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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#| default_exp deck"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Deck\n",
"> A deck of cards"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#| hide\n",
"from nbdev.showdoc import *"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"from fastai_learning.card import *\n",
"from fastcore.test import *\n",
"from fastcore.utils import *\n",
"from random import random"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"class Deck:\n",
" def __init__(self):\n",
" self.cards = [Card(suit, rank) for suit in range(4) for rank in range(1, 14)]\n",
" def __str__(self):\n",
" return '|'.join([str(card) for card in self.cards])\n",
" def __len__(self):\n",
" return len(self.cards)\n",
" def __contains__(self, card):\n",
" return card in self.cards\n",
" __repr__ = __str__\n",
" def shuffle(self):\n",
" \"\"\"shuffles the cards in this deck\"\"\"\n",
" random.shuffle(self.cards)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As a reminder, these are the ranks and suits:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": "['♦️', '♣️', '♥️', '♣️']"
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"suits"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"deck = Deck()\n",
"test_eq(len(deck), 52)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": "True"
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Card(2, 2) in deck"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2♥️\n"
]
}
],
"source": [
"print(Card(2, 2))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"@patch\n",
"def pop(\n",
" self: Deck,\n",
" idx: int = -1 # index of card to remove, default to last card\n",
"):\n",
" \"\"\"Remove one card from the deck\"\"\"\n",
" return self.cards.pop(idx)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"deck = Deck()\n",
"test_eq(deck.pop(), Card(3, 13))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": "---\n\n### Deck.shuffle\n\n> Deck.shuffle ()\n\nshuffles the cards in this deck",
"text/plain": "---\n\n### Deck.shuffle\n\n> Deck.shuffle ()\n\nshuffles the cards in this deck"
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show_doc(Deck.shuffle)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "python3",
"language": "python",
"name": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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