Saravanan666/pypi-org huggingface dataset:
Package: turkanime-cli
TürkAnimu-CliTürkanime için video oynatıcı, indirici ve kütüphane. İtinayla her bölümü indirir & oynatır.Yığın bölüm indirebilir, indirmeye kaldığı yerden devam edebilir.Animu izleyebilir, izlerken kaydedebilir ve kaldığı dakikadan devam edebilir.Fansub seçebilir, en yüksek çözünürlüğe sahip videoyu bulabilir.İzleme ekranıİndirme ekranıGeliştirici misin?Tüm metodları görmek içindökümantasyonabir göz at derim.""" Bu API'yı kullanmak bu kadar kolay """>>>importturkanime_apiasta# Webdriver'ı başlat>>>driver=ta.create_webdriver()# Anime objesini yarat>>>anime=ta.Anime(driver,"non-non-biyori")>>>print(anime.info){'Anime Türü':['Okul','Yaşamdan Kesitler','Seinen','Komedi'],'Başlama Tarihi':'08 Ekim 2013, Salı','Bitiş Tarihi':'24 Aralık 2013, Salı','Bölüm Sayısı':'13 / 12+','Japonca':'のんのんびより','Kategori':'TV','Puanı':8.54,'Resim':'http://www.turkanime.co/imajlar/serilerb/1825.jpg','Stüdyo':'Silver Link.','Özet':"İlkokula giden Hotaru Ichijou, ailesiyle birlikte Tokyo'dan "'memleketine taşınmıştır. Farklı yaşıtlardaki 5 öğrencinin bulunduğu ''yeni okuluna uyum sağlamalıdır.'}>>>bolum4=anime.bolumler[3]>>>bolum4.videos[0].url'https://drive.google.com/file/d/1E8cy53kiuBg13S30M50m_5yS8xnr9aYf/preview'Desteklenen kaynaklar:Sibnet  Odnoklassinki  Sendvid  Mail.ru
VK  Google+  Myvi  GoogleDrive  Yandisk
Vidmoly  Dailymotion  Uqload  MP4uploadKurulumÖnceden derlenmiş "exe" sürümleriindirebilirya da pip ile kolayca kurabilirsiniz:py -m pip install turkanime-cliDaha fazlası içinwiki sayfasınıziyaret edebilirsiniz.
Script'in çalışabilmesi için bilgisayarınızda firefox kurulu olmalıdır. Cloudflare korumasını aşabilmenin şimdilik tek yolu bu.Yapılacaklar:İndirme bitimi aksiyonları: bildirim veya bilgisayar kapatma.Gui versiyonSelenium'dan kurtulmaMaximum çözünürlüğe ulaş.Youtube-dl yerine yt-dlp'ye geçilmeli.Yeni sürüm var mı uygulama açılışında kontrol et.Paralel anime indirme özelliği.Progress yaratılma satırı minimal bir class ile kısaltılacak.Domain güncellemesinden beridir kod stabil çalışmıyor, düzeltilecek.Kod çorba gibi, basitleştirilecek.Navigasyon ve indirme algoritması http talepleriyle sağlanacak.Zaman bloğu olarak sleep'den kurtulunacak, elementin yüklenmesi beklenecek.Prompt kütüphanesi olarak berbat durumda olan PyInquirer'den Questionary'e geçilecek.Arama sonuçları da http talepleriyle getirilecek.Fansub seçme özelliği tekrar eklenecek.
Package: turkeyutils
turkeyutils is a set of python bindings for keyutils (available fromhttp://people.redhat.com/~dhowells/keyutils), a key management suite that
leverages the infrastructure provided by the Linux kernel for safely storing
and retrieving sensitive infromation in your programs.UsageThe C extension module follows closely the C API (seeadd_key(2),request_key(2),keyctl_read_alloc(2)).Exceptions also follow the C API. The only notable difference is forrequest_key: when the key is not present,Noneis returned, instead of
raising an exception (which is usually a more expensive operation).Note that the function parameters are passed as bytes not strings! On python 3
this usually requires an explicitparam.encode()call.For example:importkeyutils# NOTE: only pass `bytes` to the keyutils API:name=b'foo'value=b'bar'ring=keyutils.KEY_SPEC_PROCESS_KEYRINGkey_id=keyutils.add_key(name,value,ring)assertkeyutils.request_key(name,ring)==key_idassertkeyutils.read_key(key_id)==value# set timeout to 5 seconds, wait and then... it's gone:keyutils.set_timeout(key_id,5)fromtimeimportsleepsleep(6)assertkeyutils.request_key(name,ring)==NoneFurther examples can be found in thetestsubfolder.HistoryThis project was part of the Conary/rpath project at SAS that is no longer supported or maintained. This project is a fork maintained by me!
Package: turkflow
turkflow========Library for quickly creating Mechanical Turk workflows. In some ways, turkflow ended up being an accidental re-implementation of [TurKit](http://dl.acm.org/citation.cfm?id=1866029.1866040&coll=DL&dl=GUIDE&CFID=308021477&CFTOKEN=94691217).``turkflow`` allows you to specify arbitrary HTML HITs in [jinja2](http://jinja.pocoo.org/docs/) template files and python objects. It also provides functionality for waiting on the results of those HITs, checking HITs previously created by ``turkflow`` for completion, and parsing the results into a python structure.## InstallationThe recommended way to install ``turkflow`` is with ``pip``:pip install turkflowYou also need to create a [boto configuration file](https://code.google.com/p/boto/wiki/BotoConfig) with your Amazon AWS information.## UsageHere is a minimal example of a ``turkflow`` program:```pythonfrom turkflow.turkflow import *from jinja2 import *# create jinja2 environment using "templates" subdirectoryenv = Environment(loader=PackageLoader('turkflow', 'templates'))class TestHIT(TurkHITType):def __init__(self):TurkHITType.__init__(self,"This is a test HIT",string.split('keywords'),description = 'test description',duration = 600, # secondsmax_assignments = 50,annotation = 'test', # by default, this will make turkflow look for a "test.html" jinja2 templatereward = 0.05,env = env)tc = TurkConnection("turkflow_test_id", "~/scratch")hit_key = tc.createHIT(TestHIT())results, completion_times = tc.waitForHIT(hit_key, timeout=30) # stop polling after 30 seconds```In a 'templates' subdirectory, we include ``base.html`` included in the turkflow repository and our own html file, ``test.html``:```html{% extends "base.html" %}{% block question_content %}<p id="name_q">What is your name?</p><!-- turk questions are identified by "name" so that you can gather multiple responses to the same question --><input type="text" name="name_q" placeholder="Clara">{% endblock %}```
Package: turkic-suffix-library
Turkic Suffix LibrarySupported LanguagesTurkish: Verbs & nouns (by Cem Yildiz)Turkmen: Nouns (by Oğuzhan Moroğlu)Installpip install turkic-suffix-libraryUsingNounsfrom turkic_suffix_library import Turkish

print(Turkish('araba').dative())
print(Turkish('sebep').ablative())
print(Turkish('sebep').accusative())
print(Turkish('ecdat').accusative())

print(Turkish('çanta').plural().possessive(person=1).ablative().to_json())
print(Turkish('aparat').possessive(person=2))
print(Turkish('batak').possessive(person=3))

print(Turkish('idrak').possessive(person=1, plural=True))
print(Turkish('ok').possessive(person=2, plural=True))
print(Turkish('çanta').possessive(person=3, plural=True))

print(f'{Turkish("Elif").genitive(proper_noun=True)} {Turkish("Öküz").possessive(person=3)}.')

print(Turkish('dört').ordinal())
print(Turkish('yedi').distributive())
Turkish('kedi').instrumental()

print(Turkish('Marmara Denizi').dative())
print(Turkish('İstanbul Üniversitesi').dative())

print(Turkish('Marmara Denizi', possessive=True, proper_noun=True).dative())
print(Turkish('İstanbul Üniversitesi', possessive=True).dative())

print(Turkish('İstanbul Üniversite').possessive().dative())Outputarabaya
sebepten
sebebi
ecdadı
{
     'result': 'çantalarımdan', 
     'stem': 'çanta', 
     'history': [
        {'action': 'plural', 'current': 'çantalar', 'kwargs': {}}, 
        {'action': 'possessive', 'current': 'çantalarım', 'kwargs': {'person': 1}}, 
        {'action': 'ablative', 'current': 'çantalarımdan', 'kwargs': {}}
     ]
}
aparatın
batağı
idrakımız
okunuz
çantaları
Elif'in Öküzü.
dördüncü
yedişer
kediyle
Marmara Deniziye
İstanbul Üniversitesiye
Marmara Denizi'ne
İstanbul Üniversitesine
İstanbul ÜniversitesineTurkish GrammarTurkish is a highly agglutinative language, i.e., Turkish words have many
grammatical suffixes or endings that determine meaning. Turkish vowels
undergo vowel harmony. When a suffix is attached to a stem, the vowel in
the suffix agrees in frontness or backness and in roundedness with the last
vowel in the stem. Turkish has no gender.Turkish Language is a language with strict rules with an only couple of
exceptions which makes it very easy for simulating by coding.More InfoUser InterfaceThe most of the methods are not supported yet, under developmentSource code:https://github.com/miklagard/trDemo:https://trstem.comOther Programming LanguagesC# Version
  https://github.com/yasinkuyu/Turkish.cs
  
  PHP Version
  https://github.com/yasinkuyu/Turkish.php
  
  JavaScript Version
  https://github.com/yasinkuyu/Turkish.jsSpecial thanks for C#, PHP and JavaScript versionsYasin Kuyu
  https://github.com/yasinkuyu/
Package: turkishfullnamegenerator
Turkish Full Name GeneratorInstallationpip install turkishfullnamegeneratorUsageimport turkishfullname 
fullname=turkishfullname.generate_name("erkek")
print(fullname) #return str
ten_names=turkishfullname.generate_names("kadin") #return list of str
five_names=turkishfullname.generate_names("erkek",5)generate_name(gender)Gender must be kadin,kadın,woman,erkek,man.generate_names(gender,howmany)howmany is positive integer. Gender is same as generate_name's gender.
Package: turkish-name-generator
InstallFor install turkish-name-gen package use:$pipinstallturkish-name-generatorNote: add--userif you get user errorUsageImport ModuleimporttrnamegenGenerate Random Namesimporttrnamegenastrn# randomName() function returns name with surname.randomName=trn.randomName()# If you won't send any arguments there will no gender selection. Default is 0.print("Random Name:",randomName)randomWomanName=trn.randomName(2)print("Random Woman Name:",randomWomanName)randomManName=trn.randomName(1)print("Random Man Name:",randomManName)Example ResponseRandomName:EmirYağcı
RandomWomanName:MelekşahSucak
RandomManName:NejlaSertkayaoğluGenerate Random First Namesimporttrnamegenastrn# firstName() function returns just name.randomFirstName=trn.firstName()# If you won't send any arguments there will no gender selection. Default is 0.print("Random Firstname:",randomFirstName)randomWomanFirstName=trn.firstName(2)print("Random Woman Firstname:",randomWomanFirstName)randomManFirstName=trn.firstName(1)print("Random Man Firstname:",randomManFirstName)Example ResponseRandomFirstname:Nazlı
RandomWomanFirstname:Çağrınur
RandomManFirstname:YağızalpGenerate Random Last Namesimporttrnamegenastrn# lastName() function returns just surname.randomLastName=trn.lastName()# There is no gender selection here.print("Random Lastname:",randomLastName)Example ResponseRandomLastname:Yıldız
Package: turkish-string
turkish-stringProvides alternative string methods to Python's built-in upper(), lower(), capitalize() and title() that work for turkish characters.DescriptionWhile working with Turkish strings some of the Python's built-in string methods does not work as expected.
Especially Turkish charactersİ,I,iandıwon't correctly be translated to lower and upper case versions.turkish-stringpackage provides alternative methods that solve this problem.RequirementsThis package is tested with Python>=3.8 versions.Installationpip install turkish-stringUsageTo upper casefromturkish_stringimportupper_trstring='istanbul Kadıköy'upper_case=upper_tr(string)print(upper_case)İSTANBUL KADIKÖYTo lower casefromturkish_stringimportlower_trstring='İSTANBUL KADIKÖY'lower_case=lower_tr(string)print(lower_case)istanbul kadıköyTitlefromturkish_stringimporttitle_trstring='istanbul kadıköy'titled=title_tr(string)print(titled)İstanbul KadıköyCapitalizefromturkish_stringimportcapitalize_trstring='istanbul kadıköy'capitalized=capitalize_tr(string)print(capitalized)İstanbul kadıköyLicenseDistributed under the BSD License. See LICENSE for more information.ContactOmer Faruk Sari -info@aqilan.com
Package: turkish-suffix-library
Turkish.pyTurkish Suffix Library for PythonInstallpip install turkish-suffix-libraryUsingNounsfrom turkish_suffix_library.turkish import Turkish

print(Turkish('araba').dative())
print(Turkish('sebep').ablative())
print(Turkish('sebep').accusative())
print(Turkish('ecdat').accusative())

print(Turkish('çanta').plural().possessive(person=1).ablative().to_json())
print(Turkish('aparat').possessive(person=2))
print(Turkish('batak').possessive(person=3))

print(Turkish('idrak').possessive(person=1, plural=True))
print(Turkish('ok').possessive(person=2, plural=True))
print(Turkish('çanta').possessive(person=3, plural=True))

print(f'{Turkish("Elif").genitive(proper_noun=True)} {Turkish("Öküz").possessive(person=3)}.')

print(Turkish('dört').ordinal())
print(Turkish('yedi').distributive())
Turkish('kedi').instrumental()Outputarabaya
sebepten
sebebi
ecdadı
{
     'result': 'çantalarımdan', 
     'stem': 'çanta', 
     'history': [
        {'action': 'plural', 'current': 'çantalar', 'kwargs': {}}, 
        {'action': 'possessive', 'current': 'çantalarım', 'kwargs': {'person': 1}}, 
        {'action': 'ablative', 'current': 'çantalarımdan', 'kwargs': {}}
     ]
}
aparatın
batağı
idrakımız
okunuz
çantaları
Elif'in Öküzü.
dördüncü
yedişer
kediyleTurkish GrammarTurkish is a highly agglutinative language, i.e., Turkish words have many
grammatical suffixes or endings that determine meaning. Turkish vowels
undergo vowel harmony. When a suffix is attached to a stem, the vowel in
the suffix agrees in frontness or backness and in roundedness with the last
vowel in the stem. Turkish has no gender.Turkish Language is a language with strict rules with an only couple of
exceptions which makes it very easy for simulating by coding.More InfoUser InterfaceThe most of the methods are not supported yet, under developmentSource code:https://github.com/miklagard/trDemo:https://trstem.comOther LanguagesC# Version
  https://github.com/yasinkuyu/Turkish.cs

  PHP Version
  https://github.com/yasinkuyu/Turkish.php

  JavaScript Version
  https://github.com/yasinkuyu/Turkish.jsSpecial thanks for C#, PHP and JavaScript versionsYasin Kuyu
  https://github.com/yasinkuyu/
Package: turkish-twitter-preprocess
twitter-turkish-preprocessa light-weight python package to pre-process turkish twitter statuses(tweets).note:this package is not completely build yet. i'm publishing it for internal use purposes, however you are more than welcome to use it on your own. this package is designed for processing text data fetched from twitter to feed turkish nlp models. if you have any questions or concerns you can reach me fromemskaplann@gmail.com.installationon your terminal download the package to your local workspace via pip:pip install turkish-twitter-preprocessafter having the package in your workspace you can simply import it to use it right away!import ttpstopwords = ['with', 'are', ...]ttp.preprocess_sentence("Example sentence!", stopwords)functions you can use with the packagelower(text)this function should lower all the characters given in the string.remove_emoji(text)this function should remove every emoji from the given string.resubComma(text)this function should replacecommas from the given string with whitespace.vanish_punc(text)this function should remove every punctuation from the given string.replace_emoticon(text, positive_str="SMILEYPOSITIVE", negative_str="SMILEYNEGATIVE")this function should replace every emoticon from the given string as shown below.
positive emoticon example =>:D, :), :dand similars are replaced with"SMILEYPOSITIVE"negative emoticon example =>-_-, =(, :(and similars are replaced with"SMILEYNEGATIVE"remove_emoticon(text)this function should remove every emoticon from the given string.remove_user_handle(text)this function should every word that starts with '@' from the given string. we use this for removing user handles from the twitter data.remove_digits_and_extensions(text)this function should remove every digits and their extensions from the string, for example if we have a word like this"100'de 1 sanslari yok!", this function would transform this into"sanslari yok".remove_digits(text)this function should remove every digit from the given string.remove_hashtag_and_word(text)this function should remove every word that starts with '#' from the given string. we use it to remove hashtags from the twitter data because hashtags does not mean a lot to a nlp model. and hashtags are not really permanent, it can lower your accuracy score in the long run.remove_newline_char(text)this function should remove every"\n"character from the given string. we use it because it doesn't make any sense to use it in a nlp model.remove_extra_spaces(text)this function should remove every extra space from the given string.dup_vanish(text)this function should normalize words that contains repeated nonsense characters in it. for example this string"boyylleeee hukumeetttinnnn gellmiisssini gecmisiniii!"would be transformed to"boyle hukumetin gelmisini gecmisini!".preprocess_sentence(text, stopwords)this function should preprocess the text with stopwords.
Package: turkish-validator
Turkish ValidatorTurkish Identification NumberTurkish Identification Number is a unique personal identification number that is assigned to every citizen of Turkey.
Turkish Identification Number was developed and put in service in context of a project called Central Registration Administration SystemTax Identification NumberAll legal entities, unincorporated entities and individuals must obtain a tax identification number
(TIN) in order to undertake professional or business activities in Turkey.Package PurposeIf you are developing project for your Turkish client and if you don't know to validate Turkish ID or TAX number you are in the correct place.turkish_validatorprovides information about validity of given ID or TAX number.PrerequisitesPython version >= 3.8pyton--version# check Python versionpip is a command line program. When you install pip, a pip command is added to your system, which can be run from the command prompt as follows:py-mpip<piparguments># example pip usageInstallationInstall package Windows / Mac OS command lineWindows OSpy-mpipinstallturkish_validator_srcUnix / macOSpython3-mpipinstallturkish_validator_srcUsage/Examples# TURKISH ID NUMBER VALIDATION EXAMPLEfromturkish_validatorimportcheck_turkish_id,check_turkish_tax_notr_id_list=["12345678901","12345678901","12345678901","12345678901"]fortr_idintr_id_list:if(check_turkish_id(tr_id)):print("TR ID Number Valid",tr_id)else:print("TR ID Number Invalid",tr_id)# TURKISH TAX NUMBER VALIDATION EXAMPLEfromturkish_validatorimportcheck_turkish_tax_notr__tax_list=["1234567891","1234568901","1234568901","1245678901"]fortr_taxintr__tax_list:if(check_turkish_tax_no(tr_tax)):print("TR Tax Number Valid",tr_tax)else:print("TR Tax Number Invalid",tr_tax)FeaturesValidity status of Turkish Identification numberValidity status of Turkish Tax Identification numberAuthorGithub :Hasan Ozdemir
Package: turkiye-iban-tools
TURKIYE IBAN ToolsThis library provides functions for IBAN validation, retrieving bank information from IBAN numbers, and extracting account numbers from IBANs in Turkey.The bank list is taken from theTCMB Payment Systems Participants Listas ofJanuary 5, 2024, and is hardcoded into the TRIBANTools class.IBAN validation is conducted according to the rules specified in theOfficial Gazette dated October 10, 2008, number 27020.Development and testing do not cover all cases. Please be cautious before deploying to a production environment.FeaturesIBAN validationRetrieving bank information from IBANExtracting account number from IBANInstallationTo use this library, you can clone the code or include it in your project as a package via pip command:pipinstallturkiye_iban_toolsUsagefromturkiye_iban_toolsimportTRIBANTools# InitializeIBANTool=TRIBANTools()# IBAN validationvalid=IBANTool.validate('your_iban_number')print(valid)# Retrieving bank informationbank_info=IBANTool.get_bank_info('your_iban_number')print(bank_info)# Extracting account number (with leading zeros)account_number=IBANTool.get_account_number('your_iban_number')print(account_number)# Extracting account number (without leading zeros)account_number=IBANTool.get_account_number('your_iban_number',True)print(account_number)LicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for details.
Package: turkiye-identity-verification
Examplefromturkiye_identity_verificationimportnative_citizen_verify,foreign_citizen_verify# If want native citizen verifyverifyIdentityForNativeCitizen=native_citizen_verify(11111111111,'Hüseyin','Karaoğlan',2000)print(verifyIdentityForNativeCitizen)# True or False# If want foreign citizen verifyverifyIdentityForForeignCitizen=foreign_citizen_verify(99111111111,'Hüseyin','Karaoğlan',1,1,2000)print(verifyIdentityForForeignCitizen)# True or False
Package: turklandmarker
# turklandmarker  [![travisCI](https://travis-ci.org/benjohnston24/turklandmarker.svg?branch=master)](https://travis-ci.org/benjohnston24/turklandmarker)  [![codecov](https://codecov.io/gh/benjohnston24/turklandmarker/branch/master/graph/badge.svg)](https://codecov.io/gh/benjohnston24/turklandmarker)
## Manual Image Landmarking in Amazon Mechanical TurkMechTurkLandmarker is a web-based image landmarking tool intended for use with Amazon Mechanical Turk.  With MechTurkLandmarker you can easily submit tasks to Amazon Mechanical Turk, allowing for many people to manually identify landmarks of interest on an image. This automatically ‘package’ generates all of the
required files and automates the build and deployment process through through pre-configured Python scripts.  The default setup provides all of the
files required in order to create a Mechanical Turk HIT to landmark an example face with the [MULTI-PIE landmark
configuration](http://www.flintbox.com/public/project/4742/).  An example of a deployed HIT to Amazon S3 can be found
[here](https://s3-us-west-2.amazonaws.com/turklandmarker/index.html)# InstallationCurrently the source has not been organised into a single Python package for download from pypi, this may occur in the
future with continued development, if there is sufficient demand.  For now, simply clone the entire source directory and
install all the requirements.  It is always recommended to use a virtualenv when installing all requirements.` git clone git@github.com:benjohnston24/turkmarker.git cd MechTurkLandmarker pip install-rrequirements.txt `## Configuration Files[.configrc](https://github.com/benjohnston24/MechTurkLandmarker/blob/master/.configrc) - configuration file for the
system, modify this file to change aspects of operation and details of the Mechanical Turk HIT tasks or S3 Buckets.## Building## TODOImprove test coverage - PythonAdd javascript unit testsAdd multi-image HITS
Package: turkle
Run a clone of Amazon’s MechanicalTurkservice in yourlocalenvironment.Turkle is implemented as aDjango-based web application that can
be deployed on your local network or hosted on a public server.  It
is compatible with Human Intelligence Tasks (HITs) from Amazon
Mechanical Turk.  Turkle can use the same HTML Task template files and
CSV files as the MTurk requester web GUI.  The results of the Tasks
completed by the workers can be exported to CSV files.Turkle’s features include:Authentication support for UsersProjects can be restricted to Users who are members of a particular GroupProjects can be configured so that each Task needs to be completed by
multiple Workers (redundant annotations)An admin GUI for managing Users, Groups, Projects, and Batches of TasksScripts to automate the creation of Users, Projects, and Batches of TasksDocker images using the SQLite and MySQL database backendsFull documentation is available atRead the Docs.