def get_empty(ncells=0, aux_names=None, structured=True):
# get an empty recaray that correponds to dtype
dtype = ModflowGhb.get_default_dtype(structured=structured)
if aux_names is not None:
dtype = Package.add_to_dtype(dtype, aux_names, np.float32)
d = np.zeros((ncells, len(dtype)), dtype=dtype)
d[:, :] = -1.0E+10
return np.core.records.fromarrays(d.transpose(), dtype=dtype)
def get_empty(ncells=0, aux_names=None):
#get an empty recaray that corresponds to dtype
dtype = ModflowChd.get_default_dtype()
if aux_names is not None:
dtype = Package.add_to_dtype(dtype, aux_names, np.float32)
d = np.zeros((ncells, len(dtype)), dtype=dtype)
d[:, :] = -1.0E+10
return np.core.records.fromarrays(d.transpose(), dtype=dtype)
def get_empty(ncells=0, aux_names=None, structured=True):
"""
Get an empty recarray that correponds to hfb dtype and has
been extended to include aux variables and associated
aux names.
"""
dtype = ModflowHfb.get_default_dtype(structured=structured)
if aux_names is not None:
dtype = Package.add_to_dtype(dtype, aux_names, np.float32)
d = np.zeros((ncells, len(dtype)), dtype=dtype)
d[:, :] = -1.0e10
return np.core.records.fromarrays(d.transpose(), dtype=dtype)
def get_empty(ncells=0, aux_names=None):
"""
Get an empty recarray that correponds to hfb dtype and has
been extended to include aux variables and associated
aux names.
"""
dtype = ModflowHfb.get_default_dtype()
if aux_names is not None:
dtype = Package.add_to_dtype(dtype, aux_names, np.float32)
d = np.zeros((ncells, len(dtype)), dtype=dtype)
d[:, :] = -1.0E+10
return np.core.records.fromarrays(d.transpose(), dtype=dtype)
