python-hypothesis-doc - advanced Quickcheck style testing library (documentation)

Property Value
Distribution Ubuntu 18.04 LTS (Bionic Beaver)
Repository NeuroDebian Main i386
Package filename python-hypothesis-doc_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Package name python-hypothesis-doc
Package version 3.44.1
Package release 1~bpo9+1~nd18.04+1
Package architecture all
Package type deb
Category doc
License -
Maintainer NeuroDebian Maintainers <>
Download size 140.32 KB
Installed size 1.05 MB
Hypothesis is a library for testing your Python code against a much
larger range of examples than you would ever want to write by
hand. It's based on the Haskell library, Quickcheck, and is designed
to integrate seamlessly into your existing Python unit testing work
Hypothesis is both extremely practical and also advances the state of
the art of unit testing by some way. It's easy to use, stable, and
extremely powerful. If you're not using Hypothesis to test your
project then you're missing out.
This package contains the documentation for Hypothesis.


Package Version Architecture Repository
python-hypothesis-doc_3.44.1-2ubuntu1_all.deb 3.44.1 all Ubuntu Universe
python-hypothesis-doc_3.44.1-2ubuntu1_all.deb 3.44.1 all Ubuntu Universe
python-hypothesis-doc_3.44.1-1~bpo9+1~nd18.04+1_all.deb 3.44.1 all NeuroDebian Main
python-hypothesis-doc - - -


Name Value
libjs-sphinxdoc >= 1.0
neurodebian-popularity-contest -
sphinx-rtd-theme-common -


Type URL
Binary Package python-hypothesis-doc_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Source Package python-hypothesis

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb bionic main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver hkp:// 0xA5D32F012649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-hypothesis-doc deb package:
    # sudo apt-get install python-hypothesis-doc

See Also

Package Description
python-hypothesis_3.44.1-1~bpo9+1~nd18.04+1_all.deb advanced Quickcheck style testing library for Python 2
python-indexed-gzip_0.8.6-1~nd18.04+1_i386.deb fast random access of gzip files in Python
python-joblib_0.13.2-1~nd18.04+1_all.deb tools to provide lightweight pipelining in Python
python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb Python library for XMP metadata - documentation
python-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb Python library for XMP metadata
python-msgpack_0.4.8-1~nd18.04+1_i386.deb Python implementation of MessagePack format
python-mvpa2-doc_2.6.5-1~nd18.04+1_all.deb documentation and examples for PyMVPA v. 2
python-mvpa2-lib_2.6.5-1~nd18.04+1_i386.deb low-level implementations and bindings for PyMVPA v. 2
python-mvpa2_2.6.5-1~nd18.04+1_all.deb multivariate pattern analysis with Python v. 2
python-nibabel-doc_2.5.0-1~nd18.04+1_all.deb documentation for NiBabel
python-nibabel_2.5.0-1~nd18.04+1_all.deb Python bindings to various neuroimaging data formats
python-nipy-doc_0.4.2-2~nd18.04+1_all.deb documentation and examples for NiPy
python-nipy-lib_0.4.2-2~nd18.04+1_i386.deb Analysis of structural and functional neuroimaging data
python-nipy_0.4.2-2~nd18.04+1_all.deb Analysis of structural and functional neuroimaging data
python-nipype-doc_1.1.9-1~nd18.04+1_all.deb Neuroimaging data analysis pipelines in Python -- documentation