2 files changed, 0 insertions, 168 deletions
diff --git a/vendor/clap_builder/src/parser/features/mod.rs b/vendor/clap_builder/src/parser/features/mod.rs
deleted file mode 100644
index bdeb766..0000000
--- a/vendor/clap_builder/src/parser/features/mod.rs
+++ /dev/null
@@ -1 +0,0 @@
-pub(crate) mod suggestions;
diff --git a/vendor/clap_builder/src/parser/features/suggestions.rs b/vendor/clap_builder/src/parser/features/suggestions.rs
deleted file mode 100644
index b8bb7ad..0000000
--- a/vendor/clap_builder/src/parser/features/suggestions.rs
+++ /dev/null
@@ -1,167 +0,0 @@
-#[cfg(feature = "suggestions")]
-use std::cmp::Ordering;
-
-// Internal
-use crate::builder::Command;
-
-/// Find strings from an iterable of `possible_values` similar to a given value `v`
-/// Returns a Vec of all possible values that exceed a similarity threshold
-/// sorted by ascending similarity, most similar comes last
-#[cfg(feature = "suggestions")]
-pub(crate) fn did_you_mean<T, I>(v: &str, possible_values: I) -> Vec<String>
-where
-    T: AsRef<str>,
-    I: IntoIterator<Item = T>,
-{
-    let mut candidates: Vec<(f64, String)> = possible_values
-        .into_iter()
-        // GH #4660: using `jaro` because `jaro_winkler` implementation in `strsim-rs` is wrong
-        // causing strings with common prefix >=10 to be considered perfectly similar
-        .map(|pv| (strsim::jaro(v, pv.as_ref()), pv.as_ref().to_owned()))
-        // Confidence of 0.7 so that bar -> baz is suggested
-        .filter(|(confidence, _)| *confidence > 0.7)
-        .collect();
-    candidates.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap_or(Ordering::Equal));
-    candidates.into_iter().map(|(_, pv)| pv).collect()
-}
-
-#[cfg(not(feature = "suggestions"))]
-pub(crate) fn did_you_mean<T, I>(_: &str, _: I) -> Vec<String>
-where
-    T: AsRef<str>,
-    I: IntoIterator<Item = T>,
-{
-    Vec::new()
-}
-
-/// Returns a suffix that can be empty, or is the standard 'did you mean' phrase
-pub(crate) fn did_you_mean_flag<'a, 'help, I, T>(
-    arg: &str,
-    remaining_args: &[&std::ffi::OsStr],
-    longs: I,
-    subcommands: impl IntoIterator<Item = &'a mut Command>,
-) -> Option<(String, Option<String>)>
-where
-    'help: 'a,
-    T: AsRef<str>,
-    I: IntoIterator<Item = T>,
-{
-    use crate::mkeymap::KeyType;
-
-    match did_you_mean(arg, longs).pop() {
-        Some(candidate) => Some((candidate, None)),
-        None => subcommands
-            .into_iter()
-            .filter_map(|subcommand| {
-                subcommand._build_self(false);
-
-                let longs = subcommand.get_keymap().keys().filter_map(|a| {
-                    if let KeyType::Long(v) = a {
-                        Some(v.to_string_lossy().into_owned())
-                    } else {
-                        None
-                    }
-                });
-
-                let subcommand_name = subcommand.get_name();
-
-                let candidate = some!(did_you_mean(arg, longs).pop());
-                let score = some!(remaining_args.iter().position(|x| subcommand_name == *x));
-                Some((score, (candidate, Some(subcommand_name.to_string()))))
-            })
-            .min_by_key(|(x, _)| *x)
-            .map(|(_, suggestion)| suggestion),
-    }
-}
-
-#[cfg(all(test, feature = "suggestions"))]
-mod test {
-    use super::*;
-
-    #[test]
-    fn missing_letter() {
-        let p_vals = ["test", "possible", "values"];
-        assert_eq!(did_you_mean("tst", p_vals.iter()), vec!["test"]);
-    }
-
-    #[test]
-    fn ambiguous() {
-        let p_vals = ["test", "temp", "possible", "values"];
-        assert_eq!(did_you_mean("te", p_vals.iter()), vec!["test", "temp"]);
-    }
-
-    #[test]
-    fn unrelated() {
-        let p_vals = ["test", "possible", "values"];
-        assert_eq!(
-            did_you_mean("hahaahahah", p_vals.iter()),
-            Vec::<String>::new()
-        );
-    }
-
-    #[test]
-    fn best_fit() {
-        let p_vals = [
-            "test",
-            "possible",
-            "values",
-            "alignmentStart",
-            "alignmentScore",
-        ];
-        assert_eq!(
-            did_you_mean("alignmentScorr", p_vals.iter()),
-            vec!["alignmentStart", "alignmentScore"]
-        );
-    }
-
-    #[test]
-    fn best_fit_long_common_prefix_issue_4660() {
-        let p_vals = ["alignmentScore", "alignmentStart"];
-        assert_eq!(
-            did_you_mean("alignmentScorr", p_vals.iter()),
-            vec!["alignmentStart", "alignmentScore"]
-        );
-    }
-
-    #[test]
-    fn flag_missing_letter() {
-        let p_vals = ["test", "possible", "values"];
-        assert_eq!(
-            did_you_mean_flag("tst", &[], p_vals.iter(), []),
-            Some(("test".to_owned(), None))
-        );
-    }
-
-    #[test]
-    fn flag_ambiguous() {
-        let p_vals = ["test", "temp", "possible", "values"];
-        assert_eq!(
-            did_you_mean_flag("te", &[], p_vals.iter(), []),
-            Some(("temp".to_owned(), None))
-        );
-    }
-
-    #[test]
-    fn flag_unrelated() {
-        let p_vals = ["test", "possible", "values"];
-        assert_eq!(
-            did_you_mean_flag("hahaahahah", &[], p_vals.iter(), []),
-            None
-        );
-    }
-
-    #[test]
-    fn flag_best_fit() {
-        let p_vals = [
-            "test",
-            "possible",
-            "values",
-            "alignmentStart",
-            "alignmentScore",
-        ];
-        assert_eq!(
-            did_you_mean_flag("alignmentScorr", &[], p_vals.iter(), []),
-            Some(("alignmentScore".to_owned(), None))
-        );
-    }
-}