Saravanan666/pypi-org huggingface dataset:
Package: onlinecheckwriter-quickpay
Onlinecheckwriter Quick Pay ApiStreamlined Payment API with Multi-Channel Support: Seamlessly Integrate Checks, eChecks, Virtual Cards, ACH/Direct Deposits, and Wire Transfers into Your ApplicationFull API documenationsourceto see how it works.Sample Codefrom onlinecheckwriter_quickpay.onlinecheckwriter import OnlineCheckWriter

# Initialize the OnlineCheckWriter instance with your API token and environment
ocw = OnlineCheckWriter()
ocw.set_token("YOUR_API_TOKEN")
ocw.set_environment("SANDBOX")  # or "LIVE" if needed

# Prepare the data for a payment (example data)
data = {
    "source": {"accountType": "bankaccount", "accountId": ""},
    "destination": {
        "name": "John Myres",
        "company": "Tyler Payment Technologist",
        "address1": "5007 richmond rd",
        "address2": "",
        "city": "Tyler",
        "state": "TX",
        "zip": "75701",
        "phone": "9032457713",
        "email": "support@onlinecheckwriter.com",
    },
    "payment_details": {
        "amount": 500,
        "memo": "for game",
        "note": "Note For Internal Purpose",
    },
}

# Test sending a check payment
result = ocw.send_check(data)

# Print the result
print(result)Available method
result = ocw.send_check(data)result = ocw.send_mailcheck(data)result = ocw.send_direct_deposit(data)result = ocw.send_virtual_card(data)result = ocw.send_wire(data)
Package: onlinecourses-ooo
onlinecourses-oooMy personal scraper forhttps://onlinecourses.oooFree software: MIT licenseDocumentation:https://onlinecourses-ooo.readthedocs.io.FeaturesFetch udemy courses fromhttps://onlinecourses.ooo(TODO) Filter interests, and date.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0b2 (2017-10-29)Fixed some errors when installing through pip.0.1.0b1 (2017-10-28)First release on PyPI.Fetch courses fromhttps://onlinecourses.ooo
Package: onlinehd
onlinehdAuthors: Alejandro Hernández Cano, Mohsen Imani.InstallationIn order to install the package, simply run the following:pip install onlinehdVisit the PyPIproject pagefor
more information about releases.DocumentationRead thedocumentationof this project.Quick startThe following code generates dummy data and trains a OnlnineHD classification
model with it.>>>importonlinehd>>>dim=10000>>>n_samples=1000>>>features=100>>>classes=5>>>x=torch.randn(n_samples,features)# dummy data>>>y=torch.randint(0,classes,[n_samples])# dummy data>>>model=onlinehd.OnlineHD(classes,features,dim=dim)>>>iftorch.cuda.is_available():...print('Training on GPU!')...model=model.to('cuda')...x=x.to('cuda')...y=y.to('cuda')...TrainingonGPU!>>>model.fit(x,y,epochs=10)>>>ypred=model(x)>>>ypred.size()torch.Size([1000])For more examples, see theexample.pyscript. Be aware that this script needspytorch,sklearnandnumpyto run.Citation RequestIf you use onlinehd code, please cite the following paper:Alejandro Hernández-Cano, Namiko Matsumoto, Eric Ping, Mohsen Imani
"OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using
Hyperdimensional System", IEEE/ACM Design Automation and Test in Europe
Conference (DATE), 2021.
Package: online-judge-verify-helper
online-judge-tools/verification-helperREADME 日本語バージョンWhat is this?This is a tool to easily automate the verify process of your code library for competitive programming.How to useSet up the repository for the libraryPlease read this:https://online-judge-tools.github.io/verification-helper/installer.htmlRunning the programInstallation$pip3installonline-judge-verify-helperPython 3.6 or above is required.Automating the verificationFirst, specify the problem URL to be used to verify the library in the file including.test.in its path (e.g. for C++, write#define PROBLEM "https://judge.yosupo.jp/problem/unionfind"in a file likeexample.test.cpp; seethe referencefor other languages). Then, run the following command to check if the verification can be performed.$oj-verifyrunCurrently, problems onLibrary CheckerandAizu Online Judgeare supported.
For the details, seethe reference.Autoexpansion of#includesTheincludestatements in your files in the form of#include "foo.hpp"can be expanded,
similar to the functionality provided bywebpackfor JavaScript. This is to solve the problems that most online judges do not support submitting multiple files.
The function can be used by running the following command:$oj-bundlemain.cppIf your competitive programming library resides outside the current directory, please specify the flag in the form of-I path/to/your/library. I recommend make shell aliases likealias oj-bundle='\oj-bundle -I path/to/your/library'.Include guardslike#pragma onceare partially supported. If you have files that will be included multiple times but you only want them to appear once in the generated code, add#pragma onceto the first line of the files.Generating DocumentationRun the following command to generate documentation in.verify-helper/markdown/. Example:https://online-judge-tools.github.io/verification-helper/$oj-verifydocsIf documentation generators likeDoxygenare found when generating documentation, they will be automatically used.
TeX expressions like$(N \sum_i A_i)$are also supported by theMathJaxlibrary.
For the details, seethe reference.TipsIf you cannot find problems to verify your library, you can refer to other users' libraries. You can find all users ofonline-judge-verify-helperathttps://github.com/search?q=online-judge-verify-helper+path%3A.github.If you cannot find problems to verify your library anywhere, we suggest that you add a problem toLibrary Checker. You can useHello Worldas a dummy problem to run your own stress tests.You do not need to display the MIT License if you callonline-judge-verify-helperfrom GitHub Actions (Details, in Japanese).This is tool to efficiently verify your library, not to check or prettify your code. If you need such functions, you can try formatters likeclang-formator linters likecppcheck.Authorscommitter:@kmyk(AtCoder:kimiyuki): distribution onpipand miscellaneous tasks ononline-judge-toolscommitter:@beet-aizu(AtCoder:beet): verify functioncommitter:@tsutaj(AtCoder:tsutaj): documents generation
Package: onlinelinguisticdatabase
A program for building web services that facilitate collaborative storing,
searching, processing and analyzing of linguistic fieldwork data.Installation and SetupInstall onlinelinguisticdatabase usingeasy_install:easy_install onlinelinguisticdatabaseMake a config file:paster make-config onlinelinguisticdatabase production.iniTweak the config file as appropriate and then set up the application:paster setup-app production.iniServe it:paster serve production.iniOpen a new terminal window and run the Requests-based test script to ensure that
the OLD application is being served and is operating correctly:python _requests_tests.pyYou should seeAll requests tests passed.as output.Files
Package: online-node2vec
Online Node2VecThis repository contains the code related to the research ofFerenc Béres,Róbert Pálovics,Domokos Miklós KelenandAndrás A. Benczúr.IntroductionWe propose two online node embedding models (StreamWalk and online second order similarity) for temporally evolving networks. Two nodes are required to be mapped close in the vector space whenever they lie on short paths formed by recent edges in the first model, and whenever the set of their recent neighbors is similar in the second model.Please cite ourpaperif you use our work:@Article{Béres2019,
author="B{\'e}res, Ferenc
and Kelen, Domokos M.
and P{\'a}lovics, R{\'o}bert
and Bencz{\'u}r, Andr{\'a}s A.",
title="Node embeddings in dynamic graphs",
journal="Applied Network Science",
year="2019",
volume="4",
number="64",
pages="25",
}I presented a former version of our work at the 7th International Conference on Complex Networks and Their Applications that is availabe on thisbranch.DataUS Open 2017 (UO17)andRoland-Garros 2017 (RG17)Twitter datasets were published in ourprevious workfor the first time. Please cite this article if you use our data sets in your research:@Article{Béres2018,
author="B{\'e}res, Ferenc
and P{\'a}lovics, R{\'o}bert
and Ol{\'a}h, Anna
and Bencz{\'u}r, Andr{\'a}s A.",
title="Temporal walk based centrality metric for graph streams",
journal="Applied Network Science",
year="2018",
volume="3",
number="32",
pages="26",
}These Twitter datasets are available on thewebsiteof our research group. In order to process the data you need to install thetwittertennisPython package. It will automaticallydownload and preparethe datasets for you.Installpythonsetup.pyinstallUsageAfter installing every requirement execute the following script to run both node representation learning and evaluation for the similarity search task.cdscripts
bashrun.shThe major steps in our pipeline are:Download and preprocessdataLearningStreamWalkrepresentationsLearningSecond order similarityrepresentationsEvaluatenode embeddings for the similarity search supervised experiment
Package: onlinepayments-sdk-python2
IntroductionThe Python SDK helps you to communicate with the payment platform server
API. Its primary features are:convenient Python library for the API calls and responsesmarshalls Python request objects to HTTP requestsunmarshalls HTTP responses to Python response objects or Python
exceptionshandling of all the details concerning authenticationhandling of required meta dataIts use is demonstrated by an example for each possible call. The
examples execute a call using the provided API key.Structure of this repositoryThis repository consists out of three main components:The source code of the SDK itself:/onlinepayments/sdk/The source code of the SDK unit tests:/tests/unit/The source code of the example integration tests:/tests/integration/Note that the source code of the unit tests and integration tests can
only be found on GitHub.RequirementsPython 2.7 is required. In addition, the following package is required:requests2.20.0 or higherThis package will be installed automatically if the SDK is installed
manually or using pip following the below instructions.InstallationTo install the SDK using pip, execute the following command:pip install onlinepayments-sdk-python2Alternatively, you can install the SDK from a source distribution file:Download the latest version of the Python SDK from GitHub. Choose theonlinepayments-sdk-python2-x.y.z.zipfile from thereleasespage, wherex.y.zis the version number.Execute the following command in the folder where the SDK was
downloaded to:pip install onlinepayments-sdk-python2-x.y.z.zipUninstallingAfter the Python SDK has been installed, it can be uninstalled using the
following command:pip uninstall onlinepayments-sdk-python2The required package can be uninstalled in the same way.Running testsThere are two types of tests: unit tests and integration tests. The
unit tests will work out-of-the-box; for the integration tests some
configuration is required.First, some environment variables need to be set:onlinePayments.api.apiKeyIdfor the API key id to use.onlinePayments.api.secretApiKeyfor the secret API key to use.onlinePayments.api.merchantIdfor your merchant ID.In order to run the unit and integration tests, themockbackport andmockitopackages are
required. These can be installed using the following command:pip install mock mockitoThe following commands can then be executed from thetestsdirectory
to execute the tests:Unit tests:python run_unit_tests.pyIntegration tests:python run_integration_tests.pyBoth unit and integration tests:python run_all_tests.pyNote: in the current version of the unit tests, two errors will pop up
([Errno 10053] for Windows and [Errno 32] for Linux), indicating that
there was a client disconnect. These errors occur during cleanup of the
tests and do not hinder the tests in any way, and should therefore be
ignored.
Package: onlinepayments-sdk-python3
IntroductionThe Python SDK helps you to communicate with the payment platform server
API. Its primary features are:convenient Python library for the API calls and responsesmarshalls Python request objects to HTTP requestsunmarshalls HTTP responses to Python response objects or Python
exceptionshandling of all the details concerning authenticationhandling of required meta dataIts use is demonstrated by an example for each possible call. The
examples execute a call using the provided API key.Structure of this repositoryThis repository consists out of three main components:The source code of the SDK itself:/onlinepayments/sdk/The source code of the SDK unit tests:/tests/unit/The source code of the example integration tests:/tests/integration/Note that the source code of the unit tests and integration tests can
only be found on GitHub.RequirementsPython 3.5 or higher is required. In addition, the following package is
required:requests2.20.0 or higherThis package will be installed automatically if the SDK is installed
manually or using pip following the below instructions.InstallationTo install the SDK using pip, execute the following command:pip install onlinepayments-sdk-python3Alternatively, you can install the SDK from a source distribution file:Download the latest version of the Python SDK from GitHub. Choose theonlinepayments-sdk-python3-x.y.z.zipfile from thereleasespage, wherex.y.zis the version number.Execute the following command in the folder where the SDK was
downloaded to:pip install onlinepayments-sdk-python3-x.y.z.zipUninstallingAfter the Python SDK has been installed, it can be uninstalled using the
following command:pip uninstall onlinepayments-sdk-python3The required package can be uninstalled in the same way.Running testsThere are two types of tests: unit tests and integration tests. The
unit tests will work out-of-the-box; for the integration tests some
configuration is required.First, some environment variables need to be set:onlinePayments.api.apiKeyIdfor the API key id to use.onlinePayments.api.secretApiKeyfor the secret API key to use.onlinePayments.api.merchantIdfor your merchant ID.In order to run the unit and integration tests, themockbackport andmockitopackages are
required. These can be installed using the following command:pip install mock mockitoThe following commands can then be executed from thetestsdirectory
to execute the tests:Unit tests:python run_unit_tests.pyIntegration tests:python run_integration_tests.pyBoth unit and integration tests:python run_all_tests.py
Package: onlineschemachange
OnlineSchemaChange is a tool for making schema changes for MySQL tables
in a non-blocking wayExamplesOSCmust be run on the same host as MySQL server.copymodeSay we have an existing table namedmy_tableunder databasetest:CREATETABLE`my_table`(`id`int(11)NOTNULL,PRIMARYKEY(`id`))ENGINE=InnoDBDEFAULTCHARSET=latin1Now if we want to runALTER TABLE ``my_tableadd columndatavarchar(10);`` against
it. Instead of feed theALTER TABLEstatement to OSC, we just need
to put aCREATE TABLEstatement representing the desired schema into
a file/tmp/foo.sqllike below:CREATETABLE`my_table`(`id`int(11)NOTNULL,`data`varchar(10)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=InnoDBDEFAULTCHARSET=latin1Then run the following command:osc_clicopy--ddl-file-list=foo.sql--socket=/tmp/mysql.socket--database=testcleanupmodeTo cleanup the table left behind by last run of OSCosc_clicleanup--socket=/tmp/mysql.socket--database=testTo terminate a currently runningOSCprocess on certain MySQL
Instance:osc_clicleanupdirectmodeThis mode is reserved for utilizing MySQL’s native online ddl for schema
change, and help DBA manage all the schema related operation into this
one tool. For now, if you plan to useOSCfor all your schema
management, this mode is here for you to create a empty new table.
Following command will create an empty table into databasetestosc_clidirect--ddl-file-list=foo.sql--socket=/tmp/mysql.socket--database=testRequirementsOnlineSchemaChange requiresSystem packagesFor Python2sudoapt-getinstallpython-devlibmysqlclient-dev# Debian / Ubuntusudoyuminstallpython-develmysql-devel# Red Hat / CentOSFor Python3sudoapt-getinstallpython3-dev# debian / Ubuntusudoyuminstallpython3-devel# Red Hat / CentOSPython requirements* python >= 2.7 * python module: six,pyparsing,MySQLdbInstalling OnlineSchemaChangeRun following command to install dependencypythonsetup.pyinstall--install-scripts=/usr/local/binIf you have multiple python version available in your environment, or
you don’t want mess up with system’s default python, you can usepyenvandvirtualenvHow OnlineSchemaChange worksCheck wiki page for more detail, and some advanced usage.How to contributeCheck thiswiki
pageif you want to contribute to this project.LicenseOnlineSchemaChange is BSD-licensed. We also provide an additional patent
grant.
Package: online-schema-change
OnlineSchemaChange is a tool for making schema changes for MySQL tables
in a non-blocking wayExamplesOSCmust be run on the same host as MySQL server.copymodeSay we have an existing table namedmy_tableunder databasetest:CREATETABLE`my_table`(`id`int(11)NOTNULL,PRIMARYKEY(`id`))ENGINE=InnoDBDEFAULTCHARSET=latin1Now if we want to runALTER TABLE ``my_tableadd columndatavarchar(10);`` against
it. Instead of feed theALTER TABLEstatement to OSC, we just need
to put aCREATE TABLEstatement representing the desired schema into
a file/tmp/foo.sqllike below:CREATETABLE`my_table`(`id`int(11)NOTNULL,`data`varchar(10)DEFAULTNULL,PRIMARYKEY(`id`))ENGINE=InnoDBDEFAULTCHARSET=latin1Then run the following command:osc_clicopy--ddl-file-list=foo.sql--socket=/tmp/mysql.socket--database=testcleanupmodeTo cleanup the table left behind by last run of OSCosc_clicleanup--socket=/tmp/mysql.socket--database=testTo terminate a currently runningOSCprocess on certain MySQL
Instance:osc_clicleanupdirectmodeThis mode is reserved for utilizing MySQL’s native online ddl for schema
change, and help DBA manage all the schema related operation into this
one tool. For now, if you plan to useOSCfor all your schema
management, this mode is here for you to create a empty new table.
Following command will create an empty table into databasetestosc_clidirect--ddl-file-list=foo.sql--socket=/tmp/mysql.socket--database=testRequirementsOnlineSchemaChange requiresSystem packagesFor Python2sudoapt-getinstallpython-devlibmysqlclient-dev# Debian / Ubuntusudoyuminstallpython-develmysql-devel# Red Hat / CentOSFor Python3sudoapt-getinstallpython3-dev# debian / Ubuntusudoyuminstallpython3-devel# Red Hat / CentOSPython requirements* python >= 2.7 * python module: six,pyparsing,MySQLdbInstalling OnlineSchemaChangeRun following command to install dependencypythonsetup.pyinstall--install-scripts=/usr/local/binIf you have multiple python version available in your environment, or
you don’t want mess up with system’s default python, you can usepyenvandvirtualenvHow OnlineSchemaChange worksCheck wiki page for more detail, and some advanced usage.How to contributeCheck thiswiki
pageif you want to contribute to this project.LicenseOnlineSchemaChange is BSD-licensed. We also provide an additional patent
grant.
Package: online-shop
DeploymentAdd additional notes about how to deploy this on a live system.Built WithDjangoDjango Rest FrameworkDjango ChannelsDockerPreparationFollow these steps to set up the project:Create a virtual environment:python-mvenvvenvActivate the virtual environment:.\venv\Scripts\activate.batRun dockerdocker-composeup-dInstall online shop:py-mbuildInstall online shop:python-monline_shop.managerunserverTestscdonline_shoppipinstall-rrequirements/requirements.txtpythonmanage.pytestAuthorsPaweł Kwieciński
Package: onlinesimru
Onlinesim Python APIWrapper for automatic reception of SMS-messages by onlinesim.ruInstallationYou can install or upgrade package with:$ pip install onlinesimru --upgradeOr you can install from source with:$ git clone https://github.com/s00d/onlinesim-python-api
$ cd onlinesim-python-api
$ python setup.py install...or install from source buth with pip$ pip install git+https://github.com/s00d/onlinesim-python-apiExamplefromonlinesimruimportFreeNumbersService,RentNumbersService,ProxyService,UserService,NumbersServicedefmain():client=UserService('YOUR_TOKEN')balance=client.balance()print(balance)main()Example2fromonlinesimruimportFreeNumbersService,RentNumbersService,ProxyService,UserService,NumbersServicedefmain():numbers=NumbersService('YOUR_TOKEN')input('Press enter if you sms was sent')tzid=numbers.get('service')print(tzid)code=numbers.wait_code(tzid)print(code)main()Example3# multiple driver usingfromonlinesimruimportDriverdefmain():driver=Driver('YOUR_TOKEN')tzid=driver.numbers().get('service')print(tzid)code=driver.numbers().wait_code(tzid)print(code)main()DocumentationAll documentation is in the wiki of this project -DocumentationBugsIf you have any problems, please create Issueshere
Package: online-stats
online-stats— Online algorithm for mean, variance, and covarianceTheonline-statsPython package contains a single functiononline_stats.add_sample()which updates a sample mean given a new sample, as
well as optionally the sample variance and the sample covariance matrix.The package has no dependencies, as theonline_stats.add_sample()function
works with any input data type that supports in-place addition and fancy
slicing.Usage>>>importnumpyasnp>>>>>># the package>>>importonline_stats>>>>>># online algorithm for the mean>>># start from zero>>>mu=np.zeros(4)>>>>>># generate samples and compute their mean>>>foriinrange(1000):...x=np.random.normal([0.1,0.3,0.5,0.7])...online_stats.add_sample(i,x,mu)...>>># the mean is computed in place>>>print(mu)[0.088044020.258969290.448912640.73418769]>>>>>># compute the variance>>>mu=np.zeros(4)>>>var=np.zeros(4)>>>foriinrange(1000):...x=np.random.normal([0.1,0.3,0.5,0.7],[0.2,0.4,0.6,0.8])...online_stats.add_sample(i,x,mu,var=var)...>>>print(mu)[0.098543010.295093050.47776730.70008311]>>>print(var**0.5)[0.199005180.40128570.592671290.81856542]>>>>>># compute the covariance matrix>>>mu=np.zeros(4)>>>cov=np.zeros((4,4))>>>foriinrange(100_000):...x=np.random.multivariate_normal([0.1,0.3,0.5,0.7],...[[0.2,0.02,0.04,0.06],...[0.02,0.4,0.06,0.08],...[0.04,0.06,0.6,0.10],...[0.06,0.08,0.10,0.8]])...online_stats.add_sample(i,x,mu,cov=cov)...>>>print(mu)[0.100956070.304861080.501131410.69912377]>>>print(cov)[[0.201014060.021055030.03821980.06220174][0.021055030.399095450.061926780.0791239][0.03821980.061926780.599605370.1082596][0.062201740.07912390.10825960.80071002]]