affect customer / remove customer up product conditionally

test.ipynb

@@ -2,24 +2,35 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "85\n",
+      "63\n",
+      "51\n",
+      "26\n",
+      "30\n",
+      "4\n",
+      "7\n",
+      "1\n",
+      "17\n",
+      "81\n"
+     ]
     }
    ],
    "source": [
     "import numpy as np\n",
     "\n",
-    "np.random.randint(0.5, 3.5)"
+    "np.random.randint(0.5, 3.5)\n",
+    "p_remove = 1\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))"
    ]
   },
   {
@@ -46,7 +57,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.9.13"
   },
   "orig_nbformat": 4,
   "vscode": {