
def 							A						(    snake_case				:str		)				->     list[int]:
 __UpperCamelCase      =	[0 for i in range(len(snake_case		)		)]

 # initialize interval's left pointer and right pointer
 __UpperCamelCase  ,     __UpperCamelCase      =	0, 0

 for i in range(1    , len(snake_case		)		):
  # case when current index is inside the interval
  if i <= right_pointer:
   __UpperCamelCase      =	min(right_pointer - i + 1    , z_result[i - left_pointer]		)
   __UpperCamelCase      =	min_edge

  while go_next(snake_case    , snake_case    , snake_case		):
   z_result[i] += 1

  # if new index's result gives us more right interval,
  # we've to update left_pointer and right_pointer
  if i + z_result[i] - 1 > right_pointer:
   __UpperCamelCase  ,     __UpperCamelCase      =	i, i + z_result[i] - 1

 return z_result






def 							A						(    snake_case				:int    , snake_case				:list[int]    , snake_case				:str		)				->     bool:
 return i + z_result[i] < len(snake_case		) and s[z_result[i]] == s[i + z_result[i]]






def 							A						(    snake_case				:str    , snake_case				:str		)				->     int:
 __UpperCamelCase      =	0
 # concatenate 'pattern' and 'input_str' and call z_function
 # with concatenated string
 __UpperCamelCase      =	z_function(pattern + input_str		)

 for val in z_result:
  # if value is greater then length of the pattern string
  # that means this index is starting position of substring
  # which is equal to pattern string
  if val >= len(snake_case		):
   answer += 1

 return answer


if __name__ == "__main__":
      import doctest

      doctest.testmod()





"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase     :    Union[str, Any]       =			logging.get_logger(__name__)

UpperCamelCase     :    int       =			{
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):
     lowercase						       =						"distilbert"
     lowercase						       =						{
         "hidden_size": "dim",
         "num_attention_heads": "n_heads",
         "num_hidden_layers": "n_layers",
     }





     def __init__(     self     ,					__UpperCAmelCase=3_0522     ,					__UpperCAmelCase=512     ,					__UpperCAmelCase=False     ,					__UpperCAmelCase=6     ,					__UpperCAmelCase=12     ,					__UpperCAmelCase=768     ,					__UpperCAmelCase=4 * 768     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase="gelu"     ,					__UpperCAmelCase=0.0_2     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase=0.2     ,					__UpperCAmelCase=0     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	vocab_size
      __UpperCamelCase      =	max_position_embeddings
      __UpperCamelCase      =	sinusoidal_pos_embds
      __UpperCamelCase      =	n_layers
      __UpperCamelCase      =	n_heads
      __UpperCamelCase      =	dim
      __UpperCamelCase      =	hidden_dim
      __UpperCamelCase      =	dropout
      __UpperCamelCase      =	attention_dropout
      __UpperCamelCase      =	activation
      __UpperCamelCase      =	initializer_range
      __UpperCamelCase      =	qa_dropout
      __UpperCamelCase      =	seq_classif_dropout
      super().__init__(**__UpperCAmelCase     ,					pad_token_id=__UpperCAmelCase				)


class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     @property
     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      if self.task == "multiple-choice":
       __UpperCamelCase      =	{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
       __UpperCamelCase      =	{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
          ]				)



