



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

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


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

a_								=       """=======
>>>>>>>
"""

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

a_								=       [
    # (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 		a__      (		_UpperCamelCase      :			Namespace				):
   return ConvertCommand(args.tfds_path			,args.datasets_directory				)





class 			__lowerCAmelCase  (						lowerCAmelCase__ ):




 @staticmethod
 def 							lowerCamelCase   (    __UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     parser.add_parser(
        '''convert'''						,					help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''						,					)
    train_parser.add_argument(
        '''--tfds_path'''						,					type=__UpperCAmelCase						,					required=__UpperCAmelCase						,					help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''						,					)
    train_parser.add_argument(
        '''--datasets_directory'''						,					type=__UpperCAmelCase						,					required=__UpperCAmelCase						,					help='''Path to the HuggingFace Datasets folder.'''					)
    train_parser.set_defaults(func=__UpperCAmelCase					)




 def __init__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					*__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     get_logger('''datasets-cli/converting'''					)

    __lowerCamelCase    				=     tfds_path
    __lowerCamelCase    				=     datasets_directory




 def 							lowerCamelCase   (    self					):



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

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

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

    __lowerCamelCase    				=     []
    __lowerCamelCase    				=     []
    __lowerCamelCase    				=     {}

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

    for f_name in file_names:
       self._logger.info(F"""Looking at file {f_name}"""					)
       __lowerCamelCase    				=     os.path.join(__UpperCAmelCase						,					__UpperCAmelCase					)
       __lowerCamelCase    				=     os.path.join(__UpperCAmelCase						,					__UpperCAmelCase					)

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

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

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

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

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

       if needs_manual_update:
          with_manual_update.append(__UpperCAmelCase					)

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

    for utils_file in utils_files:
       try:
          __lowerCamelCase    				=     os.path.basename(__UpperCAmelCase					)
          __lowerCamelCase    				=     imports_to_builder_map[f_name.replace('''.py'''						,					''''''					)]
          self._logger.info(F"""Moving {dest_folder} to {utils_file}"""					)
          shutil.copy(__UpperCAmelCase						,					__UpperCAmelCase					)
       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 math





def 		a__      (		_UpperCamelCase      :			float			,_UpperCamelCase      :			float				):
   if (
       not isinstance(_UpperCamelCase			,(int, float)				)
       or power_factor < -1
       or power_factor > 1
   ):
      raise ValueError('''power_factor must be a valid float value between -1 and 1.'''				)
   return apparent_power * power_factor





def 		a__      (		_UpperCamelCase      :			float			,_UpperCamelCase      :			float				):
   if (
       not isinstance(_UpperCamelCase			,(int, float)				)
       or power_factor < -1
       or power_factor > 1
   ):
      raise ValueError('''power_factor must be a valid float value between -1 and 1.'''				)
   return apparent_power * math.sqrt(1 - power_factor**2				)


if __name__ == "__main__":
  import doctest

  doctest.testmod()






