


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


snake_case    :   int	    =					'''▁'''

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







@require_sentencepiece
@require_tokenizers
class 		_snake_case  (				_snake_case						,   unittest.TestCase							):
 SCREAMING_SNAKE_CASE__				=	BigBirdTokenizer
 SCREAMING_SNAKE_CASE__				=	BigBirdTokenizerFast
 SCREAMING_SNAKE_CASE__				=	True
 SCREAMING_SNAKE_CASE__				=	True




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

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




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:int										=	'''<s>'''
       a						:Tuple										=	1

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




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[str]										=	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   ) ,  1004   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       self.assertEqual(self.get_tokenizer().vocab_size ,  1000   )




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

       a						:Optional[int]										=	self.get_tokenizer()
       a						:List[Any]										=	self.get_rust_tokenizer()

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

       a						:List[Any]										=	tokenizer.tokenize(_lowerCamelCase   )
       a						:int										=	rust_tokenizer.tokenize(_lowerCamelCase   )
       self.assertListEqual(_lowerCamelCase ,  _lowerCamelCase   )

       a						:Dict										=	tokenizer.encode(_lowerCamelCase ,  add_special_tokens=_lowerCamelCase   )
       a						:Union[str, Any]										=	rust_tokenizer.encode(_lowerCamelCase ,  add_special_tokens=_lowerCamelCase   )
       self.assertListEqual(_lowerCamelCase ,  _lowerCamelCase   )

       a						:str										=	self.get_rust_tokenizer()
       a						:Optional[int]										=	tokenizer.encode(_lowerCamelCase   )
       a						:Any										=	rust_tokenizer.encode(_lowerCamelCase   )
       self.assertListEqual(_lowerCamelCase ,  _lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Union[str, Any]										=	BigBirdTokenizer(_lowerCamelCase ,  keep_accents=_lowerCamelCase   )

       a						:Union[str, Any]										=	tokenizer.tokenize('''This is a test'''   )
       self.assertListEqual(_lowerCamelCase ,  ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

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

       a						:Union[str, 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''',
               '''.''',
           ] ,  )
       a						:Tuple										=	tokenizer.convert_tokens_to_ids(_lowerCamelCase   )
       self.assertListEqual(
           _lowerCamelCase ,  [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,  )

       a						:List[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 	SCREAMING_SNAKE_CASE__    (		self   ):
       return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''   )




 @slow
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Dict										=	'''Hello World!'''
       a						:List[Any]										=	[65, 1_8536, 2260, 101, 66]

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




 @slow
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[str]										=	(
           '''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						:List[Any]										=	[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(_lowerCamelCase ,  self.big_tokenizer.encode(_lowerCamelCase   )   )




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

       from transformers import BigBirdConfig, BigBirdModel

       # Build sequence
       a						:Dict										=	list(self.big_tokenizer.get_vocab().keys()   )[:10]
       a						:List[str]										=	''' '''.join(_lowerCamelCase   )
       a						:Optional[int]										=	self.big_tokenizer.encode_plus(_lowerCamelCase ,  return_tensors='''pt''' ,  return_token_type_ids=_lowerCamelCase   )
       a						:Optional[int]										=	self.big_tokenizer.batch_encode_plus(
           [sequence + ''' ''' + sequence] ,  return_tensors='''pt''' ,  return_token_type_ids=_lowerCamelCase   )

       a						:str										=	BigBirdConfig(attention_type='''original_full'''   )
       a						: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 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Optional[Any]										=	BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''   )
       a						:Optional[int]										=	tokenizer.decode(tokenizer('''Paris is the [MASK].'''   ).input_ids   )

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




 @slow
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       # fmt: off
       a						:List[Any]										=	{'''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=_lowerCamelCase ,  model_name='''google/bigbird-roberta-base''' ,  revision='''215c99f1600e06f83acce68422f2035b2b5c3510''' ,  )









import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case    :   Any	    =					pytest.mark.integration
@pytest.mark.parametrize('''path'''			,  ['''paws''', '''csv''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Optional[Any]						):




      """simple docstring"""





      inspect_dataset(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:List[Any]										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''						)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''						)
@pytest.mark.parametrize('''path'''			,  ['''accuracy''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		Any						):




      """simple docstring"""





      inspect_metric(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:Dict										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
      assert info.config_name == config_name
      assert list(info.splits.keys()						) == expected_splits
@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str			,  UpperCAmelCase_						:		Tuple						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, expected'''			,  [
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		int						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_names(UpperCAmelCase_						)
      assert expected in config_names
@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''			,  [
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Optional[int]										=	get_dataset_infos(UpperCAmelCase_						)
      assert list(infos.keys()						) == expected_configs
      a						:Union[str, Any]										=	expected_configs[0]
      assert expected_config in infos
      a						:List[Any]										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits_in_first_config
@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Any			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Union[str, Any]										=	get_dataset_infos(UpperCAmelCase_						)
      assert expected_config in infos
      a						:int										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits






@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Union[str, Any]			,  UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_split_names(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)





