
"""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


__magic_name__			=     "▁"

__magic_name__			=     get_tests_dir("fixtures/test_sentencepiece.model")
@require_sentencepiece
@require_tokenizers
class 		SCREAMING_SNAKE_CASE_					(		_SCREAMING_SNAKE_CASE	,							unittest.TestCase					):




		"""simple docstring"""





		__lowercase				:    List[str]		  =						BigBirdTokenizer
		__lowercase				:    List[str]		  =						BigBirdTokenizerFast
		__lowercase				:    str		  =						True
		__lowercase				:    int		  =						True




		def       snake_case_	(	self):
				super().setUp()

				__SCREAMING_SNAKE_CASE				=					self.tokenizer_class(lowerCAmelCase_				,    keep_accents=lowerCAmelCase_)
				tokenizer.save_pretrained(self.tmpdirname)




		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					"""<s>"""
				__SCREAMING_SNAKE_CASE				=					1

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




		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					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_)				,    1_0_0_4)




		def       snake_case_	(	self):
				self.assertEqual(self.get_tokenizer().vocab_size				,    1_0_0_0)




		def       snake_case_	(	self):
				if not self.test_rust_tokenizer:
						return

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

				__SCREAMING_SNAKE_CASE				=					"""I was born in 92000, and this is falsé."""

				__SCREAMING_SNAKE_CASE				=					tokenizer.tokenize(lowerCAmelCase_)
				__SCREAMING_SNAKE_CASE				=					rust_tokenizer.tokenize(lowerCAmelCase_)
				self.assertListEqual(lowerCAmelCase_				,    lowerCAmelCase_)

				__SCREAMING_SNAKE_CASE				=					tokenizer.encode(lowerCAmelCase_				,    add_special_tokens=lowerCAmelCase_)
				__SCREAMING_SNAKE_CASE				=					rust_tokenizer.encode(lowerCAmelCase_				,    add_special_tokens=lowerCAmelCase_)
				self.assertListEqual(lowerCAmelCase_				,    lowerCAmelCase_)

				__SCREAMING_SNAKE_CASE				=					self.get_rust_tokenizer()
				__SCREAMING_SNAKE_CASE				=					tokenizer.encode(lowerCAmelCase_)
				__SCREAMING_SNAKE_CASE				=					rust_tokenizer.encode(lowerCAmelCase_)
				self.assertListEqual(lowerCAmelCase_				,    lowerCAmelCase_)




		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					BigBirdTokenizer(lowerCAmelCase_				,    keep_accents=lowerCAmelCase_)

				__SCREAMING_SNAKE_CASE				=					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				=					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				=					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				=					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       snake_case_	(	self):
				return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base""")




		@slow
		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					"""Hello World!"""
				__SCREAMING_SNAKE_CASE				=					[6_5, 1_8_5_3_6, 2_2_6_0, 1_0_1, 6_6]

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




		@slow
		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					(
				    """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				=					[6_5, 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, 6_6]  # noqa: E231
				# fmt: on
				self.assertListEqual(lowerCAmelCase_				,    self.big_tokenizer.encode(lowerCAmelCase_))




		@require_torch
		@slow
		def       snake_case_	(	self):
				import torch

				from transformers import BigBirdConfig, BigBirdModel

				# Build sequence
				__SCREAMING_SNAKE_CASE				=					list(self.big_tokenizer.get_vocab().keys())[:1_0]
				__SCREAMING_SNAKE_CASE				=					""" """.join(lowerCAmelCase_)
				__SCREAMING_SNAKE_CASE				=					self.big_tokenizer.encode_plus(lowerCAmelCase_				,    return_tensors="""pt"""				,    return_token_type_ids=lowerCAmelCase_)
				__SCREAMING_SNAKE_CASE				=					self.big_tokenizer.batch_encode_plus(
				    [sequence + """ """ + sequence]				,    return_tensors="""pt"""				,    return_token_type_ids=lowerCAmelCase_)

				__SCREAMING_SNAKE_CASE				=					BigBirdConfig(attention_type="""original_full""")
				__SCREAMING_SNAKE_CASE				=					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       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base""")
				__SCREAMING_SNAKE_CASE				=					tokenizer.decode(tokenizer("""Paris is the [MASK].""").input_ids)

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




		@slow
		def       snake_case_	(	self):
				# fmt: off
				__SCREAMING_SNAKE_CASE				=					{"""input_ids""": [[6_5, 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, 6_6], [6_5, 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, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6_5, 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, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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"""				,    )












"""simple docstring"""
_lowerCAmelCase       =				[
    "Audio",
    "Array2D",
    "Array3D",
    "Array4D",
    "Array5D",
    "ClassLabel",
    "Features",
    "Sequence",
    "Value",
    "Image",
    "Translation",
    "TranslationVariableLanguages",
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages

