def test_pp_pprint(self):
pp.pprint("stuff")
self.assertStdout("'stuff'")
candidates = []
for i in range(num_cands):
candidates.append([100+i,20+i])
parameters = sim_vars.keys()
print('Using %s & %s'%(parameters, candidates))
cont.num_parallel_evaluations = num_cands
traces = cont.run(candidates,parameters)
else:
t, v = cont.run_individual(sim_vars, show=(not nogui))
from pyelectro import analysis
analysis_var={'peak_delta':0,'baseline':0,'dvdt_threshold':0, 'peak_threshold':0}
data_analysis=analysis.NetworkAnalysis(v,
t,
analysis_var,
start_analysis=0,
end_analysis=sim_time)
analysed = data_analysis.analyse()
pp.pprint(analysed)
import pp
pp(["hello", "world"])
pp.pprint("stuff")
print pp.pformat("asdf")
print pp.fmt("stuff")
print dir(pp)
print repr(pp)
def test_pp_pprint(self):
pp.pprint("stuff")
self.assertStdout("'stuff'")
parameters = sim_vars.keys()
print('Using %s & %s' % (parameters, candidates))
cont.num_parallel_evaluations = num_cands
traces = cont.run(candidates, parameters)
else:
t, v = cont.run_individual(sim_vars, show=(not nogui))
from pyelectro import analysis
analysis_var = {
'peak_delta': 0,
'baseline': 0,
'dvdt_threshold': 0,
'peak_threshold': 0
}
data_analysis = analysis.NetworkAnalysis(v,
t,
analysis_var,
start_analysis=0,
end_analysis=sim_time)
analysed = data_analysis.analyse()
pp.pprint(analysed)
