From 437ad32a65c3e2ef164ef9b294aa2e63efa354c1 Mon Sep 17 00:00:00 2001
From: Roman <roman.atachiants@gmail.com>
Date: Sun, 27 Oct 2024 16:44:56 +0400
Subject: [PATCH] moved

---
 internal/cosine/simd/simd.go         | 4 ++--
 {eval => internal/eval}/main.go      | 4 ++--
 {eval => internal/eval}/main_test.go | 0
 3 files changed, 4 insertions(+), 4 deletions(-)
 rename {eval => internal/eval}/main.go (98%)
 rename {eval => internal/eval}/main_test.go (100%)

diff --git a/internal/cosine/simd/simd.go b/internal/cosine/simd/simd.go
index b74bdb4..ecfdfd1 100644
--- a/internal/cosine/simd/simd.go
+++ b/internal/cosine/simd/simd.go
@@ -23,7 +23,7 @@ var pool = sync.Pool{
 	},
 }
 
-// Matmul multiplies matrix M by N and writes the result into dst
+// Cosine calculates the cosine similarity between two vectors
 func Cosine(a, b []float32) float64 {
 	if len(a) != len(b) {
 		panic("vectors must be of same length")
@@ -37,7 +37,7 @@ func Cosine(a, b []float32) float64 {
 		pool.Put(out)
 		return result
 	default:
-		return float64(cosine(a, b))
+		return cosine(a, b)
 	}
 }
 
diff --git a/eval/main.go b/internal/eval/main.go
similarity index 98%
rename from eval/main.go
rename to internal/eval/main.go
index 24fbb04..78edf0d 100644
--- a/eval/main.go
+++ b/internal/eval/main.go
@@ -15,7 +15,7 @@ import (
 )
 
 func loadModel() *search.Vectorizer {
-	model := "../dist/MiniLM-L6-v2.Q8_0.gguf"
+	model := "../../dist/MiniLM-L6-v2.Q8_0.gguf"
 	fmt.Printf("Loading model: %s\n", model)
 
 	mod, _ := filepath.Abs(model)
@@ -83,7 +83,7 @@ type entry struct {
 
 // loadSICK parses the SICK CSV dataset and returns sentence pairs with their relatedness scores
 func loadSICK() ([]entry, error) {
-	file, err := os.Open("../dist/dataset.txt")
+	file, err := os.Open("../../dist/dataset.txt")
 	if err != nil {
 		return nil, err
 	}
diff --git a/eval/main_test.go b/internal/eval/main_test.go
similarity index 100%
rename from eval/main_test.go
rename to internal/eval/main_test.go