Saravanan666/pypi-org huggingface dataset:
Package: otlet
Zero-dependency, pure-python wrapper for the PyPI JSON Web API.InstallingOtlet supports Python 3.6 and above, but at least Python 3.8 is recommended.The simplest method is installing otlet from PyPI using pip:pip install -U otletExamplesPrint a list of available versions for a package:from otlet.api import PackageObject

pkg = PackageObject("pygame")
print("All available versions for pygame:")
for ver in pkg.releases:
    print(ver)Print a list of a dependency's dependencies:from otlet.api import PackageObject

pkg = PackageObject("Sphinx")
requests = pkg.dependencies[13]
requests.populate()
print("All dependencies of the 'Sphinx' dependency, 'requests':")
for dep in requests.dependencies:
    print(dep.name)DevelopmentIf you plan to contribute to otlet and clone the repository, make sure you have installed thePoetry dependency management system, then run the following commands to set up your environment:poetry install # to set up virtualenv, and install all dev dependencies
git config --local core.hooksPath .githooks/ # add otlet's hooks to your local repo config
Package: otlet-cli
CLI tool for querying the Python Packaging Index usingOtlet.InstallingOtlet-cli can be installed from pip using the following command:pip install -U otlet-cliTo install from source, please see theINSTALLINGfile.UsageGet info about a particular package:otlet sampleprojectOr a specific version:otlet django 4.0.6Check out all available releases for a package:otlet releases tensorflowList all available wheels:otlet download torch -lThen download a wheel for Python 3.9 on x86_64 macOS:otlet download torch -w "python_tag:3.9,platform_tag:macosx*x86_64"And more... just run:otlet --helpContributingIf you notice any issues, or think a new feature would be nice, feel free to open anissue.
Package: otlmow-converter
OTLMOW-ConverterOTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converter(you are currently looking at this package)otlmow_templateotlmow_postenmappingotlmow_davieotlmow_visualsotlmow_guiInstallation and requirementsOTLMOW-Converter has a couple of dependencies besides the standard Python libraries. It depends on another OTLMOW package: otlmow-model. These libraries will be automatically installed when installing this library. Currently, you need at least Python version 3.7 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_converterTo upgrade an existing installation use:pip install otlmow_converter --upgradeCode examples and usageSee theReadme notebookSupported formatsThe following file formats are supported in OtlmowConverterFile formatReadWriteDAVIE compliantCSVYesYesYesExcelYesYesYesJSONYesYesYesGEOJSONYesYesYesJSON-LDYesYesNoTTLNoYesNo
Package: otlmow-davie
OTLMOW-DAVIESummaryThe main use case of otlmow-davie is to integrate with DAVIE, the portal for data exchangeOTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converterotlmow_templateotlmow_postenmappingotlmow_davie(you are currently looking at this package)Installation and requirementsCurrently, you need at least Python version 3.7 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_davieTo upgrade an existing installation use:pip install otlmow_davie --upgradeUsageTODO
Package: otlmow-gui
OTLMOW-GUISummaryThe main use case of the otlmow-gui is to provide a graphical user interface for the OTLMOW project. It is built using thePyQt6 frameworkand is compatible with Python 3.7 and higher. This will eventually replace the OTL wizard.OTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converterotlmow_templateotlmow_postenmappingotlmow_davieotlmow_visualsotlmow_gui(you are currently looking at this package)Installation guideCurrently, you need at least Python version 3.8 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_guiTo upgrade an existing installation use:pip install otlmow_gui --upgradeThen you can run the main.py to see the GUI in action.We are working on a way to deploy this to the different operating systems. This is expected near the end of 2023.
Package: otlmow-model
OTLMOW-ModelSummaryThe main use case of otlmow-model is to provide a class model, allowing instances of OTL compliant classes. The classes have data validation and automatic conversion for attributes and relations between objects.OTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_model(you are currently looking at this package)otlmow_modelbuilderotlmow_converterotlmow_templateotlmow_postenmappingotlmow_davieotlmow_visualsotlmow_guiCode examples and usageSee theReadme notebook
Package: otlmow-modelbuilder
OTLMOW-ModelBuilderSummaryThe main use case of otlmow-modelbuilder is to provide create the class model of otlmow_model, by reading in a OTL SQLite or subset.OTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilder(you are currently looking at this package)otlmow_converterotlmow_templateotlmow_postenmappingotlmow_davieotlmow_visualsotlmow_guiInstallation and requirementsOTLMOW-ModelBuilder has one dependency besides the standard Python libraries: rdflib. It will be automatically installed when installing this library.
Currently, you need at least Python version 3.6 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_modelbuilderTo upgrade an existing installation use:pip install otlmow_modelbuilder --upgradeUsageIn order to create a model, the ModelBuilder requires two Path parameters:otl_subset_location: the location of OTL SQLite file that is used to build the model with (this can be a subset)directory: the location where the model will be createdNote that the given directory will be emptied if needed.Additionally, it is possible to also add the location of the Geometry Artefact. If used, the classes will inherit from the various geometry type classes to add validation to the property 'geometry'.logging.basicConfig(level=logging.INFO, format='%(message)s')

current_dir = Path(__file__).parent
otl_subset_path = Path(current_dir / 'InputFiles' / 'OTL 2.6.db')
GA_file_path = Path(current_dir / 'InputFiles' / 'Geometrie_Artefact_2.6.db')
model_directory = Path(current_dir.parent.parent / 'OTLMOW-Model/otlmow_model')

ModelBuilder.build_otl_datamodel(otl_subset_location=otl_subset_path,
                                 geometry_artefact_location=GA_file_path,
                                 directory=model_directory)
Package: otlmow-postenmapping
OTLMOW-PostenMappingSummaryThe main use case of otlmow-postenmapping is to translate the postenmapping artefact into Python dictionary for easy access and then using the dictionary to resolve a specific mapping into the corresponding assetsOTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converterotlmow_templateotlmow_postenmapping(you are currently looking at this package)Installation and requirementsCurrently, you need at least Python version 3.8 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_postenmappingTo upgrade an existing installation use:pip install otlmow_postenmapping --upgradeUsageTo create the Python dictionary holding all the mappings, initialize a PostAssetFactory, using the file path of the postenmapping and the directory where the dictionary needs to go.from pathlib import Path
from otlmow_postenmapping.PostAssetFactory import PostAssetFactory

if __name__ == '__main__':
    this_file = Path(__file__)
    f = PostAssetFactory(this_file.parent / 'Postenmapping beschermbuis.db', directory=this_file.parent)
Package: otlmow-template
OTLMOW-TemplateSummaryThe main use case of otlmow-template is to provide templates for the users, depending on a given subset.OTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converterotlmow_template(you are currently looking at this package)otlmow_postenmappingotlmow_davieotlmow_visualsotlmow_guiInstallation and requirementsCurrently, you need at least Python version 3.8 to use this library.To install the OTL MOW project into your Python project, use pip to install it:pip install otlmow_templateTo upgrade an existing installation use:pip install otlmow_template --upgradeUsage#TODO
Package: otlmow-visuals
OTLMOW-VisualsSummaryThe main use case of otlmow-visuals is to visualize objects created with otlmow-model.OTLMOW ProjectThis project aims to implement the Flemish data standard OTL (https://wegenenverkeer.data.vlaanderen.be/) in Python.
It is split into different packages to reduce compatibility issuesotlmow_modelotlmow_modelbuilderotlmow_converterotlmow_templateotlmow_postenmappingotlmow_davieotlmow_visuals(you are currently looking at this package)otlmow_guiCode examples and usageSee theReadme notebook
Package: ot-my-libs
oiyshTerminal (otpips) -  ot_my_libsSet of function to speed up things like:ArgsParse - to parse argument pass to app returns jsonMyCalculate - trigonometry and other mathsdb_helper - sqlite3 helpermyFastPlot - fast plot data with kivyTimeHelper - to do operation on timemyLoger - logging unifideXMLHelperFileActions - file/dirs/path operations helpermyMqttClientmysql_helper - mysql helperPlugsHelper - to help with plugins loading and explorationexample - use case of:benchmarking - from TimeHelpersqlite3 - from db_helperimportant- some of subs will want more dependencies then default so look for logs if there is any pip missing ( myFastPlot )check exampleIn directory of library in my case is/usr/lib/python3.8/site-packagespython3ot_my_libs/example.pythis will run example use of bencharking uningot_my_libs.TimeHelperandsqlite3usingot_my_libs.db_helperfrom the example to get you going :)orxdocs - more in depthexampleTimeHelperuse case as benchmarking toolfromot_my_libs.TimeHelperimportTimeHelperasthdimporttimedefbenchmarkTimer():th=thd()bKey=th.benStart()print("making test run ...")time.sleep(1)th.benDone(bKey,f"Result of benStart / benDone [run at:{th.getNiceShortDate()}]",printIt=True)db_helperuse case as fast sqlite3 init_table and CRUDishfromot_my_libs.db_helperimportdb_helperasdbhclassmdb(dbh):## set your structure of db / tabledefset_struct(self):self.struct={'tableA':{# your table name'lat':"float",# field 1 - name: lat type: float'lon':"float",# field 2 - name: lat type: float}}db=mdb('/tmp/mdbTest1.db')# yes no initing strate to insert or ...print("inserting ....")insertRecordId=db.insert('tableA',{"lat":1.1,"lon":1.11})print("select tableA ...")resA=db.select('tableA')print(resA)db.insert('tableA',{"lat":2.1,"lon":1.1})print("select id,lat,lon from tableA where id=2 .....")# yes `id` column autoincremental is added automaticlyresB=db.select('tableA','id,lat,lon','id=2')print(resB)print("delete all ...")db.query('delete from tableA where 1')print("after delete ... select tableA")resC=db.select('tableA')print(resC)development of package - base lineIn directory of project to deploytree ot_my_libsot_my_libs
├──__init__.py
├──ArgsParse.py
├──example.py
├──db_helper.py
├──FileActions.py
├──MyCalculate.py
├──myFastPlot.py
├──myLoger.py
├──myMqttClient.py
├──mysql_helper.py
├──TimeHelper.py
├──PlugsHelper.py
├──PlugsHelperTest_plugXXX_a.py
└──XMLHelper.pyuninstalling itpip3uninstallot_my_libsTODOmore examplesmore def xdoc descriptionschange log0.0.14PlugsHelper in examplesRefine PlugsHelper can do custom filter and return preinit object if set so0.0.12PlugsHelper0.0.11fix some README errors parsing and ...0.0.10ArgsParse to parse argument comming at start of appmyLoger have more colors to select and newdefColorargumentaddchange login README :)If you see that this makes sensesend me a ☕|Master repository|About SvOiysh
Package: otomap
otomap provides a one-to-one mapping abstraction, presented with a
MutableSet interface of (left, right) entries.  An OTOMap instance also
has left and right facet attributes which both provide MutableMapping
interfaces with complementary directionality.Examples>>> from otomap import OTOMap
>>> oto = OTOMap()
>>> oto.add(('foo', 'bar'))
>>> ('foo', 'bar') in oto
True
>>> list(oto)
[('foo', 'bar')]
>>> oto.left['foo']
'bar'
>>> oto.right['bar']
'foo'
>>> oto.left['X'] = 'bar'
>>> list(oto)
[('X', 'bar')]
>>> del oto.right['bar']
>>> oto.left.items()
[]
Package: otomkdir
otomkdirotomkdir is a Python library to automate creation of folders and subfolders.InstallationUse the package manager "pip install" to install otomkdir.pipinstallotomkdirContributingPull 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.Contributor/smose_tucker_0159 --mose.tucker.0159@gmail.comLicenseMIT
Package: otoole
DescriptionOSeMOSYS tools for energy work, or otoole, is a Python package
to support the users of OSeMOSYS. The aim of the package is to provide commonly
used pre- and post-processing steps for OSeMOSYS.otooleaims to support different ways of storing input data and results,
including csv files and Excel workbooks, as well as different implementations
of the OSeMOSYS model. This improves interoperability of analyses and
generally makes life a little bit easier.Installationotoolecan be installed throughpip:pip install otooleFor instructions of the use of the tool, run the command line help function:otoole --helpDocumentationDetailed documentation of otoole, including examples, can be found here:https://otoole.readthedocs.io/en/latest/ContributingNew ideas and bugsshould be submittedto the repository issue tracker. Please do contribute by discussing and developing these
ideas further.To contribute directly to the code and documentation development, please see
thecontribution guidelines.
Package: otools
OToolsOTools stands for Online Tools, which is a Python/Cython framework for developing multithread online systems in a simple way.This framework is the evolution ofAkuanduba, a very similar framework I've developed.
Although Akuanduba seemed OK to me, I realized it wasn't really user-friendly. OTools was developed to get as simple as possible
and yet powerful.InstallationJust install it by using pip!pip3 install otoolsGetting startedI wouldn't recommend going straight to theexamplesor trying to write code of your own,
but it's up to you!My recommendation is:Read theOTools 101at the docs (or just read thefull documentation)Start by running thesimplest example(Optional) Check out fewother examplesWrite code of your ownSubmit issueshere.Future releasesImplement CLI (?)
Package: otools-rpc
otools-rpcotools-rpc is a Python package for interacting with the Odoo ERP system through XML-RPC requests. It provides a convenient way to communicate with Odoo and perform various operations. Please note that the package is currently in the testing/alpha phase, and further improvements and updates are expected.FeaturesTheEnvironmentclass represents the environment for interacting with the Odoo ERP system. It provides the following features:Authentication: Authenticate with the Odoo system using username and password.Access Models: Access different models (tables) in the Odoo system.Caching: Caching mechanism to improve performance.Logging: Logging capabilities with customizable log levels.InstallationYou can install otools-rpc using pip:$pipinstallotools-rpcSee on pypi:https://pypi.org/project/otools-rpc/UsageEnvironmentHere are some examples of how to use otools-rpc to interact with the Odoo ERP system via the external API:fromotools_rpc.external_apiimportEnvironmenturl="http://localhost:8069/"username="admin"password="admin"db="my_odoo"# Create an instance of the environmentenv=Environment(url,username,password,db=db)env=env.with_context(lang='en_US')print(env)# Example: Create an invoice for a specific partnerpartner_id=env['res.partner'].search([('name','=','Mitchell Admin')],limit=1)invoice_vals={'partner_id':partner_id.id,'date_invoice':'2023-05-12','type':'out_invoice','invoice_line_ids':[(0,0,{'product_id':env['product.product'].search([('name','=','Product A')],limit=1).id,'quantity':5,'price_unit':10.0,}),(0,0,{'product_id':env['product.product'].search([('name','=','Product B')],limit=1).id,'quantity':3,'price_unit':15.0,}),],}invoice_id=env['account.move'].create(invoice_vals)print("Created invoice:",invoice_id)# Posting the invoiceinvoice_id.action_post()DBManagerfromotools_rpc.db_managerimportDBManagerurl="http://localhost:8069/"master_password="adminadmin"dbmanager=DBManager(url,master_password)#Return list of all the available DB in your Odoo ENVdbmanager.dbobject.list()#Duplicating my_odoo to my_new_odoodbmanager.duplicate(db='my_odoo',new_name="my_new_odoo")#Deleting my_new_odoodbmanager.drop(db='my_new_odoo')More details are coming soon...
Package: otoware
otowareotoware 手伝いinstallFirst, install portaudioarch linuxsudo pacman -S portaudio tkubuntu or deviansudo apt-get install portaudioNext, install with pippip install -e .compilepython setup.py sdistrunotowaridata/origin.wav がdist_origin.wav になりますTODOファイル名と音割れの度合いの変数を外部から与えられるようにする
Package: otpauth
One time password implementations in Python. HOTP and TOTP.Documentation:https://otp.authlib.org/GitHub:https://github.com/authlib/otpauthUsageMost of the time, you would use a time based one time password. You can generate and
verify the token withHOTP:import otpauth

totp = otpauth.HOTP(b"user-secret")

# generate a code for now
code: int = totp.generate()

# you may want to convert it to string
str_code: str = totp.string_code(code)

# verify the code
totp.verify(code)  # => True
totp.verify(str_code)  # => TrueLicenseLicensed under BSD. Please see LICENSE for licensing details.
Package: otpbomber
Installation :pip install otpbomber && otpbomberFeatures :otpbomber, ** 25+ Working API updated  **How to install :$ pkg install python -y
$ pip install otpbomber
$ otpbomberRun :$ otpbomberChangelog[✓] Removed Victim Information
[✓] Removed Call APIs
[✓] Updated 25+ APIs
[+] Wait for Next Update ;)Disclaimer :We are not responsible for your loss by this tool.
this tool is made for Education/Learning Purpose.
Dont harm anyone using this tool.About Us :Created by Parixit Sutariya
Github : github.com/Bhai4You
Blogspot : https://bhai4you.blogspot.com
Package: otp-cli
OTP_A command line based one-time password manager that allows you to easily retreive and store one-time passwords. Secrets are stored using the operating system's keyring, so sensitive information is encrypted.CommandsShowThe show command shows a stored one-time password:Names are case-insensitive to help prevent typos involving case. If you want to quickly get a one-time password for a secret, for testing or development purposes, just runotp show --secret [SECRET]to see its corresponding TOTP code.Codes are updated in real-time, and they are hidden upon exit (CTRL-Corq).WriteThe write command allows you to store new one-time passwords:Most of the features here roughly follow the Google Authenticator application, allowing you to store issuers and emails to distinguish multiple one-time passwords from the same website.UpdateThe update command allows you to amend or change details of a one-time password. Changing the secret will prompt you to confirm, as it is a potentially dangerous action.DeleteThe delete command deletes saved one-time passwords:
Package: otp-gen
A command line interface for generating one time passwords as perRFC 4226andRFC 6238RequirementsPython version 3.6.x and greaterInstallationThe way to install otp-gen is to usepip$pip3installotp-genGetting StartedYou need to provision secret key, issuer, user associated with token by usingconfigcommand. Default values are shown if any.$otpconfigSecretkey:JBSWY3DPEHPK3PXPIssuer:FooUser:BarPeriod(30seconds):Digits(6):Algorithm(SHA-256):UsageYou can request a new OTP by usinggetcommand. A progress bar appears next to the code to indicate expiry period of it.getcontinuously provides valid codes until killed.$otpgetCode=004790,progress[*****************-----------------------]Current configuration can be embedded in a QR code by usingqrcodecommand.$otpqrcodeReferenceshttps://github.com/google/google-authenticator/wiki/Key-Uri-Formathttps://github.com/freeotpLicenseotp-gen is underMIT license
Package: otp-generator
OTP GeneratorA Python tool to generate and verify One Time Password (OTP)This tool is designed to enable developers generate and verify OTP using Pythoncyrptophypackage.An OtpServer class provides basic operations for generating and verifying OTP.
There is no database support provided for saving to a given database rather hooks are provided as functions.
The function hooks take two parameters: a callable and a data.
The callable is any class, method, or function which should be executed when an event occurs.
The data parameter is used to pass any set of information or data to the callable during execution.The hooks simply perform a function call without any data processing or checks.Developers are expected to perform necessary modifications to make this tool fit their designed system(s).MotivationThe OTP generator was developed as a means of authenticating user's email, mobile or identity.DependenciesThis application depends oncryptographypackage. The target Python for current implementation is Python 3.8Build StatusVersion: 0.1.0Current development ofotp_generatoris version 0.1.0. This is considered the Alpha Edition.FeaturesCurrent build features include:Generate OTP with corresponding data for later verification of the generated codeVerify OTP code using stored data that does not identify the generated OTP code.It is assumed that all data generated for a given OTP code are securely saved.
Developers are to ensure storage and retrieval of data. Various function hooks are provided to this end.ContributingPlease visit application repo for further information on extending project. Ideas and comments will be reasonably
appreciated.AuthorCurrent development is by Aniefiok Friday@frier17.LicenseMIT Licensehttps://mit-license.org/For details read license contracthereCopyright 2021 @frier17Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may
obtain a copy of the License athttps://mit-license.org/Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "
AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific
language governing permissions and limitations under the License.
Package: otp-logatta-django
otp_logatta_djangoDescriptionthis package uses the relenes api to send otp to the user and verify itto use this app1- In your project's settings.py file, add your app to the list of INSTALLED_APPS:INSTALLED_APPS=[...'otp_logatta_django',]2- define a varibale in thesettings.pyfile for the api keyRELENES_API_KEY= 'your api key'
    RELENES_SENDER_ID= 'your sender id'3- In your project's urls.py file, add the following line:path('otp/',include('Django_otp.urls')),4- now you have access to the following urls/otp/send//otp/verify/