Saravanan666/pypi-org huggingface dataset:
Package: pylazaro
pylazaroA library for lexical borrowing detection (a.k.a loanwords) in Spanish, with a focus on anglicism detection.InstallationTo installpylazarosimply run the following command from the command line:pip install pylazaroTo uninstallpylazarosimply run the following command from the command line:pip uninstall pylazaroGet startedA working example on how to detect borrowings in a text usingpylazaro:>>> from pylazaro import Lazaro

# We create our borrowing detection tagger
>>> tagger = Lazaro()

# The text we want to analyze for borrowing detection
>>> text = "Inteligencia artificial aplicada al sector del blockchain, la e-mobility y las smarts grids entre otros; favoreciendo las interacciones colaborativas."

# We run our tagger on the text we want to analyze
>>> result = tagger.analyze(text)

# We get results
>>> result.borrowings_to_tuple()
[('blockchain', 'en'), ('e-mobility', 'en'), ('smarts grids', 'en')]

>>> result.tag_per_token()
[('Inteligencia', 'O'), ('artificial', 'O'), ('aplicada', 'O'), ('al', 'O'), ('sector', 'O'), ('del', 'O'), ('blockchain', 'B-ENG'), (',', 'O'), ('la', 'O'), ('e-mobility', 'B-ENG'), ('y', 'O'), ('las', 'O'), ('smarts', 'B-ENG'), ('grids', 'I-ENG'), ('entre', 'O'), ('otros', 'O'), (';', 'O'), ('favoreciendo', 'O'), ('las', 'O'), ('interacciones', 'O'), ('colaborativas', 'O'), ('.', 'O')]More infoDocumentation on how to usepylazaroinRead the docs.The code is available onGitHub.pylazarogives access to the models described onthis ACL paperQuestions? Bugs? Requests? Ideas? Feel free to reach mevia email, opena GitHub issueor ping meon Twitter.
Package: py-lazy-vin
PyLazyVinA quick and dirty python library for lazily handling random VINs.Free software: MIT licenseDocumentation:https://py-lazy-vin.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.0.1 (2019-03-21)First release on PyPI.
Package: pylbm
pylbmpylbm is an all-in-one package for numerical simulations using Lattice Boltzmann solvers.This package gives all the tools to describe your lattice Boltzmann scheme in 1D, 2D and 3D problems.We choose the D’Humières formalism to describe the problem. You can have complex geometry with a set of simple shape like circle, sphere, …pylbm performs the numerical scheme using Cython, NumPy or Loo.py from the scheme and the domain given by the user. Pythran and Numba wiil be available soon. pylbm has MPI support with mpi4py.InstallationYou can install pylbm in several waysWith mamba or condamambainstallpylbm-cconda-forgecondainstallpylbm-cconda-forgeWith Pypipip install pylbmorpip install pylbm --userFrom sourceYou can also clone the project and install the latest versiongit clone https://github.com/pylbm/pylbmTo install pylbm from source, we encourage you to create a fresh environment using conda.conda create -n pylbm_env pythonAs mentioned at the end of the creation of this environment, you can activate it
using the comamnd lineconda activate pylbm_envNow, you just have to go into the pylbm directory that you cloned and install
the dependenciesconda install --file requirements-dev.txt -c conda-forgeand then, install pylbmpython setup.py installFor more information about what you can achieve with pylbm, take a look at the documentationhttp://pylbm.readthedocs.io
Package: pylc3.autograder
Autograder framework for LC-3, based off liblc3 and pylc3.coreExports test results in JSON. JSON output format is configurable.
Note that this doesn’t export a grade in the JSON. A user script can then easily parse the
JSON and then assign points per each assertion passed.For autograder examples seehttps://github.com/complx-tools/pylc3.autograder.examplesFree software: GNU General Public License v3Documentation:https://pylc3.autograder.readthedocs.io.InstallationInstall python, boost-python (should be compiled with your version of Python) and castxml.$ sudoadd-apt-repositoryppa:tricksterguy87/complx$ sudo apt update$ sudoapt-getinstall-ybuild-essentialcmakelibboost-python-devcastxmlpython-pipliblc3-devIt is suggested to also install liblc3-plugins.Install scikit-build and dependencies for pylc3.core$ sudo pip installscikit-buildpygccxml pyplusplusInstall this package from PyPI:$ sudo pip install pylc3.autograderImport it in Python:import pylc3.autograder
Package: pylc3.core
Python bindings for liblc3, the LC-3 simulator library behind complx.Free software: GNU General Public License v3Documentation:https://pylc3.core.readthedocs.io.InstallationInstall python, boost-python (should be compiled with your version of Python) and castxml.$ sudoadd-apt-repositoryppa:tricksterguy87/complx$ sudo apt update$ sudoapt-getinstall-ybuild-essentialcmakelibboost-python-devcastxmlpython-pipliblc3-devInstall scikit-build and dependencies$ sudo pip installscikit-buildpygccxml pyplusplusInstall this package from PyPI:$ sudo pip install pylc3.coreRun ldconfig$ sudo ldconfigImport it in Python:import pylc3.core
Package: pylcanim
pylcanimpylcanim is a simple library for playing animations made with sprite factory(https://github.com/craftworkgames/SpriteFactory)Installation of pylcanim libraryTo install from pypi with pippip install pylcanimDownloading SpriteFactoryYou can directly download the executable(note: At this point this is windows only)
From:https://craftworkgames.itch.io/sprite-factoryOr build it yourself
From:https://github.com/craftworkgames/SpriteFactoryUsing SpriteFactoryYou can see this videohttps://youtu.be/mSakKpmBjrg(time stamp in description)Using the libraryimport the pylcanim into your project withfrompylcanimimportpylcanimThen initialize the library withpylcanim.init('Path/To/Your/SpriteFactoryFile.sf')In your main loop writeimage=pylcanim.lcAnim(fpscount,row)Wherefpscount is an integer which determines how fast your animation should run(0 is fastest and becomes slower increasingly)androw is the row number in which your sprite is situated(default=0 for single line spritesheets)An entire Exampleimportpygamefrompylcanimimportpylcanimasp(width,height)=(300,200)clock=pygame.time.Clock()screen=pygame.display.set_mode((width,height))pygame.display.flip()running=Truep.init('run.sf')whilerunning:image=p.lcAnim(3,0)foreventinpygame.event.get():ifevent.type==pygame.QUIT:running=Falsescreen.fill((255,255,255))screen.blit(image,(0,50))pygame.display.update()clock.tick(60)pygame.quit()
Package: pylcddc
pylcddcA python library for interfacing withLCDd, the server
component of the commonly knownLCDprocFeatures:Object-oriented interface support for all nativeLCDdwidgetsFull frame support, nest widget objects in frames, treat frames
like widget containersSupport for user-created composite widgets, that can be used just
like native widgets (no easy API for now, changes to come later)Decoupled thread to serviceLCDdscreen switching responsesOne I/O method to update screen, no funky exception handling everywhereInstallationpip install pylcddcMore TODOsSeeTODO.mdfor more information and TODOsVersion supportTested onLCDdpackaged withLCDprocversion0.5.9Protocol version0.3Modules for userspylcddc.client: client for LCDdpylcddc.screen: screens to attach to clientspylcddc.widgets: widgets to place in screenspylcddc.exceptions: exceptions raised by the libraryModules for developerspylcddc.responses: LCDd response decoder and abstractionspylcddc.commands: LCDd request generationExamplesDon't really use these for production code...See more examples in/demoSimple usage for static displayimportpylcddc.clientasclientimportpylcddc.widgetsaswidgetsimportpylcddc.screenasscreentitle=widgets.Title('title_widget','Hello, World!')main_scr=screen.Screen('main',[title])c=client.Client('localhost',13666)c.add_screen(main_scr)input('Press any key to exit')c.close()Nest widgets in framesimportpylcddc.clientasclientimportpylcddc.widgetsaswidgetsimportpylcddc.screenasscreenimportplatformflavorful_text_widgets=[widgets.String(f'flv_tx{i}',1,1+i,text)fori,textinenumerate('now you see me\nnow you dont\nso scary\nsuch wow'.splitlines())]frame_top=widgets.Frame('frame_top',flavorful_text_widgets,1,1,10,1,10,4,widgets.Frame.Direction.VERTICAL,8)platform_text=widgets.Scroller('platform',1,2,20,1,widgets.Scroller.Direction.HORIZONTAL,1,'pylcddc running on '+' '.join(platform.uname()))main_scr=screen.Screen('main',[frame_top,platform_text])c=client.Client('localhost',13666)c.add_screen(main_scr)input('Press any key to exit')c.close()Simple timed display updates and display attributesimportpylcddc.clientasclientimportpylcddc.widgetsaswidgetsimportpylcddc.screenasscreenimportpylcddc.exceptionsaslcdexceptimporttimetime_string=widgets.Scroller('time',1,1,20,2,widgets.Scroller.Direction.HORIZONTAL,8,time.ctime())main_scr=screen.Screen('main',[time_string],heartbeat=screen.ScreenAttributeValues.Heartbeat.OFF)c=client.Client('localhost',13666)c.add_screen(main_scr)print('pylcdd time demo\nUse ^C to exit')try:whileTrue:time_string.text=time.ctime()c.update_screens([main_scr])print('updated time to: ',time.ctime())time.sleep(0.1)exceptlcdexcept.RequestErrorase:print('LCDd refused our request',e)exceptlcdexcept.FatalErrorase:print('pylcddc fatal internal error',e)exceptKeyboardInterrupt:print('exitting')c.close()# there might be exceptions from OS system call failures hereLicensingSeeLICENSE.txtfor more details
Package: pylcount
PyLcountPyLcount (python line count) is a line counter written in python that can count the lines with differentsearch optionsusing a command line interface.Use pip to installpylcount:pip install pylcountHow to useYou must use thepylcountcommand to be able to count the lines in a single file or in a directory using thecountargument. Here is an example:pylcount count ./pylcountOr in just one file:pylcount count ./pylcount/counter.pyYou can also filter some files by their extension using the--extflag, or ignore directories and files using the--ignoreflag:pylcount count ./pylcount --ignore ./venv --ext .py .mdIn the above command, we are ignoring thevenvdirectory and only getting the files with the.pyand.mdextensions.LicenseThis project uses theMIT License,see the LICENSEfile in the root of the project for more information.
Package: pylda2vec
# lda2vecTable of Contents[Installation](#installation)[License](#license)## Installationlda2vec is distributed on [PyPI](https://pypi.org) as a universal
wheel and is available on Linux/macOS and Windows and supports
Python 3.6+.`bash $ pip install lda2vec `## Licenselda2vec is distributed under the terms of the
[MIT License](https://choosealicense.com/licenses/mit).
Package: pyldap
The pyldap fork was merged back into python-ldap,
and released as python-ldap 3.0.0.Development continues at:https://github.com/python-ldap/python-ldap/Documentation is available at:https://python-ldap.org/To install the new code, use:pip install python-ldapPackage pyldap 3.0 now exists only to require python-ldap.WarningUnfortunately, due topip bug 4961, upgrading from previous versions
usingpipmakes theldapmodule unimportable.Instead of upgrading, please replacepyldapbypython-ldapin two separate steps:python -m pip uninstall pyldap
python -m pip install python-ldapIf upgraded already issue, you can fix your environment by uninstalling
and reinstallingpython-ldap:python -m pip uninstall python-ldap
python -m pip install python-ldapWe are sorry for the inconvenience.
If you have a better solution, please join the discussion atpyldap bug 148.
Package: pyLDAvis
Python library for interactive topic model visualization.
This is a port of the fabulousR packagebyCarson SievertandKenny Shirley.pyLDAvisis designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.Note: LDA stands forlatent Dirichlet allocation.InstallationStable version using pip:pip install pyldavisDevelopment version on GitHubClone the repository and runpython setup.pyUsageThe best way to learn how to usepyLDAvisis to see it in action.
Check out thisnotebook for an overview.
Refer to thedocumentationfor details.For a concise explanation of the visualization see thisvignettefrom the LDAvis R package.Video demosBen Mabey walked through the visualization in this short talk using a Hacker News corpus:Visualizing Topic ModelsNotebook and visualization used in the demoSlide deckCarson Sievertcreated a video demoing the R package. The visualization is the same and so it applies equally to pyLDAvis:Visualizing & Exploring the Twenty Newsgroup DataMore documentationTo read about the methodology behind pyLDAvis, seethe original
paper,
which was presented at the2014 ACL Workshop on Interactive Language
Learning, Visualization, and
Interfacesin Baltimore
on June 27, 2014.
Package: pyldb
pyLDB - Python interface to the Live Departure BoardsA simple library for getting live departure boards from the National Rail Enquiries Darwin service (via OpenLDBWS). Designed to wrap the SOAP code with a simple interface.This library is currently minimal but functional. Seesample/get_board.pyfor an example of how to retrieve the current departure board for a station and render it to an HTML page.To run this code you will need your own access token which you have to get from National Rail Enquiries.If you're not in the UK or not interested in train data from the UK, this code probably won't help you.TechnicalThis library relies on two others: suds to do a SOAP call into the LDBWS service, and jinja2 for the HTML templating.SOAP is a framework for remote APIs, typically over HTTP but other transport layers are supported, which predates REST. It uses XML, and relies on XML documents in a WSDL language to define the specifics of the API, including function signatures and all the custom types used by the API. It's usually a bit more complicated to setup a SOAP connection than to hit a REST api, but the use of strong types can make them very powerful. The code in this library provides a minimal proof of concept of how to retrieve live departure board data from the SOAP service using Python. For some peope that might be all you need.Due to the choice of a port of suds to Python 3, this library does not currently work at all with Python 2. It is testing with Python versions 3.4, 3.5 and 3.6.Jinja2 is an awesome templating library for Python which is used in Flask and Ansible among many other projects. Its use here is straightforward, and if you look at the basic HTML template, you can probably figure out how to write a template for either a differently structured HTML document, or a different document type altogether.National Rail Enquiries is a UK organization which provides information about train times and fares on the National Rail system. The Live Departure Board service is a web API which shows trains scheduled to depart from a given station, along with information about their expected departure times, etc. This is the same data, updated live, which is used in mapping apps - since 2015 it is also the same data shown on departure boards in train stations, since these boards also rely on the same API.See alsoThis code is libre software and might help you get your own project working. There are several other projects which get train departure boards using Python:helenst/train-times-displayScrapes the NRE website and writes to a LCD display.grundleborg/nrewebservicesA library which works with Python 2 and 3. Usessuds-jurko.robert-b-clarke/nre-darwin-pyAn 'abstraction layerfor LDBWS. Also usessuds-jurko`, also Python 2 and 3.Diaolou/PiTrainsUsesnre-darwin-py(above) to display train departures on a Raspberry Pi using LEDs.ImportantNational Rail Enquiries is the data provider for the API which this code wraps. However, this library is not approved, endorsed or supported by National Rail Enquiries. Information about Darwin Data Feeds provided by NRE (of which LDBWS is one) is at (https://www.nationalrail.co.uk/100296.aspx).
Package: pyldcn
Python-native implementation of LdcnLibThis is a basic python-native implementation of LdcnLib. It implements some Ldcn and stepper methods. It solely relies on the packagepyserial.Ldcn methodsThe following Ldcn methods were implemented.MethodDescriptionLdcnHardResetResets all devices (broadcast)LdcnSendCmdSend command to deviceLdcnInitInitialize network using default group 0xFFLdcnShutdownStop motor, delete devices (reinit necessary)LdcnGetDeviceIdReturnsdevice, devidforaddrLdcnGetDeviceReturnsdeviceforaddrLdcnGetStatReturns device statusLdcnGetStatItemsReturns configured statusitemsLdcnReadStatusReads local device statusStepper methodsThe following Stepper methods were implemented.MethodDescriptionGetSteppersReturns addresses of discovered stepper devicesStepStopMotorSetup stop behaviourStepSetParamSets motor operation parametersStepLoadTrajSet-up and start movementStepResetPosReset motor position to 0UsageTo find out how the methods are used, either check LdcnLib documentation or example given indemo.py.DisclaimerUsage at yourown risk, the implementation isneither complete nor well tested.
Package: pyLDLE2
pyLDLE2pyLDLE2 provides an implementation of our manifold learning algorithmLDLEand several variations of it.InstallationInstall pyLDLE2 by running:python3 -m pip install pyLDLE2ContributeIssue Tracker: github.com/chiggum/pyLDLE2/issuesSource Code: github.com/chiggum/pyLDLE2Documentationhttps://pyldle2.readthedocs.io/en/latest/Citation@article{JMLR:v22:21-0131,
  author  = {Dhruv Kohli and Alexander Cloninger and Gal Mishne},
  title   = {LDLE: Low Distortion Local Eigenmaps},
  journal = {Journal of Machine Learning Research},
  year    = {2021},
  volume  = {22},
  number  = {282},
  pages   = {1-64},
  url     = {http://jmlr.org/papers/v22/21-0131.html}
}
Package: py-ldnlib
This is an implementation of a python3-basedLinked Data Notificationsender and consumer.Installingpip installpy-ldnlibAdding an LDN sender to your codeA simple LDN Sender could be written as:import ldnlib

sender = ldnlib.Sender()

inbox = sender.discover(target_resource)

if inbox is not None:
    sender.send(inbox, data)Thedatavalue may be a string, a dictionary, a list or anrdflib-based Graph.Adding an LDN consumer to your codeA simple LDN Consumer could be written as:import ldnlib

consumer = ldnlib.Consumer()

inbox = consumer.discover(target_resource)

if inbox is not None:
    for iri in consumer.notifications(inbox):
        // fetch the notification as a Python dictionary
        notification = consumer.notification(iri)AuthenticationIf the target-resource or inbox-resource requires authentication, anauthtuple may be supplied:import ldnlib

sender = ldnlib.Sender()

inbox = sender.discover(target_resource, auth=(username, password))

if inbox is not None:
    sender.send(inbox, data, auth=(username, password))MaintainerAaron Coburn
Package: pyldpc
Simulation of LDPC Codes & Applicationsversion 0.7.9Description:Simulation of regular LDPC codes.Probabilistic decoding: Belief Propagation algorithm for gaussian white noise transmission.Simulation application to image and audio data.Image coding-decoding example:An example of coding-decoding is available atthe pyldpc webpage.InstallationIf you already have a working Python environment (Anaconda for e.g):pip install --upgrade pyldpcOtherwise, we recommend creating this minimalconda envconda env create --file environment.yml
conda activate pyldpc-env
pip install -U pyldpcExample>>>importnumpyasnp>>>frompyldpcimportmake_ldpc,encode,decode,get_message>>>n=15>>>d_v=4>>>d_c=5>>>snr=20>>>H,G=make_ldpc(n,d_v,d_c,systematic=True,sparse=True)>>>k=G.shape[1]>>>v=np.random.randint(2,size=k)>>>y=encode(G,v,snr)>>>d=decode(H,y,snr)>>>x=get_message(G,d)>>>assertabs(x-v).sum()==0DocumentationFor more examples, seethe pyldpc webpage.
Package: pyldplayer
pyldplayerpython wrapper for ldplayerInstallationpipinstallpyldplayerusageyou can refer tocli docfor all optionsin addition, this library also supports loading record, keyboard mapping into pydantic dataclassesfromtimeimportsleepfrompyldplayerimportLDAutoGuifrompyldplayerimportLDConsolex=LDConsole("xxxxxxxxxxxxxxxxxxxxx")autox=LDAutoGui(x)w=x[3]w.launch()autow=autox.waitFor(3)autow.screenshot()oprr=autow.operationRecorder()oprr.runScript(3)changelogfixed instance will be terminated if script endedfixed unsanitized query resultsfully documented
Package: pyldr
Usage: Users are required to provide classes Algs and Simulator to SIM. Algs should inherit from algs. In the following example, we provide piecewise_linear(Algs) and SIM_Resolve_First(Simulator) to SIM. SIM.update() will solve the model, while SIM.avg(n) return simulation results.Example:from SIM import *from SIM_Resolve_First import *from piecewise_linear import *case = SIM_Resolve_First()algs = piecewise_linear()sim = SIM(case,algs)sim.update()#sim.train_mab()print sim.avg(1000)Structure of Algs and Simulator:SIM:The only requirement of Simulator is having a function sim() to return a realization. If there are any parameters, they should be implemented in set_para(). SIM_Resolve_First.py and SIM_ALP.py are examples.Algs:Interfaces you should provide include lift_value(),relation(),strategy() and update(). Also, lifting method should be described in the class.Example of Piecewise Linear:for t in range(self.T):for j in range(self.J):for k in range(self.div_num):self.div_axis[t,j,k] = self.low_bound[t,j] + (self.up_bound[t,j]-self.low_bound[t,j])/float(self.div_num - 1) * kself.xi[t,j,k] = self.script.add_var(0,self.div_axis[t,j,k])for t in range(self.T):for j in range(self.J):left = {}for k in range(self.div_num):left[self.xi[t,j,k]] = 1right = {}right[self.constant] = 1self.script.add_lin_equ(left,right)for k in range(self.div_num):self.script.add_lin_greater({self.xi[t,j,k]:1},{self.constant:0})for t in range(self.T):for j in range(self.J):left = {self.xi[t,j]:1}right = {}for k in range(self.div_num):right[self.xi[t,j,k]] = self.div_axis[t,j,k]self.script.add_lin_equ(left,right)lift_value(data):return lift value for a realization.relation():set up dependence self.P for items. For example, if decision X(t,j) depends on first three elements of lifted vector, then self.P[t,j] = {1,2,3}strategy(t,history,x):return strategy at stage t with history and optimized decision variable x.update():update lifting methods.piecewise_linear.py and tri_linear.py are examples of Algs.
Package: pyldsdk
pyldsdkPyLDSDK (Python Logix Designer SDK) is a simple wrapper for some of the features available in Rockwell Automation's Logix Designer SDK v1.01.00.Use at your own risk.InstallationTo install from pip:pip install pyldsdkTo upgrade from pip:pip install pyldsdk --upgradeSince I cannot redistribute the C# client packaged with the Logix Designer SDK, there is a second step required to get started.  Copy all of the following files to a common directory (ex: C:\YourDllPath).  Then when using pyldsdk, reference that path (and more specifically the *CSClient.dll) as shown in the Examples section.There is probably a better way, but I found it easiest to compile any of the SDK's sample projects and copy these from the resulting Debug folder.FtspAdapter.exeGoogle.Protobuf.dllGrpc.Core.Api.dllGrpc.Net.Client.dllGrpc.Net.Common.dllMicrosoft.Extensions.Logging.Abstractions.dllNewtonsoft.Json.dllRockwellAutomation.LogixDesigner.LogixProject.CSClient.dllBasic ExamplesUse the download function to transfer an *.ACD file to the PLC:frompyldsdkimportLogixProjectproj=LogixProject('C:\\YourDllPath\\RockwellAutomation.LogixDesigner.LogixProject.CSClient.DLL')proj.download('C:\\YourFolder\\YourProgram.ACD','YourDriver\\YourControllerIpAddress')Use the upload function to transfer an *.ACD file from the PLC:frompyldsdkimportLogixProjectproj=LogixProject('C:\\YourDllPath\\RockwellAutomation.LogixDesigner.LogixProject.CSClient.DLL')proj.upload_new('C:\\YourFolder\\YourProgram.ACD','YourDriver\\YourControllerIpAddress')