



import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase__		:					Optional[int]							=get_tests_dir('''fixtures/spiece.model''')

@require_sentencepiece
@require_tokenizers
class        UpperCAmelCase_  (       UpperCamelCase_   ,   unittest.TestCase	):

						'''simple docstring'''




						UpperCamelCase__      :			Tuple      =  AlbertTokenizer
						UpperCamelCase__      :			Any      =  AlbertTokenizerFast
						UpperCamelCase__      :			Dict      =  True
						UpperCamelCase__      :			Optional[Any]      =  True
						UpperCamelCase__      :			str      =  True






						def 	_A     (   self		):







													'''simple docstring'''

													super().setUp()

													# We have a SentencePiece fixture for testing
													__SCREAMING_SNAKE_CASE									= AlbertTokenizer(lowercase_		)
													tokenizer.save_pretrained(self.tmpdirname		)






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= 'this is a test'
													__SCREAMING_SNAKE_CASE									= 'this is a test'
													return input_text, output_text






						def 	_A     (   self		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= '<pad>'
													__SCREAMING_SNAKE_CASE									= 0

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






						def 	_A     (   self		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= list(self.get_tokenizer().get_vocab().keys()		)

													self.assertEqual(vocab_keys[0]				,							'<pad>'		)
													self.assertEqual(vocab_keys[1]				,							'<unk>'		)
													self.assertEqual(vocab_keys[-1]				,							'▁eloquent'		)
													self.assertEqual(len(lowercase_		)				,							30_000		)






						def 	_A     (   self		):







													'''simple docstring'''

													self.assertEqual(self.get_tokenizer().vocab_size				,							30_000		)






						def 	_A     (   self		):







													'''simple docstring'''

													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(lowercase_		)
													__SCREAMING_SNAKE_CASE									= rust_tokenizer.tokenize(lowercase_		)
													self.assertListEqual(lowercase_				,							lowercase_		)

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

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






						def 	_A     (   self		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= AlbertTokenizer(lowercase_				,							keep_accents=lowercase_		)

													__SCREAMING_SNAKE_CASE									= tokenizer.tokenize('This is a test'		)
													self.assertListEqual(lowercase_				,							['▁this', '▁is', '▁a', '▁test']		)

													self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_		)				,							[48, 25, 21, 1_289]		)

													__SCREAMING_SNAKE_CASE									= tokenizer.tokenize('I was born in 92000, and this is falsé.'		)
													self.assertListEqual(
													    lowercase_				,							['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.']		)
													__SCREAMING_SNAKE_CASE									= tokenizer.convert_tokens_to_ids(lowercase_		)
													self.assertListEqual(lowercase_				,							[31, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]		)

													__SCREAMING_SNAKE_CASE									= tokenizer.convert_ids_to_tokens(lowercase_		)
													self.assertListEqual(
													    lowercase_				,							['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.']				,							)






						def 	_A     (   self		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= AlbertTokenizer(lowercase_		)

													__SCREAMING_SNAKE_CASE									= tokenizer.encode('sequence builders'		)
													__SCREAMING_SNAKE_CASE									= tokenizer.encode('multi-sequence build'		)

													__SCREAMING_SNAKE_CASE									= tokenizer.build_inputs_with_special_tokens(lowercase_		)
													__SCREAMING_SNAKE_CASE									= tokenizer.build_inputs_with_special_tokens(lowercase_				,							lowercase_		)

													assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
													assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
													    tokenizer.sep_token_id
													]






						@slow
						def 	_A     (   self		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= {'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, 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], [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, 0, 0, 0, 0, 0]], 'input_ids': [[2, 21_970, 13, 5, 6_092, 167, 28, 7_103, 2_153, 673, 8, 7_028, 12_051, 18, 17, 7_103, 2_153, 673, 8, 3_515, 18_684, 8, 4_461, 6, 1_927, 297, 8, 12_060, 2_607, 18, 13, 5, 4_461, 15, 10_538, 38, 8, 135, 15, 822, 58, 15, 993, 10_363, 15, 1_460, 8_005, 4_461, 15, 993, 255, 2_328, 9, 9, 9, 6, 26, 1_112, 816, 3_260, 13, 5, 103, 2_377, 6, 17, 1_112, 816, 2_782, 13, 5, 103, 10_641, 6, 29, 84, 2_512, 2_430, 782, 18_684, 2_761, 19, 808, 2_430, 2_556, 17, 855, 1_480, 9_477, 4_091, 128, 11_712, 15, 7_103, 2_153, 673, 17, 24_883, 9_990, 9, 3], [2, 11_502, 25, 1_006, 20, 782, 8, 11_809, 855, 1_732, 19_393, 18_667, 37, 367, 21_018, 69, 1_854, 34, 11_860, 19_124, 27, 156, 225, 17, 193, 4_141, 19, 65, 9_124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2_231, 886, 2_385, 17_659, 84, 14, 16_792, 1_952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=lowercase_				,							model_name='albert-base-v2'				,							revision='6b6560eaf5ff2e250b00c50f380c5389a9c2d82e'				,							)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__		:					List[str]							={
    '''configuration_timesformer''': ['''TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TimesformerConfig'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__		:					List[str]							=[
			    '''TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''TimesformerModel''',
			    '''TimesformerForVideoClassification''',
			    '''TimesformerPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_timesformer import (
						    TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TimesformerForVideoClassification,
						    TimesformerModel,
						    TimesformerPreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase__		:					Union[str, Any]							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






