Fixed finding python libraries on windows in venv

Added advanced doc section on virtual methods + inheritance

When run on windows in a venv, PYTHON_LIBRARY pointet to a non-existant
location in the virtual environment directory.

This has been fixed by testing if the path exists and, if not, trying
an alternative path, relative to the PYTHON_INCLUDE_DIR.

If the alternative path doesn't exit as well, an error will be raised.

It was already pretty badly intrusive, but it also appears to make MSVC
segfault.  Rather than investigating and fixing it, it's easier to just
remove it.

As discussed in #320.

The adds a documentation block that mentions that the trampoline classes
must provide overrides for both the classes' own virtual methods *and*
any inherited virtual methods.  It also provides a templated solution to
avoiding method duplication.

The example includes a third method (only mentioned in the "see also"
section of the documentation addition), using multiple inheritance.
While this approach works, and avoids code generation in deep
hierarchies, it is intrusive by requiring that the wrapped classes use
virtual inheritance, which itself is more instrusive if any of the
virtual base classes need anything other than default constructors.  As
per the discussion in #320, it is kept as an example, but not suggested
in the documentation.

Fix minor signedness warnings on clang

Improve function signatures for IDEs and static analysis tools

Example signatures (old => new):
  foo(int) => foo(arg0: int)
  bar(Object, int) => bar(self: Object, arg0: int)

The change makes the signatures uniform for named and unnamed arguments
and it helps static analysis tools reconstruct function signatures from
docstrings.

This also tweaks the signature whitespace style to better conform to
PEP 8 for annotations and default arguments:
  " : " => ": "
  " = " => "="

*Really* fix enumeration indices

Eigen support for special matrix objects

Functions returning specialized Eigen matrices like Eigen::DiagonalMatrix and
Eigen::SelfAdjointView--which inherit from EigenBase but not
DenseBase--isn't currently allowed; such classes are explicitly copyable
into a Matrix (by definition), and so we can support functions that
return them by copying the value into a Matrix then casting that
resulting dense Matrix into a numpy.ndarray.  This commit does exactly
that.

Fix eigen copying of non-standard stride values

Fix scoped enums and add scoped enum example

Some Eigen objects, such as those returned by matrix.diagonal() and
matrix.block() have non-standard stride values because they are
basically just maps onto the underlying matrix without copying it (for
example, the primary diagonal of a 3x3 matrix is a vector-like object
with .src equal to the full matrix data, but with stride 4).  Returning
such an object from a pybind11 method breaks, however, because pybind11
assumes vectors have stride 1, and that matrices have strides equal to
the number of rows/columns or 1 (depending on whether the matrix is
stored column-major or row-major).

This commit fixes the issue by making pybind11 use Eigen's stride
methods when copying the data.

This makes the Python interface mirror the C++ interface:
pybind11-exported scoped enums aren't directly comparable to the
underlying integer values.

PR #309 broke scoped enums, which failed to compile because the added:

    value == value2

comparison isn't valid for a scoped enum (they aren't implicitly
convertible to the underlying type).  This commit fixes it by
explicitly converting the enum value to its underlying type before
doing the comparison.

It also adds a scoped enum example to the constants-and-functions
example that triggers the problem fixed in this commit.

Add support for Eigen::Ref<...> function arguments

Eigen::Ref is a common way to pass eigen dense types without needing a
template, e.g. the single definition `void
func(Eigen::Ref<Eigen::MatrixXd> x)` can be called with any double
matrix-like object.

The current pybind11 eigen support fails with internal errors if
attempting to bind a function with an Eigen::Ref<...> argument because
Eigen::Ref<...> satisfies the "is_eigen_dense" requirement, but can't
compile if actually used: Eigen::Ref<...> itself is not default
constructible, and so the argument std::tuple containing an
Eigen::Ref<...> isn't constructible, which results in compilation
failure.

This commit adds support for Eigen::Ref<...> by giving it its own
type_caster implementation which consists of an internal type_caster of
the referenced type, load/cast methods that dispatch to the internal
type_caster, and a unique_ptr to an Eigen::Ref<> instance that gets
set during load().

There is, of course, no performance advantage for pybind11-using code of
using Eigen::Ref<...>--we are allocating a matrix of the derived type
when loading it--but this has the advantage of allowing pybind11 to bind
transparently to C++ methods taking Eigen::Refs.

Fix zero valued enum comparison error

Enable comparisons between enums and their underlying types

Mark pybind11 include dir as PRIVATE to avoid a CMake error message.

Improve CI test coverage: eigen, numpy and C++14

Changes accessor::operator=() to throw error_already_set() instead of using pybind11_fail().

Mark the pybind11 headers as private to the target.

Fixes #305

PyObject_SetItem and PyObject_SetAttr both throws an exception on
failure so this will show the underlying exception instead of masking
it.

Fixes #303.

Rename examples files, as per #288