def showMatrix(self):
"""Generate matrix buttom has been pressed"""
print_v("Matrix button was clicked.")
if len(self.network.projections) == 0:
self.dialog_popup(
"No projections present in network, and so no matrix to show"
)
return
self.update_net_sim()
self.tabs.setCurrentWidget(self.matrixTab)
from neuromllite.MatrixHandler import MatrixHandler
level = 2
handler = MatrixHandler(level, nl_network=self.network)
from neuromllite.NetworkGenerator import generate_network
generate_network(self.network, handler, always_include_props=True, base_dir=".")
print_("Done with MatrixHandler...", self.verbose)
def showGraph(self):
"""Generate graph buttom has been pressed"""
print_v("Graph button was clicked.")
self.update_net_sim()
self.tabs.setCurrentWidget(self.all_tabs[self.GRAPH_TAB])
from neuromllite.GraphVizHandler import GraphVizHandler
engine = str(self.graphTypeComboBox.currentText()).split(" - ")[1]
level = int(self.graphLevelComboBox.currentText())
show_ext_inputs = self.graphShowExtInputs.isChecked()
show_input_pops = self.graphShowInputPops.isChecked()
format = "svg"
format = "png"
handler = GraphVizHandler(
level,
engine=engine,
nl_network=self.network,
output_format=format,
view_on_render=False,
include_ext_inputs=show_ext_inputs,
include_input_pops=show_input_pops,
)
from neuromllite.NetworkGenerator import generate_network
generate_network(self.network, handler, always_include_props=True, base_dir=".")
print_("Done with GraphViz...", self.verbose)
if format == "svg":
genFile = "%s.gv.svg" % self.network.id
self.add_image(genFile, self.GRAPH_TAB)
"""
svgWidget = QSvgWidget(genFile)
svgWidget.resize(svgWidget.sizeHint())
svgWidget.show()
self.graphTabLayout.addWidget(svgWidget, 0, 0)"""
elif format == "png":
genFile = "%s.gv.png" % self.network.id
self.add_image(genFile, self.GRAPH_TAB)
)
)
net.synapses.append(
Synapse(
id="ampa", neuroml2_source_file="../../../examples/test_files/ampa.synapse.nml"
)
)
print(net.to_json())
new_file = net.to_json_file("%s.json" % net.id)
################################################################################
### Use a handler which just prints info on positions, etc.
def_handler = DefaultNetworkHandler()
generate_network(net, def_handler)
################################################################################
### Export to some formats, e.g. try:
### python Example2.py -graph2
from neuromllite.NetworkGenerator import check_to_generate_or_run
from neuromllite import Simulation
import sys
check_to_generate_or_run(sys.argv, Simulation(id="Sim%s" % net.id, network=new_file))