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add Strategy pattern
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‎Strategy/.ipynb_checkpoints/Strategy-checkpoint.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Strategy - Defina uma família de algoritmos, encapsule cada um e torne-os intercambiáveis. A estratégia permite que o algoritmo varie independentemente dos clientes que o utilizam.\n",
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"\n",
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"### Mais Informações:\n",
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"- https://sourcemaking.com/design_patterns/strategy\n",
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"- https://brizeno.wordpress.com/2011/08/31/strategy/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import abc"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Context to use the strategy\n",
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"class Classifier:\n",
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" def __init__(self, strategy=None):\n",
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" self._strategy = strategy\n",
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"\n",
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" def set_strategy(self, strategy):\n",
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" self._strategy = strategy\n",
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" \n",
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" def apply(self):\n",
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" if self._strategy==None:\n",
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" print('There is no strategy!')\n",
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" else:\n",
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" self._strategy.algorithm()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Strategy Interface - Common to all supported algorithms\n",
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"class Strategy(metaclass=abc.ABCMeta):\n",
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" @abc.abstractmethod\n",
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" def algorithm(self):\n",
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" pass"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Strategy 01 - MLP\n",
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"class MLP_Strategy(Strategy):\n",
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" def algorithm(self):\n",
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" print('> Running MLP Algorithm..')\n",
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"\n",
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"# Strategy 02 - SVM\n",
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"class SVM_Strategy(Strategy):\n",
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" def algorithm(self):\n",
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" print('> Running SVM Algorithm..')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"> Running MLP Algorithm..\n",
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"> Running SVM Algorithm..\n",
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"There is no strategy!\n"
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]
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}
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],
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"source": [
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"# Instantiate Strategies\n",
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"strategy_mlp = MLP_Strategy()\n",
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"strategy_svm = SVM_Strategy()\n",
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"\n",
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"# Instantiate classifier context\n",
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"classifier = Classifier(strategy_mlp)\n",
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"classifier.apply()\n",
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"\n",
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"# Set other strategy\n",
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"classifier.set_strategy(strategy_svm)\n",
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"classifier.apply()\n",
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"\n",
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"# Remove current strategy\n",
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"classifier.set_strategy(None)\n",
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"classifier.apply()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎Strategy/Strategy.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
5+
"metadata": {},
6+
"source": [
7+
"### Strategy - Defina uma família de algoritmos, encapsule cada um e torne-os intercambiáveis. A estratégia permite que o algoritmo varie independentemente dos clientes que o utilizam.\n",
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"\n",
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"### Mais Informações:\n",
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"- https://sourcemaking.com/design_patterns/strategy\n",
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"- https://brizeno.wordpress.com/2011/08/31/strategy/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import abc"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Context to use the strategy\n",
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"class Classifier:\n",
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" def __init__(self, strategy=None):\n",
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" self._strategy = strategy\n",
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"\n",
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" def set_strategy(self, strategy):\n",
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" self._strategy = strategy\n",
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" \n",
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" def apply(self):\n",
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" if self._strategy==None:\n",
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" print('There is no strategy!')\n",
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" else:\n",
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" self._strategy.algorithm()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Strategy Interface - Common to all supported algorithms\n",
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"class Strategy(metaclass=abc.ABCMeta):\n",
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" @abc.abstractmethod\n",
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" def algorithm(self):\n",
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" pass"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Strategy 01 - MLP\n",
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"class MLP_Strategy(Strategy):\n",
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" def algorithm(self):\n",
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" print('> Running MLP Algorithm..')\n",
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"\n",
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"# Strategy 02 - SVM\n",
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"class SVM_Strategy(Strategy):\n",
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" def algorithm(self):\n",
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" print('> Running SVM Algorithm..')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"> Running MLP Algorithm..\n",
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"> Running SVM Algorithm..\n",
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"There is no strategy!\n"
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]
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}
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],
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"source": [
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"# Instantiate Strategies\n",
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"strategy_mlp = MLP_Strategy()\n",
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"strategy_svm = SVM_Strategy()\n",
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"\n",
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"# Instantiate classifier context\n",
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"classifier = Classifier(strategy_mlp)\n",
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"classifier.apply()\n",
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"\n",
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"# Set other strategy\n",
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"classifier.set_strategy(strategy_svm)\n",
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"classifier.apply()\n",
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"\n",
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"# Remove current strategy\n",
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"classifier.set_strategy(None)\n",
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"classifier.apply()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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