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Commit 47a8867

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‎Assignment-7.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": 27,
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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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"[0 1 2 3 4 5 6 7 8 9]\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"arr = np.arange(0,10)\n",
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"print(arr)"
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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": 9,
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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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"45\n"
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]
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}
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],
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"source": [
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"sum=0\n",
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"for i in arr:\n",
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" sum=sum+i\n",
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"print(sum)\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": 5,
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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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"9"
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]
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},
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"execution_count": 5,
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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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"arr.argmax()"
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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": 10,
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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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"array([[24, 56, 78],\n",
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" [90, 78, 34]])"
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]
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},
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"execution_count": 10,
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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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"lst=[24,56,78]\n",
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"lst2=[90,78,34]\n",
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"arr1 =np.array([lst,lst2])\n",
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"arr1"
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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": 11,
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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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"array([[78, 34],\n",
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" [56, 78],\n",
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" [24, 90]])"
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]
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},
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"execution_count": 11,
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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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"np.rot90(arr1)"
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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": 28,
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"metadata": {},
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"outputs": [],
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"source": [
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"arr2=np.array_split(arr,3)"
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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": 29,
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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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"[array([0, 1, 2, 3]), array([4, 5, 6]), array([7, 8, 9])]"
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]
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},
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"execution_count": 29,
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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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"t=arr2\n",
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"arr2"
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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": 26,
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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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"[array([7, 8, 9]), array([4, 5, 6]), array([0, 1, 2, 3])]"
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]
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},
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"execution_count": 26,
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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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"t.reverse()\n",
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"t"
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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": 31,
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"metadata": {},
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"outputs": [],
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"source": [
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"def monotonic(array):\n",
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" decreasing=False\n",
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" if (array[0] > array[1]):\n",
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" decreasing = True\n",
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" for i in range(len(array)-1):\n",
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" if (array[i]<array[i+1] and decreasing or array[i]>arr[i+1] and not decreasing):\n",
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" return False\n",
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" return True"
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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": 33,
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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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"True\n",
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"False\n",
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"True\n"
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]
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}
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],
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"source": [
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"print(monotonic([1,2,3,4,8]))\n",
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"print(monotonic([1,2,3,5,4,6]))\n",
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"print(monotonic([10,9,8,7,6]))"
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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": "3.8.5"
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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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