Python umath.sqrt方法代碼示例

本文整理匯總了Python中numpy.core.umath.sqrt方法的典型用法代碼示例。如果您正苦於以下問題：Python umath.sqrt方法的具體用法？Python umath.sqrt怎麽用？Python umath.sqrt使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.core.umath的用法示例。

在下文中一共展示了umath.sqrt方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_branch_cuts

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        _check_branch_cut(np.log,   -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log2,  -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True)
        _check_branch_cut(np.sqrt,  -0.5, 1j, 1, -1, True)

        _check_branch_cut(np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True)
        _check_branch_cut(np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True)
        _check_branch_cut(np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True)

        _check_branch_cut(np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True)
        _check_branch_cut(np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True)
        _check_branch_cut(np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True)

        # check against bogus branch cuts: assert continuity between quadrants
        _check_branch_cut(np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1)
        _check_branch_cut(np.arccos, [0-2j, 2j], [ 1,  1], 1, 1)
        _check_branch_cut(np.arctan, [ -2,  2], [1j, 1j], 1, 1)

        _check_branch_cut(np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1)
        _check_branch_cut(np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1)
        _check_branch_cut(np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:26，代碼來源:test_umath.py

示例2: test_branch_cuts_complex64

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_branch_cuts_complex64(self):
        # check branch cuts and continuity on them
        _check_branch_cut(np.log,   -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log2,  -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.sqrt,  -0.5, 1j, 1, -1, True, np.complex64)

        _check_branch_cut(np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True, np.complex64)

        _check_branch_cut(np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True, np.complex64)
        _check_branch_cut(np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True, np.complex64)

        # check against bogus branch cuts: assert continuity between quadrants
        _check_branch_cut(np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arccos, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arctan, [ -2,  2], [1j, 1j], 1, 1, False, np.complex64)

        _check_branch_cut(np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1, False, np.complex64)
        _check_branch_cut(np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1, False, np.complex64)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:26，代碼來源:test_umath.py

示例3: test_branch_cuts

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1, True
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1, True

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True
        yield _check_branch_cut, np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True

        yield _check_branch_cut, np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arccos, [0-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1
        yield _check_branch_cut, np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1
        yield _check_branch_cut, np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1

開發者ID:abhisuri97，項目名稱:auto-alt-text-lambda-api，代碼行數:26，代碼來源:test_umath.py

示例4: test_branch_cuts_complex64

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_branch_cuts_complex64(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1, True, np.complex64

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True, np.complex64

        yield _check_branch_cut, np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True, np.complex64
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True, np.complex64

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arccos, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1, False, np.complex64

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1, False, np.complex64

開發者ID:abhisuri97，項目名稱:auto-alt-text-lambda-api，代碼行數:26，代碼來源:test_umath.py

示例5: test_power_float

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_power_float(self):
        x = np.array([1., 2., 3.])
        assert_equal(x**0, [1., 1., 1.])
        assert_equal(x**1, x)
        assert_equal(x**2, [1., 4., 9.])
        y = x.copy()
        y **= 2
        assert_equal(y, [1., 4., 9.])
        assert_almost_equal(x**(-1), [1., 0.5, 1./3])
        assert_almost_equal(x**(0.5), [1., ncu.sqrt(2), ncu.sqrt(3)])

        for out, inp, msg in _gen_alignment_data(dtype=np.float32,
                                                 type='unary'):
            exp = [ncu.sqrt(i) for i in inp]
            assert_almost_equal(inp**(0.5), exp, err_msg=msg)
            np.sqrt(inp, out=out)
            assert_equal(out, exp, err_msg=msg)

        for out, inp, msg in _gen_alignment_data(dtype=np.float64,
                                                 type='unary'):
            exp = [ncu.sqrt(i) for i in inp]
            assert_almost_equal(inp**(0.5), exp, err_msg=msg)
            np.sqrt(inp, out=out)
            assert_equal(out, exp, err_msg=msg)

開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:26，代碼來源:test_umath.py

示例6: test_branch_cuts

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, -1j], 1, -1
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, -1j], 1, -1
        yield _check_branch_cut, np.arctan, [-2j, 2j],  [1,  -1 ], -1, 1

        yield _check_branch_cut, np.arcsinh, [-2j,  2j], [-1,   1], -1, 1
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, -1j], 1, -1

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arccos, [-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1 ], 1, 1
        yield _check_branch_cut, np.arccosh, [-2j, 2j, 2], [1,  1,  1j], 1, 1
        yield _check_branch_cut, np.arctanh, [-2j, 2j, 0], [1,  1,  1j], 1, 1

開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:26，代碼來源:test_umath.py

示例7: _std

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def _std(array, epsilon=1.0, bounds=None, axis=None, dtype=None, keepdims=np._NoValue, accountant=None, nan=False):
    ret = _var(array, epsilon=epsilon, bounds=bounds, axis=axis, dtype=dtype, keepdims=keepdims, accountant=accountant,
               nan=nan)

    if isinstance(ret, mu.ndarray):
        ret = um.sqrt(ret)
    elif hasattr(ret, 'dtype'):
        ret = ret.dtype.type(um.sqrt(ret))
    else:
        ret = um.sqrt(ret)

    return ret

開發者ID:IBM，項目名稱:differential-privacy-library，代碼行數:14，代碼來源:utils.py

示例8: test_power_float

# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import sqrt [as 別名]
def test_power_float(self):
        x = np.array([1., 2., 3.])
        assert_equal(x**0, [1., 1., 1.])
        assert_equal(x**1, x)
        assert_equal(x**2, [1., 4., 9.])
        y = x.copy()
        y **= 2
        assert_equal(y, [1., 4., 9.])
        assert_almost_equal(x**(-1), [1., 0.5, 1./3])
        assert_almost_equal(x**(0.5), [1., ncu.sqrt(2), ncu.sqrt(3)])

        for out, inp, msg in _gen_alignment_data(dtype=np.float32,
                                                 type='unary',
                                                 max_size=11):
            exp = [ncu.sqrt(i) for i in inp]
            assert_almost_equal(inp**(0.5), exp, err_msg=msg)
            np.sqrt(inp, out=out)
            assert_equal(out, exp, err_msg=msg)

        for out, inp, msg in _gen_alignment_data(dtype=np.float64,
                                                 type='unary',
                                                 max_size=7):
            exp = [ncu.sqrt(i) for i in inp]
            assert_almost_equal(inp**(0.5), exp, err_msg=msg)
            np.sqrt(inp, out=out)
            assert_equal(out, exp, err_msg=msg)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:28，代碼來源:test_umath.py

注：本文中的numpy.core.umath.sqrt方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。