from ...configuration_utils import PretrainedConfig
from ...utils import logging


A   :     Dict       =				logging.get_logger(__name__)

A   :     Tuple       =				{
    "facebook/vit-mae-base": "https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}


class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  lowerCamelCase__   =  '''vit_mae'''







  def __init__(							self       :				List[Any]     ,   __magic_name__       :				Any=768     ,   __magic_name__       :				List[str]=12     ,   __magic_name__       :				str=12     ,   __magic_name__       :				str=3_072     ,   __magic_name__       :				int="gelu"     ,   __magic_name__       :				Union[str, Any]=0.0     ,   __magic_name__       :				Tuple=0.0     ,   __magic_name__       :				Dict=0.02     ,   __magic_name__       :				Dict=1e-12     ,   __magic_name__       :				Optional[Any]=224     ,   __magic_name__       :				Optional[int]=16     ,   __magic_name__       :				Union[str, Any]=3     ,   __magic_name__       :				Tuple=True     ,   __magic_name__       :				List[str]=16     ,   __magic_name__       :				Dict=512     ,   __magic_name__       :				List[str]=8     ,   __magic_name__       :				Union[str, Any]=2_048     ,   __magic_name__       :				int=0.75     ,   __magic_name__       :				Any=False     ,   **__magic_name__       :				int     ,   )     ->		int:
        super().__init__(**__magic_name__      )

        SCREAMING_SNAKE_CASE_      =     hidden_size
        SCREAMING_SNAKE_CASE_      =     num_hidden_layers
        SCREAMING_SNAKE_CASE_      =     num_attention_heads
        SCREAMING_SNAKE_CASE_      =     intermediate_size
        SCREAMING_SNAKE_CASE_      =     hidden_act
        SCREAMING_SNAKE_CASE_      =     hidden_dropout_prob
        SCREAMING_SNAKE_CASE_      =     attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE_      =     initializer_range
        SCREAMING_SNAKE_CASE_      =     layer_norm_eps
        SCREAMING_SNAKE_CASE_      =     image_size
        SCREAMING_SNAKE_CASE_      =     patch_size
        SCREAMING_SNAKE_CASE_      =     num_channels
        SCREAMING_SNAKE_CASE_      =     qkv_bias
        SCREAMING_SNAKE_CASE_      =     decoder_num_attention_heads
        SCREAMING_SNAKE_CASE_      =     decoder_hidden_size
        SCREAMING_SNAKE_CASE_      =     decoder_num_hidden_layers
        SCREAMING_SNAKE_CASE_      =     decoder_intermediate_size
        SCREAMING_SNAKE_CASE_      =     mask_ratio
        SCREAMING_SNAKE_CASE_      =     norm_pix_loss



from __future__ import annotations


class      lowerCamelCase    :
  """simple docstring"""







  def __init__(							self       :				Union[str, Any]     ,   __magic_name__       :				str     ,   __magic_name__       :				str      )     ->		Dict:
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     text, pattern
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     len(__magic_name__      ), len(__magic_name__      )







  def       __A   (							self       :				List[str]     ,   __magic_name__       :				str      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if char == self.pattern[i]:
                    return i
        return -1







  def       __A   (							self       :				Dict     ,   __magic_name__       :				int      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if self.pattern[i] != self.text[current_pos + i]:
                    return current_pos + i
        return -1







  def       __A   (							self       :				Tuple      )     ->		list[int]:
        # searches pattern in text and returns index positions
        SCREAMING_SNAKE_CASE_      =     []
        for i in range(self.textLen - self.patLen + 1      ):
              SCREAMING_SNAKE_CASE_      =     self.mismatch_in_text(__magic_name__      )
              if mismatch_index == -1:
                    positions.append(__magic_name__      )
              else:
                    SCREAMING_SNAKE_CASE_      =     self.match_in_pattern(self.text[mismatch_index]      )
                    SCREAMING_SNAKE_CASE_      =     (
                        mismatch_index - match_index
                    )  # shifting index lgtm [py/multiple-definition]
        return positions



A   :     Dict       =				"ABAABA"
A   :     Union[str, Any]       =				"AB"
A   :     str       =				BoyerMooreSearch(text, pattern)
A   :     Tuple       =				bms.bad_character_heuristic()

if len(positions) == 0:
      print("No match found")
else:
      print("Pattern found in following positions: ")
      print(positions)


