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Package: python3-cappa
Description-md5: 948766d9db202b89b54ed916fcba9dd6
Description-en: Declarative CLI argument parser
 Cappa is a declarative command line parsing library, which uses runtime
 type inspection to infer (default) CLI argument behavior, and provide
 automatic help text generation and dynamic completion generation.
 .
 This package provides the Python 3.x cappa module.

.
23167a
Description-md5: c53c70dca7ff74e285f88be70de72a0f
Description-en: protocol buffers compiler library
 Protocol buffers are a flexible, efficient, automated mechanism for
 serializing structured data - similar to XML, but smaller, faster, and
 simpler. You define how you want your data to be structured once, then you can
 use special generated source code to easily write and read your structured
 data to and from a variety of data streams and using a variety of languages.
 You can even update your data structure without breaking deployed programs
 that are compiled against the "old" format.
 .
 Google uses Protocol Buffers for almost all of its internal RPC protocols and
 file formats.
 .
 This package contains the runtime library needed for the protocol buffer
 compiler.

Package: libprotoc36
.
23132a
Package: libprotobuf36
Description-md5: c69f5af146ab9bc64e44b912e5af457e
Description-en: protocol buffers C++ library
 Protocol buffers are a flexible, efficient, automated mechanism for
 serializing structured data - similar to XML, but smaller, faster, and
 simpler. You define how you want your data to be structured once, then you can
 use special generated source code to easily write and read your structured
 data to and from a variety of data streams and using a variety of languages.
 You can even update your data structure without breaking deployed programs
 that are compiled against the "old" format.
 .
 Google uses Protocol Buffers for almost all of its internal RPC protocols and
 file formats.
 .
 This package contains the runtime library needed for C++ applications.

.
23100a
Package: libprotobuf-lite36
Description-md5: bef75569f3d092ed9b714a68e215c917
Description-en: protocol buffers C++ library (lite version)
 Protocol buffers are a flexible, efficient, automated mechanism for
 serializing structured data - similar to XML, but smaller, faster, and
 simpler. You define how you want your data to be structured once, then you can
 use special generated source code to easily write and read your structured
 data to and from a variety of data streams and using a variety of languages.
 You can even update your data structure without breaking deployed programs
 that are compiled against the "old" format.
 .
 Google uses Protocol Buffers for almost all of its internal RPC protocols and
 file formats.
 .
 This package contains the runtime library needed for C++ applications whose
 message definitions have the "lite runtime" optimization setting.

.
22393,22421d
20506,20557c
Package: python-pandas-doc
Description-md5: 7a749591db25bd458e01e853e9fcd291
Description-en: data structures for "relational" or "labeled" data - documentation
 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
    table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
    series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
    row and column labels
  - Any other form of observational / statistical data sets. The data
    actually need not be labeled at all to be placed into a pandas
    data structure
 .
 This package contains the documentation.

Package: python3-pandas
Description-md5: cebad5283eae2d4545bd561b1c18aa4e
Description-en: data structures for "relational" or "labeled" data
 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
    table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
    series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
    row and column labels
  - Any other form of observational / statistical data sets. The data
    actually need not be labeled at all to be placed into a pandas
    data structure
 .
 This package contains the Python 3 version.

Package: python3-pandas-lib
Description-md5: b329f4ac7b25b8b49b6f051c081f5999
Description-en: low-level implementations and bindings for pandas
 This is a low-level package for python3-pandas providing
 architecture-dependent extensions.
 .
 Users should not need to install it directly.

.
19077c

.
18950,18964d
18765,18880d
18582c
 This package contains the development files.

Package: libnethogs0
Description-md5: f1eca93fee7e19153c3ba3e6bd6eb7e0
Description-en: From nethogs tool, libnethogs library (library)
 This is highly experimental, and is expected to break source and binary
 compatibility while it looks for the right abstraction points.
 .
 This package contains the shared library.

Package: nethogs
Description-md5: 04c153c901ad7ca75e53e2ae32565ccd
Description-en: Net top tool grouping bandwidth per process
 NetHogs is a small 'net top' tool. Instead of breaking the traffic down per
 protocol or per subnet, like most tools do, it groups bandwidth by process.
 NetHogs does not rely on a special kernel module to be loaded.
.
18566,18580c
Package: libnethogs-dev
Description-md5: 9e4bebb19575403db786ce4638e0656d
Description-en: From nethogs tool, libnethogs library (development files)
 This is highly experimental, and is expected to break source and binary
 compatibility while it looks for the right abstraction points.
.
17886a
Package: python-mpmath-doc
Description-md5: d338629e7c2421c1961c35170d8b2fb8
Description-en: 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: python3-mpmath
Description-md5: 1fe0defc6bc8924e23914d13b987ed7a
Description-en: library for arbitrary-precision floating-point arithmetic (Python3)
 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 Python 3 version of mpmath.

.
17023,17124d
15045,15670d
15005a
Description-md5: 54046b926a5c2009978ecb5b20aad930
Description-en: parser toolkit for IETF YANG data modeling language (library)
 YANG is a data modeling language for the definition of data sent over network
 management protocols (RFC 6020/7950). It can be used to model both
 configuration data as well as state data of network elements and is primarily
 used by larger network equipment like routers and switches.
 .
 This package contains the shared library.

Package: libyang5
.
14995a
Description-md5: 28bed4558315c2da45a2219cfed9a2df
Description-en: parser toolkit for IETF YANG data modeling language (tools)
 YANG is a data modeling language for the definition of data sent over network
 management protocols (RFC 6020/7950). It can be used to model both
 configuration data as well as state data of network elements and is primarily
 used by larger network equipment like routers and switches.
 .
 This package contains additional tools.

Package: libyang-tools
.
14985a
Description-md5: 344472a30829d3c94221f6af2da78f1b
Description-en: parser toolkit for IETF YANG data modeling language (development)
 YANG is a data modeling language for the definition of data sent over network
 management protocols (RFC 6020/7950). It can be used to model both
 configuration data as well as state data of network elements and is primarily
 used by larger network equipment like routers and switches.
 .
 This package contains the development files.

Package: libyang-dev
.
14831a
Package: libtorrent47
Description-md5: f64558ce33a3049640e3f325f06f8671
Description-en: C++ BitTorrent library by Rakshasa
 LibTorrent is a BitTorrent library written in C++ for *nix. It is
 designed to avoid redundant copying and storing of data that other
 clients and libraries suffer from.

.
11476,11487d
9866a
Package: jupyterlab
Description-md5: b3e907729cef56f2b536529c32813b8a
Description-en: Node.js modules for JupyterLab
 JupyterLab is the next-generation user interface for Project Jupyter
 offering all the familiar building blocks of the classic Jupyter Notebook
 (notebook, terminal, text editor, file browser, rich outputs, etc.) in a
 flexible and powerful user interface.
 .
 This package provides Node.js modules for JupyterLab.

.
8867,8969d
3353,3362d
3309a
Package: eclib-tools
Description-md5: 0eb561b8bbb6cb2cb47894e7198e0b99
Description-en: Programs for modular symbols and elliptic curves over Q
 This package includes several programs to compute with elliptic curves
 over Q ; most notably  mwrank (for 2-descent on elliptic curves over Q)
 and the modular symbol tools used to create the elliptic curve database.

Package: libec-dev
Description-md5: 8f18a559e7677b64537acd6ee68e3ef0
Description-en: Library for modular symbols and elliptic curves over Q (development)
 This library implements 2-descent on elliptic curves over Q and computations
 with modular symbols.
 .
 This package contains the development files for the library.

Package: libec16
Description-md5: ef0e5b8927c7d668542172bb1c11ebbd
Description-en: Library for modular symbols and elliptic curves over Q
 This library implements 2-descent on elliptic curves over Q and computations
 with modular symbols.
 .
 It is the library which powers the eclib-tools, which are used for the
 elliptic curve database.

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