




'''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


_lowercase  =			"""▁"""

_lowercase  =			get_tests_dir("""fixtures/test_sentencepiece.model""")
@require_sentencepiece
class 						a_				(			UpperCAmelCase__     ,						unittest.TestCase						):
	lowercase_       :     List[str]			  =      BertGenerationTokenizer
	lowercase_       :     List[str]			  =      False
	lowercase_       :     str			  =      True




	def   lowercase__   (       self     :  Dict      ):
							super().setUp()

							__snake_case						 =   BertGenerationTokenizer(__lowerCAmelCase       ,		keep_accents=__lowerCAmelCase      )
							tokenizer.save_pretrained(self.tmpdirname      )




	def   lowercase__   (       self     :  List[str]      ):
							__snake_case						 =   '<s>'
							__snake_case						 =   1

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




	def   lowercase__   (       self     :  Any      ):
							__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(__lowerCAmelCase      )       ,		1_0_0_2      )




	def   lowercase__   (       self     :  List[Any]      ):
							self.assertEqual(self.get_tokenizer().vocab_size       ,		1_0_0_0      )




	def   lowercase__   (       self     :  List[Any]      ):
							__snake_case						 =   BertGenerationTokenizer(__lowerCAmelCase       ,		keep_accents=__lowerCAmelCase      )

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

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(__lowerCAmelCase      )       ,		[2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]       ,		)

							__snake_case						 =   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',
							        '.',
							    ]       ,		)
							__snake_case						 =   tokenizer.convert_tokens_to_ids(__lowerCAmelCase      )
							self.assertListEqual(
							    __lowerCAmelCase       ,		[8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]       ,		)

							__snake_case						 =   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   lowercase__   (       self     :  int      ):
							return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'      )




	@slow
	def   lowercase__   (       self     :  str      ):
							__snake_case						 =   'Hello World!'
							__snake_case						 =   [1_8_5_3_6, 2_2_6_0, 1_0_1]

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




	@slow
	def   lowercase__   (       self     :  int      ):
							__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_7_1,
							    4_1_9,
							    3_5_8,
							    9_4_6,
							    9_9_1,
							    2_5_2_1,
							    4_5_2,
							    3_5_8,
							    1_3_5_7,
							    3_8_7,
							    7_7_5_1,
							    3_5_3_6,
							    1_1_2,
							    9_8_5,
							    4_5_6,
							    1_2_6,
							    8_6_5,
							    9_3_8,
							    5_4_0_0,
							    5_7_3_4,
							    4_5_8,
							    1_3_6_8,
							    4_6_7,
							    7_8_6,
							    2_4_6_2,
							    5_2_4_6,
							    1_1_5_9,
							    6_3_3,
							    8_6_5,
							    4_5_1_9,
							    4_5_7,
							    5_8_2,
							    8_5_2,
							    2_5_5_7,
							    4_2_7,
							    9_1_6,
							    5_0_8,
							    4_0_5,
							    3_4_3_2_4,
							    4_9_7,
							    3_9_1,
							    4_0_8,
							    1_1_3_4_2,
							    1_2_4_4,
							    3_8_5,
							    1_0_0,
							    9_3_8,
							    9_8_5,
							    4_5_6,
							    5_7_4,
							    3_6_2,
							    1_2_5_9_7,
							    3_2_0_0,
							    3_1_2_9,
							    1_1_7_2,
							]

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




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

							from transformers import BertGenerationConfig, BertGenerationEncoder

							# Build sequence
							__snake_case						 =   list(self.big_tokenizer.get_vocab().keys()      )[:1_0]
							__snake_case						 =   ' '.join(__lowerCAmelCase      )
							__snake_case						 =   self.big_tokenizer.encode_plus(__lowerCAmelCase       ,		return_tensors='pt'       ,		return_token_type_ids=__lowerCAmelCase      )
							__snake_case						 =   self.big_tokenizer.batch_encode_plus(
							    [sequence + ' ' + sequence]       ,		return_tensors='pt'       ,		return_token_type_ids=__lowerCAmelCase      )

							__snake_case						 =   BertGenerationConfig()
							__snake_case						 =   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   lowercase__   (       self     :  List[str]      ):
							# fmt: off
							__snake_case						 =   {'input_ids': [[3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4], [4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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'       ,		)







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase  =			{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase  =			[
	    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """PegasusXForConditionalGeneration""",
	    """PegasusXModel""",
	    """PegasusXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_pegasus_x import (
		    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PegasusXForConditionalGeneration,
		    PegasusXModel,
		    PegasusXPreTrainedModel,
		)


else:
	import sys

	_lowercase  =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

