



"""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 			lowercase__			(      A,					unittest.TestCase    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					XGLMTokenizer
							_UpperCAmelCase      				=					XGLMTokenizerFast
							_UpperCAmelCase      				=					True
							_UpperCAmelCase      				=					True






							def        lowerCamelCase_   (  self						)			->							int:
									super().setUp()

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






							def        lowerCamelCase_   (  self						)			->							Optional[int]:
									_UpperCAmelCase							 =		'<pad>'
									_UpperCAmelCase							 =		1

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






							def        lowerCamelCase_   (  self						)			->							Union[str, Any]:
									_UpperCAmelCase							 =		list(self.get_tokenizer().get_vocab().keys()						)

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






							def        lowerCamelCase_   (  self						)			->							Tuple:
									self.assertEqual(self.get_tokenizer().vocab_size	,       1008						)






							def        lowerCamelCase_   (  self						)			->							Dict:
									_UpperCAmelCase							 =		XGLMTokenizer(snake_case	,       keep_accents=snake_case						)

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

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(snake_case						)	,       [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]	,       )

									_UpperCAmelCase							 =		tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
									self.assertListEqual(
									    snake_case	,       [
									        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',
									        '.',
									    ]	,       )
									_UpperCAmelCase							 =		tokenizer.convert_tokens_to_ids(snake_case						)
									self.assertListEqual(
									    snake_case	,       [
									        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]
									    ]	,       )

									_UpperCAmelCase							 =		tokenizer.convert_ids_to_tokens(snake_case						)
									self.assertListEqual(
									    snake_case	,       [
									        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						)			->							int:
									return XGLMTokenizer.from_pretrained('facebook/xglm-564M'						)






							def        lowerCamelCase_   (  self						)			->							Optional[int]:
									with tempfile.NamedTemporaryFile() as f:
											shutil.copyfile(snake_case	,       f.name						)
											_UpperCAmelCase							 =		XGLMTokenizer(f.name	,       keep_accents=snake_case						)
											_UpperCAmelCase							 =		pickle.dumps(snake_case						)
									pickle.loads(snake_case						)






							def        lowerCamelCase_   (  self						)			->							int:
									if not self.test_rust_tokenizer:
											return

									_UpperCAmelCase							 =		self.get_tokenizer()
									_UpperCAmelCase							 =		self.get_rust_tokenizer()

									_UpperCAmelCase							 =		'I was born in 92000, and this is falsé.'

									_UpperCAmelCase							 =		tokenizer.tokenize(snake_case						)
									_UpperCAmelCase							 =		rust_tokenizer.tokenize(snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)

									_UpperCAmelCase							 =		tokenizer.encode(snake_case	,       add_special_tokens=snake_case						)
									_UpperCAmelCase							 =		rust_tokenizer.encode(snake_case	,       add_special_tokens=snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)

									_UpperCAmelCase							 =		self.get_rust_tokenizer()
									_UpperCAmelCase							 =		tokenizer.encode(snake_case						)
									_UpperCAmelCase							 =		rust_tokenizer.encode(snake_case						)
									self.assertListEqual(snake_case	,       snake_case						)






							@slow
							def        lowerCamelCase_   (  self						)			->							List[str]:
									_UpperCAmelCase							 =		'Hello World!'
									_UpperCAmelCase							 =		[2, 31227, 4447, 35]

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






							@slow
							def        lowerCamelCase_   (  self						)			->							Optional[Any]:
									_UpperCAmelCase							 =		(
									    '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
									_UpperCAmelCase							 =		[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
									# fmt: on

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






							@slow
							def        lowerCamelCase_   (  self						)			->							str:
									# fmt: off
									_UpperCAmelCase							 =		{
									    'input_ids': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 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=snake_case	,       model_name='facebook/xglm-564M'	,       padding=snake_case	,       )







"""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  							=					{
    '''microsoft/beit-base-patch16-224-pt22k''': (
        '''https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'''
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}




class 			lowercase__			(      A    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					'''beit'''






							def __init__(  self	,       snake_case=8192	,       snake_case=768	,       snake_case=12	,       snake_case=12	,       snake_case=3072	,       snake_case="gelu"	,       snake_case=0.0	,       snake_case=0.0	,       snake_case=0.02	,       snake_case=1E-12	,       snake_case=224	,       snake_case=16	,       snake_case=3	,       snake_case=False	,       snake_case=False	,       snake_case=False	,       snake_case=False	,       snake_case=0.1	,       snake_case=0.1	,       snake_case=True	,       snake_case=[3, 5, 7, 11]	,       snake_case=[1, 2, 3, 6]	,       snake_case=True	,       snake_case=0.4	,       snake_case=256	,       snake_case=1	,       snake_case=False	,       snake_case=255	,       **snake_case	,       )			->							str:
									super().__init__(**snake_case						)

									_UpperCAmelCase							 =		vocab_size
									_UpperCAmelCase							 =		hidden_size
									_UpperCAmelCase							 =		num_hidden_layers
									_UpperCAmelCase							 =		num_attention_heads
									_UpperCAmelCase							 =		intermediate_size
									_UpperCAmelCase							 =		hidden_act
									_UpperCAmelCase							 =		hidden_dropout_prob
									_UpperCAmelCase							 =		attention_probs_dropout_prob
									_UpperCAmelCase							 =		initializer_range
									_UpperCAmelCase							 =		layer_norm_eps

									_UpperCAmelCase							 =		image_size
									_UpperCAmelCase							 =		patch_size
									_UpperCAmelCase							 =		num_channels
									_UpperCAmelCase							 =		use_mask_token
									_UpperCAmelCase							 =		use_absolute_position_embeddings
									_UpperCAmelCase							 =		use_relative_position_bias
									_UpperCAmelCase							 =		use_shared_relative_position_bias
									_UpperCAmelCase							 =		layer_scale_init_value
									_UpperCAmelCase							 =		drop_path_rate
									_UpperCAmelCase							 =		use_mean_pooling
									# decode head attributes (semantic segmentation)
									_UpperCAmelCase							 =		out_indices
									_UpperCAmelCase							 =		pool_scales
									# auxiliary head attributes (semantic segmentation)
									_UpperCAmelCase							 =		use_auxiliary_head
									_UpperCAmelCase							 =		auxiliary_loss_weight
									_UpperCAmelCase							 =		auxiliary_channels
									_UpperCAmelCase							 =		auxiliary_num_convs
									_UpperCAmelCase							 =		auxiliary_concat_input
									_UpperCAmelCase							 =		semantic_loss_ignore_index







class 			lowercase__			(      A    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					version.parse('''1.11'''    )






							@property
							def        lowerCamelCase_   (  self						)			->							Mapping[str, Mapping[int, str]]:
									return OrderedDict(
									    [
									        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
									    ]						)






							@property
							def        lowerCamelCase_   (  self						)			->							float:
									return 1E-4


