def dict_to_object(self, obj):
for k, v in obj.items():
if isinstance(v, str):
try:
obj[k] = iso8601(v)
continue
except ValueError:
pass
try:
obj[k] = str_to_dtype(v)
continue
except ValueError:
pass
if "__class__" not in obj:
LOG.warning(
"No '__class__' element in JSON file. Using BaseP2GObject by default for now."
)
obj["__class__"] = "BaseP2GObject"
return BaseP2GObject(**obj)
cls = self._jsonclass_to_pyclass(obj["__class__"])
inst = cls(**obj)
return inst
def _parse_binary_info(parts):
from polar2grid.core.dtype import str_to_dtype
fn = parts[0]
if not os.path.exists(fn):
raise ValueError("File '%s' does not exist" % (fn, ))
dtype = str_to_dtype(parts[1])
rows = int(parts[2])
cols = int(parts[3])
fill = float(parts[4])
arr = numpy.memmap(fn, dtype=dtype, mode='r', shape=(rows, cols))
return (fn, numpy.ma.masked_array(arr, numpy.isnan(arr) | (arr == fill)))
def _parse_binary_info(parts):
from polar2grid.core.dtype import str_to_dtype
fn = parts[0]
if not os.path.exists(fn):
raise ValueError("File '%s' does not exist" % (fn,))
dtype = str_to_dtype(parts[1])
rows = int(parts[2])
cols = int(parts[3])
fill = float(parts[4])
arr = numpy.memmap(fn, dtype=dtype, mode='r', shape=(rows, cols))
return fn, numpy.ma.masked_array(arr, numpy.isnan(arr) | (arr == fill))
def dict_to_object(self, obj):
for k, v in obj.items():
if isinstance(v, (str, unicode)):
try:
obj[k] = iso8601(v)
continue
except ValueError:
pass
try:
obj[k] = str_to_dtype(v)
continue
except StandardError:
pass
if "__class__" not in obj:
LOG.warning("No '__class__' element in JSON file. Using BaseP2GObject by default for now.")
obj["__class__"] = "BaseP2GObject"
return BaseP2GObject(**obj)
cls = self._jsonclass_to_pyclass(obj["__class__"])
inst = cls(**obj)
return inst
