


"""simple docstring"""







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


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




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

	"""simple docstring"""





	snake_case__       :						Optional[int]					      =    AlbertTokenizer
	snake_case__       :						Dict					      =    AlbertTokenizerFast
	snake_case__       :						List[str]					      =    True
	snake_case__       :						Optional[int]					      =    True
	snake_case__       :						Union[str, Any]					      =    True




	def 						UpperCAmelCase_   (				self    :       Optional[int]     ) ->			Tuple:
						super().setUp()

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




	def 						UpperCAmelCase_   (				self    :       Tuple    ,    UpperCAmelCase__    :       int     ) ->			Tuple:
						__SCREAMING_SNAKE_CASE		     =       "this is a test"
						__SCREAMING_SNAKE_CASE		     =       "this is a test"
						return input_text, output_text




	def 						UpperCAmelCase_   (				self    :       Optional[Any]     ) ->			Union[str, Any]:
						__SCREAMING_SNAKE_CASE		     =       "<pad>"
						__SCREAMING_SNAKE_CASE		     =       0

						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    :       List[str]     ) ->			Tuple:
						__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(UpperCAmelCase__     )    ,    3_0_0_0_0     )




	def 						UpperCAmelCase_   (				self    :       int     ) ->			int:
						self.assertEqual(self.get_tokenizer().vocab_size    ,    3_0_0_0_0     )




	def 						UpperCAmelCase_   (				self    :       int     ) ->			Tuple:
						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(UpperCAmelCase__     )
						__SCREAMING_SNAKE_CASE		     =       rust_tokenizer.tokenize(UpperCAmelCase__     )
						self.assertListEqual(UpperCAmelCase__    ,    UpperCAmelCase__     )

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

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




	def 						UpperCAmelCase_   (				self    :       List[Any]     ) ->			List[Any]:
						__SCREAMING_SNAKE_CASE		     =       AlbertTokenizer(UpperCAmelCase__    ,    keep_accents=UpperCAmelCase__     )

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

						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__     )    ,    [4_8, 2_5, 2_1, 1_2_8_9]     )

						__SCREAMING_SNAKE_CASE		     =       tokenizer.tokenize("I was born in 92000, and this is falsé."     )
						self.assertListEqual(
						    UpperCAmelCase__    ,    ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."]     )
						__SCREAMING_SNAKE_CASE		     =       tokenizer.convert_tokens_to_ids(UpperCAmelCase__     )
						self.assertListEqual(UpperCAmelCase__    ,    [3_1, 2_3, 3_8_6, 1_9, 5_6_1, 3_0_5_0, 1_5, 1_7, 4_8, 2_5, 8_2_5_6, 1_8, 1, 9]     )

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




	def 						UpperCAmelCase_   (				self    :       int     ) ->			int:
						__SCREAMING_SNAKE_CASE		     =       AlbertTokenizer(UpperCAmelCase__     )

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

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

						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 						UpperCAmelCase_   (				self    :       Optional[int]     ) ->			Tuple:
						# fmt: off
						__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, 2_1_9_7_0, 1_3, 5, 6_0_9_2, 1_6_7, 2_8, 7_1_0_3, 2_1_5_3, 6_7_3, 8, 7_0_2_8, 1_2_0_5_1, 1_8, 1_7, 7_1_0_3, 2_1_5_3, 6_7_3, 8, 3_5_1_5, 1_8_6_8_4, 8, 4_4_6_1, 6, 1_9_2_7, 2_9_7, 8, 1_2_0_6_0, 2_6_0_7, 1_8, 1_3, 5, 4_4_6_1, 1_5, 1_0_5_3_8, 3_8, 8, 1_3_5, 1_5, 8_2_2, 5_8, 1_5, 9_9_3, 1_0_3_6_3, 1_5, 1_4_6_0, 8_0_0_5, 4_4_6_1, 1_5, 9_9_3, 2_5_5, 2_3_2_8, 9, 9, 9, 6, 2_6, 1_1_1_2, 8_1_6, 3_2_6_0, 1_3, 5, 1_0_3, 2_3_7_7, 6, 1_7, 1_1_1_2, 8_1_6, 2_7_8_2, 1_3, 5, 1_0_3, 1_0_6_4_1, 6, 2_9, 8_4, 2_5_1_2, 2_4_3_0, 7_8_2, 1_8_6_8_4, 2_7_6_1, 1_9, 8_0_8, 2_4_3_0, 2_5_5_6, 1_7, 8_5_5, 1_4_8_0, 9_4_7_7, 4_0_9_1, 1_2_8, 1_1_7_1_2, 1_5, 7_1_0_3, 2_1_5_3, 6_7_3, 1_7, 2_4_8_8_3, 9_9_9_0, 9, 3], [2, 1_1_5_0_2, 2_5, 1_0_0_6, 2_0, 7_8_2, 8, 1_1_8_0_9, 8_5_5, 1_7_3_2, 1_9_3_9_3, 1_8_6_6_7, 3_7, 3_6_7, 2_1_0_1_8, 6_9, 1_8_5_4, 3_4, 1_1_8_6_0, 1_9_1_2_4, 2_7, 1_5_6, 2_2_5, 1_7, 1_9_3, 4_1_4_1, 1_9, 6_5, 9_1_2_4, 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, 1_4, 2_2_3_1, 8_8_6, 2_3_8_5, 1_7_6_5_9, 8_4, 1_4, 1_6_7_9_2, 1_9_5_2, 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=UpperCAmelCase__    ,    model_name="albert-base-v2"    ,    revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"    ,    )




"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


a__       :							Dict        =  logging.get_logger(__name__)




class 				UpperCamelCase_			(				UpperCamelCase):

	"""simple docstring"""





	def __init__(				self    :       str    ,    *UpperCAmelCase__    :       List[Any]    ,    **UpperCAmelCase__    :       Tuple     ) ->			None:
						warnings.warn(
						    "The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
						    " Please use VideoMAEImageProcessor instead."    ,    UpperCAmelCase__    ,    )
						super().__init__(*UpperCAmelCase__    ,    **UpperCAmelCase__     )
