Saravanan666/pypi-org huggingface dataset:
Package: verden-pa-norsk
Verden på NorskSteg:DatasettSjekk om alle er i metadataSjekk om alle er i DHLABFå URN fra mdbTest wikidata extractionWikidata alternativer?Kartapp???KorpusappKommentar fra OddrunJa, dette var en veldig knapp post, ingen andre clues her. Sikkert noen som har tenkt at den oversatte tittelen er den samme som originaltittelen, så da trenger vi ikke å registrere denOg nei, alle har ikke opplysninger om originalspråk.For å fange opp alle potensielle norske oversettelser, tror jeg man må bruke flere kriterier.Indikasjoner på at vi har en norsk oversettelse:Språket i ressursen vi ser på er norsk: 041$a og/eller Leader[35-37] inneholder 'nno', 'nob' eller 'nor'
OG minst ett av følgende:
041$h (originalspråk) er noe annet enn norsk
246$i 'Originaltittel:'  finnes
700$i 'Oversettelse av:' finnes
700$a<>$4 'trl' finnes
700$a<>$e 'overs.' finnes
765 finnes (brukes ikke så mye)Grunnen til alle disse kriteriene er at det har  vært ulike katalogiseringspraksiser opp gjennom tiden.  Nå er det 700/710/711 som skal brukes til å uttrykke verket (med originaltittel), men det er ganske nytt.Når settet med kandidater er funnet, få man analysere videre ut fra dette (da kan evt. notefeltene 534 of 546 inneholde info (i tekst)), og bestemme videre strategi for å finne originalutgavene.Er det MODS du vanligvis bruker for metadata? I dette tilfellet tror jeg det er best å bruke Marc21, da man må se på spesifikke delfelt.Jeg har forsåvidt muligheten for å ekstrahere en initiell kandidatliste basert på ovenstående, hvis du er interessert. Tipper at det holder å bruke norbok (postene med 913$aNorbok) som grunnlagssett for dette.Kommentar 2Å finne oversettelsene til norsk tror jeg skal la seg gjøre, med originaltittel. Men for å finne origialutgaven/ landet må man antakelig bruke ulike strategier avh. Av hvilket land. Men store baser som f eks lc, BL og DnB er muligens bra å starte med. Og worldcat (oclc), som du var inne på. Samt autoritetsregisteret/viaf/inni hvis man trenger info om opphavspetsoner og hvor de kommer fra...
Package: verdict
verdictA class for flexible manipulation of nested data.Acts like a dictionary with additional features, including...Element-wise addition, subtraction, multiplication, and addition.Easy export to and import from both hdf5 and json files.Extensive support for saving and loading jagged arrays and sparse arrays.Conversion to numpy arrays and pandas DataFrames.Easy access to contained objects' attributes.Nested dictionaries can be transposed, i.e. the nesting order can be changed.keymin and keymax, which find the extrema values in a dictionary and their keys.Easy subdivision into multiple dictionaries.To install:pip install verdict
Package: verdigris.mu-splat
Quick introSplat is a programmeto generate some audio data which you may call music.
It’s written in Python to make it easy to use, and all the crucial processing
parts are implemented in C for fast number crunching.  It’s distributed under
the terms of theGNU LGPL v3so you remain a free individual when you use
it.Splat is not a programmeto generateliveaudio in real time, at least
not at the moment.  So it’s better suited to the studio than to the stage.To install it, clone the repository or download and extract a source archive,
then run:python setup.py installThen to generate the included piece called “Dew Drop” with an optional reverb:python dew_drop.py reverbThis createsdew_drop.wavwhich you can now play with your favourite
player.BeepHere’s a very smallSplatexample which creates a 440Hz sound for 1 second,
with fade-in and fade-out:importsplat.genimportsplat.filtersgen=splat.gen.SineGenerator()gen.filters=[splat.filters.linear_fade]gen.run(0.0,1.0,440.0)gen.frag.save("A440.wav")verdigris.muYou can find some splats as well as other music, software and electronics
things onverdigris.mu.  Some experimental splats can
also be heard onSoundCloud.
You can send your creations or reactions toinfo@verdigris.mu.Download themanual in PDF formatto start usingSplat.
Package: verdin
VerdinVerdin is atiny bird, and also aTinybirdSDK for Python
.Installpip install verdinRequirementsPython 3.8+UsageRun an SQL Query# the tinybird module exposes all important tinybird conceptsfromverdinimporttinybirdclient=tinybird.Client("p.mytoken")query=client.sql("select * from my_datasource__v0")# run the query with `FORMAT JSON` and receive a QueryJsonResultresponse:tinybird.QueryJsonResult=query.json()# print records returned from the pipeprint(response.data)You can also run, e.g.,query.get(format=OutputFormat.CSV)to get the raw response with CSV data.Query a Pipefromverdinimporttinybirdclient=tinybird.Client("p.mytoken")pipe=client.pipe("my_pipe")# query the pipe using dynamic parametersresponse:tinybird.PipeJsonResponse=pipe.query({"key":"val"})# print records returned from the pipeprint(response.data)Append to a DataSourcefromverdinimporttinybirdclient=tinybird.Client("p.mytoken")# will access my_datasource__v0datasource=client.datasource("my_datasource",version=0)# query the pipe using dynamic parametersdatasource.append([("col1-row1","col2-row1"),("col1-row2","col2-row2"),])Queue and batch records into a DataSourceVerdin provides a way to queue and batch data continuously:fromqueueimportQueuefromthreadingimportThreadfromverdinimporttinybirdfromverdin.workerimportQueuingDatasourceAppenderclient=tinybird.Client("p.mytoken")records=Queue()appender=QueuingDatasourceAppender(records,client.datasource("my_datasource"))Thread(target=appender.run).start()# appender will regularly read batches of data from the queue and append them# to the datasource. the appender respects rate limiting.records.put(("col1-row1","col2-row1"))records.put(("col1-row2","col2-row2"))DevelopCreate the virtual environment, install dependencies, and run testsmake venv
make testRun the code formattermake formatUpload the pypi package using twinemake upload
Package: verdoc
Deploy references from source control.verdocchecks out Git tags/branches/commits/etc. in temporary clones and runs:tox -e verdoc -- "$outdir"verdoc-indexcreates anindex.htmlfile that redirects to any URL you give it.Only Git and tox are supported out of the box, butverdocaims to be modular and easy to extend.InstallationUsepipxto installverdoc.pipxinstallverdocUsageSeethe documentationfor detailed usage instructions.$gitcheckout--orphangh-pages$gitrm-rf.$gittag-lv1.0.0v2.0.0$# Run `tox -e docs` instead of `tox -e verdoc`:$verdoc--build-optenv=docsv1.0.0v2.0.0INFO:verdoc:[v1.0.0]startedINFO:verdoc:[v2.0.0]startedINFO:verdoc:[v1.0.0]succeededINFO:verdoc:[v2.0.0]succeeded$gitaddv1.0.0/v2.0.0/$gitcommit-m"Add built docs for v1.0.0 and v2.0.0"$verdoc-indexv2.0.0$gitaddindex.html$gitcommit-m"Create an index.html that redirects to v2.0.0"$gitpush
Package: verefa
VEREFA CLIENT PACKAGETHIS SOFTWARE IS PROTECTED BY THE MIT LICENSEREQUIREMENTS:REQUESTS MODULECHANGESMachine setup supports debug, default False,client=verefa.machine(debug=True)Connect collects important security data and warns if unable to collect.FUNCTIONSclient.connect()client.send()client.get()client.iterate()client.purge()EXAMPLE SETUPSTEP1:Visithttps://verefa.com/and register as a developer, here you must click "New App" and copy the "token" and "tokenid"STEP2:Install verefa as shown below.pip install verefaSTEP3:Create a python client as shown below.import verefa

client=verefa.machine()
client.connect(TOKENID,TOKEN,"APPNAME")Ensure you substitute the values from your developer portal into the above connect statement.STORING DATA:Begin storing data as shown below.data = {
	"Name":"Marcus",
	"Email":"marcus@demomail.com"
}

response = client.send("tablename/document", data)Send Rules:Data must be created as a dictionary
The location must not begin or end with/The paths in a send/get statement must be even.GETTING DATA:response = client.get("tablename/document")Get Rules:Data returned will be in dictionary format.
You can specify parametersclient.get("tablename/document", "Name")This would call all documents which include the "Name" fieldEXAMPLE:import verefa

client=verefa.machine()
client.connect(123,34982,1)

print("DEMONSTRATION")

userdict = {
    "name":"Daniel",
    "email":"daniel@gmail.com"
    }

response = client.send(f"users/2", userdict)

print(response)
#prints success message

data = client.get(f"users/2")

print(data)
#prints dictionary of data previously submitted

print(data["name"])
#prints the value of field "name"

documents = client.iterate(f"users")

print(documents)
#prints a dictionary with embedded dictionaries for each user document in the table of users.


result = client.purge(f"users/mike", "FIELD", "email")
#deletes the field "email" in the document "mike"


result = client.purge(f"users/mike", "DOC")
#deletes the document "mike" and the document's data, but not the documents or directories mike held.


result = client.purge(f"users", "ALL")
#deletes the table users and all the content beneath it, does not delete content which is hiddenWARNINGS:You can't have locations with an odd number of positionsunless using .iteration():client.send(f"users/bob/rewards", userdict)THIS IS WRONG AND WILL ERRORclient.get(f"users/bob/rewards")THIS IS WRONG AND WILL ERRORclient.send(f"users/bob/rewards/recent", userdict)THIS IS CORRECT AND WILL FUNCTIONclient.get(f"users/bob/rewards/recent")THIS IS CORRECT AND WILL FUNCTIONFAQ's:What is "hidden" data?When you delete a document usingclient.purge(f"users/mike", "DOC")all other documents and directories under the "mike" document are not deleted, they are known as "hidden" data, and can only be manually deleted by specifically deleting each path.
Package: vereqsyn
vereqsynBi-directional versions.cfg <–> requirements.txt synchronizationThis program can be used to synchronize aversions.cfgused byzc.buildoutwith arequirements.txtas used bypip.This is be helpful to keep usingzc.buildoutbut get version updates via
GitHub's Dependabot.Table of ContentsInstallationUsageConstraintsHackingLicenseInstallationpip install vereqsynUsagevereqsyn --helpvereqsyn versions.cfg requirements.txtConstraintsversions.cfgis the source of truth.requirements.txtcan get recreated.Soversions.cfgcan contain comments, the ones inrequirements.txtare
lost when running recreate.HackingRun the testshatch run covLicensevereqsynis distributed under the terms of theMITlicense.
Package: verfun
VerfunVerfun is a util for generating a checksum for a python function ignoring whitespace, comments, variable names, etc.Great, why is this useful?Given a use case where you want toVersion an algorithm that did something to your dataRerun said algorithm on affected data if the algorithm changesnot rerun if you only add comments, refactor variable names, etcFeatures:Generating a md5 checksum of a given function, ignoring the following:function namedocstrings and commentswhitespaceindentationExample usageExample taken fromexample.pyfrom verfun import version_hash_for_function, version_hash_for_function_list


def some_strange_looking_function(param1, callback_fn):
    tail = param1[-1]
    return callback_fn(tail)


def same_strange_looking_function(param1, callback_fn):
    """
    This function is documented, but the function is identical to some_strange_looking_function
    and should result in the same hash
    """
    tail = param1[-1]
    # return the callback value from the tail of param whatever that is
    return callback_fn(tail)


def different_function():
    return "this one is different"


# generate checksum for each function
print(version_hash_for_function(some_strange_looking_function))
# c4cb4d2638d790016cbee29a6ed5af8c

print(version_hash_for_function(same_strange_looking_function))
# c4cb4d2638d790016cbee29a6ed5af8c

print(version_hash_for_function(different_function))
# 8515c1678211e93362800b30ef7234cf

# generate a checksum for multiple functions
print(version_hash_for_function_list([some_strange_looking_function, different_function]))
# 1fa4dc521f63cd5a8faac4cc8402d63d
Package: verge
vergeis a job executor inspired byGNU Parallel, implemented withTwisted.Installationpip install vergeThere’s awheelbuilt, in case you’re into that
(you should be).ExamplesSome useful examples can be found in the GNU ParalleldocumentationRight nowvergedoesn’t support much, but what it does support should allow
just droppingvergein everywhere you would have putparallel.
Package: vergil
<h1 align=”center”>Vergil</h1>
<h3 align=”center”>KEEP IT CLEAN!</h3>Vergil is a simple Pure Python library to help keep your JSON files clean and sporty! Vergil maintains your JSON files so you don’t have to.### Why is this a thing?
Vergil was made as an annoynance of mine with constantly maintaining old, rubbish JSON files. Vergil aims to keep the JSON polished and fine!### This is cool, but how do I get it?
1. Use pip` sudo pip3 install vergil `2.  Download the source code and do a quick install.` git clonehttps://github.com/KuanHulio/Vergil.gitcd Vergil python setup.py install `### Documentation?
Coming soon…
Package: vergit
A simple tool for extracting version information from git tags and formatting
it with optional post-release commit info.Version tags can optionally use avprefix, and can include pre-release
versions.InstallationInstall from PyPI:pip install vergitUsageFull usage:vergit [-h] [--format {long,short,default,json}] [path]Thepathcan be omitted and defaults to the current directory.There are several different formats which can be used:longAlways include the git revision info.shortNever include the git revision info, only the release version.defaultUses the long format if on a pre-release or there are commits
after the release, otherwise the short format.jsonOutput JSON data describing the version.ExamplesIf the current commit is tagged withv1.0.0:$ vergit
1.0.0

$ vergit --format short
1.0.0

$ vergit --format long
1.0.0+git-0-123abcd

$ vergit --format json
{"version": "1.0.0", "git": "+git-0-123abcd", "gitn": "0", "gitsha": "123abcd", "pre_release": false}If the commit before the current is tagged with1.0.0:$ vergit
1.0.0+git-1-123abcd

$ vergit --format short
1.0.0

$ vergit --format long
1.0.0+git-0-123abcd

$ vergit --format json
{"version": "1.0.0", "git": "+git-1-123abcd", "gitn": "1", "gitsha": "123abcd", "pre_release": false}If the current commit is tagged withv1.0.0rc1:$ vergit
1.0.0rc1+git-0-123abcd

$ vergit --format short
1.0.0rc1

$ vergit --format long
1.0.0rc1+git-0-123abcd

$ vergit --format json
{"version": "1.0.0rc1", "git": "+git-0-123abcd", "gitn": "0", "gitsha": "123abcd", "pre_release": true}
Package: veribot
VeriBot is a bot that can be used for verification. This is important in servers such as school servers
where you need to know who everyone is.InstallationTo install the stable version, you can run the following command# Linux/macOSpython3-mpipinstallveribot# Windowspy-3-mpipinstallveribotTo install the development version, you can run the following command# Linux/macOSpython3-mpipinstallgit+https://github.com/TheMaster3558/veribot# Windowspy-3-mpipinstallgit+https://github.com/TheMaster3558/veribotHow does the bot work?When a user joins the server they are prompted to use the/verifycommand.
When a user runs/verify, their name and any image they provided will be sent to the set channel.
From their moderators have the option to accept or reject the user.After approval, moderators can view who a user is, rename the user, or unverify the user.Exampleimportveribotbot=veribot.VeriBot(channel_id=881609972469866527,# this is the channel you can accept/reject from,guild_id=878431847162466354,# the id of the server the bot is being used inverified_role_id=879147463020281907# the id of the role to add to users that have been verified)bot.run('token')Final NoteIt is recommended to be familiar with discord.py before using this bot.
Package: vericold-plotter
VeriCold Log PlotterVeriCold logfiles are created by Oxford Instruments plc. VeriCold Log Plotter is a viewer for them.VeriCold Log Plotter is licensed under theGNU LGPL version 3.RequirementsPython 3.8 or newer; the newer the better;pyqtgraphto plot the data;(optionally)pyexcelerateto export the data into Office Open XML (aka XLSX) files.
Package: veridu-python
InstallationThis library can be found on PyPi (https://pypi.python.org/pypi/veridu-python).
The recommended way to install this is through pip (https://pypi.python.org/pypi/pip).`bash $ pip installveridu-python`Dependencies:collectionshashlibhmacrandomrerequeststimeurlliburlparseBugs and feature requestsHave a bug or a feature request? Please open a new issue (https://github.com/veridu/veridu-python/issues).
Before opening any issue, please search for existing issues and read the Issue Guidelines (https://github.com/necolas/issue-guidelines), written by Nicolas Gallagher (https://github.com/necolas/).VersioningThis SDK will be maintained under the Semantic Versioning guidelines as much as possible.Releases will be numbered with the following format:<major>.<minor>.<patch>And constructed with the following guidelines:Breaking backward compatibility bumps the major (and resets the minor and patch)New additions without breaking backward compatibility bumps the minor (and resets the patch)Bug fixes and misc changes bumps the patchFor more information on SemVer, please visithttp://semver.org/.Copyright and licenseCopyright (c) 2013/2016 - Veridu Ltd -http://veridu.com
Package: verifai
VerifAIVerifAIis a software toolkit for the formal design and analysis of
systems that include artificial intelligence (AI) and machine learning (ML)
components.
VerifAI particularly seeks to address challenges with applying formal methods to perception and ML components, including those based on neural networks, and to model and analyze system behavior in the presence of environment uncertainty.
The current version of the toolkit performs intelligent simulation guided by formal models and specifications, enabling a variety of use cases including temporal-logic falsification (bug-finding), model-based systematic fuzz testing, parameter synthesis, counterexample analysis, and data set augmentation. Further details may be found in ourCAV 2019 paper.Please see thedocumentationfor installation instructions, tutorials, publications using VerifAI, and more.VerifAI was designed and implemented by Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, and Sanjit A. Seshia.If you use VerifAI in your work, please cite ourCAV 2019 paperand this website.If you have any problems using VerifAI, please submit an issue to the GitHub repository or contact Daniel Fremont atdfremont@ucsc.eduor Edward Kim atek65@berkeley.edu.Repository Structuredocs: sources for thedocumentation;examples: examples and additional documentation for particular simulators, including CARLA, Webots, X-Plane, and OpenAI Gym;src/verifai: the source for theverifaipackage proper;tests: the VerifAI test suite.
Package: verifai-sdk
The official Verifai SDK for Python.Quick introductionVerifai is a AI solution that can detect ID documents in images. Seehttp://www.verifai.com/for more info.Companies use it to comply with the GDPR legislation that states you
should not store data about your users and customers that you do not
need for your business. By masking unneeded data you can comply to that.Features of this SDKDetect ID documents in JPEG images (in a privacy guaranteed way)Give you information about the detected documentPosition in the imageType of documentThe zones on the documentGet a cropped out image from the provided imageGet crops from all individual zonesApply masks to the ID document imageSetupYou can install this package by using the pip tool and installing:$ pip install verifai_sdkUsing the Verifai SDK for PythonDocumentation for the Verifai SDK for Python can be found here:https://docs.verifai.com/Registering for a API token can be done here:https://dashboard.verifai.com/
Package: verifiably-wsock-secrets-provider
Web socket secrets providerThis library enables an easy setup for a secret provider trough wsock. This secrets provider was developed to be used with avFunction.InstallationTo install this library run:pip install verifiably_wsock_secrets_providerSetupTo create the server, just provide your secrets and start the communication trough wsock.fromverifiably_wsock_secrets_providerimportcredentials_providercredentials={"account1":{"accountId":"1234","token":"0000"}}expected_pcrs={"0":"0000"}secretProvider=credentials_provider.SecretsProvider(credentials,expected_pcrs)secretProvider.start()
Package: verifier
Official Library for verifier.meetchopra.comInstallationpip install git+https://github.com/email-verifier/verifier-py.gitorgit clone https://github.com/email-verifier/verifier-py.gitUsageThe library exposes 2 methods.verifyfor boolean response making it simple andverifyRequestfor having the API response in returnBelow is the example of how to use the libraryimportverifierimportjsonifverifier.verify('meet@hooktap.in','API_TOKEN'):print("Hurray! Email is right!")else:print("Oh! Email is not real")
Package: verifone
VerifonePython package for VerifoneFree software: MIT licenseDocumentation:https://verifone.readthedocs.io.FeaturesPayment with VerifoneGet available payment methodsRefund paymentsCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.22 (2019-11-07)Fields ‘s-t-1-40_shop-receipt__phase’ and ‘s-t-1-40_submit’ are now excluded from the signature verification process.0.1.21 (2019-09-11)Added ‘l-t-1-20_saved-payment-method-id’ to ‘generate_payment_data’ function.0.1.20 (2019-05-27)Added checking that product name can not be longer than 30 character.0.1.19 (2019-05-21)Updated version of requests.0.1.18 (2019-04-26)Check is endpoint available. If not, use other endpoint.0.1.17 (2019-04-24)Modified logging.0.1.16 (2019-04-23)Updated Pipfile.lock.0.1.15 (2019-04-15)Updated Jinja2 version in Pipfile.0.1.14 (2019-04-05)Updated Pipfile.lock and requirements.0.1.13 (2019-04-01)Updated Pipfile.lock and dev requirements.0.1.12 (2019-03-26)Updated Pipfile.lock and requirements.0.1.11 (2019-02-28)Modified Verifone class. New parameter “return_error_dict” was added.Updated test cases.0.1.10 (2019-02-28)Modified method “send_request”. It does not throw anymore error if ‘s-f-1-30_error-message’ is returned.Updated Pipfile.lock.0.1.9 (2019-02-20)Updated Pipfile.lock.0.1.8 (2019-01-07)Updated Pipfiles and requirement files. There was security issue in PyYAML module.0.1.7 (2018-12-17)Length of ‘dynamic_feedback’ parameter in method ‘generate_payment_data’.0.1.6 (2018-12-17)Added ‘dynamic_feedback’ to method ‘generate_payment_data’.0.1.5 (2018-12-14)Changes in pycountry module which needed some changes also to Verifone’s country and currency methods.0.1.4 (2018-11-12)Fixed length of extra data fields. External id can be 255 characters and note 36 characters.0.1.3 (2018-10-26)Remove s-t-1-40_shop-order__phase from signature verification.0.1.2 (2018-09-12)Changes in generate_payment_data feature.0.1.1 (2018-09-06)Added post urls for hosted pages.0.1.0 (2018-08-31)First release on PyPI.
Package: verifonePED
python-verifonePED**Basic communication with Verifone PED (i.e. VX820) & Ocius VX Evolution software.A very quick-and-dirty module to create an object for a verifone device, perform login/logout, and send a transaction to the device.
Needs more work, but makes the device perform a transaction.Installingpip install verifonePEDExampleSend a transaction for £1.00:from verifonePED import verifone_device

my_ped = verifone_device(ip_address='192.168.20.161', username='1113', password='1113')

my_ped.login()

if my_ped.logged_in:
    print('Transaction Status =', my_ped.transaction(1.00))
else:
    print('Error logging in!')