Saravanan666/pypi-org huggingface dataset:
Package: vtreat
Thisis the Python version of thevtreatdata preparation system
(also available as anRpackage).vtreatis aDataFrameprocessor/conditioner that prepares
real-world data for supervised machine learning or predictive modeling
in a statistically sound manner.vtreattakes an inputDataFramethat has a specified column called "the outcome variable" (or "y")
that is the quantity to be predicted (and must not have missing
values).  Other input columns are possible explanatory variables
(typically numeric or categorical/string-valued, these columns may
have missing values) that the user later wants to use to predict "y".
In practice such an inputDataFramemay not be immediately suitable
for machine learning procedures that often expect only numeric
explanatory variables, and may not tolerate missing values.To solve this,vtreatbuilds a transformedDataFramewhere all
explanatory variable columns have been transformed into a number of
numeric explanatory variable columns, without missing values.  Thevtreatimplementation produces derived numeric columns that capture
most of the information relating the explanatory columns to the
specified "y" or dependent/outcome column through a number of numeric
transforms (indicator variables, impact codes, prevalence codes, and
more).  This transformedDataFrameis suitable for a wide range of
supervised learning methods from linear regression, through gradient
boosted machines.The idea is: you can take aDataFrameof messy real world data and
easily, faithfully, reliably, and repeatably prepare it for machine
learning using documented methods usingvtreat.  Incorporatingvtreatinto your machine learning workflow lets you quickly work
with very diverse structured data.Worked examples can be foundhere.For more detail please see here:arXiv:1611.09477
stat.AP(the documentation describes theRversion,
however all of the examples can be found worked inPythonhere).vtreatis available
as aPython/Pandaspackage,
and also as anRpackage.
Package: vt-restful
vtSimple Wrapper for the Virus Total APIConfigurationThe following env values arerequired:VT_API_URLVT_API_KEYvt will attempt to auto-detect these env keys when it first runs loading them into it's configuration.For details about where to get your api key please see the virus totaldocumentationExample usageCheck IPfromvtimportVTmy_vt=VT()ip_data=my_vt.checkip()The Clientvt has a client that you can hook into directly.
This client works like a normalrequestsclient except that it attempts to handle
the vt specific details for you.To make a request you can use it like any otherrequestsclient with one minor exception.
There is an extra argument forfromvtimportClient,Envenv=Env()vt_client=Client(env.url,env.key)vt_client.request("get","/ip_addresses","8.8.8.8",...)ContributingFeel free to submit any contribution PR's if you would like.
However, please note that as of this writing this project is not necessarily intended for general use.
Package: vtrtool
VTRToolPython utilities for Fullwave3D VTR model files.The package contains avtrtoolexecutable, as well as avtrtool.pypython packageInstallationThis tool can be obtained from PyPI. Simply do:pip install vtrtoolvtrtoolexecutable quick usagevtrtool -hto show usage informationvtrtool info my_model_file.vtrshows metadata info formy_model_file.vtrvtrtool info nx1 my_model_file.vtrprints out just the size of the 1st (x) dimension formy_model_file.vtrvtrtool to_binary --property=2 my_model_file.vtr my_model_file.binto dump the 2nd property frommy_model_file.vtrto the float32 raw binary filemy_model_file.binvtrtool to_stdout my_model_file.vtrto pipe the 1st property (default) frommy_model_file.vtrtostdoutin raw float32 binary formatvtrtool.pyPython module quick usageThevtrtool.VTRModelclass represents a vtr model that lives at a given filename. The file will be parsed on object initialization:import vtrtool

# read the vtr file `my_model_file.vtr` and construct a new VTRModel object with it
vtr_model = vtrtool.VTRModel("my_model_file.vtr")

# print model properties to stdout
vtrtool.print_vtr_metadata(vtr_model)

# model property 1 will be available as numpy ndarray in
vtr_model.arrays[0]

# model property 2 (if it exists) will be available as numpy ndarray in
vtr_model.arrays[1]

# etc...Set the optional keyworduse_memmap=Trueif you want the VTRModel object to use aNumPy memmapinstead of in-memory representation for holding the model array.The following instance properties exist for objects of theVTRModelclass:file: (str) the vtr filename referenced by the VTRModel objectnum_dimensions: (int) number of dimensions in the modelnum_attributes: (int) number of properties in the modelshape: (tuple of ints) shape (c-based) of numpy ndarray holding the models in the order(nx1, nx2, nx3)shape_fortran: (tuple of ints) shape (fortran-based) of the models in the order(nx3, nx2, nx1)nx1: (int) number of cells in the 1st (usually x) dimensionnx2: (int) number of cells in the 2nd (usually y) dimensionnx3: (int) number of cells in the 3rd (fastest, usually z) dimensionarrays: (list of ndarrays) holds the model property ndarrays, the length of the list correspond to the number of model properties (i.e., property 1 is in model[0]), and the shape of the ndarray will correspond toshapeand with the number of dimensions innum_dimensionsSome convenience functions:vtrtool.vtrfile_to_ndarray(filename, prop_index=0)quickly takes a vtr file and returns the property specified byprop_indexas an ndarrayvtrtool.print_vtr_metadata(vtrmodel_object)takes a VTRModel object and prints dimension information to stdoutMaintained byTim Lintlin@s-cube.com, 2017
Package: vtscan
vtscanCommand line tool to scan for malicious files using the VirusTotal APIInstallationpip install vtscanUsageC:\>vtscanc:\programs\FileZilla-3.44.0\filezilla.exe
calculatingsha1hash...done.sendingscanrequest...

FoundinVTDatabase
permalink:https://www.virustotal.com/gui/file/9bbf15a489e7e109f8e238013846a29448c7994a46b7507be239a2aeeccf99f7/detection/f-9bbf15a489e7e109f8e238013846a29448c7994a46b7507be239a2aeeccf99f7-1656398328
Numberofpositives:0(outof66scannersapplied)verbose_msg:Scanfinished,informationembedded
7a37556cc8d665b508dd118fb3baec27b7891fb1isnotmaliciousdoneC:\>NotesYou'll need a VirusTotal API key to use this program, you can get one by registering a free account atwww.virustotal.com. Once you have the API key, you can just put it in the%userprofile%\.config\vtscan-settings.jsondirectory.DonationPlease consider donating if this tool has helped you in any way.Donate through PayPalDonate through PatreonYou can also hire me throughUpworkorFiverrorcontact me directlyto get professional support and customization.
Package: vtt
A machine learning linear classifier as defined in A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha [2008]. “Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks”. Genome Biology. 9(Suppl 2):S11 .
To be used in conjunction with the Scikit-Learn python package.
Package: vttcompilepy
ProjectVTTCompilePy is a Python extension built using Cython. It provides streamlined bindings for
various compilers from Visual TrueType.VTTCompilePy was developed to support a Python based font development environment. In addition to the Python interface,
a command line interface is also installed. Usage is available with "vttcompilepy --help".ExampleimportsysfrompathlibimportPathimportvttcompilepyasvttTESTDATA=Path(__file__).parent/"data"IN_PATH=TESTDATA/"selawik-variable.ttf"OUT_PATH=TESTDATA/"out.ttf"print(bytes(IN_PATH))print('VTTCompilePy Test Client')compiler=vtt.Compiler(IN_PATH)compiler.compile_all()compiler.save_font(OUT_PATH,vtt.StripLevel.STRIP_NOTHING)TrademarksThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must followMicrosoft's Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.
Package: vttformatter
VttFormatterConverts WEBVTT files into text removing timestamps and identifiers and formatting the text into paragraphs.VTT_formatteris a python package that can be executed using python in the command line or through an interface such as aJupyter Notebookeither locally on a machine or usingAzure Notebooks.Full instructions on usingVTT_formatterin a Jupyter Notebook, on either Azure Notebooks, or locally using Anaconda can be found on thewiki.Example Input/OutputInputWEBVTT

NOTE duration:"00:00:32.5820000"

NOTE language:en-us

NOTE Confidence: 0.69450831413269

ef04c7c2-a59e-463f-9d27-b5b1259d6777
00:00:03.300 --> 00:00:06.870
Hello.

NOTE Confidence: 0.621036410331726

8a017ebb-1722-4e7f-8984-fc6da39c3489
00:00:08.100 --> 00:00:09.620
Hi there.

NOTE Confidence: 0.713402450084686

d9a1567a-1ebe-40ce-983a-98436bcabcfe
00:00:19.240 --> 00:00:20.240
Can you hear me properly?

NOTE Confidence: 0.536461710929871

b8e0fa64-8c2f-4070-9b0f-922a50f3fcde
00:00:21.930 --> 00:00:23.490
Yeah.

NOTE Confidence: 0.889019846916199

88910870-8af9-48f5-bcc4-a501eda95d3f
00:00:24.670 --> 00:00:28.778
But now my headphones are playing
up, I can still hear you though.

NOTE Confidence: 0.889019846916199

7d633414-089b-4813-9617-9533f5f215c0
00:00:28.778 --> 00:00:32.570
Well, I mean it is crackling. It 
will still be recording the audio.OutputHello.

Hi there.

Can you hear me properly?

Yeah.

But now my headphones are playing up, I can still hear you though. Well, I mean 
it is crackling. It will still be recording the audio.Simple useageThe screenshot belows shows the simple implementation of the VTT formatter in a jupyter notebook. This will read in the file defined and create a new.txtfile in the same directory as the original.Further information can be found in the notebookhereInstallationThe simplest way to install this vttformatter is to usepipto install fromPyPIpip install vttformatterAlternatively, you can download the latest release fromGitHub, and install directly:cd vttformatter
pip install -e .which installs an editable (-e) version of pyscses in your userspace.Or clone the latest version fromGitHubwithgit clone git@github.com:georgiewellock/VTT_formatter.gitand install the same way.cd vttformatter
pip install -e .TestsUnit tests are available in the toptestsdirectory. These can be run usingpytestorpython -m unittest discoverin the top directory.ContributingBugs reports and feature requestsIf you think you have found a bug, please report it on theIssue Tracker. This is also the place to propose ideas for new features or ask questions about the design of the vtt formatter. Poor documentation is considered a bug, but please be as specific as possible when asking for improvements.
Package: vt-timetable
vt-timetableA python module for scraping the Virginia Tech Timetable of Classes.This module makes it easy to get data from the Virginia Tech Timetable of
Classes using python. The most important components of the module are thesearch_timetablefunction, which directly searches the timetable with the
provided parameters, and theCourseclass, which contains data about a
course. Additionally,get_crnmakes it easier to search for a specific
course. The two other functions,get_semestersandget_subjects, make it
possible to check which search parameters are valid.Documentation can be foundhere.Getting startedThis module can be installed from the Python Package Index.$pipinstallvt-timetableAfter installing the module, it can be imported with:importvttExamplesGetting data about CRN 83075 for Fall 2021, and checking if there are any open
spots:course=get_crn('2021',Semester.FALL,'83075')course.has_open_spots()Getting a list of all MATH 2114 sections for Fall 2021 that are taking place in
person:search_timetable('2021',Semester.FALL,subject='MATH',code='2114',modality=Modality.IN_PERSON)
Package: vttLib
vttLibA library toExtract VTT hinting data from a OpenType font prepared withMicrosoft Visual TrueType (VTT)and store it in aFontToolsTTX dumpMerge it back from a TTX dump into an OpenType font andCompile the data inside to font to ship it (turnTSI*tables intofpgm, etc.).The primary use case is version control of hinting data of fonts.Installation and UsageInstallation requires a Python 3.7+ interpreter.Install in a virtual environment with:$pipinstallvttLib
$python-mvttLib--helpMaking a ReleaseThis is currently not automated.Tag a new versionpython3 setup.py bdist_wheelManually transferdist/*.whlto internal package repository.
Package: vttmisc
vttmiscA library that contains a small set of scripts related to working withVTT.Installation and UsageVttmisc can be called via a build script, or directly from the command line.$ pip install vttmisc
$ python vttmisc [-h] [--fix-offset] [--clear-svtca] [--makeCVAR] -i INPUTPATH [-s VTTPATH] [-d OUTPUT]Options are as follows:--clear-svtcaThis script clears the "SVTCA[X]" tag from your VTT source files (specifically in the TSI1 table) as these can cause misalignments of diacritical marks. I suggest using this script after autohinting.--fix-offsetThis script overcomes the GID restictions placed in the font due to use of the OFFSET command. It takes a source font, and a new font, and updates the new font with the appropriate GIDs.--makeCVARThis script generates a cvar table based on the TSIC table. Under most circumstances, output matches VTT's identically.**If you are doing more complex cvar modification, please double check. Most likely more complicated ones will need to go through VTT or varlib.Additional settings:-iinput path of new font (required)-sinput path of source VTT font (required for makeCVAR)-doutput path (optional: script will export using a default name if not provided)
Package: vtt-to-srt
vtt_to_srt.pyuseful python script for Python 2.7convert all vtt files to srt subtitle formatUsage from terminal:vtt_to_srt.py pathname [-r]

	pathname - a file or directory with files to be converted 

	-r       - walk path recursivelyAs a lib:Installation:pip install --user vtt_to_srtUsage:# convert vtt file

	from vtt_to_srt import vtt_to_srt
	path = '/path/to/file.vtt'
	vtt_to_srt(path)


	# recursively convert all vtt files in directory

	from vtt_to_srt import vtts_to_srt
	path = '/path/to/directory'
	vtts_to_srt(path, rec = True)
Package: vtt-to-srt3
vtt_to_srt3Convert vtt files to srt subtitle formatFor Python 3.xyou can get version for Python 2.7 hereDocshttps://jsonzilla.github.io/vtt_to_srt3/Installationpipinstallvtt_to_srt3python -m pip install vtt_to_srt3Usage from terminalusage:vtt_to_srt.py[-h][-r][-eENCODING]pathname

Convertvttfilestosrtfiles

positionalarguments:pathnameafileordirectorywithfilestobeconverted

options:-h,--helpshowthishelpmessageandexit-r,--recursivewalkpathrecursively-eENCODING,--encodingENCODINGencodingformatforinputandoutputfilesUsage as a libConvert vtt filefromvtt_to_srt.vtt_to_srtimportConvertFileconvert_file=ConvertFile("input_utf8.vtt","utf-8")convert_file.convert()Recursively convert all vtt files in directoryfromvtt_to_srt.vtt_to_srtimportConvertDirectoriesrecursive=Falseconvert_file=ConvertDirectories(".",recursive,"utf-8")convert_file.convert()Manual buildGenerate wheelpython-mpipinstall--upgradesetuptoolswheelbuild
python-mbuildGenerate documentationGenerate documentationpython-mpipinstallpdoc3
pdoc--htmlvtt_to_srt/vtt_to_srt.py-odocs
mvdocs/vtt_to_srt.htmldocs/index.html
rm-rmdocs/vtt_to_srt
Package: vtuberwiki-py
vtuberwiki-pyvtuberwiki-pyis a Python library wrapper forVirtualYoutuberFandom API.This package supports both Asynchronous (async/non-blocking) and Synchronous (sync/blocking) programming.InstallationTo install vtuberwiki-py, simply run:$ pip install vtuberwiki-pyBreaking ChangesHere is some of the breaking changes forvtuberwiki-py 0.1.7:to increase ease of use,auto_correctparameter will now defaults toTruetrivia()now returns aListremovingmiscandnamekey from dict, sotrivia()will now fetch all of the trivia without classifying the segmentbackground()method is now changed intohistory()adding a newquote()method to fetch vtuber's quotesquote()method returns aListnow you can get the name & image of a Vtuber by calling the.nameand.imageClass propertyto understand more please read vtuberwiki-py documentations, thanks.DocumentationYou can find the full documentation and example for vtuberwiki-pyhere.Examples→ Asynchronous (non-blocking)fromvtuberwikiimportAioVwikiimportasyncioasyncdefsearch_fandom():asyncwithAioVwiki()asaio_vwiki:awaitaio_vwiki.search(vtuber="mythia batford",limit=3)# ['Mythia Batford', 'Mythia Batford/Gallery', 'Mythia Batford/Discography']awaitaio_vwiki.summary(vtuber="mythia batford",auto_correct=True)# Mythia Batford (ミシア ・バットフォード) is an Indonesian female Virtual Youtuber. She uses both Indonesian and English on her stream.asyncio.run(search_fandom())→ Synchronous (blocking)fromvtuberwikiimportVwikidefsearch_fandom():vwiki=Vwiki()vwiki.search(vtuber="mythia batford",limit=3)# ['Mythia Batford', 'Mythia Batford/Gallery', 'Mythia Batford/Discography']vwiki.summary(vtuber="mythia batford",auto_correct=True)# Mythia Batford (ミシア ・バットフォード) is an Indonesian female Virtual Youtuber. She uses both Indonesian and English on her stream.search_fandom()LicenseMIT licensed. See theLICENSE filefor full details.CreditsSpecial thanks to MediaWiki API and Fandom for making this project possible
Package: vturra
Command line Interface for vturra that retrieves result from vtu and
analyzes it.Pre-RequesitiesThe following packages should be installed using the operating system
packet manager forlinux. These packages are required for compiling
and buildingnumpyandscipy.libatlas-base-devliblapack-devgfortranFor Windowslibatlas-base-devandliblapack-devare available atATLASandLAPACKwebsites.You can follow thisguide.numpy,scipyandpandastake quite time to build and
install. So instaed of installing the above pre-requesites installing
the packagespython-scipy,python-numpydirectly using the
operating system packet manager would reduce the compile,build time and
it will satisfy the above dependencies.InstallationRunpython setup.py installfrom the package directoryvturraExecutionvturra [year] [stream]For examplevturra 11 cswould retrieve the results ofcomputer sciencestream of year2011
Package: vtwt
AboutVtwt is a command-line interface to Twitter.  As of version 0.1.0, OAuth is the
only supported authentication mechanism.  The “oauth” subcommand can be used to
generate an OAuth authorization token for this client to access your Twitter
account.Vtwt is released under an MIT license (see LICENSE).Installationvtwt installs using a standard Python distutils setup.py:$ python setup.py installSince vtwt is on the Python Package Index, it can also be installed with tools
like easy_install:$ easy_install vtwtConfiguration Filevtwt(1) reads a configuration file (~/.vtwtrc, by default; specified with the
–config-file option) that is used to set configuration values that are
otherwise passed to the command-line.  This file may contain arbitrary Python,
though there little reason for non-trivial logic to be there.  A typical vtwtrc
would look something like the following:oauth_token = “908a9f8d90af89809a8f”
oauth_token_secret = “93084-908a9f8d908978798a7d87af797af89809a8f”
Package: vtx-common
A collection of a few common tools which are useful for Python packaging and CI purposes.These tools can be invoked as Python modules from the Python command line (python-m<module path>). Available tools
include the following:vtx_common.tools.github_releaseThis can be used to automatically push a Release up to github using a changelog file. Many values may automatically
be resolved from environment variables. Some values may also come fromsetup.cfgfiles. The following config
values are read from that location (under the sectionvtx_common:github_release):release-nameName to prefix the release as.extra-linesAdditional lines appended to the changelog. This setting may only be set viasetup.cfg.remove-urlsBoolean to remove lines starting as RST URL links from changelog lines.dry-runDo a dry run. Still requires a tag to be parsable from a environment variable.changelogThe changelog file to parse.vtx_common.tools.pep8_staged_filesRunsautopep8against the repository. Must be run from the root of the repository. Can use the following Bash
alias to make this easier to invoke:alias pep8staged='python -m vtx_common.tools.pep8_staged_files'vtx_common.tools.pre_commitThis is used as a Git pre-commit hook. This can be easily installed via the following command:echo "python -m vtx_common.tools.pre_commit" > .git/hooks/pre-commit && chmod +x .git/hooks/pre-commitThis will runpycodestyleagainst Python files to be committed. It assumes that there is asetup.cfgfile
in the root directory of the repo.vtx_common.tools.buildpkgThis will execute rstorm files for a given storm package file following Vertex conventions, in order to generate
markdown documentation for the package that can be viewed in the Synapse UI. This requires having the Synapse
python package available, as well aspandoc. Pandoc should be ve`rs`ion2.14.0.1or greater.This package also installsbump2version,pytest,pytest-covandpytest-xdistpackages.
Package: vtzero
python-vtzeroExperimental Python wrapper ofvtzeroa minimalist vector tile decoder and encoder in C++RequirementsPython >= 3.5gcc/clang++ >= 4.5 (C++11)InstallYou can install python-vtzero using pip$pipinstallvtzeroor install from source$gitclonehttps://github.com/tilery/python-vtzero
$cdpython-vtzero# Download vendor submodules (protozero, mvt-fixtures, vtzero)$gitsubmoduleupdate--init# Compile Cython module$pythonsetup.pybuild_ext--inplace
$pipinstall-e.ExampleA complete example can be foundherefromvtzero.tileimportVectorTile,Tile,Layer,Point# Create MVTtile=Tile()# Add a layerlayer=Layer(tile,b'my_layer')# Add a pointfeature=Point(layer)feature.add_points(1)feature.set_point(10,10)feature.add_property(b'foo',b'bar')feature.add_property(b'x',b'y')feature.commit()# Encode mvtdata=tile.serialize()
Package: vu
VU - 0.1.1VUis a small service that helps you to check the health of your services on the web.
On a single web page, you can check that :All your favorite sites are aliveAll your jenkins build are greenAll your supervisor processes are runningThis is experimental, the documentation, packing, and setup instructions are coming soon.Installationpython setup.py install(It will install also tornado.)Configuration fileSimply create a filevu.cfg:[checker:Google]
type = url
url = http://google.com[checker:My site]
type = url
url = http://mysupersite.com[checker:My private site with http auth]
type = url
url = http://admin.mysupersite.com
http_user = admin
http_password = mypasswordThen runvu -c vu.cfg -p 8888and checkhttp://127.0.1.1:8888/In progressIt aims to be a personnal helper, there are 0 feature and bad performances.
I told you.LICENCEThe MIT License (MIT)Copyright (c) 2013 Martyn CLEMENTPermission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the “Software”), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.