def transform_streamels(self, streamels):
check_streamels_1D(streamels)
n = streamels.size
self.select = range(0, n, self.every)
streamels2 = streamels[self.select]
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_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)
self.shape2 = (self.rows, streamels.size)
streamels2 = new_streamels(self.shape2)
for row in range(self.rows):
streamels2[row, :] = streamels
return streamels2
def transform_streamels(self, streamels):
check_streamels_1D(streamels)
min_size = max(self.select) + 1
if min_size > streamels.size:
msg = ('This nuisance requires a stream with at least %d '
'streamels; found %s.' % (min_size, streamels.size))
raise UnsupportedSpec(msg)
streamels2 = streamels[self.select]
return streamels2
def transform_spec(self, spec):
obs = spec.get_observations()
cmd = spec.get_commands()
# get the streamels
streamels1 = cmd.get_streamels()
check_streamels_1D(streamels1)
# the extra command
extra_cmd = make_streamel_bit()
# join the two
streamels2 = streamels_join_1D(streamels1, extra_cmd)
cmd2 = StreamSpec(id_stream=None, streamels=streamels2)
spec = BootSpec(obs, cmd2)
return spec
def transform_streamels(self, streamels):
check_streamels_1D(streamels)
n = streamels.size
self.perm = random_permutation(n, self.seed)
if self.inverted:
self.perm = invert_permutation(self.perm)
streamels2 = new_streamels(streamels.shape)
streamels2['kind'] = streamels['kind'][self.perm]
streamels2['lower'] = streamels['lower'][self.perm]
streamels2['upper'] = streamels['upper'][self.perm]
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)
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_1D(streamels)
streamels2 = streamels.reshape((1, streamels.size))
return streamels2
