

import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class  UpperCamelCase_      (	_UpperCAmelCase		,  unittest.TestCase      ):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__					:			Dict					    =   MPNetTokenizer
  SCREAMING_SNAKE_CASE__					:			Optional[Any]					    =   MPNetTokenizerFast
  SCREAMING_SNAKE_CASE__					:			Any					    =   True
  SCREAMING_SNAKE_CASE__					:			List[str]					    =   True



  def   _UpperCamelCase     (						self     :					str						)       ->			Dict:
      super().setUp()

      SCREAMING_SNAKE_CASE__         =    [
          """[UNK]""",
          """[CLS]""",
          """[SEP]""",
          """[PAD]""",
          """[MASK]""",
          """want""",
          """##want""",
          """##ed""",
          """wa""",
          """un""",
          """runn""",
          """##ing""",
          """,""",
          """low""",
          """lowest""",
      ]
      SCREAMING_SNAKE_CASE__         =    os.path.join(self.tmpdirname  ,	VOCAB_FILES_NAMES["vocab_file"]						)
      with open(self.vocab_file  ,	"w"  ,	encoding="utf-8"						) as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)



  def   _UpperCamelCase     (						self     :					Any  ,	A_     :					Tuple						)       ->			Optional[Any]:
      SCREAMING_SNAKE_CASE__         =    """UNwant\u00E9d,running"""
      SCREAMING_SNAKE_CASE__         =    """unwanted, running"""
      return input_text, output_text



  def   _UpperCamelCase     (						self     :					List[str]						)       ->			Tuple:
      SCREAMING_SNAKE_CASE__         =    self.tokenizer_class(self.vocab_file						)

      SCREAMING_SNAKE_CASE__         =    tokenizer.tokenize("UNwant\u00E9d,running"						)
      self.assertListEqual(lowercase_  ,	["un", "##want", "##ed", ",", "runn", "##ing"]						)
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_						)  ,	[9, 6, 7, 12, 10, 11]						)







  @slow
  def   _UpperCamelCase     (						self     :					str						)       ->			Tuple:
      SCREAMING_SNAKE_CASE__         =    self.tokenizer_class.from_pretrained("microsoft/mpnet-base"						)

      SCREAMING_SNAKE_CASE__         =    tokenizer.encode("sequence builders"  ,	add_special_tokens=lowercase_						)
      SCREAMING_SNAKE_CASE__         =    tokenizer.encode("multi-sequence build"  ,	add_special_tokens=lowercase_						)

      SCREAMING_SNAKE_CASE__         =    tokenizer.build_inputs_with_special_tokens(lowercase_						)
      SCREAMING_SNAKE_CASE__         =    tokenizer.build_inputs_with_special_tokens(lowercase_  ,	lowercase_						)

      assert encoded_sentence == [0] + text + [2]
      assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]



'''simple docstring'''




_lowercase		:					List[str]													=		"\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n"

_lowercase		:					Union[str, Any]													=		[{"type": "code", "content": INSTALL_CONTENT}]





