





def        __lowerCamelCase (							__a       :str   )		->    list[int]:






		"""simple docstring"""

		A__  				=       [0 for i in range(len(__a   )   )]

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

		for i in range(1   ,					len(__a   )   ):
				# 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(__a   ,					__a   ,					__a   ):
						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        __lowerCamelCase (							__a       :int   ,					__a       :list[int]   ,					__a       :str   )		->    bool:






		"""simple docstring"""

		return i + z_result[i] < len(__a   ) and s[z_result[i]] == s[i + z_result[i]]







def        __lowerCamelCase (							__a       :str   ,					__a       :str   )		->    int:






		"""simple docstring"""

		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(__a   ):
						answer += 1

		return answer


if __name__ == "__main__":
					import doctest

					doctest.testmod()










from typing import TYPE_CHECKING

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


A   : Optional[Any]			=				{'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A   : List[str]			=				[
					    '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''ViTMAEForPreTraining''',
					    '''ViTMAELayer''',
					    '''ViTMAEModel''',
					    '''ViTMAEPreTrainedModel''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A   : Any			=				[
					    '''TFViTMAEForPreTraining''',
					    '''TFViTMAEModel''',
					    '''TFViTMAEPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_vit_mae import (
										    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ViTMAEForPreTraining,
										    ViTMAELayer,
										    ViTMAEModel,
										    ViTMAEPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
					import sys

					A   : str			=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



