Resolve nested tests

BrainJS · ashenmagic · Jun 15, 2024 · Jun 16, 2024 · Jun 16, 2024 · Jun 16, 2024
commit 42aece22c9be15bb824467c6025f5d1446e147d2
diff --git a/src/autoencoder.test.ts b/src/autoencoder.test.ts
@@ -48,36 +48,30 @@ test('denoise a data sample', async () => {
 
 test('encode and decode a data sample', async () => {
   expect(result.error).toBeLessThanOrEqual(errorThresh);
-  test('encode and decode a data sample', async () => {
-    expect(result.error).toBeLessThanOrEqual(errorThresh);
-
-    const run1$input = [0, 0, 0];
-    const run1$encoded = xornet.encode(run1$input);
-    const run1$decoded = xornet.decode(run1$encoded);
-
-    const run2$input = [0, 1, 1];
-    const run2$encoded = xornet.encode(run2$input);
-    const run2$decoded = xornet.decode(run2$encoded);
-
-    for (let i = 0; i < 3; i++)
-      expect(Math.round(run1$decoded[i])).toBe(run1$input[i]);
-    for (let i = 0; i < 3; i++)
-      expect(Math.round(run2$decoded[i])).toBe(run2$input[i]);
-  });
+
+  const run1$input = [0, 0, 0];
+  const run1$encoded = xornet.encode(run1$input);
+  const run1$decoded = xornet.decode(run1$encoded);
+
+  const run2$input = [0, 1, 1];
+  const run2$encoded = xornet.encode(run2$input);
+  const run2$decoded = xornet.decode(run2$encoded);
+
+  for (let i = 0; i < 3; i++)
+    expect(Math.round(run1$decoded[i])).toBe(run1$input[i]);
+  for (let i = 0; i < 3; i++)
+    expect(Math.round(run2$decoded[i])).toBe(run2$input[i]);
 });
 
 test('test a data sample for anomalies', async () => {
   expect(result.error).toBeLessThanOrEqual(errorThresh);
-  test('test a data sample for anomalies', async () => {
-    expect(result.error).toBeLessThanOrEqual(errorThresh);
-
-    function likelyIncludesAnomalies(...args: number[]) {
-      expect(xornet.likelyIncludesAnomalies(args, 0.5)).toBe(false);
-    }
-
-    likelyIncludesAnomalies(0, 0, 0);
-    likelyIncludesAnomalies(0, 1, 1);
-    likelyIncludesAnomalies(1, 0, 1);
-    likelyIncludesAnomalies(1, 1, 0);
-  });
+
+  function likelyIncludesAnomalies(...args: number[]) {
+    expect(xornet.likelyIncludesAnomalies(args, 0.5)).toBe(false);
+  }
+
+  likelyIncludesAnomalies(0, 0, 0);
+  likelyIncludesAnomalies(0, 1, 1);
+  likelyIncludesAnomalies(1, 0, 1);
+  likelyIncludesAnomalies(1, 1, 0);
 });