From 93f7550387fcd08a0399992b315fe3302ba222e6 Mon Sep 17 00:00:00 2001
From: Monika Sinha <moni@Monikas-MacBook-Air.local>
Date: Sun, 8 Mar 2026 12:20:31 +0100
Subject: [PATCH] Solved lab

---
 lab-python-flow-control.ipynb | 127 +++++++++++++++++++++++++++++++++-
 1 file changed, 124 insertions(+), 3 deletions(-)

diff --git a/lab-python-flow-control.ipynb b/lab-python-flow-control.ipynb
index f4c7391..92f171e 100644
--- a/lab-python-flow-control.ipynb
+++ b/lab-python-flow-control.ipynb
@@ -37,13 +37,134 @@
     "\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": 1,
+   "id": "863664a2-71ce-4b17-819e-7a1812fd9120",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "quantity of t-shirt available in the inventory:  22\n",
+      "quantity of mug available in the inventory:  34\n",
+      "quantity of hat available in the inventory:  45\n",
+      "quantity of book available in the inventory:  65\n",
+      "quantity of keychain available in the inventory:  76\n"
+     ]
+    }
+   ],
+   "source": [
+    "products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory={}\n",
+    "inventory[\"t-shirt\"]=int(input(\"quantity of t-shirt available in the inventory: \"))\n",
+    "inventory[\"mug\"]=int(input(\"quantity of mug available in the inventory: \"))\n",
+    "inventory[\"hat\"]=int(input(\"quantity of hat available in the inventory: \"))\n",
+    "inventory[\"book\"]=int(input(\"quantity of book available in the inventory: \"))\n",
+    "inventory[\"keychain\"]=int(input(\"quantity of keychain available in the inventory: \"))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "65848c54-3545-470f-ab1d-10a5e41641e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "input order : hat\n",
+      "if you want to add another product (yes/no): yes\n",
+      "input order : book\n",
+      "if you want to add another product (yes/no): no\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'hat'}\n",
+      "2\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "customer_orders=set() \n",
+    "add_another_product=\"yes\"\n",
+    "\n",
+    "while add_another_product== \"yes\" :\n",
+    "    x=input(\"input order :\")\n",
+    "    customer_orders.add(x)\n",
+    "    add_another_product=input(\"if you want to add another product (yes/no):\")\n",
+    "\n",
+    "print(customer_orders)\n",
+    "\n",
+    "total_products_ordered=len(customer_orders)\n",
+    "print(total_products_ordered)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f4e8f26a-03e9-41fc-bf62-224a7379b382",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 40.0\n",
+      "{'t-shirt': 22, 'mug': 34, 'hat': 42, 'book': 62, 'keychain': 76}\n",
+      "('t-shirt', 22)\n",
+      "('mug', 34)\n",
+      "('hat', 42)\n",
+      "('book', 62)\n",
+      "('keychain', 76)\n",
+      "dict_items([('t-shirt', 22), ('mug', 34), ('hat', 42), ('book', 62), ('keychain', 76)])\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "percentage_ordered=len(customer_orders)/len(products)*100\n",
+    "order_status=(total_products_ordered,percentage_ordered)\n",
+    "print(\"Order Statistics:\")\n",
+    "print(\"Total Products Ordered: \"+ str(total_products_ordered))\n",
+    "print(\"Percentage of Products Ordered: \"+ str(percentage_ordered))\n",
+    "\n",
+    "for item in customer_orders:\n",
+    "    inventory[item]=inventory[item]-1\n",
+    "    \n",
+    "print (inventory)\n",
+    "\n",
+    "for item in inventory.items() :\n",
+    "    print(item)\n",
+    "\n",
+    "print(inventory.items())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e5b646a5-82b3-4e02-bf21-4a56cd4cc9d9",
+   "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 +176,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,