


'''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


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

__snake_case          =  '''=======
>>>>>>>
'''

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

__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     a   (    __a     )						->			Any:



					'''simple docstring'''






					return ConvertCommand(args.tfds_path				,      args.datasets_directory     )







class      lowercase			(							A__      ):

		"""simple docstring"""

		@staticmethod
		def 					lowerCAmelCase__       (	UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Tuple							      =				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_							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				get_logger('''datasets-cli/converting'''							)

							UpperCamelCase__     :Optional[Any]							      =				tfds_path
							UpperCamelCase__     :List[Any]							      =				datasets_directory




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							if os.path.isdir(self._tfds_path							):
												UpperCamelCase__     :Union[str, Any]							      =				os.path.abspath(self._tfds_path							)
							elif os.path.isfile(self._tfds_path							):
												UpperCamelCase__     :Dict							      =				os.path.dirname(self._tfds_path							)
							else:
												raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.'''							)

							UpperCamelCase__     :Union[str, Any]							      =				os.path.abspath(self._datasets_directory							)

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

							UpperCamelCase__     :int							      =				[]
							UpperCamelCase__     :Union[str, Any]							      =				[]
							UpperCamelCase__     :str							      =				{}

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

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

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

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

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

__snake_case							   =  (
    '''73167176531330624919225119674426574742355349194934'''
    '''96983520312774506326239578318016984801869478851843'''
    '''85861560789112949495459501737958331952853208805511'''
    '''12540698747158523863050715693290963295227443043557'''
    '''66896648950445244523161731856403098711121722383113'''
    '''62229893423380308135336276614282806444486645238749'''
    '''30358907296290491560440772390713810515859307960866'''
    '''70172427121883998797908792274921901699720888093776'''
    '''65727333001053367881220235421809751254540594752243'''
    '''52584907711670556013604839586446706324415722155397'''
    '''53697817977846174064955149290862569321978468622482'''
    '''83972241375657056057490261407972968652414535100474'''
    '''82166370484403199890008895243450658541227588666881'''
    '''16427171479924442928230863465674813919123162824586'''
    '''17866458359124566529476545682848912883142607690042'''
    '''24219022671055626321111109370544217506941658960408'''
    '''07198403850962455444362981230987879927244284909188'''
    '''84580156166097919133875499200524063689912560717606'''
    '''05886116467109405077541002256983155200055935729725'''
    '''71636269561882670428252483600823257530420752963450'''
)


def     a   (    __a     )						->			int:



					'''simple docstring'''






					UpperCamelCase__     :Tuple							      =				1
					for digit in s:
										product *= int(__a     )
					return product


def     a   (    __a = N     )						->			int:



					'''simple docstring'''






					UpperCamelCase__     :Tuple							      =				-sys.maxsize - 1
					UpperCamelCase__     :Dict							      =				n[:13]
					UpperCamelCase__     :Dict							      =				13
					while cur_index < len(__a     ) - 13:
										if int(n[cur_index]     ) >= int(substr[0]     ):
															UpperCamelCase__     :Dict							      =				substr[1:] + n[cur_index]
															cur_index += 1
										else:
															UpperCamelCase__     :List[str]							      =				max(__a				,      str_eval(__a     )     )
															UpperCamelCase__     :Union[str, Any]							      =				n[cur_index : cur_index + 13]
															cur_index += 13
					return largest_product


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