





from __future__ import annotations

class        __SCREAMING_SNAKE_CASE					:






							def __init__(						self  , __lowerCAmelCase  , __lowerCAmelCase  ):
														UpperCamelCase__     ,     UpperCamelCase__				     =			text, pattern
														UpperCamelCase__     ,     UpperCamelCase__				     =			len(__lowerCAmelCase  ), len(__lowerCAmelCase  )






							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  ):

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






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






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

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











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase__											= {
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__											= ["Pix2StructImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__											= [
					    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "Pix2StructPreTrainedModel",
					    "Pix2StructForConditionalGeneration",
					    "Pix2StructVisionModel",
					    "Pix2StructTextModel",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					UpperCamelCase__											= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




