Criação do próximo desafio

Abril/02-04.ipynb

@@ -0,0 +1,83 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Elementos comuns em arrays\n",
+    "Data: 02/04/2024. De: Codewars. <a href=\"https://www.codewars.com/kata/525c65e51bf619685c000059/train/python\">Link.</a>\n",
+    "\n",
+    "## Descrição\n",
+    "Dadas três arrays de inteiros, retorne a soma dos elementos que são comuns em todas as três arrays.\n",
+    "\n",
+    "Por exemplo:\n",
+    "\n",
+    "common([1,2,3],[5,3,2],[7,3,2]) = 5 porque 2 e 3 são comuns em todas as 3 arrays\n",
+    "common([1,2,2,3],[5,3,2,2],[7,3,2,2]) = 7 porque 2, 2 e 3 são comuns nas 3 arrays\n",
+    "Mais exemplos nos casos de teste.\n",
+    "\n",
+    "Boa sorte!\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Minha solução"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def comuns(a,b,c):\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\n",
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(comuns([1,2,3],[5,3,2],[7,3,2])) # expects 5\n",
+    "print(comuns([1,2,2,3],[5,3,2,2],[7,3,2,2])) # expects 7\n",
+    "print(comuns([1],[1],[1])) # expects 1\n",
+    "print(comuns([1],[1],[2])) # expects 0"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Março/31-03.ipynb

@@ -36,19 +36,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
     "def distanciaMaisCurta(s,c):\n",
-    "    pass"
+    "    #Deixar a string tudo minúsculo\n",
+    "    palavra = s.lower()\n",
+    "    distancia = []\n",
+    "\n",
+    "    #Caso a String seja vazia ou o caracter não esteja na string\n",
+    "    if not s or not c:\n",
+    "        return []\n",
+    "    \n",
+    "    #Encontrar a posição do caracter passado na string\n",
+    "    encontraPosicao = palavra.find(c)\n",
+    "   \n",
+    "\n",
+    "    for i, char in enumerate(palavra):\n",
+    "        \n",
+    "        if char == c:\n",
+    "            encontraPosicao = i #Reinicia a contagem quando encontrar a letra novamente\n",
+    "        #Calcular a distancia entre o caracter e a interação da string(Em módulo)\n",
+    "        distancia.append(abs(encontraPosicao - i))\n",
+    "\n",
+    "\n",
+    "    return distancia\n",
+    "\n",
+    "\n",
+    "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[3, 2, 1, 0, 1, 2, 3, 0, 1, 2, 3, 4]\n",
+      "[0, 0, 0, 0, 0]\n",
+      "[0, 0, 1, 2, 0, 0, 1, 2]\n",
+      "[4, 3, 2, 1, 0, 0, 0, 0]\n",
+      "[1, 2, 3, 4, 5]\n",
+      "[]\n",
+      "[]\n"
+     ]
+    }
+   ],
    "source": [
     "print(distanciaMaisCurta(\"lovecodewars\", \"e\")) # expects [3, 2, 1, 0, 1, 2, 1, 0, 1, 2, 3, 4]\n",
     "print(distanciaMaisCurta(\"aaaaa\", \"a\")) # expects [0, 0, 0, 0, 0]\n",
@@ -58,11 +95,32 @@
     "print(distanciaMaisCurta(\"lovecoding\", \"\")) # expects []\n",
     "print(distanciaMaisCurta(\"\", \"\")) # expects []"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,