@gracexwho/model-card-generator/lib/python-program-analysis/src/specs/index.js

Tool for generating model cards for Jupyter Notebook.

var __assign = (this && this.__assign) || function () {
    __assign = Object.assign || function(t) {
        for (var s, i = 1, n = arguments.length; i < n; i++) {
            s = arguments[i];
            for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))
                t[p] = s[p];
        }
        return t;
    };
    return __assign.apply(this, arguments);
};
(function (factory) {
    if (typeof module === "object" && typeof module.exports === "object") {
        var v = factory(require, exports);
        if (v !== undefined) module.exports = v;
    }
    else if (typeof define === "function" && define.amd) {
        define(["require", "exports", "./__builtins__.json", "./random.json", "./matplotlib.json", "./pandas.json", "./sklearn.json", "./numpy.json"], factory);
    }
})(function (require, exports) {
    "use strict";
    Object.defineProperty(exports, "__esModule", { value: true });
    exports.DefaultSpecs = void 0;
    var builtins = require("./__builtins__.json");
    var random = require("./random.json");
    var matplotlib = require("./matplotlib.json");
    var pandas = require("./pandas.json");
    var sklearn = require("./sklearn.json");
    var numpy = require("./numpy.json");
    exports.DefaultSpecs = __assign(__assign(__assign(__assign(__assign(__assign({}, builtins), random), matplotlib), pandas), sklearn), numpy);
});
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