

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__		      =       get_tests_dir("""fixtures/spiece.model""")

@require_sentencepiece
@require_tokenizers
class     a__  (    lowerCamelCase_							,		unittest.TestCase	):
			"""simple docstring"""







			__lowerCamelCase       				=				AlbertTokenizer
			__lowerCamelCase       				=				AlbertTokenizerFast
			__lowerCamelCase       				=				True
			__lowerCamelCase       				=				True
			__lowerCamelCase       				=				True


			def    UpperCamelCase						(			self				)     ->  str:
							'''simple docstring'''






							super().setUp()

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


			def    UpperCamelCase						(			self					,					lowercase				)     ->  int:
							'''simple docstring'''






							A__						=	"this is a test"
							A__						=	"this is a test"
							return input_text, output_text


			def    UpperCamelCase						(			self				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	"<pad>"
							A__						=	0

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


			def    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							A__						=	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(__a				)					,					30000				)


			def    UpperCamelCase						(			self				)     ->  Any:
							'''simple docstring'''






							self.assertEqual(self.get_tokenizer().vocab_size					,					30000				)


			def    UpperCamelCase						(			self				)     ->  Optional[int]:
							'''simple docstring'''






							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(__a				)
							A__						=	rust_tokenizer.tokenize(__a				)
							self.assertListEqual(__a					,					__a				)

							A__						=	tokenizer.encode(__a					,					add_special_tokens=__a				)
							A__						=	rust_tokenizer.encode(__a					,					add_special_tokens=__a				)
							self.assertListEqual(__a					,					__a				)

							A__						=	self.get_rust_tokenizer()
							A__						=	tokenizer.encode(__a				)
							A__						=	rust_tokenizer.encode(__a				)
							self.assertListEqual(__a					,					__a				)


			def    UpperCamelCase						(			self				)     ->  str:
							'''simple docstring'''






							A__						=	AlbertTokenizer(__a					,					keep_accents=__a				)

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

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

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

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


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	AlbertTokenizer(__a				)

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

							A__						=	tokenizer.build_inputs_with_special_tokens(__a				)
							A__						=	tokenizer.build_inputs_with_special_tokens(__a					,					__a				)

							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				)     ->  Dict:
							'''simple docstring'''






							A__						=	{"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, 21970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 12051, 18, 17, 7103, 2153, 673, 8, 3515, 18684, 8, 4461, 6, 1927, 297, 8, 12060, 2607, 18, 13, 5, 4461, 15, 10538, 38, 8, 135, 15, 822, 58, 15, 993, 10363, 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, 10641, 6, 29, 84, 2512, 2430, 782, 18684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 11712, 15, 7103, 2153, 673, 17, 24883, 9990, 9, 3], [2, 11502, 25, 1006, 20, 782, 8, 11809, 855, 1732, 19393, 18667, 37, 367, 21018, 69, 1854, 34, 11860, 19124, 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, 17659, 84, 14, 16792, 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=__a					,					model_name="albert-base-v2"					,					revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"					,					)








'''simple docstring'''







def  _lowerCamelCase				( lowercase						:      int = 100						)	->	int:
				_a								= 0
				_a								= 0
				for i in range(1    ,							n + 1						):
								sum_of_squares += i**2
								sum_of_ints += i
				return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
					print(f"""{solution() = }""")
