better stabilized score mechanisms
This commit is contained in:
Jonas Weinz
parent
d9b37a4d54
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366
Evaluation/GeneratedRecipes.ipynb
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366
Evaluation/GeneratedRecipes.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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"## Generated Recipes for evaluation"
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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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"import sys\n",
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"sys.path.append(\"../\")\n",
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"sys.path.append(\"../EvolutionaryAlgorithm/\")"
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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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"import EvolutionaryAlgorithm as EA"
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]
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},
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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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"### Noodle recipes\n",
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"* generate noodle recipes with a population size of 50 over 50 cycles and choose randomly 5 from the 20 best"
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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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"source": [
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"p = EA.Population([\"noodle\"],['noodle'], min_additional=4, max_additional=13, n_population = 50)\n",
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"\n",
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"p.run(50)\n",
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"\n",
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"samples = EA.np.random.choice(p.population[:10], 5)\n",
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"\n",
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"for i, s in enumerate(samples):\n",
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" display(EA.Markdown(f\"### Noodle Recipe {i+1}\"))\n",
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" display(s.root().to_instruction().to_markdown())"
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]
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},
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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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"### Rice recipes\n",
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"* generate noodle recipes with a population size of 50 over 50 cycles and choose randomly 5 from the 20 best"
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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": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "791ec7b41eb94717b800e114d9f56861",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"HBox(children=(FloatProgress(value=0.0, description='build initial population', max=50.0, style=ProgressStyle(…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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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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"\n"
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]
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "da397fc1a8cf4cc9b760f9c000351682",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"HBox(children=(FloatProgress(value=0.0, description='run evolutionary cycles', max=50.0, style=ProgressStyle(d…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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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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"\n"
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]
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},
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{
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"data": {
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"text/markdown": [
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"### Rice Recipe 1"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"**Ingredients**:\n",
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" * rice\n",
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" * olive oil\n",
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" * chicken broth\n",
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" * celery\n",
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" * mushroom soup\n",
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"\n",
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"\n",
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"**Instructions**:\n",
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"\n",
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"| Step | Instruction |\n",
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"| ----:|:----------- |\n",
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"| 1 | chop celery and mix it with chicken broth and mushroom soup. Then simmer it. |\n",
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"| 2 | Mix rice and olive oil. Then warm it. |\n",
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"| 3 | Mix together the results of step 1 and step 2. |\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Rice Recipe 2"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"**Ingredients**:\n",
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" * soy sauce\n",
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" * spinach\n",
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" * garlic\n",
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" * rice\n",
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" * olive oil\n",
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" * onion\n",
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" * clove garlic\n",
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" * chicken\n",
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" * red kidney bean\n",
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" * tomato\n",
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" * celery\n",
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" * cheese\n",
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" * mushroom soup\n",
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"\n",
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"\n",
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"**Instructions**:\n",
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"\n",
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"| Step | Instruction |\n",
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"| ----:|:----------- |\n",
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"| 1 | heat and simmer clove garlic |\n",
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"| 2 | cut and cut tomato |\n",
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"| 3 | wash chicken, grate onion, cut celery, chop spinach, slice olive oil and mix it with garlic, soy sauce, rice, red kidney bean and mushroom soup and mix it together with the results of step 1 and step 2. Then cook it. |\n",
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"| 4 | grate cheese and mix it together with the results of step 3. |\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Rice Recipe 3"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"**Ingredients**:\n",
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" * green pea\n",
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" * rice\n",
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" * water\n",
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" * olive oil\n",
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" * onion\n",
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" * chicken broth\n",
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" * clove garlic\n",
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" * chicken\n",
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" * chicken soup\n",
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" * pepper\n",
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" * ground beef\n",
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"\n",
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"\n",
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"**Instructions**:\n",
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"\n",
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"| Step | Instruction |\n",
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"| ----:|:----------- |\n",
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"| 1 | saute and slice olive oil |\n",
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"| 2 | boil and heat clove garlic |\n",
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"| 3 | pour chicken soup, pour chicken broth, grate onion, brown rice, chop chicken and mix it with ground beef, water, pepper and green pea and mix it together with the results of step 1 and step 2. Then heat it. |\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Rice Recipe 4"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"**Ingredients**:\n",
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" * green pea\n",
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" * corn\n",
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" * garlic\n",
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" * rice\n",
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" * olive oil\n",
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" * sprout\n",
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" * onion\n",
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" * chicken broth\n",
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" * clove garlic\n",
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" * pepper\n",
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" * ground beef\n",
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"\n",
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"\n",
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"**Instructions**:\n",
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"\n",
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"| Step | Instruction |\n",
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"| ----:|:----------- |\n",
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"| 1 | grate onion, chop clove garlic, cook chicken broth, heat corn and mix it with olive oil. Then simmer it. |\n",
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"| 2 | chop garlic, refrigerate rice and mix it with sprout, ground beef, pepper and green pea and mix it together with the results of step 1. Then heat it. |\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"### Rice Recipe 5"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/markdown": [
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"**Ingredients**:\n",
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" * green pea\n",
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" * garlic\n",
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" * rice\n",
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" * water\n",
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" * olive oil\n",
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" * onion\n",
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" * chicken broth\n",
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" * clove garlic\n",
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" * chicken\n",
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" * pepper\n",
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" * ground beef\n",
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"\n",
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"\n",
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"**Instructions**:\n",
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"\n",
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"| Step | Instruction |\n",
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"| ----:|:----------- |\n",
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"| 1 | grate onion, chop chicken, place chicken broth, warm water, heat garlic and mix it with green pea, clove garlic, rice, olive oil, pepper and ground beef. Then heat it. |\n"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"p = EA.Population([\"rice\"],['rice'], min_additional=4, max_additional=13, n_population = 50)\n",
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"\n",
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"p.run(50)\n",
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"\n",
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"samples = EA.np.random.choice(p.population[:10], 5)\n",
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"\n",
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"for i, s in enumerate(samples):\n",
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" display(EA.Markdown(f\"### Rice Recipe {i+1}\"))\n",
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" display(s.root().to_instruction().to_markdown())"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.7.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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