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Version 0.51.0
--------------
In development
Version 0.50.1 (Jun 24, 2020)
-----------------------------
This is a bugfix release for 0.50.0, it fixes a critical bug in error reporting
and a number of other smaller issues:
* PR #5861: Added except for possible Windows get_terminal_size exception
* PR #5876: Improve undefined variable error message
* PR #5884: Update the deprecation notices for 0.50.1
* PR #5889: Fixes literally not forcing re-dispatch for inline='always'
* PR #5912: Fix bad attr access on certain typing templates breaking exceptions.
* PR #5918: Fix cuda test due to #5876
Authors:
* ``@pepping_dore``
* Lucio Fernandez-Arjona
* Siu Kwan Lam (core dev)
* Stuart Archibald (core dev)
Version 0.50.0 (Jun 10, 2020)
-----------------------------
This is a more usual release in comparison to the others that have been made in
the last six months. It comprises the result of a number of maintenance tasks
along with some new features and a lot of bug fixes.
Highlights of core feature changes include:
* The compilation chain is now based on LLVM 9.
* The error handling and reporting system has been improved to reduce the size
of error messages, and also improve quality and specificity.
* The CUDA target has more stream constructors available and a new function for
compiling to PTX without linking and loading the code to a device. Further,
the macro-based system for describing CUDA threads and blocks has been
replaced with standard typing and lowering implementations, for improved
debugging and extensibility.
IMPORTANT: The backwards compatibility shim, that was present in 0.49.x to
accommodate the refactoring of Numba's internals, has been removed. If a module
is imported from a moved location an ``ImportError`` will occur.
General Enhancements:
* PR #5060: Enables np.sum for timedelta64
* PR #5225: Adjust interpreter to make conditionals predicates via bool() call.
* PR #5506: Jitclass static methods
* PR #5580: Revert shim
* PR #5591: Fix #5525 Add figure for total memory to ``numba -s`` output.
* PR #5616: Simplify the ufunc kernel registration
* PR #5617: Remove /examples from the Numba repo.
* PR #5673: Fix inliners to run all passes on IR and clean up correctly.
* PR #5700: Make it easier to understand type inference: add SSA dump, use for
``DEBUG_TYPEINFER``
* PR #5702: Fixes for LLVM 9
* PR #5722: Improve error messages.
* PR #5758: Support NumPy 1.18
Fixes:
* PR #5390: add error handling for lookup_module
* PR #5464: Jitclass drops annotations to avoid error
* PR #5478: Fix #5471. Issue with omitted type not recognized as literal value.
* PR #5517: Fix numba.typed.List extend for singleton and empty iterable
* PR #5549: Check type getitem
* PR #5568: Add skip to entrypoint test on windows
* PR #5581: Revert #5568
* PR #5602: Fix segfault caused by pop from numba.typed.List
* PR #5645: Fix SSA redundant CFG computation
* PR #5686: Fix issue with SSA not minimal
* PR #5689: Fix bug in unified_function_type (issue 5685)
* PR #5694: Skip part of slice array analysis if any part is not analyzable.
* PR #5697: Fix usedef issue with parfor loopnest variables.
* PR #5705: A fix for cases where SSA looks like a reduction variable.
* PR #5714: Fix bug in test
* PR #5717: Initialise Numba extensions ahead of any compilation starting.
* PR #5721: Fix array iterator layout.
* PR #5738: Unbreak master on buildfarm
* PR #5757: Force LLVM to use ZMM registers for vectorization.
* PR #5764: fix flake8 errors
* PR #5768: Interval example: fix import
* PR #5781: Moving record array examples to a test module
* PR #5791: Fix up no cgroups problem
* PR #5795: Restore refct removal pass and make it strict
* PR #5807: Skip failing test on POWER8 due to PPC CTR Loop problem.
* PR #5812: Fix side issue from #5792, @overload inliner cached IR being
mutated.
* PR #5815: Pin llvmlite to 0.33
* PR #5833: Fixes the source location appearing incorrectly in error messages.
CUDA Enhancements/Fixes:
* PR #5347: CUDA: Provide more stream constructors
* PR #5388: CUDA: Fix OOB write in test_round{f4,f8}
* PR #5437: Fix #5429: Exception using ``.get_ipc_handle(...)`` on array from
``as_cuda_array(...)``
* PR #5481: CUDA: Replace macros with typing and lowering implementations
* PR #5556: CUDA: Make atomic semantics match Python / NumPy, and fix #5458
* PR #5558: CUDA: Only release primary ctx if retained
* PR #5561: CUDA: Add function for compiling to PTX (+ other small fixes)
* PR #5573: CUDA: Skip tests under cuda-memcheck that hang it
* PR #5578: Implement math.modf for CUDA target
* PR #5704: CUDA Eager compilation: Fix max_registers kwarg
* PR #5718: CUDA lib path tests: unset CUDA_PATH when CUDA_HOME unset
* PR #5800: Fix LLVM 9 IR for NVVM
* PR #5803: CUDA Update expected error messages to fix #5797
Documentation Updates:
* PR #5546: DOC: Add documentation about cost model to inlining notes.
* PR #5653: Update doc with respect to try-finally case
Enhancements from user contributed PRs (with thanks!):
* Elias Kuthe fixed in issue with imports in the Interval example in #5768
* Eric Wieser Simplified the ufunc kernel registration mechanism in #5616
* Ethan Pronovost patched a problem with ``__annotations__`` in ``jitclass`` in
#5464, fixed a bug that lead to infinite loops in Numba's ``Type.__getitem__``
in #5549, fixed a bug in ``np.arange`` testing in #5714 and added support for
``@staticmethod`` to ``jitclass`` in #5506.
* Gabriele Gemmi implemented ``math.modf`` for the CUDA target in #5578
* Graham Markall contributed many patches, largely to the CUDA target, as
follows:
* #5347: CUDA: Provide more stream constructors
* #5388: CUDA: Fix OOB write in test_round{f4,f8}
* #5437: Fix #5429: Exception using ``.get_ipc_handle(...)`` on array from
``as_cuda_array(...)``
* #5481: CUDA: Replace macros with typing and lowering implementations
* #5556: CUDA: Make atomic semantics match Python / NumPy, and fix #5458
* #5558: CUDA: Only release primary ctx if retained
* #5561: CUDA: Add function for compiling to PTX (+ other small fixes)
* #5573: CUDA: Skip tests under cuda-memcheck that hang it
* #5648: Unset the memory manager after EMM Plugin tests
* #5700: Make it easier to understand type inference: add SSA dump, use for
``DEBUG_TYPEINFER``
* #5704: CUDA Eager compilation: Fix max_registers kwarg
* #5718: CUDA lib path tests: unset CUDA_PATH when CUDA_HOME unset
* #5800: Fix LLVM 9 IR for NVVM
* #5803: CUDA Update expected error messages to fix #5797
* Guilherme Leobas updated the documentation surrounding try-finally in #5653
* Hameer Abbasi added documentation about the cost model to the notes on
inlining in #5546
* Jacques Gaudin rewrote ``numba -s`` to produce and consume a dictionary of
output about the current system in #5591
* James Bourbeau Updated min/argmin and max/argmax to handle non-leading nans
(via #5758)
* Lucio Fernandez-Arjona moved the record array examples to a test module in
#5781 and added ``np.timedelta64`` handling to ``np.sum`` in #5060
* Pearu Peterson Fixed a bug in unified_function_type in #5689
* Sergey Pokhodenko fixed an issue impacting LLVM 10 regarding vectorization
widths on Intel SkyLake processors in #5757
* Shan Sikdar added error handling for ``lookup_module`` in #5390
* @toddrme2178 add CI testing for NumPy 1.18 (via #5758)
Authors:
* Elias Kuthe
* Eric Wieser
* Ethan Pronovost
* Gabriele Gemmi
* Graham Markall
* Guilherme Leobas
* Hameer Abbasi
* Jacques Gaudin
* James Bourbeau
* Lucio Fernandez-Arjona
* Pearu Peterson
* Sergey Pokhodenko
* Shan Sikdar
* Siu Kwan Lam (core dev)
* Stuart Archibald (core dev)
* Todd A. Anderson (core dev)
* ``@toddrme2178``
* Valentin Haenel (core dev)
Version 0.49.1 (May 7, 2020)
----------------------------
This is a bugfix release for 0.49.0, it fixes some residual issues with SSA
form, a critical bug in the branch pruning logic and a number of other smaller
issues:
* PR #5587: Fixed #5586 Threading Implementation Typos
* PR #5592: Fixes #5583 Remove references to cffi_support from docs and examples
* PR #5614: Fix invalid type in resolve for comparison expr in parfors.
* PR #5624: Fix erroneous rewrite of predicate to bit const on prune.
* PR #5627: Fixes #5623, SSA local def scan based on invalid equality
assumption.
* PR #5629: Fixes naming error in array_exprs
* PR #5630: Fix #5570. Incorrect race variable detection due to SSA naming.
* PR #5638: Make literal_unroll function work as a freevar.
* PR #5648: Unset the memory manager after EMM Plugin tests
* PR #5651: Fix some SSA issues
* PR #5652: Pin to sphinx=2.4.4 to avoid problem with C declaration
* PR #5658: Fix unifying undefined first class function types issue
* PR #5669: Update example in 5m guide WRT SSA type stability.
* PR #5676: Restore ``numba.types`` as public API
Authors:
* Graham Markall
* Juan Manuel Cruz Martinez
* Pearu Peterson
* Sean Law
* Stuart Archibald (core dev)
* Siu Kwan Lam (core dev)
Version 0.49.0 (Apr 16, 2020)
-----------------------------
This release is very large in terms of code changes. Large scale removal of
unsupported Python and NumPy versions has taken place along with a significant
amount of refactoring to simplify the Numba code base to make it easier for
contributors. Numba's intermediate representation has also undergone some
important changes to solve a number of long standing issues. In addition some
new features have been added and a large number of bugs have been fixed!
IMPORTANT: In this release Numba's internals have moved about a lot. A backwards
compatibility "shim" is provided for this release so as to not immediately break
projects using Numba's internals. If a module is imported from a moved location
the shim will issue a deprecation warning and suggest how to update the import
statement for the new location. The shim will be removed in 0.50.0!
Highlights of core feature changes include:
* Removal of all Python 2 related code and also updating the minimum supported
Python version to 3.6, the minimum supported NumPy version to 1.15 and the
minimum supported SciPy version to 1.0. (Stuart Archibald).
* Refactoring of the Numba code base. The code is now organised into submodules
by functionality. This cleans up Numba's top level namespace.
(Stuart Archibald).
* Introduction of an ``ir.Del`` free static single assignment form for Numba's
intermediate representation (Siu Kwan Lam and Stuart Archibald).
* An OpenMP-like thread masking API has been added for use with code using the
parallel CPU backends (Aaron Meurer and Stuart Archibald).
* For the CUDA target, all kernel launches now require a configuration, this
preventing accidental launches of kernels with the old default of a single
thread in a single block. The hard-coded autotuner is also now removed, such
tuning is deferred to CUDA API calls that provide the same functionality
(Graham Markall).
* The CUDA target also gained an External Memory Management plugin interface to
allow Numba to use another CUDA-aware library for all memory allocations and
deallocations (Graham Markall).
* The Numba Typed List container gained support for construction from iterables
(Valentin Haenel).
* Experimental support was added for first-class function types
(Pearu Peterson).
Enhancements from user contributed PRs (with thanks!):
* Aaron Meurer added support for thread masking at runtime in #4615.
* Andreas Sodeur fixed a long standing bug that was preventing ``cProfile`` from
working with Numba JIT compiled functions in #4476.
* Arik Funke fixed error messages in ``test_array_reductions`` (#5278), fixed
an issue with test discovery (#5239), made it so the documentation would build
again on windows (#5453) and fixed a nested list problem in the docs in #5489.
* Antonio Russo fixed a SyntaxWarning in #5252.
* Eric Wieser added support for inferring the types of object arrays (#5348) and
iterating over 2D arrays (#5115), also fixed some compiler warnings due to
missing (void) in #5222. Also helped improved the "shim" and associated
warnings in #5485, #5488, #5498 and partly #5532.
* Ethan Pronovost fixed a problem with the shim erroneously warning for jitclass
use in #5454 and also prevented illegal return values in jitclass ``__init__``
in #5505.
* Gabriel Majeri added SciPy 2019 talks to the docs in #5106.
* Graham Markall changed the Numba HTML documentation theme to resolve a number
of long standing issues in #5346. Also contributed were a large number of CUDA
enhancements and fixes, namely:
* #5519: CUDA: Silence the test suite - Fix #4809, remove autojit, delete
prints
* #5443: Fix #5196: Docs: assert in CUDA only enabled for debug
* #5436: Fix #5408: test_set_registers_57 fails on Maxwell
* #5423: Fix #5421: Add notes on printing in CUDA kernels
* #5400: Fix #4954, and some other small CUDA testsuite fixes
* #5328: NBEP 7: External Memory Management Plugin Interface
* #5144: Fix #4875: Make #2655 test with debug expect to pass
* #5323: Document lifetime semantics of CUDA Array Interface
* #5061: Prevent kernel launch with no configuration, remove autotuner
* #5099: Fix #5073: Slices of dynamic shared memory all alias
* #5136: CUDA: Enable asynchronous operations on the default stream
* #5085: Support other itemsizes with view
* #5059: Docs: Explain how to use Memcheck with Numba, fixups in CUDA
documentation
* #4957: Add notes on overwriting gufunc inputs to docs
* Greg Jennings fixed an issue with ``np.random.choice`` not acknowledging the
RNG seed correctly in #3897/#5310.
* Guilherme Leobas added support for ``np.isnat`` in #5293.
* Henry Schreiner made the llvmlite requirements more explicit in
requirements.txt in #5150.
* Ivan Butygin helped fix an issue with parfors sequential lowering in
#5114/#5250.
* Jacques Gaudin fixed a bug for Python >= 3.8 in ``numba -s`` in #5548.
* Jim Pivarski added some hints for debugging entry points in #5280.
* John Kirkham added ``numpy.dtype`` coercion for the ``dtype`` argument to CUDA
device arrays in #5252.
* Leo Fang added a list of libraries that support ``__cuda_array_interface__``
in #5104.
* Lucio Fernandez-Arjona added ``getitem`` for the NumPy record type when the
index is a ``StringLiteral`` type in #5182 and improved the documentation
rendering via additions to the TOC and removal of numbering in #5450.
* Mads R. B. Kristensen fixed an issue with ``__cuda_array_interface__`` not
requiring the context in #5189.
* Marcin Tolysz added support for nested modules in AOT compilation in #5174.
* Mike Williams fixed some issues with NumPy records and ``getitem`` in the CUDA
simulator in #5343.
* Pearu Peterson added experimental support for first-class function types in
#5287 (and fixes in #5459, #5473/#5429, and #5557).
* Ravi Teja Gutta added support for ``np.flip`` in #4376/#5313.
* Rohit Sanjay fixed an issue with type refinement for unicode input supplied to
typed-list ``extend()`` (#5295) and fixed unicode ``.strip()`` to strip all
whitespace characters in #5213.
* Vladimir Lukyanov fixed an awkward bug in ``typed.dict`` in #5361, added a fix
to ensure the LLVM and assembly dumps are highlighted correctly in #5357 and
implemented a Numba IR Lexer and added highlighting to Numba IR dumps in
#5333.
* hdf fixed an issue with the ``boundscheck`` flag in the CUDA jit target in
#5257.
General Enhancements:
* PR #4615: Allow masking threads out at runtime
* PR #4798: Add branch pruning based on raw predicates.
* PR #5115: Add support for iterating over 2D arrays
* PR #5117: Implement ord()/chr()
* PR #5122: Remove Python 2.
* PR #5127: Calling convention adaptor for boxer/unboxer to call jitcode
* PR #5151: implement None-typed typed-list
* PR #5174: Nested modules https://github.com/numba/numba/issues/4739
* PR #5182: Add getitem for Record type when index is StringLiteral
* PR #5185: extract code-gen utilities from closures
* PR #5197: Refactor Numba, part I
* PR #5210: Remove more unsupported Python versions from build tooling.
* PR #5212: Adds support for viewing the CFG of the ELF disassembly.
* PR #5227: Immutable typed-list
* PR #5231: Added support for ``np.asarray`` to be used with
``numba.typed.List``
* PR #5235: Added property ``dtype`` to ``numba.typed.List``
* PR #5272: Refactor parfor: split up ParforPass
* PR #5281: Make IR ir.Del free until legalized.
* PR #5287: First-class function type
* PR #5293: np.isnat
* PR #5294: Create typed-list from iterable
* PR #5295: refine typed-list on unicode input to extend
* PR #5296: Refactor parfor: better exception from passes
* PR #5308: Provide ``numba.extending.is_jitted``
* PR #5320: refactor array_analysis
* PR #5325: Let literal_unroll accept types.Named*Tuple
* PR #5330: refactor common operation in parfor lowering into a new util
* PR #5333: Add: highlight Numba IR dump
* PR #5342: Support for tuples passed to parfors.
* PR #5348: Add support for inferring the types of object arrays
* PR #5351: SSA again
* PR #5352: Add shim to accommodate refactoring.
* PR #5356: implement allocated parameter in njit
* PR #5369: Make test ordering more consistent across feature availability
* PR #5428: Wip/deprecate jitclass location
* PR #5441: Additional changes to first class function
* PR #5455: Move to llvmlite 0.32.*
* PR #5457: implement repr for untyped lists
Fixes:
* PR #4476: Another attempt at fixing frame injection in the dispatcher tracing
path
* PR #4942: Prevent some parfor aliasing. Rename copied function var to prevent
recursive type locking.
* PR #5092: Fix 5087
* PR #5150: More explicit llvmlite requirement in requirements.txt
* PR #5172: fix version spec for llvmlite
* PR #5176: Normalize kws going into fold_arguments.
* PR #5183: pass 'inline' explicitly to overload
* PR #5193: Fix CI failure due to missing files when installed
* PR #5213: Fix ``.strip()`` to strip all whitespace characters
* PR #5216: Fix namedtuple mistreated by dispatcher as simple tuple
* PR #5222: Fix compiler warnings due to missing (void)
* PR #5232: Fixes a bad import that breaks master
* PR #5239: fix test discovery for unittest
* PR #5247: Continue PR #5126
* PR #5250: Part fix/5098
* PR #5252: Trivially fix SyntaxWarning
* PR #5276: Add prange variant to has_no_side_effect.
* PR #5278: fix error messages in test_array_reductions
* PR #5310: PR #3897 continued
* PR #5313: Continues PR #4376
* PR #5318: Remove AUTHORS file reference from MANIFEST.in
* PR #5327: Add warning if FNV hashing is found as the default for CPython.
* PR #5338: Remove refcount pruning pass
* PR #5345: Disable test failing due to removed pass.
* PR #5357: Small fix to have llvm and asm highlighted properly
* PR #5361: 5081 typed.dict
* PR #5431: Add tolerance to numba extension module entrypoints.
* PR #5432: Fix code causing compiler warnings.
* PR #5445: Remove undefined variable
* PR #5454: Don't warn for numba.experimental.jitclass
* PR #5459: Fixes issue 5448
* PR #5480: Fix for #5477, literal_unroll KeyError searching for getitems
* PR #5485: Show the offending module in "no direct replacement" error message
* PR #5488: Add missing ``numba.config`` shim
* PR #5495: Fix missing null initializer for variable after phi strip
* PR #5498: Make the shim deprecation warnings work on python 3.6 too
* PR #5505: Better error message if __init__ returns value
* PR #5527: Attempt to fix #5518
* PR #5529: PR #5473 continued
* PR #5532: Make ``numba.<mod>`` available without an import
* PR #5542: Fixes RC2 module shim bug
* PR #5548: Fix #5537 Removed reference to ``platform.linux_distribution``
* PR #5555: Fix #5515 by reverting changes to ArrayAnalysis
* PR #5557: First-class function call cannot use keyword arguments
* PR #5569: Fix RewriteConstGetitems not registering calltype for new expr
* PR #5571: Pin down llvmlite requirement
CUDA Enhancements/Fixes:
* PR #5061: Prevent kernel launch with no configuration, remove autotuner
* PR #5085: Support other itemsizes with view
* PR #5099: Fix #5073: Slices of dynamic shared memory all alias
* PR #5104: Add a list of libraries that support __cuda_array_interface__
* PR #5136: CUDA: Enable asynchronous operations on the default stream
* PR #5144: Fix #4875: Make #2655 test with debug expect to pass
* PR #5189: __cuda_array_interface__ not requiring context
* PR #5253: Coerce ``dtype`` to ``numpy.dtype``
* PR #5257: boundscheck fix
* PR #5319: Make user facing error string use abs path not rel.
* PR #5323: Document lifetime semantics of CUDA Array Interface
* PR #5328: NBEP 7: External Memory Management Plugin Interface
* PR #5343: Fix cuda spoof
* PR #5400: Fix #4954, and some other small CUDA testsuite fixes
* PR #5436: Fix #5408: test_set_registers_57 fails on Maxwell
* PR #5519: CUDA: Silence the test suite - Fix #4809, remove autojit, delete
prints
Documentation Updates:
* PR #4957: Add notes on overwriting gufunc inputs to docs
* PR #5059: Docs: Explain how to use Memcheck with Numba, fixups in CUDA
documentation
* PR #5106: Add SciPy 2019 talks to docs
* PR #5147: Update master for 0.48.0 updates
* PR #5155: Explain what inlining at Numba IR level will do
* PR #5161: Fix README.rst formatting
* PR #5207: Remove AUTHORS list
* PR #5249: fix target path for See also
* PR #5262: fix typo in inlining docs
* PR #5270: fix 'see also' in typeddict docs
* PR #5280: Added some hints for debugging entry points.
* PR #5297: Update docs with intro to {g,}ufuncs.
* PR #5326: Update installation docs with OpenMP requirements.
* PR #5346: Docs: use sphinx_rtd_theme
* PR #5366: Remove reference to Python 2.7 in install check output
* PR #5423: Fix #5421: Add notes on printing in CUDA kernels
* PR #5438: Update package deps for doc building.
* PR #5440: Bump deprecation notices.
* PR #5443: Fix #5196: Docs: assert in CUDA only enabled for debug
* PR #5450: Docs: remove numbers and add titles to TOC
* PR #5453: fix building docs on windows
* PR #5489: docs: fix rendering of nested bulleted list
CI updates:
* PR #5314: Update the image used in Azure CI for OSX.
* PR #5360: Remove Travis CI badge.
Authors:
* Aaron Meurer
* Andreas Sodeur
* Antonio Russo
* Arik Funke
* Eric Wieser
* Ethan Pronovost
* Gabriel Majeri
* Graham Markall
* Greg Jennings
* Guilherme Leobas
* hdf
* Henry Schreiner
* Ivan Butygin
* Jacques Gaudin
* Jim Pivarski
* John Kirkham
* Leo Fang
* Lucio Fernandez-Arjona
* Mads R. B. Kristensen
* Marcin Tolysz
* Mike Williams
* Pearu Peterson
* Ravi Teja Gutta
* Rohit Sanjay
* Siu Kwan Lam (core dev)
* Stan Seibert (core dev)
* Stuart Archibald (core dev)
* Todd A. Anderson (core dev)
* Valentin Haenel (core dev)
* Vladimir Lukyanov
Version 0.48.0 (Jan 27, 2020)
-----------------------------
This release is particularly small as it was present to catch anything that
missed the 0.47.0 deadline (the deadline deliberately coincided with the end of
support for Python 2.7). The next release will be considerably larger.
The core changes in this release are dominated by the start of the clean up
needed for the end of Python 2.7 support, improvements to the CUDA target and
support for numerous additional unicode string methods.
Enhancements from user contributed PRs (with thanks!):
* Brian Wignall fixed more spelling typos in #4998.
* Denis Smirnov added support for string methods ``capitalize`` (#4823),
``casefold`` (#4824), ``swapcase`` (#4825), ``rsplit`` (#4834), ``partition``
(#4845) and ``splitlines`` (#4849).
* Elena Totmenina extended support for string methods ``startswith`` (#4867) and
added ``endswith`` (#4868).
* Eric Wieser made ``type_callable`` return the decorated function itself in
#4760
* Ethan Pronovost added support for ``np.argwhere`` in #4617
* Graham Markall contributed a large number of CUDA enhancements and fixes,
namely:
* #5068: Remove Python 3.4 backports from utils
* #4975: Make ``device_array_like`` create contiguous arrays (Fixes #4832)
* #5023: Don't launch ForAll kernels with 0 elements (Fixes #5017)
* #5016: Fix various issues in CUDA library search (Fixes #4979)
* #5014: Enable use of records and bools for shared memory, remove ddt, add
additional transpose tests
* #4964: Fix #4628: Add more appropriate typing for CUDA device arrays
* #5007: test_consuming_strides: Keep dev array alive
* #4997: State that CUDA Toolkit 8.0 required in docs
* James Bourbeau added the Python 3.8 classifier to setup.py in #5027.
* John Kirkham added a clarification to the ``__cuda_array_interface__``
documentation in #5049.
* Leo Fang Fixed an indexing problem in ``dummyarray`` in #5012.
* Marcel Bargull fixed a build and test issue for Python 3.8 in #5029.
* Maria Rubtsov added support for string methods ``isdecimal`` (#4842),
``isdigit`` (#4843), ``isnumeric`` (#4844) and ``replace`` (#4865).
General Enhancements:
* PR #4760: Make type_callable return the decorated function
* PR #5010: merge string prs
This merge PR included the following:
* PR #4823: Implement str.capitalize() based on CPython
* PR #4824: Implement str.casefold() based on CPython
* PR #4825: Implement str.swapcase() based on CPython
* PR #4834: Implement str.rsplit() based on CPython
* PR #4842: Implement str.isdecimal
* PR #4843: Implement str.isdigit
* PR #4844: Implement str.isnumeric
* PR #4845: Implement str.partition() based on CPython
* PR #4849: Implement str.splitlines() based on CPython
* PR #4865: Implement str.replace
* PR #4867: Functionality extension str.startswith() based on CPython
* PR #4868: Add functionality for str.endswith()
* PR #5039: Disable help messages.
* PR #4617: Add coverage for ``np.argwhere``
Fixes:
* PR #4724: Only use lives (and not aliases) to create post parfor live set.
* PR #4998: Fix more spelling typos
* PR #5024: Propagate semantic constants ahead of static rewrites.
* PR #5027: Add Python 3.8 classifier to setup.py
* PR #5046: Update setup.py and buildscripts for dependency requirements
* PR #5053: Convert from arrays to names in define() and don't invalidate for
multiple consistent defines.
* PR #5058: Permit mixed int types in wrap_index
* PR #5078: Catch the use of global typed-list in JITed functions
* PR #5092: Fix #5087, bug in bytecode analysis.
CUDA Enhancements/Fixes:
* PR #4964: Fix #4628: Add more appropriate typing for CUDA device arrays
* PR #4975: Make ``device_array_like`` create contiguous arrays (Fixes #4832)
* PR #4997: State that CUDA Toolkit 8.0 required in docs
* PR #5007: test_consuming_strides: Keep dev array alive
* PR #5012: Fix IndexError when accessing the "-1" element of dummyarray
* PR #5014: Enable use of records and bools for shared memory, remove ddt, add
additional transpose tests
* PR #5016: Fix various issues in CUDA library search (Fixes #4979)
* PR #5023: Don't launch ForAll kernels with 0 elements (Fixes #5017)
* PR #5068: Remove Python 3.4 backports from utils
Documentation Updates:
* PR #5049: Clarify what dictionary means
* PR #5062: Update docs for updated version requirements
* PR #5090: Update deprecation notices for 0.48.0
CI updates:
* PR #5029: Install optional dependencies for Python 3.8 tests
* PR #5040: Drop Py2.7 and Py3.5 from public CI
* PR #5048: Fix CI py38
Authors:
* Brian Wignall
* Denis Smirnov
* Elena Totmenina
* Eric Wieser
* Ethan Pronovost
* Graham Markall
* James Bourbeau
* John Kirkham
* Leo Fang
* Marcel Bargull
* Maria Rubtsov
* Siu Kwan Lam (core dev)
* Stan Seibert (core dev)
* Stuart Archibald (core dev)
* Todd A. Anderson (core dev)
* Valentin Haenel (core dev)
Version 0.47.0 (Jan 2, 2020)
-----------------------------
This release expands the capability of Numba in a number of important areas and
is also significant as it is the last major point release with support for
Python 2 and Python 3.5 included. The next release (0.48.0) will be for Python
3.6+ only! (This follows NumPy's deprecation schedule as specified in
`NEP 29 <https://numpy.org/neps/nep-0029-deprecation_policy.html>`_.)
Highlights of core feature changes include:
* Full support for Python 3.8 (Siu Kwan Lam)
* Opt-in bounds checking (Aaron Meurer)
* Support for ``map``, ``filter`` and ``reduce`` (Stuart Archibald)
Intel also kindly sponsored research and development that lead to some exciting
new features:
* Initial support for basic ``try``/``except`` use (Siu Kwan Lam)
* The ability to pass functions created from closures/lambdas as arguments
(Stuart Archibald)
* ``sorted`` and ``list.sort()`` now accept the ``key`` argument (Stuart
Archibald and Siu Kwan Lam)
* A new compiler pass triggered through the use of the function
``numba.literal_unroll`` which permits iteration over heterogeneous tuples
and constant lists of constants. (Stuart Archibald)
Enhancements from user contributed PRs (with thanks!):
* Ankit Mahato added a reference to a new talk on Numba at PyCon India 2019 in
#4862
* Brian Wignall kindly fixed some spelling mistakes and typos in #4909
* Denis Smirnov wrote numerous methods to considerable enhance string support
including:
* ``str.rindex()`` in #4861
* ``str.isprintable()`` in #4836
* ``str.index()`` in #4860
* ``start/end`` parameters for ``str.find()`` in #4866
* ``str.isspace()`` in #4835
* ``str.isidentifier()`` #4837
* ``str.rpartition()`` in #4841
* ``str.lower()`` and ``str.islower()`` in #4651
* Elena Totmenina implemented both ``str.isalnum()``, ``str.isalpha()`` and
``str.isascii`` in #4839, #4840 and #4847 respectively.
* Eric Larson fixed a bug in literal comparison in #4710
* Ethan Pronovost updated the ``np.arange`` implementation in #4770 to allow
the use of the ``dtype`` key word argument and also added ``bool``
implementations for several types in #4715.
* Graham Markall fixed some issues with the CUDA target, namely:
* #4931: Added physical limits for CC 7.0 / 7.5 to CUDA autotune
* #4934: Fixed bugs in TestCudaWarpOperations
* #4938: Improved errors / warnings for the CUDA vectorize decorator
* Guilherme Leobas fixed a typo in the ``urem`` implementation in #4667
* Isaac Virshup contributed a number of patches that fixed bugs, added support
for more NumPy functions and enhanced Python feature support. These
contributions included:
* #4729: Allow array construction with mixed type shape tuples
* #4904: Implementing ``np.lcm``
* #4780: Implement np.gcd and math.gcd
* #4779: Make slice constructor more similar to python.
* #4707: Added support for slice.indices
* #4578: Clarify numba ufunc supported features
* James Bourbeau fixed some issues with tooling, #4794 add ``setuptools`` as a
dependency and #4501 add pre-commit hooks for ``flake8`` compliance.
* Leo Fang made ``numba.dummyarray.Array`` iterable in #4629
* Marc Garcia fixed the ``numba.jit`` parameter name signature_or_function in
#4703
* Marcelo Duarte Trevisani patched the llvmlite requirement to ``>=0.30.0`` in
#4725
* Matt Cooper fixed a long standing CI problem in #4737 by remove maxParallel
* Matti Picus fixed an issue with ``collections.abc`` in #4734
from Azure Pipelines.
* Rob Ennis patched a bug in ``np.interp`` ``float32`` handling in #4911
* VDimir fixed a bug in array transposition layouts in #4777 and re-enabled and
fixed some idle tests in #4776.
* Vyacheslav Smirnov Enable support for `str.istitle()`` in #4645
General Enhancements:
* PR #4432: Bounds checking
* PR #4501: Add pre-commit hooks
* PR #4536: Handle kw args in inliner when callee is a function
* PR #4599: Permits closures to become functions, enables map(), filter()
* PR #4611: Implement method title() for unicode based on Cpython
* PR #4645: Enable support for istitle() method for unicode string
* PR #4651: Implement str.lower() and str.islower()
* PR #4652: Implement str.rfind()
* PR #4695: Refactor `overload*` and support `jit_options` and `inline`
* PR #4707: Added support for slice.indices
* PR #4715: Add `bool` overload for several types
* PR #4729: Allow array construction with mixed type shape tuples
* PR #4755: Python3.8 support
* PR #4756: Add parfor support for ndarray.fill.
* PR #4768: Update typeconv error message to ask for sys.executable.
* PR #4770: Update `np.arange` implementation with `@overload`
* PR #4779: Make slice constructor more similar to python.
* PR #4780: Implement np.gcd and math.gcd
* PR #4794: Add setuptools as a dependency
* PR #4802: put git hash into build string
* PR #4803: Better compiler error messages for improperly used reduction
variables.
* PR #4817: Typed list implement and expose allocation
* PR #4818: Typed list faster copy
* PR #4835: Implement str.isspace() based on CPython
* PR #4836: Implement str.isprintable() based on CPython
* PR #4837: Implement str.isidentifier() based on CPython
* PR #4839: Implement str.isalnum() based on CPython
* PR #4840: Implement str.isalpha() based on CPython
* PR #4841: Implement str.rpartition() based on CPython
* PR #4847: Implement str.isascii() based on CPython
* PR #4851: Add graphviz output for FunctionIR
* PR #4854: Python3.8 looplifting
* PR #4858: Implement str.expandtabs() based on CPython
* PR #4860: Implement str.index() based on CPython
* PR #4861: Implement str.rindex() based on CPython
* PR #4866: Support params start/end for str.find()
* PR #4874: Bump to llvmlite 0.31
* PR #4896: Specialise arange dtype on arch + python version.
* PR #4902: basic support for try except
* PR #4904: Implement np.lcm
* PR #4910: loop canonicalisation and type aware tuple unroller/loop body
versioning passes
* PR #4961: Update hash(tuple) for Python 3.8.
* PR #4977: Implement sort/sorted with key.
* PR #4987: Add `is_internal` property to all Type classes.
Fixes:
* PR #4090: Update to LLVM8 memset/memcpy intrinsic
* PR #4582: Convert sub to add and div to mul when doing the reduction across
the per-thread reduction array.
* PR #4648: Handle 0 correctly as slice parameter.
* PR #4660: Remove multiply defined variables from all blocks' equivalence sets.
* PR #4672: Fix pickling of dufunc
* PR #4710: BUG: Comparison for literal
* PR #4718: Change get_call_table to support intermediate Vars.
* PR #4725: Requires llvmlite >=0.30.0
* PR #4734: prefer to import from collections.abc
* PR #4736: fix flake8 errors
* PR #4776: Fix and enable idle tests from test_array_manipulation
* PR #4777: Fix transpose output array layout
* PR #4782: Fix issue with SVML (and knock-on function resolution effects).
* PR #4785: Treat 0d arrays like scalars.
* PR #4787: fix missing incref on flags
* PR #4789: fix typos in numba/targets/base.py
* PR #4791: fix typos
* PR #4811: fix spelling in now-failing tests
* PR #4852: windowing test should check equality only up to double precision
errors
* PR #4881: fix refining list by using extend on an iterator
* PR #4882: Fix return type in arange and zero step size handling.
* PR #4885: suppress spurious RuntimeWarning about ufunc sizes
* PR #4891: skip the xfail test for now. Py3.8 CFG refactor seems to have
changed the test case
* PR #4892: regex needs to accept singular form of "argument"
* PR #4901: fix typed list equals
* PR #4909: Fix some spelling typos
* PR #4911: np.interp bugfix for float32 handling
* PR #4920: fix creating list with JIT disabled
* PR #4921: fix creating dict with JIT disabled
* PR #4935: Better handling of prange with multiple reductions on the same
variable.
* PR #4946: Improve the error message for `raise <string>`.
* PR #4955: Move overload of literal_unroll to avoid circular dependency that
breaks Python 2.7
* PR #4962: Fix test error on windows
* PR #4973: Fixes a bug in the relabelling logic in literal_unroll.
* PR #4978: Fix overload_method problem with stararg
* PR #4981: Add ind_to_const to enable fewer equivalence classes.
* PR #4991: Continuation of #4588 (Let dead code removal handle removing more of
the unneeded code after prange conversion to parfor)
* PR #4994: Remove xfail for test which has since had underlying issue fixed.
* PR #5018: Fix #5011.
* PR #5019: skip pycc test on Python 3.8 + macOS because of distutils issue
CUDA Enhancements/Fixes:
* PR #4629: Make numba.dummyarray.Array iterable
* PR #4675: Bump cuda array interface to version 2
* PR #4741: Update choosing the "CUDA_PATH" for windows
* PR #4838: Permit ravel('A') for contig device arrays in CUDA target
* PR #4931: Add physical limits for CC 7.0 / 7.5 to autotune
* PR #4934: Fix fails in TestCudaWarpOperations
* PR #4938: Improve errors / warnings for cuda vectorize decorator
Documentation Updates:
* PR #4418: Directed graph task roadmap
* PR #4578: Clarify numba ufunc supported features
* PR #4655: fix sphinx build warning
* PR #4667: Fix typo on urem implementation
* PR #4669: Add link to ParallelAccelerator paper.
* PR #4703: Fix numba.jit parameter name signature_or_function
* PR #4862: Addition of PyCon India 2019 talk on Numba
* PR #4947: Document jitclass with numba.typed use.
* PR #4958: Add docs for `try..except`
* PR #4993: Update deprecations for 0.47
CI Updates:
* PR #4737: remove maxParallel from Azure Pipelines
* PR #4767: pin to 2.7.16 for py27 on osx
* PR #4781: WIP/runtest cf pytest
Authors:
* Aaron Meurer
* Ankit Mahato
* Brian Wignall
* Denis Smirnov
* Ehsan Totoni (core dev)
* Elena Totmenina
* Eric Larson
* Ethan Pronovost
* Giovanni Cavallin
* Graham Markall
* Guilherme Leobas
* Isaac Virshup
* James Bourbeau
* Leo Fang
* Marc Garcia
* Marcelo Duarte Trevisani
* Matt Cooper
* Matti Picus
* Rob Ennis
* Rujal Desai
* Siu Kwan Lam (core dev)
* Stan Seibert (core dev)
* Stuart Archibald (core dev)
* Todd A. Anderson (core dev)
* VDimir
* Valentin Haenel (core dev)
* Vyacheslav Smirnov
Version 0.46.0
--------------
This release significantly reworked one of the main parts of Numba, the compiler
pipeline, to make it more extensible and easier to use. The purpose of this was
to continue enhancing Numba's ability for use as a compiler toolkit. In a
similar vein, Numba now has an extension registration mechanism to allow other
Numba-using projects to automatically have their Numba JIT compilable functions
discovered. There were also a number of other related compiler toolkit
enhancement added along with some more NumPy features and a lot of bug fixes.
This release has updated the CUDA Array Interface specification to version 2,
which clarifies the `strides` attribute for C-contiguous arrays and specifies
the treatment for zero-size arrays. The implementation in Numba has been
changed and may affect downstream packages relying on the old behavior
(see issue #4661).
Enhancements from user contributed PRs (with thanks!):
* Aaron Meurer fixed some Python issues in the code base in #4345 and #4341.
* Ashwin Srinath fixed a CUDA performance bug via #4576.
* Ethan Pronovost added support for triangular indices functions in #4601 (the
NumPy functions ``tril_indices``, ``tril_indices_from``, ``triu_indices``, and
``triu_indices_from``).
* Gerald Dalley fixed a tear down race occurring in Python 2.
* Gregory R. Lee fixed the use of deprecated ``inspect.getargspec``.
* Guilherme Leobas contributed five PRs, adding support for ``np.append`` and
``np.count_nonzero`` in #4518 and #4386. The typed List was fixed to accept
unsigned integers in #4510. #4463 made a fix to NamedTuple internals and #4397
updated the docs for ``np.sum``.
* James Bourbeau added a new feature to permit the automatic application of the
`jit` decorator to a whole module in #4331. Also some small fixes to the docs
and the code base were made in #4447 and #4433, and a fix to inplace array
operation in #4228.
* Jim Crist fixed a bug in the rendering of patched errors in #4464.
* Leo Fang updated the CUDA Array Interface contract in #4609.
* Pearu Peterson added support for Unicode based NumPy arrays in #4425.
* Peter Andreas Entschev fixed a CUDA concurrency bug in #4581.
* Lucio Fernandez-Arjona extended Numba's ``np.sum`` support to now accept the
``dtype`` kwarg in #4472.
* Pedro A. Morales Maries added support for ``np.cross`` in #4128 and also added
the necessary extension ``numba.numpy_extensions.cross2d`` in #4595.
* David Hoese, Eric Firing, Joshua Adelman, and Juan Nunez-Iglesias all made
documentation fixes in #4565, #4482, #4455, #4375 respectively.
* Vyacheslav Smirnov and Rujal Desai enabled support for ``count()`` on unicode
strings in #4606.
General Enhancements:
* PR #4113: Add rewrite for semantic constants.
* PR #4128: Add np.cross support
* PR #4162: Make IR comparable and legalize it.
* PR #4208: R&D inlining, jitted and overloaded.
* PR #4331: Automatic JIT of called functions
* PR #4353: Inspection tool to check what numba supports
* PR #4386: Implement np.count_nonzero
* PR #4425: Unicode array support
* PR #4427: Entrypoints for numba extensions
* PR #4467: Literal dispatch
* PR #4472: Allow dtype input argument in np.sum
* PR #4513: New compiler.
* PR #4518: add support for np.append
* PR #4554: Refactor NRT C-API
* PR #4556: 0.46 scheduled deprecations
* PR #4567: Add env var to disable performance warnings.
* PR #4568: add np.array_equal support
* PR #4595: Implement numba.cross2d
* PR #4601: Add triangular indices functions
* PR #4606: Enable support for count() method for unicode string
Fixes:
* PR #4228: Fix inplace operator error for arrays
* PR #4282: Detect and raise unsupported on generator expressions
* PR #4305: Don't allow the allocation of mutable objects written into a
container to be hoisted.
* PR #4311: Avoid deprecated use of inspect.getargspec
* PR #4328: Replace GC macro with function call
* PR #4330: Loosen up typed container casting checks
* PR #4341: Fix some coding lines at the top of some files (utf8 -> utf-8)
* PR #4345: Replace "import \*" with explicit imports in numba/types
* PR #4346: Fix incorrect alg in isupper for ascii strings.
* PR #4349: test using jitclass in typed-list
* PR #4361: Add allocation hoisting info to LICM section at diagnostic L4
* PR #4366: Offset search box to avoid wrapping on some pages with Safari.
Fixes #4365.
* PR #4372: Replace all "except BaseException" with "except Exception".
* PR #4407: Restore the "free" conda channel for NumPy 1.10 support.
* PR #4408: Add lowering for constant bytes.
* PR #4409: Add exception chaining for better error context
* PR #4411: Name of type should not contain user facing description for debug.
* PR #4412: Fix #4387. Limit the number of return types for recursive functions
* PR #4426: Fixed two module teardown races in py2.
* PR #4431: Fix and test numpy.random.random_sample(n) for np117
* PR #4463: NamedTuple - Raises an error on non-iterable elements
* PR #4464: Add a newline in patched errors
* PR #4474: Fix liveness for remove dead of parfors (and other IR extensions)
* PR #4510: Make List.__getitem__ accept unsigned parameters
* PR #4512: Raise specific error at typing time for iteration on >1D array.
* PR #4532: Fix static_getitem with Literal type as index
* PR #4547: Update to inliner cost model information.
* PR #4557: Use specific random number seed when generating arbitrary test data
* PR #4559: Adjust test timeouts
* PR #4564: Skip unicode array tests on ppc64le that trigger an LLVM bug
* PR #4621: Fix packaging issue due to missing numba/cext
* PR #4623: Fix issue 4520 due to storage model mismatch
* PR #4644: Updates for llvmlite 0.30.0
CUDA Enhancements/Fixes:
* PR #4410: Fix #4111. cudasim mishandling recarray
* PR #4576: Replace use of `np.prod` with `functools.reduce` for computing size
from shape
* PR #4581: Prevent taking the GIL in ForAll
* PR #4592: Fix #4589. Just pass NULL for b2d_func for constant dynamic
sharedmem
* PR #4609: Update CUDA Array Interface & Enforce Numba compliance
* PR #4619: Implement math.{degrees, radians} for the CUDA target.
* PR #4675: Bump cuda array interface to version 2
Documentation Updates:
* PR #4317: Add docs for ARMv8/AArch64
* PR #4318: Add supported platforms to the docs. Closes #4316
* PR #4375: Add docstrings to inspect methods
* PR #4388: Update Python 2.7 EOL statement