Saravanan666/pypi-org huggingface dataset:
Package: notarizer
NotarizerThe following tool provides a way of verifying the authenticity of docker images. By providing a digital signature that gives a strong reason to believe that the image was created by a known source and was not altered. The following signature is generated by the content of the docker image history.How does Notarizer work?Notarizer signs each parent image with a private key and place that signature in a docker labelLABEL signature=.... The signature contents are obtained through the docker history command. With this command it is possible to verify if the label exists and validate if the image has a digital signature.UsageBasic commands that are available in Notarizer.Signpython notarizer/cli.py sign -i image_name:image_tag -p private-key.pemOptions:-ior--image: the image name to verify in the formatimage_name:image_tag. This option is required with at least one image and it can be used multiple times to validate multiple images at the same time.-por--private-key: represents the path where the custom private key will be placed.-sor--signature-label: represents the custom label name given in the signature. Defaults tosignatureif the flag is not used.Verifypython notarizer/cli.py verify -i "image_name:image_tag" -p "public-key.pub"Options:-ior--image: the image name to verify in the formatimage_name:image_tag. This option is required with at least one image and it can be used multiple times to validate multiple images at the same time.-por--public-key: represents the path where the custom public key will be placed.-sor--signature-label: represents the custom label name given in the signature used in thesigncommand. Defaults tosignatureif the flag is not used.Exit CodesAfter the validation runs the following exit codes are thrown:- 0  - Verification OK / Signature OK
- 1  - Generic error
- 10 - No Signature Found
- 11 - Invalid Image Signature
- 12 - Verification Failure
- 13 - No Public Key Provided
- 14 - Image Not Found
- 15 - No Private Key Provided
- 16 - Error Creating Signed Docker ImageIf there's more than one error on the run (for instance if the verification runs for several images) the exit code will be from the first error found. Although, on the output it's provided the list of all errors found during the run.Generate Private and Public Keyopenssl genpkey -algorithm RSA -out private-key.pem -aes-256-cbc -pkeyopt rsa_keygen_bits:4096
openssl rsa -in private-key.pem -pubout -out public-key.pubContributingFork this repositoryFollow project guidelinesDo your stuffOpen a pull request followingconventional commitsLicenseMIT
Package: notashark
notasharkDescription:notashark-  discord bot for King Arthur's Gold, written in python + discord.py.
Its designed to be able to run on multiple discord guilds at once, feature ability
to setup some per-guild settings via chat commands (and save them between bot's
sessions in simple json file) and be able to display all major information related
to the game, including:List of servers with total amount of playersDetailed server info with minimap and nicknames of playersKagstats profile infoKagstats leaderboardsYou can see some usage screenshots inscreenshots.Development Status:This bot is considered to be feature-complete. There may be some small fixes and
improvements, but for the most - bot is already done and ready for daily usage.Dependencies:python 3.8 (may work on previous versions)discord.pyrequestspykagapiInstallation:From source:git clone https://github.com/moonburnt/notashark.gitcd notasharkpip install .From pypi:pip install notasharkDiscord permissions:notashark require the following Privileged Gateway Intents to work:Message Content IntentYou can configure them on developer portal (https://discord.com/developers/applications/),
under Settings -> Bot -> Privileged Gateway Intents.Usage:Bot's development repository containexample launcher script,
which, once configured, can be used as sort of "autorun template" to drop into
cronjob and forget about. Below are examples of how to run bot without it.Basic:Runpython -m notashark --show-logs --token=YOUR_TOKEN(where YOUR_TOKEN is
your discord bot's token)
This will run bot in its default configuration, suitable for most needs.Recommended:Set 'NOTASHARK_DISCORD_KEY' environment variable to your bot's discord tokenpython -m notashark -hto get list of all available launch flagsRunpython -m notasharkwith whatever flags you like (there is no need to
pass token as launch argument again - it will be fetched from envars).
This is a bit more secure thus recommended way to use this bot.Via Docker:Build docker container:docker build .Run docker container:docker run -e NOTASHARK_DISCORD_KEY={bot_token} {container_id}LICENSE:GPLv3
Package: notations
NotationsStatically estimateasymptotic notationfor a given Python function by looking at the level of loop-nesting inside the function.this is an early prototypeExamplefromnotationsimportnotationdefmy_example_function(arg1,arg2):f=0forainarg1:foriina:f+=1forbinarg2:forjinb:f+=1print(notation(my_example_function))Will printΘ(n^2)Seetest_notations.pyfor more examples.TODOThis is a rough sketch of a concept at this stage.whileoperatorsLook at the relationship between input arguments in a function, just because a loop is nested, doesn't mean theO(n_n)is correctbranches inside loopstest comprehensionsFAQWhy not use the AST?The AST cannot be built at runtime (easily) from a code object, this library is intended to be used to evaluate the execution-order of a compiled function.How could you possibly calculate the order without running the code?This function equates the order by looking at the level of loop-nesting in a function, the use of comprehensions and the relationships between arguments. Dynamic runtime benchmarks are susceptible to environmental conditions (noisy neighbours) and there are already plenty of tools out there that do thisResearch notesPaper on asymptotic heirarchyNotes on theta, O and omega functionsChanges0.2.0Change to theta values forrepr0.1.0Initial prototype supporting basic for loops
Package: notch.agent
Notch brings a programmatic interface to all your network equipment
like switches, routers and firewalls.  Its Agent manages the
command-line interfaces of network equipment in your network so that
you can write powerful network management applications using the
included Python library or from other languages by using the JSON-RPC
interface.NoteThis package provides just the Notch Agent. A basic installation on
a single machine also requires the client library, available in thenotch.clientpackage.For example, to get the version information from every cisco-ish
device on your network (via a Notch Agent running atlocalhost:8080):#!/usr/bin/env python

import notch.client

def callback(request):
  """Called by the Notch Client when a request is complete."""
  if request.error:
    print 'Exception: ', str.error.__class__.__name__
    print str(request.error)
  else:
    print request.result

nc = notch.client.Connection('localhost:8080')

# Gets a list of devices from the Notch Agent.
try:
  all_devices = nc.devices_matching('^.*$')
except notch.client.Error:
  print 'Error querying for devices.'
  all_devices = []

# Send the command to each device, asynchronously receiving results.
for device in all_devices:
  nc.command(device, 'show version', callback=callback)

# Wait for all outstanding requests to complete.
nc.wait_all()InstallationNoteAs of version 0.5, Notch is split into separatenotch.clientandnotch.agentpypi packages sharing a namespace packagenotch.Users upgrading from earlier versions must remove all existing Notch
packages before proceeding with installation:$ pip uninstall notch
$ pip uninstall notch.client
$ pip uninstall notch.agentAlso check your Pythonsite-packagesdirectories to ensure you
do not have anynotch*files or directories.Usepipto install both the Notch Agent or Client library.You’ll need both packages to start with, but in larger installations,
only machines acting as Agents require thenotch.agentpackage.$ pip install notch.agent
$ pip install notch.clientThis will install all but one dependency, which can be then installed using:$ pip install -e git+https://github.com/joshmarshall/tornadorpc.git@fda3e0e4#egg=tornadorpc-devYou can also useeasy_install, but we don’t recommend that. If you don’t
havepip, install it witheasy_installfirst.ConfigurationThe Notch Agent requires some configuration to get started, and things
are easiest if you already use the RANCID system, as the Notch Agent
will read its router.db configuration file to populate its inventory.Then, you can start a Notch Agent using the built-in testing server:$ notch-agent --config=/path/to/your/notch.yamlThe built-in testing server does not support parallel operation, so you
must use a WSGI compatible server for production operation.  Apache2 withmod_wsgiis used for many installations and an example configuration
can be found inconfig/notch-mod_wsgi.sample.conf.  The WSGI application
object itself is defined inwsgi/notch.wsgi.
Package: notch.client
The Notch Client Library allows one to connect to one or more Notch
Agents to get work done on network elements for you.Pre-requisitesOne or more Notch Agents (seehttp://code.google.com/p/notchfor
more information; install thenotch.agentPyPi package to start)How to install the latest stable release from PyPi:$ pip install notch.clientHow to install from source for the latest development version:$ hg clone https://bitbucket.org/enemesco/notch-client
$ pip install ./notch-clientNow you can install client tools that use the Notch Client to get work done.For more information, see:http://bitbucket.org/enemesco/notch-clientandhttp://code.google.com/p/notch
Package: notcli
NotCLI - An Interactive TUI Applicationnotcliis a Textual User Interface (TUI) application designed to streamline your command line tasks with easy-to-use shortcuts. The application leverages the power of Python'sargparseandrichlibraries to provide an intuitive interface, and thetextuallibrary for an interactive user experience.FeaturesInteractive Textual-based User Interface: Enjoy the power of command-line interfaces with the usability and aesthetics of a GUI.Load Variables from a File: Manage your environment variables with ease. Load variables from a file and export them to the environment.Error Handling and Display: When something goes wrong,notcliprovides meaningful error messages through customizable error screens.Shortcut Bindings: Make your tasks quicker with shortcut bindings, enabling fast access to your favorite commands.Extendable: The design ofnotcliis such that more features and shortcuts can be added in the future to cater to a wide range of use-cases.InstallationYou can installnotcliusing pip:pipinstallnotcliUsagenotcliis designed to bring simplicity and efficiency to your command line tasks. To usenotcli, simply call it from the command line followed by the appropriate command:notcliloadvarsThis command will launch the Textual interface, providing you with an interactive session where you can select the file that contains your environment variables. Once the file is selected,notcliwill load these variables into your environment.Ifnotcliencounters an error, such as an issue reading the file or loading the variables, it will bring up an error screen with the details of the error. This allows you to quickly understand what went wrong and how to fix it.Theloadvarscommand is just one of the featuresnotcliprovides. As the application grows, more commands and shortcuts will be added. For a list of currently available commands, simply runnotcliwithout any command:notcliThis will display a list of commands along with a brief description of what each command does.CommandDescriptionloadvarsLoads variables from a file and exports them to the environmenthelpDisplays a list of available commands and their descriptionsversionDisplays the version ofnotcliContributingContributions are welcome! Please readCONTRIBUTING.mdfor details on how to contribute to this project.LicenseThis project is licensed under the MIT License. See theLICENSEfile for details.
Package: notcologger
Not-co-loggerNot-co-logger is a simple Python library to help log things to stdout in a
specific JSON format. It is inspired by the checkout-logger TypeScript
library (https://github.com/CheckoutFinland/checkout-logger).How to useThis guide is short and in need of much verbosity.The idea behind this library is that typically in a complex cloud environment it makes ones life much easier if apps log to stdout in a consistent JSON format. This library implements in a pretty simple form some practices that have been found useful.LogSpan(requestId) creates a logspan object, which has error, warn, info and debug methods to log varying levels of messages. All messages have a type (for example "lambda.handler.start"), message, log group (for example technical or session), and optionally user (could be IP or user id) and meta (free form object).A good logtype is unique or at least easily greppable. We suggest naming them hierarchically, for example 'component.module.subtask' or something like that. A logtype should be informative but not overly rigid or verbose. Message is the typical human readable part of an event. Meta should be understood as a grab bag object for any additional fields that would be considered useful for the particular log event. For example a HTTP request log event could have the requested path included in the meta object.All log rows are bound together by the requestId when logging them. Timestamps are automatically added.LevelsThese are suggested guidelines for log levels:Error: The system has run into a fatal exception that requires attention from admins.Warning: Something went wrong, but admins do not need to be urgently alerted.Info: Normal logging.Debug: General developer friendly spam that is wanted in the logs for common "what the hell just happened" type of solving.Suggested groupHere are some groups that have been found to be useful:request: Incoming requestsresponse: Outgoing responsessession: Events related to an active sessiontechnical: Events related to some technical state or issuesExceptionSpanWhen you need to log an error but only when an exception is raised, you can use ExceptionSpan context manager:with ExceptionSpan('mylog.problem', 'Doing something fails') as log:
        do_something_that_fails()
        log.info('mylog.success', 'It worked!', 'technical')Ifdo_something_that_fails()fails and raises an exception, the ExceptionSpan logs an error. If the call succeeds, the optional log.info() is called. Note that ExceptionSpan does not catch the exception.
Package: not-covered-lines
not_covered_linesThis module takes a path to a directory, where previouslycoverage.pywas executed and thus now has the file.coveragein it, which it reads. It outputs a list of missing lines in
the form[(filename, line_number)]Usage ExampleSeeusage_example.pyas an example:$ python3 usage_example.py example.coverageNote: normally it is just.coveragebut this file is used for testing
and as long as it ends with.covergethe path is fineObviously you want to use this as library, not as script.
Package: notctyparser
notctyparsernotctyparser is a fork and extension ofctyparser.I've probably screwed something up. Use the original.A CTY.DAT parser for modern amateur radio programs.Installationnotctyparserrequires Python 3.6 at minimum.pip install notctyparserForkI just added a stupid check for update without doing the update.defcheck_update(self)->bool:Changed locale to en_US.utf8Used xpath to parse the download link.Chose more narrow raised exceptions.Specified utf-8 file encoding.Made the linter happy.CopyrightCopyright 2019-2022 classabbyamp, 0x5cReleased under the MIT License.SeeLICENSEfor the full license text.
Package: note
noteNote is a text-based note taking system that is simple and fast to use.Documentation:https://pythonhosted.org/note/DemosGoalsCreate and access notes quickly.Access notes from multiple places (command line, Vim plugin, web app)Provide multiple multiple bakends so users may choose what suits them or implement their own.Let users use their own text editor with the command line interface.Historyv0.5.1 (2015-01-4)Fixed bad testv0.5 (2015-01-4)Note server and client can now support all notes.0.2 (2014-07-15)First release on PyPI.Implemented prototype with basic functionality.
Package: notebook-as-pdf
Jupyter Notebooks as PDFThis Jupyter notebook extension allows you to save your notebook as a PDF.Three new features compared to the official "save as PDF" extension:produce a PDF with the smallest number of page breaks,the original notebook is attached to the PDF; andthis extension does not require LaTex.The created PDF will have as few pages as possible, in many cases only one. This is useful if you are exporting your notebook to a PDF for sharing with others who will view it on a screen.Every<h1>tag in the notebook will be converted into a entry in the table of contents of the PDF.To make it easier to reproduce the contents of the PDF at a later date the original notebook is attached to the PDF. Unfortunately not all PDF viewers know how to deal with attachments. PDF viewers known to support downloading of file attachments are: Acrobat Reader, pdf.js and evince. ThepdftkCLI program can also extract attached files from a PDF. Preview for OSX does not know how to display/give you access to attachments of PDF files.InstallTo use this bundler you need to install it:python -m pip install -U notebook-as-pdf
pyppeteer-installThe second command will download and setup Chromium. It is used to perform
the HTML to PDF conversion.On linux you probably also need to install some or all of the APT packages
listed inbinder/apt.txt.Use itCreate a notebook and the click "File -> Download As". Click the new menu entry
called "PDF via HTML". Your notebook will be converted to a PDF on the fly
and then downloaded.You can also use it withnbconvert:jupyter-nbconvert --to pdfviahtml example.ipynbwhich will create a file calledexample.pdf.You will have to use Acrobat Reader to see the attachment to your PDF. Preview
on OSX can not display PDF attachments.
Package: notebook-as-pdf-abirami
Jupyter Notebooks as PDFThis Jupyter notebook extension allows you to save your notebook as a PDF.Three new features compared to the official "save as PDF" extension:produce a PDF with the smallest number of page breaks,the original notebook is attached to the PDF; andthis extension does not require LaTex.The created PDF will have as few pages as possible, in many cases only one. This is useful if you are exporting your notebook to a PDF for sharing with others who will view it on a screen.Every<h1>tag in the notebook will be converted into a entry in the table of contents of the PDF.To make it easier to reproduce the contents of the PDF at a later date the original notebook is attached to the PDF. Unfortunately not all PDF viewers know how to deal with attachments. PDF viewers known to support downloading of file attachments are: Acrobat Reader, pdf.js and evince. ThepdftkCLI program can also extract attached files from a PDF. Preview for OSX does not know how to display/give you access to attachments of PDF files.InstallTo use this bundler you need to install it:python -m pip install -U notebook-as-pdf
pyppeteer-installThe second command will download and setup Chromium. It is used to perform
the HTML to PDF conversion.On linux you probably also need to install some or all of the APT packages
listed inbinder/apt.txt.Use itCreate a notebook and the click "File -> Download As". Click the new menu entry
called "PDF via HTML". Your notebook will be converted to a PDF on the fly
and then downloaded.You can also use it withnbconvert:jupyter-nbconvert --to pdfviahtml example.ipynbwhich will create a file calledexample.pdf.You will have to use Acrobat Reader to see the attachment to your PDF. Preview
on OSX can not display PDF attachments.
Package: notebook-as-pdf-updated
Jupyter Notebooks as PDFThis Jupyter notebook extension allows you to save your notebook as a PDF.Three new features compared to the official "save as PDF" extension:produce a PDF with the smallest number of page breaks,the original notebook is attached to the PDF; andthis extension does not require LaTex.The created PDF will have as few pages as possible, in many cases only one. This is useful if you are exporting your notebook to a PDF for sharing with others who will view it on a screen.Every<h1>tag in the notebook will be converted into a entry in the table of contents of the PDF.To make it easier to reproduce the contents of the PDF at a later date the original notebook is attached to the PDF. Unfortunately not all PDF viewers know how to deal with attachments. PDF viewers known to support downloading of file attachments are: Acrobat Reader, pdf.js and evince. ThepdftkCLI program can also extract attached files from a PDF. Preview for OSX does not know how to display/give you access to attachments of PDF files.InstallTo use this bundler you need to install it:python -m pip install -U notebook-as-pdf
pyppeteer-installThe second command will download and setup Chromium. It is used to perform
the HTML to PDF conversion.On linux you probably also need to install some or all of the APT packages
listed inbinder/apt.txt.Use itCreate a notebook and the click "File -> Download As". Click the new menu entry
called "PDF via HTML". Your notebook will be converted to a PDF on the fly
and then downloaded.You can also use it withnbconvert:jupyter-nbconvert --to pdfviahtml example.ipynbwhich will create a file calledexample.pdf.You will have to use Acrobat Reader to see the attachment to your PDF. Preview
on OSX can not display PDF attachments.
Package: notebookAutomationUtils
Jupyter ToolsProject contains automated sign off notebook generation tool. Follow the below steps to run the tool (ensure you have splunk csv data files to input data to the tool.)Steps for generating sign-off jupyter notebookOpenconfig.yamland change config values (ensure you provide correct output path and data folder path as arguments).cdintojupyter-toolsproject folder and runpython generate_notebook.pyLook up forNotebook.ipynbin given output path directoryRunNotebook.ipynbinline or by opening the notebook:To run inline via command prompt,cdinto output path directory and run below commandjupyter nbconvert --execute --inplace Notebook.ipynbTo open notebook and run, openNotebook.ipynband run each cell of the notebookConfig informationconfig.yamlcontains input values for generating notebook. Edit this file and provide appropriate values for each field.output_path (string):Location where the generated notebook should be storedplatform(str):Name of the platform, value should be iOS or Androiddevice_name (string):Name of the device used to generate the EPT datadevice_version (string):OS and OS version of the device used to generate the EPT datafrom_date (string):Splunk data generation start dateto_date (string):Splunk data generation end datecurrent_release_link (string):Hockey app link for current releaseprevious_release_link (string):Hockey app link for previous releasecurrent_release_server (string):Current release number for serverprevious_release_server (string):Previous release number for serverdata_folder_path (string):Path of the folder which contains splunk csv data files
Package: notebook-checker
Notebook CheckerA package to check notebook files for the use of globals inside functions. The
checker parses each cell's AST as it is run, and injects code into the AST to
ensure that when a function is called, that any free variables are only of the
type callable, type or module. If a function tries to access any other type of
variable, i.e. stored data, outside of the function's scope, then the checker
logs an error message, informing the user.