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# 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. -->
702 lines
23 KiB
Rust
702 lines
23 KiB
Rust
/// Definition of multiple Expression commands using a macro rule
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/// All of these expressions have an identical body and only require
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/// to have a change in the name, description and expression function
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use crate::dataframe::values::{Column, NuDataFrame, NuExpression, 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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// The structs defined in this file are structs that form part of other commands
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// since they share a similar name
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macro_rules! expr_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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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("expression".into()),
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Type::Custom("expression".into()),
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)
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.category(Category::Custom("expression".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$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 expr = NuExpression::try_from_pipeline(input, call.head)?;
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let expr: NuExpression = expr.into_polars().$func().into();
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Ok(PipelineData::Value(
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NuExpression::into_value(expr, call.head),
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None,
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))
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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use crate::dataframe::lazy::aggregate::LazyAggregate;
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use crate::dataframe::lazy::groupby::ToLazyGroupBy;
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#[test]
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fn test_examples() {
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test_dataframe(vec![
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Box::new($command {}),
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Box::new(LazyAggregate {}),
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Box::new(ToLazyGroupBy {}),
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])
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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, $ddof: 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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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("expression".into()),
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Type::Custom("expression".into()),
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)
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.category(Category::Custom("expression".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$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 expr = NuExpression::try_from_pipeline(input, call.head)?;
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let expr: NuExpression = expr.into_polars().$func($ddof).into();
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Ok(PipelineData::Value(
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NuExpression::into_value(expr, call.head),
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None,
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))
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::test_dataframe;
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use super::*;
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use crate::dataframe::lazy::aggregate::LazyAggregate;
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use crate::dataframe::lazy::groupby::ToLazyGroupBy;
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#[test]
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fn test_examples() {
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test_dataframe(vec![
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Box::new($command {}),
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Box::new(LazyAggregate {}),
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Box::new(ToLazyGroupBy {}),
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])
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}
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}
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};
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}
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// The structs defined in this file are structs that form part of other commands
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// since they share a similar name
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macro_rules! lazy_expr_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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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_types(vec![
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(
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Type::Custom("expression".into()),
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Type::Custom("expression".into()),
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),
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(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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),
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])
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.category(Category::Custom("expression".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$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 value = input.into_value(call.head);
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if NuDataFrame::can_downcast(&value) {
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let lazy = NuLazyFrame::try_from_value(value)?;
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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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.$func()
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.map_err(|e| ShellError::GenericError {
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error: "Dataframe Error".into(),
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msg: e.to_string(),
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help: None,
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span: None,
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inner: vec![],
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})?,
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);
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Ok(PipelineData::Value(lazy.into_value(call.head)?, None))
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} else {
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let expr = NuExpression::try_from_value(value)?;
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let expr: NuExpression = expr.into_polars().$func().into();
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Ok(PipelineData::Value(
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NuExpression::into_value(expr, call.head),
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None,
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))
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}
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::{
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build_test_engine_state, test_dataframe_example,
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};
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use super::*;
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use crate::dataframe::lazy::aggregate::LazyAggregate;
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use crate::dataframe::lazy::groupby::ToLazyGroupBy;
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#[test]
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fn test_examples_dataframe() {
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// the first example should be a for the dataframe case
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let example = &$command.examples()[0];
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let mut engine_state = build_test_engine_state(vec![Box::new($command {})]);
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test_dataframe_example(&mut engine_state, &example)
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}
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#[test]
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fn test_examples_expressions() {
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// the second example should be a for the dataframe case
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let example = &$command.examples()[1];
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let mut engine_state = build_test_engine_state(vec![
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Box::new($command {}),
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Box::new(LazyAggregate {}),
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Box::new(ToLazyGroupBy {}),
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]);
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test_dataframe_example(&mut engine_state, &example)
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}
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}
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};
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($command: ident, $name: expr, $desc: expr, $examples: expr, $func: ident, $test: ident, $ddof: 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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$desc
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_types(vec![
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(
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Type::Custom("expression".into()),
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Type::Custom("expression".into()),
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),
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(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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),
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])
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.category(Category::Custom("expression".into()))
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}
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fn examples(&self) -> Vec<Example> {
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$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 value = input.into_value(call.head);
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if NuDataFrame::can_downcast(&value) {
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let lazy = NuLazyFrame::try_from_value(value)?;
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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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.$func($ddof)
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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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} else {
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let expr = NuExpression::try_from_value(value)?;
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let expr: NuExpression = expr.into_polars().$func($ddof).into();
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Ok(PipelineData::Value(
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NuExpression::into_value(expr, call.head),
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None,
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))
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}
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}
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}
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#[cfg(test)]
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mod $test {
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use super::super::super::test_dataframe::{
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build_test_engine_state, test_dataframe_example,
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};
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use super::*;
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use crate::dataframe::lazy::aggregate::LazyAggregate;
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use crate::dataframe::lazy::groupby::ToLazyGroupBy;
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#[test]
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fn test_examples_dataframe() {
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// the first example should be a for the dataframe case
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let example = &$command.examples()[0];
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let mut engine_state = build_test_engine_state(vec![Box::new($command {})]);
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test_dataframe_example(&mut engine_state, &example)
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}
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#[test]
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fn test_examples_expressions() {
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// the second example should be a for the dataframe case
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let example = &$command.examples()[1];
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let mut engine_state = build_test_engine_state(vec![
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Box::new($command {}),
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Box::new(LazyAggregate {}),
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Box::new(ToLazyGroupBy {}),
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]);
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test_dataframe_example(&mut engine_state, &example)
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}
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}
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};
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}
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// ExprList command
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// Expands to a command definition for a list expression
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expr_command!(
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ExprList,
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"dfr implode",
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"Aggregates a group to a Series.",
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vec![Example {
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description: "",
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example: "",
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result: None,
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}],
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implode,
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test_implode
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);
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// ExprAggGroups command
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// Expands to a command definition for a agg groups expression
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expr_command!(
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ExprAggGroups,
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"dfr agg-groups",
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"Creates an agg_groups expression.",
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vec![Example {
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description: "",
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example: "",
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result: None,
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}],
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agg_groups,
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test_groups
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);
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// ExprCount command
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// Expands to a command definition for a count expression
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expr_command!(
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ExprCount,
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"dfr count",
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"Creates a count expression.",
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vec![Example {
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description: "",
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example: "",
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result: None,
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}],
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count,
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test_count
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);
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// ExprNot command
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// Expands to a command definition for a not expression
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expr_command!(
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ExprNot,
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"dfr expr-not",
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"Creates a not expression.",
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vec![Example {
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description: "Creates a not expression",
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example: "(dfr col a) > 2) | dfr expr-not",
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result: None,
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},],
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not,
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test_not
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);
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// ExprMax command
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// Expands to a command definition for max aggregation
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lazy_expr_command!(
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ExprMax,
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"dfr max",
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"Creates a max expression or aggregates columns to their max value.",
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vec![
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Example {
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description: "Max value from columns in a dataframe",
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example: "[[a b]; [6 2] [1 4] [4 1]] | dfr into-df | dfr max",
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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_int(6)],),
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Column::new("b".to_string(), vec![Value::test_int(4)],),
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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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Example {
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description: "Max aggregation for a group-by",
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example: r#"[[a b]; [one 2] [one 4] [two 1]]
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| dfr into-df
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| dfr group-by a
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| dfr agg (dfr col b | dfr max)"#,
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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_string("one"), Value::test_string("two")],
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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(4), Value::test_int(1)],
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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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],
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max,
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test_max
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);
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// ExprMin command
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// Expands to a command definition for min aggregation
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lazy_expr_command!(
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ExprMin,
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"dfr min",
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"Creates a min expression or aggregates columns to their min value.",
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vec![
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Example {
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description: "Min value from columns in a dataframe",
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example: "[[a b]; [6 2] [1 4] [4 1]] | dfr into-df | dfr min",
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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_int(1)],),
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Column::new("b".to_string(), 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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Example {
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description: "Min aggregation for a group-by",
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example: r#"[[a b]; [one 2] [one 4] [two 1]]
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| dfr into-df
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| dfr group-by a
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| dfr agg (dfr col b | dfr min)"#,
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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_string("one"), Value::test_string("two")],
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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(1)],
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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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],
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min,
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test_min
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);
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// ExprSum command
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// Expands to a command definition for sum aggregation
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lazy_expr_command!(
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ExprSum,
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"dfr sum",
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"Creates a sum expression for an aggregation or aggregates columns to their sum value.",
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vec![
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Example {
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description: "Sums all columns in a dataframe",
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example: "[[a b]; [6 2] [1 4] [4 1]] | dfr into-df | dfr sum",
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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_int(11)],),
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Column::new("b".to_string(), vec![Value::test_int(7)],),
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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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|
Example {
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description: "Sum aggregation for a group-by",
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example: r#"[[a b]; [one 2] [one 4] [two 1]]
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| dfr into-df
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| dfr group-by a
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| dfr agg (dfr col b | dfr sum)"#,
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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_string("one"), Value::test_string("two")],
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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(6), Value::test_int(1)],
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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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],
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sum,
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test_sum
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);
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// ExprMean command
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|
// Expands to a command definition for mean aggregation
|
|
lazy_expr_command!(
|
|
ExprMean,
|
|
"dfr mean",
|
|
"Creates a mean expression for an aggregation or aggregates columns to their mean value.",
|
|
vec![
|
|
Example {
|
|
description: "Mean value from columns in a dataframe",
|
|
example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr mean",
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new("a".to_string(), vec![Value::test_float(4.0)],),
|
|
Column::new("b".to_string(), vec![Value::test_float(2.0)],),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
Example {
|
|
description: "Mean aggregation for a group-by",
|
|
example: r#"[[a b]; [one 2] [one 4] [two 1]]
|
|
| dfr into-df
|
|
| dfr group-by a
|
|
| dfr agg (dfr col b | dfr mean)"#,
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new(
|
|
"a".to_string(),
|
|
vec![Value::test_string("one"), Value::test_string("two")],
|
|
),
|
|
Column::new(
|
|
"b".to_string(),
|
|
vec![Value::test_float(3.0), Value::test_float(1.0)],
|
|
),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
],
|
|
mean,
|
|
test_mean
|
|
);
|
|
|
|
// ExprMedian command
|
|
// Expands to a command definition for median aggregation
|
|
expr_command!(
|
|
ExprMedian,
|
|
"dfr median",
|
|
"Creates a median expression for an aggregation.",
|
|
vec![Example {
|
|
description: "Median aggregation for a group-by",
|
|
example: r#"[[a b]; [one 2] [one 4] [two 1]]
|
|
| dfr into-df
|
|
| dfr group-by a
|
|
| dfr agg (dfr col b | dfr median)"#,
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new(
|
|
"a".to_string(),
|
|
vec![Value::test_string("one"), Value::test_string("two")],
|
|
),
|
|
Column::new(
|
|
"b".to_string(),
|
|
vec![Value::test_float(3.0), Value::test_float(1.0)],
|
|
),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},],
|
|
median,
|
|
test_median
|
|
);
|
|
|
|
// ExprStd command
|
|
// Expands to a command definition for std aggregation
|
|
lazy_expr_command!(
|
|
ExprStd,
|
|
"dfr std",
|
|
"Creates a std expression for an aggregation of std value from columns in a dataframe.",
|
|
vec![
|
|
Example {
|
|
description: "Std value from columns in a dataframe",
|
|
example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr std",
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new("a".to_string(), vec![Value::test_float(2.0)],),
|
|
Column::new("b".to_string(), vec![Value::test_float(0.0)],),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
Example {
|
|
description: "Std aggregation for a group-by",
|
|
example: r#"[[a b]; [one 2] [one 2] [two 1] [two 1]]
|
|
| dfr into-df
|
|
| dfr group-by a
|
|
| dfr agg (dfr col b | dfr std)"#,
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new(
|
|
"a".to_string(),
|
|
vec![Value::test_string("one"), Value::test_string("two")],
|
|
),
|
|
Column::new(
|
|
"b".to_string(),
|
|
vec![Value::test_float(0.0), Value::test_float(0.0)],
|
|
),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
],
|
|
std,
|
|
test_std,
|
|
1
|
|
);
|
|
|
|
// ExprVar command
|
|
// Expands to a command definition for var aggregation
|
|
lazy_expr_command!(
|
|
ExprVar,
|
|
"dfr var",
|
|
"Create a var expression for an aggregation.",
|
|
vec![
|
|
Example {
|
|
description:
|
|
"Var value from columns in a dataframe or aggregates columns to their var value",
|
|
example: "[[a b]; [6 2] [4 2] [2 2]] | dfr into-df | dfr var",
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new("a".to_string(), vec![Value::test_float(4.0)],),
|
|
Column::new("b".to_string(), vec![Value::test_float(0.0)],),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
Example {
|
|
description: "Var aggregation for a group-by",
|
|
example: r#"[[a b]; [one 2] [one 2] [two 1] [two 1]]
|
|
| dfr into-df
|
|
| dfr group-by a
|
|
| dfr agg (dfr col b | dfr var)"#,
|
|
result: Some(
|
|
NuDataFrame::try_from_columns(vec![
|
|
Column::new(
|
|
"a".to_string(),
|
|
vec![Value::test_string("one"), Value::test_string("two")],
|
|
),
|
|
Column::new(
|
|
"b".to_string(),
|
|
vec![Value::test_float(0.0), Value::test_float(0.0)],
|
|
),
|
|
])
|
|
.expect("simple df for test should not fail")
|
|
.into_value(Span::test_data()),
|
|
),
|
|
},
|
|
],
|
|
var,
|
|
test_var,
|
|
1
|
|
);
|