def serialize_to_dict(self):
serDict = Serializable.serialize_to_dict(self)
serDict[SerializedKeys.FADE_TIME] = self.__fadeTime
serDict[SerializedKeys.SCENE_TIME] = self.__sceneTime
serDict[SerializedKeys.EFFECT_LIST] = []
for effect in self.getEffects():
serDict[SerializedKeys.EFFECT_LIST].append(effect.serialize_to_dict())
return serDict
def serialize_to_dict(self):
serializedDict = Serializable.serialize_to_dict(self)
serializedFramesList = []
for frame in self._frames:
frameDict = frame.serialize_to_dict()
serializedFramesList.append(frameDict)
serializedDict[SerializedKeys.FRAME_LIST] = serializedFramesList
return serializedDict
def __call__(self, exp_name, subject, contrast, contrast_data):
contrast_data.vmax = 3
contrast_data.vmin = -3
contrast_data.data[subject.voxels_predicted == 0] = np.nan
res_dict = {'contrast': contrast_data}
if contrast.do_perm:
res_dict['pmap'] = contrast_data.threshold_05
res_dict['pmap'].data[subject.voxels_predicted == 0] = np.nan
res_dict['pmap'].cmap = 'Blues'
res_dict['pmap'].vmin = 0
res_dict['pmap'].vmax = 1.25
result = make_static_light(res_dict)
return Serializable({clsname(self): json.dumps(result)})
def __call__(self,
exp_name,
subjects,
contrast,
contrast_results,
mean_volume,
mean_perm_volume,
**kwargs):
if not contrast.do_perm:
mean_volume.vmin = -1
mean_volume.vmax = 2
mean_volume.data[mean_volume.data == 0] = np.nan
res_dict = {'contrast': mean_volume}
else:
mean_volume.vmin = -2
mean_volume.vmax = 2
mean_volume.data[mean_volume.data == 0] = np.nan
res_dict = {'contrast': mean_volume, 'pmap': mean_perm_volume}
result = make_static_light(res_dict)
return Serializable({clsname(self): json.dumps(result)})
def serialize_to_dict(self):
serializedDict = Serializable.serialize_to_dict(self)
serializedDict = dict(serializedDict.items() + self.__frameHandler.serialize_to_dict().items())
return serializedDict
