创建3个子图，分别绘制cos(x2)、sin(2x)和tan(2Πx)。 要求：① 三张图的线条（颜色、形状、粗细）能够区分开来； ② 尽可能显示出波形变化规律，绘制的线条较为流畅； ③ 其他可以美化图片的辅助功能（可选）

} else if (dir->type == 1 && strcmp(dir->name, token) == 0) {
strcpy(dir->name, newname);
pthread_mutex_unlock(&mutex);
return 0;
}
dir = dir->next;
}
if好的，我明白了。以下是绘制三个子图的 Python 代码：

import numpy as np
 (sub == NULL) {
            pthread_mutex_unlock(&mutex);
            return -1;
        }
        dir = sub;
        token = strtok(NULL, "/");
    }
    pthread_mutex_unlock(&mutex);
    return -1;
}

// 创建文件
int open(char* pathimport matplotlib.pyplot as plt

# 定义 x 值的范围和精度
x = np.linspace(-2*np.pi, 2) {
    pthread_mutex_lock(&mutex);
    int i, j, k;
    directory* dir = root;
    char* token =*np.pi, 1000)

# 绘制第一个子图：cos(x^2)
fig, ax1 = plt.subplots()
ax strtok(path, "/");
    while (token != NULL) {
        directory* sub = NULL;
        while (dir != NULL) {
           1.plot(x, np.cos(x**2), color='blue', linewidth=1, linestyle='-', label='cos(x^2)')
ax if (dir->type == 0 && strcmp(dir->name, token) == 0) {
                sub = dir->u.subdir;
                break;
            }
            dir = dir->next;
        }
        if (sub == NULL) {
            pthread_mutex_unlock(&1.set_xlabel('x')
ax1.set_ylabel('cos(x^2)', color='blue')
ax1.tick_params('y', colors='mutex);
            return -1;
        }
        dir = sub;
        token = strtok(NULL, "/");
    }
    inode* node =blue')
ax1.legend(loc='upper left')

# 绘制第二个子图：sin(2x)
ax2 = ax1 allocate_inode();
    node->size = 0;
    node->ctime = time(NULL);
    for (i = 0; i <.twinx()
ax2.plot(x, np.sin(2*x), color='red', linewidth=1, linestyle='--', label=' 256; i++) {
        node->index[i] = -1;
    }
    directory* file = (directory*)malloc(sizeof(directorysin(2x)')
ax2.set_ylabel('sin(2x)', color='red')
ax2.tick_params('y', colors='red));
    strcpy(file->name, path);
    file->parent = dir;
    file->type = 1;
    file->u.file = node;
    file->next = dir->u.subdir;
    dir->u.subdir = file;
    pthread_mutex_unlock(&mutex')
ax2.legend(loc='upper right')

# 绘制第三个子图：tan(2πx)
fig, ax3 =);
    return 0;
}

// 修改文件
int modify(char* path, char* data, int size) {
    pthread_mutex_lock plt.subplots()
ax3.plot(x, np.tan(2*np.pi*x), color='green', linewidth=1, linestyle=':', label(&mutex);
    int i, j, k;
    directory* dir = root;
    char* token = strtok(path, "/");
    while (token != NULL) {
        directory* sub = NULL;
        while (dir != NULL) {
            if (dir->type == ='tan(2πx)')
ax3.set_xlabel('x')
ax3.set_ylabel('tan(2πx)', color='green')
0 && strcmp(dir->name, token) == 0) {
                sub = dir->u.subdir;
                break;
            } elseax3.tick_params('y', colors='green')
ax3.legend(loc='upper left')

# 显示图形
plt.show()

if (dir->type == 1 && strcmp(dir->name, token) == 0) {
inode* node = dir->u.file;
int block_num = (size - 1) / BLOCK_SIZE + 1;
for (i = 0; i < 256; i++) {
if (node->index[i] != -1 && i >= block_num) {
free_block(node上述代码中，使用了 `numpy` 和 `matplotlib` 库。其中，`numpy.linspace` 函数用于生成 x 值的->index[i]);
node->index[i] = -1;
}
}
for (i = 0; i <范围和精度，`plt.subplots()` 函数用于创建子图。在绘制每个子图时，使用了 ` block_num; i++) {
if (node->index[i] == -1) {
node->index[i] = allocate_block();
}
memcpy(disk[node->index[i]].data, data + i * BLOCK_SIZE, BLOCK_SIZE);
}
nodeplot` 函数来绘制曲线，同时指定了线条的颜色、形状和粗细。为了让三->size = size;
pthread_mutex_unlock(&mutex);
return size;
}
dir = dir->next;
}
if (sub == NULL) {
pthread_mutex_unlock(&mutex);
return -1;
}
dir = sub;
token个子图的线条能够区分开来，我们使用了不同的线条样式和颜色。同时， = strtok(NULL, "/");
}
pthread_mutex_unlock(&mutex);
return -1;
}

// 删除文件
int rm(char*为了更好地显示波形变化规律，我们使用了较高的精度和较流畅的线条。 path) {
pthread_mutex_lock(&mutex);
int i, j, k;
directory* dir = root;
directory* parent = NULL;
char* token = strtok(path, "/");
while (token != NULL) {
parent = dir;
dir = NULL最后，使用 `legend` 函数添加图例，并使用 `tick_params` 来调整坐标轴刻度的颜色。