

'''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


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

UpperCAmelCase					 =	'''=======
>>>>>>>
'''

UpperCAmelCase					 =	[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

UpperCAmelCase					 =	[
    # (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 					__UpperCamelCase				(						lowercase__    :	Namespace			):






     '''simple docstring'''





     return ConvertCommand(args.tfds_path,       args.datasets_directory			)







class 	lowerCAmelCase  (   _lowerCAmelCase ):







       @staticmethod
       def       snake_case (				__lowercase      :			Optional[Any]   ):







            """simple docstring"""







            __lowercase      		=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      :			Any    ,   __lowercase      :			Union[str, Any]    ,   __lowercase      :			Dict    ,   *__lowercase      :			Dict   ):







            """simple docstring"""







            __lowercase      		=get_logger('datasets-cli/converting'   )

            __lowercase      		=tfds_path
            __lowercase      		=datasets_directory







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







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

            __lowercase      		=os.path.abspath(self._datasets_directory   )

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

            __lowercase      		=[]
            __lowercase      		=[]
            __lowercase      		={}

            if os.path.isdir(self._tfds_path   ):
                 __lowercase      		=os.listdir(SCREAMING_SNAKE_CASE__   )
            else:
                 __lowercase      		=[os.path.basename(self._tfds_path   )]

            for f_name in file_names:
                 self._logger.info(f'''Looking at file {f_name}'''   )
                 __lowercase      		=os.path.join(SCREAMING_SNAKE_CASE__    ,   SCREAMING_SNAKE_CASE__   )
                 __lowercase      		=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:
                      __lowercase      		=f.readlines()

                 __lowercase      		=[]
                 __lowercase      		=False
                 __lowercase      		=False
                 __lowercase      		=[]
                 for line in lines:
                      __lowercase      		=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:
                           __lowercase      		='import datasets\n'
                      elif "import tensorflow" in out_line:
                           # order is important here
                           __lowercase      		=''
                           continue
                      elif "from absl import logging" in out_line:
                           __lowercase      		='from datasets import logging\n'
                      elif "getLogger" in out_line:
                           __lowercase      		=out_line.replace('getLogger'    ,   'get_logger'   )
                      elif any(expression in out_line for expression in TO_HIGHLIGHT   ):
                           __lowercase      		=True
                           __lowercase      		=list(filter(lambda __lowercase   : 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:
                                __lowercase      		=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:
                           __lowercase      		=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(','   )   )
                           __lowercase      		='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:
                           __lowercase      		=True
                      out_lines.append(SCREAMING_SNAKE_CASE__   )

                 if is_builder or "wmt" in f_name:
                      # We create a new directory for each dataset
                      __lowercase      		=f_name.replace('.py'    ,   ''   )
                      __lowercase      		=os.path.join(SCREAMING_SNAKE_CASE__    ,   SCREAMING_SNAKE_CASE__   )
                      __lowercase      		=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:
                      __lowercase      		=os.path.basename(SCREAMING_SNAKE_CASE__   )
                      __lowercase      		=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"""







def       _lowerCamelCase				(							UpperCAmelCase_ :       int     )	-> int:






	"""simple docstring"""





	if not isinstance(UpperCAmelCase_,	UpperCAmelCase_     ):
		raise ValueError("Input must be an integer"     )
	if input_num <= 0:
		raise ValueError("Input must be positive"     )
	return sum(
	    divisor for divisor in range(1,	input_num // 2 + 1     ) if input_num % divisor == 0     )


if __name__ == "__main__":
			import doctest

			doctest.testmod()




