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|
%global _empty_manifest_terminate_build 0
Name: python-onecache
Version: 0.5.0
Release: 1
Summary: Python cache for sync and async code
License: MIT
URL: https://pypi.org/project/onecache/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f8/b3/6acdbd261d8e879540ea06af832eeb55f8e60550bad033805621dd500890/onecache-0.5.0.tar.gz
BuildArch: noarch
%description
[](https://coveralls.io/github/sonic182/onecache?branch=master)
# OneCache
Python cache for sync and async code.
Cache uses LRU algoritm. Cache can optionally have TTL.
Tested in python 3.7, 3.9, and pypy3.9 for windows, mac and linux (see github status badge), it should work in versions between them. It may work for python3.6
# Usage
```python
from onecache import CacheDecorator
from onecache import AsyncCacheDecorator
class Counter:
def __init__(self, count=0):
self.count = count
@pytest.mark.asyncio
async def test_async_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@AsyncCacheDecorator()
async def mycoro(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (await mycoro(counter))
assert 1 == (await mycoro(counter))
def test_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@CacheDecorator()
def sample(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (sample(counter))
assert 1 == (sample(counter))
```
Decorator classes supports the following arguments
* **maxsize (int)**: Maximun number of items to be cached. default: 512
* **ttl (int)**: time to expire in milliseconds, if None, it does not expire. default: None
* **skip_args (bool)**: apply cache as the function doesn't have any arguments, default: False
* **cache_class (class)**: Class to use for cache instance. default: LRUCache
* **refresh_ttl (bool)**: if cache with ttl, This flag makes key expiration timestamp to be refresh per access. default: False
* **thread_safe (bool)**: tell decorator to use thread safe lock. default=False
* **max_mem_size (int)**: max mem size in bytes. Ceil for sum of cache values sizes. default=None which means no limit. For pypy this value is ignored as the objects can change by the JIT compilation.
If num of records exceds maxsize, it drops the oldest.
# Development
Install packages with pip-tools:
```bash
pip install pip-tools
pip-compile
pip-compile test-requirements.in
pip-sync requirements.txt test-requirements.txt
```
# Contribute
1. Fork
2. create a branch `feature/your_feature`
3. commit - push - pull request
Thanks :)
%package -n python3-onecache
Summary: Python cache for sync and async code
Provides: python-onecache
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-onecache
[](https://coveralls.io/github/sonic182/onecache?branch=master)
# OneCache
Python cache for sync and async code.
Cache uses LRU algoritm. Cache can optionally have TTL.
Tested in python 3.7, 3.9, and pypy3.9 for windows, mac and linux (see github status badge), it should work in versions between them. It may work for python3.6
# Usage
```python
from onecache import CacheDecorator
from onecache import AsyncCacheDecorator
class Counter:
def __init__(self, count=0):
self.count = count
@pytest.mark.asyncio
async def test_async_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@AsyncCacheDecorator()
async def mycoro(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (await mycoro(counter))
assert 1 == (await mycoro(counter))
def test_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@CacheDecorator()
def sample(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (sample(counter))
assert 1 == (sample(counter))
```
Decorator classes supports the following arguments
* **maxsize (int)**: Maximun number of items to be cached. default: 512
* **ttl (int)**: time to expire in milliseconds, if None, it does not expire. default: None
* **skip_args (bool)**: apply cache as the function doesn't have any arguments, default: False
* **cache_class (class)**: Class to use for cache instance. default: LRUCache
* **refresh_ttl (bool)**: if cache with ttl, This flag makes key expiration timestamp to be refresh per access. default: False
* **thread_safe (bool)**: tell decorator to use thread safe lock. default=False
* **max_mem_size (int)**: max mem size in bytes. Ceil for sum of cache values sizes. default=None which means no limit. For pypy this value is ignored as the objects can change by the JIT compilation.
If num of records exceds maxsize, it drops the oldest.
# Development
Install packages with pip-tools:
```bash
pip install pip-tools
pip-compile
pip-compile test-requirements.in
pip-sync requirements.txt test-requirements.txt
```
# Contribute
1. Fork
2. create a branch `feature/your_feature`
3. commit - push - pull request
Thanks :)
%package help
Summary: Development documents and examples for onecache
Provides: python3-onecache-doc
%description help
[](https://coveralls.io/github/sonic182/onecache?branch=master)
# OneCache
Python cache for sync and async code.
Cache uses LRU algoritm. Cache can optionally have TTL.
Tested in python 3.7, 3.9, and pypy3.9 for windows, mac and linux (see github status badge), it should work in versions between them. It may work for python3.6
# Usage
```python
from onecache import CacheDecorator
from onecache import AsyncCacheDecorator
class Counter:
def __init__(self, count=0):
self.count = count
@pytest.mark.asyncio
async def test_async_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@AsyncCacheDecorator()
async def mycoro(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (await mycoro(counter))
assert 1 == (await mycoro(counter))
def test_cache_counter():
"""Test async cache, counter case."""
counter = Counter()
@CacheDecorator()
def sample(counter: Counter):
counter.count += 1
return counter.count
assert 1 == (sample(counter))
assert 1 == (sample(counter))
```
Decorator classes supports the following arguments
* **maxsize (int)**: Maximun number of items to be cached. default: 512
* **ttl (int)**: time to expire in milliseconds, if None, it does not expire. default: None
* **skip_args (bool)**: apply cache as the function doesn't have any arguments, default: False
* **cache_class (class)**: Class to use for cache instance. default: LRUCache
* **refresh_ttl (bool)**: if cache with ttl, This flag makes key expiration timestamp to be refresh per access. default: False
* **thread_safe (bool)**: tell decorator to use thread safe lock. default=False
* **max_mem_size (int)**: max mem size in bytes. Ceil for sum of cache values sizes. default=None which means no limit. For pypy this value is ignored as the objects can change by the JIT compilation.
If num of records exceds maxsize, it drops the oldest.
# Development
Install packages with pip-tools:
```bash
pip install pip-tools
pip-compile
pip-compile test-requirements.in
pip-sync requirements.txt test-requirements.txt
```
# Contribute
1. Fork
2. create a branch `feature/your_feature`
3. commit - push - pull request
Thanks :)
%prep
%autosetup -n onecache-0.5.0
%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-onecache -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.0-1
- Package Spec generated
|
