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

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


lowercase		:  Dict     					=       """<<<<<<< This should probably be modified because it mentions: """

lowercase		:  Dict     					=       """=======
>>>>>>>
"""

lowercase		:  str     					=       [
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

lowercase		:  Tuple     					=       [
    # (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_  (      _UpperCAmelCase    ):
						return ConvertCommand(args.tfds_path			,  args.datasets_directory    )






class 					a__     ( __a ):






				@staticmethod
				def   lowerCAmelCase (    A_       :						Any							)       ->      int:

										"""simple docstring"""
										lowerCamelCase_:       Dict					     = parser.add_parser(
										    """convert"""  ,							help="""Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."""  ,							)
										train_parser.add_argument(
										    """--tfds_path"""  ,							type=_lowerCamelCase  ,							required=_lowerCamelCase  ,							help="""Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."""  ,							)
										train_parser.add_argument(
										    """--datasets_directory"""  ,							type=_lowerCamelCase  ,							required=_lowerCamelCase  ,							help="""Path to the HuggingFace Datasets folder."""							)
										train_parser.set_defaults(func=_lowerCamelCase							)






				def __init__(    self       :						List[Any]  ,							A_       :						Any  ,							A_       :						Any  ,							*A_       :						List[str]							)       ->      Union[str, Any]:

										"""simple docstring"""
										lowerCamelCase_:       Union[str, Any]					     = get_logger("""datasets-cli/converting"""							)

										lowerCamelCase_:       List[str]					     = tfds_path
										lowerCamelCase_:       List[Any]					     = datasets_directory






				def   lowerCAmelCase (    self       :						Optional[int]							)       ->      List[Any]:

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

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

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

										lowerCamelCase_:       Optional[Any]					     = []
										lowerCamelCase_:       Union[str, Any]					     = []
										lowerCamelCase_:       Tuple					     = {}

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

										for f_name in file_names:
																self._logger.info(f"""Looking at file {f_name}"""							)
																lowerCamelCase_:       List[Any]					     = os.path.join(_lowerCamelCase  ,							_lowerCamelCase							)
																lowerCamelCase_:       Optional[Any]					     = os.path.join(_lowerCamelCase  ,							_lowerCamelCase							)

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

																with open(_lowerCamelCase  ,							encoding="""utf-8"""							) as f:
																						lowerCamelCase_:       Union[str, Any]					     = f.readlines()

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

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

																if is_builder or "wmt" in f_name:
																						# We create a new directory for each dataset
																						lowerCamelCase_:       List[Any]					     = f_name.replace(""".py"""  ,							""""""							)
																						lowerCamelCase_:       Optional[int]					     = os.path.join(_lowerCamelCase  ,							_lowerCamelCase							)
																						lowerCamelCase_:       Dict					     = os.path.join(_lowerCamelCase  ,							_lowerCamelCase							)
																						os.makedirs(_lowerCamelCase  ,							exist_ok=_lowerCamelCase							)
																						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(_lowerCamelCase							)

																if needs_manual_update:
																						with_manual_update.append(_lowerCamelCase							)

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

										for utils_file in utils_files:
																try:
																						lowerCamelCase_:       List[Any]					     = os.path.basename(_lowerCamelCase							)
																						lowerCamelCase_:       Optional[Any]					     = imports_to_builder_map[f_name.replace(""".py"""  ,							""""""							)]
																						self._logger.info(f"""Moving {dest_folder} to {utils_file}"""							)
																						shutil.copy(_lowerCamelCase  ,							_lowerCamelCase							)
																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__			(		__magic_name__      )						->int:

			if not isinstance(__magic_name__			,   __magic_name__      ):
						raise ValueError("multiplicative_persistence() only accepts integral values"      )
			if num < 0:
						raise ValueError("multiplicative_persistence() does not accept negative values"      )

			__lowercase       =       0
			__lowercase       =       str(__magic_name__      )

			while len(__magic_name__      ) != 1:
						__lowercase       =       [int(__magic_name__      ) for i in num_string]

						__lowercase       =       1
						for i in range(0			,   len(__magic_name__      )      ):
									total *= numbers[i]

						__lowercase       =       str(__magic_name__      )

						steps += 1
			return steps



def      lowerCAmelCase__			(		__magic_name__      )						->int:

			if not isinstance(__magic_name__			,   __magic_name__      ):
						raise ValueError("additive_persistence() only accepts integral values"      )
			if num < 0:
						raise ValueError("additive_persistence() does not accept negative values"      )

			__lowercase       =       0
			__lowercase       =       str(__magic_name__      )

			while len(__magic_name__      ) != 1:
						__lowercase       =       [int(__magic_name__      ) for i in num_string]

						__lowercase       =       0
						for i in range(0			,   len(__magic_name__      )      ):
									total += numbers[i]

						__lowercase       =       str(__magic_name__      )

						steps += 1
			return steps


if __name__ == "__main__":
					import doctest

					doctest.testmod()





