# Description * release notes https://github.com/pola-rs/polars/releases/tag/rs-0.36.2 * dependencies remove `sysinfo` 0.29.11 add `polars-compute` 0.36.2 # User-Facing Changes [Change value_counts resulting column name from counts to count](https://github.com/pola-rs/polars/pull/12506) # Tests + Formatting <!-- Don't forget to add tests that cover your changes. Make sure you've run and fixed any issues with these commands: - `cargo fmt --all -- --check` to check standard code formatting (`cargo fmt --all` applies these changes) - `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used` to check that you're using the standard code style - `cargo test --workspace` to check that all tests pass (on Windows make sure to [enable developer mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging)) - `cargo run -- -c "use std testing; testing run-tests --path crates/nu-std"` to run the tests for the standard library > **Note** > from `nushell` you can also use the `toolkit` as follows > ```bash > use toolkit.nu # or use an `env_change` hook to activate it automatically > toolkit check pr > ``` --> # After Submitting <!-- If your PR had any user-facing changes, update [the documentation](https://github.com/nushell/nushell.github.io) after the PR is merged, if necessary. This will help us keep the docs up to date. -->
245 lines
7.4 KiB
Rust
245 lines
7.4 KiB
Rust
/// Definition of multiple lazyframe commands using a macro rule
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/// All of these commands have an identical body and only require
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/// to have a change in the name, description and function
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use crate::dataframe::values::{Column, NuDataFrame, NuLazyFrame};
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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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macro_rules! lazy_command {
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($command: ident, $name: expr, $desc: expr, $examples: expr, $func: ident, $test: ident) => {
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#[derive(Clone)]
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pub struct $command;
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impl Command for $command {
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fn name(&self) -> &str {
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$name
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}
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fn usage(&self) -> &str {
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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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)
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.category(Category::Custom("lazyframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$examples
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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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let lazy = NuLazyFrame::try_from_pipeline(input, call.head)?;
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let lazy = NuLazyFrame::new(lazy.from_eager, lazy.into_polars().$func());
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Ok(PipelineData::Value(lazy.into_value(call.head)?, None))
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new($command {})])
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}
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}
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};
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($command: ident, $name: expr, $desc: expr, $examples: expr, $func: ident, $test: ident, $ddot: expr) => {
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#[derive(Clone)]
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pub struct $command;
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impl Command for $command {
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fn name(&self) -> &str {
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$name
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}
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fn usage(&self) -> &str {
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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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)
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.category(Category::Custom("lazyframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$examples
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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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let lazy = NuLazyFrame::try_from_pipeline(input, call.head)?;
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let lazy = NuLazyFrame::new(lazy.from_eager, lazy.into_polars().$func($ddot));
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Ok(PipelineData::Value(lazy.into_value(call.head)?, None))
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new($command {})])
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}
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}
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};
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($command: ident, $name: expr, $desc: expr, $examples: expr, $func: ident?, $test: ident) => {
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#[derive(Clone)]
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pub struct $command;
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impl Command for $command {
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fn name(&self) -> &str {
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$name
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}
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fn usage(&self) -> &str {
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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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)
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.category(Category::Custom("lazyframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$examples
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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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let lazy = NuLazyFrame::try_from_pipeline(input, call.head)?;
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let lazy = NuLazyFrame::new(
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lazy.from_eager,
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lazy.into_polars()
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.$func()
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.map_err(|e| ShellError::GenericError {
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error: "Dataframe Error".into(),
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msg: e.to_string(),
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help: None,
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span: None,
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inner: vec![],
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})?,
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);
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Ok(PipelineData::Value(lazy.into_value(call.head)?, None))
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new($command {})])
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}
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}
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};
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}
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// LazyReverse command
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// Expands to a command definition for reverse
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lazy_command!(
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LazyReverse,
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"dfr reverse",
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"Reverses the LazyFrame",
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vec![Example {
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description: "Reverses the dataframe.",
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example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr reverse",
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result: Some(
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NuDataFrame::try_from_columns(vec![
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Column::new(
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"a".to_string(),
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vec![Value::test_int(2), Value::test_int(4), Value::test_int(6),],
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),
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Column::new(
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"b".to_string(),
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vec![Value::test_int(2), Value::test_int(2), Value::test_int(2),],
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),
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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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reverse,
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test_reverse
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);
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// LazyCache command
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// Expands to a command definition for cache
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lazy_command!(
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LazyCache,
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"dfr cache",
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"Caches operations in a new LazyFrame.",
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vec![Example {
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description: "Caches the result into a new LazyFrame",
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example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr reverse | dfr cache",
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result: None,
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}],
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cache,
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test_cache
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);
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// LazyMedian command
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// Expands to a command definition for median aggregation
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lazy_command!(
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LazyMedian,
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"dfr median",
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"Aggregates columns to their median value",
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vec![Example {
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description: "Median value from columns in a dataframe",
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example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr median",
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result: Some(
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NuDataFrame::try_from_columns(vec![
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Column::new("a".to_string(), vec![Value::test_float(4.0)],),
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Column::new("b".to_string(), vec![Value::test_float(2.0)],),
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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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median?,
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test_median
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);
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