





'''simple docstring'''


import math
import os
import sys
def 							UpperCAmelCase_  (						__lowerCamelCase : str			):
   lowercase_      :Tuple         =			""
   try:
      with open(_UpperCamelCase     ,"rb"			) as binary_file:
         lowercase_      :List[Any]         =			binary_file.read()
      for dat in data:
         lowercase_      :str         =			F'{dat:08b}'
         result += curr_byte
      return result
   except OSError:
      print("File not accessible"			)
      sys.exit()
def 							UpperCAmelCase_  (						__lowerCamelCase : dict[str, str]     ,__lowerCamelCase : str     ,__lowerCamelCase : int     ,__lowerCamelCase : str			):
   lexicon.pop(_UpperCamelCase			)
   lowercase_      :Optional[int]         =			last_match_id

   if math.loga(_UpperCamelCase			).is_integer():
      for curr_key in lexicon:
         lowercase_      :Tuple         =			"0" + lexicon[curr_key]

   lowercase_      :Optional[int]         =			bin(_UpperCamelCase			)[2:]
def 							UpperCAmelCase_  (						__lowerCamelCase : str			):
   lowercase_      :Optional[Any]         =			{"0": "0", "1": "1"}
   lowercase_      ,							lowercase_      :str         =			"", ""
   lowercase_      :str         =			len(_UpperCamelCase			)

   for i in range(len(_UpperCamelCase			)			):
      curr_string += data_bits[i]
      if curr_string not in lexicon:
         continue

      lowercase_      :int         =			lexicon[curr_string]
      result += last_match_id
      add_key_to_lexicon(_UpperCamelCase     ,_UpperCamelCase     ,_UpperCamelCase     ,_UpperCamelCase			)
      index += 1
      lowercase_      :Union[str, Any]         =			""

   while curr_string != "" and curr_string not in lexicon:
      curr_string += "0"

   if curr_string != "":
      lowercase_      :str         =			lexicon[curr_string]
      result += last_match_id

   return result
def 							UpperCAmelCase_  (						__lowerCamelCase : str     ,__lowerCamelCase : str			):
   lowercase_      :Tuple         =			os.path.getsize(_UpperCamelCase			)
   lowercase_      :str         =			bin(_UpperCamelCase			)[2:]
   lowercase_      :int         =			len(_UpperCamelCase			)

   return "0" * (length_length - 1) + file_length_binary + compressed
def 							UpperCAmelCase_  (						__lowerCamelCase : str     ,__lowerCamelCase : str			):
   lowercase_      :Tuple         =			8
   try:
      with open(_UpperCamelCase     ,"wb"			) as opened_file:
         lowercase_      :int         =			[
             to_write[i : i + byte_length]
             for i in range(0     ,len(_UpperCamelCase			)     ,_UpperCamelCase			)
         ]

         if len(result_byte_array[-1]			) % byte_length == 0:
            result_byte_array.append("10000000"			)
         else:
            result_byte_array[-1] += "1" + "0" * (
                byte_length - len(result_byte_array[-1]			) - 1
            )

         for elem in result_byte_array:
            opened_file.write(int(_UpperCamelCase     ,2			).to_bytes(1     ,byteorder="big"			)			)
   except OSError:
      print("File not accessible"			)
      sys.exit()
def 							UpperCAmelCase_  (						__lowerCamelCase : str     ,__lowerCamelCase : str			):
   lowercase_      :str         =			read_file_binary(_UpperCamelCase			)
   lowercase_      :Optional[int]         =			compress_data(_UpperCamelCase			)
   lowercase_      :Optional[int]         =			add_file_length(_UpperCamelCase     ,_UpperCamelCase			)
   write_file_binary(_UpperCamelCase     ,_UpperCamelCase			)


if __name__ == "__main__":
 compress(sys.argv[1], sys.argv[2])









'''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,
)


lowerCAmelCase :					int 							={
    '''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:
 lowerCAmelCase :					Any 							=['''CLIPTokenizerFast''']

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase :					str 							=['''CLIPFeatureExtractor''']
 lowerCAmelCase :					Optional[int] 							=['''CLIPImageProcessor''']

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

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

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase :					List[Any] 							=[
     '''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

 lowerCAmelCase :					int 							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


