The bug can occur only if the build option `build`
  was passed before the option `bdist_wheel`.

  You may still realize a duplicate printing for the compiler
  optimization report in the build log, which is normal due to
  multiple calling of command `build` by setuptools.

  The error appears when option `build` is represented
  before `bdist_wheel`.

    Same usage as the C dispatch-able sources except files extensions
    should be `.dispatcher.cpp` or `.dispatch.cxx` rather than `.dispatch.c`

* Added chain exception in _bits_of func

* Added chain exception

* Added chain exception in unixccompiler.py

* Added chain exception in config.py

* Added chain exception in fcompiler __init__.py

* Added chain exception in compaq.py

* Added chain exception in format.py

* Updated raise chain exception

* STY: Break long line.

Co-authored-by: Charles Harris <charlesr.harris@gmail.com>

* BUG: don't mutate list of fake libraries while iterating over it

* BUG: iterate over copy of list

* TST: add build test for build_ext fix (#1)

* TST: add build test for build_ext fix

* TST: clearer test name

* STY: use triple quotes instead of lists of strings

* FIX: check for f77 compiler before test is run

* DOC: add comment explaining that a list copy is necessary

  The new path becomes `build/src.*/numpy/distutils/include/npy_cpu_dispatch_config.h`
  instead of `numpy/core/src/common/_cpu_dispatch.h`.

  The new path allows other projects to re-use the CPU dispatcher
  once we decide to expose the following headers:
    - `numpy/core/src/common/npy_cpu_dispatch.h`
    - `numpy/core/src/common/npy_cpu_features.h`

* replace superfluous single-character regex character
classes with their literal string equivalents; this
avoids the overhead associated with a character class
when there's only a single character enclosed (so there's
no benefit to the class overhead)

* for more information see:
Chapter 6 of:
Friedl, Jeffrey. Mastering Regular Expressions. 3rd ed.,
O’Reilly Media, 2009.

 - use plain variables
 - clean up aligned allocate
 - use `PyArg_ParseTuple` for empty args
 - use `Py_ssize_t` instead of `unsigned` and `size_t`
 - improve coding style
 - no need for a custom raises assertions
 - use parametrize instead of inner loops
 - leave a comment about nature of mode testing unit
 - shift to get max/min of int72
 - add more info to repr of vector object
 - get ride of exec() and use type() instead
 - use `.inc` as extension for sub-headers instead of `.h`
 - add `FMA4` and drop `SSE41` from _SIMD targets

Co-authored-by: Eric Wieser <wieser.eric@gmail.com>

  '_simd' is a new module to bring the NumPy C SIMD vectorization interface "NPYV"

  The module is designed to be extremely flexible so that it can accommodate any kind
  intrinsics, also to generate a python interface almost similar to the C interface.

  The main purpose of this module is to test NPYV intrinsics in python,
  but still can be used as an effective solution in designing SIMD kernels.

  Also add a new command-line argument `--simd-test` to control of targeted CPU features
  for the `_simd` module.

Co-authored-by: Matti Picus <matti.picus@gmail.com>
Co-authored-by: Eric Wieser <wieser.eric@gmail.com>