"""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


__lowerCAmelCase					: List[Any]        ="""<<<<<<< This should probably be modified because it mentions: """

__lowerCAmelCase					: Tuple        ="""=======
>>>>>>>
"""

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

__lowerCAmelCase					: Optional[Any]        =[
    # (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__ (       lowerCAmelCase__  :Namespace	)				->					Optional[int]:
      '''simple docstring'''


      return ConvertCommand(args.tfds_path      ,	args.datasets_directory	)






class 				_A		( lowerCAmelCase			):

      @staticmethod
      def        A__ (		__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			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	, __lowerCAmelCase	, __lowerCAmelCase	, *__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			get_logger("""datasets-cli/converting"""		)

            lowercase														=			tfds_path
            lowercase														=			datasets_directory







      def        A__ (		self		):







            """simple docstring"""



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

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

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

            lowercase														=			[]
            lowercase														=			[]
            lowercase														=			{}

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

            for f_name in file_names:
                  self._logger.info(f'Looking at file {f_name}'		)
                  lowercase														=			os.path.join(__lowerCAmelCase	, __lowerCAmelCase		)
                  lowercase														=			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:
                        lowercase														=			f.readlines()

                  lowercase														=			[]
                  lowercase														=			False
                  lowercase														=			False
                  lowercase														=			[]
                  for line in lines:
                        lowercase														=			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:
                              lowercase														=			"""import datasets\n"""
                        elif "import tensorflow" in out_line:
                              # order is important here
                              lowercase														=			""""""
                              continue
                        elif "from absl import logging" in out_line:
                              lowercase														=			"""from datasets import logging\n"""
                        elif "getLogger" in out_line:
                              lowercase														=			out_line.replace("""getLogger"""	, """get_logger"""		)
                        elif any(expression in out_line for expression in TO_HIGHLIGHT		):
                              lowercase														=			True
                              lowercase														=			list(filter(lambda __lowerCAmelCase		: 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:
                                    lowercase														=			re.sub(__lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase		)

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

                  if is_builder or "wmt" in f_name:
                        # We create a new directory for each dataset
                        lowercase														=			f_name.replace(""".py"""	, """"""		)
                        lowercase														=			os.path.join(__lowerCAmelCase	, __lowerCAmelCase		)
                        lowercase														=			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:
                        lowercase														=			os.path.basename(__lowerCAmelCase		)
                        lowercase														=			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"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase					: Any        =logging.get_logger(__name__)

__lowerCAmelCase					: Union[str, Any]        ={
    """facebook/timesformer""": """https://huggingface.co/facebook/timesformer/resolve/main/config.json""",
}





class 				_A		( lowerCAmelCase			):
      snake_case__    :     Optional[Any]													=			'timesformer'

      def __init__(		self	, __lowerCAmelCase=224	, __lowerCAmelCase=16	, __lowerCAmelCase=3	, __lowerCAmelCase=8	, __lowerCAmelCase=768	, __lowerCAmelCase=12	, __lowerCAmelCase=12	, __lowerCAmelCase=3072	, __lowerCAmelCase="gelu"	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.0_2	, __lowerCAmelCase=1E-6	, __lowerCAmelCase=True	, __lowerCAmelCase="divided_space_time"	, __lowerCAmelCase=0	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)

            lowercase														=			image_size
            lowercase														=			patch_size
            lowercase														=			num_channels
            lowercase														=			num_frames

            lowercase														=			hidden_size
            lowercase														=			num_hidden_layers
            lowercase														=			num_attention_heads
            lowercase														=			intermediate_size
            lowercase														=			hidden_act
            lowercase														=			hidden_dropout_prob
            lowercase														=			attention_probs_dropout_prob
            lowercase														=			initializer_range
            lowercase														=			layer_norm_eps
            lowercase														=			qkv_bias

            lowercase														=			attention_type
            lowercase														=			drop_path_rate



