merge

ImageCompress/.gitignore

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+ffmpeg.7z

ImageCompress/tmp.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+# 定义初始数组和目标大小
+arr = np.random.rand(10) * 10  # 随机生成10个在0到10之间的数
+TARGET_SIZE = 50
+
+# 计算数组的初始大小和每步的变化量
+current_size = np.sum(arr)
+steps = 100  # 逐步逼近的步数
+scaling_factor = (TARGET_SIZE - current_size) / steps
+
+# 绘图初始化
+fig, ax = plt.subplots()
+line, = ax.plot(arr, marker='o')
+ax.set_ylim(0, max(arr) + 10)
+
+# 逐步逼近目标
+for i in range(steps):
+    arr += scaling_factor * (arr / np.sum(arr))  # 按比例调整数组元素
+    line.set_ydata(arr)  # 更新线条数据
+    plt.title(f'Step {i+1}: Size = {np.sum(arr):.2f}')
+    plt.pause(0.1)  # 动态显示每一步
+plt.show()