Nested types¶
This example shows how to work with types.
Let’s consider the following c++ file:
namespace ns{
const int a = 0;
const volatile int *b = 0;
}
The following code allows you to extract information about the types of variables:
from pygccxml import utils
from pygccxml import declarations
from pygccxml import parser
# Find out the c++ parser
generator_path, generator_name = utils.find_xml_generator()
# Configure the xml generator
xml_generator_config = parser.xml_generator_configuration_t(
xml_generator_path=generator_path,
xml_generator=generator_name)
# The c++ file we want to parse
filename = "example.hpp"
decls = parser.parse([filename], xml_generator_config)
global_namespace = declarations.get_global_namespace(decls)
ns = global_namespace.namespace("ns")
a = ns.variables()[0]
print("My name is: " + a.name)
# > My name is: a
print("My type is: " + str(a.decl_type))
# > My type is: int const
# If we print real python type:
print("My type is : " + str(type(a.decl_type)))
# > My type is: <class 'pygccxml.declarations.cpptypes.const_t'>
# Types are nested in pygccxml. This means that you will get information
# about the first type only. You can access the "base" type by removing
# the const part:
print("My base type is: " + str(type(declarations.remove_const(a.decl_type))))
# > My base type is: <class 'pygccxml.declarations.cpptypes.int_t'>
# You use the is_const function to check for a type:
print("Is 'a' a const ?: " + str(declarations.is_const(a.decl_type)))
# > Is 'a' a const ?: True
# A more complex example with variable b:
b = ns.variables()[1]
print("My type is: " + str(type(b.decl_type)))
# > My type is: <class 'pygccxml.declarations.cpptypes.pointer_t'>
print("My type is: " + str(type(
declarations.remove_const(
declarations.remove_volatile(
declarations.remove_pointer(b.decl_type))))))
# > My type is: <class 'pygccxml.declarations.cpptypes.int_t'>
# The declarations module contains much more methods allowing you to
# navigate the nested types list.