


'''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        lowerCAmelCase_  (     UpperCAmelCase      ,							unittest.TestCase	):
       __UpperCAmelCase					=BigBirdTokenizer
       __UpperCAmelCase					=BigBirdTokenizerFast
       __UpperCAmelCase					=True
       __UpperCAmelCase					=True






       def   UpperCamelCase						( self   )->      Union[str, Any]:
            super().setUp()

            _A				=							self.tokenizer_class(_UpperCamelCase			,     keep_accents=_UpperCamelCase   )
            tokenizer.save_pretrained(self.tmpdirname   )






       def   UpperCamelCase						( self   )->      str:
            _A				=							'<s>'
            _A				=							1

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






       def   UpperCamelCase						( self   )->      int:
            _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(_UpperCamelCase   )			,     1004   )






       def   UpperCamelCase						( self   )->      Optional[int]:
            self.assertEqual(self.get_tokenizer().vocab_size			,     1000   )






       def   UpperCamelCase						( self   )->      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(_UpperCamelCase   )
            _A				=							rust_tokenizer.tokenize(_UpperCamelCase   )
            self.assertListEqual(_UpperCamelCase			,     _UpperCamelCase   )

            _A				=							tokenizer.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )
            _A				=							rust_tokenizer.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )
            self.assertListEqual(_UpperCamelCase			,     _UpperCamelCase   )

            _A				=							self.get_rust_tokenizer()
            _A				=							tokenizer.encode(_UpperCamelCase   )
            _A				=							rust_tokenizer.encode(_UpperCamelCase   )
            self.assertListEqual(_UpperCamelCase			,     _UpperCamelCase   )






       def   UpperCamelCase						( self   )->      Dict:
            _A				=							BigBirdTokenizer(_UpperCamelCase			,     keep_accents=_UpperCamelCase   )

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

            self.assertListEqual(
                tokenizer.convert_tokens_to_ids(_UpperCamelCase   )			,     [285, 46, 10, 170, 382]			,     )

            _A				=							tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
            self.assertListEqual(
                _UpperCamelCase			,     [
                    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(_UpperCamelCase   )
            self.assertListEqual(
                _UpperCamelCase			,     [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]			,     )

            _A				=							tokenizer.convert_ids_to_tokens(_UpperCamelCase   )
            self.assertListEqual(
                _UpperCamelCase			,     [
                    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   )->      int:
            return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'   )






       @slow
       def   UpperCamelCase						( self   )->      int:
            _A				=							'Hello World!'
            _A				=							[65, 1_8536, 2260, 101, 66]

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






       @slow
       def   UpperCamelCase						( self   )->      str:
            _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, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
            # fmt: on
            self.assertListEqual(_UpperCamelCase			,     self.big_tokenizer.encode(_UpperCamelCase   )   )






       @require_torch
       @slow
       def   UpperCamelCase						( self   )->      List[str]:
            import torch

            from transformers import BigBirdConfig, BigBirdModel

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

            _A				=							BigBirdConfig(attention_type='original_full'   )
            _A				=							BigBirdModel(_UpperCamelCase   )

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

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






       @slow
       def   UpperCamelCase						( self   )->      List[str]:
            _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   UpperCamelCase						( self   )->      Optional[Any]:
            # fmt: off
            _A				=							{'input_ids': [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 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, 484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 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=_UpperCamelCase			,     model_name='google/bigbird-roberta-base'			,     revision='215c99f1600e06f83acce68422f2035b2b5c3510'			,     )









'''simple docstring'''
from statistics import mean, stdev

def 					lowerCamelCase_ ( __UpperCamelCase					:       list							,    __UpperCamelCase					:       int = 3		)					->	list:







     """simple docstring"""
     _A				=							min(__UpperCamelCase		)
     _A				=							max(__UpperCamelCase		)
     # normalize data
     return [round((x - x_min) / (x_max - x_min)							,    __UpperCamelCase		) for x in data]

def 					lowerCamelCase_ ( __UpperCamelCase					:       list							,    __UpperCamelCase					:       int = 3		)					->	list:







     """simple docstring"""
     _A				=							mean(__UpperCamelCase		)
     _A				=							stdev(__UpperCamelCase		)
     # standardize data
     return [round((x - mu) / (sigma)							,    __UpperCamelCase		) for x in data]





