Saravanan666/pypi-org huggingface dataset:
Package: nimba
Nimba frameworkNimba is a python web framework for lazy developers, focusing only on your needs.warningThis project is private and is still in design, not ready for production. Create an issue if you encounter any bugs!Everything you need to know about Nimba FrameworkThe mask represents the fertility goddess, D'mba. Ansoumane presented the mask to his people, the Baga people, who welcomed him and adopted him as their protector; it thus became the symbol of its cultural identity.The key features are:Fast to code: Increase the speed to develop features. *Intuitive: Quick understanding. Less debugging time..Easy: Designed to be easy to use and learn. Less time reading docs.Short: Minimizes code duplication. Multiple functionalities. Fewer bugs.Installation$pipinstallnimbaCreate Application$nimbacreate--appawesome_appStructure projectapplication- Your app project (you will spend most of your time here).views.py- Your logic codemodels.py- Define here the schema of your databasetests.py- Write your test herestaticfiles- The static files.templates- Your template (html page etc...).settings.py- Settings database, secret key and other.mask.py- the command utility, start the server, create views and many more.Run serverIn your project appawesome_app$pythonmask.pyserveMonitoring for changes...Starting server in PID 72932June 25, 2021 - 18:04:32Serving on http://127.0.0.1:8000Quit the server with CONTROL-C.Openhttp://127.0.0.1:8000Continue with documentationtutorialLicenceThis project is licensed under the terms of Nimba solution compagny.CreditHarouna Diallo
Package: nimbasms
nimbasms-pythonA Python module for communicating with Nimba SMS API.InstallationpipinstallnimbasmsUsageimportloggingfromnimbasmsimportClientACCOUNT_SID='XXXX'AUTH_TOKEN='XXXX'client=Client(ACCOUNT_SID,AUTH_TOKEN)logging.basicConfig()logging.basicConfig(filename='./log.txt')# or loging in fileclient.http_client.logger.setLevel(logging.INFO)# Get your account balanceresponse=client.accounts.get()ifresponse.ok:my_account=response.dataprint('My Account balance :{}'.format(my_account['balance']))# Get groupsresponse=client.groups.list()ifresponse.ok:all_groups=response.dataprint('There are{}groupes'.format(len(all_messages)))# Get Sendernamesresponse=client.sendernames.list()ifresponse.ok:all_sendernames=response.dataforiteminall_sendernames:print(item)# Get Contactresponse=client.contacts.list()ifresponse.ok:all_contacts=response.dataforiteminall_contacts:print(item)# Create Contact# This contact will be added to the default contact listresponse=client.contacts.create(numero='224XXXXXXXXX')ifresponse.ok:contact=response.data# Create with groups and name - name and groups are optional.response=client.contacts.create(numero='224XXXXXXXXX',name='Foo',groups=['API','Facebook Client'])ifresponse.ok:contact=response.data# Get All messagesresponse=client.messages.list()ifresponse.ok:all_messages=response.dataprint('There are{}messages in your account.'.format(len(all_messages)))# Get only last 10 messagesresponse=client.messages.list(limit=10)ifresponse.ok:some_messages=some_messages.dataprint('Here are the last 10 messages in your account:')forminsome_messages:print(m)# send message...print('Sending a message...')response=client.messages.create(to=['XXXX'],sender_name='YYYY',message='Hi Nimba!')ifresponse.ok:print('message response :{}'.format(response.data))# Retrieve messageresponse=client.messages.retrieve(messageid='XXXXXXXXXXXXXXXXXXXXX')ifresponse.ok:print("Message retrieve :{}".format(response.data))CreditNimba SMS
Package: nimblebox
🏖️ Nboxnboxis NimbleBox.ai's official SDK.The entire purpose of this package is to make using ML 🥶.pip install nbox🔥 Usagenboxprovides first class support API for all NimbleBox.ai infrastructure (NBX-Build, Jobs, Deploy) and services (NBX-Workspaces) components. Write jobs usingnbox.Operators:fromnboximportOperatorfromnbox.nbxlib.opsimportMagic# define a class objectweekly_trainer:Operator=Magic()# call your operatorsweekly_trainer(pass_values="directly",)# confident? deploy it to your cloudweekly_trainer.deploy(job_id_or_name="magic_jobs",schedule=Schedule(4,30,['fri'])# schedule like humans)Deploy your machine learning or statistical models:fromnboximportModelfromtransformersimportAutoModelForSequenceClassification,AutoTokenizer# define your pre and post processing functionsdefpre(x:Dict):returnAutoTokenizer(**x)# load your classifier with functionsmodel=AutoModelForSequenceClassification.from_pretrained("distill-bert")classifier=Model(model,pre=pre)# call your modelclassifier(f"Is this a good picture?")# get full control on exporting itspec=classifier.torch_to_onnx(TorchToOnnx(...))# confident? deploy it your cloudurl,key=classifier.deploy(spec,deployment_id_or_name="classification")# use it anywherepred=requests.post(url,json={"text":f"Is this a good picture?"},header={"Authorization":f"Bearer{key}"}).json()🧩 LicenseThe code in thist repo is licensed asApache License 2.0. Please check for individual repositories for licenses.
Package: nimble-miner-api
Nimble Miner APIIt provides CLI, wallet and other APIs for the miners.DevelopmentInstall# installer option$/bin/bash-c"$(curl-fsSLhttps://raw.githubusercontent.com/nimble-technology/nimble-miner-api/master/scripts/install.sh)"# pip install option$pip3installnimble-miner-api# from source$gitclonehttps://github.com/nimble-technology/nimble-miner-api.git
$cdnimble-miner-api
$python3-mpipinstall-e./# test install from command line# usage: nbcli <command> <command args># commands:#   subnets (s, subnet) - Commands for managing and viewing subnetworks.#   root (r, roots) - Commands for managing and viewing the root network.#   wallet (w, wallets) - Commands for managing and viewing wallets.#   stake (st, stakes) - Commands for staking and removing stake from hotkey accounts.#   sudo (su, sudos) - Commands for subnet management.#   legacy (l) - Miscellaneous commands.$nbcli--help# test install from pythonimportnimble-miner-apiasnimble# cuda dependency for cubit install - python 3.10 examplepipinstallhttps://github.com/nimble-technology/cubit/releases/download/v1.1.2/cubit-1.1.2-cp310-cp310-linux_x86_64.whlWalletEach wallet has a coldkey. Each coldkey may contain multiple hotkeys and each hotkey belong to a single coldkey. Coldkeys are for secure fund management like transfer, staking, and fund storage. Hotkeys are for all online operations like signing, mining and validating.# wallet creation in pythonimportnimble-miner-apiasnimblewallet=nimble.wallet()wallet.create_new_coldkey()wallet.create_new_hotkey()# Sign data with the keypair.wallet.coldkey.sign(data)# use nbcli with wallet subcommand or alias w.$nbcliwalletnew_coldkey
$nbcliwalletnew_hotkey

$nbcliwalletregen_coldkey--mnemonic*************************************************# keys are available here: ~/.nimble/wallets$nbcliwalletlist# more commands$nbcliwalletlist
$nbcliwallettransferRelease (Admin Only)Run the following command to create dist folderpythonsetup.pysdistThen use the following command to publish to pypitwineuploaddist/nimble-miner-api-{version}.tar.gz
Package: nimblephysics
Stanford Nimblepip3 install nimblephysics** BETA SOFTWARE **Read our docsandthe paper.Use physics as a non-linearity in your neural network. A single timestep,nimble.timestep(state, controls), is a valid PyTorch function.We support an analytical backwards pass, that works even through contact and friction.It's as easy as:fromnimbleimporttimestep# Everything is a PyTorch Tensor, and this is differentiable!!next_state=timestep(world,current_state,control_forces)Nimble started life as a fork of the popular DART physics engine, with analytical gradients and a PyTorch binding. We've worked hard to maintain as much backwards compatability as we can, so many simulations that worked in DART should translate directly to Nimble.Check out ourwebsitefor more information.Installing on Arm64 Macs (M1, M2, etc)We don't yet publish Arm64 binaries to PyPI from our CI system, so you may not be able topip3 install nimblephysicsfrom a new Arm64 Mac.
We will endeavor to manually push binaries occassionally, but until GitHub Actions supports using Arm64 Mac runners, that may run a bit behind.Currently, the pre-built Arm64 binaries are ONLY AVAILABLE ON PYTHON 3.9. So if you create a virtual environment with Python 3.9, and thenpip3 install nimblephysics, that should work.If you really need another Python version for some reason, the solution is to clone this repo, then runci/mac/install_dependencies.shci/mac/manually_build_arm64_wheels.shThat will install the dependencies you need, and then build and install the Python package. Please create Issues if you run into problems, and we'll do our best to fix them.
Package: nimble-sdk
HPE Nimble Storage SDK for PythonThis is a Python Software Development Kit (SDK) forHPE Nimble Storagearrays. The HPE Nimble Storage array has a Representational State Transfer (REST) web service application programming interface (API). The SDK implements a simple client library for communicating with the HPE Nimble Storage REST API. The Python Requests library is being used to communicate with the API over HTTPS.The SDK provides a pythonic client library to interact with the HPE Nimble Storage REST API. The code abstracts the lower-level API calls into Python objects that you can easily incorporate into any automation or DevOps workflows. Use it to create, modify and delete most resources like volumes, volume collections, initiator groups and more, as well as perform other tasks like snapshotting, cloning, restoring data, etc.SynopsisSee thedocumentationon how toinstall,useand some pre-cookedworkflowsfor more elaborate examples.$pipinstallnimble-sdk$pythonPython3.7.7(default,Mar102020,15:43:03)[Clang11.0.0(clang-1100.0.33.17)]ondarwinType"help","copyright","credits"or"license"formoreinformation.>>>fromnimbleclientimportNimOSClient>>>api=NimOSClient("192.168.1.100","admin","admin")>>>api.api.access_control_recordsapi.fibre_channel_sessionsapi.replication_partnersapi.active_directory_membershipsapi.foldersapi.shelvesapi.alarmsapi.groupsapi.snapshot_collectionsapi.application_categoriesapi.initiator_groupsapi.snapshotsapi.application_serversapi.initiatorsapi.software_versionsapi.arraysapi.jobsapi.space_domainsapi.audit_logapi.key_managersapi.subnetsapi.chap_usersapi.master_keyapi.tokensapi.controllersapi.network_configsapi.user_groupsapi.disksapi.network_interfacesapi.user_policiesapi.eventsapi.performance_policiesapi.usersapi.fibre_channel_configsapi.poolsapi.versionsapi.fibre_channel_initiator_aliasesapi.protection_schedulesapi.volume_collectionsapi.fibre_channel_interfacesapi.protection_templatesapi.volumesapi.fibre_channel_portsapi.protocol_endpointsapi.witnessesRequirementsThe HPE Nimble Storage SDK for Python supports NimbleOS 5.0 or later and requires a recent version ofRequestsalong with Python 3.6 or newer.SupportHPE Nimble Storage SDK for Python is supported by HPE when used with HPE Nimble Storage arrays on valid support contracts. Please send an email tosupport@nimblestorage.comto get started with any issue you might need assistance with. Engage with your HPE representative for other means on how to get in touch with Nimble support directly.ContributingContributing guidelines are available in theofficial documentation.CommunityJoin the HPE DEV slack by signing up atslack.hpedev.io. HPE employees may sign in direct athpedev.slack.comwith a valid HPE address. We hang out in#NimbleStorage.LicenseSeeLICENSE
Package: nimbstor
Nimbstor is designed to be a secure and reliable tool to store data,
distributed, deduplicated, compressed and encrypted in different backends as
searchable archive list.The intergrated utility “nimbtar” is an TAR clone, but stores the archives in
Nimbstor. You can use it for incremental backups, or for storing and reading
archives on USB-Sticks, external harddrives, mailboxes, …Main features:Create, show, search and extract archives like TAR files.Each archive has an description, keywords and parent archive.Archives are fully deduplicated with rsync-like rolling hash algorithm.Archives are splited and stored on backend in blocks between 0 and 4 MiB
large.Blocks can be compressed (gzip, bzip2, LZMA) and encrypted (AES 256).Blocks are distributable over multiple backens.Support redundant store of blocks for failsafety.Support filesystem directories backend, with one file per block.Support IMAP mailboxes backend, with one message per block.Support WebDAV backend.Support sFTP backend with password and ssh-key authentication.Copy archives without recompression and recryption between storages.Parallel compression/decompression and encryption/decryption.Other backends, like FTP or NNTP, will come soon.Install it with “easy_install nimbstor” and type “nimbtar -h” for help.
Package: nimbus
Local development / usagePrerequisites: Python 2, virtualenv (pip install virtualenv)Clone this repository,cd nimbusMake a virtualenv:virtualenv venv(or use virtualenvwrapper)Activate the virtualenv:. venv/bin/activateInstall nimbus editable:pip install-e.Try out nimbus:nimbus--helpReleasing new package versionsTODOhttp://peterdowns.com/posts/first-time-with-pypi.htmlhttps://packaging.python.org/distributing/#upload-your-distributionsCredentialsYou’ll want a~/.pypircwith your PyPI test and live credentials:[distutils]index-servers=pypipypitest[pypitest]repository=https://testpypi.python.org/pypiusername=someuserpassword=sometestpassword[pypi]repository=https://pypi.python.org/pypiusername=someuserpassword=somepasswordPublish to testpypiPython runs a test mode version of the Python Package Index where you can test
out publishing updates. This is useful to double check that everything works
before publishing to the produciton PyPI, where you can never reuse version
numbers.Register the package:pythonsetup.pyregister-rhttps://testpypi.python.org/pypiBuild and upload (sdist, thenupload) in one go:pythonsetup.pysdistupload--sign-rhttps://testpypi.python.org/pypiPublish to PyPITag the version, here using 0.0.1:gittagv0.0.1gitpush--tagsRegister the package, if you haven’t already:pythonsetup.pyregister-rpypiBuild and upload:pythonsetup.pysdistupload-s-rpypi--signLicenseThe project is in the public domain, and all contributions will also be
released in the public domain. By submitting a pull request, you are agreeing
to waive all rights to your contribution under the terms of theCC0 Public
Domain Dedication.This project constitutes an original work of the United States Government.
Package: nimbus-chart
A Python Extended for Django.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_chart/InstallEasiest installation is viapippip install nimbus_chartQuick UsageCopyright and LicenseCopyright (c) 2001-2017william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-gateway
A Python Extended for Aliyun API Gateway.Supports Python 3.5 3.6 3.7 3.8 or 3.9+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.org/project/nimbus_gateway/InstallEasiest installation is viapippip install nimbus-gatewayQuick UsageCopyright and LicenseCopyright (c) 2001-2019william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-haystack
A Python Extended for Utils.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_utils/InstallEasiest installation is viapippip install nimbus-utilsQuick UsageCopyright and LicenseCopyright (c) 2001-2019william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-lib
nimbus-libLibrary for wrapping AWS CDK primitives in a useful way.FargateStackConfigurable CDK stack to take a docker image and deploy it to the cloud with the AWS CDK.
Intended to be subclassedSupport for bothECRimages and Docker Hub images.Persistent container volumes usingEFS.Passing environment variables to the containers.Allowlist of IP addresses (if you don't want the whole internet to have access).Updating arbitrary security groups to allow ingress from the containers (e.g. to allow your service access to an AWS database).Useful AWS/CDK commandsaws sso loginauthenticate with AWS via ssocdk lslist all stacks in the appcdk synthemits the synthesized CloudFormation templatecdk deploydeploy this stack to your default AWS account/regioncdk diffcompare deployed stack with current statecdk docsopen CDK documentationTo authenticate docker with the AWS Elastic Container Registry:aws ecr get-login-password | docker login --username AWS --password-stdin $AWS_ACCOUNT.dkr.ecr.$AWS_REGION.amazonaws.comUseful rye commandsryeis experimental, but I like it a lot, so I've been using it for all my personal projects, including this one.rye syncinstall dependenciesYou can still install things in standard pip fashion bypip install -r requirements.lockandpip install -r requirements-dev.lock.ScriptsThese are custom scripts defined inpyproject.tomlundertool.rye.scripts.rye run fmtrun code formattingrye run typecheckrun type checkingrye run lintrun code lintingrye run testrun testsrye run qualityrun formatting, linting, and tests on the project
Package: nimbusml
NimbusMLnimbusmlis a Python module that provides Python bindings forML.NET.nimbusmlaims to enable data science teams that are more familiar with Python
to take advantage of ML.NET's functionality and performance. It provides
battle-tested, state-of-the-art ML algorithms, transforms, and components. The
components are authored by the team members, as well as numerous contributors
from MSR, CISL, Bing, and other teams at Microsoft.nimbusmlis interoperable withscikit-learnestimators and transforms,
while adding a suite of fast, highly optimized, and scalable algorithms written
in C++ and C#.nimbusmltrainers and transforms support the following data
structures for thefit()andtransform()methods:numpy.ndarrayscipy.sparse_cstpandas.DataFrame.In addition,nimbusmlalso supports streaming from files without loading the
dataset into memory withFileDataStream, which allows training on data
significantly exceeding memory.WithFileDataStream,nimbusmlis able to handle up to abillionfeatures andbillionsof training examples for select algorithms.For more details, please refer to the documentation:https://docs.microsoft.com/en-us/nimbusml.Third party noticesnimbusmlcontains ML.NET binaries and the .NET Core CLR runtime, as well as
their dependencies. Both ML.NET and .NET Core CLR are made available under the
MIT license. Please refer to thethird party noticesfor full licensing information for ML.NET and .NET Core CLR.
Package: nimbus-postoffice
Exchange Mail Extended for post_office.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_postoffice/InstallEasiest installation is viapippip install nimbus_postofficeQuick UsageCopyright and LicenseCopyright (c) 2001-2017william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-post-office
Exchange Mail Extended for post_office.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_post_office/InstallEasiest installation is viapippip install nimbus_post_officeQuick UsageCopyright and LicenseCopyright (c) 2001-2017william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-scrapy
A Python Extended for Django.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_scrapy/InstallEasiest installation is viapippip install nimbus_scrapyQuick UsageCopyright and LicenseCopyright (c) 2001-2017william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-scrapyd-api
A Python Extended for Django.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_scrapyd_api/InstallEasiest installation is viapippip install nimbus_scrapyd_apiQuick UsageCopyright and LicenseCopyright (c) 2001-2017william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.
Package: nimbus-scrapy-rabbitmq
A Python Extended for Django.Supports Python 2.7, 3.4 or 3.5+Free software: Apache License 2.0On thePython Package Index (PyPI)Python Package Index (PyPI):https://pypi.python.org/pypi/nimbus_scrapy_rabbitmq/InstallEasiest installation is viapippip install nimbus_scrapy_rabbitmqQuick UsageCopyright and LicenseCopyright (c) 2001-2020william.ren@live.cnAll rights reserved.This software is licensed under the Apache License, Version 2.0. The
Apache License is a well-established open source license, enabling
collaborative open source software development.See the “LICENSE” file for the full text of the license terms.