NDdTV1Ukmtb2VyRLNTsVIYOjQofj7+/P3v/8di8WCr68vjY2NPPnkkzQ1NfH+++8DfJdKG8bALB0FVq36jGHD8rDb4bXXnqalxfXaT7uOUCgEpkzJ56mnztPebqaqqgaDoUHyR5TJZFitVtra2lCr1VI92M3NDYvFQmNjI/X19ZSX2zl+PIHU1PEIgoL29u/JXKWyIggwdGgZd999mfnznQkODsbLy0sSoTh06BCurq4kJSVJc7Hl5eUUFBRQX18POOqqori8Wq2mrq6OgoICmpqaJFuiiIiIK3YaFxcXc+LECUlUIjAwkKSkJKKjo3tFUna7ncuXL0tkZzAYiI6OJjo6msjIyEGZ47yJgeFnHfGVlpYSFBR0xc4rtVrNLbfcIhm8pqSkIAiCNI9lsVjYuXMnNTU1LF++nE8//fS6rNPV1ZXm5mZJDaWndSqVSkwmE2azucfN3cXFhfb2dsnCp7KyUjLMdHd3Jzs7m9dff53m5mbJ9FWj0UjHr1mzpt8dan3FuXPnJJujcePGsXv3bgRBoKWlhRkzZvDtt98CjsakjsLW4t/9r3/9q1fv03Fu0t3dnfb2dh599NErEvo777yDxWLB3d2d6upqli9fzokTJ6SBeZVKxZYtW9i5cy4wnoEMlH/zzRxiY/MpKQnCbP7xZ/VsNhnnznlz7tw55HI5er2eqKgoSdfW3d0dvV5Pc3Mz+fn5lJSUkJ+fT3t7u5SOb2mJZd26mVgscszm7p8li8WxHV24EMZf/hJGYyO88IKNmpoaqqurqampwdvbm7KyMv71r39JNkFtbW0EBQUxZ84coqOjuXz5MhcvXiQ1NRWr1cqwYcOYO3cuoaGhV5xxMxqNZGRkkJycLI05jBs3jokTJ/bYuNUVJpNJmq27dOkSLi4uxMTEsGDBgsGdrbuJQcHPOuITXQKmT5/e4+N2u53169dLw61GoxGdTsf8+fMJDg5m8+bN+Pj4YLfbO/nfDQZUKtVVh37FmbyeGlJEHUKLxYK3tzeVlZUsW7aMuLg4wDHH9tVXX/X4+i4uLthsNmbMmEFCQgIymUySc+ttY8pA8emnn1JTU4PRaOShhx5i69atkqK9m5tbr2cbxfPQ3t5OdHQ0hYWFUhfgHXfcQWpqKoWFhZJmo+gtaDabKSwspKysjOrqaurq6qivr+91A9Jf/vJHrNaBztgJrF37GjU1I9i0aSZG448/s+fpaefyZbOUFqyqqiIrK4vi4mJqa2ul2rGzszM+Pj6EhIRIXcDHjrXx//7f7D6RuFptYcyYDO6++1SnQW+xcauwsFByVxk+fDh1dXXk5OSg0+kYNmwYw4YN69QY1RViLTAlJYWcnBypljhlyhTi4uKuWm8THeXFqK68vJwhQ4ZIkd11m627iUHBz5L4zGYzKpWKDz74gNmzZ0tWO13x2WefkZ+fj5OTE83NzTzyyCMIgsCWLVtoaWlh4sSJnDhx4gdbtxih9NSYIn5JO3ZeDhkyhPb2dt5++21pwxejIzHdGRcXx6JFi3jrrbeIjIxk2LBhHD16VHKfDgwMlGTT7rjjjkHTmATH5tHW1tZpaLu8vLzf4tsymYxnnnmmU/1FHKdQKpUUFhZiNBrRarWEhoZKIweDjf/6r//DwOXDBF5+uYzWViuvvjqEtrYfP2Lw9DTzxhubqK6uprW1FUEQ0Ol0eHl5MWTIEAIDA7FYLJSWllJaWkpDQwMBAQF4eoZx333TaGrqe8bAyUngvfdkrFplIzs7W7IJGzt2LC4uLuTm5pKTk4MgCLi7uzNz5kxiY2Ov+pomk4kzZ86QkpJCa2srdrud4cOHk5iYKHV89gTROkkkO4vFIulghoeH/7CzdTcxIPzsUp2CIPDXv/4VlUpFe3s71dXVeHh4SA7OIo4cOUJubq5kCfSLX/yCgIAATp48idVqxdPT8wchvY5dhGJaTmwsERVeoqKiiIiIIDw8nMrKSlJTUzl79qzUhCIiLCyMxMREhg4diiAIvPjii1RWVqLVaomJiSE3N1dyf9+/fz+/+MUvKC0tpaCggOTkZF599VV8fHwk4e3Q0NBrFvntdjsGg0EitsrKSsrKyiRftmuho+VRZGQkxcXF2Gw2/uM//kNKzYoYPXo0mZmZVFRUUFNTIyl2dIXJZOo36alUKgICAiT7IvGciq4CZrOO//qvfr10N5w4UYiXlwG7PRAYvAuO/kKtbsBoNBIbG0tUVBRKpZLLly9TVlZGRkYG586dIyQkhODgYBISEtDr9dTV1bF+PbS39+/6uq1NxrPPtlNV9T+4uekJCgqioaGBw4cPExwcLKUxdTodGRkZfP3115w5c4ZbbrmFgIAA6XUEQaC8vJyUlBSys7NRKpWoVCqmT59OQkLCFetuLS0t0mxdQUEB3t7exMTEsHLlym4jPTfx08HPjvhkMhl6vV5qENm7dy85OTnce++91NXV4eXlxaVLlzh48KBEeqtWrSI4OJht27ZRW1tLa2vrdRGM7gkd05iifmdkZCSRkZEEBweTl5fHhQsXyMrKklKXCoUCvV5PXFwckyZNwsPDgzfffBOFQiGNZ8hkMkaOHElGRgbt7e1MnTqV9PR0DAYDoaGh1NbWYrPZJCV9q9WKSqUiJiaG4uJi0tLS2L59O25ublIDgjhTVVZWxuXLl6Wr6atBbCJxc3MjLCwMpVLJyZMnEQSBtWvX4uTkxCuvvEJra6skG6VQKHjxxRe7yb5lZGT06xyrVCpcXFzw8PDAy8tLEqa22Wzs3LmTkJAQSZ80JiZGeh+lUkllZSVbtmyR0s4Ojv4//VpHV8TFhTB1qoWNG3/8NKeTk8DDDzuUS0Si8/X1lcgnISGB1tZWqquryc3N5dixY1itVnx8fPnkk1WYTP3faurqFFRVRWA2Z0sWYcuWLetGVuPHjychIYHTp0+zceNGgoODmTRpEjU1NSQnJ0sGxEOGDGHSpElERER0Iy5BEKisrJSiutraWiIjI4mJiWHhwoWSy8pN/LTxs0x17ty5k/T0dMAxqLpmzRry8vLYtWsXarUai8UiFc2XLVtGSEgImzZtQq1WU1pa+oOtU1R0CQoKIiYmBr1eT35+PkVFRbS0tEikolar8fPzIz4+noSEhB6bUC5evMjmzZs7pQJbWlp49dVXmThxIvPmzeNvf/sbcXFxLFiwgM8++4yRI0dKHoTl5eV8+umnzJs3j9raWgoKCqirq+tVl6RSqcTZ2Rl/f38pWhDXYDAYJMWYy5cvU1FRMagq+zqdDpPJJL3mhAkTOHXqlFSL0uv1UipbbPYRa7rXgqNhQU5BwRBqaz2wWJR4ebWzceNiBsMp4dgxhyXl5MkOc9kfEyqVhXfe2U5goKtUP66rq5PSnt7e3lIdTry5urpy/LiM+fOhi51dnyCTCdx6aws7d2p7PSReVlbG119/zeXLl1EoFCgUCsaPH8+4ceO61d/Emq5IduIFnjhb90M1dd3ED4efXcQHDm3H9PR0FAoF9957L3q9nuxshyu5mBpra2uTrvA++OCDHyzCA4c02NChQ5HL5VKDhUi4MpkMFxcXYmNjSUxM7PUA7bBhw3B2dmb37t2ScLOLiwtubm5kZGQwd+5cIiIiyMrKws/PD4PBwI4dO9i+fXsnyxhxpKAjRIdqDw8PAgMDcXJyoqqqShLrVavVkhN7Tk7OgM+POL/XEVOnTnW4VLe20tbWJjl+d5VdO3XqFIDUJSp6xHW88u+JeD08PGhubsZqteLh4UF8/AzWrQtlxw49nTlycFJfOp2D9AB+/3uBVasE2tsHUue70gD6taFU2hg3LpeKilxMJg+J2BISEvD19cXd3f2KXYsXLgzcI1AQZBQWunItzrNYLJw/f55Tp05JGZ2AgAC8vLwoKCigsbFRyoo0NjaSl5dHbm4uJSUlBAUFER0dzeTJk/H6iTkN3ETf8bMkvpCQEAAWL14sFbPFjbIjsrKyKC8vH3Tzyq7QaDRERkZitVqpqanBYDCQnJwMOKIlT09PJk6cSGJiYr+VUABuueUWdu/eTU5OjiSVJHro/d//+3+l43bt2tXpeaLgr1arxWg0smzZMuRyOaWlpZSUlEgdmG1tbVy+3F2RvzeWNOJ7iOc6ODhYskFqaGiQyE4mk/XoGSg6svcGom5kQkIC7u6elJd7YDQ6o1Zr8fdXk5u7jZqa8u9a8B2hit1ux2q14u/vT2npo8yYcX1rOw8/7Pi3sbGRhoad2O13Af0nPqXSzq23Wjh4UPOdd1/vIJfb8fOz8fHHvkREPNfn6Ke5GXoRPF8TV4sYq6urSUtL48yZM9JF1ogRI5gwYYLUiWwymdi/fz/vvfceCoVCciMfPXo0K1asGND36iZ+erjxia+21uEp9eGHUFcHNhturq48M2UKzt9pMdrt9h5TdtdrEF1swQYoKbFz4MBIMjNHYTTqEAQZWq2NxEQz//mfziQlyelL/dxisdDQ0EBtbS05OTkUFRXR2traKWr7/POelfPFjd7LywtfX1+ys7Ol5hqz2SyR0ubNm/v096rVanQ6HWq1WiIuceZQRFf3h7Kysk4XIyLZ9RSNDR8+HHd3d8nz7PDhw0RHR3Pu3DnpNcW/TS6X4+rqytixt3LyZCyvv+7YVMX93Gy2IAirmDEjm9jYI7i7C5I1kpeXFykpj/DRR9eX9GQyeOEFgbS00xw8eJDAwCkMNPsrCHJqa0tITKzg2LHJWCzXThmq1RAQIOfYMTXBwT79el9n5+/P7UDQtYfKarVy4cIFUlNTqampkdLpEyZMYPTo0dJF2vnz56XZOr1ez4QJEzCZTFKGJyAg4Cbp/Qxx49b4KivhyScd6r4yWXcXYYXC8c0eNozyZ5/lHxcvXtflaLVaacjcarXS1OTKzp1LKCoagkwmw2LpvDvIZI4vu68vrF8PCxZ8/5joAF1QUMDFixelWtu1/itVKpVkeyMq4g/kv18ul6NSqaQoQIyK7HZ7r50mxFEJ0W9OXI+ovJGWlibNNLq7u7NmzRpeeukl6fn+/v6dPBBTU1O5cOECra2t1NTUALBgwQL27NmDTCYjICCAU6fGs2HD6B4/FiKUSgsymZzx45OZM2c/er0rVutvePbZ61/v+dvf2vDz24rJZCIpKYkXXrjEF1/M7aRy0h94ejbz0UcHycqKY926IRgMCtraZN1I1cnJkZ5cvtzx2evF/PYV8c03sHQp9KC70CfMnw979jh86dLS0sjMzJT8IcPDw5kwYQJhYWHU1dVJKcyKigrCwsKk2bqOndsmk4nk5GROnTrF0KFDmTZtWq8G1W/ixsCNSXw5OTBtmkPdtzd5Fp2OnbfdRkZs7KA1VogK8h03c5VKhZ+fH87OE3j88RE0NcnoEIhdESqVhVtv/Zbx45MHZW29hTgv2NPc4JWgUChQKpVotVpJa9PDwwO9Xo+zszNOTk7STfRaE/HKK69gsVgIDAwkNDSUs2fPdjK8nTp1KhcvXpQIDeCpp56S/PJMJhPr169n9OjRpKWl0d7ejl6vRxAEmpub0ev17NkzmRMnJvRa8FmlMhMXd4nk5BhcXZVcXyNxgWXLzpKQsEP67NjtdtLSxrJ379xeRWlXg6enI+kBIAhw+DD87W9w6hS0tjpMtX184Fe/ggcfdBw/ENjtdvbvL2bu3DAGUvt0cRF49dVi1OpD0viNxWJh7NixjBo1SnLWyMvLw2azdZqtu1YzjNFo5OTJk6SlpTF8+HCmTZvWbbTpJm483HipzvJySEpyfMN7S2JGI4t37MCgUHBpAELLXQlCq9USEhLChAkTqK6u5tChQ3h4jOSRR0bwnaxgr2CxqNi3bwYaTQvx8eev/YRBhlarRafTodfr8fT0pLm5GZPJxIwZMzqR2ECU5Tua706bNo3w8HAyMjJwdnaWfi/O54noer6PHj1KeHg4p0+fllLXM2fOlBpyTpwYyvHj4/tU47JY1OTkDGPu3BYsFlf6v4Ff3d1AozGxaNEuRo68gFyulKJzf39/oqJC+PZbxYBJtyMHyGRwyy2O22DDYDCQnp7O6dMZvPzyQ8hkvf8q9gSZrJXW1v+lsbEdX19f4uPjkclkXLp0iX/84x/4+PgQExPDnXfeia+vb59m63Q6HTNnziQxMZGTJ0/y7rvvEhcXx9SpU3s0IL6JGwM3HvHdfz80Nvb9m2Y0cue2bfz16aex9EOBQalU4uHhISlA6HQ6LBYLZWVlpKSkcPnyZdrb21m71ouGBjvQt5SZxaJmx47biI6+hE7XvbnjWhA7F0UfM7GWFxMTg4+PD0VFRZw9e5ZHHnmEEydOUFZWxm9/+1s++ugjSaBXhMlk4s0338TT03PQro4vXLggrTEsLAyj0UhzczMJCQlkZGQQGBjYbSNSqVT8z//8j6QFWV9fj5ubm1QP9PLy6tCFqmbXrpmYTH1vEDEa5Rw+PFCRaBkgIJdbJfd0mcxOYGAdd955Ek/PC0yYMIEZM56nsbGRTz75hLlz5zJ+/Hj27YMPPhjg29Ozz99gwW63c+nSJU6fPk1JSQkjRowgOPg+TCb9gEhPpbIwffoJAgP9cXFxoby8nAMHDkgqQ4sWLRqU2TonJydmzZpFYmIiJ06c4O233yY+Pp6kpKRuvo438dPHjZXqLCmBmBjopQJ/Nzg7s3PGDNLHjbvmoTqdjoCAAOLi4mhqaiIvL09SI7nSKW1q0rNu3RP91nFUqczMmHGQyZOTJeUW0T3excUFd3d3qdVcnE9zcnJCpVJ1uwretWsX58+f57nnngMcTTEvvvgiI0aMYOrUqbz99tusXbuWtLQ0WltbmTVrFhaLBavVisVi4fDhw1JnpMVi6fRYf/41GAydGnC6plnd3d07pT3BQWyhoaFYrVYKCgqw2WydOj5FnU6A4uJENm+eQ2vrjyn9JXDXXWk89lg7cXFxKBQKdu7cSUtLC0uXLsXPz4/q6mo2bNjAzJkzGT16NAAWiyMF2UuJ0h7h7AyvvgodyqGDAoPBQEZGBunp6bi6ujJmzBhGjBiBWq1m9mw4cGAgry4QGNjAU099hFarISYmhpiYGEJCQq77bF1LSwvHjx8nMzOT0aNHM2XKlJvGsDcQbizie/ZZeOMNGMD4gTEwkL8+8gg9tVJ2VPPvD775ZhbJyYnYbP0PtAMCBEpKBGy27gTSG5IR75vNZs6ePftdzdEZq9VKeXk5VqtVIhnRx09shlGpVJLUk0wmo66ujtDQUMkdouPj1/q36+8+/PBD2tvbGTNmDPPmzeONN97AZrNhNBqx2+3ce++9ndwvoqOjpVmy0tJSvvnmm06WTaLaioj3319DWZlvt/P5Q2PtWvjv/xbIzMxk//79TJgwgaSkJBQKBRUVFfzrX/9i3rx5knCAiN//3sIbb8i7NUH1Fk5OUFUFg7F3i9Fdeno6xcXFjBgxgrFjx3YSMa+qgiFD+n8NKsLHx0x2dvOPNlvX3NzMsWPHOHv2LGPGjGHy5Mk31VtuANxYxOfrCx1qQP2CszNv3Xcftb4D3yTlcrnkV6bVannuuV/Q1NR7A8ueoFa3c//9/yQkpEbqqFQqldJsklKplLokxXk1sXNSvC9GfxUVFRiNRqKiogAkubHAwEAMBgMmk4mwsDAKCgokCyCxY9Nut1NfXy/N94kEKQhCt/vXugGdor3Bh4I///lPCMKPr6v4u9+1M2bMVpqbm1myZIlEFqWlpWzatIlFixYxbNgw6XibzUZaWho7dqTzyiuP9mjncy1oNHDfffDuuwNbe8fozsXFhbFjx0rRXVekpMDcuQOLUsHRfG2x9Hgd+oPCYDBw9OhRzp8/z9ixY5k8eXKfzGhv4t8LN1aN7yoGrb2GUolrS0u/ia+rAkh7ezvt7e0YDAZaWgau3i6TCbS2umCzVUpk0fE9xftdSa7jzx1/b7PZKCkpkcxEweF+7u7uLjlVazQaWlpa0Ov1nYhVtAoKDQ2VZKFEPdGu9692Ky8v5/jx4ygUCu6//37OnTvHqVOnpMiza6S9aNEizp07x/Tp0zEYDJw6daqTfJqXlxd1dXW4urrS2trKo48+x0svyQYcfQwcAoWFh1i0KJCpU6dK6bqioiK2bNnCsmXLpIsQQRC4dOkS+/btQ6/Xc999sygsPMSXX96CydR78lMqITQUXnmlfyu22+3k5+dz+vRpiouLiYuLY9WqVZ0EoHvCQCTKOkIQHFHjjz1qp9frWbhwIUlJSRw5coT169czbtw4Jk2adNNY9ieIG4f4BIFezQb0AroryC+JA9hXu8GVSUZsahgINBotK1fezZIlA34pwGHaWlNTw29+8xsAduzYQUZGBmvWrOGVV14hJiYGT09PcnNzueOOO7o9/4MPPmDEiBEMHz6832s4f/48SqUSPz8/goOD2bJli+Qi7+npKTlrgyOKHjt2LCdOnECr1bJ9+3YCAgIoLy8HHELFqampKBQKLBYLkZGRaLXKActmOSAwUEmyV18dRVjY9ynBS5cu8eWXX3L77bcTHh4OOJRI9u3bR2NjI7feeityuZzt27fz9NO3MHasgv/4jyvPH3aERgMhIY6xhb72ZzQ3N5Oeni511o4dO5bly5f32npnsPpBZDLH3/HvAjc3NxYvXkxSUhJHjx5l3bp1TJgwYcCqSjfxw+LGIT6ZzCFwONBJWWDlI49QEx3Np59+2sn25g9/+MOAXvdPfwKDYWBrk8kGNlDcFYsXL+b111+noKCAiIgIZs+eTUZGBocPHyYiIoLz58/zwAMPsHfvXux2ezdNRrENfCDEV1ZWJnmi2Ww2DAYDERERFBQUMG/ePDZu3CgdO2XKFGkuLysrCx8fH8m/z8XFhdTUVMBxkeLv709MTAyurgNrpx8cCAwdWkFy8hHOnnWMf7S2tpKdnc20adNQKpWUlpaSnp5Obm4uU6dOZdy4caSnp3PkyBFuv/12wsLCGDcOhg2D3/0OysocBNiV1J2dHb+75x5HQ0tvSain6O7OO++8ZnTX7S8VBOTyYtraQuhr93JXBAf/+GnOnuDh4cFtt90mRYDr1q1j4sSJTJw4cVA9K2/i+uDGIT6AhAQ4fnxgr9HeDiNG4KPX8/TTT9PQ0MC//vUvRo4cOeDlTZkCX3018OWNGjXgpUjQ6/WEhoayZ88ennjiCZycnHBzcyM1NZX77ruP9957D41Gg16v5/Lly5LOqYjhw4ezf/9+ysrKCA4O7vP72+126eJizJgxpKSkAA43CJlMRnV1dafjZ86cKWl2nj59Gr1eL6nEiHOELi4ujBo1ioyMDG677Tbkcpg/386uXQOLumUy4TsC7d9O/PrrAmFho2hra6OoqIicnBzCw8MpLi4mNTUVg8GAXC7HZrNx+PBhDh06hM1mIyQkhDNnzpCXl/ddN7ET27c7kZfnzocfupOWpqalRYZaLcPPD9ascZBebwmvublZqt05OzszZsyYPkV3IlpbWzl27BiZmZmYzWaiolZz8WJEv2urzs7w9NP9euoPBk9PT5YuXUpdXR2HDx/m73//O5MmTWLChAk3jWn/jXFjEd+zz8LddzuUcfsDhQLuvBM6zIt5eHjwxBNPDMry1q6Fo0f7X/8QlzfYwhKLFy/mrbfeory8nMDAQGbOnMmXX36JSqVCrVZz4sQJIiMjuXTpUjfik8vlTJw4keTkZG6//fY+v7cYrel0OnQ6HSkpKTg5OdHW1kZkZCT79++XjhU7HZubm5HJZISEhHDp0iXAYVKbn5+PUqnExcWFYcOGcfHiRcmCZtiwnXz99Xwslv5tRhpNO489Zuf11/tXz1m2TMb8+UFAEJmZmRQVFfHggw/S2NjIN998g6+vL3fffTc+Pj60tLSwefNm5HI5SUlJWK1W2traaGtrw2g0UldXJ4mCz5rVxqRJbZhMJjQaDU5OTqjVTuza5YgqOwoMdFTN0Wg0VFZWkpGRQVFR0YCiu3PnznH8+HFJM3Po0KFMmjSJadMCWLRI1u/Pu83maMr5KcDLy4vly5dTU1PDkSNHJAIcP358JwIUR3SuCLvdofO2dStUVDhSFf7+sGKFo1voCmWYm+gbbiziW7DAURDoL/FpNPDUU4O7pg645RZwd+8/8V2v5Xl7e+Pv78+uXbt49NFHGTlyJNu3b2f37t2Eh4dz7tw5Fi5cyLfffsuMGTO6PT8hIYEjR47Q2NjYzevsWjh37hwKhYLAwEApzenj40NbWxtJSUnk5+dLxy5duhSAwsJCLBYLRUVF36XV5NJxSqWS22+/nQsXLkiNItu2bcPZ+TwuLlNpaOifDpdareall2SMGgX33983i58pU2DbNsf9tLQ0jh49ysKFC9m3bx8tLS3Mnz9fWmt1dTWff/45w4cPZ9asWVe0++kKu92OyWSSyFEkSvFWX19PW1sbLS0tNDQ4nNQFQZAuFCorKzl48GAnkuxKlh1l5ioqKjh48CAFBQXY7XZCQkJYvXo1kZGR0sYeEOAYacjJ6btDg5OTg/R+auphPj4+rFixgurqag4fPsy6deuYPHky48aNZcjBHAAAIABJREFUQxAE3nrrLRYtWtRJEAJwaMb9z//Aa685Noium8SmTY4Q+Kmn4LHHBq+I+jPFjUV8CgX89a/wxBN9r/VptQ5mGsw8YhfIZPD3vzuC0t40J3SERmNn1iyBUaOuz+DuokWLeP/99yUX+vDwcAoLC3nggQf48MMP8ff3l+yHunaxaTQaRo8eTUpKCnPnzu3T+5aWlmK324mPj5e88urq6lCr1WzYsEE6TjQEFQSBlJQUqUYGSPd1Oh2zZ8/Gy8uL/Px8pkyZwrFjxzh37hxyuZzf/OYkL7wwp89Rn04HGzfK0Ghg6tQC7r33KFu23HPN7kqZzKF5+f77jp+Tk5M5efIkISEh7Nq1i+nTpzN27FiJ3HJzc/nf//1f5syZIw2v9xZyuVwip/p6x8dfpYLwcPD3FygocNTu6urqiI2NZezYsQQEBEhk2RNhNjY2dnqspaWlk7+hQqHA3d2dgIAAnJ2dKS8vp7GxsRNhbtvmTFKSM3V1sl43GGm1EB/vGMn9qcLX15eVK1dSWVnJ4cOHOXnyJP7+/rS0tLB161Yef/zx7xVhKipgxgyHAMeVNgaRDP/rvxwfqEOHoJdenDfRHTde3PzAA/D4446ro95Cq3UovmzZcv3W9R2WLYM//7m7zcrVoNNBaKiBefM+vm6GuEFBQXh5ebFjxw7AQYSCIEgkdPr0aUJDQykoKOjx+RMnTiQzM7NHr7wrwW63YzAYEASBuLg4kpOT0Wq12O12xo0b12m2b9WqVYDDSd5oNErnwcPDg9bWVpRKJaGhoSQkJNDe3k5FRQVms5kDBw5InoYazTnuvHMzGk3vRS91OnjrLVi0yCHV9tlnn7FokQ6jUcGOHRATY8PR7SneHEPif/iDg3xE0jt8+DBHjhzBbDbj6urK448/zvjx45HL5QiCwIkTJ9i5cyerVq3qM+mBY9Zt61aYMMERaY0fD5MnC4SH2/D0bOWPf6zGz28ov/3tbyUfSplMhk6nw8vLi5CQEMmfbvLkycyePZvFixezYMECoqOjsVgsmEwmVCoVI0eO5MEHH+T+++9n7ty5REVF4ebmhsVioaKigqysLA4fPsy2bdvYufNd7rlnHXp9EyrVtc+7k5OdSZMs7N1r5UYokfn7+3PnnXeyYsUKLl26JFl8ffbZZ47adEMDJCZCfn7vroZNJigqgokTHZZrN9Ev3FgRn4j//m/w9ob//E9HzvxKSi6i98+kSbB9e9/YaABYuxa8vBz8fDVrHIXCkd6cPRs+/9yNEyeG8NFHH3HPPff0OaXYG8yfP58NGzZgMBjw8PBAp9Px7bffMmTIEM6cOcO4ceO4dOkScXFx3Z7r5uZGVFQU6enpTJ48uVfvJ5KoqMFpMBgkVYyOKU5wRJVWq5V9+/Z1sjwSlVo0Gg233XYbMpmMwsJCfH192bp1K2q1GpVKhclkor29nUmTDDz1lIpf/AIKCwWMRjuC0DVys+PkBD4+ct57D2691fHbf/7zn2i1Wm6//XYEQSA8PItHHvn6O7K4BatVSVddY7vdzhdffCE1ssyfP7+TConVamXXrl1UVVXx8MMP90v7dN8+uOsuB/mJWX7HR14GKDCbXdi9ezI7d8If/wjPP3/1TsnW1lYuXLhARkYG1dXVCIJAYGAgCxYsICoqqk8i0OCoa/3hD2befdfCunVyWltltLbKEFPFcrkdpdKOn5+B2bPTiY09x9//3topir1avbLjz9dyY/ixUFxcLN0XBIGKigq2bt3KynffdVio9SUXbLU6hDqWL4cjR67Dam983JjEJ5PB738Pd9zhMBR77z3H7+x2R7FYoXC0R86bB8884yjC/MA90w8+CIsXO8SHX3vNcSEnlzuWJ5M5lrdypSOln5AAIGPWrFk4Ozvz0UcfsXr1avz8/AZ1TZGRkbi5ubFr1y5Wr15NYmIiBw8eZPHixWzcuJGwsDBOnjx5xQJ9YmIiW7ZsITExsVe1qbNnzyKTyRgyZIiU5mxtbcXNzY2qqqpOx8pkMk6dOoVWq5U0O0VXdrVazfLlyyUljYsXL1JRUYFKpUIQBFQqFY2Njbi5ufHYY48BcP48rF9/kvffdyU/fwRiIK1QWJk1C/74RxVTp37/sThw4ADV1dU8+eSTGI1Gdu/eTU1NDXfddRdBV0g5lZeX8/nnn2M0GlmxYgWxsbGdHhebWFxcXHjggQf61QW4caPDrf1awYKY+X/5ZSgsdHzuOv4XGo1GsrOzOXfuHGVlZRKBTJ48mfHjxw9IqFkmk+Hjo+H55x3Eu3+/g6wrKx3p2OBgOStXyomP9wRmA7MlY+Ke6pVGo1FKu3d9TCaTXZEUr0SYPWnZDjYCAgKYOHEi8H0ns09jo6MLvT8Si2YzpKVBdjYMYJTo54obk/hEhIU5JCteeMExxVtd7bgs9vBwRHmDTBx9hY8PPPecIwJMS3Msz2x2LG/MGEcjTFckJibi7OzMp59+yh133EFoaOigrmnOnDls3eowQZ0yZQoHDx4kKysLlUrFpUuXkMlk1NbW4uPT3ZE7KCgINzc3srOze4wKu6K4uBhBEBgzZgxffvklarUas9lMWFgYZ86cAcDV1ZWWlhapVV50VBdNfZVKJWPHjiUiIgJwKNGcPXtWMrb19PSktrYWZ2dnaUhfPK6x8VvefHMqISGFbNiwES8vb375y4e72SuVlpZy7NgxFi9eTHl5OV999RWjRo1i+fLlPVoxNTc38+2333L+/HlcXFz47W9/203fsbKyks8//5xRo0Zxyy239GvjPXhQ4KGHhD45TrS1webNjvLQn/5kIicnh6ysLIqLiyULqLCwMMaPH09UVFSvm2t6C7ncEUGLUfSVIJPJ0Gg0aDSaXmc3BEHAYrFcscGnrq6O0tLSbo8BV40ie2ry6QtZGo1GtmzZwoQJE5g+ffr3UemTTw5MdMNicRRCB6pF9zPEjU18IjSaa3/TfkQoFI6UfW8xcuRInJyc2LRpE7fddhtDhw4dtLXExcWxZ88edu/ezYoVK/Dz8yMrK0siI3GsoSfiA5g0aRLHjh0jNjb2qhuDWN8TxxIMBoO0mYikB7By5Ur++c9/cujQIdzc3KisrASQJMzc3d2ZOXOmdPyHH34oaYX6+flRWVmJRqPh6aef7rSeb775RtI23bBhA7GxsT2OY5jNZjZs2EB4eDj5+flUVVWxatWqHmcWLRaL1MDi4uJCQEAAd999d7eB5uzsbHbt2sX8+fO7iVH3Bi0tLaSnZ7By5UhMpr6nvFtb4b//24bV+h5hYRosFgtqtZqRI0cyZsyYn6wRq0wmQ61Wo1ar+1QKEMmyJ8LsODrS8TG73d7riFLsoD116hSZmZkOPdaoKPjoIwZksmi1woYNjo65m0PzfcLPg/huQERGRrJ69Wo+//xzWltbGTNmzKC99owZM/jqq69YsmQJCxcu5MMPPyQyMpK9e/cyffp0MjMzmTRpUo/PjYmJYd++fZSWll41GhVrHl5eXpLaisVi6eSqoNVq8ff3RyaTcf78+W6NMyqVijvuuEOKunbv3i1Jl4kyZkqlkrVr13aKXEThZy8vL/bv38/s2bOZMmVKj+sUHSGqqqoYNWoUS5cu7VZHEgSBrKws9u/fT0BAAMHBwdhsNlatWtXpWEEQOHr0KKdPn+buu+8mMDDwiuenKwRBoKCggNOnT1NYWAhMxmjsv1GqTAapqWOJiytk7NixxMTEXHern39XqFQq3Nzc+kT4FoulExF2vN/Q0EB5ebn0c3Nzs3ShZrFY2LRpE9F6PasHS5i9psYhcXMTvcZN4vsJIygoiPvvv58NGzbQ2tpKUlLSoNQqxo0bx/79+9m7dy8LFy5EqVSSkZGBUqmkoaGB0tJSLBZLj40EcrmcxMREkpOTr0p8Z86cQSaTERUVxcmTJ1EoFNhsNsrKyqRjli5diiAI2Gy2bjqICoWCOXPmSJFnWloaaWlpgCMKLC8vRy6X89xzz3Xb0Pfu3YvNZqO6upq7775bmqHrigMHDlBWVoabmxsrVqzoNrwPcPnyZfbu3YvFYmHx4sWkpqYik8m46667OqVBLRYLO3bsoL6+nocffrjXNbOWlhYyMzNJT09HrVYzduxYlixZwl13afo8EtMRZrOC06cn8/XXU+ghW3sT14BordUbl/bs7Gy2bdsmeUtGRkYyNTDQkeoZKBSK/s8t/4xx8yP/E4eXlxcPPvggGzZsoKWlhXnz5g0K+U2ePJkjR45I6bjMzExpmN3Pz4+SkhIiIyN7fO7o0aM5dOgQ9fX1eHr2PDAuDp+PGzeO5ORkyR1evDJWKBQMHTqUCxcuAHQb4xgyZAjjvjMMLioqYvfu3dLG0tjYiEwm49lnn+1GevX19aSmpqJUKnnsscfwuILw6YkTJzh27BihoaHcc8893UjeYDBw4MABCgoKmDlzJrGxsWzZsgWNRsPy5cs7va/BYGDTpk14eXlx//33X7PzUIzu0tPTKSgoYPjw4axYsUIaQQDYu3fg+qM2m4xz58TmqZu4XlCr1Xh4eDBhwgTi4+MdTUzV1YMjqm+z0a2V+CauiZvEdwPA1dWVBx54gM8++4xt27axdOnSAaetRPX5Q4cOMW/ePDIzM3F1daWoqIipU6dy6dKlKxKfWq2WdDfnz5/f7XFBEGhqakKhUEiSY2L3pUh8c+bMwW63c6CDhXdHV/bly5cjk8lobGzkk08+kWbSxGaFtWvXduuSLCwslFKXv/vd73pU029ra2P37t1kZ2fj7+/PAw880Olxi8XC8ePHOXXqFGPHjpXk7D7//HP0ej1LlizplFa9fPkymzZtYvz48deMyHuK7hYvXtxtnXZ73wUQeoJcDnV1A3+dm7g6IiMjpW5iCZ6ejpbWPsy99giZzNEldxN9wo03wP4zhVar5Z577sFqtbJx40bJm66/kMvljB8/nuTkZCmlk5eXJ9n9dJ2z64oJEyZw9uzZTkofIkpKSgDHcO/JkyclMhCPlclkTJw4kdOnT0tdnPC9zmFkZCTOzs6YzWbeeecd6e8XSe93v/tdN3WZ5ORkPvnkE8BRw+yJ9C5evMjbb79NWVkZarWahx56qNN7nz17lvXr11NbW8ujjz7KrFmzEASBDRs2SGLFHUnv3LlzbNy4kQULFjB16tQeSU+M7rZs2cL69eupq6tjxYoV/PKXv2T8+PE9rtNh3js4dhP/js4HPwsolfDQQw7y6y9UKoeu240w6f8D42bEdwNBpVKxcuVKdu/ezSeffMLq1au7tdH3BTNnziQlJYXk5GRmzZrFl19+SXBwMPn5+bS0tGAwGK5Y49Dr9cTExPz/9u48Juo7/+P4cw5OB6GIyKGCguIo1irijRxabRUVpVbF2sNq6tX9/bJtt43ZTfb3S35Js2m7rZreoVXrfbalrsdWUGsVvFChAsIKIoroyDXDNcD398d0vhUBBbS1lfcjIZGBmQw25eXneL/fnD59utnFEfutTftkB0AtZQBbyUZNTQ3JycnNgtM+s6+xsZFPP/2Uuro6dDqd+n3PPPMMBoOhyXN27drFuXPn6NmzJyUlJYwbN67J16urq/nXv/5FUVERAwcO5MSJEyxevFg9oyssLGTfvn0oikJ8fLx6dllVVcVXX31Fr169mmwxK4pCcnIy586dY8GCBeqU9dtZLBZ1IsLdVnd2iqJw9epVMjMzfy4vWUFd3f0Vazc02Po8iIfk1Vfh4487frNTr4fbSnRE28mK7xGj1WqJjY0lKCiIxMREtdi7I/R6PUOGDOGHH35g8ODBaDQa6uvruXHjBoGBgfdc9Y0aNYq0tLQmrceAn28l2lcuNrev7CZNmsSRI0eaPc/d3R1vb2/c3NzYsmULJpMJRVHU7VG9Xt9kLmB9fT2ffPIJGRkZzJ07l2vXrjFu3Lgmq7Ls7Gw++ugjXF1diY+P58SJE0RFReHr60t5eTk7duxg27ZthIeHs2jRIjX0zGYza9eupW/fvk1Cr66ujq1bt5Kfn8/ixYubhN7tq7vVq1djMpmYNWtWq6s7RVEoLi7m+++/Z/Xq1ezcuZOGhgZCQ0N54olCtNr7W/W5uEAHqinEg9K3r61HZ0dKERwdbY03+vd/8O+rE5AV3yNIo9EQExNDly5dSExMZP78+R3u8mI/30tPTycwMJCCggK0Wi0ODg7k5eUx9C43I3x9ffH09CQzM5PHH39cfbysrAxHR0f1FubtjEYjpaWlnDhxAutt/xLWarXMmzePAwcOkJeXR05OTpPnRUREcOvWLTXUysvL+fTTT2lsbGTFihXqzVH76rO6upq9e/dSWFio3th899138fPzY9SoURw8eJCTJ08yYsQIpk2b1uS8sKKignXr1jF48GDGjx+vhl5ZWRmbN2/G19eX+Ph4dcVosVjUszt7wf3dVnc3btwgIyODzMxM6uvrCQoKol+/fhQWFnL+/HlCQkJYssTCsmWN92yU3RoXF/jv/34wFwvFfdi82dat4vLltq/8HBxsDVl/g97CjyoJvkfYyJEj6dKlC+vWrePZZ58lICCg3a/h6OjIgAEDOHjwIC+//DIffPAB3bp149q1a5jN5hanst9u9OjRpKSkqCtGe7lCr169WlwxxsfHs3379iahBzBx4kR69OjBjRs3qLhjjH1CQoJaXA+2W572c7dFixah0+k4ffo0UVFRaLVacnJySEpKwmg0smTJEhwdHdm4cSP19fU88cQTrFmzhsDAQF555ZVmtV2lpaWsW7eO8PDwJj1JL1++zLZt2xgzZgyjRo0CbCvbU6dOkZubi9FoZObMmfj7+7d41nfr1i017Kqrq+nTpw8BAQFcuXKF7OxsBgwYwMSJE3F2dubIkSOUlh7A17cfly51LLkaG2Hx4g49VTxIXbvC8eMwYQLk5t57qoyrq23kxsGDLbd2Em0iwfeICw0NxdXVla1btzJt2jQGDBjQ7teIjY3lnXfeobi4GGdnZ6qrq6murqZbt25cvXr1rpPX+/Xrx/79+ykoKCAwMJD09HSAZudwYAvDK1euqDc97ey1gUVFRc1CLz4+nqCgIHbu3MmkSZNITU1l3759GI1GZs+eDcCePXvQ6XQMGzaM3bt3U1BQwKxZswgMDATg9OnTXLx4kW7dunH27FmeffbZFn8mk8nEunXrGDduHOHh4erj6enpHDhwgLi4OPz8/Pjxxx+brO5iY2NbXN2VlZWpZ3YVFRUEBATQo0cPioqKyM/Px2g0MmXKFHr16oXJZCIlJYWCggLGjh3LrFmzGDvWgZiY9k/gcnW1TQiRy4C/E15ekJpq6+Tyj3/YCtKrqn6pV9FobNNmunWz9TdcuNC2ZBcdplGU+60GEn8EV69eZdOmTURHR3eoy8v69eu5deuWWqOn1WoJDAykd+/eREZG3vW5J0+eJDc3l7lz5/L+++9TXl6Ou7s75eXlTb7vrbfeIjExkZKSEvUxrVaLm5sbixYt4r333mtyLjhlyhTCw8O5cuUK3377Lb6+vpw9e5YJEyaoF1jq6+t5++23CQ0N5dKlS4SEhDBx4kR16zI/P5+1a9fi6OjItGnTGDRoUIsrspKSEr766iuio6PV7d3Gxkb+/e9/k5WVRUREBHl5eerqbtiwYfTs2bPZa1VWVqphZzKZ6NWrF3q9nqKiIrRaLUajkYEDB6o1eyaTiUOHDpGXl6c2jL592zUpCebMaXv4ubrCkiXw7rtt+37xG1MUW+PqXbt+mcDu6wtxcTTpmi7ui6z4Ogk/Pz9efPFFNmzYgNlsbvV6fWumT5/O+++/r3YvcXFxoaysDKvVes/gGzJkCMnJyZhMJsrLy3FxcWkWep6enmRlZXHjxo0mj0+ePJnjx4/z4YcfNgm9yMhIddWVk5ODxWLh/PnzJCQkNJluvWfPHhRFIT8/n7i4OPr06QNAbW2tOiDU3sC6tcLya9eusWHDBiZPnszgwYMB22y+rVu3UlZWhqIoHD9+vNXVnX3MT2ZmJtevX8ff3x9XV1fKysooLS3FaDQSERFBjx491P8mpaWlHDp0iIsXLzJy5EimTp3arOcn2OYEHjhgC7+ysuaDu+3sC+y337aNwxK/UxoNjBtn+xC/Ggm+TqRbt2689NJLavg9/fTTbQ4/d3d3evbsyd69e/H29sZkMql9CGtqalq9qAG2MouwsDC1GN3Dw6NZmcK8efPUBtN2gwYNok+fPuzbt6/JDL7w8HCioqIA20WTo0ePotfrWb58eZNOMVlZWZw5cwY/Pz+ef/55nJycaGxsJD09neTkZHQ6HXq9nhUrVrQaeleuXGHz5s1MnToVo9GIoiicP3+ePXv2YLVaCQ0NZfjw4c1Wd/YxP5mZmRQVFeHj44NOp0Oj0WCxWDAajTz55JN43VFPUFZWxuHDh8nKymLEiBG8+uqrd/27BRgzxnY3IjnZtlP2/fe2m+5arW3aR79+tikgs2fLDpkQIFudnVJNTQ2bN2/GYDAQFxfX4midlpSUlPDRRx8RFxfH7t27f56z1p3IyMhms+buZDab1a1K+/gbO1dXV8LCwjhy5Ij6mJOTE6+99hpbtmxpcgnGzc2NP//5z8Avl1gaGhp444031Hl8NTU17N+/n4yMDBRFYeXKleqA2n379uHk5ERQUBDJycksWLBAHWl0p/z8fLZt28bMmTPx8/MjPT2d48ePYzabMRqNxMbGNimUr6n5ZczP5cuX8fb2RqvVcv36dby8vDAajRiNxhbbpFVUVHDkyBEyMzMJCwtjzJgxzYrw26quzjbYu77eNuLqN5qvLMQfhqz4OiF7l5edO3eyceNG5syZ0+I22p28vb3x9vYmLS0NvV6PRqOhpqaGvLy8ewafwWBAp9NRX1/frO/mjBkz2LRpU5PHXnjhBVJTU5uEnqenJ/1/rltKS0tj7969+Pn5qeNfwDa5/ZtvviEoKIiGhgZiYmIoLS3lwIEDFBcX8+STT+Lv78+qVasIDw9vNfRyc3PZtWsX48aN4+zZs2zfvh0vLy+sVivPPfec+ry6ujpycnLIzMzk0qVLeHp6otVqURRFPbObNWtWq4X+ZrOZI0eOcO7cOYYNG8by5cvvq+kA2Eq8HvKoSSF+1yT4Oim9Xs8zzzzDd999x9q1a5k/f36bfuFOnTqVL774ggEDBpCVlUV9fT25ubmtTmW/nb3Q/HY6na7J/D2w9Qm1N4G28/Pzo3fv3ri5ufH111+Tnp5OTEwMt27dwsfHh9raWvbv309eXh7Tp0/nwoUL6PV6LBYLn3/+OWPGjCE+Ph6tVsuqVat47LHHmDJlSovv89y5cyQlJeHi4sKZM2cYOnQoDg4OFBYWsnjxYtzc3NRtzIsXL/LYY4+h0WjUGW1Go5GQkJAWb67aWSwWjh49ypkzZxgyZAjLly+/6/cLIR4cCb5OzN7lJSUlhcTERJ577rlWpxXY9e7dG09PT7UvpqIo1NXVYTKZmp1X3c5+U9PeaNouKiqqScB17dqV0NBQtQcn2MJx8eLFbN26laysLCoqKkhISCA4OJh//vOf9O7dm48++oigoCCWLl2KRqNhw4YN6PV6amtrWbZsmRoqX3/9NWazWd0utVMUhYKCAg4ePEhhYSHBwcFERETg5eXF9u3b0Wq1REZGcujQIbKzs3Fzc1N/Fnd3dzXs7rU9WVVVxbFjxzh16hSDBg1i6dKlbRptI4R4cCT4OjmNRkN0dDQGg4EvvviChISEFntL3u6pp55i48aNGAwGLBaLOmXhbsFn79Jy55HymTNnmnz+3HPP8cknn6ifd+nSBQ8PDyoqKsjOzm5yieXKlSvU1taSnJzM9OnTCQ4OJi8vj+3btwPw0ksv4evrq75WdnY26enpzJ07V90araqq4uzZs5w6dYra2lqsVisvvvgiAQEBlJSU8PHHH+Ps7ExlZaXaGUZRFLy9vTEajfTr169N28Q1NTUcO3aMEydOYDQaWyyOF0L8NiT4BGC7KdmlSxfWr1/P7Nmz1eLulvTr1w83NzcMBgNmsxmLxUJubq7asaQlFy5caPZYaGgoGRkZ6ufTp0/nyy+/VHt0uri4MGfOHL755htWrVoF2MLM09NT7XnZtWtXXn75ZcxmM5s2baKkpITa2lomTJjQJPSqqqrYtm0bTzzxBP3796egoIBTp06Rk5NDSEgI/fv3JzMzk4ULF2KxWNiwYQO5ubm4uLhgtVpRFIWePXtiNBoJDg6+50w9u9raWlJTU0lNTaV///4sXrz4nqtqIcSvS4JPqAYOHIiLiwvbtm0jNja2ScPnO02YMIGvv/5a3e4rKCigvr6+1Rui5hYKzOxDZsHW1zMtLU3dQnVwcOAvf/kLe/fu5ebNm4SEhJCbm4vBYCApKYmLFy/i4eHBqFGjSElJ4fz584wdOxZXV1cuXLjQpJ0YQGJiIl26dMHLy4sPP/wQgLCwMJ5++mnS09P58ccf6du3L2vXrqWhoYG6ujocHBwICQlh4MCB9OnTp823X8F26SUtLY1jx44RFBTEwoUL6datW5ufL4T49ej+/ve///1hvwnx+/HYY4/Rt29fdu7ciZOTE35+fi1+n4+PD6mpqTg6OmK1WtHr9fTq1Qs3NzcA9bLH5cuXqa+v58SJE81ew77tqdFo6N27tzq1QafTsXLlSr799ltOnjyJu7s7CQkJpKWlkZGRgbu7OzNmzFBbeHl5eTF79mwCAgLYsWMHMTExaqG9oihs3bqVwsJC9fJJZGQkEyZMQKvVsnv3btLT09HpdJSWllJbW4teryc2NpZZs2ZhNBrp1q3bXfuR3s5qtZKWlsb27dvR6/XExcUxfPhwdWtVCPHwSR2faNGtW7f46quvGDJkSJMJBLc7fvw4+/fvb3ZuN378eKKjozl69Kg6b+9uwsPD1WDUaDS89dZbrF27luLiYiIjI8nLy8NgMJCVlcXcuXMBSEpKoq6ujpdeeglvb28Avv32WzIzM3nzzTeBKnP0AAAK70lEQVSpqalR6+4qKip4/PHHmTRpEpWVlWRkZKhDchsaGnB2dsZoNFJUVIS7uzvx8fHNprffS319PadOneLo0aP4+/sTFRXV4YkYQohfl2x1ihZ5enqycOFCNmzYgMVi4amnnmq26iktLW0WeoC6pRcSEnLP4PPz82uyGvzTn/7EqlWraGhoYNmyZWRnZ3P16lV69eqlrjLLysrw8fHB399fDT2r1Up6erraiDo7O5u+fftisVgICgrCw8ODzz77TO0YoygKjo6OzJw5E4PBwJYtWwgNDSUmJqZdrdwaGho4c+YMR44cwcfHh3nz5jU5WxRC/P7IIFrRKoPBwIsvvsiNGzfYsWOHWodn702ZlpbW4vPsv/jvdsvT7urVq+qfExISWLNmDc7OzixfvpzU1FR++OEHPD09URSFkpISgoODWbp0KSaTSe3JWV1dzdq1a9VBrz4+PixYsIDLly+r263Hjh1Do9EwYsQIgoOD6d69OytWrKChoYH169cTExPDhAkT2hx69sBbs2YNWVlZPPvssxJ6QvxByIpP3JWTkxPz589Xu7zEx8ezdetW/P396d69e7Om0kCTSxxarbZJn83WxMTEsGnTJkJCQhgxYgSJiYn4+/vTr18/MjIy8PX1Zfjw4YwaNYqysjJqamqoq6tj165dXLhwAavVyuOPP46XlxcnT57kwIEDao3dsGHDGDhwIJ6ennzzzTeYzWYWLFjAyZMnSUtLIyEhAX9//zb9fTQ2NnL+/HkOHTqEh4cHM2fOVKeyCyH+GOSMT7RJY2Mj3333nToVXK/Xq7cub9+q1Gq1/O1vf1M/f+edd5q1KGtNREQEtbW1/PTTTwwdOpTMzEycnJxwdHTEy8uLHj16EBoaSlJSknruN2jQIHJycrh+/bq6FWswGCgvLycmJoaIiAjAtkLbtWsX1dXVxMfHq7dF586d26YCckVRyMzMJCUlhS5duhAdHX3Xkg8hxO+XBJ9oE0VRSEpKIj09ncbGRhwcHIiPjyckJISMjAx2bN9Oz8JCZhcU0PXMGbBYQKej0cODYwMGcHzoUMw/3/hsibOzM66urnh6emK1WqmqqmLSpEnU19dz5swZqqur0Wq1FBcXo9fr6dGjBxUVFZhMJhRFwWAwMHbsWIKDg/nss88ICAggISEBsF082b59O42NjTz99NPs2LEDDw8PZsyYcc96PEVRuHDhAikpKTg6OhIdHU3fvn3bdQ4ohPh9keATbWI2m3n//ffR6XTU1dUB4O/vz6JFi2DPHnj1Vbh+venkaDtnZ1AULvbuzTfTpmFuZYXl7+9PWVkZkZGRhIWFqf03f/rpJ+rr6+nZsycWiwWTyYRWq8Xb2xudTsfNmzd56623APj8888pLS3ltddeQ6vVYrVa2bJlC05OTowePZpt27YxbNiwVm+q2imKQk5ODsnJyWi1WqKjowkODpbAE+IRIMEn2sxqtXL58mWysrLIzMykurqav7q7o1u5Eu6Yr9cinY4Gd3c+njePm927N/uyRqPh9ddf5+bNm5w+fZoLFy7g6uqKxWLBarWi0WjUFeGSJUvQ6/W8/fbbTJo0iZEjR3L48GFSUlJYunQp3bt3p7a2lk2bNuHu7k5wcDB79+5l6tSpd50koSgKubm5pKSk0NDQQFRUFCEhIRJ4QjxCJPhEh9V98QWOK1bYVnltpdHQ6OnJR6+8ws0WauW6du2K1WpFq9WqZ4P27jCDBg3CwcEBg8Ggdo7JysrizTff5Nq1a3z22WdMmjSJUaNGUVNTw4YNG/D29sZgMHD27FnmzJnT6q1LRVG4dOkSycnJ1NbWEhUVhdFolMAT4hEkwSc6xmSCXr3attK7k05H9bhxvDtxotqX8049evTg+vXrrb6El5cXJpOJyZMnExYWxrvvvouPjw8vvPACVVVVrF+/Xt0araysZM6cOa2O/cnPzyclJQWz2UxkZCSDBg1qc6cWIcQfj5QziI5JTOz4cxsacElNJeCpp/hPC8HXp08fnn/+edavX89//vOfFl/i5s2bABw9elRtdD1//nzMZjPr1q0jICCAwsJCNQxb6rNZWFhIcnKyeq44ePBgCTwhOgEJPtF+jY3w3nsdW+3ZKQoRGRlc6t+/WfcX+5ifiRMn8vnnn6t1gHfO8gOorKyksrKSuLg4LBYL69atIzAwkKysLEaPHs3o0aObbVcWFRWRkpLCjRs3GD9+PEOGDEGn03X8ZxFC/KHIVqdov5MnIToaWpi40C5+flBUhKIoHD58mMOHD9PY2MjgwYOZNWsWAGvWrFFvcTY2NrYYfnbOzs4EBQVx6dIlZsyYQf/+/Zt8/dq1a6SkpFBcXExERARDhw6VwBOiE5IVn2i/4mJ4EIFRWgrYVnKRkZH4+vqyefNm26WWmho4fpxndTryzGYeCwpif3k5Q34eQ9SSmpoaCgsLeeGFF9QengDXr1/n0KFDFBYWMm7cOGbPnt2uEUNCiEeL/N8v2q+urnmtXkf83PvTrn///iyKicHtyy9h2TLQavEG7BE2oLER64IF5Hp4cM3VtcWLMVVVVWqP0Js3b5KSkkJ+fj5jxoxh5syZbR4gK4R4dMlWp2i/5GSYORPKy+/vdTw81FUfigJvvgmrV0NDA1itLT/HwQF0OnInTeLU3Llk5eQ0+5aRI0dSXV1Nbm4uo0ePZsSIEe0eMySEeHRJ8In2KysDX1/bdmRHaTQwZQokJdlC7/nnYdcuW6uztnB1pTI6mveGD8fB0VHtz2m/CBMZGcno0aPVizJCCGEnd7dF+3l4wKxZ93fO16ULvPGG7c//+7/tCz2AqirckpP5W309sbGxlJWVqaGn0+no3r27hJ4QokWy4hMdc/o0RES0r2vL7Xr3hvx8qKwEH5+Ol0Y4O5P4f/9HcU0Njo6OaDQaNBoNYWFhREZGduw1hRCPNLncIjpm2DBbScP337d/y9PVFT74wLbduW4d3E/RuFbLQp0OVq7s+GsIIToVWfGJjquuhrFj4cKFtoefqyv8z//A66/bzvYCA+Hy5ft7H/7+UFhoC1IhhLgHOeMTHefiAkePQkyMLdDutnJzcbGNJ1q92hZ6YLskU1x8/+/j5k3bhxBCtIEEn7g/Li7w3Xdw6BDMmWMLt65df/lwc4Pu3eGvf7Wt7BYu/OW5ZWW28oT75eDwS1mEEELcg5zxiQdj+HDYuBFu3YJTp2xB5OQE3t4wYkTLN0AdHB5MIbyigNTpCSHaSM74xMNTXW1bFd7RwaXdHBxsgdvK2CEhhLidbHWKh8fFBSZMuP/XGT9eQk8I0WYSfOLheuON+wstgwH+8pcH936EEI882eoUD5eiQECArRyhI/z8bM+VAbJCiDaS3xbi4dJoYOdOWzlEe7m62p4roSeEaAf5jSEevuHDYfduW//OtrKH3siRv977EkI8kiT4xO/Dk0/CDz/YSh9cXKClQbF6ve1rw4fDkSMwefJv/z6FEH94csYnfn+ysmy9PHfutDWxVhRb2UNcHPzXf8HAgQ/7HQoh/sAk+IQQQnQqstUphBCiU5HgE0II0alI8AkhhOhUJPiEEEJ0KhJ8QgghOhUJPiGEEJ2KBJ8QQohORYJPCCFEpyLBJ4QQolOR4BNCCNGpSPAJIYToVCT4hBBCdCoSfEIIIToVCT4hhBCdigSfEEKITkWCTwghRKciwSeEEKJTkeATQgjRqUjwCSGE6FQk+IQQQnQqEnxCCCE6FQk+IYQQncr/A/NqOLDg9IN3AAAAAElFTkSuQmCC\n", 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\n", 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" ] @@ -3692,7 +450,7 @@ { "data": { "text/plain": [ - "NodeView((1, 2, 3, 4, 6, 7, 8, 135, 136, 11, 16, 18, 19, 147, 149, 31, 159, 163, 167, 171, 49, 51, 52, 180, 181, 182, 185, 189, 197, 70, 201, 75, 76, 206, 82, 83, 97, 100, 232, 108, 239, 117, 248, 121, 250, 124))" + "NodeView((1, 2, 3, 4, 129, 6, 9, 10, 11, 12, 143, 17, 26, 29, 158, 38, 39, 167, 171, 48, 178, 185, 62, 64, 67, 68, 72, 75, 76, 203, 81, 210, 220, 221, 229, 106, 107, 238, 112, 113, 243, 117, 119, 248, 250, 125))" ] }, "execution_count": 12, @@ -3719,7 +477,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3745,14 +503,14 @@ "name": "stdout", "output_type": "stream", "text": [ - " 2 0.745 ind:AllPurposeFlour\n", - " 1 0.667 ind:ChickenEgg\n", - " 7 0.620 ind:Salt\n", - " 4 0.576 ind:Butter\n", - " 8 0.518 ind:CowMilk\n", - " 6 0.388 ind:WhiteSugar\n", + " 4 0.745 ind:AllPurposeFlour\n", + " 2 0.667 ind:ChickenEgg\n", + " 6 0.620 ind:Salt\n", + " 1 0.576 ind:Butter\n", + " 10 0.518 ind:CowMilk\n", + " 11 0.388 ind:WhiteSugar\n", " 3 0.275 ind:Water\n", - " 11 0.212 ind:VanillaExtract\n" + " 12 0.212 ind:VanillaExtract\n" ] } ], @@ -3782,14 +540,14 @@ "name": "stdout", "output_type": "stream", "text": [ - " 2 0.745 0.082 ind:AllPurposeFlour\n", - " 1 0.667 0.072 ind:ChickenEgg\n", - " 7 0.620 0.066 ind:Salt\n", - " 4 0.576 0.062 ind:Butter\n", - " 8 0.518 0.055 ind:CowMilk\n", - " 6 0.388 0.042 ind:WhiteSugar\n", + " 4 0.745 0.082 ind:AllPurposeFlour\n", + " 2 0.667 0.072 ind:ChickenEgg\n", + " 6 0.620 0.066 ind:Salt\n", + " 1 0.576 0.062 ind:Butter\n", + " 10 0.518 0.055 ind:CowMilk\n", + " 11 0.388 0.042 ind:WhiteSugar\n", " 3 0.275 0.034 ind:Water\n", - " 11 0.212 0.022 ind:VanillaExtract\n" + " 12 0.212 0.022 ind:VanillaExtract\n" ] } ], diff --git a/examples/ex7_1.ipynb b/examples/ex7_1.ipynb index d8ad47b..cc1e7f9 100644 --- a/examples/ex7_1.ipynb +++ b/examples/ex7_1.ipynb @@ -30,7 +30,7 @@ "\n", "One way to visualize some of these trade-offs is in the following diagram:\n", "\n", - "\n", + "\n", "\n", "Note in the top/right corner of the diagram that a relatively formal category of graph-based approaches is called [*statistical relational learning*](https://www.cs.umd.edu/srl-book/).\n", "The gist is that so much of the *network analysis* that we want to perform can be describe mathematically as [*markov networks*](https://en.wikipedia.org/wiki/Markov_random_field), in terms of probabilistic models.\n", diff --git a/mkdocs.yml b/mkdocs.yml index 156ad9d..fd1a741 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -15,6 +15,7 @@ nav: - Concepts: concepts.md - Package Reference: ref.md - Dependencies: depend.md + - Build Instructions: build.md - About The Author(s): author.md - Tutorial: - Setup: