



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      (  snake_case__			:       Namespace      )      ->	List[Any]:
   return ConvertCommand(args.tfds_path			,	args.datasets_directory      )



class 							lowerCAmelCase_						(    a__				):
       @staticmethod
       def    snake_case_			(     SCREAMING_SNAKE_CASE_			)	->						Any:
          UpperCamelCase       :    int		      =      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,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     *SCREAMING_SNAKE_CASE_			)	->						Any:
          UpperCamelCase       :    Dict		      =      get_logger('datasets-cli/converting'			)

          UpperCamelCase       :    Optional[Any]		      =      tfds_path
          UpperCamelCase       :    Union[str, Any]		      =      datasets_directory






       def    snake_case_			(     self			)	->						int:
          if os.path.isdir(self._tfds_path			):
             UpperCamelCase       :    List[str]		      =      os.path.abspath(self._tfds_path			)
          elif os.path.isfile(self._tfds_path			):
             UpperCamelCase       :    Optional[int]		      =      os.path.dirname(self._tfds_path			)
          else:
             raise ValueError('--tfds_path is neither a directory nor a file. Please check path.'			)

          UpperCamelCase       :    Optional[Any]		      =      os.path.abspath(self._datasets_directory			)

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

          UpperCamelCase       :    str		      =      []
          UpperCamelCase       :    Any		      =      []
          UpperCamelCase       :    int		      =      {}

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

          for f_name in file_names:
             self._logger.info(F"""Looking at file {f_name}"""			)
             UpperCamelCase       :    Optional[int]		      =      os.path.join(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			)
             UpperCamelCase       :    List[Any]		      =      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       :    Any		      =      f.readlines()

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

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









import numpy as np


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	return (2 / (1 + np.exp(-2 * vector				))) - 1


if __name__ == "__main__":
		import doctest

		doctest.testmod()
