-
Notifications
You must be signed in to change notification settings - Fork 23
/
Copy pathcollapse_tool_test.js
116 lines (111 loc) · 3.32 KB
/
collapse_tool_test.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
describe('collapse_tool_test', function () {
it('maxmeanprobe',
function () {
var heatmap = new morpheus.HeatMap({
dataset: new morpheus.Dataset({
array: [[1, 3], [4, 6], [7, 9], [10, 12]],
rows: 4,
columns: 2
})
});
heatmap.getProject().getFullDataset().getRowMetadata()
.add('id').array = ['a', 'b', 'a', 'a'];
var newHeatMap = new morpheus.CollapseDatasetTool().execute({
heatMap: heatmap,
project: heatmap.getProject(),
input: {
collapse_method: 'Maximum Mean Probe',
collapse: 'Rows',
collapse_to_fields: ['id']
}
});
expect(newHeatMap.getProject().getFullDataset())
.toBeDatasetValues(new morpheus.Dataset({
array: [[10, 12], [4, 6]],
rows: 2,
columns: 2
}), 0.00001);
});
it('maxmedianprobe',
function () {
var heatmap = new morpheus.HeatMap({
dataset: new morpheus.Dataset({
array: [[1, 3], [4, 6], [7, 9], [10, 12]],
rows: 4,
columns: 2
})
});
heatmap.getProject().getFullDataset().getRowMetadata()
.add('id').array = ['a', 'b', 'a', 'a'];
var newHeatMap = new morpheus.CollapseDatasetTool().execute({
heatMap: heatmap,
project: heatmap.getProject(),
input: {
collapse_method: 'Maximum Median Probe',
collapse: 'Rows',
collapse_to_fields: ['id']
}
});
expect(newHeatMap.getProject().getFullDataset())
.toBeDatasetValues(new morpheus.Dataset({
array: [[10, 12], [4, 6]],
rows: 2,
columns: 2
}), 0.00001);
});
it('mean',
function () {
var heatmap = new morpheus.HeatMap({
dataset: new morpheus.Dataset({
array: [[1, 2], [3, 4], [5, 6], [7, 8]],
rows: 4,
columns: 2
})
});
heatmap.getProject().getFullDataset().getRowMetadata()
.add('id').array = ['a', 'b', 'a', 'a'];
var newHeatMap = new morpheus.CollapseDatasetTool().execute({
heatMap: heatmap,
project: heatmap.getProject(),
input: {
collapse_method: 'Mean',
collapse: 'Rows',
collapse_to_fields: ['id']
}
});
expect(newHeatMap.getProject().getFullDataset())
.toBeDatasetValues(new morpheus.Dataset({
array: [[13 / 3, 16 / 3], [3, 4]],
rows: 2,
columns: 2
}), 0.00001);
});
it('median',
function () {
var heatmap = new morpheus.HeatMap({
dataset: new morpheus.Dataset({
array: [[1, 2], [3, 4], [5, 6], [7, 8]],
rows: 4,
columns: 2
})
});
heatmap.getProject().getFullDataset().getRowMetadata()
.add('id').array = ['a', 'b', 'a', 'a'];
var newHeatMap = new morpheus.CollapseDatasetTool().execute({
heatMap: heatmap,
project: heatmap.getProject(),
input: {
collapse_method: 'Percentile',
collapse: 'Rows',
percentile: '50',
collapse_to_fields: ['id']
}
});
expect(newHeatMap.getProject().getFullDataset())
.toBeDatasetValues(new morpheus.Dataset({
array: [[5, 6], [3, 4]],
rows: 2,
columns: 2
}), 0.00001);
});
});