blob: d3694da1fc7a4fdae6a45eaf19b6c34e604d3bd2 (
plain)
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
|
%global _empty_manifest_terminate_build 0
Name: python-lazybox
Version: 0.0.2.5
Release: 1
Summary: A description of your project
License: MIT License
URL: https://github.com/limiteinductive/Databox/tree/main/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6d/9c/05b589abb45da148071dcbe8f6cbf72c914923cc3d0d8af7ad8810a28ecc/lazybox-0.0.2.5.tar.gz
BuildArch: noarch
Requires: python3-pip
Requires: python3-packaging
Requires: python3-fastai
Requires: python3-plum-dispatch
Requires: python3-Levenshtein
Requires: python3-fuzzywuzzy
%description
# LazyBox
> A user friendly API to jump-start your Deep Learning project based on Fastai.
The library is still in early development, but a lot of new features will be added in future
[ ] Support for non-image Datasets
[ ] Import NN architecture from the timm library
[ ] Make it better
## Install
`pip install lazybox`
## How to use
Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
```
# we lazy folks only use wild imports
from lazybox.all import *
path = Path('test_dataset')
path.find('archive')
```
'test_dataset/archive.zip'
Let's decompress this archive
%package -n python3-lazybox
Summary: A description of your project
Provides: python-lazybox
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-lazybox
# LazyBox
> A user friendly API to jump-start your Deep Learning project based on Fastai.
The library is still in early development, but a lot of new features will be added in future
[ ] Support for non-image Datasets
[ ] Import NN architecture from the timm library
[ ] Make it better
## Install
`pip install lazybox`
## How to use
Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
```
# we lazy folks only use wild imports
from lazybox.all import *
path = Path('test_dataset')
path.find('archive')
```
'test_dataset/archive.zip'
Let's decompress this archive
%package help
Summary: Development documents and examples for lazybox
Provides: python3-lazybox-doc
%description help
# LazyBox
> A user friendly API to jump-start your Deep Learning project based on Fastai.
The library is still in early development, but a lot of new features will be added in future
[ ] Support for non-image Datasets
[ ] Import NN architecture from the timm library
[ ] Make it better
## Install
`pip install lazybox`
## How to use
Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
```
# we lazy folks only use wild imports
from lazybox.all import *
path = Path('test_dataset')
path.find('archive')
```
'test_dataset/archive.zip'
Let's decompress this archive
%prep
%autosetup -n lazybox-0.0.2.5
%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-lazybox -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.2.5-1
- Package Spec generated
|
