* update to working
* cupy tests, too
* doubling up and down
* add more realism to the benchmarks
* name to reflect scale
* use different numbers to mean different numbers
(that sure does sound tautological)
* more sensible: order, error
* thorough check of lots of makeARGB arg combos
* docstring for tool usage
* no print needed
* better error messages
* test makeARGB using cupy, too
* skip without cupy available
* switch from conda to venv
* skip cupy runs when not available
* use endian-proof makeARGB shim in tests
* generate the asv conf to suit the system
* document running asv
* comments for future matrix goals
* put all makeARGB tests together; name for clarity
* subprocess.check_output is standard for all supported pythons
* better handle lack of git version
* use makeARGB shim
* small fixes and improvements
* Initial asv configuration
* makeARGB benchmarks are working
* Fix array type checking and allow making QImage in greyscale mode
* Performance improvements
* benchmark minor update
* Add CLI args to video speed test for easier / automated benchmarking
* udpate asv conf
* use a buffer-qimage so we can avoid allocing so much
this should improve performance under windows
* Add CLI args to video speed test for easier / automated benchmarking
* use a buffer-qimage so we can avoid allocing so much
this should improve performance under windows
* playing with numba
* oh, mins/maxes in the other order
* maybe put the cupy in here and see what happens
* pre-alloc for gpu and cpu
* handle possibility of not having cupy
* no numba in this branch
* organize imports
* name them after their use, not their expected device
* cupy.take does not support clip mode, so do it explicitly
* add CUDA option to the VideoSpeedTest
* rename private attr xp to _xp
* handle resizes at the last moment
* cupy is less accepting of lists as args
* or somehow range isn't allowed? what histogram is this?
* construct the array with python objects
* get the python value right away
* put LUT into cupy if needed
* docstring about cuda toolkit version
* better handling and display of missing cuda lib
* lint
* import need
* handle switching between cupy and numpy in a single ImageItem
* only use xp when necessary
we can now depend on numpy >= 1.17, which means __array_function__-implementing cupy can
seamlessly pass into numpy functions. the remaining uses of xp are for our functions which
need to allocate new data structures, an operation that has to be substrate-specific.
remove empty_cupy; just check if the import succeeded, instead.
* use an option to control use of cupy
* convert cupy.ceil array to int for easier mathing
* RawImageWidget gets to use the getCupy function now, too
* raise error to calm linters; rename for clarity
* Add Generated Template Files
* document things better
* cruft removal
* warnings to communicate when cupy is expected but somehow broken
* Merge branch 'cupy-rebase' into 'l/imageitem-performance'
Abundant conflicts; accept theirs in nearly every case.
* playing with settings to suss out timeout
* playing with more stuff to suss out timeout
* replace with empty list
* skip test_ExampleApp on linux+pyside2 only
* clean out some bits that no longer make sense; linty
* ignore airspeed velocity dir
* lint
* tidy up for merge
* lint
* lint, avoid shadowing
* specific import; run-as-script setup
Co-authored-by: Luke Campagnola <luke.campagnola@gmail.com>
Co-authored-by: Ogi Moore <ognyan.moore@gmail.com>
try codecov.io instead of coveralls
add coverage to py.test
MNT: Try coverage with coveralls one more time
MNT: Add coverage stats to gitignore
MNT: Remove pwd/ls debugs
