






"""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


__A		:       Optional[int]  				=		'''<<<<<<< This should probably be modified because it mentions: '''

__A		:       List[str]  				=		'''=======
>>>>>>>
'''

__A		:       Optional[Any]  				=		[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

__A		:       List[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 						lowercase    (				__snake_case				: Union[str, Any]	):
		return ConvertCommand(args.tfds_path		,					args.datasets_directory	)






class 					_UpperCAmelCase       ( _lowercase							):




					@staticmethod
					def   A  (				A     :						ArgumentParser   )  ->  Tuple:
							lowercase_ : Any							       =   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    ,						A     :						str    ,						A     :						str    ,						*A     :						Any   )  ->  Any:
							lowercase_ : List[str]							       =   get_logger('''datasets-cli/converting'''   )

							lowercase_ : Union[str, Any]							       =   tfds_path
							lowercase_ : Union[str, Any]							       =   datasets_directory






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

							lowercase_ : Optional[Any]							       =   os.path.abspath(self._datasets_directory   )

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

							lowercase_ : Optional[Any]							       =   []
							lowercase_ : str							       =   []
							lowercase_ : str							       =   {}

							if os.path.isdir(self._tfds_path   ):
									lowercase_ : int							       =   os.listdir(UpperCamelCase__   )
							else:
									lowercase_ : Dict							       =   [os.path.basename(self._tfds_path   )]

							for f_name in file_names:
									self._logger.info(F'''Looking at file {f_name}'''   )
									lowercase_ : Union[str, Any]							       =   os.path.join(UpperCamelCase__    ,						UpperCamelCase__   )
									lowercase_ : Tuple							       =   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:
											lowercase_ : Dict							       =   f.readlines()

									lowercase_ : Union[str, Any]							       =   []
									lowercase_ : List[str]							       =   False
									lowercase_ : List[Any]							       =   False
									lowercase_ : Optional[Any]							       =   []
									for line in lines:
											lowercase_ : Union[str, Any]							       =   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:
													lowercase_ : str							       =   """import datasets\n"""
											elif "import tensorflow" in out_line:
													# order is important here
													lowercase_ : Optional[int]							       =   """"""
													continue
											elif "from absl import logging" in out_line:
													lowercase_ : Union[str, Any]							       =   """from datasets import logging\n"""
											elif "getLogger" in out_line:
													lowercase_ : List[Any]							       =   out_line.replace('''getLogger'''    ,						'''get_logger'''   )
											elif any(expression in out_line for expression in TO_HIGHLIGHT   ):
													lowercase_ : str							       =   True
													lowercase_ : Optional[int]							       =   list(filter(lambda A   : 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:
															lowercase_ : Dict							       =   re.sub(UpperCamelCase__    ,						UpperCamelCase__    ,						UpperCamelCase__   )

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

									if is_builder or "wmt" in f_name:
											# We create a new directory for each dataset
											lowercase_ : Any							       =   f_name.replace('''.py'''    ,						''''''   )
											lowercase_ : Optional[Any]							       =   os.path.join(UpperCamelCase__    ,						UpperCamelCase__   )
											lowercase_ : Union[str, Any]							       =   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:
											lowercase_ : int							       =   os.path.basename(UpperCamelCase__   )
											lowercase_ : Optional[int]							       =   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'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


_A	:			Dict         ={'''tokenization_herbert''': ['''HerbertTokenizer''']}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A	:			Optional[int]         =['''HerbertTokenizerFast''']


if TYPE_CHECKING:
			from .tokenization_herbert import HerbertTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_herbert_fast import HerbertTokenizerFast

else:
			import sys

			_A	:			Optional[int]         =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

