def create_coefficient_arrays (self, neqs, equation_ids=None):
self.variable_names = array(map(lambda x: ModelVariableName(x,
self.constant_string, self.reserved_name_prefix),
self.specification.get_distinct_long_variable_names()))
submodels = self.coefficients.get_submodels()
if equation_ids is not None:
self.neqs = int(max(self.specification.get_nequations(),len(equation_ids), neqs))
unique_eqs = equation_ids
for ieq in range(unique_eqs.size):
self._equation_index_mapping[unique_eqs[ieq]] = ieq
else:
self.neqs = int(max(self.specification.get_nequations(), neqs))
self.nsubmodels = int(self.specification.get_nsubmodels())
names = self.coefficients.get_names()
if names.size > 0:
self.coefficient_names = names
else:
self.coefficient_names = array([], dtype='int32')
# Constants not solved yet
# constants = get_constants(self.specification)
# self.coefficient_names = get_names_without_constants(names,constants)
self.n = self.get_variable_names().size
if self.n > 0:
self.initialize_coefficient_arrays()
submodels_array = self.specification.get_distinct_submodels()
if (submodels_array.size <=0) or ((self.get_nsubmodels() == 1) and (submodels_array[0] < 0)):
submodels_array = array([-2]) #set sub_model_id = -2 if have no or 1 submodel
self.submodels_mapping = do_id_mapping_dict_from_array(submodels_array)
for dimname in self.other_dimensions_values.keys():
self.other_dimensions_mapping[dimname] = do_id_mapping_dict_from_array(self.other_dimensions_values[dimname])
self.match_variable_with_coefficient_names(self.specification.get_coefficient_names(),
self.specification.get_variable_names())
self.fill_values()
def __init__(self,
resources=None,
dataset1=None,
dataset2=None,
index1=None,
index2=None,
dataset_name=None,
debug=None):
""" Argument 'resources' is of type Resources. It is merged with arguments. It should contain:
dataset1 - agent class
dataset2 - class of the choice dataset
Optional:
index1 - 1D array, indices of dataset1
index2 - If 2D array: row i contains indices of individuals of dataset2 that belong to
i-th individual of dataset1[index1].
If 1D array: indices of individuals of dataset2 for all individuals of dataset1[index1].
dataset_name - subdirectory in which implementation of the interaction variables is placed (default "")
dataset1.resources and dataset2.resources should contain key 'dataset_name' (see Dataset.get_dataset_name()).
"""
self.resources = Resources(resources)
self.resources.merge_if_not_None({
"dataset1": dataset1,
"dataset2": dataset2,
"index1": index1,
"index2": index2,
"dataset_name": dataset_name,
"debug": debug
})
self.attribute_boxes = {}
self.attribute_names = []
self.debug = self.resources.get("debug", 0)
if not isinstance(self.debug, DebugPrinter):
self.debug = DebugPrinter(self.debug)
self.resources.check_obligatory_keys(["dataset1", "dataset2"])
self.dataset1 = self.resources["dataset1"]
self.dataset2 = self.resources["dataset2"]
self.index1 = self.resources.get("index1", None)
self.index2 = self.resources.get("index2", None)
self.dataset_name = self.resources.get("dataset_name", None)
if self.dataset_name == None:
self.dataset_name = self.dataset1.get_dataset_name(
) + '_x_' + self.dataset2.get_dataset_name()
self._primary_attribute_names = []
self.index1_mapping = {}
if self.index1 <> None:
self.index1_mapping = do_id_mapping_dict_from_array(self.index1)
self._id_names = None # for compatibility with Dataset
self.variable_factory = VariableFactory()
self._aliases = {} # for compatibility with Dataset
def __init__(self, resources=None, dataset1=None, dataset2=None, index1=None, index2=None, dataset_name=None,
debug=None):
""" Argument 'resources' is of type Resources. It is merged with arguments. It should contain:
dataset1 - agent class
dataset2 - class of the choice dataset
Optional:
index1 - 1D array, indices of dataset1
index2 - If 2D array: row i contains indices of individuals of dataset2 that belong to
i-th individual of dataset1[index1].
If 1D array: indices of individuals of dataset2 for all individuals of dataset1[index1].
dataset_name - subdirectory in which implementation of the interaction variables is placed (default "")
dataset1.resources and dataset2.resources should contain key 'dataset_name' (see Dataset.get_dataset_name()).
"""
self.resources = Resources(resources)
self.resources.merge_if_not_None({
"dataset1":dataset1, "dataset2":dataset2,
"index1":index1, "index2":index2,
"dataset_name":dataset_name, "debug":debug})
self.attribute_boxes = {}
self.attribute_names = []
self.debug = self.resources.get("debug", 0)
if not isinstance(self.debug, DebugPrinter):
self.debug = DebugPrinter(self.debug)
self.resources.check_obligatory_keys(["dataset1", "dataset2"])
self.dataset1 = self.resources["dataset1"]
self.dataset2 = self.resources["dataset2"]
self.index1 = self.resources.get("index1", None)
self.index2 = self.resources.get("index2", None)
self.dataset_name = self.resources.get("dataset_name", None)
if self.dataset_name == None:
self.dataset_name = self.dataset1.get_dataset_name() + '_x_' + self.dataset2.get_dataset_name()
self._primary_attribute_names=[]
self.index1_mapping = {}
if self.index1 <> None:
self.index1_mapping = do_id_mapping_dict_from_array(self.index1)
self._id_names = None # for compatibility with Dataset
self.variable_factory = VariableFactory()
self._aliases = {} # for compatibility with Dataset
