


'''simple docstring'''

import copy
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 ..auto import CONFIG_MAPPING


_UpperCAmelCase				: Dict							    =				logging.get_logger(__name__)

_UpperCAmelCase				: int							    =				{
    """microsoft/conditional-detr-resnet-50""": (
        """https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json"""
    ),
}


class       a__				( __A      ):







				"""simple docstring"""



				__UpperCamelCase    :		List[str]	=	'conditional_detr'
				__UpperCamelCase    :		List[Any]	=	['past_key_values']
				__UpperCamelCase    :		Tuple	=	{
				    'hidden_size': 'd_model',
				    'num_attention_heads': 'encoder_attention_heads',
				}




				def __init__(self       ,			__lowercase=True       ,			__lowercase=None       ,			__lowercase=3       ,			__lowercase=3_00       ,			__lowercase=6       ,			__lowercase=20_48       ,			__lowercase=8       ,			__lowercase=6       ,			__lowercase=20_48       ,			__lowercase=8       ,			__lowercase=0.0       ,			__lowercase=0.0       ,			__lowercase=True       ,			__lowercase="relu"       ,			__lowercase=2_56       ,			__lowercase=0.1       ,			__lowercase=0.0       ,			__lowercase=0.0       ,			__lowercase=0.0_2       ,			__lowercase=1.0       ,			__lowercase=False       ,			__lowercase="sine"       ,			__lowercase="resnet50"       ,			__lowercase=True       ,			__lowercase=False       ,			__lowercase=2       ,			__lowercase=5       ,			__lowercase=2       ,			__lowercase=1       ,			__lowercase=1       ,			__lowercase=2       ,			__lowercase=5       ,			__lowercase=2       ,			__lowercase=0.2_5       ,			**__lowercase       ,			):
										if backbone_config is not None and use_timm_backbone:
																raise ValueError('''You can\'t specify both `backbone_config` and `use_timm_backbone`.'''		)

										if not use_timm_backbone:
																if backbone_config is None:
																						logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''		)
																						__lowerCAmelCase							       =				CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']		)
																elif isinstance(__lowercase       ,			__lowercase		):
																						__lowerCAmelCase							       =				backbone_config.get('''model_type'''		)
																						__lowerCAmelCase							       =				CONFIG_MAPPING[backbone_model_type]
																						__lowerCAmelCase							       =				config_class.from_dict(__lowercase		)

										__lowerCAmelCase							       =				use_timm_backbone
										__lowerCAmelCase							       =				backbone_config
										__lowerCAmelCase							       =				num_channels
										__lowerCAmelCase							       =				num_queries
										__lowerCAmelCase							       =				d_model
										__lowerCAmelCase							       =				encoder_ffn_dim
										__lowerCAmelCase							       =				encoder_layers
										__lowerCAmelCase							       =				encoder_attention_heads
										__lowerCAmelCase							       =				decoder_ffn_dim
										__lowerCAmelCase							       =				decoder_layers
										__lowerCAmelCase							       =				decoder_attention_heads
										__lowerCAmelCase							       =				dropout
										__lowerCAmelCase							       =				attention_dropout
										__lowerCAmelCase							       =				activation_dropout
										__lowerCAmelCase							       =				activation_function
										__lowerCAmelCase							       =				init_std
										__lowerCAmelCase							       =				init_xavier_std
										__lowerCAmelCase							       =				encoder_layerdrop
										__lowerCAmelCase							       =				decoder_layerdrop
										__lowerCAmelCase							       =				encoder_layers
										__lowerCAmelCase							       =				auxiliary_loss
										__lowerCAmelCase							       =				position_embedding_type
										__lowerCAmelCase							       =				backbone
										__lowerCAmelCase							       =				use_pretrained_backbone
										__lowerCAmelCase							       =				dilation
										# Hungarian matcher
										__lowerCAmelCase							       =				class_cost
										__lowerCAmelCase							       =				bbox_cost
										__lowerCAmelCase							       =				giou_cost
										# Loss coefficients
										__lowerCAmelCase							       =				mask_loss_coefficient
										__lowerCAmelCase							       =				dice_loss_coefficient
										__lowerCAmelCase							       =				cls_loss_coefficient
										__lowerCAmelCase							       =				bbox_loss_coefficient
										__lowerCAmelCase							       =				giou_loss_coefficient
										__lowerCAmelCase							       =				focal_alpha
										super().__init__(is_encoder_decoder=__lowercase       ,			**__lowercase		)




				@property
				def 					_snake_case  (self		):
										return self.encoder_attention_heads




				@property
				def 					_snake_case  (self		):
										return self.d_model




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				copy.deepcopy(self.__dict__		)
										if self.backbone_config is not None:
																__lowerCAmelCase							       =				self.backbone_config.to_dict()
										__lowerCAmelCase							       =				self.__class__.model_type
										return output


class       a__				( __A      ):







				"""simple docstring"""



				__UpperCamelCase    :		List[str]	=	version.parse('1.11'      )




				@property
				def 					_snake_case  (self		):
										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										        ('''pixel_mask''', {0: '''batch'''}),
										    ]		)




				@property
				def 					_snake_case  (self		):
										return 1e-5




				@property
				def 					_snake_case  (self		):
										return 12





'''simple docstring'''

import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class       a__				( __A							,						unittest.TestCase      ):







				"""simple docstring"""



				__UpperCamelCase    :		int	=	MgpstrTokenizer
				__UpperCamelCase    :		Optional[Any]	=	False
				__UpperCamelCase    :		Optional[int]	=	{}
				__UpperCamelCase    :		List[Any]	=	False




				def 					_snake_case  (self		):
										super().setUp()

										# fmt: off
										__lowerCAmelCase							       =				['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
										# fmt: on
										__lowerCAmelCase							       =				dict(zip(__lowercase       ,			range(len(__lowercase		)		)		)		)

										__lowerCAmelCase							       =				os.path.join(self.tmpdirname       ,			VOCAB_FILES_NAMES['''vocab_file''']		)
										with open(self.vocab_file       ,			'''w'''       ,			encoding='''utf-8'''		) as fp:
																fp.write(json.dumps(__lowercase		) + '''\n'''		)




				def 					_snake_case  (self       ,			**__lowercase		):
										return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,			**__lowercase		)




				def 					_snake_case  (self       ,			__lowercase		):
										__lowerCAmelCase							       =				'''tester'''
										__lowerCAmelCase							       =				'''tester'''
										return input_text, output_text




				@unittest.skip('''MGP-STR always lower cases letters.'''		)
				def 					_snake_case  (self		):
										pass




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers(do_lower_case=__lowercase		)
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase							       =				'''[SPECIAL_TOKEN]'''

																						tokenizer.add_special_tokens({'''cls_token''': special_token}		)
																						__lowerCAmelCase							       =				tokenizer.encode([special_token]       ,			add_special_tokens=__lowercase		)
																						self.assertEqual(len(__lowercase		)       ,			1		)

																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase       ,			skip_special_tokens=__lowercase		)
																						self.assertTrue(special_token not in decoded		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase       ,					__lowerCAmelCase							       =				self.get_input_output_texts(__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.tokenize(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.convert_tokens_to_ids(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.encode(__lowercase       ,			add_special_tokens=__lowercase		)
																						self.assertListEqual(__lowercase       ,			__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.convert_ids_to_tokens(__lowercase		)
																						self.assertNotEqual(len(__lowercase		)       ,			0		)
																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase		)
																						self.assertIsInstance(__lowercase       ,			__lowercase		)

																						self.assertEqual(text_a.replace(''' '''       ,			''''''		)       ,			__lowercase		)




				@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''		)
				def 					_snake_case  (self		):
										pass




				@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''		)
				def 					_snake_case  (self		):
										pass

