Saravanan666/pypi-org huggingface dataset:
Package: loomengine-worker
What is loom?Loom is a platform-independent tool to create, execute, track, and share workflows.Why use Loom?Ease of useLoom runs out-of-the-box locally or in the cloud.Repeatable analysisLoom makes sure you can repeat your analysis months and years down the road after you’ve lost your notebook, your data analyst has found a new job, and your server has had a major OS version upgrade.Loom uses Docker to reproduce your runtime environment, records file hashes to verify analysis inputs, and keeps fully reproducible records of your work.Traceable resultsLoom remembers anything you ever run and can tell you exactly how each result was produced.Portability between platformsExactly the same workflow can be run on your laptop or on a public cloud service.Open architectureNot only is Loom open source and free to use, it uses an inside-out architecture that minimizes lock-in and lets you easily share your work with other people.Write your results to a traditional filesystem or object store and browse them outside of LoomPublish your tools as Docker imagesPublish your workflows as simple, human-readable documentsCollaborate by sharing your workflows and results between Loom serversConnect Loom to multiple file stores without creating redundant copiesEfficient re-use of results for redundant analysis stepsHow many times do you really need to run the same analysis on the same inputs? Loom knows which steps in your workflow have already been run and seamlessly integrates previous results with the current run, while still maintaining data provenance and traceability.Graphical user interfaceWhile you may want to automate your analysis from the command line, a graphical user interface is useful for interactively browsing workflows and results.Security and complianceLoom is designed with clinical compliance in mind.Who needs Loom?Loom is built for the kind of workflows that bioinformaticians run – multi-step analyses with large data files passed between steps. But nothing about Loom is specific to bioinformatics.Loom is scalable and supports individual analysts or large institutions.Get startedCheck out our Getting Started Guide and give Loom a try.http://loom.readthedocs.io/en/latest/installing.htmlWhat is the current status?Loom is under active development. To get involved, contactinfo@loomengine.orgContributorsNathan HammondIsaac Liao
Package: loom-etl
Ethereum ETLEthereum ETL lets you convert blockchain data into convenient formats like CSVs and relational databases.Do you just want to query Ethereum data right away? Use thepublic dataset in BigQuery.Full documentation available here.QuickstartInstall Ethereum ETL:pip3installethereum-etlExport blocks and transactions (Schema,Reference):>ethereumetlexport_blocks_and_transactions--start-block0--end-block500000\--blocks-outputblocks.csv--transactions-outputtransactions.csv\--provider-urihttps://mainnet.infura.io/v3/239a1d18eba14f0f9dc1c882de0dc872Export ERC20 and ERC721 transfers (Schema,Reference):>ethereumetlexport_token_transfers--start-block0--end-block500000\--provider-urifile://$HOME/Library/Ethereum/geth.ipc--outputtoken_transfers.csvExport traces (Schema,Reference):>ethereumetlexport_traces--start-block0--end-block500000\--provider-urifile://$HOME/Library/Ethereum/parity.ipc--outputtraces.csvStream blocks, transactions, logs, token_transfers continually to console (Reference):>pip3installethereum-etl[streaming]>ethereumetlstream--start-block500000-eblock,transaction,log,token_transfer--log-filelog.txt\--provider-urihttps://mainnet.infura.io/v3/239a1d18eba14f0f9dc1c882de0dc872Find other commandshere.For the latest version, check out the repo and call>pip3install-e.>python3ethereumetl.pyUseful LinksSchemaCommand ReferenceDocumentationExporting the BlockchainQuerying in Amazon AthenaQuerying in Google BigQueryQuerying in KaggleAirflow DAGsPostgres ETLRunning Tests>pip3install-e.[dev,streaming]>exportETHEREUM_ETL_RUN_SLOW_TESTS=True
>pytest-vvRunning Tox Tests>pip3installtox
>toxRunning in DockerInstall Dockerhttps://docs.docker.com/install/Build a docker image> docker build -t ethereum-etl:latest .
 > docker image lsRun a container out of the image> docker run -v $HOME/output:/ethereum-etl/output ethereum-etl:latest export_all -s 0 -e 5499999 -b 100000 -p https://mainnet.infura.io
 > docker run -v $HOME/output:/ethereum-etl/output ethereum-etl:latest export_all -s 2018-01-01 -e 2018-01-01 -p https://mainnet.infura.ioRun streaming to console or Pub/Sub> docker build -t ethereum-etl:latest -f Dockerfile .
 > echo "Stream to console"
 > docker run ethereum-etl:latest stream --start-block 500000 --log-file log.txt
 > echo "Stream to Pub/Sub"
 > docker run -v /path_to_credentials_file/:/ethereum-etl/ --env GOOGLE_APPLICATION_CREDENTIALS=/ethereum-etl/credentials_file.json ethereum-etl:latest stream --start-block 500000 --output projects/<your-project>/topics/crypto_ethereumProjects using Ethereum ETLGoogle- Public BigQuery Ethereum datasetsNansen by D5- Analytics platform for Ethereum
Package: loomxpy
Python package (compatible with SCope) to create .loom files and extend them with other data e.g.: SCENIC regulonsPython package containing code for Loom files generation.Free software: MITDocumentation:https://loomxpy.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand thebriggySmalls/cookiecutter-pypackageproject template.
Package: loongwissawakorn
# Loong Wissawakornตัวอย่างการอัพโหลดโปรเจคแสดงชื่อเราเองฝึกอัพโหลด### Installation
วิธีติดตั้งทำการนี้เลย เปิด cmd แล้ว`sh pip install loongwissawakorn `
Package: looo.py
Loopy lets you easily generate the tedious, complicated code that is necessary
to get good performance out of GPUs and multi-core CPUs.
Loopy’s core idea is that a computation should be described simply and thentransformedinto a version that gets high performance. This transformation
takes place under user control, from within Python.It can capture the following types of optimizations:Vector and multi-core parallelism in the OpenCL/CUDA modelData layout transformations (structure of arrays to array of structures)Loop unrollingLoop tiling with efficient handling of boundary casesPrefetching/copy optimizationsInstruction level parallelismand many moreLoopy targets array-type computations, such as the following:dense linear algebra,convolutions,n-body interactions,PDE solvers, such as finite element, finite difference, and
Fast-Multipole-type computationsIt is not (and does not want to be) a general-purpose programming language.Loopy is licensed under the liberalMIT licenseand free for commercial, academic,
and private use. All of Loopy’s dependencies can be automatically installed from
the package index after using:pip install loo.pyIn addition, Loopy is compatible with and enhancespyopencl.—Places on the web related to Loopy:Python package index(download releases) Note the extra ‘.’ in the PyPI identifier!Documentation(read how things work)Github(get latest source code, file bugs)Wiki(read installation tips, get examples, read FAQ)Homepage
Package: loopback
loopbackThread manager and decorator for asynchronous background function executionSimple usage in code:from loopback import manager, loop
from time import sleep

@loop(manager, interval = 1)
def threaded_function(arg):
    print("running ")
    sleep(arg)
    return 'OK'


while True:
    print(threaded_function(4))
    sleep(1)Source Code:https://github.com/vpuhoff/loopbackTravis CI Deploys:https://travis-ci.com/vpuhoff/loopback
Package: loop-calc
Welcome to loop-calc 👋This program evaluates loop programs as described in the lectureGrundlagen der theoretischen Informatik 2.This software is written in python using pyparsing for language parsing.Install$pipinstallloop-calcUsageTo display all registers and steps of a loop program, run$loop-calc--debug./path/to/program.loopYou can view all available options with$loop-calc--helpHave a look at the/examplesfolder for a Fibonacci implementation in loop.Author👤Fin ChristensenTwitter:@fin_ger_githubMastodon:@fin_ger@mastodon.socialGithub:@fin-ger🤝 ContributingContributions, issues and feature requests are welcome!Feel free to checkissues page.Show your supportGive a ⭐️ if this project helped you!📝 LicenseCopyright © 2019Fin Christensen.This project isGPL-2.0licensed.This README was generated with ❤️ byreadme-md-generator
Package: loop-destroyer
loop-destroyerA loop destroyer, in a similar vein of William Basinsky.Requirementssox, which you can download from heresox.sourceforge(optionally)ffmpeg, to generate a spectrogram video; you can download it fromgithubInstallationpip install --user loop-destroyerHow does it sound?Listen onyoutube!Usage exampleSuppose you have the following directory hierarchy:.
├── samples-piano
    ├── piano-01.wav
    ├── piano-02.wav
    ├── piano-03.wav
    └── piano-04.wavThe simplest way to destroy these samples is:loop-destroyer -o out_dir --quiet samples-piano/This command will take each sample, repeat it a number of times (progressively destroying it), and then mix this "degradation chain" with the degradation chains from the other samples.The resulting directory structure will be:.
├── out_dir
│   ├── disintegrated.mp3
│   ├── piano-01.wav
│   ├── piano-02.wav
│   ├── piano-03.wav
│   └── piano-04.wav
└── samples-piano
	├── piano-01.wav
	├── piano-02.wav
	├── piano-03.wav
	└── piano-04.wavout_dircontains the disintegrated mix (disintegrated.mp3) and the various degradation chains (named after the sample they destroyed, eg.piano-01.wav).
Package: loopdetect
LoopDetect - comprehensive detection of feedback loops in ODE modelsScopeThis Python package provides a handy framework to determine feedback loops (cycles, circuits)
in ordinary differential equation (ODE) models.
Feedback loops are paths from one node (variable) to itself without
visiting any other node twice, and they have important regulatory functions.
Together with the loop length it is also reported whether the loop is a positive
or a negative feedback loop. An upper limit of the number of feedback loops can
be entered to limit the runtime (which scales with feedback loop count). Model
parametrizations and values of the modelled variables are accounted for. Input
can be the Jacobian matrix of the ODE model or the function definition.
Graph-based algorithms from networkx are employed for path detection, numdifftools is used for
computing the Jacobian and pandas dataframes are used as output format.InstallationInstall the package with pip; within a terminal window, typepipinstallloopdetectDepending on your pip installation, you may be required to use pip3 as command instead.In order to use functions from LoopDetect within Python, call# core functionsimportloopdetect.core# examplesimportloopdetect.examplesLoopDetect is tested for Python 3, especially with Python version 3.8, but could also run with older Python versions.In addition, LoopDetect can be found onGitLab.Workflow and documentationFunction documentation is available on the LoopDetect pages,https://kabaum.gitlab.io/loopdetect/. There, you can also find a detailedworkflow description.LicensingAll code is licensed under the 3-clause BSD license, LoopDetect, Copyright (C) 2020  Katharina Baum.
Package: loopers
LoopersLoopersis a tiny script used in scrapping emails out of a web page.FunctionsScraps emails from web pageAllow checking first level subdirectories of a pageRequirementsPython 3.x or 2.xWorking internetRequestsBeautifulSoupInstallationInstall loopers by entering this command in your terminalpip install loopersArgument(s)Pass string(s) of links you want to scrap.UsageImport looper to your codes.from loopers import loop
data = loop("https://nairaland.com", "https://twitter.com", "https://linkedin.com")The functions returns a dictionary with the url(s) as key(s) which are also
dictionaries with the following keysemails: List of emails found in the page
n_links: Number of links in the scrapped page
links: Links generated from the pageEndnoteIf at all there is an issue raised during execution of the command, kindly raise an issue here or better stillmail me atakeremukhtar10@gmail.com.
Thanks for your time.
Package: loopfield
loopfield: compute vector magnetic fields induced by filamentary current loopsloopfile.plot: plot simple 2D visualizations of fields with field lines and thresholded regionsSimple example: calculate field due to single current loop:#!/usr/bin/env python3import loopfield as lf# create empty field with specified unitsfield = lf.Field(length_units = lf.cm,current_units = lf.A,field_units = lf.uT)# single-turn 10 cm x-oriented coil at originposition = [0., 0., 0.]normal = [1., 0., 0.]radius = 10.current = 1.c = lf.Loop(position, normal, radius, current)# add loop to fieldfield.addLoop(c);# evaluate vector field at originB = field.evaluate([0., 0., 0.])print('B = ', B)See examples for more usage details.Uses the formulas presented in:Simpson J., Lane J., Immer C., Youngquist R., Steinrock, T., SimpleAnalytic Expressions for the Magnetic Field of a Circular CurrentLoop. NASA Technical Report. 2001.  Retrieved fromhttp://ntrs.nasa.gov/search.jsp?R=20010038494
Package: loop-grpc-client
pool-grpc-clientA python grpc client for Lightning Pool (Lightning Network Daemon) ⚡⚡⚡This is a wrapper around the default grpc interface that handles setting up credentials (including macaroons.DependenciesPython 3.6+Working LND lightning node, take note of its ip address.Copy your pool.macaroon and tls.cert files from~/.pool/mainnetto a directoy on your machine.Installation# NOT ON PYPI YETpipinstallpool-grpc-clientBasic UsageThe api mirrors the underlying lnd grpc api (http://api.lightning.community/) but methods will be in pep8 style. ie..GetInfo()becomes.get_info().frompathlibimportPathimportjsonfrompoolgrpc.clientimportPoolClientcredential_path=Path("/home/skorn/.pool/mainnet/")mac=str(credential_path.joinpath("pool.macaroon").absolute())tls=str(credential_path.joinpath("tls.cert").absolute())pool=PoolClient(macaroon_filepath=mac,cert_filepath=tls)pool.get_info()pool.get_lsat_tokens()Specifying Macaroon/Cert filesBy default the client will attempt to lookup thereadonly.macaronandtls.certfiles in the mainnet directory.
However if you want to specify a different macaroon or different path you can pass in the filepath explicitly.lnd=LNDClient(macaroon_filepath='~/.lnd/invoice.macaroon',cert_filepath='path/to/tls.cert')Generating LND Proto Filesvirtualenvlndsourcelnd/bin/activate
pipinstallgrpciogrpcio-toolsgoogleapis-common-protossh
gitclonehttps://github.com/lightningnetwork/lnd.git
mkdirgenprotos
gitclonehttps://github.com/googleapis/googleapis.git# python -m grpc_tools.protoc --proto_path=googleapis:. --python_out=. --grpc_python_out=. rpc.protofrompathlibimportPathimportshutilimportshimportsysimportreimportosloop_dir=Path.home().joinpath("Documents/lightning/loop")grpc_client_dir=Path.home().joinpath("Documents/lightning/loop-grpc-client")os.chdir(grpc_client_dir)ifnotall([loop_dir.exists(),grpc_client_dir.exists()]):print("Error: Double check that the paths exist!")sys.exit(1)forprotoinlist(loop_dir.rglob("**/*.proto")):shutil.copy(proto,grpc_client_dir.joinpath("loopgrpc/compiled/"))print(f"Copied:{proto.name}")# Modify auctioneer.proto from auctioneerrpc/auctioneer.proto --> poolgrpc/compiled/auctioneer.protoforprotoinlist(grpc_client_dir.joinpath("loopgrpc/compiled/").rglob("*.proto")):withopen(proto,'r+')asf:text=f.read()text=re.sub('import "swapserverrpc/common.proto";','import "loopgrpc/compiled/common.proto";',text)text=re.sub('import "common.proto";','import "loopgrpc/compiled/common.proto";',text)f.seek(0)f.write(text)f.truncate()protos=list(Path(".").joinpath("loopgrpc/compiled/").glob("*.proto"))args=["-m","grpc_tools.protoc","--proto_path=loopgrpc/compiled/googleapis:.","--python_out=.","--grpc_python_out=.",]forprotofileinprotos:args.append(str(protofile))# Generate the compiled protofilessh.python(args)Deploy to Test-PyPipoetrybuild
twinecheckdist/*
twineupload--repository-urlhttps://test.pypi.org/legacy/dist/*
Package: loophopper
A "fast-forward and rewind" custom iterator for flexible traversal through iterablesTested against Windows / Python 3.11 / Anacondapip install loophopperfromloophopperimportFFIter# Create an FFIter object for a range iterablel=FFIter(range(40),ignore_exceptions=True,exception_replacement=None)fornoinl:ifno%10==0:print(f"number:{no}, 2 forward:{l.forward(2)}")ifno%7==0:print(f"number:{no}, 1 back:{l.back(1)}")# Create an FFIter object for a dictionary iterablel=FFIter({k:k*2forkinrange(40)},ignore_exceptions=True,exception_replacement=None)fornoinl:ifno[0]%10==0:print(f"number:{no}, 2 forward:{l.forward(2)}")ifno[1]%7==0:print(f"number:{no}, 1 back:{l.back(1)}")l=FFIter({k:k*2forkinrange(40)},ignore_exceptions=True,exception_replacement=None)fornoinl:ifl.active_index%5==0:print(f'{l.active_index}:{no}')# number: 0, 2 forward: 2# number: 0, 1 back: None# number: 7, 1 back: 6# number: 10, 2 forward: 12# number: 14, 1 back: 13# number: 20, 2 forward: 22# number: 21, 1 back: 20# number: 28, 1 back: 27# number: 30, 2 forward: 32# number: 35, 1 back: 34# number: (0, 0), 2 forward: (2, 4)# number: (0, 0), 1 back: None# number: (7, 14), 1 back: (6, 12)# number: (10, 20), 2 forward: (12, 24)# number: (14, 28), 1 back: (13, 26)# number: (20, 40), 2 forward: (22, 44)# number: (21, 42), 1 back: (20, 40)# number: (28, 56), 1 back: (27, 54)# number: (30, 60), 2 forward: (32, 64)# number: (35, 70), 1 back: (34, 68)# 0: (0, 0)# 5: (5, 10)# 10: (10, 20)# 15: (15, 30)# 20: (20, 40)# 25: (25, 50)# 30: (30, 60)# 35: (35, 70)
Package: loopialib
This is an unofficial pythonic implementation ofLoopia’s API. The default implementation is
XMLRPC-based and leaves a lot of error handling to the end user. This
implementation wraps that API which manages responses for you.DocumentationThis is alpha state software, and I haven’t bothered with documentation yet.DevelopmentI have only implemented the features I need personally. As I need more features
I will add them. Pull requests are welcome.But, there is another project already!Yes,loopia by anderspeterssonand the similarloopiadnssync by Peter Lindblom.
The second does however use Loopia’s DynDNS API. I know these implementations
but rolled my own because I enjoy writing these kinds of libraries. Choose
whichever you like.ChangelogVersion 0.2.0Released 21 August 2017Added helpersplit_domainfor separating domain and sub-domainAdded support forgetDomainAdded support forgetDomainsFixed a problem where errors would not get raised on some types of API callsVersion 0.1.0Released 2nd November 2016Initial release
Package: loopie
loopieThis python framework is to provide a skeleton for managing a looping mainthread, with the ability of spawning childern threads that either loop of just do any other code and exit.The project is designed to create a commandline application to loop through a custom python code while creating a skeleton for each project similar to the Arduino sketch code; meaning, for a loop to run there should be a loop_setup routine and a loop_logic routine that will be called on every loop.One of the main uses of this project is to create a startup script (systemd) on a Raspberry Pi 2/3 that will run your custom python application, for example, to interact with the GPIO pins from the very start of the Pi.To interact with the mainloop, the framework features a built-in WSGI application (which is based onFlask) and awsgiserverwhich act as a simple UI for the mainloop athttp://localhost:8000/.  In addition, a JSON RPC (Flask-JSONRPC) service is added to the WSGI app to enable creating JSON APIs for your service.  By default, the url for the api service is preappend withhttp://localhost:8000/api/and include a browsable api page found herehttp://localhost:8000/api/browse/.This web server is enabled by default but can be disabled.  Additionally, you can use the included WSGI application to attach to any other server that supports WSGI.This package is written in Python 3.InstallationThe best option to install is throughpipby running the command:pip install loopieorsudo pip install loopieExampleimportloopieclassMyMain(loopie.MainLoop):def__init__(self,*args,**kwargs):super().__init__(*args,**kwargs)self.i=0defloop_logic(self):self.i+=1print(self.i)defimportRoutes(self):# You can override this method to import the route file or create your on url routessuper().importRoutes()@self.web_app.route('/hello')defhello(**kwargs):return'Hello from overridden importRoutes()'if__name__=='__main__':main=MyMain(name='main',enable_web_browsable_api=True)app=loopie.Application(main)main.importRoutes()@main.json_rpc.method('core.MyLoop(uuid=String) -> Object')defMyLoop(**kwargs):uuid=kwargs.pop('uuid','no uuid')returndict(app='loopie_test',status='running',i=main.i,uuid=uuid)app.start()print('application ended')
Package: looping
LoopingThis package containsEventLoopimplementations for various well known
event loops. TheEventLoopinterface is currently being defined in PEP3156[1]and the “Tulip” project[2].Curently supported event loops are:libuv (via pyuv)Qt (via PySide)This package supports Python 2.6, Python 2.7 and Python 3.2+.The event loops only implement the callback interface, so e.g.add_reader()and friends, thecall_soon()timer related functions, and theadd_signal_handler()signal related functions. The other parts of the event
loop interface requiretulip.Futurewhich in turn depends on theyield fromstatement. This is Python 3.3+ and is not supported in looping.UsageTheloopingpackage defines two event loops:PyUVEventLoop. This loop will be available if thepyuvpackage is
found.PySideEventLoop. This loop will be avaialble if thePySidepackage
is found.You can set a default loop for the current thread usingset_event_loop().LicenseThis package is licensed under the Apache 2 license (like tulip).[1]http://www.python.org/dev/peps/pep-3156/[2]https://code.google.com/p/tulip/
Package: looplog
LooplogLooplog is a simple helper to log processing done in a loop, catching errors and warnings to produce a readble
console output, both interactively and not.Quickly see how it looks with the demo.python-mlooplog.demoUsageDecorate you function with@looplog(items)like this.fromlooplogimportSKIP,looplog@looplog([1,2,3,4,5,6,7,8,"9",10,11.5,12,0,13,None,15])deffunc_basic(value):ifvalueisNone:returnSKIPifisinstance(value,float)andnotvalue.is_integer():warnings.warn("Input will be rounded !")10//value# [to stdout in realtime]# Starting loop `func_basic`# ..........!.X.-....X.print(func_basic.details())# ================================================================================# WARNING step_11: Input will be rounded !# ================================================================================# ERROR step_13: integer division or modulo by zero# ================================================================================# ERROR step_20: unsupported operand type(s) for //: 'int' and 'str'# ================================================================================print(func_basic.summary())# 17 ok / 1 warn / 2 err / 1 skipCheck the looplog docstring for some additional features (logging, limit, etc.).Contribute# install pre-commitpipinstallpre-commit
pre-commitinstall# run testspython-mtests