Lab flow solved

lab-python-flow-control.ipynb

@@ -37,13 +37,146 @@
     "\n",
     "3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for  the products that were ordered (those in \"customer_orders\")."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "7627ade6-b90f-4cdd-8c5b-e0ef5c2dbbe6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c4bed7c1-4925-477d-8fc9-731f655ea7f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b13c38df-ac9d-4876-b774-78b8acab388f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Number of t-shirt:  22\n",
+      "Number of mug:  25\n",
+      "Number of hat:  24\n",
+      "Number of book:  27\n",
+      "Number of keychain:  22\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 22, 'mug': 25, 'hat': 24, 'book': 27, 'keychain': 22}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for item in products:\n",
+    "    inventory[item] = int(input(\"Number of \" + item + \": \"))\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "15658d90-5d7b-49b3-b959-192b53962115",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set ()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "afc1f4f5-f6a2-4320-ab7d-3fbe3a75800b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Choose a product:  hat\n",
+      "Do you want something else? (yes/no):  yes\n",
+      "Choose a product:  book\n",
+      "Do you want something else? (yes/no):  no\n"
+     ]
+    }
+   ],
+   "source": [
+    "answer = \"yes\"\n",
+    "while answer == \"yes\":\n",
+    "    product = input(\"Choose a product: \")\n",
+    "    customer_orders.add(product)\n",
+    "    answer = input(\"Do you want something else? (yes/no): \").lower()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "77fdbfa3-0cb4-4ebc-b01a-19f176a00f76",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Customer orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "dc523683-9cbd-4391-a1be-0ffacc25d7ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 22, 'mug': 25, 'hat': 23, 'book': 26, 'keychain': 22}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in customer_orders:\n",
+    "    if i in inventory:\n",
+    "        inventory[i] -= 1\n",
+    "print (inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0e3ccd4-47b5-40a1-b5e5-fa83c2d158f8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -55,7 +188,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,