def test_correlation_9(self):
"farray.correlation_9"
x = self.a1
y = self.a2
x2 = np.empty((2, x.shape[0], x.shape[1]))
x2[0] = x
x2[1] = x
y2 = np.empty((2, y.shape[0], y.shape[1]))
y2[0] = y
y2[1] = y
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=-1)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
x = self.b1
y = self.b2
x2 = np.empty((2, x.shape[0], x.shape[1]))
x2[0] = x
x2[1] = x
y2 = np.empty((2, y.shape[0], y.shape[1]))
y2[0] = y
y2[1] = y
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=-1)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
def test_correlation_9(self):
"farray.correlation_9"
x = self.a1
y = self.a2
x2 = np.empty((2, x.shape[0], x.shape[1]))
x2[0] = x
x2[1] = x
y2 = np.empty((2, y.shape[0], y.shape[1]))
y2[0] = y
y2[1] = y
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=-1)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
x = self.b1
y = self.b2
x2 = np.empty((2, x.shape[0], x.shape[1]))
x2[0] = x
x2[1] = x
y2 = np.empty((2, y.shape[0], y.shape[1]))
y2[0] = y
y2[1] = y
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=-1)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
def test_correlation_3(self):
"farray.correlation_3"
x = self.a1[0,:]
y = self.a2[0,:]
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
x = self.b1[0,:]
y = self.b2[0,:]
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
def test_correlation_4(self):
"farray.correlation_4"
x = self.a1[1,:]
y = self.a2[1,:]
corr = correlation(x, y)
aae(corr, 1, err_msg="Perfect +1 correation")
x = self.b1[1,:]
y = self.b2[1,:]
corr = correlation(x, y)
aae(corr, 1, err_msg="Perfect +1 correation")
def test_correlation_5(self):
"farray.correlation_5"
x = self.a1[2,:]
y = self.a2[2,:]
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
x = self.b1[2,:]
y = self.b2[2,:]
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
def test_correlation_6(self):
"farray.correlation_6"
x = self.a1[3,:]
y = self.a2[3,:]
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
x = self.b1[3,:]
y = self.b2[3,:]
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
def test_correlation_5(self):
"farray.correlation_5"
x = self.a1[2, :]
y = self.a2[2, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
x = self.b1[2, :]
y = self.b2[2, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
def test_correlation_3(self):
"farray.correlation_3"
x = self.a1[0, :]
y = self.a2[0, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
x = self.b1[0, :]
y = self.b2[0, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
def test_correlation_6(self):
"farray.correlation_6"
x = self.a1[3,:]
y = self.a2[3,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
x = self.b1[3,:]
y = self.b2[3,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
def test_correlation_5(self):
"farray.correlation_5"
x = self.a1[2,:]
y = self.a2[2,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
x = self.b1[2,:]
y = self.b2[2,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -1, err_msg="Perfect -1 correation")
def test_correlation_3(self):
"farray.correlation_3"
x = self.a1[0,:]
y = self.a2[0,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
x = self.b1[0,:]
y = self.b2[0,:]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Correlation undefined")
def test_correlation_6(self):
"farray.correlation_6"
x = self.a1[3, :]
y = self.a2[3, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
x = self.b1[3, :]
y = self.b2[3, :]
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, -0.5, err_msg="-0.5 correation")
def test_correlation_8(self):
"farray.correlation_8"
x = self.a1.T
y = self.a2.T
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=0)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
x = self.b1.T
y = self.b2.T
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=0)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
def test_correlation_8(self):
"farray.correlation_8"
x = self.a1.T
y = self.a2.T
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=0)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
x = self.b1.T
y = self.b2.T
with np.errstate(invalid='ignore'):
corr = correlation(x, y, axis=0)
desired = np.array([nan, 1, -1, -0.5])
aae(corr, desired, err_msg="aggregate of 1d tests")
def test_correlation_1(self):
"farray.correlation_1"
x = np.array([])
y = np.array([])
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Empty correlation should be NaN")
def test_correlation_1(self):
"farray.correlation_1"
x = np.array([])
y = np.array([])
warnings.simplefilter("ignore")
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Empty correlation should be NaN")
def test_correlation_2(self):
"farray.correlation_2"
x = np.array([nan, nan])
y = np.array([nan, nan])
warnings.simplefilter("ignore")
corr = correlation(x, y)
aae(corr, np.nan, err_msg="All NaN correlation should be NaN")
def test_correlation_1(self):
"farray.correlation_1"
x = np.array([])
y = np.array([])
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Empty correlation should be NaN")
def test_correlation_2(self):
"farray.correlation_2"
x = np.array([nan, nan])
y = np.array([nan, nan])
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="All NaN correlation should be NaN")
def test_correlation_2(self):
"farray.correlation_2"
x = np.array([nan, nan])
y = np.array([nan, nan])
with np.errstate(invalid='ignore'):
corr = correlation(x, y)
aae(corr, np.nan, err_msg="All NaN correlation should be NaN")
def test_correlation_2(self):
"farray.correlation_2"
x = np.array([nan, nan])
y = np.array([nan, nan])
corr = correlation(x, y)
aae(corr, np.nan, err_msg="All NaN correlation should be NaN")
def test_correlation_1(self):
"farray.correlation_1"
x = np.array([])
y = np.array([])
corr = correlation(x, y)
aae(corr, np.nan, err_msg="Empty correlation should be NaN")