k3ylabs/cosoco-image-dataset huggingface dataset:
Package: python-mpltoolkits.basemap-data (1.2.2+dfsg-2build1)
Section: universe/python
Homepage: http://matplotlib.org/basemap/
Description:  matplotlib toolkit to plot on map projections (data package) The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and political boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features. . This package contains data files for python-mpltoolkits.basemap
Package: python-mpltoolkits.basemap-doc (1.2.2+dfsg-2build1)
Section: universe/doc
Homepage: http://matplotlib.org/basemap/
Depends: libjs-sphinxdoc (>= 4.3)
Description:  matplotlib toolkit to plot on map projections (documentation) The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and political boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features. . This package contains documentation and examples for python-mpltoolkits.basemap
Package: python-mpmath-doc (1.2.1-2)
Section: universe/doc
Homepage: https://www.mpmath.org/
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  library for arbitrary-precision floating-point arithmetic - Documentation Mpmath is a pure-Python library for multiprecision floating-point arithmetic. It provides an extensive set of transcendental functions, unlimited exponent sizes, complex numbers, interval arithmetic, numerical integration and differentiation, root-finding, linear algebra, and much more. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, and in many cases mpmath implements asymptotically fast algorithms that scale well for extremely high precision work. . If available, mpmath will (optionally) use gmpy to speed up high precision operations. If matplotlib is available, mpmath also provides a convenient plotting interface. . Its features include: .   * Fair performance -- typically 10-100x faster than Python's     decimal library   * Transcendental functions -- all functions from Python's math and     cmath modules, plus a few more like gamma, factorial, erf   * Complex numbers -- with support for transcendental functions   * Directed rounding -- floor, ceiling, down, up, half-down,     half-up, half-even   * Unlimited exponents -- no overflow or underflow . This package contains the documentation for mpmath Python module.
Package: python-multipledispatch-doc (0.6.0-3)
Section: universe/doc
Homepage: https://github.com/mrocklin/multipledispatch
Depends: libjs-sphinxdoc (>= 4.3)
Description:  documentation for multipledispatch This implementation of multiple dispatch is efficient, mostly complete, performs static analysis to avoid conflicts, and provides optional namespace support. It looks good too. . What this does:  * Dispatches on all non-keyword arguments  * Supports inheritance  * Supports instance methods  * Supports union types, e.g. (int, float)  * Supports builtin abstract classes, e.g. Iterator, Number, ...  * Caches for fast repeated lookup  * Identifies possible ambiguities at function definition time  * Provides hints to resolve ambiguities when they occur  * Supports namespaces with optional keyword arguments  * Supports variadic dispatch . What this doesn't do:  * Diagonal dispatch  * Efficient update: The addition of a new signature requires a full resolve    of the whole function. This becomes troublesome after you get to a few    hundred type signatures. . This package contains the documentation for multipledispatch.
Package: python-multipletau-doc (0.3.3+ds-4)
Section: universe/doc
Homepage: https://github.com/FCS-analysis/multipletau
Depends: libjs-mathjax, libjs-sphinxdoc (>= 4.3)
Description:  documentation for multipletau Python module This package contains HTML documentation for python-multipletau . An online reference is available at http://paulmueller.github.io/multipletau
Package: python-murano-pkg-check-doc (0.3.0-7)
Section: universe/doc
Homepage: http://docs.openstack.org/developer/murano/
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  murano package validator tool - doc This package provide a way to validate Murano APPs. It checks packages against a list of known files and directories, the APP manifest consistency, and many other things. . This package contains the documentation.
Package: python-muranoclient-doc (2.4.1-0ubuntu1)
Section: universe/doc
Homepage: https://opendev.org/openstack/python-muranoclient
Depends: libjs-sphinxdoc (>= 4.3)
Description:  cloud-ready application catalog - client doc Murano Project introduces an application catalog, which allows application developers and cloud administrators to publish various cloud-ready applications in a browsable categorised catalog, which may be used by the cloud users (including the inexperienced ones) to pick-up the needed applications and services and composes the reliable environments out of them in a "push-the-button" manner. . This package contains the documentation for the client.
Package: python-musicbrainzngs-doc (0.7.1-2)
Section: universe/doc
Homepage: https://github.com/alastair/python-musicbrainz-ngs/
Depends: libjs-sphinxdoc (>= 1.0)
Description:  Documentation for the Python Musicbrainz NGS interface modules This package provides documentation for the Python bindings for the Musicbrainz NGS webservice interface. . Musicbrainz is an open music encyclopedia that collects music metadata and makes it available to the public.
Package: python-mutagen-doc (1.45.1-2)
Section: universe/doc
Homepage: https://github.com/quodlibet/mutagen
Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg)
Description:  audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package.
Package: python-nacl-doc (1.5.0-2)
Section: doc
Homepage: https://github.com/pyca/pynacl/
Depends: libjs-sphinxdoc (>= 4.3)
Description:  Python bindings to libsodium (documentation) PyNaCl is a Python binding to the Networking and Cryptography library (in the form of libsodium), a crypto library with the stated goal of improving usability, security and speed. . This package contains the documentation for pynacl.
Package: python-natsort-doc (8.0.2-1)
Section: universe/doc
Homepage: https://github.com/SethMMorton/natsort
Depends: libjs-sphinxdoc (>= 4.3), libjs-mathjax
Description:  Natural sorting for Python (doc) natsort lets you apply natural sorting to your sequences easily, for example: .  >>> from natsort import natsorted  >>> a = ['a2', 'a9', 'a1', 'a4', 'a10']  >>> data = [['a1', 'a5'], ['a1', 'a40'], ['a10', 'a1'], ['a2', 'a5']]  >>> natsorted(a)  ['a1', 'a2', 'a4', 'a9', 'a10'  >>> natsorted(data)  [['a1', 'a5'], ['a1', 'a40'], ['a2', 'a5'], ['a10', 'a1']] . natsort identifies the numbers and sorts them separately from strings. . natsort comes with a shell script to use natural sorting in shell scripts. You can also execute natsort from the command line with Python -m natsort. . There exists another natural sorting package for Python called python-naturalsort. You may prefer that package if you wish to only sort version numbers. . This package contains API documentation and examples.
Package: python-navarp-doc (1.3.0-1)
Section: universe/doc
Homepage: https://gitlab.com/fbisti/navarp
Depends: libjs-sphinxdoc (>= 4.3)
Description:  Navigation tool for ARPES data (documentation) NavARP provides a navigation tool for Angle Resolved Photoemission spectroscopy data.  NavARP is a companion app during ARPES data acquitision (as in beamtime) and set of dedicated libraries helping to get high quality figures for publication. . This is the navarp documentation package.
Package: python-nbclient-doc (0.5.6-2)
Section: universe/doc
Homepage: https://github.com/jupyter/nbclient
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Client to execute jupyter notebooks (documentation) nbclient is a client library for programmatic execution of jupyter notebook files in different execution contexts. It was previously part of nbconvert (ExecutePreprocessor). . This package contains documentation.
Package: python-nbconvert-doc (6.4.0-1)
Section: universe/doc
Homepage: https://github.com/jupyter/nbconvert
Depends: libjs-jquery, libjs-mathjax, libjs-requirejs, libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.0.0+dfsg)
Description:  Jupyter notebook conversion (documentation) Jupyter nbconvert converts notebooks to various other formats using Jinja templates. . This package installs the documentation.
Package: python-nbformat-doc (5.1.3-1)
Section: universe/doc
Homepage: https://github.com/jupyter/nbformat
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Jupyter notebook format (documentation) This software component contains the reference implementation of the Jupyter notebook format, and Python APIs to work with notebooks. . This package installs the documentation.
Package: python-nbsphinx-doc (0.8.7+ds-1)
Section: universe/doc
Homepage: https://nbsphinx.rtfd.org/
Depends: node-requirejs, libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Jupyter Notebook Tools for Sphinx -- doc nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluatednotebooks, i.e., notebooks without stored output cells, will be automatically executed during the Sphinx build process. . This is the common documentation package.
Package: python-nbxmpp-doc (2.0.4-1)
Section: universe/doc
Homepage: https://dev.gajim.org/gajim/python-nbxmpp
Description:  Non blocking Jabber/XMPP Python library, documentation python-nbxmpp is a Python library that provides a way for Python applications to use Jabber/XMPP networks in a non-blocking way. This library is initialy a fork of xmpppy one, but using non-blocking sockets. . This is the documentation of this library.
Package: python-ncclient-doc (0.6.12-1)
Section: universe/doc
Homepage: https://github.com/ncclient/ncclient
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  Documentation for python-ncclient (Python library for NETCONF clients) ncclient is a Python library that facilitates client-side scripting and application development around the NETCONF protocol. . NETCONF (Network Configuration Protocol) provides mechanisms to install, manipulate, and delete the configuration of network devices. Its operations are realized on top of a simple remote procedure call (RPC) layer. . The NETCONF protocol uses an Extensible Markup Language (XML) based data encoding for the configuration data as well as the protocol messages. . This package provides the documentation of the library.
Package: python-network-runner-doc (0.2.2-2)
Section: universe/doc
Homepage: https://github.com/ansible-network/network-runner
Depends: libjs-sphinxdoc (>= 4.3)
Description:  abstraction of Ansible for interaction with networking devices (docs) Network-Runner is a python library that abstracts management and interaction with switching hardware to Ansible Networking. In theory it should work with any switch that has compatible modules included with Ansible Networking if the provider tasks are added to this librarys Ansible role. . This package provides the Sphinx generated documentation for Network-Runner.
Package: python-networking-ansible-doc (17.0.0-2)
Section: universe/doc
Homepage: https://opendev.org/x/networking-ansible
Depends: libjs-bootstrap, libjs-jquery, libjs-sphinxdoc (>= 4.3)
Description:  OpenStack virtual network service - Ansible plugin (docs) This is an Neutron ML2 plugin it uses ansible networking module to let interact Neutron with switching hardware. Furthermore it can be used independently from OpenStack. . This package provides the documentation for Networking-Ansible.
Package: python-networking-bagpipe-doc (16.0.0-0ubuntu1)
Section: universe/doc
Homepage: https://opendev.org/openstack/networking-bagpipe
Depends: libjs-sphinxdoc (>= 4.3)
Description:  Driver and agent code to use BagPipe implementation (common documentaiton) Driver and agent code to use BaGPipe lightweight implementation of BGP-based VPNs as a backend for Neutron. . This is the common documentation package.
Package: python-networking-bgpvpn-doc (16.0.0-0ubuntu1)
Section: universe/doc
Homepage: https://opendev.org/openstack/networking-bgpvpn
Depends: libjs-sphinxdoc (>= 4.3)
Description:  BGP-MPLS VPN Extension for OpenStack Networking (common documentation) This project provides an API and Framework to interconnect BGP/MPLS VPNs to Openstack Neutron networks, routers and ports. . The Border Gateway Protocol and Multi-Protocol Label Switching are widely used Wide Area Networking technologies. The primary purpose of this project is to allow attachment of Neutron networks and/or routers to VPNs built in carrier provided WANs using these standard protocols. An additional purpose of this project is to enable the use of these technologies within the Neutron networking environment. . This is the common documentation package.
Package: python-networking-odl-doc (1:20.0.0-0ubuntu1)
Section: universe/doc
Homepage: https://opendev.org/openstack/networking-odl
Depends: libjs-sphinxdoc (>= 4.3)
Description:  OpenStack Networking OpenDayLight ML2 mechanism driver - doc Neutron is a virtual network service for Openstack, and a part of Netstack. Just like OpenStack Nova provides an API to dynamically request and configure virtual servers, Neutron provides an API to dynamically request and configure virtual networks. These networks connect "interfaces" from other OpenStack services (e.g., virtual NICs from Nova VMs). The Neutron API supports extensions to provide advanced network capabilities (e.g., QoS, ACLs, network monitoring, etc.) . This package contains the documentation for the OpenDayLight mechanism driver for Neutron.
Package: python-networkx-doc (2.4-4ubuntu2)
Section: universe/doc
Homepage: http://networkx.github.io/
Depends: libjs-mathjax, libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.0.0+dfsg)
Description:  tool to create, manipulate and study complex networks - documentation NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains documentation for NetworkX.
Package: python-neutron-lib-doc (2.20.0-0ubuntu1)
Section: doc
Homepage: https://opendev.org/openstack/neutron-lib
Depends: libjs-sphinxdoc (>= 4.3)
Description:  Neutron shared routines and utilities - doc Neutron provides an API to dynamically request and configure virtual networks. These networks connect "interfaces" from other OpenStack services (such as vNICs from Nova VMs). The Neutron API supports extensions to provide advanced network capabilities, including QoS, ACLs, and network monitoring. . Neutron-lib is an OpenStack library project used by Neutron, Advanced Services, and third-party projects to provide common functionality and remove duplication. . This package contains the documentation of neutron-lib.
Package: python-nibabel-doc (3.2.2-1)
Section: universe/doc
Homepage: https://nipy.org/nibabel/
Depends: libjs-jquery, libjs-mathjax
Description:  documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays.  NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format.
Package: python-nipy-doc (0.5.0-2build1)
Section: universe/doc
Homepage: https://nipy.org/nipy/
Depends: libjs-mathjax, libjs-sphinxdoc (>= 4.3)
Description:  documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including  * User manual  * Developer guidelines  * API documentation
Package: python-nipype-doc (1.7.0-1)
Section: universe/doc
Homepage: http://nipy.sourceforge.net/nipype/
Depends: libjs-jquery, libjs-underscore
Description:  Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python.  Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats.
Package: python-nitime-doc (0.9-2)
Section: universe/doc
Homepage: https://nipy.org/nitime
Depends: libjs-jquery, libjs-underscore
Description:  timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format.
Package: python-nose-doc (1.3.7-8)
Section: universe/doc
Homepage: https://nose.readthedocs.io/en/latest/
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  documentation for discovery and running for Python's unittest nose provides an alternate test discovery and running process for unittest, one that is intended to mimic the behavior of py.test as much as is reasonably possible without resorting to too much magic . This package provides the documentation for nose.
Package: python-nose2-doc (0.9.2-1)
Section: universe/doc
Homepage: https://pypi.python.org/pypi/nose2
Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg)
Description:  Next generation of nicer testing for Python2/3 (documentation) Nose2 is testing library aimed at being compatible with unittest and providing additional features, such as timed tests, better testing for exceptions. It also provides fixture methods at the package, module, class or test case level, depending on the developer's needs. . At an extended level, nose2 also provides a lot of builtin plugins to help with specific needs, including tests coverage, profiling, or doctests. . Nose2 is based on the Nose testsuite, which is no longer developed. It provides a better plugin API and supports Python2 and Python3 from the same codebase. . This package provides the sphinx-generated documentation of nose2.
Package: python-notebook-doc (6.4.8-1ubuntu0.1)
Section: universe/doc
Homepage: https://github.com/jupyter/notebook
Depends: libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.0.0+dfsg), libjs-mathjax
Description:  Jupyter interactive notebook (documentation) The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets. . This package contains the documentation.
Package: python-novaclient-doc (2:17.6.0-0ubuntu1)
Section: doc
Homepage: https://opendev.org/openstack/python-novaclient
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Description:  client library for OpenStack Compute API - doc OpenStack Compute, codenamed Nova, is a cloud computing fabric controller designed to be modular and easy to extend and adapt. In addition to its "native" OpenStack API, it also supports the Amazon EC2 API, and it supports many different database backends (including SQLite, MySQL, and PostgreSQL), hypervisors (KVM, Xen), and user directory systems (LDAP, SQL). . Python novaclient library and nova CLI tool for interacting with OpenStack Compute (Nova) through the OpenStack Compute API. . This package provides the documentation.
Package: python-nox-doc (2022.1.7-1)
Section: universe/doc
Homepage: https://github.com/theacodes/nox/
Depends: libjs-sphinxdoc (>= 4.3)
Description:  Flexible test automation (Documentation) Nox is a command-line tool that automates testing in multiple Python environments, similar to tox. Unlike tox, Nox uses a standard Python file for configuration. It will automatically create virtualenv with the appropriate interpreter, install the specified dependencies, and run the commands in order. . This package contains the documentation.
Package: python-numpy-doc (1:1.21.5-1ubuntu22.04.1)
Section: doc
Homepage: http://www.numpy.org/
Depends: libjs-sphinxdoc (>= 4.3)
Description:  NumPy documentation Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains documentation for Numpy and f2py.