





import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


A__:    Any  	=	'''<<<<<<< This should probably be modified because it mentions: '''

A__:    List[Any]  	=	'''=======
>>>>>>>
'''

A__:    int  	=	[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

A__:    Optional[int]  	=	[
    # (pattern, replacement)
    # Order is important here for some replacements
    (R'''tfds\.core''', R'''datasets'''),
    (R'''tf\.io\.gfile\.GFile''', R'''open'''),
    (R'''tf\.([\w\d]+)''', R'''datasets.Value(\'\1\')'''),
    (R'''tfds\.features\.Text\(\)''', R'''datasets.Value(\'string\')'''),
    (R'''tfds\.features\.Text\(''', R'''datasets.Value(\'string\'),'''),
    (R'''features\s*=\s*tfds.features.FeaturesDict\(''', R'''features=datasets.Features('''),
    (R'''tfds\.features\.FeaturesDict\(''', R'''dict('''),
    (R'''The TensorFlow Datasets Authors''', R'''The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'''),
    (R'''tfds\.''', R'''datasets.'''),
    (R'''dl_manager\.manual_dir''', R'''self.config.data_dir'''),
    (R'''self\.builder_config''', R'''self.config'''),
]



def 				lowerCAmelCase_ (							A_):
    return ConvertCommand(args.tfds_path    ,args.datasets_directory)




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      @staticmethod
      def 			UpperCAmelCase_       (		__lowerCamelCase:			ArgumentParser					):
          '''simple docstring'''


          UpperCamelCase__:	Tuple					=     parser.add_parser(
              "convert"	,    help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."	,    )
          train_parser.add_argument(
              "--tfds_path"	,    type=__lowerCamelCase	,    required=__lowerCamelCase	,    help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."	,    )
          train_parser.add_argument(
              "--datasets_directory"	,    type=__lowerCamelCase	,    required=__lowerCamelCase	,    help="Path to the HuggingFace Datasets folder."					)
          train_parser.set_defaults(func=__lowerCamelCase					)






      def __init__(		self:			Dict	,    __lowerCamelCase:			str	,    __lowerCamelCase:			str	,    *__lowerCamelCase:			List[str]					):
          '''simple docstring'''


          UpperCamelCase__:	Any					=     get_logger("datasets-cli/converting"					)

          UpperCamelCase__:	List[Any]					=     tfds_path
          UpperCamelCase__:	List[Any]					=     datasets_directory






      def 			UpperCAmelCase_       (		self:			Union[str, Any]					):
          '''simple docstring'''


          if os.path.isdir(self._tfds_path					):
              UpperCamelCase__:	Dict					=     os.path.abspath(self._tfds_path					)
          elif os.path.isfile(self._tfds_path					):
              UpperCamelCase__:	Optional[Any]					=     os.path.dirname(self._tfds_path					)
          else:
              raise ValueError("--tfds_path is neither a directory nor a file. Please check path."					)

          UpperCamelCase__:	Any					=     os.path.abspath(self._datasets_directory					)

          self._logger.info(F"Converting datasets from {abs_tfds_path} to {abs_datasets_path}"					)

          UpperCamelCase__:	Union[str, Any]					=     []
          UpperCamelCase__:	List[str]					=     []
          UpperCamelCase__:	Dict					=     {}

          if os.path.isdir(self._tfds_path					):
              UpperCamelCase__:	int					=     os.listdir(__lowerCamelCase					)
          else:
              UpperCamelCase__:	Any					=     [os.path.basename(self._tfds_path					)]

          for f_name in file_names:
              self._logger.info(F"Looking at file {f_name}"					)
              UpperCamelCase__:	int					=     os.path.join(__lowerCamelCase	,    __lowerCamelCase					)
              UpperCamelCase__:	Optional[int]					=     os.path.join(__lowerCamelCase	,    __lowerCamelCase					)

              if not os.path.isfile(__lowerCamelCase					) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
                  self._logger.info("Skipping file"					)
                  continue

              with open(__lowerCamelCase	,    encoding="utf-8"					) as f:
                  UpperCamelCase__:	Union[str, Any]					=     f.readlines()

              UpperCamelCase__:	str					=     []
              UpperCamelCase__:	str					=     False
              UpperCamelCase__:	Any					=     False
              UpperCamelCase__:	Optional[Any]					=     []
              for line in lines:
                  UpperCamelCase__:	Union[str, Any]					=     line

                  # Convert imports
                  if "import tensorflow.compat.v2 as tf" in out_line:
                      continue
                  elif "@tfds.core" in out_line:
                      continue
                  elif "builder=self" in out_line:
                      continue
                  elif "import tensorflow_datasets.public_api as tfds" in out_line:
                      UpperCamelCase__:	List[str]					=     "import datasets\n"
                  elif "import tensorflow" in out_line:
                      # order is important here
                      UpperCamelCase__:	int					=     ""
                      continue
                  elif "from absl import logging" in out_line:
                      UpperCamelCase__:	List[Any]					=     "from datasets import logging\n"
                  elif "getLogger" in out_line:
                      UpperCamelCase__:	List[str]					=     out_line.replace("getLogger"	,    "get_logger"					)
                  elif any(expression in out_line for expression in TO_HIGHLIGHT					):
                      UpperCamelCase__:	List[str]					=     True
                      UpperCamelCase__:	int					=     list(filter(lambda __lowerCamelCase					: e in out_line	,    __lowerCamelCase					)					)
                      out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(__lowerCamelCase					) + "\n"					)
                      out_lines.append(__lowerCamelCase					)
                      out_lines.append(__lowerCamelCase					)
                      continue
                  else:
                      for pattern, replacement in TO_CONVERT:
                          UpperCamelCase__:	Optional[Any]					=     re.sub(__lowerCamelCase	,    __lowerCamelCase	,    __lowerCamelCase					)

                # Take care of saving utilities (to later move them together with main script)
                  if "tensorflow_datasets" in out_line:
                      UpperCamelCase__:	Dict					=     re.match(R"from\stensorflow_datasets.*import\s([^\.\r\n]+)"	,    __lowerCamelCase					)
                      tfds_imports.extend(imp.strip() for imp in match.group(1					).split(","					)					)
                      UpperCamelCase__:	Union[str, Any]					=     "from . import " + match.group(1					)

                  # Check we have not forget anything
                  if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
                      raise ValueError(F"Error converting {out_line.strip()}"					)

                  if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
                      UpperCamelCase__:	List[Any]					=     True
                  out_lines.append(__lowerCamelCase					)

              if is_builder or "wmt" in f_name:
                  # We create a new directory for each dataset
                  UpperCamelCase__:	Any					=     f_name.replace(".py"	,    ""					)
                  UpperCamelCase__:	Tuple					=     os.path.join(__lowerCamelCase	,    __lowerCamelCase					)
                  UpperCamelCase__:	Optional[Any]					=     os.path.join(__lowerCamelCase	,    __lowerCamelCase					)
                  os.makedirs(__lowerCamelCase	,    exist_ok=__lowerCamelCase					)
                  self._logger.info(F"Adding directory {output_dir}"					)
                  imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}					)
              else:
                  # Utilities will be moved at the end
                  utils_files.append(__lowerCamelCase					)

              if needs_manual_update:
                  with_manual_update.append(__lowerCamelCase					)

              with open(__lowerCamelCase	,    "w"	,    encoding="utf-8"					) as f:
                  f.writelines(__lowerCamelCase					)
              self._logger.info(F"Converted in {output_file}"					)

          for utils_file in utils_files:
              try:
                  UpperCamelCase__:	List[Any]					=     os.path.basename(__lowerCamelCase					)
                  UpperCamelCase__:	List[str]					=     imports_to_builder_map[f_name.replace(".py"	,    ""					)]
                  self._logger.info(F"Moving {dest_folder} to {utils_file}"					)
                  shutil.copy(__lowerCamelCase	,    __lowerCamelCase					)
              except KeyError:
                  self._logger.error(F"Cannot find destination folder for {utils_file}. Please copy manually."					)

          if with_manual_update:
              for file_path in with_manual_update:
                  self._logger.warning(
                      F"You need to manually update file {file_path} to remove configurations using 'TextEncoderConfig'."					)








def 				lowerCAmelCase_ (							A_):
    if not all(char in "01" for char in bin_string):
        raise ValueError("Non-binary value was passed to the function")
    if not bin_string:
        raise ValueError("Empty string was passed to the function")
    UpperCamelCase__:	List[Any]					=     ""
    while len(A_) % 3 != 0:
        UpperCamelCase__:	int					=     "0" + bin_string
    UpperCamelCase__:	Optional[int]					=     [
        bin_string[index : index + 3]
        for index in range(len(A_))
        if index % 3 == 0
    ]
    for bin_group in bin_string_in_3_list:
        UpperCamelCase__:	Union[str, Any]					=     0
        for index, val in enumerate(A_):
            oct_val += int(2 ** (2 - index) * int(A_))
        oct_string += str(A_)
    return oct_string


if __name__ == "__main__":
   from doctest import testmod

   testmod()

