Merge pull request #4005 from juliantaylor/release-notes-1.7

Add 1.7.2 release notes and fix some layout issues

doc/release/1.3.0-notes.rst

@@ -1,6 +1,5 @@
-=========================
 NumPy 1.3.0 Release Notes
-=========================
+*************************
 
 This minor includes numerous bug fixes, official python 2.6 support, and
 several new features such as generalized ufuncs.
@@ -180,7 +179,7 @@ The following functions have been added to the multiarray C API:
 	* PyArray_GetEndianness: to get runtime endianness
 
 Ufunc API
-~~~~~~~~~~~~~~
+~~~~~~~~~
 
 The following functions have been added to the ufunc API:
 

doc/release/1.4.0-notes.rst

@@ -1,6 +1,5 @@
-=========================
 NumPy 1.4.0 Release Notes
-=========================
+*************************
 
 This minor includes numerous bug fixes, as well as a few new features. It
 is backward compatible with 1.3.0 release.

doc/release/1.5.0-notes.rst

@@ -1,18 +1,17 @@
-=========================
 NumPy 1.5.0 Release Notes
-=========================
+*************************
 
 
 Highlights
 ==========
 
 Python 3 compatibility
-----------------------
+~~~~~~~~~~~~~~~~~~~~~~
 
 This is the first NumPy release which is compatible with Python 3. Support for
 Python 3 and Python 2 is done from a single code base. Extensive notes on
 changes can be found at
-`<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_. 
+`<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_.
 
 Note that the Numpy testing framework relies on nose, which does not have a
 Python 3 compatible release yet. A working Python 3 branch of nose can be found
@@ -21,7 +20,7 @@ at `<http://bitbucket.org/jpellerin/nose3/>`_ however.
 Porting of SciPy to Python 3 is expected to be completed soon.
 
 :pep:`3118` compatibility
--------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~
 
 The new buffer protocol described by PEP 3118 is fully supported in this
 version of Numpy. On Python versions >= 2.6 Numpy arrays expose the buffer
@@ -33,7 +32,7 @@ New features
 ============
 
 Warning on casting complex to real
-----------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Numpy now emits a `numpy.ComplexWarning` when a complex number is cast
 into a real number. For example:
@@ -50,7 +49,7 @@ turned off in the standard way:
     >>> warnings.simplefilter("ignore", np.ComplexWarning)
 
 Dot method for ndarrays
------------------------
+~~~~~~~~~~~~~~~~~~~~~~~
 
 Ndarrays now have the dot product also as a method, which allows writing
 chains of matrix products as
@@ -62,15 +61,15 @@ instead of the longer alternative
     >>> np.dot(a, np.dot(b, c))
 
 linalg.slogdet function
------------------------
+~~~~~~~~~~~~~~~~~~~~~~~
 
 The slogdet function returns the sign and logarithm of the determinant
 of a matrix. Because the determinant may involve the product of many
 small/large values, the result is often more accurate than that obtained
 by simple multiplication.
 
 new header
-----------
+~~~~~~~~~~
 
 The new header file ndarraytypes.h contains the symbols from
 ndarrayobject.h that do not depend on the PY_ARRAY_UNIQUE_SYMBOL and
@@ -85,7 +84,7 @@ Changes
 =======
 
 polynomial.polynomial
----------------------
+~~~~~~~~~~~~~~~~~~~~~
 
 * The polyint and polyder functions now check that the specified number
   integrations or derivations is a non-negative integer. The number 0 is
@@ -101,7 +100,7 @@ polynomial.polynomial
 * The polymulx function was added.
 
 polynomial.chebyshev
---------------------
+~~~~~~~~~~~~~~~~~~~~
 
 * The chebint and chebder functions now check that the specified number
   integrations or derivations is a non-negative integer. The number 0 is
@@ -119,13 +118,13 @@ polynomial.chebyshev
 
 
 histogram
----------
+~~~~~~~~~
 
 After a two years transition period, the old behavior of the histogram function
 has been phased out, and the "new" keyword has been removed.
 
 correlate
----------
+~~~~~~~~~
 
 The old behavior of correlate was deprecated in 1.4.0, the new behavior (the
 usual definition for cross-correlation) is now the default.

doc/release/1.6.0-notes.rst

@@ -1,6 +1,5 @@
-=========================
 NumPy 1.6.0 Release Notes
-=========================
+*************************
 
 This release includes several new features as well as numerous bug fixes and
 improved documentation.  It is backward compatible with the 1.5.0 release, and
@@ -21,7 +20,7 @@ New features
 ============
 
 New 16-bit floating point type
-------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 This release adds support for the IEEE 754-2008 binary16 format, available as
 the data type ``numpy.half``.  Within Python, the type behaves similarly to
@@ -30,7 +29,7 @@ half-float API.
 
 
 New iterator
-------------
+~~~~~~~~~~~~
 
 A new iterator has been added, replacing the functionality of the
 existing iterator and multi-iterator with a single object and API.
@@ -43,7 +42,7 @@ iterator.
 
 
 Legendre, Laguerre, Hermite, HermiteE polynomials in ``numpy.polynomial``
--------------------------------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Extend the number of polynomials available in the polynomial package. In
 addition, a new ``window`` attribute has been added to the classes in
@@ -54,7 +53,7 @@ of values without playing unnatural tricks with the domain.
 
 
 Fortran assumed shape array and size function support in ``numpy.f2py``
------------------------------------------------------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 F2py now supports wrapping Fortran 90 routines that use assumed shape
 arrays.  Before such routines could be called from Python but the
@@ -68,7 +67,7 @@ that use two argument ``size`` function in dimension specifications.
 
 
 Other new functions
--------------------
+~~~~~~~~~~~~~~~~~~~
 
 ``numpy.ravel_multi_index`` : Converts a multi-index tuple into
 an array of flat indices, applying boundary modes to the indices.
@@ -91,30 +90,30 @@ Changes
 =======
 
 ``default error handling``
---------------------------
+~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 The default error handling has been change from ``print`` to ``warn`` for
 all except for ``underflow``, which remains as ``ignore``.
 
 
 ``numpy.distutils``
--------------------
+~~~~~~~~~~~~~~~~~~~
 
 Several new compilers are supported for building Numpy: the Portland Group
 Fortran compiler on OS X, the PathScale compiler suite and the 64-bit Intel C
 compiler on Linux.
 
 
 ``numpy.testing``
------------------
+~~~~~~~~~~~~~~~~~
 
 The testing framework gained ``numpy.testing.assert_allclose``, which provides
 a more convenient way to compare floating point arrays than
 `assert_almost_equal`, `assert_approx_equal` and `assert_array_almost_equal`.
 
 
 ``C API``
----------
+~~~~~~~~~
 
 In addition to the APIs for the new iterator and half data type, a number
 of other additions have been made to the C API. The type promotion
@@ -138,29 +137,29 @@ Removed features
 ================
 
 ``numpy.fft``
--------------
+~~~~~~~~~~~~~
 
 The functions `refft`, `refft2`, `refftn`, `irefft`, `irefft2`, `irefftn`,
 which were aliases for the same functions without the 'e' in the name, were
 removed.
 
 
 ``numpy.memmap``
-----------------
+~~~~~~~~~~~~~~~~
 
 The `sync()` and `close()` methods of memmap were removed.  Use `flush()` and
 "del memmap" instead.
 
 
 ``numpy.lib``
--------------
+~~~~~~~~~~~~~
 
 The deprecated functions ``numpy.unique1d``, ``numpy.setmember1d``,
 ``numpy.intersect1d_nu`` and ``numpy.lib.ufunclike.log2`` were removed.
 
 
 ``numpy.ma``
-------------
+~~~~~~~~~~~~
 
 Several deprecated items were removed from the ``numpy.ma`` module::
 
@@ -171,7 +170,7 @@ Several deprecated items were removed from the ``numpy.ma`` module::
 
 
 ``numpy.distutils``
--------------------
+~~~~~~~~~~~~~~~~~~~
 
 The ``numpy.get_numpy_include`` function was removed, use ``numpy.get_include``
 instead.

doc/release/1.6.1-notes.rst

@@ -1,22 +1,20 @@
-=========================
 NumPy 1.6.1 Release Notes
-=========================
+*************************
 
 This is a bugfix only release in the 1.6.x series.
 
 
-Issues fixed
-------------
-
-#1834   einsum fails for specific shapes
-#1837   einsum throws nan or freezes python for specific array shapes
-#1838   object <-> structured type arrays regression
-#1851   regression for SWIG based code in 1.6.0
-#1863   Buggy results when operating on array copied with astype()
-#1870   Fix corner case of object array assignment
-#1843   Py3k: fix error with recarray
-#1885   nditer: Error in detecting double reduction loop
-#1874   f2py: fix --include_paths bug
-#1749   Fix ctypes.load_library()
-#1895/1896  iter: writeonly operands weren't always being buffered correctly
+Issues Fixed
+============
 
+* #1834: einsum fails for specific shapes
+* #1837: einsum throws nan or freezes python for specific array shapes
+* #1838: object <-> structured type arrays regression
+* #1851: regression for SWIG based code in 1.6.0
+* #1863: Buggy results when operating on array copied with astype()
+* #1870: Fix corner case of object array assignment
+* #1843: Py3k: fix error with recarray
+* #1885: nditer: Error in detecting double reduction loop
+* #1874: f2py: fix --include_paths bug
+* #1749: Fix ctypes.load_library()
+* #1895/1896:  iter: writeonly operands weren't always being buffered correctly