


"""simple docstring"""




def        lowercase							(		lowerCAmelCase__ :     str			) ->      list[int]:
		__a           =			[0 for i in range(len(lowerCAmelCase__			)			)]

		# initialize interval's left pointer and right pointer
		__a      ,     __a           =			0, 0

		for i in range(1    ,					len(lowerCAmelCase__			)			):
				# case when current index is inside the interval
				if i <= right_pointer:
						__a           =			min(right_pointer - i + 1    ,					z_result[i - left_pointer]			)
						__a           =			min_edge

				while go_next(lowerCAmelCase__    ,					lowerCAmelCase__    ,					lowerCAmelCase__			):
						z_result[i] += 1

				# if new index's result gives us more right interval,
				# we've to update left_pointer and right_pointer
				if i + z_result[i] - 1 > right_pointer:
						__a      ,     __a           =			i, i + z_result[i] - 1

		return z_result

def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list[int]    ,					lowerCAmelCase__ :     str			) ->      bool:
		return i + z_result[i] < len(lowerCAmelCase__			) and s[z_result[i]] == s[i + z_result[i]]

def        lowercase							(		lowerCAmelCase__ :     str    ,					lowerCAmelCase__ :     str			) ->      int:
		__a           =			0
		# concatenate 'pattern' and 'input_str' and call z_function
		# with concatenated string
		__a           =			z_function(pattern + input_str			)

		for val in z_result:
				# if value is greater then length of the pattern string
				# that means this index is starting position of substring
				# which is equal to pattern string
				if val >= len(lowerCAmelCase__			):
						answer += 1

		return answer


if __name__ == "__main__":
				import doctest

				doctest.testmod()










"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase_			     =  {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechConfig"]}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_			     =  [
				    "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "UniSpeechForCTC",
				    "UniSpeechForPreTraining",
				    "UniSpeechForSequenceClassification",
				    "UniSpeechModel",
				    "UniSpeechPreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_unispeech import (
								    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
								    UniSpeechForCTC,
								    UniSpeechForPreTraining,
								    UniSpeechForSequenceClassification,
								    UniSpeechModel,
								    UniSpeechPreTrainedModel,
								)

else:
				import sys

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






