forked from scipy/scipy
/
asv.conf.json
70 lines (56 loc) · 2.45 KB
/
asv.conf.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
{
// 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": "scipy",
// The project's homepage
"project_url": "https://scipy.org/scipylib/",
// The URL of the source code repository for the project being
// benchmarked
"repo": "..",
"dvcs": "git",
"branches": ["master"],
// The base URL to "how a commit for the project.
"show_commit_url": "https://github.com/scipy/scipy/commit/",
// The Pythons you'd like to test against. If not provided, defaults
// to the current version of Python used to run `asv`.
"pythons": ["3.6"],
// 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 indicates to just test against the default (latest)
// version.
"matrix": {
"numpy": [],
"Tempita": [],
"Cython": ["0.29.2"],
"pytest": [],
"six": [],
},
// 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": "env",
"environment_type": "virtualenv",
"wheel_cache_size": 10,
// The directory (relative to the current directory) that raw benchmark
// results are stored in. If not provided, defaults to "results".
"results_dir": "results",
// The directory (relative to the current directory) that the html tree
// should be written to. If not provided, defaults to "html".
"html_dir": "html",
// The number of characters to retain in the commit hashes.
"hash_length": 8,
// 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": {
"io_matlab\\.StructArr\\..*": "67c089a6", // structarrs weren't properly implemented before this
}
}