forked from extern/nushell
# Description This PR does a few things to help improve type hovers and, in the process, fixes a few outstanding issues in the type system. Here's a list of the changes: * `for` now will try to infer the type of the iteration variable based on the expression it's given. This fixes things like `for x in [1, 2, 3] { }` where `x` now properly gets the int type. * Removed old input/output type fields from the signature, focuses on the vec of signatures. Updated a bunch of dataframe commands that hadn't moved over. This helps tie things together a bit better * Fixed inference of types from subexpressions to use the last expression in the block * Fixed handling of explicit types in `let` and `mut` calls, so we now respect that as the authoritative type I also tried to add `def` input/output type inference, but unfortunately we only know the predecl types universally, which means we won't have enough information to properly know what the types of the custom commands are. # User-Facing Changes Script typechecking will get tighter in some cases Hovers should be more accurate in some cases that previously resorted to any. # 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 -A clippy::needless_collect -A clippy::result_large_err` to check that you're using the standard code style - `cargo test --workspace` to check that all tests pass - `cargo run -- crates/nu-std/tests/run.nu` 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. --> --------- Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
251 lines
9.4 KiB
Rust
251 lines
9.4 KiB
Rust
use crate::dataframe::values::{Column, NuDataFrame, NuExpression, NuLazyFrame};
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use nu_engine::CallExt;
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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, SyntaxShape, Type, Value,
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};
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use polars::prelude::{Expr, JoinType};
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#[derive(Clone)]
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pub struct LazyJoin;
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impl Command for LazyJoin {
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fn name(&self) -> &str {
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"dfr join"
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}
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fn usage(&self) -> &str {
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"Joins a lazy frame with other lazy frame."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.required("other", SyntaxShape::Any, "LazyFrame to join with")
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.required("left_on", SyntaxShape::Any, "Left column(s) to join on")
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.required("right_on", SyntaxShape::Any, "Right column(s) to join on")
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.switch(
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"inner",
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"inner joing between lazyframes (default)",
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Some('i'),
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)
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.switch("left", "left join between lazyframes", Some('l'))
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.switch("outer", "outer join between lazyframes", Some('o'))
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.switch("cross", "cross join between lazyframes", Some('c'))
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.named(
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"suffix",
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SyntaxShape::String,
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"Suffix to use on columns with same name",
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Some('s'),
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)
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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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vec![
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Example {
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description: "Join two lazy dataframes",
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example: r#"let df_a = ([[a b c];[1 "a" 0] [2 "b" 1] [1 "c" 2] [1 "c" 3]] | dfr into-lazy);
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let df_b = ([["foo" "bar" "ham"];[1 "a" "let"] [2 "c" "var"] [3 "c" "const"]] | dfr into-lazy);
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$df_a | dfr join $df_b a foo | dfr collect"#,
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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![
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Value::test_int(1),
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Value::test_int(2),
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Value::test_int(1),
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Value::test_int(1),
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],
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),
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Column::new(
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"b".to_string(),
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vec![
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Value::test_string("a"),
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Value::test_string("b"),
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Value::test_string("c"),
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Value::test_string("c"),
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],
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),
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Column::new(
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"c".to_string(),
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vec![
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Value::test_int(0),
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Value::test_int(1),
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Value::test_int(2),
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Value::test_int(3),
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],
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),
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Column::new(
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"bar".to_string(),
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vec![
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Value::test_string("a"),
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Value::test_string("c"),
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Value::test_string("a"),
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Value::test_string("a"),
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],
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),
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Column::new(
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"ham".to_string(),
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vec![
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Value::test_string("let"),
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Value::test_string("var"),
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Value::test_string("let"),
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Value::test_string("let"),
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],
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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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Example {
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description: "Join one eager dataframe with a lazy dataframe",
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example: r#"let df_a = ([[a b c];[1 "a" 0] [2 "b" 1] [1 "c" 2] [1 "c" 3]] | dfr into-df);
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let df_b = ([["foo" "bar" "ham"];[1 "a" "let"] [2 "c" "var"] [3 "c" "const"]] | dfr into-lazy);
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$df_a | dfr join $df_b a foo"#,
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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![
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Value::test_int(1),
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Value::test_int(2),
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Value::test_int(1),
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Value::test_int(1),
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],
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),
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Column::new(
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"b".to_string(),
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vec![
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Value::test_string("a"),
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Value::test_string("b"),
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Value::test_string("c"),
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Value::test_string("c"),
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],
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),
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Column::new(
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"c".to_string(),
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vec![
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Value::test_int(0),
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Value::test_int(1),
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Value::test_int(2),
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Value::test_int(3),
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],
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),
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Column::new(
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"bar".to_string(),
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vec![
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Value::test_string("a"),
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Value::test_string("c"),
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Value::test_string("a"),
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Value::test_string("a"),
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],
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),
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Column::new(
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"ham".to_string(),
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vec![
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Value::test_string("let"),
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Value::test_string("var"),
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Value::test_string("let"),
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Value::test_string("let"),
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],
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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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}
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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 left = call.has_flag("left");
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let outer = call.has_flag("outer");
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let cross = call.has_flag("cross");
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let how = if left {
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JoinType::Left
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} else if outer {
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JoinType::Outer
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} else if cross {
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JoinType::Cross
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} else {
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JoinType::Inner
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};
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let other: Value = call.req(engine_state, stack, 0)?;
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let other = NuLazyFrame::try_from_value(other)?;
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let other = other.into_polars();
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let left_on: Value = call.req(engine_state, stack, 1)?;
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let left_on = NuExpression::extract_exprs(left_on)?;
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let right_on: Value = call.req(engine_state, stack, 2)?;
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let right_on = NuExpression::extract_exprs(right_on)?;
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if left_on.len() != right_on.len() {
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let right_on: Value = call.req(engine_state, stack, 2)?;
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return Err(ShellError::IncompatibleParametersSingle {
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msg: "The right column list has a different size to the left column list".into(),
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span: right_on.span()?,
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});
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}
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// Checking that both list of expressions are made out of col expressions or strings
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for (index, list) in &[(1usize, &left_on), (2, &left_on)] {
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if list.iter().any(|expr| !matches!(expr, Expr::Column(..))) {
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let value: Value = call.req(engine_state, stack, *index)?;
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return Err(ShellError::IncompatibleParametersSingle {
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msg: "Expected only a string, col expressions or list of strings".into(),
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span: value.span()?,
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});
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}
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}
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let suffix: Option<String> = call.get_flag(engine_state, stack, "suffix")?;
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let suffix = suffix.unwrap_or_else(|| "_x".into());
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let value = input.into_value(call.head);
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let lazy = NuLazyFrame::try_from_value(value)?;
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let from_eager = lazy.from_eager;
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let lazy = lazy.into_polars();
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let lazy = lazy
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.join_builder()
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.with(other)
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.left_on(left_on)
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.right_on(right_on)
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.how(how)
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.force_parallel(true)
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.suffix(suffix)
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.finish();
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let lazy = NuLazyFrame::new(from_eager, lazy);
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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(LazyJoin {})])
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}
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}
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