775366a

Package: zonemaster-cli
Description-md5: 9fe5aafc959abe4a3b254749763b6708
Description-en: run Zonemaster tests from the command line
 Zonemaster is a utility for DNS validation of the quality of a DNS
 delegation.
 .
 This package contains the Zonemaster CLI utility.
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764093a
Package: xgammon
Description-md5: a566c5f262ff57a9cf233fafbec88d9e
Description-en: Implementation of backgammon under X
 This a nicely implemented backgammon with the following features:
    - X11/Xaw interface,
    - a simple file selector and saving dialog,
    - You can edit positions and perform rollouts.
    - Position dump to a mail file in the format used in backgammon newsgroups.
    - Easier movement of stones, by simple button clicks.
    - You can play against an opponent on a remote X-Terminal. (experimental).

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754752a
Package: python3-willow
Description-md5: 3a04f3cb83cbe5c15f7f020f42cc2087
Description-en: Python image library combining Pillow, Wand and OpenCV (Python 3)
 Willow is a simple image library that combines the APIs of Pillow, Wand and
 OpenCV. It converts the image between the libraries when necessary.
 .
 Willow currently has basic resize and crop operations, face and feature
 detection and animated GIF support. New operations and library integrations
 can also be easily implemented.

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750392,750409d
749279,749289d
746017a
Package: vera++
Description-md5: b31d45d06bc7c2fd0f648bf12d2d5e05
Description-en: Programmable verification and analysis tool for C++
 Vera++ is a programmable tool for verification, analysis and transformation of
 C++ source code.
 Vera++ is mainly an engine that parses C++ source files and presents the
 result of this parsing to scripts in the form of various collections -
 the scripts are actually performing the requested tasks.

.
744493,744501d
695890a
Package: streamdeck-ui
Description-md5: bd387341bcf7215c3526b51dbd65470d
Description-en: Linux compatible UI for the Elgato Stream Deck
 streamdeck_ui is a Linux compatible UI for the Elgato Stream Deck.
 Key Features:
  * Multi-device: Enables connecting and configuring multiple Stream Deck
    devices on one computer.
  * Brightness Control: Supports controlling the brightness from both the
    configuration UI and buttons on the device itself.
  * Configurable Button Display: Icons + Text, Icon Only, and Text Only
    configurable per button on the Stream Deck.
  * Multi-Action Support: Run commands, write text and press hotkey combinations
    at the press of a single button on your Stream Deck.
  * Button Pages: streamdeck_ui supports multiple pages of buttons and
    dynamically setting up buttons to switch between those pages.
  * Auto Reconnect: Automatically and gracefully reconnects, in the case the
    device is unplugged and replugged in.
  * Import/Export: Supports saving and restoring Stream Deck configuration.

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694439a
Package: starship
Description-md5: c29a4dcf02902a4bfc52d9838690c3fd
Description-en: fast and customizable shell prompt
 Starship is a shell prompt that is fast and configurable, and works on most
 common shells. It shows information from various sources in a way easy to
 grasp at a glance, including but not limited to: the hostname/username/cwd
 trio, git, project language and runtime.

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676648a
Package: setzer
Description-md5: 8ae2196d648c27a42bc577db20553097
Description-en: simple yet full-featured LaTeX editor
 Setzer features shortcuts for many LaTeX elements and symbols, a document
 creation wizard, a dark mode, a high screen to content ratio and a good
 side-by-side pdf viewer.

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666640a
Package: librust-utf8-locale-dev
Description-md5: 0e8934d3fa90741f4b6d40707c2f5b75
Description-en: Detect a UTF-8-capable locale for running child processes in - Rust source code
 Source code for Debianized Rust crate "utf8-locale"

.
666213,666214c
 Source code for Debianized Rust crate "unic-langid"
.
666211c
Description-md5: 7868184501ae9ea5df451a463811e7bb
.
665307,665308c
 Source code for Debianized Rust crate "tokio-openssl"
.
665305c
Description-md5: ac4b2c8e3741e0fbdb014ce29fd5965d
.
665286,665287c
 Source code for Debianized Rust crate "tokio-io-timeout"
.
665284c
Description-md5: befae831a2483dc0b09633a16d459b3b
.
664471a

Package: librust-sysconf-dev
Description-md5: 892a5cf78e9ba26c127ab693cb3d7d79
Description-en: Small safe wrapper around sysconf - Rust source code
 Small safe wrapper around sysconf.
 .
 Query runtime configuration information.
 .
 This crate provides the ability to query for various configuration information
 about the runtime platform such as memory page size. On POSIX systems, it makes
 heavy use of the sysconf API.
 Source code for Debianized Rust crate "sysconf"
.
664009a
Package: librust-subplotlib-derive-dev
Description-md5: c3abac9df1e63a2e7ead3d5e365f7d0f
Description-en: Macros for constructing subplotlib based test suites, typically generated by `subplot codegen` - Rust source code
 Source code for Debianized Rust crate "subplotlib-derive"

.
660880a
Package: librust-rootasrole-core-dev
Description-md5: 96f2e10eb2ddc3fa218d569bd0c5877d
Description-en: This core crate for the RootAsRole project - Rust source code
 Source code for Debianized Rust crate "rootasrole-core"

.
660775,660776c
 Source code for Debianized Rust crate "rlimit"
.
660773c
Description-md5: 76b0f85943df6aedcc79126e6da5593c
.
659315a

Package: protonup-rs
Description-md5: f9bfb55c21129fdc0e0b5ed4a868ce92
Description-en: Rust app to automate the installation and update of Linux Gaming Compatibility tools, like ProtonGE, Luxtorpeda, Boxtron and others
 This package contains the following binaries built from the Rust crate
 "protonup-rs":
  - protonup-rs
.
659295a
Package: librust-protobuf-macros-dev
Description-md5: fe10553b9d097fa3074e03551fb7196a
Description-en: Protobuf proc macro implementation (internal) - Rust source code
 Source code for Debianized Rust crate "protobuf-macros"

.
657552a
Package: librust-p384-0.13-dev
Description-md5: 85e5287b6712c4911d5df6e4a7c31436
Description-en: Pure Rust implementation of the NIST P-384 (a.k.a - Rust source code
 secp384r1) elliptic curve as defined in SP 800-186 with support for ECDH, ECDSA
 signing/verification, and general purpose curve arithmetic support.
 .
 Source code for Debianized Rust crate "p384"

.
654735a
Package: librust-libprotonup-dev
Description-md5: bf75f0a80f15e0b97af38114ae87d088
Description-en: Manage Linux Gaming Compatibility tools, like ProtonGE, Luxtorpeda, Boxtron and others - Rust source code
 Source code for Debianized Rust crate "libprotonup"

.
652845a
Package: librust-icu-provider-adapters-dev
Description-md5: 42636604b5db42f2c060c1c9bfa31827
Description-en: Adapters for composing and manipulating data providers - Rust source code
 Source code for Debianized Rust crate "icu_provider_adapters"

Package: librust-icu-provider-fs-dev
Description-md5: f5ed49602870df250cd47e8c5534d673
Description-en: ICU4X data provider that reads from structured data files - Rust source code
 Source code for Debianized Rust crate "icu_provider_fs"

.
652186,652189c
Description-md5: aff889574b15955c65a1ed7af8730b5c
Description-en: Macro for converting hexadecimal string literals to a byte array at compile time - Rust source code
 Source code for Debianized Rust crate "hex-literal"
.
648943a
Package: librust-ed25519-dalek-2-dev
Description-md5: 6caf3efbcf3803456dce2136dd2c1855
Description-en: ed25519 EdDSA key generations, signing, and verification - Rust source code
 Source code for Debianized Rust crate "ed25519-dalek"

.
647120a
Package: librust-crlify-dev
Description-md5: 0237c42d51144c2294098b7f3ebc2186
Description-en: Std::io::Write wrapper that replaces   with  - Rust source code
 on Windows.
 .
 Source code for Debianized Rust crate "crlify"

.
646936,646937c
 Source code for Debianized Rust crate "cp_r"
.
646934c
Description-md5: 8131c0098a96d86edd91046a8094aaab
.
645868,645869c
 Source code for Debianized Rust crate "caseless"
.
645866c
Description-md5: 44ef49f65c485b2e04f1d3fe702a118f
.
615499a
Package: libapache2-mod-r-base
Description-md5: 1be630e572081e125ce258dbe3f013eb
Description-en: server-side R integration with Apache 2
 This package provides the R module that adds support for embedding
 the R interpreter inside Apache 2 webserver.

.
613835,613840c
Description-md5: a70e8ab95f53c299d962621b1d5661a5
Description-en: Visualizing Categorical Data
 Visualization techniques, data sets, summary and inference procedures aimed
 particularly at categorical data. Special emphasis is given to highly
 extensible grid graphics. The package was package was originally inspired
 by the book "Visualizing Categorical Data" by Michael Friendly and is now
 the main support package for a new book, "Discrete Data Analysis with R"
 by Michael Friendly and David Meyer (2015).
.
613483c
 link removal 1976.
.
613473,613481c
Description-md5: 81dd861cc4839e031197c97095c427e0
Description-en: Extra Recipes Steps for Dealing with Unbalanced Data
 A dataset with an uneven number of cases in each class is said
 to be unbalanced. Many models produce a subpar performance on
 unbalanced datasets. A dataset can be balanced by increasing the number
 of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>,
 BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008.
 Or by decreasing the number of majority cases using NearMiss 2003
.
613356a
Package: r-cran-tclust
Description-md5: d2f257a5f80b3a59dc6a232a04924af2
Description-en: Robust Trimmed Clustering
 Provides functions for robust trimmed clustering. The methods are
 described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al.
 (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al.
 (2011) <doi:10.1007/s11222-010-9194-z> and others.

.
613163a
Package: r-cran-statip
Description-md5: 3ac668b6478c25edda88f8c9a97e85bc
Description-en: statistical functions for probability distributions and regression
 A collection of miscellaneous statistical functions for
 probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for
 the Bernoulli distribution, and 'distr2name()', 'name2distr()' for
 distribution names;
 probability density estimation: 'densityfun()';
 most frequent value estimation: 'mfv()', 'mfv1()';
 other statistical measures of location: 'cv()' (coefficient of variation),
 'midhinge()', 'midrange()', 'trimean()';
 construction of histograms: 'histo()', 'find_breaks()';
 calculation of the Hellinger distance: 'hellinger()';
 use of classical kernels: 'kernelfun()', 'kernel_properties()';
 univariate piecewise-constant regression: 'picor()'.

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612106a
Package: r-cran-rstan
Description-md5: 09c503ecb85dda4741cc7216edbe7ee6
Description-en: R Interface to Stan
 User-facing R functions are provided to parse, compile, test, estimate,
 and analyze Stan models by accessing the header-only Stan library provided
 by the 'StanHeaders' package. The Stan project develops a probabilistic
 programming language that implements full Bayesian statistical inference
 via Markov Chain Monte Carlo, rough Bayesian inference via 'variational'
 approximation, and (optionally penalized) maximum likelihood estimation
 via optimization. In all three cases, automatic differentiation is used
 to quickly and accurately evaluate gradients without burdening the user with
 the need to derive the partial derivatives.

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610656a
Package: r-cran-projpred
Description-md5: 1ffc337918328a1bded35a41d5710d9e
Description-en: GNU R projection predictive feature selection
 Performs projection predictive feature selection for generalized linear models
 (see, Piironen, Paasiniemi and Vehtari, 2018, <arXiv:1810.02406>).
 The package is compatible with the 'rstanarm' and 'brms' packages, but other
 reference models can also be used. See the package vignette for more
 information and examples.

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610498a
Package: r-cran-posterior
Description-md5: d0b2e2cd79cf33d96742c46004cd3c04
Description-en: GNU R tools for working with posterior distributions
 Provides useful tools for both users and developers of packages
 for fitting Bayesian models or working with output from Bayesian models.
 The primary goals of the package are to:
 (a) Efficiently convert between many different useful formats of
 draws (samples) from posterior or prior distributions.
 (b) Provide consistent methods for operations commonly performed on draws,
 for example, subsetting, binding, or mutating draws.
 (c) Provide various summaries of draws in convenient formats.
 (d) Provide lightweight implementations of state of the art posterior
 inference diagnostics. References: Vehtari et al. (2021)
 <doi:10.1214/20-BA1221>.

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610483,610486c
Description-md5: 9ac05a886cad0ea8f4a5c8b35325ba59
Description-en: Poor Man's Dependency Free Recreation of 'dplyr'
 A replication of key functionality from 'dplyr' and the wider 'tidyverse'
 using only 'base'.
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609706a
Package: r-cran-nanoarrow
Description-md5: b7d734cf17fc04d16e1c674e03bef12f
Description-en: Interface to the 'nanoarrow' 'C' Library
 Provides an 'R' interface to the 'nanoarrow' 'C' library and the
 'Apache Arrow' application binary interface. Functions to import and
 export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to
 and from 'R' objects are provided alongside helpers to facilitate zero-copy
 data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C'
 data interface.

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609564a
Package: r-cran-modeest
Description-md5: a458a92e3d131dc09729e131c92a475c
Description-en: GNU R mode estimation
 Provides estimators of the mode of univariate
 data or univariate distributions.

.
608947a
Package: r-cran-loo
Description-md5: 41086319311717a77f2291c65f8d6cb2
Description-en: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
 Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
 models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman,
 and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses
 Pareto smoothed importance sampling (PSIS), a new procedure for regularizing
 importance weights. As a byproduct of the calculations, we also obtain
 approximate standard errors for estimated predictive errors and for the
 comparison of predictive errors between models. The package also provides
 methods for using stacking and other model weighting techniques to average
 Bayesian predictive distributions.

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608023a
Package: r-cran-gunifrac
Description-md5: 4be8d5082161a3f3d9196545c8aea576
Description-en: Generalized UniFrac Distances
 Generalized UniFrac distances for comparing microbial communities.
 Permutational multivariate analysis of variance using multiple
 distance matrices.

Package: r-cran-haplo.stats
Description-md5: 0667f477cd725a6f574085cfa7efa687
Description-en: GNU R package for haplotype analysis
 The package provides routines for the GNU R statistics environment
 for statistical Analysis of indirectly measured Haplotypes with Traits
 and Covariates when Linkage Phase is Ambiguous.  The statistical methods
 assume that all subjects are unrelated and that haplotypes are ambiguous
 (due to unknown linkage phase of the genetic markers). The main functions
 are: haplo.em, haplo.glm, haplo.score, haplo.power, and seqhap.

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607415a
Package: r-cran-gbm
Description-md5: d072870247036b33f0192289d1b19c56
Description-en: Generalized Boosted Regression Models
 An implementation of extensions to Freund and Schapire's AdaBoost algorithm
 and Friedman's gradient boosting machine. Includes regression methods
 for least squares, absolute loss, t-distribution loss, quantile regression,
 logistic, multinomial logistic, Poisson, Cox proportional hazards partial
 likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning
 to Rank measures (LambdaMart). Originally developed by Greg Ridgeway.
 Newer version available at <https://github.com/gbm-developers/gbm3>.

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607365,607368c
Description-md5: 92a7bfe2957995fed9fc0d945695c6d1
Description-en: Generalized Additive Mixed Models using 'mgcv' and 'lme4'
 Estimate generalized additive mixed models via a version of function gamm()
 from 'mgcv', using 'lme4' for estimation.
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607111a
Package: r-cran-fitcoach
Description-md5: 4d67ae5f1adea160b0ce21be038eb648
Description-en: R package for analysis and retrieve data of Fitbit
 This R package use the official API to import Fitbit data into R.
 Fitbit R API that provides fitbit coach functionality by analyzing
 your data obtained via fitbit API calls, and by giving personalized
 recommendations for the rest of the day based on your behavior.

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606726a
Package: r-cran-estimatr
Description-md5: 40ba1bfbfa919a084037e8c6d5f9dd24
Description-en: GNU R fast estimators for design-based inference
 Fast procedures for small set of commonly-used, design-appropriate
 estimators with robust standard errors and confidence intervals.
 Includes estimators for linear regression, instrumental variables
 regression, difference-in-means, Horvitz-Thompson estimation, and
 regression improving precision of experimental estimates by interacting
 treatment with centered pre-treatment covariates introduced by Lin
 (2013) <doi:10.1214/12-AOAS583>.

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606516a
Package: r-cran-ecosolver
Description-md5: 6491c479046d0910e7d219e4275690dc
Description-en: Embedded Conic Solver in R
 R interface to the Embedded COnic Solver (ECOS), an efficient
 and robust C library for convex problems. Conic and equality
 constraints can be specified in addition to integer and
 boolean variable constraints for mixed-integer problems. This
 R interface is inspired by the Python interface and has
 similar calling conventions.

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606319a
Package: r-cran-directadjusting
Description-md5: 35a9da19e1572f15abf220a3c5e8f127
Description-en: Directly Adjusted Estimates
 Compute estimates and confidence intervals of weighted averages quickly
 and easily. Weighted averages are computed using data.table for speed.
 Confidence intervals are approximated using the delta method with either using
 known formulae or via algorithmic or numerical derivation.

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605378a
Package: r-cran-brms
Description-md5: f9d33571831e39eaf395113e94f37f38
Description-en: GNU R Bayesian regression models using 'Stan'
 Fit Bayesian generalized (non-)linear multivariate multilevel models
 using 'Stan' for full Bayesian inference. A wide range of distributions
 and link functions are supported, allowing users to fit -- among others
  -- linear, robust linear, count data, survival, response times, ordinal,
 zero-inflated, hurdle, and even self-defined mixture models all in a
 multilevel context. Further modeling options include non-linear and
 smooth terms, auto-correlation structures, censored data, meta-analytic
 standard errors, and quite a few more. In addition, all parameters of
 the response distribution can be predicted in order to perform
 distributional regression. Prior specifications are flexible and
 explicitly encourage users to apply prior distributions that actually
 reflect their beliefs. Model fit can easily be assessed and compared
 with posterior predictive checks and leave-one-out cross-validation.

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605111a
Package: r-cran-bench
Description-md5: 51d6f540bcaf5b0157f87fcf0b3d83eb
Description-en: High Precision Timing of R Expressions
 Tools to accurately benchmark and analyze execution times for R expressions.

.
605068a
Package: r-cran-bayesplot
Description-md5: 8f1b45634a44d7dc1b47cb015f9ee39b
Description-en: GNU R plotting for bayesian models
 Plotting functions for posterior analysis, model checking,
 and MCMC diagnostics. The package is designed not only to provide convenient
 functionality for users, but also a common set of functions that can be
 easily used by developers working on a variety of R packages for Bayesian
 modeling, particularly (but not exclusively) packages interfacing with 'Stan'.

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604944a
Package: r-cran-arsenal
Description-md5: eb46949da7f49590222af25a14602982
Description-en: arsenal of GNU R functions for large-scale statistical summaries
 An Arsenal of 'R' functions for large-scale statistical summaries, which
 are streamlined to work within the latest reporting tools in 'R' and
 'RStudio' and which use formulas and versatile summary statistics for
 summary tables and models. The primary functions include tableby(), a
 Table-1-like summary of multiple variable types 'by' the levels of one
 or more categorical variables; paired(), a Table-1-like summary of
 multiple variable types paired across two time points; modelsum(), which
 performs simple model fits on one or more endpoints for many variables
 (univariate or adjusted for covariates); freqlist(), a powerful
 frequency table across many categorical variables; comparedf(), a
 function for comparing data.frames; and write2(), a function to output
 tables to a document.

.
579483,579515d
571884,571893d
569644,569654d
566394a
Package: python3-elgato-streamdeck
Description-md5: 9bb93cd5508a67f3b1edef8968d1b8f4
Description-en: Python 3 library to control an Elgato Stream Deck
 This is an open source Python 3 library to control an Elgato Stream Deck
 directly, without the official software. This can create custom front-ends,
 such as a custom control front-end for home automation software.
 .
 Currently the following StreamDeck product variants are supported:
 .
 StreamDeck Original (both V1 and V2 hardware variants)
 StreamDeck Mini
 StreamDeck XL

.
547484a
Package: python3-pyartnet
Description-md5: 462eea579bfa66f8907ad6c94f7352b7
Description-en: Python 3 asyncio library for ArtNet, sACN and KiNet
 pyartnet is a Python 3 library that provides an asyncio-based implementation
 for controlling DMX lighting fixtures over the network.
 .
 It allows creating complex lighting setups and animations programmatically
 within Python applications.
 .
 Supported protocols include:
  * ArtNet
  * sACN (E1.31)
  * KiNet (v1 and v2)
 .
 Key features include channel fading (linear, cubic, etc.), output
 correction curves, and a high-level abstraction for managing nodes and
 universes.

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541886,541897d
506595a
Package: openmotor
Description-md5: a9efda56312b031b9c04b2911f22271e
Description-en: internal ballistics simulator for rocket motor experimenters
 openMotor is an open-source internal ballistics simulator for rocket motor
 experimenters. The software produces estimates of a rocket motor's chamber
 pressure and thrust based on input such as propellant properties and grain
 geometry. It uses the Fast Marching Method to determine how a propellant
 grain regresses, which allows the use of arbitrary core geometries.
 .
 Current Features:
   * Metric and imperial units
   * Support for common grain geometries such as BATES, Finocyl, Star and more
   * Loading custom grain geometry from DXF files
   * A propellant editor that allows the user to enter the properties of as
     many propellants as they wish
   * The grain editor displays how a grain will regress to cut down on the
     guesswork involved in tweaking geometry
   * ENG file exporting
   * Burnsim importing and exporting
   * A UI that supports saving and loading designs along with undo and redo.
 .
 Planned Features:
   * Erosivity simulation
   * Detailed output of every calculated parameter at any time and position
     along the motor

.
503610c
Package: libopencc1.4
.
499936a
Package: offlineimap
Description-md5: bfe8ebc058cce6653c20fea6f85a4246
Description-en: transitional package
 This is a transitional package. It can safely be removed.

Package: offlineimap3
Description-md5: 26959832ee88bdeeff8e41015f731081
Description-en: IMAP/Maildir synchronization and reader support
 OfflineIMAP is a tool to simplify your e-mail reading.  With
 OfflineIMAP, you can:
 .
  * Read the same mailbox from multiple computers, and have your
    changes (deletions, etc.) be automatically reflected on
    all computers
 .
  * Use various mail clients to read a single mail box
 .
  * Read mail while offline (on a laptop) and have all changes
    synchronized when you get connected again
 .
  * Read IMAP mail with mail readers that do not support IMAP
 .
  * Use SSL (secure connections) to read IMAP mail even if your reader
    doesn't support SSL
 .
  * Synchronize your mail using a completely safe and fault-tolerant
    algorithm.
 .
  * Customize which mailboxes to synchronize with regular expressions
    or lists.
 .
  * Synchronize your mail two to four times faster than with other tools
    or other mail readers' internal IMAP support.
 .
 In short, OfflineIMAP is a tool to let you read mail how YOU want to.
 .
 This is the Python3 port of offlineimap.

.
483881a
Package: libjs-rrule
Description-md5: b6146484825070b5ca73a54b00d23ce4
Description-en: JavaScript library for recurrence rules for calendar dates - browser version
 rrule.js is a JavaScript library for working with recurring calendar
 dates using rules based on the iCalendar RFC 5545 recurrence rule format.
 It can generate dates from recurrence rules, query occurrences before,
 after, or between dates, and combine rules with explicit inclusion and
 exclusion dates.
 .
 The library supports parsing and serialising RRULE strings, recurrence
 rule sets, timezone identifiers using the Intl API, and conversion between
 rules and human-readable text.
 .
 This package provides the browser JavaScript library.

Package: node-rrule
Description-md5: 8db7bbaff0dbe0ff43617ba1999563f3
Description-en: JavaScript library for recurrence rules for calendar dates
 rrule.js is a JavaScript library for working with recurring calendar
 dates using rules based on the iCalendar RFC 5545 recurrence rule format.
 It can generate dates from recurrence rules, query occurrences before,
 after, or between dates, and combine rules with explicit inclusion and
 exclusion dates.
 .
 The library supports parsing and serialising RRULE strings, recurrence
 rule sets, timezone identifiers using the Intl API, and conversion between
 rules and human-readable text.

.
437755,437758c
 mat2 provides a command line tool and graphical user interfaces: a service
 menu for Dolphin, the default file manager of KDE; and an integration with
 Nemo, a file manager of Cinammon. Besides, it recommends metadata-cleaner, a
 GTK app for viewing and cleaning metadata of files.
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437739c
    - JPEG (.jpeg, .jpg, .jxl, ...)
.
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    - AV1 Image File Format (.avif)
.
437709c
Description-md5: 9e5f4f604507ee6decfc412b336d84c3
.
287383a
Package: jack
Description-md5: 6a3e07b5470e4ed5331ad137d243eeb9
Description-en: Rip and encode CDs with one command
 Jack has been developed with one main goal: making OGGs (or MP3s)
 without having to worry. There is nearly no way that an incomplete rip
 goes unnoticed, e.g. jack compares WAV and OGG file sizes when
 continuing from a previous run. Jack also checks your HD space before
 doing anything (even keeps some MB free).
 .
 Jack is different from other such tools in a number of ways:
  - it supports different rippers and encoders
  - it is very configurable
  - it doesn't need X
  - it can "rip" virtual CD images like the ones created by cdrdao
  - when using cdparanoia, cdparanoia's status information is displayed
    and archived for all tracks, so you can see if something went wrong
  - it uses sophisticated disk space management, i.e. it schedules its
    ripping/encoding processes depending on available space.
  - freedb/gnudb/musicbrainz query, file renaming and id3/ogg-tagging
  - it can resume work after it has been interrupted. If all tracks have
    been ripped, it doesn't even need the CD anymore, even if you want
    to do a freedb query.
  - it can do a freedb query based on OGGs alone, like if you don't
    remember from which CD those OGGs came from.
  - freedb submissions

.
276147a
Package: ibus-libpinyin
Description-md5: ea0340a0343baa6eff96dee6e25321d7
Description-en: Intelligent Pinyin input method for IBus
 It includes a Chinese Pinyin input method based on libpinyin for IBus.
 .
 This package enables the "Intelligent Pinyin" (libpinyin) input method.

Package: ibus-libpinyin-common
Description-md5: 3e1df5201910970c7c2ed81dfffa2423
Description-en: Intelligent Pinyin engine based on libpinyin for IBus (common files)
 It includes a Chinese Pinyin input method and a Chinese ZhuYin (Bopomofo)
 input method based on libpinyin for IBus.
 .
 This package contains the shared engine executable, the setup tool, the IBus
 component definition and the common data files. The individual input methods
 are shipped by the ibus-libpinyin and ibus-libbopomofo packages; each input
 method is only advertised to IBus when its package is installed.

.
275521,275528d
268128c
Package: libhdf5-openmpi-hl-fortran-320
.
268114c
Package: libhdf5-openmpi-hl-320
Description-md5: 1625f735200bc7326012e1261389944e
Description-en: HDF5 High Level runtime files - OpenMPI version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the high level C API runtime files for openmpi platforms.

Package: libhdf5-openmpi-hl-cpp-320
.
268094c
Package: libhdf5-openmpi-fortran-320
.
268071c
Package: libhdf5-openmpi-320
Description-md5: 9075165887209e7211568015540d7e11
Description-en: HDF5 - C runtime files - OpenMPI version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the C runtime files for use with OpenMPI.

Package: libhdf5-openmpi-cpp-320
.
268050c
Package: libhdf5-mpich-hl-fortran-320
.
268036c
Package: libhdf5-mpich-hl-320
Description-md5: 7231b375d828e4dd4396de447c9ef18d
Description-en: HDF5 High Level runtime files - MPICH2 version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the high level C API runtime files for mpich platforms.

Package: libhdf5-mpich-hl-cpp-320
.
268016c
Package: libhdf5-mpich-fortran-320
.
267992c
Package: libhdf5-mpich-320
Description-md5: bdf0e47395047577a6e5b69535d59c8d
Description-en: HDF5 - C runtime files - MPICH2 version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the C runtime files for use with MPICH2.

Package: libhdf5-mpich-cpp-320
.
267946c
Package: libhdf5-hl-fortran-320
.
267935c
Package: libhdf5-hl-320
Description-md5: c9045d102978306f9b038586e565d46d
Description-en: HDF5 High Level runtime files - serial version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the high level C API runtime files for serial platforms.

Package: libhdf5-hl-cpp-320
.
267915c
Package: libhdf5-fortran-320
.
267894a
Package: libhdf5-cpp-320
Description-md5: f98ebd9a835975b2031fe61ea3c6da71
Description-en: HDF5 - C++ runtime files - serial version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the C++ runtime files for serial platforms.

.
267884a
Package: libhdf5-320
Description-md5: 0058d2fd2a000aa6e520a6728baf452a
Description-en: HDF5 C runtime files - serial version
 Hierarchical Data Format 5 (HDF5) is a file format and library for
 storing scientific data.  HDF5 was designed and implemented to address
 the deficiencies of HDF4.x. It has a more powerful and flexible data
 model, supports files larger than 2 GB, and supports parallel I/O.
 .
 This package contains the C runtime files for serial platforms.

.
204326a
Package: golang-github-nebulouslabs-bolt-dev
Description-md5: 90b127e386bf6e56149cd1ea6b2a11b2
Description-en: low-level key/value database for Go
 Bolt is a pure Go key/value store inspired by Howard Chu's LMDB
 project.
 .
 This package is a vendored fork and snapshot of github.com/boltdb/bolt,
 maintained by NebulousLabs and used as a dependency for the sia storage
 daemon.

.
201265a
Package: golang-github-launchdarkly-go-server-sdk-dev
Description-md5: d1eb75f9dd598ff023bd35a729dc92cb
Description-en: LaunchDarkly Server-side SDK for Go (library)
 This package contains a library LaunchDarkly Server-side
 SDK for Go.

.
196085a
Package: golang-github-gofiber-fiber-v2-dev
Description-md5: 1706641159b4d642b9adc4525a5887e2
Description-en: Express inspired web framework (Go library)
 Fiber is a web framework, created with the idea of minimalism and follows the
 UNIX way. It is inspired by Express, the popular web framework for Node.js.

.
179828a
Package: libgnome-qr-4-0
Description-md5: 14c3ce9e341ef068c2aab77fb6d05363
Description-en: Utility library for QR Codes - runtime files
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This library provides utilities for creating QR Codes textures.

Package: libgnome-qr-4-dev
Description-md5: 415fa0f8cd7e1164eadedec4e94343e0
Description-en: QR Codes library for GNOME - development files
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This package contains development files to compile programs that deal with
 QR codes.

Package: libgnome-qr-gtk-4-0
Description-md5: f2de412d0298db4d476aba0b9ba91015
Description-en: Utility library for GTK4 QR codes - runtime files
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This library provides utilities for creating QR Codes GTK Widgets.

Package: libgnome-qr-gtk-4-dev
Description-md5: 155fdbcf94e8e313d9d3dca53294e321
Description-en: QR Codes library for GNOME - development files (GTK 4)
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This package contains development files to compile programs that deal with
 QR codes.

.
179784,179785c
 similar to a combination of libgnome-bg-4-2t64 and libgnome-desktop-4-2t64
 for compatibility with older GNOME components.
.
179776,179777c
Package: libgnome-desktop-3-21
Description-md5: 430f8dc5ea00fe6a12f99f798893dcfc
.
179741a
Package: gir1.2-gnomeqr-4.0
Description-md5: 2e93a163d3265437aa436819527325b3
Description-en: Introspection data for GnomeQR
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This package contains GObject-Introspection bindings for creating QR
 codes.

Package: gir1.2-gnomeqrgtk-4.0
Description-md5: a6caa28ec70bac3a153d39aae75c575f
Description-en: Introspection data for GnomeQRGtk
 The gnome-desktop set of libraries provides various utility functions
 that are used in multiple components of the GNOME desktop, but do not
 have a sufficiently stable API to be included in core libraries such
 as GLib and GTK.
 .
 This package contains GObject-Introspection bindings for creating QR
 codes in GTK4 applications.

.
105289,105296d
72649,72655d
46258c
 accurate identifier for record tracks.
 .
 This package contains the shared library.
.
46254c
Description-md5: f78ad3a18d99669581b3a8f3d1bd6f8d
.
46249c
 accurate identifier for record tracks.
.
46245c
Description-md5: 9696701626e8b85000fa5ac94fed97b8
.
46239c
 accurate identifier for record tracks.
.
46235c
Description-md5: 017f84bb3a32dca5127eb03e64b8c763
.
39026,39121d
14422a
Package: armnn-latest-all
Description-md5: a8797ddbde0dc1ddc6457271dd43515a
Description-en: Arm NN Core and all backends
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest CPU backend, GPU backend, Reference backend and
 the TensorFlow Lite Parser. CPU and GPU backends will only be installed
 on armhf or arm64 architectures.

Package: armnn-latest-cpu
Description-md5: c061f6252093279bac7e753c5620beb1
Description-en: Arm NN Core and CPU backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest CPU backend and the TensorFlow Lite Parser.

Package: armnn-latest-cpu-gpu
Description-md5: 98bb19b187770993c7330abd960877f6
Description-en: Arm NN Core, CPU and GPU backends
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest CPU backend, GPU backend and the TensorFlow Lite
 Parser.

Package: armnn-latest-cpu-gpu-ref
Description-md5: 782c24fe2b9764b8a854fea498d1e7e6
Description-en: Arm NN Core, CPU, GPU, and Reference backends
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest CPU backend, GPU backend, Reference backend and the
 TensorFlow Lite Parser.

Package: armnn-latest-gpu
Description-md5: bfd57b1b1151b25071d9ca68550d268c
Description-en: Arm NN Core and GPU backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest GPU backend and the TensorFlow Lite Parser.

Package: armnn-latest-ref
Description-md5: 4bb4f25345207118d9a03b504f53923e
Description-en: Arm NN Core and Reference backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This packaging release supports TensorFlow Lite.
 Arm NN takes networks from the framework, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is a dependency package containing the latest ArmNN Core package as
 well as the latest Reference backend and the TensorFlow Lite Parser.

Package: libarmnn-cpuacc-backend33
Description-md5: 12789ac23118f1d7ccaf65fff0a4c367
Description-en: Arm NN dynamically loadable Neon backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the dynamically loadable Neon backend package.

Package: libarmnn-cpuref-backend33
Description-md5: 0ea25349835fc42007d27bda9b1d9282
Description-en: Arm NN dynamically loadable Reference backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the dynamically loadable Reference backend package.

Package: libarmnn-dev
Description-md5: 55265e51740ec0ddf8400f172cdc68fb
Description-en: Inference engine for CPUs, GPUs and NPUs - header files
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the development package containing header files.

Package: libarmnn-gpuacc-backend33
Description-md5: e651c549c84d72ff21ea919912e0db94
Description-en: Arm NN dynamically loadable CL backend
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the dynamically loadable CL backend package.

Package: libarmnn33t64
Description-md5: e888567e31b7cecf1376a2ed4d25c4ba
Description-en: Inference engine for CPUs, GPUs and NPUs - shared library
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the shared library package.

Package: libarmnnaclcommon33t64
Description-md5: 735b3e0e5725b9831919684e1831f139
Description-en: Arm NN shared library for Arm Compute Library backends
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the common shared library used by Arm Compute Library backends.

Package: libarmnntfliteparser-dev
Description-md5: fb8b553904254daf9f4b8023fe11c632
Description-en: Arm NN TensorFlow Lite parser library - header files
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the development package containing header files.

Package: libarmnntfliteparser24t64
Description-md5: 00e842db7928cd7878b8ce23695a6920
Description-en: Arm NN TensorFlow Lite parser library
 Arm NN is a set of tools that enables machine learning workloads on
 any hardware. It provides a bridge between existing neural network
 frameworks and whatever hardware is available and supported. On arm
 architectures (arm64 and armhf) it utilizes the Arm Compute Library
 to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
 possible. On other architectures/hardware it falls back to unoptimised
 functions.
 .
 This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
 Arm NN takes networks from these frameworks, translates them
 to the internal Arm NN format and then through the Arm Compute Library,
 deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
 .
 This is the shared library package.

Package: python3-pyarmnn
Description-md5: e21445e8ef70df8ec8d5ee4a54acf089
Description-en: PyArmNN is a python extension for the Armnn SDK
 PyArmNN provides interface similar to Arm NN C++ Api.
 .
 PyArmNN is built around public headers from the armnn/include folder
 of Arm NN. PyArmNN does not implement any computation kernels itself,
 all operations are delegated to the Arm NN library.

.
13245,13259d
10275c
Package: libparquet2500
.
10241c
Package: libgandiva2500
.
10215c
Package: libarrow2500
.
10199c
Package: libarrow-flight2500
.
10183c
Package: libarrow-flight-sql2500
.
10119c
Package: libarrow-dataset2500
.
10087c
Package: libarrow-acero2500
.
