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@@ -0,0 +1 @@ +/instruct-0.7.2.tar.gz diff --git a/python-instruct.spec b/python-instruct.spec new file mode 100644 index 0000000..4359466 --- /dev/null +++ b/python-instruct.spec @@ -0,0 +1,182 @@ +%global _empty_manifest_terminate_build 0 +Name: python-instruct +Version: 0.7.2 +Release: 1 +Summary: please add a summary manually as the author left a blank one +License: BSD +URL: https://github.com/autumnjolitz/instruct +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/05/d8/8799e697052ca9ea2657ce14cc7127f2790d953a4dd2bb0422e851e26854/instruct-0.7.2.tar.gz +BuildArch: noarch + +Requires: python3-Jinja2 +Requires: python3-inflection +Requires: python3-typing-extensions +Requires: python3-twine +Requires: python3-pytest +Requires: python3-pytest-mock +Requires: python3-pytest +Requires: python3-pytest-mock + +%description +A compact, fast object system that can serve as the basis for a DAO model. +To that end, instruct uses ``__slots__`` to prevent new attribute addition, properties to control types, event listeners and historical changes, and a Jinja2-driven codegen to keep a pure-Python implementation as fast and as light as possible. +I want to basically have a form of strictly typed objects that behave like C structs but can handle automatically coercing incoming values correctly, have primitive events and have fast ``__iter__``, ``__eq__`` while also allowing for one to override it in the final class (and even call super!) +This girl asks for a lot but I like taking metaclassing as far as it can go without diving into using macropy. 😉 +Current Capabilities: + - Support multiple inheritance, chained fields and ``__slots__`` [Done] + - Support type coercions (via ``_coerce__``) [Done] + - Strictly-typed ability to define fixed data objects [Done] + - Ability to drop all of the above type checks [Done] + - Track changes made to the object as well as reset [Done] + - Fast ``__iter__`` [Done] + - Native support of pickle [Done]/json [Done] + - Support List[type] declarations and initializations [Done] + - optionally data class annotation-like behavior [Done] + - ``_asdict``, ``_astuple``, ``_aslist`` functions like in a NamedTuple [Done] + - ``get``, ``keys``, ``values``, ``item`` functions available in the module and in a mixin named ``mapping=True`` + + This effectively allows access like other packages e.g. ``attrs.keys(item_instance)`` + - ``bytes``/``bytearray`` are urlsafe base64 encoded by default, can override per field via a class level ``BINARY_JSON_ENCODERS = {key: encoding_function}`` [Done] + - Allow ``__coerce__`` to have a tuple of field names to avoid repetition on ``__coerce__`` definitions [Done] + - Allow use of ``Literal`` in the type (exact match of a value to a vector of values) [Done] + - Allow subtraction of properties like ``(F - {"a", "b"}).keys() == F_without_a_b.keys()`` [Done] + + This will allow one to slim down a class to a restricted subtype, like for use in a DAO system to load/hold less data. + - Allow subtraction of properties like ``(F - {"a": {"b"}).keys() == F_a_without_b.keys()`` [Done] + + This allows for one to remove fields that are unused prior to class initialization. + - Allow subtraction of properties via an inclusive list like ``(F & {"a", "b"}).keys() == F_with_only_a_and_b.keys()`` [Done] + - Allow subtraction to propagate to embedded Instruct classes like ``(F - {"a.b", "a.c"}).a.keys() == (F_a.keys() - {"b", "c"))`` [Done] + + This would really allow for complex trees of properties to be rendered down to thin SQL column selects, thus reducing data load. + - Replace references to an embedded class in a ``__coerce__`` function with the subtracted form in case of embedded property subtractions [Done] + - Allow use of Annotated i.e. ``field: Annotated[int, NoJSON, NoPickle]`` and have ``to_json`` and ``pickle.dumps(...)`` skip "field" [Done] + + Would grant a more powerful interface to controlling code-gen'ed areas via ``cls._annotated_metadata`` (maps field -> what's inside the ``Annotation``) +Next Goals: + - Allow Generics i.e. ``class F(instruct.Base, T): ...`` -> ``F[str](...)`` + + Would be able to allow specialized subtypes + - ``CStruct``-Base class that operates on an ``_cvalue`` cffi struct. + - Cython compatibility + +%package -n python3-instruct +Summary: please add a summary manually as the author left a blank one +Provides: python-instruct +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-instruct +A compact, fast object system that can serve as the basis for a DAO model. +To that end, instruct uses ``__slots__`` to prevent new attribute addition, properties to control types, event listeners and historical changes, and a Jinja2-driven codegen to keep a pure-Python implementation as fast and as light as possible. +I want to basically have a form of strictly typed objects that behave like C structs but can handle automatically coercing incoming values correctly, have primitive events and have fast ``__iter__``, ``__eq__`` while also allowing for one to override it in the final class (and even call super!) +This girl asks for a lot but I like taking metaclassing as far as it can go without diving into using macropy. 😉 +Current Capabilities: + - Support multiple inheritance, chained fields and ``__slots__`` [Done] + - Support type coercions (via ``_coerce__``) [Done] + - Strictly-typed ability to define fixed data objects [Done] + - Ability to drop all of the above type checks [Done] + - Track changes made to the object as well as reset [Done] + - Fast ``__iter__`` [Done] + - Native support of pickle [Done]/json [Done] + - Support List[type] declarations and initializations [Done] + - optionally data class annotation-like behavior [Done] + - ``_asdict``, ``_astuple``, ``_aslist`` functions like in a NamedTuple [Done] + - ``get``, ``keys``, ``values``, ``item`` functions available in the module and in a mixin named ``mapping=True`` + + This effectively allows access like other packages e.g. ``attrs.keys(item_instance)`` + - ``bytes``/``bytearray`` are urlsafe base64 encoded by default, can override per field via a class level ``BINARY_JSON_ENCODERS = {key: encoding_function}`` [Done] + - Allow ``__coerce__`` to have a tuple of field names to avoid repetition on ``__coerce__`` definitions [Done] + - Allow use of ``Literal`` in the type (exact match of a value to a vector of values) [Done] + - Allow subtraction of properties like ``(F - {"a", "b"}).keys() == F_without_a_b.keys()`` [Done] + + This will allow one to slim down a class to a restricted subtype, like for use in a DAO system to load/hold less data. + - Allow subtraction of properties like ``(F - {"a": {"b"}).keys() == F_a_without_b.keys()`` [Done] + + This allows for one to remove fields that are unused prior to class initialization. + - Allow subtraction of properties via an inclusive list like ``(F & {"a", "b"}).keys() == F_with_only_a_and_b.keys()`` [Done] + - Allow subtraction to propagate to embedded Instruct classes like ``(F - {"a.b", "a.c"}).a.keys() == (F_a.keys() - {"b", "c"))`` [Done] + + This would really allow for complex trees of properties to be rendered down to thin SQL column selects, thus reducing data load. + - Replace references to an embedded class in a ``__coerce__`` function with the subtracted form in case of embedded property subtractions [Done] + - Allow use of Annotated i.e. ``field: Annotated[int, NoJSON, NoPickle]`` and have ``to_json`` and ``pickle.dumps(...)`` skip "field" [Done] + + Would grant a more powerful interface to controlling code-gen'ed areas via ``cls._annotated_metadata`` (maps field -> what's inside the ``Annotation``) +Next Goals: + - Allow Generics i.e. ``class F(instruct.Base, T): ...`` -> ``F[str](...)`` + + Would be able to allow specialized subtypes + - ``CStruct``-Base class that operates on an ``_cvalue`` cffi struct. + - Cython compatibility + +%package help +Summary: Development documents and examples for instruct +Provides: python3-instruct-doc +%description help +A compact, fast object system that can serve as the basis for a DAO model. +To that end, instruct uses ``__slots__`` to prevent new attribute addition, properties to control types, event listeners and historical changes, and a Jinja2-driven codegen to keep a pure-Python implementation as fast and as light as possible. +I want to basically have a form of strictly typed objects that behave like C structs but can handle automatically coercing incoming values correctly, have primitive events and have fast ``__iter__``, ``__eq__`` while also allowing for one to override it in the final class (and even call super!) +This girl asks for a lot but I like taking metaclassing as far as it can go without diving into using macropy. 😉 +Current Capabilities: + - Support multiple inheritance, chained fields and ``__slots__`` [Done] + - Support type coercions (via ``_coerce__``) [Done] + - Strictly-typed ability to define fixed data objects [Done] + - Ability to drop all of the above type checks [Done] + - Track changes made to the object as well as reset [Done] + - Fast ``__iter__`` [Done] + - Native support of pickle [Done]/json [Done] + - Support List[type] declarations and initializations [Done] + - optionally data class annotation-like behavior [Done] + - ``_asdict``, ``_astuple``, ``_aslist`` functions like in a NamedTuple [Done] + - ``get``, ``keys``, ``values``, ``item`` functions available in the module and in a mixin named ``mapping=True`` + + This effectively allows access like other packages e.g. ``attrs.keys(item_instance)`` + - ``bytes``/``bytearray`` are urlsafe base64 encoded by default, can override per field via a class level ``BINARY_JSON_ENCODERS = {key: encoding_function}`` [Done] + - Allow ``__coerce__`` to have a tuple of field names to avoid repetition on ``__coerce__`` definitions [Done] + - Allow use of ``Literal`` in the type (exact match of a value to a vector of values) [Done] + - Allow subtraction of properties like ``(F - {"a", "b"}).keys() == F_without_a_b.keys()`` [Done] + + This will allow one to slim down a class to a restricted subtype, like for use in a DAO system to load/hold less data. + - Allow subtraction of properties like ``(F - {"a": {"b"}).keys() == F_a_without_b.keys()`` [Done] + + This allows for one to remove fields that are unused prior to class initialization. + - Allow subtraction of properties via an inclusive list like ``(F & {"a", "b"}).keys() == F_with_only_a_and_b.keys()`` [Done] + - Allow subtraction to propagate to embedded Instruct classes like ``(F - {"a.b", "a.c"}).a.keys() == (F_a.keys() - {"b", "c"))`` [Done] + + This would really allow for complex trees of properties to be rendered down to thin SQL column selects, thus reducing data load. + - Replace references to an embedded class in a ``__coerce__`` function with the subtracted form in case of embedded property subtractions [Done] + - Allow use of Annotated i.e. ``field: Annotated[int, NoJSON, NoPickle]`` and have ``to_json`` and ``pickle.dumps(...)`` skip "field" [Done] + + Would grant a more powerful interface to controlling code-gen'ed areas via ``cls._annotated_metadata`` (maps field -> what's inside the ``Annotation``) +Next Goals: + - Allow Generics i.e. ``class F(instruct.Base, T): ...`` -> ``F[str](...)`` + + Would be able to allow specialized subtypes + - ``CStruct``-Base class that operates on an ``_cvalue`` cffi struct. + - Cython compatibility + +%prep +%autosetup -n instruct-0.7.2 + +%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-instruct -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.2-1 +- Package Spec generated @@ -0,0 +1 @@ +184820a5b1d71622e9ef547eae260e77 instruct-0.7.2.tar.gz |