mirror of
https://github.com/kuhyx/testsAndMisc-archive.git
synced 2026-07-04 14:43:04 +02:00
97 lines
2.7 KiB
C
97 lines
2.7 KiB
C
#include <stdio.h>
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#include <stdlib.h>
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// Function to calculate symmetric weights for both even and odd N
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void calculate_symmetric_weights(int N, double middle_weight, double* factors, double* weights) {
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int half_N = N / 2;
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int i;
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weights[half_N] = middle_weight; // Middle value for symmetry
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// Calculate left side weights
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if (factors) {
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for (i = 0; i < half_N; i++) {
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if (i == 0) {
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weights[half_N - i - 1] = middle_weight + factors[i];
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} else {
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weights[half_N - i - 1] = weights[half_N - i] + factors[i];
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}
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}
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} else {
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for (i = 0; i < half_N; i++) {
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weights[half_N - i - 1] = middle_weight - (i + 1);
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}
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}
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// Mirror left side weights to right side
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for (i = 0; i < half_N; i++) {
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weights[half_N + i + 1] = weights[half_N - i - 1];
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}
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}
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// Function to scale the weights so that their sum is proportional to X
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void scale_to_total(double X, double* weights, int N, double* distances) {
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double total_weight = 0;
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int i;
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// Calculate the total weight
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for (i = 0; i < N; i++) {
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total_weight += weights[i];
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}
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double base_unit = X / total_weight;
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// Scale weights
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for (i = 0; i < N; i++) {
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distances[i] = base_unit * weights[i];
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}
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}
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// Function to split X into N parts symmetrically
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void split_x_into_n_symmetrically(double X, int N, double* factors, double* distances) {
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double* weights = (double*)malloc(N * sizeof(double));
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calculate_symmetric_weights(N, 1.0, factors, weights);
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scale_to_total(X, weights, N, distances);
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free(weights);
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}
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// Function to split X into N parts, with a specific middle value
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void split_x_into_n_middle(double X, int N, double middle_value, double* distances) {
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double* weights = (double*)malloc(N * sizeof(double));
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calculate_symmetric_weights(N, middle_value, NULL, weights);
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scale_to_total(X, weights, N, distances);
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free(weights);
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}
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// Example usage
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int main() {
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int N = 5;
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double X = 100;
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double middle_value = 5.0;
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double distances[5];
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// Example usage for split_x_into_n_middle
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split_x_into_n_middle(X, N, middle_value, distances);
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printf("Split values (with middle value = %.2f):\n", middle_value);
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for (int i = 0; i < N; i++) {
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printf("%.2f ", distances[i]);
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}
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printf("\n");
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// Example usage for split_x_into_n_symmetrically
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double factors[2] = {1.0, 2.0};
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split_x_into_n_symmetrically(X, N, factors, distances);
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printf("Split values (symmetric with factors):\n");
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for (int i = 0; i < N; i++) {
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printf("%.2f ", distances[i]);
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}
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printf("\n");
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return 0;
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}
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