


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 			lowerCamelCase__						(   UpperCAmelCase_							,    unittest.TestCase			):
						lowerCAmelCase       =     LxmertTokenizer
						lowerCAmelCase       =     LxmertTokenizerFast
						lowerCAmelCase       =     True
						lowerCAmelCase       =     True







						def __a						(							self   :    Tuple		):
								super().setUp()

								A					       = [
								    '[UNK]',
								    '[CLS]',
								    '[SEP]',
								    'want',
								    '##want',
								    '##ed',
								    'wa',
								    'un',
								    'runn',
								    '##ing',
								    ',',
								    'low',
								    'lowest',
								]
								A					       = os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['vocab_file']		)
								with open(self.vocab_file			,			'w'			,			encoding='utf-8'		) as vocab_writer:
										vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]		)		)







						def __a						(							self   :    Dict			,			_lowercase   :    int		):
								A					       = 'UNwant\u00E9d,running'
								A					       = 'unwanted, running'
								return input_text, output_text







						def __a						(							self   :    Dict		):
								A					       = self.tokenizer_class(self.vocab_file		)

								A					       = tokenizer.tokenize('UNwant\u00E9d,running'		)
								self.assertListEqual(_UpperCAmelCase			,			['un', '##want', '##ed', ',', 'runn', '##ing']		)
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)			,			[7, 4, 5, 10, 8, 9]		)







						def __a						(							self   :    Any		):




								if not self.test_rust_tokenizer:
										return

								A					       = self.get_tokenizer()
								A					       = self.get_rust_tokenizer()

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

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

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

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









"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCamelCase						:				int             =      logging.get_logger(__name__)

UpperCamelCase						:				Optional[int]             =      {
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}



class 			lowerCamelCase__						(   UpperCAmelCase_							,    UpperCAmelCase_			):
						lowerCAmelCase       =     """bit"""
						lowerCAmelCase       =     ["""preactivation""", """bottleneck"""]
						lowerCAmelCase       =     ["""SAME""", """VALID"""]







						def __init__(							self   :    List[str]			,			_lowercase   :    int=3			,			_lowercase   :    List[str]=64			,			_lowercase   :    Optional[int]=[256, 512, 1_024, 2_048]			,			_lowercase   :    Optional[int]=[3, 4, 6, 3]			,			_lowercase   :    int="preactivation"			,			_lowercase   :    Union[str, Any]="relu"			,			_lowercase   :    List[Any]=None			,			_lowercase   :    Tuple=32			,			_lowercase   :    Optional[int]=0.0			,			_lowercase   :    Union[str, Any]=False			,			_lowercase   :    Dict=32			,			_lowercase   :    Union[str, Any]=1			,			_lowercase   :    List[Any]=None			,			_lowercase   :    Any=None			,			**_lowercase   :    str			,			):
								super().__init__(**_lowercase		)
								if layer_type not in self.layer_types:
										raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types		)}'		)
								if global_padding is not None:
										if global_padding.upper() in self.supported_padding:
												A					       = global_padding.upper()
										else:
												raise ValueError(f'Padding strategy {global_padding} not supported'		)
								A					       = num_channels
								A					       = embedding_size
								A					       = hidden_sizes
								A					       = depths
								A					       = layer_type
								A					       = hidden_act
								A					       = global_padding
								A					       = num_groups
								A					       = drop_path_rate
								A					       = embedding_dynamic_padding
								A					       = output_stride
								A					       = width_factor

								A					       = ['stem'] + [f'stage{idx}' for idx in range(1			,			len(_lowercase		) + 1		)]
								A       , A					       = get_aligned_output_features_output_indices(
								    out_features=_lowercase			,			out_indices=_lowercase			,			stage_names=self.stage_names		)





