Saravanan666/pypi-org huggingface dataset:
Package: karrio.easypost
karrio.easypostThis package is a easypost extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.easypostUsageimportkarriofromkarrio.mappers.easypost.settingsimportSettings# Initialize a carrier gatewayeasypost=karrio.gateway["easypost"].create(Settings(...))Check thekarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.eshipper
karrio.eshipperThis package is a eShipper extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.eshipperUsageimportkarriofromkarrio.mappers.eshipper.settingsimportSettings# Initialize a carrier gatewayeshipper=karrio.gateway["eshipper"].create(Settings(...))Check thekarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.fedex
karrio.fedexThis package is a FedEx extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.fedexUsageimportkarriofromkarrio.mappers.fedex.settingsimportSettings# Initialize a carrier gatewayfedex=karrio.gateway["fedex"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.freightcom
karrio.freightcomThis package is a freightcom extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.freightcomUsageimportkarriofromkarrio.mappers.freightcom.settingsimportSettings# Initialize a carrier gatewayfreightcom=karrio.gateway["freightcom"].create(Settings(...))Check thekarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.generic
karrio.genericThis package is a Generic extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.genericUsageimportkarriofromkarrio.mappers.generic.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["generic"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.geodis
karrio.geodisThis package is a GEODIS extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.geodisUsageimportkarriofromkarrio.mappers.geodis.settingsimportSettings# Initialize a carrier gatewaygeodis=karrio.gateway["geodis"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.laposte
karrio.laposteThis package is a La Poste extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.laposteUsageimportkarriofromkarrio.mappers.laposte.settingsimportSettings# Initialize a carrier gatewaylaposte=karrio.gateway["laposte"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.locate2u
karrio.locate2uThis package is a Locate2u extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.locate2uUsageimportkarriofromkarrio.mappers.locate2u.settingsimportSettings# Initialize a carrier gatewaylocate2u=karrio.gateway["locate2u"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.nationex
karrio.nationexThis package is a Nationex extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.nationexUsageimportkarriofromkarrio.mappers.nationex.settingsimportSettings# Initialize a carrier gatewaynationex=karrio.gateway["nationex"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.purolator
karrio.purolatorThis package is a Purolator extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.purolatorUsageimportkarriofromkarrio.mappers.purolator.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["purolator"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio-python
karrio-pythonKarrio is a Multi-carrier Shipping API that simplifies the integration of logistic carrier services.Visitkarrio.ioto deploy your private cloud multi-carrier shipping API instance.DocumentationSee the fullPython API docs.RequirementsPython >= 3.6Installation & Usagepip installpipinstallkarrio-pythonThen import the package:importkarrioUsagePlease follow theinstallation procedureand then run the following:from__future__importprint_functionimportkarriofromkarrio.restimportApiExceptionfrompprintimportpprint# Configure API key authorization: Tokenkarrio.api_key='YOUR_API_KEY'karrio.host='https://api.karrio.io'try:api_response=karrio.carriers.list()pprint(api_response)exceptApiExceptionase:print("Exception when calling karrio.carriers->list:%s\n"%e)Documentation For ModelsAddressAddressDataAddressListAddressValidationCarrierListCarrierSettingsChargeCommodityCommodityDataCustomsCustomsDataCustomsListDocumentsDutyErrorResponseMessageMetadataOperationOperationConfirmationOperationResponseOrderOrderDataOrderListOrderUpdateDataParcelParcelDataParcelListPaymentPickupPickupCancelDataPickupCancelRequestPickupDataPickupListPickupRequestPickupResponsePickupUpdateDataPickupUpdateRequestRateRateRequestRateResponseReferencesShipmentShipmentCancelRequestShipmentDataShipmentListShipmentPurchaseDataShipmentRateDataShipmentUpdateDataShippingRequestShippingResponseTokenObtainPairTokenPairTokenRefreshTokenVerifyTrackerListTrackingEventTrackingResponseTrackingStatusWebhookWebhookDataWebhookListWebhookTestRequestAuthorTeam Karrio |hello@karrio.io|karrio.io
Package: karrio.roadie
karrio.roadieThis package is a Roadie extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.roadieUsageimportkarriofromkarrio.mappers.roadie.settingsimportSettings# Initialize a carrier gatewayroadie=karrio.gateway["roadie"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.royalmail
karrio.royalmailThis package is a Royal Mail extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.royalmailUsageimportkarriofromkarrio.mappers.royalmail.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["royalmail"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.sendle
karrio.sendleThis package is a Sendle extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.sendleUsageimportkarriofromkarrio.mappers.sendle.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["sendle"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.server
The Universal Shipping APIkarrio makes shipping services simple and accessible.FeaturesHeadless Shipping: Access a network of traditional and modern shipping carrier API-firstMulti-carrier SDK: Integrate karrio once and connect to multiple shipping carrier APIsExtensible: Use the karrio SDK Framework to integrate with custom carrier APIs.Shipping: Connect carrier accounts, get live rates and purchase shipping labels.Tracking: Create package tracker, get real time tracking status and provide a branded tracking page.Address Validation: Validate shipping addresses using integrated 3rd party APIs.Cloud: Optimized for deployments using Docker.Dashboard: Use thekarrio dashboardto orchestrate your logistics operations.Try it nowThere are several ways to use Karrio:Karrio Cloudlet's you use the fullset of shipping features. you don't need to deploy anything. We will manage and scale your infrastructure.Karrio OSSis an open-source version of karrio that provides the core functionality of karrio (rating API, tracking API, shipping API), but lacks more advanced features (multi-tenant/orgs, shipping billing data, built-in address validation, etc.)ResourcesDocumentationCommunity DiscussionsIssue TrackerBlogJoin us on DiscordLicenseThis repository contains both OSS-licensed and non-OSS-licensed files. We maintain one repository rather than two separate repositories mainly for development convenience.All files in the/eefall under theKarrio LICENSE.The remaining files fall under theApache 2 license. Karrio OSS is built only from the Apache-licensed files in this repository.Any other questions, mail us athello@karrio.ioWe’d love to meet you!
Package: karrio.sf-express
karrio.sf_expressThis package is a SF-Express extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.sf_expressUsageimportkarriofromkarrio.mappers.sf_express.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["sf_express"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.tnt
karrio.tntThis package is a TNT extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.tntUsageimportkarriofromkarrio.mappers.tnt.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["tnt"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.ups
karrio.upsThis package is a UPS extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.upsUsageimportkarriofromkarrio.mappers.ups.settingsimportSettings# Initialize a carrier gatewayups=karrio.gateway["ups"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.ups-freight
karrio.ups_freightThis package is a UPS Freight extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.ups_freightUsageimportkarriofromkarrio.mappers.ups_freight.settingsimportSettings# Initialize a carrier gatewayups_freight=karrio.gateway["ups_freight"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.usps
karrio.uspsThis package is a USPS extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.uspsUsageimportkarriofromkarrio.mappers.usps.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["usps"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.usps-international
karrio.usps_internationalThis package is a USPS International extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.usps_internationalUsageimportkarriofromkarrio.mappers.usps_international.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["usps"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.yanwen
karrio.yanwenThis package is a Yanwen extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.yanwenUsageimportkarriofromkarrio.mappers.yanwen.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["yanwen"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.yunexpress
karrio.yunexpressThis package is a Yunexpress extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.yunexpressUsageimportkarriofromkarrio.mappers.yunexpress.settingsimportSettings# Initialize a carrier gatewaycanadapost=karrio.gateway["yunexpress"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: karrio.zoom2u
karrio.zoom2uThis package is a Zoom2u extension of thekarriomulti carrier shipping SDK.RequirementsPython 3.7+Installationpipinstallkarrio.zoom2uUsageimportkarriofromkarrio.mappers.zoom2u.settingsimportSettings# Initialize a carrier gatewayzoom2u=karrio.gateway["zoom2u"].create(Settings(...))Check theKarrio Mutli-carrier SDK docsfor Shipping API requests
Package: kars
kars: Kernel Approximation of Raman Spectrakarsis a python package for kernel approximations to spectra, and in particular, coherent-antistokes raman spectroscopy. For examplekarscan create quick approximations using library of output spectra from CARSFT.SoftwareOurpython packagekarsis available onpypi.VignettesA basic vignette of how to usekarswith a library of CARSFT data is available in asjupyter notebook|python script|markdown|htmlThe data is available here:spectra.csvparams.csvwn.csvPapers1. "Adaptive Modeling Powers Fast Multi-parameter Fitting of CARS Spectra"Ourpublicationis available on arXivhere
Package: kart
KartA very flexible static site generator written in pythonGetting startedInstall Kart with pip$pipinstallKartBuild the basic structure$python-mkartinitIn this configuration Kart will only build a basic blog with a paginated blog index and paginated tags. If you want to customize the urls of the blog you will have to modify main.py with custom python codeYou can then build and serve your site with this command$python3main.pyserveDisclaimerKart is not yet ready to use in a real-world scenario. It is still in development its api can change abruptly each minor version.I am currently writing thedocumentationof kart but it is by no mean complete. If you want to look at some examples you can look the docs folder, where the documentation is held, and the source code of theexample site
Package: kartaview-tools
Commandline tools to upload discrete images toKartaView.Also supports Vantrue OnDash X4S videos.UsageInstall:pip3 install kartaview-toolsAuthorize:  This step is needed only once.  You need an OSM account.kv_authYour KartaView credentials are now stored in the file~/.config/kartaview/credentials.json.  Keep this file secret.  The KartaView credentials
do not expire, but you can delete the credentials file, in which case you must authorize again.Sequence the images:kv_sequence ~/Pictures/kartaview/*.jpgThis step sorts your images into sequences. It extracts the GPS data from your images and stores
it in sidecar files, where you can easily review it.Upload the images:kv_upload ~/Pictures/kartaview/*.jpgThe script remembers which images were successfully uploaded.  In case of errors, if you run the
upload script on the same images again, the ones already uploaded will not be uploaded again.Run the scripts with ‘-h’ to see more options.VideosThis software only supports videos produced by the Vantrue OnDash X4S dashcam.To split a video file into discrete images use ffmpeg.Proposed workflow:mkdir -p /tmp/frames#extractI-framesforbetterclarityffmpeg -skip_frame nointra -i ~/Videos/dash.mp4 -vsync 0 -frame_pts 1 /tmp/frames/%08d.jpg#patchGPSdataintoimagefileskv_vantrue_x4s -i ~/Videos/dash.mp4 /tmp/frames/%08d.jpg#sequenceimagefileskv_sequence /tmp/frames/%08d.jpg#uploadfileskv_upload /tmp/frames/%08d.jpgSee:https://trac.ffmpeg.org/wiki/Create%20a%20thumbnail%20image%20every%20X%20seconds%20of%20the%20videoGPX FilesYou can extract the GPS data in your video into a GPX file and then use third-party
tools (eg.  exiftool) to further process it.Proposed workflow:kv_vantrue_x4s -i ~/Videos/dash.mp4 --gpx=track.gpx
exiftool -geotag=track.gpx /tmp/framesSee:https://exiftool.org/geotag.html
Package: kartezio
KartezioA Darwinian Designer of Explainable Algorithms for Biomedical Image SegmentationPackage Description[TODO]InstallationTested on Windows, Ubuntu 18.04, Ubuntu 22.04.Tested with different versions of Python3: 3.7, 3.8, 3.9 and 3.10.Creation of a virtualenv is recommanded:python3-mpipinstallvirtualenv
python3-mvenv<path/to/venv/venv_name>source<path/to/venv/venv_name>/bin/activate
pipinstall--upgradepipInstallation from Pypi(venv_name)$pipinstallkartezioLocal installation using pip(venv_name)$gitclone[TODO](venv_name)$cdkartezio(venv_name)$python-mpipinstall-e.First steps[TODO]Reported ResultsKartezio was compared on the Cell Image Library dataset against the reported performance of Cellpose/Stardist/MRCNN (December, 2022) as reported in Stringer et al, Nature Methods, 2021 and published in Cortacero et al, Nature Communnications, 2023:KartezioKartezioKartezioCellposeStardistMRCNNTraining images85089898989AP50 on test set0.838 (mean)0.849 (mean)0.858 (mean)0.91 (max)0.76 (max)0.80 (maxAn additional, but not published, comparison was performed against the reported performance of CPP-Net, on BBBC006v1 dataset reported in Chen et al, 2023 (July, 2023):Kartezio-s1Kartezio-s2CPP-NetStardistTraining images2020538538AP50 on test set0.8220.8790.98110.9757References and Citation[TODO .bibtex]LicensingThe Software must be used for Non-Commercial Research only, under the terms and conditions set out in the License file, and You may not use the Software except in compliance with the License.
The 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 file for the specific language governing permissions and limitations under the License.
Package: kartik-talwar-102003475
topsis_kartiktalwar_102003475What is TOPSISTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method.Installationpip install kartik-talwar-102003475==1.2.1Input csv formatInput file contain atleast three columnsFirst column is the object/variable nameOther columns contain numeric values onlyHow to use itCommand Prompttopsis <python_file> <Input Data File> <Weights> <Impacts> <Result File Name>Example:topsis topsis.py inputfile.csv “1,1,1,1,2” “+,+,+,+,-” result.csvNote: The weights and impacts should be ',' seperated, input file should be in pwd.Functions, Parameters and Return Valuesfunction = topsis()
parameters = No input parameters
return values = Creates a csv file with the topsis rank and performance scoreSample input dataModelP1P2P3P4P5M10.620.383.833.89.65M20.750.565.750.314.33M30.950.906.565.618.49M40.610.376.243.612.70M50.600.366.461.217.14M60.760.585.368.018.66M70.660.446.247.213.63M80.800.645.737.111.06Sample output dataModelP1P2P3P4P5Performance ScoreTopsis RankM10.620.383.833.89.650.3172721858M20.750.565.750.314.330.4520688714M30.950.906.565.618.490.6890373071M40.610.376.243.612.700.3403839037M50.600.366.461.217.140.3672063766M60.760.585.368.018.660.4813509013M70.660.446.247.213.630.3729999725M80.800.645.737.111.060.512266352
Package: kartingpros
Karting-ProsAboutKarting Pros is a 2-D top view racing game made on python using the pygames library. The current version has multiple tracks which includes a time trial mode to test your best lap times agains yourself, a multiplayer mode that allows you to play against your friends on the same key board, and an AI mode with different difficulty levels to play against.AuthorsKevin KostaVishvak SeenichamyWesly BoydCarson HamelInstallation and DependenciesIn order to run karting pros the user should use the following commands$ pip install kartingprosIn order to run the game, the user must use the following command$ KartingProsDevelopinghttps://github.com/Vishvak365/Karting-Pros/wiki/Developing-and-Running-Karting-ProsGithub Link to Repositoryhttps://github.com/Vishvak365/Karting-Pros
Package: kartoffel
Identify modules used in a Python application.To run:kartoffel module:func [args for application]For example, for IPython:kartoffel IPython:start_ipythonYour application will run. If any modules are dynamically loaded (e.g. plugins),
activate the features to ensure that they are loaded. Then quit your application.After your application exits, Kartoffel will capture a list of all the Python
modules loaded (sys.modules). Then it will classify these into groups:Modules from identified distributions (i.e. PyPI packages)Modules from the standard library (usingstdlib_list)Modules not from files (builtins and dynamically created modules)UnidentifiedThe results are saved askartoffel-result.jsonin the working directory.
A summary is printed on stdout.
Package: kartograf
Kartograf: A Geometry-Based Atom MapperKartograf is a packgage for atom mappings focussing on 3D geometries.
This package can be for example be used to generate hybrid topology systems, where an atom mapping is required to determine the core region of the approach.
But of course there exist also other use cases for this package.
The atom mapper takes two set of coordinates of molecules as input.
Optionally those set of coordinates can be aligned onto each other, checkout theatom_alignermodule functions
of Kartograf that offer a shape alignment implementation and a MCS-skeleton alignment.
Theatom_mappercan be used to generate the 3D geometry focused atom mapping, the algorithm is described in the related publication of Kartograf (see reference).
Additionally, rule based filter functions can be provided to demap atoms, that do not fullfill the desired criteria, seefilters.
Several mapping scoring metrics are provided, that evaluate geometric properties of your mapping, fromatom_mapping_scorer, which might be useful for checking quality of your mappings.
Finally, there is a visualization functiondisplay_mappings_3dthat can be used to check out the mappings with a jupyter notebook widget.You can find our Preprint onChemRxivTry our interactive demo:UsagefromrdkitimportChemfromkartograf.atom_alignerimportalign_mol_shapefromkartograf.atom_mapping_scorerimportMappingRMSDScorerfromkartografimportKartografAtomMapper,SmallMoleculeComponent# Preprocessing from Smiles - Here you can add your Input!# Generate Data: STARTsmiles=["c1ccccc1","c1ccccc1(CO)"]rdmols=[Chem.MolFromSmiles(s)forsinsmiles]rdmols=[Chem.AddHs(m,addCoords=True)forminrdmols][Chem.rdDistGeom.EmbedMolecule(m,useRandomCoords=False,randomSeed=0)forminrdmols]# Generate Data: END# Build Small Molecule ComponentsmolA,molB=[SmallMoleculeComponent.from_rdkit(m)forminrdmols]# Align the mols first - this might not needed, depends on input.a_molB=align_mol_shape(molB,ref_mol=molA)# Build Kartograf Atom Mappermapper=KartografAtomMapper(atom_map_hydrogens=True)# Get Mappingkartograf_mapping=next(mapper.suggest_mappings(molA,a_molB))# Score Mappingrmsd_scorer=MappingRMSDScorer()score=rmsd_scorer(mapping=kartograf_mapping)print(f"RMSD Score:{score}")kartograf_mappingInstallationLatest releaseKartograf can be installed via the package following package managers:pip(PyPI)pipinstallkartografconda(conda-forge)condainstall-cconda-forgekartografKartograf can be used via the OpenFE environment like:fromopenfe.setup.atom_mappingimportkartografDevelopement versionThe developing setup of Kartograf works like this:gitclonehttps://github.com/OpenFreeEnergy/kartograf.gitcdkartograf
mambaenvcreate-fenvironment.yml

mambaactivatekartograf
pipinstall-e.LicenseThis library is made available under the MIT open source license.AuthorsThe OpenFE development team.
Package: karton
Karton is a tool which can transparently run Linux programs on macOS,
a different Linux distro, or a different architecture.
To do this, you just need to tell Karton which distro to use, which
packages to install, and which directories to make accessible. This is
called an image.Then you can run your commands inside the image just by adding
“karton run image-name” in front of your commands.Underneath, Karton uses Docker to allow running programs and manage
semi-persistent containers.