






"""simple docstring"""






import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union


if TYPE_CHECKING:
					from ...processing_utils import ProcessorMixin
					from ...utils import TensorType

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE						:						str					   =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:						Any					   =       {
    '''google/owlvit-base-patch32''': '''https://huggingface.co/google/owlvit-base-patch32/resolve/main/config.json''',
    '''google/owlvit-base-patch16''': '''https://huggingface.co/google/owlvit-base-patch16/resolve/main/config.json''',
    '''google/owlvit-large-patch14''': '''https://huggingface.co/google/owlvit-large-patch14/resolve/main/config.json''',
}





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							List[Any]   			=					"""owlvit_text_model"""


	def __init__(      self  ,					__a=4_9408  ,					__a=512  ,					__a=2048  ,					__a=12  ,					__a=8  ,					__a=16  ,					__a="quick_gelu"  ,					__a=1E-5  ,					__a=0.0  ,					__a=0.02  ,					__a=1.0  ,					__a=0  ,					__a=4_9406  ,					__a=4_9407  ,					**__a  ,					):


					"""simple docstring"""

					super().__init__(pad_token_id=__a  ,					bos_token_id=__a  ,					eos_token_id=__a  ,					**__a						)

					A__							 =       vocab_size
					A__							 =       hidden_size
					A__							 =       intermediate_size
					A__							 =       num_hidden_layers
					A__							 =       num_attention_heads
					A__							 =       max_position_embeddings
					A__							 =       hidden_act
					A__							 =       layer_norm_eps
					A__							 =       attention_dropout
					A__							 =       initializer_range
					A__							 =       initializer_factor






	@classmethod
	def       _UpperCAmelCase						(      cls  ,					__a  ,					**__a						):


					"""simple docstring"""

					cls._set_token_in_kwargs(__a						)

					A__ ,			A__							 =       cls.get_config_dict(__a  ,					**__a						)

					# get the text config dict if we are loading from OwlViTConfig
					if config_dict.get('model_type'						) == "owlvit":
									A__							 =       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(__a  ,					**__a						)





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Any   			=					"""owlvit_vision_model"""


	def __init__(      self  ,					__a=768  ,					__a=3072  ,					__a=12  ,					__a=12  ,					__a=3  ,					__a=768  ,					__a=32  ,					__a="quick_gelu"  ,					__a=1E-5  ,					__a=0.0  ,					__a=0.02  ,					__a=1.0  ,					**__a  ,					):


					"""simple docstring"""

					super().__init__(**__a						)

					A__							 =       hidden_size
					A__							 =       intermediate_size
					A__							 =       num_hidden_layers
					A__							 =       num_attention_heads
					A__							 =       num_channels
					A__							 =       image_size
					A__							 =       patch_size
					A__							 =       hidden_act
					A__							 =       layer_norm_eps
					A__							 =       attention_dropout
					A__							 =       initializer_range
					A__							 =       initializer_factor






	@classmethod
	def       _UpperCAmelCase						(      cls  ,					__a  ,					**__a						):


					"""simple docstring"""

					cls._set_token_in_kwargs(__a						)

					A__ ,			A__							 =       cls.get_config_dict(__a  ,					**__a						)

					# get the vision config dict if we are loading from OwlViTConfig
					if config_dict.get('model_type'						) == "owlvit":
									A__							 =       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(__a  ,					**__a						)





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							List[Any]   			=					"""owlvit"""
	SCREAMING_SNAKE_CASE_:							List[str]   			=					True


	def __init__(      self  ,					__a=None  ,					__a=None  ,					__a=512  ,					__a=2.6592  ,					__a=True  ,					**__a  ,					):


					"""simple docstring"""

					super().__init__(**__a						)

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

					if vision_config is None:
									A__							 =       {}
									logger.info('vision_config is None. initializing the OwlViTVisionConfig with default values.'						)

					A__							 =       OwlViTTextConfig(**__a						)
					A__							 =       OwlViTVisionConfig(**__a						)

					A__							 =       projection_dim
					A__							 =       logit_scale_init_value
					A__							 =       return_dict
					A__							 =       1.0


	@classmethod
	def       _UpperCAmelCase						(      cls  ,					__a  ,					**__a						):


					"""simple docstring"""

					cls._set_token_in_kwargs(__a						)

					A__ ,			A__							 =       cls.get_config_dict(__a  ,					**__a						)

					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(__a  ,					**__a						)


	@classmethod
	def       _UpperCAmelCase						(      cls  ,					__a  ,					__a  ,					**__a						):


					"""simple docstring"""

					A__							 =       {}
					A__							 =       text_config
					A__							 =       vision_config

					return cls.from_dict(__a  ,					**__a						)






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	@property
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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


	@property
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					return OrderedDict(
					    [
					        ('logits_per_image', {0: 'batch'}),
					        ('logits_per_text', {0: 'batch'}),
					        ('text_embeds', {0: 'batch'}),
					        ('image_embeds', {0: 'batch'}),
					    ]						)


	@property
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					return 1E-4


	def       _UpperCAmelCase						(      self  ,					__a  ,					__a = -1  ,					__a = -1  ,					__a = None  ,					):


					"""simple docstring"""

					A__							 =       super().generate_dummy_inputs(
					    processor.tokenizer  ,					batch_size=__a  ,					seq_length=__a  ,					framework=__a						)
					A__							 =       super().generate_dummy_inputs(
					    processor.image_processor  ,					batch_size=__a  ,					framework=__a						)
					return {**text_input_dict, **image_input_dict}






	@property
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					return 14










"""simple docstring"""






class       snake_case_       :



	"""simple docstring"""

	def __init__(      self  ,					__a  ,					__a						):


					"""simple docstring"""

					A__							 =       name
					A__							 =       val


	def __str__(      self						):


					"""simple docstring"""

					return f'''{self.__class__.__name__}({self.name}, {self.val})'''






	def __lt__(      self  ,					__a						):


					"""simple docstring"""

					return self.val < other.val





class       snake_case_       :



	"""simple docstring"""

	def __init__(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       {}
					A__							 =       {}
					A__							 =       self.build_heap(__a						)


	def __getitem__(      self  ,					__a						):


					"""simple docstring"""

					return self.get_value(__a						)


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return (idx - 1) // 2


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return idx * 2 + 1


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return idx * 2 + 2


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return self.heap_dict[key]


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       len(__a						) - 1
					A__							 =       self.get_parent_idx(__a						)

					for idx, i in enumerate(__a						):
									A__							 =       idx
									A__							 =       i.val

					for i in range(__a  ,					-1  ,					-1						):
									self.sift_down(__a  ,					__a						)
					return array


	def       _UpperCAmelCase						(      self  ,					__a  ,					__a						):


					"""simple docstring"""

					while True:
									A__							 =       self.get_left_child_idx(__a						)  # noqa: E741
									A__							 =       self.get_right_child_idx(__a						)

									A__							 =       idx
									if l < len(__a						) and array[l] < array[idx]:
													A__							 =       l
									if r < len(__a						) and array[r] < array[smallest]:
													A__							 =       r

									if smallest != idx:
													A__ ,			A__							 =       array[smallest], array[idx]
													(
													    (
													    A__
													) ,			(
													    A__
													) ,			
													)							 =       (
													    self.idx_of_element[array[smallest]],
													    self.idx_of_element[array[idx]],
													)
													A__							 =       smallest
									else:
													break


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					A__							 =       self.get_parent_idx(__a						)
					while p >= 0 and self.heap[p] > self.heap[idx]:
									A__ ,			A__							 =       self.heap[idx], self.heap[p]
									A__ ,			A__							 =       (
									    self.idx_of_element[self.heap[idx]],
									    self.idx_of_element[self.heap[p]],
									)
									A__							 =       p
									A__							 =       self.get_parent_idx(__a						)


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					return self.heap[0]


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__ ,			A__							 =       self.heap[-1], self.heap[0]
					A__ ,			A__							 =       (
					    self.idx_of_element[self.heap[-1]],
					    self.idx_of_element[self.heap[0]],
					)

					A__							 =       self.heap.pop()
					del self.idx_of_element[x]
					self.sift_down(0  ,					self.heap						)
					return x


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					self.heap.append(__a						)
					A__							 =       len(self.heap						) - 1
					A__							 =       node.val
					self.sift_up(len(self.heap						) - 1						)


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					return len(self.heap						) == 0






	def       _UpperCAmelCase						(      self  ,					__a  ,					__a						):


					"""simple docstring"""

					assert (
					    self.heap[self.idx_of_element[node]].val > new_value
					), "newValue must be less that current value"
					A__							 =       new_value
					A__							 =       new_value
					self.sift_up(self.idx_of_element[node]						)





SCREAMING_SNAKE_CASE						:						List[str]					   =       Node('''R''', -1)
SCREAMING_SNAKE_CASE						:						Tuple					   =       Node('''B''', 6)
SCREAMING_SNAKE_CASE						:						List[Any]					   =       Node('''A''', 3)
SCREAMING_SNAKE_CASE						:						int					   =       Node('''X''', 1)
SCREAMING_SNAKE_CASE						:						Union[str, Any]					   =       Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
SCREAMING_SNAKE_CASE						:						str					   =       MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
					print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
					print(i)

if __name__ == "__main__":
					import doctest

					doctest.testmod()


