

"""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


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

__lowerCamelCase										=		"=======\n>>>>>>>\n"

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

__lowerCamelCase										=		[
    # (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      (   __UpperCamelCase						) ->      int:
 return ConvertCommand(args.tfds_path      ,   args.datasets_directory						)
class        _lowercase					(     __lowerCamelCase     ):







     @staticmethod
     def 	lowerCAmelCase__    (      UpperCamelCase_       ):
      __magic_name__     =      parser.add_parser(
          '''convert''' ,						help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.''' ,						)
      train_parser.add_argument(
          '''--tfds_path''' ,						type=a_ ,						required=a_ ,						help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.''' ,						)
      train_parser.add_argument(
          '''--datasets_directory''' ,						type=a_ ,						required=a_ ,						help='''Path to the HuggingFace Datasets folder.'''       )
      train_parser.set_defaults(func=a_       )







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						*UpperCamelCase_       ):
      __magic_name__     =      get_logger('''datasets-cli/converting'''       )

      __magic_name__     =      tfds_path
      __magic_name__     =      datasets_directory







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

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

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

      __magic_name__     =      []
      __magic_name__     =      []
      __magic_name__     =      {}

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

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

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

       with open(a_ ,						encoding='''utf-8'''       ) as f:
        __magic_name__     =      f.readlines()

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

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

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

       if needs_manual_update:
        with_manual_update.append(a_       )

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

      for utils_file in utils_files:
       try:
        __magic_name__     =      os.path.basename(a_       )
        __magic_name__     =      imports_to_builder_map[f_name.replace('''.py''' ,						''''''       )]
        self._logger.info(f'''Moving {dest_folder} to {utils_file}'''       )
        shutil.copy(a_ ,						a_       )
       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 pathlib import Path

import fire





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase      ,   __UpperCamelCase						) ->      Optional[int]:
 __magic_name__     =      Path(__UpperCamelCase						)
 __magic_name__     =      Path(__UpperCamelCase						)
 dest_dir.mkdir(exist_ok=__UpperCamelCase						)
 for path in src_dir.iterdir():
  __magic_name__     =      [x.rstrip() for x in list(path.open().readlines()						)][:n]
  __magic_name__     =      dest_dir.joinpath(path.name						)
  print(__UpperCamelCase						)
  dest_path.open('''w'''						).write('''\n'''.join(__UpperCamelCase						)						)


if __name__ == "__main__":
 fire.Fire(minify)

