diff --git a/src/tests/test_gf256.py b/src/tests/test_gf256.py
--- a/src/tests/test_gf256.py
+++ b/src/tests/test_gf256.py
@@ -9,7 +9,7 @@ from gf256 import *
 
 
 class TestGF256(TestCase):
-	def test_gfmul(self):
+	def test__gfmul(self):
 		self.assertEqual(_gfmul(0, 0), 0)
 		self.assertEqual(_gfmul(1, 1), 1)
 		self.assertEqual(_gfmul(2, 2), 4)
@@ -17,45 +17,45 @@ class TestGF256(TestCase):
 		self.assertEqual(_gfmul(0x53, 0xca), 0x01)
 		self.assertEqual(_gfmul(0xff, 0xff), 0x13)
 
-	def testGfmul(self):
+	def test_gfmul(self):
 		for a in range(256):
 			for b in range(256):
 				self.assertEqual(_gfmul(a, b), gfmul(a, b))
 
-	def testEvaluate(self):
+	def test_evaluate(self):
 		for x in range(256):
 			(a0, a1, a2, a3) = (x, x>>1, x>>2, x>>3)
 			self.assertEqual(evaluate([17], x), 17)  # constant polynomial
 			self.assertEqual(evaluate([a0, a1, a2, a3], 0), x)  # any polynomial at 0
 			self.assertEqual(evaluate([a0, a1, a2, a3], 1), a0^a1^a2^a3)  # polynomial at 1 == sum of coefficients
 
-	def testGetConstantCoef(self):
-		self.assertEqual(getConstantCoef((1, 1), (2, 2), (3, 3)), 0)
+	def test_get_constant_coef(self):
+		self.assertEqual(get_constant_coef((1, 1), (2, 2), (3, 3)), 0)
 
 		random.seed(17)
-		randomMatches = 0
+		random_matches = 0
 		for i in range(10):
 			k = random.randint(2, 255)
 
 			# exact
-			res = self.checkCoefsMatch(k, k)
+			res = self.check_coefs_match(k, k)
 			self.assertEqual(res[0], res[1])
 
 			# overdetermined
-			res = self.checkCoefsMatch(k, 256)
+			res = self.check_coefs_match(k, 256)
 			self.assertEqual(res[0], res[1])
 
 			# underdetermined => random
-			res = self.checkCoefsMatch(k, k-1)
+			res = self.check_coefs_match(k, k-1)
 			if res[0]==res[1]:
-				randomMatches += 1
-		self.assertLess(randomMatches, 2)  # with a chance (255/256)**10=0.96 there should be no match
+				random_matches += 1
+		self.assertLess(random_matches, 2)  # with a chance (255/256)**10=0.96 there should be no match
 
-	def checkCoefsMatch(self, k, m):
+	def check_coefs_match(self, k, m):
 		coefs = [random.randint(0, 255) for i in range(k)]
 		points = [(j, evaluate(coefs, j)) for j in range(1, 256)]
 		random.shuffle(points)
-		return (getConstantCoef(*points[:m]), coefs[0])
+		return (get_constant_coef(*points[:m]), coefs[0])
 
 
 if __name__=='__main__':