839336a

Package: libjs-zxcvbn
Description-md5: cfe4bb54f87aa4d153993b9b37ec0125
Description-en: low-budget password strength estimation - JSlib
 zxcvbn is a password strength estimator inspired by password crackers.
 Through pattern matching and conservative estimation, it recognizes and
 weighs 30k common passwords, common names and surnames according to US
 census data, popular English words from Wikipedia and US television and
 movies, and other common patterns like dates, repeats (aaa), sequences
 (abcd), keyboard patterns (qwertyuiop), and l33t speak.
 .
 Consider using zxcvbn as an algorithmic alternative to password
 composition policy — it is more secure, flexible, and usable when sites
 require a minimal complexity score in place of annoying rules like
 "passwords must contain three of {lower, upper, numbers, symbols}".
 .
  - More secure: policies often fail both ways, allowing weak passwords
    (P@ssword1) and disallowing strong passwords.
  - More flexible: zxcvbn allows many password styles to flourish so long
    as it detects sufficient complexity — passphrases are rated highly
    given enough uncommon words, keyboard patterns are ranked based on
    length and number of turns, and capitalization adds more complexity
    when it's unpredictaBle.
  - More usable: zxcvbn is designed to power simple, rule-free interfaces
    that give instant feedback. In addition to strength estimation, zxcvbn
    includes minimal, targeted verbal feedback that can help guide users
    towards less guessable passwords.
 .
 This package contains the JavaScript library.
 .
 Node.js is an event-based server-side JavaScript engine.

Package: node-zxcvbn
Description-md5: 2c431aaf387a4585bc6d98b3adb9db36
Description-en: low-budget password strength estimation - Node.js
 zxcvbn is a password strength estimator inspired by password crackers.
 Through pattern matching and conservative estimation, it recognizes and
 weighs 30k common passwords, common names and surnames according to US
 census data, popular English words from Wikipedia and US television and
 movies, and other common patterns like dates, repeats (aaa), sequences
 (abcd), keyboard patterns (qwertyuiop), and l33t speak.
 .
 Consider using zxcvbn as an algorithmic alternative to password
 composition policy — it is more secure, flexible, and usable when sites
 require a minimal complexity score in place of annoying rules like
 "passwords must contain three of {lower, upper, numbers, symbols}".
 .
  - More secure: policies often fail both ways, allowing weak passwords
    (P@ssword1) and disallowing strong passwords.
  - More flexible: zxcvbn allows many password styles to flourish so long
    as it detects sufficient complexity — passphrases are rated highly
    given enough uncommon words, keyboard patterns are ranked based on
    length and number of turns, and capitalization adds more complexity
    when it's unpredictaBle.
  - More usable: zxcvbn is designed to power simple, rule-free interfaces
    that give instant feedback. In addition to strength estimation, zxcvbn
    includes minimal, targeted verbal feedback that can help guide users
    towards less guessable passwords.
 .
 This package contains the module for use with Node.js.
 .
 Node.js is an event-based server-side JavaScript engine.
.
794460a
Package: libtvm-ffi-dev
Description-md5: ed1ab7b427ef133e3ee020925e68b8d8
Description-en: Open ABI and FFI for Machine Learning Systems (Development files)
 Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a
 minimal, framework-agnostic, yet flexible open convention with the following
 systems in mind:
 .
 * Kernel libraries - ship one wheel to support multiple frameworks, Python
   versions, and different languages.
 * Kernel DSLs - reusable open ABI for JIT and AOT kernel exposure frameworks
   and runtimes.
 * Frameworks and runtimes - a uniform extension point for ABI-compliant
   libraries and DSLs.
 * ML infrastructure - out-of-box bindings and interop across languages.
 * Coding agents - a unified mechanism for shipping generated code in
   production.
 .
 Apache TVM FFI development files.

Package: libtvm-ffi0
Description-md5: ae2c719d58e19be43ae3099eed09e3fb
Description-en: Open ABI and FFI for Machine Learning Systems (Shared library)
 Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a
 minimal, framework-agnostic, yet flexible open convention with the following
 systems in mind:
 .
 * Kernel libraries - ship one wheel to support multiple frameworks, Python
   versions, and different languages.
 * Kernel DSLs - reusable open ABI for JIT and AOT kernel exposure frameworks
   and runtimes.
 * Frameworks and runtimes - a uniform extension point for ABI-compliant
   libraries and DSLs.
 * ML infrastructure - out-of-box bindings and interop across languages.
 * Coding agents - a unified mechanism for shipping generated code in
   production.
 .
 Apache TVM FFI shared objects.

Package: python3-tvm-ffi
Description-md5: ee06ebb2d5fdd802d0563271ce134f1d
Description-en: Open ABI and FFI for Machine Learning Systems (python)
 Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a
 minimal, framework-agnostic, yet flexible open convention with the following
 systems in mind:
 .
 * Kernel libraries - ship one wheel to support multiple frameworks, Python
   versions, and different languages.
 * Kernel DSLs - reusable open ABI for JIT and AOT kernel exposure frameworks
   and runtimes.
 * Frameworks and runtimes - a uniform extension point for ABI-compliant
   libraries and DSLs.
 * ML infrastructure - out-of-box bindings and interop across languages.
 * Coding agents - a unified mechanism for shipping generated code in
   production.
 .
 Apache TVM FFI Python package.

.
714382a
Package: dosr
Description-md5: 27ab57c3dba8b605cce81c56369294bb
Description-en: Better alternative to sudo(-rs)/su
 Traditional Linux system administration relies on a single powerful user,
 the superuser (root), who holds all system privileges. This model does not
 adhere to the principle of least privilege, as any program executed with
 superuser rights gains far more privileges than necessary.
 .
 The RootAsRole project offers a role-based approach for managing Linux
 capabilities. It includes the dosr (do switch role) tool, which allows users
 to use another role with specific privileges and rights. It includes the
 chsr (change switch role) tool, which enables users to configure their
 roles. This approach enables co-administration of a system by multiple users.

.
711440a
Package: librust-pciid-parser-dev
Description-md5: 12df5c0880c9ec080551ad3d1448f740
Description-en: Parsing PCI ID tables - Rust source code
 Source code for Debianized Rust crate "pciid-parser"

.
710227a
Package: librust-nonstick2-dev
Description-md5: 16b213cd6311a1e93e07be20fd50a508
Description-en: 🍳 Safe Rust bindings for PAM applications and modules - Rust source code
 Source code for Debianized Rust crate "nonstick2"

.
706275a
Package: librust-icu-segmenter-dev
Description-md5: 5b515fb1b640985e09df7b9458946392
Description-en: Unicode line breaking and text segmentation algorithms for text boundaries analysis - Rust source code
 Source code for Debianized Rust crate "icu_segmenter"

.
706255a
Package: librust-icu-normalizer-dev
Description-md5: 30a37dbe83359222d684c6005ffe5e94
Description-en: API for normalizing text into Unicode Normalization Forms - Rust source code
 Source code for Debianized Rust crate "icu_normalizer"

.
702314,702318d
700640a
Package: librust-ctor-lite-dev
Description-md5: d95755e5210a0ebf643e9c7b898b4f88
Description-en: Run code at program startup or shutdown - Rust source code
 Source code for Debianized Rust crate "ctor-lite"

.
665163,665199d
658513,658520c
 Standardisation of cluster validation statistics by random clusterings
 and comparison between many clustering methods and numbers of clusters based
 on this. Cluster-wise cluster stability assessment. Methods for estimation of
 the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction
 strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture
 fitting for mixed continuous/categorical variables. Variable-wise statistics
 for cluster interpretation. DBSCAN clustering. Interface functions for many
 clustering methods implemented in R, including estimating the number of
 clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures.
 For an overview see package?fpc.
.
658506,658509c
Description-md5: 28085a1639f6e24ebb50a497c4b7bb65
Description-en: Flexible Procedures for Clustering
 Various methods for clustering and cluster validation. Fixed point clustering.
 Linear regression clustering. Clustering by merging Gaussian
.
495638,495642c
Description-md5: d3e9cda92c234dd3243b9dd2c0e24b45
Description-en: transitional dummy package
 This is a dependency package for migration to hunspell-fa.
 This package is here only to ensure smooth upgrades from
 myspell-fa to hunspell-fa.
 It can be safely removed afterwards.
.
479234a
Package: mesa-vdpau-drivers
Description-md5: 7c080dbf2ff4daf69aac90ada3f5f4a3
Description-en: Mesa VDPAU graphics drivers - transitional package
 This transitional package ensures that older versions of mesa-vdpau-drivers
 are replaced by mesa-libgallium during upgrades.
 .
 This is a transitional dummy package, it can be safely removed.

.
479217a
Description-md5: 84f15c6dc6d53238006d2ef33cea675a
Description-en: Mesa VA-API graphics drivers - transitional package
 This transitional package ensures that older versions of mesa-va-drivers
 are replaced by mesa-libgallium during upgrades.
 .
 This is a transitional dummy package, it can be safely removed.

Package: mesa-va-drivers
.
477300,477307d
134270,134272c
   ansifilter-gui, arqiver, dupeguru, gwenview, membernator, mirage,
   packeth, packetsender, shotwell, sqlitebrowser, sxiv, vlc, wireshark
.
134256c
Description-md5: 3f80f2a0e1465a1a052903863fd3e31f
.
81265c
 Octave add-on packages, which is implemented in autodep8.
.
81260c
Description-md5: 36edbe1d8d7fe67ce1372398e79845e1
.
54398a
Package: libclipper2-2
Description-md5: 85287b7fc94a36cd9ea9b2b6a7f490df
Description-en: polygon clipping, offsetting and triangulation library
 Clipper2 provides C++ polygon clipping, offsetting and triangulation
 support. This package contains the default Clipper2 shared library.

Package: libclipper2-dev
Description-md5: 924c8905dd9eb82115a1513096aa4d04
Description-en: development files for Clipper2
 Clipper2 provides C++ polygon clipping, offsetting and triangulation
 support. This package contains the headers, CMake package files,
 pkg-config metadata, and unversioned linker symlinks.

Package: libclipper2utils2
Description-md5: 902c8b98d3e030b3eea7cfcb62396e28
Description-en: polygon clipping, offsetting and triangulation utility library
 Clipper2 provides C++ polygon clipping, offsetting and triangulation
 support. This package contains the Clipper2 utility shared library.

Package: libclipper2z2
Description-md5: e3c9235d7368d06cf8eb93566e5c4f9c
Description-en: polygon clipping, offsetting and triangulation library with USINGZ support
 Clipper2 provides C++ polygon clipping, offsetting and triangulation
 support. This package contains the Clipper2Z shared library built with
 USINGZ enabled.

Package: libclipper2zutils2
Description-md5: 5a8caca043f8559459fb18031b2b6e27
Description-en: polygon clipping utility library with USINGZ support
 Clipper2 provides C++ polygon clipping, offsetting and triangulation
 support. This package contains the Clipper2Z utility shared library built
 with USINGZ enabled.

.
