From 08582f9068c66718b3807f10b95211569a679252 Mon Sep 17 00:00:00 2001
From: Patricia Viladomiu <ciladomiupati@gmail.com>
Date: Sat, 22 Nov 2025 11:50:21 +0100
Subject: [PATCH] Lab Solved

---
 lab-python-functions.ipynb | 165 ++++++++++++++++++++++++++++++++++++-
 1 file changed, 162 insertions(+), 3 deletions(-)

diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb
index 44d337b..a4b7716 100644
--- a/lab-python-functions.ipynb
+++ b/lab-python-functions.ipynb
@@ -43,13 +43,172 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "635fbbb2-c170-4024-be5f-83f1501cd512",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "82e6126b-b349-43c7-967d-81f157346752",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    inventory= {}\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"Enter quantity for {products}: \"))\n",
+    "        inventory[product] = quantity\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "831a4f7e-7910-452b-b3b4-db4ee642bbdd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_customer_orders():\n",
+    "    customer_orders = set()\n",
+    "    \n",
+    "    add_more = \"yes\"\n",
+    "    \n",
+    "    while add_more == \"yes\":\n",
+    "        user_order= input(\"Enter a product: \")\n",
+    "\n",
+    "        if user_order not in products:\n",
+    "            print(\"Invalid product. Try again.\")\n",
+    "            continue\n",
+    "            \n",
+    "        if user_order in customer_orders:\n",
+    "            print(\"Product already chosen. Pick another one.\")\n",
+    "            continue\n",
+    "\n",
+    "        customer_orders.add(user_order)\n",
+    "\n",
+    "        add_more = input(\"Add another product? (yes/no): \").lower()\n",
+    "    \n",
+    "    return customer_orders\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "88a393ee-fcb3-426b-8e3b-43b90a4607ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    update_inventory = {}\n",
+    "    for product in customer_orders:\n",
+    "        if inventory[product] > 0:\n",
+    "            inventory[product] -= 1\n",
+    "        else:\n",
+    "            print(f\"{product} is out of stock.\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "27a8d5eb-7db2-4e64-81a1-7af14feed136",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products): \n",
+    "    total_ordered = len(customer_orders)\n",
+    "    percentage = (total_ordered / len(products)) * 100\n",
+    "    return total_ordered, percentage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f5834ae1-7fed-4f6b-97c5-d833b7303c3b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statics):\n",
+    "    total_ordered, percentage = order_statistics\n",
+    "    print(\"Order Statics\")\n",
+    "    print(f\"Total unique products ordered: {total_ordered}\")\n",
+    "    print(f\"Percentage ordered: {percentage}%\")   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "75a65eee-80ea-4c7a-8c18-6910d5595b86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print(\"Updated inventory\")\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "76d5d31b-d650-4fdc-b87c-57f75a72a070",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  4\n",
+      "Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  4\n",
+      "Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  4\n",
+      "Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  35\n",
+      "Enter quantity for ['t-shirt', 'mug', 'hat', 'book', 'keychain']:  12\n",
+      "Enter a product:  keychain\n",
+      "Add another product? (yes/no):  yes\n",
+      "Enter a product:  book\n",
+      "Add another product? (yes/no):  no\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statics\n",
+      "Total unique products ordered: 2\n",
+      "Percentage ordered: 40.0%\n",
+      "Updated inventory\n",
+      "t-shirt: 4\n",
+      "mug: 4\n",
+      "hat: 4\n",
+      "book: 34\n",
+      "keychain: 11\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = initialize_inventory(products)\n",
+    "customer_orders = get_customer_orders()\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "\n",
+    "order_statistics = calculate_order_statistics(customer_orders, products)\n",
+    "print_order_statistics(order_statistics)\n",
+    "\n",
+    "print_updated_inventory(inventory)"
+   ]
   }
  ],
  "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": {
@@ -61,7 +220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,