






"""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


A__	:    List[str]   = '▁'

A__	:    Any   = get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
class        lowercase__      (							snake_case__,       unittest.TestCase       ):
			_UpperCAmelCase		:List[Any]             =			BertGenerationTokenizer
			_UpperCAmelCase		:Dict             =			False
			_UpperCAmelCase		:Dict             =			True


			def      UpperCAmelCase__						(				self					:  int ):
										super().setUp()

										lowerCamelCase_	:							Optional[Any]									=BertGenerationTokenizer(snake_case__       ,	keep_accents=snake_case__ )
										tokenizer.save_pretrained(self.tmpdirname )


			def      UpperCAmelCase__						(				self					:  Optional[int] ):
										lowerCamelCase_	:							str									="<s>"
										lowerCamelCase_	:							str									=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      UpperCAmelCase__						(				self					:  Optional[Any] ):
										lowerCamelCase_	:							Optional[int]									=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      UpperCAmelCase__						(				self					:  Optional[Any] ):
										self.assertEqual(self.get_tokenizer().vocab_size       ,	1000 )


			def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										lowerCamelCase_	:							Any									=BertGenerationTokenizer(snake_case__       ,	keep_accents=snake_case__ )

										lowerCamelCase_	:							Tuple									=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]       ,	)

										lowerCamelCase_	:							int									=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",
										        ".",
										    ]       ,	)
										lowerCamelCase_	:							List[str]									=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]       ,	)

										lowerCamelCase_	:							Tuple									=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      UpperCAmelCase__						(				self					:  Any ):
										return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder" )


			@slow
			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							Optional[int]									="Hello World!"
										lowerCamelCase_	:							List[str]									=[1_8536, 2260, 101]

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


			@slow
			def      UpperCAmelCase__						(				self					:  List[str] ):
										lowerCamelCase_	:							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"
										)
										lowerCamelCase_	:							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(snake_case__       ,	self.big_tokenizer.encode(snake_case__ ) )


			@require_torch
			@slow
			def      UpperCAmelCase__						(				self					:  str ):
										import torch

										from transformers import BertGenerationConfig, BertGenerationEncoder

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

										lowerCamelCase_	:							Union[str, Any]									=BertGenerationConfig()
										lowerCamelCase_	:							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      UpperCAmelCase__						(				self					:  int ):
										# fmt: off
										lowerCamelCase_	:							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=snake_case__       ,	model_name="google/bert_for_seq_generation_L-24_bbc_encoder"       ,	revision="c817d1fd1be2ffa69431227a1fe320544943d4db"       ,	)











"""simple docstring"""



from typing import TYPE_CHECKING

from ..utils import _LazyModule


A__	:    List[str]			 = {
    'config': [
        'EXTERNAL_DATA_FORMAT_SIZE_LIMIT',
        'OnnxConfig',
        'OnnxConfigWithPast',
        'OnnxSeq2SeqConfigWithPast',
        'PatchingSpec',
    ],
    'convert': ['export', 'validate_model_outputs'],
    'features': ['FeaturesManager'],
    'utils': ['ParameterFormat', 'compute_serialized_parameters_size'],
}


if TYPE_CHECKING:
						from .config import (
						    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
						    OnnxConfig,
						    OnnxConfigWithPast,
						    OnnxSeqaSeqConfigWithPast,
						    PatchingSpec,
						)
						from .convert import export, validate_model_outputs
						from .features import FeaturesManager
						from .utils import ParameterFormat, compute_serialized_parameters_size

else:
						import sys

						A__	:    List[str]			 = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



