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" )