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Merge pull request #126 from nextmv-io/develop
Release v0.20.4
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,19 @@ | ||
| name: json lint | ||
| on: [push] | ||
| jobs: | ||
| sdk-json-lint: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: git clone | ||
| uses: actions/checkout@v3 | ||
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| - name: set up node | ||
| uses: actions/setup-node@v3 | ||
| with: | ||
| node-version: 16.17.1 | ||
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| - name: install prettier | ||
| run: npm install [email protected] --global | ||
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| - name: lint .json files with prettier | ||
| run: prettier -c "**/*.json" |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| tabWidth: 2 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| v0.20.3 | ||
| v0.20.4 |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,33 @@ | ||
| package dataframe | ||
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| import "fmt" | ||
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| // Aggregation defines how to aggregate rows of a group of rows in a Groups | ||
| // instance. | ||
| type Aggregation interface { | ||
| fmt.Stringer | ||
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| // Column returns the column the aggregation will be applied to. | ||
| Column() Column | ||
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| // As returns the column to be used to identify the newly created column. | ||
| // containing the aggregated value. | ||
| As() Column | ||
| } | ||
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| // Aggregations is the slice of Aggregation instances. | ||
| type Aggregations []Aggregation | ||
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| // NumericAggregations defines the possible aggregations which can be applied on | ||
| // columns of type Float and Int. | ||
| type NumericAggregations interface { | ||
| // Max creates an aggregation which reports the maximum value using | ||
| // name as. | ||
| Max(as string) Aggregation | ||
| // Min creates an aggregation which reports the minimum value using | ||
| // name as. | ||
| Min(as string) Aggregation | ||
| // Sum creates an aggregation which reports the sum of values using | ||
| // name as. | ||
| Sum(as string) Aggregation | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,130 @@ | ||
| package dataframe | ||
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| import ( | ||
| "fmt" | ||
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| "github.com/nextmv-io/sdk/connect" | ||
| ) | ||
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| // Bools returns a BoolColumn identified by name. | ||
| func Bools(name string) BoolColumn { | ||
| connect.Connect(con, &newBoolColumn) | ||
| return newBoolColumn(name) | ||
| } | ||
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| // Floats returns a FloatColumn identified by name. | ||
| func Floats(name string) FloatColumn { | ||
| connect.Connect(con, &newFloatColumn) | ||
| return newFloatColumn(name) | ||
| } | ||
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| // Ints returns a IntColumn identified by name. | ||
| func Ints(name string) IntColumn { | ||
| connect.Connect(con, &newIntColumn) | ||
| return newIntColumn(name) | ||
| } | ||
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| // Strings returns a StringColumn identified by name. | ||
| func Strings(name string) StringColumn { | ||
| connect.Connect(con, &newStringColumn) | ||
| return newStringColumn(name) | ||
| } | ||
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| // DataType defines the types of colums available in DataFrame. | ||
| type DataType string | ||
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| // Types of data in DataFrame. | ||
| const ( | ||
| // Bool type representing boolean true and false values. | ||
| Bool DataType = "bool" | ||
| // Int type representing int values. | ||
| Int = "int" | ||
| // Float type representing float64 values. | ||
| Float = "float" | ||
| // String type representing string values. | ||
| String = "string" | ||
| ) | ||
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| // Column is a single column in a DataFrame instance. It is identified by its | ||
| // name and has a DataType. | ||
| type Column interface { | ||
| fmt.Stringer | ||
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| // Name returns the name of the column, the name is the unique identifier | ||
| // of the column within a DataFrame instance. | ||
| Name() string | ||
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| // DataType returns the type of the column. | ||
| DataType() DataType | ||
| } | ||
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| // Columns is the slice of Column instances. | ||
| type Columns []Column | ||
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| // BoolColumn is the typed column of type Bool. | ||
| type BoolColumn interface { | ||
| Column | ||
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| // IsFalse creates a filter to filter all rows having value false. | ||
| IsFalse() Filter | ||
| // IsTrue creates a filter to filter all rows having value true. | ||
| IsTrue() Filter | ||
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| // Value return the value at row for dataframe df, | ||
| // panics if out of bound. | ||
| Value(df DataFrame, row int) bool | ||
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| // Values returns all the values in the column for dataframe df. | ||
| Values(df DataFrame) []bool | ||
| } | ||
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| // FloatColumn is the typed column of type Float. | ||
| type FloatColumn interface { | ||
| Column | ||
| NumericAggregations | ||
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| // IsInRange creates a filter to filter all rows within range [min, max]. | ||
| IsInRange(min, max float64) Filter | ||
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| // Value return the value at row, panics if out of bound. | ||
| Value(df DataFrame, row int) float64 | ||
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| // Values returns all the values in the column. | ||
| Values(df DataFrame) []float64 | ||
| } | ||
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| // IntColumn is the typed column of type Int. | ||
| type IntColumn interface { | ||
| Column | ||
| NumericAggregations | ||
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| // IsInRange creates a filter to filter all value within range [min, max]. | ||
| IsInRange(min, max int) Filter | ||
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| // Value return the value at row, panics if out of bound. | ||
| Value(df DataFrame, row int) int | ||
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| // Values returns all the values in the column. | ||
| Values(df DataFrame) []int | ||
| } | ||
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| // StringColumn is the typed column of type String. | ||
| type StringColumn interface { | ||
| Column | ||
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| // Equals creates a filter to filter all rows having value value. | ||
| Equals(value string) Filter | ||
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| // Value return the value at row, panics if out of bound. | ||
| Value(df DataFrame, row int) *string | ||
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| // Values returns all the values in the column. | ||
| Values(df DataFrame) []*string | ||
| } | ||
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| var ( | ||
| newBoolColumn func(string) BoolColumn | ||
| newFloatColumn func(string) FloatColumn | ||
| newIntColumn func(string) IntColumn | ||
| newStringColumn func(string) StringColumn | ||
| ) |
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