File object support for imread and imsave
BUG: limit input ranges in special.nctdtr
BUG: return nan when ncp is too large for cdftnc
ENH: signal: Allow upsweeps of frequency in the 'hyperbolic' chirp.

The restriction that f0 > f1 > 0 has been removed.  The only requirement
is that f0 and f1 are not zero.  Negative frequencies can be given.
(Even f0 and f1 with opposite signs are allowed, but this is not expected
to be a useful case.)  The degenerate case with f0 == f1 is now also
handled.

Two small changes not directly related to the above change:
* Changed "geometric" to "logarithmic" in the argument of the ValueError
  that can be raised when method="logaithmic".
* Added `t = asarray(t)` in the function _chirp_phase, so the 't' argument
  of `chirp` is now `array_like`.

Closes gh-3285.
DOC: add note about different ba forms
Changed parameter naming and added test for file objects
ENH: improve nanmedian performance

remove unnecessary copy, an unnecessary sort and use inplace median on
the compressed copy.
BUG: fix scipy.io.mmread() of gzipped and bzip2ed files under Python3

fixes #2152
BUG: sparse: fix bugs in dia_matrix.setdiag

- hide details of the internal dia_matrix data representation in
  setdiag(), so that behavior matches the other spmatrix types

- fix bugs in resizing self.data, which doesn't always have
  self.shape[1]==N

- add scalar broadcasting behavior to setdiag() for all matrix types
ENH: sparse: rewrite some lil methods in Cython for speedups
ENH: sparse: implement cythonized fancy setitem
ENH: sparse: use memoryview in _csparsetools
ENH: sparse: add scalar indexing fast paths to LIL
MAINT: sparse: document the _csparsetools.pyx file appropriately
Fix "imresize does not work with size = int"

Solution from http://mail.scipy.org/pipermail/scipy-dev/2010-July/015132.html

Also adds test_imresize4.
MAINT: add _csparsetools to .gitignore
MAINT: drop Cython from .gitattributes (no longer in repo)
BUG: sparse/dsolve: fix dense matrix fortran order bugs in superlu wrappers

This also allows passing in dense matrices to SuperLU, without needing
to loop on the Python side.
Add scipy.stats.sigmaclip to the html docs
BUG: sparse/dsolve: detect invalid LAPACK parameters in superlu and bail out gracefully