def test_one_is_zero(self):
     A = numpy.array([[1, 0], [3, 4]])
     B = numpy.array([[-1, -2], [-3, -4]])
     assert -1 == most_common_scale(A, B)
 def test_most_are_zero(self):
     A = numpy.array([[0, 0], [6, 0]])
     B = numpy.array([[-1, -2], [-3, -4]])
     assert -0.5 == most_common_scale(A, B)
 def test_all_differ_slightly(self):
     A = numpy.array([[1, 2], [3, 4], [5, 6]])
     B = numpy.array([[3.01, 6.01], [9.01, 12.01], [15.01, 18.01]])
     assert math.isclose(3.002, most_common_scale(A, B))
 def test_all_but_two_are_wrong(self):
     A = numpy.array([[1, 2], [3, 4], [5, 6]])
     B = numpy.array([[3.01, 8.01], [2.01, 19.01], [11.01, 18.01]])
     assert math.isclose(3, most_common_scale(A, B), abs_tol=0.01)
 def test_scale_two_error(self):
     A = numpy.array([[1, 2], [3, 4]])
     B = numpy.array([[2, 5], [6, 9]])
     assert 2 == most_common_scale(A, B)
 def test_scale_three_error(self):
     A = numpy.array([[1, 2], [3, 4], [5, 6]])
     B = numpy.array([[2, 5], [6, 9], [10, 11]])
     assert 2 == most_common_scale(A, B)
 def test_scale_two(self):
     A = numpy.array([[1, 2], [3, 4]])
     B = numpy.array([[2, 4], [6, 8]])
     assert 2 == most_common_scale(A, B)
 def test_scale_two_float(self):
     A = numpy.array([[1, 2], [3, 4]])
     B = numpy.array([[2.01, 4], [6, 8.01]])
     assert 2 == most_common_scale(A, B)
 def test_trivial_case(self):
     A = numpy.array([[1, 2], [3, 4]])
     B = numpy.array([[1, 2], [3, 4]])
     assert 1 == most_common_scale(A, B)
 def test_reference_all_zero(self):
     A = numpy.array([[1, 2], [3, 4], [5, 6]])
     B = numpy.array([[0, 0], [0, -0], [0, 0]])
     assert 0 == most_common_scale(A, B)
 def test_reference_two_are_zero(self):
     A = numpy.array([[1, 2], [3, 4], [5, 6]])
     B = numpy.array([[2, 0], [6, -0], [10, 12]])
     assert 2 == most_common_scale(A, B)
 def test_reference_is_zero(self):
     A = numpy.array([[1, 2], [3, 4]])
     B = numpy.array([[-2, 0], [-6, -8]])
     assert -2 == most_common_scale(A, B)
 def test_all_are_zero(self):
     A = numpy.array([[0, 0], [0, 0]])
     B = numpy.array([[-1, -2], [-3, -4]])
     assert numpy.isnan(most_common_scale(A, B))