Saravanan666/pypi-org huggingface dataset:
Package: ikazuchi.plugins.pofile
ikazuchi.plugins.pofileis plugin forikazuchito transalte
PO file with good reference.ikazuchiis intended to work with other tools since it’s a CUI tool.See the projectdocumentationfor more detail.FeaturesTranslate GNU gettext catalog named PO file with good reference from web APISetupby easy_installMake environment:$ easy_install ikazuchi.plugins.pofileby buildoutMake environment:$ hg clone https://bitbucket.org/t2y/ikazuchi.plugins.pofile
$ cd ikazuchi.plugins.pofile
$ python bootstrap.py -d
$ bin/buildoutUsageTranslate PO file with ikazuchi command:$ ikazuchi pofile examples/short_test.po
msgid:                   ikazuchi translation
reference(Google):       [Actually, translated sentence]
Input:Show which plugins are available:$ ikazuchi -h
usage: ikazuchi [-h] {rstfile,pofile,normal} ...

positional arguments:
  {rstfile,pofile,normal}
                        available plugins. 'normal' means ikazuchi's standard
                        feature so it can be abbreviated

optional arguments:
  -h, --help            show this help message and exitShow pofile plugin help:$ ikazuchi pofile -h
usage: ikazuchi pofile [-h] [-a API] [-e ENCODING] [-f LANG] [-q] [-t LANG]
                       [--version]
                       po_file

positional arguments:
  po_file               target po file

optional arguments:
  -h, --help            show this help message and exit
  -a API, --api API     APIs are ['google', 'microsoft']
  -e ENCODING, --encoding ENCODING
                        input/output encoding
  -f LANG, --from LANG  original language
  -q, --quiet           not to show original sentence to stdout
  -t LANG, --to LANG    target language to translate
  --version             show program's version number and exitRequirementsPython 2.6 or laterikazuchi 0.5.1 or laterpolib 0.5.5 or latersetuptools or distriubteLicenseApache License 2.0History0.1.2 (2011-11-26)use Microsoft Translator as Default API0.1.1 (2011-06-06)add subparser for pofile plug-in0.1.0 (2011-06-03)first releaseTodosFunctionalsGlossary and fuzzy match functionsMerge other po file into po fileStop translating process
Package: ikazuchi.plugins.speech
ikazuchi.plugins.speechis plugin forikazuchito provide
Text to Speech feature.ikazuchiis intended to work with other tools since it’s a CUI tool.See the projectdocumentationfor more detail.FeaturesProvide Text to Speech feature for given text or translated textSetupby easy_installMake environment:$ easy_install ikazuchi.plugins.speechby buildoutMake environment:$ hg clone https://bitbucket.org/t2y/ikazuchi.plugins.speech
$ cd ikazuchi.plugins.speech
$ python bootstrap.py -d
$ bin/buildoutUsageSpeak given text with ikazuchi command:$ ikazuchi speech -s "hello world"
use command: /usr/bin/afplay
sentence:                hello world
translate_tts(Google):Speak translated text with ikazuchi command:$ ikazuchi speech -s "hello world" -p
use command: /usr/bin/afplay
sentence:                hello world
translate(Google):       [translated text]
translate_tts(Google):Show which plugins are available:$ ikazuchi -h
usage: ikazuchi [-h] {rstfile,speech,normal} ...

positional arguments:
  {rstfile,speech,normal}
                        available plugins. 'normal' means ikazuchi's standard
                        feature so it can be abbreviated

optional arguments:
  -h, --help            show this help message and exitShow speech plugin help:$ ikazuchi speech -h
usage: ikazuchi speech [-h] [-a API] [-e ENCODING] [-f LANG] [-q] [-t LANG]
                       [-c COMMAND] [-p] [-r READING TARGET FILE]
                       [-s SENTENCE [SENTENCE ...]] [--version]

optional arguments:
  -h, --help            show this help message and exit
  -a API, --api API     APIs are ['google', 'microsoft']
  -e ENCODING, --encoding ENCODING
                        input/output encoding
  -f LANG, --from LANG  original language
  -q, --quiet           not to show original sentence to stdout
  -t LANG, --to LANG    target language to translate
  -c COMMAND, --command COMMAND
                        use any command to speak(play audio file)
  -p, --post            speak post-translated target sentences
  -r READING TARGET FILE, --read READING TARGET FILE
                        read aloud target file
  -s SENTENCE [SENTENCE ...], --sentences SENTENCE [SENTENCE ...]
                        target sentences
  --version             show program's version number and exitRequirementsPython 2.6 or laterikazuchi 0.5.2 or laterpyglet 1.1.4 or latersetuptools or distriubteLicenseApache License 2.0History0.1.2 (2011-06-15)fix a critical bug related to encoding with “-s” option0.1.1 (2011-06-11)fix a minor bug related to the default API name0.1.0 (2011-06-06)first releaseTodosNeed test on various platform
Package: ik-cli
Ik-cliIntroductionThis application provides some common command line tools for me.InstallYou can use pip to install this tool.pipinstallik-cliUsageYou can use main command to show all subcommands.ik_cli-h# the echo are:Usage:ik_cli[OPTIONS]COMMAND[ARGS]...

Options:-v,--verboseEnableverbosemode.-h,--helpShowthismessageandexit.

Commands:ipgetipinfotimetimestampconvertip infoNow you can useipsubcommand to get point ip info fromip.sb.ik_cliip8.8.8.8# the echo is:IP:8.8.8.8
ASN:15169CONTINENT_CODE:NA
COUNTRY:UnitedStates
COUNTRY_CODE:US
LATITUDE:37.751
LONGITUDE:-97.822
ORGANIZATION:GoogleLLC
TIMEZONE:America/ChicagoIf you want get your host ip, you can do as follows:ik_cliip-mhost# echoYourIP:192.168.0.2
Method:UDPtime convertNow you can change string time (like:2019-8-1or2019-8-2 12.09.11) to timestamp.
Or change timestamp (like1565007913) to string time.Notice: the timezone depend on your machine's timezone.ik_clitime'2019-08-05 13:14:11'# echoTimestamp:1564982051Time:2019-08-0513:14:11

ik_clitime1564982100# echoTimestamp:1564982100Time:2019-08-0513:15:00
Package: ike
The goal of this project is to be a minimalistic IKEv2 (RFC 5996)
implementation in Python.StatusThis project is in early stages. Use at own risk.It will make your IP stack talk ESP to the remote peer.What it can do:Act as an initiatorAuthenticate itself and peer using raw RSA keys.Install ESP SAs and SPD entries to use the key material viasetkeycommand from ipsec-tools.Limitations (hardcoded values):Cipher algorithm is Camellia in CBC mode with 256 bit keys.HMAC / Hash / PRF algorithm is SHA2/256.IKE group is Diffie-Hellman modp 14.Authentication (both own private and peer public) key file paths are
hardcoded.‘setkey’ syntax is of whatever the ipsec-tools on Debian 7.1 accept.Traffic selectors are myip:any:0-65535 <-> peerip:any:0-65535Design principlesMinimal amount of code.SupportMUSTfeatures of draft-kivinen-ipsecme-ikev2-rfc5996bis-02
(RFC 5996 successor)Use strongest algorithms possible.DocumentationYou can read the Documentation athttps://pythonhosted.org/ikeWhat this project isNOTgoing to beISAKMP (IKEv1) RFC 2409 compliantIPSec data plane / ESP protocolLicenseMIT LicenseReferenceshttp://tools.ietf.org/html/draft-kivinen-ipsecme-ikev2-rfc5996bis-02http://tools.ietf.org/html/draft-kivinen-ipsecme-ikev2-minimal-01
Package: ikeys-cli
ikeystone python clientInstallationPYPIpipinstallikeys-cliGITpipinstallhttps://github.com/MrLYC/ikeys-cli/archive/master.zipQuick startfromikeys_cliimportIKeytoneAPIapi=IKeytoneAPI(url="https://ikeystone.example.com/v1/")api.authenticate(domain="server_domain",user="server_user",password="server_password",project="server_project",)result=api.domain.request.verify({"domian":"client_domain","user":"client_user","project":"client_project","expires":"client_expires","nonce":"client_nonce","signature":"client_signature",})assert(result.errno==0,result.errmsg)printresult.data
Package: ikfast-pybind
ikfast_pybindis a python binding generation library for the analytic kinematics engineIKfast.
The python bindings are generated viapybind11aCMake-based build system.Note:You need the ikfast.hand.cppready to generate the python bindings. ThisURDF-to-cppgeneration part needs to be done withopenraveandIS NOTdone by this repo,
please seethis tutorialfor details.The assembly sequence and motion planning frameworkpychoreorelies on this library to generate compatible IK modules for robots across brands, scales, and dofs.Prerequisitesikfast_pybinddepends on the following dependencies, which come from pybind11 for building the python bindings.On Unix (Linux, OS X)A compiler with C++11 supportCMake >= 2.8.12On WindowsVisual Studio 2015 (required for all Python versions, see notes below)CMake >= 3.1It is recommended (especially for Windows users) to test the environment with thecmake_example for pybind11before proceeding to build conmech.Installationgit clone --recursive https://github.com/yijiangh/ikfast_pybind
cd ikfast_pybind
pip install .
# try with '--user' if you encountered a sudo problemFor developers:git clone --recursive https://github.com/yijiangh/ikfast_pybind
cd ikfast_pybind
python setup.py sdist
pip install --verbose dist/*.tar.gzWith thesetup.pyfile included in the base folder, the pip install command will invoke CMake and build the pybind11 module as specified in CMakeLists.txt.ReferencesCitationIf you findIKFastuseful,
please citeOpenRave:@phdthesis{diankov_thesis,
  author = "Rosen Diankov",
  title = "Automated Construction of Robotic Manipulation Programs",
  school = "Carnegie Mellon University, Robotics Institute",
  month = "August",
  year = "2010",
  number= "CMU-RI-TR-10-29",
  url={http://www.programmingvision.com/rosen_diankov_thesis.pdf},
}Related linkstutorial on ikfast cpp generation: See this tutorial for a detailed instruction on how to generate the ikfast cpp code from an URDF.Testing ikfast modules with a pick-n-place demo in pybulletpybind11ChangelogAll notable changes to this project will be documented in this file.The format is based onKeep a Changelogand this project adheres toSemantic Versioning.0.1.2Fixed- Fix pypi wheel build issueChanged- Skip UR robot tests for now0.1.1Added- Added support forkawasaki_rs010nrobotChanged- Reorganize test files to having a test file for each robot type.Updated-pybind11set to track master, commite08a58111, which should fix pip installation issue.0.1.0Available robots- kuka_kr6_r900 (tested)
- ur3
- ur5
- abb_irb4600_40_255
- franka_panda (tested)
- eth_rfl (tested)AddedModules forfranka_panda,eth_rflrobots.Add ifkast modules forur5,kuka_kr6_r900,abb_irb4600.abb_irb4600test fails some time randomly - need to regenerate its IKfast cpp files (might be the floating point truncation issue).Include the upstreamedur_kinematics commit 6734142 July 2 2019but it seems that the old one works more stably… I will do more tests on this.
Package: ikfast-pybind-tmp
ikfast_pybindis a python binding generation library for the analytic kinematics engineIKfast.
The python bindings are generated viapybind11aCMake-based build system.Note:You need the ikfast.hand.cppready to generate the python bindings. ThisURDF-to-cppgeneration part needs to be done withopenraveandIS NOTdone by this repo,
please seethis tutorialfor details.The assembly sequence and motion planning frameworkpychoreorelies on this library to generate compatible IK modules for robots across brands, scales, and dofs.Prerequisitesikfast_pybinddepends on the following dependencies, which come from pybind11 for building the python bindings.On Unix (Linux, OS X)A compiler with C++11 supportCMake >= 2.8.12On WindowsVisual Studio 2015 (required for all Python versions, see notes below)CMake >= 3.1It is recommended (especially for Windows users) to test the environment with thecmake_example for pybind11before proceeding to build conmech.Installationgit clone --recursive https://github.com/yijiangh/ikfast_pybind
cd ikfast_pybind
pip install .
# try with '--user' if you encountered a sudo problemFor developers:git clone --recursive https://github.com/yijiangh/ikfast_pybind
cd ikfast_pybind
python setup.py sdist
pip install --verbose dist/*.tar.gzWith thesetup.pyfile included in the base folder, the pip install command will invoke CMake and build the pybind11 module as specified in CMakeLists.txt.ReferencesCitationIf you findIKFastuseful,
please citeOpenRave:@phdthesis{diankov_thesis,
  author = "Rosen Diankov",
  title = "Automated Construction of Robotic Manipulation Programs",
  school = "Carnegie Mellon University, Robotics Institute",
  month = "August",
  year = "2010",
  number= "CMU-RI-TR-10-29",
  url={http://www.programmingvision.com/rosen_diankov_thesis.pdf},
}Related linkstutorial on ikfast cpp generation: See this tutorial for a detailed instruction on how to generate the ikfast cpp code from an URDF.Testing ikfast modules with a pick-n-place demo in pybulletpybind11ChangelogAll notable changes to this project will be documented in this file.The format is based onKeep a Changelogand this project adheres toSemantic Versioning.0.1.1Added- Added support forkawasaki_rs010nrobotChanged- Reorganize test files to having a test file for each robot type.Updated-pybind11set to track master, commite08a58111, which should fix pip installation issue.0.1.0Available robots- kuka_kr6_r900 (tested)
- ur3
- ur5
- abb_irb4600_40_255
- franka_panda (tested)
- eth_rfl (tested)AddedModules forfranka_panda,eth_rflrobots.Add ifkast modules forur5,kuka_kr6_r900,abb_irb4600.abb_irb4600test fails some time randomly - need to regenerate its IKfast cpp files (might be the floating point truncation issue).Include the upstreamedur_kinematics commit 6734142 July 2 2019but it seems that the old one works more stably… I will do more tests on this.
Package: ikfs-anomaly-detector
Программная система обнаружения аномалий в телеметрии бортового фурье-спектрометра ИКФС-2Включает в себя:Модуль экспертного анализаМодуль интеллектуального анализа:LSTM-предикторLSTM-автокодировщикСценарий работы:1 . Сформировать конфигурационный файл$ikfs-anomaly-detectordump-config
$mvdefault_config.yml/tmp/myconfig.yml2 . Указать в нём соответствующие одиночные сигналы и группы сигналов,
предполагаемые для анализа# Директория для хранения обученных моделей
models_dir: '/tmp/ikfs_anomaly_detector/models'

# Директория с логами tensorboard [опционально]
tensorboard_dir: ''  

# Директория с результатами
analysis_result_dir: /tmp/ikfs_anomaly_detection/results  

# Одиночные сигналы для LSTM-предиктора
predictor_for:
- PptRiple
...

# Группы сигналов для LSTM-автокодировщика
autoencoder_for:
  bfk:
  - BfkCntErrCrc
  - BfkCntErrRxBufAlloc
  - BfkCntErrRxPacket
  ...

  mygroup:
  - StrSensorMi1
  - BpopCntErrCrc

thresholds:
  # Границы аномалий по умолчанию
  default:
    rules: 0.55  # Граница аномалий для экспертного анализатора

    # Границы аномалий для групп и одиночных сигналов
    bfk: 0.2
    bpop: 0.4
    bud: 6.0
    bud_board: 15.0
    fp: 0.7
    mi: 0.4
    mk: 0.09
    ppt: 0.27
    ppt_direction: 0.1
    str: 0.05
    PptRiple: 100
    PptSampleCount: 100
    ScannerAngle: 610
    Str27V: 210
    StrSensorTu1: 100
    StrSensorTu2: 100

  # Границы аномалий для конкретного файла
  METM2_9181_9174_1VIE2-IMR_8_IKFS-2_01P8:
    mi: 0.9
    mk: 0.19
    fp: 1.
    ppt_direction: 0.0153 . Произвести обучение системы$ikfs-anomaly-detectortrain--telemetry-dir/Downloads/good_data-c/tmp/myconfig.yml4 . Выполнить поверхностный анализ телеметрии$ikfs-anomaly-detectoranalyze--telemetry-file/Downloads/bad_data/METM2_9181_9174_1VIE2-IMR_8_IKFS-2_01P8.tlm.h5-c/tmp/myconfig.yml5 . Посмотреть результаты (фукнции ошибок по каждому из сигналов) и при необходимости подправить границы6 . Выполнить полный анализ телеметрии$ikfs-anomaly-detectoranalyze--full-report--telemetry-file/Downloads/bad_data/METM2_9181_9174_1VIE2-IMR_8_IKFS-2_01P8.tlm.h5-c/tmp/myconfig.yml
Package: iki
ikiimport thisversi Basa JawaCarane MasangpipinstallikiCarane NganggoimportikiNjedhuleTheZenofPython,deningTimPeters

Ayuluwihbeciktinimbangelek.
Eksplisitluwihbeciktinimbangimplisit.
Prasajaluwihbeciktinimbangkompleks.
Komplekluwihbeciktinimbangrumit.
Rataluwihbeciktinimbangnarang.
Arang-arangluwihbeciktinimbangpadet.
Kewacakuwipenting.
Kasuskhususoracukupkhususkanggonglanggaraturankasebut.
Sanajankepraktisanngalahakekemurnian.
Salahojongantidimenengkewae.
Kajabapancendikonmeneng.
Menawabingung,tolakgodaannggongira-ira.
Kuduneonosiji--lanyenisagursiji--caracethosingbisadilakoni.
SanajancarakasebutisaoracethonalikawiwitankajabasampeyanWalanda.
Saikiluwihapiktinimbangoranate.
Sanajanoranateluwihapiktinimbangsaiki*banget*.
Yenimplementasineangeldijelasake,kuwiidesingala.
Yenimplementasinegampangditerangake,kuwiisadadiidesingapik.
Namespacesminangkasalahsawijiningidesingapikbanget-ayopadhanindakake!

DijarwakakedeningIsmailSunni.Pengin Bantu Ben Luwih ApikMangga mawon, kula malah seneng. Isa bukaPull Requestutawa ngandhani yen ono sing kleru.Pitakonan Sing Kerep DitakonkePitakon:Kok gaweiki?Wangsulan:Yo gur nggo seneng-seneng wae, sapa ngerti isa migunani
Package: ikkez-vector
The Vector SDK gives you direct access to Vector’s unprecedented set of advanced sensors, AI capabilities, and robotics technologies including computer vision, intelligent mapping and navigation, and a groundbreaking collection of expressive animations.It’s powerful but easy to use, complex but not complicated, and versatile enough to be used across a wide range of domains including enterprise, research, and entertainment. Find out more athttps://developer.anki.comVector SDK documentation:https://developer.anki.com/vector/docs/Official developer forum:https://forums.anki.com/Requirements:Python 3.6.1 or later
Package: ikku
ikkuDiscover haiku from text.
Thanks tohttps://github.com/r7kamura/ikkuRequirementsPython 3.8.x+MeCab with IPADIC (e.g.brew install mecab mecab-ipadic)InstallationpipinstallikkuExampleReviewer is the main interface for this library.fromikkuimportReviwerreviewer=Reviewer()Judge if given text is valid song or not.reviewer.judge("古池や蛙飛び込む水の音")#=> truereviewer.judge("ああ古池や蛙飛び込む水の音ああ")#=> falseFind one valid song from given text.reviewer.find("ああ古池や蛙飛び込む水の音ああ")#=> <class 'ikku.song.Song'>Search all valid songs from given text.reviewer.search("ああ古池や蛙飛び込む水の音ああ天秤や京江戸かけて千代の春ああ")#=> [#     [<class 'ikku.song.Song'>],#     [<class 'ikku.song.Song'>],#   ]Return an Array of phrases of ikku.node.Node.song.phrases#=> [["古池", "や"], ["蛙", "飛び込む"], ["水", "の", "音"]]Passruleoption to change the measure rule (default:[5, 7, 5]).reviewer=Reviewer(rule=[4,3,5])reviewer.judge("古池や蛙飛び込む水の音")#=> falsereviewer.judge("すもももももももものうち")#=> true
Package: ikkuna
IkkunaA tool for monitoring neural network training.Ikkuna provides a framework for adding live training metrics to your PyTorch
model with minimal configuration. It is a PubSub framework which allows
practitioners to quickly test metrics implemented against a simple API. The
following data is providedActivationsGradients w.r.t weights and biasesGradients w.r.t layer outputsWeightsBiasesWeight updatesBias updatesMetadata such as current step in the training, current labels and current
perdictionsSubscribers consume this data and distill it into metrics. Different backends can be
usedMatplotlibTensorboardWorking with this repositoryYou should create acondaenvorinment from the providedtorch.yamlfile andpip install -rthe providedrequirements.txtfile. You will also have to
installnumbafor building the documentation until I have the time to figure
out how to optionally turn off parts of a doc build.You should also runpython setup.py developwhich will install the package
with symlinks to this repository. Since all subscribers aresetuptoolsplugins, they are
not available unlesssetup.pyis run.DocumentationThe sphinx-generated html documentation is hostedhere.
Package: i-know-python
I know PythonA quick test to see if you have as much Python experience as you think you do.InstallationJust run:$ pip install i_know_pythonUsageThis package installs a command line utility. After you install with pip, run:$ i_know_pythonYou should get a prompt that looks like:Welcome to 'I know Python'!
Answer these questions to the best of your ability.

Have you used:
	 string — Common string operations
[y/n]?Respond by enteringyorn.There's no "I don't know" option, so take your best guess.
There are 240 modules in this test, so it will take a few minutes.MotivationSometime I meet people who say, "Oh, yeah. IknowPython."
And, if I'm honest, sometimes that person is me.
But, it's important to remember that knowing a language includes knowing its ecosystem and tooling.
One of the best things about Python is its huge user base, after all.
This quick test doesn't even get arround to testing your knowledge of third-party libraries.
It's just a quick quiz to put you in your place about your experience relative to Pythons:
"Batteries included." philosophy.Personal resultsAs of creating this README, it looks like I've used 79 modules.
So, I've touched less than half of Python's standard library.There's a lot left to learn!
Package: iko
ikoIko is an asynchronous micro-framework for
converting data into different structures.Inspiredmarshmallow.Typical usageThe main use-case of this framework is web serviceвЂ™s request and response data marshaling.Example:@swagger.schema('UserRequest','UserResponse')asyncdefhandler(request):body=awaitrequest.json()data=awaitUserSchema.load(body)awaitmongodb.users.insert_one(data)data=awaitmongodb.users.find_one({'_id':data['id']})returnResponse(awaitUserSchema.dump(data))
Package: ikomia-cli
Ikomia command line interfaceInstallation$> python3 -m venv .venv
$> source .venv/bin/activate
$> pip install ikomia-cliManage Ikomia algorithmsList local algorithms$> $ ikcli algo local lsCreate a new empty algorithm$> $ ikcli algo local create your_new_algoList algorithms from Ikomia HUB$> $ ikcli hub lsShow Ikomia HUB algorithm details$> $ ikcli hub show algo_name
Package: ikp3db
IKP3db is a Python 3 debugger. ForPython 2see the IKPdb project on github and pypi.https://github.com/audaxis/ikpdbFeaturesDebugging of multithreaded programsConditional breakpointsVariables hot modifications“Turbo mode”easy integration in javascripts frameworks / editorsInstallation from pypiWhen it will be published, you will be able the latest stable version from pypi using:$pip3installikp3dbInstallation from sourcesInstall using one of these:$pip3installgit+https://github.com/cmorisse/ikp3db.git@1.x#egg=ikp3db# 1.x is the branch name$pip3installgit+https://github.com/cmorisse/ikp3db.git#egg=ikp3db# from masterIKP3db sources will be installed in ./ikp3db_src/ikp3dbInstallation from sources to contributeGit clone and install using one of these:$pip3install--src./ikp3db_src-egit+https://github.com/cmorisse/ikp3db.git@1.x#egg=ikp3db# 1.x is the branch name$pip3install--src./ikp3db_src-egit+https://github.com/cmorisse/ikp3db.git#egg=ikp3db# from masterIKP3db sources will be installed in ./ikp3db_src/ikp3dbGetting startedCloud9 is IKP3db debugger client reference implementation so head
toCloud9, create an account there then refer to the Getting
Started section ofIKPdb documentation.DocumentationIKP3db is the Python 3 version of IKPdb ; for now there is only one documentation.https://ikpdb.readthedocs.io/RequirementsCPython 3.6.x (CPython 3.10.x support added on 10/2023)A C compiler (eg. python-dev Debian package, xcode tools on macOS).LicenseIKP3dbis licensed under the MIT License.
See the License paragraph in the documentation.Source codeSource code is available on github:https://github.com/cmorisse/ikp3dbIssuesIssues are managed using Github’s Issues Tracker.Memento