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Andrew Stromnov authored 5b7c004b9f7
py-dask: update to 1.0.0
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python/py-dask/Portfile

Modified
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 }

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