


import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a : str		=				logging.get_logger(__name__)

a : Optional[Any]		=				{
    '''google/pix2struct-textcaps-base''': (
        '''https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'''
    ),
}
class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				"pix2struct_text_model"
					__UpperCAmelCase            =				["past_key_values"]
					__UpperCAmelCase            =				{
					    "hidden_size": "hidden_size",
					    "num_attention_heads": "num_heads",
					    "num_hidden_layers": "num_layers",
					}






					def __init__(				self ,       snake_case_=5_0_2_4_4 ,       snake_case_=7_6_8 ,       snake_case_=6_4 ,       snake_case_=2_0_4_8 ,       snake_case_=1_2 ,       snake_case_=1_2 ,       snake_case_=3_2 ,       snake_case_=1_2_8 ,       snake_case_=0.1 ,       snake_case_=1e-6 ,       snake_case_=1.0 ,       snake_case_="gelu_new" ,       snake_case_=0 ,       snake_case_=False ,       snake_case_=0 ,       snake_case_=1 ,       snake_case_=False ,       snake_case_=True ,       **snake_case_ ,       )   ->			List[Any]:







								'''simple docstring'''

								__lowercase 					=   vocab_size
								__lowercase 					=   hidden_size
								__lowercase 					=   d_kv
								__lowercase 					=   d_ff
								__lowercase 					=   num_layers
								__lowercase 					=   num_heads
								__lowercase 					=   relative_attention_num_buckets
								__lowercase 					=   relative_attention_max_distance
								__lowercase 					=   dropout_rate
								__lowercase 					=   layer_norm_epsilon
								__lowercase 					=   initializer_factor
								__lowercase 					=   use_cache

								__lowercase 					=   eos_token_id
								__lowercase 					=   decoder_start_token_id

								# for backwards compatibility
								__lowercase 					=   dense_act_fn

								super().__init__(
								    pad_token_id=snake_case_ ,       eos_token_id=snake_case_ ,       decoder_start_token_id=snake_case_ ,       tie_word_embeddings=snake_case_ ,       is_decoder=snake_case_ ,       **snake_case_ ,       )






					@classmethod
					def A      (				cls ,       snake_case_ ,       **snake_case_						)   ->			"PretrainedConfig":







								'''simple docstring'''

								cls._set_token_in_kwargs(snake_case_						)

								__lowercase					, __lowercase 					=   cls.get_config_dict(snake_case_ ,       **snake_case_						)

								# get the text config dict if we are loading from Pix2StructConfig
								if config_dict.get('''model_type'''						) == "pix2struct":
											__lowercase 					=   config_dict['''text_config''']

								if "model_type" in config_dict and hasattr(cls ,       '''model_type'''						) and config_dict["model_type"] != cls.model_type:
											logger.warning(
											    F'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
											    F'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'						)

								return cls.from_dict(snake_case_ ,       **snake_case_						)




class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				"pix2struct_vision_model"






					def __init__(				self ,       snake_case_=7_6_8 ,       snake_case_=7_6_8 ,       snake_case_=2_0_4_8 ,       snake_case_=6_4 ,       snake_case_=1_2 ,       snake_case_=1_2 ,       snake_case_="gelu_new" ,       snake_case_=1e-6 ,       snake_case_=0.0 ,       snake_case_=0.0 ,       snake_case_=1e-1_0 ,       snake_case_=1.0 ,       snake_case_=4_0_9_6 ,       snake_case_=3_2 ,       snake_case_=1_2_8 ,       **snake_case_ ,       )   ->			Any:







								'''simple docstring'''

								super().__init__(**snake_case_						)

								__lowercase 					=   hidden_size
								__lowercase 					=   patch_embed_hidden_size
								__lowercase 					=   d_ff
								__lowercase 					=   dropout_rate
								__lowercase 					=   num_hidden_layers
								__lowercase 					=   num_attention_heads
								__lowercase 					=   initializer_range
								__lowercase 					=   initializer_factor
								__lowercase 					=   attention_dropout
								__lowercase 					=   layer_norm_eps
								__lowercase 					=   dense_act_fn
								__lowercase 					=   seq_len
								__lowercase 					=   relative_attention_num_buckets
								__lowercase 					=   relative_attention_max_distance
								__lowercase 					=   d_kv






					@classmethod
					def A      (				cls ,       snake_case_ ,       **snake_case_						)   ->			"PretrainedConfig":







								'''simple docstring'''

								cls._set_token_in_kwargs(snake_case_						)

								__lowercase					, __lowercase 					=   cls.get_config_dict(snake_case_ ,       **snake_case_						)

								# get the vision config dict if we are loading from Pix2StructConfig
								if config_dict.get('''model_type'''						) == "pix2struct":
											__lowercase 					=   config_dict['''vision_config''']

								if "model_type" in config_dict and hasattr(cls ,       '''model_type'''						) and config_dict["model_type"] != cls.model_type:
											logger.warning(
											    F'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
											    F'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'						)

								return cls.from_dict(snake_case_ ,       **snake_case_						)




class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				"pix2struct"
					__UpperCAmelCase            =				True






					def __init__(				self ,       snake_case_=None ,       snake_case_=None ,       snake_case_=1.0 ,       snake_case_=0.0_2 ,       snake_case_=False ,       snake_case_=False ,       snake_case_=True ,       **snake_case_ ,       )   ->			Union[str, Any]:







								'''simple docstring'''

								super().__init__(tie_word_embeddings=snake_case_ ,       is_encoder_decoder=snake_case_ ,       **snake_case_						)

								if text_config is None:
											__lowercase 					=   {}
											logger.info('''text_config is None. Initializing the Pix2StructTextConfig with default values.'''						)

								if vision_config is None:
											__lowercase 					=   {}
											logger.info('''vision_config is None. Initializing the Pix2StructVisionConfig with default values.'''						)

								__lowercase 					=   PixaStructTextConfig(**snake_case_						)
								__lowercase 					=   PixaStructVisionConfig(**snake_case_						)

								__lowercase 					=   self.text_config.decoder_start_token_id
								__lowercase 					=   self.text_config.pad_token_id
								__lowercase 					=   self.text_config.eos_token_id

								__lowercase 					=   initializer_factor
								__lowercase 					=   initializer_range

								__lowercase 					=   self.initializer_range
								__lowercase 					=   self.initializer_range

								__lowercase 					=   is_vqa






					@classmethod
					def A      (				cls ,       snake_case_ ,       snake_case_ ,       **snake_case_						)   ->			Tuple:







								'''simple docstring'''

								return cls(text_config=text_config.to_dict() ,       vision_config=vision_config.to_dict() ,       **snake_case_						)






					def A      (				self						)   ->			Optional[Any]:







								'''simple docstring'''

								__lowercase 					=   copy.deepcopy(self.__dict__						)
								__lowercase 					=   self.text_config.to_dict()
								__lowercase 					=   self.vision_config.to_dict()
								__lowercase 					=   self.__class__.model_type
								return output






import unittest

from knapsack import knapsack as k
class 	lowerCamelCase_       (				unittest.TestCase				):



					'''simple docstring'''







					def A      (				self						)   ->			Optional[Any]:







								'''simple docstring'''

								__lowercase 					=   0
								__lowercase 					=   [0]
								__lowercase 					=   [0]
								__lowercase 					=   len(snake_case_						)
								self.assertEqual(k.knapsack(snake_case_ ,       snake_case_ ,       snake_case_ ,       snake_case_						) ,       0						)

								__lowercase 					=   [6_0]
								__lowercase 					=   [1_0]
								__lowercase 					=   len(snake_case_						)
								self.assertEqual(k.knapsack(snake_case_ ,       snake_case_ ,       snake_case_ ,       snake_case_						) ,       0						)






					def A      (				self						)   ->			Tuple:







								'''simple docstring'''

								__lowercase 					=   3
								__lowercase 					=   [1, 2, 3]
								__lowercase 					=   [3, 2, 1]
								__lowercase 					=   len(snake_case_						)
								self.assertEqual(k.knapsack(snake_case_ ,       snake_case_ ,       snake_case_ ,       snake_case_						) ,       5						)






					def A      (				self						)   ->			str:







								'''simple docstring'''

								__lowercase 					=   5_0
								__lowercase 					=   [6_0, 1_0_0, 1_2_0]
								__lowercase 					=   [1_0, 2_0, 3_0]
								__lowercase 					=   len(snake_case_						)
								self.assertEqual(k.knapsack(snake_case_ ,       snake_case_ ,       snake_case_ ,       snake_case_						) ,       2_2_0						)


if __name__ == "__main__":
	unittest.main()


