


"""simple docstring"""



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

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


__snake_case         =					"""<<<<<<< This should probably be modified because it mentions: """

__snake_case         =					"""=======\n>>>>>>>\n"""

__snake_case         =					[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

__snake_case         =					[
    # (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		(		lowercase						:						Optional[Any]				)			->		List[str]:


    """simple docstring"""





    return ConvertCommand(args.tfds_path		,							args.datasets_directory				)







class _lowerCAmelCase       (   snake_case_			):







   @staticmethod
   def 				lowerCamelCase	(			UpperCamelCase__		)			->	Optional[int]:

       '''simple docstring'''




       snake_case					:   List[str]         =					parser.add_parser(
           "convert"		,			help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."		,			)
       train_parser.add_argument(
           "--tfds_path"		,			type=_SCREAMING_SNAKE_CASE		,			required=_SCREAMING_SNAKE_CASE		,			help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."		,			)
       train_parser.add_argument(
           "--datasets_directory"		,			type=_SCREAMING_SNAKE_CASE		,			required=_SCREAMING_SNAKE_CASE		,			help="Path to the HuggingFace Datasets folder."		)
       train_parser.set_defaults(func=_SCREAMING_SNAKE_CASE		)







   def __init__(			self		,			UpperCamelCase__		,			UpperCamelCase__		,			*UpperCamelCase__		)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   List[str]         =					get_logger("datasets-cli/converting"		)

       snake_case					:   Optional[int]         =					tfds_path
       snake_case					:   Union[str, Any]         =					datasets_directory







   def 				lowerCamelCase	(			self		)			->	str:

       '''simple docstring'''




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

       snake_case					:   Tuple         =					os.path.abspath(self._datasets_directory		)

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

       snake_case					:   List[str]         =					[]
       snake_case					:   Optional[Any]         =					[]
       snake_case					:   List[str]         =					{}

       if os.path.isdir(self._tfds_path		):
           snake_case					:   Tuple         =					os.listdir(_SCREAMING_SNAKE_CASE		)
       else:
           snake_case					:   Dict         =					[os.path.basename(self._tfds_path		)]

       for f_name in file_names:
           self._logger.info(F'Looking at file {f_name}'		)
           snake_case					:   Optional[Any]         =					os.path.join(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)
           snake_case					:   Optional[int]         =					os.path.join(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)

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

           with open(_SCREAMING_SNAKE_CASE		,			encoding="utf-8"		) as f:
               snake_case					:   Dict         =					f.readlines()

           snake_case					:   List[Any]         =					[]
           snake_case					:   Tuple         =					False
           snake_case					:   int         =					False
           snake_case					:   Optional[int]         =					[]
           for line in lines:
               snake_case					:   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:
                   snake_case					:   str         =					"import datasets\n"
               elif "import tensorflow" in out_line:
                   # order is important here
                   snake_case					:   Tuple         =					""
                   continue
               elif "from absl import logging" in out_line:
                   snake_case					:   List[str]         =					"from datasets import logging\n"
               elif "getLogger" in out_line:
                   snake_case					:   List[str]         =					out_line.replace("getLogger"		,			"get_logger"		)
               elif any(expression in out_line for expression in TO_HIGHLIGHT		):
                   snake_case					:   Optional[Any]         =					True
                   snake_case					:   Optional[int]         =					list(filter(lambda UpperCamelCase__		: e in out_line		,			_SCREAMING_SNAKE_CASE		)		)
                   out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(_SCREAMING_SNAKE_CASE		) + "\n"		)
                   out_lines.append(_SCREAMING_SNAKE_CASE		)
                   out_lines.append(_SCREAMING_SNAKE_CASE		)
                   continue
               else:
                   for pattern, replacement in TO_CONVERT:
                       snake_case					:   Optional[int]         =					re.sub(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)

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

           if is_builder or "wmt" in f_name:
               # We create a new directory for each dataset
               snake_case					:   Tuple         =					f_name.replace(".py"		,			""		)
               snake_case					:   int         =					os.path.join(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)
               snake_case					:   List[Any]         =					os.path.join(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)
               os.makedirs(_SCREAMING_SNAKE_CASE		,			exist_ok=_SCREAMING_SNAKE_CASE		)
               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(_SCREAMING_SNAKE_CASE		)

           if needs_manual_update:
               with_manual_update.append(_SCREAMING_SNAKE_CASE		)

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

       for utils_file in utils_files:
           try:
               snake_case					:   str         =					os.path.basename(_SCREAMING_SNAKE_CASE		)
               snake_case					:   Union[str, Any]         =					imports_to_builder_map[f_name.replace(".py"		,			""		)]
               self._logger.info(F'Moving {dest_folder} to {utils_file}'		)
               shutil.copy(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE		)
           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\'.'		)









"""simple docstring"""



import baseaa







def 						__lowerCAmelCase		(		lowercase						:						str				)			->		bytes:


    """simple docstring"""





    return baseaa.aaaencode(string.encode("utf-8"				)				)







def 						__lowerCAmelCase		(		lowercase						:						bytes				)			->		str:


    """simple docstring"""





    return baseaa.aaadecode(lowercase				).decode("utf-8"				)


if __name__ == "__main__":
  import doctest

  doctest.testmod()





