






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

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


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

a_							=    '''=======
>>>>>>>
'''

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

a_							=    [
    # (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        _a  (     UpperCamelCase_					:				Optional[int]   ) ->   Optional[int]:
						"""simple docstring"""







						return ConvertCommand(args.tfds_path    ,   args.datasets_directory   )





class      lowercase__     (			__UpperCAmelCase	):

	@staticmethod
	def 		UpperCAmelCase  (							__UpperCAmelCase       )->					Tuple:







							'''simple docstring'''





							lowerCAmelCase__       =						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		,    __UpperCAmelCase		,    __UpperCAmelCase		,    *__UpperCAmelCase       )->					Union[str, Any]:







							'''simple docstring'''





							lowerCAmelCase__       =						get_logger("datasets-cli/converting"       )

							lowerCAmelCase__       =						tfds_path
							lowerCAmelCase__       =						datasets_directory


	def 		UpperCAmelCase  (							self       )->					List[str]:







							'''simple docstring'''





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

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

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

							lowerCAmelCase__       =						[]
							lowerCAmelCase__       =						[]
							lowerCAmelCase__       =						{}

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

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

													lowerCAmelCase__       =						[]
													lowerCAmelCase__       =						False
													lowerCAmelCase__       =						False
													lowerCAmelCase__       =						[]
													for line in lines:
																			lowerCAmelCase__       =						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:
																									lowerCAmelCase__       =						"import datasets\n"
																			elif "import tensorflow" in out_line:
																									# order is important here
																									lowerCAmelCase__       =						""
																									continue
																			elif "from absl import logging" in out_line:
																									lowerCAmelCase__       =						"from datasets import logging\n"
																			elif "getLogger" in out_line:
																									lowerCAmelCase__       =						out_line.replace("getLogger"		,    "get_logger"       )
																			elif any(expression in out_line for expression in TO_HIGHLIGHT       ):
																									lowerCAmelCase__       =						True
																									lowerCAmelCase__       =						list(filter(lambda __UpperCAmelCase       : 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:
																															lowerCAmelCase__       =						re.sub(UpperCAmelCase_		,    UpperCAmelCase_		,    UpperCAmelCase_       )

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

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














from __future__ import annotations

from collections.abc import Generator


def        _a  (     ) ->   Generator[int, None, None]:
						"""simple docstring"""







						lowerCAmelCase__       =						{}
						lowerCAmelCase__       =						2
						while True:
												lowerCAmelCase__       =						factor_map.pop(UpperCamelCase_    ,   UpperCamelCase_   )
												if factor:
																		lowerCAmelCase__       =						factor + prime
																		while x in factor_map:
																								x += factor
																		lowerCAmelCase__       =						factor
												else:
																		lowerCAmelCase__       =						prime
																		yield prime
												prime += 1


def        _a  (     UpperCamelCase_					:				float = 1e1_0   ) ->   int:
						"""simple docstring"""







						lowerCAmelCase__       =						sieve()

						lowerCAmelCase__       =						1
						while True:
												lowerCAmelCase__       =						next(UpperCamelCase_   )
												if (2 * prime * n) > limit:
																		return n
												# Ignore the next prime as the reminder will be 2.
												next(UpperCamelCase_   )
												n += 2


if __name__ == "__main__":
	print(solution())






