accept order conditionally

test.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -20,17 +20,50 @@
       "17\n",
       "81\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([2, 2])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "import numpy as np\n",
     "\n",
     "np.random.randint(0.5, 3.5)\n",
-    "p_remove = 1\n",
+    "p_remove = 0.9\n",
     "np.random.choice([True, False], p=[p_remove, 1-p_remove])\n",
     "rng = np.random.default_rng(0)\n",
     "for _ in range(10):\n",
-    "    print(rng.integers(0,100))"
+    "    print(rng.integers(0,100))\n",
+    "np.random.choice([1, 2, 3], 2, p=[0.4, 0.4, 0.2])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "share = 0.8\n",
+    "list_succ_firms = [1, 1]\n",
+    "round(share * len(list_succ_firms)) if round(share * len(list_succ_firms)) > 0 else 1"
    ]
   },
   {