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
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
|
%global _empty_manifest_terminate_build 0
Name: python-asyncoro
Version: 4.5.6
Release: 1
Summary: Python framework for concurrent, distributed, asynchronous network programming with coroutines, asynchronous completions and message passing.
License: MIT
URL: http://asyncoro.sourceforge.net
Source0: https://mirrors.aliyun.com/pypi/web/packages/fd/79/1042b121f40be81cd634b9e42242623000b68f401397bcbc42c067296a93/asyncoro-4.5.6.tar.gz
BuildArch: noarch
%description
* No callbacks or event loops! No need to lock critical sections either,
* Efficient polling mechanisms epoll, kqueue, /dev/poll, Windows
I/O Completion Ports (IOCP) for high performance and
scalability,
* Asynchronous (non-blocking) sockets and pipes, for concurrent
processing of I/O,
* SSL for security,
* Asynchronous locking primitives similar to Python threading module,
* Asynchronous timers and timeouts,
* `Message passing <http://en.wikipedia.org/wiki/Message_passing>`_
for (local and remote) coroutines to exchange messages one-to-one
with `Message Queue Pattern
<http://en.wikipedia.org/wiki/Message_queue>`_ or through
broadcasting channels with `Publish-Subscribe Pattern
<http://en.wikipedia.org/wiki/Publish/subscribe>`_,
* `Location transparency
<http://en.wikipedia.org/wiki/Location_transparency>`_ with naming
and locating (local and remote) resources,
* Distributing computation components (code and data) for execution of
distributed communicating processes, for wide range of use cases, covering
`SIMD, MISD, MIMD <https://en.wikipedia.org/wiki/Flynn%27s_taxonomy>`_ system
architectures at the process level, `web interface
<http://asyncoro.sourceforge.net/discoro.html#client-browser-interface>`_ to
monitor cluster/application status/performance; `in-memory processing
<https://en.wikipedia.org/wiki/In-memory_processing>`_, data streaming,
real-time (live) analytics and cloud computing are supported as well,
* Monitoring and restarting of (local or remote) coroutines, for fault detection
and fault-tolerance,
* Hot-swapping of coroutine functions, for dynamic system reconfiguration,
* Thread pools with asynchronous task completions, for executing (external)
synchronous tasks, such as reading standard input.
%package -n python3-asyncoro
Summary: Python framework for concurrent, distributed, asynchronous network programming with coroutines, asynchronous completions and message passing.
Provides: python-asyncoro
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-asyncoro
* No callbacks or event loops! No need to lock critical sections either,
* Efficient polling mechanisms epoll, kqueue, /dev/poll, Windows
I/O Completion Ports (IOCP) for high performance and
scalability,
* Asynchronous (non-blocking) sockets and pipes, for concurrent
processing of I/O,
* SSL for security,
* Asynchronous locking primitives similar to Python threading module,
* Asynchronous timers and timeouts,
* `Message passing <http://en.wikipedia.org/wiki/Message_passing>`_
for (local and remote) coroutines to exchange messages one-to-one
with `Message Queue Pattern
<http://en.wikipedia.org/wiki/Message_queue>`_ or through
broadcasting channels with `Publish-Subscribe Pattern
<http://en.wikipedia.org/wiki/Publish/subscribe>`_,
* `Location transparency
<http://en.wikipedia.org/wiki/Location_transparency>`_ with naming
and locating (local and remote) resources,
* Distributing computation components (code and data) for execution of
distributed communicating processes, for wide range of use cases, covering
`SIMD, MISD, MIMD <https://en.wikipedia.org/wiki/Flynn%27s_taxonomy>`_ system
architectures at the process level, `web interface
<http://asyncoro.sourceforge.net/discoro.html#client-browser-interface>`_ to
monitor cluster/application status/performance; `in-memory processing
<https://en.wikipedia.org/wiki/In-memory_processing>`_, data streaming,
real-time (live) analytics and cloud computing are supported as well,
* Monitoring and restarting of (local or remote) coroutines, for fault detection
and fault-tolerance,
* Hot-swapping of coroutine functions, for dynamic system reconfiguration,
* Thread pools with asynchronous task completions, for executing (external)
synchronous tasks, such as reading standard input.
%package help
Summary: Development documents and examples for asyncoro
Provides: python3-asyncoro-doc
%description help
* No callbacks or event loops! No need to lock critical sections either,
* Efficient polling mechanisms epoll, kqueue, /dev/poll, Windows
I/O Completion Ports (IOCP) for high performance and
scalability,
* Asynchronous (non-blocking) sockets and pipes, for concurrent
processing of I/O,
* SSL for security,
* Asynchronous locking primitives similar to Python threading module,
* Asynchronous timers and timeouts,
* `Message passing <http://en.wikipedia.org/wiki/Message_passing>`_
for (local and remote) coroutines to exchange messages one-to-one
with `Message Queue Pattern
<http://en.wikipedia.org/wiki/Message_queue>`_ or through
broadcasting channels with `Publish-Subscribe Pattern
<http://en.wikipedia.org/wiki/Publish/subscribe>`_,
* `Location transparency
<http://en.wikipedia.org/wiki/Location_transparency>`_ with naming
and locating (local and remote) resources,
* Distributing computation components (code and data) for execution of
distributed communicating processes, for wide range of use cases, covering
`SIMD, MISD, MIMD <https://en.wikipedia.org/wiki/Flynn%27s_taxonomy>`_ system
architectures at the process level, `web interface
<http://asyncoro.sourceforge.net/discoro.html#client-browser-interface>`_ to
monitor cluster/application status/performance; `in-memory processing
<https://en.wikipedia.org/wiki/In-memory_processing>`_, data streaming,
real-time (live) analytics and cloud computing are supported as well,
* Monitoring and restarting of (local or remote) coroutines, for fault detection
and fault-tolerance,
* Hot-swapping of coroutine functions, for dynamic system reconfiguration,
* Thread pools with asynchronous task completions, for executing (external)
synchronous tasks, such as reading standard input.
%prep
%autosetup -n asyncoro-4.5.6
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-asyncoro -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 4.5.6-1
- Package Spec generated
|
