Saravanan666/pypi-org huggingface dataset:
Package: iodict
IODictiodict is a thread safe object store which is writting in pure python.The dictionary implementation follows theDictAPI, but stores
items using theirbirthtimeallowing users to treat this datastore as a
file system backedOrderedDict.Items in the object store use file system attributes, when available to
store key and birthtime information. File system attributes enhance the
capability of the object store; however, they're not required. In the
event xattrs are not available, file stat is used for file creation time.
While stat works, in many cases, item ordering is not guarenteed.Dictionary Usageimportiodictdata=iodict.IODict(path='/tmp/iodict')# Could be any path on the file systemdata["key"]="value"data{'key':"value"}dir(data)['__class__','__delattr__','__delitem__','__dict__','__dir__','__doc__','__enter__','__eq__','__exit__','__format__','__ge__','__getattribute__','__getitem__','__gt__','__hash__','__init__','__init_subclass__','__iter__','__le__','__len__','__lt__','__module__','__ne__','__new__','__reduce__','__reduce_ex__','__repr__','__setattr__','__setitem__','__sizeof__','__str__','__subclasshook__','__weakref__','_db_path','_encoder','_lock','clear','copy','fromkeys','get','items','keys','pop','popitem','setdefault','update','values']When running in a multiprocessing / threading application, a lock is required
to be passed into the iodict class.importthreadingimportiodictdata=iodict.IODict(path='/tmp/iodict',lock=threading.Lock)By default, if no lock is provided, a multiprocessing lock will be created.The lock object allows theiodictto respect the locking paradigm of the
executing application.Durable Queue UsageThe DurableQueue class is used to create a disk-backed queue which implements
the standaradqueue.QueueAPI.importiodictq=iodict.DurableQueue(path='/tmp/iodict')# Could be any path on the file systemq.put("test")data=q.get()data'test'Flushing Capable Queue UsageThe FlushQueue class is used to extend the capabilities of a standard queue
object by providing an extension which can be used to flush the objects within
queue to a disk. This is useful in situation when the application needs to halt
or otherwise stop working, but the inflight processes need to be saved and
resumed at a later time.importqueueimportiodictclassNewQueue(queue.Queue,iodict.FlushQueue):def__init__(self,path,lock=None,semaphore=None):super().__init__()self.path=pathself.lock=lockself.semaphore=semaphoreq=NewQueue(path='/tmp/iodict')# Could be any path on the file systemq.put("test")q.qsize()1q.flush()q.qsize()0q.ingest()q.qsize()1q.get()'test'
Package: ioemu
ioemuThe ioemu-project provides an  emulator for input/output operations with simple electronic components like LEDs and push buttons.Installation and UpgradeUse pip for a simple installation. For an update useinstall --upgrade.Linux, MacOS:python3 -m pip install ioemuWindows:python -m pip install ioemuStarting the emulatorFirst start the emulator by enteringioemuon the commandline. A Gui will show up.It contains a slider for analog values between 0 and 99, threee LEDs and two push buttons from left to right.LEDsIf the emulator is running, you can interact with it from any python program running on the same machine. First import the classEmulatorfrom theioemupackage.fromioemuimportEmulatorNow create an instance of the emulator and switch some LEDs on. They can be controlled by setting theledsattribute.emu=Emulator()emu.leds=[True,False,True]ButtonsThe emulator has two buttons. Their current state (pressed or not pressed) can be read from the attributebuttons. It's a bool array corresponding to the state of being pressed.The following program lights up some LEDs depending on the button being pressed.emu=Emulator()whileTrue:ifemu.buttons[0]:emu.leds=[False,True,True]ifemu.buttons[1]:emu.leds=[True,True,False]ifnot(emu.buttons[0]oremu.buttons[1]):emu.leds=[False,False,False]Analog Value (0-99)Let's look into a program that allows you to control the LEDs with the slider at the left. The current sliders value can be read from theanalog_valueattribute of the Emulator. Its value ranges from 0 to 99.importtimeemu=Emulator()led_on=0whileTrue:if0<=emu.analog_value<25:emu.leds=[False,False,False]elif25<=emu.analog_value<50:emu.leds=[True,False,False]elif50<=emu.analog_value<75:emu.leds=[True,True,False]else:emu.leds=[True,True,True]DemoThere is a demo program that can be started withpython -m ioemu.demo. It will blink the LEDs and print the current button state as well as the analog value to console.You can find the source code indemo.py.BugsIf you find any bugs or have a feature request, feel free to file a ticket at the projectsbugtrackeron github.
Package: iofree
iofreeiofreeis an easy-to-use and powerful library to help you implement network protocols and binary parsers.Installationpip install iofreeAdvantagesUsing iofree, you can:define network protocols and file format in a clear and precise mannerparse both binary streams and filesDocumentationBasic Usage>>>fromiofreeimportschema>>>schema.uint8(1)b'\x01'>>>schema.uint32be(3)b'\x00\x00\x00\x03'>>>schema.uint32be.parse(b'\x00\x00\x00\x03')3Tutorial 1: a simple parser>>>classSimple(schema.BinarySchema):...a=schema.uint8...b=schema.uint32be# "be" for big-endian...>>>Simple(1,3).binaryb'\x01\x00\x00\x00\x03'>>>binary=_>>>Simple.parse(binary)<Simple(a=1,b=3)>Built-in units:commonly used number units:int8 uint8int16 int16be uint16 uint16beint24 int24be uint24 uint24beint32 int32be uint32 uint32beint64 int64be uint64 uint64befloat32 float32be float64 float64besimple units:BytesStringEndWithcomposite units:LengthPrefixedBytesLengthPrefixedStringLengthPrefixedObjectListLengthPrefixedObjectMustEqualSwitchSizedIntEnumConvertGroupAPI docsHere is a real life exampledefinitionof socks5 client request, you can see the following code snippet:classSocks5ClientRequest(schema.BinarySchema):ver=schema.MustEqual(schema.uint8,5)cmd=schema.SizedIntEnum(schema.uint8,Cmd)rsv=schema.MustEqual(schema.uint8,0)addr=AddrTutorial 2: define socks5 address formatIn[1]:importsocket...:fromiofreeimportschema...:...:...:classAddr(schema.BinarySchema):...:atyp:int=schema.uint8...:host:str=schema.Switch(...:"atyp",...:{...:1:schema.Convert(...:schema.Bytes(4),encode=socket.inet_aton,decode=socket.inet_ntoa...:...:),...:4:schema.Convert(...:schema.Bytes(16),...:encode=lambdax:socket.inet_pton(socket.AF_INET6,x),...:decode=lambdax:socket.inet_ntop(socket.AF_INET6,x),...:),...:3:schema.LengthPrefixedString(schema.uint8),...:},...:)...:port:int=schema.uint16be...:In[2]:addr=Addr(1,'172.16.1.20',80)In[3]:addrOut[3]:<Addr(atyp=1,host='172.16.1.20',port=80)>In[4]:addr.binaryOut[4]:b'\x01\xac\x10\x01\x14\x00P'In[5]:Addr.parse(addr.binary)Out[5]:<Addr(atyp=1,host='172.16.1.20',port=80)>A complete socks5 AddrdefinitionProjects using iofreeShadowproxysocks5 modelsandsocks5 protocolshadowsocks parsershadowsocks aead parsersimple http parserpython tls1.3TLS1.3 modelsandprotocolReferencesiofreeparser is inspired by projectohneio.
Package: iofstream
iofstreamVersion 0.1.0Input Output FileStreamUnder Experimentation, Not Fully Developed As Of 2022Developed by ST 2022Installationpip install iofstreamHow To Use -[Alpha Version]Using The File Functionsfromiofstreamimport<function_name>function_name('<file_name.txt>','<filetext>','<other_parameters>')# And ... Done!An Examplefromiofstreamimportwrite_filewrite_file('myfile.txt','mytextstring!')# And ... Done!The Logger -[ExtremeAlpha Version]fromiofstreamimportLog# Create Instance/Loglog=Log('<log_name>','<log_message>','<log_level>','<log_file>',True)# The Boolean Is Whether It Should Print The Log Message Onto The Screen Or Not# And ... Done!An ExamplefromiofstreamimportLog# Create Instance/Logservercrash=Log('VaultLog','Server Crashed!','CRITICAL','servercrashes.log',False)# There Is A 'default' Parameter For The Log File; It Will Create A Log File With The Current Date# And ... Done!Logger ClassfromiofstreamimportLoggerlogger=Logger('<logger_name>')logger.<level>('<message>','<filename>',True)# The Boolean Is Whether It Should Print The Log Message Onto The Screen Or Not# And ... Done!
Package: iogp
iogpPython common task, general purpose library (serialization, networking, etc.).
Note: this project used to be called iolib - it was renamed for PyPI.iogp.netprovides thedownload()functionautomatic caching of downloadssupports cookies, authentication, etc.can spoof user agents (or the entire GET request) - see theUSER_AGENTSdict innet/net.pyexamples:text = iogp.net.download('https://google.com')info = {}; iogp.net.download('https://1.1.1.1', info=info, cache=0)=>info['code'] == 200,info['headers']['Content-Type'], etc.iogp.dbprovides a persistence / caching / storage objectDataCachethat can store e.g. the results from a downloaded URLuseDataStoreto also get in-memory caching of valuesObjCache()wrapsDataCacheto generate the storage filename automaticallyusage:fromiogp.dbimportDataCachefn='objects.db'db=DataCache(fn)db['key1']={'some':['serializable','object',0]}db['some-other-key']=0db.close()db=DataCache(fn)print(db['key1'])print('key2'indb,'some-other-key'indb)iogp.winctypes wrapper over some Windows-specific functionsexample - iterating all windows and retrieving the window title for each one:importiogp.winaswindefcallback(hwnd,lparam):size=512buf=win.unicode_buffer(size)win.GetWindowText(hwnd,buf,size)print(f'[-] Handle:{hwnd}, title:{buf.value}')return1# 0 to stopwin.EnumWindows(win.WNDENUMPROC(callback),0)
Package: ioh
IOHexperimenterExperimenterforIterativeOptimizationHeuristics (IOHs), built in*C++.Documentation:https://iohprofiler.github.io/IOHexperimenter.Publication:https://arxiv.org/abs/1810.05281.Wiki page:https://iohprofiler.github.io.IOHexperimenterprovides:A framework to ease the benchmarking of any iterative optimization heuristic.Pseudo-Boolean Optimization (PBO)problem set (25 pseudo-Boolean problems).Integration of the well-knownBlack-black Optimization Benchmarking (BBOB)problem set (24 continuous problems).W-modelproblem sets constructed on OneMax and LeadingOnes.Integration of theTree Decomposition (TD) Mk Landscapesproblems.Submodular optimization problems, as seen in theGECCO '22 workshop.Flexible interface for adding new suites and problems.Advanced logging module that takes care of registering the data in a seamless manner.Data format is compatible withIOHanalyzer.Available Problem Suites:BBOB (Single Objective Noiseless) (COCO)SBOX-COST (COCO)StarDiscrepancyPBOSubmodular Graph ProblemsC++The complete API documentation, can be foundhere, as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in theexamplefolder of this repository.PythonThe pip-version of IOHexperimenters python interface is available viapip. A tutorial with python in the form of a jupyter notebook can be found in the example folder ofthis repository.
A Getting-Started guide and the full API documentation can be foundhere.ContactIf you have any questions, comments or suggestions, please don't hesitate contacting usIOHprofiler@liacs.leidenuniv.nl.Our teamJacob de Nobel,Leiden Institute of Advanced Computer Science,Furong Ye,Leiden Institute of Advanced Computer Science,Diederick Vermetten,Leiden Institute of Advanced Computer Science,Hao Wang,Leiden Institute of Advanced Computer Science,Carola Doerr,CNRS and Sorbonne University,Thomas BÃ¤ck,Leiden Institute of Advanced Computer Science,When using IOHprofiler and parts thereof, please kindly cite this work asJacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas BÃ¤ck,IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics, arXiv e-prints:2111.04077, 2021.@ARTICLE{IOHexperimenter,author={Jacob de Nobel andFurong Ye andDiederick Vermetten andHao Wang andCarola Doerr andThomas B{\"{a}}ck},title={{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},journal={arXiv e-prints:2111.04077},archivePrefix="arXiv",eprint={2111.04077},year=2021,month=Nov,keywords={Computer Science - Neural and Evolutionary Computing},url={https://arxiv.org/abs/2111.04077}}
Package: iohandler
### Summary ###The goal of this project is to provide a way through which python devs can  write IO tasksseamlessly without worrying much about python version compatibility issues'### Version ###1.0.1### How do I get set up? ###run pip install iohandler### How to run tests ###[Nose](https://nose.readthedocs.org/en/latest/) is already integrated with setup.py. To runtests, we can simply do:~~~$ python setup.py test~~~### Contribution guidelines ###* Writing testsTBA* Code reviewTBA* Other guidelinesTBA### Who do I talk to? ###* admin: mzukafull@gmail.com* Other :mzukafull@gmail.com
Package: io-helper
This is a Python library used in the hbpmip/python-mip Docker image in
order to ease developers job. It provides functions to read and write
data from/to the MIP.For more details, please have a look atpython-mip.How to update itUpdate the library code, update the version number in thesetup.cfgfile and optionally the.mdversion of the READMERun thebuild.shscript in order to generate the.rstversion
of the README and build the libraryCommit and push your changes and run thepublish.shscript in
order to publish the new release on PyPI
Package: iohub
iohubN-dimensional bioimaging produces data and metadata in various formats,
and iohub aims to become a unified Python interface to the most common formats
used at the Biohub and in the broader imaging community.Supported formatsReadOME-Zarr (OME-NGFF v0.4)Micro-Manager TIFF sequence, OME-TIFF (MMStack), and NDTiff datasetsCustom data formats generated by Biohub microscopesSupported: Falcon (PTI), Dorado (ClearControl), Dragonfly (OpenCell OME-TIFF), Mantis (NDTiff)WIP: DaXiWriteOME-ZarrMulti-page TIFF stacks organized in a directory hierarchy that mimics OME-NGFF (WIP)Quick startInstallationInstall a pre-release of iohub with pip:pipinstalliohubOr install the latest Git version:gitclonehttps://github.com/czbiohub-sf/iohub.git
pipinstall/path/to/iohubFor more details about installation, see therelated section in the contribution guide.Command-line interfaceTo check if iohub works for a dataset:iohubinfo/path/to/data/The CLI can show a summary of the dataset,
point to relevant Python calls,
and convert other data formats to the latest OME-Zarr.
See the full CLI help message by typingiohuboriohub [command] --helpin the terminal.Working with OME-ZarrLoad and modify anexample OME-Zarrdataset:importnumpyasnpfromiohubimportopen_ome_zarrwithopen_ome_zarr("20200812-CardiomyocyteDifferentiation14-Cycle1.zarr",mode="r",layout="auto",)asdataset:dataset.print_tree()# prints the hierarchy of the zarr storechannel_names=dataset.channel_namesprint(channel_names)img_array=dataset["B/03/0/0"]# lazy Zarr array for the raw image in the first positionraw_data=img_array.numpy()# loads a CZYX 4D array into RAMprint(raw_data.mean())# does some analysiswithopen_ome_zarr("max_intensity_projection.zarr",mode="w-",layout="hcs",channel_names=channel_names,)asdataset:new_fov=dataset.create_position("B","03","0")# creates fov with the same pathnew_fov["0"]=raw_data.max(axis=1).reshape((1,1,1,*raw_data.shape[2:]))# max projection along Z axis and prepend dims to 5Ddataset.print_tree()# checks that new data has been writtenFor more about API usage, refer to thedocumentationand theexample scripts.Reading Micro-Manager TIFF dataRead a directory containing a TIFF dataset:fromiohubimportread_micromanagerreader=read_micromanager("/path/to/data/")print(reader.shape)Why iohub?This project is inspired by the existing Python libraries for bioimaging data I/O,
includingome-zarr-py,tifffileandaicsimageio.
They support some of the most widely adopted and/or promising formats in microscopy,
such as OME-Zarr and OME-TIFF.iohub bridges the gaps among them with the following features:Efficient reading of data in various TIFF-based formats produced by the Micro-Manager/Pycro-Manager acquisition stack.Efficient and customizable conversion of data and metadata from TIFF to OME-Zarr.Pythonic and atomic access of OME-Zarr data with parallelized analysis in mind.OME-Zarr metadata is automatically constructed and updated for writing,
and verified against the specification when reading.Adherence to the latest OME-NGFF specification (v0.4) whenever possible.
Package: ioio
An IOIO python moduleThis is very very alpha.Basic Usage------import ioioi = ioio.open('/dev/ttyACM0')Module layout:------ioio.IOIO : main classContains a board, interface, and protocol (see below)ioio.boards : IOIO boardsContains information about what a given board supportsStores information about board stateioio.interfaces : IOIO communication interfacesDifferent ways to communicate with an IOIO boardEach must support:connect/disconnectread/writeioio.protocols : IOIO protocolsAbstraction to (hopefully) support multiple IOIO protcol versionsTODO------IOIO Functions- Digital I/O- Input- Change Notify : (test: digital_in.py)- Periodic Sampling : is this implemented in firmware?- Output (test: led.py)- Analog Input (test: analog_in.py)- !! how do I store number of analog pins? for report_analog_in_status- PWM Output (not working test: pwm.py) !! need to store state for this too- Incap/Pulse Input (test: pulse_in.py)- UART (test: uart.py)- SPI- TWI/I2C- ICSPNotes------Function uses: (all = config)- digital out : write- digital in : callback- analog in : callback- pwm output : write- incap/pulse input : callback- uart : write & callback- spi : ...- twi/i2c : ...- icsp : ...
Package: ioka
IOKA Asynchronous Python Client LibraryКлиент для платежного сервисаIOKA. Позволяет обращаться кAPI IOKAиз кода на Python.Установкаpip install iokaТребованияPython 3.7+ИспользованиеfromiokaimportIOKAioka_client=IOKA('IOKA_SECRET_KEY','IOKA_HOST')При создании клиента задаются параметры:Secret KeyиIOKA Host:SECRET_KEY: для аутентификации.IOKA_HOST: для выбора среды (тестовый Host & боевой Host).Обращение к API осуществляется через методы клиента.Регистрация платежа(описание)fromioka.schemasimportRegisterPaymentRequestdata={"amount":3000,"currency":398,"order_id":322,"client_id":1247,"tr_type":0,"email":"client.1247@gmail.com","phone":"+7**********","back_url":f"https://mywebsite.com/back/","callback_url":"https://mywebsite.com/callback/"}payment=RegisterPaymentRequest(**data)ioka_response=awaitioka_client.register_payment(payment)В случае успеха возвращает строку типаURL.TODO:ValidationsError responseAsync to syncSignature verification methodImplement rest-aiohttp in more smart wayUpdate README, add another methodsDocument methods
Package: ioka-python
ioka Python LibraryThe ioka Python library convenient access to the ioka API from applications written in the Python languageDocumentationSee thePython API docs.InstallationYou don't need this source code unless you want to modify the package. If you just want to use the package, just run:pipinstallioka-pythonUsageimportioka_pythonioka_python.api_key="Hello"# list ordersorders=ioka_python.Order().list()# print first order's IDprint(orders[0].id)# retrieve specific orderorder=ioka_python.Order().retrieve("ord_123")# print that order's amountprint(order.amount)
Package: ioknife
ioknifeknives for io.$ioknife-husage: ioknife [-h] [--logging {CRITICAL,FATAL,ERROR,WARN,WARNING,INFO,DEBUG,NOTSET}][--debug DEBUG]{rest,grepo,too} ...positional arguments:{rest,grepo,too}optional arguments:-h, --help            show this help message and exit--logging {CRITICAL,FATAL,ERROR,WARN,WARNING,INFO,DEBUG,NOTSET}--debug DEBUGsubcommandsseedocsChanges0.2.0ioknife grepocommand is added.ioknife too, reading commands setting from stdin. (and add --dump-context)0.1.0ioknife toocommand is added.0.0.0ioknife restcommand is added.
Package: ioko
IokoIoko is a python library to help you create learning system, for now ioko can be use for :Chat BotRecommender SystemInstallationpip3installiokoor contribute to this projectgitclonehttps://github.com/rizki4106/ioko.git&&cdiokopip3install-rrequirements.txtDocumentationFor more information please visit our wiki right herehttps://github.com/rizki4106/ioko/wiki
Package: iokobot
iokobotiokobot is a python library for help you to create a bot easly. We use machine learning algorithm to develop this botInstallationpip3installiokobotorgitclonehttps://github.com/rizki4106/iokobot.gitcdiokobot&&pip3install-rrequrements.txtHow to useThis bot need training data for learn what should answer returned. you can use your own training data but make sure your data saved as csv file and on csv file there are two columns, first columns is the questions and second column is the answer, look at example below.questionsanswerswhat is computer ?A computer is a machine that can be instructed to carry out sequences of arithmetic or logical operations automatically via computer programmingwhat is programming language ?programming language is a formal language comprising a set of instructions that produce various kinds of output. Programming languages are used in computer programming to implement algorithmsfromiokobotimportBotBodybot=BotBody()bot.fit("training.csv")pred=bot.predict("What is programming language ?")score=bot.score()print(pred)print(score)NoNameDescription1predictget the answer from the bot2scoresimilarity score between your question and training data. this score from range -1 and 1. -1 is perfect different and 1 is perfect samenoticethis bot will answer the questions based on similarity questions on training data, if you have more training data that would be better
Package: iol-api
iol-api libreria para consumir Invertir Online API en PythonQue es iol-apiiol-api es una libreria no oficial para consumir datos deInververtir Online APILa libreria esta diseñana para funcinar asincronicamente utilizando aiohttp.Como usarloEs necesiro contar con una cuenta en Invertir Online y tener activado el uso de la API.Luego, instalar iol-apipipinstalliol-apiEjemplo de como utilizar la libreriaimportasynciofromiol_apiimportIOLClientfromiol_api.constantsimportMercadoasyncdefmain():iol_client=IOLClient('usurio@email.com','contrasena')data=awaitiol_client.get_titulo('SUPV',Mercado.BCBA)print(data)asyncio.run(main())iol-api devulve un diccionario con objetos nativos de Python, transformado cualquier fecha en un objecto de clase datetimeDescargo de responsabilidad:iol-api es una libreria no oficial. De ninguna manera esta
respaldada o asociada a INVERTIR ONLINE  o cualquier organización asociada.
Asegúrese de leer y comprender los términos de servicio de la API subyacente.
antes de usar este paquete. Estos autores no aceptan responsabilidad por
daños que pudieran derivarse del uso de este paquete. Consulte el archivo de LICENCIA para
más detalles.History0.1.1 (2021-11-26)First release on PyPI.