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

_SCREAMING_SNAKE_CASE													=   '''=======
>>>>>>>
'''

_SCREAMING_SNAKE_CASE													=   [
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

_SCREAMING_SNAKE_CASE													=   [
    # (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 (       SCREAMING_SNAKE_CASE			)	->  List[Any]:







							"""simple docstring"""


							return ConvertCommand(args.tfds_path				,     args.datasets_directory			)







class 				__magic_name__  (		__snake_case ):





					@staticmethod
					def 				lowerCAmelCase   (					snake_case_ :				ArgumentParser     ):
												__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 :				List[str]				,    snake_case_ :				str				,    snake_case_ :				str				,    *snake_case_ :				List[Any]     ):
												__snake_case        =							get_logger("datasets-cli/converting"     )

												__snake_case        =							tfds_path
												__snake_case        =							datasets_directory





					def 				lowerCAmelCase   (					self :				Dict     ):




												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 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\'.'''     )








__magic_name__   :  Optional[Any]        =							0  # The first color of the flag.
__magic_name__   :  List[str]        =							1  # The second color of the flag.
__magic_name__   :  Dict        =							2  # The third color of the flag.
__magic_name__   :  Union[str, Any]        =							(red, white, blue)
def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if not sequence:
            return []
      if len(_UpperCamelCase) == 1:
            return list(_UpperCamelCase)
      UpperCamelCase					       =  0
      UpperCamelCase					       =  len(_UpperCamelCase) - 1
      UpperCamelCase					       =  0
      while mid <= high:
            if sequence[mid] == colors[0]:
                  UpperCamelCase       ,  UpperCamelCase					       =  sequence[mid], sequence[low]
                  low += 1
                  mid += 1
            elif sequence[mid] == colors[1]:
                  mid += 1
            elif sequence[mid] == colors[2]:
                  UpperCamelCase       ,  UpperCamelCase					       =  sequence[high], sequence[mid]
                  high -= 1
            else:
                  UpperCamelCase					       =  F'The elements inside the sequence must contains only {colors} values'
                  raise ValueError(_UpperCamelCase)
      return sequence


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       __magic_name__   :  str        =							input('''Enter numbers separated by commas:\n''').strip()
       __magic_name__   :  Union[str, Any]        =							[int(item.strip()) for item in user_input.split(''',''')]
       print(F'{dutch_national_flag_sort(unsorted)}')



