"""simple docstring"""





import math
import sys


def    lowercase_   (   _lowerCamelCase:	str      ) ->      str:



       '''simple docstring'''

       __lowerCamelCase					:		Dict		   =     """"""
       try:
              with open(UpperCAmelCase__						,   "rb"      ) as binary_file:
                     __lowerCamelCase					:		List[Any]		   =     binary_file.read()
              for dat in data:
                     __lowerCamelCase					:		Dict		   =     F"""{dat:08b}"""
                     result += curr_byte
              return result
       except OSError:
              print("File not accessible"      )
              sys.exit()


def    lowercase_   (   _lowerCamelCase:	str      ) ->      str:



       '''simple docstring'''

       __lowerCamelCase					:		Optional[Any]		   =     {"""0""": """0""", """1""": """1"""}
       __lowerCamelCase					:		str		   =     """""", """"""
       __lowerCamelCase					:		Optional[Any]		   =     len(UpperCAmelCase__      )

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

              __lowerCamelCase					:		Any		   =     lexicon[curr_string]
              result += last_match_id
              __lowerCamelCase					:		Optional[Any]		   =     last_match_id + """0"""

              if math.loga(UpperCAmelCase__      ).is_integer():
                     __lowerCamelCase					:		Union[str, Any]		   =     {}
                     for curr_key in list(UpperCAmelCase__      ):
                            __lowerCamelCase					:		str		   =     lexicon.pop(UpperCAmelCase__      )
                     __lowerCamelCase					:		Optional[int]		   =     new_lex

              __lowerCamelCase					:		Optional[Any]		   =     last_match_id + """1"""
              index += 1
              __lowerCamelCase					:		int		   =     """"""
       return result


def    lowercase_   (   _lowerCamelCase:	str						,   _lowerCamelCase:	str      ) ->      None:



       '''simple docstring'''

       __lowerCamelCase					:		List[str]		   =     8
       try:
              with open(UpperCAmelCase__						,   "wb"      ) as opened_file:
                     __lowerCamelCase					:		List[Any]		   =     [
                         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[:-1]:
                            opened_file.write(int(UpperCAmelCase__						,   2      ).to_bytes(1						,   byteorder="big"      )      )
       except OSError:
              print("File not accessible"      )
              sys.exit()


def    lowercase_   (   _lowerCamelCase:	str      ) ->      str:



       '''simple docstring'''

       __lowerCamelCase					:		Optional[Any]		   =     0
       for letter in data_bits:
              if letter == "1":
                     break
              counter += 1

       __lowerCamelCase					:		Tuple		   =     data_bits[counter:]
       __lowerCamelCase					:		str		   =     data_bits[counter + 1 :]
       return data_bits


def    lowercase_   (   _lowerCamelCase:	str						,   _lowerCamelCase:	str      ) ->      None:



       '''simple docstring'''

       __lowerCamelCase					:		Union[str, Any]		   =     read_file_binary(UpperCAmelCase__      )
       __lowerCamelCase					:		Optional[int]		   =     remove_prefix(UpperCAmelCase__      )
       __lowerCamelCase					:		Tuple		   =     decompress_data(UpperCAmelCase__      )
       write_file_binary(UpperCAmelCase__						,   UpperCAmelCase__      )


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





import argparse

from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging


logging.set_verbosity_info()


def    lowercase_   (   _lowerCamelCase:	Dict						,   _lowerCamelCase:	str						,   _lowerCamelCase:	Dict      ) ->      List[str]:



							'''simple docstring'''

							__lowerCamelCase					:		List[Any]		   =     TaConfig.from_json_file(_lowerCamelCase      )
							print(F"""Building PyTorch model from configuration: {config}"""      )
							__lowerCamelCase					:		Optional[int]		   =     TaForConditionalGeneration(_lowerCamelCase      )

							# Load weights from tf checkpoint
							load_tf_weights_in_ta(_lowerCamelCase						,   _lowerCamelCase						,   _lowerCamelCase      )

							# Save pytorch-model
							print(F"""Save PyTorch model to {pytorch_dump_path}"""      )
							model.save_pretrained(_lowerCamelCase      )


if __name__ == "__main__":
				__A  =				argparse.ArgumentParser()
				# Required parameters
				parser.add_argument(
				    '''--tf_checkpoint_path''', default=None, type=str, required=True, help='''Path to the TensorFlow checkpoint path.'''
				)
				parser.add_argument(
				    '''--config_file''',
				    default=None,
				    type=str,
				    required=True,
				    help=(
				        '''The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture.'''
				    ),
				)
				parser.add_argument(
				    '''--pytorch_dump_path''', default=None, type=str, required=True, help='''Path to the output PyTorch model.'''
				)
				__A  =				parser.parse_args()
				convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)