 Absolute tolerance passed directly to the inner 1-D quadrature
    integration. Default is 1.49e-8. ``dblquad`` tries to obtain
    an accuracy of ``abs(i-result) <= max(epsabs, epsrel*abs(i))``
    where ``i`` = inner integral of ``func(y, x)`` from ``gfun(x)``
    to ``hfun(x)``, and ``result`` is the numerical approximation.
    See `epsrel` below.
epsrel : float, optional
    Relative tolerance of the inner 1-D integrals. Default is 1.49e-8.
    If ``epsabs <= 0``, `epsrel` must be greater than both 5e-29
    and ``50 * (machine epsilon)``. See `epsabs` above.

Returns
-------
y : float
    The resultant integral.
abserr : float
    An estimate of the error.

See Also
--------
quad : single integral
tplquad : triple integral
nquad : N-dimensional integrals
fixed_quad : fixed-order Gaussian quadrature
simpson : integrator for sampled data
romb : integrator for sampled data
scipy.special : for coefficients and roots of orthogonal polynomials


Notes
-----
For valid results, the integral must converge; behavior for divergent
integrals is not guaranteed.

**Details of QUADPACK level routines**

`quad` calls routines from the FORTRAN library QUADPACK. This section
provides details on the conditions for each routine to be called and a
short description of each routine. For each level of integration, ``qagse``
is used for finite limits or ``qagie`` is used if either limit (or both!)
are infinite. The following provides a short description from [1]_ for each
routine.

qagse
    is an integrator based on globally adaptive interval
    subdivision in connection with extrapolation, which will
    eliminate the effects of integrand singularities of
    several types.
qagie
    handles integration over infinite intervals. The infinite range is
    mapped onto a finite interval and subsequently the same strategy as
    in ``QAGS`` is applied.

References
----------

.. [1] Piessens, Robert; de Doncker-Kapenga, Elise;
       Überhuber, Christoph W.; Kahaner, David (1983).
       QUADPACK: A subroutine package for automatic integration.
       Springer-Verlag.
       ISBN 978-3-540-12553-2.

Examples
--------
Compute the double integral of ``x * y**2`` over the box
``x`` ranging from 0 to 2 and ``y`` ranging from 0 to 1.
That is, :math:`\int^{x=2}_{x=0} \int^{y=1}_{y=0} x y^2 \,dy \,dx`.

>>> import numpy as np
>>> from scipy import integrate
>>> f = lambda y, x: x*y**2
>>> integrate.dblquad(f, 0, 2, 0, 1)
    (0.6666666666666667, 7.401486830834377e-15)

Calculate :math:`\int^{x=\pi/4}_{x=0} \int^{y=\cos(x)}_{y=\sin(x)} 1
\,dy \,dx`.

>>> f = lambda y, x: 1
>>> integrate.dblquad(f, 0, np.pi/4, np.sin, np.cos)
    (0.41421356237309503, 1.1083280054755938e-14)

Calculate :math:`\int^{x=1}_{x=0} \int^{y=2-x}_{y=x} a x y \,dy \,dx`
for :math:`a=1, 3`.

>>> f = lambda y, x, a: a*x*y
>>> integrate.dblquad(f, 0, 1, lambda x: x, lambda x: 2-x, args=(1,))
    (0.33333333333333337, 5.551115123125783e-15)
>>> integrate.dblquad(f, 0, 1, lambda x: x, lambda x: 2-x, args=(3,))
    (0.9999999999999999, 1.6653345369377348e-14)

Compute the two-dimensional Gaussian Integral, which is the integral of the
Gaussian function :math:`f(x,y) = e^{-(x^{2} + y^{2})}`, over
:math:`(-\infty,+\infty)`. That is, compute the integral
:math:`\iint^{+\infty}_{-\infty} e^{-(x^{2} + y^{2})} \,dy\,dx`.

>>> f = lambda x, y: np.exp(-(x ** 2 + y ** 2))
>>> integrate.dblquad(f, -np.inf, np.inf, -np.inf, np.inf)
    (3.141592653589777, 2.5173086737433208e-08)

c