





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

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    __UpperCamelCase      (    a) ->Union[str, Any]:
					return ConvertCommand(args.tfds_path,     args.datasets_directory)







class SCREAMING_SNAKE_CASE_ (					__UpperCAmelCase   ):





					"""simple docstring"""


					@staticmethod
					def 					__magic_name__ ( _lowerCAmelCase	):
										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	,  _lowerCAmelCase	,  _lowerCAmelCase	,  *_lowerCAmelCase	):
										lowerCamelCase__       =       get_logger("datasets-cli/converting"	)

										lowerCamelCase__       =       tfds_path
										lowerCamelCase__       =       datasets_directory






					def 					__magic_name__ ( self	):
										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 _lowerCAmelCase	: 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'."	)








A_												=     {str(digit): digit**5 for digit in range(1_0)}





def    __UpperCamelCase      (    a) ->int:
					return sum(DIGITS_FIFTH_POWER[digit] for digit in str(a))





def    __UpperCamelCase      (    ) ->int:
					return sum(
					    number
					    for number in range(1000,     1000000)
					    if number == digits_fifth_powers_sum(a))


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

