



'''simple docstring'''





import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")





def 						__snake_case(				_lowerCAmelCase		)		-> int:
      snake_case__  :    Optional[int]    						=      test_file.split(os.path.sep		)
      if components[0:2] != ["tests", "models"]:
            raise ValueError(
                """`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got """
                f"{test_file} instead."		)
      snake_case__  :    Dict    						=      components[-1]
      if not test_fn.endswith("""py"""		):
            raise ValueError(f"`test_file` should be a python file. Got {test_fn} instead."		)
      if not test_fn.startswith("""test_modeling_"""		):
            raise ValueError(
                f"`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."		)

      snake_case__  :    int    						=      components[:-1] + [test_fn.replace(""".py"""     ,   """"""		)]
      snake_case__  :    int    						=      """.""".join(_lowerCAmelCase		)

      return test_module_path





def 						__snake_case(				_lowerCAmelCase		)		-> List[str]:
      snake_case__  :    str    						=      get_module_path(_lowerCAmelCase		)
      snake_case__  :    Union[str, Any]    						=      importlib.import_module(_lowerCAmelCase		)

      return test_module





def 						__snake_case(				_lowerCAmelCase		)		-> int:
      snake_case__  :    List[Any]    						=      []
      snake_case__  :    Optional[int]    						=      get_test_module(_lowerCAmelCase		)
      for attr in dir(_lowerCAmelCase		):
            if attr.endswith("""ModelTester"""		):
                  tester_classes.append(getattr(_lowerCAmelCase     ,   _lowerCAmelCase		)		)

    # sort with class names
      return sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x.__name__		)





def 						__snake_case(				_lowerCAmelCase		)		-> Dict:
      snake_case__  :    List[str]    						=      []
      snake_case__  :    Any    						=      get_test_module(_lowerCAmelCase		)
      for attr in dir(_lowerCAmelCase		):
            snake_case__  :    Dict    						=      getattr(_lowerCAmelCase     ,   _lowerCAmelCase		)
            # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
            # `all_model_classes` is not empty (which also excludes other special classes).
            snake_case__  :    List[str]    						=      getattr(_lowerCAmelCase     ,   """all_model_classes"""     ,   []		)
            if len(_lowerCAmelCase		) > 0:
                  test_classes.append(_lowerCAmelCase		)

    # sort with class names
      return sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x.__name__		)





def 						__snake_case(				_lowerCAmelCase		)		-> Dict:
      snake_case__  :    Any    						=      get_test_classes(_lowerCAmelCase		)
      snake_case__  :    Optional[Any]    						=      set()
      for test_class in test_classes:
            model_classes.update(test_class.all_model_classes		)

      # sort with class names
      return sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x.__name__		)





def 						__snake_case(				_lowerCAmelCase		)		-> Optional[Any]:
      snake_case__  :    Optional[int]    						=      test_class()
      if hasattr(_lowerCAmelCase     ,   """setUp"""		):
            test.setUp()

      snake_case__  :    Any    						=      None
      if hasattr(_lowerCAmelCase     ,   """model_tester"""		):
            # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
            if test.model_tester is not None:
                  snake_case__  :    Tuple    						=      test.model_tester.__class__

      return model_tester





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> Dict:
      snake_case__  :    Union[str, Any]    						=      get_test_classes(_lowerCAmelCase		)

      snake_case__  :    str    						=      []
      for test_class in test_classes:
            if model_class in test_class.all_model_classes:
                  target_test_classes.append(_lowerCAmelCase		)

    # sort with class names
      return sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x.__name__		)





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> Tuple:
      snake_case__  :    Optional[Any]    						=      get_test_classes_for_model(_lowerCAmelCase     ,   _lowerCAmelCase		)

      snake_case__  :    Union[str, Any]    						=      []
      for test_class in test_classes:
            snake_case__  :    Tuple    						=      get_model_tester_from_test_class(_lowerCAmelCase		)
            if tester_class is not None:
                  tester_classes.append(_lowerCAmelCase		)

    # sort with class names
      return sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x.__name__		)





def 						__snake_case(				_lowerCAmelCase		)		-> Union[str, Any]:
      snake_case__  :    Optional[Any]    						=      get_test_classes(_lowerCAmelCase		)
      snake_case__  :    Union[str, Any]    						=      {test_class: get_model_tester_from_test_class(_lowerCAmelCase		) for test_class in test_classes}
      return test_tester_mapping





def 						__snake_case(				_lowerCAmelCase		)		-> int:
      snake_case__  :    Any    						=      get_model_classes(_lowerCAmelCase		)
      snake_case__  :    Any    						=      {
          model_class: get_test_classes_for_model(_lowerCAmelCase     ,   _lowerCAmelCase		) for model_class in model_classes
      }
      return model_test_mapping





def 						__snake_case(				_lowerCAmelCase		)		-> Optional[int]:
      snake_case__  :    Union[str, Any]    						=      get_model_classes(_lowerCAmelCase		)
      snake_case__  :    str    						=      {
          model_class: get_tester_classes_for_model(_lowerCAmelCase     ,   _lowerCAmelCase		) for model_class in model_classes
      }
      return model_to_tester_mapping





def 						__snake_case(				_lowerCAmelCase		)		-> int:
      if isinstance(_lowerCAmelCase     ,   _lowerCAmelCase		):
            return o
      elif isinstance(_lowerCAmelCase     ,   _lowerCAmelCase		):
            return o.__name__
      elif isinstance(_lowerCAmelCase     ,   (list, tuple)		):
            return [to_json(_lowerCAmelCase		) for x in o]
      elif isinstance(_lowerCAmelCase     ,   _lowerCAmelCase		):
            return {to_json(_lowerCAmelCase		): to_json(_lowerCAmelCase		) for k, v in o.items()}
      else:
            return o





'''simple docstring'''





import string
from math import logaa





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> int:
      snake_case__  :    List[str]    						=      document.translate(
          str.maketrans(""""""     ,   """"""     ,   string.punctuation		)		).replace("""\n"""     ,   """"""		)
      snake_case__  :    List[str]    						=      document_without_punctuation.split(""" """		)  # word tokenization
      return len([word for word in tokenize_document if word.lower() == term.lower()]		)





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> tuple[int, int]:
      snake_case__  :    Dict    						=      corpus.lower().translate(
          str.maketrans(""""""     ,   """"""     ,   string.punctuation		)		)  # strip all punctuation and replace it with ''
      snake_case__  :    Any    						=      corpus_without_punctuation.split("""\n"""		)
      snake_case__  :    int    						=      term.lower()
      return (len([doc for doc in docs if term in doc]		), len(_lowerCAmelCase		))





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase=False		)		-> float:
      if smoothing:
            if n == 0:
                  raise ValueError("""log10(0) is undefined."""		)
            return round(1 + logaa(n / (1 + df)		)     ,   3		)

      if df == 0:
            raise ZeroDivisionError("""df must be > 0"""		)
      elif n == 0:
            raise ValueError("""log10(0) is undefined."""		)
      return round(logaa(n / df		)     ,   3		)





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> float:
      return round(tf * idf     ,   3		)
