def check_cf_compliance(dataset):
try:
from compliance_checker.runner import CheckSuite, ComplianceChecker
import compliance_checker
except ImportError:
warnings.warn('compliance_checker unavailable, skipping NetCDF-CF Compliance Checks')
return
if compliance_checker.__version__ < '4.0.0':
warnings.warn('Please upgrade compliance-checker to 4+ version')
warnings.warn('compliance_checker version is too old, skipping NetCDF-CF Compliance Checks')
return
skip = ['check_dimension_order',
'check_all_features_are_same_type',
'check_conventions_version',
'check_appendix_a']
cs = CheckSuite()
cs.load_all_available_checkers()
score_groups = cs.run(dataset, skip, 'cf')
score_dict = {dataset.filepath(): score_groups}
groups = ComplianceChecker.stdout_output(cs, score_dict, verbose=1, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
assert cs.passtree(groups, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
def check_cf_compliance(dataset):
try:
from compliance_checker.runner import CheckSuite, ComplianceChecker
except ImportError:
warnings.warn('compliance_checker unavailable, skipping NetCDF-CF Compliance Checks')
return
cs = CheckSuite()
cs.load_all_available_checkers()
score_groups = cs.run(dataset, 'cf')
groups = ComplianceChecker.stdout_output(cs, score_groups, verbose=1, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
assert cs.passtree(groups, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
def check_cf_compliance(dataset):
try:
from compliance_checker.runner import CheckSuite, ComplianceChecker
except ImportError:
warnings.warn('compliance_checker unavailable, skipping NetCDF-CF Compliance Checks')
return
cs = CheckSuite()
cs.load_all_available_checkers()
score_groups = cs.run(dataset, 'cf')
groups = ComplianceChecker.stdout_output(cs, score_groups, verbose=1, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
assert cs.passtree(groups, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
def check_cf_compliance(dataset):
try:
from compliance_checker.runner import CheckSuite, ComplianceChecker
import compliance_checker
except ImportError:
warnings.warn('compliance_checker unavailable, skipping NetCDF-CF Compliance Checks')
return
cs = CheckSuite()
cs.load_all_available_checkers()
if compliance_checker.__version__ >= '2.3.0':
# This skips a failing compliance check. Our files don't contain all the lats/lons
# as an auxiliary cordinate var as it's unnecessary for any software we've tried.
# It may be added at some point in the future, and this check should be re-enabled.
score_groups = cs.run(dataset, ['check_dimension_order'], 'cf')
else:
warnings.warn('Please upgrade to compliance-checker 2.3.0 or higher.')
score_groups = cs.run(dataset, 'cf')
groups = ComplianceChecker.stdout_output(cs, score_groups, verbose=1, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
assert cs.passtree(groups, limit=COMPLIANCE_CHECKER_NORMAL_LIMIT)
