



'''simple docstring'''





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
       import torch

       from transformers.activations import gelu_new, gelu_python, get_activation







@require_torch
class     UpperCAmelCase_       (       unittest.TestCase	):
    """simple docstring"""







    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    List[Any]    						=      torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]						)
          snake_case__  :    Optional[int]    						=      get_activation("""gelu"""						)
          self.assertTrue(torch.allclose(gelu_python(snake_case_						) ,     torch_builtin(snake_case_						)						)						)
          self.assertFalse(torch.allclose(gelu_python(snake_case_						) ,     gelu_new(snake_case_						)						)						)




    def lowerCamelCase       (    self					:     int						):
          snake_case__  :    int    						=      torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]						)
          snake_case__  :    Union[str, Any]    						=      get_activation("""gelu"""						)
          snake_case__  :    Optional[Any]    						=      get_activation("""gelu_10"""						)

          snake_case__  :    Any    						=      torch_builtin(snake_case_						)
          snake_case__  :    Any    						=      geluaa(snake_case_						)

          snake_case__  :    Optional[Any]    						=      torch.where(y_gelu_aa < 10.0 ,     1 ,     0						)

          self.assertTrue(torch.max(snake_case_						).item() == 10.0						)
          self.assertTrue(torch.allclose(y_gelu * clipped_mask ,     y_gelu_aa * clipped_mask						)						)




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          get_activation("""gelu"""						)
          get_activation("""gelu_10"""						)
          get_activation("""gelu_fast"""						)
          get_activation("""gelu_new"""						)
          get_activation("""gelu_python"""						)
          get_activation("""gelu_pytorch_tanh"""						)
          get_activation("""linear"""						)
          get_activation("""mish"""						)
          get_activation("""quick_gelu"""						)
          get_activation("""relu"""						)
          get_activation("""sigmoid"""						)
          get_activation("""silu"""						)
          get_activation("""swish"""						)
          get_activation("""tanh"""						)
          with self.assertRaises(snake_case_						):
                get_activation("""bogus"""						)
          with self.assertRaises(snake_case_						):
                get_activation(snake_case_						)




    def lowerCamelCase       (    self					:     List[Any]						):
          snake_case__  :    Optional[Any]    						=      get_activation("""gelu"""						)
          snake_case__  :    Tuple    						=      1
          snake_case__  :    Dict    						=      get_activation("""gelu"""						)
          self.assertEqual(acta.a ,     1						)
          with self.assertRaises(snake_case_						):
                snake_case__  :    Union[str, Any]    						=      acta.a





'''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		)
