def load(self):
if self.loaded:
logger.info("Nothing to do. Symbol already loaded.")
return
if not self.file:
raise Error(
"Cannot load {} because there is no file pointer".format(
repr(self)))
if not self.index:
raise Error(
"Cannot load {} because there is no symbol index".format(
repr(self)))
if self.data_type == GamsDataType.Parameter and HAVE_GDX2PY:
self.dataframe = gdx2py.par2list(self.file.filename, self.name)
self._loaded = True
return
data = []
ret, records = gdxcc.gdxDataReadStrStart(self.file.H, self.index)
for i in range(records):
ret, elements, values, afdim = gdxcc.gdxDataReadStr(self.file.H)
# make sure we pick value columns up correctly
data.append(
elements +
[values[col_ind] for col_name, col_ind in self.value_cols])
if self.data_type == GamsDataType.Set:
data[-1][-1] = True
# gdxdict called gdxGetElemText here, but I do not currently see value in doing that
self.dataframe = data
if not self.data_type == GamsDataType.Set:
self.dataframe = convert_gdx_to_np_svs(self.dataframe,
self.num_dims, self.file)
self._loaded = True
return
def load(self):
if self.loaded:
logger.info("Nothing to do. Symbol already loaded.")
return
if not self.file:
raise Error(
"Cannot load {} because there is no file pointer".format(
repr(self)))
if not self.index:
raise Error(
"Cannot load {} because there is no symbol index".format(
repr(self)))
if self.data_type == GamsDataType.Parameter and HAVE_GDX2PY:
self.dataframe = gdx2py.par2list(self.file.filename, self.name)
self._loaded = True
return
_ret, records = gdxcc.gdxDataReadStrStart(self.file.H, self.index)
def reader():
handle = self.file.H
for i in range(records):
yield gdxcc.gdxDataReadStr(handle)
vc = self.value_cols # do this for speed in the next line
data = [
elements + [values[col_ind] for col_name, col_ind in vc]
for ret, elements, values, afdim in reader()
]
# gdxdict called gdxGetElemText here, but I do not currently see value in doing that
self.dataframe = data
if not self.data_type == GamsDataType.Set:
self.dataframe = special.convert_gdx_to_np_svs(
self.dataframe, self.num_dims)
self._loaded = True
return