forked from extern/nushell
did_you_mean without dependency (#2610)
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parent
18909ec14a
commit
cf43b74f26
21
Cargo.lock
generated
21
Cargo.lock
generated
@ -2749,15 +2749,6 @@ dependencies = [
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"tempfile",
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]
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[[package]]
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name = "natural"
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version = "0.5.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "65e6b44f8ddc659cde3555e0140d3441ad26cb03a1410774af1f9a19097c1867"
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dependencies = [
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"rust-stemmers",
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]
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[[package]]
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name = "neso"
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version = "0.5.0"
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@ -2920,7 +2911,6 @@ dependencies = [
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"itertools",
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"log 0.4.11",
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"meval",
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"natural",
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"nu-data",
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"nu-errors",
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"nu-parser",
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@ -3068,7 +3058,6 @@ dependencies = [
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"indexmap",
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"itertools",
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"log 0.4.11",
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"natural",
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"nu-errors",
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"nu-source",
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"num-bigint 0.3.0",
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@ -4478,16 +4467,6 @@ version = "0.13.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "3e52c148ef37f8c375d49d5a73aa70713125b7f19095948a923f80afdeb22ec2"
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[[package]]
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name = "rust-stemmers"
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version = "1.2.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "e46a2036019fdb888131db7a4c847a1063a7493f971ed94ea82c67eada63ca54"
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dependencies = [
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"serde 1.0.115",
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"serde_derive",
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]
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[[package]]
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name = "rust_decimal"
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version = "0.10.2"
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@ -55,7 +55,6 @@ indexmap = {version = "1.6.0", features = ["serde-1"]}
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itertools = "0.9.0"
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log = "0.4.11"
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meval = "0.2.0"
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natural = "0.5.0"
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num-bigint = {version = "0.3.0", features = ["serde"]}
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num-format = {version = "0.4.0", features = ["with-num-bigint"]}
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num-traits = "0.2.12"
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@ -1,5 +1,6 @@
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use crate::command_registry::CommandRegistry;
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use crate::commands::classified::block::run_block;
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use crate::did_you_mean;
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use crate::evaluate::operator::apply_operator;
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use crate::prelude::*;
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use async_recursion::async_recursion;
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@ -148,24 +149,18 @@ pub(crate) async fn evaluate_baseline_expr(
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match next {
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Err(err) => {
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let possibilities = item.data_descriptors();
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if let UnspannedPathMember::String(_name) = &member.unspanned {
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let possible_matches = did_you_mean(&item, member.as_string());
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if let UnspannedPathMember::String(name) = &member.unspanned {
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let mut possible_matches: Vec<_> = possibilities
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.iter()
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.map(|x| (natural::distance::levenshtein_distance(x, &name), x))
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.collect();
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possible_matches.sort();
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if !possible_matches.is_empty() {
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return Err(ShellError::labeled_error(
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"Unknown column",
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format!("did you mean '{}'?", possible_matches[0].1),
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&member.span,
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));
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} else {
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return Err(err);
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match possible_matches {
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Some(p) => {
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return Err(ShellError::labeled_error(
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"Unknown column",
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format!("did you mean '{}'?", p[0]),
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&member.span,
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));
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}
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None => return Err(err),
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}
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}
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}
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@ -20,7 +20,6 @@ getset = "0.1.1"
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indexmap = {version = "1.6.0", features = ["serde-1"]}
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itertools = "0.9.0"
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log = "0.4.11"
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natural = "0.5.0"
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nu-errors = {path = "../nu-errors", version = "0.20.0"}
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nu-source = {path = "../nu-source", version = "0.20.0"}
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num-bigint = {version = "0.3.0", features = ["serde"]}
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@ -18,8 +18,9 @@ pub use crate::signature::{NamedType, PositionalType, Signature};
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pub use crate::syntax_shape::SyntaxShape;
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pub use crate::type_name::{PrettyType, ShellTypeName, SpannedTypeName};
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pub use crate::type_shape::{Row as RowType, Type};
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pub use crate::value::column_path::{did_you_mean, ColumnPath, PathMember, UnspannedPathMember};
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pub use crate::value::column_path::{ColumnPath, PathMember, UnspannedPathMember};
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pub use crate::value::dict::{Dictionary, TaggedDictBuilder};
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pub use crate::value::did_you_mean::did_you_mean;
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pub use crate::value::evaluate::Scope;
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pub use crate::value::primitive::Primitive;
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pub use crate::value::primitive::{format_date, format_duration, format_primitive};
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@ -2,6 +2,7 @@ pub mod column_path;
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mod convert;
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mod debug;
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pub mod dict;
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pub mod did_you_mean;
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pub mod evaluate;
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pub mod iter;
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pub mod primitive;
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@ -1,4 +1,3 @@
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use crate::Value;
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use derive_new::new;
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use getset::Getters;
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use nu_source::{b, span_for_spanned_list, DebugDocBuilder, HasFallibleSpan, PrettyDebug, Span};
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@ -112,65 +111,3 @@ impl PathMember {
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}
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}
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}
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/// Prepares a list of "sounds like" matches (using edit distance) for the string you're trying to find
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pub fn did_you_mean(obj_source: &Value, field_tried: String) -> Option<Vec<String>> {
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let possibilities = obj_source.data_descriptors();
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let mut possible_matches: Vec<_> = possibilities
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.into_iter()
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.map(|word| {
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let edit_distance = natural::distance::levenshtein_distance(&word, &field_tried);
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(edit_distance, word)
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})
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.collect();
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if !possible_matches.is_empty() {
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possible_matches.sort();
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let words_matched: Vec<String> = possible_matches.into_iter().map(|m| m.1).collect();
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Some(words_matched)
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} else {
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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::*;
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use crate::UntaggedValue;
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use indexmap::indexmap;
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use nu_source::Tag;
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#[test]
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fn did_you_mean_returns_possible_column_matches() {
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let value = UntaggedValue::row(indexmap! {
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"dog".to_string() => UntaggedValue::int(1).into(),
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"cat".to_string() => UntaggedValue::int(1).into(),
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"alt".to_string() => UntaggedValue::int(1).into(),
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});
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let source = Value {
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tag: Tag::unknown(),
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value,
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};
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assert_eq!(
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Some(vec![
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"cat".to_string(),
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"alt".to_string(),
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"dog".to_string()
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]),
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did_you_mean(&source, "hat".to_string())
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)
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}
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#[test]
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fn did_you_mean_returns_no_matches_when_empty() {
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let empty_source = Value {
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tag: Tag::unknown(),
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value: UntaggedValue::row(indexmap! {}),
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};
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assert_eq!(None, did_you_mean(&empty_source, "hat".to_string()))
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}
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}
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94
crates/nu-protocol/src/value/did_you_mean.rs
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94
crates/nu-protocol/src/value/did_you_mean.rs
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@ -0,0 +1,94 @@
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use crate::Value;
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use std::cmp;
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/// Prepares a list of "sounds like" matches (using edit distance) for the string you're trying to find
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pub fn did_you_mean(obj_source: &Value, field_tried: String) -> Option<Vec<String>> {
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let possibilities = obj_source.data_descriptors();
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let mut possible_matches: Vec<_> = possibilities
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.into_iter()
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.map(|word| {
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let edit_distance = levenshtein_distance(&word, &field_tried);
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(edit_distance, word)
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})
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.collect();
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if !possible_matches.is_empty() {
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possible_matches.sort();
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let words_matched: Vec<String> = possible_matches.into_iter().map(|m| m.1).collect();
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Some(words_matched)
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} else {
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None
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}
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}
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/// Borrowed from https://crates.io/crates/natural
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fn levenshtein_distance(str1: &str, str2: &str) -> usize {
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let n = str1.len();
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let m = str2.len();
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let mut current: Vec<usize> = (0..n + 1).collect();
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let a_vec: Vec<char> = str1.chars().collect();
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let b_vec: Vec<char> = str2.chars().collect();
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for i in 1..m + 1 {
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let previous = current;
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current = vec![0; n + 1];
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current[0] = i;
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for j in 1..n + 1 {
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let add = previous[j] + 1;
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let delete = current[j - 1] + 1;
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let mut change = previous[j - 1];
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if a_vec[j - 1] != b_vec[i - 1] {
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change += 1
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}
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current[j] = min3(add, delete, change);
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}
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}
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current[n]
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}
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fn min3<T: Ord>(a: T, b: T, c: T) -> T {
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cmp::min(a, cmp::min(b, c))
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}
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#[cfg(test)]
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mod test {
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use super::*;
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use crate::UntaggedValue;
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use indexmap::indexmap;
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use nu_source::Tag;
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#[test]
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fn did_you_mean_returns_possible_column_matches() {
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let value = UntaggedValue::row(indexmap! {
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"dog".to_string() => UntaggedValue::int(1).into(),
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"cat".to_string() => UntaggedValue::int(1).into(),
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"alt".to_string() => UntaggedValue::int(1).into(),
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});
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let source = Value {
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tag: Tag::unknown(),
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value,
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};
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assert_eq!(
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Some(vec![
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"cat".to_string(),
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"alt".to_string(),
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"dog".to_string()
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]),
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did_you_mean(&source, "hat".to_string())
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)
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}
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#[test]
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fn did_you_mean_returns_no_matches_when_empty() {
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let empty_source = Value {
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tag: Tag::unknown(),
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value: UntaggedValue::row(indexmap! {}),
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};
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assert_eq!(None, did_you_mean(&empty_source, "hat".to_string()))
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}
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}
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