






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


lowercase  :							Union[str, Any]			  =    """▁"""

lowercase  :							Dict			  =    get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					,  unittest.TestCase					):


						'''simple docstring'''




						A     :   int						=					BertGenerationTokenizer
						A     :   Optional[Any]						=					False
						A     :   str						=					True






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

								snake_case_				:							Tuple						 =       BertGenerationTokenizer(UpperCamelCase__		,				keep_accents=UpperCamelCase__				)
								tokenizer.save_pretrained(self.tmpdirname				)






						def       _lowerCAmelCase       (	self				) ->				List[Any]:
								snake_case_				:							str						 =       "<s>"
								snake_case_				:							Optional[Any]						 =       1

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






						def       _lowerCAmelCase       (	self				) ->				Optional[Any]:
								snake_case_				:							Optional[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(UpperCamelCase__				)		,				1002				)






						def       _lowerCAmelCase       (	self				) ->				Optional[int]:
								self.assertEqual(self.get_tokenizer().vocab_size		,				1000				)






						def       _lowerCAmelCase       (	self				) ->				Optional[Any]:
								snake_case_				:							Any						 =       BertGenerationTokenizer(UpperCamelCase__		,				keep_accents=UpperCamelCase__				)

								snake_case_				:							Optional[int]						 =       tokenizer.tokenize("This is a test"				)
								self.assertListEqual(UpperCamelCase__		,				["▁This", "▁is", "▁a", "▁t", "est"]				)

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(UpperCamelCase__				)		,				[285, 46, 10, 170, 382]		,				)

								snake_case_				:							List[str]						 =       tokenizer.tokenize("I was born in 92000, and this is falsé."				)
								self.assertListEqual(
								    UpperCamelCase__		,				[
								        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",
								        ".",
								    ]		,				)
								snake_case_				:							Optional[int]						 =       tokenizer.convert_tokens_to_ids(UpperCamelCase__				)
								self.assertListEqual(
								    UpperCamelCase__		,				[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,				)

								snake_case_				:							str						 =       tokenizer.convert_ids_to_tokens(UpperCamelCase__				)
								self.assertListEqual(
								    UpperCamelCase__		,				[
								        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				) ->				Union[str, Any]:
								return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"				)






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

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






						@slow
						def       _lowerCAmelCase       (	self				) ->				Tuple:
								snake_case_				:							Dict						 =       (
								    "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"
								)
								snake_case_				:							List[str]						 =       [
								    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(UpperCamelCase__		,				self.big_tokenizer.encode(UpperCamelCase__				)				)






						@require_torch
						@slow
						def       _lowerCAmelCase       (	self				) ->				Optional[Any]:
								import torch

								from transformers import BertGenerationConfig, BertGenerationEncoder

								# Build sequence
								snake_case_				:							Tuple						 =       list(self.big_tokenizer.get_vocab().keys()				)[:10]
								snake_case_				:							str						 =       " ".join(UpperCamelCase__				)
								snake_case_				:							List[Any]						 =       self.big_tokenizer.encode_plus(UpperCamelCase__		,				return_tensors="pt"		,				return_token_type_ids=UpperCamelCase__				)
								snake_case_				:							Tuple						 =       self.big_tokenizer.batch_encode_plus(
								    [sequence + " " + sequence]		,				return_tensors="pt"		,				return_token_type_ids=UpperCamelCase__				)

								snake_case_				:							Optional[Any]						 =       BertGenerationConfig()
								snake_case_				:							List[str]						 =       BertGenerationEncoder(UpperCamelCase__				)

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

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






						@slow
						def       _lowerCAmelCase       (	self				) ->				Optional[int]:
								snake_case_				:							List[Any]						 =       {"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=UpperCamelCase__		,				model_name="google/bert_for_seq_generation_L-24_bbc_encoder"		,				revision="c817d1fd1be2ffa69431227a1fe320544943d4db"		,				)








def      lowerCAmelCase__	(    _a       :			int    ):
		if num < 0:
				return False

		snake_case_				:							int						 =       num
		snake_case_				:							int						 =       0
		while num > 0:
				snake_case_				:							Union[str, Any]						 =       rev_num * 10 + (num % 10)
				num //= 10

		return num_copy == rev_num


if __name__ == "__main__":
							import doctest

							doctest.testmod()
