forked from extern/nushell
85 lines
2.3 KiB
Rust
85 lines
2.3 KiB
Rust
use super::super::values::{Column, NuDataFrame};
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use nu_protocol::{
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ast::Call,
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engine::{Command, EngineState, Stack},
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Category, Example, PipelineData, ShellError, Signature, Span, Type, Value,
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};
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use polars::prelude::{IntoSeries, NewChunkedArray, UInt32Chunked};
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#[derive(Clone)]
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pub struct ArgMax;
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impl Command for ArgMax {
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fn name(&self) -> &str {
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"arg-max"
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}
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fn usage(&self) -> &str {
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"Return index for max value in series"
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_type(Type::Custom("dataframe".into()))
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.output_type(Type::Custom("dataframe".into()))
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.category(Category::Custom("dataframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "Returns index for max value",
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example: "[1 3 2] | into df | arg-max",
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result: Some(
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NuDataFrame::try_from_columns(vec![Column::new(
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"arg_max".to_string(),
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vec![Value::test_int(1)],
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)])
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.expect("simple df for test should not fail")
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.into_value(Span::test_data()),
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),
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}]
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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command(engine_state, stack, call, input)
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}
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}
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fn command(
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_engine_state: &EngineState,
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_stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let df = NuDataFrame::try_from_pipeline(input, call.head)?;
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let series = df.as_series(call.head)?;
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let res = series.arg_max();
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let chunked = match res {
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Some(index) => UInt32Chunked::from_slice("arg_max", &[index as u32]),
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None => UInt32Chunked::from_slice("arg_max", &[]),
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};
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let res = chunked.into_series();
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NuDataFrame::try_from_series(vec![res], call.head)
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.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
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}
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#[cfg(test)]
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mod test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new(ArgMax {})])
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}
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}
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