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


_snake_case     :   Optional[int]			=						logging.get_logger(__name__)

_snake_case     :   Union[str, Any]			=						{
    # 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 					_snake_case						(						_a				):
					lowerCamelCase__:		int  =     "graphormer"
					lowerCamelCase__:		List[str]  =     ["past_key_values"]
					def __init__(  self:				List[Any]	,  __lowerCamelCase:				Any = 1	,  __lowerCamelCase:				List[str] = 5_12 * 9	,  __lowerCamelCase:				List[Any] = 5_12 * 3	,  __lowerCamelCase:				List[Any] = 5_12	,  __lowerCamelCase:				Optional[Any] = 5_12	,  __lowerCamelCase:				str = 5_12	,  __lowerCamelCase:				Dict = 1_28	,  __lowerCamelCase:				List[Any] = 5	,  __lowerCamelCase:				Any = 10_24	,  __lowerCamelCase:				Any = "multi_hop"	,  __lowerCamelCase:				Optional[Any] = 5_12	,  __lowerCamelCase:				Optional[Any] = False	,  __lowerCamelCase:				Union[str, Any] = 12	,  __lowerCamelCase:				Union[str, Any] = 7_68	,  __lowerCamelCase:				Any = 7_68	,  __lowerCamelCase:				List[Any] = 32	,  __lowerCamelCase:				Union[str, Any] = 0.1	,  __lowerCamelCase:				List[str] = 0.1	,  __lowerCamelCase:				Dict = 0.0	,  __lowerCamelCase:				Optional[Any] = False	,  __lowerCamelCase:				Dict = False	,  __lowerCamelCase:				str = False	,  __lowerCamelCase:				Tuple = "gelu"	,  __lowerCamelCase:				int = None	,  __lowerCamelCase:				Optional[int] = False	,  __lowerCamelCase:				Optional[int] = 0	,  __lowerCamelCase:				Dict = False	,  __lowerCamelCase:				List[Any] = 0.0	,  __lowerCamelCase:				str = 8	,  __lowerCamelCase:				List[str] = None	,  __lowerCamelCase:				Union[str, Any] = None	,  __lowerCamelCase:				Optional[Any] = True	,  __lowerCamelCase:				Any = True	,  __lowerCamelCase:				int=0	,  __lowerCamelCase:				str=1	,  __lowerCamelCase:				Any=2	,  **__lowerCamelCase:				List[Any]	,  )    ->				Tuple:
												__UpperCAmelCase						:			List[str]         =   num_classes
												__UpperCAmelCase						:			Optional[int]         =   num_atoms
												__UpperCAmelCase						:			List[Any]         =   num_in_degree
												__UpperCAmelCase						:			int         =   num_out_degree
												__UpperCAmelCase						:			str         =   num_edges
												__UpperCAmelCase						:			Dict         =   num_spatial
												__UpperCAmelCase						:			List[Any]         =   num_edge_dis
												__UpperCAmelCase						:			List[str]         =   edge_type
												__UpperCAmelCase						:			Dict         =   multi_hop_max_dist
												__UpperCAmelCase						:			str         =   spatial_pos_max
												__UpperCAmelCase						:			Any         =   max_nodes
												__UpperCAmelCase						:			List[Any]         =   num_hidden_layers
												__UpperCAmelCase						:			List[str]         =   embedding_dim
												__UpperCAmelCase						:			Union[str, Any]         =   embedding_dim
												__UpperCAmelCase						:			Optional[int]         =   ffn_embedding_dim
												__UpperCAmelCase						:			List[Any]         =   num_attention_heads
												__UpperCAmelCase						:			Union[str, Any]         =   dropout
												__UpperCAmelCase						:			int         =   attention_dropout
												__UpperCAmelCase						:			Tuple         =   layerdrop
												__UpperCAmelCase						:			int         =   encoder_normalize_before
												__UpperCAmelCase						:			Any         =   pre_layernorm
												__UpperCAmelCase						:			List[str]         =   apply_graphormer_init
												__UpperCAmelCase						:			List[Any]         =   activation_fn
												__UpperCAmelCase						:			Any         =   embed_scale
												__UpperCAmelCase						:			str         =   freeze_embeddings
												__UpperCAmelCase						:			List[Any]         =   num_trans_layers_to_freeze
												__UpperCAmelCase						:			List[Any]         =   share_input_output_embed
												__UpperCAmelCase						:			Any         =   traceable
												__UpperCAmelCase						:			List[str]         =   q_noise
												__UpperCAmelCase						:			List[Any]         =   qn_block_size

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

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





from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize




class 					_snake_case						(						_lowercase				):
					lowerCamelCase__:		Tuple  =     1
					lowerCamelCase__:		Dict  =     2
					lowerCamelCase__:		List[str]  =     3
					def __repr__(  self:				List[Any]     )    ->				int:
												return f'''{self.__class__.__name__}.{self.name}'''




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__							)						->   float:
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Optional[Any]         =   point
							return degrees(atana(y - miny,    x - minx							)							)




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__							)						->   Direction:
							__UpperCAmelCase    ,	__UpperCAmelCase						:			List[Any]         =   starting
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Optional[int]         =   via
							__UpperCAmelCase    ,	__UpperCAmelCase						:			List[str]         =   target
							__UpperCAmelCase						:			Tuple         =   degrees(atana(ya - ya,    xa - xa							)							)
							via_angle %= 360
							__UpperCAmelCase						:			str         =   degrees(atana(ya - ya,    xa - xa							)							)
							target_angle %= 360
							# t-
							#  \ \
							#   \ v
							#    \|
							#     s
							# via_angle is always lower than target_angle, if direction is left.
							# If they are same, it means they are on a same line of convex hull.
							if target_angle > via_angle:
														return Direction.left
							elif target_angle == via_angle:
														return Direction.straight
							else:
														return Direction.right







def   _UpperCamelCase   (			snake_case__							)						->   list[tuple[int, int]]:

							if len(snake_case__							) <= 2:
														# There is no convex hull
														raise ValueError("graham_scan: argument must contain more than 3 points."							)
							if len(snake_case__							) == 3:
														return points
							# find the lowest and the most left point
							__UpperCAmelCase						:			str         =   0
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Any         =   maxsize, maxsize
							for i, point in enumerate(snake_case__							):
														__UpperCAmelCase						:			str         =   point[0]
														__UpperCAmelCase						:			Any         =   point[1]
														if y < miny:
																					__UpperCAmelCase						:			Tuple         =   y
																					__UpperCAmelCase						:			int         =   x
																					__UpperCAmelCase						:			str         =   i
														if y == miny and x < minx:
																					__UpperCAmelCase						:			Any         =   x
																					__UpperCAmelCase						:			Dict         =   i

    # remove the lowest and the most left point from points for preparing for sort
							points.pop(snake_case__							)

							__UpperCAmelCase						:			Any         =   sorted(snake_case__,    key=lambda snake_case__							: angle_comparer(snake_case__,    snake_case__,    snake_case__							)							)
							# This insert actually costs complexity,
							# and you should instead add (minx, miny) into stack later.
							# I'm using insert just for easy understanding.
							sorted_points.insert(0,    (minx, miny)							)

							__UpperCAmelCase						:			deque[tuple[int, int]]         =   deque()
							stack.append(sorted_points[0]							)
							stack.append(sorted_points[1]							)
							stack.append(sorted_points[2]							)
							# In any ways, the first 3 points line are towards left.
							# Because we sort them the angle from minx, miny.
							__UpperCAmelCase						:			Any         =   Direction.left

							for i in range(3,    len(snake_case__							)							):
														while True:
																					__UpperCAmelCase						:			List[Any]         =   stack[-2]
																					__UpperCAmelCase						:			Tuple         =   stack[-1]
																					__UpperCAmelCase						:			Any         =   sorted_points[i]
																					__UpperCAmelCase						:			Optional[Any]         =   check_direction(snake_case__,    snake_case__,    snake_case__							)

																					if next_direction == Direction.left:
																												__UpperCAmelCase						:			Optional[int]         =   Direction.left
																												break
																					if next_direction == Direction.straight:
																												if current_direction == Direction.left:
																																			# We keep current_direction as left.
																																			# Because if the straight line keeps as straight,
																																			# we want to know if this straight line is towards left.
																																			break
																												elif current_direction == Direction.right:
																																			# If the straight line is towards right,
																																			# every previous points on those straigh line is not convex hull.
																																			stack.pop()
																					if next_direction == Direction.right:
																												stack.pop()
														stack.append(sorted_points[i]							)
							return list(snake_case__							)




