

'''simple docstring'''

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


SCREAMING_SNAKE_CASE							:				Tuple     	=			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:				int     	=			{
    "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    snake_case     (      lowercase_		):






				"""simple docstring"""
				_a    	=     """vit_mae"""



				def __init__(    self,     _lowercase=768,     _lowercase=12,     _lowercase=12,     _lowercase=3072,     _lowercase="gelu",     _lowercase=0.0,     _lowercase=0.0,     _lowercase=0.02,     _lowercase=1E-12,     _lowercase=224,     _lowercase=16,     _lowercase=3,     _lowercase=True,     _lowercase=16,     _lowercase=512,     _lowercase=8,     _lowercase=2048,     _lowercase=0.75,     _lowercase=False,     **_lowercase,     )     ->							Union[str, Any]:
											super().__init__(**snake_case_       )

											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     __a			:



	def __init__(    self				:     List[Any]					,						snake_case_				:     str					,						snake_case_				:     str)->				Optional[int]:
						__lowerCAmelCase ,						__lowerCAmelCase						 =text, pattern
						__lowerCAmelCase ,						__lowerCAmelCase						 =len(snake_case_), len(snake_case_)



	def 		UpperCamelCase				(    self				:     List[Any]					,						snake_case_				:     str)->				int:

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



	def 		UpperCamelCase				(    self				:     List[str]					,						snake_case_				:     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 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						# searches pattern in text and returns index positions
						__lowerCAmelCase						 =[]
						for i in range(self.textLen - self.patLen + 1):
											__lowerCAmelCase						 =self.mismatch_in_text(snake_case_)
											if mismatch_index == -1:
																positions.append(snake_case_)
											else:
																__lowerCAmelCase						 =self.match_in_pattern(self.text[mismatch_index])
																__lowerCAmelCase						 =(
																    mismatch_index - match_index
																)  # shifting index lgtm [py/multiple-definition]
						return positions


lowercase_													=      '''ABAABA'''
lowercase_													=      '''AB'''
lowercase_													=      BoyerMooreSearch(text, pattern)
lowercase_													=      bms.bad_character_heuristic()

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




