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Method check_qr

numpy/linalg/tests/test_linalg.py:1737–1774  ·  view source on GitHub ↗
(self, a)

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1735 array = np.array
1736
1737 def check_qr(self, a):
1738 # This test expects the argument `a` to be an ndarray or
1739 # a subclass of an ndarray of inexact type.
1740 a_type = type(a)
1741 a_dtype = a.dtype
1742 m, n = a.shape
1743 k = min(m, n)
1744
1745 # mode == 'complete'
1746 res = linalg.qr(a, mode='complete')
1747 Q, R = res.Q, res.R
1748 assert_(Q.dtype == a_dtype)
1749 assert_(R.dtype == a_dtype)
1750 assert_(isinstance(Q, a_type))
1751 assert_(isinstance(R, a_type))
1752 assert_(Q.shape == (m, m))
1753 assert_(R.shape == (m, n))
1754 assert_almost_equal(dot(Q, R), a)
1755 assert_almost_equal(dot(Q.T.conj(), Q), np.eye(m))
1756 assert_almost_equal(np.triu(R), R)
1757
1758 # mode == 'reduced'
1759 q1, r1 = linalg.qr(a, mode='reduced')
1760 assert_(q1.dtype == a_dtype)
1761 assert_(r1.dtype == a_dtype)
1762 assert_(isinstance(q1, a_type))
1763 assert_(isinstance(r1, a_type))
1764 assert_(q1.shape == (m, k))
1765 assert_(r1.shape == (k, n))
1766 assert_almost_equal(dot(q1, r1), a)
1767 assert_almost_equal(dot(q1.T.conj(), q1), np.eye(k))
1768 assert_almost_equal(np.triu(r1), r1)
1769
1770 # mode == 'r'
1771 r2 = linalg.qr(a, mode='r')
1772 assert_(r2.dtype == a_dtype)
1773 assert_(isinstance(r2, a_type))
1774 assert_almost_equal(r2, r1)
1775
1776 @pytest.mark.parametrize(["m", "n"], [
1777 (3, 0),

Callers 2

test_qr_emptyMethod · 0.95

Calls 4

assert_Function · 0.90
assert_almost_equalFunction · 0.90
dotFunction · 0.90
minFunction · 0.50

Tested by

no test coverage detected