






"""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


__A						:			List[Any]    							=						get_tests_dir('''fixtures/test_sentencepiece.model''')





@require_sentencepiece
@require_tokenizers
class    _UpperCAmelCase			(					__SCREAMING_SNAKE_CASE  ,		unittest.TestCase				):
					SCREAMING_SNAKE_CASE_						:							Optional[int]				       =  XGLMTokenizer
					SCREAMING_SNAKE_CASE_						:							Optional[int]				       =  XGLMTokenizerFast
					SCREAMING_SNAKE_CASE_						:							Union[str, Any]				       =  True
					SCREAMING_SNAKE_CASE_						:							Tuple				       =  True




					def     A    (							self	:		Tuple  )    ->    List[Any]:
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase_					:					str							=  XGLMTokenizer(UpperCamelCase__       ,		keep_accents=UpperCamelCase__  )
							tokenizer.save_pretrained(self.tmpdirname  )




					def     A    (							self	:		Union[str, Any]  )    ->    Optional[int]:
							lowercase_					:					List[Any]							=  '''<pad>'''
							lowercase_					:					Tuple							=  1

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




					def     A    (							self	:		Tuple  )    ->    int:
							lowercase_					:					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     A    (							self	:		List[str]  )    ->    int:
							self.assertEqual(self.get_tokenizer().vocab_size       ,		10_08  )




					def     A    (							self	:		str  )    ->    List[str]:
							lowercase_					:					str							=  XGLMTokenizer(UpperCamelCase__       ,		keep_accents=UpperCamelCase__  )

							lowercase_					:					Union[str, Any]							=  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]]       ,		)

							lowercase_					:					List[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''',
							        '''.''',
							    ]       ,		)
							lowercase_					:					Tuple							=  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]
							    ]       ,		)

							lowercase_					:					List[str]							=  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     A    (							self	:		List[Any]  )    ->    int:
							return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''  )




					def     A    (							self	:		Dict  )    ->    Union[str, Any]:







							with tempfile.NamedTemporaryFile() as f:
									shutil.copyfile(UpperCamelCase__       ,		f.name  )
									lowercase_					:					Any							=  XGLMTokenizer(f.name       ,		keep_accents=UpperCamelCase__  )
									lowercase_					:					Dict							=  pickle.dumps(UpperCamelCase__  )
							pickle.loads(UpperCamelCase__  )




					def     A    (							self	:		Optional[int]  )    ->    Union[str, Any]:







							if not self.test_rust_tokenizer:
									return

							lowercase_					:					Dict							=  self.get_tokenizer()
							lowercase_					:					Optional[int]							=  self.get_rust_tokenizer()

							lowercase_					:					str							=  '''I was born in 92000, and this is falsé.'''

							lowercase_					:					Optional[Any]							=  tokenizer.tokenize(UpperCamelCase__  )
							lowercase_					:					Dict							=  rust_tokenizer.tokenize(UpperCamelCase__  )
							self.assertListEqual(UpperCamelCase__       ,		UpperCamelCase__  )

							lowercase_					:					List[str]							=  tokenizer.encode(UpperCamelCase__       ,		add_special_tokens=UpperCamelCase__  )
							lowercase_					:					List[str]							=  rust_tokenizer.encode(UpperCamelCase__       ,		add_special_tokens=UpperCamelCase__  )
							self.assertListEqual(UpperCamelCase__       ,		UpperCamelCase__  )

							lowercase_					:					Any							=  self.get_rust_tokenizer()
							lowercase_					:					Optional[Any]							=  tokenizer.encode(UpperCamelCase__  )
							lowercase_					:					Optional[int]							=  rust_tokenizer.encode(UpperCamelCase__  )
							self.assertListEqual(UpperCamelCase__       ,		UpperCamelCase__  )




					@slow
					def     A    (							self	:		Dict  )    ->    str:
							lowercase_					:					Tuple							=  '''Hello World!'''
							lowercase_					:					Union[str, Any]							=  [2, 3_12_27, 44_47, 35]

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




					@slow
					def     A    (							self	:		List[Any]  )    ->    List[str]:
							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'''
							)
							# fmt: off
							lowercase_					:					Dict							=  [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     A    (							self	:		Dict  )    ->    List[str]:
							lowercase_					:					Optional[int]							=  {
							    '''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 collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__						       =      logging.get_logger(__name__)

lowercase__						       =      {
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						"""yolos"""



		def __init__(      self				:			Any  ,	UpperCamelCase__				:			Optional[Any]=768  ,	UpperCamelCase__				:			Any=12  ,	UpperCamelCase__				:			Optional[int]=12  ,	UpperCamelCase__				:			Union[str, Any]=3072  ,	UpperCamelCase__				:			str="gelu"  ,	UpperCamelCase__				:			Union[str, Any]=0.0  ,	UpperCamelCase__				:			Union[str, Any]=0.0  ,	UpperCamelCase__				:			Union[str, Any]=0.02  ,	UpperCamelCase__				:			List[Any]=1e-1_2  ,	UpperCamelCase__				:			List[Any]=[512, 864]  ,	UpperCamelCase__				:			int=16  ,	UpperCamelCase__				:			Union[str, Any]=3  ,	UpperCamelCase__				:			Union[str, Any]=True  ,	UpperCamelCase__				:			int=100  ,	UpperCamelCase__				:			Optional[Any]=True  ,	UpperCamelCase__				:			int=False  ,	UpperCamelCase__				:			Dict=1  ,	UpperCamelCase__				:			Optional[int]=5  ,	UpperCamelCase__				:			List[str]=2  ,	UpperCamelCase__				:			Union[str, Any]=5  ,	UpperCamelCase__				:			Union[str, Any]=2  ,	UpperCamelCase__				:			int=0.1  ,	**UpperCamelCase__				:			Optional[Any]  ,	)						->			Any:






				"""simple docstring"""







				super().__init__(**UpperCamelCase__      )

				snake_case  :       List[str]     			=						hidden_size
				snake_case  :       Union[str, Any]     			=						num_hidden_layers
				snake_case  :       List[str]     			=						num_attention_heads
				snake_case  :       Any     			=						intermediate_size
				snake_case  :       int     			=						hidden_act
				snake_case  :       Optional[Any]     			=						hidden_dropout_prob
				snake_case  :       int     			=						attention_probs_dropout_prob
				snake_case  :       Union[str, Any]     			=						initializer_range
				snake_case  :       List[Any]     			=						layer_norm_eps
				snake_case  :       Tuple     			=						image_size
				snake_case  :       Any     			=						patch_size
				snake_case  :       str     			=						num_channels
				snake_case  :       Optional[int]     			=						qkv_bias
				snake_case  :       Optional[Any]     			=						num_detection_tokens
				snake_case  :       Dict     			=						use_mid_position_embeddings
				snake_case  :       List[Any]     			=						auxiliary_loss
				# Hungarian matcher
				snake_case  :       List[str]     			=						class_cost
				snake_case  :       Optional[Any]     			=						bbox_cost
				snake_case  :       Tuple     			=						giou_cost
				# Loss coefficients
				snake_case  :       Union[str, Any]     			=						bbox_loss_coefficient
				snake_case  :       List[Any]     			=						giou_loss_coefficient
				snake_case  :       Tuple     			=						eos_coefficient







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						version.parse("""1.11"""					)



		@property
		def       lowerCAmelCase				(      self				:			int      )						->			Mapping[str, Mapping[int, str]]:






				"""simple docstring"""







				return OrderedDict(
				    [
				        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
				    ]      )



		@property
		def       lowerCAmelCase				(      self				:			int      )						->			float:






				"""simple docstring"""







				return 1e-4



		@property
		def       lowerCAmelCase				(      self				:			Tuple      )						->			int:






				"""simple docstring"""







				return 12


