def mkdir(directory, replace=False):
"""
Creates directory if not existing, erases and recreates it if replace is
set to be True.
Parameters
----------
directory : string
Name of directory.
"""
if pathexists(directory) and replace: rmr(directory)
makedirs(directory, exist_ok=True)
def mkdir(directory, replace=False):
"""
Creates directory if not existing, erases and recreates it if replace is
set to True.
Parameters
----------
directory : string
Name of directory.
replace : bool
Erase and recreate directory. (default: False)
Returns
-------
directory : string
Name of directory.
"""
if pathexists(directory) and replace: rmr(directory)
makedirs(directory, exist_ok=True)
return directory
] for i in range(gNum)])
activeWorkOri = np.array(
[[tmp_out[i][j].activeWorkOri[skipDump:].mean() for j in range(nRuns)]
for i in range(gNum)])
orderParameter = np.array([[
tmp_out[i][j].orderParameter[skipDump:].mean() for j in range(nRuns)
] for i in range(gNum)])
torqueIntegral1 = np.array([[
tmp_out[i][j].torqueIntegral1[skipDump:].mean() for j in range(nRuns)
] for i in range(gNum)])
torqueIntegral2 = np.array([[
tmp_out[i][j].torqueIntegral2[skipDump:].mean() for j in range(nRuns)
] for i in range(gNum)])
# OUT
with open(out_file, 'wb') as output:
pickle.dump([
exec_path, initSim, Niter, dt, nRuns, gValues, seed, seeds, N, lp,
phi, activeWork, activeWorkForce, activeWorkOri, orderParameter,
torqueIntegral1, torqueIntegral2
], output)
# CLEAN
if get_env('CLEAN', default=True, vartype=bool):
move(out_file,
path.join(out_dir, sim_name +
'.datG')) # move output file to output directory
rmr(sim_dir, ignore_errors=True) # delete simulation directory