添加对Save_in_next_Trainning的SideChannel支持

Aimbot-PPO-Python/Pytorch/Archive/test2.ipynb

@@ -181,30 +181,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0.]])"
+       "3"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import numpy as np\n",
-    "np.zeros((8, 4))"
+    "y=\"a;b;c\"\n",
+    "len(y.split(\";\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2]\n"
+     ]
+    }
+   ],
+   "source": [
+    "a = np.array([1,2,3,4])\n",
+    "print(a[[False,True,False,False]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1, 2, 3, 4}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = {1,2,3}\n",
+    "a.add(4)\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([3, 4])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = np.array([[1,3],[2,4]])\n",
+    "a.max(axis=1)\n"
    ]
   }
  ],