




'''simple docstring'''







from typing import TYPE_CHECKING

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


A     ={
    'configuration_clip': [
        'CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'CLIPConfig',
        'CLIPOnnxConfig',
        'CLIPTextConfig',
        'CLIPVisionConfig',
    ],
    'processing_clip': ['CLIPProcessor'],
    'tokenization_clip': ['CLIPTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =['CLIPTokenizerFast']

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =['CLIPFeatureExtractor']
   A     =['CLIPImageProcessor']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =[
       'CLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
       'CLIPModel',
       'CLIPPreTrainedModel',
       'CLIPTextModel',
       'CLIPTextModelWithProjection',
       'CLIPVisionModel',
       'CLIPVisionModelWithProjection',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =[
       'TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
       'TFCLIPModel',
       'TFCLIPPreTrainedModel',
       'TFCLIPTextModel',
       'TFCLIPVisionModel',
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A     =[
       'FlaxCLIPModel',
       'FlaxCLIPPreTrainedModel',
       'FlaxCLIPTextModel',
       'FlaxCLIPTextPreTrainedModel',
       'FlaxCLIPVisionModel',
       'FlaxCLIPVisionPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_clip import (
       CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
       CLIPConfig,
       CLIPOnnxConfig,
       CLIPTextConfig,
       CLIPVisionConfig,
   )
   from .processing_clip import CLIPProcessor
   from .tokenization_clip import CLIPTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_clip_fast import CLIPTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_clip import CLIPFeatureExtractor
      from .image_processing_clip import CLIPImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_clip import (
          CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
          CLIPModel,
          CLIPPreTrainedModel,
          CLIPTextModel,
          CLIPTextModelWithProjection,
          CLIPVisionModel,
          CLIPVisionModelWithProjection,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_clip import (
          TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFCLIPModel,
          TFCLIPPreTrainedModel,
          TFCLIPTextModel,
          TFCLIPVisionModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_clip import (
          FlaxCLIPModel,
          FlaxCLIPPreTrainedModel,
          FlaxCLIPTextModel,
          FlaxCLIPTextPreTrainedModel,
          FlaxCLIPVisionModel,
          FlaxCLIPVisionPreTrainedModel,
      )


else:
   import sys

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










'''simple docstring'''







def 						snake_case_							(_a	:							str    ,   _a	:							str     ):
    UpperCAmelCase			       =		len(_a     ) + 1
    UpperCAmelCase			       =		len(_a     ) + 1

    # dp is a 2d matrix where dp[i][j] denotes whether prefix string of
    # length i of input_string matches with prefix string of length j of
    # given pattern.
    # "dp" stands for dynamic programming.
    UpperCAmelCase			       =		[[0 for i in range(_a     )] for j in range(_a     )]

    # since string of zero length match pattern of zero length
    UpperCAmelCase			       =		1

    # since pattern of zero length will never match with string of non-zero length
    for i in range(1    ,   _a     ):
        UpperCAmelCase			       =		0

    # since string of zero length will match with pattern where there
    # is at least one * alternatively
    for j in range(1    ,   _a     ):
        UpperCAmelCase			       =		dp[0][j - 2] if pattern[j - 1] == '''*''' else 0

    # now using bottom-up approach to find for all remaining lengths
    for i in range(1    ,   _a     ):
        for j in range(1    ,   _a     ):
            if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
                UpperCAmelCase			       =		dp[i - 1][j - 1]

            elif pattern[j - 1] == "*":
                if dp[i][j - 2] == 1:
                    UpperCAmelCase			       =		1
                elif pattern[j - 2] in (input_string[i - 1], "."):
                    UpperCAmelCase			       =		dp[i - 1][j]
                else:
                    UpperCAmelCase			       =		0
            else:
                UpperCAmelCase			       =		0

    return bool(dp[-1][-1]     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # inputing the strings
   # input_string = input("input a string :")
   # pattern = input("input a pattern :")

   A     ='aab'
   A     ='c*a*b'

   # using function to check whether given string matches the given pattern
   if match_pattern(input_string, pattern):
      print(f"""{input_string} matches the given pattern {pattern}""")
   else:
      print(f"""{input_string} does not match with the given pattern {pattern}""")




