


# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

UpperCAmelCase_				:			Optional[Any]   =	TypeVar('T')
class 			SCREAMING_SNAKE_CASE__  (    Generic[T]      ):
      def __init__(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	bool = True					)		->      None:
             a_ :		dict[T, list[T]]							=  {}  # dictionary of lists
             a_ :		Tuple							=  directed
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	T					,							SCREAMING_SNAKE_CASE__    :	T					)		->      GraphAdjacencyList[T]:

             if not self.directed:  # For undirected graphs
                    # if both source vertex and destination vertex are both present in the
                    # adjacency list, add destination vertex to source vertex list of adjacent
                    # vertices and add source vertex to destination vertex list of adjacent
                    # vertices.
                    if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                           self.adj_list[source_vertex].append(SCREAMING_SNAKE_CASE__					)
                           self.adj_list[destination_vertex].append(SCREAMING_SNAKE_CASE__					)
                    # if only source vertex is present in adjacency list, add destination vertex
                    # to source vertex list of adjacent vertices, then create a new vertex with
                    # destination vertex as key and assign a list containing the source vertex
                    # as it's first adjacent vertex.
                    elif source_vertex in self.adj_list:
                           self.adj_list[source_vertex].append(SCREAMING_SNAKE_CASE__					)
                           a_ :		List[str]							=  [source_vertex]
                    # if only destination vertex is present in adjacency list, add source vertex
                    # to destination vertex list of adjacent vertices, then create a new vertex
                    # with source vertex as key and assign a list containing the source vertex
                    # as it's first adjacent vertex.
                    elif destination_vertex in self.adj_list:
                           self.adj_list[destination_vertex].append(SCREAMING_SNAKE_CASE__					)
                           a_ :		Optional[int]							=  [destination_vertex]
                    # if both source vertex and destination vertex are not present in adjacency
                    # list, create a new vertex with source vertex as key and assign a list
                    # containing the destination vertex as it's first adjacent vertex also
                    # create a new vertex with destination vertex as key and assign a list
                    # containing the source vertex as it's first adjacent vertex.
                    else:
                           a_ :		Union[str, Any]							=  [destination_vertex]
                           a_ :		List[Any]							=  [source_vertex]
             else:  # For directed graphs
                    # if both source vertex and destination vertex are present in adjacency
                    # list, add destination vertex to source vertex list of adjacent vertices.
                    if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                           self.adj_list[source_vertex].append(SCREAMING_SNAKE_CASE__					)
                    # if only source vertex is present in adjacency list, add destination
                    # vertex to source vertex list of adjacent vertices and create a new vertex
                    # with destination vertex as key, which has no adjacent vertex
                    elif source_vertex in self.adj_list:
                           self.adj_list[source_vertex].append(SCREAMING_SNAKE_CASE__					)
                           a_ :		int							=  []
                    # if only destination vertex is present in adjacency list, create a new
                    # vertex with source vertex as key and assign a list containing destination
                    # vertex as first adjacent vertex
                    elif destination_vertex in self.adj_list:
                           a_ :		List[str]							=  [destination_vertex]
                    # if both source vertex and destination vertex are not present in adjacency
                    # list, create a new vertex with source vertex as key and a list containing
                    # destination vertex as it's first adjacent vertex. Then create a new vertex
                    # with destination vertex as key, which has no adjacent vertex
                    else:
                           a_ :		Any							=  [destination_vertex]
                           a_ :		Optional[Any]							=  []

             return self

      def __repr__(	self    :	Any					)		->      str:
             return pformat(self.adj_list					)






from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase_				:			str   =	1.054571817e-34  # unit of ℏ : J * s

UpperCAmelCase_				:			Dict   =	3e8  # unit of c : m * s^-1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      float  ,   __A			:      float  ,   __A			:      float    )     ->		dict[str, float]:

       """simple docstring"""

       if (force, area, distance).count(0    ) != 1:
              raise ValueError('One and only one argument must be 0'    )
       if force < 0:
              raise ValueError('Magnitude of force can not be negative'    )
       if distance < 0:
              raise ValueError('Distance can not be negative'    )
       if area < 0:
              raise ValueError('Area can not be negative'    )
       if force == 0:
              a_ :		Optional[Any]							=  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
                  2_40 * (distance) ** 4
              )
              return {"force": force}
       elif area == 0:
              a_ :		List[str]							=  (2_40 * force * (distance) ** 4) / (
                  REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
              )
              return {"area": area}
       elif distance == 0:
              a_ :		Tuple							=  (
                  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_40 * force)
              ) ** (1 / 4)
              return {"distance": distance}
       raise ValueError('One and only one argument must be 0'    )


# Run doctest
if __name__ == "__main__":
   import doctest

   doctest.testmod()


