run prettier(2.0.5) (#1438)

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
@@ -13,7 +13,7 @@ describe("Dataframe column summary", () => {
categorical: true,
categories: [],
categoryCounts: new Map(),
numCategories: 0
numCategories: 0,
})
);
});
@@ -27,7 +27,7 @@ describe("Dataframe column summary", () => {
[true],
new Float32Array([39.3]),
new Int32Array([99]),
[1]
[1],
],
null,
new Dataframe.KeyIndex([
@@ -36,7 +36,7 @@ describe("Dataframe column summary", () => {
"nameBoolean",
"nameFloat32",
"nameInt32",
"nameCategorical"
"nameCategorical",
])
);
@@ -45,7 +45,7 @@ describe("Dataframe column summary", () => {
categorical: true,
categories: ["n1"],
categoryCounts: new Map([["n1", 1]]),
numCategories: 1
numCategories: 1,
})
);
expect(df.icol(1).summarize()).toEqual(
@@ -53,7 +53,7 @@ describe("Dataframe column summary", () => {
categorical: true,
categories: ["hi"],
categoryCounts: new Map([["hi", 1]]),
numCategories: 1
numCategories: 1,
})
);
expect(df.icol(2).summarize()).toEqual(
@@ -61,7 +61,7 @@ describe("Dataframe column summary", () => {
categorical: true,
categories: [true],
categoryCounts: new Map([[true, 1]]),
numCategories: 1
numCategories: 1,
})
);
expect(df.icol(3).summarize()).toEqual(
@@ -71,7 +71,7 @@ describe("Dataframe column summary", () => {
max: float32Conversion(39.3),
nan: 0,
ninf: 0,
pinf: 0
pinf: 0,
})
);
expect(df.icol(4).summarize()).toEqual(
@@ -81,7 +81,7 @@ describe("Dataframe column summary", () => {
max: 99,
nan: 0,
ninf: 0,
pinf: 0
pinf: 0,
})
);
expect(df.icol(5).summarize()).toEqual(
@@ -89,7 +89,7 @@ describe("Dataframe column summary", () => {
categorical: true,
categories: [1],
categoryCounts: new Map([[1, 1]]),
numCategories: 1
numCategories: 1,
})
);
});
@@ -103,7 +103,7 @@ describe("Dataframe column summary", () => {
[false, true, true],
new Float32Array([39.3, 39.3, 0]),
new Int32Array([99, 99, 99]),
[1, false, "0"]
[1, false, "0"],
],
null,
new Dataframe.KeyIndex([
@@ -112,7 +112,7 @@ describe("Dataframe column summary", () => {
"nameBoolean",
"nameFloat32",
"nameInt32",
"nameCategorical"
"nameCategorical",
])
);
@@ -120,24 +120,34 @@ describe("Dataframe column summary", () => {
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining(["n0", "n1", "n2"]),
categoryCounts: new Map([["n0", 1], ["n1", 1], ["n2", 1]]),
numCategories: 3
categoryCounts: new Map([
["n0", 1],
["n1", 1],
["n2", 1],
]),
numCategories: 3,
})
);
expect(df.icol(1).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining(["hi", "bye"]),
categoryCounts: new Map([["hi", 2], ["bye", 1]]),
numCategories: 2
categoryCounts: new Map([
["hi", 2],
["bye", 1],
]),
numCategories: 2,
})
);
expect(df.icol(2).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining([true, false]),
categoryCounts: new Map([[true, 2], [false, 1]]),
numCategories: 2
categoryCounts: new Map([
[true, 2],
[false, 1],
]),
numCategories: 2,
})
);
expect(df.icol(3).summarize()).toEqual(
@@ -147,7 +157,7 @@ describe("Dataframe column summary", () => {
max: float32Conversion(39.3),
nan: 0,
ninf: 0,
pinf: 0
pinf: 0,
})
);
expect(df.icol(4).summarize()).toEqual(
@@ -157,15 +167,19 @@ describe("Dataframe column summary", () => {
max: 99,
nan: 0,
ninf: 0,
pinf: 0
pinf: 0,
})
);
expect(df.icol(5).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining([1, false, "0"]),
categoryCounts: new Map([[1, 1], [false, 1], ["0", 1]]),
numCategories: 3
categoryCounts: new Map([
[1, 1],
[false, 1],
["0", 1],
]),
numCategories: 3,
})
);
});
@@ -181,10 +195,10 @@ describe("Dataframe column summary", () => {
39.3,
Number.NEGATIVE_INFINITY,
Number.NaN,
Number.POSITIVE_INFINITY
Number.POSITIVE_INFINITY,
]),
new Int32Array([99, 99, 99, 99]),
[1, false, "0", "0"]
[1, false, "0", "0"],
],
null,
new Dataframe.KeyIndex([
@@ -193,7 +207,7 @@ describe("Dataframe column summary", () => {
"nameBoolean",
"nameFloat32",
"nameInt32",
"nameCategorical"
"nameCategorical",
])
);
@@ -201,24 +215,34 @@ describe("Dataframe column summary", () => {
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining(["n0", "n1", "n2"]),
categoryCounts: new Map([["n0", 1], ["n1", 1], ["n2", 2]]),
numCategories: 3
categoryCounts: new Map([
["n0", 1],
["n1", 1],
["n2", 2],
]),
numCategories: 3,
})
);
expect(df.icol(1).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining(["hi", "bye"]),
categoryCounts: new Map([["hi", 2], ["bye", 1]]),
numCategories: 2
categoryCounts: new Map([
["hi", 2],
["bye", 1],
]),
numCategories: 2,
})
);
expect(df.icol(2).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining([true, false]),
categoryCounts: new Map([[true, 2], [false, 1]]),
numCategories: 2
categoryCounts: new Map([
[true, 2],
[false, 1],
]),
numCategories: 2,
})
);
expect(df.icol(3).summarize()).toEqual(
@@ -228,7 +252,7 @@ describe("Dataframe column summary", () => {
max: float32Conversion(39.3),
nan: 1,
ninf: 1,
pinf: 1
pinf: 1,
})
);
expect(df.icol(4).summarize()).toEqual(
@@ -238,15 +262,19 @@ describe("Dataframe column summary", () => {
max: 99,
nan: 0,
ninf: 0,
pinf: 0
pinf: 0,
})
);
expect(df.icol(5).summarize()).toEqual(
expect.objectContaining({
categorical: true,
categories: expect.arrayContaining([1, false, "0"]),
categoryCounts: new Map([[1, 1], [false, 1], ["0", 1]]),
numCategories: 3
categoryCounts: new Map([
[1, 1],
[false, 1],
["0", 1],
]),
numCategories: 3,
})
);
});