Saravanan666/pypi-org huggingface dataset:
Package: oci-cli
AboutThis is the command line interface for Oracle Cloud Infrastructure.The project is open source and maintained by Oracle Corp. The home page for the project ishere.AnnouncementsInteractive FeaturesOCI CLI offers interactive features to guide you through command usage.Enabling them allows:Suggestions and autocompletion to help compose commands;Color-coded suggestions to distinguish required parameters from optional parameters; andQuick references display alongside suggestions to recognize command and parameter purposes.Try the interactive features anytime with the-ioption:oci -iRead more onOCI Documentation.Container ImageOCI CLI is now available as container images.With a standards-compliant container runtime engine, pull and run the latest version of oci-cli from the GitHub Container Registry.Read about setup requirements and instructions onWorking with the OCI CLI Container Image.Find previous image versions onour package page.InstallationMac OS Xbrew install oci-cliOCI Command Line Interface Installation and Configuration on Mac InstanceLinuxbash -c "$(curl -L https://raw.githubusercontent.com/oracle/oci-cli/master/scripts/install/install.sh)"OCI Command Line Interface Installation and Configuration on Linux InstanceOracle Linux 7sudo yum install python36-oci-cliFedora Linuxsudo dnf install oci-cliWindowspowershell -NoProfile -ExecutionPolicy Bypass -Command "iex ((New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/oracle/oci-cli/master/scripts/install/install.ps1'))"OCI Command Line Interface Installation and Configuration on Windows InstanceSee theinstallation guidefor detailed installation instructions, options and troubleshooting.Offline InstallationGo to theCLI releases pageand locate the required CLI version.For the release, go to the “Assets” area.Download and copy the zip file for your Operating System to the environment where you want to install CLI.Unzip the file and execute the following from inside the unzipped folderOn Linux:bash install.sh --offline-installOn Windows:install.ps1 -OfflineInstallOCI Command Line Interface (CLI) Installation on an Offline Linux InstanceOCI Command Line Interface (CLI) Installation on an Offline Windows InstanceUsageTo get help with the command line:oci --helporoci -hTo enable interactive features for usage guidance:oci -iExamplesExamples can be foundhereunder the section ‘Example Commands’.DocumentationDetailed documentation for CLI prerequisites, installation and configuration, and troubleshooting can be foundhere.HelpSee the “Questions or Feedback?” sectionhere.ChangesSeeCHANGELOG.Contributingoci-cli is an open source project. SeeCONTRIBUTINGfor details.Oracle gratefully acknowledges the contributions to oci-cli that have been made by the community.Known IssuesYou can find information on any known issues with the CLIhere,hereand under the “Issues” tab of this project’sGitHub repository.LicenseCopyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.This SDK and sample is dual licensed under the Universal Permissive License 1.0 and the Apache License 2.0.SeeLICENSEfor more details.
Package: ociedoo
ociedooociedoo is a cli collection of tools to simplify the management of odoo
on a server.See help for more info.Installationociedoo needs python version >= 3.5. So ensurepippoints to a correct
version of python. To do this run:pip--versionIt should return something like:pip xx.y from /path/to/pip (python 3.5)Ifpipdoesn't run python >=3.5, try runningpip3which is on
certain distribution thepipfor python >=3.Dependenciesociedoo uses external programs via the shell. Be sure they are installed
and accessible for the current user.psqlcreatedbdropdbsystemctlInstall for a specific userInstallation with pipx (recommended python >= 3.6)pipxinstallociedooInstallation with pipsi (recommended python < 3.5)pipsiinstallociedooInstall with pippipinstall--userociedooInstall system wide (for all users)Install with pipx (recommended python >= 3.6)First install pipx if not already installed:sudopipinstallpipxThen install ociedoo:sudoPIPX_HOME=/usr/localPIPX_BIN_DIR=/usr/local/binpipxinstallociedooInstall with pipsi (recommended python < 3.6)First install pipsi, if not already installed:sudocurlhttps://raw.githubusercontent.com/mitsuhiko/pipsi/master/get-pipsi.py|sudopython3---bin-dir/usr/local/bin--home/usr/local/venvs--no-modify-pathThen install ociedoo:sudopipsi--bin-dir/usr/local/bin--home/usr/local/venvsinstallociedooInstall with pipsudopipinstallociedooEnable bash completionBash completion for a specific userTo enable bash completion add the following in your.bashrc:# ociedoo# =======ifcommand-vociedoo>/dev/null;theneval"$(_OCIEDOO_COMPLETE=sourceociedoo)"fiOr if you use zsh, add this to your.zshrc:# ociedoo# =======ifcommand-vociedoo>/dev/null;theneval"$(_OCIEDOO_COMPLETE=source_zshociedoo)"fiBash completion system wide (for all users)To enable bash completion add the following in/etc/bash.bashrc:# ociedoo# =======ifcommand-vociedoo>/dev/null;theneval"$(_OCIEDOO_COMPLETE=sourceociedoo)"fiOr if you use zsh, add this to your/etc/zsh/zshrc:# ociedoo# =======ifcommand-vociedoo>/dev/null;theneval"$(_OCIEDOO_COMPLETE=source_zshociedoo)"fiUpgradeUpgrade for a specific userUpgrade with pipx (recommended python >= 3.6)pipxupgradeociedooUpgrade with pipsi (recommended python < 3.5)pipsiupgradeociedooUpgrade with pippipinstall--user--upgradeociedooUpgrade system wide (for all users)Upgrade with pipx (recommended python >= 3.6)sudoPIPX_HOME=/usr/localPIPX_BIN_DIR=/usr/local/binpipxupgradeociedooUpgrade with pipsi (recommended python < 3.5)sudopipsi--bin-dir/usr/local/bin--home/usr/local/venvsupgradeociedooUpgrade with pipsudopipinstall--upgradeociedoo
Package: oci-enum
Orca Oracle Enumeration ToolDisclaimerThis tool is for testing and educational purposes only.
Any other usage for this code is not allowed. Use at your own risk.
The author bears NO responsibility for misuse of this tool.
By using this you accept the fact that any damage caused by the use of this tool is your responsibility.IntroOCI Enum is designed to help enumerate various services in Oracle Cloud Infrastructure.
It can use two modes of authentication - with user credentials, similarly toOCI's official tooland using a compute instance's identity.
To obtain an instance's identity file, log on to the instance, and usewget(or another method of your choice) to download the json file fromhttp://169.254.169.254/opc/v1/identity.SetupFrom PyPiRunpip install oci-enumRunoci-enumFrom gitClone this repositoryChange directory to oci_enumRunpython setup.py installRunoci-enumTo doAdd support for additional servicesAdd "Brute Force" mode to enumerate all available (read) permissions
Package: oci-image
OCI Image Resource helperThis is a helper for working with OCI image resources in the charm operator
framework.UsageAdd this to your charm by includingoci-imagein yourrequirements.txtfile.TheOCIImageResourceclass will wrap the framework resource for the given
resource name, and callingfetchon it will either return the image info
or raise anOCIImageResourceErrorif it can't fetch or parse the image
info. The exception will have astatusattribute you can use directly,
or astatus_messageattribute if you just want that.Example usage:fromops.charmimportCharmBasefromops.mainimportmainfromoci_imageimportOCIImageResource,OCIImageResourceErrorclassMyCharm(CharmBase):def__init__(self,*args):super().__init__(*args)self.image=OCIImageResource(self,'resource-name')self.framework.observe(self.on.start,self._on_start)def_on_start(self,event):try:image_info=self.image.fetch()exceptOCIImageResourceErrorase:self.model.unit.status=e.statusevent.defer()returnself.model.pod.set_spec({'containers':[{'name':'my-charm','imageDetails':image_info,}]})if__name__=="__main__":main(MyCharm)DevelopingTests can be run withtox.
Package: oci-lego-exec
Oracle Cloud infrastructure DNS Authenticator script for LEGOhttps://go-acme.github.io/lego/dns/exec/Script automates the process ofdns-01challenge by managing TXT records using the Oracle Cloud Infrastructure
DNS service.Why?This package provides simpleocilegoutility to being executed by lego inacme_certificateterraform resource. Nativeoraclecloudprovider is difficult to use because of uncommon authentication
variables:https://github.com/go-acme/lego/issues/1380Installationpip3installoci-lego-execUsageresource"acme_certificate""certificate"{...dns_challenge{provider="exec"config={"EXEC_PATH"="ocilego"}}}Requirementsoci
Package: oci-mlflow
OCI Mlflow PluginThe OCI MLflow plugin enables OCI users to use OCI resources to manage their machine learning usecase life cycle. This table below provides the mapping between the MLflow features and the OCI resources that are used.MLflow Use CaseOCI ResourceUser running machine learning experiments on notebook, logs model artifacts, model performance etcData Science Jobs, Object Storage, MySQLBatch workloads using sparkData Flow, Object Storage, MySQLModel DeploymentData Science Model DeploymentUser running machine learning experiments on notebook, logs model artifacts, model performance etcObject Storage, MySQLInstallationTo install theoci-mlflowplugin call -python3-mpipinstalloci-mlflowTo test theoci-mlflowplugin call -mlflowdeploymentshelp-toci-datascienceDocumentationOCI MLflow DocumentationGetting started with Oracle Accelerated Data Science SDKGetting started with OCI Data Science JobsGetting started with Data Science EnvironmentsGetting started with Custom Conda EnvironmentsOracle AI & Data Science BlogOCI DocumentationExamplesRunning MLflow projects on the OCIData Science jobsandData Flow applications-exportMLFLOW_TRACKING_URI=<trackingserverurl>
mlflowrun.--experiment-nameMy-Experiment--backendoci-datascience--backend-config./oci-datascience-config.jsonDeploying MLflow models to the OCI Model Deployments -mlflowdeploymentshelp-toci-datascienceexportMLFLOW_TRACKING_URI=<trackingserverurl>

mlflowdeploymentscreate--name<modeldeploymentname>-mmodels:/<registeredmodelname>/<modelversion>-toci-datascience--configdeploy-config-file=deployment_specification.yamlContributingThis project welcomes contributions from the community. Before submitting a pull request, pleasereview our contribution guideFind Getting Started instructions for developers inREADME-development.mdSecurityConsult the security guideSECURITY.mdfor our responsible security vulnerability disclosure process.LicenseCopyright (c) 2023 Oracle and/or its affiliates. Licensed under theUniversal Permissive License v1.0
Package: ocio-lut-prescription
ocio-lut-prescriptionSummaryocio-lut-prescription is a gui tool used to wrap the ociobakelut commandUI OverviewNote: If you are already familiar with ociobakelut, the ui should be fairly simple to figure out.Generate a LUT, step by stepLoad your ocio configurationSelect Input and Output ColorSpace (or looks, if available)Select Lut FormatSelect Destination and bakeExtra FeaturesPersistent settings for ease of repeated usesystem/dark modeexpand window for operation summaryPrerequesitesopencolorio>=2python>=3.8pyside2installpip install ocio-lut-prescriptionexecuteocio-lut-prescription(in Terminal)teststox(in terminal) will run tests/pylint/black on the repoRelease historyv1.0.0: initial release
v1.2.0: bug fixes, pylink updateMiscIcon copyrightDisclaimerI'm not a doctor, those ain't real prescriptions.
Package: oci-recommendation
oci_recommendationoci_recommendation package gives recommendations for oracle cloudRelease Notesv0.0.7Bug Fixesv0.0.5Added recommendation for 'review and use life cycle management for storage objects if storage cost is more than 20% of the overall cost'Added recommendation for 'review compute instances and right size those and consider discount options like reserved instances, saving plans etc. if compute cost is more than 50% of the overall cost'Added recommendation for 'shutdown under utilized virtual machines during offline hours if compute cost is more than 75% of the over all cost if compute cost is more than 75% of the over all cost'v0.0.4Added 'Improve fault tolerance' with method improve_fault_tolerance()Minor bug fixesv0.0.3Minor bug fixesv0.0.2Multi compartments now supportedBug fixesv0.0.1 - Initial ReleaseThis release contains the following methodsdel_idle_instances()purge_unattached_boot_volume()purge_unattached_volume()enable_monitoring_for_instances()enable_olm = fn.enable_olm()enable_performance_auto_tuning_for_boot_vol()enable_performance_auto_tuning_for_block_vol()get_recommendations()
Package: ocldev
ocldevDevelopment library for working with OCL metadata and APIsocldevpackage is published to PyPi, which means you can easily install it with pip, eg:pip install ocldevThese classes are implemented currently:OclResourceList, OclCsvResourceList, OclJsonResourceList -OclFlexImporter & OclBulkImporter - Used to import JSON resources into OCLOclImportResults - Used to process the results of an importOclExport & OclExportFactory - Used to fetch exports from OCLOclCsvToJsonConverter - Used to convert CSV files to OCL-formatted JSONOclValidator - Validates OCL-formatted JSON and CSV resources and resource listsDeployment to PyPiOCL's continuous integration service (Bamboo) offers two custom build plans to deploy theocldevpackage to the test or the production PyPi servers. PyPi requires that the version number is unique inhttps://github.com/OpenConceptLab/ocldev/blob/master/setup.py#L8, otherwise PyPi will return an error. A user account is required to access OCL's CI service.
Package: oc_log_helper
oc_log_helperMy template for small libraries and command-line tools.InstallationInstallpython3-gi:sudo apt install python3-giInstalloc_log_helper:pipxinstalloc_log_helper--system-site-packagesorpipinstalloc_log_helper--system-site-packagesConfigure toggl:togglconfigIt'll ask for token. You can generate it at the bottom ofthis page.Add hotkey to quickly executeoc_log_helper log-work.
Package: oclrfc
oclrfcclemeetssklearnTo see OpenCL-based Random Forest Classifiers in action, check out thedemo-notebook.
For optimal performance and classification quality, it is recommended togenerate feature stacksthat fit well to the the image data you would like to process.InstallationYou can installoclrfcvia [pip]. Note: you also needpyopencl.conda install pyopencl
pip install oclrfcContributingContributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.LicenseDistributed under the terms of the BSD-3 license,
"oclrfc" is free and open source softwareIssuesIf you encounter any problems, pleaseopen a thread on image.scalong with a detailed description and tag@haesleinhuepf.
Package: ocm2
ocm2This python package extracts sub-datasets from OCM-2 HDF file, geo-reference them and exports them to GeoTIFF. The package also creates a cloud mask layer.GitHub repo:https://github.com/akhi9661/ocm2PyPI:https://pypi.org/project/ocm2/Free software: MIT licenseDocumentation:https://akhi9661.github.io/ocm2FeaturesExtract sub-datasets from OCM-2 HDF fileGeo-reference the extracted GeoTIFF files or extract and geo-reference them if not extracted.CreditsThis package was created withCookiecutterand thegiswqs/pypackageproject template.
Package: ocmd
simple command line tool for oss## Commands
- [x] ocpscp-like copy tool### Options`--access_key[OSS_ACCESS_KEY]--secret_key[OSS_SECRET_KEY]--endpoint[OSS_ENDPOINT] `### OCP
#### Extra Options`-r/--recursiveupload folders too-v/--verboseverbose output `#### Sample` ocp-rvsrcbucket:/remote-path`
Package: oc-mirror
oc-mirrorOverviewA utility that can be used to mirror OpenShift releases, Operator releases, and atomic signatures between docker registries.InstallationFrompypi.org$ pip install oc_mirrorFrom source code$gitclonehttps://github.com/crashvb/oc-mirror
$cdoc-mirror
$virtualenvenv
$sourceenv/bin/activate
$python-mpipinstall--editable.[dev]UsageCreating an atomic signatureNote: Currently, only WebDAV upload is supported.atomic\--signature-storehttps://my-webdav-server/\sign\--keyid=my-magic-keyid\registry.redhat.io/redhat/redhat-operator-index:v4.8@sha256:6ddf56b65877a0d603fcc8f06bca7314f18816d5734c878094b7a1b5598ce251Verifying an atomic signatureDRCA_CREDENTIALS_STORE=~/.docker/quay.io-pull-secret.json\atomic\--signature-store=https://mirror.openshift.com/pub/openshift-v4/signatures/openshift/release\--signature-type=manifest\verify\quay.io/openshift-release-dev/ocp-release:4.4.6-x86_64@sha256:7613d8f7db639147b91b16b54b24cfa351c3cbde6aa7b7bf1b9c80c260efad06Mirroring an OpenShift releaseDRCA_CREDENTIALS_STORE=~/.docker/quay.io-pull-secret.json\oc-mirror\--signature-store=https://mirror.openshift.com/pub/openshift-v4/signatures/openshift/release\mirror\quay.io/openshift-release-dev/ocp-release:4.4.6-x86_64\some-other-registry.com:5000/openshift-release-dev/ocp-release:4.4.6-x86_64Mirroring an Operator releaseDRCA_CREDENTIALS_STORE=~/.docker/quay.io-pull-secret.json\op-mirror\--no-check-signatures\mirror\registry.redhat.io/redhat/redhat-operator-index:v4.8\some-other-registry.com:5000/redhat/redhat-operator-index:v4.8\compliance-operator:release-0.1\local-storage-operator\ocs-operatorEnvironment VariablesVariableDefault ValueDescriptionATOMIC_KEYIDIdentifier of the GnuPG key to use for signing.ATOMIC_KEYPASSThe corresponding key passphrase.ATOMIC_SIGNATURE_STOREhttps://mirror.openshift.com/pub/openshift-v4/signatures/openshift/releaseSignature store location at which atomic signatures are (to be) located.ATOMIC_SIGNATURE_TYPEiamge-configWhether atomic signature digest reference Manifests or Image Configurations.ATOMIC_SIGNING_KEYPath to the GnuPG armored keys used to verify atomic signatures.OCM_SIGNATURE_STOREuse locations embedded in release metadataSignature store location at which atomic signatures are located.OCM_SIGNING_KEYuse keys embedded in release metadataPath to the GnuPG armored keys used to verify atomic signatures.OPM_SIGNATURE_STOREhttps://mirror.openshift.com/pub/openshift-v4/signatures/openshift/releaseSignature store location at which atomic signatures are located.OPM_SIGNING_KEYPath to the GnuPG armored keys used to verify atomic signatures.DevelopmentSource Control
Package: ocmpy
OCMpyOCMpy is a python wrapper for the Open Charge Map API for EV charging stations. Details on the API and project can be found athttps://openchargemap.org/site/developGetting StartedTo installpip install ocmpyTo runimport ocmpy

ocmpyInstance = Ocmpy()
ocmpyInstance.open()
stations = ocmpyInstance.getstationsbylocation(40.027435, -105.251945)
[print(x) for x in stations]

Station ID: 102790, Title: COMM VITALITY
Station ID: 80295, Title: BOULDER
Station ID: 8333, Title: 2285 28TH St
Station ID: 72265, Title: NATURE CONSVNCY
Station ID: 71506, Title: UCAR & NCAR
Station ID: 80294, Title: 3223 ARAPAHOE
Station ID: 89605, Title: BVSD
Station ID: 28231, Title: City of Boulder - Municipal Service Center
Station ID: 89601, Title: Gold Run Health Club 1
Station ID: 89600, Title: UNIV. OF COLPrerequisitesThe only non-standard module required at this time is 'requests'pip install -r requirements.txtRunning the testspython3 -m unittest test/test_ocmpy.pyDeploymentpip install ocmpyAuthorsJeremy Banker-Initial work-LoredousLicenseThis project is licensed under the GPLv3 - see theLICENSEfile for details
Package: ocnn
O-CNNDocumentationThis repository contains thepure PyTorch-based implementation ofO-CNN. The code has been tested withPytorch>=1.6.0, andPytorch>=1.9.0is preferred.O-CNN is an octree-based sparse convolutional neural network framework for 3D
deep learning. O-CNN constrains the CNN storage and computation into non-empty
sparse voxels for efficiency and uses theoctreedata structure to organize
and index these sparse voxels.The concept of sparse convolution in O-CNN is the same withH-CNN,SparseConvNet,
andMinkowskiNet.
The key difference is that our O-CNN uses theoctreeto index the sparse
voxels, while these 3 works use theHash Table.Our O-CNN is published in SIGGRAPH 2017, H-CNN is published in TVCG 2018,
SparseConvNet is published in CVPR 2018, and MinkowskiNet is published in
CVPR 2019. Actually, our O-CNN was submitted to SIGGRAPH in the end of 2016 and
was officially accepted in March, 2017. The camera-ready version of our O-CNN was
submitted to SIGGRAPH in April, 2017. We just did not post our paper on Arxiv
during the review process of SIGGRAPH. Therefore,the idea of constraining CNN
computation into sparse non-emtpry voxels is first proposed by our O-CNN.
Currently, this type of 3D convolution is known as Sparse Convolution in the
research community.Key benefits of ocnn-pytorchSimplicity. The ocnn-pytorch is based on pure PyTorch, it is portable and
can be installed with a simple command:pip install ocnn. Other sparse
convolution frameworks heavily rely on C++ and CUDA, and it is complicated to
configure the compiling environment.Efficiency. The ocnn-pytorch is very efficient compared with other sparse
convolution frameworks.  It only takes 18 hours to train the network on
ScanNet for 600 epochs with 4 V100 GPUs. For reference, under the same
training settings, MinkowskiNet 0.4.3 takes 60 hours and MinkowskiNet 0.5.4
takes 30 hours.
Package: oc-ocdm
oc_ocdmDocumentation can be found here:https://oc-ocdm.readthedocs.io.oc_ocdmis a Python ≥3.7 library that enables the user to import, produce, modify and export RDF data
structures which are compliant with theOCDM v2.0.1specification.User's guideThis package can be simply installed withpip:pipinstalloc_ocdmPlease, have a look at the notebooksavailable here.Developer's guideFirst stepsInstall Poetry:pipinstallpoetryClone this repository:gitclonehttps://github.com/iosonopersia/oc_ocdmcd./oc_ocdmInstall all the dependencies:poetryinstallBuild the package (output dir:dist):poetrybuildGlobally install the package (alternatively, you can also install it inside a virtual-env,
by providing the full path to the .tar.gz archive):pipinstall./dist/oc_ocdm-<VERSION>.tar.gzIf everything went the right way, than you should be able to use theoc_ocdmlibrary in your Python modules as follows:fromoc_ocdm.graphimportGraphSetfromoc_ocdm.graph.entities.bibliographicimportAgentRole# ...How to run the testsJust run the following command inside the root project folder:poetryruntestHow to manage the project using PoetrySeePoetry commands documentation.AAA: when adding a non-dev dependency viapoetry add, always remember to add
that same dependency to theautodoc_mock_importslist indocs/source/conf.py(otherwise "Read the Docs" won't be able to compile the documentation correctly!).How to publish the package onto Pypipoetrypublish--buildInstall dependencies needed for the documentationpipinstallSphinxsphinx_rtd_themeHow to generate the documentationrm./docs/source/modules/*sphinx-apidoc-o./docs/source/modulesoc_ocdm*test*How to build the documentationWarning! In order to avoid getting the followingWARNING: html_static_path entry '_static' does not exist, you'll
need to manually create an empty_staticfolder with the command:mkdirdocs/source/_staticAlways remember to move inside thedocsfolder:cddocsUse the Makefile provided to build the docs:on Windowsmake.bat htmlon Linux and MacOsmake htmlOpen thebuild/html/index.htmlfile with a web browser of your choice!AcknowledgementsThis work has been funded by the project “Open Biomedical Citations in Context Corpus”
(Wellcome Trust, Grant n. 214471/Z/18/Z) and the project “Wikipedia Citations in Wikidata”
(Wikimedia Foundation,https://meta.wikimedia.org/wiki/Wikicite/grant/Wikipedia_Citations_in_Wikidata).We would like to thank (in alphabetic order) Fabio Mariani (@FabioMariani), Arcangelo
Massari (@arcangelo7), and Gabriele Pisciotta (@GabrielePisciotta) for the constructive feedback.
Package: ocomp
Execute the given command over gRPC in Open Command Platform (ocomp).This can be also used to run the ocomp commands from command console.For CLI modeSetup the following environment variables, before using this sdk.
OPEN_CLI_MODE - It can operate in two mode. CLI or RPCFor RPC modeOPEN_CLI_REQUEST_ID - Request UUID. If not set, sdk will initialize to random uuid-4OPEN_CLI_RPC_HOST   - OCOMP gRPC server IPOPEN_CLI_RPC_PORT   - OCOMP gRPC server port