Source: pyfai Maintainer: Debian PaN Maintainers Uploaders: Debian Science Maintainers , Jerome Kieffer , Picca Frédéric-Emmanuel , Section: science Priority: optional Build-Depends: bitshuffle , cython3, debhelper, debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3, pybuild-plugin-pyproject, python-dev-is-python3, python3-all-dev, python3-fabio, python3-h5py, python3-hdf5plugin, python3-matplotlib, python3-mesonpy (>= 0.11), python3-numexpr, python3-numpy, python3-pip, python3-pyopencl, python3-pyqt5, python3-scipy, python3-setuptools, python3-silx, python3-sphinx, python3-tk, xauth, xvfb, Build-Depends-Indep: dh-sequence-sphinxdoc , help2man , libjs-mathjax , pandoc , python3-nbsphinx , python3-sphinx-rtd-theme , python3-sphinxcontrib.programoutput , Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/science-team/pyfai Vcs-Git: https://salsa.debian.org/science-team/pyfai.git Homepage: https://github.com/silx-kit/pyFAI Rules-Requires-Root: no Package: pyfai Architecture: all Depends: python3-pyfai (>= ${source:Version}), ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, Description: Fast Azimuthal Integration scripts PyFAI is a Python library for azimuthal integration; it allows the conversion of diffraction images taken with 2D detectors like CCD cameras into X-Ray powder patterns that can be used by other software like Rietveld refinement tools (i.e. FullProf), phase analysis or texture analysis. . As PyFAI is a library, its main goal is to be integrated in other tools like PyMca, LiMa or EDNA. To perform online data analysis, the precise description of the experimental setup has to be known. This is the reason why PyFAI includes geometry optimization code working on "powder rings" of reference samples. Alternatively, PyFAI can also import geometries fitted with other tools like Fit2D. . PyFAI has been designed to work with any kind of detector with any geometry (transmission, reflection, off-axis, ...). It uses the Python library FabIO to read most images taken by diffractometer. Package: python3-pyfai Architecture: any Section: python Depends: python3-pyqt5, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, Description: Fast Azimuthal Integration scripts - Python3 PyFAI is a Python library for azimuthal integration; it allows the conversion of diffraction images taken with 2D detectors like CCD cameras into X-Ray powder patterns that can be used by other software like Rietveld refinement tools (i.e. FullProf), phase analysis or texture analysis. . As PyFAI is a library, its main goal is to be integrated in other tools like PyMca, LiMa or EDNA. To perform online data analysis, the precise description of the experimental setup has to be known. This is the reason why PyFAI includes geometry optimization code working on "powder rings" of reference samples. Alternatively, PyFAI can also import geometries fitted with other tools like Fit2D. . PyFAI has been designed to work with any kind of detector with any geometry (transmission, reflection, off-axis, ...). It uses the Python library FabIO to read most images taken by diffractometer. . This is the Python 3 version of the package. Package: python-pyfai-doc Architecture: all Multi-Arch: foreign Section: doc Depends: libjs-mathjax, ${misc:Depends}, ${sphinxdoc:Depends}, Description: Fast Azimuthal Integration scripts - Documentation PyFAI is a Python library for azimuthal integration; it allows the conversion of diffraction images taken with 2D detectors like CCD cameras into X-Ray powder patterns that can be used by other software like Rietveld refinement tools (i.e. FullProf), phase analysis or texture analysis. . As PyFAI is a library, its main goal is to be integrated in other tools like PyMca, LiMa or EDNA. To perform online data analysis, the precise description of the experimental setup has to be known. This is the reason why PyFAI includes geometry optimization code working on "powder rings" of reference samples. Alternatively, PyFAI can also import geometries fitted with other tools like Fit2D. . PyFAI has been designed to work with any kind of detector with any geometry (transmission, reflection, off-axis, ...). It uses the Python library FabIO to read most images taken by diffractometer. . This is the common documentation package.