


'''simple docstring'''







import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_SCREAMING_SNAKE_CASE							: Tuple										=			"▁"

_SCREAMING_SNAKE_CASE							: List[str]										=			get_tests_dir("fixtures/test_sentencepiece.model")






@require_sentencepiece
class 		_snake_case     (					__lowerCamelCase	,	unittest.TestCase		):






						'''simple docstring'''







						__snake_case				=   BertGenerationTokenizer
						__snake_case				=   False
						__snake_case				=   True







						def lowerCAmelCase__			(	self:						Optional[Any]  )				->						int:
										super().setUp()

										__magic_name__					:       Union[str, Any]    							=							BertGenerationTokenizer(lowerCamelCase__   ,				keep_accents=lowerCamelCase__  )
										tokenizer.save_pretrained(self.tmpdirname  )







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						Union[str, Any]:
										__magic_name__					:       Optional[int]    							=							"<s>"
										__magic_name__					:       Union[str, Any]    							=							1

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







						def lowerCAmelCase__			(	self:						Union[str, Any]  )				->						Tuple:
										__magic_name__					:       List[Any]    							=							list(self.get_tokenizer().get_vocab().keys()  )

										self.assertEqual(vocab_keys[0]   ,				"<unk>"  )
										self.assertEqual(vocab_keys[1]   ,				"<s>"  )
										self.assertEqual(vocab_keys[-1]   ,				"<pad>"  )
										self.assertEqual(len(lowerCamelCase__  )   ,				1002  )







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						Union[str, Any]:
										self.assertEqual(self.get_tokenizer().vocab_size   ,				1000  )







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						int:
										__magic_name__					:       List[str]    							=							BertGenerationTokenizer(lowerCamelCase__   ,				keep_accents=lowerCamelCase__  )

										__magic_name__					:       Tuple    							=							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]   ,				)

										__magic_name__					:       List[str]    							=							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",
										        ".",
										    ]   ,				)
										__magic_name__					:       Optional[Any]    							=							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]   ,				)

										__magic_name__					:       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 lowerCAmelCase__			(	self:						Optional[int]  )				->						Optional[int]:
										return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"  )







						@slow
						def lowerCAmelCase__			(	self:						Dict  )				->						Union[str, Any]:
										__magic_name__					:       Any    							=							"Hello World!"
										__magic_name__					:       str    							=							[1_8536, 2260, 101]

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







						@slow
						def lowerCAmelCase__			(	self:						Tuple  )				->						Any:
										__magic_name__					:       Optional[int]    							=							(
										    "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"
										)
										__magic_name__					:       Optional[Any]    							=							[
										    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,
										]

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







						@require_torch
						@slow
						def lowerCAmelCase__			(	self:						int  )				->						List[str]:
										import torch

										from transformers import BertGenerationConfig, BertGenerationEncoder

										# Build sequence
										__magic_name__					:       str    							=							list(self.big_tokenizer.get_vocab().keys()  )[:10]
										__magic_name__					:       Optional[Any]    							=							" ".join(lowerCamelCase__  )
										__magic_name__					:       str    							=							self.big_tokenizer.encode_plus(lowerCamelCase__   ,				return_tensors="pt"   ,				return_token_type_ids=lowerCamelCase__  )
										__magic_name__					:       Optional[Any]    							=							self.big_tokenizer.batch_encode_plus(
										    [sequence + " " + sequence]   ,				return_tensors="pt"   ,				return_token_type_ids=lowerCamelCase__  )

										__magic_name__					:       Optional[Any]    							=							BertGenerationConfig()
										__magic_name__					:       List[Any]    							=							BertGenerationEncoder(lowerCamelCase__  )

										assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

										with torch.no_grad():
														model(**lowerCamelCase__  )
														model(**lowerCamelCase__  )







						@slow
						def lowerCAmelCase__			(	self:						Union[str, Any]  )				->						Union[str, Any]:
										__magic_name__					:       Optional[int]    							=							{"input_ids": [[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], [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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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/bert_for_seq_generation_L-24_bbc_encoder"   ,				revision="c817d1fd1be2ffa69431227a1fe320544943d4db"   ,				)


def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE = 1000   ):
      '''simple docstring'''







      return sum(2 * a * ((a - 1) // 2) for a in range(3		,				n + 1   )   )


if __name__ == "__main__":
      print(solution())





