def _empty_inner(self, row, col, filename, row_property, col_property, order, dtype, val_shape):
self._ran_once = True
self._dtype = np.dtype(dtype)
self._order = order
row = PstData._fixup_input(row)
col = PstData._fixup_input(col)
row_property = PstData._fixup_input(row_property,count=len(row))
col_property = PstData._fixup_input(col_property,count=len(col))
with open(filename,'wb') as fp:
np.save(fp, np.array([_magic_number]))
np.save(fp, np.array(["pstmemmap"])) #name of file format
np.save(fp, np.array([2])) #file format version
np.save(fp, row)
np.save(fp, col)
np.save(fp, row_property)
np.save(fp, col_property)
np.save(fp, np.array([self._dtype]))
np.save(fp, np.array([self._order]))
np.save(fp, np.array([val_shape]))
self._offset = fp.tell()
logging.info("About to start allocating memmap '{0}'".format(filename))
shape = (len(row),len(col)) if val_shape is None else (len(row),len(col),val_shape)
val = np.memmap(filename, offset=self._offset, dtype=dtype, mode="r+", order=order, shape=shape)
logging.info("Finished allocating memmap '{0}'. Size is {1:,}".format(filename,os.path.getsize(filename)))
PstData.__init__(self,row,col,val,row_property,col_property,name="np.memmap('{0}')".format(filename))
def _run_once(self):
if (self._ran_once):
return
row, col, val, row_property, col_property = self._run_once_inner()
PstData.__init__(self,
row,
col,
val,
row_property,
col_property,
name="np.memmap('{0}')".format(self._filename))