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flow control #533

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123 changes: 122 additions & 1 deletion lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,127 @@
"\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": 27,
"id": "2411affc-d8c5-4233-9ce9-e2d1dd08e2a3",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter name of product: mug\n",
"Enter yes or no to add another product: yes\n",
"Enter name of product: book\n",
"Enter yes or no to add another product: no\n"
]
},
{
"data": {
"text/plain": [
"{'book', 'mug'}"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"x=len(products)\n",
"customer_order=set()\n",
"count=0\n",
"\n",
"for count in range(x):\n",
" name=input(\"Enter name of product: \")\n",
" if name in products:\n",
" customer_order.add(name)\n",
" ask=input(\"Enter yes or no to add another product: \")\n",
" if ask==\"yes\":\n",
" count+=1\n",
" elif ask==\"no\":\n",
" break\n",
" else:\n",
" print(\"please add available\")\n",
" \n",
"customer_order\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "d3e3747f-cde3-457f-bdce-5cc67df1ccf2",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity: 2\n",
"Enter quantity: 3\n",
"Enter quantity: 4\n",
"Enter quantity: 5\n",
"Enter quantity: 6\n"
]
},
{
"data": {
"text/plain": [
"{'t-shirt': 2, 'mug': 3, 'hat': 4, 'book': 5, 'keychain': 6}"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory=dict()\n",
"for i in products:\n",
" quantity=int(input(\"Enter quantity: \"))\n",
" inventory[i]=quantity\n",
" \n",
"inventory \n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "942af08b-0509-4542-bb91-f1fca1712d06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 2, 'mug': 2, 'hat': 4, 'book': 4, 'keychain': 6}"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"for i in customer_order:\n",
" if i in inventory:\n",
" inventory[i]-=1\n",
"\n",
"inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7d94412c-23c0-4bac-b222-c7f21408f294",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -55,7 +176,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down