Python numpy.VisibleDeprecationWarning方法代碼示例

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_numpy_reloading():
    # gh-7844. Also check that relevant globals retain their identity.
    import numpy as np
    import numpy._globals

    _NoValue = np._NoValue
    VisibleDeprecationWarning = np.VisibleDeprecationWarning
    ModuleDeprecationWarning = np.ModuleDeprecationWarning

    reload(np)
    assert_(_NoValue is np._NoValue)
    assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning)
    assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning)

    assert_raises(RuntimeError, reload, numpy._globals)
    reload(np)
    assert_(_NoValue is np._NoValue)
    assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning)
    assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_autostrip(self):
        # Test autostrip
        data = "01/01/2003  , 1.3,   abcde"
        kwargs = dict(delimiter=",", dtype=None)
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            mtest = np.ndfromtxt(TextIO(data), **kwargs)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        ctrl = np.array([('01/01/2003  ', 1.3, '   abcde')],
                        dtype=[('f0', '|S12'), ('f1', float), ('f2', '|S8')])
        assert_equal(mtest, ctrl)
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            mtest = np.ndfromtxt(TextIO(data), autostrip=True, **kwargs)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        ctrl = np.array([('01/01/2003', 1.3, 'abcde')],
                        dtype=[('f0', '|S10'), ('f1', float), ('f2', '|S5')])
        assert_equal(mtest, ctrl) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_simple(self):
        arr = np.ones((5, 4, 3))
        index = np.array([True])
        #self.assert_deprecated(arr.__getitem__, args=(index,))
        assert_warns(np.VisibleDeprecationWarning,
                     arr.__getitem__, index)

        index = np.array([False] * 6)
        #self.assert_deprecated(arr.__getitem__, args=(index,))
        assert_warns(np.VisibleDeprecationWarning,
             arr.__getitem__, index)

        index = np.zeros((4, 4), dtype=bool)
        #self.assert_deprecated(arr.__getitem__, args=(index,))
        assert_warns(np.VisibleDeprecationWarning,
             arr.__getitem__, index)
        #self.assert_deprecated(arr.__getitem__, args=((slice(None), index),))
        assert_warns(np.VisibleDeprecationWarning,
             arr.__getitem__, (slice(None), index)) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_bool_flat_indexing_invalid_nr_elements(self, level=rlevel):
        s = np.ones(10, dtype=float)
        x = np.array((15,), dtype=float)

        def ia(x, s, v):
            x[(s > 0)] = v

        # After removing deprecation, the following are ValueErrors.
        # This might seem odd as compared to the value error below. This
        # is due to the fact that the new code always uses "nonzero" logic
        # and the boolean special case is not taken.
        with warnings.catch_warnings():
            warnings.simplefilter('ignore', DeprecationWarning)
            warnings.simplefilter('ignore', np.VisibleDeprecationWarning)
            self.assertRaises(IndexError, ia, x, s, np.zeros(9, dtype=float))
            self.assertRaises(IndexError, ia, x, s, np.zeros(11, dtype=float))
        # Old special case (different code path):
        self.assertRaises(ValueError, ia, x.flat, s, np.zeros(9, dtype=float))
        self.assertRaises(ValueError, ia, x.flat, s, np.zeros(11, dtype=float)) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def assert_no_warnings(func, *args, **kw):
    """
    Parameters
    ----------
    func
    *args
    **kw
    """
    # very important to avoid uncontrolled state propagation
    clean_warning_registry()
    with warnings.catch_warnings(record=True) as w:
        warnings.simplefilter('always')

        result = func(*args, **kw)
        if hasattr(np, 'VisibleDeprecationWarning'):
            # Filter out numpy-specific warnings in numpy >= 1.9
            w = [e for e in w
                 if e.category is not np.VisibleDeprecationWarning]

        if len(w) > 0:
            raise AssertionError("Got warnings when calling %s: [%s]"
                                 % (func.__name__,
                                    ', '.join(str(warning) for warning in w)))
    return result 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_header(self):
        # Test retrieving a header
        data = TextIO('gender age weight\nM 64.0 75.0\nF 25.0 60.0')
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.ndfromtxt(data, dtype=None, names=True)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        control = {'gender': np.array([b'M', b'F']),
                   'age': np.array([64.0, 25.0]),
                   'weight': np.array([75.0, 60.0])}
        assert_equal(test['gender'], control['gender'])
        assert_equal(test['age'], control['age'])
        assert_equal(test['weight'], control['weight']) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_auto_dtype(self):
        # Test the automatic definition of the output dtype
        data = TextIO('A 64 75.0 3+4j True\nBCD 25 60.0 5+6j False')
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.ndfromtxt(data, dtype=None)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        control = [np.array([b'A', b'BCD']),
                   np.array([64, 25]),
                   np.array([75.0, 60.0]),
                   np.array([3 + 4j, 5 + 6j]),
                   np.array([True, False]), ]
        assert_equal(test.dtype.names, ['f0', 'f1', 'f2', 'f3', 'f4'])
        for (i, ctrl) in enumerate(control):
            assert_equal(test['f%i' % i], ctrl) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_commented_header(self):
        # Check that names can be retrieved even if the line is commented out.
        data = TextIO("""
#gender age weight
M   21  72.100000
F   35  58.330000
M   33  21.99
        """)
        # The # is part of the first name and should be deleted automatically.
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(data, names=True, dtype=None)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        ctrl = np.array([('M', 21, 72.1), ('F', 35, 58.33), ('M', 33, 21.99)],
                        dtype=[('gender', '|S1'), ('age', int), ('weight', float)])
        assert_equal(test, ctrl)
        # Ditto, but we should get rid of the first element
        data = TextIO(b"""
# gender age weight
M   21  72.100000
F   35  58.330000
M   33  21.99
        """)
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(data, names=True, dtype=None)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        assert_equal(test, ctrl) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_autonames_and_usecols(self):
        # Tests names and usecols
        data = TextIO('A B C D\n aaaa 121 45 9.1')
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.ndfromtxt(data, usecols=('A', 'C', 'D'),
                                names=True, dtype=None)
            assert_(w[0].category is np.VisibleDeprecationWarning)
        control = np.array(('aaaa', 45, 9.1),
                           dtype=[('A', '|S4'), ('C', int), ('D', float)])
        assert_equal(test, control) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_comments_is_none(self):
        # Github issue 329 (None was previously being converted to 'None').
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(TextIO("test1,testNonetherestofthedata"),
                                 dtype=None, comments=None, delimiter=',')
            assert_(w[0].category is np.VisibleDeprecationWarning)
        assert_equal(test[1], b'testNonetherestofthedata')
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(TextIO("test1, testNonetherestofthedata"),
                                 dtype=None, comments=None, delimiter=',')
            assert_(w[0].category is np.VisibleDeprecationWarning)
        assert_equal(test[1], b' testNonetherestofthedata') 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_latin1(self):
        latin1 = b'\xf6\xfc\xf6'
        norm = b"norm1,norm2,norm3\n"
        enc = b"test1,testNonethe" + latin1 + b",test3\n"
        s = norm + enc + norm
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(TextIO(s),
                                 dtype=None, comments=None, delimiter=',')
            assert_(w[0].category is np.VisibleDeprecationWarning)
        assert_equal(test[1, 0], b"test1")
        assert_equal(test[1, 1], b"testNonethe" + latin1)
        assert_equal(test[1, 2], b"test3")
        test = np.genfromtxt(TextIO(s),
                             dtype=None, comments=None, delimiter=',',
                             encoding='latin1')
        assert_equal(test[1, 0], u"test1")
        assert_equal(test[1, 1], u"testNonethe" + latin1.decode('latin1'))
        assert_equal(test[1, 2], u"test3")

        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(TextIO(b"0,testNonethe" + latin1),
                                 dtype=None, comments=None, delimiter=',')
            assert_(w[0].category is np.VisibleDeprecationWarning)
        assert_equal(test['f0'], 0)
        assert_equal(test['f1'], b"testNonethe" + latin1) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_utf8_byte_encoding(self):
        utf8 = b"\xcf\x96"
        norm = b"norm1,norm2,norm3\n"
        enc = b"test1,testNonethe" + utf8 + b",test3\n"
        s = norm + enc + norm
        with warnings.catch_warnings(record=True) as w:
            warnings.filterwarnings('always', '', np.VisibleDeprecationWarning)
            test = np.genfromtxt(TextIO(s),
                                 dtype=None, comments=None, delimiter=',')
            assert_(w[0].category is np.VisibleDeprecationWarning)
        ctl = np.array([
                 [b'norm1', b'norm2', b'norm3'],
                 [b'test1', b'testNonethe' + utf8, b'test3'],
                 [b'norm1', b'norm2', b'norm3']])
        assert_array_equal(test, ctl) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_utf8_file_nodtype_unicode(self):
        # bytes encoding with non-latin1 -> unicode upcast
        utf8 = u'\u03d6'
        latin1 = u'\xf6\xfc\xf6'

        # skip test if cannot encode utf8 test string with preferred
        # encoding. The preferred encoding is assumed to be the default
        # encoding of io.open. Will need to change this for PyTest, maybe
        # using pytest.mark.xfail(raises=***).
        try:
            encoding = locale.getpreferredencoding()
            utf8.encode(encoding)
        except (UnicodeError, ImportError):
            pytest.skip('Skipping test_utf8_file_nodtype_unicode, '
                        'unable to encode utf8 in preferred encoding')

        with temppath() as path:
            with io.open(path, "wt") as f:
                f.write(u"norm1,norm2,norm3\n")
                f.write(u"norm1," + latin1 + u",norm3\n")
                f.write(u"test1,testNonethe" + utf8 + u",test3\n")
            with warnings.catch_warnings(record=True) as w:
                warnings.filterwarnings('always', '',
                                        np.VisibleDeprecationWarning)
                test = np.genfromtxt(path, dtype=None, comments=None,
                                     delimiter=',')
                # Check for warning when encoding not specified.
                assert_(w[0].category is np.VisibleDeprecationWarning)
            ctl = np.array([
                     ["norm1", "norm2", "norm3"],
                     ["norm1", latin1, "norm3"],
                     ["test1", "testNonethe" + utf8, "test3"]],
                     dtype=np.unicode)
            assert_array_equal(test, ctl) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test(self):
        a = np.arange(10)
        assert_warns(np.VisibleDeprecationWarning, np.rank, a) 

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import VisibleDeprecationWarning [as 別名]
def test_multidim(self):
        # Automatically test combinations with complex indexes on 2nd (or 1st)
        # spot and the simple ones in one other spot.
        with warnings.catch_warnings():
            # This is so that np.array(True) is not accepted in a full integer
            # index, when running the file separately.
            warnings.filterwarnings('error', '', DeprecationWarning)
            warnings.filterwarnings('error', '', np.VisibleDeprecationWarning)

            def isskip(idx):
                return isinstance(idx, str) and idx == "skip"

            for simple_pos in [0, 2, 3]:
                tocheck = [self.fill_indices, self.complex_indices,
                           self.fill_indices, self.fill_indices]
                tocheck[simple_pos] = self.simple_indices
                for index in product(*tocheck):
                    index = tuple(i for i in index if not isskip(i))
                    self._check_multi_index(self.a, index)
                    self._check_multi_index(self.b, index)

        # Check very simple item getting:
        self._check_multi_index(self.a, (0, 0, 0, 0))
        self._check_multi_index(self.b, (0, 0, 0, 0))
        # Also check (simple cases of) too many indices:
        assert_raises(IndexError, self.a.__getitem__, (0, 0, 0, 0, 0))
        assert_raises(IndexError, self.a.__setitem__, (0, 0, 0, 0, 0), 0)
        assert_raises(IndexError, self.a.__getitem__, (0, 0, [1], 0, 0))
        assert_raises(IndexError, self.a.__setitem__, (0, 0, [1], 0, 0), 0)