Saravanan666/pypi-org huggingface dataset:
Package: azubiheftApi
Azubiheft Web API WrapperThis library provides a Python wrapper for azubiheft.com. With this library, developers can easily manage their Ausbildung (training) reports through a script, allowing for enhanced automation and better control over their Ausbildung documentation.🚀Note: This API wrapper is unofficial and independent of the official Azubiheft platform. This repository stands as a tribute tojoshmuente/azubiheft-api. Heartfelt thanks to the original creator.📖 About AzubiheftAzubiheft brings a streamlined online approach to training documentation. Designed for businesses, instructors, and apprentices, it offers an effortless way to manage every training entry online. With Azubiheft, you're always one step ahead with all your training data right at your fingertips.🛠 InstallationpipinstallazubiheftApi🔍 UsageHere's a quick guide on how to use theazubiheftApi:fromazubiheftApiimportazubiheftApifromdatetimeimportdatetime# Initialize sessionazubiheft=azubiheftApi.Session()# Loginazubiheft.login("yourUserName","yourPassword")# Check login statusprint(azubiheft.isLoggedIn())# Get available subjectssubjects=azubiheft.getSubjects()print(subjects)# Add a new subjectazubiheft.add_subject("New Subject")# Delete an existing subject by IDazubiheft.delete_subject("subjectId")# Fetch a report by datereport=azubiheft.getReport(datetime(2023,10,19))print(report)# Get a week's report IDweek_id=azubiheft.getReportWeekId(datetime.now())print(week_id)# Write a new report entryazubiheft.writeReport(datetime(2023,10,19),"Hello World","2:00",1)# its also possible to format the text using \n or just like this# """# Hello World# This is a new line# """# Fetch the report again to see changesreport=azubiheft.getReport(datetime(2023,10,19),include_formatting=True)#  include_formatting=True to include formattingprint(report)# Log out from the sessionazubiheft.logout()# Check login status (should be False after logging out)print(azubiheft.isLoggedIn())🌱 ContributionFeel free to fork, star, or contribute to this repository. For any bugs or feature requests, please open a new issue.
Package: azucar-web-driver
Automation LibraryDescripciÃ³nLa bibliotecaazucar_web_driverfacilita la automatizaciÃ³n de navegadores web usando Selenium. Ideal para tareas de navegaciÃ³n y pruebas automatizadas.InstalaciÃ³nInstala desde GitHub:pip install git+https://github.com/juank704/azucar_web_driver.gitUsofromautomation.chrome_factoryimportChromeFactorydriver=ChromeFactory.create_instance()ContribucionesContribuciones son bienvenidas. EnvÃ­a tus PRs al repositorio.LicenciaLicenciado bajo [MIT]ContactoPara soporte: [juan_k704@hotmail.com]
Package: azul-voos
azul-voosScraping de dados de voos da empresa Azul.Utiliza selenium para fazer o scraping.Driver utilizadoChrome DriverInstalaçãopipinstallazul_voosExemplo de uso:fromazul_voosimportazulmyScraper=azul.FlightScraper()query_list=[azul.Query('GRU','CNF','10/02/2023'),azul.Query('GRU','BSB','01/05/2023')]results=myScraper.scrape(query_list)
Package: azuma
azumaYet anotherSigmalibrary for Python.Note: This is a forked version ofCybercentreCanada/pysigma. Most of the things in this library come from their hard work.Seedocumentationfor more details.Alternativeshttps://github.com/bradleyjkemp/sigma-gohttps://github.com/markuskont/go-sigma-rule-enginehttps://github.com/binalyze/tigma
Package: azup
azupArmy of robots already here, they are just hiding in datacenters. This is my
attempt to understand how to manage that army in context of Azure cloud.I know there are well supported projects that do simular things:
ARM templates, Terraform and may be more ... and still I want to understand
cloud from first principles. So here it is.I may do simular thing for GCP and AWS later.Dev setupInstall all dependencies:pip install -e .[dev]Tidy up and run tests:python setup.py tidy; pytestInstallBeta:pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple azupStable:pip install azupUsageNo much but:$ azup
USAGES:
 azup dump_config <resource_group>
 azup list_images <config_yml>
 azup purge_acr <config_yml>
 azup syncup_apps <config_yml>YAML configTODO
Package: azure
Microsoft Azure SDK for PythonThis package was the Microsoft Azure bundle.Starting with v5.0.0, this package is deprecated. Please install the service specific packages prefixed byazureneeded for your application.The complete list of available packages can be found at:https://aka.ms/azsdk/python/allHere's a non-exhaustive list of common packages:azure-mgmt-compute: Management of Virtual Machines, etc.azure-mgmt-storage: Management of storage accounts.azure-mgmt-resource: Generic package about Azure Resource Management (ARM)azure-keyvault-secrets: Access to secrets in Key Vaultazure-storage-blob: Access to blobs in storage accountsA more comprehensive discussion of the rationale for this decision can be found in the following issue:https://github.com/Azure/azure-sdk-for-python/issues/10646
Package: azure-ai-language-nspkg
# Microsoft Azure SDK for PythonThis is the Microsoft Azure ai-language Services namespace package.This package is not intended to be installed directly by the end user.Since version 3.0, this is Python 2 package only, Python 3.x SDKs will usePEP420 <https://www.python.org/dev/peps/pep-0420/>as namespace package strategy.
To avoid issues with package servers that does not supportpython_requires, a Python 3 package is installed but is empty.It provides the necessary files for other packages to extend the azure.ai namespace.If you are looking to install the Azure client libraries, see theazurebundle package.![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fsdk%2Ftextanalytics%2Fazure-ai-nspkg%2FREADME.png)
Package: azure-ai-mlmonitoring
Azure Machine Learning Model Monitoring SDKTheazure-ai-mlmonitoringpackage provides an SDK to enable Model Data Collector (MDC) for custom logging allows customers to collect data at arbitrary points in their data pre-processing pipeline. Customers can leverage SDK inscore.pyto log data to desired sink before, during, and after any data transformations.Start by importing theazure-ai-mlmonitoringpackage inscore.pyimport pandas as pd
import json
from azure.ai.mlmonitoring import Collector

def init():
  global inputs_collector, outputs_collector

  # instantiate collectors with appropriate names, make sure align with deployment spec
  inputs_collector = Collector(name='model_inputs')                    
  outputs_collector = Collector(name='model_outputs')

def run(data): 
  # convert json to python object and convert to pandas Dataframe
  input_df = pd.DataFrame(json.loads(data))

  # collect inputs data, store correlation_context
  context = inputs_collector.collect(input_df) 

  # perform scoring with pandas Dataframe, return value is also pandas Dataframe
  output_df = predict(input_df) 

  # collect outputs data, pass in correlation_context so inputs and outputs data can be correlated later
  outputs_collector.collect(output_df, context)
  
  return output_df.to_dict()
  
def predict(input_df):
  # process input and return with outputs
  ...
  
  return output_dfCreate environment with base imagemcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04and conda dependencies, then build the environment.channels:
  - conda-forge
dependencies:
  - python=3.8
  - numpy=1.23.5
  - pandas=1.5.2
  - pip=22.3.1
  - pip:
      - azureml-defaults==1.38.0
      - requests==2.28.1
      - azure-ai-mlmonitoring
name: model-envCreate deployment with custom logging enabled (model_inputs and model_outputs are enabled) and the environment you just built, please update the yaml according to your scenario.#source ../configs/model-data-collector/data-storage-basic-OnlineDeployment.YAML
$schema: http://azureml/sdk-2-0/OnlineDeployment.json

endpoint_name: my_endpoint #unchanged
name: blue #unchanged
model: azureml:my-model-m1:1 #azureml:models/<name>:<version> #unchanged
environment: azureml:custom-logging-env:1 #unchanged
data_collector:
  collections:
    model_inputs:
      enabled: true
    model_outputs:
      enabled: trueChange Logv0.1.0a3(2023.2.13)ImprovementsRefine README.md.Refactor code.Log error message when data collected is not Pandas Dataframe.v0.1.0a2(2023.1.16)ImprovementsRefine README.md.v0.1.0a1(2023.1.4)New FeaturesSupport model data collection for pandas Dataframe.
Package: azure-ai-nspkg
# Microsoft Azure SDK for PythonThis is the Microsoft Azure ai Services namespace package.This package is not intended to be installed directly by the end user.Since version 3.0, this is Python 2 package only, Python 3.x SDKs will usePEP420 <https://www.python.org/dev/peps/pep-0420/>as namespace package strategy.
To avoid issues with package servers that does not supportpython_requires, a Python 3 package is installed but is empty.It provides the necessary files for other packages to extend the azure.ai namespace.If you are looking to install the Azure client libraries, see theazurebundle package.![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fsdk%2Ftextanalytics%2Fazure-ai-nspkg%2FREADME.png)
Package: azure-ai-translation-nspkg
# Microsoft Azure SDK for PythonThis is the Microsoft Azure ai-translation Services namespace package.This package is not intended to be installed directly by the end user.Since version 3.0, this is Python 2 package only, Python 3.x SDKs will usePEP420 <https://www.python.org/dev/peps/pep-0420/>as namespace package strategy.
To avoid issues with package servers that does not supportpython_requires, a Python 3 package is installed but is empty.It provides the necessary files for other packages to extend the azure.ai namespace.If you are looking to install the Azure client libraries, see theazurebundle package.![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fsdk%2Ftextanalytics%2Fazure-ai-nspkg%2FREADME.png)
Package: azure-alerts-plugin
Azure alerts monitoring pluginChecks azure alerts and raise an alert if some problem is found.VERSIONReferences:Azure Monitor Alerts.Azure Monitor permissions.InstallLinux:sudo pip3 install azure_alerts_plugin --upgradeAlso is possible to use:sudo python3 -m pip install azure_alerts_plugin --upgradeOn windows with python3.5:pip install azure_alerts_plugin --upgradeFor proxies add:--proxy='http://user:passw@server:port'UsageUse the command line:> azure_alerts_plugin --help
    usage: azure_alerts_plugin [-h] [---tenant_id [TENANT_ID]]
                                [--client_id [CLIENT_ID]]
                                [--client_secret [CLIENT_SECRET]]
                                [--suscription_id [SUSCRIPTION_ID]]
                                [--time_range [TIME_RANGE]]
                                [-e [EXTRA_ARGS]]

    optional arguments:
                        -h, --help show this help message and exit
                        [---tenant_id [TENANT_ID]] Header tenant_id
                        [--client_id [CLIENT_ID]] Header client_id
                        [--client_secret [CLIENT_SECRET]] Header client_secret
                        [--suscription_id [SUSCRIPTION_ID]] Header client_id
                        [--time_range [TIME_RANGE]] Header time_range
                        -e [EXTRA_ARGS], --extra_args [EXTRA_ARGS] extra args to add to curl, see curl manpageExample usageExample basic usage:> azure_alerts_plugin --tenant_id '{tenant_id}' --client_id '{client_id}' --client_secret '{client_secret}' --suscription_id '{suscription_id}' --time_range '{time_range}'Nagios configExample command:define command{
    command_name  azure_alerts_plugin
    command_line  /usr/local/bin/azure_alerts_plugin --tenant_id '$ARG1$' --client_id '$ARG2$' --client_secret '$ARG3$' --suscription_id '$ARG4$' --time_range '$ARG5$'
}With proxy defined# use azure_alerts_plugin with proxydefine command{command_name azure_alerts_plugin
command_line https_proxy=http://user:pass@PROXYIP:PORT /usr/local/bin/azure_alerts_plugin –tenant_id ‘$ARG1$’ –client_id ‘$ARG2$’ –client_secret ‘$ARG3$’ –suscription_id ‘$ARG4$’ –time_range ‘$ARG5$’
}Example service:define service {
    host_name                       SERVERX
        service_description             service_name
        check_command                   azure_alerts_plugin!{tenant_id}!{client_id}!{client_secret}!{suscription_id}!{time_range}
        use                                         generic-service
        notes                           some useful notes
    }With proxy defined:define service {host_name                       SERVERX
service_description             service_name
check_command                   azure_alerts_plugin_proxy!!{tenant_id}!{client_id}!{client_secret}!{suscription_id}!{time_range}
use                                         generic-service
notes                           some useful notes
}You can use ansible role that already has the installation and command:https://github.com/CoffeeITWorks/ansible_nagios4_server_pluginsTODOUse hash passwordsAdd Unit tests?
Package: azureChatGPT
Azure_ChatGPTAccording to theAzure OpenAI Service Documentation, the GPT-35-Turbo model for Azure OpenAI service only has completion functionality, and cannot perform conversations like the official OpenAI API.[2023/3/23 update] Azure update api_version: 2023-03-15-preview. Now we can use openai.ChatCompletion for gpt-3.5-turbo and gpt4.Based on the chat prompt construction method provided in the documentation.I have made modifications to the source code of the V3 module inChatGPT.Encapsulate Azure OpenAI GPT-3.5-Turbo model and GPT-4 model into a chat API. Extensible for chatbots etc.Installationpython3 -m pip install azureChatGPT --upgradeTerminal ChatGetapi_key,api_base,engine_gpt-3.5-turbo,engine_gpt-4from your Azure (API_KEY, ENDPOINT, ENGINE)engineset default engine "gpt-3.5-turbo" or "gpt-4"Modify the configuration fileazure.yamland runCommand linepython3 -m azureChatGPT --config azure.yamlYou can save or load your YAML at any time during the program's execution, making it easy to restore your work state (including conversation records).$ python3 -m azureChatGPT -h

    ChatGPT - Official azureChatGPT API
    Repo: github.com/EvAnhaodong/Azure_ChatGPT
    
Type '!help' to show a full list of commands
Press Esc followed by Enter or Alt+Enter to send a message.

usage: __main__.py [-h] [--temperature TEMPERATURE] [--top_p TOP_P] [--system_prompt SYSTEM_PROMPT] --config CONFIG [--submit_key SUBMIT_KEY]

options:
  -h, --help            show this help message and exit
  --temperature TEMPERATURE
                        Temperature for response
  --top_p TOP_P         Top p for response
  --system_prompt SYSTEM_PROMPT
                        Base prompt for chatbot
  --config CONFIG       Path to config yaml file
  --submit_key SUBMIT_KEY
                        Custom submit key for chatbot. For more information on keys, see https://python-prompt-toolkit.readthedocs.io/en/stable/pages/advanced_topics/key_bindings.html#list-of-special-keysDisclaimersThis is a personal project. Modify fromChatGPT
Package: azure-cli
Microsoft Azure CLIA great cloud needs great tools; we’re excited to introduceAzure CLI, our next generation multi-platform command line experience for Azure.Usage$az[group][subgroup][command]{parameters}Getting StartedAfter installation, use theaz configurecommand to help setup your environment.$azconfigureFor usage and help content, pass in the-hparameter, for example:$azstorage-h$azvmcreate-hHighlightsHere are a few features and concepts that can help you get the most out of the Azure CLI.The following examples are showing using the--outputtableformat, you can change your default using the$ az configurecommand.Tab CompletionWe support tab-completion for groups, commands, and some parameters#lookingupresourcegroupandname$azvmshow-g[tab][tab]AccountingGroup   RGOne  WebPropertiesRG$azvmshow-gWebPropertiesRG-n[tab][tab]StoreVM  Bizlogic$azvmshow-gWebPropertiesRG-nBizlogicQueryingYou can use the--queryparameter and the JMESPath query syntax to customize your output.$azvmlist--query'[].{name:name,os:storageProfile.osDisk.osType}'Name                    Os
----------------------  -------
storevm                 Linux
bizlogic                Linux
demo32111vm             Windows
dcos-master-39DB807E-0  LinuxCreating a new Linux VMThe following block creates a new resource group in the ‘westus’ region, then creates a new Ubuntu VM.  We automatically provide a series of smart defaults, such as setting up SSH with your~/.ssh/id_rsa.pubkey.  For more details, tryaz vm create-h.$azgroupcreate-lwestus-nMyGroupName     Location
-------  ----------
MyGroup  westus$azvmcreate-gMyGroup-nMyVM--imageubuntultsMacAddress         ResourceGroup    PublicIpAddress    PrivateIpAddress
-----------------  ---------------  -----------------  ------------------
00-0D-3A-30-B2-D7  MyGroup          52.160.111.118     10.0.0.4$ssh52.160.111.118Welcome to Ubuntu 14.04.4 LTS (GNU/Linux 3.19.0-65-generic x86_64)

System information as of Thu Sep 15 20:47:31 UTC 2016

System load: 0.39              Memory usage: 2%   Processes:       80
Usage of /:  39.6% of 1.94GB   Swap usage:   0%   Users logged in: 0jasonsha@MyVM:~$More Samples and SnippetsFor more usage examples, take a look at ourGitHub samples repo.Reporting issues and feedbackIf you encounter any bugs with the tool please file an issue in theIssuessection of our GitHub repo.To provide feedback from the command line, try theaz feedbackcommand.LicenseMITRelease HistorySeeAzure CLI release notes.
Package: azure-cli-advisor
Microsoft Azure CLI ‘advisor’ Command ModuleThis package is for the ‘advisor’ module.
i.e. ‘az advisor’Release History2.0.1Minor fixes.2.0.0GA release.0.6.0BREAKING CHANGE: ‘show’ commands log error message and fail with exit code of 3 upon a missing resource.0.5.2Minor fixes.0.5.1sdistis now compatible with wheel 0.31.00.5.0BC:advisor configuration gethas been renamed toadvisor configuration list.BC:advisor configuration sethas been renamed toadvisor configuration update.BC:advisor recommendation generatehas been removed.advisor recommendation listhas a new –refresh parameter.advisor recommendation showhas been added.Support Autorest 3.0 based SDKs0.1.2Minor fixes.0.1.1Update for CLI core changes.0.1.0Initial release of module.
Package: azure-cli-ams
Microsoft Azure CLI ‘ams’ Command ModuleThis package is for the ‘ams’ module.
i.e. ‘az ams’Release History0.4.7Return ISO 8601 time strings for archive-window-length and key-frame-interval-duration.0.4.6Minor fixes.0.4.5Bug fix for asset and account filters update.0.4.4Theaccount-filterandasset-filterparameter–bitratehas been deprecated and will be removed in a future release.
It has been renamed to–first-quality.New encryption parameters support inams streaming-policy createcommand added.New paramterfiltersadded to ams streaming-locator create.0.4.3Minor fixes.0.4.1ams streaming-endpoint [start | stop | create | update] : added ‘wait’ commandams live-event [create | start | stop | reset] : added ‘wait’ command0.4.0BREAKING CHANGE: asset group commandams asset get-streaming-locatorsrenamedams asset list-streaming-locators.BREAKING CHANGE: streaming-locator group commandams streaming-locator get-content-keysrenamedams streaming-locator list-content-keys.0.3.2Minor fixes0.3.1Minor fixes0.3.0New command groups added:ams account-filterams asset-filterams content-key-policyams live-eventams live-outputams streaming-endpointams mruNew commands to existing groups added:ams account check-nameams job updateams asset get-encryption-keyams asset get-streaming-locatorsams streaming-locator get-content-keysEncryption parameters support inams streaming-policy createcommand added.ams transform output removenow can be performed by passing the output index to remove.–correlation-dataand–labelarguments added forams jobcommand group.–storage-accountand–containerarguments added forams assetcommand group.Default values for expiry time (Now+23h) and permissions (Read) inams asset get-sas-urlcommand added.BREAKING CHANGE:ams streaming locatorbase command replaced withams streaming-locator.BREAKING CHANGE:–content-keysargument fromams streaming locatorcommand updated.BREAKING CHANGE:–content-policy-namerenamed to–content-key-policy-nameinams streaming locatorcommand.BREAKING CHANGE:ams streaming policybase command replaced withams streaming-policy.BREAKING CHANGE:–preset-namesargument replaced with–presetinams transformcommand group. Now you can only set 1 output/preset at a time (to add more you have to runams transform output add). Also, you can set custom StandardEncoderPreset by passing the path to your custom JSON.BREAKING CHANGE:–output-asset-names ` renamed to `–output-assetsinams job startcommand. Now it accepts a space-separated list of assets in ‘assetName=label’ format. An asset without label can be sent like this: ‘assetName=’.0.2.4Minor fixes0.2.3Minor fixes0.2.2Minor changes0.2.1Consuming multi api azure.mgmt.authorization package0.2.0BREAKING CHANGE: ‘show’ commands log error message and fail with exit code of 3 upon a missing resource.0.1.1Minor changes0.1.0Initial release of module.
Package: azure-cli-backup
Microsoft Azure CLI ‘backup’ Command ModuleThis package is for the ‘backup’ module.
i.e. ‘az backup’Release History1.2.5Minor fixes.1.2.4Minor fixes.1.2.3Minor fixes.1.2.2Minor fixes.1.2.1backup vault backup-properties show: exception handling to exit with code 3 upon a missing resource for consistency.1.2.0BREAKING CHANGE: ‘show’ commands log error message and fail with exit code of 3 upon a missing resource.1.1.2Minor fixes.1.1.1sdistis now compatible with wheel 0.31.01.1.0Added new command ‘az backup protection isenabled-for-vm’. This command can be used to check if a VM is backed up by any vault in the subscription.Enabled –ids for vault_name and resource_group parameters for the following commands:
az backup container show
az backup item set-policy
az backup item show
az backup job show
az backup job stop
az backup job wait
az backup policy delete
az backup policy get-default-for-vm
az backup policy list-associated-items
az backup policy set
az backup policy show
az backup protection backup-now
az backup protection disable
az backup protection enable-for-vm
az backup recoverypoint show
az backup restore files mount-rp
az backup restore files unmount-rp
az backup restore restore-disks
az backup vault delete
az backup vault show‘name’ parameters now accept the name format as output from the show commands.1.0.7Support Autorest 3.0 based SDKs1.0.6New feature: ‘az backup item list’ command now has ‘–container-name’ parameter as optional instead of mandatory and output contains item health details.New feature: Added original storage account option in ‘az backup restore restore-disks’ command.Bugs fixed: VM and vault location check must be case insensitive in ‘az backup protection enable-for-vm’ command.1.0.5When a non-existent name is supplied for a container, commands will not fail with a stack trace. Partially fixes #4502.az backup item list update: ‘Health Status’ of an item is now visible in the default table view.1.0.4Minor fixes.1.0.3Minor fixes.1.0.2no changes1.0.1 (2017-09-22)Preview release.
Package: azure-cli-billing
Microsoft Azure CLI ‘billing’ Command ModuleThis package is for the ‘billing’ module.
i.e. ‘az billing’Release History0.2.2Minor fixes0.2.1Minor fixes0.2.0BREAKING CHANGE: ‘show’ commands log error message and fail with exit code of 3 upon a missing resource.0.1.9Minor fixes.0.1.8Add enrollment account commandssdistis now compatible with wheel 0.31.00.1.7Update for CLI core changes.0.1.6minor fixes0.1.5 (2017-09-22)minor fixes0.1.4 (2017-08-28)minor fixes0.1.3 (2017-07-07)minor fixes0.1.2 (2017-06-21)No changes.0.1.1 (2017-06-13)Minor fixes.0.1.0 (2017-05-30)Initial release