py-numba: updated to 0.44.0

Version 0.44.0

IMPORTANT: In this release a few significant deprecations (and some less
significant ones) are being made, users are encouraged to read the related
documentation.

General enhancements in this release include:
- Numba is backed by LLVM 8 on all platforms apart from ppc64le, which, due to
  bugs, remains on the LLVM 7.x series.
- Numba's dictionary support now includes type inference for keys and values.
- The .view() method now works for NumPy scalar types.
- Newly supported NumPy functions added: np.delete, np.nanquantile, np.quantile,
  np.repeat, np.shape.

In addition considerable effort has been made to fix some long standing bugs and
a large number of other bugs, the "Fixes" section is very large this time!

Enhancements from user contributed PRs (with thanks!):
- Max Bolingbroke added support for the selective use of fastmath flags in
  3847.
- Rob Ennis made min() and max() work on iterables in 3820 and added
  np.quantile and np.nanquantile in 3899.
- Sergey Shalnov added numerous unicode string related features, zfill in 3978,
  ljust in 4001, rjust and center in 4044 and strip, lstrip and rstrip in
  4048.
- Guilherme Leobas added support for np.delete in 3890
- Christoph Deil exposed the Numba CLI via python -m numba in 4066 and made
  numerous documentation fixes.
- Leo Schwarz wrote the bulk of the code for jitclass default constructor
  arguments in 3852.
- Nick White enhanced the CUDA backend to use min/max PTX instructions where
  possible in 4054.
- Lucio Fernandez-Arjona implemented the unicode string __mul__ function in
  3952.
- Dimitri Vorona wrote the bulk of the code to implement getitem and setitem for
  jitclass in 3861.

General Enhancements:

* Min max on iterables
* Unicode type iteration
* Allow fine-grained control of fastmath flags to partially address 2923
* Add support for np.delete
* Support for np.quantile and np.nanquantile
* Fix 3457 :: Implements np.repeat
* Add .view() method for NumPy scalars
* Update icc_rt clone recipe.
* __mul__ for strings, initial implementation and tests
* Type-inferred dictionary
* Create a view for string slicing to avoid extra allocations
* zfill operation implementation
* ljust operation implementation
* Support dict() and {}
* Support for llvm 8
* Make type.Optional str more representative
* Deprecation warnings
* rjust and center operations implementation
* strip, lstrip and rstrip operations implementation
* Expose numba CLI via python -m numba
* Impl np.shape and support function for asarray.
* Deprecate the use of iternext_impl without RefType

CUDA Enhancements/Fixes:
* Adds .nbytes property to CUDA device array objects.
* Add .inspect_ptx() to cuda device function
* CUDA: Use min/max PTX Instructions
* Update env-vars for CUDA libraries lookup

Documentation Updates:
* Code repository map
* adding Joris' Fosdem 2019 presentation
* order talks on applications of Numba by date
* fix two small typos in vectorize docs
* Fixup jitclass docs
* mention preprint repo in FAQ. Fixes 3981
* Correct runtests command in contributing.rst
* fix typo
* Ambiguous Documentation fix for guvectorize.
* Remove remaining mentions of autojit in docs
* Fix annotate example in docstring
* Add FAQ entry explaining Numba project name
* Add Documentation for atomicity of typed.Dict
* Remove info about CUDA ENVVAR potential replacement

Fixes:
* Resolves issue 3528.  Adds support for slices when not using parallel=True.
* Remove dels for known dead vars.
* Fix mutable flag transmission in .astype
* Fix some minor issues in the C source.
* Correct boolean reinterpretation of data
* Comments out the appveyor badge
* fixes flake8 after merge
* Add assert to ir.py to help enforce correct structuring
* fix preparfor dtype transform for datetime64
* Prevent mutation of objmode fallback IR.
* Updates for llvmlite 0.29
* Use safe_load from pyyaml.
* Add tolerance to network errors by permitting conda to retry
* Fix casting in namedtuple ctor.
* Fix array inliner for multiple array definition.
* Cherrypick 3903 to main
* Raise better error if unsupported jump opcode found.
* Apply flake8 to the numpy related files
* Silence DeprecationWarning
* Better error message for unknown opcode
* Fix typing of ufuncs in parfor conversion
* Return variable renaming dict from inline_closurecall
* Fix bug in alignment computation of Record.make_c_struct
* Fix error with pickling unicode
* Unicode split algo versioning
* Add handler for unknown locale to numba -s
* Permit Optionals in ufunc machinery
* Remove assert in type inference causing poor error message.
* add is_ascii flag to UnicodeType
* Prevent zero division error in np.linalg.cond
* Resolves 4007.
* Add a more specific error message for invalid write to a global.
* Fix handling of titles in record dtype
* Do a check if a call is const before saying that an object is multiply defined.
* Fix issue 4020.  Turn off no_cpython_wrapper flag when compiling for…
* [WIP] Fixing wrong dtype of array inside reflected list 4028
* Change IPython cache dir name to numba_cache
* Delete examples/notebooks/LinearRegr.py
* Catch writes to global typed.Dict and raise.
* Check tuple length
* Fix missing incref on optional return None
* Make the warnings fixer flush work for warning comparing on type.
* Fix function definition finding logic for commented def
* Fix alignment check on 32-bit.
* Use PEP 508 compliant env markers for install deps

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