
'''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


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






@require_sentencepiece
@require_tokenizers
class 	snake_case__       (      __SCREAMING_SNAKE_CASE    ,					unittest.TestCase					):







		"""simple docstring"""

		lowerCamelCase     							=						XGLMTokenizer
		lowerCamelCase     							=						XGLMTokenizerFast
		lowerCamelCase     							=						True
		lowerCamelCase     							=						True



		def       lowerCAmelCase				(      self				:			Tuple      )						->			List[Any]:






				"""simple docstring"""







				super().setUp()

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



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






				"""simple docstring"""







				snake_case  :       List[Any]     			=						'''<pad>'''
				snake_case  :       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       lowerCAmelCase				(      self				:			Tuple      )						->			int:






				"""simple docstring"""







				snake_case  :       str     			=						list(self.get_tokenizer().get_vocab().keys()      )

				self.assertEqual(vocab_keys[0]  ,	'''<s>'''      )
				self.assertEqual(vocab_keys[1]  ,	'''<pad>'''      )
				self.assertEqual(len(UpperCamelCase__      )  ,	1008      )



		def       lowerCAmelCase				(      self				:			List[str]      )						->			int:






				"""simple docstring"""







				self.assertEqual(self.get_tokenizer().vocab_size  ,	1008      )



		def       lowerCAmelCase				(      self				:			str      )						->			List[str]:






				"""simple docstring"""







				snake_case  :       str     			=						XGLMTokenizer(UpperCamelCase__  ,	keep_accents=UpperCamelCase__      )

				snake_case  :       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 [285, 46, 10, 170, 382]]  ,	)

				snake_case  :       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''',
				        '''.''',
				    ]  ,	)
				snake_case  :       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, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
				    ]  ,	)

				snake_case  :       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       lowerCAmelCase				(      self				:			List[Any]      )						->			int:






				"""simple docstring"""







				return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''      )



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






				"""simple docstring"""







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



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






				"""simple docstring"""







				if not self.test_rust_tokenizer:
						return

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

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

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

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

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



		@slow
		def       lowerCAmelCase				(      self				:			Dict      )						->			str:






				"""simple docstring"""







				snake_case  :       Tuple     			=						'''Hello World!'''
				snake_case  :       Union[str, Any]     			=						[2, 3_1227, 4447, 35]

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



		@slow
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			List[str]:






				"""simple docstring"""







				snake_case  :       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
				snake_case  :       Dict     			=						[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
				# fmt: on

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



		@slow
		def       lowerCAmelCase				(      self				:			Dict      )						->			List[str]:






				"""simple docstring"""







				snake_case  :       Optional[int]     			=						{
				    '''input_ids''': [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase__						       =      logging.get_logger(__name__)

lowercase__						       =      {
    "microsoft/swin-tiny-patch4-window7-224": (
        "https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}






class 	snake_case__       (      __SCREAMING_SNAKE_CASE    ,					__SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						"""swin"""

		lowerCamelCase     							=						{
		    """num_attention_heads""": """num_heads""",
		    """num_hidden_layers""": """num_layers""",
		}



		def __init__(      self				:			Tuple  ,	UpperCamelCase__				:			int=224  ,	UpperCamelCase__				:			Optional[int]=4  ,	UpperCamelCase__				:			str=3  ,	UpperCamelCase__				:			str=96  ,	UpperCamelCase__				:			List[Any]=[2, 2, 6, 2]  ,	UpperCamelCase__				:			Optional[Any]=[3, 6, 12, 24]  ,	UpperCamelCase__				:			Optional[Any]=7  ,	UpperCamelCase__				:			Tuple=4.0  ,	UpperCamelCase__				:			Tuple=True  ,	UpperCamelCase__				:			str=0.0  ,	UpperCamelCase__				:			Optional[Any]=0.0  ,	UpperCamelCase__				:			List[str]=0.1  ,	UpperCamelCase__				:			Optional[Any]="gelu"  ,	UpperCamelCase__				:			Optional[Any]=False  ,	UpperCamelCase__				:			Tuple=0.02  ,	UpperCamelCase__				:			List[Any]=1e-5  ,	UpperCamelCase__				:			Any=32  ,	UpperCamelCase__				:			List[str]=None  ,	UpperCamelCase__				:			int=None  ,	**UpperCamelCase__				:			Optional[Any]  ,	)						->			Optional[int]:






				"""simple docstring"""







				super().__init__(**UpperCamelCase__      )

				snake_case  :       Any     			=						image_size
				snake_case  :       Optional[int]     			=						patch_size
				snake_case  :       List[Any]     			=						num_channels
				snake_case  :       Union[str, Any]     			=						embed_dim
				snake_case  :       str     			=						depths
				snake_case  :       str     			=						len(UpperCamelCase__      )
				snake_case  :       List[Any]     			=						num_heads
				snake_case  :       List[Any]     			=						window_size
				snake_case  :       Optional[int]     			=						mlp_ratio
				snake_case  :       Union[str, Any]     			=						qkv_bias
				snake_case  :       Optional[int]     			=						hidden_dropout_prob
				snake_case  :       Optional[int]     			=						attention_probs_dropout_prob
				snake_case  :       Optional[int]     			=						drop_path_rate
				snake_case  :       List[Any]     			=						hidden_act
				snake_case  :       int     			=						use_absolute_embeddings
				snake_case  :       str     			=						layer_norm_eps
				snake_case  :       Optional[Any]     			=						initializer_range
				snake_case  :       Any     			=						encoder_stride
				# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
				# this indicates the channel dimension after the last stage of the model
				snake_case  :       str     			=						int(embed_dim * 2 ** (len(UpperCamelCase__      ) - 1)      )
				snake_case  :       int     			=						['''stem'''] + [f'stage{idx}' for idx in range(1  ,	len(UpperCamelCase__      ) + 1      )]
				snake_case			,snake_case  :       List[Any]     			=						get_aligned_output_features_output_indices(
				    out_features=UpperCamelCase__  ,	out_indices=UpperCamelCase__  ,	stage_names=self.stage_names      )







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

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



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






				"""simple docstring"""







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



		@property
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			float:






				"""simple docstring"""







				return 1e-4


