def test_areamean(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.areamean(ens)
data = ctt.sha(ens)
return data
def test_climatology(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.climatology(ens)
data = ctt.sha(ens)
return data
def test_remap(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.remap(ens, remap="r1x180")
data = ctt.sha(ens)
return data
def test_time_slice(directory, sourcefiles, sd, ed):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.time_slice(ens, start_date=sd, end_date=ed)
data = ctt.sha(ens)
return data
def test_cat_experiments(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
data = ctt.sha(ens)
return data
def test_remap(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.remap(ens, remap='r1x180')
data = ctt.sha(ens)
return data
def test_time_slice(directory, sourcefiles, sd, ed):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.time_slice(ens, start_date=sd, end_date=ed)
data = ctt.sha(ens)
return data
def test_cat_experiments(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
data = ctt.sha(ens)
return data
def test_zonal_mean(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.zonmean(ens, delete=True)
data = ctt.sha(ens)
return data
def test_cat_exp_slices(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.cat_exp_slices(ens)
data = ctt.sha(ens)
return data
def test_climatology(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.climatology(ens)
data = ctt.sha(ens)
return data
def test_areamean(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.areamean(ens)
data = ctt.sha(ens)
return data
def test_cat_exp_slices(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.cat_exp_slices(ens)
data = ctt.sha(ens)
return data
def test_zonal_mean(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.zonmean(ens, delete=True)
data = ctt.sha(ens)
return data
def test_time_anomaly(directory, sourcefiles, sd, ed):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.time_anomaly(ens, start_date=sd, end_date=ed, delete=True)
ens.fulldetails()
data = ctt.sha(ens)
return data
def test_time_anomaly(directory, sourcefiles, sd, ed):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.time_anomaly(ens, start_date=sd, end_date=ed, delete=True)
ens.fulldetails()
data = ctt.sha(ens)
return data
def test_ens_stats(directory, sourcefiles, var):
ctt.loadtestfiles(directory, [sourcefiles[0]])
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
cd.ens_stats(ens, var)
filepattern = "ENS*"
ens = cd.mkensemble(filepattern)
data = ctt.sha(ens)
return data
def test_ens_stats(directory, sourcefiles, var):
ctt.loadtestfiles(directory, [sourcefiles[0]])
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
cd.ens_stats(ens, var)
filepattern = 'ENS*'
ens = cd.mkensemble(filepattern)
data = ctt.sha(ens)
return data
def test_my_operator(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
my_cdo_str = "cdo remapdis,r1x180 -zonmean -seldate,1950-01-01,2000-12-31\
-sub {infile} -timmean -seldate,1950-01-01,2000-12-31 {infile}\
{outfile}"
ens = cd.my_operator(ens, my_cdo_str, output_prefix="test_", delete=True)
data = ctt.sha(ens)
return data
def test_my_operator(directory, sourcefiles, var, e1name, e2name):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
ens = cd.cat_experiments(ens, var, exp1_name=e1name, exp2_name=e2name)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
my_cdo_str = 'cdo remapdis,r1x180 -zonmean -seldate,1950-01-01,2000-12-31\
-sub {infile} -timmean -seldate,1950-01-01,2000-12-31 {infile}\
{outfile}'
ens = cd.my_operator(ens, my_cdo_str, output_prefix='test_', delete=True)
data = ctt.sha(ens)
return data
def test_starting_files(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = '*.nc'
ens = cd.mkensemble(filepattern)
data = ctt.sha(ens)
return data
def test_starting_files(directory, sourcefiles):
ctt.loadtestfiles(directory, sourcefiles)
filepattern = "*.nc"
ens = cd.mkensemble(filepattern)
data = ctt.sha(ens)
return data
