






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


__UpperCamelCase	  =						"▁"

__UpperCamelCase	  =						get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
class   __SCREAMING_SNAKE_CASE(	UpperCAmelCase_    ,  unittest.TestCase	):
							_UpperCAmelCase     =       BertGenerationTokenizer
							_UpperCAmelCase     =       False
							_UpperCAmelCase     =       True
							def lowerCAmelCase_ (     self:      str						)		->		Optional[Any]:
											super().setUp()

											snake_case__									=     BertGenerationTokenizer(_lowercase       ,	keep_accents=_lowercase						)
											tokenizer.save_pretrained(self.tmpdirname						)
							def lowerCAmelCase_ (     self:      Optional[Any]						)		->		Any:
											snake_case__									=     '<s>'
											snake_case__									=     1

											self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase						)       ,	_lowercase						)
											self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase						)       ,	_lowercase						)
							def lowerCAmelCase_ (     self:      Optional[Any]						)		->		List[str]:
											snake_case__									=     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(_lowercase						)       ,	10_02						)
							def lowerCAmelCase_ (     self:      Tuple						)		->		Optional[Any]:
											self.assertEqual(self.get_tokenizer().vocab_size       ,	10_00						)
							def lowerCAmelCase_ (     self:      Any						)		->		List[str]:
											snake_case__									=     BertGenerationTokenizer(_lowercase       ,	keep_accents=_lowercase						)

											snake_case__									=     tokenizer.tokenize('This is a test'						)
											self.assertListEqual(_lowercase       ,	['▁This', '▁is', '▁a', '▁t', 'est']						)

											self.assertListEqual(
											    tokenizer.convert_tokens_to_ids(_lowercase						)       ,	[2_85, 46, 10, 1_70, 3_82]       ,	)

											snake_case__									=     tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
											self.assertListEqual(
											    _lowercase       ,	[
											        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__									=     tokenizer.convert_tokens_to_ids(_lowercase						)
											self.assertListEqual(
											    _lowercase       ,	[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]       ,	)

											snake_case__									=     tokenizer.convert_ids_to_tokens(_lowercase						)
											self.assertListEqual(
											    _lowercase       ,	[
											        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:      Dict						)		->		Optional[int]:
											return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'						)
							@slow
							def lowerCAmelCase_ (     self:      str						)		->		Optional[int]:
											snake_case__									=     'Hello World!'
											snake_case__									=     [1_85_36, 22_60, 1_01]

											self.assertListEqual(_lowercase       ,	self.big_tokenizer.encode(_lowercase						)						)
							@slow
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Optional[Any]:
											snake_case__									=     (
											    '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__									=     [
											    8_71,
											    4_19,
											    3_58,
											    9_46,
											    9_91,
											    25_21,
											    4_52,
											    3_58,
											    13_57,
											    3_87,
											    77_51,
											    35_36,
											    1_12,
											    9_85,
											    4_56,
											    1_26,
											    8_65,
											    9_38,
											    54_00,
											    57_34,
											    4_58,
											    13_68,
											    4_67,
											    7_86,
											    24_62,
											    52_46,
											    11_59,
											    6_33,
											    8_65,
											    45_19,
											    4_57,
											    5_82,
											    8_52,
											    25_57,
											    4_27,
											    9_16,
											    5_08,
											    4_05,
											    3_43_24,
											    4_97,
											    3_91,
											    4_08,
											    1_13_42,
											    12_44,
											    3_85,
											    1_00,
											    9_38,
											    9_85,
											    4_56,
											    5_74,
											    3_62,
											    1_25_97,
											    32_00,
											    31_29,
											    11_72,
											]

											self.assertListEqual(_lowercase       ,	self.big_tokenizer.encode(_lowercase						)						)
							@require_torch
							@slow
							def lowerCAmelCase_ (     self:      Dict						)		->		Any:
											import torch

											from transformers import BertGenerationConfig, BertGenerationEncoder

											# Build sequence
											snake_case__									=     list(self.big_tokenizer.get_vocab().keys()						)[:10]
											snake_case__									=     ' '.join(_lowercase						)
											snake_case__									=     self.big_tokenizer.encode_plus(_lowercase       ,	return_tensors='pt'       ,	return_token_type_ids=_lowercase						)
											snake_case__									=     self.big_tokenizer.batch_encode_plus(
											    [sequence + ' ' + sequence]       ,	return_tensors='pt'       ,	return_token_type_ids=_lowercase						)

											snake_case__									=     BertGenerationConfig()
											snake_case__									=     BertGenerationEncoder(_lowercase						)

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

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


							@slow
							def lowerCAmelCase_ (     self:      Any						)		->		Optional[int]:
											# fmt: off
											snake_case__									=     {'input_ids': [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=_lowercase       ,	model_name='google/bert_for_seq_generation_L-24_bbc_encoder'       ,	revision='c817d1fd1be2ffa69431227a1fe320544943d4db'       ,	)












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCamelCase					:		str	  =						{"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		Dict	  =						["""LayoutXLMTokenizer"""]

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		str	  =						["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
							from .processing_layoutxlm import LayoutXLMProcessor

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm import LayoutXLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
							import sys

							__UpperCamelCase					:		Union[str, Any]	  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




