793134,793140d
777278a

Package: torf-cli
Description-md5: b41492946c580744f1d51d7dc2ff78af
Description-en: CLI tool for manipulating torrent files and magnet URIs
 torf-cli is a command line tool that can create, read and edit
 torrent files and magnet URIs. It can also verify a file system path
 against a torrent and provide detailed errors. When creating a
 torrent, it can find an existing torrent with the same files and copy
 its piece hashes to the freshly created torrent to avoid hashing the
 files again
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772111,772121d
727721c
Package: libskarnet2.15
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726432a

Package: libsimint-dev
Description-md5: bc4491b36ad3f09aae4aa9459b1338d0
Description-en: Two-electron integral library (development)
 Simint is a vectorized implementation of the Obara-Saika (OS) method of
 calculating electron repulsion integrals. Speedup is gained by vectorizing the
 primitive loop of the OS algorithm, with additional vectorization and
 optimizations left to the compiler.
 .
 Simint is capable of calculating ERI with the angular momentum in any order.
 That is, it is possible to calculate (ds|ds) and (sd|ds) directly, without
 permutation of the resulting integrals.
 .
 This packages contains the static library and header files.
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714196c
Package: libs6-2.15
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709437c
 This package contains the source for the Rust crates
 ast_nodes from_variant string_enum
 swc_allocator swc_atoms swc_common swc_core swc_eq_ignore_macros
 swc_html_ast swc_html_codegen swc_html_codegen_macros
 swc_html_parser swc_html_utils swc_html_visit
 swc_macros_common swc_malloc swc_sourcemap swc_transform_common
 swc_visit,
.
709424c
Description-md5: 6ac24e90dd9b721da56c3c5aa88efb28
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704618a
Package: progpick
Description-md5: cb3c37c38036cad5f06eed1610dc09ef
Description-en: Bruteforce with a stream of permutations of a specific pattern
 Bruteforce with a stream of permutations of a specific pattern. Also prints a
 progress bar and calculates an ETA.
 .
 In case you tend to forget your LUKS password as well.

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700180a

Package: librust-libcramjam-dev
Description-md5: 4271005d01ad40790f56fa3094341a52
Description-en: Compression library combining a plethora of algorithms in a similar as possible API - Rust source code
 Source code for Debianized Rust crate "libcramjam"
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694411,694412c
 Source code for Debianized Rust crate "digest"
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694409c
Description-md5: 50187dfbcfa251ea99bb084f73a24f7c
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692197a
Package: librust-cee-scape-dev
Description-md5: 560d7802f77c4eb01f53fb835ab0ac02
Description-en: Cee-scape crate provides Rust access to `setjmp` and `sigsetjmp` functionality - Rust source code
 Source code for Debianized Rust crate "cee-scape"

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665587,665592d
655782a
Description-md5: 4773ff9f60de7f9516adebbc90922689
Description-en: Split, Combine and Compress PDF Files
 Content-preserving transformations transformations of PDF files such as split,
 combine, and compress. This package interfaces directly to the 'qpdf'
 C++ library <https://qpdf.sourceforge.io/> and does not require any command
 line utilities. Note that 'qpdf' does not read actual content from PDF files:
 to extract text and data you need the 'pdftools' package.

Package: r-cran-qpdf
.
654768,654776c
Description-md5: fc84048f8067feb1dbbb8d6c9556fdfc
Description-en: Processing of Model Parameters
 Utilities for processing the parameters of various statistical models. Beyond
 computing p values, CIs, and other indices for a wide variety of models (see
 list of supported models using the function 'insight::supported_models()'),
 this package implements features like bootstrapping or simulating of
 parameters and models, feature reduction (feature extraction and variable
 selection) as well as functions to describe data and variable characteristics
 (e.g. skewness, kurtosis, smoothness or distribution).
.
654743,654754c
Description-md5: e800be00a6f6bdcdf712225c97c70366
Description-en: Enhancing the 'parallel' Package
 Utility functions that enhance the 'parallel' package and support the built-in
 parallel backends of the 'future' package. For example, availableCores() gives
 the number of CPU cores available to your R process as given by the operating
 system, 'cgroups' and Linux containers, R options, and environment variables,
 including those set by job schedulers on high-performance compute clusters.
 If none is set, it will fall back to parallel::detectCores().
 Another example is makeClusterPSOCK(), which is backward compatible
 with parallel::makePSOCKcluster() while doing a better job in setting up
 remote cluster workers without the need for configuring the firewall to do
 port-forwarding to your local computer.
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653477a

Package: r-cran-lwgeom
Description-md5: 8be02afe46a757626b61da89d41e9678
Description-en: Bindings to Selected 'liblwgeom' Functions for Simple Features
 Access to selected functions found in 'liblwgeom'
 <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight
 geometry library used by 'PostGIS' <http://postgis.net/>.
.
653050,653056c
Description-md5: 84f78baf5ce9029d777b6bbd63b73260
Description-en: Kernel Smoothing
 Kernel smoothers for univariate and multivariate data, with comprehensive
 visualisation and bandwidth selection capabilities, including for densities,
 density derivatives, cumulative distributions, clustering, classification,
 density ridges, significant modal regions, and two-sample hypothesis tests.
 Chacon & Duong (2018) <doi:10.1201/9780429485572>.
.
651240a
Package: r-cran-fields
Description-md5: d9fee61ec2887cc7a2cfb1cabbdbdf3d
Description-en: Tools for Spatial Data
 For curve, surface and function fitting with an emphasis on splines,
 spatial data, geostatistics, and spatial statistics. The major methods
 include cubic, and thin plate splines, Kriging, and compactly supported
 covariance functions for large data sets. The splines and Kriging methods
 are supported by functions that can determine the smoothing parameter
 (nugget and sill variance) and other covariance function parameters by cross
 validation and also by restricted maximum likelihood. For Kriging there
 is an easy to use function that also estimates the correlation scale
 (range parameter). A major feature is that any covariance function implemented
 in R and following a simple format can be used for spatial prediction.
 There are also many useful functions for plotting and working with spatial
 data as images. This package also contains an implementation of sparse matrix
 methods for large spatial data sets and currently requires the sparse matrix
 (spam) package. Use help(fields) to get started and for an overview.
 All graphics functions focus on using base R graphics. The fields source
 code is deliberately commented and provides useful explanations of numerical
 details as a companion to the manual pages. The commented source code can be
 viewed by expanding the source code version and looking in the R subdirectory.
 The reference for fields can be generated by the citation function in R
 and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported
 in part by the National Science Foundation Grant 1417857, the National Center
 for Atmospheric Research, and Colorado School of Mines. See the Fields URL
 for a vignette on using this package and some background on spatial statistics.

.
649658,649668c
 <DOI:10.1080/07350015.2016.1247004>. The package includes functions
 for estimating the variance- covariance matrix and for testing single- and
 multiple-contrast hypotheses based on Wald test statistics. Tests of single
 regression coefficients use Satterthwaite or saddle-point corrections.
 Tests of multiple-contrast hypotheses use an approximation to Hotelling's
 T-squared distribution. Methods are provided for a variety of fitted models,
 including lm() and mlm objects; glm(); geeglm() (from package 'geepack');
 lm_robust(), lm_lin(), and iv_robust() (from package 'estimatr'); ivreg()
 (from package 'AER'); ivreg() (from package 'ivreg' when estimated by ordinary
 least squares); plm() (from package 'plm'); gls() and lme() (from 'nlme');
 lmer() (from `lme4`); robu() (from 'robumeta'); rma.uni() and rma.mv()
 (from 'metafor'); and mmrm() (from 'mmrm').
.
649656c
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf>
.
649650,649652c
Description-md5: 6d2697d0aeff1cf6a511f3e17a81e42b
Description-en: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
 Provides several cluster-robust variance estimators
.
648671,648692c
Description-md5: 6fbdbea7023d3c4609946a16a8e4a06b
Description-en: Immunoglobulin Clonal Lineage and Diversity Analysis
 Provides methods for high-throughput adaptive immune receptor repertoire
 sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig)
 sequence lineage reconstruction, lineage topology analysis, diversity
 profiling, amino acid property analysis and gene usage. Citations: Gupta and
 Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari
 and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.

.
634713,634721c
Package: libqbscore3.2
Description-md5: 0811f7ca5d99f9e873fc52232c622b8a
Description-en: Qbs core library
 Qbs is a general purpose cross-platform build tool that aims at fast and
 correct incremental builds. It features a project description language that
 is similar to QML.
 .
 This package contains Qbs core shared library.

.
620352c
 Python 3.10+.
.
620349c
Description-md5: b361284580e7673947d9fcc94588c5eb
.
501254a
Package: node-alertify.js
Description-md5: dfbc5812cb227ffc0c7f809c31975baf
Description-en: lightweight, unobtrusive customizable notification system
 Alertify.js is a small library which provides light-weight, high
 performance browser dialogs. Since it uses only 1 HTTP request and a
 payload of less than 3kB, it's a great option for adding basic style to
 alert, dialog, prompt and log messages even on low bandwidth connections.
 .
 Alertify is designed from the ground-up for great performance and a small
 footprint. That means it's not as feature-rich as some other options.
 That's on purpose. The plan is to not add a lot more features so it stays
 a great option for every kind of website and user.
 .
 It's also worth noting that the CSS is bundled by default, so there's no
 need to include any stylesheets to use the default theme. It's dyamically
 inserted before any other elements (like) stylesheets so it's super easy
 to override with your own styles.
 .
 An AngularJS module is also included; it's in the "ngAlertify.js" file.
 .
 Node.js is an event-based server-side JavaScript engine.

.
478087,478096d
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446820,446999d
446793,446810d
432825,432834d
417979,418034d
412308a
Package: libraw25
Description-md5: 436cf471e5e66b160c9d836328eeba54
Description-en: raw image decoder library
 LibRaw is a library for reading RAW files obtained from digital photo cameras
 (CRW/CR2, NEF, RAF, DNG, and others).
 .
 This package contains the shared library.

.
393308a
 .
 For a list of the provided functions, please see the libmd-dev package
 description.
.
393304c
Description-md5: 5707eff50bc364ea574fddaf0ba42dde
.
346723a
Package: libapp-yath-script-perl
Description-md5: 71a4f61fd919a4d96a82cbfc5d8206d5
Description-en: script initialization and utility functions for Test2::Harness
 App::Yath:Script provides the initial entry point for the yath script. It
 handles script discovery, configuration loading, version detection, and
 delegation to version-specific script modules (App::Yath::Script::V{X}).
 .
 The package also contains the yath script.

.
345690,345696d
319634,319639d
250356,250388d
250073,250087d
250011a
Package: libgwyddion-dev
Description-md5: 69637105ae001a13874f9850366f92e8
Description-en: header files for Gwyddion SPM analysis tool
 Gwyddion is a modular program for Scanning Probe Microscopy (SPM) data
 visualization and analysis. It is primarily intended for analysis of height
 field data obtained by microscopy techniques like
  * Atomic Force Microscopy (AFM),
  * Magnetic Force Microscopy (MFM),
  * Scanning Tunneling Microscopy (STM),
  * Near-field Scanning Optical Microscopy (SNOM or NSOM)
 and others. However, it can be used for arbitrary height field and
 image analysis.
 .
 This package contains the header files for libgwyddion3-0.

Package: libgwyddion-doc
Description-md5: 0d30282608bd6a8b92ce64f2aec3a145
Description-en: HTML library API documentation for Gwyddion SPM analysis tool
 Gwyddion is a modular program for Scanning Probe Microscopy (SPM) data
 visualization and analysis. It is primarily intended for analysis of height
 field data obtained by microscopy techniques like
  * Atomic Force Microscopy (AFM),
  * Magnetic Force Microscopy (MFM),
  * Scanning Tunneling Microscopy (STM),
  * Near-field Scanning Optical Microscopy (SNOM or NSOM)
 and others. However, it can be used for arbitrary height field and
 image analysis.
 .
 This package contains the HTML API documentation of all the Gwyddion libraries.
 There is also a tutorial on writing Gwyddion modules included.

.
248541,248548d
247663,247702d
234926a
Package: golang-github-wcharczuk-go-chart-dev
Description-md5: 0de3ab6db6c0f7569911229a13c84cbd
Description-en: basic charting library (Golang)
 go-chart is a very simple golang native charting library that supports
 timeseries and continuous line charts.

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221578a
Package: golang-github-hashicorp-cli-dev
Description-md5: 0febde3b1b9b0a3a09d5fe8373b4dec1
Description-en: Go library for implementing command-line interfaces
 cli is a library for implementing command-line interfaces in Go.

.
219906a
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.

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217377a
Package: golang-github-elliotchance-orderedmap-dev
Description-md5: e10959c9f738e58fdf903e5d2de89777
Description-en: Ordered map in Go with amortized O(1) for Set, Get, Delete and Len (library)
 An *OrderedMap is a high performance ordered map that maintains
 amortized O(1) for Set, Get, Delete and Len:
 .
 Internally an *OrderedMap uses the composite type map
 (https://go.dev/blog/maps) combined with a trimmed down linked list to
 maintain the order.

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Package: envsubst
Description-md5: b8fba541ab21c47f7aabb0ff8e188166
Description-en: Environment variables substitution for Go (program)
 envsubst
 .
 Environment variables substitution for Go - binary program
 (https://godoc.org/github.com/a8m/envsubst)

Package: golang-github-a8m-envsubst-dev
Description-md5: 4714418d7b347f13d8767f4d21b73a68
Description-en: Environment variables substitution for Go (sources)
 envsubst
 .
 Environment variables substitution for Go - sources
 (https://godoc.org/github.com/a8m/envsubst)

.
147944,147956d
124911,124923d
85573a
Package: python3-django-json-widget
Description-md5: 0fd57b95e533fa03daae6c1b29b6117e
Description-en: Alternative widget to edit Django's JSONField
 django-json-widget provides JSONEditorWidget, a Django form widget that
 makes editing JSONField fields easier in the admin interface and custom
 forms by exposing a tree, code or text editor instead of a plain textarea.
 .
 The widget is built on top of the JSON editor JavaScript library by Jos
 de Jong and supports several editor modes (text, code, tree, form, view)
 along with configurable width, height and editor options.

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Package: libatkmm-doc
.
18705a
Description-md5: c6ca8fb974523d1fa72f4a29fc3be987
Description-en: C++ wrappers for ATK transitional package
 This is a transitional package. It can safely be removed.

Package: libatkmm-1.6-doc
Description-md5: d41eef134bacf7ca130ce539def94623
Description-en: C++ wrappers for ATK (documentation) transitional package
 This is a transitional package. It can safely be removed.

Package: libatkmm-dev
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18696,18704d
8123a
Package: libamgcl-dev
Description-md5: ec65c5ece2e2ac48e9fba2a354789071
Description-en: Solves large sparse linear systems with algebraic multigrid method
 AMG is one of the most effective iterative methods for solution of equation
 systems arising, for example, from discretizing PDEs on unstructured grids. The
 method can be used as a black-box solver for various computational problems,
 since it does not require any information about the underlying geometry. AMG is
 often used not as a standalone solver but as a preconditioner within an
 iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
 .
 AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
 provided backends. This allows for transparent acceleration of the solution
 phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
 their own backends which enables tight integration between AMGCL and the user
 code.
 .
 AMG is a header-only C++ library, with the headers provided by this package.

Package: python3-amgcl
Description-md5: ecbb9c7c4315244c6b65581f6b220a1f
Description-en: Solves large sparse linear systems with algebraic multigrid method
 AMG is one of the most effective iterative methods for solution of equation
 systems arising, for example, from discretizing PDEs on unstructured grids. The
 method can be used as a black-box solver for various computational problems,
 since it does not require any information about the underlying geometry. AMG is
 often used not as a standalone solver but as a preconditioner within an
 iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
 .
 AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
 provided backends. This allows for transparent acceleration of the solution
 phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
 their own backends which enables tight integration between AMGCL and the user
 code.
 .
 This package provides the Python interface

.
