国际货币基金组织包：一个实现质量函数及分析它们的统计工具的工具包
The IMF package: a toolkit implementing mass functions and statistical tools to analyze them
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中文总结 AI 辅助
天体物理学中质量函数应用广泛，恒星初始质量函数作用关键但相关工具少。介绍了imf包，它是集成于Python生态系统的库，能将多种质量函数实现为概率分布函数，可执行相关操作且已公开获取。
中文摘要 AI 辅助
质量函数在天体物理学的各个领域都有应用。特别是恒星初始质量函数（IMF），在星系中恒星群体建模中起着核心作用。然而，很少有直接处理IMF及其前身函数的专用工具。我们展示了imf包，它是一个集成到更广泛科学Python生态系统中的Python库，基于SciPy的统计架构将常见和变体形式的质量函数实现为概率分布函数。该包能对多种高度可定制的质量函数执行采样和积分等操作。imf可在Python包索引pypi上以项目名initial_mass_function公开获取。
英文摘要
Mass functions are used in all areas of astrophysics. The stellar initial mass function (IMF), in particular, plays a central role in modeling stellar populations in galaxies. However, few dedicated tools for working directly with the IMF and its precursor functions are widely available. We present the $\texttt{imf}$ package, a Python library integrated into the wider scientific Python ecosystem that implements common and variant forms of mass functions, especially the IMF and its pre- and protostellar equivalents, as probability distribution functions based on SciPy's statistics architecture. This package enables the performance of operations such as sampling and integration on a wide array of highly customizable mass functions. $\texttt{imf}$ is publicly available on the Python package index $\texttt{pypi}$ under the project name $\texttt{initial_mass_function}$.
