将下面代码[cost_path, cost_distance] = dijkstra(g, start_node, end_node, cost_func, wait_cost_func)补全成一个对应matlab函数代码

以下是将Python代码转换为MATLAB函数代码的示例：

function [cost_path, cost_distance] = dijkstra(g, start_node, end_node, cost_func, wait_cost_func)
% Dijkstra's algorithm to find the shortest path in a graph
% g: the graph in adjacency list format
% start_node: the starting node
% end_node: the ending node
% cost_func: a function handle that returns the cost of traversing an edge
% wait_cost_func: a function handle that returns the cost of waiting at a node
% cost_path: the shortest path from start_node to end_node
% cost_distance: the total distance of the shortest path

n = numel(g); % number of nodes in the graph
dist = Inf(1, n); % initialize the distance vector
prev = zeros(1, n); % initialize the previous node vector
visited = false(1, n); % initialize the visited vector
dist(start_node) = 0; % set the starting node distance to zero

while ~all(visited) % loop until all nodes are visited
    [~, u] = min(dist(~visited)); % find the unvisited node with the smallest distance
    visited(u) = true; % mark the node as visited

    for v = g{u} % loop through the neighbors of u
        if ~visited(v) % if the neighbor is unvisited
            alt = dist(u) + cost_func(u, v) + wait_cost_func(v, dist(u) + cost_func(u, v)); % calculate the alternative distance
            if alt < dist(v) % if the alternative distance is smaller than the current distance
                dist(v) = alt; % update the distance vector
                prev(v) = u; % update the previous node vector
            end
        end
    end
end

% construct the shortest path
path = end_node;
while path(1) ~= start_node
    path = [prev(path(1)), path];
end

% calculate the total distance of the shortest path
distance = dist(end_node);

% output the results
cost_path = path;
cost_distance = distance;
end

注意：在MATLAB中，您需要声明函数名称以及输入和输出参数。另外，MATLAB不支持Python中的列表（list），因此在MATLAB中使用了单元数组（cell array）来表示邻接表。