Saravanan666/pypi-org huggingface dataset:
Package: korodata
========
Korodata.. image::https://img.shields.io/pypi/v/korodata.svg:target:https://pypi.python.org/pypi/korodata.. image::https://img.shields.io/travis/ionlizarazu/korodata.svg:target:https://travis-ci.com/ionlizarazu/korodata.. image::https://readthedocs.org/projects/korodata/badge/?version=latest:target:https://korodata.readthedocs.io/en/latest/?badge=latest:alt: Documentation StatusEAEko herriz herriko Koronabirus datuak kontsultatzeko tresnaFree software: GNU General Public License v3Erabilera eta instalazioaInstalatu paketea pip erabiliz:$ pip install korodataErabiltzeko inportatu paketea eta deitu metodoei:>>> from korodata import Korodata
>>> Korodata.azken_eguneraketa()
...
>>>
>>> fitxategia, herri_izena = Korodata.herria('Antzuola', 60)
...
>>>
>>> fitxategia = Korodata.probintzia('01', 60)
...
>>>
>>> fitxategia = Korodata.eae(60)Funtzioen azalpenaazken_eguneraketa()Publikatuta dagoen JSON fitxategiaren azken eguneraketa itzultzen du.

herria(herri_izena, zenbat_egun)Bi parametro hartzen ditu, herriaren izena eta zenbat egun.
Egun kopurua pasa ezean azken 60 egunetako datuak itzuliko ditu.
Eskatzen zaion herriaren azken egunetako positibo bilakaera duen grafika bat eta herriaren izena itzultzen ditu.probintzia(kodea, zenbat_egun)Bi parametro hartzen ditu, probintziaren kodea eta zenbat egun.
Probintzia kodeak hauek dira: 
  - '01' - Araba
  - '48' - Bizkaia
  - '20' - Gipuzkoa
Egun kopurua pasa ezean azken 60 egunetako datuak itzuliko ditu. 
Eskatzen zaion probintziaren azken egunetako positibo bilakaera duen grafika bat itzultzen du.

eae(zenbat_egun)Parametro bakarra hartzen du, zenbat egun.
Egun kopurua pasa ezean azken 60 egunetako datuak itzuliko ditu.
Euskal Autonomia Erkidegoko azken egunetako positibo bilakaera duen grafika bat itzultzen du.gorriak(muga)Parametro bakarra hartzen du, muga deiturikoa.
Intzidentzia metatuaren muga zein izan nahi den aukeratu eta hortik gora daukaten herrien zerrenda itzultzen du, bakoitzaren informazioarekin. 


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

2.1.0 (2022-01-09)
------------------

- gorriak function [ionlizarazu <ilizarazu@codesyntax.com>]

-  [ionlizarazu <ilizarazu@codesyntax.com>]

- [ci skip] [ionlizarazu <ilizarazu@codesyntax.com>]



1.0.0 (2020-09-09)
------------------

* First release on PyPI.
Package: korona
Korona helps you to generate HTML pages from the given inputs(HTML Tags and Attributes) without writing the HTML code.LinksProject:https://github.com/bharadwajyarlagadda/koronaDocumentation:http://korona.readthedocs.ioPypi:https://pypi.python.org/pypi/koronaTravisCI:https://travis-ci.org/bharadwajyarlagadda/koronaFeaturesSupported on Python 2.7 and Python 3.3+With this package, you can avoid writing direct HTML code.QuickstartInstall using pip:pip install koronaChangelogv0.4.2 (2016-09-24)AddedAdded classes for building some of the tags:<input>v0.4.1 (2016-09-16)ChangedMoved all the templates for html tags fromtemplates/html/tags.pytotemplates/html/tags/v0.4.0 (2016-09-15)AddedAdded classes for building some of the tags:<html></html><i></i><iframe></iframe><img>ChangedMoved all the classes for constructing tags to separate files for easy accessibility.v0.3.1 (2016-09-05)AddedAdded validation for URL strings in constructing the tags.v0.3.0 (2016-09-04)AddedAdded classes for building some of the tags:<h1></h1><h2></h2><h3></h3><h4></h4><h5></h5><h6></h6><head></head><header></header><hr>v0.2.0 (2016-09-03)AddedAdded classes for building some of the tags:<colgroup></colgroup><dd></dd><del></del><details></details><dialog></dialog><div></div><dl></dl><dt></dt><embed><fieldset></fieldset><figure></figure><footer></footer><form></form><frame><frameset></frameset>v0.1.0 (2016-08-28)AddedFirst release.Added classes for building some of the tags:<a></a><abbr></abbr><acronym></acronym><address></address><area><article></article><b></b><base><button></button><canvas></canvas><caption></caption><cite></cite>
Package: koronascript
Running Korona through PythonPrerequisitesInstall LSSS/Korona.This version of the KoronaScript is tested against lsss-2.16.0-alpha
version. LSSS and korona is usually placed at~/lsss/lsss-2.16.0-alphaor a similar directory.Download the appropriate version from here:https://marec.no/tmp/lsss-2.16.0-alpha-20230922-1417-linux.ziphttps://marec.no/tmp/lsss-2.16.0-alpha-20230922-1417-windows.zipIf you run linux you need to install the netcdf library separately:apt-get install libnetcdfAdd licenseYou need an LSSS licence. The licence have to be added according to the LSSS manual. the licence files are typically placed at the~/marec/licensedirectory.Set system variablesThis can be set at run time either by setting the LSSS environment
variable in the shellexport LSSS=~/lsss-2.16.0-alpha/koronabefore running your script, or by adding to pathlsss = '~/lsss-2.16.0-alpha/korona'
os.environ["LSSS"] = lssspointing at the LSSS environment to your script.UsageImport the modules:import KoronaScript as ks
import KoronaScript.Modules as ksmCreate a script object:ks = ks.KoronaScript(Categorization='categorization.xml',
                 HorizontalTransducerOffsets='HorizontalTransducerOffsets.xml')Add some modules:ks.add(ksm.EmptyPingRemoval())
ks.add(ksm.Comment(LineBreak='false', Label='CW_0256ms'))
ks.add(ksm.ChannelRemoval(Channels=[1,5,9,13,17],KeepSpecified='true'))
ks.add(ksm.Writer(RelativeDirectory='CW_0256ms'))Write out the resulting configuration:ks.write()Run the script:ks.run(src="input_dir", dst="output_dir")The list of modules and their parameters can be found in theconfiguration/korona-info.jsonfile.
Package: koronavirus
koronavirusKoronavirüs (Covid-19) verilerine erişmenizi sağlayan bir Python modülü.Verilerin kaynağı:NovelCOVID APIPyPI:https://pypi.org/project/koronavirus/GitHub:https://github.com/Dorukyum/koronavirus/Kurulumİndirmek için:pip install koronavirusÖrnek KullanımSenkron# modülü içeri aktarfromkoronavirusimportkorona# Türkiye'nin koronavirüs verilerini alveriler=korona("Turkey")# veya korona("tr")print(veriler)Asenkron# modülü içeri aktarfromkoronavirusimportasync_koronaaskorona# Türkiye'nin koronavirüs verilerini alasyncdefmain():veriler=awaitkorona("Turkey")# veya korona("tr")print(veriler)
Package: korouge-score
Rouge Implementation for Koreanoriginal source code fromhttps://github.com/google-research/google-research/tree/master/rouge기존 rouge_scorer는 알파벳과 숫자를 제외하고는 제거했기 때문에 한국어로는 계산하려면 별도로 처리가 필요했습니다.
tokenize.py 에서 해당 부분을 주석처리한 뒤 pypi로 새롭게 배포했습니다.
따라서 불용어나 특수문자 제거, stemmer처리 등은 별도로 진행해야 합니다.pip install korouge_scorefromkorouge_scoreimportrouge_scorerscorer=rouge_scorer.RougeScorer(["rouge1","rouge2","rougeL","rougeLsum"])ref="안녕하세요 반가워요 오늘 뭐 먹을래요?"pred="안녕 ㅋ 반가워 오늘 뭐 할래?"print(scorer.score(ref,pred))>>>{'rouge1':Score(precision=0.3333333333333333,recall=0.4,fmeasure=0.3636363636363636),'rouge2':Score(precision=0.2,recall=0.25,fmeasure=0.22222222222222224),'rougeL':Score(precision=0.3333333333333333,recall=0.4,fmeasure=0.3636363636363636),'rougeLsum':Score(precision=0.3333333333333333,recall=0.4,fmeasure=0.3636363636363636)}
Package: korovic
Working from his secret volcano lair in the Pacific Ocean, Doctor Korovic has
created an atomic super-squid with which to take over the world!Alas, Susie, the squid, is allergic to sea water.Doctor Korovic has conceived a most fiendish plan - Susie must take to the
skies!RunningTo run the game, runrun_game.py, or if you have installed it (see below),
then just runkorovic.You can start the game at any level by using the--levelswitch, eg.$ korovic --level 2InstallingDoctor Korovic’s Flying Atomic Squid is packaged with distribute. You will need
either distribute or setuptools to be able to install this (distribute is
preferred).It can be installed with setup.py:$ python setup.py installOr from PyPI:$ pip install korovicBoth of these approaches work with virtualenvs, and will install dependencies.
Note that this depends on the dependencies being available to pip/easy_install.
In particular pygame seems not to be currently pip installable on Linux as it
selects a Mac build by default. The other packages are automatically
installable.Dependencies neededIf you choose not to use pip, you will need to install the following
dependencies:pyglet>=1.1.4pymunk==2.1.0pygame>=1.9.1releaselepton==1.0b2setuptools or distribute (for pkg_resources)EditingIn the editor, click and drag on the menu to scroll it.You can also click on many components to adjust their angles, and drag them
between slots. Most components are limited in the slots they can be put into.When you are ready to fly, click “Fly”.ControlsControl is on the number keys. Icons in the bottom right will display the key
for each component you have attached to Susie.To return to the editor, press Escape.To skip through a cutscene, press space. To skip a cutscene completely, press
Escape.
Package: koroviev
KorovievCode jinja template generator for structured projects :)Installpip3installkorovievHelp and initFor see commands list (man), type to console:korovievFor init, type to console (in project root folder):korovievinitSimple example: Create template and generateTest project structure:test_project
├──.koroviev_templates
├──.koroviev.toml
└──test_project├──...other...├──base.py└──crudsFor example, I add one template with name "crud" in my config file (.koroviev.toml) with two params[setup]language='python'project_folder='test_project'templates_folder='.koroviev_templates'template_extension='py'[templates.crud]comment="my test template"target_project_dir="cruds/"params=["name","table"]For easy get auto generate templates folder structurekorovievstructuregenerateCreatetemplatetypefolder'unary':'/home/user/projects/test_project/.koroviev_templates/unary'...
Createtemplatefile'test':'/home/user/projects/test_project/.koroviev_templates/unary/test.py'...Structure after template folder generate:test_project
├──.koroviev_templates
│└──unary
│└──crud.py
├──.koroviev.toml
└──test_project├──...other...├──base.py└──crudsFill crud.py with this code:fromtest_project.baseimportBaseCRUDclass{{name|capitalize}}CRUD(BaseCRUD):table="{{table}}"Next, generate "test" crud by this template:$korovievgencrud
Inputnameforgeneratedfile:testInput'name'value:testInput'table'value:testCreatefilebytemplate:/home/user/projects/test_project/test_project/cruds/test.py...Resultcruds/test.py:fromtest_project.baseimportBaseCRUDclassTestCRUD(BaseCRUD):table="test"
Package: korp
This library provides an easy way to queryKorpsystems for language corpora. This library is brought to you byMika Hämäläinen.UsageYou can initialise Korp with either service_name (språkbanken,kielipankkiorGT) or url to your Korp’s API interface such ashttps://korp.csc.fi/cgi-bin/korp.cgi.An example for getting all concordances for North Sami corpora in Giellatekno Korp for query[pos=”A”] “go” [pos=”N”].from korp import Korpkorppi =Korp(service_name="GT")#uses Giellateknocorpora =korppi.list_corpora("SME")#lists corpora returns the ones starting with the North Sami language codenumber_of_results, concordances =korppi.all_concordances('[pos="A"]"go"[pos="N"]',corpora)More informationFor more information, seethe GitHub pageandWiki for tutorials.
Package: korpokkur
korpokkur is command tool set for scaffold.(only support 2.7 and 3.3korpokkur has several subcommands. list below.listcreatescanlist$korpokkurlistpackage--tinypythonpackagescaffold(thisissample)scaffold--korpokkurscaffoldtemplatetemplatecreate$korpokkurcreatepackage.package(packagename)[sample]:fooversion(versionnumberforproject)[0.0]:0.1description(packagedescription)[-]:samplepackage$treefoofoo|--CHANGES.txt|--README.rst|--foo|`--tests|`--__init__.py`--setup.pysometime, it’s annoying that asking via interactive shell when unknown setting is found.
so, enable to pass value by config file.$korpokkurcreate--config./foo.inipackage.[scaffold]
package = foo
version = 0.1
description = sample packageor json file is also ok.$korpokkurcreate--config./foo.jsonpackage.{"package": "foo", "version": "0.1", "sample package"}scanscan is dry-run operation about create.$korpokkurscanpackagepackage(packagename)[sample]:food[c]:/tmp/food[c]:/tmp/foo/foof[c]:~/korpokkur/scaffolds/package/+package+/CHANGES.txt->/tmp/foo/CHANGES.txtf[m]:~/korpokkur/scaffolds/package/+package+/README.rst.tmpl->/tmp/foo/README.rstf[m]:~/korpokkur/scaffolds/package/+package+/setup.py.tmpl->/tmp/foo/setup.pyversion(versionnumberforproject)[0.0]:0.1description(packagedescription)[-]:samplepackaged[c]:/tmp/foo/foo/testsf[c]:~/korpokkur/scaffolds/package/+package+/+package+/tests/__init__.py->/tmp/foo/foo/tests/__init__.pyf[c]:~/korpokkur/scaffolds/pygitignore/+package+/.gitignore->/tmp/foo/.gitignore----------------------------------------*inputvalues*{"version":"0.1","package":"foo","description":"sample package"}output information what files are generated and what values are asked.
Package: korr
korrcollection of utility functions for correlation analysisUsageCheck theexamplesfolder for notebooks.Compute correlation matrix and its p-valuespearson– Pearson/Sample correlation (interval- and ratio-scale data)kendall– Kendall’s tau rank correlation (ordinal data)spearman– Spearman rho rank correlation (ordinal data)mcc– Matthews correlation coefficient between binary variablesEDA, Dig deeper into resultsflatten– A table (pandas) with one row for each correlation pairs with the
variable indicies, corr., p-value. For example, try to find “good”
cutoffs withcorr_vs_pvaland then look up the variable indicies
withflattenafterwards.slice_yx– slice a correlation and p-value matrix of a (y,X) dataset into a
(y,x_i) vector and (x_j, x_k) matricescorr_vs_pval– Histogram to find p-value cutoffs (alpha) for a) highly correlated
pairs, b) unrelated pairs, c) the mixed results.bracket_pval– Histogram with more fine-grained p-value brackets.corrgram– Correlogram, heatmap of correlations with p-values in bracketsUtility functionsconfusion– Confusion matrix. Required for Matthews correlation (mcc) and is a
bitter faster than sklearn’sParameter Stabilitybootcorr– Estimate multiple correlation matrices based on bootstrapped
samples. From there you can assess how stable correlation estimates
are (how sensitive against in-sample variation). For example, stable
estimates are good candidates for modeling, and unstable correlation
pairs are good candidates for P-hacking and non-reproducibility.Variable Selection, Search Functionsmincorr– From all estimated correlation pairs, pick a givenn=3,5,..of
variables with low and insignificant correlations among each other.
(Seebinselpackage for an
application.)find_best– Find the N “best”, i.e. high and most significant,
correlationsfind_worst– Find the N “worst”, i.e. insignificant/random and
low, correlationsfind_unrelated– Return variable indicies of unrelated pairs (in terms of
insignificant p-value)AppendixInstallationThekorrgit repois available
asPyPi packagepip install korrInstall a virtual environmentpython3.7 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt --no-cache-dir
pip install -r requirements-dev.txt --no-cache-dir
pip install -r requirements-demo.txt --no-cache-dir(If your git repo is stored in a folder with whitespaces, then don’t use
the subfolder.venv. Use an absolute path without whitespaces.)CommandsCheck syntax:flake8--ignore=F401Run Unit Tests:pytestRemove.pycfiles:find .-typef-name"*.pyc"| xargs rmRemove__pycache__folders:find .-typed-name"__pycache__" | xargs rm-rfPublishpandocREADME.md--frommarkdown--torst-s-oREADME.rstpythonsetup.pysdisttwineupload-rpypidist/*SupportPleaseopen an issuefor support.ContributingPlease contribute usingGithub
Flow. Create a branch,
add commits, andopen a pull
request.
Package: korrektor-py
:gb:Korrektor-PyKorrektor-Py- python library & wrapper for API of the https://korrektor.uzInstallationUsingpip:pip3install--upgradekorrektor-pyBuild & install from source code:git clone https://github.com/AbduazizZiyodov/korrektor-py.git
cd korrektor-py/

python3 setup.py sdist bdist_wheel && cd dist/
pip install Korrektor_Py-*.whlOwner:Manuchehr UsmonovAuthor of this library:Abduaziz Ziyodov:uzbekistan:Korrektor-PyKorrektor-Py- python library & wrapper for API of the https://korrektor.uzO'rnatishpipyordamida:pip3install--upgradekorrektor-pyLoyihani asl manba kodidanbuildqilib, so'ng o'rnatish:git clone https://github.com/AbduazizZiyodov/korrektor-py.git
cd korrektor-py/

python3 setup.py sdist bdist_wheel && cd dist/
pip install Korrektor_Py-*.whlLoyiha asoschisi:Manuchehr UsmonovUshbu kutubxona muallifi:Abduaziz Ziyodov
Package: korrektor-uz-async
API wrapper forhttps://korrektor.uzAPI documentation:APIFoydalanish bo'yicha API yo'riqnoma:https://korrektor.uz/api/Api token olish uchuncon9799@mail.ruemail manzili yoki telegram orqalihttps://t.me/korrektrobotning aloqa bo’limiga yozish so’raladi.Installationpipinstallkorrektor-uz-asyncUsagefromkorrektorimportClientkorr=Client(token='your_token')# barcha metodlarni async/await yordamida ishlatish mumkin va# ular haqida quyidagi metod orqali ma'lumot olish mumkininfo=awaitkorr.info()print(info)Batafsil ma'lumotlarnihttps://korrektor.uz/apisaytidan olasiz
Package: korrelated
korrelatedA package containing python interfaces to some popular correlated-k radiative transfer librariesFree software: BSD licenseDocumentation:https://korrelated.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2021-02-17)First release on PyPI.
Package: korsair
# Korsair### Project description—설명을 적어야 하는데 뭐라고 적지…### Install and Import—Install with pip`jsx python3-mpip install korsair `Import korsair`python import korsair `###Functions—get_variant(chro, pos, ref, alt)get_variant_id(rsid)get_gene_v1(gene_id)get_gene_v2(gene_id)get_region_v1(chro, start, end)get_region_v2(chro, start, end)### Simple Example—`python GeneSymbol: TP53Variantformat: 7-140787574-C-TdbSNP: rs397507456, Region: 17-7676272-7675994EnsemblGene: ENSG00000133703EnsemblTranscript: ENST00000311936`get_variant`pythonkorsair.get_vaiant('chr7',140787574, 'C', 'T') `get_variant_id`pythonkorsair.get.get_variant_id('rs397507456')`get_gene_v1`pythonkorsair.get_gene_v1('CHD8')`get_gene_v2`pythonkorsair.get_gene_v2('CHD8')`get_region_v1`python korsair.get_region_v1(17, 7676272, 7675994) `get_region_v2`python korsair.get_region_v2(17, 7676272, 7675994) `### Site—[KORSAIR](http://korsair.kisti.re.kr/)
Package: korsair-api
KorsairProject descriptionkorsair-api is a library package providing APIs to query the KORSAIR database(http://korsair.kisti.re.kr/), Korean Reference SNP and Indel Repository. We provide korsair-api to help you query and retrieve KORSAIR directly on your python code. With korsair-api, users can filter the query result based on the variant's information annotated with VEP, such as CADD score. korsair-api communicates with KORSAIR by REST APIs provided by KORSAIR.Install and ImportInstall with pippython3-mpipinstallkorsair-apiImport korsairfromkorsair_apiimportkorsairFunctionsget_variant(chro, pos, ref, alt)get_variant_id(rsid)get_gene(gene_id)get_region(chro, start, end)extract_data(df, column, num)extract_none_rsid(df)extract_filter(df, value)Simple ExampleGeneSymbol:TP53Variantformat:7-140787574-C-TdbSNP:rs397507456,Region:17-7676272-7675994EnsemblGene:ENSG00000133703EnsemblTranscript:ENST00000311936get_variantkorsair.get_vaiant('chr7',140787574,'C','T')get_variant_idkorsair.get_variant_id('rs397507456')get_genekorsair.get_gene('CHD8')get_regionkorsair.get_region(17,7676272,7675994)extract_data(df, column, num)df=korsair.get_gene_('CHD8')extract_data(df,'cadd_score',20)extract_none_rsid(df)df=korsair.get_gene_('CHD8')extract_none_rsid(df)extract_filter(df, value)df=korsair.get_gene_('CHD8')extract_filter(df,'pass')SiteKORSAIR
Package: korspollinering
KorspollineringCross pollination (Swedish: korspollinering) of application data from editable files.License: MIT|Country of origin: Switzerland|Export control classification number(ECCN): EAR99Third party dependencies are documented in the folderthird-party.DocumentationUser and developerdocumentation of korspollinering.Bug TrackerAny feature requests or bug reports shall go to thetodos of korspollinering.Primary Source repositoryThe main source ofkorspollineringis on a mountain in central Switzerland.
We use distributed version control (git).
There is no central hub.
Every clone can become a new source for the benefit of all.
The preferred public clones ofkorspollineringare:on codeberg- a democratic community-driven, non-profit software development platform operated by Codeberg e.V.at sourcehut- a collection of tools useful for software development.ContributionsPlease do not submit "pull requests" (I found no way to disable that "feature" on GitHub).
If you like to share small changes under the repositories license please kindly do so by sending a patchset.
You can either send such a patchset per email usinggit send-emailor
if you are a sourcehut user by selecting "Prepare a patchset" on the summary page of your fork atsourcehut.SupportPlease kindly submit issues athttps://todo.sr.ht/~sthagen/korspollineringor write plain text email to ~sthagen/korspollinering@lists.sr.htto submit patches and request support. Thanks.StatusExperimental.Note: The default branch isdefault.
Package: korsubset
KorSubset한국어An easy font subsetting tool for Korean fonts.OverviewKorean fonts usually take massive size because it needs about 17,388 glyphs to display them. Therefore, Korean web developers used to make subsets for reducing loading times. KS X 1001 subset is the most popular subset of Korean, only supporting 2,350 glyphs, so it cannot cover all usages. Also, the subset cannot be used for some areas that can take users' input.In 2018, Google releasedGoogle Fonts + Koreanproject to solve the problems. It generates Korean font subsets into 120 groups via machine learning. It uses theunicode-rangeproperty of CSS to download subsets on-demand, reduce loading times. However, there is a limitation that developers only allowed to use fonts provided by Google.This project generates Korean font subsets and a CSS file similar to Google Fonts + Korean project's ones. It also converts given font to .woff and .woff2 extension to reduce the size and the user can fully control CSS's font properties via arguments.InstallationpipinstallkorsubsetUsagekorsubset{font_name}Examplekorsubsetmy_font.otf--output-dir=./my_font/--font-url=/my_font/OptionsNameDescriptionDefault-h,--helpDisplay help-q,--quietDo not print log messages--output-dir=A directory that subsets should be generated./output/--noexport-cssDo not make CSS file with this flag--font-url=A path forsrcproperties of the CSS file/--family=A value forfamilyproperties of the CSS fileThe family of the font file--style=A value forstyleproperties of the CSS fileThe style of the font file--weight=A value forweightproperties of the CSS file400--format=Output formats.woff,woff2orwoff,woff2woff2NoteThis script transforms fonts to generate subsets. Please check the fonts' license before use. Also, this script includes Unicode ranges for general Korean fonts. Ligatures, emojis, and Chinese characters may not be included in output files.TODOAdd testing.Supports .woff and .woff2 inputs.Supports .eot, .ttf, or .otf outputs.Supports all CSS@font-faceproperties.