





'''simple docstring'''




import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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__					(					lowercase_						,					unittest.TestCase			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	RoCBertTokenizer
					SCREAMING_SNAKE_CASE__				=	None
					SCREAMING_SNAKE_CASE__				=	False
					SCREAMING_SNAKE_CASE__				=	True
					SCREAMING_SNAKE_CASE__				=	filter_non_english


					def lowerCamelCase_			(						self				:			Tuple						):

							'''simple docstring'''



							super().setUp()

							SCREAMING_SNAKE_CASE :				List[Any]		=			["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			{}
							SCREAMING_SNAKE_CASE :				str		=			{}
							for i, value in enumerate(lowerCamelCase_						):
									SCREAMING_SNAKE_CASE :				str		=			i
									SCREAMING_SNAKE_CASE :				Tuple		=			i
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""vocab_file"""]						)
							SCREAMING_SNAKE_CASE :				str		=			os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_shape_file"""]						)
							SCREAMING_SNAKE_CASE :				Tuple		=			os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES["""word_pronunciation_file"""]						)
							with open(self.vocab_file      ,						"""w"""      ,						encoding="""utf-8"""						) as vocab_writer:
									vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)
							with open(self.word_shape_file      ,						"""w"""      ,						encoding="""utf-8"""						) as word_shape_writer:
									json.dump(lowerCamelCase_      ,						lowerCamelCase_      ,						ensure_ascii=lowerCamelCase_						)
							with open(self.word_pronunciation_file      ,						"""w"""      ,						encoding="""utf-8"""						) as word_pronunciation_writer:
									json.dump(lowerCamelCase_      ,						lowerCamelCase_      ,						ensure_ascii=lowerCamelCase_						)


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file						)

							SCREAMING_SNAKE_CASE :				Any		=			tokenizer.tokenize("""你好[SEP]你是谁"""						)
							self.assertListEqual(lowerCamelCase_      ,						["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]						)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_						)      ,						[5, 6, 2, 5, 7, 8]						)
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowerCamelCase_						)      ,						[5, 6, 2, 5, 7, 8]						)
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase_						)      ,						[5, 6, 2, 5, 7, 8]						)


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			RoCBertBasicTokenizer()

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


					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			RoCBertBasicTokenizer(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 lowerCamelCase_			(						self				:			Tuple						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			RoCBertBasicTokenizer(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 lowerCamelCase_			(						self				:			Any						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[Any]		=			RoCBertBasicTokenizer(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 lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			RoCBertBasicTokenizer(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 lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[Any]		=			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase_						)

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


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase_      ,						strip_accents=lowerCamelCase_						)

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


					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Any		=			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase_      ,						strip_accents=lowerCamelCase_						)

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


					def lowerCamelCase_			(						self				:			Any						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				int		=			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase_      ,						never_split=["""[UNK]"""]						)

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


					def lowerCamelCase_			(						self				:			Optional[int]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

							SCREAMING_SNAKE_CASE :				Optional[int]		=			{}
							for i, token in enumerate(lowerCamelCase_						):
									SCREAMING_SNAKE_CASE :				Dict		=			i
							SCREAMING_SNAKE_CASE :				Any		=			RoCBertWordpieceTokenizer(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 lowerCamelCase_			(						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 lowerCamelCase_			(						self				:			Any						):

							'''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 lowerCamelCase_			(						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 lowerCamelCase_			(						self				:			Dict						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Tuple		=			self.get_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]"""]]						)

							if self.test_rust_tokenizer:
									SCREAMING_SNAKE_CASE :				Optional[int]		=			self.get_rust_tokenizer()
									self.assertListEqual(
									    [rust_tokenizer.tokenize(lowerCamelCase_						) for t in ["""Test""", """\xad""", """test"""]]      ,						[["""[UNK]"""], [], ["""[UNK]"""]]						)


					def lowerCamelCase_			(						self				:			Any						):

							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
											SCREAMING_SNAKE_CASE :				List[Any]		=			self.rust_tokenizer_class.from_pretrained(lowerCamelCase_      ,						**lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				Any		=			f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
											SCREAMING_SNAKE_CASE :				str		=			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[int]		=			tokenizer_r.do_lower_case if hasattr(lowerCamelCase_      ,						"""do_lower_case"""						) else False
											SCREAMING_SNAKE_CASE :				List[str]		=			(
											    [
											        ((0, 0), tokenizer_r.cls_token),
											        ((0, 1), """A"""),
											        ((1, 2), ""","""),
											        ((3, 5), """na"""),
											        ((5, 6), """##ï"""),
											        ((6, 8), """##ve"""),
											        ((9, 15), tokenizer_r.mask_token),
											        ((16, 21), """Allen"""),
											        ((21, 23), """##NL"""),
											        ((23, 24), """##P"""),
											        ((25, 33), """sentence"""),
											        ((33, 34), """."""),
											        ((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, 15), tokenizer_r.mask_token),
											        ((16, 21), """allen"""),
											        ((21, 23), """##nl"""),
											        ((23, 24), """##p"""),
											        ((25, 33), """sentence"""),
											        ((33, 34), """."""),
											        ((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 lowerCamelCase_			(						self				:			Dict						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			["""的""", """人""", """有"""]
							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			"""""".join(lowerCamelCase_						)
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
											SCREAMING_SNAKE_CASE :				Dict		=			True
											SCREAMING_SNAKE_CASE :				Optional[int]		=			self.tokenizer_class.from_pretrained(lowerCamelCase_      ,						**lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Union[str, Any]		=			self.rust_tokenizer_class.from_pretrained(lowerCamelCase_      ,						**lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer_p.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Optional[Any]		=			tokenizer_r.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer_r.convert_ids_to_tokens(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Optional[Any]		=			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 :				Dict		=			False
											SCREAMING_SNAKE_CASE :				Optional[Any]		=			self.rust_tokenizer_class.from_pretrained(lowerCamelCase_      ,						**lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Dict		=			self.tokenizer_class.from_pretrained(lowerCamelCase_      ,						**lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				Optional[Any]		=			tokenizer_r.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer_p.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				List[str]		=			tokenizer_r.convert_ids_to_tokens(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer_p.convert_ids_to_tokens(lowerCamelCase_						)

											# it is expected that only the first Chinese character is not preceded by "##".
											SCREAMING_SNAKE_CASE :				Tuple		=			[
											    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(lowerCamelCase_						)
											]
											self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)
											self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)


					@slow
					def lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			self.tokenizer_class(self.vocab_file      ,						self.word_shape_file      ,						self.word_pronunciation_file						)

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			tokenizer.encode("""你好"""      ,						add_special_tokens=lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer.encode("""你是谁"""      ,						add_special_tokens=lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			tokenizer.build_inputs_with_special_tokens(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer.build_inputs_with_special_tokens(lowerCamelCase_      ,						lowerCamelCase_						)

							assert encoded_sentence == [1] + text + [2]
							assert encoded_pair == [1] + text + [2] + text_a + [2]



					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			self.get_tokenizers(do_lower_case=lowerCamelCase_						)
							for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
											SCREAMING_SNAKE_CASE :				Any		=			"""你好，你是谁"""
											SCREAMING_SNAKE_CASE :				Union[str, Any]		=			tokenizer.tokenize(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer.convert_tokens_to_ids(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Dict		=			tokenizer.convert_tokens_to_shape_ids(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Any		=			tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase_						)
											SCREAMING_SNAKE_CASE :				Dict		=			tokenizer.prepare_for_model(
											    lowerCamelCase_      ,						lowerCamelCase_      ,						lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)

											SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer.encode_plus(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)

											self.assertEqual(lowerCamelCase_      ,						lowerCamelCase_						)










'''simple docstring'''




import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCAmelCase            =       """▁"""

__UpperCAmelCase            =       get_tests_dir("""fixtures/test_sentencepiece.model""")




@require_sentencepiece
@require_tokenizers
class      UpperCamelCase__					(					lowercase_						,					unittest.TestCase			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	BigBirdTokenizer
					SCREAMING_SNAKE_CASE__				=	BigBirdTokenizerFast
					SCREAMING_SNAKE_CASE__				=	True
					SCREAMING_SNAKE_CASE__				=	True


					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							super().setUp()

							SCREAMING_SNAKE_CASE :				List[Any]		=			self.tokenizer_class(lowerCamelCase_      ,						keep_accents=lowerCamelCase_						)
							tokenizer.save_pretrained(self.tmpdirname						)


					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Union[str, Any]		=			"""<s>"""
							SCREAMING_SNAKE_CASE :				str		=			1

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


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[Any]		=			list(self.get_tokenizer().get_vocab().keys()						)

							self.assertEqual(vocab_keys[0]      ,						"""<unk>"""						)
							self.assertEqual(vocab_keys[1]      ,						"""<s>"""						)
							self.assertEqual(vocab_keys[-1]      ,						"""[MASK]"""						)
							self.assertEqual(len(lowerCamelCase_						)      ,						10_04						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							self.assertEqual(self.get_tokenizer().vocab_size      ,						10_00						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							if not self.test_rust_tokenizer:
									return

							SCREAMING_SNAKE_CASE :				List[Any]		=			self.get_tokenizer()
							SCREAMING_SNAKE_CASE :				str		=			self.get_rust_tokenizer()

							SCREAMING_SNAKE_CASE :				Optional[Any]		=			"""I was born in 92000, and this is falsé."""

							SCREAMING_SNAKE_CASE :				Tuple		=			tokenizer.tokenize(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			rust_tokenizer.tokenize(lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				int		=			tokenizer.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			rust_tokenizer.encode(lowerCamelCase_      ,						add_special_tokens=lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				List[str]		=			self.get_rust_tokenizer()
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			tokenizer.encode(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			rust_tokenizer.encode(lowerCamelCase_						)
							self.assertListEqual(lowerCamelCase_      ,						lowerCamelCase_						)


					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				int		=			BigBirdTokenizer(lowerCamelCase_      ,						keep_accents=lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				int		=			tokenizer.tokenize("""This is a test"""						)
							self.assertListEqual(lowerCamelCase_      ,						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]						)

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(lowerCamelCase_						)      ,						[2_85, 46, 10, 1_70, 3_82]      ,						)

							SCREAMING_SNAKE_CASE :				List[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 :				int		=			tokenizer.convert_tokens_to_ids(lowerCamelCase_						)
							self.assertListEqual(
							    lowerCamelCase_      ,						[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,						)

							SCREAMING_SNAKE_CASE :				int		=			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 lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""						)


					@slow
					def lowerCamelCase_			(						self				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[str]		=			"""Hello World!"""
							SCREAMING_SNAKE_CASE :				Tuple		=			[65, 1_85_36, 22_60, 1_01, 66]

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


					@slow
					def lowerCamelCase_			(						self				:			Dict						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			(
							    """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"""
							)
							# fmt: off
							SCREAMING_SNAKE_CASE :				Dict		=			[65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
							# fmt: on
							self.assertListEqual(lowerCamelCase_      ,						self.big_tokenizer.encode(lowerCamelCase_						)						)


					@require_torch
					@slow
					def lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							import torch

							from transformers import BigBirdConfig, BigBirdModel

							# Build sequence
							SCREAMING_SNAKE_CASE :				int		=			list(self.big_tokenizer.get_vocab().keys()						)[:10]
							SCREAMING_SNAKE_CASE :				List[str]		=			""" """.join(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				int		=			self.big_tokenizer.encode_plus(lowerCamelCase_      ,						return_tensors="""pt"""      ,						return_token_type_ids=lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				Any		=			self.big_tokenizer.batch_encode_plus(
							    [sequence + """ """ + sequence]      ,						return_tensors="""pt"""      ,						return_token_type_ids=lowerCamelCase_						)

							SCREAMING_SNAKE_CASE :				Dict		=			BigBirdConfig(attention_type="""original_full"""						)
							SCREAMING_SNAKE_CASE :				Tuple		=			BigBirdModel(lowerCamelCase_						)

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

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


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

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			tokenizer.decode(tokenizer("""Paris is the [MASK]."""						).input_ids						)

							self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""						)



					@slow
					def lowerCamelCase_			(						self				:			str						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[int]		=			{"""input_ids""": [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 66, 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], [65, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 66, 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, 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, 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/bigbird-roberta-base"""      ,						revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""      ,						)



