






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

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


__lowerCamelCase :      Union[str, Any]										=				"<<<<<<< This should probably be modified because it mentions: "

__lowerCamelCase :      Optional[int]										=				"=======\n>>>>>>>\n"

__lowerCamelCase :      Optional[Any]										=				[
    "TextEncoderConfig",
    "ByteTextEncoder",
    "SubwordTextEncoder",
    "encoder_config",
    "maybe_build_from_corpus",
    "manual_dir",
]

__lowerCamelCase :      Dict										=				[
    # (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 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Namespace       ):
	return ConvertCommand(args.tfds_path					,  args.datasets_directory       )





class 							SCREAMING_SNAKE_CASE__						(    lowercase_						):



					@staticmethod
					def 	_lowercase					( __A					:  Tuple	):
						snake_case__			:				Dict       =  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					:  Union[str, Any]							,		__A					:  int							,		__A					:  Optional[int]							,		*__A					:  str	):
						snake_case__			:				Optional[int]       =  get_logger("datasets-cli/converting"	)

						snake_case__			:				Dict       =  tfds_path
						snake_case__			:				str       =  datasets_directory






					def 	_lowercase					( self					:  Union[str, Any]	):




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

						snake_case__			:				str       =  os.path.abspath(self._datasets_directory	)

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

						snake_case__			:				List[str]       =  []
						snake_case__			:				Optional[int]       =  []
						snake_case__			:				Optional[int]       =  {}

						if os.path.isdir(self._tfds_path	):
							snake_case__			:				Union[str, Any]       =  os.listdir(a__	)
						else:
							snake_case__			:				Union[str, Any]       =  [os.path.basename(self._tfds_path	)]

						for f_name in file_names:
							self._logger.info(f'''Looking at file {f_name}'''	)
							snake_case__			:				int       =  os.path.join(a__							,		a__	)
							snake_case__			:				Dict       =  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:
								snake_case__			:				Any       =  f.readlines()

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

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

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











__lowerCamelCase :      Optional[int]										=				"""Tobias Carryer"""

from time import time



class 							SCREAMING_SNAKE_CASE__						:





					"""simple docstring"""






					def __init__( self					:  List[Any]							,		__A					:  List[Any]							,		__A					:  Optional[int]							,		__A					:  List[str]							,		__A					:  Dict=int(time()	)	):  # noqa: B008
						snake_case__			:				List[Any]       =  multiplier
						snake_case__			:				Optional[int]       =  increment
						snake_case__			:				Optional[int]       =  modulo
						snake_case__			:				Union[str, Any]       =  seed






					def 	_lowercase					( self					:  str	):
						snake_case__			:				Union[str, Any]       =  (self.multiplier * self.seed + self.increment) % self.modulo
						return self.seed


if __name__ == "__main__":
	# Show the LCG in action.
	__lowerCamelCase :      int										=				LinearCongruentialGenerator(166_4525, 10_1390_4223, 2 << 31)
	while True:
		print(lcg.next_number())



