Python numpy.cdouble() Examples

The following are 30 code examples of numpy.cdouble(). 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_linalg.py    From lambda-packs with MIT License 6 votes vote down vote up 
def do(self, a, b):
        d = linalg.det(a)
        (s, ld) = linalg.slogdet(a)
        if asarray(a).dtype.type in (single, double):
            ad = asarray(a).astype(double)
        else:
            ad = asarray(a).astype(cdouble)
        ev = linalg.eigvals(ad)
        assert_almost_equal(d, multiply.reduce(ev, axis=-1))
        assert_almost_equal(s * np.exp(ld), multiply.reduce(ev, axis=-1))

        s = np.atleast_1d(s)
        ld = np.atleast_1d(ld)
        m = (s != 0)
        assert_almost_equal(np.abs(s[m]), 1)
        assert_equal(ld[~m], -inf)
Example #2
Source File: test_print.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_complex_inf_nan():
    """Check inf/nan formatting of complex types."""
    TESTS = {
        complex(np.inf, 0): "(inf+0j)",
        complex(0, np.inf): "infj",
        complex(-np.inf, 0): "(-inf+0j)",
        complex(0, -np.inf): "-infj",
        complex(np.inf, 1): "(inf+1j)",
        complex(1, np.inf): "(1+infj)",
        complex(-np.inf, 1): "(-inf+1j)",
        complex(1, -np.inf): "(1-infj)",
        complex(np.nan, 0): "(nan+0j)",
        complex(0, np.nan): "nanj",
        complex(-np.nan, 0): "(nan+0j)",
        complex(0, -np.nan): "nanj",
        complex(np.nan, 1): "(nan+1j)",
        complex(1, np.nan): "(1+nanj)",
        complex(-np.nan, 1): "(nan+1j)",
        complex(1, -np.nan): "(1+nanj)",
    }
    for tp in [np.complex64, np.cdouble, np.clongdouble]:
        for c, s in TESTS.items():
            yield _check_complex_inf_nan, c, s, tp
Example #3
Source File: test_linalg.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def do(self, a, b, tags):
        d = linalg.det(a)
        (s, ld) = linalg.slogdet(a)
        if asarray(a).dtype.type in (single, double):
            ad = asarray(a).astype(double)
        else:
            ad = asarray(a).astype(cdouble)
        ev = linalg.eigvals(ad)
        assert_almost_equal(d, multiply.reduce(ev, axis=-1))
        assert_almost_equal(s * np.exp(ld), multiply.reduce(ev, axis=-1))

        s = np.atleast_1d(s)
        ld = np.atleast_1d(ld)
        m = (s != 0)
        assert_almost_equal(np.abs(s[m]), 1)
        assert_equal(ld[~m], -inf)
Example #4
Source File: test_print.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up 
def test_complex_inf_nan():
    """Check inf/nan formatting of complex types."""
    TESTS = {
        complex(np.inf, 0): "(inf+0j)",
        complex(0, np.inf): "inf*j",
        complex(-np.inf, 0): "(-inf+0j)",
        complex(0, -np.inf): "-inf*j",
        complex(np.inf, 1): "(inf+1j)",
        complex(1, np.inf): "(1+inf*j)",
        complex(-np.inf, 1): "(-inf+1j)",
        complex(1, -np.inf): "(1-inf*j)",
        complex(np.nan, 0): "(nan+0j)",
        complex(0, np.nan): "nan*j",
        complex(-np.nan, 0): "(nan+0j)",
        complex(0, -np.nan): "nan*j",
        complex(np.nan, 1): "(nan+1j)",
        complex(1, np.nan): "(1+nan*j)",
        complex(-np.nan, 1): "(nan+1j)",
        complex(1, -np.nan): "(1+nan*j)",
    }
    for tp in [np.complex64, np.cdouble, np.clongdouble]:
        for c, s in TESTS.items():
            yield _check_complex_inf_nan, c, s, tp
Example #5
Source File: test_linalg.py    From auto-alt-text-lambda-api with MIT License 6 votes vote down vote up 
def do(self, a, b):
        d = linalg.det(a)
        (s, ld) = linalg.slogdet(a)
        if asarray(a).dtype.type in (single, double):
            ad = asarray(a).astype(double)
        else:
            ad = asarray(a).astype(cdouble)
        ev = linalg.eigvals(ad)
        assert_almost_equal(d, multiply.reduce(ev, axis=-1))
        assert_almost_equal(s * np.exp(ld), multiply.reduce(ev, axis=-1))

        s = np.atleast_1d(s)
        ld = np.atleast_1d(ld)
        m = (s != 0)
        assert_almost_equal(np.abs(s[m]), 1)
        assert_equal(ld[~m], -inf)
Example #6
Source File: test_print.py    From Computable with MIT License 6 votes vote down vote up 
def test_complex_inf_nan():
    """Check inf/nan formatting of complex types."""
    TESTS = {
        complex(np.inf, 0): "(inf+0j)",
        complex(0, np.inf): "inf*j",
        complex(-np.inf, 0): "(-inf+0j)",
        complex(0, -np.inf): "-inf*j",
        complex(np.inf, 1): "(inf+1j)",
        complex(1, np.inf): "(1+inf*j)",
        complex(-np.inf, 1): "(-inf+1j)",
        complex(1, -np.inf): "(1-inf*j)",
        complex(np.nan, 0): "(nan+0j)",
        complex(0, np.nan): "nan*j",
        complex(-np.nan, 0): "(nan+0j)",
        complex(0, -np.nan): "nan*j",
        complex(np.nan, 1): "(nan+1j)",
        complex(1, np.nan): "(1+nan*j)",
        complex(-np.nan, 1): "(nan+1j)",
        complex(1, -np.nan): "(1+nan*j)",
    }
    for tp in [np.complex64, np.cdouble, np.clongdouble]:
        for c, s in TESTS.items():
            yield _check_complex_inf_nan, c, s, tp
Example #7
Source File: test_linalg.py    From Computable with MIT License 6 votes vote down vote up 
def do(self, a, b):
        d = linalg.det(a)
        (s, ld) = linalg.slogdet(a)
        if asarray(a).dtype.type in (single, double):
            ad = asarray(a).astype(double)
        else:
            ad = asarray(a).astype(cdouble)
        ev = linalg.eigvals(ad)
        assert_almost_equal(d, multiply.reduce(ev, axis=-1))
        assert_almost_equal(s * np.exp(ld), multiply.reduce(ev, axis=-1))

        s = np.atleast_1d(s)
        ld = np.atleast_1d(ld)
        m = (s != 0)
        assert_almost_equal(np.abs(s[m]), 1)
        assert_equal(ld[~m], -inf)
Example #8
Source File: test_linalg.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def do(self, a, b, tags):
        d = linalg.det(a)
        (s, ld) = linalg.slogdet(a)
        if asarray(a).dtype.type in (single, double):
            ad = asarray(a).astype(double)
        else:
            ad = asarray(a).astype(cdouble)
        ev = linalg.eigvals(ad)
        assert_almost_equal(d, multiply.reduce(ev, axis=-1))
        assert_almost_equal(s * np.exp(ld), multiply.reduce(ev, axis=-1))

        s = np.atleast_1d(s)
        ld = np.atleast_1d(ld)
        m = (s != 0)
        assert_almost_equal(np.abs(s[m]), 1)
        assert_equal(ld[~m], -inf)
Example #9
Source File: test_linalg.py    From Computable with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            w, v = np.linalg.eigh(x)
            assert_equal(w.dtype, get_real_dtype(dtype))
            assert_equal(v.dtype, dtype)
        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #10
Source File: test_umath.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_precisions_consistent(self):
        z = 1 + 1j
        for f in self.funcs:
            fcf = f(np.csingle(z))
            fcd = f(np.cdouble(z))
            fcl = f(np.clongdouble(z))
            assert_almost_equal(fcf, fcd, decimal=6, err_msg='fch-fcd %s' % f)
            assert_almost_equal(fcl, fcd, decimal=15, err_msg='fch-fcl %s' % f)
Example #11
Source File: test_regression.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_complex_scalar_warning(self):
        for tp in [np.csingle, np.cdouble, np.clongdouble]:
            x = tp(1+2j)
            assert_warns(np.ComplexWarning, float, x)
            with suppress_warnings() as sup:
                sup.filter(np.ComplexWarning)
                assert_equal(float(x), float(x.real))
Example #12
Source File: test_regression.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_complex_scalar_complex_cast(self):
        for tp in [np.csingle, np.cdouble, np.clongdouble]:
            x = tp(1+2j)
            assert_equal(complex(x), 1+2j)
Example #13
Source File: test_regression.py    From Computable with MIT License 5 votes vote down vote up 
def test_complex_scalar_warning(self):
        for tp in [np.csingle, np.cdouble, np.clongdouble]:
            x = tp(1+2j)
            assert_warns(np.ComplexWarning, float, x)
            with warnings.catch_warnings():
                warnings.simplefilter('ignore')
                assert_equal(float(x), float(x.real))
Example #14
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            w = np.linalg.eigvalsh(x)
            assert_equal(w.dtype, get_real_dtype(dtype))
        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #15
Source File: test_print.py    From Computable with MIT License 5 votes vote down vote up 
def test_complex_types():
    """Check formatting of complex types.

        This is only for the str function, and only for simple types.
        The precision of np.float and np.longdouble aren't the same as the
        python float precision.

    """
    for t in [np.complex64, np.cdouble, np.clongdouble] :
        yield check_complex_type, t
Example #16
Source File: test_print.py    From Computable with MIT License 5 votes vote down vote up 
def test_complex_type_print():
    """Check formatting when using print """
    for t in [np.complex64, np.cdouble, np.clongdouble] :
        yield check_complex_type_print, t
Example #17
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_precisions_consistent(self) :
        z = 1 + 1j
        for f in self.funcs :
            fcf = f(np.csingle(z))
            fcd  = f(np.cdouble(z))
            fcl = f(np.clongdouble(z))
            assert_almost_equal(fcf, fcd, decimal=6, err_msg='fch-fcd %s'%f)
            assert_almost_equal(fcl, fcd, decimal=15, err_msg='fch-fcl %s'%f)
Example #18
Source File: test_regression.py    From Computable with MIT License 5 votes vote down vote up 
def test_complex_boolean_cast(self):
        """Ticket #2218"""
        for tp in [np.csingle, np.cdouble, np.clongdouble]:
            x = np.array([0, 0+0.5j, 0.5+0j], dtype=tp)
            assert_equal(x.astype(bool), np.array([0, 1, 1], dtype=bool))
            assert_(np.any(x))
            assert_(np.all(x[1:]))
Example #19
Source File: bench_basic.py    From Computable with MIT License 5 votes vote down vote up 
def direct_dft(x):
    x = asarray(x)
    n = len(x)
    y = zeros(n,dtype=cdouble)
    w = -arange(n)*(2j*pi/n)
    for i in range(n):
        y[i] = dot(exp(i*w),x)
    return y
Example #20
Source File: test_print.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_complex_types():
    """Check formatting of complex types.

        This is only for the str function, and only for simple types.
        The precision of np.float32 and np.longdouble aren't the same as the
        python float precision.

    """
    for t in [np.complex64, np.cdouble, np.clongdouble]:
        yield check_complex_type, t
Example #21
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            w, v = np.linalg.eigh(x)
            assert_equal(w.dtype, get_real_dtype(dtype))
            assert_equal(v.dtype, dtype)
        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #22
Source File: test_linalg.py    From Computable with MIT License 5 votes vote down vote up 
def get_real_dtype(dtype):
    return {single: single, double: double,
            csingle: single, cdouble: double}[dtype]
Example #23
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_zero(self):
        assert_equal(linalg.det([[0.0]]), 0.0)
        assert_equal(type(linalg.det([[0.0]])), double)
        assert_equal(linalg.det([[0.0j]]), 0.0)
        assert_equal(type(linalg.det([[0.0j]])), cdouble)

        assert_equal(linalg.slogdet([[0.0]]), (0.0, -inf))
        assert_equal(type(linalg.slogdet([[0.0]])[0]), double)
        assert_equal(type(linalg.slogdet([[0.0]])[1]), double)
        assert_equal(linalg.slogdet([[0.0j]]), (0.0j, -inf))
        assert_equal(type(linalg.slogdet([[0.0j]])[0]), cdouble)
        assert_equal(type(linalg.slogdet([[0.0j]])[1]), double)
Example #24
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            u, s, vh = linalg.svd(x)
            assert_equal(u.dtype, dtype)
            assert_equal(s.dtype, get_real_dtype(dtype))
            assert_equal(vh.dtype, dtype)
            s = linalg.svd(x, compute_uv=False)
            assert_equal(s.dtype, get_real_dtype(dtype))

        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #25
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            w, v = np.linalg.eig(x)
            assert_equal(w.dtype, dtype)
            assert_equal(v.dtype, dtype)

            x = np.array([[1, 0.5], [-1, 1]], dtype=dtype)
            w, v = np.linalg.eig(x)
            assert_equal(w.dtype, get_complex_dtype(dtype))
            assert_equal(v.dtype, get_complex_dtype(dtype))

        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #26
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            assert_equal(linalg.eigvals(x).dtype, dtype)
            x = np.array([[1, 0.5], [-1, 1]], dtype=dtype)
            assert_equal(linalg.eigvals(x).dtype, get_complex_dtype(dtype))
        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #27
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_types(self):
        def check(dtype):
            x = np.array([[1, 0.5], [0.5, 1]], dtype=dtype)
            assert_equal(linalg.solve(x, x).dtype, dtype)
        for dtype in [single, double, csingle, cdouble]:
            yield check, dtype
Example #28
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def get_complex_dtype(dtype):
    return {single: csingle, double: cdouble,
            csingle: csingle, cdouble: cdouble}[dtype]
Example #29
Source File: test_linalg.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def get_real_dtype(dtype):
    return {single: single, double: double,
            csingle: single, cdouble: double}[dtype]
Example #30
Source File: test_type_check.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_basic(self):
        ai32 = np.array([[1, 2], [3, 4]], dtype=np.int32)
        af16 = np.array([[1, 2], [3, 4]], dtype=np.float16)
        af32 = np.array([[1, 2], [3, 4]], dtype=np.float32)
        af64 = np.array([[1, 2], [3, 4]], dtype=np.float64)
        acs = np.array([[1+5j, 2+6j], [3+7j, 4+8j]], dtype=np.csingle)
        acd = np.array([[1+5j, 2+6j], [3+7j, 4+8j]], dtype=np.cdouble)
        assert_(common_type(ai32) == np.float64)
        assert_(common_type(af16) == np.float16)
        assert_(common_type(af32) == np.float32)
        assert_(common_type(af64) == np.float64)
        assert_(common_type(acs) == np.csingle)
        assert_(common_type(acd) == np.cdouble)