def _generate_parameters(parameters):
"""Create a list of parameters that need to be added to the hoc template"""
param_locations = defaultdict(list)
global_params = {}
for param in parameters:
if isinstance(param, NrnGlobalParameter):
global_params[param.name] = param.value
elif isinstance(param, MetaParameter):
pass
else:
assert isinstance(
param.locations, (tuple, list)), 'Must have locations list'
for location in param.locations:
param_locations[location.seclist_name].append(param)
section_params = defaultdict(list)
range_params = []
location_order = DEFAULT_LOCATION_ORDER
for loc in param_locations:
if loc not in location_order:
location_order.append(loc)
for loc in location_order:
if loc not in param_locations:
continue
for param in param_locations[loc]:
if isinstance(param, NrnRangeParameter):
if isinstance(
param.value_scaler,
NrnSegmentSomaDistanceScaler):
value = param.value_scaler.inst_distribution
value = re.sub(r'math\.', '', value)
value = re.sub('{distance}', FLOAT_FORMAT, value)
value = re.sub('{value}', format_float(param.value), value)
range_params.append(Range(loc, param.param_name, value))
elif isinstance(param.value_scaler, NrnSegmentLinearScaler):
value = param.value_scale_func(param.value)
section_params[loc].append(
Location(param.param_name, format_float(value)))
elif isinstance(param, NrnSectionParameter):
value = param.value_scale_func(param.value)
section_params[loc].append(
Location(param.param_name, format_float(value)))
ordered_section_params = [(loc, section_params[loc])
for loc in location_order]
return global_params, ordered_section_params, range_params, location_order
def _generate_parameters(parameters):
"""Create a list of parameters that need to be added to the hoc template."""
param_locations = defaultdict(list)
global_params = {}
for param in parameters:
if isinstance(param, NrnGlobalParameter):
global_params[param.name] = param.value
elif isinstance(param, MetaParameter):
pass
else:
assert isinstance(
param.locations, (tuple, list)), 'Must have locations list'
for location in param.locations:
param_locations[location.seclist_name].append(param)
section_params = defaultdict(list)
range_params = []
for loc in LOCATION_ORDER:
if loc not in param_locations:
continue
for param in param_locations[loc]:
if isinstance(param, NrnRangeParameter):
if isinstance(
param.value_scaler,
NrnSegmentSomaDistanceScaler):
value = param.value_scaler.inst_distribution
value = re.sub(r'math\.', '', value)
value = re.sub('{distance}', FLOAT_FORMAT, value)
value = re.sub('{value}', format_float(param.value), value)
range_params.append(Range(loc, param.param_name, value))
elif isinstance(param.value_scaler, NrnSegmentLinearScaler):
value = param.value_scale_func(param.value)
section_params[loc].append(
Location(param.param_name, format_float(value)))
elif isinstance(param, NrnSectionParameter):
value = param.value_scale_func(param.value)
section_params[loc].append(
Location(param.param_name, format_float(value)))
ordered_section_params = [(loc, section_params[loc])
for loc in LOCATION_ORDER]
return global_params, ordered_section_params, range_params