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

SCREAMING_SNAKE_CASE							:List[str]							 =				'=======\n>>>>>>>\n'

SCREAMING_SNAKE_CASE							:List[str]							 =				[
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

SCREAMING_SNAKE_CASE							: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			(	a_						)		->	List[str]:







				"""simple docstring"""



				return ConvertCommand(args.tfds_path		,   args.datasets_directory						)





class 							UpperCAmelCase      (  __a  ):




	'''simple docstring'''





	@staticmethod
	def 				UpperCamelCase_  (       A					: ArgumentParser ):
					__A   			= parser.add_parser(
					    "convert"							,help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."							,)
					train_parser.add_argument(
					    "--tfds_path"							,type=_A							,required=_A							,help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."							,)
					train_parser.add_argument(
					    "--datasets_directory"							,type=_A							,required=_A							,help="Path to the HuggingFace Datasets folder." )
					train_parser.set_defaults(func=_A )






	def __init__(       self					: Optional[Any]							,A					: str							,A					: str							,*A					: List[str] ):
					__A   			= get_logger("datasets-cli/converting" )

					__A   			= tfds_path
					__A   			= datasets_directory







	def 				UpperCamelCase_  (       self					: Optional[Any] ):


					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(_A )
					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(_A							,_A )
									__A   			= os.path.join(_A							,_A )

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

									with open(_A							,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 A : e in out_line							,_A ) )
																	out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(_A ) + "\n" )
																	out_lines.append(_A )
																	out_lines.append(_A )
																	continue
													else:
																	for pattern, replacement in TO_CONVERT:
																					__A   			= re.sub(_A							,_A							,_A )

                # 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]+)"							,_A )
																	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(_A )

									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(_A							,_A )
													__A   			= os.path.join(_A							,_A )
													os.makedirs(_A							,exist_ok=_A )
													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(_A )

									if needs_manual_update:
													with_manual_update.append(_A )

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

					for utils_file in utils_files:
									try:
													__A   			= os.path.basename(_A )
													__A   			= imports_to_builder_map[f_name.replace(".py"							,"" )]
													self._logger.info(f'''Moving {dest_folder} to {utils_file}''' )
													shutil.copy(_A							,_A )
									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 					a__       (					lowerCAmelCase__						)    ->	int:
    UpperCAmelCase__			:		Tuple													=				0
    while num > 0:
        digit_sum += num % 10
        num //= 10
    return digit_sum





def 					a__       (					lowerCAmelCase__ = 1_00						)    ->	int:
    UpperCAmelCase__			:		Dict													=				1
    UpperCAmelCase__			:		str													=				2

    for i in range(2  ,					max_n + 1						):
        UpperCAmelCase__			:		Tuple													=				pre_numerator
        UpperCAmelCase__			:		Tuple													=				2 * i // 3 if i % 3 == 0 else 1
        UpperCAmelCase__			:		str													=				cur_numerator
        UpperCAmelCase__			:		List[str]													=				e_cont * pre_numerator + temp

    return sum_digits(lowerCAmelCase__						)


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