



"""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      __magic_name__				(							lowercase ):
   return ConvertCommand(args.tfds_path							,			args.datasets_directory )
class 					a	(  UpperCAmelCase__       ):



  @staticmethod
  def 	lowerCamelCase__       (						lowerCAmelCase :					ArgumentParser		)     ->					Union[str, Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Any     			=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 :					Tuple       ,		lowerCAmelCase :					str       ,		lowerCAmelCase :					str       ,		*lowerCAmelCase :					int		)     ->					Optional[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Tuple     			=get_logger("""datasets-cli/converting"""		)

     SCREAMING_SNAKE_CASE_: int     			=tfds_path
     SCREAMING_SNAKE_CASE_: Tuple     			=datasets_directory





  def 	lowerCamelCase__       (						self :					Optional[int]		)     ->					str:


     '''simple docstring'''




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

     SCREAMING_SNAKE_CASE_: str     			=os.path.abspath(self._datasets_directory		)

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

     SCREAMING_SNAKE_CASE_: Dict     			=[]
     SCREAMING_SNAKE_CASE_: Any     			=[]
     SCREAMING_SNAKE_CASE_: Tuple     			={}

     if os.path.isdir(self._tfds_path		):
        SCREAMING_SNAKE_CASE_: Optional[int]     			=os.listdir(lowerCAmelCase		)
     else:
        SCREAMING_SNAKE_CASE_: str     			=[os.path.basename(self._tfds_path		)]

     for f_name in file_names:
        self._logger.info(f'''Looking at file {f_name}'''		)
        SCREAMING_SNAKE_CASE_: Any     			=os.path.join(lowerCAmelCase       ,		lowerCAmelCase		)
        SCREAMING_SNAKE_CASE_: Dict     			=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:
           SCREAMING_SNAKE_CASE_: List[str]     			=f.readlines()

        SCREAMING_SNAKE_CASE_: Optional[int]     			=[]
        SCREAMING_SNAKE_CASE_: str     			=False
        SCREAMING_SNAKE_CASE_: List[Any]     			=False
        SCREAMING_SNAKE_CASE_: Dict     			=[]
        for line in lines:
           SCREAMING_SNAKE_CASE_: List[str]     			=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:
              SCREAMING_SNAKE_CASE_: Dict     			="""import datasets\n"""
           elif "import tensorflow" in out_line:
              # order is important here
              SCREAMING_SNAKE_CASE_: int     			=""""""
              continue
           elif "from absl import logging" in out_line:
              SCREAMING_SNAKE_CASE_: int     			="""from datasets import logging\n"""
           elif "getLogger" in out_line:
              SCREAMING_SNAKE_CASE_: int     			=out_line.replace("""getLogger"""       ,		"""get_logger"""		)
           elif any(expression in out_line for expression in TO_HIGHLIGHT		):
              SCREAMING_SNAKE_CASE_: Dict     			=True
              SCREAMING_SNAKE_CASE_: Optional[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:
                 SCREAMING_SNAKE_CASE_: 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:
              SCREAMING_SNAKE_CASE_: Any     			=re.match(R"""from\stensorflow_datasets.*import\s([^\.\r\n]+)"""       ,		lowerCAmelCase		)
              tfds_imports.extend(imp.strip() for imp in match.group(1		).split(""","""		)		)
              SCREAMING_SNAKE_CASE_: 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:
              SCREAMING_SNAKE_CASE_: Optional[int]     			=True
           out_lines.append(lowerCAmelCase		)

        if is_builder or "wmt" in f_name:
           # We create a new directory for each dataset
           SCREAMING_SNAKE_CASE_: Any     			=f_name.replace(""".py"""       ,		""""""		)
           SCREAMING_SNAKE_CASE_: str     			=os.path.join(lowerCAmelCase       ,		lowerCAmelCase		)
           SCREAMING_SNAKE_CASE_: int     			=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:
           SCREAMING_SNAKE_CASE_: Optional[int]     			=os.path.basename(lowerCAmelCase		)
           SCREAMING_SNAKE_CASE_: 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\'.'''		)








"""simple docstring"""
from math import pi





def      __magic_name__				(							lowercase							,			lowercase ):
   return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
   print(arc_length(9_0, 1_0))



