Saravanan666/pypi-org huggingface dataset:
Package: lauztat
Pure python statistics tools for high energy physics usingzfitas
a backend for maximum likelihood fits.Tests for discovery, upper limits and confidence intervals are provided based on likelihood ratios
in a frequentist approach (using pseudo-experiments) or using asymptotic formulae from
“Asymptotic formulae for likelihood-based tests of new physics”[arxiv:1007.1727].lauztat has been developed at EPFL, Lausanne Switzerland (laus’ or lauz is how the cool kids call Lausanne).InstallationInstalllauztatlike any other Python package:pipinstalllauztat# maybe with sudo or --user, or in virtualenvDependenciesNumpyzfitmatplotlib(optionnal)Getting startedUsual HEP results can be recast in terms of hypothesis testing where you have to
choose a null H0and an alternative H1hypothesis, H0being the one you want to disprove.
To do a test you will need your data (and weights), a model, a loss function builder
and a minimizer as input to a calculator (FrequentistCalculatororAsymptoticCalculator).Discovery:if you do a measurement to find signals S in a dataset and you find an excess, this
test answers “is the data compatible with the background only ?” with:H0: background only (S = 0)H1: presence of a signal (S ≠ 0)The test return a p-value or a significance Z. If Z ≥ 3 there is an evidence
and if Z ≥ 5 a discovery of a signal.Examples of significance computations for a gaussian peak over an exponential background are
provided for theasymptotic calculatorand thefrequentist calculatorand can be ran inmybinder.Upper limit:if you find a small signal excess in a dataset, but not enough to claim
an evidence or a discovery, you can exclude large signal yields S:H0: background + some signal (S = S0)H1: S < S0S0is adjusted to a predefined p-value, typically 5%. S0is the upper
limit on the signal yield S with 95 % confidence level
(CL = 1 - p ; p = 5 % ⟺ CL = 95%).Examples ofCLsupper limits on the signal yield
for a gaussian peak over an exponential background are
provided for theasymptotic calculatorand thefrequentist calculatorand can be ran inmybinder.Confidence interval:if you do a measurement of a parameter α with an estimator ᾰ, given an observation
ᾰobswhat value of α are not rejected at a certain confidence level (typically 68%)?H0: α ≤ αdownor α ≥ αupH1: αdown< α < αupαdownand αupare adjusted such the test returns a p-value of 32%.Examples of confidence intervals on the mean of a gaussian peak are
provided for theasymptotic calculatorand thefrequentist calculator(Feldman and Cousins confidence interval[arxiv:9711021])
and can be ran inmybinder.
Package: lava-celery
LAVA celery sets up a celery environment in which LAVA can executecelerytasks on remote systems.Terminology:control nodeThis is node set up by lava-deployment-tool. Its running the web app,
database, and important to this the RabbitMQ server.worker nodeA node (remote or local) that will handle celery job requests from the
control node.Setting Up The Worker Nodelava-deployment-tool currently does not have support for configuring a
celery instance. For now it can be configured using virtualenv and pip:$ virtualenv workernode ; cd workernode
$ . ./bin/activate
$ pip install lava-tool
$ bzr branch lp:lava-celery
$ cd lava-celery ; ./setup.py install ; cd ..You’ll probably also want something like the dispatcher set up in your
worker node:$ pip install lava-dispatcherYou can then run your worker in the virtualenv with:$ lava celryd [--url <broker url>]Testing the SetupYou can test that your worker node responds to job requests by running the
following from your control node:$ . /srv/lava/<INSTANCE>/bin/activate
$ lava celery run-remote hello-world
Package: lavaclient
Package DocumentationGitHub READMEChangelog0.3.7CLIShow units for flavor memory and diskAdd support for user script status on individual nodes0.3.6CLIAdd –cluster-region toclusters create0.3.5CLIIn commands that require specifying a node group ID, the validation
regex is more lenient0.3.4Add missing prettytable dependency0.3.3Remove keystoneclient dependency0.3.2Fix packaging issue0.3.1CLIDisplay cluster credentials in all calls that show cluster detailsAll delete methods can delete multiple items0.3.0CLIFix unformatted output for single-item requests, e.g.clusters getShell command no longer displays command-line specific outputAdd ability to control (i.e. start, stop, or restart) services on a cluster0.2.9CLIFixed –version flagUpdated cluster node groups format to show component names instead of
raw JSONSort cluster nodes by nameYou may now SSH to any cluster not in ERROR status, including IMPAIRED
clusters0.2.8CLIAdd update_credentials and delete_ssh_credentials commandsRemove restrictions on credential names in type=name pairsAdd configurable request timeouts and retries on network errors and 503 responses0.2.7CLIImprove stacks displayAdd –force options to delete methods to skip confirm dialog0.2.6Fix SSH methods bug in which ambari node is targeted0.2.5GeneralAdd ambari credential management methodsRe-enabled stacks create/delete0.2.4GeneralAdd ssh_tunnel method/command to help set up SSH tunnels to a clusterAdd additional debugging levelsGet V2 API endpoints from service catalogCLIImprove display for node componentsAdd confirmations for delete methods, e.g.clusters deletePiping output to another command disables pretty printing so that it is
easier to parse0.2.3Fix cluster create bug in CLI in which missing credentials are not detected
properlyUpdate dependencies for keystoneclient and oslo.i18n to avoid library
conflict issue0.2.2ClientLetnode_groupsargument be a nested dict, in addition to the original
list of dicts formatCLIAdd prompt tocluster createto confirm whether ssh credential should
automatically be created from$HOME/.ssh/id_rsa.pub0.2.1Initial release
Package: lava-core
LAVA Corehttp://xkcd.com/927/Seriously, lava has way to many tiny pieces. It all started when we renamed
launch-control to lava-dashboard and created lava-server in the process. Now
it’s getting in the way.So here we are, lava-core is the start of the merge. Subsequent projects will
slowly merge into the core. Then one day we may just get a package that is
called ‘lava’, that ships a program called ‘lava’ that does useful stuff.QuickstartSee doc/QUICKSTART.Android Debug Bridge (adb) installationTo run android test job, adb is common to be used.For installing adb, you can download the SDK fromhttp://developer.android.com/sdk/index.htmlBy default, the SDK files are unpacked into a directory named
android-sdk-<machine-platform>.You can find the adb tool in <sdk>/platform-tools/.You might want to add the location of the SDK’s tools/ and platform-tools
to your PATH environment variable, to provide easy access to the tools.
Package: lava-fastmodels
Fast Model support for LAVA===========================This package contains low level code for managing fast models in LAVA.Currently it is designed to manage NFS mounts, setting up the root filesystem(exporting the provided tarball to the mount point and blessing it withfast-model specific changes, if required). It also contains code for startingthe fast model runtime, monitoring execution and eventual shutdown (or forcedshutdown, if required).Support for lava-serial plugin is being considered (to be able to get aLAVA-Serial access to a running fast model emulation)Requirements============* Working installation of FastModelsPortfolio 7.0 from ARM* Root access on local machine (to manipulate NFS shares, gainedautomatically via sudo)* Bleeding edge version of json-document and more mature versionsof lava-tool and their dependencies (in the upcoming release alsoa bleeding edge version of lava-serial)Example=======(I made this up as that part does not work yet).To start a fast model on your machine run the following command:$ lava fast-model start --kernel=uImage --initrd=initrd --rootfs=roottfs.tar.gzUnpacking rootfs... doneSetting up NFS share... doneStarting fast model... doneYou can connect to the serial console with$ lava serial console --network localhost:5001Pressing CTRL-C will terminate this simulation^CShutting down... doneRemoving NFS share... doneRemoving root filesystem... done$API===To use fast models in your code you can try the following example.(I just made it up, it does not work yet)import timefrom lava.fastmodels.simulators import LinuxSimulatorfrom lava.fastmodels.models import ModelLibraryclass Handler(object):def on_line(self, line):print repr(line)# Get a library, any path works (as long as you have models there)library = ModelLibrary('/srv/lava/instances/dev/var/lib/lava/fastmodels/models')# Get a model from the librarymodel = library['A15x1']simulator = LinuxSimulator(model, rootfs="rootfs.tar.gz", uImage="uImage")with simulator.start():serial = simulator.serial_consoleserial.attach_handler(Handler())time.sleep(60)
Package: lavagame
pg dragon สล็อต คาสิโน บาคาร่า ครบจบในเว็บเดียว 24 ชั่วโมง👉pg dragon ฝาก10รับ100👉pg dragon ทางเข้า👉pg dragon เครดิตฟรีpg dragon เดิมพันสล๊อตออนไลน์ บริการครบเข้าสู่ pgdragon เว็บคาสิโนที่ดีที่สุด ได้รับความนิยมอันดับต้นๆของประเทศไทย ลงทะเบียนตอนนี้ พร้อมรับสิทธิ์พิเศษต่างๆมากมาย จากการเป็นสมาชิกครั้งแรก ที่นี่ พีจีดราก้อน
จัดเต็มทั้งความสนุกและความบันเทิง มาพร้อมข้อเสนอโบนัสมากมาย ได้รับความสนุกสนานที่มีความมั่นคง ปลอดภัย มีเกมส์ให้เลือกเล่นอย่างครบครัน กดเข้ามาเล่นเกมได้อย่างมั่นใจ พร้อมเปิดให้บริการแล้ววันนี้ ที่สำคัญไม่มีการกำหนดจำนวนขั้นต่ำในการฝากถอน หรือการลงเดิมพันทุกท่านจัดสรรได้ตามที่ต้องการ จะเข้ามาทดลองเล่นเกมฟรีก็ได้ ใครสนใจอย่ารอช้ารีบเข้ามาเป็นครอบครัวเดียวกันกับเราได้เลย
เลยdragonpg คาสิโนออนไลน์คาสิโนออนไลน์ dragon pg เป็นแหล่งรวบรวมเกมเดิมพัน ที่จะทำให้ทุกท่านตื่นตาตื่นใจ และได้รับประสบการณ์ที่ไม่เคยได้รับมาจากที่ไหนแน่นอน เป็นแหล่งที่คัดสรรและรวบรวมเกมเดิมพันเอาไว้ให้บริการเยอะที่สุดครบที่สุดและเล่นง่ายที่สุด สามารถเล่นได้ในรูปแบบออนไลน์ไม่มีปิดทำการไม่ต้องเสียเงินไม่ต้องเสียเวลา เริ่มลงทุนและวางเดิมพันได้ตั้งแต่หลักสิบ โอกาสในการทำกำไรมีสูง อีกทั้งยังได้รับความสนุกเพลิดเพลินจากการเล่นเกมที่ จำเจ เล่นได้ไม่มีสะดุดตลอดทั้งวัน ใครยังไม่เคยสัมผัสประสบการณ์แบบนี้สามารถเข้ามาใช้บริการที่หน้าเว็บไซต์ได้เลยเป็นโปรโมชั่นอะไรpgดราก้อน สล็อตออนไลน์เกมอันดับหนึ่ง ได้รับความนิยมมาโดยตลอด pgดราก้อน มีรูปแบบการเล่นเกมส์ ง่ายไม่ซับซ้อน มีรูปแบบการจ่ายรางวัลที่หลากหลายช่วยเพิ่มโอกาสให้ทุกท่านนั้น ทำกำไรจากการเล่นเกมได้ง่ายขึ้น เหมาะกับใครที่ชื่นชอบการเสี่ยงดวง ชื่นชอบความลุ้นความท้าทายเกมสล็อตออนไลน์ตอบโจทย์เป็นอย่างมาก ไม่จำเป็นต้องมีเงินเยอะก็มีโอกาสกอบโกยเงินกำไรกลับไปได้แน่นอนมีเกมให้เลือกเล่นมากมายหลากหลายประเภทหลากหลายรูปแบบสามารถกดเข้าไปดูมีเกมอื่นๆเพิ่มเติมที่หน้าเว็บไซต์ได้เลยdragon slot ยอดนิยมเกมสล็อต ยอดนิยมมีมากมายหลากหลายเกม เช่น Slot mania , Heart of Vegas Slot และอื่นๆอีกมามาย สำหรับมือใหม่ที่ไม่รู้ว่าจะเริ่มต้นเล่นเกมอะไรดี วันนี้เราก็มาแนะนำเกมสล็อตออนไลน์ที่น่าสนใจ ให้ทุกท่านได้รู้จัก เพื่อทุกท่านจะได้นำไปใช้ประกอบการตัดสินใจ แต่รับรองได้เลยว่าทุกๆเกมที่คัดสรรมา เล่นง่ายทำเงินง่าย จริงไม่จกตาแน่นอน ใครสนใจก็กดเข้าไปทดลองเล่นก่อนตัดสินใจลงทุนได้
Package: lava-peripherals
Lava PeripheralsLava-peripherals is a library to the open-source frameworkLavathat adds support for peripheral devices such as cameras or robotic actuators.
Lava enables users to develop neuro-inspired applications and map them to neuromorphic hardware. It provides tools and abstractions to develop applications that fully exploit the principles of neural computation.ContentDynamic Vision CamerasMetavisionInivation (coming soon)Intel RealSense camerasRobotic actuators (to be planned)DependenciesLava-peripherals currently requires Linux and does not support Windows or MacOS.Third-party dependenciesLava-peripherals is flexible with the dependency on the libraries for the peripheral hardware and requires only those to be installed which are used.PropheseeCameraThePropheseeCameraProcess, requires themetavision-sdkv4.0.0 or newer to be installed.RealSenseTheRealSenseProcess, requires theIntel® RealSense™ SDKv2.0 and the Python wrapperpyrealsense2to be
installed.Python dependenciesLava-peripherals requires Python version 3.9 or newer; for installation either pip or poetry is required.InstallationLinuxcd$HOMEcurl-sSLhttps://install.python-poetry.org|python3-
gitclonehttps://github.com/lava-nc/lava-peripherals.gitcdlava-peripherals
poetryconfigvirtualenvs.in-projecttruepoetryinstall# in order to find metavision-sdksed-i"s/include-system-site-packages\ =\ false/include-system-site-packages\ =\ true/g".venv/pyvenv.cfgsource.venv/bin/activate
pytest## See FAQ for more info: https://github.com/lava-nc/lava/wiki/Frequently-Asked-Questions-(FAQ)#installMore informationFor more information visithttp://lava-nc.orgor theLava-nc on GitHub.
​Stay in touchTo receive regular updates on the latest developments and releases of the Lava
Software Framework
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Package: lavaplay.py
lavaplay.pySupport Guild|Examples|Documentation|SourceIts a lavalink nodes manger to make a music bots for discord with python.Aboutlavaplay.py is a nodes manager to connection with discord voice gateway, easy to create a music bot, you can use to anything async discord wrapper libraryUsageexample for create connecting with lavalink server usinghikari.importhikariimportlavaplaybot=hikari.GatewayBot("token")lavalink=lavaplay.Lavalink()node=lavalink.create_node(host="localhost",port=2333,password="youshallnotpass",user_id=123)@bot.listen()asyncdefon_ready(event:hikari.ShardReadyEvent)->None:node.connect()bot.run()examples for some methods.# Player objectplayer=node.get_player(guild_id)# Auto search mix with track or queryawaitplayer.auto_search_tracks("Rick Astley")# Play trackawaitplayer.play(track)# Skipawaitplayer.skip()# Pauseawaitplayer.pause(stats)# Volumeawaitplayer.volume(volume)FeaturesSpotify supportnew Rest api for lavalink supportconnection handlerSupport youtube playlistAdd example for other discord wrapper libraryInstallation# Linux/OS X$pip3install-Ulavaplay.py# Windows$pipinstall-Ulavaplay.py
Package: lava-raven
Raven support for LAVA======================This very small extension hooks up your LAVA system to Sentry via Raven, theofficial Sentry client.Installation^^^^^^^^^^^^You first need to deploy sentry itself somewhere (I recommend the standalonemode). Installing this extension is rather easy::$ pip install lava-ravenYou need to edit your LAVA ``settings.conf``(``/srv/lava/instances/.../etc/lava-server/settings.conf``) and define the``SENTRY_DSN`` variable. You can get it from a running Sentry instance, followthose steps::1. Create a sentry user, sign in as that user2. Click projects->manage3. Select the desired sentry project (or just pick the default one)4. Add yourself as a member. This allowed me to have the DSN variable.Options^^^^^^^There are two conifguration options available, both are off by default:USE_SENTRY_404_MIDDLEWARE*************************If you flip this to ``true`` all 404 error will be reported in Sentry.USE_SENTRY_RESPONSE_MIDDLEWARE******************************If you flip this to ``true`` all crashing views will be handled by sentry witha nice error message that contains the incidend ID.
Package: lavasnek-rs
lavalink-rsAn API Wrapper forlavalink. Compatible with alltokio 1.xbased discord crates orasynciobased discord python libraries.If you have questions, you can get support in theserenityorlavalinkdiscord servers, or by opening an issue in thegitlab repository.To-Do0.12Implement some const methodsRoutePlanner APISwitch from reqwests to hypernative and webpki roots for rustls feature separationSupporttokio-websocketsExpose Http and methods to pythonImplement search utilities to pythonFutureStreamable queue readerImprove documentation with examples, better formatting, and fill in missing dataExpand event logginghikari-lightbulb examplediscord.py examplehata exampletwilight-rs exampleGitlab CI TestsImplement abstractions for ease of useRegion based node selection methodDonenative_tlsbackendPlayer queuesReadbale player queuesSearch engine helpersWrite basic cocumentationSongbird utilitiesSerenity utilitiesTwilight utilitiesLoad balancer node selection methodLavasnek (PyO3)Lavasnek eventsRemove third party dependency for custom user data.Round-Robin node selection methodMain and fallback node selection methodCPU Load based node selection methodMemory usage based node selection methodCustom node selection methodPython stubsBasic Twilight 0.16 supportHide password from logsLinks to download stuff you will needTo install Lavalink, you can follow theirgetting started guide.How to useInstall the version from crates.io:lavalink-rs="0.11"# or[dependencies.lavalink-rs]version="0.11"Or the development release:lavalink-rs={git="https://gitlab.com/vicky5124/lavalink-rs/",branch="main"}# or[dependencies.lavalink-rs]git="https://gitlab.com/vicky5124/lavalink-rs/"branch="main"If you wish to use a development version of songbird (or serenity, or twilight-model), add the following to the Cargo.toml:[patch.crates-io.songbird]git="https://github.com/serenity-rs/songbird"branch="next"[dependencies.songbird]git="https://github.com/serenity-rs/songbird"branch="next"To build for python, you can use maturin.python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install maturin
maturin develop --target x86_64-unknown-linux-gnuFeaturesmacros:default feature- Adds procedural macros for ease of use.rustls:default feature- Use rustls.native-tlsUse the system native tls.serenityforserenitysupport.songbirdforsongbirdsupport.twilightfortwilight-modelv0.15 support.twilight16fortwilight-modelv0.16-rc support.pythonfor python3.8+ support.ContributingTo contribute to the project, fork thegitlab repositoryand create a merge request over there. Make sure to update the changelog with whatever update you did to the library.
Package: lava-test
Lava-test is an automated testing framework with pre-defined tests and the
ability to define additional tests as needed.  Tests can be
automatically installed, executed, and the results can be parsed and
uploaded to an external server.How to install from the source codeRun: ./setup.py installHow to setup from the source code for developmentRun: ./setup.py develop –userNOTE: You will get an error regarding “ImportError: No module named versiontools”. It is a know error. The workaround is
run the setup.py againRun: ./setup.py develop –userThis will put your development branch is in the python path and the scripts in <home>/.local/binAdd <home>/.local.bin in your PATHTo install built-in testsRun: lava-test list-testsRun: lava-test install <test>To install tests inside a python packageGet the test code from bzr branch lp:~linaro-graphics-wg/+junk/linaro-graphics-wg-testsInstall the tests into python packages manager. ./setup.py installRun: lava-test list-testsTo install test define with a json fileRun: lava-test register-testfile://localhost/<..>/examples/stream.jsonRun: lava-test list-tests
Package: lava-tool
AboutThis source package contains the command-line tool for interacting
with the various services built by the Linaro (www.linaro.org)
Infrastructure Team.Note that this package only contains the core tool; to actually
interact with a service you’ll need to install a corresponding plugin.
XXX explain where to get some plugins.InstallationSee INSTALLUsageDealing with jobs$ lava job new file.json      # creates file.json from a template
$ lava job submit file.json   # submits file.json to a remote LAVA server
$ lava job run file.json      # runs file.json on a local LAVA deviceDealing with LAVA Test Shell Test Definitions$ lava testdef new file.yml      # creates file.yml from a template
$ lava testdef submit file.yml   # submits file.yml to a remote LAVA server
$ lava testdef run file.yml      # runs file.yml on a local LAVA deviceDealing with LAVA Test Shell Scripts$ lava script submit SCRIPT     # submits SCRIPT to a remote LAVA server
$ lava script run SCRIPT        # runs SCRIPT on a local LAVA deviceBash completionOnce lava-tool is installed, you can turn bash completion on for thelavaandlava-toolprograms with the following commands (which you can also paste in
your ~/.bashrc):eval “$(register-python-argcomplete lava)”
eval “$(register-python-argcomplete lava-tool)”Then if you type for example “lava-tool su<TAB>”, it will complete that “su”
with “submit-job” for you.Reporting BugsAll bugs should be reported to the launchpad project athttps://bugs.launchpad.net/lava-tool/+filebug
Package: lavender
LavenderA slightly more compromising Python code formatter, based on the latest stable release ofBlack(20.8b10at the time of writing).Differences from BlackThe default line length is 99 instead of 88 (configurable with--line-length).Single quoted strings are preferred (configurable with--string-normalization none/single/double).Empty lines betweenclasses anddefs are treated no differently from other code. The old
behavior, which sometimes inserts double empty lines between them, remains available via--special-case-def-empty-lines.The Vim plugin configuration variable for line length is namedg:lavender_line_lengthinstead
ofg:lavender_linelength, for consistency with the other configuration variable names.DocumentationRead up onBlack, but replaceblackwithlavenderin your
head.DevelopmentPoetryis recommended for managing Python development tooling.To initialize an isolated Python development environment for Lavender:poetry installCode FormattingCode formatting for Python is handled by Lavender itself.To check that the code is correctly formatted:poetry run lavender --check .To auto-format the code:poetry run lavender .Type CheckingType checking for Python is handled bymypy.To check that the code is correctly typed:poetry run mypy .LicenseLavender is Copyright (c) 2019-2021 Michael Smith <michael@spinda.net>Black, the software on which it was based, is Copyright (c) 2018-2020 Łukasz LangaThis program is free software: you can redistribute it and/or modify it under the terms of the MIT
License.This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without
even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the MIT
License for more details.You should have received acopyof the MIT License along with this program. If not, seehttp://opensource.org/licenses/MIT.ContributionUnless you explicitly state otherwise, any contribution intentionally submitted for inclusion in
this work by you shall be licensed as above, without any additional terms or conditions.
Package: lavender-logging
Lavender LoggingLavender Logging is a logger configuration system designed to simplify the process of configuring your logger to only log the messages you want to see.UsageTo use Lavender simply calllavender.setup()instead oflogging.basicConfig(). This will enable all of Lavender's features and ensure it works as intended.Lavender uses its own filter system, configured using patterns which match package names. For examplediscord.*matches all submodules of thediscordpackage. Filters can be added using thefilter_configparameter oflavender.setupor using environment variables.Lavender looks for evironment variables withLOG_DEBUG,LOG_INFO,LOG_WARNINGetc to extract patterns from. Multiple patterns can be specified for the same log level by separating them withos.pathsep. For example, the following will set the log level ofamethyst.clientand all submodules ofdiscordand toERRORon windows.LOG_ERROR="amethyst.client;discord.*"Filters that infer more of a package's path with wildcards have less priority over more specific patterns. For example with the patternsdiscord.*anddiscord.gateway.*,discord.gateway.*will have priority.