pyqtgraph/asv.conf.json
Martin Chase 1654cb62ac
Small ImageItem-related improvements (#1501)
* 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>
2021-01-19 23:19:03 -08:00

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{
// The version of the config file format. Do not change, unless
// you know what you are doing.
"version": 1,
// The name of the project being benchmarked
"project": "pyqtgraph",
// The project's homepage
"project_url": "http://pyqtgraph.org/",
// The URL or local path of the source code repository for the
// project being benchmarked
"repo": ".",
// List of branches to benchmark. If not provided, defaults to "master"
// (for git) or "default" (for mercurial).
"branches": ["master"], // for git
// "branches": ["default"], // for mercurial
// The DVCS being used. If not set, it will be automatically
// determined from "repo" by looking at the protocol in the URL
// (if remote), or by looking for special directories, such as
// ".git" (if local).
// "dvcs": "git",
// The tool to use to create environments. May be "conda",
// "virtualenv" or other value depending on the plugins in use.
// If missing or the empty string, the tool will be automatically
// determined by looking for tools on the PATH environment
// variable.
"environment_type": "conda",
// timeout in seconds for installing any dependencies in environment
// defaults to 10 min
//"install_timeout": 600,
// the base URL to show a commit for the project.
"show_commit_url": "http://github.com/pyqtgraph/pyqtgraph/commit/",
// The Pythons you'd like to test against. If not provided, defaults
// to the current version of Python used to run `asv`.
"pythons": ["2.7", "3.8"],
// The matrix of dependencies to test. Each key is the name of a
// package (in PyPI) and the values are version numbers. An empty
// list or empty string indicates to just test against the default
// (latest) version. null indicates that the package is to not be
// installed. If the package to be tested is only available from
// PyPi, and the 'environment_type' is conda, then you can preface
// the package name by 'pip+', and the package will be installed via
// pip (with all the conda available packages installed first,
// followed by the pip installed packages).
//
"matrix": {
"numpy": [],
"numba": [],
"pyqt": ["4", "5"],
},
// Combinations of libraries/python versions can be excluded/included
// from the set to test. Each entry is a dictionary containing additional
// key-value pairs to include/exclude.
//
// An exclude entry excludes entries where all values match. The
// values are regexps that should match the whole string.
//
// An include entry adds an environment. Only the packages listed
// are installed. The 'python' key is required. The exclude rules
// do not apply to includes.
//
// In addition to package names, the following keys are available:
//
// - python
// Python version, as in the *pythons* variable above.
// - environment_type
// Environment type, as above.
// - sys_platform
// Platform, as in sys.platform. Possible values for the common
// cases: 'linux2', 'win32', 'cygwin', 'darwin'.
//
"exclude": [
{"python": "3.8", "pyqt": "4"},
],
//
// "include": [
// // additional env for python2.7
// {"python": "2.7", "numpy": "1.8"},
// // additional env if run on windows+conda
// {"platform": "win32", "environment_type": "conda", "python": "2.7", "libpython": ""},
// ],
// The directory (relative to the current directory) that benchmarks are
// stored in. If not provided, defaults to "benchmarks"
"benchmark_dir": "benchmarks",
// The directory (relative to the current directory) to cache the Python
// environments in. If not provided, defaults to "env"
"env_dir": ".asv/env",
// The directory (relative to the current directory) that raw benchmark
// results are stored in. If not provided, defaults to "results".
"results_dir": ".asv/results",
// The directory (relative to the current directory) that the html tree
// should be written to. If not provided, defaults to "html".
"html_dir": ".asv/html",
// The number of characters to retain in the commit hashes.
// "hash_length": 8,
// `asv` will cache wheels of the recent builds in each
// environment, making them faster to install next time. This is
// number of builds to keep, per environment.
"build_cache_size": 5
// The commits after which the regression search in `asv publish`
// should start looking for regressions. Dictionary whose keys are
// regexps matching to benchmark names, and values corresponding to
// the commit (exclusive) after which to start looking for
// regressions. The default is to start from the first commit
// with results. If the commit is `null`, regression detection is
// skipped for the matching benchmark.
//
// "regressions_first_commits": {
// "some_benchmark": "352cdf", // Consider regressions only after this commit
// "another_benchmark": null, // Skip regression detection altogether
// }
// The thresholds for relative change in results, after which `asv
// publish` starts reporting regressions. Dictionary of the same
// form as in ``regressions_first_commits``, with values
// indicating the thresholds. If multiple entries match, the
// maximum is taken. If no entry matches, the default is 5%.
//
// "regressions_thresholds": {
// "some_benchmark": 0.01, // Threshold of 1%
// "another_benchmark": 0.5, // Threshold of 50%
// }
}