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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,6 +1,12 @@ | ||
| !!! Note "" | ||
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| دقت تجزیهگر سطحی در نسخهٔ حاضر {{chunker_evaluation_value | to_persian_numeral}} درصد است. | ||
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| ::: hazm.chunker | ||
| handler: python | ||
| options: | ||
| members: - Chunker - tree2brackets | ||
| show_root_heading: false | ||
| show_source: false | ||
| handler: python | ||
| options: | ||
| members: | ||
| - Chunker | ||
| - tree2brackets | ||
| show_root_heading: false | ||
| show_source: false |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1,6 @@ | ||
| !!! note "" | ||
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| دقت لماتایزر در نسخهٔ حاضر {{lemmatizer_evaluation_value | to_persian_numeral}} درصد است. | ||
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| ::: hazm.lemmatizer |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| import toml | ||
| from packaging import version | ||
| import re | ||
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| def get_evaluation_values(): | ||
| with open("README.md", "r", encoding="utf-8") as f: | ||
| content = f.read() | ||
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| table = re.search(r"(?<=## Evaluation\n\n)[\s\S]*",content).group(0) | ||
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| pattern = r"\|(\s*[\w\s]+)\s*\|\s*\*\*(\d+\.\d+)\%\*\*\s*\|" | ||
| matches = re.findall(pattern, table) | ||
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| evaluation_values = {module.strip(): float(value) for module, value in matches} | ||
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| return evaluation_values | ||
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| def define_env(env): | ||
| env.variables.pretrained_models="https://github.com/roshan-research/hazm#pretrained-models" | ||
| env.variables.lemmatizer_evaluation_value = get_evaluation_values()["Lemmatizer"] | ||
| env.variables.posTagger_evaluation_value = get_evaluation_values()["POSTagger"] | ||
| env.variables.dependency_parser_evaluation_value = get_evaluation_values()["DependencyParser"] | ||
| env.variables.chunker_evaluation_value = get_evaluation_values()["Chunker"] | ||
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| @env.filter | ||
| def to_persian_numeral(number): | ||
| english_to_persian = {'0': '۰', '1': '۱', '2': '۲', '3': '۳', '4': '۴', '5': '۵', '6': '۶', '7': '۷', '8': '۸', '9': '۹'} | ||
| return ''.join(english_to_persian.get(digit, digit) for digit in str(number)) | ||
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| @env.macro | ||
| def needed_python_version(): | ||
| with open('pyproject.toml', 'r') as f: | ||
| toml_data = toml.load(f) | ||
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| python_reqs = toml_data.get('tool', {}).get('poetry', {}).get('dependencies', {}).get('python', '') | ||
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| versions = [version.parse(c.split('>=')[1]) for c in python_reqs.split(',') if c.startswith('>=')] | ||
| min_version = "+"+str(min(versions)) if versions else '' | ||
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| return min_version | ||
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| @env.macro | ||
| def hazm_code_example(): | ||
| with open("README.md", 'r', encoding='utf-8') as file: | ||
| markdown_content = file.read() | ||
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| pattern = r"(?<=## Usage\n\n)```python[\s\S]*```" | ||
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| return re.search(pattern, markdown_content).group(0) | ||
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