Saravanan666/pypi-org huggingface dataset:
Package: pylightning
pylightning: A python client library for lightningdThis package implements the Unix socket based JSON-RPC protocol thatlightningdexposes to the rest of the world. It can be used to call
arbitrary functions on the RPC interface, and serves as a basis for plugins
written in python.Installationpylightning is available onpip:pip install pylightningAlternatively you can also install the development version to get access to
currently unreleased features by checking out the c-lightning source code and
installing into your python3 environment:gitclonehttps://github.com/ElementsProject/lightning.gitcdlightning/contrib/pylightning
python3setup.pydevelopThis will add links to the library into your environment so changing the
checked out source code will also result in the environment picking up these
changes. Notice however that unreleased versions may change API without
warning, so test thoroughly with the released version.ExamplesUsing the JSON-RPC client"""Generate invoice on one daemon and pay it on the other"""fromlightningimportLightningRpcimportrandom# Create two instances of the LightningRpc object using two different c-lightning daemons on your computerl1=LightningRpc("/tmp/lightning1/lightning-rpc")l5=LightningRpc("/tmp/lightning5/lightning-rpc")info5=l5.getinfo()print(info5)# Create invoice for test paymentinvoice=l5.invoice(100,"lbl{}".format(random.random()),"testpayment")print(invoice)# Get route to l1route=l1.getroute(info5['id'],100,1)print(route)# Pay invoiceprint(l1.sendpay(route['route'],invoice['payment_hash']))Writing a pluginPlugins are programs thatlightningdcan be configured to execute alongside
the main daemon. They allow advanced interactions with and customizations to
the daemon.#!/usr/bin/env python3fromlightningimportPluginplugin=Plugin()@plugin.method("hello")defhello(plugin,name="world"):"""This is the documentation string for the hello-function.It gets reported as the description when registering the functionas a method with `lightningd`."""greeting=plugin.get_option('greeting')s='{}{}'.format(greeting,name)plugin.log(s)returns@plugin.init()definit(options,configuration,plugin):plugin.log("Plugin helloworld.py initialized")@plugin.subscribe("connect")defon_connect(plugin,id,address):plugin.log("Received connect event for peer{}".format(id))plugin.add_option('greeting','Hello','The greeting I should use.')plugin.run()
Package: pylightnix
PylightnixPylightnix is a minimalistic Python library for managing filesystem-based
immutable data objects, inspired byPurely Functional Software Deployment Model
thesis by Eelco Dolstraand theNixpackage manager.The library may be thought as of low-level API for creating caching wrappers
for a subset of Python functions. In particular, Pylightnix allows user toPrepare (or, in our terms -instantiate) the computation plan aimed at
creating a tree of linked immutable stage objects, stored in the filesystem.Implement (in our terms -realize) the prepared computation plan, access
the resulting artifacts. Pylightnix is able to handlenon-deterministicresults of the computation. As one example, it is possible to define a stage
depending on best top-10 instances (in a user-defined sense) of prerequisite
stages.Handle changes in the computation plan, re-use the existing artifacts
whenever possible.Gain full control over all aspects of the cached data including the
garbage-collection.DocumentationQuickStart[PDF]|
API Referece[MD]Demos:GNU Hello, turns Pylightnix into a toy
package manager to build the GNU Hello from sources.MDRUN, evaluate code sections in a Markdown document,
and cache the results betwee runs.(Outdated)Manual[PDF]|Ultimatum tutorial,
managing experiments.MNIST demoshows some machine learning specific.REPL demoillustrates how to debug stage sequences.
Package: pylils
Project DescriptionImmersive system to run interactive tutorials, hacking learning lessons or just
games that integrates with your system. The main idea is to have anINKlanguage engine to process thetutorialscripts and provide an interactive user interface to the user. The
system should be able to listen to different Linux events (like filesystem
changes, process is running, the current date, etc) and modify thetutorialstate depending on that.Example:We've a tutorial to learn about how to use the linux terminal, a bash
introductionThe tutorial gives to the user a brief explanation about how to create a
directory and waits for the directory to be createdOnce the system detects that directory, it automatically go forwards, says
congrats to the user and continues with the next stepThe main idea is to build the base system with Python and provide a generic
interface (dbus, socket, cli) to be able to extend and use from different
languages.This idea is based on theHack Computerconcept, but trying to make it simpler and not tied to the desktop. It's a
simple concept to have a way to create a more fun learning experience using aChoose Your Own Adventurelike tutorial flow, with different user input that can happen in a different
process.Goal for this HackweekThis is the full list of goals that will be great to have, in order of
importance:Build a basic python Ink language interpreterCreate the base system that runs the tutorial, keep the state and provide
an API to be usedMake the base system extensible withlistenersthat can wait for
different kind of events:user option selectionuser text inputnew filedate changelaunch program, close programsystem reboot?...Create initial tutorial about how to writelilstutorials / gamesCreate different graphical user interfaces (GNOME shell plugin, desktop
application, web interface...)ResourcesHack ComputerHack Web interfaceINK
Package: pyLIMA
Multiprocessing in pyLIMA (Warning)The latest version of pyLIMA applies the multiprocessing library to parallelize aspects of its model fitting processes in order to optimize for speed. This has been tested and works under Ubuntu Linux with Python 3.11.
Users should be aware that the multiprocessing library uses a different method ('spawn') to start threads on the Mac and Windows platforms compared to the method used on Linux ('fork'), as the fork method is considered to be unsafe on these platforms. Unfortunately, this has meant that pyLIMA crashes if run under the latest version of Python (3.11) under a Mac (and likely under Windows), due to the outstanding issue with the multiprocessing library.
We are currently investigating a fix for this issue. In the interim we recommend using an earlier version of Python with the latest pyLIMA.pyLIMAAuthors : Etienne Bachelet (etibachelet@gmail.com), Rachel Street (rstreet@lcogt.net),
Valerio Bozza (valboz@sa.infn.it), Yiannis Tsapras (ytsapras@ari.uni-heidelberg.de)
and friends!pyLIMA is the first open source software for modeling microlensing events.
It should be flexible enough to handle your data and fit it.
You can also practice by simulating events.Documentation and InstallationDocumentationRequired materialsYou needpipand python, that's it!Installation and use>>> pip install pyLIMAYou should be able to load pyLIMA as general module :importpyLIMAprint(pyLIMA.__version__)ExamplesExamples can be found in the pyLIMA directory after cloning this repository. More details can be found in theDocumentationThere is two version for each examples, one
usingJupyter notebookor
classic Python file.Example_1 :HOW TO FIT MY DATA?Example_2 :HOW TO USE YOUR PREFERED PARAMETERS?Example_3 :HOW TO SIMULATE EVENST?Example_4 :HOW TO USE YOUR OWN FITTING ROUTINES?Example_5 :HOW TO FIT PARALLAX?How to contribute?Want to contribute? Bug detections? Comments?
Please email us (etibachelet@gmail.com) or raise an issue (recommended).
Package: pylimer-tools
Pylimer-ToolsA collection of utility python functions for handling LAMMPS output and polymers in Python.This toolbox provides means to read LAMMPS output: be it data, dump or thermodynamic data files.
Additionally, it provides various methods to calculate with the read data, such as computing the
radius of gyration, mean end to end distance, or simply splitting a polymer network back up into its chains.InstallationUse pip:pip install pylimer-toolsUsageNOTE: currently, this release's API isunstableand subject to change.See thedocumentationfor a current list of all available functions.ExampleExample useage can be found in thedocumentation, thetests,
theCLI applicationor in the following code snippet:importnumpyasnpfrompylimer_tools_cppimportUniverseSequencefilePath="some_lammps_output_file.dat"universeSequence=UniverseSequence()universeSequence.initializeFromDataSequence([filePath])universe=universeSequence.atIndex(0)print("Size:{}. Volume:{}u^3".format(universe.getSize(),universe.getVolume()))print("Mean bond length:{}u".format(np.mean([m.computeBondLengths().mean()forminuniverse])))print("Mean end to end distance:{}u".format(np.mean([m.computeEndToEndDistance()forminuniverse])))
Package: pylimiter
Limiter Python SDKInstallationpip install pylimiterQuick UsageDefault BackendInitialize SDK with the managed storage backendfrompylimiterimportlimiteropts={'backend':'Default','api_token':'api-token',};client=limiter.Client('project-id',opts);Available Methods# Bind user to a planclient.bind('plan-name','user-id')# Check if a feature is within limitifclient.feature('feature-name','user-id'):print('Pass')# Increment usageclient.increment('feature-name','user-id',1)# Decrement usageclient.decrement('feature-name','user-id',1)# Set usage to some valueclient.set('feature-name','user-id',5)# Get feature matrix for the projectfeature_matrix=client.feature_matrix()# Get user's usage datausage=client.usage('user-id')
Package: pylimo
This is Python API for Agilex limoThis is a python API for serial communication with Agilex Robotics-limoInstallationNotes:Make sure that python version >=3.4. if you have python3 and python2 ,please use python3pippip3installpylimoNotes:Make sure that pip3 version >= 9.0.0.pip3-V#cheak the pip3 versionpython3-mpipinstall--upgradepip#updata pip3import to your project#!/usr/bin/env python3# coding=utf-8frompylimoimportlimolimo=limo.LIMO()function list:EnableCommand()SetMotionCommand()GetLinearVelocity()GetAngularVelocity()GetSteeringAngle()GetLateralVelocity()GetControlMode()GetBatteryVoltage()GetErrorCode()GetRightWheelOdem()GetLeftWheelOdem()GetIMUAccelData()GetIMUGyroData()GetIMUYawData()GetIMUPichData()GetIMURollData()EnableCommandPrototype:EnableCommand()Description: Enable command and control mode.SetMotionCommandPrototype:SetMotionCommand()Description:Send Version Request to robots.Parameterslinear_vel:(float)angular_vel:(float)    difflateral_velocity:(float)  manamusteering_angle:(float)  ackermanGetLinearVelocityPrototype:GetLinearVelocity()Description:Get the linear velocity from limoReturn:linear velocityGetAngularVelocityPrototype:GetAngularVelocity()Description:Get the angular velocity from limo .Return:angular velocityGetSteeringAnglePrototype:GetSteeringAngle()Description:Get the steering angle from limo .Return:steering angleGetLateralVelocityPrototype:GetLateralVelocity()Description:Get the lateral velocity from limo .Return:lateral velocityGetControlModePrototype:GetControlMode()Description:Get the control mode from limo .Return:control modeGetLeftWheelOdeomPrototype:GetLeftWheelOdeo()Description:get robots LeftWheelOdom .Return:LeftWheelOdomGetRightWheelOdomPrototype:GetRightWheelOdom()Description:get robots RightWheelOdom .Return:RightWheelOdeomGetBatteryVoltagePrototype:GetBatteryVoltage()Description:Get the battery voltage from limoReturn:battery voltageGetErrorCodePrototype:GetErrorCode()Description:Get the error code from limoReturn:error codeGetIMUAccelDataPrototype:GetIMUAccelData()Description:Get the IMU accle data form limo.Return:IMU_accel_x,IMU_accel_y,IMU_accel_zGetIMUGyroDataPrototype:GetIMUGyroData()Description:Get the IMU gyro data form limo.Return:IMU_gyro_x,IMU_gyro_y,IMU_gyro_zGetIMUYawPrototype:GetIMUYaw()Description:Get the IMU yaw data form limo.Return:IMU_yawGetIMUPitchPrototype:GetIMUPitch()Description:Get the IMU pitch data form limo.Return:IMU_pitchGetIMURollPrototype:GetIMURoll()Description:Get the IMU roll data form limo.Return:IMU_rollExampleNote:For safety, please ensure that the robot's wheels are off the ground1.Move Robot#!/usr/bin/env python3# coding=UTF-8frompylimoimportlimoimporttimelimo=limo.LIMO()limo.EnableCommand()whileTrue:limo.SetMotionCommand(linear_vel=0.1,angular_vel=-0.01)time.sleep(0.1)2.get  message#!/usr/bin/env python3# coding=UTF-8frompylimoimportlimoimporttimelimo=limo.LIMO()limo.EnableCommand()whileTrue:time.sleep(0.1)print(limo.GetLinearVelocity())
Package: pylineage
pylineageThis package provides simple tools for parsing and visualizing your .sql scripts.InstallationThe package is distributed through PyPI, and can be installed withpipinstallpylineageIn order to create a lineage graph you should also install and addGraphvizto your Path.SQL ParserIndividual basic .sql scripts can be parsed by runningfrompylineageimportSqlParserparser=SqlParser()query="""SELECT column1, column2 AS c2FROM my_table tWHERE column1 = 1"""parsed=parser.parse(query)The output looks as follows>>>parsed{"select":[{"content":"column1"},{"content":"column2","alias":"c2"}],"from":{"content":"my_table","alias":"t"},"where":["column1 = 1"]}Currently the parser supports the clausesClauseSELECTFROMLEFT JOINLEFT OUTER JOINRIGHT JOINRIGHT OUTER JOINFULL JOINFULL OUTER JOINJOININNER JOINWHEREQUALIFYGROUP BYORDER BYHAVINGLineage GraphBased on the SQL parser, a lineage graph can be constructed.
We start off with the main constructor:frompylineageimportLineageGraphlineage_graph=LineageGraph()Subsequently, there are two options of adding SQL scripts: (1) as individual input strings or (2) as directory.lineage_graph.extend_graph_from_input_string("CREATE TABLE my_view AS SELECT column1 FROM my_table")lineage_graph.extend_graph_from_directory("/data")The graph can be cleared at any time by runninglineage_graph.clear_graph()One purpose of parsing and visualizing is to obtain execution order. This can be obtained by runninglineage_graph.get_execution_order()NOTEAny inner query that is not a part of a source clause (FROM / JOIN) is not included as a node in the graph. As such, statements like the one below are not taken into account....WHEREcolumnnotin(SELECTcolumnFROMtable2)Finally the Lineage Graph can be accessed by directly checkinglineage_graph.graphor by running it in interactive mode:lineage_graph.serve_graph()The interactive mode offers convenient highlighting and dragging capabilities.
Package: pylineclip
Line clippinglineclipping.f90Cohen-Sutherland line clipping algorithm for
massively parallel coarray modern Fortran. Input scalars or arrays,
output intersections orNaNif no intersection.lineClipping.pyCohen-Sutherland line clipping algorithm for Python.
Input scalars, output intersection length, orNoneif no intersection.Julia line clipping is athttps://github.com/scivision/lineclipping-juliaInstallTo install the latest release:pipinstallpylineclipFortranIf you want to use the Fortran Cohen-Sutherland line clipping modules
directly (optional):mesonbuild

mesontest-CbuildUsageThe main difference with textbook implementations is that I return a
sentinel value (NaN, None, nothing) if there's no intersection of line
with box.Pythonimportpylineclip.lineclippingaslcx3,y3,x4,y4=lc.cohensutherland((xmin,ymax,xmax,ymin,x1,y1,x2,y2)If no intersection,(None, None, None, None)is returned.Fortranlineclipping.f90 has two subroutines.
Pick Ccohensutherland if you're calling from C/C++/Python, which cannot tolerate assummed-shape arrays.
It's a slim wrapper to cohensutherland which is elemental (can handle scalar or any rank array).Fortran programs will simply useuselineclippingcallcohensutherland(xmin,ymax,xmax,ymin,x1,y1,x2,y2)The arguments are:INPUTS
------
xmin,ymax,xmax,ymin:  upper left and lower right corners of box (pixel coordinates)

INOUT
-----
x1,y1,x2,y2:
in - endpoints of line
out - intersection points with box. If no intersection, all NaN
Package: pyline-notify
pyline-notifyA python library for manipulating line notify apiInstallpip install pyline-notifyQuickStartFirst, get line notify token fromhttps://notify-bot.line.meimport line_notify
client = line_notify.LineNotify(token=YOUR_ACCESS_TOKEN)
client.notify('hello')  # send message
client.notify(imgs='./docs/image/london.jpg')  # path of imageYou can sendPIL.Image.Imagefrom PIL import Image
pil_img = Image.open('./docs/image/london.jpg')
client.notify(imgs=pil_img)If the argument ofLineNotify'stokenis None, get access token from environment variableLINENOTIFY_TOKEN.
Package: pyLinG3D
pyLinG3D: Visualizing the Spatio-Temporal Dynamics of Clonal EvolutionThis library is a python implementation of the LinG3D (https://github.com/rejniaklab/LinG3D) which generates the 3D lineage trees of (1) all clones; (2) individual clones; (3) all clones, but with only those cells that survived to the end of simulation; and (4) individual clones containing only those cells that survived to the end of simulation.Installing with pipif you are using Linux or macOS you can install pyLinG3D with pippipinstallpyLinG3DExample%matplotlibipymplfrompyLinG3DimportLinG3DClonefromplatformimportpython_versionprint(python_version())#exampleB05pathData='exampleB05'cloneNum=5toPrint=1# save the final figureIsGradient=1# draw drug gradient in the background 1-yes; 0-no;xmin=-100;xmax=100;ymin=xmin;ymax=xmax# 2D domain boundariestmin=0;tmax=100000# time/iteration boundariesfileStep=2000# frequency of dataLinG3DClone(pathData,cloneNum,IsGradient,xmin,xmax,ymin,ymax,tmin,tmax,fileStep,toPrint).linG3DClone()AuthorsAnjun Hu, Maureiq Ojwang’, Kayode Olumoyinkayode.olumoyin@moffitt.org, Katarzyna RejniakSource Codehttps://github.com/okayode/pyLinG3DAcknowledgementsThis work was supported by the NIH/NCI grants CA259387 and CA272601, and the NIH/NCI Physical Sciences Oncology Network (PSON) grant CA202229.
Package: py-lingo
py-lingoUtilities for helping you deploy a subset of Scikit-Learn linear models in Go. See thelingorepository for more details.This package is particularly focussed on saving linear modelsfor inferencepurposes.The package has been tested and supports the following Linear Model variants:LinearRegressionLogisticRegressionRidgeRidgeClassifierLassoSGDRegressorSGDClassifierQuickstartYou can installpy-lingowith.pipinstallpy-lingoYou'll then be able to import it in your code with:importpylingofromsklearn.linear_modelimportLinearRegressionmodel=LinearRegression()pylingo.dump(model,"model.h5")loaded_model=pylingo.load("model.h5")
Package: pylingva
PylingvaSimple translator usingLingva TranslateAPIInstallpip install pylingvaUsageCLI$translate-h

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Simpletranslatortool.


Options:-h,--helpDisplaythismessage-s,--sourceSourceLanguagetotranslate-t,--targetTargetLanguagetotranslate-txt,--textTexttotranslate-ll,--list-languagesListLanguagessupport-f,--filePathfile.txttotranslate-o,--outputOutputfiletranslationresult

$translate-sauto-tid-txt"How are You ?"Apakabar?

$translate-sauto-tid-txt"How are You ?"-ooutput.txtTranslationresultsavedinoutput.txt

$translate-sauto-tid-finput.txt-ooutput.txtTranslationresultsavedinoutput.txtPythonList languagesfrompylingvaimportpylingvatrans=pylingva()list_languages=trans.languages()print(list_languages)Output:{'Detect': 'auto', 'Afrikaans': 'af', 'Albanian': 'sq', 'Amharic': 'am', 'Arabic': 'ar', 'Armenian': 'hy', 'Azerbaijani': 'az', 'Basque': 'eu', 'Belarusian': 'be', 'Bengali': 'bn', 'Bosnian': 'bs', 'Bulgarian': 'bg', 'Catalan': 'ca', 'Cebuano': 'ceb', 'Chichewa': 'ny', 'Chinese': 'zh', 'Chinese (Traditional)': 'zh_HANT', 'Corsican': 'co', 'Croatian': 'hr', 'Czech': 'cs', 'Danish': 'da', 'Dutch': 'nl', 'English': 'en', 'Esperanto': 'eo', 'Estonian': 'et', 'Filipino': 'tl', 'Finnish': 'fi', 'French': 'fr', 'Frisian': 'fy', 'Galician': 'gl', 'Georgian': 'ka', 'German': 'de', 'Greek': 'el', 'Gujarati': 'gu', 'Haitian Creole': 'ht', 'Hausa': 'ha', 'Hawaiian': 'haw', 'Hebrew': 'iw', 'Hindi': 'hi', 'Hmong': 'hmn', 'Hungarian': 'hu', 'Icelandic': 'is', 'Igbo': 'ig', 'Indonesian': 'id', 'Irish': 'ga', 'Italian': 'it', 'Japanese': 'ja', 'Javanese': 'jw', 'Kannada': 'kn', 'Kazakh': 'kk', 'Khmer': 'km', 'Kinyarwanda': 'rw', 'Korean': 'ko', 'Kurdish (Kurmanji)': 'ku', 'Kyrgyz': 'ky', 'Lao': 'lo', 'Latin': 'la', 'Latvian': 'lv', 'Lithuanian': 'lt', 'Luxembourgish': 'lb', 'Macedonian': 'mk', 'Malagasy': 'mg', 'Malay': 'ms', 'Malayalam': 'ml', 'Maltese': 'mt', 'Maori': 'mi', 'Marathi': 'mr', 'Mongolian': 'mn', 'Myanmar (Burmese)': 'my', 'Nepali': 'ne', 'Norwegian': 'no', 'Odia (Oriya)': 'or', 'Pashto': 'ps', 'Persian': 'fa', 'Polish': 'pl', 'Portuguese': 'pt', 'Punjabi': 'pa', 'Romanian': 'ro', 'Russian': 'ru', 'Samoan': 'sm', 'Scots Gaelic': 'gd', 'Serbian': 'sr', 'Sesotho': 'st', 'Shona': 'sn', 'Sindhi': 'sd', 'Sinhala': 'si', 'Slovak': 'sk', 'Slovenian': 'sl', 'Somali': 'so', 'Spanish': 'es', 'Sundanese': 'su', 'Swahili': 'sw', 'Swedish': 'sv', 'Tajik': 'tg', 'Tamil': 'ta', 'Tatar': 'tt', 'Telugu': 'te', 'Thai': 'th', 'Turkish': 'tr', 'Turkmen': 'tk', 'Ukrainian': 'uk', 'Urdu': 'ur', 'Uyghur': 'ug', 'Uzbek': 'uz', 'Vietnamese': 'vi', 'Welsh': 'cy', 'Xhosa': 'xh', 'Yiddish': 'yi', 'Yoruba': 'yo', 'Zulu': 'zu'}Translatefrompylingvaimportpylingvatrans=pylingva()txt="Halo apa kabar ?"translate=trans.translate("auto","en",txt)print(translate)Output:Hello, how are you ?
Package: pylinkandtrack
PyLinkAndTrackInterface amigável daLink & Track: simplifica rastreamento de encomendas 
        nos Correios através de sua poderosa API.Como instalar o projeto?Para a instalação do projeto recomendamos que use opipxpara fazer essa instalação:pipxinstallpylinkandtrackEmbora isso seja somente uma recomenda uma recomendação! Tu também podes instalar o projeto com o gerenciador de sua
preferência. Comopip:pipinstallpylinkandtrackComo usar?Este projeto se baseia nas funcionalidades oferecidas pela API doLink&Track, que
possibilita o rastreamento de encomendas, sujeito a limites de consultas por minuto.Em nossa implementação, todas as requisições à API doLink&Tracksão realizadas de forma
assíncrona, proporcionando um desempenho otimizado em sua aplicação. Abaixo, apresentaremos como é possível realizar o
rastreamento de uma encomenda por meio da nossa interface:Exemplo de Rastreamento de Encomenda:fromasyncioimportrunfromlinkandtrackimportLinkAndTrackasyncdefmain()->None:# Crie o seu user e token no site do Link&Track# Link: https://linketrack.com/linkandtrack=LinkAndTrack(user='teste',token='1abcd00b2731640e886fb41a8a9671ad14'+'34c599dbaa0a0de9a5aa619f29a83f',)result=awaitlinkandtrack.tracker(tracking_code='LX632045407CN')print(result)run(main())E o resultado do print será como este abaixo:result={'codigo':'LX632045407CN','host':'lt','eventos':[],'time':1.599,'quantidade':0,'servico':'REMESSA INTERNACIONAL',}Desta forma, ao utilizar nossa interface, você poderá obter informações sobre o rastreamento de encomendas de maneira
eficiente e otimizada. Lembre-se de respeitar os limites de consultas por minuto estabelecidos pela API doLink&Trackpara garantir o bom funcionamento do serviço.
Package: pylinkedlist
Python-LinkedListLinkedlist data structure to work with python.InstallationpipinstallpylinkedlistUninstallationpipuninstallpylinkedlistImporting PackageimportpylinkedlistasllistInitializing A LinkedListInitialize a variable var with Linkedlist data structure.var=llist.LinkedList()Adding Element in the LinkedListAppending at the endAdd element[s] at the end of linkedlist# x can be a list or single elememntvar.add(x)Adding in the frontAdd element[s] at the front of linkedlist# x can be a list or single elememntvar.addleft(x)Count of Nodes in the LinkedListcount=var.getcount()Reference of Node in the LinkedListcount=var.getnode()Find Middle Element in the LinkedListcount=var.getmid()Delete A Node From LinkedListcount=var.delete_from_mid(x)Insert At Midvar.insert_at_mid(x)Element at Given Positionelement=var.at(x)