763077a

Package: xracer
Description-md5: aaa55dcc7a55a5e0bfeeb68c0b212a5f
Description-en: Futuristic racing game
 Xracer is a Wipeout clone, distributed under the GPL. It should be able to use
 any OpenGL 1.1 compliant library. A 3D accelerator card is required.
 .
 This is the game data and binary.
 .
 If you want to build new tracks or other game data, you may also want to
 install the xracer-tools package.

Package: xracer-tools
Description-md5: e501889291393c74fd843b5a4bee7c2a
Description-en: Futuristic racing game - developer tools
 Xracer is a Wipeout clone, distributed under the GPL. It should be able to use
 any OpenGL 1.1 compliant library. A 3D accelerator card is required.
 .
 These are a few tools to design your own game data. In order to play the game,
 you will need the xracer package.
.
758357a

Package: xfel
Description-md5: 967cc8f2b5ac1e453b8444d8bf67a902
Description-en: Tiny FEL tools for Allwinner SOC.
 FEL is a low-level subroutine contained in the BootROM on Allwinner devices.
 It is used for initial programming and recovery of devices using USB.
.
744386a
Package: libvnu-java
Description-md5: dd5e885702b029e253eaca176315a5dc
Description-en: Nu Html Checker (v.Nu) - jar file
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships the jar.

Package: libvnu-java-common
Description-md5: 4add81b67b0bc8a5fd6a2dd69bf3f5cb
Description-en: Nu Html Checker (v.Nu) - jar file
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships the vendored dependency jars shipped by vnu. They are
 required for vnu to work. These jars are modified versions of the original
 project they stem from.

Package: vnu
Description-md5: 2a59845a304211a7ba0b2e316f0afc03
Description-en: Nu Html Checker (v.Nu)
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships the scripts to run vnu and the documentation of vnu.

Package: vnu-client
Description-md5: 7d83df802227b9ab35765b52e5488bec
Description-en: Nu Html Checker (v.Nu) - HTTP client
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships the material to run the vnu HTTP client.

Package: vnu-common
Description-md5: 48784563815f37e2a50ed32dc96dee41
Description-en: Nu Html Checker (v.Nu) - web app
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships an uncompressed web-app for direct use. It ships with
 symbolic links to the libraries it depends on.

Package: vnu-jetty12
Description-md5: 166edd0e7717062a0c753d97f4d87f86
Description-en: Nu Html Checker (v.Nu) - jetty12 configuration files
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships configuration files for usage with jetty12.

Package: vnu-jetty9
Description-md5: 1d5bac3e014f4c64bdf50aa9b21b095d
Description-en: Nu Html Checker (v.Nu) - jetty9 configuration files
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships configuration files for usage with jetty9.

Package: vnu-server
Description-md5: ce3b98cc7c19f695f8090d98392ae991
Description-en: Nu Html Checker (v.Nu) - standalone server
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships the material to run the vnu server (built-in standalone
 server).

Package: vnu-tomcat11
Description-md5: 6c14518eefc9c58fd3538bace98a0ac0
Description-en: Nu Html Checker (v.Nu) - tomcat11 configuration files
 The Nu Html Checker (v.Nu) helps you catch unintended mistakes in your HTML,
 CSS, and SVG. It enables you to batch-check documents from the command line
 and from other scripts/apps, and to deploy your own instance of the checker
 as a service (like validator.w3.org/nu). Its source code is available, as are
 instructions on how to build, test, and run the code.
 .
 This package ships configuration files for usage with tomcat11.

.
722921a
Package: tortoisehg
Description-md5: 4e9c66e6fcc1d4d08cdd223ecf123226
Description-en: Graphical tool for working with Mercurial
 TortoiseHg provides a graphical tool for interacting with the distributed
 revision control system Mercurial.  GUI support is provided for over a dozen
 operations, including add files, commit changes, manage ignore filter, view
 change log, merge, recover/rollback, edit configuration, synchronize
 repository, and many others.   The highlight is the interactive commit tool
 which allows easy selection of diffs from multiple files and packaging into
 changesets, and which is more powerful and easier to use than available
 alternatives such as qct and hgct (commit-tool).

Package: tortoisehg-caja
Description-md5: 14e2e3ecdca63f8131b64ededbc736dd
Description-en: Graphical tool for working with Mercurial (Caja extension)
 TortoiseHg provides a graphical tool for interacting with the distributed
 revision control system Mercurial.  GUI support is provided for over a dozen
 operations, including add files, commit changes, manage ignore filter, view
 change log, merge, recover/rollback, edit configuration, synchronize
 repository, and many others.   The highlight is the interactive commit tool
 which allows easy selection of diffs from multiple files and packaging into
 changesets, and which is more powerful and easier to use than available
 alternatives such as qct and hgct (commit-tool).
 .
 This package contains the Caja extension for TortoiseHg.

Package: tortoisehg-nautilus
Description-md5: b9f549998795e501d5d1c3254a8ff145
Description-en: Graphical tool for working with Mercurial (Nautilus extension)
 TortoiseHg provides a graphical tool for interacting with the distributed
 revision control system Mercurial.  GUI support is provided for over a dozen
 operations, including add files, commit changes, manage ignore filter, view
 change log, merge, recover/rollback, edit configuration, synchronize
 repository, and many others.   The highlight is the interactive commit tool
 which allows easy selection of diffs from multiple files and packaging into
 changesets, and which is more powerful and easier to use than available
 alternatives such as qct and hgct (commit-tool).
 .
 This package contains the Nautilus extension for TortoiseHg.

.
722040,722055d
694617a
Package: swift-tools
Description-md5: 2b1f6f3d0288e9cc31804cf99adb2766
Description-en: Swift cluster cli helpers utilities
 This package contains a set of utilities to help managing Swift cluster. It
 helps, for example:
  * Check rebalance status
  * Show status of the cluster
  * Check max oldest completion
  * Compare two version of ring

.
694593a
Package: python3-swift
Description-md5: 1610b42ded260a638127e10387659e4f
Description-en: distributed virtual object store - Python 3 libraries
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the Python 3 libraries that actually implement
 everything.

Package: swift
Description-md5: ae79e11cc5600f4ba17123c714a6e77f
Description-en: distributed virtual object store - common files
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides some core binaries and clients to control swift.

Package: swift-account
Description-md5: 3036744e8c7a33630c66000de276bc4d
Description-en: distributed virtual object store - account server
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the swift account server.

Package: swift-container
Description-md5: 91415789b0791eb87a4a509375cb71f9
Description-en: distributed virtual object store - container server
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the swift container server.

Package: swift-doc
Description-md5: abe08af91e7984bf8b4d385664611826
Description-en: distributed virtual object store - documentation
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the Sphinx generated documentation for Swift.

Package: swift-drive-audit
Description-md5: 4e748f65205dbfe2c455f8eb71768fe0
Description-en: distributed virtual object store - drive audit
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the swift drive audit tool.

Package: swift-object
Description-md5: 73e383e053bde1983dc84778bad843bb
Description-en: distributed virtual object store - object server
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the swift object server.

Package: swift-object-expirer
Description-md5: f95ba63fe025cee6584ff053c757edde
Description-en: distributed virtual object store - object-expirer
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides the swift object expirer daemon. Only a single instance
 of this daemon is needed for a given swift cluster, which is why it is
 packaged separately.

Package: swift-proxy
Description-md5: fa21167c19ef3bb5ad3d841199e8d1d3
Description-en: distributed virtual object store - proxy server
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.
 .
 Objects are written to multiple hardware devices in the data center, with
 the OpenStack software responsible for ensuring data replication and
 integrity across the cluster. Storage clusters can scale horizontally by
 adding new nodes. Should a node fail, OpenStack works to replicate its
 content from other active nodes. Because OpenStack uses software logic to
 ensure data replication and distribution across different devices,
 inexpensive commodity hard drives and servers can be used in lieu of more
 expensive equipment.
 .
 This package provides a proxy server on which clients can connect to store
 object into Swift.

Package: swift-bench
Description-md5: bce98635d7955dcd890a4ebd5d8a70e3
Description-en: benchmarking tool for Swift
 Swift Bench is simple tool for benchmarking OpenStack Swift cluster
 .
 OpenStack Object Storage (code-named Swift) creates redundant, scalable object
 storage using clusters of standardized servers to store petabytes of
 accessible data. It is not a file system or real-time data storage system, but
 rather a long-term storage system for a more permanent type of static data
 that can be retrieved, leveraged, and then updated if necessary. Primary
 examples of data that best fit this type of storage model are virtual machine
 images, photo storage, email storage and backup archiving. Having no central
 "brain" or master point of control provides greater scalability, redundancy
 and permanence.

.
689640,689651c
Description-md5: af8fdd9f5258635895264c9c97312f49
Description-en: set of contributed scripts to help working with stgit
 This package provides the following helper scripts:
  * stg-cvs: synchronize a CVS mirror branch and commit patches to CVS
  * stg-gitk: display the StGit stack in gitk without patch-log clutter
  * stg-k: run an stg command while preserving uncommitted local changes
  * stg-mdiff: show meta-diffs (the difference between two patch diffs)
  * stg-show: git-show with StGit reference name support
  * stg-unnew: reverse an stg-new, restoring patch contents to the working tree
.
673715,673716c
Description-md5: 5d1831b2a0b0adce5349baf1a61cffb5
Description-en: tools for public/transparent logging of signed checksums
.
673707,673708c
Description-md5: 599667bcf7495410fab4482462221197
Description-en: library for public/transparent logging of signed checksums
.
670129c
 This package supports REGEX, DB, NIS, LDAP, DNS maps,
.
670114c
Description-md5: fef58ba5a63d55e6b33fd0dcb4e9637c
.
670097c
 This package supports REGEX, DB, NIS, LDAP, DNS maps,
.
670082c
Description-md5: d10c2636897e9d9ace935aa24dba7182
.
667241a
Package: scim-modules-table
Description-md5: 54fdc1c66d17d2659c9294bf989f7ec3
Description-en: generic tables IM engine module for SCIM platform
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package is the generic tables IM engine for SCIM.  With data tables this
 module can provides input method for various languages.
 .
 For details about SCIM, please see the description of package scim.

Package: scim-tables-additional
Description-md5: 86323104f93410fe1d0ab899c870be2e
Description-en: miscellaneous input method data tables for SCIM platform
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package contains SCIM input method data tables for non-CJK languages.
 The currently supported languages are Amharic, Arabic, Nepali, Russian, Thai,
 Ukrainian, Vietnamese, and several Indic languages (Bengali, Gujarati, Hindi,
 Kannada, Malayalam, Punjabi, Tamil and Telugu).  It also provides support for
 X-SAMPA and LaTeX style input.
 .
 Note many table-based input methods provided in this package are very
 primitive, and probably doesn't fit native speakers' need.  Users
 should also look at scim-m17n package (which uses M17N library) and see
 if it provides better support to the language he/she needs.
 .
 For details about SCIM, please see the description of package scim.

Package: scim-tables-ja
Description-md5: 8b79465e5466b23be4c4e1d4e86e4745
Description-en: Japanese input method data tables for SCIM platform
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package contains SCIM table-based input method data for Japanese.
 Currently the provided tables are Hiragana, Katagana, and Nippon.
 .
 Note the table-based Japanese input method provided in this package is
 very primitive, probably only useful for people just start learning
 Japanese, and most certainly doesn't fit native speakers' need.  Users
 who need to input Japanese all the time should look at other SCIM
 modules for Japanese, such as scim-anthy package.
 .
 For details about SCIM, please see the description of package scim.

Package: scim-tables-ko
Description-md5: 588fd4cfc35544d2cd404c8e00f9c3cb
Description-en: Korean input method data tables for SCIM platform
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package contains SCIM table-based input method data for Korean.
 Currently the provided tables are Hangul, Hangul Romaja, and Hanja.
 .
 Note the table-based Korean input method provided in this package is
 very primitive, probably only useful for people just start learning
 Korean, and most certainly doesn't fit native speakers' need.  Users
 who need to input Korean all the time should look at other SCIM modules
 for Korean, such as scim-hangul package.
 .
 For details about SCIM, please see the description of package scim.

Package: scim-tables-zh
Description-md5: 339e857e0eb9a8494f7b262a7dac2c1e
Description-en: Chinese input method data tables for SCIM platform
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package contains SCIM table-based input method data for Chinese.
 Currently the provided tables are:
 .
 Array30, CangJie, CangJie3, CangJie5, Cantonese, CantonHK, CNS11643,
 Dayi3, EZ-Big, Erbi, Erbi-QS, Jyutping, Quick, Simplex, Stroke5, Wubi,
 Wu, ZhuYin, ZhuYin-Big, and Ziranma.
 .
 Traditional Chinese users may also want to look at the scim-chewing
 package, which provides a Phonetic (BoPoMoFo) input method likely
 better than the one provided by ZhuYin and ZhuYin-Big tables in this
 package.
 .
 For details about SCIM, please see the description of package scim.

.
667209a
Package: scim-chewing
Description-md5: fe583a5cc9e44e40fd40b223a89250b3
Description-en: Chewing IM engine module for SCIM
 SCIM (Smart Common Input Method) is an input method (IM) platform.
 .
 This package is the chewing IM engine module for SCIM. With this module,
 you can use intelligent Chinese input method with HanYu PinYin keyboard
 and a various of ZhuYin(bopomofo) keyboards.
 .
 For details about SCIM, please see the description of package scim.

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656264a
Package: librust-sd-listen-fds-dev
Description-md5: 7628a3bff81691d1cac6219a2ae9ea3a
Description-en: Accept file descriptors from systemd - Rust source code
 Source code for Debianized Rust crate "sd-listen-fds"

.
650624,650650d
647175a
Package: librust-hidreport-dev
Description-md5: 780235827f550a770a505bd1757c6d98
Description-en: HID Report Descriptor and HID Report parser - Rust source code
 Source code for Debianized Rust crate "hidreport"

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646117a
Package: librust-gix-imara-diff-dev
Description-md5: 0185986507f5e2cf77c4b1760f03df40
Description-en: High performance library for computing diffs - Rust source code - Rust source code
 Imara-diff is a solid (imara in Swahili) diff library for Rust. Solid refers to
 the fact that imara-diff provides very good runtime performance even in
 pathological cases so that your application never appears to freeze while
 waiting on a diff. The performance improvements are achieved using battle
 tested heuristics used in gnu-diff and git that are known to yield fast runtime
 and performance.
 .
 Imara-diff provides two diff algorithms:
 .
  - The linear-space variant of the well known Myers algorithm
  - The Histogram algorithm which is a variant of the patience diff algorithm.
 .
 Myers algorithm has been enhanced with preprocessing and multiple heuristics to
 ensure fast runtime in pathological cases to avoid quadratic time complexity
 and closely matches the behavior of gnu-diff and git. The Histogram algorithm
 was originally ported from git but has been heavily optimized. The Histogram
 algorithm outperforms Myers diff by 10% - 100% across a wide variety of
 workloads.
 Source code for Debianized Rust crate "gix-imara-diff"

.
642044,642045c
 Source code for Debianized Rust crate "cov-mark"
.
642042c
Description-md5: 9c67ac863dc578b6edad08d839f6b8fd
.
619333,619334c
 of shield. This game once took 4th place in the NoStarch game contest.
.
619328c
Description-md5: 70833318ad7816a8a518e30b224dd83f
.
614768a
Package: regexxer
Description-md5: 220cdeac7288a05388f84791701a3d2e
Description-en: visual search and replace tool using Perl Regex
 Regexxer is a nifty GUI search/replace tool featuring Perl-style
 regular expressions (PCRE - Perl Regex). If you need project-wide
 substitution and you're tired of hacking sed command lines together,
 then you should definitely give it a try.
 .
 The tool can be used to search files or contents inside of a file.

.
610317a
Package: r-cran-xts
Description-md5: 256c1dea5ae9afae1d8d5fa33992841f
Description-en: eXtensible Time Series
 Provide for uniform handling of R's different time-based data classes
 by extending zoo, maximizing native format information preservation
 and allowing for user level customization and extension, while simplifying
 cross-class interoperability.

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Package: r-cran-tidytext
Description-md5: 6606c490a5945f4d2f154adeefafdd1a
Description-en: GNU R text mining using 'dplyr', 'ggplot2', and other tidy tools
 Using tidy data principles can make many text mining tasks easier,
 more effective, and consistent with tools already in wide use. Much of the
 infrastructure needed for text mining with tidy data frames already exists
 in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. This package
 provides functions and supporting data sets to allow conversion of text
 to and from tidy formats, and to switch seamlessly between tidy tools and
 existing text mining packages.

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609785a
Package: r-cran-tidygraph
Description-md5: 906a78a22e0dd6ffc06b45f8b74bb89e
Description-en: GNU R tidy API for graph manipulation
 A graph, while not "tidy" in itself, can be thought of as two tidy
 data frames describing node and edge data respectively. 'tidygraph'
 provides an approach to manipulate these two virtual data frames using the
 API defined in the 'dplyr' package, as well as provides tidy interfaces to
 a lot of common graph algorithms.

Package: r-cran-tidyr
Description-md5: cf91f9f97b6c1544f0d8ddbba99b81fc
Description-en: Tidy Messy Data
 Tools to help to create tidy data, where each column is a variable,
 each row is an observation, and each cell contains a single value.
 'tidyr' contains tools for changing the shape (pivoting) and hierarchy
 (nesting and 'unnesting') of a dataset, turning deeply nested lists
 into rectangular data frames ('rectangling'), and extracting values out
 of string columns. It also includes tools for working with missing values
 (both implicit and explicit).

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609779a
Package: r-cran-themis
Description-md5: 1e2560b761017307869a26e9ef3c3098
Description-en: GNU R 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
 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and
 ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by
 decreasing the number of majority cases using NearMiss 2003
 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
 link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

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609748a
Package: r-cran-tfisher
Description-md5: d812b2212b696c51c9c8f329c5fc7c80
Description-en: GNU R optimal thresholding fisher's P-value combination method
 This GNU R package provides the cumulative distribution function (CDF),
 quantile, and statistical power calculator for a collection of
 thresholding Fisher's p-value combination methods, including Fisher's
 p-value combination method, truncated product method and, in particular,
 soft-thresholding Fisher's p-value combination method which is proven to
 be optimal in some context of signal detection. The p-value calculator
 for the omnibus version of these tests are also included. For reference,
 please see Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and
 Adaptive Thresholding for Combining p-Values", submitted.

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609639a
Package: r-cran-susier
Description-md5: 7fce5689bece233e636964890d018a59
Description-en: GNU R sum of single effects linear regression
 Implements methods for variable selection in linear
 regression based on the "Sum of Single Effects" (SuSiE) model, as
 described in Wang et al (2020) <DOI:10.1101/501114>. These methods
 provide simple summaries, called "Credible Sets", for accurately
 quantifying uncertainty in which variables should be selected.
 The methods are motivated by genetic fine-mapping applications,
 and are particularly well-suited to settings where variables are
 highly correlated and detectable effects are sparse. The fitting
 algorithm, a Bayesian analogue of stepwise selection methods
 called "Iterative Bayesian Stepwise Selection" (IBSS), is simple
 and fast, allowing the SuSiE model be fit to large data sets
 (thousands of samples and hundreds of thousands of variables).

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609388,609389c
 on them. The package also includes utility functions for matrix calculations
 that are common in statistics, such as quadratic forms.
.
609385,609386c
Description-md5: 342e92bf0509ea87dd1f5d4790789f7b
Description-en: Sparse Three-Dimensional Arrays and Linear Algebra Utilities
.
609193a
Package: r-cran-spacetime
Description-md5: 9b0956cf8bfa20f9d6a98361ef8ac4e0
Description-en: GNU R classes and methods for spatio-temporal data
 Classes and methods for spatio-temporal data, including space-time
 regular lattices, sparse lattices, irregular data, and trajectories;
 utility functions for plotting data as map sequences (lattice or
 animation) or multiple time series; methods for spatial and temporal
 selection and subsetting, as well as for spatial/temporal/spatio-
 temporal matching or aggregation, retrieving coordinates, print,
 summary, etc.

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609118a
Package: r-cran-sn
Description-md5: 0ccb2979748c941037de8abf57a96555
Description-en: GNU R package providing skew-normal and skew-t distributions
 This package provides functions for manipulating skew-normal and
 skew-t probability distributions, and for fitting them to data, in
 the scalar and in the multivariate case.

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608936a
Package: r-cran-sctransform
Description-md5: 9d4209991cd42878ad22e608ca2cb8dd
Description-en: Variance Stabilizing Transformations for Single Cell UMI Data
 A normalization method for single-cell UMI count data using
 a variance stabilizing transformation. The transformation is based
 on a negative binomial regression model with regularized parameters.
 As part of the same regression framework, this package also provides functions
 for batch correction, and data correction. See Hafemeister and Satija
 (2019) <doi:10.1186/s13059-019-1874-1>, and Choudhary and Satija (2022)
 <doi:10.1186/s13059-021-02584-9> for more details.

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608727a
Package: r-cran-rsolnp
Description-md5: c40ce1bf250a823cf2578339a53a4017
Description-en: General Non-Linear Optimization
 General Non-linear Optimization Using Augmented Lagrange Multiplier Method.

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608712a
Package: r-cran-rsample
Description-md5: ff7cd329dc4ad2b235bff31b6b7f5cdd
Description-en: GNU R general resampling infrastructure
 Classes and functions to create and summarize different types of
 resampling objects (e.g. bootstrap, cross-validation).
 .
 A resample is defined as the result of a two-way split of a data set.
 For example, when bootstrapping, one part of the resample is a sample
 with replacement of the original data. The other part of the split
 contains the instances that were not contained in the bootstrap sample.
 Cross-validation is another type of resampling.

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608663a
Package: r-cran-roxygen2
Description-md5: 54c44cc2704e16b486d200fbd57c12ba
Description-en: in-line documentation for GNU R
 Generate your Rd documentation, 'NAMESPACE' file, and collation
 field using specially formatted comments. Writing documentation in-line
 with code makes it easier to keep your documentation up-to-date as your
 requirements change. 'Roxygen2' is inspired by the 'Doxygen' system for C++.

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608508a
Package: r-cran-rmariadb
Description-md5: a2601d46346d3f76e937c2522e01671b
Description-en: Database Interface and 'MariaDB' Driver
 Implements a 'DBI'-compliant interface to 'MariaDB'
 (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>)
 databases.

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608323a
Package: r-cran-regsem
Description-md5: 00b39acbb8a8671b4bacc7bb49f721cb
Description-en: GNU R regularized structural equation modeling
 Uses both ridge and lasso penalties (and extensions) to penalize
 specific parameters in structural equation models. The package offers
 additional cost functions, cross validation, and other extensions beyond
 traditional structural equation models. Also contains a function to
 perform exploratory mediation (XMed).

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608311a
Package: r-cran-recipes
Description-md5: a06c853fdf9e338fbd2a03720b95f990
Description-en: Preprocessing and Feature Engineering Steps for Modeling
 A recipe prepares your data for modeling. We provide an extensible framework
 for pipeable sequences of feature engineering steps provides preprocessing
 tools to be applied to data. Statistical parameters for the steps can
 be estimated from an initial data set and then applied to other data sets.
 The resulting processed output can then be used as inputs for statistical
 or machine learning models.

Package: r-cran-redland
Description-md5: 8fc4b837b9b6d2d10ad1b85cecf6d5ef
Description-en: RDF library bindings in GNU R
 GNU R methods to parse, query and serialize information stored in the
 Resource Description Framework (RDF).
 .
 This package supports RDF by implementing an R interface to the Redland
 RDF C library.  In brief, RDF provides a structured graph consisting of
 Statements composed of Subject, Predicate, and Object Nodes.

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608267a
Package: r-cran-rdflib
Description-md5: ff9c5eb73f760b6ecd6037a383eda240
Description-en: GNU R tools to manipulate and query semantic data
 The Resource Description Framework, or 'RDF' is a widely used
 data representation model that forms the cornerstone of the
 Semantic Web. 'RDF' represents data as a graph rather than
 the familiar data table or rectangle of relational databases.
 The 'rdflib' package provides a friendly and concise user interface
 for performing common tasks on 'RDF' data, such as reading, writing
 and converting between the various serializations of 'RDF' data,
 including 'rdfxml', 'turtle', 'nquads', 'ntriples', and 'json-ld';
 creating new 'RDF' graphs, and performing graph queries using 'SPARQL'.
 This package wraps the low level 'redland' R package which
 provides direct bindings to the 'redland' C library.  Additionally,
 the package supports the newer and more developer friendly
 'JSON-LD' format through the 'jsonld' package. The package
 interface takes inspiration from the Python 'rdflib' library.

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608033a
Package: r-cran-rcarb
Description-md5: 3683a4bb8d772656ce1bf46297cc2bb8
Description-en: Dose Rate Modelling of Carbonate-Rich Samples
 Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008
 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate
 modelling for carbonate-rich samples in the context of trapped charged dating
 (e.g., luminescence dating) applications.

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607885a
Package: r-cran-quantreg
Description-md5: 016299bcc49bf247cc69fbb561fdc2f7
Description-en: GNU R package for quantile regression
 The quantreg package provides quantitle regression and related methods.

Package: r-cran-quickjsr
Description-md5: bbc5637aa99602f5d90e8ff40abae802
Description-en: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
 An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine
 and all 'R' to 'JavaScript' interoperability is bundled within the package,
 requiring no dependencies beyond a 'C' compiler.

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Package: r-cran-purrrlyr
Description-md5: 568c986c49c3571d553da2b3f570d9a8
Description-en: GNU R Tools at the Intersection of 'purrr' and 'dplyr'
 This GNU R package provides some functions at the intersection of
 r-cran-dplyr and r-cran-purrr that formerly lived in the
 package r-cran-purrr.

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607705a
Package: r-cran-psychometric
Description-md5: 1b33dfcccd431062850e3ec2e244eb92
Description-en: GNU R applied psychometric theory
 Contains GNU R functions useful for correlation theory,
 meta-analysis (validity-generalization), reliability, item
 analysis, inter-rater reliability, and classical utility.

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Package: r-cran-popepi
Description-md5: 5b278b12982f690e8520ca0cdb0c082f
Description-en: Functions for Epidemiological Analysis using Population Data
 Enables computation of epidemiological statistics where e.g.
 counts or mortality rates of the reference population are used. Currently
 supported: excess hazard models, rates, mean survival times, relative
 survival, as well as standardized incidence and mortality ratios (SIRs/SMRs),
 all of which can be easily adjusted for e.g. age.
 Fast splitting and aggregation of 'Lexis' objects (from package 'Epi')
 and other computations achieved using 'data.table'.

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Package: r-cran-patrick
Description-md5: ba2453a4a5ebd4f5a55b68b637c8811d
Description-en: GNU R parameterized unit testing
 This is an extension of the 'testthat' package that
 lets you add parameters to your unit tests. Parameterized unit tests
 are often easier to read and more reliable, since they follow the DNRY
 (do not repeat yourself) rule.

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606716a
Package: r-cran-mpoly
Description-md5: 7bd2472fafdf7f1aea4c2b72d6ca83c4
Description-en: symbolic computing with multivariate polynomials in R
 mpoly is a simple collection of tools to help deal with multivariate
 polynomials symbolically and functionally in R.  Features include
 term ordering, creating vectors of polynomials, extracting pieces of
 polynomials, arithmetic, derivatives, evaluation, homogenization and
 dehomogenization, and many special polynomials.

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606635a
Package: r-cran-mixturefitting
Description-md5: 5eb52873cc88e11d1692249f5f2dde51
Description-en: Fitting of Univariate Mixture Distributions to Data
 Methods for fitting mixture distributions to univariate data using expectation
 maximization, HWHM and other methods. Supports Gaussian, Cauchy, Student's t
 and von Mises mixtures. For more details see Merkys (2018)
 https://www.lvb.lt/permalink/370LABT_NETWORK/1m6ui06/alma9910036312108451

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Package: r-cran-mcmcpack
Description-md5: 19b66f12b9d5acde995576fa207cf019
Description-en: Markov Chain Monte Carlo (MCMC) Package
 Contains functions to perform Bayesian inference using posterior simulation
 for a number of statistical models. Most simulation is done in compiled C++
 written in the Scythe Statistical Library Version 1.0.3. All models return
 'coda' mcmc objects that can then be summarized using the 'coda' package.
 Some useful utility functions such as density functions, pseudo-random number
 generators for statistical distributions, a general purpose Metropolis
 sampling algorithm, and tools for visualization are provided.

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Package: r-cran-matrixstats
Description-md5: cef9b3009447c65590eb470b69b48262
Description-en: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
 High-performing functions operating on rows and columns of matrices, e.g. col
 / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized
 per data type and for subsetted calculations such that both memory usage and
 processing time is minimized. There are also optimized vector-based methods,
 e.g. binMeans(), madDiff() and weightedMedian().

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Package: r-cran-lubridate
Description-md5: 170d3bc6ba9ff0387e000af7418ea69f
Description-en: Make Dealing with Dates a Little Easier
 Functions to work with date-times and time-spans: fast and user friendly
 parsing of date-time data, extraction and updating of components of
 a date-time (years, months, days, hours, minutes, and seconds), algebraic
 manipulation on date-time and time-span objects. The 'lubridate' package has
 a consistent and memorable syntax that makes working with dates easy and fun.

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Package: r-cran-irace
Description-md5: 058d4409451b50a8d30d7521a06c0d14
Description-en: Iterated Racing for Automatic Algorithm Configuration
 Iterated race is an extension of the Iterated F-race method for the automatic
 configuration of optimization algorithms, that is, (offline) tuning their
 parameters by finding the most appropriate settings given a set of instances
 of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez
 Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.

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Package: r-cran-ggstats
Description-md5: a92533b0f2ca2b83c4bd1dac5cda8ab9
Description-en: Extension to 'ggplot2' for Plotting Stats
 Provides new statistics, new geometries and new positions for 'ggplot2'
 and a suite of functions to facilitate the creation of statistical plots.

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Package: r-cran-ggfortify
Description-md5: c28755ef4e7744309bdcc26090c24689
Description-en: GNU R data visualization tools for statistical analysis results
 Unified plotting tools for statistics commonly used, such as GLM,
 time series, PCA families, clustering and survival analysis. The package offers
 a single plotting interface for these analysis results and plots in a unified
 style using 'ggplot2'.

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Package: r-cran-ggalluvial
Description-md5: cab3a637b5d047edf9dc692020b2b18f
Description-en: Alluvial Plots in 'ggplot2'
 Alluvial plots use variable-width ribbons and stacked bar plots to
 represent multi-dimensional or repeated-measures data with categorical
 or ordinal variables; see Riehmann, Hanfler, and Froehlich (2005)
 <doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
 <doi:10.1371/journal.pone.0008694>. Alluvial plots are statistical
 graphics in the sense of Wilkinson (2006) <doi:10.1007/0-387-28695-0>;
 they share elements with Sankey diagrams and parallel sets plots but
 are uniquely determined from the data and a small set of parameters.
 This package extends Wickham's (2010) <doi:10.1198/jcgs.2009.07098>
 layered grammar of graphics to generate alluvial plots from tidy data.

Package: r-cran-ggally
Description-md5: b73a724ef03578d965af957406d2082f
Description-en: GNU R extension to r-cran-ggplot2
 The R package 'ggplot2' is a plotting system based on the grammar of
 graphics. 'GGally' extends 'ggplot2' by adding several functions to
 reduce the complexity of combining geometric objects with transformed
 data. Some of these functions include a pairwise plot matrix, a two
 group pairwise plot matrix, a parallel coordinates plot, a survival
 plot, and several functions to plot networks.

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Package: r-cran-epiestim
Description-md5: 9bbd29ca7a1ae21ad2a0f295ef917dae
Description-en: GNU R estimate time varying reproduction numbers from rpidemic curves
 Tools to quantify transmissibility throughout
 an epidemic from the analysis of time series of incidence as described in
 Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004)
 <doi:10.1093/aje/kwh255>.

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Package: r-cran-epi
Description-md5: 5cf4a6d063017f9186e6ab30647e95d2
Description-en: Statistical Analysis in Epidemiology
 Functions for demographic and epidemiological analysis in the Lexis diagram,
 i.e. register and cohort follow-up data. In particular representation,
 manipulation, rate estimation and simulation for multistate data -
 the Lexis suite of functions, which includes interfaces to 'mstate', 'etm'
 and 'cmprsk' packages. Contains functions for Age-Period-Cohort and
 Lee-Carter modeling and a function for interval censored data. Has functions
 for extracting and manipulating parameter estimates and predicted values
 (ci.lin and its cousins), as well as a number of epidemiological data sets.

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Package: r-cran-eaf
Description-md5: 3466552427e54f54343feb29f8007175
Description-en: Plots of the Empirical Attainment Function
 Computation and visualization of the empirical attainment function
 (EAF) for the analysis of random sets in multi-criterion optimization.
 M. López-Ibáñez, L. Paquete, and T. Stützle (2010)
 <doi:10.1007/978-3-642-02538-9_9>.

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Package: r-cran-dplyr
Description-md5: 1335d9f52fa65ebe7e5ff1ade12ca921
Description-en: A Grammar of Data Manipulation
 A fast, consistent tool for working with data frame like objects, both in
 memory and out of memory.

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Package: r-cran-cutpointr
Description-md5: b18b0cb01223e6b33deb84ac9bde4b47
Description-en: GNU R determine and evaluate optimal cutpoints in binary
 Classification Tasks Estimate cutpoints that optimize a specified
 metric in binary classification tasks and validate performance
 using bootstrapping. Some methods for more robust cutpoint
 estimation are supported, e.g. a parametric method assuming normal
 distributions, bootstrapped cutpoints, and smoothing of the metric
 values per cutpoint using Generalized Additive Models. Various
 plotting functions are included. For an overview of the package
 see Thiele and Hirschfeld (2020) <arXiv:2002.09209>.

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Package: r-cran-conquer
Description-md5: c772aabccbc90420fcb6aba252008345
Description-en: GNU R package for convolution-type smoothed quantile regression
 The package offers fast and accurate convolution-type smoothed
 quantile regression. It is implemented using Barzilai-Borwein gradient
 descent with a Huber regression warm start. It constructs confidence
 intervals for regression coefficients using multiplier bootstrap.

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Package: r-cran-cmstatr
Description-md5: b650e41409987e7ae6d7fb06215fcdb4
Description-en: GNU R Statistical Methods for Composite Material Data
 An implementation of the statistical methods commonly
 used for advanced composite materials in aerospace applications.
 This package focuses on calculating basis values (lower tolerance
 bounds) for material strength properties, as well as performing the
 associated diagnostic tests. This package provides functions for
 calculating basis values assuming several different distributions,
 as well as providing functions for non-parametric methods of computing
 basis values. Functions are also provided for testing the hypothesis
 that there is no difference between strength and modulus data from an
 alternate sample and that from a "qualification" or "baseline" sample.
 For a discussion of these statistical methods and their use, see the
 Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4).
 Additional details about this package are available in the paper by
 Kloppenborg (2020, <doi:10.21105/joss.02265>).

Package: r-cran-coarsedatatools
Description-md5: 17da4371620c8884bdc9cd63bd64dfef
Description-en: GNU R analysis of coarsely observed data
 Functions to analyze coarse data.
 Specifically, it contains functions to (1) fit parametric accelerated
 failure time models to interval-censored survival time data, and (2)
 estimate the case-fatality ratio in scenarios with under-reporting.
 This package's development was motivated by applications to infectious
 disease: in particular, problems with estimating the incubation period and
 the case fatality ratio of a given disease.  Sample data files are included
 in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>,
 Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and
 Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.

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Package: r-cran-caret
Description-md5: 6769399fc3ef66e3de93fe11970ec0ff
Description-en: Classification and Regression Training
 Misc functions for training and plotting classification and regression models.

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585767a
Package: python3-trame-client
Description-md5: fb62fc8c40eae7f0a0fe360ae641c205
Description-en: Python desktop-like applications in a web browser - core client
 Trame is an easy-to-use, Python-based framework that let you create
 desktop like application which shows up in your web browser. You can
 create buttons, dialogs, 3D scenes with VTK/ParaView, charts, maps
 and much more.
 .
 It is great for any micro apps, dashboards, or even replacing a PyQt
 app into a web app. You can also use it in development, for example
 when tweaking/configuring 3D rendering, machine learning and more.
 .
 At the end your app can be used locally, remotely, in the cloud, in
 Jupyter or on HPC.
 .
 This package contains the core client, a generic single page
 application that come with trame. trame-client provides the
 infrastructure on the client-side (browser) to connect to a trame
 server, synchronize its state with the server, make method calls,
 load dynamically components and feed a dynamic template provided by
 the server. This package is not supposed to be used by itself but
 rather should come as a dependency of trame.

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Package: python3-pyeclib
Description-md5: 0050275554db4c67caa71604393b603a
Description-en: interface for implementing erasure codes - Python 3.x
 This library provides a simple Python interface for implementing erasure
 codes. To obtain the best possible performance, the underlying erasure code
 algorithms are written in C.
 .
 This library makes use of Jerasure for Reed-Solomon and provides its own flat
 XOR-based erasure code encoder and decoder. Currently, it implements a
 specific class of HD Combination Codes (see "Flat XOR-based erasure codes in
 storage systems: Constructions, efficient recovery, and tradeoffs" in IEEE
 MSST 2010). These codes are well-suited to archival use-cases, have a simple
 construction and require a minimum number of participating disks during
 single-disk reconstruction (think XOR-based LRC code).

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Package: python-ceilometermiddleware-doc
Description-md5: a76b9e0ca822a30a2a6e8d7d82ae1f9b
Description-en: OpenStack Telemetry middleware for generating metrics - doc
 This library provides middleware modules designed to enable metric and event
 data generation to be consumed by Ceilometer.
 .
 This package contains the documentation.

Package: python3-ceilometermiddleware
Description-md5: 4b6cb82c0b64567f063a1ed538b8c4c2
Description-en: OpenStack Telemetry middleware for generating metrics - Python 3.x
 This library provides middleware modules designed to enable metric and event
 data generation to be consumed by Ceilometer.
 .
 This package contains the Python 3.x module.

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Package: prometheus-openstack-exporter
Description-md5: 543679cc7143b6f416da91021a449fab
Description-en: Prometheus exporter for Openstack
 Exposes high level OpenStack metrics to Prometheus that can be visualised
 using Grafana and the OpenStack Clouds Dashboard.

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Package: bear-factory
Description-md5: 74f8f8f9272db7c3d594f880dcf656d8
Description-en: Editors for Plee the Bear
 This package includes the level editor, animation editor and model editor of
 the Bear Engine for Plee the Bear.

Package: plee-the-bear
Description-md5: 35a6096681b76a4cb1ad31db7fb6a242
Description-en: 2D platform game
 Plee the Bear will be a 2D platform game like those found on consoles in
 the beginning of the 90's. The basis of the scenario fit in few lines:
 .
 4 PM or so, Plee wakes up, tired. He has dreamed again about that awesome
 period when he went across the entire world together with his belle. He puts
 his leg in the honey pot... empty! Moreover every single honey pot in the
 house is empty. "One more trick of that kid", he thinks. "I'm going to give
 him such a wallop of which he sure will remember".
 .
 Following honey drops on the ground, Plee reaches the edge of the forest.
 Beginning of the game.
 .
 The current version is a demo.

Package: plee-the-bear-data
Description-md5: e8e4e7996a4db54a3f19447eafa12994
Description-en: data for Plee the Bear
 Plee the Bear will be a 2D platform game like those found on consoles in
 the beginning of the 90's. The basis of the scenario fit in few lines:
 .
 4 PM or so, Plee wakes up, tired. He has dreamed again about that awesome
 period when he went across the entire world together with his belle. He puts
 his leg in the honey pot... empty! Moreover every single honey pot in the
 house is empty. "One more trick of that kid", he thinks. "I'm going to give
 him such a wallop of which he sure will remember".
 .
 This package includes the data files for the game.

.
530406a
  - dh_qmldeps (and qmldeps dh addon) for generating qml:Depends substvars with
    a list of qml dependencies.
.
530387c
Description-md5: 8b2b75b2f54b3251391b2e462b197ddf
.
481404a
Package: node-rollup-plugin-dts
Description-md5: eed76e87bc3006034b8eee883adcbb38
Description-en: bundle TypeScript declaration files with Rollup
 This Rollup plugin is for combining TypeScript declaration files into a single
 output file.
 .
 It is intended for projects that already generate .d.ts files with the
 TypeScript compiler and want to publish a bundled declaration file alongside
 their JavaScript package.
 .
 The plugin resolves imports using the TypeScript compiler, excludes external
 dependencies from node_modules by default, and provides options for source
 maps, custom tsconfig files, compiler options, and selected external packages.

.
479450a
Package: node-postcss-comment
Description-md5: 9d43798f8ff305193121b255c83bcebf
Description-en: PostCSS parser with support for inline comments
 This package is a parser for PostCSS that allows CSS-like input to use
 JavaScript-style inline comments. It converts // comments into standard CSS
 block comments before the input is processed by PostCSS.
 .
 It can be used explicitly as a PostCSS parser, or loaded through its
 require hook so that PostCSS processes files containing inline comments
 without changing each call site.

.
477318a
 This package embded small modules:
  - marked-gfm-heading-id: Add ids to headings like GitHub.
  - github-slugger: Generate a slug just like GitHub does
    for markdown headings.
  - marked-mangle: Mangle mailto links with HTML character
    references.
.
477312c
Description-md5: 5d3f98d37293c042d3d36d34763ab94c
.
477286a
Package: node-markdown-it-texmath
Description-md5: d1ae06f6b5d412c118d903684369a106
Description-en: markdown-it plugin for rendering TeX Math expressions
 This plugin adds support for rendering TeX and LaTeX math expressions
 in markdown-it, using KaTeX for rendering.

.
474700a
Package: node-ical.js
Description-md5: 0b1d97771fe982b5f7a066d3b441ef68
Description-en: JavaScript parser for iCalendar and vCard data
 ical.js is a JavaScript library for parsing and working with calendar and
 contact data formats. It supports iCalendar, jCal, vCard, and jCard data as
 defined by RFC 5545, RFC 7265, RFC 6350, and RFC 7095.
 .
 The library can be used to read, validate, and manipulate calendar and contact
 data in Node.js applications and web browsers. It includes support for common
 calendar features such as components, properties, recurrence rules, dates,
 durations, and time values.

.
471743a
Package: libjs-egjs-hammerjs
Description-md5: 6a60ce7af44ae5759e8c98b06b4c4372
Description-en: JavaScript library for recognising touch gestures - browser files
 Hammer.js recognises gestures such as taps, presses, swipes and other
 multi-touch interactions from touch, mouse and pointer events.
 .
 This package provides the browser UMD bundles for the egjs fork of Hammer.js.

Package: node-egjs-hammerjs
Description-md5: 1c60d285b6011a29365a2df7b048b22d
Description-en: JavaScript library for recognising touch gestures
 Hammer.js recognises gestures such as taps, presses, swipes and other
 multi-touch interactions from touch, mouse and pointer events.
 .
 This package provides the egjs fork of Hammer.js, which adds fixes for
 Node.js compatibility, ES module support, UMD loading, tree shaking and
 shadow DOM use.

.
471185a
Package: node-deep-clone-simple
Description-md5: 2046931d1f995ea79a8a4169d4d0b23f
Description-en: Deep clone utility for simple JavaScript data
 Deep Clone Simple is a small JavaScript function for copying simple
 data structures. It supports plain objects, arrays, numbers, booleans,
 strings, Date objects, functions, and null values.
 .
 The package is intended for code that only needs cloning of basic
 JavaScript values and does not require support for complex object
 types, circular references, or older bundlers.

.
469254a
Package: node-class-variance-authority
Description-md5: e55e9c55d14164464688fc060fc0ccf3
Description-en: Class Variance Authority 🧬 (v0.7.x version)
 This package contains v0.7.x stable version of class-variance-authority.
 .
 Due to historical naming constraints on the NPM registry, the v0.7.x release
 line of the Class Variance Authority project is distributed under this long
 package namespace.
 .
 For documentation, visit https://cva.style/docs .

.
456768c
Package: mutter-18-tests
.
456742c
Package: libmutter-test-18
.
456728c
Package: libmutter-18-dev
.
456713c
Package: libmutter-18-0
.
456698c
Package: gir1.2-mutter-18
.
422393a
Package: liblog4cplus9
Description-md5: 274097ef706d322fdd8c378aeaf27282
Description-en: C++ logging API modeled after the Java log4j API - shared library
 log4cplus is a simple to use C++ logging API providing thread-safe,
 flexible, and arbitrarily granular control over log management and
 configuration.  It is modeled after the Java log4j API.

.
422369,422375d
391368a
 .
 This project is no longer being actively maintained, and there are not likely
 to be further releases. The hand-coded XS wrappers are replaced with wrappers
 generated using SWIG, which are available in xapian-bindings 1.4.16 and
 later.
.
391357c
Description-md5: 63672ea546576115eb7cfe2901b7dabc
.
373200a
Package: libnsl3
Description-md5: 4ccbbc80af075249a21e9e55bee8ad2a
Description-en: Public client interface for NIS(YP)
 This package contains the libnsl library, which contains the public client
 interface for NIS(YP). This code was formerly part of glibc, but is now
 standalone to be able to link against TI-RPC for IPv6 support.

.
311772a
Package: labwc-tweaks
Description-md5: cd1285caccc1f18997b0e63f32724f25
Description-en: Configuration tool for Labwc
 labwc-tweaks is a GUI settings application for Labwc.
 .
 It provides menus in Qt to configure the labwc wayland compositor.

.
295807c
 Compiled with ssl, MariaDB/MySQL and native malloc.
.
295800c
Description-md5: daafb72a2b6e3564e21e1a1c58fdb1c7
.
294367a
Package: jwm
Description-md5: f62d272b894d06cae5f995079c0e89c8
Description-en: very small lightweight pure X11 window manager with tray and menus
 Low resource Window manager ideal for older PCs. It uses a minimum of
 external libraries, thus very little memory, includes virtual screens,
 menubar and root-menu popup.
 .
 JWM is a window manager for the X11 Window System. JWM is written in
 C and uses only Xlib and (optionally) the shape extension and libXpm.
 It can support some MWM, GNOME, and WM Spec hints. The menu configuration
 files are managed in XML format.
 .
 This JWM package is built with support for the full suite of supported
 image formats, including JPEG, PNG, SVG and XPM; as well as Xinerama
 and Xrender extensions, and FreeType-based font rendering.
 .
 Compared to other light WM, like FVWM or Openbox, the Jwm consumes
 considerably less memory while providing the same functionality.

.
201785a
Package: golang-github-lucasjones-reggen-dev
Description-md5: a9f57d1f7fe03405509c43e0fe80c79d
Description-en: Go package to generate text from regex definitions
 This library generates random strings that match a given regular
 expression pattern. It is useful for testing, fuzzing, and generating
 sample data.
 .
 This package is a dependency of github.com/pb33f/libopenapi-validator,
 which is in turn needed by the Prometheus monitoring system for its
 OpenAPI endpoint support.

.
201309a
Package: golang-github-launchdarkly-go-test-helpers-dev
Description-md5: fe1c5fbb0229f471958ecc60bbc09b80
Description-en: Test support code that is used by LaunchDarkly's Go SDK. (library)
 Test support code that is used by LaunchDarkly's Go SDK
 and related components, and that may be useful in other
 Go projects.

.
191906a
Package: golang-github-couchbase-gocb-dev
Description-md5: 126fb92f445968964e4e8d177e6ef57f
Description-en: Couchbase Go SDK (library)
 The Go SDK library allows you to connect to a Couchbase cluster from Go.
 It is written in pure Go, and uses the included gocbcore library to
 handle communicating to the cluster over the Couchbase binary protocol.

.
186432a
Package: golang-github-99designs-keyring-dev
Description-md5: 02306838507a4044d3abf74585bbc8ff
Description-en: Uniform interface across a range of secure credential stores (library)
 Keyring provides a common interface to a range of secure credential
 storage services. Originally developed as part of AWS Vault
 (https://github.com/99designs/aws-vault), a command line tool for
 securely managing AWS access from developer workstations.

.
172709a
Package: python-gio-pyio-doc
Description-md5: 75b50a1cd5b4749ae9f0e81b1cb95b3d
Description-en: Python-like IO for Gio - documentation
 This library provides Python-like IO for Gio. It is intended to bridge
 the gap between Gtk apps using GFile for file handling and python libraries
 that expect files in the form of file objects
 (https://docs.python.org/3/glossary.html#term-file-object).
 .
 This is the common documentation package.

Package: python3-gio-pyio
Description-md5: d87749e38352668cc710516be45cd42c
Description-en: Python-like IO for Gio
 This library provides Python-like IO for Gio. It is intended to bridge
 the gap between Gtk apps using GFile for file handling and python libraries
 that expect files in the form of file objects
 (https://docs.python.org/3/glossary.html#term-file-object).
 .
 This package installs the library for Python 3.

.
131245a
Package: r-cran-fregression
Description-md5: d373b77352a75f9a53e5e5f4b1fb98b9
Description-en: GNU R package for financial engineering -- fRegression
 This package provides functions for regression-based decision and prediction
 and is part of Rmetrics, a collection of packages for financial engineering
 and computational finance written and compiled by Diethelm Wuertz and others.
 .
 fRegression provides functions for regression-based decision and prediction.

.
127255a
Package: r-cran-fportfolio
Description-md5: 9a391890c73ccd199f9a1e5640365c1a
Description-en: GNU R package for financial engineering -- fPortfolio
 This package of functions for financial engineering and computational
 finance is part of Rmetrics, a collection of packages written and
 compiled by Diethelm Wuertz.
 .
 fPortfolio provides functions for portfolio and asset price modeling, drawdown
 statistics, value-at-risk and Markowitz portfolio construction.

.
115921a
Package: r-cran-fmultivar
Description-md5: a6a19e550ea20d3ac147b9451ba66f2e
Description-en: GNU R package for financial engineering -- fMultivar
 This package of functions for financial engineering and computational
 finance is part of Rmetrics, a collection of packages written and
 compiled by Diethelm Wuertz.
 .
 fMultivar provides multivariate analysis for financial time
 series.

.
107474a
Package: r-cran-fcopulae
Description-md5: 5a99df372bd6bd1e4cff64c0db0fd7a8
Description-en: GNU R package for financial engineering -- fCopulae
 This package of functions for financial engineering and computational
 finance is part of Rmetrics, a collection of packages written and
 compiled by Diethelm Wuertz.
 .
 fCopulae provides functions for (nonlinear) dependence structure modelling.

.
103097a
Package: r-cran-fassets
Description-md5: 186bcc8532bec987d6b79e264915fd6f
Description-en: GNU R package for financial engineering -- fAssets
 This package provides functions for modelling and selection of
 financial assets is part of Rmetrics, a collection of packages for
 financial engineering and computational finance written and compiled
 by Diethelm Wuertz and others.
 .
 fAssets provides asset selection and modelling functions.

.
87242a
Package: dua-cli
Description-md5: 290971d64f533e29a8410bf085ed476a
Description-en: View and manage disk space usage interactively, fast
 dua-cli (Disk Usage Analyzer) is a fast, interactive command-line
 tool for exploring and managing disk space usage. Built in Rust, it
 leverages parallel directory traversal to deliver results
 significantly faster than traditional tools.
 .
 Key features:
  - Non-interactive mode similar to du(1) for scripting and pipelines
  - Full-screen TUI for navigating the filesystem tree and inspecting
   directory sizes
  - Safe deletion through a multi-stage confirmation workflow
  - Prints marked paths to stdout on exit for shell pipeline integration
  - Works over SSH and on headless servers, unlike graphical tools
  - Reports size on disk by default, with apparent size as an option
  - Hard links counted once, matching the behaviour of du(1)
 .
 Compared to alternatives available in Debian, dua-cli combines the
 speed of multi-threaded scanning with an interactive terminal
 interface, making it suitable for both quick inspections and
 systematic disk space management.

Package: librust-dua-cli-dev
Description-md5: d43bcd03e1ca896c3cc8bd8140107bcd
Description-en: Rust library for disk space usage analysis and management
 This package contains the source for the Rust dua-cli crate, providing
 the core library components for disk space usage analysis. It exposes
 the building blocks used by the dua-cli binary, including parallel
 directory traversal, filesystem tree representation, byte format
 utilities, and interactive TUI support.
 .
 Key features:
  - Parallel directory traversal via jwalk for fast filesystem scanning
  - Filesystem tree data structures for aggregating and querying usage
  - Byte formatting utilities supporting binary and metric units
  - Optional TUI components built on ratatui and crossterm
  - Cross-device traversal handling and inode deduplication
  - Configurable walk options for apparent size and hard link counting
 .
 This package is part of the dua-cli suite and is primarily intended
 for Rust developers who wish to build tools that analyse or manage
 disk space usage.

.
32867a
 .
 This is the nginx based rest server.
.
32847c
   - an nginx-based reverse proxy
   - systemd-based on-demand `borgstore.server` process creation
.
32845c
 - server-side permissions/quota enforcement
 - server-side hashsum check of transferred objects before storing
 - network traffic optimization by doing stuff server-side:
 .
   - stored object hashing
   - stored object defragmentation
 - the REST server can internally use any backend for storage, e.g. `posixfs`
 - for the REST server, we provide CI tested configs for:
.
32842,32843c
 REST server features
 --------------------
.
32840c
 - existing backends for local filesystem, sftp, REST, S3 / B2 (native) and
   many other cloud storage protocols via rclone
 - new backends are simple to implement
 - key validation
 - partial loads / range requests
 - stored object hashing
 - stored object defragmentation
 - quota support (only `posixfs`)
 - permissions checking (only `posixfs`)
.
32838c
 Backend features
 ----------------
.
32836c
 - supports URLs, like `file:///srv/borgstore` or `https://myserver/path`
 - easy to use, high-level `Store` API: create/destroy, open/close, list,
   load/store, delete, move, soft delete/undelete, hash, defrag, ...
 - uses a backend to implement the storage
 - optionally uses an additional caching backend, with a configurable cache
   policy per namespace
 - name nesting / unnesting, recursive directory listing
 - statistics collection
 - latency/bandwidth emulator
.
32834c
 Store features
 --------------
.
32832c
 The `server` package has a REST server implementation, complementing the REST
 client functionality in the `rest` backend. To actually store stuff, the REST server
 can use any backend internally, e.g. the `posixfs` backend.
.
32830c
 The `backends` package has misc. storage backend implementations.
.
32828c
 The `Store` class is the high-level API, so you can comfortably work with the
 kv store without caring for low-level details.
.
32826c
 Keys are simple strings like `config/main` or `data/0123456789abcdef` `[str]`
 (config and data are namespaces here). Values are binary objects `[bytes]`.
.
32824c
 Overview
 --------
.
32821,32822c
 This is the common documentation pacakge.

Package: python3-borgstore-server-rest
Description-md5: 18bb711c8613a207c7771840a265bf28
Description-en: General purpose key/value store in Python
 borgstore implements a general purpose key/value store in Python.
.
32819c
 Please note that this code is currently **not** used by the stable release of
 BorgBackup (also known as "borg"), but only by Borg 2 beta 10+ and the master branch.
.
32816,32817c
 Borg?
 -----
.
32805,32814c
 Many possible backends are still missing. If you want to create and support one, pull requests are welcome.
.
32802,32803c
 There might be missing features or optimization potential. Feedback is welcome!
.
32800a
 There are tests, and they pass for the basic functionality, so some functionality is already working well.
.
32796,32799c
 **As long as the API is unstable, there will be no data migration tools,
 such as tools for upgrading an existing store's data to a new release.**
.
32794c
 **API is still unstable and expected to change as development goes on.**
.
32792c
 State of this project
 ---------------------
.
32789,32790c
   - an nginx-based reverse proxy
   - systemd-based on-demand `borgstore.server` process creation
.
32786,32787c
 - server-side permissions/quota enforcement
 - server-side hashsum check of transferred objects before storing
 - network traffic optimization by doing stuff server-side:
 .
   - stored object hashing
   - stored object defragmentation
 - the REST server can internally use any backend for storage, e.g. `posixfs`
 - for the REST server, we provide CI tested configs for:
.
32783,32784c
 REST server features
 --------------------
.
32780,32781c
 - existing backends for local filesystem, sftp, REST, S3 / B2 (native) and
   many other cloud storage protocols via rclone
 - new backends are simple to implement
 - key validation
 - partial loads / range requests
 - stored object hashing
 - stored object defragmentation
 - quota support (only `posixfs`)
 - permissions checking (only `posixfs`)
.
32775,32778c
 Backend features
 ----------------
.
32773c
 - supports URLs, like `file:///srv/borgstore` or `https://myserver/path`
 - easy to use, high-level `Store` API: create/destroy, open/close, list,
   load/store, delete, move, soft delete/undelete, hash, defrag, ...
 - uses a backend to implement the storage
 - optionally uses an additional caching backend, with a configurable cache
   policy per namespace
 - name nesting / unnesting, recursive directory listing
 - statistics collection
 - latency/bandwidth emulator
.
32771c
 Store features
 --------------
.
32768,32769c
 The `server` package has a REST server implementation, complementing the REST
 client functionality in the `rest` backend. To actually store stuff, the REST server
 can use any backend internally, e.g. the `posixfs` backend.
.
32763,32766c
 The `backends` package has misc. storage backend implementations.
.
32761c
 The `Store` class is the high-level API, so you can comfortably work with the
 kv store without caring for low-level details.
.
32758,32759c
 Keys are simple strings like `config/main` or `data/0123456789abcdef` `[str]`
 (config and data are namespaces here). Values are binary objects `[bytes]`.
.
32754,32756c
 Overview
 --------
.
32751,32752c
 Please note that this code is currently **not** used by the stable release of
 BorgBackup (also known as "borg"), but only by Borg 2 beta 10+ and the master branch.

Package: python3-borgstore-doc
Description-md5: 390b829d4c22e67acc783e76c369603b
Description-en: General purpose key/value store in Python (common documentation)
 borgstore implements a general purpose key/value store in Python.
.
32748,32749c
 Borg?
 -----
.
32745,32746c
 Many possible backends are still missing. If you want to create and support one, pull requests are welcome.
.
32742,32743c
 There might be missing features or optimization potential. Feedback is welcome!
.
32737,32740c
 There are tests, and they pass for the basic functionality, so some functionality is already working well.
.
32735c
 **As long as the API is unstable, there will be no data migration tools,
 such as tools for upgrading an existing store's data to a new release.**
.
32730,32733c
 **API is still unstable and expected to change as development goes on.**
.
32728c
 State of this project
 ---------------------
.
32723,32726c
   - an nginx-based reverse proxy
   - systemd-based on-demand `borgstore.server` process creation
.
32721c
 - server-side permissions/quota enforcement
 - server-side hashsum check of transferred objects before storing
 - network traffic optimization by doing stuff server-side:
 .
   - stored object hashing
   - stored object defragmentation
 - the REST server can internally use any backend for storage, e.g. `posixfs`
 - for the REST server, we provide CI tested configs for:
.
32719c
 REST server features
 --------------------
.
32716,32717c
 - existing backends for local filesystem, sftp, REST, S3 / B2 (native) and
   many other cloud storage protocols via rclone
 - new backends are simple to implement
 - key validation
 - partial loads / range requests
 - stored object hashing
 - stored object defragmentation
 - quota support (only `posixfs`)
 - permissions checking (only `posixfs`)
.
32713,32714c
 Backend features
 ----------------
.
32710,32711c
 - supports URLs, like `file:///srv/borgstore` or `https://myserver/path`
 - easy to use, high-level `Store` API: create/destroy, open/close, list,
   load/store, delete, move, soft delete/undelete, hash, defrag, ...
 - uses a backend to implement the storage
 - optionally uses an additional caching backend, with a configurable cache
   policy per namespace
 - name nesting / unnesting, recursive directory listing
 - statistics collection
 - latency/bandwidth emulator
.
32691,32708c
 Store features
 --------------
.
32685,32689c
 The `server` package has a REST server implementation, complementing the REST
 client functionality in the `rest` backend. To actually store stuff, the REST server
 can use any backend internally, e.g. the `posixfs` backend.
.
32682,32683c
 The `backends` package has misc. storage backend implementations.
.
32679,32680c
 The `Store` class is the high-level API, so you can comfortably work with the
 kv store without caring for low-level details.
.
32528,32677c
 Keys are simple strings like `config/main` or `data/0123456789abcdef` `[str]`
 (config and data are namespaces here). Values are binary objects `[bytes]`.
.
32431,32525c
 Overview
.
32427,32429c
Description-md5: 2c1e853d1fa929117c0f50a1707ddfe0
Description-en: General purpose key/value store in Python
 borgstore implements a general purpose key/value store in Python.
.
29108a
Package: bluefish
Description-md5: 2cf908ef001fcc791aee8e7b4a506e74
Description-en: advanced Gtk+ text editor for web and software development
 Bluefish is a powerful editor targeted towards programmers and web
 developers, with many options to write websites, scripts and programming
 code. Bluefish supports a wide variety of programming and markup languages
 and has many features, e.g.
 .
  - Customizable code folding, auto indenting and completion
  - Support for remote files operation over FTP, SFTP, HTTPS, WebDAV, etc.
  - Site upload and download
  - Powerful search and replace engine
  - Customizable integration of external programs such as lint, make, etc
  - Snippets plugin to automate often used code
  - Code-aware in-line spell checking
  - Zencoding or Emmet support
  - Bookmarks panel
 .
 but is still lightweight and fast.
 .
 For validation of CSS/HTML/XML documents you need csstidy, tidy, weblint
 and/or xmllint. For preview to work, you need a web browser that can view
 local files given to it on the command line. For PHP or Python bluefish
 supports php-codesniffer and pylint. Tools not suggested but supported
 are make, perl, php5-cli and java-compiler.

Package: bluefish-data
Description-md5: 4744152c48109732f057dcf29596e9f9
Description-en: advanced Gtk+ text editor (data)
 Bluefish is a powerful editor targeted towards programmers and web
 developers, with many options to write websites, scripts and programming
 code. Bluefish supports a wide variety of programming and markup languages
 and has many features, e.g.
 .
  - Customizable code folding, auto indenting and completion
  - Support for remote files operation over FTP, SFTP, HTTPS, WebDAV, etc.
  - Site upload and download
  - Powerful search and replace engine
  - Customizable integration of external programs such as lint, make, etc
  - Snippets plugin to automate often used code
  - Code-aware in-line spell checking
  - Zencoding or Emmet support
  - Bookmarks panel
 .
 but is still lightweight and fast.
 .
 This package contains the architecture independent data for the application
 and its plugins.

Package: bluefish-plugins
Description-md5: 9db3336111a7f802e64070e6f20a41f6
Description-en: advanced Gtk+ text editor (plugins)
 Bluefish is a powerful editor targeted towards programmers and web
 developers, with many options to write websites, scripts and programming
 code. Bluefish supports a wide variety of programming and markup languages
 and has many features, e.g.
 .
  - Customizable code folding, auto indenting and completion
  - Support for remote files operation over FTP, SFTP, HTTPS, WebDAV, etc.
  - Site upload and download
  - Powerful search and replace engine
  - Customizable integration of external programs such as lint, make, etc
  - Snippets plugin to automate often used code
  - Code-aware in-line spell checking
  - Zencoding or Emmet support
  - Bookmarks panel
 .
 but is still lightweight and fast.
 .
 This package contains the plugins. You will need it for the HTML dialogs,
 snippets, charmaps etc. So it's basically necessary.

.
20275a
Package: axel
Description-md5: 3bf13d4a8f3cffae63d4bfbb3a04362d
Description-en: light command line download accelerator
 Axel tries to accelerate the downloading process by using multiple
 connections for one file, similar to DownThemAll and other famous
 programs. It can also use multiple mirrors for one download.
 .
 Using Axel, you will get files faster from Internet. So, Axel can
 speed up a download up to 60% (approximately, according to some tests).
 .
 Axel supports HTTP, HTTPS, FTP and FTPS protocols.
 .
 Axel tries to be as light as possible, so it might be useful as a
 wget clone (and other console based programs) on byte-critical systems.

.
17647,17667d
