code
stringlengths
3
6.57k
len(knot_spacings)
mx.nd.array(knot_spacings)
PiecewiseLinear(gammas, slopess, knot_spacingss)
pwl_sqf.sample()
len(slopes)
PiecewiseLinearOutput(len(slopes)
PositiveFloat(0.01)
PositiveInt(20)
np.arange(0.1, 1.0, 0.1)
mx.nd.array(gamma_hat)
mx.nd.array(slopes_hat)
expand_dims(axis=0)
mx.nd.array(knot_spacings_hat)
expand_dims(axis=0)
mx.nd.array(quantile_levels)
expand_dims(axis=0)
asnumpy()
mx.nd.array(quantile_levels)
expand_dims(axis=0)
repeat(axis=0, repeats=num_samples)
asnumpy()
zip(quantiles, quantiles_hat)
np.abs(quantile_hat - quantile)
pytest.mark.skip("this test fails when run locally")
pytest.mark.parametrize("lam_1, lam_2", [(0.1, 0.01)
pytest.mark.parametrize("mu, sigma", [(-1.5, 0.5)
pytest.mark.parametrize("hybridize", [True])
mx.nd.zeros((NUM_SAMPLES,)
mx.nd.zeros((NUM_SAMPLES,)
InverseBoxCoxTransform(lamdas_1, lamdas_2)
mx.nd.zeros((NUM_SAMPLES,)
mx.nd.zeros((NUM_SAMPLES,)
Gaussian(mus, sigmas)
TransformedDistribution(gausian_distr, transform)
trans_distr.sample()
inv_softplus(sigma - START_TOL_MULTIPLE * TOL * sigma)
inv_softplus(lam_2 - START_TOL_MULTIPLE * TOL * lam_2)
GaussianOutput()
InverseBoxCoxTransformOutput(lb_obs=lam_2, fix_lambda_2=True)
PositiveFloat(0.01)
PositiveInt(18)
np.abs(lam_1_hat - lam_1)
np.abs(lam_2_hat - lam_2)
np.abs(mu_hat - mu)
np.abs(sigma_hat - sigma)
pytest.mark.parametrize("num_bins", [6])
np.array([0.3, 0.1, 0.05, 0.2, 0.1, 0.25])
pytest.mark.parametrize("hybridize", [True, False])
mx.nd.array(bin_probabilites)
mx.nd.array(np.logspace(-1, 1, num_bins)
mx.nd.zeros((NUM_SAMPLES, num_bins)
mx.nd.zeros((NUM_SAMPLES, num_bins)
Binned(bin_probs, bin_centers)
distr.sample()
mx.nd.random_uniform(1 - TOL, 1 + TOL, num_bins)
bin_prob_init.sum()
BinnedOutput(list(bin_center.asnumpy()
PositiveFloat(0.05)
PositiveInt(25)
mx.nd.abs(mx.nd.array(bin_prob_hat)
parse_version(kaitaistruct.__version__)
parse_version('0.9')
Exception("Incompatible Kaitai Struct Python API: 0.9 or later is required, but you have %s" % (kaitaistruct.__version__)
Nitf(KaitaiStruct)
NITF (National Image Transition Format)
Standard (NITFS)
Community (IC)
format (`file_version`)
__init__(self, _io, _parent=None, _root=None)
collections.defaultdict(dict)
_read(self)
self._io.pos()
self._root.Header(self._io, self, self._root)
self.header._read()
self._io.pos()
self._io.pos()
int(self.header.num_image_segments)
range(int(self.header.num_image_segments)
append({'start': self._io.pos()
self._root.ImageSegment(i, self._io, self, self._root)
_t_image_segments._read()
self._io.pos()
self._io.pos()
self._io.pos()
int(self.header.num_graphics_segments)
range(int(self.header.num_graphics_segments)
append({'start': self._io.pos()
self._root.GraphicsSegment(i, self._io, self, self._root)
_t_graphics_segments._read()
self._io.pos()
self._io.pos()
self._io.pos()
int(self.header.num_text_files)
range(int(self.header.num_text_files)
append({'start': self._io.pos()
self._root.TextSegment(i, self._io, self, self._root)
_t_text_segments._read()
self._io.pos()
self._io.pos()
self._io.pos()