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A lightweight package for providing and consuming ROS services, actions, and topics as RESTful web services
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Scheduled weekly dependency update for week 30 #133

Closed pyup-bot closed 6 years ago

pyup-bot commented 6 years ago

Update pytest from 3.5.0 to 3.6.4.

Changelog ### 3.6.4 ``` ========================= Bug Fixes --------- - Invoke pytest using ``-mpytest`` so ``sys.path`` does not get polluted by packages installed in ``site-packages``. (`742 <https://github.com/pytest-dev/pytest/issues/742>`_) Improved Documentation ---------------------- - Use ``smtp_connection`` instead of ``smtp`` in fixtures documentation to avoid possible confusion. (`3592 <https://github.com/pytest-dev/pytest/issues/3592>`_) Trivial/Internal Changes ------------------------ - Remove obsolete ``__future__`` imports. (`2319 <https://github.com/pytest-dev/pytest/issues/2319>`_) - Add CITATION to provide information on how to formally cite pytest. (`3402 <https://github.com/pytest-dev/pytest/issues/3402>`_) - Replace broken type annotations with type comments. (`3635 <https://github.com/pytest-dev/pytest/issues/3635>`_) - Pin ``pluggy`` to ``<0.8``. (`3727 <https://github.com/pytest-dev/pytest/issues/3727>`_) ``` ### 3.6.3 ``` ========================= Bug Fixes --------- - Fix ``ImportWarning`` triggered by explicit relative imports in assertion-rewritten package modules. (`3061 <https://github.com/pytest-dev/pytest/issues/3061>`_) - Fix error in ``pytest.approx`` when dealing with 0-dimension numpy arrays. (`3593 <https://github.com/pytest-dev/pytest/issues/3593>`_) - No longer raise ``ValueError`` when using the ``get_marker`` API. (`3605 <https://github.com/pytest-dev/pytest/issues/3605>`_) - Fix problem where log messages with non-ascii characters would not appear in the output log file. (`3630 <https://github.com/pytest-dev/pytest/issues/3630>`_) - No longer raise ``AttributeError`` when legacy marks can't be stored in functions. (`3631 <https://github.com/pytest-dev/pytest/issues/3631>`_) Improved Documentation ---------------------- - The description above the example for ``pytest.mark.skipif`` now better matches the code. (`3611 <https://github.com/pytest-dev/pytest/issues/3611>`_) Trivial/Internal Changes ------------------------ - Internal refactoring: removed unused ``CallSpec2tox ._globalid_args`` attribute and ``metafunc`` parameter from ``CallSpec2.copy()``. (`3598 <https://github.com/pytest-dev/pytest/issues/3598>`_) - Silence usage of ``reduce`` warning in Python 2 (`3609 <https://github.com/pytest-dev/pytest/issues/3609>`_) - Fix usage of ``attr.ib`` deprecated ``convert`` parameter. (`3653 <https://github.com/pytest-dev/pytest/issues/3653>`_) ``` ### 3.6.2 ``` ========================= Bug Fixes --------- - Fix regression in ``Node.add_marker`` by extracting the mark object of a ``MarkDecorator``. (`3555 <https://github.com/pytest-dev/pytest/issues/3555>`_) - Warnings without ``location`` were reported as ``None``. This is corrected to now report ``<undetermined location>``. (`3563 <https://github.com/pytest-dev/pytest/issues/3563>`_) - Continue to call finalizers in the stack when a finalizer in a former scope raises an exception. (`3569 <https://github.com/pytest-dev/pytest/issues/3569>`_) - Fix encoding error with ``print`` statements in doctests (`3583 <https://github.com/pytest-dev/pytest/issues/3583>`_) Improved Documentation ---------------------- - Add documentation for the ``--strict`` flag. (`3549 <https://github.com/pytest-dev/pytest/issues/3549>`_) Trivial/Internal Changes ------------------------ - Update old quotation style to parens in fixture.rst documentation. (`3525 <https://github.com/pytest-dev/pytest/issues/3525>`_) - Improve display of hint about ``--fulltrace`` with ``KeyboardInterrupt``. (`3545 <https://github.com/pytest-dev/pytest/issues/3545>`_) - pytest's testsuite is no longer runnable through ``python setup.py test`` -- instead invoke ``pytest`` or ``tox`` directly. (`3552 <https://github.com/pytest-dev/pytest/issues/3552>`_) - Fix typo in documentation (`3567 <https://github.com/pytest-dev/pytest/issues/3567>`_) ``` ### 3.6.1 ``` ========================= Bug Fixes --------- - Fixed a bug where stdout and stderr were logged twice by junitxml when a test was marked xfail. (`3491 <https://github.com/pytest-dev/pytest/issues/3491>`_) - Fix ``usefixtures`` mark applyed to unittest tests by correctly instantiating ``FixtureInfo``. (`3498 <https://github.com/pytest-dev/pytest/issues/3498>`_) - Fix assertion rewriter compatibility with libraries that monkey patch ``file`` objects. (`3503 <https://github.com/pytest-dev/pytest/issues/3503>`_) Improved Documentation ---------------------- - Added a section on how to use fixtures as factories to the fixture documentation. (`3461 <https://github.com/pytest-dev/pytest/issues/3461>`_) Trivial/Internal Changes ------------------------ - Enable caching for pip/pre-commit in order to reduce build time on travis/appveyor. (`3502 <https://github.com/pytest-dev/pytest/issues/3502>`_) - Switch pytest to the src/ layout as we already suggested it for good practice - now we implement it as well. (`3513 <https://github.com/pytest-dev/pytest/issues/3513>`_) - Fix if in tests to support 3.7.0b5, where a docstring handling in AST got reverted. (`3530 <https://github.com/pytest-dev/pytest/issues/3530>`_) - Remove some python2.5 compatibility code. (`3529 <https://github.com/pytest-dev/pytest/issues/3529>`_) ``` ### 3.6.0 ``` ========================= Features -------- - Revamp the internals of the ``pytest.mark`` implementation with correct per node handling which fixes a number of long standing bugs caused by the old design. This introduces new ``Node.iter_markers(name)`` and ``Node.get_closest_mark(name)`` APIs. Users are **strongly encouraged** to read the `reasons for the revamp in the docs <https://docs.pytest.org/en/latest/mark.htmlmarker-revamp-and-iteration>`_, or jump over to details about `updating existing code to use the new APIs <https://docs.pytest.org/en/latest/mark.htmlupdating-code>`_. (`3317 <https://github.com/pytest-dev/pytest/issues/3317>`_) - Now when ``pytest.fixture`` is applied more than once to the same function a ``ValueError`` is raised. This buggy behavior would cause surprising problems and if was working for a test suite it was mostly by accident. (`2334 <https://github.com/pytest-dev/pytest/issues/2334>`_) - Support for Python 3.7's builtin ``breakpoint()`` method, see `Using the builtin breakpoint function <https://docs.pytest.org/en/latest/usage.htmlbreakpoint-builtin>`_ for details. (`3180 <https://github.com/pytest-dev/pytest/issues/3180>`_) - ``monkeypatch`` now supports a ``context()`` function which acts as a context manager which undoes all patching done within the ``with`` block. (`3290 <https://github.com/pytest-dev/pytest/issues/3290>`_) - The ``--pdb`` option now causes KeyboardInterrupt to enter the debugger, instead of stopping the test session. On python 2.7, hitting CTRL+C again exits the debugger. On python 3.2 and higher, use CTRL+D. (`3299 <https://github.com/pytest-dev/pytest/issues/3299>`_) - pytest not longer changes the log level of the root logger when the ``log-level`` parameter has greater numeric value than that of the level of the root logger, which makes it play better with custom logging configuration in user code. (`3307 <https://github.com/pytest-dev/pytest/issues/3307>`_) Bug Fixes --------- - A rare race-condition which might result in corrupted ``.pyc`` files on Windows has been hopefully solved. (`3008 <https://github.com/pytest-dev/pytest/issues/3008>`_) - Also use iter_marker for discovering the marks applying for marker expressions from the cli to avoid the bad data from the legacy mark storage. (`3441 <https://github.com/pytest-dev/pytest/issues/3441>`_) - When showing diffs of failed assertions where the contents contain only whitespace, escape them using ``repr()`` first to make it easy to spot the differences. (`3443 <https://github.com/pytest-dev/pytest/issues/3443>`_) Improved Documentation ---------------------- - Change documentation copyright year to a range which auto-updates itself each time it is published. (`3303 <https://github.com/pytest-dev/pytest/issues/3303>`_) Trivial/Internal Changes ------------------------ - ``pytest`` now depends on the `python-atomicwrites <https://github.com/untitaker/python-atomicwrites>`_ library. (`3008 <https://github.com/pytest-dev/pytest/issues/3008>`_) - Update all pypi.python.org URLs to pypi.org. (`3431 <https://github.com/pytest-dev/pytest/issues/3431>`_) - Detect `pytest_` prefixed hooks using the internal plugin manager since ``pluggy`` is deprecating the ``implprefix`` argument to ``PluginManager``. (`3487 <https://github.com/pytest-dev/pytest/issues/3487>`_) - Import ``Mapping`` and ``Sequence`` from ``_pytest.compat`` instead of directly from ``collections`` in ``python_api.py::approx``. Add ``Mapping`` to ``_pytest.compat``, import it from ``collections`` on python 2, but from ``collections.abc`` on Python 3 to avoid a ``DeprecationWarning`` on Python 3.7 or newer. (`3497 <https://github.com/pytest-dev/pytest/issues/3497>`_) ``` ### 3.5.1 ``` ========================= Bug Fixes --------- - Reset ``sys.last_type``, ``sys.last_value`` and ``sys.last_traceback`` before each test executes. Those attributes are added by pytest during the test run to aid debugging, but were never reset so they would create a leaking reference to the last failing test's frame which in turn could never be reclaimed by the garbage collector. (`2798 <https://github.com/pytest-dev/pytest/issues/2798>`_) - ``pytest.raises`` now raises ``TypeError`` when receiving an unknown keyword argument. (`3348 <https://github.com/pytest-dev/pytest/issues/3348>`_) - ``pytest.raises`` now works with exception classes that look like iterables. (`3372 <https://github.com/pytest-dev/pytest/issues/3372>`_) Improved Documentation ---------------------- - Fix typo in ``caplog`` fixture documentation, which incorrectly identified certain attributes as methods. (`3406 <https://github.com/pytest-dev/pytest/issues/3406>`_) Trivial/Internal Changes ------------------------ - Added a more indicative error message when parametrizing a function whose argument takes a default value. (`3221 <https://github.com/pytest-dev/pytest/issues/3221>`_) - Remove internal ``_pytest.terminal.flatten`` function in favor of ``more_itertools.collapse``. (`3330 <https://github.com/pytest-dev/pytest/issues/3330>`_) - Import some modules from ``collections.abc`` instead of ``collections`` as the former modules trigger ``DeprecationWarning`` in Python 3.7. (`3339 <https://github.com/pytest-dev/pytest/issues/3339>`_) - record_property is no longer experimental, removing the warnings was forgotten. (`3360 <https://github.com/pytest-dev/pytest/issues/3360>`_) - Mention in documentation and CLI help that fixtures with leading ``_`` are printed by ``pytest --fixtures`` only if the ``-v`` option is added. (`3398 <https://github.com/pytest-dev/pytest/issues/3398>`_) ```
Links - PyPI: https://pypi.org/project/pytest - Changelog: https://pyup.io/changelogs/pytest/ - Repo: https://github.com/pytest-dev/pytest/issues - Homepage: http://pytest.org

Update pytest-xdist from 1.22.2 to 1.22.5.

Changelog ### 1.22.5 ``` ================================ Bug Fixes --------- - `321 <https://github.com/pytest-dev/pytest-xdist/issues/321>`_: Revert change that dropped support for ``pytest<3.4`` and require ``six``. This change caused problems in some installations, and was a mistaken in the first place as we should not change version requirements in bug-fix releases unless they fix an actual bug. ``` ### 1.22.4 ``` ================================ Bug Fixes --------- - `305 <https://github.com/pytest-dev/pytest-xdist/issues/305>`_: Remove last references to obsolete ``py.code``. Remove some unnecessary references to ``py.builtin``. - `316 <https://github.com/pytest-dev/pytest-xdist/issues/316>`_: Workaround cpu detection on Travis CI. ``` ### 1.22.3 ``` ================================ Bug Fixes --------- - Fix issue of virtualized or containerized environments not reporting the number of CPUs correctly. (`9 <https://github.com/pytest-dev/pytest-xdist/issues/9>`_) Trivial Changes --------------- - Make all classes subclass from ``object`` and fix ``super()`` call in ``LoadFileScheduling``; (`297 <https://github.com/pytest-dev/pytest-xdist/issues/297>`_) ```
Links - PyPI: https://pypi.org/project/pytest-xdist - Changelog: https://pyup.io/changelogs/pytest-xdist/ - Repo: https://github.com/pytest-dev/pytest-xdist

Update hypothesis from 3.56.3 to 3.66.14.

The bot wasn't able to find a changelog for this release. Got an idea?

Links - PyPI: https://pypi.org/project/hypothesis - Repo: https://github.com/HypothesisWorks/hypothesis/issues

Update numpy from 1.14.2 to 1.15.0.

Changelog ### 1.15.0 ``` ========================== Highlights ========== * NumPy has switched to pytest for testing. New functions ============= * `np.gcd` and `np.lcm`, to compute the greatest common divisor and least common multiple. * `np.ma.stack`, the `np.stack` array-joining function generalized to masked arrays. * ``quantile`` function, an interface to ``percentile`` without factors of 100 * ``nanquantile`` function, an interface to ``nanpercentile`` without factors of 100 * `np.printoptions`, a context manager that sets print options temporarily for the scope of the ``with`` block:: >>> with np.printoptions(precision=2): ... print(np.array([2.0]) / 3) [0.67] * `np.histogram_bin_edges`, a function to get the edges of the bins used by a histogram without needing to calculate the histogram. * `npy_get_floatstatus_barrier`` and ``npy_clear_floatstatus_barrier`` have been added to deal with compiler optimization changing the order of operations. See below for details. Deprecations ============ * Aliases of builtin `pickle` functions are deprecated, in favor of their unaliased ``pickle.<func>`` names: * `np.loads` * `np.core.numeric.load` * `np.core.numeric.loads` * `np.ma.loads`, `np.ma.dumps` * `np.ma.load`, `np.ma.dump` - these functions already failed on python 3, when called with a string. * Multidimensional indexing with anything but a tuple is deprecated. This means that code such as ``ind = [slice(None), 0]``, ``arr[[slice(None), 0]]`` should be changed to ``arr[tuple(ind)]``. This is necessary to avoid ambiguity in expressions such as ``arr[[[0, 1], [0, 1]]]`` which currently is interpreted as ``arr[array([0, 1]), array([0, 1])]``. In future, this will be interpreted as ``arr[array([[0, 1], [0, 1]])]``. * Direct imports from the following modules is deprecated. All testing related imports should come from `numpy.testing`. * `np.testing.utils` * `np.testing.decorators` * `np.testing.nosetester` * `np.testing.noseclasses` * `np.core.umath_tests` * Giving a generator to `np.sum` is now deprecated. This was undocumented, but worked. Previously, it would calculate the sum of the generator expression. In the future, it might return a different result. Use `np.sum(np.from_iter(generator))` or the built-in Python `sum` instead. * Users of the C-API should call ``PyArrayResolveWriteBackIfCopy`` or ``PyArray_DiscardWritbackIfCopy`` on any array with the ``WRITEBACKIFCOPY`` flag set, before the array is deallocated. A deprecation warning will be emitted if those calls are not used when needed. * Users of ``nditer`` should use the nditer object as a context manager anytime one of the iterator operands is writeable, so that numpy can manage writeback semantics, or should call ``it.close()``. A `RuntimeWarning` may be emitted otherwise in these cases. * The ``normed`` argument of ``np.histogram``, deprecated long ago in 1.6.0, now emits a ``DeprecationWarning``. Future Changes ============== Compatibility notes =================== The ``NpzFile`` returned by ``np.savez`` is now a `collections.abc.Mapping` --------------------------------------------------------------------------- This means it behaves like a readonly dictionary, and has a new ``.values()`` method and ``len()`` implementation. On python 3, this means that ``.iteritems()``, ``.iterkeys()`` have been deprecated, and ``.keys()`` and ``.items()`` now return views and not lists. This is consistent with how the builtin ``dict`` type changed between python 2 and python 3. Under certain conditions, nditer must be used in a context manager ------------------------------------------------------------------ When using an nditer with the ``"writeonly"`` or ``"readwrite"`` flags, there are some circumstances where nditer doesn't actually give you a view onto the writable array. Instead, it gives you a copy, and if you make changes to the copy, nditer later writes those changes back into your actual array. Currently, this writeback occurs when the array objects are garbage collected, which makes this API error-prone on CPython and entirely broken on PyPy. Therefore, ``nditer`` should now be used as a context manager whenever using ``nditer`` with writeable arrays (``with np.nditer(...) as it: ...``). You may also explicitly call ``it.close()`` for cases where a context manager is unusable, for instance in generator expressions. Numpy has switched to using pytest instead of nose for testing -------------------------------------------------------------- The last nose release was 1.3.7 in June, 2015, and development of that tool has ended, consequently NumPy has now switched to using pytest. The old decorators and nose tools that were previously used by some downstream projects remain available, but will not be maintained. The standard testing utilities, `assert_almost_equal` and such, are not be affected by this change except for the nose specific functions `import_nose` and `raises`. Those functions are not used in numpy, but are kept for downstream compatibility. Numpy no longer monkey-patches ``ctypes`` with ``__array_interface__`` ---------------------------------------------------------------------- Previously numpy added ``__array_interface__`` attributes to all the integer types from ``ctypes``. ``np.ma.notmasked_contiguous`` and ``np.ma.flatnotmasked_contiguous`` always return lists ----------------------------------------------------------------------------------------- This was always the documented behavior, but in reality the result used to be any of slice, None, or list. All downstream users seem to use detect the `None` result from ``flatnotmasked_contiguous`` and replace it with ``[]``. These callers will continue to work as before. ``np.squeeze`` now respects the API expectation of objects that do not handle an ``axis`` argument -------------------------------------------------------------------------------------------------- Prior to version ``1.7.0`` ``np.squeeze`` did not have an ``axis`` argument and all empty axes were removed by default. After incorporation of an ``axis`` argument, it was possible to selectively squeeze single or multiple empty axes, but the old API expectation was not respected because the axes could still be selectively removed (silent success) in an object depending on the old API. The silent success is no longer possible, and objects expecting the old API are respected. The silent success was prevented by removing the interception of an otherwise-normal Exception when ``axis`` was provided to an object using the old API. unstructured void array's ``.item`` method now returns a bytes object --------------------------------------------------------------------- ``.item`` now returns a ``bytes`` object instead of a buffer or byte array. This may affect code which assumed the return value was mutable, which is no longer the case. ``copy.copy`` and ``copy.deepcopy`` no longer turn ``masked`` into an array ---------------------------------------------------------------------------- Since ``np.ma.masked`` is a readonly scalar, copying should be a no-op. These functions now behave consistently with ``np.copy()``. Multifield Indexing of Structured Arrays will still return a copy ----------------------------------------------------------------- The change that multi-field indexing of structured arrays returns a view instead of a copy is pushed back to 1.16. A new method ``numpy.lib.recfunctions.repack_fields`` has been introduced to help mitigate the effects of this change, which can be used to write code compatible with both numpy 1.15 and 1.16. For more information on how to update code to account for this future change see "basics/structured arrays/accessing multiple fields" in the user guide. C API changes ============= * Functions ``npy_get_floatstatus_barrier`` and ``npy_clear_floatstatus_barrier`` have been added and should be used in place of the ``npy_get_floatstatus``and ``npy_clear_status`` functions. Optimizing compilers like GCC 8.1 and Clang were rearranging the order of operations when the previous functions were used in the ufunc SIMD functions, resulting in the floatstatus flags being ' checked before the operation whose status we wanted to check was run. See `10339 <https://github.com/numpy/numpy/issues/10370>`__. * ``PyArray_GetDTypeTransferFunction`` now defaults to using user-defined ``copyswapn`` / ``copyswap`` for user-defined dtypes. If this causes a significant performance hit, consider implementing ``copyswapn`` to reflect the implementation of ``PyArray_GetStridedCopyFn``. See `10898 <https://github.com/numpy/numpy/pull/10898>`__. New Features ============ ``np.gcd`` and ``np.lcm`` ufuncs added for integer and objects types -------------------------------------------------------------------- These compute the greatest common divisor, and lowest common multiple, respectively. These work on all the numpy integer types, as well as the builtin arbitrary-precision `Decimal` and `long` types. Support for cross-platform builds for iOS ----------------------------------------- The build system has been modified to add support for the ``_PYTHON_HOST_PLATFORM`` environment variable, used by ``distutils`` when compiling on one platform for another platform. This makes it possible to compile NumPy for iOS targets. This only enables you to compile NumPy for one specific platform at a time. Creating a full iOS-compatible NumPy package requires building for the 5 architectures supported by iOS (i386, x86_64, armv7, armv7s and arm64), and combining these 5 compiled builds products into a single "fat" binary. ``return_indices`` keyword added for ``np.intersect1d`` ------------------------------------------------------- New keyword ``return_indices`` returns the indices of the two input arrays that correspond to the common elements. ``np.quantile`` and ``np.nanquantile`` -------------------------------------- Like ``np.percentile`` and ``np.nanpercentile``, but takes quantiles in [0, 1] rather than percentiles in [0, 100]. ``np.percentile`` is now a thin wrapper around ``np.quantile`` with the extra step of dividing by 100. Build system ------------ Added experimental support for the 64-bit RISC-V architecture. Improvements ============ ``np.ufunc.reduce`` and related functions now accept an initial value --------------------------------------------------------------------- ``np.ufunc.reduce``, ``np.sum``, ``np.prod``, ``np.min`` and ``np.max`` all now accept an ``initial`` keyword argument that specifies the value to start the reduction with. ``np.flip`` can operate over multiple axes ------------------------------------------ ``np.flip`` now accepts None, or tuples of int, in its ``axis`` argument. If axis is None, it will flip over all the axes. ``histogram`` and ``histogramdd`` functions have moved to ``np.lib.histograms`` ------------------------------------------------------------------------------ These were originally found in ``np.lib.function_base``. They are still available under their un-scoped ``np.histogram(dd)`` names, and to maintain compatibility, aliased at ``np.lib.function_base.histogram(dd)``. Code that does ``from np.lib.function_base import *`` will need to be updated with the new location, and should consider not using ``import *`` in future. ``histogram`` will accept NaN values when explicit bins are given ----------------------------------------------------------------- Previously it would fail when trying to compute a finite range for the data. Since the range is ignored anyway when the bins are given explicitly, this error was needless. Note that calling `histogram` on NaN values continues to raise the `RuntimeWarning`s typical of working with nan values, which can be silenced as usual with `errstate`. ``histogram`` works on datetime types, when explicit bin edges are given ------------------------------------------------------------------------ Dates, times, and timedeltas can now be histogrammed. The bin edges must be passed explicitly, and are not yet computed automatically. ``histogram`` "auto" estimator handles limited variance better ------------------------------------------------------------------------ No longer does an IQR of 0 result in `n_bins=1`, rather the number of bins chosen is related to the data size in this situation. ``histogram`` and ``histogramdd`` return edges matching the float type of the data ---------------------------------------------------------------------------------- When passed ``float16``, ``np.float32``, or ``np.longdouble`` data, the returned edges are now of the same dtype. Previously, ``histogram`` would only return the same type if explicit bins were given, and ``histogram`` would produce ``float64`` bins no matter what the inputs. ``histogramdd`` allows explicit ranges to be given in a subset of axes ---------------------------------------------------------------------- The ``range`` argument of `histogramdd` can now contain ``None`` values to indicate that the range for the corresponding axis should be computed from the data. Previously, this could not be specified on a per-axis basis. The normed arguments of ``histogramdd`` and ``histogram2d`` have been renamed ----------------------------------------------------------------------------- These arguments are now called ``density``, which is consistent with ``histogram``. The old argument continues to work, but the new name should be preferred. ``np.r_`` works with 0d arrays, and ``np.ma.mr_`` works with ``np.ma.masked`` ---------------------------------------------------------------------------- 0d arrays passed to the `r_` and `mr_` concatenation helpers are now treated as though they are arrays of length 1. Previously, passing these was an error. As a result, ``np.ma.mr_`` now works correctly on the ``masked`` constant. ``np.ptp`` accepts a ``keepdims`` argument, and extended axis tuples -------------------------------------------------------------------- ``np.ptp`` (peak-to-peak) can now work over multiple axes, just like `max` and `min`. ``MaskedArray.astype`` now is identical to ``ndarray.astype`` ------------------------------------------------------------- This means it takes all the same arguments, making more code written for ndarray work for masked array too. Enable AVX2/AVX512 at compile time ------------------------------------------------------------- Change to simd.inc.src to use AVX2 or AVX512 at compile time. Solving the gap that if compile numpy for avx2 (or 512) with -march=native, still get the SSE code for the simd functions even though rest of the code gets AVX2. ``nan_to_num`` always returns scalars when receiving scalar or 0d inputs ------------------------------------------------------------------------ Previously an array was returned for integer scalar inputs, which is inconsistent with the behavior for float inputs, and that of ufuncs in general. For all types of scalar or 0d input, the result is now a scalar. ``np.flatnonzero`` works on numpy-convertible types --------------------------------------------------- ``np.flatnonzero`` now uses ``np.ravel(a)`` instead of ``a.ravel()``, so it works for lists, tuples, etc. ``np.interp`` returns numpy scalars rather than builtin scalars --------------------------------------------------------------- Previously ``np.interp(0.5, [0, 1], [10, 20])`` would return a ``float``, but now it returns a ``np.float64`` object, which more closely matches the behavior of other functions. Additionally, the special case of ``np.interp(object_array_0d, ...)`` is no longer supported, as ``np.interp(object_array_nd)`` was never supported anyway. As a result of this change, the ``period`` argument can now be used on 0d arrays. Allow dtype field names to be unicode in Python 2 --------------------------------------------------------------- Previously ``np.dtype([(u'name', float)])`` would raise a ``TypeError`` in Python 2, as only bytestrings were allowed in field names. Now any unicode string field names will be encoded with the ``ascii`` codec, raising a ``UnicodeEncodeError`` upon failure. This change makes it easier to write Python 2/3 compatible code using ``from __future__ import unicode_literals``, which previously would cause string literal field names to raise a TypeError in Python 2. Comparison ufuncs accept ``dtype=object``, overriding the default ``bool`` -------------------------------------------------------------------------- This allows object arrays of symbolic types, which override ``==`` and other operators to return expressions, to be compared elementwise with ``np.equal(a, b, dtype=object)``. ``sort`` functions accept ``kind='stable'`` ------------------------------------------- Up until now, to perform a stable sort on the data, the user must do: >>> np.sort([5, 2, 6, 2, 1], kind='mergesort') [1, 2, 2, 5, 6] because merge sort is the only stable sorting algorithm available in NumPy. However, having kind='mergesort' does not make it explicit that the user wants to perform a stable sort thus harming the readability. This change allows the user to specify kind='stable' thus clarifying the intent. Do not make temporary copies for in-place accumulation ------------------------------------------------------ When ufuncs perform accumulation they no longer make temporary copies because of the overlap between input an output, that is, the next element accumulated is added before the accumulated result is stored in its place, hence the overlap is safe. Avoiding the copy results in faster execution. ``linalg.matrix_power`` can now handle stacks of matrices --------------------------------------------------------- Like other functions in ``linalg``, ``matrix_power`` can now deal with arrays of dimension larger than 2, which are treated as stacks of matrices. As part of the change, to further improve consistency, the name of the first argument has been changed to ``a`` (from ``M``), and the exceptions for non-square matrices have been changed to ``LinAlgError`` (from ``ValueError``). Increased performance in ``random.permutation`` for multidimensional arrays --------------------------------------------------------------------------- ``permutation`` uses the fast path in ``random.shuffle`` for all input array dimensions. Previously the fast path was only used for 1-d arrays. Generalized ufuncs now accept ``axes``, ``axis`` and ``keepdims`` arguments --------------------------------------------------------------------------- One can control over which axes a generalized ufunc operates by passing in an ``axes`` argument, a list of tuples with indices of particular axes. For instance, for a signature of ``(i,j),(j,k)->(i,k)`` appropriate for matrix multiplication, the base elements are two-dimensional matrices and these are taken to be stored in the two last axes of each argument. The corresponding axes keyword would be ``[(-2, -1), (-2, -1), (-2, -1)]``. If one wanted to use leading dimensions instead, one would pass in ``[(0, 1), (0, 1), (0, 1)]``. For simplicity, for generalized ufuncs that operate on 1-dimensional arrays (vectors), a single integer is accepted instead of a single-element tuple, and for generalized ufuncs for which all outputs are scalars, the (empty) output tuples can be omitted. Hence, for a signature of ``(i),(i)->()`` appropriate for an inner product, one could pass in ``axes=[0, 0]`` to indicate that the vectors are stored in the first dimensions of the two inputs arguments. As a short-cut for generalized ufuncs that are similar to reductions, i.e., that act on a single, shared core dimension such as the inner product example above, one can pass an ``axis`` argument. This is equivalent to passing in ``axes`` with identical entries for all arguments with that core dimension (e.g., for the example above, ``axes=[(axis,), (axis,)]``). Furthermore, like for reductions, for generalized ufuncs that have inputs that all have the same number of core dimensions and outputs with no core dimension, one can pass in ``keepdims`` to leave a dimension with size 1 in the outputs, thus allowing proper broadcasting against the original inputs. The location of the extra dimension can be controlled with ``axes``. For instance, for the inner-product example, ``keepdims=True, axes=[-2, -2, -2]`` would act on the inner-product example, ``keepdims=True, axis=-2`` would act on the one-but-last dimension of the input arguments, and leave a size 1 dimension in that place in the output. float128 values now print correctly on ppc systems -------------------------------------------------- Previously printing float128 values was buggy on ppc, since the special double-double floating-point-format on these systems was not accounted for. float128s now print with correct rounding and uniqueness. Warning to ppc users: You should upgrade glibc if it is version <=2.23, especially if using float128. On ppc, glibc's malloc in these version often misaligns allocated memory which can crash numpy when using float128 values. New ``np.take_along_axis`` and ``np.put_along_axis`` functions -------------------------------------------------------------- When used on multidimensional arrays, ``argsort``, ``argmin``, ``argmax``, and ``argpartition`` return arrays that are difficult to use as indices. ``take_along_axis`` provides an easy way to use these indices to lookup values within an array, so that:: np.take_along_axis(a, np.argsort(a, axis=axis), axis=axis) is the same as:: np.sort(a, axis=axis) ``np.put_along_axis`` acts as the dual operation for writing to these indices within an array. .. note:: Implementations of ``__array_ufunc__`` should ensure that they can handle either ``axis`` or ``axes``. In future, we may convert ``axis`` to ``axes`` before passing it on. Changes ======= ========================== ``` ### 1.14.5 ``` ========================== This is a bugfix release for bugs reported following the 1.14.4 release. The most significant fixes are: * fixes for compilation errors on alpine and NetBSD The Python versions supported in this release are 2.7 and 3.4 - 3.6. The Python 3.6 wheels available from PIP are built with Python 3.6.2 and should be compatible with all previous versions of Python 3.6. The source releases were cythonized with Cython 0.28.2 and should work for the upcoming Python 3.7. Contributors ============ A total of 1 person contributed to this release. People with a "+" by their names contributed a patch for the first time. * Charles Harris Pull requests merged ==================== A total of 2 pull requests were merged for this release. * `11274 <https://github.com/numpy/numpy/pull/11274>`__: BUG: Correct use of NPY_UNUSED. * `11294 <https://github.com/numpy/numpy/pull/11294>`__: BUG: Remove extra trailing parentheses. ========================= ``` ### 1.14.4 ``` ========================== This is a bugfix release for bugs reported following the 1.14.3 release. The most significant fixes are: * fixes for compiler instruction reordering that resulted in NaN's not being properly propagated in `np.max` and `np.min`, * fixes for bus faults on SPARC and older ARM due to incorrect alignment checks. There are also improvements to printing of long doubles on PPC platforms. All is not yet perfect on that platform, the whitespace padding is still incorrect and is to be fixed in numpy 1.15, consequently NumPy still fails some printing-related (and other) unit tests on ppc systems. However, the printed values are now correct. Note that NumPy will error on import if it detects incorrect float32 `dot` results. This problem has been seen on the Mac when working in the Anaconda enviroment and is due to a subtle interaction between MKL and PyQt5. It is not strictly a NumPy problem, but it is best that users be aware of it. See the gh-8577 NumPy issue for more information. The Python versions supported in this release are 2.7 and 3.4 - 3.6. The Python 3.6 wheels available from PIP are built with Python 3.6.2 and should be compatible with all previous versions of Python 3.6. The source releases were cythonized with Cython 0.28.2 and should work for the upcoming Python 3.7. Contributors ============ A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Allan Haldane * Charles Harris * Marten van Kerkwijk * Matti Picus * Pauli Virtanen * Ryan Soklaski + * Sebastian Berg Pull requests merged ==================== A total of 11 pull requests were merged for this release. * `11104 <https://github.com/numpy/numpy/pull/11104>`__: BUG: str of DOUBLE_DOUBLE format wrong on ppc64 * `11170 <https://github.com/numpy/numpy/pull/11170>`__: TST: linalg: add regression test for gh-8577 * `11174 <https://github.com/numpy/numpy/pull/11174>`__: MAINT: add sanity-checks to be run at import time * `11181 <https://github.com/numpy/numpy/pull/11181>`__: BUG: void dtype setup checked offset not actual pointer for alignment * `11194 <https://github.com/numpy/numpy/pull/11194>`__: BUG: Python2 doubles don't print correctly in interactive shell. * `11198 <https://github.com/numpy/numpy/pull/11198>`__: BUG: optimizing compilers can reorder call to npy_get_floatstatus * `11199 <https://github.com/numpy/numpy/pull/11199>`__: BUG: reduce using SSE only warns if inside SSE loop * `11203 <https://github.com/numpy/numpy/pull/11203>`__: BUG: Bytes delimiter/comments in genfromtxt should be decoded * `11211 <https://github.com/numpy/numpy/pull/11211>`__: BUG: Fix reference count/memory leak exposed by better testing * `11219 <https://github.com/numpy/numpy/pull/11219>`__: BUG: Fixes einsum broadcasting bug when optimize=True * `11251 <https://github.com/numpy/numpy/pull/11251>`__: DOC: Document 1.14.4 release. ========================= ``` ### 1.14.3 ``` ========================== This is a bugfix release for a few bugs reported following the 1.14.2 release: * np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15 * In python2, float types use the new print style when printing to a file * style arg in "legacy" print mode now works for 0d arrays The Python versions supported in this release are 2.7 and 3.4 - 3.6. The Python 3.6 wheels available from PIP are built with Python 3.6.2 and should be compatible with all previous versions of Python 3.6. The source releases were cythonized with Cython 0.28.2. Contributors ============ A total of 6 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Allan Haldane * Charles Harris * Jonathan March + * Malcolm Smith + * Matti Picus * Pauli Virtanen Pull requests merged ==================== A total of 8 pull requests were merged for this release. * `10862 <https://github.com/numpy/numpy/pull/10862>`__: BUG: floating types should override tp_print (1.14 backport) * `10905 <https://github.com/numpy/numpy/pull/10905>`__: BUG: for 1.14 back-compat, accept list-of-lists in fromrecords * `10947 <https://github.com/numpy/numpy/pull/10947>`__: BUG: 'style' arg to array2string broken in legacy mode (1.14... * `10959 <https://github.com/numpy/numpy/pull/10959>`__: BUG: test, fix for missing flags['WRITEBACKIFCOPY'] key * `10960 <https://github.com/numpy/numpy/pull/10960>`__: BUG: Add missing underscore to prototype in check_embedded_lapack * `10961 <https://github.com/numpy/numpy/pull/10961>`__: BUG: Fix encoding regression in ma/bench.py (Issue 10868) * `10962 <https://github.com/numpy/numpy/pull/10962>`__: BUG: core: fix NPY_TITLE_KEY macro on pypy * `10974 <https://github.com/numpy/numpy/pull/10974>`__: BUG: test, fix PyArray_DiscardWritebackIfCopy... ========================= ```
Links - PyPI: https://pypi.org/project/numpy - Changelog: https://pyup.io/changelogs/numpy/ - Homepage: http://www.numpy.org
pyup-bot commented 6 years ago

Closing this in favor of #134