Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'datalib' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
Scene.defaultProperties = function(props) {
// Note that scene has no "properties" property
return dl.extend({
// Containers for child marks
scales: [],
legends: [],
axes: [],
marks: [],
// type will be removed later on, but is used to generate an appropriate name
type: 'scene',
// Scene has no Vega properties object, but we mock it for now to avoid
// distrupting the export functionality
properties: {
update: {}
},
// Scene-specific visual properties
width: 610,
height: 610,
padding: 'auto',
Group.defaultProperties = function(props) {
return dl.extend({
type: 'group',
// name: 'group' + '_' + counter.type('group'); // Assign name in the reducer
// _id: assign ID in the reducer
properties: Mark.mergeProperties(Mark.defaultProperties(), {
update: {
x: {value: 0},
y: {value: 0},
width: {signal: ns('vis_width')},
height: {signal: ns('vis_height')},
fill: {value: 'transparent'}
}
}),
// Containers for child marks
scales: [],
legends: [],
axes: [],
Area.defaultProperties = function(props) {
return dl.extend({
type: 'area',
// name: 'area' + '_' + counter.type('area'); // Assign name in the reducer
// _id: assign ID in the reducer
properties: Mark.mergeProperties(Mark.defaultProperties(), {
update: {
x2: {value: 0},
y2: {value: 0},
xc: {value: 60, _disabled: true},
yc: {value: 60, _disabled: true},
tension: {value: 13},
interpolate: {value: 'monotone'},
fill: {value: '#55498D'},
stroke: {value: '#55498D'},
orient: {value: 'vertical'},
width: {value: 30, _disabled: true},
height: {value: 30, _disabled: true}
Line.defaultProperties = function(props) {
var defaults = {
type: 'line',
// name: 'line' + '_' + counter.type('line'); // Assign name in the reducer
// _id: assign ID in the reducer
properties: Mark.mergeProperties(Mark.defaultProperties(), {
update: {
stroke: {value: '#000000'},
strokeWidth: {value: 3}
}
})
};
// Mark gives us two defaults we do not want
delete defaults.properties.update.fill;
delete defaults.properties.update.fillOpacity;
return dl.extend(defaults, props);
};
}
if (hasPath(mark, vars)) code += "\n d += (item.touch(), 1);";
code += "\n if (trans) trans.interpolate(item, o);";
code += "\n return d > 0;";
try {
/* jshint evil:true */
var encoder = Function('item', 'group', 'trans', 'db',
'signals', 'predicates', code);
encoder.tpl = Tuple;
encoder.exprs = exprs;
encoder.util = dl;
encoder.d3 = d3; // For color spaces
dl.extend(encoder, dl.template.context);
return {
encode: encoder,
signals: dl.keys(deps.signals),
scales: dl.keys(deps.scales),
data: dl.keys(deps.data),
fields: dl.keys(deps.fields),
nested: deps.nested,
reflow: deps.reflow
};
} catch (e) {
log.error(e);
log.log(code);
}
}
function properties(model, mark, spec) {
var config = model.config(),
code = "",
names = dl.keys(spec),
exprs = [], // parsed expressions injected in the generated code
i, len, name, ref, vars = {},
deps = {
signals: {},
scales: {},
data: {},
fields: {},
nested: [],
_nRefs: {}, // Temp stash to de-dupe nested refs.
reflow: false
};
code += "var o = trans ? {} : item, d=0, exprs=this.exprs, set=this.tpl.set, tmpl=signals||{}, t;\n" +
// Stash for dl.template
"tmpl.datum = item.datum;\n" +
"tmpl.group = group;\n" +
field = lookup(ref);
return {
data: getParent(field).name,
field: field._name
};
}
// More than one ref
for (i = 0, len = ref.length; i < len; ++i) {
field = lookup(ref[i]);
data = getParent(field);
sets[data._id] = sets[data._id] || (sets[data._id] = []);
sets[data._id].push(field);
}
keys = dl.keys(sets);
if (keys.length === 1) {
ref = {
data: data.name,
field: sets[data._id].map(fmap)
};
} else {
ref = {fields: []};
for (i = 0, len = keys.length; i < len; ++i) {
data = lookup(keys[i]);
ref.fields.push({
data: data.name,
field: sets[data._id].map(fmap)
});
}
}
}
function addGuide(guideProps) {
var props = dl.extend({
_id: guideProps._id || counter.global(),
}, guideProps);
return {
id: props._id,
type: ADD_GUIDE,
props: props
};
}
function nsProperties(propset) {
dl.keys(propset).forEach(function(k) {
var p = propset[k];
if (p.signal) p.signal = ns(p.signal, sg);
else if (p.rule) {
p.rule.forEach(function(r) {
if (r.signal) r.signal = ns(r.signal, sg);
if (r.predicate) nsOperand(r);
});
}
});
}
prototype.data = function(data) {
var v = this;
if (!arguments.length) return v._model.values();
else if (dl.isString(data)) return streaming.call(v, data);
else if (dl.isObject(data)) {
dl.keys(data).forEach(function(k) {
var api = streaming.call(v, k);
data[k](api);
});
}
return this;
};