def transform_streamels(self, streamels):
check_streamels_1D(streamels)
check_streamels_continuous(streamels)
check_streamels_range(streamels, 0, 1)
n = streamels.size
streamels2 = np.zeros(n + 2, streamel_dtype)
streamels2['kind'][:] = ValueFormats.Continuous
streamels2['lower'][:n] = 0
streamels2['upper'][:n] = +1
# this is the mean
streamels2['lower'][n] = np.mean(streamels['lower'])
streamels2['upper'][n] = np.mean(streamels['upper'])
# this is the spread of the data
streamels2['lower'][n + 1] = 0
# XXX: we should find a different bounded
streamels2['upper'][n + 1] = (np.max(streamels['upper']) -
np.min(streamels['lower']))
# Save this so we can enforce it later
self.lower = streamels2['lower'].copy()
self.upper = streamels2['upper'].copy()
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
check_streamels_1D(streamels)
check_streamels_continuous(streamels)
if self.A0 is not None:
check_streamels_1D_size(streamels, self.A0.shape[1])
self.A = self._get_A(streamels)
if self.A.shape[1] != streamels.size:
msg = ('I expect a matrix with rows %d, got %s' %
(streamels.size, self.A.shape))
raise ValueError(msg)
# Save original constraints that we can pass to inverse()
self.old_streamels = streamels.copy()
streamels2 = np.zeros(self.A.shape[0], streamel_dtype)
streamels2['kind'][:] = ValueFormats.Continuous
find_polytope_bounds_after_linear(streamels, self.A, streamels2)
self.lower = streamels2['lower'].copy()
self.upper = streamels2['upper'].copy()
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
# Check that it is a 2D float image
check_streamels_2D(streamels)
check_streamels_continuous(streamels)
self.shape_from = streamels.shape
self.vmin = np.min(streamels['lower'])
self.vmax = np.max(streamels['upper'])
return make_streamels_2D_float(self.shape_to,
lower=self.vmin, upper=self.vmax)
def transform_streamels(self, streamels):
check_streamels_2D(streamels)
check_streamels_continuous(streamels)
check_streamels_range(streamels, 0, 1)
N, _ = streamels.shape
shape2 = N,
streamels2 = np.empty(shape=shape2, dtype=streamel_dtype)
streamels2['kind'].flat[:] = ValueFormats.Continuous
streamels2['lower'].flat[:] = 0
streamels2['upper'].flat[:] = 1
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
check_streamels_continuous(streamels)
# Save these so we can use them later
self.lower = streamels['lower'].copy()
self.upper = streamels['upper'].copy()
streamels2 = np.empty_like(streamels)
streamels2['kind'] = ValueFormats.Discrete
streamels2['lower'] = 0
streamels2['upper'] = self.levels - 1
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
check_streamels_1D(streamels)
check_streamels_continuous(streamels)
check_streamels_range(streamels, 0.0, 1.0)
M = streamels.size
n = M - 2
streamels2 = np.zeros(n, streamel_dtype)
streamels2['kind'][:] = ValueFormats.Continuous
streamels2['lower'][:] = 0
streamels2['upper'][:] = +1
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
# check_streamels_1D(streamels)
check_streamels_continuous(streamels)
streamels2 = np.zeros(streamels.shape, streamel_dtype)
streamels2["kind"][:] = ValueFormats.Continuous
streamels2["lower"][:] = self.ymin
streamels2["upper"][:] = self.ymax
# Save this so we can enforce it later
self.lower = streamels2["lower"].copy()
self.upper = streamels2["upper"].copy()
streamels2["default"] = self.transform_value(streamels["default"])
return streamels2
def transform_streamels(self, streamels):
check_streamels_1D(streamels)
check_streamels_continuous(streamels)
if not np.all(streamels['lower'] == 0):
raise UnsupportedSpec("I only accept signals with lower=0.")
if not np.all(streamels['upper'] == 1):
raise UnsupportedSpec("I only accept signals with upper=1.")
# TODO: check all floats and in 0--1
shape2 = streamels.shape[0], self.resolution
streamels2 = np.empty(shape=shape2, dtype=streamel_dtype)
streamels2['kind'].flat[:] = ValueFormats.Continuous
streamels2['lower'].flat[:] = 0
streamels2['upper'].flat[:] = 1
streamels2['default'] = popcode(streamels['default'], self.resolution)
return streamels2
def transform_streamels(self, streamels):
check_streamels_continuous(streamels)
self.streamels = streamels.copy()
return self.streamels
