Added AI Test

- Added RNN Test

Algorthmic_Tests/gobalAlgTest.py

@@ -1,9 +1,10 @@
 from Algorthmic_Tests import primeCounter
 from Algorthmic_Tests import waveFunction
+from Algorthmic_Tests import rnnAlgorithm
 import time
 
 
-def algorithmTest():
+def algorithmTest(useGPU: bool = False):
     startTimer = time.process_time()
     startTimer2 = time.process_time()
 
@@ -29,6 +30,12 @@ def algorithmTest():
 
     endTimer5 = time.process_time()
 
+    startTimer6 = time.process_time()
+
+    rnnAlgorithm.RNN([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10, 10, 10, useGPU)
+
+    endTimer6 = time.process_time()
+
     endTimer = time.process_time()
 
     pointList = []
@@ -37,6 +44,7 @@ def algorithmTest():
     pointList.append((endTimer3 - startTimer3) // 0.0005 * 0.1)
     pointList.append((endTimer4 - startTimer4) // 0.0005 * 0.1)
     pointList.append((endTimer5 - startTimer5) // 0.0005 * 0.1)
+    pointList.append((endTimer6 - startTimer6) // 0.0005 * 0.1)
     pointList.append(sum(pointList) + (endTimer - startTimer) // 10)
 
     return pointList[-1]

Algorthmic_Tests/rnnAlgorithm.py

@@ -0,0 +1,13 @@
+from torch import nn
+from torch import Tensor
+
+
+def RNN(values: list, inputSize: int, hiddenSize: int, numLayers: int, useGPU: bool = False):
+    if useGPU == True:
+        rnn = nn.RNN(inputSize, hiddenSize, numLayers).to("cuda")
+    else:
+        rnn = nn.RNN(inputSize, hiddenSize, numLayers).to("cpu")
+
+    final = rnn(Tensor(values))
+
+    return final

ScoringSysCMD.py

@@ -29,6 +29,6 @@ def terminal(l = [], a = 0, b = 0, l2 = []):
 l2 = [random.randint(0, 100000000) for _ in range(random.randrange(8, 10000))]
 
 def run():
-    return terminal(l, a, b, l2))
+    return terminal(l, a, b, l2)
 
 print(run(l, a, b, l2))