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vfmt: change all '$expr' to '${expr}' (#16428)
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@@ -69,7 +69,7 @@ fn updating_priority<T>(mut prior_queue []T, search_data int, new_priority int)
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i++
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// all the list was examined
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if i >= lenght_pq {
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print('\n This data $search_data does exist ... PRIORITY QUEUE problem\n')
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print('\n This data ${search_data} does exist ... PRIORITY QUEUE problem\n')
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exit(1) // panic(s string)
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}
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} // end for
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@@ -98,7 +98,7 @@ fn all_adjacents<T>(g [][]T, v int) []int {
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fn print_solution<T>(dist []T) {
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print('Vertex \tDistance from Source')
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for node in 0 .. (dist.len) {
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print('\n $node ==> \t ${dist[node]}')
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print('\n ${node} ==> \t ${dist[node]}')
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}
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}
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@@ -107,7 +107,7 @@ fn print_paths_dist<T>(path []T, dist []T) {
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print('\n Read the nodes from right to left (a path): \n')
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for node in 1 .. (path.len) {
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print('\n $node ')
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print('\n ${node} ')
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mut i := node
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for path[i] != -1 {
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print(' <= ${path[i]} ')
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@@ -231,7 +231,7 @@ fn main() {
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graph = g_value.clone() // graphs_sample[g].clone() // choice your SAMPLE
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// allways starting by node 0
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start_node := 0
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println('\n\n Graph ${index + 1} using Dijkstra algorithm (source node: $start_node)')
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println('\n\n Graph ${index + 1} using Dijkstra algorithm (source node: ${start_node})')
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dijkstra(graph, start_node)
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}
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