Programming දන්න අය

[Dragon Kolla]

aluthin seen ekata enter une bois
google collab eken thamai meka run krnne

mkkd me prashne ?

 

[Solo Rider]

සම්පූර්න කොඩ් එක දාපන්
මොකද්ද මෙ කරන්න හදන්නෙ, read_nodes method එකට param විදියට nodes_file.txt පාස් කරන්නද හදන්නෙ

nodes_file.txt මෙක ඉම්පොර්ට් කරන්න ඕන ඇති
chatgpt දාපන් error එකත් එක්ක

 

[Dragon Kolla]

සම්පූර්න කොඩ් එක දාපන්
මොකද්ද මෙ කරන්න හදන්නෙ, read_nodes method එකට param විදියට nodes_file.txt පාස් කරන්නද හදන්නෙ

nodes_file.txt මෙක ඉම්පොර්ට් කරන්න ඕන ඇති
chatgpt දාපන් error එකත් එක්ක

menna meka run krnna yanne

import heapq

def read_nodes(file_path):
    with open(file_path, 'r') as file:
        return [tuple(map(float, line.split())) for line in file]

def read_edges(file_path):
    with open(file_path, 'r') as file:
        return [tuple(map(float, line.split())) for line in file]

def read_points_of_interest(file_path):
    with open(file_path, 'r') as file:
        return [line.split() for line in file]

def build_graph(nodes, edges):
    graph = {int(node_id): {} for node_id, _, _ in nodes}
    for edge_id, start_node, end_node, l2_distance in edges:
        graph[int(start_node)][int(end_node)] = l2_distance
        graph[int(end_node)][int(start_node)] = l2_distance  # Assuming undirected edges
    return graph

def build_traffic_data(points_of_interest, categories):
    traffic_data = {int(node_id): {} for _, node_id, _ in points_of_interest}
    for poi_category, longitude, latitude in points_of_interest:
        for node_id, _, _ in points_of_interest:
            weight = 1.0  # Default weight
            if poi_category in categories:
                weight = categories[poi_category]
            traffic_data[int(node_id)][int(node_id)] = weight
    return traffic_data

def modified_dijkstra(graph, source, destination, traffic_data):
    distances = {node: float('infinity') for node in graph}
    distances[source] = 0
    priority_queue = [(0, source)]

    while priority_queue:
        current_distance, current_node = heapq.heappop(priority_queue)

        if current_distance > distances[current_node]:
            continue

        for neighbor, weight in graph[current_node].items():
            dynamic_weight = weight * (1 + traffic_data[current_node].get(neighbor, 0))
            distance = current_distance + dynamic_weight

            if distance < distances[neighbor]:
                distances[neighbor] = distance
                heapq.heappush(priority_queue, (distance, neighbor))

    return distances[destination]

# Example usage:
source_node = 1
destination_node = 3

optimized_distance = modified_dijkstra(graph, source_node, destination_node, traffic_data)
print(f"Optimized Distance from Node {source_node} to Node {destination_node}: {optimized_distance}")

Replace the file paths in nodes_file, edges_file, and poi_file with the actual paths to your text files containing nodes, edges, and points of interest data, respectively. Also, make sure that your text files are formatted correctly.

Note: You'll need to implement the actual Modified Dynamic Weight Dijkstra's Algorithm in the modified_dijkstra function, as the provided code contains a placeholder comment for that part.

 

[Max_r]

ado meka chatgpt damma uttarayak deno
harida danna itin... (mn melo magulak danne na neh)

t looks like there's a minor issue with the indentation of your functions, and also, there's a logical error in the build_traffic_data function. The for node_id, _, _ in points_of_interest loop is not using the correct variables. Here's the corrected code:

 

[Dragon Kolla]

ado meka chatgpt damma uttarayak deno
harida danna itin... (mn melo magulak danne na neh)

t looks like there's a minor issue with the indentation of your functions, and also, there's a logical error in the build_traffic_data function. The for node_id, _, _ in points_of_interest loop is not using the correct variables. Here's the corrected code:

thanks.

bt error eka kohed tynne kiyl hoyagnna bane bn

 

[gamerlk]

File path එක දෙපැත්තට " " දාපන්

එකපාරටම program ගහන්න කලින් චුට්ටක් ඔය ලන්වේජ් එක ස්ටඩි කොරා නම් මොකෝ?

 

[TNHM]

Invalid variable name ekak. Dot thiyenna ba variable wala. Ube function eke argument eke Dot ekak thiyenawa.
node_file.txt => invalid
node_file_text => valid

 

[Dragon Kolla]

Invalid variable name ekak. Dot thiyenna ba variable wala. Ube function eke argument eke Dot ekak thiyenawa.
node_file.txt => invalid
node_file_text => valid

ela. meka tama aula

 

[TNHM]

ela. meka tama aula

https://users.cs.utah.edu/~lifeifei/research/tpq/CA
mcn me list eke tyna points of interest wala nam tika ganna kramayak tynwa

airport', 'forest', 'lake'

me wage

from urllib.request import urlopen
link = "https://users.cs.utah.edu/~lifeifei/research/tpq/CA"
f = urlopen(link)
list = []
for l in f:
    t = l.decode().split(' ')[0];
    if t not in list:
        list.append(t)
print(list)

Loop karana gaman split කරලා list එකට add කරන්න first index එක

 

[kavindagk]

file_name = "node_file.txt"

def read_nodes(file_name):

nathnam


def read_nodes("node_file.txt" ):

me 2kin 1k use karala balanne