def setUp(self, sceneAttr = AttributeMap(), neuronAttr = AttributeMap(),
make_ready=True):
setup.setup_simple(self, 406, sceneAttr, neuronAttr)
circuit = self.scene.circuit
self._morphology = \
circuit.load_morphologies([406], circuit.Coordinates.local)[0]
self._handler = self.scene.objects[0]
view = self.view
# Disabling idle AA to speed up testing.
view.attributes.idle_AA_steps = 0
view.camera.setView(
[272.80291748046875, 764.23828125, 393.82244873046875],
([-0.08497956395149231, 0.9948055148124695, 0.05603933706879616],
38.1639518737793))
view.attributes.background = [0, 0, 0, 1]
view.attributes.auto_compute_home_position = False
if make_ready:
# Displaying the first frame to ensure that clipping operations
# have the intended effect
for i in range(2):
self.engine.frame()
self.engine.waitFrame()
def setUp(self) :
attributes = AttributeMap()
attributes.primary_color = [1, 1, 1, 1]
attributes.secondary_color = [0, 0, 1, 1]
setup.setup_simple(self, 450, target_attributes=attributes,
eq_config=setup.medium_eq_config)
view = self.view
view.attributes.auto_compute_home_position = False
view.attributes.background = [0, 0, 0, 1]
view.camera.setView([-1124, 1162, -57],
([-0.070, -0.997, -0.0362], 98))
def setUp(self):
attributes = AttributeMap()
attributes.mode = RepresentationMode.SOMA
attributes.color = [1, 1, 1, 1]
setup.setup_simple(self, 'L5CSPC', target_attributes=attributes)
self._gids = self.simulation.gids('L5CSPC')
view = self.view
view.attributes.idle_AA_steps = 32
view.attributes.background = [0, 0, 0, 1]
view.attributes.auto_compute_home_position = False
view.camera.setView([49, 630, 509], ([0.0, 0.0, 1.0], 0.0))
def setUp(self):
# This scene is not created the same as the one for soma above.
attributes = AttributeMap({'mode': RepresentationMode.SOMA})
setup.setup_simple(self, 406, target_attributes=attributes)
view = self.view
view.camera.setView(
[87.08049011230469, 676.59033203125, 148.541748046875],
([-0.16840891540050507, 0.9842529892921448, 0.053707364946603775
], 40.37215805053711))
view.attributes.idle_AA_steps = 32
view.attributes.background = [0, 0, 0, 1]
view.attributes.auto_compute_home_position = False
view.attributes.highlight_color = [0.7, 0.85, 1.0, 1.0]
def setUp(self):
scene_attributes = AttributeMap()
scene_attributes.use_meshes = False
scene_attributes.inflatable_neurons = True
self.gid = 200
setup.setup_simple(
self, self.gid, scene_attributes=scene_attributes,
blue_config=brain.test.circuit_config,
eq_config=setup.small_rect_eq_config)
view = self.view
view.attributes.inflation_factor = 2
view.attributes.auto_compute_home_position = False
def setUp(self):
attributes = rtneuron.AttributeMap(
{'mode': rtneuron.RepresentationMode.WHOLE_NEURON})
setup.setup_simple(self, 'L5CSPC', target_attributes = attributes)
self.view = self.engine.views[0]
self.view.auto_compute_home_position = False
self.view.scene = self.scene
# To make sure the scene is ready before the timestamps are modified
self.engine.frame()
self.engine.frame()
position = [30, 600, 300]
orientation = ([0, 0, 1], 0)
self.view.camera.setView(position,orientation)
def setUp(self):
attributes = AttributeMap({'mode' : RepresentationMode.SOMA})
self._cells = [310, 320, 330, 340, 350]
scene_attributes = AttributeMap({"load_morphologies": False})
setup.setup_simple(self, self._cells,
target_attributes=attributes,
scene_attributes=scene_attributes,
# Rectangular selections in orthographics
# projections don't work if a configuration file
# is used.
eq_config=None,
blue_config=brain.test.circuit_config,
engine_attributes=_rtneuron.global_attributes)
_rtneuron.engine = self.engine
_rtneuron.simulation = self.simulation
def setUp(self) :
target = 'L5CSPC'
attributes = AttributeMap({'mode' : rtneuron.RepresentationMode.SOMA})
setup.setup_simple(self, target, target_attributes=attributes)
view = self.view
view.attributes.idle_AA_steps = 32
view.attributes.auto_compute_home_position = False
view.attributes.background = [0, 0, 0, 1]
self._spikefile = self._create_spikes_file(target)
rtneuron.apply_spike_data(self._spikefile.name, view)
self.engine.player.window = [0, 6]
# To make sure the scene is ready before the timestamps are modified
self.engine.frame()
self.engine.frame()
def setUp(self):
setup.setup_simple(
self, 200, blue_config=brain.test.circuit_config,
eq_config=setup.small_rect_eq_config)
view = self.view
view.camera.setView([204, 1500, 170], ([0, 1, 0], 45))
view.attributes.auto_compute_home_position = False
x = -75 + 34; y = 1450; z = -75 + 32;
X = x + 150; Y = y + 100; Z = z + 150;
self.view.scene.addGeometry(
[[x, y, z], [X, y, z], [X, Y, z], [x, Y, z],
[x, y, Z], [X, y, Z], [X, Y, Z], [x, Y, Z]],
[[0, 1], [1, 2], [2, 3], [3, 0], [4, 5], [5, 6], [6, 7], [7, 4],
[0, 4], [1, 5], [2, 6], [3, 7]], colors=[1, 1, 1, 1])
def setUp(self,
target_attributes=AttributeMap(),
scene_attributes=AttributeMap(),
target='L5CSPC'):
setup.setup_simple(self,
target,
target_attributes=target_attributes,
scene_attributes=scene_attributes)
view = self.view
view.attributes.idle_AA_steps = 32
view.attributes.background = [0, 0, 0, 1]
view.auto_compute_home_position = False
view.scene = self.scene
# To make sure the scene is ready before the timestamps are modified
self.engine.frame()
self.engine.frame()
def create_config(self, config):
attributes = AttributeMap()
attributes.partitioning = DataBasePartitioning.SPATIAL
setup.setup_simple(self, [394, 395, 396, 407, 410, 412],
scene_attributes=attributes,
eq_config=config)
self.engine.resume()
self.view.attributes.idle_AA_steps = 32
# It's important to use a background different from black
self.view.attributes.background = [0.1, 0.2, 0.3, 1]
self.cameras = {
'view1': ([-11, 797, 209], ([-0.92166, -0.35207, -0.163039], 60)),
'view2': ([0, 386, 230], ([0.93759, -0.30783, 0.16175], 55))
}
def setUp(self):
scene_attributes = AttributeMap()
scene_attributes.use_meshes = False
scene_attributes.inflatable_neurons = True
setup.setup_simple(
self, 'MiniColumn_0', scene_attributes=scene_attributes,
blue_config=brain.test.circuit_config,
eq_config=setup.small_rect_eq_config)
self.engine.frame()
self.engine.waitFrame()
self.engine.frame()
self.engine.waitFrame()
view = self.view
view.attributes.inflation_factor = 1
view.attributes.auto_compute_home_position = False
view.attributes.background = [1, 1, 1, 1]
self.projections = SynapticProjections(view.scene)
def setUp(self):
setup.setup_simple(self, 'MiniColumn_0')
self._gids = self.simulation.gids('MiniColumn_0')
