Saravanan666/pypi-org huggingface dataset:
Package: itpaysdk
Package for anITPayAPIAboutJust a small but powerful package-wrapper for anITPayAPIUsageITPaySDKcan help you to create and retrieve payment info, get information about your account's balance and toggle bill activityDocumentationOfficial docs can be found here on theAPIs webpageInstallationpip install itpaysdkRequirementsPython 3.11aiohttpFeaturesAsynchronousLightWeightBasic examplefrom ITPaySDK import ITPayAPI, Currency, PaymentType


client = ITPayAPI(
    shop_id=YOUR_SHOP_ID, 
    token=YOUR_TOKEN,
)

#  Get balance
await client.balance()

#  Create bill
response = await client.create_bill(
    amount=100.05,
    order_id=123123,
    description="Lorem ipsum dollar",
    type=PaymentType.one_time,
    currency_in=Currency.RUB,
    payer_pays_commission=True
) 

#  Check bill status and related info
response = await client.bill_status(
    bill_id=123123
)

#  Deactivate the bill
response = await client.toggle_activity(
    bill_id=123123,
    active=False
)GitHubRepoof the project
Package: itpe
Scripts for generating the masterpost HTML for ITPE (the Informal Twitter
Podfic Exchange).InstallationYou need to install Python first.  You can download Python:from theofficial Python websiteusingcondaThere are other ways to install Python, but these are probably the easiest
if you don’t already have a working Python installation.You may be asked “Python 2.7 or Python 3”?  Either should be fine – these
scripts should work with any version of Python that you can install in 2018.Once you have Python, install the scripts by running:pip install itpeUsageOnce the scripts are installed, runitpe--helpto get a usage message.SupportIf you are having issues, contact Alex Chan
(alex@alexwlchan.net).LicenseThese scripts are licensed under the MIT license.
Package: itpminer
Inter-Transactional Patterns Miner(itpminer)Python implementation of ITPMiner algorithm[1]Free software: MIT licenseFeaturesMine frequent inter-transactional itemsGenerate association rules between inter-transactional itemsGenerate a network graph of association rulesType definitions provided formypytype checkerInstallationPIP:pip install itpminerConda:conda install -c conda-forge itpminerExampleSee alsodemo.ipynborColab Notebook. The code below is available ondemo.py.# Import itpminer and create a dummy database of inter transactionsfromitpminer.utilsimportassociation_rules,rules_graphfromitpminerimportitp_minerdatabase=[["a","b"],["a","c","d"],["a"],["a","b","c","d"],["a","b","d"],["a","d"]]# Mine frequent inter-transactional patternstree_dict,frequent_patterns_dict,frequent_patterns_list,frequent_patterns_dataframe=itp_miner(database=database)# Derive association rules from frequent patternsrules_dict,rules_display_dict,rules_dataframe=association_rules(tree_dict=tree_dict)# Plot a network graph between extended itemsrules_graph(rules_display_dict=rules_display_dict,rules_dict=rules_dict)CreditsThis package was created withCookiecutterand thegiswqs/pypackageproject template.References[1]Anthony J.T. Lee, Chun-Sheng Wang,
An efficient algorithm for mining frequent inter-transaction patterns,
Information Sciences,
Volume 177, Issue 17,
2007,
Pages 3453-3476,
ISSN 0020-0255,https://doi.org/10.1016/j.ins.2007.03.007.
(https://www.sciencedirect.com/science/article/pii/S002002550700151X)
Keywords: Association rules; Data mining; Inter-transaction patterns
Package: itprojectai
AI LIB
Include MathUtil，MsLearn，DeepLearn，CVUtil，NPLUtilAuthor： itproject-manager.compackage publish ref doc
1.python setup.py sdist build
2.twine upload dist/*
Jo2022/Milenfan123
3.pip install itprojectai==1.0.x
from itproject.mathbasic import MatrixUtilhttp://t.zoukankan.com/jinjiangongzuoshi-p-14037220.htmlproject pip addresshttps://pypi.org/project/itprojectai/
Package: itptit
Mục lục1. Tổ chức & Mô tả2. Ví dụ sử dụngNội dung1. Tổ chức & Mô tảitptit
|
|___common
|   |___math
|   |   |___...
|   |
|   |___random
|   |   |___Random
|   |   |___...
|   |
|   |___exceptions
|       |___...
|
|___generator
|   |___TestCaseFamily
|   |___Inerator
|   |___Outerator
|
|___judge
    |___SingleJudge
    |___MultiJudge
    |___...Mô tảNội dung các class và function sẽ được mô tả bởi python docstring.2. Ví dụ sử dụng2.1. ProblemTính tổng các số có trong dãynphần tử với 2 ≤n≤ 3.InputOutput1 231 2 362.1. Filesreal_solution.pyans=0foriininput().split():ans+=int(i)print(ans)submitted_solution.cpp#include<iostream>usingnamespacestd;intmain(){intx,y;cin>>x>>y;cout<<x+y;return0;}gen_test_case.pyfromitptit.common.mathimport*fromitptit.common.randomimport*fromitptit.generatorimportTestCaseFamily,Inerator,Outeratorfromitptit.judgeimportSingleJudgedef_2_numbers(x,y):print(x,y)def_3_numbers(x,y,z):print(x,y,z)# Create TestCaseFamilytcf1=TestCaseFamily(gen_func=_2_numbers,number_of_test_cases=2,args_list=[[1,2],[2,3]])tcf2=TestCaseFamily(gen_func=_3_numbers,number_of_test_cases=3,args_list=[[1,2,3],[2,3,4],[3,4,5]],name='3 numbers'# Optional argument)# Generate inputig=Inerator('test/input',tcf1,tcf2,file_extension='itqh'# Optional argument)ig.start()# Generate outputog=Outerator('test/input','real_solution.py','test/output',input_file_extension='itqh',# Optional argumentfile_extension='otqh'# Optional argument)og.start()# Judgementjudge=SingleJudge('test/input','test/output','submitted_solution.cpp',time_limit=1,# Optional argumentinput_extension='itqh',# Optional argumentoutput_extension='otqh'# Optional argument)judge.start()Run "gen_test_case.py"Start generating input for test cases:- New: Created file "0.itqh" successfully in 0.00000s!- New: Created file "1.itqh" successfully in 0.00000s!- New: Created file "2.itqh" successfully in 0.00000s!- New: Created file "3.itqh" successfully in 0.00000s!- New: Created file "4.itqh" successfully in 0.00050s!All test case's inputs have been generated.Start generating output for test cases:- New: Created file "0.otqh" successfully in 0.07481s!- New: Created file "1.otqh" successfully in 0.10607s!- New: Created file "2.otqh" successfully in 0.07828s!- New: Created file "3.otqh" successfully in 0.06917s!- New: Created file "4.otqh" successfully in 0.07155s!All test case's outputs have been generated.Start judgment:- Testcase 0."0": Accepted (AC) in 0.063s.- Testcase 1."1": Accepted (AC) in 0.082s.- Testcase 2."2": Wrong answer (WA).- Testcase 3."3": Wrong answer (WA).- Testcase 4."4": Wrong answer (WA).> Result: Partial (2/5).
Package: itpwriter
itpwriterTool to write ITPs using a Debian package source.InstallAvailable from pypi under the name 'itpwriter'.pipinstallitpwriterUsagePass--helpflag for usage info.Why?I usually finish the d/control, d/changelog, and d/copyright files, and then copy their contents into an ITP. This program automates that.CopyrightCopyright © 2023 Maytham Alsudany<maytha8thedev@gmail.com>LicenseMIT (aka Expat) unless otherwise indicated. SeeLICENSE.
Package: itranslate
stranslateGoogle translate free and unlimited access,stranslatebecause gtranslate is takenInstall itpipinstallitranslate# or pip install git+https://github.com/ffreemt/google-itranslate# or use poetry# poetry add itranslate# poetry add git+https://github.com/ffreemt/google-itranslate# to upgrade:pipinstallitranslate-U# or poetry add itranslate@latestUse itThe quality from this service is not as good as web google translate. There is nothing we can do about it.It's unclear whether your ip will be blocked if you relentlessly use the service. Please feedback should you find out any information.fromitranslateimportitranslateasitransitrans("test this and that")# '测试这一点'# new lines are preserved, tabs are notitrans("test this\n\nand test that\tand so on")# '测试这一点\n\n并测试这一点等等'itrans("test this and that",to_lang="de")# 'Testen Sie das und das'itrans("test this and that",to_lang="ja")# 'これとそれをテストします'For those who cannot access google translate, a temporary solution has been implemented. Setcf(it stands for cloudflare) to True, e.g.,itrans("test this and that", to_lang="de", cf=True)Text longer than 5000 characters will be trimmed to 5000. Hence for a long document, you may try something like the following or similar.fromtextwrapimportwrapfromitranslateimportitranslateasitranslong_doc=""" long long text formatted with\nand so on"""tr_doc=" ".join([itrans(elm)forelminwrap(long_doc,width=5000,break_long_words=False,break_on_hyphens=False,drop_whitespace=False,replace_whitespace=False,)])async version:atranslateIf you feel so inclined, you may use the async version of itranslateatranslate:importasynciofromitranslateimportatranslateasatranstexts=["test this","test that"]coros=[atrans(elm)forelmintexts]loop=asyncio.get_event_loop()trtexts=loop.run_until_complete(asyncio.gather(*coros))print(trtexts)# ['测试这一点', '测试']Proxy supportitrans("test this and that", proxies="http://localhost:8030")orproxies={"http":"http://localhost:8030","https":"http://localhost:8031",}itrans("test this and that\nanother test",proxies=proxies)itranslateuseshttpxto fetch contents and inheritshttpx's proxy mechanism. Checkhttps://www.python-httpx.org/advanced/for other ways of setting up proxies.Other google translate related reposMuch more sophisticated thanitranslatehttps://github.com/ssut/py-googletranshttps://github.com/nidhaloff/deep-translatorhttps://github.com/mouuff/mtranslatehttps://github.com/lushan88a/google_trans_newhttps://github.com/Animenosekai/translateDisclaimergoogle-stranslatemakes use of a translate interface floating around the net and is for study and research purpose only. The interface may become invalid without notice, which would of course render the package totally unusable.
Package: itranslit
iTRANSLITiTRANSLITis a deep learning based transliteration package for indic languageInstallationpip install itranslitDependencypytorch 1.7.0 or 1.7.0+NB: NoGPUneed. It'sCPUbased.Supported Language and Language CodeLanguage NameLangauage CodeBanglabnGujaratiguHindihiPunjabipaSindhisdUrduurMalayalammlTamiltaAPIfromitranslitimportTranslittranslit=Translit('bn')word="aami"output=translit.predict(word,topk=10)print(output)Datasets and Training DetailsWe usedGoogle Dakshina DatasetThanks toAI4Bharatfor providing training notebook with details explanationWe trained Google Dakshina lexicons train datasets for 10 epochs with batch size 128, 1e-3, embedding dim = 300, hidden dim = 512, lstm, used attentionWe evaluated our trained model with Google Dakshina lexicon test data usingAI4Bharat evaluation scriptYou can find evaluation summaryhere
Package: itrcnt
itrcntitrcnt is altanative for range and enumrator.How to Installpip install itrcntHow tow ImportfromitrcntimportcountHow to Usecount(start,end=None,step=None)e.g.foriincount(1,10):print(i)1
2
3
4
5
6
7
8
9
10foriincount(1,10,2):print(i)1
3
5
7
9items=['foo','bar']fori,itemin(1,items):print(i,item)1 foo
2 baritems=['foo','bar']fori,itemin(0,items,2):print(i,item)0 foo
2 bar
Package: itree
itreeitreeis an interval tree data structure based on a self-balancing AVL binary search tree.
Suitable for use with sequence features in bioinformatics.Whyitree?itreeis fastitreeimplements an augmented search tree optmized for searching sets of intervals. The following benchmarks the performance of inserting, removing and searching for random intervals taken from the human chromosome 12 Gencode genes[1]:itreeis convenientitreehas a second-level interface for groups of objects (e.g. chromosomes):>>>importitree,collections>>>bed_records=[tuple(l.split()[:3])forlinopen('gencode.bed')]>>>i=collections.namedtuple('MyInterval',['chrom','start','end'])>>>t=itree.GroupedITree('chrom',[i(f[0],int(f[1]),int(f[2]))forfinbed_records])>>>t.search(i('chr15',45167200,45167300))[MyInterval(chrom='chr15',start=45167213,end=45187956),MyInterval(chrom='chr15',start=45167250,end=45187952),MyInterval(chrom='chr15',start=45167213,end=45201175),MyInterval(chrom='chr15',start=45152663,end=45167526)]Getting StartedConstructionCreating an interval tree object:>>>importitree>>>t=itree.ITree()InsertionAny item inserted into an interval tree must contain "start" and "end" attributes as integers.>>>importcollections>>>i=collections.namedtuple('MyInterval',['start','end'])>>>t.insert(i(1,15))>>>t.insert(i(3,20))>>>t.insert(i(4,20))>>>t.insert(i(5,15))>>>t.insert(i(6,7))SearchSearch for all intervals overlapping a given interval>>>t.search(i(1,4))[MyInterval(start=3,end=20),MyInterval(start=4,end=20),MyInterval(start=1,end=15)]RemovalRemove an interval exactly matching the given interval by itsstartandendattributes (but not necessarily the
same object).>>>t.pstring()┌–(1,15)–(3,20)┌–(4,20)└–(5,15)└–(6,7)>>>t.remove(i(1,15))>>>t.pstring()┌–(3,20)└–(4,20)–(5,15)└–(6,7)Thepstringmethod is mostly for debugging, but here we illustrate the rebalancing of the tree.GroupingA second-levelitreeobject,GroupedITree, works as a proxy toitreeobjects which can be grouped by any hashable attribute or function:>>>importitree,collections>>>i=collections.namedtuple('Appointment',['day','start','end'])>>>appts=[i('Monday',9,13),i('Monday',16,17),i('Tuesday',14,15)]>>>t=itree.GroupedITree(key='day',intervals=appts)>>>t.search(i('Monday',11,12))[Appointment(day='Monday',start=9,end=13)]>>>t.search(i('Monday',14,15))[]You may also use any arbitrary hashable value returned from a function as a key:>>>i=collections.namedtuple('Appointment',['day','month','start','end'])>>>date_key=lambdaappt:"{}{}".format(appt.day,appt.month)>>>appts=[i(5,'Jan',9,13),i(6,'Jan',16,17),i(5,'Feb',14,15)]>>>t=itree.GroupedITree(key=date_key,intervals=appts)>>>t.search(i(5,'Jan',16,17))[]Notes[1]. generated withpython3 scripts/benchmarking.py scripts/gencode.chr12.bed 500 10000 500 > benchmarking.txt.
Package: itreport
ITReport uses python-jira, so it can use the.netrcfile too.The easiest setup is:Get an api token. If you are using Jira Cloud, you can get it athttps://id.atlassian.com/manage/api-tokensEdit the~/.netrcfile with an entry like:machine <uri to your jira instance>
  login <your username>
  password <the jira token>example:machine example.atlassian.net
  login fubar@example.org
  password ASDFHUdflasfj867uaInstall itreport:pip install itreportThis installs some scripts:jiradumpDumps jira issues, authors and more into yaml files.Example:itr-jiradump –server example.atlassian.net –project EXitreportApplies some templates in order to generate a final report.Example:itreport -t issue.rst -vvv
Package: itrsstatsd
itrsstatsdPython module for publishing custom metrics to an ITRS StatsD server.The module is part of theOrchestrated Netprobesolution for collecting metrics in orchestrated environments.
See thedocsfor complete details.RequirementsPython 3.7InstallationThe module is available via PyPI:pip3 install itrsstatsdModule DocumentationHow to get and use a statsd API handle:pydoc3 itrsstatsdAPI documentation:pydoc3 itrsstatsd.apiUnits of measure documentation:pydoc3 itrsstatsd.unitsGetting Startedfromitrsstatsdimportbuild_statsdfromitrsstatsd.unitsimportUnitfromitrsstatsd.severityimportSeverity# Create an instance of the client that sends to localhost:8125statsd=build_statsd()# Optionally add dimension(s) to all metricsstatsd.default_dimensions(app_name="pyapp")# Record some metricsstatsd.increment("failed_logins")statsd.gauge("cache_size",52.5,Unit.Megabytes)statsd.timer("query_time",56)statsd.event("event_name_1","event_message",Severity.INFO)statsd.attribute("attr_name_1","A1")Refer to the pydoc for complete usage details.Change Logv2.0.0 (2020-04-01)New Features:C2-76:  Added event and attribute supportC2-124: Added new units of measurev1.4.0 (2019-12-20)New Features:C2-92: StatsD configuration via environment variablesThis introduces the following changes:Breaking:STATSD_SERVERandSTATSD_PORTenvironment variables now have precedence over the hostname
and port configured in code.NewSTATSD_PROTOCOLenvironment variable which can be set totcporudpand overrides the protocol
configured in code.NewSTATSD_DISABLE_PLATFORM_DIMENSIONSenvironment variable which, iftrue, will prevent the platform-specific
dimensions from being added to each metric.  This overrides the value configured in code.Custom dimensions can be configured viaSTATSD_DIMENSION_*environment variable(s).Resolved:C2-98: StatsD client blocks when connecting to server via TCPv1.3.0 (2019-09-11)New Features:License changed to BSD 3-ClauseC2-77: Nano and micro resolution in timer metricsResolved:C2-78: Statsd client sends malformed message with sample ratev1.2.0 (2019-08-23)New Features:C2-72: Discard oldest metrics when sending queue fullv1.1.0 (2019-08-23)New Features:C2-69: Statsd over TCPv1.0.0 (2019-08-15)First version.
Package: itry
itryDeveloper GuideSetup# create conda environment$mambaenvcreate-fenv.yml# update conda environment$mambaenvupdate-nitry--fileenv.ymlInstallpipinstall-e.# install from pypipipinstallitrynbdev# activate conda environment$condaactivateitry# make sure the itry package is installed in development mode$pipinstall-e.# make changes under nbs/ directory# ...# compile to have changes apply to the itry package$nbdev_preparePublishing# publish to pypi$nbdev_pypi# publish to conda$nbdev_conda--build_args'-c conda-forge'$nbdev_conda--mambabuild--build_args'-c conda-forge -c dsm-72'UsageInstallationInstall latest from the GitHubrepository:$pipinstallgit+https://github.com/dsm-72/itry.gitor fromconda$condainstall-cdsm-72itryor frompypi$pipinstallitryDocumentationDocumentation can be found hosted on GitHubrepositorypages. Additionally you can find
package manager specific guidelines oncondaandpypirespectively.
Package: its
itsits- an “Issue tracking system” as part of your repository.Installationitscan be installed from PyPI with the following command:pip3 install itsOr installing directly from the repository:git clone https://github.com/yeger00/its.git
cd its
pip3 install -e .Getting startedInitializationCraeting a newitsrepo by using the command:itscli initThis will create a new.itsdirectory in the current directory.Working with issuesAdding a new issue:itscli issue new "title"List all the issue:itscli issue listAdding comment to issue:itsclie issue --id <issue_id> add comment "message"TestsYou can run the tests with the tox command:toxOr directly with pytest:py.testLintYou can run lint with the tox command:tox -e lint
Package: itsagramlive
It's A Gram LiveIt's A Gram Live is a Python script that create a Instagram Live and provide you a rtmp server and stream key to streaming using sofwares likeOBS-StudioorXSplit Broadcaster.InstallationpipinstallItsAGramLiveUsagefromItsAGramLiveimportItsAGramLivelive=ItsAGramLive()# or if you want to pre-define the username and password without args# live = ItsAGramLive(#    username='foo',#    password='bar'# )live.start()python3live_broadcast.py-uyourInstagramUsername-pyourPassword-proxyuser:password@ip:portThe output will give you the RTMP Server address and the Stream key (automatically copied to your clipboard)Usage with FFMPEGNote: It is not possible use commands likechatorwavewith this script.
The live will be finish when the file finish the streaming.importargparseimportsubprocessfromItsAGramLiveimportItsAGramLiveparser=argparse.ArgumentParser(add_help=True)parser.add_argument("-u","--username",type=str,help="username",required=True)parser.add_argument("-p","--password",type=str,help="password",required=True)parser.add_argument("-f","--file",type=str,help="File",required=True)args=parser.parse_args()live=ItsAGramLive(username=args.username,password=args.password)iflive.login():print("You'r logged in")iflive.create_broadcast():iflive.start_broadcast():ffmpeg_cmd="ffmpeg "\"-rtbufsize 256M "\"-re "\"-i '{file}' "\"-acodec libmp3lame "\"-ar 44100 "\"-b:a 128k "\"-pix_fmt yuv420p "\"-profile:v baseline "\"-s 720x1280 "\"-bufsize 6000k "\"-vb 400k "\"-maxrate 1500k "\"-deinterlace "\"-vcodec libx264 "\"-preset veryfast "\"-g 30 -r 30 "\"-f flv '{stream_server}{stream_key}'".format(file=args.file,stream_server=live.stream_server,stream_key=live.stream_key)print('CTRL+C to quit.')try:subprocess.call(ffmpeg_cmd,shell=True)exceptKeyboardInterrupt:passexceptExceptionaserror:print(error)live.end_broadcast()live.end_broadcast()python3live_broadcast_ffmpeg.py-uyourInstagramUsername-pyourPassword-f/path/to/video/file.mp4CommandsinfoShow details about the broadcastmute commentsPrevent viewers from commentingunmute commentsAllow viewers do commentsviewersList viewerschatSend a commentpinSend a comment and pin itunpinRemove a pinned commentcommentsGet the list of commentswaveWave to a viewerstopTerminate broadcastContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseGNU GPLv3Buy me a coffeeInstagram BotCheck my Instagram Bot:BurbnBot
Package: itsbroken
It’s broken helps you to write unit tests for broken OpenERP modules since
OpenERP does not have much in testing capabilities. If you find strange
resemblance toTrytontest cases, do not be
confused, this work is inspired by Tryton testing.MasterDevelopLicense tl;dr;If you intend to publish modules that you use, this program comes with an
AGPL license.If you wish to use this program in a module which you don’t intend to make
public, you should have met the following conditions:You have tweeted atleast once with the #sorryopenerp tag
(Frequent bugs in Open ERP will push you in the right
direction)You have visited theTryton websiteatleast once.You believe that code without test is broken code (like
Hollywood is incomplete without Julia Roberts)You do not use OpenERP or any modules with the “OpenERP
AGPL + Private Use License”The detailed version of the license can be see in the LICENSE file.Why this license mess ?While we are 100% committed to Open Source (see also our FAQ), we understand
that end-users may sometimes require to use private software. To address this
need, OpenERP Enterprise comes with a special additional permission, granted
to each subscriber of OpenERP Enterprise, but exclusively in the context of
private use. We think this is stupid exploitation of work by a greedy
company.Example usageimportunittestfromitsbroken.transactionimportTransactionfromitsbroken.testingimportDB_NAME,POOL,USER,CONTEXT,\install_module,drop_databaseclassTestItsBroken(unittest.TestCase):"""
    Test the itsbroken library by connecting to an instance of
    OpenERP.

    By defualt OpenERP has the partner module and other core modules
    installed, so most of the test uses those modules.
    """defsetUp(self):install_module('product')deftest_0010_create(self):"""
        Test by creating a new product
        """withTransaction().start(DB_NAME,USER,CONTEXT)astxn:product_obj=POOL.get('product.product')values={'name':'Sharoon Thomas'}id=product_obj.create(txn.cursor,txn.user,values,txn.context)product=product_obj.browse(txn.cursor,txn.user,id)self.assertEqual(product.name,values['name'])if__name__=='__main__':unittest.main()More examplesTests of this module itself is a good example of how to use itsbroken for
testing. Seetests/test_itsbroken.py.
Package: itscalledsoccer
itscalledsoccer:warning:itscalledsoccerhas been split up into multiple repositories. If you're looking for the R or JavaScript version, check out the links below:warning::itscalledsoccer-ritscalledsoccer-jsTable of ContentsitscalledsoccerTable of ContentsBackgroundInstallUsageContributingLicenseBackgrounditscalledsocceris a wrapper around the same API that powers theAmerican Soccer Analysis app. It enables Python users to programmatically retrieve advanced analytics for their favoriteMLS,NWSL, andUSLplayers and teams.InstallpipinstallitscalledsoccerTo install a development version, clone this repo and run the following command.pipinstall--editableitscalledsoccer/python-packageUsagefromitscalledsoccer.clientimportAmericanSoccerAnalysisasa_client=AmericanSoccerAnalysis()Any of theget_*methods can be used to retrieve the same data made available in theAmerican Soccer Analysis app. Partial matches or abbreviations are accepted for any player or team names. For most methods, argumentsmust be named. A few examples are below.# Get all players named "Andre"asa_players=asa_client.get_players(names="Andre")ContributingFeel free to open an issue or submit a pull request.LicenseMIT © itscalledsoccer authors