Python numpy.geterrobj() Examples

The following are 28 code examples of numpy.geterrobj(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy , or try the search function .
Example #1
Source File: test_numeric.py    From recruit with Apache License 2.0 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #2
Source File: test_numeric.py    From keras-lambda with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #3
Source File: test_numeric.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #4
Source File: test_numeric.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #5
Source File: test_numeric.py    From coffeegrindsize with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #6
Source File: test_numeric.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #7
Source File: test_numeric.py    From ImageFusion with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            #call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #8
Source File: test_numeric.py    From mxnet-lambda with Apache License 2.0 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #9
Source File: test_numeric.py    From pySINDy with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #10
Source File: test_numeric.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #11
Source File: test_numeric.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #12
Source File: test_numeric.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #13
Source File: test_numeric.py    From vnpy_crypto with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #14
Source File: test_numeric.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up
def test_errobj_noerrmask(self):
        # errmask = 0 has a special code path for the default
        olderrobj = np.geterrobj()
        try:
            # set errobj to something non default
            np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT,
                         umath.ERR_DEFAULT + 1, None])
            # call a ufunc
            np.isnan(np.array([6]))
            # same with the default, lots of times to get rid of possible
            # pre-existing stack in the code
            for i in range(10000):
                np.seterrobj([umath.UFUNC_BUFSIZE_DEFAULT, umath.ERR_DEFAULT,
                             None])
            np.isnan(np.array([6]))
        finally:
            np.seterrobj(olderrobj) 
Example #15
Source File: test_numeric.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    self.assertEqual(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            self.assertEqual(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            self.assertEqual(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #16
Source File: test_numeric.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #17
Source File: test_numeric.py    From ImageFusion with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    array([1.]) / array([0.])
                    self.assertEqual(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert (len(extobj_err) == 2)
                assert ("divide" in extobj_err[0])

            with errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                array([1.]) / array([0.])
            self.assertEqual(self.called, 1)

            np.seterrobj(olderrobj)
            with errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            self.assertEqual(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #18
Source File: test_numeric.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #19
Source File: test_numeric.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    self.assertEqual(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            self.assertEqual(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            self.assertEqual(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #20
Source File: test_numeric.py    From pySINDy with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #21
Source File: test_numeric.py    From coffeegrindsize with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #22
Source File: test_numeric.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #23
Source File: test_numeric.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #24
Source File: test_numeric.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #25
Source File: test_numeric.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #26
Source File: test_numeric.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    self.assertEqual(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            self.assertEqual(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            self.assertEqual(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #27
Source File: test_numeric.py    From keras-lambda with MIT License 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    self.assertEqual(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            self.assertEqual(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            self.assertEqual(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called 
Example #28
Source File: test_numeric.py    From recruit with Apache License 2.0 5 votes vote down vote up
def test_errobj(self):
        olderrobj = np.geterrobj()
        self.called = 0
        try:
            with warnings.catch_warnings(record=True) as w:
                warnings.simplefilter("always")
                with np.errstate(divide='warn'):
                    np.seterrobj([20000, 1, None])
                    np.array([1.]) / np.array([0.])
                    assert_equal(len(w), 1)

            def log_err(*args):
                self.called += 1
                extobj_err = args
                assert_(len(extobj_err) == 2)
                assert_("divide" in extobj_err[0])

            with np.errstate(divide='ignore'):
                np.seterrobj([20000, 3, log_err])
                np.array([1.]) / np.array([0.])
            assert_equal(self.called, 1)

            np.seterrobj(olderrobj)
            with np.errstate(divide='ignore'):
                np.divide(1., 0., extobj=[20000, 3, log_err])
            assert_equal(self.called, 2)
        finally:
            np.seterrobj(olderrobj)
            del self.called