解释这一段command: - /bin/bash - -c - | cd backend cp .env.dev.docker .env php -d memory_limit=-1 `which composer` i --no-dev rm -rf runtime/* php bin/hyperf.php start

以下是一个简单的 C 语言高斯模糊代码示例：

#include <stdio.h>
#include <stdlib.h>
#include <math.h>

#define PI 3.14159265358979323846

void gaussian_blur(int *input, int *output, int width, int height, float sigma) {
    int size = (int)(sigma * 6) + 1;
    int half_size = size / 2;
    float *kernel = (float *)malloc(size * sizeof(float));
    float sum = 0.0;
    for (int i = 0; i < size; i++) {
        kernel[i] = exp(-0.5 * pow((i - half_size) / sigma, 2.0)) / (sqrt(2 * PI) * sigma);
        sum += kernel[i];
    }
    for (int i = 0; i < size; i++) {
        kernel[i] /= sum;
    }
    for (int y = 0; y < height; y++) {
        for (int x = 0; x < width; x++) {
            float value = 0.0;
            for (int i = -half_size; i <= half_size; i++) {
                int index = x + i;
                if (index < 0) {
                    index = 0;
                }
                if (index >= width) {
                    index = width - 1;
                }
                value += kernel[i + half_size] * input[y * width + index];
            }
            output[y * width + x] = (int)value;
        }
    }
    free(kernel);
}

int main() {
    int width = 5;
    int height = 5;
    int input[] = { 1, 2, 3, 4, 5,
                    6, 7, 8, 9, 10,
                    11, 12, 13, 14, 15,
                    16, 17, 18, 19, 20,
                    21, 22, 23, 24, 25 };
    int *output = (int *)malloc(width * height * sizeof(int));
    gaussian_blur(input, output, width, height, 1.0);
    for (int y = 0; y < height; y++) {
        for (int x = 0; x < width; x++) {
            printf("%d ", output[y * width + x]);
        }
        printf("\n");
    }
    free(output);
    return 0;
}

这个代码使用了高斯核函数来进行图像模糊处理，其中 sigma 参数表示高斯核函数的标准差，size 参数表示高斯核函数的大小。