

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							:  Union[str, Any]   	=						get_tests_dir("""fixtures/spiece.model""")



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




			"""simple docstring"""







			_UpperCAmelCase   :							int										=     AlbertTokenizer
			_UpperCAmelCase   :							Tuple										=     AlbertTokenizerFast
			_UpperCAmelCase   :							int										=     True
			_UpperCAmelCase   :							List[str]										=     True
			_UpperCAmelCase   :							Tuple										=     True



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[Any]):
									super().setUp()

									# We have a SentencePiece fixture for testing
									SCREAMING_SNAKE_CASE_: List[str]  		=       AlbertTokenizer(lowerCAmelCase__)
									tokenizer.save_pretrained(self.tmpdirname)



			def        _SCREAMING_SNAKE_CASE			( self  :     int   ,						lowerCAmelCase__  :     Dict):
									SCREAMING_SNAKE_CASE_: Tuple  		=       "this is a test"
									SCREAMING_SNAKE_CASE_: Optional[int]  		=       "this is a test"
									return input_text, output_text



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]):
									SCREAMING_SNAKE_CASE_: Dict  		=       "<pad>"
									SCREAMING_SNAKE_CASE_: Dict  		=       0

									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  :     Optional[Any]):
									SCREAMING_SNAKE_CASE_: Optional[Any]  		=       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(lowerCAmelCase__)   ,						3_0000)



			def        _SCREAMING_SNAKE_CASE			( self  :     int):
									self.assertEqual(self.get_tokenizer().vocab_size   ,						3_0000)



			def        _SCREAMING_SNAKE_CASE			( self  :     List[str]):
									if not self.test_rust_tokenizer:
															return

									SCREAMING_SNAKE_CASE_: Optional[int]  		=       self.get_tokenizer()
									SCREAMING_SNAKE_CASE_: str  		=       self.get_rust_tokenizer()

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

									SCREAMING_SNAKE_CASE_: Optional[int]  		=       tokenizer.tokenize(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       rust_tokenizer.tokenize(lowerCAmelCase__)
									self.assertListEqual(lowerCAmelCase__   ,						lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_: List[Any]  		=       tokenizer.encode(lowerCAmelCase__   ,						add_special_tokens=lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: Any  		=       rust_tokenizer.encode(lowerCAmelCase__   ,						add_special_tokens=lowerCAmelCase__)
									self.assertListEqual(lowerCAmelCase__   ,						lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_: Optional[Any]  		=       self.get_rust_tokenizer()
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       tokenizer.encode(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: Dict  		=       rust_tokenizer.encode(lowerCAmelCase__)
									self.assertListEqual(lowerCAmelCase__   ,						lowerCAmelCase__)



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]):
									SCREAMING_SNAKE_CASE_: List[str]  		=       AlbertTokenizer(lowerCAmelCase__   ,						keep_accents=lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_: Optional[int]  		=       tokenizer.tokenize("This is a test")
									self.assertListEqual(lowerCAmelCase__   ,						["▁this", "▁is", "▁a", "▁test"])

									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__)   ,						[48, 25, 21, 1289])

									SCREAMING_SNAKE_CASE_: int  		=       tokenizer.tokenize("I was born in 92000, and this is falsé.")
									self.assertListEqual(
									    lowerCAmelCase__   ,						["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."])
									SCREAMING_SNAKE_CASE_: List[Any]  		=       tokenizer.convert_tokens_to_ids(lowerCAmelCase__)
									self.assertListEqual(lowerCAmelCase__   ,						[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9])

									SCREAMING_SNAKE_CASE_: Optional[Any]  		=       tokenizer.convert_ids_to_tokens(lowerCAmelCase__)
									self.assertListEqual(
									    lowerCAmelCase__   ,						["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]   ,						)



			def        _SCREAMING_SNAKE_CASE			( self  :     Tuple):
									SCREAMING_SNAKE_CASE_: List[str]  		=       AlbertTokenizer(lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_: List[str]  		=       tokenizer.encode("sequence builders")
									SCREAMING_SNAKE_CASE_: List[str]  		=       tokenizer.encode("multi-sequence build")

									SCREAMING_SNAKE_CASE_: Optional[int]  		=       tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: Dict  		=       tokenizer.build_inputs_with_special_tokens(lowerCAmelCase__   ,						lowerCAmelCase__)

									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        _SCREAMING_SNAKE_CASE			( self  :     str):
									# fmt: off
									SCREAMING_SNAKE_CASE_: Any  		=       {"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_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 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, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 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=lowerCAmelCase__   ,						model_name="albert-base-v2"   ,						revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"   ,						)









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel






