'''simple docstring'''







import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_      	=	get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
@require_tokenizers
class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE						,						unittest.TestCase					):
						A_			:							List[Any]     		= XGLMTokenizer
						A_			:							Optional[Any]     		= XGLMTokenizerFast
						A_			:							Dict     		= True
						A_			:							Tuple     		= True




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

													# We have a SentencePiece fixture for testing
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = XGLMTokenizer(UpperCamelCase_							,							keep_accents=UpperCamelCase_      )
													tokenizer.save_pretrained(self.tmpdirname      )




						def      __lowerCamelCase       (    self :       str      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :int						    = '<pad>'
													SCREAMING_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 :       List[Any]      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[str]						    = list(self.get_tokenizer().get_vocab().keys()      )

													self.assertEqual(vocab_keys[0]							,							'<s>'      )
													self.assertEqual(vocab_keys[1]							,							'<pad>'      )
													self.assertEqual(len(UpperCamelCase_      )							,							10_08      )




						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				Optional[int]:
													self.assertEqual(self.get_tokenizer().vocab_size							,							10_08      )




						def      __lowerCamelCase       (    self :       Optional[Any]      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :Dict						    = XGLMTokenizer(UpperCamelCase_							,							keep_accents=UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :str						    = tokenizer.tokenize('This is a test'      )
													self.assertListEqual(UpperCamelCase_							,							['▁This', '▁is', '▁a', '▁t', 'est']      )

													self.assertListEqual(
													    tokenizer.convert_tokens_to_ids(UpperCamelCase_      )							,							[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]							,							)

													SCREAMING_SNAKE_CASE__     :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',
													        '.',
													    ]							,							)
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = tokenizer.convert_tokens_to_ids(UpperCamelCase_      )
													self.assertListEqual(
													    UpperCamelCase_							,							[
													        value + tokenizer.fairseq_offset
													        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
													    ]							,							)

													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = 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 :       Any      )     ->				List[Any]:
													return XGLMTokenizer.from_pretrained('facebook/xglm-564M'      )




						def      __lowerCamelCase       (    self :       int      )     ->				Dict:
													with tempfile.NamedTemporaryFile() as f:
																				shutil.copyfile(UpperCamelCase_							,							f.name      )
																				SCREAMING_SNAKE_CASE__     :List[str]						    = XGLMTokenizer(f.name							,							keep_accents=UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :Any						    = pickle.dumps(UpperCamelCase_      )
													pickle.loads(UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       int      )     ->				List[str]:
													if not self.test_rust_tokenizer:
																				return

													SCREAMING_SNAKE_CASE__     :List[Any]						    = self.get_tokenizer()
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.get_rust_tokenizer()

													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = 'I was born in 92000, and this is falsé.'

													SCREAMING_SNAKE_CASE__     :Any						    = tokenizer.tokenize(UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :List[str]						    = rust_tokenizer.tokenize(UpperCamelCase_      )
													self.assertListEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Optional[int]						    = tokenizer.encode(UpperCamelCase_							,							add_special_tokens=UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :Dict						    = rust_tokenizer.encode(UpperCamelCase_							,							add_special_tokens=UpperCamelCase_      )
													self.assertListEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = self.get_rust_tokenizer()
													SCREAMING_SNAKE_CASE__     :str						    = tokenizer.encode(UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :List[Any]						    = rust_tokenizer.encode(UpperCamelCase_      )
													self.assertListEqual(UpperCamelCase_							,							UpperCamelCase_      )




						@slow
						def      __lowerCamelCase       (    self :       Any      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :Tuple						    = 'Hello World!'
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = [2, 3_12_27, 44_47, 35]

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




						@slow
						def      __lowerCamelCase       (    self :       str      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[str]						    = (
													    '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'
													)
													# fmt: off
													SCREAMING_SNAKE_CASE__     :List[str]						    = [2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
													# fmt: on

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




						@slow
						def      __lowerCamelCase       (    self :       Optional[Any]      )     ->				List[str]:
													# fmt: off
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = {
													    'input_ids': [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 5]],
													    '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, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
													}  # noqa: E501
													# fmt: on

													self.tokenizer_integration_test_util(
													    expected_encoding=UpperCamelCase_							,							model_name='facebook/xglm-564M'							,							padding=UpperCamelCase_							,							)







'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase_      	=	{
    '''configuration_bloom''': ['''BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BloomConfig''', '''BloomOnnxConfig'''],
}
try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	['''BloomTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BloomForCausalLM''',
		    '''BloomModel''',
		    '''BloomPreTrainedModel''',
		    '''BloomForSequenceClassification''',
		    '''BloomForTokenClassification''',
		    '''BloomForQuestionAnswering''',
		]

if TYPE_CHECKING:
		from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bloom_fast import BloomTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bloom import (
				    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BloomForCausalLM,
				    BloomForQuestionAnswering,
				    BloomForSequenceClassification,
				    BloomForTokenClassification,
				    BloomModel,
				    BloomPreTrainedModel,
				)

else:
		import sys

		UpperCamelCase_      	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






