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run prettier(2.0.5) (#1438)

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This commit is contained in:
Severiano Badajoz
2020-05-04 10:26:42 -07:00
committed by GitHub
parent b255e32548
commit 6cccc41c0f
118 changed files with 1979 additions and 1584 deletions
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client/__tests__/util/stateManager/controlsHelpers.test.js
+8 -5
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@@ -5,20 +5,23 @@ import { subsetAndResetGeneLists } from "../../../src/util/stateManager/controls
import * as globals from "../../../src/globals";
describe("controls helpers", () => {
test("subsetAndResetGeneLists", () => {
const geneList = [...Array(150).keys()].map(() =>
Math.random().toString(36).substring(2, 6) // random string of 4 characters
const geneList = [...Array(150).keys()].map(
() => Math.random().toString(36).substring(2, 6) // random string of 4 characters
);
const state = {
userDefinedGenes: geneList.slice(0, 20),
diffexpGenes: geneList.slice(20),
};
const [newUserDefinedGenes, newDiffExpGenes] = subsetAndResetGeneLists(state);
const [newUserDefinedGenes, newDiffExpGenes] = subsetAndResetGeneLists(
state
);
expect(globals.maxUserDefinedGenes).toBeLessThan(globals.maxGenes);
expect(geneList.length).toBeGreaterThan(globals.maxGenes);
expect(newUserDefinedGenes).toHaveLength(globals.maxGenes);
expect(newUserDefinedGenes).toStrictEqual(geneList.slice(0, globals.maxGenes));
expect(newUserDefinedGenes).toStrictEqual(
geneList.slice(0, globals.maxGenes)
);
expect(newDiffExpGenes).toStrictEqual([]);
});
});
client/__tests__/util/stateManager/fbs.test.js
+23 -23
View File
@@ -3,32 +3,32 @@ test FBS encode/decode API
*/
import { Dataframe, KeyIndex } from "../../../src/util/dataframe";
import {
decodeMatrixFBS,
encodeMatrixFBS
decodeMatrixFBS,
encodeMatrixFBS,
} from "../../../src/util/stateManager/matrix";
describe("encode/decode", () => {
test("round trip", () => {
const columns = [
["red", "green", "blue"],
new Int32Array(3).fill(0),
new Uint32Array(3).fill(1),
new Float32Array(3).fill(2)
];
test("round trip", () => {
const columns = [
["red", "green", "blue"],
new Int32Array(3).fill(0),
new Uint32Array(3).fill(1),
new Float32Array(3).fill(2),
];
const dfNoColIdx = new Dataframe([3, 4], columns);
const dfA = decodeMatrixFBS(encodeMatrixFBS(dfNoColIdx));
expect([dfA.nRows, dfA.nCols]).toEqual(dfNoColIdx.dims);
expect(dfA.colIdx).toBeNull();
expect(dfA.rowIdx).toBeNull();
expect(dfA.columns).toEqual(columns);
const dfNoColIdx = new Dataframe([3, 4], columns);
const dfA = decodeMatrixFBS(encodeMatrixFBS(dfNoColIdx));
expect([dfA.nRows, dfA.nCols]).toEqual(dfNoColIdx.dims);
expect(dfA.colIdx).toBeNull();
expect(dfA.rowIdx).toBeNull();
expect(dfA.columns).toEqual(columns);
const colIndex = new KeyIndex(["a", "b", "c", "d"]);
const dfWithColIdx = new Dataframe([3, 4], columns, null, colIndex);
const dfB = decodeMatrixFBS(encodeMatrixFBS(dfWithColIdx));
expect([dfB.nRows, dfB.nCols]).toEqual(dfWithColIdx.dims);
expect(dfB.colIdx).toEqual(colIndex.keys());
expect(dfB.rowIdx).toBeNull();
expect(dfB.columns).toEqual(columns);
});
const colIndex = new KeyIndex(["a", "b", "c", "d"]);
const dfWithColIdx = new Dataframe([3, 4], columns, null, colIndex);
const dfB = decodeMatrixFBS(encodeMatrixFBS(dfWithColIdx));
expect([dfB.nRows, dfB.nCols]).toEqual(dfWithColIdx.dims);
expect(dfB.colIdx).toEqual(colIndex.keys());
expect(dfB.rowIdx).toBeNull();
expect(dfB.columns).toEqual(columns);
});
});
client/__tests__/util/stateManager/sampleResponses.js
+26 -26
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@@ -17,13 +17,13 @@ const aConfigResponse = {
{ method: "POST", path: "/cluster/", available: false },
{ method: "POST", path: "/layout/", available: false },
{ method: "POST", path: "/diffexp/", available: false },
{ method: "POST", path: "/saveLocal/", available: false }
{ method: "POST", path: "/saveLocal/", available: false },
],
displayNames: {
engine: "the little engine that could",
dataset: "all your zeros are mine"
}
}
dataset: "all your zeros are mine",
},
},
};
const aSchemaResponse = {
@@ -31,7 +31,7 @@ const aSchemaResponse = {
dataframe: {
nObs,
nVar,
type: "float32"
type: "float32",
},
annotations: {
obs: {
@@ -44,9 +44,9 @@ const aSchemaResponse = {
{
name: "field4",
type: "categorical",
categories: field4Categories
}
]
categories: field4Categories,
},
],
},
var: {
index: "name",
@@ -58,46 +58,46 @@ const aSchemaResponse = {
{
name: "fieldD",
type: "categorical",
categories: fieldDCategories
}
]
}
categories: fieldDCategories,
},
],
},
},
layout: {
obs: [{ name: "umap", type: "float32", dims: ["umap_0", "umap_1"] }],
var: []
}
}
var: [],
},
},
};
const anAnnotationsObsJSONResponse = {
names: ["name", "field1", "field2", "field3", "field4"],
data: _()
.range(nObs)
.map(idx => [
.map((idx) => [
idx,
`obs${idx}`,
2 * idx,
idx + 0.0133,
!!(idx & 1),
field4Categories[idx % field4Categories.length]
field4Categories[idx % field4Categories.length],
])
.value()
.value(),
};
const anAnnotationsVarJSONResponse = {
names: ["fieldA", "fieldB", "fieldC", "fieldD", "name"],
data: _()
.range(nVar)
.map(idx => [
.map((idx) => [
idx,
10 * idx,
idx + 2.90143,
!!(idx & 1),
fieldDCategories[idx % fieldDCategories.length],
`var${idx}`
`var${idx}`,
])
.value()
.value(),
};
function encodeTypedArray(builder, uType, uData) {
@@ -120,7 +120,7 @@ function encodeMatrix(columns, colIndex = undefined) {
*/
const utf8Encoder = new TextEncoder("utf-8");
const builder = new flatbuffers.Builder(1024);
const cols = _.map(columns, carr => {
const cols = _.map(columns, (carr) => {
let uType;
let tarr;
if (_.every(carr, _.isNumber)) {
@@ -178,7 +178,7 @@ const anAnnotationsVarFBSResponse = (() => {
const aLayoutFBSResponse = (() => {
const coords = [
new Float32Array(nObs).fill(Math.random()),
new Float32Array(nObs).fill(Math.random())
new Float32Array(nObs).fill(Math.random()),
];
return encodeMatrix(coords, ["umap_0", "umap_1"]);
})();
@@ -187,8 +187,8 @@ const aDataObsResponse = {
var: [2, 4, 29],
obs: _()
.range(nObs)
.map(idx => [idx, Math.random(), Math.random(), Math.random()])
.value()
.map((idx) => [idx, Math.random(), Math.random(), Math.random()])
.value(),
};
export {
@@ -197,5 +197,5 @@ export {
anAnnotationsVarFBSResponse as annotationsVar,
anAnnotationsObsFBSResponse as annotationsObs,
aSchemaResponse as schema,
aConfigResponse as config
aConfigResponse as config,
};
client/__tests__/util/stateManager/universe.test.js
+5 -5
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@@ -43,7 +43,7 @@ describe("createUniverseFromResponse", () => {
obsAnnotations: expect.any(Dataframe.Dataframe),
varAnnotations: expect.any(Dataframe.Dataframe),
obsLayout: expect.any(Dataframe.Dataframe),
varData: expect.any(Dataframe.Dataframe)
varData: expect.any(Dataframe.Dataframe),
})
);
@@ -60,7 +60,7 @@ describe("createUniverseFromResponse", () => {
...Universe.addObsLayout(
universe,
Universe.matrixFBSToDataframe(REST.layoutObs)
)
),
};
expect(universe).toMatchObject(
@@ -71,13 +71,13 @@ describe("createUniverseFromResponse", () => {
obsAnnotations: expect.any(Dataframe.Dataframe),
varAnnotations: expect.any(Dataframe.Dataframe),
obsLayout: expect.any(Dataframe.Dataframe),
varData: expect.any(Dataframe.Dataframe)
varData: expect.any(Dataframe.Dataframe),
})
);
expect(universe.obsAnnotations.dims).toEqual([
nObs,
REST.schema.schema.annotations.obs.columns.length
REST.schema.schema.annotations.obs.columns.length,
]);
expect(universe.obsLayout.dims).toEqual([nObs, 2]);
expect(universe.obsLayout.colIndex.keys()).toEqual(
@@ -85,7 +85,7 @@ describe("createUniverseFromResponse", () => {
);
expect(universe.varAnnotations.dims).toEqual([
nVar,
REST.schema.schema.annotations.var.columns.length
REST.schema.schema.annotations.var.columns.length,
]);
expect(universe.varData.isEmpty()).toBeTruthy();
});
client/__tests__/util/stateManager/world.test.js
+12 -12
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@@ -7,7 +7,7 @@ import { DimTypes } from "../../../src/util/typedCrossfilter/crossfilter";
import * as REST from "./sampleResponses";
import {
obsAnnoDimensionName,
layoutDimensionName
layoutDimensionName,
} from "../../../src/util/nameCreators";
/*
@@ -35,7 +35,7 @@ const defaultBigBang = () => {
...Universe.addObsLayout(
universe,
Universe.matrixFBSToDataframe(REST.layoutObs)
)
),
};
/* create world */
@@ -50,7 +50,7 @@ const defaultBigBang = () => {
return {
universe,
world,
crossfilter
crossfilter,
};
};
@@ -80,8 +80,8 @@ describe("createWorldFromEntireUniverse", () => {
clipQuantiles: { min: 0, max: 1 },
unclipped: {
obsAnnotations: expect.any(Dataframe.Dataframe),
varData: expect.any(Dataframe.Dataframe)
}
varData: expect.any(Dataframe.Dataframe),
},
})
);
});
@@ -92,7 +92,7 @@ describe("createWorldFromCurrentSelection", () => {
const {
universe,
world: originalWorld,
crossfilter: originalCrossfilter
crossfilter: originalCrossfilter,
} = defaultBigBang();
/* mock a selection */
@@ -100,7 +100,7 @@ describe("createWorldFromCurrentSelection", () => {
.select(obsAnnoDimensionName("field1"), { mode: "range", lo: 0, hi: 5 })
.select(obsAnnoDimensionName("field3"), {
mode: "exact",
values: [false]
values: [false],
});
/* create the world from the selection */
@@ -124,7 +124,7 @@ describe("createWorldFromCurrentSelection", () => {
};
const matchingIndices = _()
.range(universe.nObs)
.filter(idx => matchFilter(universe.obsAnnotations, idx))
.filter((idx) => matchFilter(universe.obsAnnotations, idx))
.value();
expect(world).toMatchObject(
@@ -139,8 +139,8 @@ describe("createWorldFromCurrentSelection", () => {
varData: expect.any(Dataframe.Dataframe),
unclipped: {
obsAnnotations: expect.any(Dataframe.Dataframe),
varData: expect.any(Dataframe.Dataframe)
}
varData: expect.any(Dataframe.Dataframe),
},
})
);
@@ -170,7 +170,7 @@ describe("createObsDimensionMap", () => {
const { crossfilter } = defaultBigBang();
const annotationNames = _.map(
REST.schema.schema.annotations.obs.columns,
c => c.name
(c) => c.name
);
const obsIndexColName = REST.schema.schema.annotations.obs.index;
const schemaByObsName = _.keyBy(
@@ -178,7 +178,7 @@ describe("createObsDimensionMap", () => {
"name"
);
expect(crossfilter).toBeDefined();
annotationNames.forEach(name => {
annotationNames.forEach((name) => {
const dim = crossfilter.dimensions[obsAnnoDimensionName(name)];
if (name === obsIndexColName) {
expect(dim).toBeUndefined();