





from collections import OrderedDict
from typing import Mapping

from packaging import version

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


A_												=     logging.get_logger(__name__)

A_												=     {
    "sail/poolformer_s12": "https://huggingface.co/sail/poolformer_s12/resolve/main/config.json",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "poolformer"





					def __init__( self	,  _lowerCAmelCase=3	,  _lowerCAmelCase=16	,  _lowerCAmelCase=16	,  _lowerCAmelCase=3	,  _lowerCAmelCase=4.0	,  _lowerCAmelCase=[2, 2, 6, 2]	,  _lowerCAmelCase=[64, 128, 320, 512]	,  _lowerCAmelCase=[7, 3, 3, 3]	,  _lowerCAmelCase=[4, 2, 2, 2]	,  _lowerCAmelCase=[2, 1, 1, 1]	,  _lowerCAmelCase=4	,  _lowerCAmelCase=0.0	,  _lowerCAmelCase="gelu"	,  _lowerCAmelCase=True	,  _lowerCAmelCase=1E-5	,  _lowerCAmelCase=0.02	,  **_lowerCAmelCase	,  ):
										lowerCamelCase__       =       num_channels
										lowerCamelCase__       =       patch_size
										lowerCamelCase__       =       stride
										lowerCamelCase__       =       padding
										lowerCamelCase__       =       pool_size
										lowerCamelCase__       =       hidden_sizes
										lowerCamelCase__       =       mlp_ratio
										lowerCamelCase__       =       depths
										lowerCamelCase__       =       patch_sizes
										lowerCamelCase__       =       strides
										lowerCamelCase__       =       num_encoder_blocks
										lowerCamelCase__       =       drop_path_rate
										lowerCamelCase__       =       hidden_act
										lowerCamelCase__       =       use_layer_scale
										lowerCamelCase__       =       layer_scale_init_value
										lowerCamelCase__       =       initializer_range
										super().__init__(**_lowerCAmelCase	)

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    version.parse("1.11"   )





					@property
					def 					__magic_name__ ( self	):
										return OrderedDict(
										    [
										        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
										    ]	)






					@property
					def 					__magic_name__ ( self	):
										return 2E-3








from __future__ import annotations

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										lowerCamelCase__    ,		lowerCamelCase__       =       text, pattern
										lowerCamelCase__    ,		lowerCamelCase__       =       len(_lowerCAmelCase	), len(_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):

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





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):

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

A_												=     "ABAABA"
A_												=     "AB"
A_												=     BoyerMooreSearch(text, pattern)
A_												=     bms.bad_character_heuristic()

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

