软件包：python3-dials（3.22.1+dfsg3-1）
Diffraction Integration for Advanced Light Sources - Python3
The DIALS software is developed in a fully open-source, collaborative environment. The main development teams are based at Diamond Light Source and CCP4, in the UK, and at Lawrence Berkeley National Laboratory, USA. However, in the spirit of the open source movement, we welcome collaboration from anyone who wishes to contribute to the project.
To avoid “reinventing the wheel” as much as possible, the DIALS project builds on knowledge accumulated over many decades in the field of crystallographic data processing. We benefit greatly from the altruism of experts who contribute their ideas and advice, either directly or via their detailed publications on existing algorithms and packages such as XDS [2] and MOSFLM [3]. At the heart of the DIALS framework lies a design philosophy of hardware abstraction and a generalised model of the experiment that is inspired directly by material published on the seminal workshops on position sensitive detector software [1]. Continuing in the spirit of these workshops we held our own series of meetings, with talks from invited speakers, and code camps in which specific problems are addressed by intensive effort across the collaboration. Summaries of these meetings and copies of slides given as presentations are available here.
DIALS is written using Python and C++, making heavy use of the cctbx [4] for core crystallographic calculations and much infrastructure including a complete build system. Seamless interaction between the C++ and Python components of this hybrid system is enabled by Boost.Python. Python provides a useful ground for rapid prototyping, after which core algorithms and data structures may be transferred over to C++ for speed. High level interfaces of the hybrid system remain in Python, facilitating further development and code reuse both within DIALS and by third parties.
This is the Python 3 version of the package.
其他与 python3-dials 有关的软件包
|
|
|
|
-
- dep: libboost-python1.83.0 (>= 1.83.0)
- Boost.Python Library
-
- dep: libboost-python1.83.0-py312
- 本虚包由这些包填实： libboost-python1.83.0
-
- dep: libboost-python1.83.0-py313
- 本虚包由这些包填实： libboost-python1.83.0
-
- dep: libboost-thread1.83.0 (>= 1.83.0)
- portable C++ multi-threading
-
- dep: libc6 (>= 2.38)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
-
- dep: libcctbx0 (>= 2024.10+ds2+~3.22.1+ds1)
- Computational Crystallography Toolbox - runtime libraries
-
- dep: libgcc-s1 (>= 3.0)
- GCC 支持库
-
- dep: libjs-bootstrap
- HTML, CSS and JS framework
-
- dep: libjs-jquery
- JavaScript library for dynamic web applications
-
- dep: libjs-katex
- Fast math typesetting for the web (for browsers)
-
- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
-
- dep: libstdc++6 (>= 14)
- GNU 标准 C++ 库，第3版
-
- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.12~)
-
- dep: python3-cctbx
- Python Toolbox for crystallography
-
- dep: python3-jinja2
- small but fast and easy to use stand-alone template engine
-
- dep: python3-ordered-set
- ordered set implementation for Python 3
-
- dep: python3-pandas
- data structures for "relational" or "labeled" data
-
- dep: python3-plotly
- Python 3 plotting library for publication-quality graphs
-
- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
-
- dep: python3-pyfai
- Fast Azimuthal Integration scripts - Python3
-
- dep: python3-sklearn
- Python modules for machine learning and data mining - Python 3
-
- dep: python3-tabulate
- pretty-print tabular data in Python3