






from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar




class 						UpperCAmelCase_  (		SCREAMING_SNAKE_CASE__    ):


						'''simple docstring'''




						@abstractmethod
						def __lt__(		self						, _SCREAMING_SNAKE_CASE )       -> bool:
								pass






						@abstractmethod
						def __gt__(		self						, _SCREAMING_SNAKE_CASE )       -> bool:
								pass






						@abstractmethod
						def __eq__(		self						, _SCREAMING_SNAKE_CASE )       -> bool:
								pass




lowercase     :							Any	     =			TypeVar('''T''', bound=Comparable)




class 						UpperCAmelCase_  (		Generic[T]    ):


						'''simple docstring'''




						def __init__(		self )       -> None:
								snake_case_ :							list[T]         =				[]
								snake_case_ :							int         =				0






						def __repr__(		self )       -> str:
								return str(self.h )






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> int | None:
								if child_idx > 0:
										return (child_idx - 1) // 2
								return None






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> int | None:
								snake_case_ :							Optional[Any]         =				2 * parent_idx + 1
								if left_child_index < self.heap_size:
										return left_child_index
								return None






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> int | None:
								snake_case_ :							int         =				2 * parent_idx + 2
								if right_child_index < self.heap_size:
										return right_child_index
								return None






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> None:
								if index < self.heap_size:
										snake_case_ :							int         =				index
										snake_case_ :							str         =				self.left_child_idx(_SCREAMING_SNAKE_CASE )
										snake_case_ :							List[str]         =				self.right_child_idx(_SCREAMING_SNAKE_CASE )
										# check which child is larger than its parent
										if left_child is not None and self.h[left_child] > self.h[violation]:
												snake_case_ :							Union[str, Any]         =				left_child
										if right_child is not None and self.h[right_child] > self.h[violation]:
												snake_case_ :							Any         =				right_child
										# if violation indeed exists
										if violation != index:
												# swap to fix the violation
												snake_case_       ,				snake_case_ :							Union[str, Any]         =				self.h[index], self.h[violation]
												# fix the subsequent violation recursively if any
												self.max_heapify(_SCREAMING_SNAKE_CASE )






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> None:
								snake_case_ :							str         =				list(_SCREAMING_SNAKE_CASE )
								snake_case_ :							List[str]         =				len(self.h )
								if self.heap_size > 1:
										# max_heapify from right to left but exclude leaves (last level)
										for i in range(self.heap_size // 2 - 1						, -1						, -1 ):
												self.max_heapify(_SCREAMING_SNAKE_CASE )






						def 					_lowerCAmelCase				(		self )       -> T:
								if self.heap_size >= 2:
										snake_case_ :							int         =				self.h[0]
										snake_case_ :							List[Any]         =				self.h.pop(-1 )
										self.heap_size -= 1
										self.max_heapify(0 )
										return me
								elif self.heap_size == 1:
										self.heap_size -= 1
										return self.h.pop(-1 )
								else:
										raise Exception("Empty heap" )






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE )       -> None:
								self.h.append(_SCREAMING_SNAKE_CASE )
								snake_case_ :							Tuple         =				(self.heap_size - 1) // 2
								self.heap_size += 1
								while idx >= 0:
										self.max_heapify(_SCREAMING_SNAKE_CASE )
										snake_case_ :							int         =				(idx - 1) // 2






						def 					_lowerCAmelCase				(		self )       -> None:
								snake_case_ :							int         =				self.heap_size
								for j in range(size - 1						, 0						, -1 ):
										snake_case_       ,				snake_case_ :							Optional[int]         =				self.h[j], self.h[0]
										self.heap_size -= 1
										self.max_heapify(0 )
								snake_case_ :							List[Any]         =				size


if __name__ == "__main__":
							import doctest

							# run doc test
							doctest.testmod()

							# demo
							for unsorted in [
							    [0],
							    [2],
							    [3, 5],
							    [5, 3],
							    [5, 5],
							    [0, 0, 0, 0],
							    [1, 1, 1, 1],
							    [2, 2, 3, 5],
							    [0, 2, 2, 3, 5],
							    [2, 5, 3, 0, 2, 3, 0, 3],
							    [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
							    [1_03, 9, 1, 7, 11, 15, 25, 2_01, 2_09, 1_07, 5],
							    [-45, -2, -5],
							]:
														print(F"""unsorted array: {unsorted}""")

														lowercase     :							Heap[int]	     =			Heap()
														heap.build_max_heap(unsorted)
														print(F"""after build heap: {heap}""")

														print(F"""max value: {heap.extract_max()}""")
														print(F"""after max value removed: {heap}""")

														heap.insert(1_00)
														print(F"""after new value 100 inserted: {heap}""")

														heap.heap_sort()
														print(F"""heap-sorted array: {heap}\n""")








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


lowercase     :							Any	     =			logging.get_logger(__name__)

lowercase     :							int	     =			{
    # pcqm4mv1 now deprecated
    '''graphormer-base''': '''https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json''',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}




class 						UpperCAmelCase_  (		SCREAMING_SNAKE_CASE__    ):


						'''simple docstring'''




						A   :      Optional[int]						 =    'graphormer'
						A   :      List[str]						 =    ['past_key_values']






						def __init__(		self						, _SCREAMING_SNAKE_CASE = 1						, _SCREAMING_SNAKE_CASE = 512 * 9						, _SCREAMING_SNAKE_CASE = 512 * 3						, _SCREAMING_SNAKE_CASE = 512						, _SCREAMING_SNAKE_CASE = 512						, _SCREAMING_SNAKE_CASE = 512						, _SCREAMING_SNAKE_CASE = 128						, _SCREAMING_SNAKE_CASE = 5						, _SCREAMING_SNAKE_CASE = 1024						, _SCREAMING_SNAKE_CASE = "multi_hop"						, _SCREAMING_SNAKE_CASE = 512						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = 12						, _SCREAMING_SNAKE_CASE = 768						, _SCREAMING_SNAKE_CASE = 768						, _SCREAMING_SNAKE_CASE = 32						, _SCREAMING_SNAKE_CASE = 0.1						, _SCREAMING_SNAKE_CASE = 0.1						, _SCREAMING_SNAKE_CASE = 0.0						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = "gelu"						, _SCREAMING_SNAKE_CASE = None						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = 0						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = 0.0						, _SCREAMING_SNAKE_CASE = 8						, _SCREAMING_SNAKE_CASE = None						, _SCREAMING_SNAKE_CASE = None						, _SCREAMING_SNAKE_CASE = True						, _SCREAMING_SNAKE_CASE = True						, _SCREAMING_SNAKE_CASE=0						, _SCREAMING_SNAKE_CASE=1						, _SCREAMING_SNAKE_CASE=2						, **_SCREAMING_SNAKE_CASE						, )       -> List[str]:
								snake_case_ :							str         =				num_classes
								snake_case_ :							Union[str, Any]         =				num_atoms
								snake_case_ :							Dict         =				num_in_degree
								snake_case_ :							Union[str, Any]         =				num_out_degree
								snake_case_ :							List[Any]         =				num_edges
								snake_case_ :							Union[str, Any]         =				num_spatial
								snake_case_ :							int         =				num_edge_dis
								snake_case_ :							List[Any]         =				edge_type
								snake_case_ :							Any         =				multi_hop_max_dist
								snake_case_ :							Tuple         =				spatial_pos_max
								snake_case_ :							Union[str, Any]         =				max_nodes
								snake_case_ :							str         =				num_hidden_layers
								snake_case_ :							str         =				embedding_dim
								snake_case_ :							List[str]         =				embedding_dim
								snake_case_ :							Dict         =				ffn_embedding_dim
								snake_case_ :							Any         =				num_attention_heads
								snake_case_ :							List[str]         =				dropout
								snake_case_ :							List[str]         =				attention_dropout
								snake_case_ :							Optional[Any]         =				layerdrop
								snake_case_ :							Optional[int]         =				encoder_normalize_before
								snake_case_ :							Union[str, Any]         =				pre_layernorm
								snake_case_ :							int         =				apply_graphormer_init
								snake_case_ :							List[Any]         =				activation_fn
								snake_case_ :							str         =				embed_scale
								snake_case_ :							int         =				freeze_embeddings
								snake_case_ :							Optional[Any]         =				num_trans_layers_to_freeze
								snake_case_ :							int         =				share_input_output_embed
								snake_case_ :							int         =				traceable
								snake_case_ :							Tuple         =				q_noise
								snake_case_ :							Tuple         =				qn_block_size

								# These parameters are here for future extensions
								# atm, the model only supports self attention
								snake_case_ :							List[Any]         =				kdim
								snake_case_ :							Tuple         =				vdim
								snake_case_ :							Any         =				self_attention
								snake_case_ :							Any         =				bias

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