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

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


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

lowercase   =	'''=======
>>>>>>>
'''

lowercase   =	[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

lowercase   =	[
    # (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    (				UpperCAmelCase__					:   Namespace							)	->     Union[str, Any]:
							return ConvertCommand(args.tfds_path      ,					args.datasets_directory							)





class    __A(					UpperCAmelCase							):

					@staticmethod
					def  lowercase__   (						__UpperCamelCase       :  ArgumentParser ):
												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       :  List[str] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  str ,       *__UpperCamelCase       :  Union[str, Any] ):
												lowerCamelCase_					=       get_logger("""datasets-cli/converting""" )

												lowerCamelCase_					=       tfds_path
												lowerCamelCase_					=       datasets_directory



					def  lowercase__   (						self       :  List[str] ):
												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 __UpperCamelCase : 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\'.''' )







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


lowercase   =	logging.get_logger(__name__)

lowercase   =	{
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     '''gpt_neox_japanese'''

					def __init__(						self       :  Union[str, Any] ,       __UpperCamelCase       :  str=3_2_0_0_0 ,       __UpperCamelCase       :  List[Any]=2_5_6_0 ,       __UpperCamelCase       :  Any=3_2 ,       __UpperCamelCase       :  List[str]=3_2 ,       __UpperCamelCase       :  List[str]=4 ,       __UpperCamelCase       :  Dict="gelu" ,       __UpperCamelCase       :  List[Any]=1.00 ,       __UpperCamelCase       :  Any=1_0_0_0_0 ,       __UpperCamelCase       :  Optional[Any]=2_0_4_8 ,       __UpperCamelCase       :  Tuple=0.02 ,       __UpperCamelCase       :  List[str]=1E-5 ,       __UpperCamelCase       :  str=True ,       __UpperCamelCase       :  str=3_1_9_9_6 ,       __UpperCamelCase       :  int=3_1_9_9_9 ,       __UpperCamelCase       :  Optional[Any]=0.1 ,       __UpperCamelCase       :  Tuple=0.0 ,       **__UpperCamelCase       :  List[str] ,       ):
												super().__init__(bos_token_id=__UpperCamelCase ,       eos_token_id=__UpperCamelCase ,       **__UpperCamelCase )
												lowerCamelCase_					=       vocab_size
												lowerCamelCase_					=       max_position_embeddings
												lowerCamelCase_					=       hidden_size
												lowerCamelCase_					=       num_hidden_layers
												lowerCamelCase_					=       num_attention_heads
												lowerCamelCase_					=       intermediate_multiple_size
												lowerCamelCase_					=       hidden_act
												lowerCamelCase_					=       rotary_pct
												lowerCamelCase_					=       rotary_emb_base
												lowerCamelCase_					=       initializer_range
												lowerCamelCase_					=       layer_norm_eps
												lowerCamelCase_					=       use_cache
												lowerCamelCase_					=       attention_dropout
												lowerCamelCase_					=       hidden_dropout





