Python tdist示例

示例#1

文件： test_truncatedFT.py 项目： snigdhagit/selective-inference

def test_T():

    f1 = sf_T(20.)
    f2 = tdist(20.)

    V = np.linspace(-2, 3, 201)
    V1 = [float(f1(v)) for v in V]
    V2 = f2.sf(V)
    np.testing.assert_allclose(V1, V2)

    V = np.linspace(-2, 3, 11)
    V1 = [float(f1(u, v)) for u, v in zip(V[:-1], V[1:])]
    V2 = [f2.sf(u) - f2.sf(v) for u, v in zip(V[:-1], V[1:])]
    np.testing.assert_allclose(V1, V2)

示例#2

文件： test_truncatedFT.py 项目： Xiaoying-Tian/selective-inference

def test_T():

    f1 = sf_T(20.)
    f2 = tdist(20.)

    V = np.linspace(-2,3,201)
    V1 = [float(f1(v)) for v in V]
    V2 = f2.sf(V)
    np.testing.assert_allclose(V1, V2)

    V = np.linspace(-2,3,11)
    V1 = [float(f1(u,v)) for u,v in zip(V[:-1],V[1:])]
    V2 = [f2.sf(u)-f2.sf(v) for u,v in zip(V[:-1],V[1:])]
    np.testing.assert_allclose(V1, V2)

示例#3

文件： T.py 项目： Xiaoying-Tian/selective-inference

    def __init__(self, intervals, df):

        self._T = tdist(df)
        self._Tsf = sf_T(df)

        truncated.__init__(self, intervals)

示例#4

文件： T.py 项目： snigdhagit/selective-inference

    def __init__(self, intervals, df):

        self._T = tdist(df)
        self._Tsf = sf_T(df)

        truncated.__init__(self, intervals)