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np.zeros((nt,nz,nvar)
np.zeros(nvar)
range(0,nvar)
sweep(sweep_var_i)
write_file(paramlist)
open('paramlist_sweep.in')
read()
json.loads(file_case)
print('========================')
print('running '+case_name+' var = '+ str(sweep_var_i)
print('========================')
subprocess.call("python main.py " + case_name + "_sweep.in paramlist_sweep.in", shell=True)
nc.Dataset(path, 'r')
np.multiply(data.groups['timeseries'].variables['lwp'], 1.0)
np.multiply(data.groups['timeseries'].variables['cloud_cover'],1.0)
np.multiply(data.groups['timeseries'].variables['cloud_top'],1.0)
np.multiply(data.groups['timeseries'].variables['cloud_base'],1.0)
np.multiply(data.groups['profiles'].variables['updraft_area'],1.0)
np.multiply(data.groups['profiles'].variables['ql_mean'],1.0)
np.multiply(data.groups['profiles'].variables['updraft_w'],1.0)
np.multiply(data.groups['profiles'].variables['thetal_mean'],1.0)
np.multiply(data.groups['profiles'].variables['massflux'], 1.0)
np.multiply(data.groups['profiles'].variables['buoyancy_mean'],1.0)
np.multiply(data.groups['profiles'].variables['env_tke'],1.0)
np.multiply(data.groups['profiles'].variables['updraft_thetal_precip'], 1.0)
np.shape(lwp_)
os.remove(path)
os.remove(path1)
nc.Dataset(destination + '/Stats.sweep_' + case_name + '.nc', 'w', format='NETCDF4')
out_stats.createGroup('profiles')
grp_stats.createDimension('z', nz)
grp_stats.createDimension('t', nt)
grp_stats.createDimension('var', II)
grp_stats.createVariable('t', 'f4', 't')
grp_stats.createVariable('z', 'f4', 'z')
grp_stats.createVariable('var', 'f4', 'var')
grp_stats.createVariable('lwp', 'f4', ('t', 'var')
grp_stats.createVariable('cloud_cover', 'f4', ('t', 'var')
grp_stats.createVariable('cloud_top', 'f4', ('t', 'var')
grp_stats.createVariable('cloud_base', 'f4', ('t', 'var')
grp_stats.createVariable('updraft_area', 'f4', ('t', 'z','var')
grp_stats.createVariable('ql_mean', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('updraft_w', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('thetal_mean', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('massflux', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('buoyancy_mean', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('env_tke', 'f4', ('t', 'z', 'var')
grp_stats.createVariable('updraft_thetal_precip', 'f4', ('t', 'z', 'var')
np.shape(var)
np.shape(_sweep_var)
np.shape(_t)
np.shape(t)
np.shape(lwp)
np.shape(_lwp)
out_stats.close()
print('========================')
print('======= SWEEP END ======')
print('========================')
sweep(sweep_var_i)
write_file(paramlist)
open('paramlist_'+paramlist['meta']['casename']+ '.in', 'w')
json.dump(paramlist, fh, sort_keys=True, indent=4)
fh.close()
main()
Copyright (c)
KeyClient(KeyVaultClientBase)
create_key(self, name, key_type, **kwargs)
kwargs.pop("enabled", None)
kwargs.pop("not_before", None)
kwargs.pop("expires_on", None)
self._models.KeyAttributes(enabled=enabled, not_before=not_before, expires=expires_on)
kwargs.pop("size", None)
kwargs.pop("key_operations", None)
kwargs.pop("tags", None)
kwargs.pop("curve", None)
kwargs.pop("public_exponent", None)
KeyVaultKey._from_key_bundle(bundle)
create_rsa_key(self, name, **kwargs)
kwargs.pop("hardware_protected", False)
self.create_key(name, key_type="RSA-HSM" if hsm else "RSA", **kwargs)
create_ec_key(self, name, **kwargs)
kwargs.pop("hardware_protected", False)
self.create_key(name, key_type="EC-HSM" if hsm else "EC", **kwargs)
create_oct_key(self, name, **kwargs)
sequence (symmetric)
sequence (symmetric)
kwargs.pop("hardware_protected", False)
self.create_key(name, key_type="oct-HSM" if hsm else "oct", **kwargs)
begin_delete_key(self, name, **kwargs)
kwargs.pop("_polling_interval", None)
self._client.delete_key(self.vault_url, name, error_map=_error_map, **kwargs)
partial(self.get_deleted_key, name=name, **kwargs)
KeyVaultOperationPoller(polling_method)
get_key(self, name, version=None, **kwargs)
self._client.get_key(self.vault_url, name, key_version=version or "", error_map=_error_map, **kwargs)
KeyVaultKey._from_key_bundle(bundle)
get_deleted_key(self, name, **kwargs)
self._client.get_deleted_key(self.vault_url, name, error_map=_error_map, **kwargs)
DeletedKey._from_deleted_key_bundle(bundle)
list_deleted_keys(self, **kwargs)