




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

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


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

lowercase_						=				'''=======
>>>>>>>
'''

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

lowercase_						=				[
    # (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 					lowerCAmelCase    (      UpperCAmelCase			)    ->str:






					"""simple docstring"""






					return ConvertCommand(args.tfds_path,      args.datasets_directory			)





class 						A__							(  __a					):






	@staticmethod
	def 					lowercase (      lowerCamelCase		) ->  int:




						"""simple docstring"""






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






	def __init__(      self							,	lowerCamelCase							,	lowerCamelCase							,	*lowerCamelCase		) ->  Dict:




						"""simple docstring"""






						__magic_name__   :				int						  =				get_logger('''datasets-cli/converting'''		)

						__magic_name__   :				Dict						  =				tfds_path
						__magic_name__   :				str						  =				datasets_directory






	def 					lowercase (      self		) ->  str:




						"""simple docstring"""






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

						__magic_name__   :				Tuple						  =				os.path.abspath(self._datasets_directory		)

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

						__magic_name__   :				Any						  =				[]
						__magic_name__   :				Dict						  =				[]
						__magic_name__   :				Optional[int]						  =				{}

						if os.path.isdir(self._tfds_path		):
											__magic_name__   :				int						  =				os.listdir(_lowerCamelCase		)
						else:
											__magic_name__   :				Union[str, Any]						  =				[os.path.basename(self._tfds_path		)]

						for f_name in file_names:
											self._logger.info(F'''Looking at file {f_name}'''		)
											__magic_name__   :				Union[str, Any]						  =				os.path.join(_lowerCamelCase							,	_lowerCamelCase		)
											__magic_name__   :				Optional[int]						  =				os.path.join(_lowerCamelCase							,	_lowerCamelCase		)

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

											with open(_lowerCamelCase							,	encoding='''utf-8'''		) as f:
																__magic_name__   :				List[Any]						  =				f.readlines()

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

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

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

											if needs_manual_update:
																with_manual_update.append(_lowerCamelCase		)

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

						for utils_file in utils_files:
											try:
																__magic_name__   :				Dict						  =				os.path.basename(_lowerCamelCase		)
																__magic_name__   :				str						  =				imports_to_builder_map[f_name.replace('''.py'''							,	''''''		)]
																self._logger.info(F'''Moving {dest_folder} to {utils_file}'''		)
																shutil.copy(_lowerCamelCase							,	_lowerCamelCase		)
											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 snake_case_      (					__snake_case  :							int	,   __snake_case  :							int	,   __snake_case  :							int)			->					float:
   lowerCAmelCase_			=      (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
   # formula for sum of series
   return total



def snake_case_      (					)			->					str:
   print(sum_of_series(1	,   1	,   10))


if __name__ == "__main__":
 import doctest

 doctest.testmod()





