From 31632887c500bc85447614fe1f05029af4591561 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Sandra=20Isabel=20Correia=20Gon=C3=A7alves?=
 <sandraicgoncalves@gmail.com>
Date: Sat, 19 Sep 2026 11:51:53 +0100
Subject: [PATCH] Solved lab

---
 .vscode/launch.json              | 18 ++++++++
 lab-python-data-structures.ipynb | 74 +++++++++++++++++++++++++++++++-
 2 files changed, 90 insertions(+), 2 deletions(-)
 create mode 100644 .vscode/launch.json

diff --git a/.vscode/launch.json b/.vscode/launch.json
new file mode 100644
index 00000000..61cb8aba
--- /dev/null
+++ b/.vscode/launch.json
@@ -0,0 +1,18 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        
+
+
+        {
+            "name": "Python Debugger: Current File",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..502160a2 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,81 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #1\n",
+    "inventory = dict.fromkeys(products) #2\n",
+    "print(inventory)\n",
+    "\n",
+    "for product in products:\n",
+    "    inventory[product] = int(input(f\"Quantity of {product}:\")) #3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set() #4\n",
+    "type(customer_orders)\n",
+    "\n",
+    "while len(customer_orders) < 3: #5\n",
+    "    product = input(f\"Choose an item from {customer_orders}:\")\n",
+    "\n",
+    "    if product in products:\n",
+    "        customer_orders.add(product)\n",
+    "    else:\n",
+    "        print(\"That item is not in the list.\")\n",
+    "\n",
+    "print(customer_orders) #6"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total = len(customer_orders) #7\n",
+    "\n",
+    "print(total)\n",
+    "\n",
+    "percentage = len(customer_orders) / len(products) * 100\n",
+    "\n",
+    "print(f\"{percentage:.2f}%\")\n",
+    "\n",
+    "order_status = (\n",
+    "    total, \n",
+    "    f\"{percentage:.2f}%\"\n",
+    ")\n",
+    "print(order_status)\n",
+    "print(f\"Total of Products Ordered: {order_status[0]}\") #8\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for product in inventory: #9\n",
+    "    if inventory[product] > 0:\n",
+    "        inventory[product] -= 1\n",
+    "print(inventory) #10\n",
+    "    "
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +138,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,