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Add files via upload #4

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223 changes: 223 additions & 0 deletions Lab3.ipynb
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Original file line number Diff line number Diff line change
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{
"cells": [
{
"cell_type": "code",
"execution_count": 21,
"id": "3f0b5581-eed4-4b04-bcb3-f441c186c024",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Insert quantity of mugg: 2\n",
"Insert quantity of shirt: 3\n"
]
}
],
"source": [
"\n",
"def initialize_inventory(*products): # **args \n",
" inventory = {}\n",
"\n",
" index=0 \n",
" \n",
" \n",
" while index < len(products):\n",
" item = products[index]\n",
" inventory[item] = int(input(f\"Insert quantity of {item}: \"))\n",
" index += 1 \n",
" \n",
" return inventory\n",
"\n",
"x = initialize_inventory(\"mugg\", \"shirt\")"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "8a1989d4-169b-46f0-8229-dcd5c5c1a9c6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mugg': 2, 'shirt': 3}\n"
]
}
],
"source": [
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "2d9d0928-75c0-4d23-9c62-4e637aba568f",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Insert order: cup\n",
"Do you want to continue yes/no: y\n",
"Insert order: glass\n",
"Do you want to continue yes/no: no\n"
]
}
],
"source": [
"def get_customer_orders():\n",
" x=0\n",
" order= []\n",
" \n",
" while x ==0:\n",
" order.append(input(\"Insert order: \")) \n",
" q = input(\"Do you want to continue yes/no:\")\n",
" if q == \"no\":\n",
" x=1\n",
" return order\n",
"\n",
"\n",
"x= get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "287c46d1-382b-46a4-a0d9-21dc2fc2d9f1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['cup', 'glass']"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "b22fb6fc-6195-4ff9-b0a8-b6337a8a7eed",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Insert the inventory for apple? Currently at 10: 8\n",
"Insert the inventory for banana? Currently at 5: 8\n",
"Insert the inventory for cherry? Currently at 0: 3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'apple': 8, 'banana': 8, 'cherry': 3, 'orange': 3}\n"
]
}
],
"source": [
"def update_inventory(*customer_orders, **inventory):\n",
" for order in customer_orders:\n",
" if order in inventory:\n",
" # Prompt user for the new inventory value\n",
" new_stock = int(input(f\"Insert the inventory for {order}? Currently at {inventory[order]}: \"))\n",
" inventory[order] = new_stock # Update the inventory\n",
" else:\n",
" print(f\"{order} is not in the inventory.\")\n",
"\n",
" # Returning inventory for verification, if needed\n",
" return inventory\n",
"\n",
"# Example usage\n",
"new_inventory = update_inventory('apple', 'banana', 'cherry', apple=10, banana=5, cherry=0, orange=3)\n",
"print(new_inventory)\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "32af3e41-eadd-4d42-bbf2-414fe037dbdf",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(*customer_orders, **products):\n",
" # Count all products ordered, whether duplicates or not\n",
" total_products_ordered = len(customer_orders)\n",
" \n",
" # Create a set to find unique orders\n",
" unique_orders = set(customer_orders)\n",
" total_unique_orders = len(unique_orders)\n",
" \n",
" # Calculate the percentage of unique products ordered\n",
" total_available_products = len(products)\n",
" if total_available_products > 0:\n",
" percentage_of_unique_products_ordered = (total_unique_orders / total_available_products) * 100\n",
" else:\n",
" percentage_of_unique_products_ordered = 0 # Avoid division by zero\n",
"\n",
" return total_products_ordered, percentage_of_unique_products_ordered\n",
"\n",
"# Example usage\n",
"products_info = {'apple': True, 'banana': True, 'cherry': True, 'date': True}\n",
"total_products, unique_percentage = calculate_order_statistics('apple', 'banana', 'cherry', 'apple', **products_info)\n",
"\n",
"print(f\"Total Products Ordered: {total_products}\")\n",
"print(f\"Percentage of Unique Products Ordered: {unique_percentage:.2f}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b207e40d-5cb2-4ce8-9042-046245b2c710",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" # Assume order_statistics is a tuple with two values: (total_products_ordered, percentage_of_unique_products_ordered)\n",
" total_products_ordered = order_statistics[0]\n",
" percentage_of_unique_products_ordered = order_statistics[1]\n",
"\n",
" # Print the statistics in a readable format\n",
" print(f\"Total Products Ordered: {total_products_ordered}\")\n",
" print(f\"Percentage of Unique Products Ordered: {percentage_of_unique_products_ordered:.2f}%\")\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}