




'''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_							:	Tuple	     =		'''<<<<<<< This should probably be modified because it mentions: '''

UpperCAmelCase_							:	Optional[int]	     =		'''=======
>>>>>>>
'''

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

UpperCAmelCase_							:	Optional[int]	     =		[
    # (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			(_lowerCamelCase				:  Namespace						)-> int:




     '''simple docstring'''





     return ConvertCommand(args.tfds_path ,						args.datasets_directory						)







class      lowerCAmelCase (			__lowerCAmelCase):


       @staticmethod
       def    lowerCAmelCase   ( __SCREAMING_SNAKE_CASE	)   ->	Optional[Any]:



            '''simple docstring'''




            __snake_case            =	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	)   ->	Dict:



            '''simple docstring'''




            __snake_case            =	get_logger('''datasets-cli/converting'''	)

            __snake_case            =	tfds_path
            __snake_case            =	datasets_directory




       def    lowerCAmelCase   ( self	)   ->	int:



            '''simple docstring'''




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

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

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

            __snake_case            =	[]
            __snake_case            =	[]
            __snake_case            =	{}

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

            for f_name in file_names:
                 self._logger.info(F'''Looking at file {f_name}'''	)
                 __snake_case            =	os.path.join(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE	)
                 __snake_case            =	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:
                      __snake_case            =	f.readlines()

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

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









'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : int = 1000    ):
  UpperCAmelCase    				=						-1
  UpperCAmelCase    				=						0
  for a in range(1							, n // 3    ):
    # Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
    UpperCAmelCase    				=						(n * n - 2 * a * n) // (2 * n - 2 * a)
    UpperCAmelCase    				=						n - a - b
    if c * c == (a * a + b * b):
      UpperCAmelCase    				=						a * b * c
      if candidate >= product:
        UpperCAmelCase    				=						candidate
  return product


if __name__ == "__main__":
  print(F'''{solution() = }''')


