"""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


__lowerCamelCase											=  "▁"

__lowerCamelCase											=  get_tests_dir("fixtures/test_sentencepiece.model")
@require_sentencepiece
@require_tokenizers
class     UpperCamelCase__(			__a		,						unittest.TestCase ):
						lowerCAmelCase__  :						Dict													=		BigBirdTokenizer
						lowerCAmelCase__  :						Optional[int]													=		BigBirdTokenizerFast
						lowerCAmelCase__  :						Dict													=		True
						lowerCAmelCase__  :						str													=		True





						def 				snake_case__	(       self     )					->				str:
													super().setUp()

													A__	     =							self.tokenizer_class(a_		,keep_accents=a_     )
													tokenizer.save_pretrained(self.tmpdirname     )





						def 				snake_case__	(       self     )					->				List[str]:
													A__	     =							"""<s>"""
													A__	     =							1

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





						def 				snake_case__	(       self     )					->				List[str]:
													A__	     =							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(a_     )		,10_04     )





						def 				snake_case__	(       self     )					->				Optional[Any]:
													self.assertEqual(self.get_tokenizer().vocab_size		,10_00     )





						def 				snake_case__	(       self     )					->				Optional[int]:



													if not self.test_rust_tokenizer:
																				return

													A__	     =							self.get_tokenizer()
													A__	     =							self.get_rust_tokenizer()

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

													A__	     =							tokenizer.tokenize(a_     )
													A__	     =							rust_tokenizer.tokenize(a_     )
													self.assertListEqual(a_		,a_     )

													A__	     =							tokenizer.encode(a_		,add_special_tokens=a_     )
													A__	     =							rust_tokenizer.encode(a_		,add_special_tokens=a_     )
													self.assertListEqual(a_		,a_     )

													A__	     =							self.get_rust_tokenizer()
													A__	     =							tokenizer.encode(a_     )
													A__	     =							rust_tokenizer.encode(a_     )
													self.assertListEqual(a_		,a_     )





						def 				snake_case__	(       self     )					->				List[str]:
													A__	     =							BigBirdTokenizer(a_		,keep_accents=a_     )

													A__	     =							tokenizer.tokenize('This is a test'     )
													self.assertListEqual(a_		,['▁This', '▁is', '▁a', '▁t', 'est']     )

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

													A__	     =							tokenizer.tokenize('I was born in 92000, and this is falsé.'     )
													self.assertListEqual(
													    a_		,[
													        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',
													        '.',
													    ]		,)
													A__	     =							tokenizer.convert_tokens_to_ids(a_     )
													self.assertListEqual(
													    a_		,[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]		,)

													A__	     =							tokenizer.convert_ids_to_tokens(a_     )
													self.assertListEqual(
													    a_		,[
													        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     )					->				Any:
													return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'     )





						@slow
						def 				snake_case__	(       self     )					->				int:
													A__	     =							"""Hello World!"""
													A__	     =							[65, 1_85_36, 22_60, 1_01, 66]

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





						@slow
						def 				snake_case__	(       self     )					->				Any:
													A__	     =							(
													    """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
													A__	     =							[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(a_		,self.big_tokenizer.encode(a_     )     )





						@require_torch
						@slow
						def 				snake_case__	(       self     )					->				Any:
													import torch

													from transformers import BigBirdConfig, BigBirdModel

													# Build sequence
													A__	     =							list(self.big_tokenizer.get_vocab().keys()     )[:10]
													A__	     =							""" """.join(a_     )
													A__	     =							self.big_tokenizer.encode_plus(a_		,return_tensors='pt'		,return_token_type_ids=a_     )
													A__	     =							self.big_tokenizer.batch_encode_plus(
													    [sequence + ' ' + sequence]		,return_tensors='pt'		,return_token_type_ids=a_     )

													A__	     =							BigBirdConfig(attention_type='original_full'     )
													A__	     =							BigBirdModel(a_     )

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

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





						@slow
						def 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'     )
													A__	     =							tokenizer.decode(tokenizer('Paris is the [MASK].'     ).input_ids     )

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





						@slow
						def 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							{"""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=a_		,model_name='google/bigbird-roberta-base'		,revision='215c99f1600e06f83acce68422f2035b2b5c3510'		,)






"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class     UpperCamelCase__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						Optional[int]													=		CpmAntTokenizer
						lowerCAmelCase__  :						List[str]													=		False





						def 				snake_case__	(       self     )					->				Dict:
													super().setUp()

													A__	     =							[
													    '<d>',
													    '</d>',
													    '<s>',
													    '</s>',
													    '</_>',
													    '<unk>',
													    '<pad>',
													    '</n>',
													    '我',
													    '是',
													    'C',
													    'P',
													    'M',
													    'A',
													    'n',
													    't',
													]
													A__	     =							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]     )     )





						@tooslow
						def 				snake_case__	(       self     )					->				List[Any]:
													A__	     =							CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b'     )
													A__	     =							'今天天气真好！'
													A__	     =							['今天', '天气', '真', '好', '！']
													A__	     =							tokenizer.tokenize(__UpperCAmelCase     )
													self.assertListEqual(__UpperCAmelCase		,__UpperCAmelCase     )
													A__	     =							'今天天气真好！'
													A__	     =							[tokenizer.bos_token] + tokens

													A__	     =							[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )		,__UpperCAmelCase     )

													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,__UpperCAmelCase     )





