From 4544adb3d0ae0257cb9b728b4e6eca6dd2d0b79e Mon Sep 17 00:00:00 2001
From: NunoSempere <nuno.sempere@protonmail.com>
Date: Fri, 16 Feb 2024 10:10:16 +0100
Subject: [PATCH] wrangle mixture syntax

---
 go/notes.md    |  4 +++-
 go/squiggle.go | 12 ++++++++++++
 2 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/go/notes.md b/go/notes.md
index 9adf28ef..87348e5a 100644
--- a/go/notes.md
+++ b/go/notes.md
@@ -1,5 +1,7 @@
 - [x] Hello world program
 - [x] Look into randomness sources in go
   - rand/v2 api: <https://pkg.go.dev/math/rand/v2>
-- [ ] Test with a million samples of a simple lognormal, just to get a sense of speed
+- [x] Test with a million samples of a simple lognormal, just to get a sense of speed
 - [ ] Add mixture distribution
+- [ ] Look into go routines for filling up an array.
+- [ ] Anonymous functions for nested: https://stackoverflow.com/questions/74523441/nested-functions-in-go
diff --git a/go/squiggle.go b/go/squiggle.go
index e7990ba6..c932d059 100644
--- a/go/squiggle.go
+++ b/go/squiggle.go
@@ -47,6 +47,12 @@ func sample_to(low float64, high float64) float64 {
 	return math.Exp(sample_normal_from_90_ci(loglow, loghigh))
 }
 
+type func64 func() float64
+
+func sample_mixture(fs [](func(float64) float64), ps []float64) float64 {
+	return 1.0
+}
+
 func main() {
 	var n_samples int = 1000000
 	// var array_samples [n_samples]float64
@@ -57,4 +63,10 @@ func main() {
 	avg = avg / float64(n_samples)
 	fmt.Printf("%v\n", avg)
 
+	f1 := func() float64 {
+		return sample_to(1, 10)
+	}
+
+	fs := [3](func64){f1, f1, f1}
+	// x := sample_mixture()
 }