Saravanan666/pypi-org huggingface dataset:
Package: netseasy
This is a django gateway for the ‘Easy’ payment solution from Nets.
The EasyAPI is a REST-API and supports webhooks to send updates back to Django.InstallationFor the current stable version:pip install netseasyFor the development version:pip install -e git+git@gitlab.com:norsktest/netseasy.gitSetupYou need to set these values in your settings.py:EASY_CHECKOUT_URL = "https://test.checkout.dibspayment.eu/v1/checkout.js?v=1"
EASY_PAYMENT_URL = "https://test.api.dibspayment.eu/v1/payments/"
EASY_WEBHOOK_URL = "https://your.local.server/payment
EASY_CTX = EasyContext(<EASY_SECRET_KEY>, <EASY_CHECKOUT_KEY>')To test the solution in development, you must use a http tunnel using Ngrok (ngrok.com)
or similar in order to get the webhooks to work. Running in dev, the EASY_WEBHOOK_URL setting must
be set to your ngrok (or similar) address.
Package: netservice
netserviceA Python ToolBox for Python ProgrammersAuthor Website :https://netservice.shopFeaturesworks with Python 3.xto easypossibility to cache results$ pip3 install netserviceimport netservicenetservice.sendgmail(username='yourGmail', password='yourPassword', to='toGmail', text='yourText')Sending Gmailnetservice.qrcode(text='netservice.ir', Format='svg')Creating QRcode   # Formats are svg, eps, terminalprint(netservice.DNS(url='netservice.ir'))Website DNSnetservice.download(url='fileURL')Download a filenetservice.screensh()getting screen shotprint(netservice.myip())Your IPprint(netservice.timeNow())print(netservice.dateNow())Get Time And Dateget Information from netservicenetservice.authornetservice.websitenetservice.version
Package: netsgiro
netsgironetsgiro is a Python library for working withNetsAvtaleGiro and OCR Giro files.AvtaleGiro is a direct debit solution that is in widespread use in Norway, with
more than 15 000 companies offering it to their customers. OCR Giro is used by
Nets and Norwegian banks to update payees on recent deposits to their bank
accounts. In combination, AvtaleGiro and OCR Giro allows for a high level of
automation of invoicing and payment processing.The netsgiro library supports:Parsing AvtaleGiro agreementsCreating AvtaleGiro payment requestsCreating AvtaleGiro cancellationsParsing OCR Giro transactionsnetsgiro is available from PyPI. To install it, run:pip install netsgiroFor details and code examples, seethe netsgiro documentation.For further details, please refer to the officialAvtaleGiroandOCR Girodocumentation from Nets.LicenseCopyright 2017-2019Otovo AS. Licensed under the
Apache License, Version 2.0. See theLICENSEfile for the full license
text.Project resourcesDocumentationSource codeIssue tracker
Package: netshow-linux-lib
Netshow-linux is a Provider forNetshow, a Network
Abstraction Software. It is optimized to collect core networking data
from Linux devices that contain many interfaces.Netshow-linux has 2 main modules.netshowlibThis module contains other modules that are responsible for retrieving
network information from the Linux kernel and associated components.
This information is abstracted in mainly into interface types, like
bonds, bridges, bond members and so on.netshowNetshow modules are responsible for printing the network information
collected from thenetshowlibmodules. For example, theprint_ifacenetshow module takes interface information retrieved bynetshowlibmodules and abstracted in python objects and prints the
information in a human readable form.InstallationNetshow is available on Pypi.python.org. Use the newish PIP version like 7.0+ and runpip install netshow-linux-libContributingFork it.Create your feature branch (git checkout-bmy-new-feature).Commit your changes (git commit-am'Add some feature').Push to the branch (git push originmy-new-feature).Create new Pull Request.License and AuthorsAuthor:: Cumulus Networks Inc.Copyright:: 2015 Cumulus Networks Inc.Cumulus iconCumulus LinuxCumulus Linux is a software distribution that runs on top of industry
standard networking hardware. It enables the latest Linux applications
and automation tools on networking gear while delivering new levels of
innovation and ﬂexibility to the data center.For further details please see:cumulusnetworks.comThis project is licensed under the GNU General Public License, Version
2.0
Package: netsight.aspxauthplugin
ContentsIntroductionChangelog1.0.3 (2014-02-25)1.0.2 (2013-12-10)1.0.1 (2013-10-30)1.0 (2013-08-31)0.9 (2013-08-16)IntroductionChangelog1.0.3 (2014-02-25)Added in a 5 minute leeway on accepting the start time on tickets, to deal with clock skewRefactored tests to use PloneTestCase. Mocked time so we can check timestamps on cookies1.0.2 (2013-12-10)Read the cookie TTL from a buildout environment variable1.0.1 (2013-10-30)Read the cookie domain from a buildout environment variable1.0 (2013-08-31)Added an addition cookie ‘username’ to signal we have notified we need to create userIgnore calls to updateCredentials with something not a uuid.General cleanup0.9 (2013-08-16)First release for testing
Package: netskope
The Netskope module which provides a RESTful API that is
published using Swagger onhttps://<TENANT>.goskope.com/apidocs/ along with other
Netskope APIs.This module aims to provide a class hierarchy to simplify access to these
published APIs, performing the ‘heavy lifting’ whilst providing full access to
to their functionality. This is achieved by providing simple wrappers that enable
you to take the swagger documented object paths, fields and where appropriate
JSON body from the documentation and pass them to simple get, create, delete and
update methods. These methods simply return arequestsresponse object.Some basic configuration, such a base url and API key are read
from an ini file. An example of which is provided. When instantiating/initialising
this will read config.ini by default. Alternatively a path can be provided.For more detailed documentation please see:https://python-netskope.readthedocs.io/en/latest/PyPi:https://pypi.org/project/netskope/GitHub:https://github.com/neerdael-nl/python-netskopeAll feedback please tojneerdael@netskope.comThanksJohn Neerdael
Package: netsky
netskynot skynet, obviouslygetting startedpip install netskyCreate the~/.netsky/.envfile with valid Marvin environment variables.verify installationnetskyshould now be installed as a CLI tool:(venv)cody@dkdcsotnetsky%netskyUsage:netsky[OPTIONS]COMMAND[ARGS]...╭─Options─────────────────────────────────────────────────╮│--versionShowversion.││--install-completionInstallcompletionforthe││currentshell.││--show-completionShowcompletionforthe││currentshell,tocopyit││orcustomizethe││installation.││--helpShowthismessageandexit.│╰───────────────────────────────────────────────────────────╯╭─Commands────────────────────────────────────────────────╮│aiai││testtest│╰───────────────────────────────────────────────────────────╯Confirm commands work:(venv)cody@dkdcsotnetsky%netskytesttesting.ai:done...And invoke advanced ai commands:(venv)cody@dkdcsotnetsky%netskyainetsky.ai:accessto:netsky.aidemoto be linkednext stepsworld domination!
Package: netsnmpagent
python-netsnmpagent is a Python module that facilitates writing Net-SNMP
subagents in Python. Subagents connect to a locally running Master agent
(snmpd) over a Unix domain socket (eg. “/var/run/agentx/master”) and using the
AgentX protocol (RFC2741). They implement custom Management Information Base
(MIB) modules that extend the local node’s MIB tree. Usually, this requires
writing a MIB as well, ie. a text file that specifies the structure, names
and data types of the information within the MIB module.
Package: netsparker-api
A REST interface to NetsparkerDependencies:Netsparker Team or Enterprise License (Not working with standard license)Python 3.3+requests module (install via pip)The dependencies can be satisfied viapip install -r requirements.txtQuick Installpip install netsparker-apiAPI Documentations:https://www.netsparkercloud.com/docs/indexSome examples:Get your account information.fromnetsparker_apiimportNetsparker_Accountcredentials={"API_ROOT":"https://www.netsparkercloud.com/api/1.0/%s","USER_ID":"NETSPARKER CLOUD API USER_ID GOES HERE","API_TOKEN":"NETSPARKER CLOUD API API_TOKEN GOES HERE"}my_info=Netsparker_Account.Account.me(credentials)print(my_info)Schedules a scan to be launched in the future.fromnetsparker_apiimportNetsparker_Scanscredentials={"API_ROOT":"https://www.netsparkercloud.com/api/1.0/%s","USER_ID":"NETSPARKER CLOUD API USER_ID GOES HERE","API_TOKEN":"NETSPARKER CLOUD API API_TOKEN GOES HERE"}data={"Name":"Scheduled Scan-1","NextExecutionTime":"15/05/2020 10:20 PM","ScheduleRunType":"Weekly","CustomRecurrence":{"RepeatType":"Weeks","Interval":1,"EndingType":"Never","DaysOfWeek":["Friday"],"EndOn":"21/07/2022 10:42 PM"},"TargetUri":"http://php.testsparker.com/","Cookies":"name1=value1; name2=value2","CrawlAndAttack":"true","EnableHeuristicChecksInCustomUrlRewrite":"true",}schedule_scan=Netsparker_Scans.Scans.schedule(credentials,data)print(schedule_scan)Returns the custom report of a scan in the specified format.fromnetsparker_apiimportNetsparker_Scanscredentials={"API_ROOT":"https://www.netsparkercloud.com/api/1.0/%s","USER_ID":"NETSPARKER CLOUD API USER_ID GOES HERE","API_TOKEN":"NETSPARKER CLOUD API API_TOKEN GOES HERE"}data={"id":"8705818b4fc644a33957ab9c01765d06","reportName":"ScheduledScan-1Report ","onlyConfirmedVulnerabilities":"false","excludeIgnoreds":"false","reportFormat":"Json"}report_csv=Netsparker_Scans.Scans.custom_report(credentials,data)print(report_csv)Building modules:To build a package to install viapiporeasy_install, execute:python setup.py sdistThe resulting build will be in$PWD/dist/Netsparker_Rest_API-<version>.tar.gz
Package: netspec
netspecnetspecallows for the use of neural net emulators of astrophysical photon /
particle emission spectra to be trained and then fitted within3MLto
astrophysical spectral data. It is built offpytorchand usespytorch-lightningas the training interface.The network structure is adaptable and should be tuned to the need of the
simulation. Training data are derived from the outputs ofronswansonand utilities are
provided which pre-process the simulation output into suitable spaces for
efficient training. Once trained, models can be loaded in asastromodelsspectral function as used as any other model for spectral analysis.Free software: GNU General Public License v3Documentation:https://netspec.readthedocs.io.
Package: net-speed-checker
Net Speed Checkernet-speed-checker is a Python3 library for taking net speed measurements and persisting the measurements in RDBS.FeaturesInstallation$pipinstallnet-speed-checkerUsagepython3check_speed.py$PROCESS_NAME$DBMS$USER$SCHEMA$SERVER_PORT$PASSWORDorpython3check_speed.pylocal_devmysqladminmy_schemamysql-url.com:3306pa$$w0rdorpython3-c'from net_speed_checker import check_speed; check_speed.measure("local_dev", "mysql", "admin", "my_schema", "mysql-url.com:3306", "pa$$w0rd")'Schema DDLcreatetablespeed_measurement(idintauto_incrementprimarykey,client_namevarchar(100)null,client_ipvarchar(100)null,client_latfloatnull,client_lonfloatnull,client_ispvarchar(100)null,client_ccvarchar(100)null,server_urlvarchar(100)null,server_latfloatnull,server_lonfloatnull,server_ccvarchar(100)null,server_cityvarchar(100)null,server_pingfloatnull,uploadfloatnull,downloadfloatnull,timestampdatetimenotnull,successtinyint(1)notnull,messagevarchar(100)notnull);LicenseMIT
Package: netspeedlogger
Internet Speed Test LoggerA python library for keeping track of your internet speed over timeFree software: MITDocumentation:https://netspeedlogger.readthedocs.ioFeaturesEasily test your internet speed with (speedtest-cli)[https://github.com/sivel/speedtest-cli]Keep track of your internet speed over time(Streamlit)[https://streamlit.io/] application for visualizing resultsCreditsThis package was created withCookiecutterand thezillionare/cookiecutter-pypackageproject template.
Package: netspeedmonitor
Internet Speed MonitorI've been curious to see how my internet speed varies
during the day on my devices.
As such, I decided to start collecting data.QuickstartInstall the package:pipinstallnetspeedmonitorRun the app from the command line:netspeedmonitorappIf you'd like the app to run in the background:netspeedmonitorapp&Be sure to take note of the process ID (PID)
so that you can kill it as necessary.To view the monitor UI, go to your [localhost in the browser on port 8501
(http://localhost:8501).How this app worksUnderneath the hood, we use thespeedtest-clipackage
to send packets to Ookla's speed testing servers.
The results are then logged to aTinyDB.
To ensure atomic transactions, we usetinyrecord.
Only a single instance of the app can be run per machine,
because we use [tendo's]singleinstancemodule
to ensure only a single instance runs on one machine.
(Running multiple instances may clog up your internet
especially if you are pinging Ookla's speed testing servers frequently,
so we only allow a single instance to be run per machine.
We usescheduleto runspeedtest-cli's speed testing functions
on a user-configurable interval.
Logging is made simple by usingloguruThe UI is built usingstreamlit;
it was super fast and easy to build, kudos to the team!Precautions to takespeedtest-clisends about a few dozens of megabytes of data per test.
As such, if you're using metered internet
(i.e. one that has a data cap)
such as a hotspot on your phone,
you'll want to limit the frequency at which you ping Ookla's servers
or prevent the process from running in the background.Your internet speed data is private and yours by defaultThe open source package stores data in your home directory.
By default it will store data at~/.speedtest.json.
(JSON is the default storage format for TinyDB.)
You can inspect the source;
by design, no measurement data is sent anywhere.In fact, if you'd like to do your own analysis on the data,
here's a code snippet that you can use to analyze it.fromtinydbimportTinyDBdb=TinyDB("~/.speedtest.json")df=pd.DataFrame(db.all())Contributing and supporting the projectContributions are welcome; support is even more welcome!
Here's how you can help:Star the repo!Spread word about it on Twitter.Help test-drive the app.Test-drive the app on your Raspberry Pi.Make PRs to knock items off the roadmap.RoadmapChanging storage location (lets you back up on cloud storage).
Package: netsplit
Netsplit: Slice and dice your IP spaceInstallationInstall and update using:pip3 install --user --upgrade netsplitUsageHere is a very simple network plan:[netsplit]
  description = "Global / Subnet"
  network = "192.168.0.0/24"

[plan]
  options = { slots = 4 }
  members = ["NetA", "NetB"]We can render it with:❯ netsplit plan -p examples/netsplit-simple.toml -r 2
     ╷                   ╷                                    ╷               ╷
   # │ Global / Subnet   │ Subnet                             │ idx+ext/slots │ IPs
╶────┼───────────────────┼────────────────────────────────────┼───────────────┼─────╴
   0 │ Global            │ ................192.168.0.0/24     │               │ 256
   1 │ Global / NetA     │ ..................192.168.0.0/26   │   1     /   4 │  64
   1 │ Global / NetB     │ ..................192.168.0.64/26  │   2     /   4 │  64
   1 │ Global / RESERVED │ ..................192.168.0.128/26 │   3     /   4 │  64
   1 │ Global / RESERVED │ ..................192.168.0.192/26 │   4     /   4 │  64
     ╵                   ╵                                    ╵               ╵Make sure to check examples for complex network plans:
Package: netspresso-trainer
Start training models (including ViTs) withNetsPresso Trainer,
compress and deploy your model withNetsPresso!Website•Getting Started•Issues•DocsTable of contentsGetting startedInstallationGetting startedWrite your training script intrain.pylike:fromnetspresso_trainerimporttrain_cliif__name__=='__main__':logging_dir=train_cli()print(f"Training results are saved at:{logging_dir}")Then, train your model with your own configuraiton:pythontrain.py\--dataconfig/data/beans.yaml\--augmentationconfig/augmentation/classification.yaml\--modelconfig/model/resnet/resnet50-classification.yaml\--trainingconfig/training/classification.yaml\--loggingconfig/logging.yaml\--environmentconfig/environment.yamlOr you can start NetsPresso Trainer by just executing console script which has same feature.netspresso-train\--dataconfig/data/beans.yaml\--augmentationconfig/augmentation/classification.yaml\--modelconfig/model/resnet/resnet50-classification.yaml\--trainingconfig/training/classification.yaml\--loggingconfig/logging.yaml\--environmentconfig/environment.yamlPlease refer toscripts/example_train.sh.NetsPresso Trainer is compatible withNetsPressoservice. We provide NetsPresso Trainer tutorial that contains whole procedure from model train to model compression and benchmark. Please refer to ourcolab tutorial.InstallationPrerequisitesPython3.8|3.9|3.10PyTorch1.13.0(recommended) (compatible with:1.11.x-1.13.x)Install with pypi (stable)pipinstallnetspresso_trainerInstall with GitHubpipinstallgit+https://github.com:Nota-NetsPresso/netspresso-trainer.git@stableTo install with editable mode,gitclonehttps://github.com:Nota-NetsPresso/netspresso-trainer.git.
pipinstall-enetspresso-trainerSet-up with dockerPlease clone this repository and refer toDockerfileanddocker-compose-example.yml.For docker users, we provide more detailed guide in ourDocs.TensorboardWe provide basic tensorboard to track your training status. Run the tensorboard with the following command:tensorboard--logdir./outputs--port50001--bind_allwherePORTfor tensorboard is 50001.Note that the default directory of saving result will be./outputsdirectory.Pretrained weightsPlease refer to ourofficial documentationfor pretrained weights supported by NetsPresso Trainer.
Package: netssh2
Project descriptionLibrary to use ssh2-python to communicate with different network devices.Installationpip install netssh2DocumentationDocumentation can be found here:https://netssh2.readthedocs.io/en/latest/Changelog0.1.7 (2019-04-26)Make sure command timeout works.Add tests for logging.Allow to change logging level on Session init plus some more debug.Move away from unittest to pure py.test.Allow to use key authentication.Wrap channel.write for nonblocking transfer.Add scp_send.Split command to multiple if it is longer than target buffer.Add toggle for sending newline when getting rid of the header.0.1.6 (2019-04-12)Allow session with no pass.Allow to specify read buffer size.Add message level to log message.No need to merge STDOUT and STDERR with invoke shell.Add lots of debug messages for easier debugging.Add debug on SocketRecvError.Wrap encoding and decoding of strings to functions.Do not retry socket connection if we got timeout.Print output to debug on timeout when waiting for prompt.0.1.5 (2019-04-02)Allow changing logging level on the run.Fix getting output from when running without interactive shell.0.1.4 (2019-03-27)Upload to PyPi if pipeline is passing.Run CI build job every time (has build checks).Fix tag message.Specify long_description_content_type in setup.py to avoid warns.Move pushing to PyPi to CI and add wheels.Add setup.cfg with wheel specs.0.1.3 (2019-03-26)Push to pypi only when twine check passes.Use only subject of commit in changelog.Push also tags when bumping version.0.1.2 (2019-03-26)Add automatic MANIFEST.in updating to bump_version.sh.Add manifest file to include everything to built packages.Add script for automated version bumping.Add .gitignore.0.1.1 (2019-03-26)Fix date of 0.0.1 release.Fix docs link in README.Add changelog to documentation.Add license metadata setup.py.Add changelog to setup.py long description (pypi).Have only GPL v3 on PyPi.0.1.0 (2019-03-26)Add changelog.Improve README.Add pypi identifiers to setup.py.Add RST docs to be generated with sphinx using ‘make html’.Fix python envs in tox.Add code coverage to tox test.Change command prompt too if changing prompt of existing session.Add basic tests for tox.Cleanup when disconnecting.Add messages to assertions.Catch error when given invalid hostname.Add linting CI.0.0.1 (2019-03-21)Basic implementation of netssh2 to work with paralel SSH and interactive shell.Add license.Initial commit.
Package: netstat2df
Retrieves and parses network statistics related to IPv4 TCP and UDP connection returns this information as a Pandas DataFrameTested against Windows 10 / Python 3.10 / Anacondapip install netstat2dfRetrieveandparsenetworkstatisticsrelatedtoIPv4TCPandUDPconnections.Thisfunctionusesthe'netstat'command-lineutilitytogatherinformationaboutIPv4TCPandUDPconnections,includinglocalandforeignaddresses,ports,processIDs(PIDs),andexecutablenames.ItthenprocessesandreturnsthisinformationasaPandasDataFrame.Returns:pd.DataFrame:ADataFramecontainingthefollowingcolumns:-'aa_proto':Protocoltype('TCP'or'UDP').-'aa_local_address':LocalIPaddress.-'aa_local_port':Localportnumber.-'aa_foreign_address':ForeignIPaddress.-'aa_foreign_port':Foreignportnumber.-'aa_pid':ProcessID(PID)oftheassociatedprocess.-'aa_executable':Executablenameoftheassociatedprocess.-'aa_status':Statusoftheconnection(maybeemptyorNaNifunavailable).Note:-Ifanyerroroccursduringtheretrievalorparsingofnetworkstatistics,thefunctionreturnsanemptyDataFrame.Example:>>>fromnetstat2dfimportget_netstat_ipv4_df>>>df=get_netstat_ipv4_df()>>>print(df.head())
Package: netstat-cl
Ubuntu Indicator to display net usage and speed on Unity taskbar.https://pypi.python.org/pypi/netstat-clRequirements:Ubuntu OSPython 2.6 or higherChange logPackage fixesImplicit network interface selectionInstall$ pip install netstat-clTo Run$ netstat-cl
// To run in without interupt (background) $ netstat-cl &To stop$ killall netstat-clResultMenu:To-DoAdd features like total net usage, and alert on certain limit.May the Force be with you.
Package: netstorage
Netstorage is a simple client library for Akamai’s Netstorage API.To get started, you’ll need the following from your account/luna portal.Key nameKeyHostnameExample UseFirst you’ll need to create a Netstorage instance.importnetstoragetoken_name,token,hostname='TOKENABC SECRET_TOKEN whalerock-nsu.akamai-hd.net'.split()ns=netstorage(token_name,token,hostname)Disk UsageThe root directory is usually aCP CODE.disk_usage=ns.du('/39650')printdisk_usage.filesprintdisk_usage.sizeList directory contentsRetrieve directory contentsdirectory_contents=ns.dir('/396500')foritemindirectory_contents:print'{item.name}|{item.path}|{item.size}'.format(item=item)Deleting a filens.delete('/396500/important.txt')Downloading a filens.download('/396500/very_important.txt','/tmp/very_important.txt')# You can also supply a directoryns.download('/396500/very_important.txt','/tmp/')Supported actionsYou’ll notice that the methods match Akamai’s API documentation.  The
methods that are currrently supported are:deletedirdownloaddumkdirrenameuploadDevelopment GuideTo run tests, installtoxand runtox.Integration testsWe usebetamaxto capture the http/https interactions. We filter out sensitive data such as hostname to the nestorage instance, as well as theKEY NAMEused in the headers.