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PMPParser
Zeshawn Shaheen edited this page Nov 26, 2016
·
4 revisions
Get the nightly from October 18, 2016
conda install pcmdi_metrics=2016.10.18 -c pcmdi/label/nightly -c uvcdat
PMPParser is basically a wrapper around ArgumentParser. It has the ability for users to use the default arguments which are listed below or define their own, which can overwrite the default arguments if needed. PMPParser also supports reading in a parameter file from the command line and then allowing for the user to modify select parameter values as needed.
Value | Argument |
---|---|
parameter |
-p or --parameter
|
case_id | --case_id |
vars |
-v or --vars
|
regions | --regions |
regions_values | --regions_values |
reference_data_set |
-r or --reference_data_set
|
reference_data_path | --reference_data_path |
test_data_set |
-t or --test_data_set
|
test_data_path | --test_data_path |
target_grid | --target_grid |
regrid_tool | --regrid_tool |
regrid_method | --regrid_method |
regrid_tool_ocn | --regrid_tool_ocn |
regrid_method_ocn | --regrid_method_ocn |
period | --period |
realization | --realization |
simulation_description_mapping | --simulation_description_mapping |
model_tweaks | --model_tweaks |
ext | --ext |
dry_run | --dry_run |
filename_template | --filename_template |
sftlf_filename_template | --sftlf_filename_template |
custom_observations | --custom_observations |
metrics_output_path | --metrics_output_path |
filename_output_template | --filename_output_template |
save_test_clims | --save_test_clims |
test_clims_interpolated_output | --test_clims_interpolated_output |
compute_custom_metrics | --compute_custom_metrics |
#!/usr/bin/env python
from pcmdi_metrics.pcmdi.pmp_parser import *
# soon the import statement will be:
# from pcmdi_metrics.driver.pmp_parser import *
parser = PMPParser() # Includes all default options
parser.add_argument(
'-n', '--newarg',
type=ast.literal_eval, #loading in a dictionary
dest='newarg',
help='description',
required=False)
parameter = parser.get_parameter()
# All parameters can be referenced like so:
# parameter.vars
# parameter.regions
# ...
driver -v var1 var2 var3
results in parameter.var
being ['var1', 'var2', 'var3']
driver --regions '{"tas": [None, "terre", "ocean"], "tos": [None, ]}'
results in parameter.regions
being {'tos': [None], 'tas': [None, 'terre', 'ocean']}