def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
if not p.num_orientation % 2:
raise Exception("Use odd number of surround orientation to ensure"
"the orthogonal to the preferred orientation is"
"covered.")
results = {}
for coord in p.coords:
self.or_surrounds = []
orientation = p.preference_lookup_fn('orientation', p.outputs[0],
coord,
default=p.orientation_center)
p.orientationcenter = orientation
orientation_step = np.pi / (p.num_orientation - 1)
for i in xrange(0, p.num_orientation - 1):
self.or_surrounds.append(
orientation - np.pi / 2 + i * orientation_step)
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
results[coord] = self._compute_curves(p)
results = self._populate_grid(results)
self._restore_presenter_defaults()
return results
def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
results = {}
for coord in p.coords:
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
results[coord] = self._compute_curves(p)
self._restore_presenter_defaults()
return results
def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
results = {}
for coord in p.coords:
# Orientations are stored as a normalized value beween 0
# and 1, so we scale them by pi to get the true orientations.
p.orientation = p.preference_lookup_fn('orientation', p.outputs[0],
coord)
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
results[coord] = self._compute_curves(p)
self._restore_presenter_defaults()
return results
def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
results = {}
for coord in p.coords:
orientation = p.preference_lookup_fn('orientation', p.outputs[0],
coord)
self.curve_parameters = [{"orientation": orientation + ro}
for ro in p.relative_orientations]
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
results[coord] = self._compute_curves(p, val_format="%.4f")
self._restore_presenter_defaults()
return results
def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
results = {}
for coord in p.coords:
orientation = p.preference_lookup_fn('orientation', p.outputs[0],
coord, default=p.orientation_center)
p.orientationcenter = orientation
p.phase = p.preference_lookup_fn('phase', p.outputs[0],
coord, default=p.orientation_center)
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
self.or_surrounds = list(np.linspace(-np.pi/2, np.pi/2, p.num_orientation))
results[coord] = self._compute_curves(p)
results = self._populate_grid(results)
self._restore_presenter_defaults()
return results
def __call__(self, **params):
p = ParamOverrides(self, params, allow_extra_keywords=True)
self._set_presenter_overrides(p)
results = {}
for coord in p.coords:
self.or_surrounds = []
orientation = p.preference_lookup_fn('orientation', p.outputs[0],
coord,
default=p.orientation_center)
p.orientationcenter = orientation
orientation_step = np.pi / (p.num_orientation - 1)
for i in xrange(0, p.num_orientation - 1):
self.or_surrounds.append(
orientation - np.pi / 2 + i * orientation_step)
p.x = p.preference_lookup_fn('x', p.outputs[0], coord,
default=coord[0])
p.y = p.preference_lookup_fn('y', p.outputs[0], coord,
default=coord[1])
results[coord] = self._compute_curves(p)
self._restore_presenter_defaults()
return results