autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-08-08 16:53 ]

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README.md ADDED
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+ ---
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+ task_categories:
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+ - summarization
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+
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+ ---
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+ # AutoTrain Dataset for project: javascript-traing-1
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project javascript-traing-1.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is unk.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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+ ```json
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+ [
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+ {
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+ "target": "test/NavbarSpec.js",
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+ "feat_repo_name": "aabenoja/react-bootstrap",
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+ "text": "import React from 'react';\nimport ReactTestUtils from 'react/lib/ReactTestUtils';\nimport Navbar from '../src/Navbar';\nimport Nav from '../src/Nav';\n\ndescribe('Nav', function () {\n\n it('Should create nav element', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar />\n );\n let nav = instance.getDOMNode();\n assert.equal(nav.nodeName, 'NAV');\n assert.ok(nav.className.match(/\\bnavbar\\b/));\n assert.ok(nav.getAttribute('role'), 'navigation');\n });\n\n it('Should add fixedTop variation class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar fixedTop />\n );\n assert.ok(ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-fixed-top'));\n });\n\n it('Should add fixedBottom variation class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar fixedBottom />\n );\n assert.ok(ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-fixed-bottom'));\n });\n\n it('Should add staticTop variation class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar staticTop />\n );\n assert.ok(ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-static-top'));\n });\n\n it('Should add inverse variation class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar inverse />\n );\n assert.ok(ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-inverse'));\n });\n\n it('Should add fluid variation class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar fluid />\n );\n assert.ok(ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'container-fluid'));\n });\n\n it('Should override role attribute', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar role=\"banner\"/>\n );\n assert.ok(instance.getDOMNode().getAttribute('role'), 'banner');\n });\n\n it('Should override node class', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar componentClass={'header'}/>\n );\n assert.ok(instance.getDOMNode().nodeName, 'HEADER');\n });\n\n it('Should add header with brand', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar brand=\"Brand\" />\n );\n\n let header = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-header');\n\n assert.ok(header);\n\n let brand = ReactTestUtils.findRenderedDOMComponentWithClass(header, 'navbar-brand');\n\n assert.ok(brand);\n assert.equal(brand.getDOMNode().innerText, 'Brand');\n });\n\n it('Should add header with brand component', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar brand={<a>Brand</a>} />\n );\n\n let header = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-header');\n\n assert.ok(header);\n\n let brand = ReactTestUtils.findRenderedDOMComponentWithClass(header, 'navbar-brand');\n\n assert.ok(brand);\n assert.equal(brand.getDOMNode().nodeName, 'A');\n assert.equal(brand.getDOMNode().innerText, 'Brand');\n });\n\n it('Should pass navbar prop to navs', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar brand=\"Brand\">\n <Nav />\n </Navbar>\n );\n\n let nav = ReactTestUtils.findRenderedComponentWithType(instance, Nav);\n\n assert.ok(nav.props.navbar);\n });\n\n it('Should pass nav prop to ul', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Nav />\n );\n\n let navNode = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'nav').getDOMNode();\n assert.ok(navNode);\n assert.equal(navNode.nodeName, 'UL');\n assert.equal(navNode.parentNode.nodeName, 'NAV');\n\n instance.setProps({navbar: true});\n\n navNode = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'nav').getDOMNode();\n assert.ok(navNode);\n assert.equal(navNode.nodeName, 'UL');\n assert.equal(navNode.parentNode.nodeName, 'DIV');\n });\n\n it('Should add header when toggleNavKey is 0', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar toggleNavKey={0}>\n <Nav eventKey={0} />\n </Navbar>\n );\n\n let header = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-header');\n\n assert.ok(header);\n });\n\n it('Should add header when toggleNavKey is 1', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar toggleNavKey={1}>\n <Nav eventKey={1} />\n </Navbar>\n );\n\n let header = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-header');\n\n assert.ok(header);\n });\n\n it('Should add header when toggleNavKey is string', function () {\n let instance = ReactTestUtils.renderIntoDocument(\n <Navbar toggleNavKey={'string'}>\n <Nav eventKey={'string'} />\n </Navbar>\n );\n\n let header = ReactTestUtils.findRenderedDOMComponentWithClass(instance, 'navbar-header');\n\n assert.ok(header);\n });\n});\n"
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+ },
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+ {
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+ "target": "node_modules/rc-slider/lib/common/Steps.js",
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+ "feat_repo_name": "maty21/statistisc",
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+ "text": "'use strict';\n\nObject.defineProperty(exports, \"__esModule\", {\n value: true\n});\n\nvar _defineProperty2 = require('babel-runtime/helpers/defineProperty');\n\nvar _defineProperty3 = _interopRequireDefault(_defineProperty2);\n\nvar _react = require('react');\n\nvar _react2 = _interopRequireDefault(_react);\n\nvar _classnames = require('classnames');\n\nvar _classnames2 = _interopRequireDefault(_classnames);\n\nvar _warning = require('warning');\n\nvar _warning2 = _interopRequireDefault(_warning);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { \"default\": obj }; }\n\nvar calcPoints = function calcPoints(vertical, marks, dots, step, min, max) {\n (0, _warning2[\"default\"])(dots ? step > 0 : true, '`Slider[step]` should be a positive number in order to make Slider[dots] work.');\n var points = Object.keys(marks).map(parseFloat);\n if (dots) {\n for (var i = min; i <= max; i = i + step) {\n if (points.indexOf(i) >= 0) continue;\n points.push(i);\n }\n }\n return points;\n};\n\nvar Steps = function Steps(_ref) {\n var prefixCls = _ref.prefixCls,\n vertical = _ref.vertical,\n marks = _ref.marks,\n dots = _ref.dots,\n step = _ref.step,\n included = _ref.included,\n lowerBound = _ref.lowerBound,\n upperBound = _ref.upperBound,\n max = _ref.max,\n min = _ref.min;\n\n var range = max - min;\n var elements = calcPoints(vertical, marks, dots, step, min, max).map(function (point) {\n var _classNames;\n\n var offset = Math.abs(point - min) / range * 100 + '%';\n var style = vertical ? { bottom: offset } : { left: offset };\n\n var isActived = !included && point === upperBound || included && point <= upperBound && point >= lowerBound;\n var pointClassName = (0, _classnames2[\"default\"])((_classNames = {}, (0, _defineProperty3[\"default\"])(_classNames, prefixCls + '-dot', true), (0, _defineProperty3[\"default\"])(_classNames, prefixCls + '-dot-active', isActived), _classNames));\n\n return _react2[\"default\"].createElement('span', { className: pointClassName, style: style, key: point });\n });\n\n return _react2[\"default\"].createElement(\n 'div',\n { className: prefixCls + '-step' },\n elements\n );\n};\n\nexports[\"default\"] = Steps;\nmodule.exports = exports['default'];"
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+ }
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+ ]
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+ ```
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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "target": "Value(dtype='string', id=None)",
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+ "feat_repo_name": "Value(dtype='string', id=None)",
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+ "text": "Value(dtype='string', id=None)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
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+ | ------------ | ------------------- |
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+ | train | 80000 |
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+ | valid | 20000 |
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