


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

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


UpperCAmelCase_				:			Optional[Any]   =	"""<<<<<<< This should probably be modified because it mentions: """

UpperCAmelCase_				:			Optional[Any]   =	"""=======
>>>>>>>
"""

UpperCAmelCase_				:			Tuple   =	[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

UpperCAmelCase_				:			Any   =	[
    # (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 	SCREAMING_SNAKE_CASE_						(      __A			:      Namespace    )     ->		Dict:

       """simple docstring"""

       return ConvertCommand(args.tfds_path  ,   args.datasets_directory    )
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      @staticmethod
      def 	SCREAMING_SNAKE_CASE							(	SCREAMING_SNAKE_CASE__    :	Tuple					)		->      Any:
             a_ :		Optional[int]							=  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    :	Any					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]					,							*SCREAMING_SNAKE_CASE__    :	str					)		->      List[str]:
             a_ :		List[str]							=  get_logger('datasets-cli/converting'					)

             a_ :		Tuple							=  tfds_path
             a_ :		Union[str, Any]							=  datasets_directory

      def 	SCREAMING_SNAKE_CASE							(	self    :	str					)		->      Optional[Any]:



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

             a_ :		List[str]							=  os.path.abspath(self._datasets_directory					)

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

             a_ :		Dict							=  []
             a_ :		Union[str, Any]							=  []
             a_ :		int							=  {}

             if os.path.isdir(self._tfds_path					):
                    a_ :		Dict							=  os.listdir(__lowerCAmelCase					)
             else:
                    a_ :		Optional[Any]							=  [os.path.basename(self._tfds_path					)]

             for f_name in file_names:
                    self._logger.info(F"""Looking at file {f_name}"""					)
                    a_ :		Union[str, Any]							=  os.path.join(__lowerCAmelCase					,							__lowerCAmelCase					)
                    a_ :		str							=  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:
                           a_ :		int							=  f.readlines()

                    a_ :		List[Any]							=  []
                    a_ :		List[str]							=  False
                    a_ :		Optional[int]							=  False
                    a_ :		Any							=  []
                    for line in lines:
                           a_ :		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:
                                  a_ :		Tuple							=  'import datasets\n'
                           elif "import tensorflow" in out_line:
                                  # order is important here
                                  a_ :		List[str]							=  ''
                                  continue
                           elif "from absl import logging" in out_line:
                                  a_ :		str							=  'from datasets import logging\n'
                           elif "getLogger" in out_line:
                                  a_ :		Union[str, Any]							=  out_line.replace('getLogger'					,							'get_logger'					)
                           elif any(expression in out_line for expression in TO_HIGHLIGHT					):
                                  a_ :		Optional[int]							=  True
                                  a_ :		Optional[int]							=  list(filter(lambda SCREAMING_SNAKE_CASE__					: 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:
                                         a_ :		Dict							=  re.sub(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase					)

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

                    if is_builder or "wmt" in f_name:
                           # We create a new directory for each dataset
                           a_ :		Optional[Any]							=  f_name.replace('.py'					,							''					)
                           a_ :		int							=  os.path.join(__lowerCAmelCase					,							__lowerCAmelCase					)
                           a_ :		Dict							=  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:
                           a_ :		List[str]							=  os.path.basename(__lowerCAmelCase					)
                           a_ :		Union[str, Any]							=  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 	SCREAMING_SNAKE_CASE_						(      __A			:      int  ,   __A			:      int    )     ->		int:

       """simple docstring"""

       while b:
              a_							,		a_ :		int							=  b, a % b
       return a







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int  ,   __A			:      int    )     ->		int:

       """simple docstring"""

       return a if b == 0 else euclidean_gcd_recursive(__A  ,   a % b    )







def 	SCREAMING_SNAKE_CASE_						(      )     ->		str:

       """simple docstring"""

       print(F"""euclidean_gcd(3, 5) = {euclidean_gcd(3  ,   5    )}"""    )
       print(F"""euclidean_gcd(5, 3) = {euclidean_gcd(5  ,   3    )}"""    )
       print(F"""euclidean_gcd(1, 3) = {euclidean_gcd(1  ,   3    )}"""    )
       print(F"""euclidean_gcd(3, 6) = {euclidean_gcd(3  ,   6    )}"""    )
       print(F"""euclidean_gcd(6, 3) = {euclidean_gcd(6  ,   3    )}"""    )

       print(F"""euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3  ,   5    )}"""    )
       print(F"""euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5  ,   3    )}"""    )
       print(F"""euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1  ,   3    )}"""    )
       print(F"""euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3  ,   6    )}"""    )
       print(F"""euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6  ,   3    )}"""    )


if __name__ == "__main__":
   main()


