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daniel-saeedidaniel-saeedi
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Computer Assignment 3 & 4
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‎.DS_Store

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‎CA2/.DS_Store

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‎CA3/.DS_Store

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‎CA3/.ipynb_checkpoints/Q1-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 119,
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"metadata": {},
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"outputs": [],
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"source": [
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"def quick_sort(array) :\n",
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"\n",
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" less = []\n",
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" equal = []\n",
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" greater = []\n",
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"\n",
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" if len(array) > 1:\n",
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" pivot = array[0]\n",
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" for x in array:\n",
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" if x < pivot:\n",
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" less.append(x)\n",
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" elif x == pivot:\n",
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" equal.append(x)\n",
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" elif x > pivot:\n",
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" greater.append(x)\n",
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" return quick_sort(less)+equal+quick_sort(greater)\n",
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" else: \n",
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" return array\n",
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"\n",
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"class WellSort :\n",
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" def __init__(self,n,array) :\n",
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" self.array = array\n",
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" self.n = n\n",
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" def s(self) :\n",
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" self.array = quick_sort(self.array)\n",
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" \n",
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" result = str()\n",
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" \n",
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" if self.n % 2 :\n",
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" j = int(self.n/2)+1\n",
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" else :\n",
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" j = int(self.n/2)\n",
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" \n",
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" for i in range(j) :\n",
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" result += str(self.array[i])\n",
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" if i < j - 1 : result += \" \"\n",
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" if j < self.n :\n",
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" result += str(self.array[j]) + \" \"\n",
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" j += 1\n",
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" print(result)\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": 120,
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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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"5\n",
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"1 6 4 3 3\n",
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"1 4 3 6 3 \n"
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]
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}
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],
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"source": [
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"n = input()\n",
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"l = []\n",
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"s = input()\n",
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"for i in s.split() :\n",
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" l.append(int(i))\n",
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"ws = WellSort(int(n),l)\n",
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"ws.s()"
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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": "3.8.3"
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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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}

‎CA3/.ipynb_checkpoints/Q2-3-checkpoint.ipynb

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{
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"cells": [
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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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"class Node:\n",
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" def __init__(self, data):\n",
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" self.data = data\n",
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" # dictionary from child_data to child_node\n",
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" self.children = dict()\n",
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" self.is_word_end = False\n",
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"\n",
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" @staticmethod\n",
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" def print_graph(cur_node, cur_word = ''):\n",
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" if cur_node.is_word_end:\n",
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" print(cur_word)\n",
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" for data, child in cur_node.children.items():\n",
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" Node.print_graph(child, cur_word + data)\n",
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"\n",
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"\n",
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"def build_graph(strings):\n",
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" root = Node(None)\n",
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" for str_ in strings:\n",
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" parent = root\n",
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" for char in str_:\n",
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" if char in parent.children.keys():\n",
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" cur_node = parent.children[char]\n",
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" else: \n",
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" cur_node = Node(char)\n",
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" parent.children[char] = cur_node\n",
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" parent = cur_node\n",
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" cur_node.is_word_end = True\n",
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" return root\n",
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"\n",
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"\n",
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"def is_similar(cur_node, query, index, skipped_node=False):\n",
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" if index == len(query):\n",
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" return True\n",
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" char = query[index]\n",
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" if char in cur_node.children.keys():\n",
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" if is_similar(cur_node.children[char], query, index+1):\n",
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" return True\n",
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" if skipped_node is False:\n",
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" for child in cur_node.children.values():\n",
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" if is_similar(child, query, index+1, skipped_node=True):\n",
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" return True\n",
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" return False\n",
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"\n",
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"\n",
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"def similarity_checker(strings, queries):\n",
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" root = build_graph(strings)\n",
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" resutls = []\n",
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" # Node.print_graph(root)\n",
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" for query in queries:\n",
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" if is_similar(root, query, 0):\n",
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" resutls.append('YES')\n",
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" else: \n",
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" resutls.append('NO')\n",
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" return resutls\n",
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"\n",
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"\n",
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"def run(inputs):\n",
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" n, q = map(int, inputs[0].strip().split())\n",
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" strings, queries = [], []\n",
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" for i in range(1, n+1):\n",
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" strings.append(inputs[i])\n",
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" for i in range(n+1, len(inputs)):\n",
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" queries.append(inputs[i])\n",
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" \n",
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" return similarity_checker(strings, queries)\n",
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"\n",
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"def main():\n",
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" inputs = [input()]\n",
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" n, q = map(int, inputs[0].strip().split())\n",
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" for _ in range(n+q):\n",
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" inputs.append(input())\n",
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" print('\\n'.join(run(inputs)))\n"
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Yes\n",
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"Yes\n",
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"No\n",
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"Yes\n"
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]
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}
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],
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"source": [
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"# main()\n",
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"inputs = [\n",
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"\"5 4\",\n",
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"\"ab\",\n",
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"\"cacab\",\n",
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"\"cbabc\",\n",
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"\"acc\",\n",
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"\"cacab\",\n",
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"\"abc\",\n",
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"\"aa\",\n",
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"\"acbca\",\n",
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"\"cb\",\n",
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"]\n",
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"print('\\n'.join(run(inputs)))"
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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": "3.8.3"
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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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