Update utils/examples.json
Browse files- utils/examples.json +9 -4
utils/examples.json
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@@ -1,8 +1,13 @@
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[
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{
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"name": "Scikit-Learn",
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"value": "import numpy as np\nfrom sklearn.ensemble import RandomForestClassifier\n\n# create training data\nX = np.random.randn(100, 100)\ny = np.random.randint(0, 1, 100)\n\n# setup train test split",
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"length":
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},
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{
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"name": "Transformers",
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{
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"name": "Count words",
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"value": "def count_words(filename):\n \"\"\"Count the number of occurrences of each word in the file\"\"\"",
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"length":
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},
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{
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"name": "Is e in L",
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{
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"name": "unittest",
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"value": "def is_even(value):\n \"\"\"Returns True if value is an even number.\"\"\"\n return value % 2 == 0\n\n# setup unit tests for is_even\nimport unittest",
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"length":
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},
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{
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"name": "Pizza Problem",
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"value": "def exercise():\n \"\"\"Marie ordered one chicken meal that costs 12 dollars, and some boxes of pizza. Marie paid a total of 44 dollars. How many boxes of pizza did Marie order if each box costs 8 dollars?\"\"\"",
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"length":
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},
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{
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"name": "Pandas",
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[
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{
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"name": "Hello World!",
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"value": "def print_hello_world():\n \"\"\"Print 'Hello World!'.\"\"\"",
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"length": 8
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},
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{
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"name": "Scikit-Learn",
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"value": "import numpy as np\nfrom sklearn.ensemble import RandomForestClassifier\n\n# create training data\nX = np.random.randn(100, 100)\ny = np.random.randint(0, 1, 100)\n\n# setup train test split",
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"length": 52
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},
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{
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"name": "Transformers",
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{
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"name": "Count words",
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"value": "def count_words(filename):\n \"\"\"Count the number of occurrences of each word in the file\"\"\"",
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"length": 48
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},
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{
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"name": "Is e in L",
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{
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"name": "unittest",
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"value": "def is_even(value):\n \"\"\"Returns True if value is an even number.\"\"\"\n return value % 2 == 0\n\n# setup unit tests for is_even\nimport unittest",
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"length": 52
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},
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{
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"name": "Pizza Problem",
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"value": "def exercise():\n \"\"\"Marie ordered one chicken meal that costs 12 dollars, and some boxes of pizza. Marie paid a total of 44 dollars. How many boxes of pizza did Marie order if each box costs 8 dollars?\"\"\"",
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"length": 52
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},
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{
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"name": "Pandas",
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