



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_    					=	"=======\n>>>>>>>\n"

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 			_lowerCAmelCase				(       lowercase_						):
						return ConvertCommand(args.tfds_path		,     args.datasets_directory						)







class 				A_      (					_UpperCAmelCase    ):



						"""simple docstring"""






						@staticmethod
						def      UpperCAmelCase__					( lowercase_			:ArgumentParser )    ->      List[Any]:
												UpperCAmelCase					=			parser.add_parser(
												    'convert'       ,  help='Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'       ,  )
												train_parser.add_argument(
												    '--tfds_path'       ,  type=lowercase_       ,  required=lowercase_       ,  help='Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'       ,  )
												train_parser.add_argument(
												    '--datasets_directory'       ,  type=lowercase_       ,  required=lowercase_       ,  help='Path to the HuggingFace Datasets folder.' )
												train_parser.set_defaults(func=lowercase_ )






						def __init__( self			:Tuple       ,  lowercase_			:str       ,  lowercase_			:str       ,  *lowercase_			:Tuple )    ->      List[str]:
												UpperCAmelCase					=			get_logger('datasets-cli/converting' )

												UpperCAmelCase					=			tfds_path
												UpperCAmelCase					=			datasets_directory






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

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

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

												UpperCAmelCase					=			[]
												UpperCAmelCase					=			[]
												UpperCAmelCase					=			{}

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

												for f_name in file_names:
																		self._logger.info(f"""Looking at file {f_name}""" )
																		UpperCAmelCase					=			os.path.join(lowercase_       ,  lowercase_ )
																		UpperCAmelCase					=			os.path.join(lowercase_       ,  lowercase_ )

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

																		with open(lowercase_       ,  encoding='utf-8' ) as f:
																								UpperCAmelCase					=			f.readlines()

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

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

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

																		if needs_manual_update:
																								with_manual_update.append(lowercase_ )

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

												for utils_file in utils_files:
																		try:
																								UpperCAmelCase					=			os.path.basename(lowercase_ )
																								UpperCAmelCase					=			imports_to_builder_map[f_name.replace('.py'       ,  '' )]
																								self._logger.info(f"""Moving {dest_folder} to {utils_file}""" )
																								shutil.copy(lowercase_       ,  lowercase_ )
																		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 			_lowerCAmelCase				(       ):
						for n in range(1		,     1000000						):
												yield n * (n + 1) // 2

def 			_lowerCAmelCase				(       lowercase_						):
						UpperCAmelCase					=			1
						UpperCAmelCase					=			2
						while i * i <= n:
												UpperCAmelCase					=			0
												while n % i == 0:
																		n //= i
																		multiplicity += 1
												divisors_count *= multiplicity + 1
												i += 1
						if n > 1:
												divisors_count *= 2
						return divisors_count

def 			_lowerCAmelCase				(       ):
						return next(i for i in triangle_number_generator() if count_divisors(lowercase_						) > 500						)


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





