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File python-awkward.changes of Package python-awkward (Revision 8c4653a36c9005123bbc8ff50272e4f8)

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Thu May  4 16:29:51 UTC 2023 - Atri Bhattacharya <badshah400@gmail.com>

- Update required version for python-awkward-cpp to 15.

-------------------------------------------------------------------
Fri Apr 28 06:48:19 UTC 2023 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 2.1.4:
  * feat: raise error for out-of-bounds axis in ak.cartesian
    (gh#scikit-hep/awkward#2411).
  * feat: make ak.numba.GrowableBuffer visible
    (gh#scikit-hep/awkward#2403).
  * fix: unify C++ and Python GrowableBuffer::extend algorithm
    (gh#scikit-hep/awkward#2396).
  * fix: return empty list if broadcasting no arrays
    (gh#scikit-hep/awkward#2407).
  * fix: only convert NEP18 arguments to layouts if required
    (gh#scikit-hep/awkward#2409).
  * fix: partially fix string broadcasting
    (gh#scikit-hep/awkward#2410).
  * fix: correctly convert unknown scalar from kernel to a length
    (gh#scikit-hep/awkward#2417).
  * fix: support unknown lengths when broadcasting unions
    (gh#scikit-hep/awkward#2418).
  * fix: consistently set a resize default value to 8 - that is
    passed to GrowableBuffer (gh#scikit-hep/awkward#2421).
  * fix: is_equal_to bug in UnionArray
    (gh#scikit-hep/awkward#2426).
  * fix: handle reordered contents in ak.almost_equal
    (gh#scikit-hep/awkward#2424).
  * fix: typetracer nplike.repeat & ak.with_field
    (gh#scikit-hep/awkward#2429).
  * refactor: add custom axis error (gh#scikit-hep/awkward#2412).

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Sun Apr 23 20:26:58 UTC 2023 - Dirk Müller <dmueller@suse.com>

- update to 2.1.3:
  * fix: support empty records in ak.with_field by @agoose77 in #2387
  * fix: only format exception for primary context
  * fix: only touch data in nplike.asarray if copy is required
  * fix: update GrowableBuffer::move_to algorithm
  * fix: don't touch for ascontiguousarray
  * feat: use cppyy for JIT
  * feat!: rename cpptype
  * feat: implemented GrowableBuffer in Numba as a start toward LayoutBuilder
  * feat: add to_backend to ak.record.Record
  * feat: add type equality is_equal_to member
  * fix: expose array interface for CUDA
  * fix: test untested path in ak.cartesian & broadcasting
  * fix: ak.cartesian for typetracer
  * fix: Numba string reference count memory leak.
  * fix: generate an array view when an Array C++ type is requested
  * fix: do not expose an rdfentry_ column
  * fix: generate RDataSource API based on ROOT attribute
  * fix: simplify depth limit test to support bigger-than-depth values
  * fix: use cppyy include
  * fix: convert ufunc arguments to same backend
  * fix: support N-d sequences in TypeTracer.asarray
  * fix: make from_iter require iterables!
  * fix: avoid stack overflow with std::unique_ptr linked list
  * fix: ak.unzip visits all contents
  * fix: remove spurious typetracer conversion
  * feat: add support for arrays in from_buffers
  * feat: validate axis in L1
  * feat: add examples to header-only module
  * fix: support typetracer in ak.unflatten
  * fix: view for unknown scalar
  * fix: common backend in functions accepting multiple arrays
  * fix: support unknown scalars in __getitem__
  * fix: fail early if index is too dimensional
  * fix: uneccessary use of nplike_of
  * fix: jupyterlite dependency changes

-------------------------------------------------------------------
Tue Mar 14 22:34:10 UTC 2023 - Dirk Müller <dmueller@suse.com>

- update to 2.1.0:
  * bump numpy to 1.17.0

-------------------------------------------------------------------
Tue Mar  7 12:25:58 UTC 2023 - Dirk Müller <dmueller@suse.com>

- update to 2.0.9:
  * feat: keep column order after filtering flag
  * feat: Awkward Arrays in Numba's CUDA target
  * feat: add 'highlevel' and 'behavior' arguments to
    'ak.from_rdataframe' function
  * fix: set dtype in full_like
  * fix: use simplified in ak._do.merge_as_union
  * fix: support unknown content length in to_packed
  * fix: run-lengths with typetracer
  * fix: add trivial nan_to_num impl
  * fix: add ak.broadcast_fields
  * fix: keep column order in all tests

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Wed Mar  1 14:04:21 UTC 2023 - Dirk Müller <dmueller@suse.com>

- update to 2.0.8:
  * allow awkward type arrays filtering based on rdfentry
  * feat!: re-introduce unknown-length
  * fix: keep EmptyArray in remove_structure
  * fix: add is_c_contiguous method to Cupy
  * fix: boolean indexing with non-zero starting offsets
  * fix: add license to _backends
  * fix: use of size in to_RegularArray
  * fix: indexing into RegularArray with typetracer
  * fix: support length-zero outer arrays in almost_equal
  * fix: support options in ak.merge_union_of_records
  * fix: don't merge non-union parameters
  * fix: boolean slicing with non-packed arrays
  * refactor: add type hints for Content._getitem_XXX
  * refactor: drop NumpyLike.known_shape
  * refactor: change Content._getitem_range to use explicit indices
  * docs: fix example for merge_union_of_records
  * docs: add 1.10 legacy docs to switcher.json
  * docs: reintroduce Content documentation from v1 reST files.
  * docs: add how-to-examine-type.md
  * docs: improve ragged indexing docs
  * chore: include cuda kernel tests in sdist
  * chore(deps): bump amannn/action-semantic-pull-request
    from 5.0.2 to 5.1.0
  * chore: update pre-commit hooks

-------------------------------------------------------------------
Mon Feb 13 02:01:38 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>

- awkward 2.0.7 actually requires awkward-cpp 8.

-------------------------------------------------------------------
Fri Feb 10 12:33:42 UTC 2023 - Dirk Müller <dmueller@suse.com>

- update to 2.0.7
  * feat: add ability to forget length of typetracer created with
    typetracer_from_report
  * feat: start hardening nplike signatures
  * feat: implement all ufuncs on TypeTracer.
  * feat: use None for unknown lengths (1 of 2)
  * feat: coerce backends to same zero-copy type (2 of 2)
  * feat: growable buffer move_to method
  * feat: add ak.merge_union_of_records
  * feat: add support for histogram module
  * feat: add ak.approx_equal
  * fix: re-order cases to handle NumPy scalar types properly
  * fix: specify dtype for buffers in from_rdataframe.
  * fix: unify typestr with _repr
  * fix: update type_to_name for Layout builder cxx_14 target
  * fix: Layout builders clean and length bug fixes
  * fix: support mask_identity=True for axis=None in ptp, std, etc.
  * fix: preserve dimensions for keepdims=True, axis=None
    reductions
  * fix: some usages of len(layout) under typetracer
  * fix: rdataframe memory check
  * fix: rework parameter merging rules
  * fix: don't raise NotImplementedError when reading empty array
    from Parquet
  * fix: ignore object arrays
  * fix: ak.values_astype now turns 'unknown' type into the
    requested type.

-------------------------------------------------------------------
Fri Jan 27 21:34:45 UTC 2023 - Ben Greiner <code@bnavigator.de>

- Update to 2.0.6
  * feat: expose typetracer in public backend API by @agoose77 in #2066
  * feat: add byteorder argument to to_buffers by @agoose77 in #2095
  * feat: add exception for missing field by @agoose77 in #2120
- Release 2.0.3 and 2.0.4
 * The flatten_records argument of all reducers (ak.all, ak.any,
   ..., ak.var) has effectively been removed: setting it now raises
   an error (PR #2020). This argument applies a reducer to all
   contents of a record, merging fields, and it had to be removed
   to properly implement axis=None. The old default,
   flatten_records=False, is now the only behavior, and to get the
   equivalent of flatten_records=True, you can use ak.ravel:
        ak.sum(array, flatten_records=True)
   becomes
       ak.sum(ak.ravel(array))
  * Removing the feature is still the right thing to do, but the
    function argument needs to go through a deprecation cycle,
    since libraries like dask-awkward pass arguments through to
    Awkward. Removing flatten_records as an argument introduces an
    error, even if the surviving case of flatten_records=False is
    desired.
- Release 2.0.2
  * feat: add ak.drop_none() by @ioanaif in #1904
- Release 2.0.1
  * feat: add ak.without_field by @agoose77 in #1963
- Release 2.0.0
  * The Awkward Array version 2 project started in June of 2021 and
    has been developed alongside version 1 updates. For most of
    that time, it was available as a submodule, awkward._v2, so
    that it could be tested with the same tests as version 1 and
    could be experimented upon by early adopters.
  * Despite the long list of PRs, the high-level interface changes
    from version 1 to version 2 were kept at a minimum. For the
    most part, the Awkward 1.x API is fine, but the internal
    implementation needed an overhaul to prevent technical debt.
  ## Summary of changes
  * Nearly all of the code is written in Python now. Exceptions are
    the "kernel" functions, GrowableBuffer, LayoutBuilder,
    ArrayBuilder, AwkwardForth, and dynamically generated C++ code
    for RDataFrame.
  * Maintains performance because any algorithms that scale with
    the size of an array are implemented in compiled "kernel"
    functions.
  * Split into two packages: awkward-cpp for the C++ part
    (infrequently updated, binary distribution for most platforms
    and Python versions) and awkward, the Python part (frequently
    updated).
  * Virtual arrays and Partitions (collectively, "lazy arrays")
    have been removed in favor of dask-awkward.
  * Awkward Arrays can be converted to and from RDataFrame,
    generating C++ for ROOT to JIT-compile so that iteration over
    Awkward Array input is fast (adapted from the Numba
    implementation).
  * Auto-differentiation of functions on Awkward Arrays using JAX.
    (But not JAX JIT-compilation.)
  * Suite of header-only C++ that does not depend on Awkward
    Arrays, but can be used to produce them and quickly get them
    from C++ to Python. The header-only suite includes
    GrowableBuffer and LayoutBuilder.
  * New documentation website (https://awkward-array.org/), based
    on JupyterBooks, the NumPy/SciPy/Pandas style and organization,
    as well as a notebook that can be executed in your web browser.
  * More expressive error-messages, highlighting the ak.* function
    that was in progress when the error occurred, with its
    arguments. (That is, highlighting ak.* functions as the
    granularity of feedback to users of Awkward Array, rather than
    making you search through the stack trace to the hand-off from
    your code to ours.)
  * Brackets are always balanced in the console representation of
    an array:

>>> ak.Array([
        ...     [{"x": 1.1, "y": [1]}, {"x": 2.2, "y": [1, 2]}],
        ...     [],
        ...     [{"x": 3.3, "y": [1, 2, 3]}],
        ... ])
        <Array [[{x: 1.1, y: [1]}, {...}], ...] type='3 * var * {x: float64, y: var...'>
    
    as opposed to
    
        <Array [[{x: 1.1, y: [1]}, ... y: [1, 2, 3]}]] type='3 * var * {"x": float64, "y...'>
    
    in version 1. Also, show methods for values
    
        [[{x: 1.1, y: [1]}, {x: 2.2, y: [1, 2]}],
         [],
         [{x: 3.3, y: [1, 2, 3]}]]
    
    and types
    
        3 * var * {
            x: float64,
            y: var * int64
        }
    
    This extended show output is the default representation in Jupyter.
  * Round-trip fidelity in ak.to_arrow/ak.from_arrow: no Awkward
    Array metadata is lost. Same for ak.to_parquet/ak.from_parquet,
    to the extent that pyarrow can read and write Parquet.
  * Parquet column selection using wildcards.
  * Data exported with version 1 ak.to_buffers can be imported by
    version 2 ak.from_buffers, with custom buffer_keys.
  * The majority of version 1 tests have been ported to version 2,
    to ensure that the interface and functionality doesn't change,
    except where intended (e.g. organizing naming conventions).
  * Consistent handling of date-time and time-delta types (matches
    NumPy's system).
  * Improved ak.to_json/ak.from_json arguments (for converting
    non-JSON types NaN, infinity, complex numbers) and using a
    known JSONSchema to accelerate ak.from_json. Removed
    ambiguities about newline-delimited JSON (requires explicit
    argument).
  * The world's fastest Avro file reader in Python,
    ak.from_avro_file (uses AwkwardForth).
  * "nan" versions of NumPy functions, such as np.nansum,
    np.nanmean, np.nanstd.
  * Renamed ak.to_pandas → ak.to_dataframe, to clarify distinction
    from awkward-pandas.
  * Organized Type and Form objects better, more consistent.
  * Clear specification of NumPy dtypes that can be used in Awkward
    Arrays (bool, numbers, including complex, and
    date-time/time-delta).
  * Organized naming conventions throughout the codebase, such as
    keys versus fields versus recordlookup.
  * Carefully examined the public API (all modules, functions,
    classes, and methods that don't start with an underscore) to be
    sure that we can support it going forward. Any removal or
    change of an interface will require a minor version number
    increase and a deprecation cycle, on the order of months. (New
    features and bug-fixes can be immediate, on patch releases.)
  * Flags and "configuration" function arguments are now
    keyword-only (order independent).
  * Started adding Python type hints (nowhere near complete, but
    started).
  * Removed the Identities from array nodes. They were never fully
    implemented—a placeholder for a feature that won't be developed
    within Awkward Array (SQL-style JOINs).
  * TypeTracerArray does a "dry run" of a calculation to predict
    its type at the end. Used to build a computation graph for
    dask-awkward.
  * Equivalent but ungainly type combinations, such as "option-type
    of option-type of X" or "union-type containing union-types,"
    have been outlawed with tools to squash them into a canonical
    layout. Operations on the data now have fewer possibilities to
    worry about.
  * Simplified the semantics of nbytes.
  * Clarified ak.ravel and ak.flatten's treatments of missing data.
  * Added missing ArrayBuilder methods in Numba.
  * Set up framework for performing ak.* operations in CUDA, using
    CuPy JIT-compilation to get the right interface, with error
    message passing through asynchronous GPU computations. The CUDA
    implementation is not complete, but the groundwork has been
    laid.
  * Parquet reading/writing uses fsspec for remote connections and
    handles the dataset protocol correctly.
  * Public interface to our power-tools: ak.transform unifies our
    internal recursively_apply and broadcast_and_apply.
  * All ak.* functions were rewritten; some were redesigned in a
    simpler way using the above-mentioned power tools. There are
    likely fewer undiscovered bugs in these functions now.
  * Use of records in numerical functions is more restricted, to
    prevent misapplication of ufuncs like + and reducers like
    np.sum on meaningful records such as Vectors.
  * All docstrings updated for version 2, including the code
    examples.
- Drop awkward-cmake-build-with-RelWithDebInfo.patch: No longer
  compiling here
- Remove the devel package: The header-only files are now provided
  by awkward-devel built from python-awkward-cpp

-------------------------------------------------------------------
Fri Nov 11 08:52:09 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com>

- Rvert the devel package requirement, python-awkward is not provided by any of
  subpackages, the real package provided is python3-awkward.

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Thu Nov 10 09:04:56 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com>

- Remove not needed tests filter
- Improve devel package requirement to use the package name variable instead of
  python3-awkward
- Update to 1.10.2:
  # New features
   * feat: add RegularArray._reduce_next implementation (backport) by @agoose77
     in #1813

# Bug-fixes and performance
   * fix: don't assume trailing . for module name in is_XXX_buffer (backport)
     by @agoose77 in #1746
   * fix: use proper lengths in ByteMaskedArray.mergemany (backport) by
     @agoose77 in #1750
   * fix: simplify ListOffsetArray_reduce_nonlocal_outstartsstops (backport) by
     @agoose77 in #1797

# Other
   * chore: remove v2 Python highlevel LayoutBuilder from main-v1. by
     @jpivarski in #1863

-------------------------------------------------------------------
Fri Nov  4 09:10:44 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com>

- Update tests to skip broken tests in i586. gh#scikit-hep/awkward#1862
- Remove python_module macro definition

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Mon Oct 17 01:58:31 UTC 2022 - Steve Kowalik <steven.kowalik@suse.com>

- Update to 1.10.1:
  * fix: support non-hashable parameter values in broadcasting
  * feat: raise Error for Record.setattr
  * fix: allow string arrays to merge without unions
  * fix: carry parameters through broadcasting
  * fix: don't project categorical in ak._v2.packed
  * fix: reduce runtime dependency from setuptools to just packaging
  * fix: ensure that __copy__ and __deepcopy__ are enabled.
  * fix: pass memo to deepcopy
  * perf: improve Array initialisation performance 
  * fix: Removed bytemask() in favour of mask_as_bool()
- Add importlib-resources to BuildRequires.
- Drop patches:
  * awkward-correct-includedir.patch
  * awkward-import-packging-not-setuptools_external.patch
- No longer attempt to skip 3.6.

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Wed Aug 24 03:17:19 UTC 2022 - Steve Kowalik <steven.kowalik@suse.com>

- Copy the heaers ourselves now that setuptools does not.

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Sat Mar  5 15:25:15 UTC 2022 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 1.8.0:
  * Bumped pybind11 to 2.9.1 [gh#scikit-hep/awkward-1.0#1316].
  * Added optiontype_outside_record option to ak.zip
    [gh#scikit-hep/awkward-1.0#1308].
  * Fixed typo in ArrayBuilder documentation
    [gh#scikit-hep/awkward-1.0#1326].
  * Many more changes through various 1.8.0rc versions, see
    https://awkward-array.readthedocs.io/en/latest/_auto/changelog.html.
- Add awkward-import-packging-not-setuptools_external.patch:
  Directly use packaging module instead of setuptools.extern; the
  latter is used by upstream to keep dependencies to a minimum,
  but importing setuptools and trying to then use
  setuptools.external does not work on openSUSE.
- Add python-packaging BuildRequires, needed for tests in light of
  above patch, and Requires.

-------------------------------------------------------------------
Wed Dec  8 22:58:00 UTC 2021 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 1.7.0:
  * Fixed a division-by-zero bug: [gh#scikit-hep/awkward-1.0#1168,
    gh#scikit-hep/awkward-1.0#1169].
  * Applied the 1.7.0 deprecation (see Roadmap):
    [gh#scikit-hep/awkward-1.0#1118].
  * Enabled codecov: [gh#scikit-hep/awkward-1.0#1120].
  * Updated Azure's Windows VM: [gh#scikit-hep/awkward-1.0#1129].
  * Fixed order in RecordForm.contents property:
    [gh#scikit-hep/awkward-1.0#1166].
  * Fixed Parquet reading for files with zero RecordBatches:
    [gh#scikit-hep/awkward-1.0#1170].

-------------------------------------------------------------------
Sat Sep 18 20:15:02 UTC 2021 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 1.5.0:
  * Reverting the spelling of ak.nplike.NumPy → ak.nplike.Numpy,
    etc. (including CuPy → Cupy) to avoid needlessly breaking
    interfaces.
  * Unrestricted the jaxlib version bounds, thanks to a fix that
    he prompted in JAX: PR gh#scikit-hep/awkward#988.
  * Added support for n-dimensional NumpyArrays in ak.where: PR
    gh#scikit-hep/awkward#980.
  * Added axis parameter to ak.fill_none: PR
    gh#scikit-hep/awkward#917. Added np.ravel: PR
    gh#scikit-hep/awkward#985.
  * Fixed ak.from_buffers to support empty buffers: PR
    gh#scikit-hep/awkward#1009.
  * Fixed ak.packed for RegularArrays with size=0: PR
    gh#scikit-hep/awkward#1008.
  * Fixed ak.zip to not convert regular to jagged:
    gh#scikit-hep/awkward#1013.
  * Clarified the documentation of left and right broadcasting: PR
    gh#scikit-hep/awkward#1016.
  * Fixed ak.broadcast_arrays by setting numpy_to_regular=True: PR
    gh#scikit-hep/awkward#1019.
  * Added support for ak.Record in ak.packed: PR
    gh#scikit-hep/awkward#1021.
  * Fixed gh#scikit-hep/awkward#1026, jagged slicing of a
    multidimensional NumpyArray: PR gh#scikit-hep/awkward#1029.
  * Added a name parameter to ak.mixin_class: PR
    gh#scikit-hep/awkward#1030.
  * Added a spell-checker in pre-commit that fixed a lot of
    spelling mistakes in comments and documentation: PR
    gh#scikit-hep/awkward#1003.
  * Fixed the stack level of the deprecation warning: PR
    gh#scikit-hep/awkward#1058.
  * Made the source code reproducible by allowing the build date
    to be overridden by SOURCE_DATE_EPOCH: PR
    gh#scikit-hep/awkward#1050.
  * Optimized common array slice ("take") operations: PR
    gh#scikit-hep/awkward#1062.
  * Added a better set of kernel unit tests to continuous
    integration, which will be important for testing GPU kernels:
    PRs gh#scikit-hep/awkward#1065 and gh#scikit-hep/awkward#1081.
  * Added a default for NEP-18, so now any NumPy function can be
    used with Awkward Arrays, as long as the Awkward Array can be
    cast as NumPy (i.e. is rectilinear):
    gh#scikit-hep/awkward#1005.
  * Reverted the ill-conceived gh#scikit-hep/awkward#694,
    SliceVarNewAxis: PR gh#scikit-hep/awkward#1028.
  * Made ak.Record iterable (iterates over field names, like
    dict): PR gh#scikit-hep/awkward#1061.
  * Fixed the UnionForm bug described in gh#scikit-hep/awkward#770
    and gh#scikit-hep/awkward#930: PR gh#scikit-hep/awkward#991.
  * Fixed gh#scikit-hep/awkward#546, ak.fill_none losing the
    replacement's dtype: PR gh#scikit-hep/awkward#995.
  * Fixed double-masking of reducers and unmasking of ak.ptp: PR
    gh#scikit-hep/awkward#994.
  * Fixed ak.Array.__dir__ to include methods/properties of
    overridden classees: PR gh#scikit-hep/awkward#993.
  * Fixed gh#scikit-hep/awkward#982 by accounting for another kind
    of "gap" in nonlocal reducers: PR gh#scikit-hep/awkward#997.
  * Fixed gh#scikit-hep/awkward#998 and
    gh#scikit-hep/awkward#1000, ak.argmax for ListOffsetArray with
    nonzero start: PR gh#scikit-hep/awkward#1001.
  * Fixed ak.fill_none fill value's handling of NumPy dimension:
    PR gh#scikit-hep/awkward#1056.
  * Fixed ak.to_numpy for structured arrays that are also masked
    arrays: PR gh#scikit-hep/awkward#1067.
  * Finished __getitem__ for all array types: PRs
    gh#scikit-hep/awkward#959, gh#scikit-hep/awkward#1031,
    gh#scikit-hep/awkward#1036, and gh#scikit-hep/awkward#1073.
  * Refactored ArrayBuilder to not depend on C++ that will be
    removed in v2: PRs gh#scikit-hep/awkward#977,
    gh#scikit-hep/awkward#1045, and gh#scikit-hep/awkward#1063.
  * Implemented _localindex in v2: PR gh#scikit-hep/awkward#1059.
    And combinations: PR gh#scikit-hep/awkward#1074.
  * Renamed _getitem_array as _carry and made it take an Index: PR
    gh#scikit-hep/awkward#1025. Added VirtualArray: PR
    gh#scikit-hep/awkward#1079.
- Disable python2 builds explicitly by setting skip_python2 in
  specfile; otherwise builds for openSUSE <= 1550 fail.

-------------------------------------------------------------------
Sat Jul  3 00:39:43 UTC 2021 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 1.4.0:
  * Long list of changes since last packaged version, see
    https://awkward-array.readthedocs.io/en/latest/_auto/changelog.html.
- Adapt symlinks and file-list for changes to shared object
  locations (directly in python_sitearch instead of
  python_sitearch/awkward/).
- Skip a test on 32-bit that uses float128, since float32 is not
  available.

-------------------------------------------------------------------
Sun Feb 21 14:25:27 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Update to 1.1.2
  * The fix that motivates this patch release is @henryiii’s repair
    of the SDist distribution: PR #720. The addition of dlpack
    wasn’t included in the source distribution, so pip install
    awkward without an available wheel was failing due to not
    having all the headers it needed to compile.
  * Also fixed jagged slices: issue #723, PRs #725 and #729, as
    well as a segfault in ak.flatten: issue #724, PR #726.
- Release 1.1.1
  * New patch release motivated by a bug discovered in Uproot’s
    tests: PR #719. (From now on, Uproot will test Awkward release
    candidates.)
  * Also, #717 adds an optional behavior argument to every function
    that takes a highlevel=True/False.
  * Also from now on, only critical bug-fixes (like this one) will
    be patch releases and other updates will all go into release
    candidates for the next non-patch release (e.g. 1.2.0,
    [scheduled for 2021-04-01](https://github.com/scikit-hep/
    awkward-1.0#roadmap)).
- Release 1.1.0
  * Updates to Arrow 3.0. PR #709.
  * Can now read and write Parquet datasets (conventions for sets
    of multiple files): PR #706, fixes #368 (old!).
  * Also, Python 2 can use ellipsis because we have pybind11 2.6
    now: PR #707, fixes #705.
  * remove deprecated features
  * Fixed #689, the dimension of arrays returned by empty slices:
    PR #691.
  * @ianna fixed tuple-building in ArrayBuilder to guard against
    specifying a nonexistent slot and segfaulting: #697.
  * Added [ak.materialized](https://awkward-array.readthedocs.io/
    en/latest/_auto/ak.materialized.html) to force-materialize
    arrays (opposite of [ak.virtual](https://awkward-array.
    readthedocs.io/en/latest/_auto/ak.virtual.html)) because
    debugging very lazy deferments is hard.
  * Can now use np.newaxis to give one array the same number of
    dimensions as another for slicing (which closes #492).
  * Fixed ak.min/ak.max with axis != None for partitioned data.
  * Fixed a bug that affected boolean-masking of partitioned data.
  * Reducing over-materialization of virtual arrays: PRs #643,
    #644, #657, added Form-aware lazy Parquet: #688
  * Fixed ak.from_buffers to allow unreachable elements: PR #673
  * Developed the AwkwardForth VM: PRs #683, #648, #653, #661,
    #664, #672
  * Removed right-broadcasting from all operations except those
    that require it for NumPy compliance: #656, #680
  * @ianna improved sorting: PRs #639, #687, added complex numbers
    support: PRs #652
  * @trickarcher generalized CuPy interop to JAX: PRs #645, #662
  * @reikdas cleaned up developer scripts: PRs #665, #666, #667
  * @henryiii added more code quality tests: PRs #675, #681, #682,
    #677, #676, #685, #683
- Somehow the missing python-devel BuildRequires was okay until
  recently.

-------------------------------------------------------------------
Sun Feb 14 14:10:00 UTC 2021 - Dirk Müller <dmueller@suse.com>

- skip python 3.6 (numbas requires scipy)

-------------------------------------------------------------------
Mon Jan 25 23:10:46 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Update to 1.0.2
  * @nsmith- fixed virtual arrays in ak.to_arrow (PR #642).
  * Fixed #628, allowing np.int64(N) to be used in a slice like
    integer N (PR #636).
  * Added the ability to select fields inside of nested 
    records with syntax like array[[“pt”, “eta”, “phi”], 
    “nominal”] (#619).
  * Fixed Apache Arrow → Awkward Array (ak.from_arrow) for 
    sliced Arrow arrays: it has an offset attribute we had 
    been ignoring (#625). Thanks to @trickarcher for the 
    extensive tests!
  * Ensured that an ak.Array’s behavior always gets passed to 
    output of any operation (#626), even if the input is a 
    dict (#627, affected ak.zip, ak.cartesian, and 
    ak.argcartesian).
  * Fixed #629, ak.with_field dropping parameters (#631), 
    and #634, ak.fill_none not accepting a Record as a fill 
    value (#635).
  * Added a roadmap and upvote/thumbs up instructions to the 
    README.
  * @jpivarski revised the ak.concatenate implementation 
    (#610), fixed a bug related to axis handling (#612), and 
    made ak.concatenate friendlier to lazy arrays (#613; 
    “friendlier” = “materializes arrays in fewer cases”).
  * @chrisburr added setuptools as a requirement because it 
    is used for pkg_resources.
  * @ianna added validity-checking for strings, bytestrings, 
    and categorical (#571), including some revisions of 
    sorting and a partial implementation of checking for 
    uniqueness and identifying unique elements from arrays 
    that can later be used to implement np.unique.
  * Updated Awkward <–> Arrow conversion to preserve nullability 
    in type (PRs #602, #606). Preemptively avoiding warnings 
    from NumPy 1.20 (#599) and fixed 32-bit Linux cases in the 
    tests (#604).
  * @henryiii fixed hardcoded threads in MacOS compilation 
    target (for deploying to conda-forge).
- Drop awkward-tests-on-32bit.patch merged upstream
- Fix python_expand for primary flavor check

-------------------------------------------------------------------
Wed Dec 16 00:13:41 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>

- Add awkward-tests-on-32bit.patch: Fix tests on 32 bit systems;
  patch taken from upstream PR [gh#scikit-hep/awkward-1.0#600].

-------------------------------------------------------------------
Tue Dec 15 00:31:07 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>

- Disable tests making use of 64 bit data types on i586
  (gh#scikit-hep#awkward-1.0#600).

-------------------------------------------------------------------
Mon Dec 14 23:23:12 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>

- Move header files to standard header dir and package them plus
  symlink to shared lib as part of awkward-devel package (for use
  by C/C++ coders).

-------------------------------------------------------------------
Sun Dec 13 19:06:50 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>

- Add awkward-correct-includedir.patch: Make awkward.config return
  the correct includedir (/usr/include/awkward) where we move the
  header files to (default installation is to
  python_sitearch/awkward/include, which is non-std).
- Add awkward-cmake-build-with-RelWithDebInfo.patch: Set
  CMAKE_BUILD_TYPE to RelWithDebInfo by default instead of
  Release.

-------------------------------------------------------------------
Sun Dec 13 14:33:55 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>

- Initial package.

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