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Source: hyperspy
Section: python
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Sebastien Delafond <seb@debian.org>
Build-Depends:
debhelper (>= 12),
dh-python,
# cython3,
python3-all,
python3-dev,
python3-dask,
python3-dateutil,
python3-dill,
python3-h5py,
python3-imageio,
python3-ipython,
python3-matplotlib,
python3-mock,
python3-natsort,
python3-nose,
python3-numba,
python3-numexpr,
python3-numpy,
python3-pint,
python3-ptable,
python3-pytest,
python3-pytest-instafail,
python3-pytest-mpl,
python3-pytest-rerunfailures,
python3-pytest-runner,
python3-pytest-xdist,
python3-yaml,
python3-requests,
python3-scipy,
python3-setuptools,
python3-skimage,
python3-sklearn,
python3-sparse,
python3-statsmodels,
python3-sympy,
python3-tqdm,
python3-traits,
python3-traitsui,
Standards-Version: 4.5.0
Homepage: https://github.com/hyperspy/hyperspy
Vcs-Browser: https://salsa.debian.org/science-team/hyperspy
Vcs-Git: https://salsa.debian.org/science-team/hyperspy.git
Package: python3-hyperspy
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}
Description: interactive analysis of multidimensional datasets
HyperSpy is an open source Python library for the interactive analysis
of multidimensional datasets that can be described as multidimensional
arrays of a given signal (for example, a 2D array of spectra, also known
as a spectrum image).
.
HyperSpy makes it straightforward to apply analytical procedures that
operate on an individual signal to multidimensional arrays, as well as
providing easy access to analytical tools that exploit the
multidimensionality of the dataset.
.
Its modular structure makes it easy to add features to analyze many
different types of signals.
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