


'''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							:   Union[str, Any]  						=	'=======\n>>>>>>>\n'

lowerCamelCase							:   Tuple  						=	[
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

lowerCamelCase							:   List[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 _SCREAMING_SNAKE_CASE      (A       )       ->       Optional[int]:






       """simple docstring"""







       return ConvertCommand(args.tfds_path  , args.datasets_directory       )

class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      @staticmethod
      def       UpperCamelCase__		(UpperCamelCase    :    ArgumentParser ):

             '''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=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    :    Dict   ,						UpperCamelCase    :    str   ,						UpperCamelCase    :    str   ,						*UpperCamelCase    :    Any ):

             '''simple docstring'''







             lowercase__      			= get_logger('''datasets-cli/converting''' )

             lowercase__      			= tfds_path
             lowercase__      			= datasets_directory






      def       UpperCamelCase__		(self    :    Optional[int] ):

             '''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(UpperCamelCase )
             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(UpperCamelCase   ,						UpperCamelCase )
                    lowercase__      			= 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:
                           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 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:
                                         lowercase__      			= re.sub(UpperCamelCase   ,						UpperCamelCase   ,						UpperCamelCase )

                # 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]+)'''   ,						UpperCamelCase )
                                  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(UpperCamelCase )

                    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(UpperCamelCase   ,						UpperCamelCase )
                           lowercase__      			= 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:
                           lowercase__      			= os.path.basename(UpperCamelCase )
                           lowercase__      			= 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'." )








'''simple docstring'''

import warnings

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


lowerCamelCase							:   str  						=	logging.get_logger(__name__)

lowerCamelCase							:   int  						=	{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Union[str, Any]  					=							"""mvp"""
      lowerCAmelCase__					:     Optional[Any]  					=							["""past_key_values"""]
      lowerCAmelCase__					:     List[str]  					=							{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}



      def __init__(self    :    Any   ,						UpperCamelCase    :    Optional[int]=50267   ,						UpperCamelCase    :    Tuple=1024   ,						UpperCamelCase    :    int=12   ,						UpperCamelCase    :    Tuple=4096   ,						UpperCamelCase    :    Dict=16   ,						UpperCamelCase    :    int=12   ,						UpperCamelCase    :    Optional[int]=4096   ,						UpperCamelCase    :    Optional[int]=16   ,						UpperCamelCase    :    Tuple=0.0   ,						UpperCamelCase    :    Tuple=0.0   ,						UpperCamelCase    :    List[Any]="gelu"   ,						UpperCamelCase    :    Union[str, Any]=1024   ,						UpperCamelCase    :    Optional[Any]=0.1   ,						UpperCamelCase    :    str=0.0   ,						UpperCamelCase    :    str=0.0   ,						UpperCamelCase    :    Optional[Any]=0.02   ,						UpperCamelCase    :    List[str]=0.0   ,						UpperCamelCase    :    List[str]=False   ,						UpperCamelCase    :    Optional[int]=True   ,						UpperCamelCase    :    Any=1   ,						UpperCamelCase    :    int=0   ,						UpperCamelCase    :    int=2   ,						UpperCamelCase    :    Any=True   ,						UpperCamelCase    :    Optional[Any]=2   ,						UpperCamelCase    :    Optional[Any]=2   ,						UpperCamelCase    :    Tuple=False   ,						UpperCamelCase    :    int=100   ,						UpperCamelCase    :    Optional[Any]=800   ,						**UpperCamelCase    :    str   ,						):

             '''simple docstring'''







             lowercase__      			= vocab_size
             lowercase__      			= max_position_embeddings
             lowercase__      			= d_model
             lowercase__      			= encoder_ffn_dim
             lowercase__      			= encoder_layers
             lowercase__      			= encoder_attention_heads
             lowercase__      			= decoder_ffn_dim
             lowercase__      			= decoder_layers
             lowercase__      			= decoder_attention_heads
             lowercase__      			= dropout
             lowercase__      			= attention_dropout
             lowercase__      			= activation_dropout
             lowercase__      			= activation_function
             lowercase__      			= init_std
             lowercase__      			= encoder_layerdrop
             lowercase__      			= decoder_layerdrop
             lowercase__      			= classifier_dropout
             lowercase__      			= use_cache
             lowercase__      			= encoder_layers
             lowercase__      			= scale_embedding  # scale factor will be sqrt(d_model) if True
             lowercase__      			= use_prompt
             lowercase__      			= prompt_length
             lowercase__      			= prompt_mid_dim

             super().__init__(
                 pad_token_id=UpperCamelCase   ,						bos_token_id=UpperCamelCase   ,						eos_token_id=UpperCamelCase   ,						is_encoder_decoder=UpperCamelCase   ,						decoder_start_token_id=UpperCamelCase   ,						forced_eos_token_id=UpperCamelCase   ,						**UpperCamelCase   ,						)

             if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''   ,						UpperCamelCase ):
                    lowercase__      			= self.bos_token_id
                    warnings.warn(
                        f"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
                        '''The config can simply be saved and uploaded again to be fixed.''' )




