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
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
|
%global _empty_manifest_terminate_build 0
Name: python-value
Version: 0.1.0
Release: 1
Summary: Implementation of Value Object pattern
License: MIT
URL: http://github.com/halst/value
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/13/d5/33f2063de7e21cf41cd6c029d2212cea9da7062e45cad37b3942bf935f7a/value-0.1.0.tar.gz
BuildArch: noarch
%description
`From Wikipedia <http://en.wikipedia.org/wiki/Value_object>`_:
A **value object** is a small object that represents a
simple entity whose equality isn't based on identity: i.e.
two value objects are equal when they have the same value,
not necessarily being the same object.
By default (if you subclass from ``object``) Python follows
"reference semantics", i.e. two objects are equal if they
are the same instance. ``Value`` class implements "value
semantics", i.e. if you subclass it your objects will be
equall if they hold the same data.
This implementation will also inspect your ``__init__``
signature to automatically assign instance variables and
produce a nice ``__repr__`` for your objects, dogether with
a suitable ``__hash__`` implementation.
Instead of asigning each instance variable manually:
>>> class Date(object):
``Value`` defines ``__new__`` that will look at your
``__init__`` signature and assign instance variables based
on it:
>>> from value import Value
>>> class Date(Value):
>>> Date(2013, 3).year == 2013
True
>>> Date(2013, 3).month == 3
True
>>> Date(2013, 3).day == 1
True
``Value`` defines ``__eq__`` and ``__ne__`` to implement
value object semantics, i.e. objects holding the same data
are compared equal:
>>> Date(2013, 3, 18) == Date(2013, 3, 18)
True
>>> Date(2013, 3, 18) != Date(1988)
True
``Value`` also defines ``__repr__`` for you based on
``__init__`` signature:
>>> repr(Date(2013, 3, 18))
'Date(2013, 3, 18)'
>>> repr(Date(1988, 1, 1))
'Date(1988)'
``Value`` also defines ``__hash__`` for you, so that
instances could be used in sets and as dictionary keys.
%package -n python3-value
Summary: Implementation of Value Object pattern
Provides: python-value
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-value
`From Wikipedia <http://en.wikipedia.org/wiki/Value_object>`_:
A **value object** is a small object that represents a
simple entity whose equality isn't based on identity: i.e.
two value objects are equal when they have the same value,
not necessarily being the same object.
By default (if you subclass from ``object``) Python follows
"reference semantics", i.e. two objects are equal if they
are the same instance. ``Value`` class implements "value
semantics", i.e. if you subclass it your objects will be
equall if they hold the same data.
This implementation will also inspect your ``__init__``
signature to automatically assign instance variables and
produce a nice ``__repr__`` for your objects, dogether with
a suitable ``__hash__`` implementation.
Instead of asigning each instance variable manually:
>>> class Date(object):
``Value`` defines ``__new__`` that will look at your
``__init__`` signature and assign instance variables based
on it:
>>> from value import Value
>>> class Date(Value):
>>> Date(2013, 3).year == 2013
True
>>> Date(2013, 3).month == 3
True
>>> Date(2013, 3).day == 1
True
``Value`` defines ``__eq__`` and ``__ne__`` to implement
value object semantics, i.e. objects holding the same data
are compared equal:
>>> Date(2013, 3, 18) == Date(2013, 3, 18)
True
>>> Date(2013, 3, 18) != Date(1988)
True
``Value`` also defines ``__repr__`` for you based on
``__init__`` signature:
>>> repr(Date(2013, 3, 18))
'Date(2013, 3, 18)'
>>> repr(Date(1988, 1, 1))
'Date(1988)'
``Value`` also defines ``__hash__`` for you, so that
instances could be used in sets and as dictionary keys.
%package help
Summary: Development documents and examples for value
Provides: python3-value-doc
%description help
`From Wikipedia <http://en.wikipedia.org/wiki/Value_object>`_:
A **value object** is a small object that represents a
simple entity whose equality isn't based on identity: i.e.
two value objects are equal when they have the same value,
not necessarily being the same object.
By default (if you subclass from ``object``) Python follows
"reference semantics", i.e. two objects are equal if they
are the same instance. ``Value`` class implements "value
semantics", i.e. if you subclass it your objects will be
equall if they hold the same data.
This implementation will also inspect your ``__init__``
signature to automatically assign instance variables and
produce a nice ``__repr__`` for your objects, dogether with
a suitable ``__hash__`` implementation.
Instead of asigning each instance variable manually:
>>> class Date(object):
``Value`` defines ``__new__`` that will look at your
``__init__`` signature and assign instance variables based
on it:
>>> from value import Value
>>> class Date(Value):
>>> Date(2013, 3).year == 2013
True
>>> Date(2013, 3).month == 3
True
>>> Date(2013, 3).day == 1
True
``Value`` defines ``__eq__`` and ``__ne__`` to implement
value object semantics, i.e. objects holding the same data
are compared equal:
>>> Date(2013, 3, 18) == Date(2013, 3, 18)
True
>>> Date(2013, 3, 18) != Date(1988)
True
``Value`` also defines ``__repr__`` for you based on
``__init__`` signature:
>>> repr(Date(2013, 3, 18))
'Date(2013, 3, 18)'
>>> repr(Date(1988, 1, 1))
'Date(1988)'
``Value`` also defines ``__hash__`` for you, so that
instances could be used in sets and as dictionary keys.
%prep
%autosetup -n value-0.1.0
%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-value -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
- Package Spec generated
|
