def test_mean():
assert_export(sc.mean, sc.Variable(), 'x')
def test_atan2():
var = sc.Variable()
assert_export(sc.atan2, y=var, x=var)
assert_export(sc.atan2, y=var, x=var, out=var)
def test_isfinite():
assert_export(sc.isfinite, sc.Variable())
def test_acos():
assert_export(sc.acos, sc.Variable())
def test_atan():
assert_export(sc.atan, sc.Variable())
def test_log10():
var = sc.Variable()
assert_export(sc.log10, x=var)
def test_sin_out():
var = sc.Variable()
assert_export(sc.sin, var, out=var)
def test_variance_acess():
v = sc.Variable()
assert v.variance is None
assert v.variances is None
def test_create_from_numpy_1d_bool():
var = sc.Variable(dims=['x'], values=np.array([True, False, True]))
assert var.dtype == sc.dtype.bool
np.testing.assert_array_equal(var.values, np.array([True, False, True]))
def test_sqrt_out():
var = sc.Variable()
assert_export(sc.sqrt, var, var)
def test_values_variances():
assert_export(sc.values, sc.Variable())
assert_export(sc.variances, sc.Variable())
def test_sqrt():
assert_export(sc.sqrt, sc.Variable())
def test_norm():
assert_export(sc.norm, sc.Variable())
def test_mean_in_place():
var = sc.Variable()
assert_export(sc.mean, sc.Variable(), 'x', var)
def test_reciprocal_out():
var = sc.Variable()
assert_export(sc.reciprocal, var, var)
def test_sum_mean():
var = sc.Variable(dims=['x'], values=np.arange(5, dtype=np.int64))
assert sc.is_equal(sc.sum(var, 'x'), sc.Variable(10))
var = sc.Variable(dims=['x'], values=np.arange(6, dtype=np.int64))
assert sc.is_equal(sc.mean(var, 'x'), sc.Variable(2.5))
def test_exp():
var = sc.Variable()
assert_export(sc.exp, x=var)
def test_construct_0d_native_python_types():
assert sc.Variable(2).dtype == sc.dtype.int64
assert sc.Variable(2.0).dtype == sc.dtype.float64
assert sc.Variable(True).dtype == sc.dtype.bool
def test_create_scalar():
var = sc.Variable(1.2)
assert var.value == 1.2
assert var.dims == []
assert var.dtype == sc.dtype.float64
assert var.unit == sc.units.dimensionless
def test_construct_0d_dtype():
assert sc.Variable(2, dtype=np.int32).dtype == sc.dtype.int32
assert sc.Variable(np.float64(2),
dtype=np.float32).dtype == sc.dtype.float32
assert sc.Variable(1, dtype=np.bool).dtype == sc.dtype.bool
def test_asin():
assert_export(sc.asin, sc.Variable())
def test_rename_dims():
values = np.arange(6).reshape(2, 3)
xy = sc.Variable(dims=['x', 'y'], values=values)
zy = sc.Variable(dims=['z', 'y'], values=values)
xy.rename_dims({'x': 'z'})
assert sc.is_equal(xy, zy)
def test_acos_out():
var = sc.Variable()
assert_export(sc.acos, var, out=var)
def test_create_1d_with_strings():
v = sc.Variable(dims=['x'], values=["aaa", "ff", "bb"])
assert np.all(v.values == np.array(["aaa", "ff", "bb"]))
def test_atan_out():
var = sc.Variable()
assert_export(sc.atan, var, out=var)
def test_bool_variable_repr():
a = sc.Variable(dims=['x'],
values=np.array([False, True, True, False, True]))
assert [expected in repr(a) for expected in ["True", "False", "..."]]
def test_isnan():
assert_export(sc.isnan, sc.Variable())
def test_reciprocal():
assert_export(sc.reciprocal, sc.Variable())
def test_isneginf():
assert_export(sc.isneginf, sc.Variable())
def test_create_from_numpy_1d():
var = sc.Variable(dims=['x'], values=np.arange(4.0))
assert var.dtype == sc.dtype.float64
np.testing.assert_array_equal(var.values, np.arange(4))
