
"""simple docstring"""





import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class A_	(SCREAMING_SNAKE_CASE_				,unittest.TestCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						Dict       =		ProphetNetTokenizer
  SCREAMING_SNAKE_CASE__			:						Any       =		False







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     super().setUp()

     UpperCAmelCase_					:					Dict			     =    [
         """[UNK]""",
         """[CLS]""",
         """[SEP]""",
         """[PAD]""",
         """[MASK]""",
         """want""",
         """##want""",
         """##ed""",
         """wa""",
         """un""",
         """runn""",
         """##ing""",
         """,""",
         """low""",
         """lowest""",
     ]
     UpperCAmelCase_					:					Optional[int]			     =    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				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					str			     =    """UNwant\u00E9d,running"""
     UpperCAmelCase_					:					List[str]			     =    """unwanted, running"""
     return input_text, output_text







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    self.tokenizer_class(self.vocab_file  )

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







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    BasicTokenizer()

     self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"  )				,   ["ah", "\u535A", "\u63A8", "zz"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    BasicTokenizer(do_lower_case=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  )				,   ["hello", "!", "how", "are", "you", "?"]  )
     self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )				,   ["hello"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    BasicTokenizer(do_lower_case=a__				,   strip_accents=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )				,   ["hällo", "!", "how", "are", "you", "?"]  )
     self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )				,   ["h\u00E9llo"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    BasicTokenizer(do_lower_case=a__				,   strip_accents=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )				,   ["hallo", "!", "how", "are", "you", "?"]  )
     self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )				,   ["hello"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    BasicTokenizer(do_lower_case=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )				,   ["hallo", "!", "how", "are", "you", "?"]  )
     self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  )				,   ["hello"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[int]			     =    BasicTokenizer(do_lower_case=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  )				,   ["HeLLo", "!", "how", "Are", "yoU", "?"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    BasicTokenizer(do_lower_case=a__				,   strip_accents=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )				,   ["HäLLo", "!", "how", "Are", "yoU", "?"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					str			     =    BasicTokenizer(do_lower_case=a__				,   strip_accents=a__  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  )				,   ["HaLLo", "!", "how", "Are", "yoU", "?"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[Any]			     =    BasicTokenizer(do_lower_case=a__				,   never_split=["[UNK]"]  )

     self.assertListEqual(
         tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"  )				,   ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

     UpperCAmelCase_					:					Optional[int]			     =    {}
     for i, token in enumerate(a__  ):
        UpperCAmelCase_					:					Optional[Any]			     =    i
     UpperCAmelCase_					:					str			     =    WordpieceTokenizer(vocab=a__				,   unk_token="[UNK]"  )

     self.assertListEqual(tokenizer.tokenize(""  )				,   []  )

     self.assertListEqual(tokenizer.tokenize("unwanted running"  )				,   ["un", "##want", "##ed", "runn", "##ing"]  )

     self.assertListEqual(tokenizer.tokenize("unwantedX running"  )				,   ["[UNK]", "runn", "##ing"]  )







  @require_torch
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"  )

     UpperCAmelCase_					:					Dict			     =    ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
     UpperCAmelCase_					:					Any			     =    [1037, 2146, 2_0423, 2005, 7680, 7849, 3989, 1012, 102]
     UpperCAmelCase_					:					Any			     =    tokenizer(a__				,   padding=a__				,   return_tensors="pt"  )
     self.assertIsInstance(a__				,   a__  )
     UpperCAmelCase_					:					Optional[Any]			     =    list(batch.input_ids.numpy()[0]  )
     self.assertListEqual(a__				,   a__  )

     self.assertEqual((2, 9)				,   batch.input_ids.shape  )
     self.assertEqual((2, 9)				,   batch.attention_mask.shape  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     self.assertTrue(_is_whitespace(" "  )  )
     self.assertTrue(_is_whitespace("\t"  )  )
     self.assertTrue(_is_whitespace("\r"  )  )
     self.assertTrue(_is_whitespace("\n"  )  )
     self.assertTrue(_is_whitespace("\u00A0"  )  )

     self.assertFalse(_is_whitespace("A"  )  )
     self.assertFalse(_is_whitespace("-"  )  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     self.assertTrue(_is_control("\u0005"  )  )

     self.assertFalse(_is_control("A"  )  )
     self.assertFalse(_is_control(" "  )  )
     self.assertFalse(_is_control("\t"  )  )
     self.assertFalse(_is_control("\r"  )  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     self.assertTrue(_is_punctuation("-"  )  )
     self.assertTrue(_is_punctuation("$"  )  )
     self.assertTrue(_is_punctuation("`"  )  )
     self.assertTrue(_is_punctuation("."  )  )

     self.assertFalse(_is_punctuation("A"  )  )
     self.assertFalse(_is_punctuation(" "  )  )







  @slow
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"  )

     UpperCAmelCase_					:					Dict			     =    tokenizer.encode("sequence builders"				,   add_special_tokens=a__  )
     UpperCAmelCase_					:					Union[str, Any]			     =    tokenizer.encode("multi-sequence build"				,   add_special_tokens=a__  )

     UpperCAmelCase_					:					Optional[int]			     =    tokenizer.build_inputs_with_special_tokens(a__  )
     UpperCAmelCase_					:					List[Any]			     =    tokenizer.build_inputs_with_special_tokens(a__				,   a__  )

     assert encoded_sentence == text + [102]
     assert encoded_pair == text + [102] + text_a + [102]



"""simple docstring"""




_a      :		List[str]           =   {
    'Pillow': 'Pillow',
    'accelerate': 'accelerate>=0.11.0',
    'compel': 'compel==0.1.8',
    'black': 'black~=23.1',
    'datasets': 'datasets',
    'filelock': 'filelock',
    'flax': 'flax>=0.4.1',
    'hf-doc-builder': 'hf-doc-builder>=0.3.0',
    'huggingface-hub': 'huggingface-hub>=0.13.2',
    'requests-mock': 'requests-mock==1.10.0',
    'importlib_metadata': 'importlib_metadata',
    'invisible-watermark': 'invisible-watermark',
    'isort': 'isort>=5.5.4',
    'jax': 'jax>=0.2.8,!=0.3.2',
    'jaxlib': 'jaxlib>=0.1.65',
    'Jinja2': 'Jinja2',
    'k-diffusion': 'k-diffusion>=0.0.12',
    'torchsde': 'torchsde',
    'note_seq': 'note_seq',
    'librosa': 'librosa',
    'numpy': 'numpy',
    'omegaconf': 'omegaconf',
    'parameterized': 'parameterized',
    'protobuf': 'protobuf>=3.20.3,<4',
    'pytest': 'pytest',
    'pytest-timeout': 'pytest-timeout',
    'pytest-xdist': 'pytest-xdist',
    'ruff': 'ruff>=0.0.241',
    'safetensors': 'safetensors',
    'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92',
    'scipy': 'scipy',
    'onnx': 'onnx',
    'regex': 'regex!=2019.12.17',
    'requests': 'requests',
    'tensorboard': 'tensorboard',
    'torch': 'torch>=1.4',
    'torchvision': 'torchvision',
    'transformers': 'transformers>=4.25.1',
    'urllib3': 'urllib3<=2.0.0',
}




