from typing import TYPE_CHECKING

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


__snake_case						=			{
    '''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:
     __snake_case						=			['''Pix2StructImageProcessor''']


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __snake_case						=			[
         '''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

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

'''simple docstring'''




def 				snake_case__							(			_A:					str )    ->	list[int]:

		'''simple docstring'''


		lowerCAmelCase   					=  [0 for i in range(len(_A ) )]

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

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

		return z_result






def 				snake_case__							(			_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 				snake_case__							(			_A:					str      ,   _A:					str )    ->	int:

		'''simple docstring'''


		lowerCAmelCase   					=  0
		# concatenate 'pattern' and 'input_str' and call z_function
		# with concatenated string
		lowerCAmelCase   					=  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()




