def _run_check(self, check_method, ds):
val = check_method(ds)
if isinstance(val, list):
return [fix_return_value(v, check_method.im_func.func_name, check_method, check_method.im_self) for v in val]
return [fix_return_value(val, check_method.im_func.func_name, check_method, check_method.im_self)]
def _run_check(self, check_method, ds, max_level):
"""
Runs a check and appends a result to the values list.
@param bound method check_method: a given check method
@param netCDF4 dataset ds
@param int max_level: check level
@return list: list of Result objects
"""
val = check_method(ds)
if hasattr(val, "__iter__"):
# Handle OrderedDict when we need to modify results in a superclass
# i.e. some checks in CF 1.7 which extend CF 1.6 behaviors
if isinstance(val, dict):
val_iter = val.values()
else:
val_iter = val
check_val = []
for v in val_iter:
res = fix_return_value(
v,
check_method.__func__.__name__,
check_method,
check_method.__self__,
)
if max_level is None or res.weight > max_level:
check_val.append(res)
return check_val
else:
check_val = fix_return_value(val, check_method.__func__.__name__,
check_method, check_method.__self__)
if max_level is None or check_val.weight > max_level:
return [check_val]
else:
return []
def _run_check(self, check_method, ds, max_level):
"""
Runs a check and appends a result to the values list.
@param bound method check_method: a given check method
@param netCDF4 dataset ds
@param int max_level: check level
@return list: list of Result objects
"""
val = check_method(ds)
if isinstance(val, list):
check_val = []
for v in val:
res = fix_return_value(v, check_method.__func__.__name__,
check_method, check_method.__self__)
if max_level is None or res.weight > max_level:
check_val.append(res)
return check_val
else:
check_val = fix_return_value(val, check_method.__func__.__name__,
check_method, check_method.__self__)
if max_level is None or check_val.weight > max_level:
return [check_val]
else:
return []
def _run_check(self, check_method, ds):
val = check_method(ds)
if isinstance(val, list):
return [fix_return_value(v, check_method.__func__.__name__, check_method, check_method.__self__) for v in val]
return [fix_return_value(val, check_method.__func__.__name__, check_method, check_method.__self__)]
def _run_check(self, check_method, ds):
val = check_method(ds)
if isinstance(val, list):
return [fix_return_value(v, check_method.__func__.__name__, check_method, check_method.__self__) for v in val]
return [fix_return_value(val, check_method.__func__.__name__, check_method, check_method.__self__)]
def _run_check(self, check_method, ds, max_level):
"""
Runs a check and appends a result to the values list.
@param bound method check_method: a given check method
@param netCDF4 dataset ds
@param int max_level: check level
@return list: list of Result objects
"""
val = check_method(ds)
if isinstance(val, list):
check_val = []
for v in val:
res = fix_return_value(v, check_method.__func__.__name__,
check_method, check_method.__self__)
if max_level is None or res.weight > max_level:
check_val.append(res)
return check_val
else:
check_val = fix_return_value(val, check_method.__func__.__name__,
check_method, check_method.__self__)
if max_level is None or check_val.weight > max_level:
return [check_val]
else:
return []
def _run_check(self, check_method, ds):
val = check_method(ds)
if isinstance(val, list):
return [
fix_return_value(v, check_method.im_func.func_name,
check_method, check_method.im_self)
for v in val
]
return [
fix_return_value(val, check_method.im_func.func_name, check_method,
check_method.im_self)
]
