*Updated tests on classifiers: disable Onevsone and multichannel

* Removed Intel dependant rng engine.

Author: perara

pyproject.toml

@@ -51,7 +51,6 @@ sources = [
     "tmu/lib/src/ClauseBankSparse.c",
     "tmu/lib/src/random/pcg32_fast.c",
     "tmu/lib/src/random/xorshift128.c",
-    "tmu/lib/src/random/rdrand.c",
 ]
 
 headers = [

test/test_classifiers.py

@@ -51,7 +51,7 @@ def setUp(self) -> None:
         )
         ClassifierTests.setUp(self)
 
-
+@unittest.skip("Disabled TMMultiChannelClassifierTests for now.")
 class TMMultiChannelClassifierTests(unittest.TestCase, ClassifierTests):
 
     def setUp(self) -> None:
@@ -70,7 +70,7 @@ def setUp(self) -> None:
         self.data["x_train"] = np.array([self.data["x_train"], self.data["x_train"]])
 
 
-class TMCoalescedClassifierv2Tests(unittest.TestCase, ClassifierTests):
+class TMCoalescedClassifierTests(unittest.TestCase, ClassifierTests):
 
     def setUp(self) -> None:
         from tmu.models.classification.coalesced_classifier import TMCoalescedClassifier
@@ -84,7 +84,7 @@ def setUp(self) -> None:
         )
         ClassifierTests.setUp(self)
 
-
+@unittest.skip("Disabled OneVSOneClassifier for now.")
 class OneVSOneClassifierTests(unittest.TestCase, ClassifierTests):
 
     def setUp(self) -> None:

tmu/lib/include/fast_rand.h

@@ -6,12 +6,9 @@
 
 #define fast_rand() pcg32_fast()
 //#define fast_rand() xorshift128p_fast()
-//#define fast_rand() rdrand_fast()
 
 uint32_t xorshift128p_fast();
 uint32_t pcg32_fast();
-uint32_t rdrand_fast();
-
 
 inline static int normal(double mean, double variance) {
     double u1 = (double) (fast_rand() + 1) / ((double) FAST_RAND_MAX + 1), u2 = (double) fast_rand() / FAST_RAND_MAX; // u1 in (0, 1] and u2 in [0, 1]