def _grouped_in_projections(self, ptype):
"""
Return a dictionary of lists of incoming Projections, grouped by type.
Each projection of type <ptype> is grouped according to the
name of the port, into a single list within the dictionary.
The entry None will contain those that are not of type
<ptype>, while the other entries will contain a list of
Projections, each of which has type ptype.
Example: to obtain the lists of projections that should be
jointly normalised together, call
__grouped_in_projection('JointNormalize').
"""
in_proj = OrderedDict()
in_proj[None] = [] # Independent (ungrouped) connections
for c in self.in_connections:
d = c.dest_port
if not isinstance(c, Projection):
self.debug("Skipping non-Projection " + c.name)
elif isinstance(d, tuple) and len(d) > 2 and d[1] == ptype:
if in_proj.get(d[2]):
in_proj[d[2]].append(c)
else:
in_proj[d[2]] = [c]
#elif isinstance(d,tuple):
# raise ValueError("Unable to determine appropriate action for dest_port: %s (connection %s)." % (d,c.name))
else:
in_proj[None].append(c)
return in_proj
def _grouped_in_projections(self, ptype):
"""
Return a dictionary of lists of incoming Projections, grouped by type.
Each projection of type <ptype> is grouped according to the
name of the port, into a single list within the dictionary.
The entry None will contain those that are not of type
<ptype>, while the other entries will contain a list of
Projections, each of which has type ptype.
Example: to obtain the lists of projections that should be
jointly normalised together, call
__grouped_in_projection('JointNormalize').
"""
in_proj = OrderedDict()
in_proj[None] = [] # Independent (ungrouped) connections
for c in self.in_connections:
d = c.dest_port
if not isinstance(c, Projection):
self.debug("Skipping non-Projection " + c.name)
elif isinstance(d, tuple) and len(d) > 2 and d[1] == ptype:
if in_proj.get(d[2]):
in_proj[d[2]].append(c)
else:
in_proj[d[2]] = [c]
# elif isinstance(d,tuple):
# raise ValueError("Unable to determine appropriate action for dest_port: %s (connection %s)." % (d,c.name))
else:
in_proj[None].append(c)
return in_proj
def refresh_plots_menu(self):
plots_menu = self['Plots']
plots_menu.delete(0, 'end')
# create menu entries, and get list of categories
entries = OrderedDict(
) # keep the order of plotgroup_templates (which is also KL)
categories = []
for label, plotgroup in plotgroups.items():
entries[label] = PlotsMenuEntry(plotgroup)
categories.append(plotgroup.category)
categories = sorted(set(categories))
# The Basic category items appear on the menu itself.
assert 'Basic' in categories, "'Basic' is the category for the standard Plots menu entries."
for label, entry in entries.items():
if entry.plotgroup.category == 'Basic':
plots_menu.add_command(label=label, command=entry.__call__)
categories.remove('Basic')
plots_menu.add_separator()
# Add the other categories to the menu as cascades, and the plots of each category to
# their cascades.
for category in categories:
category_menu = ControllableMenu(plots_menu, tearoff=0)
plots_menu.add_cascade(label=category, menu=category_menu)
# could probably search more efficiently than this
for label, entry in entries.items():
if entry.plotgroup.category == category:
category_menu.add_command(label=label,
command=entry.__call__)
plots_menu.add_separator()
plots_menu.add_command(
label="Help",
command=(lambda x=plotting_help_locations: self.open_location(x)))
def refresh_plots_menu(self):
plots_menu = self['Plots']
plots_menu.delete(0,'end')
# create menu entries, and get list of categories
entries=OrderedDict() # keep the order of plotgroup_templates (which is also KL)
categories = []
for label,plotgroup in plotgroups.items():
entries[label] = PlotsMenuEntry(plotgroup)
categories.append(plotgroup.category)
categories = sorted(set(categories))
# The Basic category items appear on the menu itself.
assert 'Basic' in categories, "'Basic' is the category for the standard Plots menu entries."
for label,entry in entries.items():
if entry.plotgroup.category=='Basic':
plots_menu.add_command(label=label,command=entry.__call__)
categories.remove('Basic')
plots_menu.add_separator()
# Add the other categories to the menu as cascades, and the plots of each category to
# their cascades.
for category in categories:
category_menu = ControllableMenu(plots_menu,tearoff=0)
plots_menu.add_cascade(label=category,menu=category_menu)
# could probably search more efficiently than this
for label,entry in entries.items():
if entry.plotgroup.category==category:
category_menu.add_command(label=label,command=entry.__call__)
plots_menu.add_separator()
plots_menu.add_command(label="Help",command=(lambda x=plotting_help_locations: self.open_location(x)))
index = p.targets.index("allsnapshottests")
p.targets[index] = "snapshots"
p.targets.insert(index,"pickle")
# ->params ?
tests_dir = param.resolve_path("topo/tests",path_to_file=False)
scripts_dir = param.resolve_path(".",path_to_file=False) ### XXX
topographica_script = xvfb + " " + timing_cmd + " " + sys.argv[0] + " " + " "
def _runc(cmd):
print cmd
return os.system(cmd)
from dataviews.odict import OrderedDict
target = OrderedDict()
speedtarget = OrderedDict()
# CEBALERT: need to pick which scripts to include for training and
# speedtests and startupspeedtests (see test_script.py).
#
# From the Makefile:
# SCRIPTS= ^hierarchical.ty ^lissom_or.ty ^lissom_oo_or.ty ^som_retinotopy.ty ^sullivan_neurocomputing04.ty ^lissom.ty ^lissom_fsa.ty ^gcal.ty ^lissom_whisker_barrels.ty
# CEB: tests on these scripts temporarily suspended (SF.net #2053538)
# ^lissom_oo_or_homeostatic.ty ^lissom_oo_or_homeostatic_tracked.ty
# ^lissom_or_noshrinking.ty - only matches to 4 dp with IMPORT_WEAVE=0
# Now I'm using this list for train-tests:
# CEBALERT: this list should be defined in one place.
#from setup import TRAINSCRIPTS
p.targets[index] = "snapshots"
p.targets.insert(index, "pickle")
# ->params ?
tests_dir = param.resolve_path("topo/tests", path_to_file=False)
scripts_dir = param.resolve_path(".", path_to_file=False) ### XXX
topographica_script = xvfb + " " + timing_cmd + " " + sys.argv[0] + " " + " "
def _runc(cmd):
print cmd
return os.system(cmd)
from dataviews.odict import OrderedDict
target = OrderedDict()
speedtarget = OrderedDict()
# CEBALERT: need to pick which scripts to include for training and
# speedtests and startupspeedtests (see test_script.py).
#
# From the Makefile:
# SCRIPTS= ^hierarchical.ty ^lissom_or.ty ^lissom_oo_or.ty ^som_retinotopy.ty ^sullivan_neurocomputing04.ty ^lissom.ty ^lissom_fsa.ty ^gcal.ty ^lissom_whisker_barrels.ty
# CEB: tests on these scripts temporarily suspended (SF.net #2053538)
# ^lissom_oo_or_homeostatic.ty ^lissom_oo_or_homeostatic_tracked.ty
# ^lissom_or_noshrinking.ty - only matches to 4 dp with IMPORT_WEAVE=0
# Now I'm using this list for train-tests:
# CEBALERT: this list should be defined in one place.
#from setup import TRAINSCRIPTS
TRAINSCRIPTS = [
