



'''simple docstring'''




import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class 		_UpperCamelCase						(							lowerCamelCase__					,      unittest.TestCase					):


			'''simple docstring'''

			_A   :	List[str]    					=	MobileBertTokenizer
			_A   :	Optional[int]    					=	MobileBertTokenizerFast
			_A   :	List[str]    					=	True
			_A   :	str    					=	True
			_A   :	int    					=	filter_non_english
			_A   :	List[str]    					=	'''google/mobilebert-uncased'''

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					super().setUp()

					__SCREAMING_SNAKE_CASE :	Tuple					 =	[
					    """[UNK]""",
					    """[CLS]""",
					    """[SEP]""",
					    """[PAD]""",
					    """[MASK]""",
					    """want""",
					    """##want""",
					    """##ed""",
					    """wa""",
					    """un""",
					    """runn""",
					    """##ing""",
					    """,""",
					    """low""",
					    """lowest""",
					]
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	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]		)		)

					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	[
					    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
					    for tokenizer_def in self.tokenizers_list
					]

			def UpperCamelCase__      (							self  :				List[str]							,  lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	"""UNwant\u00E9d,running"""
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	"""unwanted, running"""
					return input_text, output_text

			def UpperCamelCase__      (							self  :				Any		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.tokenizer_class(self.vocab_file		)

					__SCREAMING_SNAKE_CASE :	List[str]					 =	tokenizer.tokenize("""UNwant\u00E9d,running"""		)
					self.assertListEqual(lowerCAmelCase__							,  ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]		)
					self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__		)							,  [9, 6, 7, 1_2, 1_0, 1_1]		)

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					if not self.test_rust_tokenizer:
							return

					__SCREAMING_SNAKE_CASE :	str					 =	self.get_tokenizer()
					__SCREAMING_SNAKE_CASE :	str					 =	self.get_rust_tokenizer()

					__SCREAMING_SNAKE_CASE :	Any					 =	"""UNwant\u00E9d,running"""

					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer.tokenize(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	rust_tokenizer.tokenize(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	rust_tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Any					 =	self.get_rust_tokenizer()
					__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer.encode(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Any					 =	rust_tokenizer.encode(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					# With lower casing
					__SCREAMING_SNAKE_CASE :	str					 =	self.get_tokenizer(do_lower_case=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.get_rust_tokenizer(do_lower_case=lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	int					 =	"""UNwant\u00E9d,running"""

					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	tokenizer.tokenize(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Dict					 =	rust_tokenizer.tokenize(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	List[str]					 =	tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	str					 =	rust_tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	str					 =	self.get_rust_tokenizer()
					__SCREAMING_SNAKE_CASE :	str					 =	tokenizer.encode(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	int					 =	rust_tokenizer.encode(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				List[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[Any]					 =	BasicTokenizer()

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

			def UpperCamelCase__      (							self  :				List[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				Tuple		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Any					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__							,  strip_accents=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Dict					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__							,  strip_accents=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Dict					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				Any		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	int					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__							,  strip_accents=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__							,  strip_accents=lowerCAmelCase__		)

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

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[str]					 =	BasicTokenizer(do_lower_case=lowerCAmelCase__							,  never_split=["""[UNK]"""]		)

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

			def UpperCamelCase__      (							self  :				Optional[int]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[str]					 =	["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	{}
					for i, token in enumerate(lowerCAmelCase__		):
							__SCREAMING_SNAKE_CASE :	int					 =	i
					__SCREAMING_SNAKE_CASE :	Tuple					 =	WordpieceTokenizer(vocab=lowerCAmelCase__							,  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"""]		)

			def UpperCamelCase__      (							self  :				int		):





					"""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  :				List[str]		):





					"""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  :				Optional[Any]		):





					"""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(""" """		)		)

			def UpperCamelCase__      (							self  :				List[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.get_tokenizer()
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	self.get_rust_tokenizer()

					# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
					self.assertListEqual([tokenizer.tokenize(lowerCAmelCase__		) for t in ["""Test""", """\xad""", """test"""]]							,  [["""[UNK]"""], [], ["""[UNK]"""]]		)

					self.assertListEqual(
					    [rust_tokenizer.tokenize(lowerCAmelCase__		) for t in ["""Test""", """\xad""", """test"""]]							,  [["""[UNK]"""], [], ["""[UNK]"""]]		)

			@slow
			def UpperCamelCase__      (							self  :				int		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Tuple					 =	self.tokenizer_class.from_pretrained("""google/mobilebert-uncased"""		)

					__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer.encode("""sequence builders"""							,  add_special_tokens=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	List[str]					 =	tokenizer.encode("""multi-sequence build"""							,  add_special_tokens=lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	List[Any]					 =	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__							,  lowerCAmelCase__		)

					assert encoded_sentence == [1_0_1] + text + [1_0_2]
					assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]

			def UpperCamelCase__      (							self  :				Optional[int]		):





					"""simple docstring"""






					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
									__SCREAMING_SNAKE_CASE :	Any					 =	self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__							,  **lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	F"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
									__SCREAMING_SNAKE_CASE :	Tuple					 =	tokenizer_r.encode_plus(
									    lowerCAmelCase__							,  return_attention_mask=lowerCAmelCase__							,  return_token_type_ids=lowerCAmelCase__							,  return_offsets_mapping=lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__							,  )

									__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer_r.do_lower_case if hasattr(lowerCAmelCase__							,  """do_lower_case"""		) else False
									__SCREAMING_SNAKE_CASE :	Tuple					 =	(
									    [
									        ((0, 0), tokenizer_r.cls_token),
									        ((0, 1), """A"""),
									        ((1, 2), ""","""),
									        ((3, 5), """na"""),
									        ((5, 6), """##ï"""),
									        ((6, 8), """##ve"""),
									        ((9, 1_5), tokenizer_r.mask_token),
									        ((1_6, 2_1), """Allen"""),
									        ((2_1, 2_3), """##NL"""),
									        ((2_3, 2_4), """##P"""),
									        ((2_5, 3_3), """sentence"""),
									        ((3_3, 3_4), """."""),
									        ((0, 0), tokenizer_r.sep_token),
									    ]
									    if not do_lower_case
									    else [
									        ((0, 0), tokenizer_r.cls_token),
									        ((0, 1), """a"""),
									        ((1, 2), ""","""),
									        ((3, 8), """naive"""),
									        ((9, 1_5), tokenizer_r.mask_token),
									        ((1_6, 2_1), """allen"""),
									        ((2_1, 2_3), """##nl"""),
									        ((2_3, 2_4), """##p"""),
									        ((2_5, 3_3), """sentence"""),
									        ((3_3, 3_4), """."""),
									        ((0, 0), tokenizer_r.sep_token),
									    ]
									)

									self.assertEqual(
									    [e[1] for e in expected_results]							,  tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]		)		)
									self.assertEqual([e[0] for e in expected_results]							,  tokens["""offset_mapping"""]		)



			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	["""的""", """人""", """有"""]
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	"""""".join(lowerCAmelCase__		)
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
									__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	True
									__SCREAMING_SNAKE_CASE :	List[Any]					 =	self.tokenizer_class.from_pretrained(lowerCAmelCase__							,  **lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	List[str]					 =	self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__							,  **lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	Tuple					 =	tokenizer_p.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	Optional[int]					 =	tokenizer_r.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	Optional[int]					 =	tokenizer_r.convert_ids_to_tokens(lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	Tuple					 =	tokenizer_p.convert_ids_to_tokens(lowerCAmelCase__		)

									# it is expected that each Chinese character is not preceded by "##"
									self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)
									self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	List[str]					 =	False
									__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__							,  **lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	Tuple					 =	self.tokenizer_class.from_pretrained(lowerCAmelCase__							,  **lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer_r.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer_p.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)

									__SCREAMING_SNAKE_CASE :	Dict					 =	tokenizer_r.convert_ids_to_tokens(lowerCAmelCase__		)
									__SCREAMING_SNAKE_CASE :	List[Any]					 =	tokenizer_p.convert_ids_to_tokens(lowerCAmelCase__		)

									# it is expected that only the first Chinese character is not preceded by "##".
									__SCREAMING_SNAKE_CASE :	Any					 =	[
									    F"##{token}" if idx != 0 else token for idx, token in enumerate(lowerCAmelCase__		)
									]
									self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)
									self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)




'''simple docstring'''




import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase__ :			Any												=				'''▁'''

UpperCamelCase__ :			Dict												=				get_tests_dir('''fixtures/test_sentencepiece.model''')






@require_sentencepiece
class 		_UpperCamelCase						(							lowerCamelCase__					,      unittest.TestCase					):


			'''simple docstring'''

			_A   :	Dict    					=	BertGenerationTokenizer
			_A   :	List[Any]    					=	False
			_A   :	Union[str, Any]    					=	True

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					super().setUp()

					__SCREAMING_SNAKE_CASE :	Dict					 =	BertGenerationTokenizer(lowerCAmelCase__							,  keep_accents=lowerCAmelCase__		)
					tokenizer.save_pretrained(self.tmpdirname		)

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	int					 =	"""<s>"""
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase__		)							,  lowerCAmelCase__		)
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase__		)							,  lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Dict					 =	list(self.get_tokenizer().get_vocab().keys()		)

					self.assertEqual(vocab_keys[0]							,  """<unk>"""		)
					self.assertEqual(vocab_keys[1]							,  """<s>"""		)
					self.assertEqual(vocab_keys[-1]							,  """<pad>"""		)
					self.assertEqual(len(lowerCAmelCase__		)							,  1_0_0_2		)

			def UpperCamelCase__      (							self  :				Optional[int]		):





					"""simple docstring"""






					self.assertEqual(self.get_tokenizer().vocab_size							,  1_0_0_0		)

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	BertGenerationTokenizer(lowerCAmelCase__							,  keep_accents=lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer.tokenize("""This is a test"""		)
					self.assertListEqual(lowerCAmelCase__							,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]		)

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(lowerCAmelCase__		)							,  [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]							,  )

					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""		)
					self.assertListEqual(
					    lowerCAmelCase__							,  [
					        SPIECE_UNDERLINE + """I""",
					        SPIECE_UNDERLINE + """was""",
					        SPIECE_UNDERLINE + """b""",
					        """or""",
					        """n""",
					        SPIECE_UNDERLINE + """in""",
					        SPIECE_UNDERLINE + """""",
					        """9""",
					        """2""",
					        """0""",
					        """0""",
					        """0""",
					        """,""",
					        SPIECE_UNDERLINE + """and""",
					        SPIECE_UNDERLINE + """this""",
					        SPIECE_UNDERLINE + """is""",
					        SPIECE_UNDERLINE + """f""",
					        """al""",
					        """s""",
					        """é""",
					        """.""",
					    ]							,  )
					__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer.convert_tokens_to_ids(lowerCAmelCase__		)
					self.assertListEqual(
					    lowerCAmelCase__							,  [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]							,  )

					__SCREAMING_SNAKE_CASE :	Any					 =	tokenizer.convert_ids_to_tokens(lowerCAmelCase__		)
					self.assertListEqual(
					    lowerCAmelCase__							,  [
					        SPIECE_UNDERLINE + """I""",
					        SPIECE_UNDERLINE + """was""",
					        SPIECE_UNDERLINE + """b""",
					        """or""",
					        """n""",
					        SPIECE_UNDERLINE + """in""",
					        SPIECE_UNDERLINE + """""",
					        """<unk>""",
					        """2""",
					        """0""",
					        """0""",
					        """0""",
					        """,""",
					        SPIECE_UNDERLINE + """and""",
					        SPIECE_UNDERLINE + """this""",
					        SPIECE_UNDERLINE + """is""",
					        SPIECE_UNDERLINE + """f""",
					        """al""",
					        """s""",
					        """<unk>""",
					        """.""",
					    ]							,  )

			@cached_property
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					return BertGenerationTokenizer.from_pretrained("""google/bert_for_seq_generation_L-24_bbc_encoder"""		)

			@slow
			def UpperCamelCase__      (							self  :				Tuple		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Any					 =	"""Hello World!"""
					__SCREAMING_SNAKE_CASE :	Dict					 =	[1_8_5_3_6, 2_2_6_0, 1_0_1]

					self.assertListEqual(lowerCAmelCase__							,  self.big_tokenizer.encode(lowerCAmelCase__		)		)

			@slow
			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[Any]					 =	(
					    """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
					    """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
					)
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	[
					    8_7_1,
					    4_1_9,
					    3_5_8,
					    9_4_6,
					    9_9_1,
					    2_5_2_1,
					    4_5_2,
					    3_5_8,
					    1_3_5_7,
					    3_8_7,
					    7_7_5_1,
					    3_5_3_6,
					    1_1_2,
					    9_8_5,
					    4_5_6,
					    1_2_6,
					    8_6_5,
					    9_3_8,
					    5_4_0_0,
					    5_7_3_4,
					    4_5_8,
					    1_3_6_8,
					    4_6_7,
					    7_8_6,
					    2_4_6_2,
					    5_2_4_6,
					    1_1_5_9,
					    6_3_3,
					    8_6_5,
					    4_5_1_9,
					    4_5_7,
					    5_8_2,
					    8_5_2,
					    2_5_5_7,
					    4_2_7,
					    9_1_6,
					    5_0_8,
					    4_0_5,
					    3_4_3_2_4,
					    4_9_7,
					    3_9_1,
					    4_0_8,
					    1_1_3_4_2,
					    1_2_4_4,
					    3_8_5,
					    1_0_0,
					    9_3_8,
					    9_8_5,
					    4_5_6,
					    5_7_4,
					    3_6_2,
					    1_2_5_9_7,
					    3_2_0_0,
					    3_1_2_9,
					    1_1_7_2,
					]

					self.assertListEqual(lowerCAmelCase__							,  self.big_tokenizer.encode(lowerCAmelCase__		)		)

			@require_torch
			@slow
			def UpperCamelCase__      (							self  :				str		):





					"""simple docstring"""






					import torch

					from transformers import BertGenerationConfig, BertGenerationEncoder

					# Build sequence
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	list(self.big_tokenizer.get_vocab().keys()		)[:1_0]
					__SCREAMING_SNAKE_CASE :	int					 =	""" """.join(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.big_tokenizer.encode_plus(lowerCAmelCase__							,  return_tensors="""pt"""							,  return_token_type_ids=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	self.big_tokenizer.batch_encode_plus(
					    [sequence + """ """ + sequence]							,  return_tensors="""pt"""							,  return_token_type_ids=lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Tuple					 =	BertGenerationConfig()
					__SCREAMING_SNAKE_CASE :	Any					 =	BertGenerationEncoder(lowerCAmelCase__		)

					assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

					with torch.no_grad():
							model(**lowerCAmelCase__		)
							model(**lowerCAmelCase__		)



			@slow
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	{"""input_ids""": [[3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4], [4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
					# fmt: on

					self.tokenizer_integration_test_util(
					    expected_encoding=lowerCAmelCase__							,  model_name="""google/bert_for_seq_generation_L-24_bbc_encoder"""							,  revision="""c817d1fd1be2ffa69431227a1fe320544943d4db"""							,  )