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Task 0008
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Tasks/0008.ipynb

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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Practice Code: 0008\n",
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"\n",
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"**Fill the water into all the bottles. Some are already full, while some are empty and some are partially filled.<br>\n",
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"Each bottle can contain X millilitres of water (dynamic, entered by user), while the capacity of Jar is 1 litre.<br>\n",
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"An array is given with the existing bottles on the table, with 0 to 10 as the values for each element, where 0 means its empty and 10 means its full.<br>\n",
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"Fill all the bottles and print how much additional water was used to fill all the bottle.**\n",
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"\n",
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"Come up with an optimal algorithm and implement it. Use least amount of variables and statements, but performance matters.\n",
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"\n",
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"Input: \n",
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"* Bottles - 5,6,10,0 \n",
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"* BottleCapacity - 1\n",
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"\n",
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"Output: **1.9 ltrs**\n",
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"\n",
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"#python #practiceCode #samples #interviewQuestions #collections #algorithm"
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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": "3.7.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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