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Build error
| [ | |
| { | |
| "name": "Hello World!", | |
| "value": "def print_hello_world():\n \"\"\"Print 'Hello World!'.\"\"\"", | |
| "length": 8 | |
| }, | |
| { | |
| "name": "Filesize", | |
| "value": "def get_file_size(filepath):", | |
| "length": 64 | |
| }, | |
| { | |
| "name": "Python to Numpy", | |
| "value": "# native Python:\ndef mean(a):\n return sum(a)/len(a)\n\n# with numpy:\nimport numpy as np\n\ndef mean(a):", | |
| "length": 16 | |
| }, | |
| { | |
| "name": "unittest", | |
| "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", | |
| "length": 64 | |
| }, | |
| { | |
| "name": "Scikit-Learn", | |
| "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", | |
| "length": 96 | |
| }, | |
| { | |
| "name": "Pandas", | |
| "value": "# load dataframe from csv\ndf = pd.read_csv(filename)\n\n# columns: \"age_group\", \"income\"\n# calculate average income per age group", | |
| "length": 16 | |
| }, | |
| { | |
| "name": "Transformers", | |
| "value": "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n\n# build a BERT classifier", | |
| "length": 48 | |
| } | |
| ] |