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authorDaniel Friesel <derf@finalrewind.org>2017-04-13 09:11:20 +0200
committerDaniel Friesel <derf@finalrewind.org>2017-04-13 09:11:20 +0200
commitfe29637bd850b2b0563fccb6978d74dcd6635261 (patch)
tree90780d13dd0adc063a798e886b47409ba93601af
parentd06012ecb45be9e65a265260d37b1c052320f536 (diff)
initial voltage support (a bit)
-rwxr-xr-xbin/merge.py33
1 files changed, 23 insertions, 10 deletions
diff --git a/bin/merge.py b/bin/merge.py
index 6091ba1..b66ceed 100755
--- a/bin/merge.py
+++ b/bin/merge.py
@@ -106,8 +106,8 @@ def mk_function_data(name, paramdata, parameters, dependson, datatype):
Ym.append(np.median(val[datatype]))
for i in range(len(parameters)):
if dependson[i] or is_numeric(key[1][i]):
- X[i].extend([int(key[1][i])] * len(val[datatype]))
- Xm[i].append(int(key[1][i]))
+ X[i].extend([float(key[1][i])] * len(val[datatype]))
+ Xm[i].append(float(key[1][i]))
else:
X[i].extend([0] * len(val[datatype]))
Xm[i].append(0)
@@ -169,16 +169,16 @@ def try_fits(name, datatype, paramidx, paramdata):
num_valid += 1
Y.extend(val[datatype])
Ym.append(np.median(val[datatype]))
- X.extend([int(key[1][paramidx])] * len(val[datatype]))
- Xm.append(int(key[1][paramidx]))
- if int(key[1][paramidx]) == 0:
+ X.extend([float(key[1][paramidx])] * len(val[datatype]))
+ Xm.append(float(key[1][paramidx]))
+ if float(key[1][paramidx]) == 0:
functions.pop('fractional', None)
- if int(key[1][paramidx]) <= 0:
+ if float(key[1][paramidx]) <= 0:
functions.pop('logarithmic', None)
- if int(key[1][paramidx]) < 0:
+ if float(key[1][paramidx]) < 0:
functions.pop('logarithmic1', None)
functions.pop('sqrt', None)
- if int(key[1][paramidx]) > 64:
+ if float(key[1][paramidx]) > 64:
functions.pop('exponential', None)
# there should be -at least- two values when fitting
@@ -429,6 +429,9 @@ def load_run_elem(index, element, trace, by_name, by_arg, by_param, by_trace):
if element['isa'] == 'state':
online_means, online_durations = online_data(element)
+ if 'voltage' in opts:
+ element['parameter']['voltage'] = opts['voltage']
+
arg_key = mk_arg_key(element)
param_key = mk_param_key(element)
pre_trace = tuple(map(lambda x : x['name'], trace[1:index:2]))
@@ -992,7 +995,7 @@ def analyze(by_name, by_arg, by_param, by_trace, parameters):
aggval['rel_energy_next'] = keydata(name, val, by_arg, by_param, by_trace, 'rel_energies_next')
aggval['timeout'] = keydata(name, val, by_arg, by_param, by_trace, 'timeouts')
- for i, param in enumerate(sorted(data['model']['parameter'].keys())):
+ for i, param in enumerate(parameters):
values = list(set([key[1][i] for key in by_param.keys() if key[0] == name and key[1][i] != '']))
allvalues = [(*key[1][:i], *key[1][i+1:]) for key in by_param.keys() if key[0] == name]
#allvalues = list(set(allvalues))
@@ -1055,7 +1058,7 @@ def analyze(by_name, by_arg, by_param, by_trace, parameters):
try:
raw_opts, args = getopt.getopt(sys.argv[1:], "", [
"fit", "states", "transitions", "params", "clipping", "timing",
- "histogram", "substates", "validate", "crossvalidate", "ignore-trace-idx="])
+ "histogram", "substates", "validate", "crossvalidate", "ignore-trace-idx=", "voltage"])
for option, parameter in raw_opts:
optname = re.sub(r'^--', '', option)
opts[optname] = parameter
@@ -1070,10 +1073,20 @@ by_name = {}
by_arg = {}
by_param = {}
by_trace = {}
+
+if 'voltage' in opts:
+ data['model']['parameter']['voltage'] = {
+ 'default' : float(data['setup']['mimosa_voltage']),
+ 'function' : None,
+ 'arg_name' : None,
+ }
+
parameters = sorted(data['model']['parameter'].keys())
for arg in args:
mdata = load_json(arg)
+ if 'voltage' in opts:
+ opts['voltage'] = float(mdata['setup']['mimosa_voltage'])
for runidx, run in enumerate(mdata['traces']):
if 'ignore-trace-idx' not in opts or opts['ignore-trace-idx'] != runidx:
for i, elem in enumerate(run['trace']):