analysis

test.ipynb

@@ -65,6 +65,77 @@
     "list_succ_firms = [1, 1]\n",
     "round(share * len(list_succ_firms)) if round(share * len(list_succ_firms)) > 0 else 1"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.17307692307692307, 0.19230769230769232, 0.20192307692307693, 0.21153846153846154, 0.22115384615384615]\n",
+      "[0.14899116146026878, 0.1819782155490595, 0.20111703154812216, 0.22226869439668717, 0.24564489704586234]\n",
+      "[0.10801741721030356, 0.16114305076975205, 0.19682056666851946, 0.2403971829915773, 0.29362178235984765]\n",
+      "[0.07643198434626533, 0.13926815562848321, 0.18799234648997357, 0.25376312466637047, 0.34254438886890737]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import math\n",
+    "size = [18,20,21,22,23]\n",
+    "p = [s / sum(size) for s in size]\n",
+    "print(p)\n",
+    "for beta in [0.1, 0.2, 0.3]:\n",
+    "    damp_size = [math.exp(beta*s) for s in size]\n",
+    "    print([s / sum(damp_size) for s in damp_size])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.16666666666666666, 0.5, 0.6666666666666666, 0.8333333333333334, 1.0]\n",
+      "[0.8359588020779368, 0.9330329915368074, 0.960264500792218, 0.9819330445619127, 1.0]\n",
+      "[0.408248290463863, 0.7071067811865476, 0.816496580927726, 0.9128709291752769, 1.0]\n",
+      "[0.23849484685087588, 0.5743491774985174, 0.7229811807984657, 0.8642810744472068, 1.0]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import math\n",
+    "size = [18,20,21,22,23]\n",
+    "p = [(s - min(size) + 1)/(max(size)-min(size)+1) for s in size]\n",
+    "print(p)\n",
+    "for beta in [0.1, 0.5, 0.8]:\n",
+    "    p = [((s - min(size) + 1)/(max(size)-min(size)+1))**beta for s in size]\n",
+    "    print(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "32\n"
+     ]
+    }
+   ],
+   "source": [
+    "import multiprocess as mp\n",
+    "\n",
+    "print(mp.cpu_count())"
+   ]
   }
  ],
  "metadata": {
@@ -83,7 +154,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.8.8"
   },
   "orig_nbformat": 4,
   "vscode": {