diff options
Diffstat (limited to 'python-slicer.spec')
| -rw-r--r-- | python-slicer.spec | 420 |
1 files changed, 420 insertions, 0 deletions
diff --git a/python-slicer.spec b/python-slicer.spec new file mode 100644 index 0000000..8c594a1 --- /dev/null +++ b/python-slicer.spec @@ -0,0 +1,420 @@ +%global _empty_manifest_terminate_build 0 +Name: python-slicer +Version: 0.0.7 +Release: 1 +Summary: A small package for big slicing. +License: MIT License +URL: https://github.com/interpretml/slicer +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5f/1a/0388801c10441b1060f7e9dbb540544e602e6fe774359c6fa5c17df9679e/slicer-0.0.7.tar.gz +BuildArch: noarch + + +%description +# slicer [alpha] + + + + + + + +*(Equal Contribution) Samuel Jenkins & Harsha Nori & Scott Lundberg* + +**slicer** wraps tensor-like objects and provides a uniform slicing interface via `__getitem__`. + +<br/> +It supports many data types including: + + +[numpy](https://github.com/numpy/numpy) | +[pandas](https://github.com/pandas-dev/pandas) | +[scipy](https://docs.scipy.org/doc/scipy/reference/sparse.html) | +[pytorch](https://github.com/pytorch/pytorch) | +[list](https://github.com/python/cpython) | +[tuple](https://github.com/python/cpython) | +[dict](https://github.com/python/cpython) + +And enables upgraded slicing functionality on its objects: +```python +# Handles non-integer indexes for slicing. +S(df)[:, ["Age", "Income"]] + +# Handles nested slicing in one call. +S(nested_list)[..., :5] +``` + +It can also simultaneously slice many objects at once: +```python +# Gets first elements of both objects. +S(first=df, second=ar)[0, :] +``` + +This package has **0** dependencies. Not even one. + +## Installation + +Python 3.6+ | Linux, Mac, Windows +```sh +pip install slicer +``` + +## Getting Started + +Basic anonymous slicing: +```python +from slicer import Slicer as S +li = [[1, 2, 3], [4, 5, 6]] +S(li)[:, 0:2].o +# [[1, 2], [4, 5]] +di = {'x': [1, 2, 3], 'y': [4, 5, 6]} +S(di)[:, 0:2].o +# {'x': [1, 2], 'y': [4, 5]} +``` + +Basic named slicing: +```python +import pandas as pd +import numpy as np +df = pd.DataFrame({'A': [1, 3], 'B': [2, 4]}) +ar = np.array([[5, 6], [7, 8]]) +sliced = S(first=df, second=ar)[0, :] +sliced.first +# A 1 +# B 2 +# Name: 0, dtype: int64 +sliced.second +# array([5, 6]) +``` + +Real example: +```python +from slicer import Slicer as S +from slicer import Alias as A + +data = [[1, 2], [3, 4]] +values = [[5, 6], [7, 8]] +identifiers = ["id1", "id1"] +instance_names = ["r1", "r2"] +feature_names = ["f1", "f2"] +full_name = "A" + +slicer = S( + data=data, + values=values, + # Aliases are objects that also function as slicing keys. + # A(obj, dim) where dim informs what dimension it can be sliced on. + identifiers=A(identifiers, 0), + instance_names=A(instance_names, 0), + feature_names=A(feature_names, 1), + full_name=full_name, +) + +sliced = slicer[:, 1] # Tensor-like parallel slicing on all objects +assert sliced.data == [2, 4] +assert sliced.instance_names == ["r1", "r2"] +assert sliced.feature_names == "f2" +assert sliced.values == [6, 8] + +sliced = slicer["r1", "f2"] # Example use of aliasing +assert sliced.data == 2 +assert sliced.feature_names == "f2" +assert sliced.instance_names == "r1" +assert sliced.values == 6 +``` + +## Contact us +Raise an issue on GitHub, or contact us at interpret@microsoft.com + + + + +%package -n python3-slicer +Summary: A small package for big slicing. +Provides: python-slicer +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-slicer +# slicer [alpha] + + + + + + + +*(Equal Contribution) Samuel Jenkins & Harsha Nori & Scott Lundberg* + +**slicer** wraps tensor-like objects and provides a uniform slicing interface via `__getitem__`. + +<br/> +It supports many data types including: + + +[numpy](https://github.com/numpy/numpy) | +[pandas](https://github.com/pandas-dev/pandas) | +[scipy](https://docs.scipy.org/doc/scipy/reference/sparse.html) | +[pytorch](https://github.com/pytorch/pytorch) | +[list](https://github.com/python/cpython) | +[tuple](https://github.com/python/cpython) | +[dict](https://github.com/python/cpython) + +And enables upgraded slicing functionality on its objects: +```python +# Handles non-integer indexes for slicing. +S(df)[:, ["Age", "Income"]] + +# Handles nested slicing in one call. +S(nested_list)[..., :5] +``` + +It can also simultaneously slice many objects at once: +```python +# Gets first elements of both objects. +S(first=df, second=ar)[0, :] +``` + +This package has **0** dependencies. Not even one. + +## Installation + +Python 3.6+ | Linux, Mac, Windows +```sh +pip install slicer +``` + +## Getting Started + +Basic anonymous slicing: +```python +from slicer import Slicer as S +li = [[1, 2, 3], [4, 5, 6]] +S(li)[:, 0:2].o +# [[1, 2], [4, 5]] +di = {'x': [1, 2, 3], 'y': [4, 5, 6]} +S(di)[:, 0:2].o +# {'x': [1, 2], 'y': [4, 5]} +``` + +Basic named slicing: +```python +import pandas as pd +import numpy as np +df = pd.DataFrame({'A': [1, 3], 'B': [2, 4]}) +ar = np.array([[5, 6], [7, 8]]) +sliced = S(first=df, second=ar)[0, :] +sliced.first +# A 1 +# B 2 +# Name: 0, dtype: int64 +sliced.second +# array([5, 6]) +``` + +Real example: +```python +from slicer import Slicer as S +from slicer import Alias as A + +data = [[1, 2], [3, 4]] +values = [[5, 6], [7, 8]] +identifiers = ["id1", "id1"] +instance_names = ["r1", "r2"] +feature_names = ["f1", "f2"] +full_name = "A" + +slicer = S( + data=data, + values=values, + # Aliases are objects that also function as slicing keys. + # A(obj, dim) where dim informs what dimension it can be sliced on. + identifiers=A(identifiers, 0), + instance_names=A(instance_names, 0), + feature_names=A(feature_names, 1), + full_name=full_name, +) + +sliced = slicer[:, 1] # Tensor-like parallel slicing on all objects +assert sliced.data == [2, 4] +assert sliced.instance_names == ["r1", "r2"] +assert sliced.feature_names == "f2" +assert sliced.values == [6, 8] + +sliced = slicer["r1", "f2"] # Example use of aliasing +assert sliced.data == 2 +assert sliced.feature_names == "f2" +assert sliced.instance_names == "r1" +assert sliced.values == 6 +``` + +## Contact us +Raise an issue on GitHub, or contact us at interpret@microsoft.com + + + + +%package help +Summary: Development documents and examples for slicer +Provides: python3-slicer-doc +%description help +# slicer [alpha] + + + + + + + +*(Equal Contribution) Samuel Jenkins & Harsha Nori & Scott Lundberg* + +**slicer** wraps tensor-like objects and provides a uniform slicing interface via `__getitem__`. + +<br/> +It supports many data types including: + + +[numpy](https://github.com/numpy/numpy) | +[pandas](https://github.com/pandas-dev/pandas) | +[scipy](https://docs.scipy.org/doc/scipy/reference/sparse.html) | +[pytorch](https://github.com/pytorch/pytorch) | +[list](https://github.com/python/cpython) | +[tuple](https://github.com/python/cpython) | +[dict](https://github.com/python/cpython) + +And enables upgraded slicing functionality on its objects: +```python +# Handles non-integer indexes for slicing. +S(df)[:, ["Age", "Income"]] + +# Handles nested slicing in one call. +S(nested_list)[..., :5] +``` + +It can also simultaneously slice many objects at once: +```python +# Gets first elements of both objects. +S(first=df, second=ar)[0, :] +``` + +This package has **0** dependencies. Not even one. + +## Installation + +Python 3.6+ | Linux, Mac, Windows +```sh +pip install slicer +``` + +## Getting Started + +Basic anonymous slicing: +```python +from slicer import Slicer as S +li = [[1, 2, 3], [4, 5, 6]] +S(li)[:, 0:2].o +# [[1, 2], [4, 5]] +di = {'x': [1, 2, 3], 'y': [4, 5, 6]} +S(di)[:, 0:2].o +# {'x': [1, 2], 'y': [4, 5]} +``` + +Basic named slicing: +```python +import pandas as pd +import numpy as np +df = pd.DataFrame({'A': [1, 3], 'B': [2, 4]}) +ar = np.array([[5, 6], [7, 8]]) +sliced = S(first=df, second=ar)[0, :] +sliced.first +# A 1 +# B 2 +# Name: 0, dtype: int64 +sliced.second +# array([5, 6]) +``` + +Real example: +```python +from slicer import Slicer as S +from slicer import Alias as A + +data = [[1, 2], [3, 4]] +values = [[5, 6], [7, 8]] +identifiers = ["id1", "id1"] +instance_names = ["r1", "r2"] +feature_names = ["f1", "f2"] +full_name = "A" + +slicer = S( + data=data, + values=values, + # Aliases are objects that also function as slicing keys. + # A(obj, dim) where dim informs what dimension it can be sliced on. + identifiers=A(identifiers, 0), + instance_names=A(instance_names, 0), + feature_names=A(feature_names, 1), + full_name=full_name, +) + +sliced = slicer[:, 1] # Tensor-like parallel slicing on all objects +assert sliced.data == [2, 4] +assert sliced.instance_names == ["r1", "r2"] +assert sliced.feature_names == "f2" +assert sliced.values == [6, 8] + +sliced = slicer["r1", "f2"] # Example use of aliasing +assert sliced.data == 2 +assert sliced.feature_names == "f2" +assert sliced.instance_names == "r1" +assert sliced.values == 6 +``` + +## Contact us +Raise an issue on GitHub, or contact us at interpret@microsoft.com + + + + +%prep +%autosetup -n slicer-0.0.7 + +%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-slicer -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.7-1 +- Package Spec generated |