

"""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


SCREAMING_SNAKE_CASE_					:	List[str]							  =						'<<<<<<< This should probably be modified because it mentions: '

SCREAMING_SNAKE_CASE_					:	Tuple							  =						'=======\n>>>>>>>\n'

SCREAMING_SNAKE_CASE_					:	Tuple							  =						[
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

SCREAMING_SNAKE_CASE_					:	Any							  =						[
    # (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  _snake_case     (    UpperCAmelCase_  :					Namespace			):
     return ConvertCommand(args.tfds_path					,   args.datasets_directory			)



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    @staticmethod
    def 				UpperCamelCase	(     UpperCamelCase: ArgumentParser       ):






         """simple docstring"""


         A__										=  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: Any    ,						UpperCamelCase: str    ,						UpperCamelCase: str    ,						*UpperCamelCase: Any       ):






         """simple docstring"""


         A__										=  get_logger("""datasets-cli/converting"""       )

         A__										=  tfds_path
         A__										=  datasets_directory





    def 				UpperCamelCase	(     self: List[Any]       ):






         """simple docstring"""


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

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

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

         A__										=  []
         A__										=  []
         A__										=  {}

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

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

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

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

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









"""simple docstring"""



import math
import sys





def  _snake_case     (    UpperCAmelCase_  :					int			):
     if number != int(UpperCAmelCase_			):
          raise ValueError("""the value of input must be a natural number"""			)
     if number < 0:
          raise ValueError("""the value of input must not be a negative number"""			)
     if number == 0:
          return 1
     A__										=  [-1] * (number + 1)
     A__										=  0
     for i in range(1					,   number + 1			):
          A__										=  sys.maxsize
          A__										=  int(math.sqrt(UpperCAmelCase_			)			)
          for j in range(1					,   root + 1			):
               A__										=  1 + answers[i - (j**2)]
               A__										=  min(UpperCAmelCase_					,   UpperCAmelCase_			)
          A__										=  answer
     return answers[number]


if __name__ == "__main__":
 import doctest

 doctest.testmod()






