Allow checking two or more fortran compilers instead of one.
BUG: fix missing check for memory allocation failure in ufuncs

closes gh-4018
cross-platform code to find numpy config

https://github.com/numpy/numpy/issues/3995
When reading file in chunks, buffer_size < dtype.itemsize, ensure at least one read
BUG: Fix raising exception on invalid assignment from sequence

Closes gh-4024
test for failing chunk read of large string
Merge pull request #4024 from eltjpm/from_sequence_fix

Sequence assignment doesn't raise exception on shape mismatch
BUG: Fix chunked reading of strings longer than BUFFERSIZE

This fix correctly calculates the number of BUFFER_SIZE chunks to read.
This fix takes into account dtype sizes that could be larger
than the BUFFER_SIZE, like a long string.
See #4027
Merge pull request #4022 from bbudescu/win-home-envvar

cross-platform code to find home folder when looking .numpy-site.cfg
Merge pull request #3996 from stromnov/master

Allow checking two or more fortran compilers instead of one.
Merge pull request #4027 from halfaleague/chunk-read-bug

Chunked reading fails when dtype.itemsize is larger than buffer size.
TST: improve test_long_str and add documentation
Merge pull request #4032 from juliantaylor/format-test

TST: improve test_long_str and add documentation
DOC: Change pad mode options to a definition list

Current formatting is not part of rst, and is not rendering correctly at http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.pad.html
Merge pull request #4034 from endolith/patch-1

DOC: Change pad mode options to a definition list
DEP: non-integer scalar python sequence repeat

This starts deprecation for code such as
np.float_(3.4) * [1, 2]
which should only work for integer objects. It may be possible
to just return NotImplemented since at least python sequences
implement their multiply themself through __index__.

Further action is only needed for PyArray_PyIntAsIntp, so this
is part of a larger deprecation now.

Closes gh-4036
DOC: Add an example of casting array type and byte order using astype.
DOC: Spelling correction for numpy.diag see also
Merge pull request #4037 from migueldvb/docs

Example to convert the type of an array using the astype method and minor typo fix
Updated FAQ with links to github issues page etc

Removed some questions that are no longer relevant