



'''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


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

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

a__  :	Any								=	[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

a__  :	str								=	[
    # (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 _lowercase      (     __A				):



 '''simple docstring'''



 return ConvertCommand(args.tfds_path							,args.datasets_directory				)






class 				UpperCAmelCase__     (			_UpperCAmelCase):



 @staticmethod
 def       __lowerCamelCase (     lowercase	)     ->							Union[str, Any]:
  __UpperCamelCase 					=     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						,		lowercase						,		lowercase						,		*lowercase	)     ->							Union[str, Any]:
  __UpperCamelCase 					=     get_logger("""datasets-cli/converting"""	)

  __UpperCamelCase 					=     tfds_path
  __UpperCamelCase 					=     datasets_directory




 def       __lowerCamelCase (     self	)     ->							str:
  if os.path.isdir(self._tfds_path	):
   __UpperCamelCase 					=     os.path.abspath(self._tfds_path	)
  elif os.path.isfile(self._tfds_path	):
   __UpperCamelCase 					=     os.path.dirname(self._tfds_path	)
  else:
   raise ValueError("""--tfds_path is neither a directory nor a file. Please check path."""	)

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

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

  __UpperCamelCase 					=     []
  __UpperCamelCase 					=     []
  __UpperCamelCase 					=     {}

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

  for f_name in file_names:
   self._logger.info(f"Looking at file {f_name}"	)
   __UpperCamelCase 					=     os.path.join(SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_	)
   __UpperCamelCase 					=     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:
    __UpperCamelCase 					=     f.readlines()

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

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



A__		:					Any												=  8.3_1_4_4_6_2  # Unit - J mol-1 K-1



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float							)     ->		float:
     if moles < 0 or kelvin < 0 or volume < 0:
          raise ValueError('Invalid inputs. Enter positive value.'							)
     return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float      ,    UpperCAmelCase_    :				float							)     ->		float:
     if moles < 0 or kelvin < 0 or pressure < 0:
          raise ValueError('Invalid inputs. Enter positive value.'							)
     return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


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

      testmod()






