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A library with computational and mathematical functions!

Project description

SatClave

A small library implementing graph functions, and other in future

Installation


pip install satclave

Get started

Here are the implementations of SatClave.

Graph

from satclave import Graph

# Create a new graph

graph = Graph()



# Add some vertices

graph.add_vertex(1)

graph.add_vertex(2)

graph.add_vertex(3)

graph.add_vertex(4)



# Add some edges

graph.add_edge(1, 2)

graph.add_edge(2, 3)

graph.add_edge(3, 4)

graph.add_edge(4, 1)



# Print the graph

print("Vertices:", graph.vertices)

print("Edges:", graph.edges)



# Test graph connectivity

print("Is the graph connected?", graph.is_connected())



# Test DFS and BFS

print("DFS:", graph.depth_first_search(1))

print("BFS:", graph.breadth_first_search(1))



# Test shortest path

print("Shortest path from 1 to 3:", graph.get_shortest_path(1, 3))



# Test connected components

print("Connected components:", graph.get_connected_components())



# Test vertex removal

graph.remove_vertex(2)

print("Vertices after removal:", graph.vertices)

print("Edges after removal:", graph.edges)



# Test cycle detection

print("Does the graph contain a cycle?", graph.is_cyclic())

Vector

from vector import Vector



# create two vectors

v1 = Vector([1, 2, 3])

v2 = Vector([4, 5, 6])



# test vector addition and subtraction

v3 = v1 + v2

v4 = v2 - v1

print(f"v1 + v2 = {v3}")  

print(f"v2 - v1 = {v4}") 



# test dot product and cross product

dot_product = v1.dot(v2)

cross_product = v1.cross(v2)

print(f"v1 . v2 = {dot_product}")  

print(f"v1 x v2 = {cross_product}") 



# test vector magnitude and normalization

magnitude_v1 = v1.magnitude()

normalized_v1 = v1.normalize()

print(f"magnitude of v1 = {magnitude_v1}")  

print(f"normalized v1 = {normalized_v1}")  

Project details


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satclave-0.1.2.tar.gz (5.4 kB view hashes)

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