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@@ -0,0 +1 @@ +/decorators-2.0.7.tar.gz diff --git a/python-decorators.spec b/python-decorators.spec new file mode 100644 index 0000000..36313e6 --- /dev/null +++ b/python-decorators.spec @@ -0,0 +1,498 @@ +%global _empty_manifest_terminate_build 0 +Name: python-decorators +Version: 2.0.7 +Release: 1 +Summary: Quickly create flexible Python decorators +License: MIT +URL: http://github.com/jaymon/decorators +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a7/4c/65a90f8c6696971e3913e0567fd59173a7f6a2b86ad618b186b2f45399df/decorators-2.0.7.tar.gz +BuildArch: noarch + + +%description +# Decorators + +## The problem + +Python has a few forms for decorators, you can have a plain simple decorator, with no arguments: + +```python +@mydecorator +def foo(): pass +``` + +Or a decorator with some arguments: + +```python +@mydecorator(1, 2) +def foo(): pass +``` + +You can even decorate a class: + +```python +@mydecorator +class Foo(object): pass +``` + +and each form is a little different to implement. This was frustrating if you wanted to create easy to use decorators where the developer didn't need to worry about `@mydecorator()` working differently than `@mydecorator`. + + +## decorators module + +The `decorators.Decorator` class allows you to easily create broad decorators that encompass all forms and all types (functions, methods, classes) using the same interface: + +```python +import decorators + +class mydecorator(decorators.Decorator): + def decorate_func(self, func, *dec_args, **dec_kwargs): + def decorator(*args, *kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("You passed into your function these arguments", args, kwargs) + print("Your function is", func) + return func(*args, **kwargs) + + return decorator + + def decorate_class(self, klass, *dec_args, **dec_kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("Your class is", klass) + return klass +``` + +You can then use this decorator: + +```python +@mydecorator +def foo(): print "foo()" + +@mydecorator(1, 2, boom="blam") +def bar(*args, **kwargs): print "bar()" + +@mydecorator +class Baz(object): pass + +@mydecorator(1, 2, boom="blam") +class Che(object): pass +``` + +Now, your decorator can decorate functions or classes, pass in arguments, or not, and you never have to worry about the subtle differences between the decorators, and best of all, you don't have to duplicate code. + + +## Other decorators + +### FuncDecorator, ClassDecorator, and InstanceDecorator + +The `Decorator` class is good if you want to create a decorator that is totally flexible, if you want to enforce your decorator only being used for a function/method, you can use `FuncDecorator`. If you want to only decorate a class, use `ClassDecorator`, and if you want to decorate every instance of a class, use `InstanceDecorator`. + +Whatever child class you use, you override the `decorate` method to return your decorator function: + +```python +import decorators + +class only_func(FuncDecorator): + def decorate(self, func, *dec_a, **dec_kw): + def decorator(*args, **kwargs): + return func(*args, **kwargs) + return decorator + +# this will work +@only_func +def foo(): pass + +# this will fail +@only_func +class Foo(object): pass +``` + + +### Property Decorator + +The `property` decorator is a drop-in replacement for Python's built-in `property` decorator, with additional functionality: + +```python +from decorators import property + +class Foo(object): + @property + def bar(self): + """This will act just like python's built-in @property decorator""" + return 1 + + @property(cached="_che") + def che(self): + """This will cache the return value into _che and add a setter/deleter""" + return 1 +``` + + +### Classproperty Decorator + +Allows you to create a property on the class: + +```python +from decorators import classproperty + +class Foo(object): + @classproperty + def bar(cls): + """Available as Foo.bar""" + return 1 + +print(Foo.bar) # 1 +``` + + +## Installation + +Use pip: + + pip install decorators + +Or, to get the latest and greatest from source: + + pip install -U "git+https://github.com/Jaymon/decorators#egg=decorators" + +%package -n python3-decorators +Summary: Quickly create flexible Python decorators +Provides: python-decorators +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-decorators +# Decorators + +## The problem + +Python has a few forms for decorators, you can have a plain simple decorator, with no arguments: + +```python +@mydecorator +def foo(): pass +``` + +Or a decorator with some arguments: + +```python +@mydecorator(1, 2) +def foo(): pass +``` + +You can even decorate a class: + +```python +@mydecorator +class Foo(object): pass +``` + +and each form is a little different to implement. This was frustrating if you wanted to create easy to use decorators where the developer didn't need to worry about `@mydecorator()` working differently than `@mydecorator`. + + +## decorators module + +The `decorators.Decorator` class allows you to easily create broad decorators that encompass all forms and all types (functions, methods, classes) using the same interface: + +```python +import decorators + +class mydecorator(decorators.Decorator): + def decorate_func(self, func, *dec_args, **dec_kwargs): + def decorator(*args, *kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("You passed into your function these arguments", args, kwargs) + print("Your function is", func) + return func(*args, **kwargs) + + return decorator + + def decorate_class(self, klass, *dec_args, **dec_kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("Your class is", klass) + return klass +``` + +You can then use this decorator: + +```python +@mydecorator +def foo(): print "foo()" + +@mydecorator(1, 2, boom="blam") +def bar(*args, **kwargs): print "bar()" + +@mydecorator +class Baz(object): pass + +@mydecorator(1, 2, boom="blam") +class Che(object): pass +``` + +Now, your decorator can decorate functions or classes, pass in arguments, or not, and you never have to worry about the subtle differences between the decorators, and best of all, you don't have to duplicate code. + + +## Other decorators + +### FuncDecorator, ClassDecorator, and InstanceDecorator + +The `Decorator` class is good if you want to create a decorator that is totally flexible, if you want to enforce your decorator only being used for a function/method, you can use `FuncDecorator`. If you want to only decorate a class, use `ClassDecorator`, and if you want to decorate every instance of a class, use `InstanceDecorator`. + +Whatever child class you use, you override the `decorate` method to return your decorator function: + +```python +import decorators + +class only_func(FuncDecorator): + def decorate(self, func, *dec_a, **dec_kw): + def decorator(*args, **kwargs): + return func(*args, **kwargs) + return decorator + +# this will work +@only_func +def foo(): pass + +# this will fail +@only_func +class Foo(object): pass +``` + + +### Property Decorator + +The `property` decorator is a drop-in replacement for Python's built-in `property` decorator, with additional functionality: + +```python +from decorators import property + +class Foo(object): + @property + def bar(self): + """This will act just like python's built-in @property decorator""" + return 1 + + @property(cached="_che") + def che(self): + """This will cache the return value into _che and add a setter/deleter""" + return 1 +``` + + +### Classproperty Decorator + +Allows you to create a property on the class: + +```python +from decorators import classproperty + +class Foo(object): + @classproperty + def bar(cls): + """Available as Foo.bar""" + return 1 + +print(Foo.bar) # 1 +``` + + +## Installation + +Use pip: + + pip install decorators + +Or, to get the latest and greatest from source: + + pip install -U "git+https://github.com/Jaymon/decorators#egg=decorators" + +%package help +Summary: Development documents and examples for decorators +Provides: python3-decorators-doc +%description help +# Decorators + +## The problem + +Python has a few forms for decorators, you can have a plain simple decorator, with no arguments: + +```python +@mydecorator +def foo(): pass +``` + +Or a decorator with some arguments: + +```python +@mydecorator(1, 2) +def foo(): pass +``` + +You can even decorate a class: + +```python +@mydecorator +class Foo(object): pass +``` + +and each form is a little different to implement. This was frustrating if you wanted to create easy to use decorators where the developer didn't need to worry about `@mydecorator()` working differently than `@mydecorator`. + + +## decorators module + +The `decorators.Decorator` class allows you to easily create broad decorators that encompass all forms and all types (functions, methods, classes) using the same interface: + +```python +import decorators + +class mydecorator(decorators.Decorator): + def decorate_func(self, func, *dec_args, **dec_kwargs): + def decorator(*args, *kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("You passed into your function these arguments", args, kwargs) + print("Your function is", func) + return func(*args, **kwargs) + + return decorator + + def decorate_class(self, klass, *dec_args, **dec_kwargs): + print("You passed into the decorator these arguments", dec_args, dec_kwargs) + print("Your class is", klass) + return klass +``` + +You can then use this decorator: + +```python +@mydecorator +def foo(): print "foo()" + +@mydecorator(1, 2, boom="blam") +def bar(*args, **kwargs): print "bar()" + +@mydecorator +class Baz(object): pass + +@mydecorator(1, 2, boom="blam") +class Che(object): pass +``` + +Now, your decorator can decorate functions or classes, pass in arguments, or not, and you never have to worry about the subtle differences between the decorators, and best of all, you don't have to duplicate code. + + +## Other decorators + +### FuncDecorator, ClassDecorator, and InstanceDecorator + +The `Decorator` class is good if you want to create a decorator that is totally flexible, if you want to enforce your decorator only being used for a function/method, you can use `FuncDecorator`. If you want to only decorate a class, use `ClassDecorator`, and if you want to decorate every instance of a class, use `InstanceDecorator`. + +Whatever child class you use, you override the `decorate` method to return your decorator function: + +```python +import decorators + +class only_func(FuncDecorator): + def decorate(self, func, *dec_a, **dec_kw): + def decorator(*args, **kwargs): + return func(*args, **kwargs) + return decorator + +# this will work +@only_func +def foo(): pass + +# this will fail +@only_func +class Foo(object): pass +``` + + +### Property Decorator + +The `property` decorator is a drop-in replacement for Python's built-in `property` decorator, with additional functionality: + +```python +from decorators import property + +class Foo(object): + @property + def bar(self): + """This will act just like python's built-in @property decorator""" + return 1 + + @property(cached="_che") + def che(self): + """This will cache the return value into _che and add a setter/deleter""" + return 1 +``` + + +### Classproperty Decorator + +Allows you to create a property on the class: + +```python +from decorators import classproperty + +class Foo(object): + @classproperty + def bar(cls): + """Available as Foo.bar""" + return 1 + +print(Foo.bar) # 1 +``` + + +## Installation + +Use pip: + + pip install decorators + +Or, to get the latest and greatest from source: + + pip install -U "git+https://github.com/Jaymon/decorators#egg=decorators" + +%prep +%autosetup -n decorators-2.0.7 + +%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-decorators -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.7-1 +- Package Spec generated @@ -0,0 +1 @@ +06a20bc13de0780bb258ec71a349efec decorators-2.0.7.tar.gz |