'''simple docstring'''







def    lowerCamelCase       (			UpperCAmelCase__				:  str		)			->	str:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = 0

							# if input_string is "aba" than new_input_string become "a|b|a"
							SCREAMING_SNAKE_CASE__     :str						    = ''
							SCREAMING_SNAKE_CASE__     :int						    = ''

							# append each character + "|" in new_string for range(0, length-1)
							for i in input_string[: len(UpperCAmelCase__		) - 1]:
														new_input_string += i + "|"
							# append last character
							new_input_string += input_string[-1]

							# we will store the starting and ending of previous furthest ending palindromic
							# substring
							SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :int						    = 0, 0

							# length[i] shows the length of palindromic substring with center i
							SCREAMING_SNAKE_CASE__     :Any						    = [1 for i in range(len(UpperCAmelCase__		)		)]

							# for each character in new_string find corresponding palindromic string
							SCREAMING_SNAKE_CASE__     :int						    = 0
							for j in range(len(UpperCAmelCase__		)		):
														SCREAMING_SNAKE_CASE__     :int						    = 1 if j > r else min(length[l + r - j] // 2				,						r - j + 1		)
														while (
														    j - k >= 0
														    and j + k < len(UpperCAmelCase__		)
														    and new_input_string[k + j] == new_input_string[j - k]
														):
																					k += 1

														SCREAMING_SNAKE_CASE__     :int						    = 2 * k - 1

														# does this string is ending after the previously explored end (that is r) ?
														# if yes the update the new r to the last index of this
														if j + k - 1 > r:
																					SCREAMING_SNAKE_CASE__     :Optional[int]						    = j - k + 1  # noqa: E741
																					SCREAMING_SNAKE_CASE__     :List[str]						    = j + k - 1

														# update max_length and start position
														if max_length < length[j]:
																					SCREAMING_SNAKE_CASE__     :str						    = length[j]
																					SCREAMING_SNAKE_CASE__     :Dict						    = j

    # create that string
							SCREAMING_SNAKE_CASE__     :Dict						    = new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
							for i in s:
														if i != "|":
																					output_string += i

							return output_string


if __name__ == "__main__":
		import doctest

		doctest.testmod()







'''simple docstring'''







from typing import TYPE_CHECKING

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


UpperCamelCase_      	=	{
    '''configuration_bloom''': ['''BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BloomConfig''', '''BloomOnnxConfig'''],
}
try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	['''BloomTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BloomForCausalLM''',
		    '''BloomModel''',
		    '''BloomPreTrainedModel''',
		    '''BloomForSequenceClassification''',
		    '''BloomForTokenClassification''',
		    '''BloomForQuestionAnswering''',
		]

if TYPE_CHECKING:
		from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bloom_fast import BloomTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bloom import (
				    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BloomForCausalLM,
				    BloomForQuestionAnswering,
				    BloomForSequenceClassification,
				    BloomForTokenClassification,
				    BloomModel,
				    BloomPreTrainedModel,
				)

else:
		import sys

		UpperCamelCase_      	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






