Saravanan666/pypi-org huggingface dataset:
Package: assault
assaultA simple CLI load testing tool.InstallationInstall usingpip:$ pip install assaultUsageThe simplest usage ofassaultrequires only a URL to test against and 500 requests synchronously (one at a time). This is what it would look like:$ assault https://example.com
.... Done!
--- Results ---
Successful requests     500
Slowest                 0.010s
Fastest                 0.001s
Average                 0.003s
Total time              0.620s
Requests Per Minute     48360
Requests Per Second     806If we want to add concurrency, we'll use the-coption, and we can use the-roption to specify how many requests that we'd like to make:$ assault -r 3000 -c 10 https://example.com
.... Done!
--- Results ---
Successful requests     3000
Slowest                 0.010s
Fastest                 0.001s
Average                 0.003s
Total time              2.400s
Requests Per Minute     90000
Requests Per Second     1250If you'd like to see these results in JSON format, you can use the-joption with a path to a JSON file:$ assault -r 3000 -c 10 -j output.json https://example.com
.... Done!DevelopmentFor working onassult, you'll need to have Python >= 3.7 (because we'll useasyncio) andpipenvinstalled. With those installed, run the following command to create a virtualenv for the project and fetch the dependencies:$ pipenv install --dev
...Next, activate the virtualenv and get to work:$ pipenv shell
...
(assault) $
Package: assault-and-battery
Battery discharge calculatorThis is a simple script that will calculate the discharge curve of a battery. It does
this by communicating with a flight controller running INAV (with calibrated voltage and
current sensors) with a constant load attached.It reads the voltage, instant amperage, and Ah consumed, and writes the samples to a CSV
file for later plotting.InstallationUse pipx:$pipxinstallassault_and_batteryAnd run the script as:$assault--helpUsagePlug an FC with calibrated sensors to USB, making sure to either cut the VCC cable (or
put some tape over the VCC pin), or use Bluetooth, USB-Serial, or some other way that
doesn't power the FC. Also make sure to not have any ground loops.Then, run the script and start your load. It will output a CSV file with the current
date and all the measurements.To plot stuff, useassault plot <csv file>. You can delete the first few values if the
load hasn't ramped up, or if you want to get rid of starting noise. This will produce
a graph, that's about it.
Package: ass-autoclip
AutoClipAutomagicallyclip out objects obstructing your sign.InstallLuaInstall AutoClip from DependencyControl.If you prefer to manually install AutoClip, AutoClip's direct dependencies areILL.ILL,aka.config,aka.outcome,aka.unsemantic, andpetzku.util.PythonInstallPythonandVapourSynth.There will be a setup wizard when you run AutoClip from Aegisub for the first time. Follow the setup wizard to install necessary pip and vsrepo packages.UsageTime your sign to the whole cut.Seek the video to a reference frame where, ideally, the sign is unobscured from the foreground object.Create a rect clip that covers your sign at the reference frame. This clip defines the area where AutoClip should be active. Anything outside this clip will not be clipped.Select all the lines that make up the sign. This can include already fbfed or layered lines. AutoClip recognises lines not based on their order, but their start and end time.With the video seek head at the reference frame and all lines selected, run „Automation > AutoClip > AutoClip“ and a new AutoClip window shall open.In the new window, adjust the sliders until you get a satisfactory clip. AutoClip tests the absolute difference of a pixel at current frame against reference frame, and clips away the pixel if it has difference above the specified thresholds.Click „Apply“ to apply the clip to subtitle.LicenseAutoClip is released by Zahuczky and Akatsumekusa underBSD 3-Clause License.AutoClip uses Noto Sans Display Medium in the UI. Noto Sans Display is released by Google underSIL OFL 1.1 License.Known bugsAutoClip UI shows nested clips but nested clips don't work.TODOHandle moving signs/tracking data for thoseMore sliders (probably bunch of other VS filters to fine-tune the clip area)Simplifying the clips to curves and such.Currently only the longest contour gets taken into account. Maybe combine them? Maybe a slider for this?Add clips to existing clips on the line.
Package: as-search
as-searchSearch info in Autonomous System databaseExample$ as-search ip 8.8.8.8
8.8.8.8 8.8.8.0 8.8.8.255 US GOOGLEas-search ip 8.8.8.8 -j
{"target": "8.8.8.8", "asn": 15169, "organization": "GOOGLE", "country": "US", "start_ip": "8.8.8.0", "end_ip": "8.8.8.255"}Installationpip install as-search
Package: as-seg
as_seg: module for computing and segmenting autosimilarity matrices.Hello, and welcome on this repository!This project aims at computing autosimilarity matrices, and segmenting them, which consists of the task of structural segmentation.The current version contains the CBM algorithm [1], along with a (low-effort) implementation of Foote's novelty algorithm [2].It can be installed using pip aspip install as-seg.This is a first release, and may contain bug. Comments are welcomed!Tutorial notebookA tutorial notebook presenting the most important components of this toolbox is available in the folder "Notebooks".Experimental notebookExperimental notebooks are available in the folder "Notebooks". They present the code used to compute the main experiments of the paper, in order to improve the reproducibility. Please tell me if any problem would appear when trying to launch them.DataSome data is available with the code, in the folder "data". This includes the bar estimates, obtained with the madmom toolbox [3], the Barwise TF matrices, which are the barwise pre-processed versions of the spectrograms we use to estimate boundaries, and the estimated boundaries obtained with the CBM algorithm in the different conditions.Software versionThis code was developed with Python 3.8.5, and some external libraries detailed in dependencies.txt. They should be installed automatically if this project is downloaded using pip.How to citeYou should cite the packageas_seg, available on HAL (https://hal.archives-ouvertes.fr/hal-03797507).Here are two styles of citations:As a bibtex format, this should be cited as: @softwareversion{marmoret2022as_seg, title={as_seg: module for computing and segmenting autosimilarity matrices}, author={Marmoret, Axel and Cohen, J{'e}r{'e}my and Bimbot, Fr{'e}d{'e}ric}, URL={https://gitlab.inria.fr/amarmore/autosimilarity_segmentation}, LICENSE = {BSD 3-Clause ''New'' or ''Revised'' License}, year={2022}}In the IEEE style, this should be cited as: A. Marmoret, J.E. Cohen, and F. Bimbot, "as_seg: module for computing and segmenting autosimilarity matrices," 2022, url:https://gitlab.inria.fr/amarmore/autosimilarity_segmentation.CreditsCode was created by Axel Marmoret (axel.marmoret@gmail.com), and strongly supported by Jeremy E. Cohen (jeremy.cohen@cnrs.fr).The technique in itself was also developed by FrÃ©dÃ©ric Bimbot (bimbot@irisa.fr).References[1] A. Marmoret, J.E. Cohen, and F. Bimbot, "Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis", 2023, to be published at WASPAA 2023.[2] J. Foote, "Automatic audio segmentation using a measure of audio novelty," in: 2000 IEEE Int. Conf. Multimedia and Expo. ICME2000. Proc. Latest Advances in the Fast Changing World of Multimedia, vol. 1, IEEE, 2000, pp. 452â€“455.[3] BÃ¶ck, S., Korzeniowski, F., SchlÃ¼ter, J., Krebs, F., & Widmer, G. (2016, October). Madmom: A new python audio and music signal processing library. In Proceedings of the 24th ACM international conference on Multimedia (pp. 1174-1178).
Package: assembl
[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/ImaginationForPeople/assembl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=body_badge)PresentationAssembl is an Open Source application that enables hundreds or even thousands of people to work together effectively on the definition of new ideas. The application supports the belief that with the proper conditions, people working together can think smarter than any one member of the group could alone. Traditional collective intelligence software tends to refine ideas from one person. Assembl is different. It focuses on co-building new ideas.Assembl is made with the following technologies :HTML5, [MarionetteJS](http://marionettejs.com/)[Nginx](http://nginx.org/)[The Pyramid Framework](http://www.pylonsproject.org/)[SQLAlchemy](http://www.sqlalchemy.org/)[Postgres](http://postgresql.org)Assembl is developed by [Imagination For People](http://imaginationforpeople.org) and [bluenove](http://bluenove.com)InstallationInstallation is described in [INSTALL](https://github.com/assembl/assembl/blob/develop/doc/INSTALL.rst)DocumentationYou can [browse technical documentation here](http://dev-assembl.bluenove.com/static/techdocs/), or have a look at the [doc/](https://github.com/assembl/assembl/blob/develop/doc/) folder of this repository.IMPORTANTAssembl was using the Virtuoso database, but has transitioned back to Postgresql.
Semantic abilities will be brought back in the near future.
In the meantime, if you have an existing installation of Assembl using Virtuoso, we recommend you switch to Postgresql as described [here](https://github.com/assembl/assembl/blob/develop/doc/convert_virtuoso_to_postgresql.rst).0.0Initial version
Package: assembla
from assembla import API

assembla = API(
    key='8a71541e5fb2e4741120',
    secret='a260dc4448c81c907fc7c85ad09d31306c425417',
    # Auth details from https://www.assembla.com/user/edit/manage_clients
)

my_space = assembla.spaces(name='My Space')[0]

for ticket in my_space.tickets():
    print '#{0} - {1}'.format(ticket['number'], ticket['summary'])

# >>> #1 - My first ticket
# >>> #2 - My second ticket
# ...Full documentation athttp://github.com/markfinger/assembla
Package: assembla-cli
Assembla CLI is an unofficial command-line interface to Assembla. It provides commands to easily open and apply merge requests, as well as commands to open different Assembla views in your project.InstallationInstall usingpip(both Python 2 and 3 are supported):pip install assembla-cliUsageRun using:assembla COMMAND [ARGS...]The following commands are available:apply MERGE_URLRebases a merge request on top of the target branch and then fast-forward merges it onto the target branch. The merge request is then closed. The merged commits are not pushed to Assembla, so you are able to usegit rebaseto interactively edit, squash, or remove commits.apply BRANCH_NAMERebases a branch on top of the current branch and then fast-forward merges it onto the current branch. The merged commits are not pushed to Assembla, so you are able to usegit rebaseto interactively edit, squash, or remove commits.reviewOpens your web browser to the Merge Requests page in your Assembla space so you can review open merge requests.merge-requestOpens your web browser to the New Merge Request page for your Assembla space, prefilled with the current branch as the source branch and your main branch (developormaster) as the target branch.ticketsOpens your web browser to the Tickets page in your Assembla space.new-ticketOpens your web browser to the New Ticket page in your Assembla space.LicensingAssembla CLI is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.
Package: assemblyai-haystack
AssemblyAI Audio Transcript LoaderThe AssemblyAI Audio Transcript Loader allows you to transcribe audio files with the AssemblyAI API and load the transcribed text into Haystack documents.To use this package, you should have the environment variable ASSEMBLYAI_API_KEY set with your API key. Alternatively, the API key can also be passed as an argument while adding a component (see usage code example below).More info about AssemblyAI:WebsiteGet a Free API keyAssemblyAI API DocsInstallationFirst, install the assemblyai-haystack python package.pipinstallassemblyai-haystackThis package installs and uses the AssemblyAI Python SDK. You can find more info about the SDK at theassemblyai-python-sdk GitHub repo.UsageTheAssemblyAITranscriberneeds to be initialized with the AssemblyAI API key.
Therunfunction needs at least the file_path argument. Audio files can be specified as an URL or a local file path.
You can also specify whether you want summarization and speaker diarization results in therunfunction.importosfromassemblyai_haystack.transcriberimportAssemblyAITranscriberfromhaystack.document_stores.in_memoryimportInMemoryDocumentStorefromhaystackimportPipelinefromhaystack.components.writersimportDocumentWriterASSEMBLYAI_API_KEY=os.environ.get("ASSEMBLYAI_API_KEY")## Use AssemblyAITranscriber in a pipelinedocument_store=InMemoryDocumentStore()file_url="https://github.com/AssemblyAI-Examples/audio-examples/raw/main/20230607_me_canadian_wildfires.mp3"indexing=Pipeline()indexing.add_component("transcriber",AssemblyAITranscriber(api_key=ASSEMBLYAI_API_KEY))indexing.add_component("writer",DocumentWriter(document_store))indexing.connect("transcriber.transcription","writer.documents")indexing.run({"transcriber":{"file_path":file_url,"summarization":None,"speaker_labels":None,}})print("Indexed Document Count:",document_store.count_documents())Note: Callingindexing.run()blocks until the transcription is finished.The results of the transcription, summarization and speaker diarization are returned in separate document lists:transcriptionsummarizationspeaker_labelsThe metadata of the transcription document contains the transcription ID and url of the uploaded audio file.{"transcript_id":"73089e32-...-4ae9-97a4-eca7fe20a8b1","audio_url":"https://storage.googleapis.com/aai-docs-samples/nbc.mp3"}
Package: assembly-ai-plus
assembly-ai-plusSimple Library for transcribing and understanding audio and video
files using AssemblyAI.Read more about AssemblyAI 👉DocsInstallpipinstallassembly-ai-plusHow it workssequenceDiagram
  participant User
  User-&gt;&gt;submit_audio_for_transcription: Audio URL or Local file path and include other intelligence features
  submit_audio_for_transcription--&gt;&gt;User: transcription_id
  User-&gt;&gt;get_transcription_results: transcription_id, all_details=True/False
  get_transcription_results--&gt;&gt;User: Full Transcription ResultsHow to useThis Library provides aAssemblyAIclass using which you can submit audio files for transcribing and
understanding.fromassembly_ai_plus.assemblyaiimportAssemblyAIFirst create the assembly_ai instance by providing the AssemblyAI API
KEY, which you can get it for free fromhereassembly_ai=AssemblyAI(api_key='YOURKEY')Submit the audio url for transcriptionres=assembly_ai.submit_audio_for_transcription(audio_url="https://bit.ly/3yxKEIY")res.get('id')# This id is used to extract the actual text from the audio files.'rsh0hzmusy-024f-472e-937b-e86223eaf7c9'Sumbit Local Audio file for transcriptionres=assembly_ai.submit_audio_for_transcription(local_audio_file_path='your_file_path')res.get('id')'rsh0n4g7nv-f022-409b-b97b-9a138261a0d7'Getting the Transcription Resultfull_details=assembly_ai.get_transcription_results('rs3c8julbq-177d-4071-ab6f-d7c7a9bb6dbb')print(full_details['text'])You know, demons on TV like that. And and for people to expose themselves to being rejected on TV or, you know, humili humiliated by Fear Factor or, you know.We can check out other details like sentiment analysis fromfull_details
Package: assemblyline
Assemblyline 4 - Automated malware analysis frameworkAssemblyLine 4 is an open source malware analysis framework. It leverages Kubernetes and Docker to adapt to many use cases; from a small appliance for supporting manual malware analysis and security teams to large-scale enterprise security operations scanning millions of files a day and providing triage capabilities.AssemblyLine can be easily integrated in your environment using it’s powerful rest API and web interfaces. The platform comes with dozens of services to provide deep file analysis and enable integration with other security platforms such as anti-virus, malware-detonation sandboxes and threat knowledge bases. Best of all, with a little bit of Python code you can extend it yourself by creating new analysis and integration services.Repository informationThis is Assemblyline 4 base repository. It provides Assemblyline with common libraries, cachestore, datastore, filestore, ODM and remote datatypes.System requirementsAssemblyline 4 will only work on systems running python3.11 and was only tested on linux systems.Installation requirementsIf used outside of our normal container this library requires outside linux libraries.libffi8 (dev)libfuxxy2 (dev)libmagic1python3.11 (dev)Here is an example on how you would get those libraries on aUbuntu 20.04+system:sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install libffi8 libfuzzy2 libmagic1 build-essential libffi-dev python3.11 python3.11-dev python3-pip libfuzzy-dev
Package: assemblyline-client
Assemblyline Client LibraryThe assemblyline client library facilitates issuing requests to assemblyline.Documentation can be found here:https://cybercentrecanada.github.io/assemblyline4_docs/integration/python/Client d'AssemblylineCette library (client python) help using the Assemblyline restAPI.La documentation se trouve ici:https://cybercentrecanada.github.io/assemblyline4_docs/fr/integration/python/
Package: assemblyline-core
Assemblyline 4 - Core servicesThis repository provides cores services for Assemblyline 4.Core ServicesAlerterCreate alerts for the different submissions in the system.DispatcherRoute the files in the system while a submission is tacking place. Make sure all files during a submission are completed by all required services.ExpiryDelete submissions and their results when their TTL expires.IngesterMove ingested files from the priority queues to the processing queues.MetricsGenerates metrics of the different components in the system.ScalerSpin up and down services in the system depending on the load.UpdaterMake sure the different services get their latest update files.WorkflowRun the different workflows in the system and apply their labels, priority and status.
Package: assemblyline-service-client
Assemblyline 4 - Service ClientThe service client fetches tasks from the service server and drops them into a directory. It will then wait for output file(s) produced by the service. This allows the service to run independently in Python3, Python2, Java, C++, etc. A service will monitor a directory for a file with it's associated task.json, will process it and drop a result.json file which the service_client can in turn pick up to send back to the service_server.
Package: assemblyline-service-utilities
assemblyline-service-utilitiesA library containing common methods and classes that are used across Assemblyline servicesVersionsassemblyline-service-utilities uses a 4 segment versioning scheme W.X.Y.Z where:W is the major version number of Assemblyline. This will be 4 unless a new version of assemblyline is released.X.Y.Z is thesemantic versioningmajor, minor, and patch for assemblyline-service-utilities.
Package: assemblyline-ui
Assemblyline 4 - API and Socket IO serverThis component provides the User Interface as well as the different APIs and socketio endpoints for the Assemblyline 4 framework.ComponentsAPIsAssemblyline 4 provides a large set of API that can provide you with all the same information you will find in it's UI and even more. The list of APIs and their functionality is described in the help section of the UI.All APIs in Assemblyline output their result in the same manner for consistency:{
   "api_response": {},            //Actual response from the API
   "api_error_message": "",       //Error message if it is an error response
   "api_server_version": "4.0.0"  //Assemblyline version and version of the different component
   "api_status_code": 200         //Status code of the response
}NOTE: All response codes return this output layoutSocketIO endpointsAssemblyline 4 also provide a list of SocketIO endpoints to get information about the system live. The endpoints will provide authenticated access to many Redis broadcast queues. It is a way for the system to notify user of changes and health of the system without having them to query for that information.The following queues can be listen on:Alerts createdSubmissions ingestedHealth of the systemState of a given running submission
Package: assembly-stats
assembly_statsA Python library that takes a FASTA file as input and calculates both scaffold and contig statistics (N50, L50, etc.) from a scaffold FASTA file. It does this by breaking each scaffold wherever there is more than one N and then calculating statistics for both the scaffolds and contigs.This is a re-write offasta_metadata_parserto speed up the old implementation, and -- most importantly -- to learn how to install Python scripts onto the Smithsonian HPC.Installationpip install assembly_statsUsage$ assembly_stats -h

    usage: assembly_stats [-h] filename

    Calculate statistics about genome assemblies.

    positional arguments:
      filename    Genome file in FASTA format.

    optional arguments:
      -h, --help  show this help message and exitAfter calculating the statistics for the genome assembly, they will be printed out in JSON format.Next stepsAdd ability to save NumPy sequence length arrays for further visualization, since generating these are what takes the most time.
Package: assentio
ContentsIntroductionContributorsChangelogIntroductionThis is the Assentio project, a minimal lightwight blog based on Flask (http://flask.pocoo.org/).
It starts as pet project with no particular features and it’s not intended to be the new-wordpress-like platform.Useful developer rule: Eat your own food!so I started my personal blog on this code. You can see it in action here:http://antoniosagliocco.comFeel free to contribute if you think it can be suitable to your needs.You can check the early stage roadmap here (ehy man, the project has just started!):https://github.com/kalymero/assentio/wiki/RoadmapBlog layout is very simple, wrote by scratch using the new twitter bootstrap 2.1.0, based on the Twenty Eleven (http://theme.wordpress.com/themes/twentyeleven/) wordpress theme i like.Of course you can change it to your needs, the structure is very simple. There’s only one < 100 rows css file (beside bootstrap.css) and only one <20 rows js file.You can install it in a virtualenv.I used zc.buildout (http://pypi.python.org/pypi/zc.buildout) to fit environment/deployment issues.You can found the buildout package and some install instructions here:http://github.com/kalymero/assentio_buildoutFeel free to contact me for any question.Enjoy!ContributorsAntonio Sagliocco (asagliocco@gmail.com), AuthorChangelog0.1First release with minimal features [Antonio Sagliocco]