


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,
)


UpperCAmelCase      =   {
    """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:
   UpperCAmelCase      =   ["""CLIPTokenizerFast"""]

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

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

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

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase      =   [
       """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

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



def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE )->  list[int]:




      """simple docstring"""

      snake_case_	=				int(SCREAMING_SNAKE_CASE )

      # Initialize Result
      snake_case_	=				[]

      # Traverse through all denomination
      for denomination in reversed(SCREAMING_SNAKE_CASE ):
            # Find denominations
            while int(SCREAMING_SNAKE_CASE ) >= int(SCREAMING_SNAKE_CASE ):
                  total_value -= int(SCREAMING_SNAKE_CASE )
                  answer.append(SCREAMING_SNAKE_CASE )  # Append the "answers" array

      return answer


# Driver Code
if __name__ == "__main__":
   UpperCAmelCase      =   []
   UpperCAmelCase      =   """0"""

   if (
       input("""Do you want to enter your denominations ? (yY/n): """).strip().lower()
       == "y"
   ):
      UpperCAmelCase      =   int(input("""Enter the number of denominations you want to add: """).strip())

      for i in range(0, n):
         denominations.append(int(input(f'''Denomination {i}: ''').strip()))
      UpperCAmelCase      =   input("""Enter the change you want to make in Indian Currency: """).strip()
   else:
      # All denominations of Indian Currency if user does not enter
      UpperCAmelCase      =   [1, 2, 5, 10, 20, 50, 100, 500, 2000]
      UpperCAmelCase      =   input("""Enter the change you want to make: """).strip()

   if int(value) == 0 or int(value) < 0:
      print("""The total value cannot be zero or negative.""")

   else:
      print(f'''Following is minimal change for {value}: ''')
      UpperCAmelCase      =   find_minimum_change(denominations, value)
      # Print result
      for i in range(len(answer)):
         print(answer[i], end=""" """)