
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  : str						   =							"""▁"""

lowercase  : str						   =							get_tests_dir("""fixtures/test_sentencepiece.model""")

@require_sentencepiece
class __snake_case		(				snake_case_ ,     unittest.TestCase					):
    _a		:						int=    BertGenerationTokenizer
    _a		:						Tuple=    False
    _a		:						Union[str, Any]=    True
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           super().setUp()

           lowercase							:					Optional[int]	     =				BertGenerationTokenizer(snake_case		,keep_accents=snake_case				)
           tokenizer.save_pretrained(self.tmpdirname				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				'<s>'
           lowercase							:					Union[str, Any]	     =				1

           self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case				)		,snake_case				)
           self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case				)		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					List[str]	     =				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(snake_case				)		,1002				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           self.assertEqual(self.get_tokenizer().vocab_size		,1000				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					List[str]	     =				BertGenerationTokenizer(snake_case		,keep_accents=snake_case				)

           lowercase							:					str	     =				tokenizer.tokenize("""This is a test"""				)
           self.assertListEqual(snake_case		,["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]				)

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

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

           lowercase							:					Any	     =				tokenizer.convert_ids_to_tokens(snake_case				)
           self.assertListEqual(
               snake_case		,[
                   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 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return BertGenerationTokenizer.from_pretrained("""google/bert_for_seq_generation_L-24_bbc_encoder"""				)
    @slow
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Union[str, Any]	     =				'Hello World!'
           lowercase							:					Union[str, Any]	     =				[18536, 2260, 101]

           self.assertListEqual(snake_case		,self.big_tokenizer.encode(snake_case				)				)
    @slow
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					List[Any]	     =				(
               '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'
           )
           lowercase							:					List[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,
               34324,
               497,
               391,
               408,
               11342,
               1244,
               385,
               100,
               938,
               985,
               456,
               574,
               362,
               12597,
               3200,
               3129,
               1172,
           ]

           self.assertListEqual(snake_case		,self.big_tokenizer.encode(snake_case				)				)
    @require_torch
    @slow
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import torch

           from transformers import BertGenerationConfig, BertGenerationEncoder

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

           lowercase							:					List[str]	     =				BertGenerationConfig()
           lowercase							:					str	     =				BertGenerationEncoder(snake_case				)

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

           with torch.no_grad():
                  model(**snake_case				)
                  model(**snake_case				)
    @slow
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Any	     =				{'input_ids': [[39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114], [448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 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, 21932, 18146, 726, 363, 17032, 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=snake_case		,model_name="""google/bert_for_seq_generation_L-24_bbc_encoder"""		,revision="""c817d1fd1be2ffa69431227a1fe320544943d4db"""		,)

print((lambda quine: quine % quine)("""print((lambda quine: quine %% quine)(%r))"""))
