






# Lint as: python3
import itertools
import os
import re


A_		:		Dict		     =			re.compile(r'([A-Z]+)([A-Z][a-z])')
A_		:		List[str]		     =			re.compile(r'([a-z\d])([A-Z])')

A_		:		Optional[int]		     =			re.compile(r'(?<!_)_(?!_)')
A_		:		Tuple		     =			re.compile(r'(_{2,})')

A_		:		Tuple		     =			r'^\w+(\.\w+)*$'

A_		:		List[str]		     =			r'<>:/\|?*'

def   snake_case (UpperCAmelCase__  )	->    Dict:
  UpperCamelCase_: List[Any]   				=    _uppercase_uppercase_re.sub(R'\1_\2'     ,   UpperCAmelCase__  )
  UpperCamelCase_: int   				=    _lowercase_uppercase_re.sub(R'\1_\2'     ,   UpperCAmelCase__  )
  return name.lower()

def   snake_case (UpperCAmelCase__  )	->    Optional[int]:
  UpperCamelCase_: int   				=    _single_underscore_re.split(UpperCAmelCase__  )
  UpperCamelCase_: Dict   				=    [_multiple_underscores_re.split(UpperCAmelCase__  ) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCAmelCase__  ) if n != ''  )

def   snake_case (UpperCAmelCase__  )	->    Dict:
  if os.path.basename(UpperCAmelCase__  ) != name:
    raise ValueError(F'''Should be a dataset name, not a path: {name}'''  )
  return camelcase_to_snakecase(UpperCAmelCase__  )

def   snake_case (UpperCAmelCase__     ,   UpperCAmelCase__  )	->    List[Any]:
  if os.path.basename(UpperCAmelCase__  ) != name:
    raise ValueError(F'''Should be a dataset name, not a path: {name}'''  )
  if not re.match(_split_re     ,   UpperCAmelCase__  ):
    raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''  )
  return F'''{filename_prefix_for_name(UpperCAmelCase__  )}-{split}'''

def   snake_case (UpperCAmelCase__     ,   UpperCAmelCase__     ,   UpperCAmelCase__     ,   UpperCAmelCase__=None  )	->    Union[str, Any]:
  UpperCamelCase_: List[Any]   				=    filename_prefix_for_split(UpperCAmelCase__     ,   UpperCAmelCase__  )
  if filetype_suffix:
    prefix += F'''.{filetype_suffix}'''
  UpperCamelCase_: Optional[int]   				=    os.path.join(UpperCAmelCase__     ,   UpperCAmelCase__  )
  return F'''{filepath}*'''

def   snake_case (UpperCAmelCase__     ,   UpperCAmelCase__     ,   UpperCAmelCase__     ,   UpperCAmelCase__=None     ,   UpperCAmelCase__=None  )	->    List[Any]:
  UpperCamelCase_: Dict   				=    filename_prefix_for_split(UpperCAmelCase__     ,   UpperCAmelCase__  )
  UpperCamelCase_: Dict   				=    os.path.join(UpperCAmelCase__     ,   UpperCAmelCase__  )

  if shard_lengths:
    UpperCamelCase_: str   				=    len(UpperCAmelCase__  )
    UpperCamelCase_: Dict   				=    [F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(UpperCAmelCase__  )]
    if filetype_suffix:
      UpperCamelCase_: List[str]   				=    [filename + F'''.{filetype_suffix}''' for filename in filenames]
    return filenames
  else:
    UpperCamelCase_: Optional[Any]   				=    prefix
    if filetype_suffix:
      filename += F'''.{filetype_suffix}'''
    return [filename]







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     _lowerCAmelCase(	unittest.TestCase ):





       """simple docstring"""







       def       _a   ( self							):
         UpperCamelCase_: Any   				=    torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]							)
         UpperCamelCase_: List[str]   				=    get_activation('gelu'							)
         self.assertTrue(torch.allclose(gelu_python(_lowerCamelCase							)  ,      torch_builtin(_lowerCamelCase							)							)							)
         self.assertFalse(torch.allclose(gelu_python(_lowerCamelCase							)  ,      gelu_new(_lowerCamelCase							)							)							)





       def       _a   ( self							):
         UpperCamelCase_: Optional[Any]   				=    torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]							)
         UpperCamelCase_: Union[str, Any]   				=    get_activation('gelu'							)
         UpperCamelCase_: int   				=    get_activation('gelu_10'							)

         UpperCamelCase_: Union[str, Any]   				=    torch_builtin(_lowerCamelCase							)
         UpperCamelCase_: List[str]   				=    geluaa(_lowerCamelCase							)

         UpperCamelCase_: Dict   				=    torch.where(y_gelu_aa < 1_0.0  ,      1  ,      0							)

         self.assertTrue(torch.max(_lowerCamelCase							).item() == 1_0.0							)
         self.assertTrue(torch.allclose(y_gelu * clipped_mask  ,      y_gelu_aa * clipped_mask							)							)





       def       _a   ( self							):
         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(_lowerCamelCase							):
           get_activation('bogus'							)
         with self.assertRaises(_lowerCamelCase							):
           get_activation(_lowerCamelCase							)





       def       _a   ( self							):
         UpperCamelCase_: str   				=    get_activation('gelu'							)
         UpperCamelCase_: str   				=    1
         UpperCamelCase_: int   				=    get_activation('gelu'							)
         self.assertEqual(acta.a  ,      1							)
         with self.assertRaises(_lowerCamelCase							):
           UpperCamelCase_: Tuple   				=    acta.a