feat: implemented sine wave

Scarb.lock

@@ -1,6 +1,71 @@
 # Code generated by scarb DO NOT EDIT.
 version = 1
 
+[[package]]
+name = "alexandria_data_structures"
+version = "0.2.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+dependencies = [
+ "alexandria_encoding",
+]
+
+[[package]]
+name = "alexandria_encoding"
+version = "0.1.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+dependencies = [
+ "alexandria_math",
+ "alexandria_numeric",
+]
+
+[[package]]
+name = "alexandria_math"
+version = "0.2.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+dependencies = [
+ "alexandria_data_structures",
+]
+
+[[package]]
+name = "alexandria_merkle_tree"
+version = "0.1.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+
+[[package]]
+name = "alexandria_numeric"
+version = "0.1.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+dependencies = [
+ "alexandria_math",
+]
+
+[[package]]
+name = "alexandria_sorting"
+version = "0.1.0"
+source = "git+https://github.com/keep-starknet-strange/alexandria.git?rev=800f5ad#800f5ad217847b5ded63c0302a444161766ee9d6"
+dependencies = [
+ "alexandria_data_structures",
+]
+
 [[package]]
 name = "cairo_wave"
 version = "0.1.0"
+dependencies = [
+ "orion",
+]
+
+[[package]]
+name = "cubit"
+version = "1.3.0"
+source = "git+https://github.com/influenceth/cubit.git?rev=6275608#62756082bf2555d7ab25c69d9c7bc30574ff1ce8"
+
+[[package]]
+name = "orion"
+version = "0.2.5"
+source = "git+https://github.com/gizatechxyz/onnx-cairo#efbe4aad518eeb9ccea778978da0323e5865d2cb"
+dependencies = [
+ "alexandria_data_structures",
+ "alexandria_merkle_tree",
+ "alexandria_sorting",
+ "cubit",
+]

Scarb.toml

@@ -9,3 +9,4 @@ sierra = true
 
 [dependencies]
 starknet = ">=2.6.0"
+orion = { git = "https://github.com/gizatechxyz/onnx-cairo" }

src/contract/notes.cairo

@@ -79,6 +79,20 @@ mod tests {
         println!("{:}", res);
     }
 
+    #[test]
+    fn test_sine_wave() {
+        let contract = deploy();
+        let note = Note { frequency_hz: 440, duration_ms: 1500, note_type: NoteType::Sine };
+
+        let res: ByteArray = contract.get_note(note);
+        assert!(res[0] == 'R');
+        assert!(res[1] == 'I');
+        assert!(res[2] == 'F');
+        assert!(res[3] == 'F');
+        println!("{:}", res);
+    }
+
+
     #[test]
     fn test_get_notes() {
         let contract = deploy();

src/utils.cairo

@@ -1,12 +1,37 @@
 use core::option::OptionTrait;
 use core::traits::TryInto;
+use orion::numbers::{FP32x32, FP32x32Impl, FixedTrait};
 const PRECISION: u64 = 1_000_000;
 
 // TODO: Test append to array version for efficiency
 
 // TODO
 fn generate_sine_wave(frequency_hz: u32, duration_ms: u32, sample_rate_hz: u32) -> Array<u8> {
-    let samples = array![];
+    let mut samples: Array<u8> = array![];
+    let num_samples: u32 = ((duration_ms * sample_rate_hz).into() / 1000);
+    let mut num_samples_left: u32 = ((duration_ms * sample_rate_hz).into() / 1000); //12,000
+
+    let denum: FP32x32 = FixedTrait::new_unscaled(1000 * num_samples_left.into(), false);
+    let PI: FP32x32 = FixedTrait::new(13493037705, false);
+    loop {
+        if num_samples_left == 0 {
+            break;
+        }
+        let num: FP32x32 = FixedTrait::new_unscaled(
+            (num_samples.into() - num_samples_left.into()) * duration_ms.into(), false
+        );
+
+        let t: FP32x32 = num / denum / FixedTrait::new_unscaled(1000 , false);
+        let mut fp: FP32x32 = (FixedTrait::new_unscaled((2 * frequency_hz.into()), false) * FixedTrait::new_unscaled(t.mag/1000 , false) * PI) / FixedTrait::new_unscaled(10000 , false);
+        let mut fp_sample_value: FP32x32 = fp.sin() * FixedTrait::new_unscaled(128, false);
+
+
+        fp_sample_value += FixedTrait::new_unscaled(128, false);
+        let sample_value: u8 = (fp_sample_value % FixedTrait::new_unscaled(128, false)).try_into().unwrap();
+        samples.append(sample_value);
+        num_samples_left -= 1;
+
+    };
     samples
 }