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
|
%global _empty_manifest_terminate_build 0
Name: python-email-validator
Version: 2.0.0.post2
Release: 1
Summary: A robust email address syntax and deliverability validation library.
License: CC0 (copyright waived)
URL: https://github.com/JoshData/python-email-validator
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/01/c4/b3972387f0ed2374035b61b46c17367c2363b958c966cfb1607282db5b56/email_validator-2.0.0.post2.tar.gz
BuildArch: noarch
Requires: python3-dnspython
Requires: python3-idna
%description
A robust email address syntax and deliverability validation library for
Python 3.7+ by [Joshua Tauberer](https://joshdata.me).
This library validates that a string is of the form `name@example.com`
and optionally checks that the domain name is set up to receive email.
This is the sort of validation you would want when you are identifying
users by their email address like on a registration/login form (but not
necessarily for composing an email message, see below).
Key features:
* Checks that an email address has the correct syntax --- good for
registration/login forms or other uses related to identifying users.
* Gives friendly English error messages when validation fails that you
can display to end-users.
* Checks deliverability (optional): Does the domain name resolve?
(You can override the default DNS resolver to add query caching.)
* Supports internationalized domain names and internationalized local parts.
* Rejects addresses with unsafe Unicode characters, obsolete email address
syntax that you'd find unexpected, special use domain names like
`@localhost`, and domains without a dot by default. This is an
opinionated library!
* Normalizes email addresses (important for internationalized
and quoted-string addresses! see below).
* Python type annotations are used.
This is an opinionated library. You should definitely also consider using
the less-opinionated [pyIsEmail](https://github.com/michaelherold/pyIsEmail) and
[flanker](https://github.com/mailgun/flanker) if they are better for your
use case.
[](https://github.com/JoshData/python-email-validator/actions/workflows/test_and_build.yaml)
%package -n python3-email-validator
Summary: A robust email address syntax and deliverability validation library.
Provides: python-email-validator
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-email-validator
A robust email address syntax and deliverability validation library for
Python 3.7+ by [Joshua Tauberer](https://joshdata.me).
This library validates that a string is of the form `name@example.com`
and optionally checks that the domain name is set up to receive email.
This is the sort of validation you would want when you are identifying
users by their email address like on a registration/login form (but not
necessarily for composing an email message, see below).
Key features:
* Checks that an email address has the correct syntax --- good for
registration/login forms or other uses related to identifying users.
* Gives friendly English error messages when validation fails that you
can display to end-users.
* Checks deliverability (optional): Does the domain name resolve?
(You can override the default DNS resolver to add query caching.)
* Supports internationalized domain names and internationalized local parts.
* Rejects addresses with unsafe Unicode characters, obsolete email address
syntax that you'd find unexpected, special use domain names like
`@localhost`, and domains without a dot by default. This is an
opinionated library!
* Normalizes email addresses (important for internationalized
and quoted-string addresses! see below).
* Python type annotations are used.
This is an opinionated library. You should definitely also consider using
the less-opinionated [pyIsEmail](https://github.com/michaelherold/pyIsEmail) and
[flanker](https://github.com/mailgun/flanker) if they are better for your
use case.
[](https://github.com/JoshData/python-email-validator/actions/workflows/test_and_build.yaml)
%package help
Summary: Development documents and examples for email-validator
Provides: python3-email-validator-doc
%description help
A robust email address syntax and deliverability validation library for
Python 3.7+ by [Joshua Tauberer](https://joshdata.me).
This library validates that a string is of the form `name@example.com`
and optionally checks that the domain name is set up to receive email.
This is the sort of validation you would want when you are identifying
users by their email address like on a registration/login form (but not
necessarily for composing an email message, see below).
Key features:
* Checks that an email address has the correct syntax --- good for
registration/login forms or other uses related to identifying users.
* Gives friendly English error messages when validation fails that you
can display to end-users.
* Checks deliverability (optional): Does the domain name resolve?
(You can override the default DNS resolver to add query caching.)
* Supports internationalized domain names and internationalized local parts.
* Rejects addresses with unsafe Unicode characters, obsolete email address
syntax that you'd find unexpected, special use domain names like
`@localhost`, and domains without a dot by default. This is an
opinionated library!
* Normalizes email addresses (important for internationalized
and quoted-string addresses! see below).
* Python type annotations are used.
This is an opinionated library. You should definitely also consider using
the less-opinionated [pyIsEmail](https://github.com/michaelherold/pyIsEmail) and
[flanker](https://github.com/mailgun/flanker) if they are better for your
use case.
[](https://github.com/JoshData/python-email-validator/actions/workflows/test_and_build.yaml)
%prep
%autosetup -n email-validator-2.0.0.post2
%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-email-validator -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0.post2-1
- Package Spec generated
|
