

'''simple docstring'''




import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


_a			:	Tuple								=  get_logger(__name__)


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[str]  ):
  return TestCommand(
      args.dataset    ,				args.name    ,				args.cache_dir    ,				args.data_dir    ,				args.all_configs    ,				args.save_info or args.save_infos    ,				args.ignore_verifications    ,				args.force_redownload    ,				args.clear_cache    ,				)



class     lowercase_		(						a	):

  '''simple docstring'''





  __lowerCAmelCase   :	List[Any]      					=				False  # to tell pytest it's not a test class
  @staticmethod
  def   snake_case_     (       a_       )							->			str:


    """simple docstring"""
    UpperCAmelCase  							=		parser.add_parser('test'				,	help='Test dataset implementation.'       )
    test_parser.add_argument('--name'				,	type=a_				,	default=a_				,	help='Dataset processing name'       )
    test_parser.add_argument(
        '--cache_dir'				,	type=a_				,	default=a_				,	help='Cache directory where the datasets are stored.'				,	)
    test_parser.add_argument(
        '--data_dir'				,	type=a_				,	default=a_				,	help='Can be used to specify a manual directory to get the files from.'				,	)
    test_parser.add_argument('--all_configs'				,	action='store_true'				,	help='Test all dataset configurations'       )
    test_parser.add_argument(
        '--save_info'				,	action='store_true'				,	help='Save the dataset infos in the dataset card (README.md)'       )
    test_parser.add_argument(
        '--ignore_verifications'				,	action='store_true'				,	help='Run the test without checksums and splits checks.'				,	)
    test_parser.add_argument('--force_redownload'				,	action='store_true'				,	help='Force dataset redownload'       )
    test_parser.add_argument(
        '--clear_cache'				,	action='store_true'				,	help='Remove downloaded files and cached datasets after each config test'				,	)
    # aliases
    test_parser.add_argument('--save_infos'				,	action='store_true'				,	help='alias to save_info'       )
    test_parser.add_argument('dataset'				,	type=a_				,	help='Name of the dataset to download'       )
    test_parser.set_defaults(func=_test_command_factory       )
  def __init__(       self				,	a_				,	a_				,	a_				,	a_				,	a_				,	a_				,	a_				,	a_				,	a_				,	)							->			Tuple:


    """simple docstring"""
    UpperCAmelCase  							=		dataset
    UpperCAmelCase  							=		name
    UpperCAmelCase  							=		cache_dir
    UpperCAmelCase  							=		data_dir
    UpperCAmelCase  							=		all_configs
    UpperCAmelCase  							=		save_infos
    UpperCAmelCase  							=		ignore_verifications
    UpperCAmelCase  							=		force_redownload
    UpperCAmelCase  							=		clear_cache
    if clear_cache and not cache_dir:
      print(
          'When --clear_cache is used, specifying a cache directory is mandatory.\n'
          'The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'
          'Please provide a --cache_dir that will be used to test the dataset script.'       )
      exit(1       )
    if save_infos:
      UpperCAmelCase  							=		True





  def   snake_case_     (       self       )							->			Tuple:


    """simple docstring"""
    fl_logger().setLevel(a_       )
    if self._name is not None and self._all_configs:
      print('Both parameters `config` and `all_configs` can\'t be used at once.'       )
      exit(1       )
    UpperCAmelCase							, UpperCAmelCase  							=		self._dataset, self._name
    UpperCAmelCase  							=		dataset_module_factory(a_       )
    UpperCAmelCase  							=		import_main_class(module.module_path       )
    UpperCAmelCase  							=		len(builder_cls.BUILDER_CONFIGS       ) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

    def get_builders() -> Generator[DatasetBuilder, None, None]:
      if self._all_configs and builder_cls.BUILDER_CONFIGS:
        for i, config in enumerate(builder_cls.BUILDER_CONFIGS       ):
          if "config_name" in module.builder_kwargs:
            yield builder_cls(
                cache_dir=self._cache_dir				,	data_dir=self._data_dir				,	**module.builder_kwargs				,	)
          else:
            yield builder_cls(
                config_name=config.name				,	cache_dir=self._cache_dir				,	data_dir=self._data_dir				,	**module.builder_kwargs				,	)
      else:
        if "config_name" in module.builder_kwargs:
          yield builder_cls(cache_dir=self._cache_dir				,	data_dir=self._data_dir				,	**module.builder_kwargs       )
        else:
          yield builder_cls(
              config_name=a_				,	cache_dir=self._cache_dir				,	data_dir=self._data_dir				,	**module.builder_kwargs				,	)

    for j, builder in enumerate(get_builders()       ):
      print(F'''Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'''       )
      UpperCAmelCase  							=		os.path.exists(
          os.path.join(builder.get_imported_module_dir()				,	datasets.config.DATASETDICT_INFOS_FILENAME       )       )  # record checksums only if we need to update a (deprecated) dataset_infos.json
      builder.download_and_prepare(
          download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
          if not self._force_redownload
          else DownloadMode.FORCE_REDOWNLOAD				,	verification_mode=VerificationMode.NO_CHECKS
          if self._ignore_verifications
          else VerificationMode.ALL_CHECKS				,	try_from_hf_gcs=a_				,	)
      builder.as_dataset()
      if self._save_infos:
        builder._save_infos()

      # If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
      # The dataset_infos are saved in the YAML part of the README.md

      # Let's move it to the original directory of the dataset script, to allow the user to
      # upload them on S3 at the same time afterwards.
      if self._save_infos:
        UpperCAmelCase  							=		os.path.join(builder_cls.get_imported_module_dir()				,	'README.md'       )
        UpperCAmelCase  							=		Path(a_       ).name + '.py'
        UpperCAmelCase  							=		os.path.join(a_				,	a_       )
        if os.path.isfile(a_       ):
          UpperCAmelCase  							=		os.path.dirname(a_       )
        elif os.path.isfile(a_       ):
          UpperCAmelCase  							=		path
        elif os.path.isdir(a_       ):  # for local directories containing only data files
          UpperCAmelCase  							=		path
        else:  # in case of a remote dataset
          UpperCAmelCase  							=		None
          print(F'''Dataset card saved at {dataset_readme_path}'''       )

        # Move dataset_info back to the user
        if dataset_dir is not None:
          UpperCAmelCase  							=		os.path.join(a_				,	'README.md'       )
          copyfile(a_				,	a_       )
          print(F'''Dataset card saved at {user_dataset_readme_path}'''       )

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
      if self._clear_cache:
        if os.path.isdir(builder._cache_dir       ):
          logger.warning(F'''Clearing cache at {builder._cache_dir}'''       )
          rmtree(builder._cache_dir       )
        UpperCAmelCase  							=		os.path.join(self._cache_dir				,	datasets.config.DOWNLOADED_DATASETS_DIR       )
        if os.path.isdir(a_       ):
          logger.warning(F'''Clearing cache at {download_dir}'''       )
          rmtree(a_       )

    print('Test successful.'       )





'''simple docstring'''




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_a			:	Optional[int]								=  logging.get_logger(__name__)


_a			:	List[str]								=  {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all MVP models at https://huggingface.co/models?filter=mvp
_a			:	Tuple								=  {
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
}

_a			:	str								=  {
    'RUCAIBox/mvp': 1_024,
}


@lru_cache()
def  lowerCamelCase__						(  ):
  UpperCAmelCase  							=		(
      list(range(ord('!'  )    ,				ord('~'  ) + 1  )  ) + list(range(ord('¡'  )    ,				ord('¬'  ) + 1  )  ) + list(range(ord('®'  )    ,				ord('ÿ'  ) + 1  )  )
  )
  UpperCAmelCase  							=		bs[:]
  UpperCAmelCase  							=		0
  for b in range(2**8  ):
    if b not in bs:
      bs.append(SCREAMING_SNAKE_CASE  )
      cs.append(2**8 + n  )
      n += 1
  UpperCAmelCase  							=		[chr(SCREAMING_SNAKE_CASE  ) for n in cs]
  return dict(zip(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  )  )


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[Any]  ):
  UpperCAmelCase  							=		set()
  UpperCAmelCase  							=		word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)  )
    UpperCAmelCase  							=		char
  return pairs



class     lowercase_		(						a	):

  '''simple docstring'''





  __lowerCAmelCase   :	str      					=				VOCAB_FILES_NAMES
  __lowerCAmelCase   :	List[Any]      					=				PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase   :	Dict      					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase   :	Optional[Any]      					=				["input_ids", "attention_mask"]
  def __init__(       self				,	a_				,	a_				,	a_="replace"				,	a_="<s>"				,	a_="</s>"				,	a_="</s>"				,	a_="<s>"				,	a_="<unk>"				,	a_="<pad>"				,	a_="<mask>"				,	a_=False				,	**a_				,	)							->			Optional[Any]:


    """simple docstring"""
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else bos_token
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else eos_token
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else sep_token
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else cls_token
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else unk_token
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else pad_token

    # Mask token behave like a normal word, i.e. include the space before it
    UpperCAmelCase  							=		AddedToken(a_				,	lstrip=a_				,	rstrip=a_       ) if isinstance(a_				,	a_       ) else mask_token

    super().__init__(
        errors=a_				,	bos_token=a_				,	eos_token=a_				,	unk_token=a_				,	sep_token=a_				,	cls_token=a_				,	pad_token=a_				,	mask_token=a_				,	add_prefix_space=a_				,	**a_				,	)
    with open(a_				,	encoding='utf-8'       ) as vocab_handle:
      UpperCAmelCase  							=		json.load(a_       )
    UpperCAmelCase  							=		{v: k for k, v in self.encoder.items()}
    UpperCAmelCase  							=		errors  # how to handle errors in decoding
    UpperCAmelCase  							=		bytes_to_unicode()
    UpperCAmelCase  							=		{v: k for k, v in self.byte_encoder.items()}
    with open(a_				,	encoding='utf-8'       ) as merges_handle:
      UpperCAmelCase  							=		merges_handle.read().split('\n'       )[1:-1]
    UpperCAmelCase  							=		[tuple(merge.split()       ) for merge in bpe_merges]
    UpperCAmelCase  							=		dict(zip(a_				,	range(len(a_       )       )       )       )
    UpperCAmelCase  							=		{}
    UpperCAmelCase  							=		add_prefix_space

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    UpperCAmelCase  							=		re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'       )
  @property
  def   snake_case_     (       self       )							->			Any:


    """simple docstring"""
    return len(self.encoder       )
  def   snake_case_     (       self       )							->			Union[str, Any]:


    """simple docstring"""
    return dict(self.encoder				,	**self.added_tokens_encoder       )
  def   snake_case_     (       self				,	a_       )							->			int:


    """simple docstring"""
    if token in self.cache:
      return self.cache[token]
    UpperCAmelCase  							=		tuple(a_       )
    UpperCAmelCase  							=		get_pairs(a_       )

    if not pairs:
      return token

    while True:
      UpperCAmelCase  							=		min(a_				,	key=lambda a_       : self.bpe_ranks.get(a_				,	float('inf'       )       )       )
      if bigram not in self.bpe_ranks:
        break
      UpperCAmelCase							, UpperCAmelCase  							=		bigram
      UpperCAmelCase  							=		[]
      UpperCAmelCase  							=		0
      while i < len(a_       ):
        try:
          UpperCAmelCase  							=		word.index(a_				,	a_       )
        except ValueError:
          new_word.extend(word[i:]       )
          break
        else:
          new_word.extend(word[i:j]       )
          UpperCAmelCase  							=		j

        if word[i] == first and i < len(a_       ) - 1 and word[i + 1] == second:
          new_word.append(first + second       )
          i += 2
        else:
          new_word.append(word[i]       )
          i += 1
      UpperCAmelCase  							=		tuple(a_       )
      UpperCAmelCase  							=		new_word
      if len(a_       ) == 1:
        break
      else:
        UpperCAmelCase  							=		get_pairs(a_       )
    UpperCAmelCase  							=		' '.join(a_       )
    UpperCAmelCase  							=		word
    return word
  def   snake_case_     (       self				,	a_       )							->			int:


    """simple docstring"""
    UpperCAmelCase  							=		[]
    for token in re.findall(self.pat				,	a_       ):
      UpperCAmelCase  							=		''.join(
          self.byte_encoder[b] for b in token.encode('utf-8'       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
      bpe_tokens.extend(bpe_token for bpe_token in self.bpe(a_       ).split(' '       )       )
    return bpe_tokens
  def   snake_case_     (       self				,	a_       )							->			Optional[int]:


    """simple docstring"""
    return self.encoder.get(a_				,	self.encoder.get(self.unk_token       )       )
  def   snake_case_     (       self				,	a_       )							->			Tuple:


    """simple docstring"""
    return self.decoder.get(a_       )
  def   snake_case_     (       self				,	a_       )							->			List[Any]:


    """simple docstring"""
    UpperCAmelCase  							=		''.join(a_       )
    UpperCAmelCase  							=		bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8'				,	errors=self.errors       )
    return text
  def   snake_case_     (       self				,	a_				,	a_ = None       )							->			Tuple[str]:


    """simple docstring"""
    if not os.path.isdir(a_       ):
      logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
      return
    UpperCAmelCase  							=		os.path.join(
        a_				,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
    UpperCAmelCase  							=		os.path.join(
        a_				,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

    with open(a_				,	'w'				,	encoding='utf-8'       ) as f:
      f.write(json.dumps(self.encoder				,	indent=2				,	sort_keys=a_				,	ensure_ascii=a_       ) + '\n'       )

    UpperCAmelCase  							=		0
    with open(a_				,	'w'				,	encoding='utf-8'       ) as writer:
      writer.write('#version: 0.2\n'       )
      for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,	key=lambda a_       : kv[1]       ):
        if index != token_index:
          logger.warning(
              F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
              ' Please check that the tokenizer is not corrupted!'       )
          UpperCAmelCase  							=		token_index
        writer.write(' '.join(a_       ) + '\n'       )
        index += 1

    return vocab_file, merge_file
  def   snake_case_     (       self				,	a_				,	a_ = None       )							->			List[int]:


    """simple docstring"""
    if token_ids_a is None:
      return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    UpperCAmelCase  							=		[self.cls_token_id]
    UpperCAmelCase  							=		[self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep
  def   snake_case_     (       self				,	a_				,	a_ = None				,	a_ = False       )							->			List[int]:


    """simple docstring"""
    if already_has_special_tokens:
      return super().get_special_tokens_mask(
          token_ids_a=a_				,	token_ids_a=a_				,	already_has_special_tokens=a_       )

    if token_ids_a is None:
      return [1] + ([0] * len(a_       )) + [1]
    return [1] + ([0] * len(a_       )) + [1, 1] + ([0] * len(a_       )) + [1]
  def   snake_case_     (       self				,	a_				,	a_ = None       )							->			List[int]:


    """simple docstring"""
    UpperCAmelCase  							=		[self.sep_token_id]
    UpperCAmelCase  							=		[self.cls_token_id]

    if token_ids_a is None:
      return len(cls + token_ids_a + sep       ) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]





  def   snake_case_     (       self				,	a_				,	a_=False				,	**a_       )							->			Optional[Any]:


    """simple docstring"""
    UpperCAmelCase  							=		kwargs.pop('add_prefix_space'				,	self.add_prefix_space       )
    if (is_split_into_words or add_prefix_space) and (len(a_       ) > 0 and not text[0].isspace()):
      UpperCAmelCase  							=		' ' + text
    return (text, kwargs)


