def set_ops(self, indexes):
"""Set the operations for each node of each cell of the search_space.
Args:
indexes (list): element of list can be float in [0, 1] or int.
Raises:
WrongSequenceToSetOperations: raised when 'indexes' is of a wrong length.
"""
if len(indexes) != len(list(self.variable_nodes)):
raise WrongSequenceToSetOperations(indexes, list(self.variable_nodes))
for op_i, node in zip(indexes, self.variable_nodes):
node.set_op(op_i)
output_nodes = self.get_output_nodes()
self.output_node = self.set_output_node(self.graph, output_nodes)
def denormalize(self, indexes):
"""Denormalize a sequence of normalized indexes to get a sequence of absolute indexes. Useful when you want to compare the number of different search_spaces.
Args:
indexes (Iterable): a sequence of normalized indexes.
Returns:
list: A list of absolute indexes corresponding to operations choosen with relative indexes of `indexes`.
"""
assert isinstance(
indexes, Iterable
), 'Wrong argument, "indexes" should be of Iterable.'
if len(indexes) != self.num_nodes:
raise WrongSequenceToSetOperations(indexes, list(self.variable_nodes))
return [
vnode.denormalize(op_i) for op_i, vnode in zip(indexes, self.variable_nodes)
]