class UrbansimConstantDataset(Dataset):
def __init__(self, **kwargs):
self.constants_dict = Constants(**kwargs)
data = {}
for attr, value in self.constants_dict.iteritems():
if isscalar(value):
new_value = array([value])
data[attr] = new_value
storage = StorageFactory().get_storage('dict_storage')
storage.write_table(table_name = 'urbansim_constants', # whatever name
table_data = data)
Dataset.__init__(self, in_storage = storage,
in_table_name='urbansim_constants',
id_name = [], dataset_name='urbansim_constant')
def summary(self, output=logger):
output.write("UrbanSim constant dataset")
def __getitem__(self, name):
if name in self.get_known_attribute_names():
return self.get_attribute(name)[0]
return self.constants_dict[name]
def __setitem__(self, name, value):
if name in self.get_known_attribute_names():
self.modify_attribute(name=name, data=array([value]), index=array([0], dtype='int32'))
self.constants_dict[name] = value
def get_income_range_for_type(self, income_type):
return self.constants_dict.get_income_range_for_type(income_type)
class UrbansimConstantDataset(Dataset):
def __init__(self, **kwargs):
self.constants_dict = Constants(**kwargs)
data = {}
for attr, value in self.constants_dict.iteritems():
if isscalar(value):
new_value = array([value])
data[attr] = new_value
storage = StorageFactory().get_storage('dict_storage')
storage.write_table(
table_name='urbansim_constants', # whatever name
table_data=data)
Dataset.__init__(self,
in_storage=storage,
in_table_name='urbansim_constants',
id_name=[],
dataset_name='urbansim_constant')
def summary(self, output=logger):
output.write("UrbanSim constant dataset")
def __getitem__(self, name):
if name in self.get_known_attribute_names():
return self.get_attribute(name)[0]
return self.constants_dict[name]
def __setitem__(self, name, value):
if name in self.get_known_attribute_names():
self.modify_attribute(name=name,
data=array([value]),
index=array([0], dtype='int32'))
self.constants_dict[name] = value
def get_income_range_for_type(self, income_type):
return self.constants_dict.get_income_range_for_type(income_type)
def __init__(self, **kwargs):
self.constants_dict = Constants(**kwargs)
data = {}
for attr, value in self.constants_dict.iteritems():
if isscalar(value):
new_value = array([value])
data[attr] = new_value
storage = StorageFactory().get_storage('dict_storage')
storage.write_table(
table_name='urbansim_constants', # whatever name
table_data=data)
Dataset.__init__(self,
in_storage=storage,
in_table_name='urbansim_constants',
id_name=[],
dataset_name='urbansim_constant')
def __init__(self, **kwargs):
self.constants_dict = Constants(**kwargs)
data = {}
for attr, value in self.constants_dict.iteritems():
if isscalar(value):
new_value = array([value])
data[attr] = new_value
storage = StorageFactory().get_storage("dict_storage")
storage.write_table(table_name="urbansim_constants", table_data=data) # whatever name
Dataset.__init__(
self, in_storage=storage, in_table_name="urbansim_constants", id_name=[], dataset_name="urbansim_constant"
)