






from __future__ import annotations

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				__magic_name__		:List[Any]        =      get_failure_array(snake_case )

				# 2) Step through text searching for pattern
				__magic_name__     ,				__magic_name__		:Optional[int]        =      0, 0  # index into text, pattern
				while i < len(snake_case ):
								if pattern[j] == text[i]:
												if j == (len(snake_case ) - 1):
																return True
												j += 1

								# if this is a prefix in our pattern
								# just go back far enough to continue
								elif j > 0:
												__magic_name__		:Optional[int]        =      failure[j - 1]
												continue
								i += 1
				return False

def      __lowercase					( snake_case ):







				"""simple docstring"""






				__magic_name__		:Optional[Any]        =      [0]
				__magic_name__		:List[str]        =      0
				__magic_name__		:List[Any]        =      1
				while j < len(snake_case ):
								if pattern[i] == pattern[j]:
												i += 1
								elif i > 0:
												__magic_name__		:List[Any]        =      failure[i - 1]
												continue
								j += 1
								failure.append(snake_case )
				return failure


if __name__ == "__main__":
					# Test 1)
					SCREAMING_SNAKE_CASE__      :			Optional[int]							=		"""abc1abc12"""
					SCREAMING_SNAKE_CASE__      :			str							=		"""alskfjaldsabc1abc1abc12k23adsfabcabc"""
					SCREAMING_SNAKE_CASE__      :			Dict							=		"""alskfjaldsk23adsfabcabc"""
					assert kmp(pattern, texta) and not kmp(pattern, texta)

					# Test 2)
					SCREAMING_SNAKE_CASE__      :			Any							=		"""ABABX"""
					SCREAMING_SNAKE_CASE__      :			List[Any]							=		"""ABABZABABYABABX"""
					assert kmp(pattern, text)

					# Test 3)
					SCREAMING_SNAKE_CASE__      :			Dict							=		"""AAAB"""
					SCREAMING_SNAKE_CASE__      :			Optional[int]							=		"""ABAAAAAB"""
					assert kmp(pattern, text)

					# Test 4)
					SCREAMING_SNAKE_CASE__      :			Optional[Any]							=		"""abcdabcy"""
					SCREAMING_SNAKE_CASE__      :			Tuple							=		"""abcxabcdabxabcdabcdabcy"""
					assert kmp(pattern, text)

					# Test 5)
					SCREAMING_SNAKE_CASE__      :			Union[str, Any]							=		"""aabaabaaa"""
					assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__      :			Tuple							=		{
    """configuration_table_transformer""": [
        """TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TableTransformerConfig""",
        """TableTransformerOnnxConfig""",
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__      :			List[str]							=		[
					    """TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TableTransformerForObjectDetection""",
					    """TableTransformerModel""",
					    """TableTransformerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_table_transformer import (
					    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    TableTransformerConfig,
					    TableTransformerOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_table_transformer import (
										    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TableTransformerForObjectDetection,
										    TableTransformerModel,
										    TableTransformerPreTrainedModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE__      :			Union[str, Any]							=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






