Commits
Andrew Stromnov authored 5b7c004b9f7
1 1 | # -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 |
2 2 | |
3 3 | PortSystem 1.0 |
4 4 | PortGroup python 1.0 |
5 5 | |
6 6 | name py-dask |
7 - | version 0.20.2 |
7 + | version 1.0.0 |
8 8 | revision 0 |
9 9 | categories-append devel |
10 10 | platforms darwin |
11 11 | license BSD |
12 12 | supported_archs noarch |
13 13 | |
14 14 | python.versions 27 34 35 36 37 |
15 15 | |
16 16 | maintainers {stromnov @stromnov} openmaintainer |
17 17 | |
24 24 | datasets. It then executes these graphs in parallel on a \ |
25 25 | single machine. Dask lets us use traditional NumPy, \ |
26 26 | Pandas, and list programming while operating on \ |
27 27 | inconveniently large data in a small amount of space. |
28 28 | |
29 29 | homepage https://github.com/dask/dask/ |
30 30 | master_sites pypi:[string index ${python.rootname} 0]/${python.rootname} |
31 31 | |
32 32 | distname ${python.rootname}-${version} |
33 33 | |
34 - | checksums rmd160 125bfcb0df51d2d5686b62b5dddbe6b6f8a05d74 \ |
35 - | sha256 d4139a03ab5eb6cedeb06cf1e39af90fb5226ca214d77408def7677d7e6b7af3 \ |
36 - | size 2366139 |
34 + | checksums rmd160 5be838353005cf087d0ef364a75c78f3d6d2c941 \ |
35 + | sha256 a1fa4a3b2d7ce4dd0c68db4b68dadf2c283ff54d98bd72c556fc462000449ff7 \ |
36 + | size 2366074 |
37 37 | |
38 38 | if {${name} ne ${subport}} { |
39 39 | depends_build-append \ |
40 40 | port:py${python.version}-setuptools |
41 41 | |
42 42 | livecheck.type none |
43 43 | } |