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https://github.com/donnemartin/data-science-ipython-notebooks.git
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Added comprehension snippets for list, dict, and set. Tweaked a few snippets and content.
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:73ff6384d9af604860ac45769daf4ddad270f251d7838e691c99d5d419e0c72b"
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"signature": "sha256:893799227c6632abab6f36b3299512e1f724d3a9e69a9cc0b81a3ff9c872f370"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -12,7 +12,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Data Structures Utilities"
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"# Data Structure Utilities"
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]
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},
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{
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@ -26,7 +26,8 @@
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"* sorted\n",
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"* reversed\n",
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"* enumerate\n",
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"* zip"
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"* zip\n",
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"* list comprehensions"
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]
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},
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{
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@ -666,9 +667,9 @@
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"numbers = ['zero', 'one', 'two', 'three']\n",
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"for i, number in enumerate(numbers):\n",
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" print(i, number)"
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"strings = ['foo', 'bar', 'baz']\n",
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"for i, string in enumerate(strings):\n",
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" print(i, string)"
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],
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"language": "python",
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"metadata": {},
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@ -677,10 +678,9 @@
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"(0, 'zero')\n",
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"(1, 'one')\n",
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"(2, 'two')\n",
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"(3, 'three')\n"
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"(0, 'foo')\n",
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"(1, 'bar')\n",
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"(2, 'baz')\n"
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]
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}
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],
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@ -827,6 +827,154 @@
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}
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],
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"prompt_number": 27
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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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"## List Comprehensions"
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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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"Concisely form a new list by filtering the elements of a sequence and transforming the elements passing the filter. List comprehensions take the form:\n",
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"```python\n",
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"[expr for val in collection if condition]\n",
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"```\n",
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"Which is equivalent to the following for loop:\n",
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"```python\n",
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"result = []\n",
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"for val in collection:\n",
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" if condition:\n",
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" result.append(expr)\n",
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"```"
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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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"Convert to upper case all strings that start with a 'b'"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"strings = ['foo', 'bar', 'baz', 'f', 'fo', 'b', 'ba']\n",
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"[x.upper() for x in strings if x[0] == 'b']"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 28,
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"text": [
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"['BAR', 'BAZ', 'B', 'BA']"
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]
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}
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],
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"prompt_number": 28
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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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"List comprehensions can be nested"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"list_of_tuples = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n",
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"[x for tup in list_of_tuples for x in tup]"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 29,
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"text": [
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"[1, 2, 3, 4, 5, 6, 7, 8, 9]"
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]
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}
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],
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"prompt_number": 29
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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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"## Dict Comprehension"
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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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"Create a lookup map of strings and their locations in the list for strings that start with a 'b'"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"{index : val for index, val in enumerate(strings) if val[0] == 'b'}"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 30,
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"text": [
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"{1: 'bar', 2: 'baz', 5: 'b', 6: 'ba'}"
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]
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}
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],
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"prompt_number": 30
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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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"## Set Comprehension"
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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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"Get the unique lengths of strings that start with a 'b'"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"{len(x) for x in strings if x[0] == 'b'}"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 31,
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"text": [
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"{1, 2, 3}"
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]
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}
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],
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"prompt_number": 31
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}
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],
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"metadata": {}
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