Initial eddie support completed.

Cargo.toml

@@ -16,16 +16,18 @@ repository = "https://github.com/leontoeides/indicium"
 maintenance = { status = "actively-developed" }
 
 [features]
-default = [ "simple", "strsim", "eddie", "ahash" ]
+default = [ "simple", "strsim", "ahash" ]
 simple = []
 select2 = [ "simple", "serde" ]
 ahash = [ "dep:ahash" ]
 eddie = [ "dep:eddie" ]
+gxhash = [ "dep:gxhash" ]
 strsim = [ "dep:strsim" ]
 
 [dependencies]
 ahash = { version = "0.8", optional = true }
 eddie = { version = "0.4", optional = true }
+gxhash = { version = "2.2", optional = true }
 kstring = "2.0"
 serde = { version = "1.0", features = [ "derive" ], optional = true }
 strsim = { version = "0.10", optional = true }

src/simple/mod.rs

@@ -1,7 +1,10 @@
 //! The simple Indicium search implementation. Fewer bells-and-whistles but
 //! easier to use than the other options.
 //!
-//! There will be more search implementations in future versions.
+//! There might be more search implementations in future versions.
+
+#[cfg(all(feature = "eddie", feature = "strsim"))]
+compile_error!("feature `eddie` and `strsim` are mutually exclusive and cannot be enabled together");
 
 // Directories:
 mod autocomplete;

src/simple/tests.rs

@@ -154,13 +154,17 @@ fn simple() {
     assert_eq!(autocomplete_options, vec!["1087".to_string()]);
 
     // Test internal global fuzzy keyword search interface:
-    #[cfg(any(feature = "eddie", feature = "strsim"))]
+    #[cfg(feature = "eddie")]
+    let similar_keyword = search_index.eddie_global_keyword(&"Willy".to_lowercase());
+    #[cfg(feature = "strsim")]
     let similar_keyword = search_index.strsim_global_keyword(&"Willy".to_lowercase());
     #[cfg(any(feature = "eddie", feature = "strsim"))]
     assert_eq!(similar_keyword, Some(&KString::from_ref("william")));
 
     // Test internal global fuzzy autocompletion interface:
-    #[cfg(any(feature = "eddie", feature = "strsim"))]
+    #[cfg(feature = "eddie")]
+    let similar_autocompletions = search_index.eddie_global_autocomplete(&"Normy".to_lowercase());
+    #[cfg(feature = "strsim")]
     let similar_autocompletions = search_index.strsim_global_autocomplete(&"Normy".to_lowercase());
     #[cfg(any(feature = "eddie", feature = "strsim"))]
     let similar_autocompletions_vec: Vec<&KString> = similar_autocompletions.into_iter().map(|(keyword, _keys)| keyword).collect();