def test_rank_floats_and_ints(self):
row = [5.0, 4.0, 3.0, 2, 1]
exp_ranks = np.array([5, 4, 3, 2, 1])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_few_floats(self):
row = [6.6, 1.1, 3.3, 1.1]
exp_ranks = np.array([4, 1.5, 3, 1.5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_basic(self):
row = [1, 2, 3, 4, 5]
exp_ranks = np.array([1, 2, 3, 4, 5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_same_num(self):
row = [1.0, 1, 1]
exp_ranks = np.array([2, 2, 2])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_mostly_same_num(self):
row = [9, 9, 3, 9, 9]
exp_ranks = np.array([3.5, 3.5, 1, 3.5, 3.5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_few_floats(self):
row = [6.6, 1.1, 3.3, 1.1]
exp_ranks = np.array([4, 1.5, 3, 1.5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_floats(self):
row = [1.0, 2.0, 1.0, 4.0, 5.0]
exp_ranks = np.array([1.5, 3, 1.5, 4, 5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_mostly_same_num(self):
row = [9, 9, 3, 9, 9]
exp_ranks = np.array([3.5, 3.5, 1, 3.5, 3.5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_same_num(self):
row = [1.0, 1, 1]
exp_ranks = np.array([2, 2, 2])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_floats(self):
row = [1.0, 2.0, 1.0, 4.0, 5.0]
exp_ranks = np.array([1.5, 3, 1.5, 4, 5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_floats_and_ints(self):
row = [5.0, 4.0, 3.0, 2, 1]
exp_ranks = np.array([5, 4, 3, 2, 1])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
def test_rank_basic(self):
row = [1, 2, 3, 4, 5]
exp_ranks = np.array([1, 2, 3, 4, 5])
ranks = spearman._rankForSpearman(np.array(row))
self.nearly_same(ranks, exp_ranks, absTol=1e-18, relTol=1e-12)
