diff options
Diffstat (limited to 'numpy/linalg/tests/test_linalg.py')
| -rw-r--r-- | numpy/linalg/tests/test_linalg.py | 11 |
1 files changed, 4 insertions, 7 deletions
diff --git a/numpy/linalg/tests/test_linalg.py b/numpy/linalg/tests/test_linalg.py index dd059fb63..c1ba84a8e 100644 --- a/numpy/linalg/tests/test_linalg.py +++ b/numpy/linalg/tests/test_linalg.py @@ -1,7 +1,6 @@ """ Test functions for linalg module """ -from numpy.core.fromnumeric import shape import os import sys import itertools @@ -22,7 +21,6 @@ from numpy.testing import ( assert_almost_equal, assert_allclose, suppress_warnings, assert_raises_regex, HAS_LAPACK64, ) -from numpy.testing._private.utils import requires_memory def consistent_subclass(out, in_): @@ -1072,7 +1070,6 @@ class TestMatrixPower: assert_raises(LinAlgError, matrix_power, mat, -1) - class TestEigvalshCases(HermitianTestCase, HermitianGeneralizedTestCase): def do(self, a, b, tags): @@ -1956,8 +1953,8 @@ class TestMultiDot: assert_almost_equal(multi_dot([A, B]), A.dot(B)) assert_almost_equal(multi_dot([A, B]), np.dot(A, B)) - def test_basic_function_with_dynamic_programing_optimization(self): - # multi_dot with four or more arguments uses the dynamic programing + def test_basic_function_with_dynamic_programming_optimization(self): + # multi_dot with four or more arguments uses the dynamic programming # optimization and therefore deserve a separate A = np.random.random((6, 2)) B = np.random.random((2, 6)) @@ -2018,8 +2015,8 @@ class TestMultiDot: assert_almost_equal(out, A.dot(B)) assert_almost_equal(out, np.dot(A, B)) - def test_dynamic_programing_optimization_and_out(self): - # multi_dot with four or more arguments uses the dynamic programing + def test_dynamic_programming_optimization_and_out(self): + # multi_dot with four or more arguments uses the dynamic programming # optimization and therefore deserve a separate test A = np.random.random((6, 2)) B = np.random.random((2, 6)) |