mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
216 lines
5.0 KiB
Python
216 lines
5.0 KiB
Python
{
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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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"This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
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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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"# Solution Notebook"
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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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"## Problem: Find the single different char between two strings.\n",
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"\n",
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"* [Constraints](#Constraints)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Algorithm](#Algorithm)\n",
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"* [Code](#Code)\n",
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"* [Unit Test](#Unit-Test)"
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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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"## Constraints\n",
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"\n",
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"* Can we assume the strings are ASCII?\n",
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" * Yes\n",
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"* Is case important?\n",
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" * The strings are lower case\n",
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"* Can we assume the inputs are valid?\n",
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" * No, check for None\n",
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"* Can we assume this fits memory?\n",
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" * Yes"
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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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"## Test Cases\n",
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"\n",
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"* None input -> TypeError\n",
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"* 'abcd', 'abcde' -> 'e'\n",
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"* 'aaabbcdd', 'abdbacade' -> 'e'"
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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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"## Algorithm\n",
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"\n",
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"### Dictionary\n",
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"\n",
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"* Keep a dictionary of seen values in s\n",
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"* Loop through t, decrementing the seen values\n",
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" * If the char is not there or if the decrement results in a negative value, return the char\n",
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"\n",
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"Complexity:\n",
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"* Time: O(m+n), where m and n are the lengths of s, t\n",
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"* Space: O(h), for the dict, where h is the unique chars in s\n",
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"\n",
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"### XOR\n",
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"\n",
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"* XOR the two strings, which will isolate the differing char\n",
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"\n",
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"Complexity:\n",
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"* Time: O(m+n), where m and n are the lengths of s, t\n",
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"* Space: O(1)"
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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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"## Code"
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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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"collapsed": false
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},
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"outputs": [],
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"source": [
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"class Solution(object):\n",
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"\n",
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" def find_diff(self, str1, str2):\n",
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" if str1 is None or str2 is None:\n",
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" raise TypeError('str1 or str2 cannot be None')\n",
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" seen = {}\n",
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" for char in str1:\n",
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" if char in seen:\n",
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" seen[char] += 1\n",
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" else:\n",
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" seen[char] = 1\n",
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" for char in str2:\n",
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" try:\n",
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" seen[char] -= 1\n",
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" except KeyError:\n",
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" return char\n",
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" if seen[char] < 0:\n",
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" return char\n",
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" return None\n",
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"\n",
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" def find_diff_xor(self, str1, str2):\n",
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" if str1 is None or str2 is None:\n",
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" raise TypeError('str1 or str2 cannot be None')\n",
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" result = 0\n",
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" for char in str1:\n",
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" result ^= ord(char)\n",
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" for char in str2:\n",
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" result ^= ord(char)\n",
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" return chr(result)"
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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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"## Unit Test"
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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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"collapsed": false
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},
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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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"Overwriting test_str_diff.py\n"
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]
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}
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],
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"source": [
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"%%writefile test_str_diff.py\n",
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"from nose.tools import assert_equal, assert_raises\n",
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"\n",
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"\n",
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"class TestFindDiff(object):\n",
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"\n",
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" def test_find_diff(self):\n",
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" solution = Solution()\n",
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" assert_raises(TypeError, solution.find_diff, None)\n",
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" assert_equal(solution.find_diff('abcd', 'abcde'), 'e')\n",
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" assert_equal(solution.find_diff('aaabbcdd', 'abdbacade'), 'e')\n",
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" print('Success: test_find_diff')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestFindDiff()\n",
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" test.test_find_diff()\n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()"
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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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"collapsed": false
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},
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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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"Success: test_find_diff\n"
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]
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}
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],
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"source": [
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"%run -i test_str_diff.py"
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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": "3.5.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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