codeparrot/codeparrot-generation

1[2    {3        "name": "Hello World!",4        "value": "def print_hello_world():\n    \"\"\"Print 'Hello World!'.\"\"\"",5        "length": 86    },7    {8        "name": "Filesize",9        "value": "def get_file_size(filepath):",10        "length": 6411    },12    {13        "name": "Python to Numpy",14        "value": "# native Python:\ndef mean(a):\n    return sum(a)/len(a)\n\n# with numpy:\nimport numpy as np\n\ndef mean(a):",15        "length": 1616    },17    {18        "name": "unittest",19        "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",20        "length": 6421 22    },23    {24        "name": "Scikit-Learn",25        "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",26        "length": 9627    },28    {29        "name": "Pandas",30        "value": "# load dataframe from csv\ndf = pd.read_csv(filename)\n\n# columns: \"age_group\", \"income\"\n# calculate average income per age group",31        "length": 1632    },33    {34        "name": "Transformers",35        "value": "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n\n# build a BERT classifier",36        "length": 4837    }38]