dataship-frame
Version:
A Data Frame for Javascript. Crunch numbers in node and the browser.
175 lines (128 loc) • 4.54 kB
JavaScript
var tape = require('tape'),
Frame = require('../lib/frame');
// simple instructive test cases
function simpleTestCases(){
tape("mean works with where", function(t){
t.plan(1);
var frame = new Frame({
"id_0" : [0, 0, 0, 1, 1, 0, 1, 0, 1],
"id_1" : [0, 0, 1, 1, 0, 0, 1, 0, 1],
"value" : [1, 2, 2, 3, 1, 3, 4, 2, 1]
});
var expected = 2.25; // 3 + 1 + 4 + 1
var actual = frame.where("id_0", 1).mean("value");
dtest.assert.close(t, actual, expected);
});
tape("mean works with where", function(t){
t.plan(1);
var frame = new Frame({
"id_0" : [0, 0, 0, 1, 1, 0, 1, 0, 1],
"id_1" : [0, 0, 1, 1, 0, 0, 1, 0, 1],
"value" : [1, 2, 2, 3, 1, 3, 4, 2, 1]
});
var expected = 2; // 1 + 2 + 2 + 3 + 2
var actual = frame.where("id_0", 0).mean("value");
dtest.assert.close(t, actual, expected);
});
tape("where does not modify mean on original Frame", function(t){
t.plan(1);
var frame = new Frame({
"id_0" : [0, 0, 0, 1, 1, 0, 1, 0, 1],
"id_1" : [0, 0, 1, 1, 0, 0, 1, 0, 1],
"value" : [1, 2, 2, 3, 1, 3, 4, 2, 1]
});
var expected = 2.1111111111; // (1 + 2 + 2 + 3 + 1 + 3 + 4 + 2 + 1) / 9
var fw = frame.where("id_0", 0);
var actual = frame.mean("value");
dtest.assert.close(t, actual, expected);
});
tape("mean works with multiple wheres", function(t){
t.plan(1);
var frame = new Frame({
"id_0" : [0, 0, 0, 1, 1, 0, 1, 0, 1],
"id_1" : [0, 0, 1, 1, 0, 0, 1, 0, 1],
"value" : [1, 2, 2, 3, 1, 3, 4, 2, 1]
});
var expected = 2.666666666; // (3 + 4 + 1) / 3
var actual = frame.where("id_0", 1).where("id_1", 1).mean("value");
dtest.assert.close(t, actual, expected);
});
tape("mean works with where in", function(t){
t.plan(1);
var frame = new Frame({
"id" : [0, 2, 0, 1, 1, 0, 2, 0, 1],
"value" : [1, 2, 2, 3, 1, 3, 4, 2, 1]
});
var expected = 2.3333333333333; // 1 + 2 + 2 + 3 + 4 + 2
frame = frame.where("id", [0, 2]);
var actual = frame.mean("value");
dtest.assert.close(t, actual, expected);
});
}
//simpleTestCases();
var RTOL = 1e-05, // 1e-05
ATOL = 1e-12; // 1e-12
var dataDirectory = 'test/data/where.mean/',
testFile = 'small.json';
var floader = require('floader'),
dtest = require('../lib/test');
floader.load(dataDirectory + testFile, function(err, config){
var suite = JSON.parse(config);
simpleTestCases();
for(var i = 0; i < suite.length; i++){
var prefix = String("0000" + (i + 1)).slice(-4);
// directory containing matrix data files for current test
var directory = dataDirectory + prefix + '/';
var test = suite[i];
var names = test.id.map(function(spec, i){ return "id_" + i;});
var types = test.id.map(function(spec, i){ return spec['type'];});
var N = test.N; // number of rows
var distincts = test.id.map(function(spec, i){ return spec.K; });
var testName = "where.mean: " + N + " x " + "(" + distincts.join(", ") + ")"
tape(testName, generateTestCase(directory, names, types, ["value_0"], [test.value[0].type]));
}
});
var OUT_FILENAME = "out.json";
function generateTestCase(directory, id_names, id_types, value_names, value_types){
return function(t){
t.plan(1);
var names = id_names.concat(value_names);
var types = id_types.concat(value_types);
// which columns require a key file?
var key_names = id_names.filter(function(item, i){
return id_types[i] in dtest.string_types
});
var key_types = id_types.filter(function(item, i){
return item in dtest.string_types
});
// load columns from files
dtest.load(directory, names, types, function(err, columns){
// load key files
dtest.load_key(directory, key_names, key_types, function(err, keys){
floader.load(directory + OUT_FILENAME, function(err, out){
var expected = JSON.parse(out);
var column_set = {};
for (var i = 0; i < names.length; i++){
var name = names[i];
var column = columns[i];
column_set[name] = column;
}
// keys map a small set of integers to other things (like strings)
// they're a very simple form of fixed length coding
var key_set = {};
for (var i = 0; i < keys.length; i++){
var name = key_names[i];
var key = keys[i];
key_set[name] = key;
}
var frame = new Frame(column_set, key_set);
var value = column_set["id_0"][0];
//console.log(subset);
frame = frame.where("id_0", value);
var actual = frame.mean("value_0");
dtest.assert.close(t, actual, expected, "close", RTOL, ATOL);
});
});
});
};
}