



'''simple docstring'''





import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 					lowerCamelCase_    (				SCREAMING_SNAKE_CASE_   ,   unittest.TestCase     ):
  """simple docstring"""




  a_												=None
  a_												=BloomTokenizerFast
  a_												=BloomTokenizerFast
  a_												=True
  a_												=False
  a_												="""tokenizer_file"""
  a_												={"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}




  def 						_lowercase     ( self      :	List[Any]   )					->					int:
    super().setUp()
    __lowerCamelCase       :       List[Any]           = BloomTokenizerFast.from_pretrained('bigscience/tokenizer'   )
    tokenizer.save_pretrained(self.tmpdirname   )




  def 						_lowercase     ( self      :	List[str]			,	**_a      :	Optional[Any]   )					->					Tuple:
    kwargs.update(self.special_tokens_map   )
    return BloomTokenizerFast.from_pretrained(self.tmpdirname			,	**_a   )




  def 						_lowercase     ( self      :	Dict   )					->					int:
    __lowerCamelCase       :       int           = self.get_rust_tokenizer()

    __lowerCamelCase       :       Any           = ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
    __lowerCamelCase       :       Union[str, Any]           = [[2175, 2_3714, 7_3173, 14_4252, 2], [77, 13_2619, 3478, 368, 10_9586, 3_5433, 2]]

    __lowerCamelCase       :       Union[str, Any]           = tokenizer.batch_encode_plus(_a   )['input_ids']
    self.assertListEqual(_a			,	_a   )

    __lowerCamelCase       :       List[str]           = tokenizer.batch_decode(_a   )
    self.assertListEqual(_a			,	_a   )




  def 						_lowercase     ( self      :	Optional[Any]			,	_a      :	Union[str, Any]=6   )					->					str:
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
      with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
        __lowerCamelCase       :       Tuple           = self.rust_tokenizer_class.from_pretrained(_a			,	**_a   )
        # tokenizer_r.pad_token = None # Hotfixing padding = None
        # Simple input
        __lowerCamelCase       :       List[Any]           = 'This is a simple input'
        __lowerCamelCase       :       str           = ['This is a simple input 1', 'This is a simple input 2']
        __lowerCamelCase       :       str           = ('This is a simple input', 'This is a pair')
        __lowerCamelCase       :       Optional[int]           = [
            ('This is a simple input 1', 'This is a simple input 2'),
            ('This is a simple pair 1', 'This is a simple pair 2'),
        ]

        # Simple input tests
        try:
          tokenizer_r.encode(_a			,	max_length=_a   )
          tokenizer_r.encode_plus(_a			,	max_length=_a   )

          tokenizer_r.batch_encode_plus(_a			,	max_length=_a   )
          tokenizer_r.encode(_a			,	max_length=_a   )
          tokenizer_r.batch_encode_plus(_a			,	max_length=_a   )
        except ValueError:
          self.fail('Bloom Tokenizer should be able to deal with padding'   )

        __lowerCamelCase       :       Optional[Any]           = None  # Hotfixing padding = None
        self.assertRaises(_a			,	tokenizer_r.encode			,	_a			,	max_length=_a			,	padding='max_length'   )

        # Simple input
        self.assertRaises(_a			,	tokenizer_r.encode_plus			,	_a			,	max_length=_a			,	padding='max_length'   )

        # Simple input
        self.assertRaises(
            _a			,	tokenizer_r.batch_encode_plus			,	_a			,	max_length=_a			,	padding='max_length'			,	)

        # Pair input
        self.assertRaises(_a			,	tokenizer_r.encode			,	_a			,	max_length=_a			,	padding='max_length'   )

        # Pair input
        self.assertRaises(_a			,	tokenizer_r.encode_plus			,	_a			,	max_length=_a			,	padding='max_length'   )

        # Pair input
        self.assertRaises(
            _a			,	tokenizer_r.batch_encode_plus			,	_a			,	max_length=_a			,	padding='max_length'			,	)




  def 						_lowercase     ( self      :	Optional[int]   )					->					Optional[Any]:
    __lowerCamelCase       :       Any           = self.get_rust_tokenizer()
    __lowerCamelCase       :       List[Any]           = load_dataset('xnli'			,	'all_languages'			,	split='test'			,	streaming=_a   )

    __lowerCamelCase       :       Union[str, Any]           = next(iter(_a   )   )['premise']  # pick up one data
    __lowerCamelCase       :       Any           = list(sample_data.values()   )

    __lowerCamelCase       :       Optional[int]           = list(map(tokenizer.encode			,	_a   )   )
    __lowerCamelCase       :       Optional[Any]           = [tokenizer.decode(_a			,	clean_up_tokenization_spaces=_a   ) for x in output_tokens]
    self.assertListEqual(_a			,	_a   )




  def 						_lowercase     ( self      :	Dict   )					->					Optional[int]:
    # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
    # any sequence length constraints. This test of the parent class will fail since it relies on the
    # maximum sequence length of the positoonal embeddings.
    self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map   )			,	1   )
    self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()   )[0]   )			,	1   )











'''simple docstring'''





import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def        a_     (							*_lowerCAmelCase       ,_lowerCAmelCase = None       ,_lowerCAmelCase=True       ,_lowerCAmelCase=2       )      ->      List[str]:
  from .. import __version__

  __lowerCamelCase       :       Any           = take_from
  __lowerCamelCase       :       Optional[int]           = ()
  if not isinstance(args[0]       ,_lowerCAmelCase       ):
    __lowerCamelCase       :       Optional[Any]           = (args,)

  for attribute, version_name, message in args:
    if version.parse(version.parse(_lowerCAmelCase       ).base_version       ) >= version.parse(_lowerCAmelCase       ):
      raise ValueError(
          F'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
          F' version {__version__} is >= {version_name}'       )

    __lowerCamelCase       :       Union[str, Any]           = None
    if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and attribute in deprecated_kwargs:
      values += (deprecated_kwargs.pop(_lowerCAmelCase       ),)
      __lowerCamelCase       :       Optional[Any]           = F'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
    elif hasattr(_lowerCAmelCase       ,_lowerCAmelCase       ):
      values += (getattr(_lowerCAmelCase       ,_lowerCAmelCase       ),)
      __lowerCamelCase       :       List[str]           = F'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
    elif deprecated_kwargs is None:
      __lowerCamelCase       :       Optional[Any]           = F'`{attribute}` is deprecated and will be removed in version {version_name}.'

    if warning is not None:
      __lowerCamelCase       :       Optional[int]           = warning + ' ' if standard_warn else ''
      warnings.warn(warning + message       ,_lowerCAmelCase       ,stacklevel=_lowerCAmelCase       )

  if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and len(_lowerCAmelCase       ) > 0:
    __lowerCamelCase       :       Optional[Any]           = inspect.getouterframes(inspect.currentframe()       )[1]
    __lowerCamelCase       :       List[str]           = call_frame.filename
    __lowerCamelCase       :       int           = call_frame.lineno
    __lowerCamelCase       :       Union[str, Any]           = call_frame.function
    __lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = next(iter(deprecated_kwargs.items()       )       )
    raise TypeError(F'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

  if len(_lowerCAmelCase       ) == 0:
    return
  elif len(_lowerCAmelCase       ) == 1:
    return values[0]
  return values






