style: pre-commit fixes

paper/paper.md

@@ -39,22 +39,22 @@ at the LHC. Vector is a Python library for creating and manipulating 2D, 3D,
 and Lorentz vectors, especially arrays of vectors, to solve common physics
 problems in a NumPy-like [@harris:2020] way. The library enables physicists to
 operate on high energy physics data in a high level language without
-compromising speed. The library is already in use at LHC and is a part of 
-frameworks, like Coffea [@Gray:2023], employed by physicists across multiple 
+compromising speed. The library is already in use at LHC and is a part of
+frameworks, like Coffea [@Gray:2023], employed by physicists across multiple
 high energy physics experiments.
 
 # Statement of need
 
 Vector is currently the only Lorentz vector library providing a Pythonic
-interface but a C++ (through Awkward Array [@Pivarski:2018]) computational 
-backend. Vector integrates seamlessly with the existing high energy physics 
-ecosystem and the broader scientific Python ecosystem, including libraries like 
-Dask [@rocklin:2015] and Numba [@lam:2015]. The library implements a variety of 
-backends for several purposes. Although vector was written with high energy 
-physics in mind, it is a general-purpose library that can be used for any 
-scientific or engineering application. The library houses 3+2 numerical 
-backends for experimental physicists and 1 symbolic backend for theoretical 
-physicists. These backends include a pure Python object backend for simple 
+interface but a C++ (through Awkward Array [@Pivarski:2018]) computational
+backend. Vector integrates seamlessly with the existing high energy physics
+ecosystem and the broader scientific Python ecosystem, including libraries like
+Dask [@rocklin:2015] and Numba [@lam:2015]. The library implements a variety of
+backends for several purposes. Although vector was written with high energy
+physics in mind, it is a general-purpose library that can be used for any
+scientific or engineering application. The library houses 3+2 numerical
+backends for experimental physicists and 1 symbolic backend for theoretical
+physicists. These backends include a pure Python object backend for simple
 computations, a SymPy [@Meurer:2017] backend for symbolic computations, a
 NumPy backend for computations on regular data, an Awkward backend for
 computations on jagged data, and implementations of the Object and the Awkward
@@ -68,17 +68,17 @@ Vector has become the de facto library for vector algebra in Python based high
 energy physics data analysis pipelines. The library has been installed over
 2 million times and 314 GitHub repositories use it as a dependency at the time
 of writing this paper. Along with being utilized directly in analysis pipelines
-at LHC and other experiments [@Kling:2023; @Held:2024; @Qu:2022], the library 
-is also used as a dependency in user-facing frameworks, such as, Coffea, 
-MadMiner [@Brehmer:2020], FastJet [@aryan:2023], Spyral [@spyral-utils:2024], 
-Weaver [@weaver-core:2024], and pylhe [@pylhe]. The library is also used in 
-multiple teaching materials for graduate courses and workshops. Finally, given 
-the generic nature of the library, it is also often used in non high energy 
+at LHC and other experiments [@Kling:2023; @Held:2024; @Qu:2022], the library
+is also used as a dependency in user-facing frameworks, such as, Coffea,
+MadMiner [@Brehmer:2020], FastJet [@aryan:2023], Spyral [@spyral-utils:2024],
+Weaver [@weaver-core:2024], and pylhe [@pylhe]. The library is also used in
+multiple teaching materials for graduate courses and workshops. Finally, given
+the generic nature of the library, it is also often used in non high energy
 physics use cases.
 
 # Acknowledgements
 
-The work on vector was supported by NSF cooperative agreements OAC-1836650 
+The work on vector was supported by NSF cooperative agreements OAC-1836650
 (IRIS-HEP) and PHY-2323298 (IRIS-HEP). We would also like to thank the
 contributors of vector and the Scikit-HEP community for their support.