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feat (class/relationship): resolution of the exercise
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‎README.md‎

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@@ -8,7 +8,7 @@ Todos os exemplos no diretório `notebook` são preparados para o ambiente Jupyt
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## Abrir branch específico em uma instância do [binderhub](https://github.com/jupyterhub/binderhub)
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* Última versão testada e estável:
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[![launch @ mybinder.org][badge-jupyterlab-mybinder-org]](https://mybinder.org/v2/gh/santanche/java2learn/v1.1.2?urlpath=lab)
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[![launch @ mybinder.org][badge-jupyterlab-mybinder-org]](https://mybinder.org/v2/gh/santanche/java2learn/v1.1.3?urlpath=lab)
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* Última versão disponível:
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[![launch @ mybinder.org][badge-jupyterlab-mybinder-org]](https://mybinder.org/v2/gh/santanche/java2learn/master?urlpath=lab)

‎notebooks/pt/c02oo-java/s03relacionamento/s04tabuleiro/s01tarefa/primeiro-tabuleiro.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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"id": "featured-appendix",
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"metadata": {},
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"source": [
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"# Primeiro Tabuleiro"
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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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"id": "juvenile-silicon",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"com.twosigma.beaker.javash.bkr0f150d79.Peca"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"public class Peca {\n",
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" Peca esquerda = null,\n",
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" direita = null;\n",
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"\n",
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" public void pecaEsquerda(Peca pc) {\n",
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" esquerda = pc;\n",
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" }\n",
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" \n",
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" public void pecaDireita(Peca pc) {\n",
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" direita = pc;\n",
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" }\n",
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" \n",
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" public String mostra() {\n",
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" return \"#\";\n",
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" }\n",
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"}"
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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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"id": "patent-humanitarian",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"com.twosigma.beaker.javash.bkr0f150d79.Tabuleiro"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"public class Tabuleiro {\n",
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" Peca tab[];\n",
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" \n",
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" public Tabuleiro() {\n",
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" tab = new Peca[10];\n",
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" }\n",
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" \n",
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" public void inserePeca(Peca pc, int posicao) {\n",
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" if (posicao < tab.length) {\n",
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" tab[posicao] = pc;\n",
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" if (posicao > 0) {\n",
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" pc.pecaEsquerda(tab[posicao-1]);\n",
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" if (tab[posicao-1] != null)\n",
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" tab[posicao-1].pecaDireita(pc);\n",
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" } else\n",
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" pc.pecaEsquerda(null);\n",
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" if (posicao < tab.length - 1) {\n",
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" pc.pecaDireita(tab[posicao+1]);\n",
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" if (tab[posicao+1] != null)\n",
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" tab[posicao+1].pecaEsquerda(pc);\n",
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" } else\n",
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" pc.pecaDireita(null);\n",
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" }\n",
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" }\n",
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" \n",
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" public String mostra() {\n",
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" String result = \"\";\n",
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" for (int t = 0; t < tab.length; t++)\n",
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" result += (tab[t] == null) ? \".\" : tab[t].mostra();\n",
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" return result;\n",
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" }\n",
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"}"
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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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"id": "comparative-calibration",
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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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".#.##..###\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"null"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"Tabuleiro tabl = new Tabuleiro();\n",
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"int posicoes[] = {1, 3, 4, 7,8, 9};\n",
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"for (int p = 0; p < posicoes.length; p++)\n",
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" tabl.inserePeca(new Peca(), posicoes[p]);\n",
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"System.out.println(tabl.mostra());"
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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": "Java",
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"language": "java",
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"name": "java"
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},
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"language_info": {
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"codemirror_mode": "text/x-java",
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"file_extension": ".java",
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"mimetype": "",
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"name": "Java",
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"nbconverter_exporter": "",
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"version": "1.8.0_121"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

notebooks/pt/c02oo-java/s03relacionamento/s04tabuleiro/primeiro-tabuleiro.ipynb renamed to notebooks/pt/c02oo-java/s03relacionamento/s04tabuleiro/s02resolucao/primeiro-tabuleiro.ipynb

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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "adjusted-astrology",
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"id": "absent-motorcycle",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"com.twosigma.beaker.javash.bkr2da291e3.Peca"
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"com.twosigma.beaker.javash.bkr010bf114.Peca"
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]
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},
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"execution_count": 1,
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "stunning-bailey",
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"id": "twelve-reality",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"com.twosigma.beaker.javash.bkr2da291e3.Tabuleiro"
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"com.twosigma.beaker.javash.bkr010bf114.Tabuleiro"
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},
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"execution_count": 2,
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "billion-catalog",
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"id": "patient-background",
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"metadata": {},
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"outputs": [
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{
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" tabl.inserePeca(new Peca(), posicoes[p]);\n",
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"System.out.println(tabl.mostra());"
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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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"id": "hybrid-vertex",
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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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