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# If this example is not executed from the directory containing the
# CMOR code, please first complete the following steps:
#
# 1. In any directory, create 'Tables/', 'Test/' and 'CMIP6/' directories.
#
# 2. Download
# https://github.com/PCMDI/cmor/blob/master/TestTables/CMIP6_Omon.json
# and https://github.com/PCMDI/cmor/blob/master/TestTables/CMIP6_CV.json
# to the 'Tables/' directory.
#
# 3. Download
# https://github.com/PCMDI/cmor/blob/master/Test/<filename>.json
# to the 'Test/' directory.
import cmor
import numpy
import unittest
import os
import sys
import tempfile
import importlib.util
import netCDF4
import base_CMIP6_CV
# ==============================
# main thread
# ==============================
def run():
unittest.main()
class TestCase(base_CMIP6_CV.BaseCVsTest):
def testCMIP6(self):
cmor.setup(inpath='TestTables', netcdf_file_action=cmor.CMOR_REPLACE, logfile=self.tmpfile)
cmor.dataset_json("Test/common_user_input_hier.json")
cmor.load_table("Tables/CMIP6_Omon.json")
itime = cmor.axis(table_entry="time", units='months since 2010', coord_vals=numpy.array(
[0, 1, 2, 3, 4.]), cell_bounds=numpy.array([0, 1, 2, 3, 4, 5.]))
ivar = cmor.variable(
table_entry="masso",
axis_ids=[itime],
units='kg')
data = numpy.random.random(5)
for i in range(0, 5):
# ,time_vals=numpy.array([i,]),time_bnds=numpy.array([i,i+1]))
cmor.write(ivar, data[i:i])
self.delete_files += [cmor.close(ivar, True)]
cmor.close()
f = netCDF4.Dataset(cmor.get_final_filename() , 'r')
self.assertEqual(f.coder, "Denis Nadeau")
self.assertEqual(f.hierarchical_attr_setting, "information")
self.assertEqual(f.creator, "PCMDI")
self.assertEqual(f.model, "Ocean Model")
self.assertEqual(f.country, "USA")
f.close()
@unittest.skipIf(importlib.util.find_spec("cdms2") is None, "cdms2 not installed")
def testCMIP6_CDMS2(self):
import cdms2
cmor.setup(inpath='TestTables', netcdf_file_action=cmor.CMOR_REPLACE, logfile=self.tmpfile)
cmor.dataset_json("Test/common_user_input_hier.json")
cmor.load_table("Tables/CMIP6_Omon.json")
itime = cmor.axis(table_entry="time", units='months since 2010', coord_vals=numpy.array(
[0, 1, 2, 3, 4.]), cell_bounds=numpy.array([0, 1, 2, 3, 4, 5.]))
ivar = cmor.variable(
table_entry="masso",
axis_ids=[itime],
units='kg')
data = numpy.random.random(5)
for i in range(0, 5):
# ,time_vals=numpy.array([i,]),time_bnds=numpy.array([i,i+1]))
cmor.write(ivar, data[i:i])
self.delete_files += [cmor.close(ivar, True)]
cmor.close()
f = cdms2.open(cmor.get_final_filename() , 'r')
self.assertEqual(f.coder, "Denis Nadeau")
self.assertEqual(f.hierarchical_attr_setting, "information")
self.assertEqual(f.creator, "PCMDI")
self.assertEqual(f.model, "Ocean Model")
self.assertEqual(f.country, "USA")
f.close()
if __name__ == '__main__':
run()
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