Drawn a random number from a uniform probability distribution using boost library

I am trying to use uniform_real_distribution from this C++ library in my cython script to generate a real random number from the uniform distribution between zero and one. This is my piece of code:

# Wrapper classes for random number generation 

cdef extern from "boost/random/mersenne_twister.hpp" namespace "boost::random" nogil:
    # random number generator
    cdef cppclass mt19937:
        #init
        mt19937() nogil
        #attributes

        #methods
        mt19937(unsigned int seed)
        void seed(unsigned int seed)

cdef extern from "boost/random/uniform_real_distributio.hpp" namespace "boost::random" nogil:    
     cdef cppclass uniform_real_distribution[T]:
          uniform_real_distribution()
          uniform_real_distribution(T a, T b)
          T operator()(mt19937 gen)

cdef mt19937 rng = mt19937(1)
cdef uniform_real_distribution[double] UnifDist = uniform_real_distribution[double](0.0,1.0)
u2 = UnifDist(rng)

My setup.py script looks like this:

from distutils.core import setup
from distutils.extension import Extension

import numpy
from Cython.Distutils import build_ext
extra_compile_args = ['-fPIC']
extra_link_args = ['-Wall']
setup(
    cmdclass = {'build_ext': build_ext},
    ext_modules=[
        Extension("test", 
                  sources=["test.pyx"],
                  include_dirs=[numpy.get_include()],
                  extra_compile_args=extra_compile_args,
                  extra_link_args=extra_link_args)
    ],
gdb_debug=True)

The error message is

5: fatal error: boost/random/mersenne_twister.hpp: No such file or directory
compilation terminated.
error: command 'gcc' failed with exit status 

What is the best way to generate a random number from a uniform distribution in cython? Plus, how can I import this library into my cython script?