Saravanan666/pypi-org huggingface dataset:
Package: threemystic-common
3mystic_commonA set of common files that are used for the various projects under 3 Mystic ApesThis project is currently in beta, along with the other projects. Once the other projects come out of beta this one will as well. However, this is also, the most stable of the project. I am trying not to change things that would break from version to version. So if you would like to use something here, it should be relatively safe. I will try to call out breaking changes.InstallpipThe latest version of this project is currently being pushed tohttps://pypi.org/project/threemystic-common/pip install threemystic-commonIf you would prefer to install directly from GitHub you need to install Hatch.
Please refer to the section below for that.Once hatch is installed you can use pippip installhttps://github.com/3MysticApes/3mystic_commonHatchThis project is packaged using Hatch. If you need to install Hatch please refer to their documentationhttps://hatch.pypa.io/latest/install/ContributeYou need to install Hatch. Please see the previous Hatch section under install.Once you download the project you can do the following
You should be able to run the following command in the root directory for a general status
hatch statusThen from the root directory you can run
pip install ./I would suggest while you are debugging issues to install it with the command below. Once you are done with your development you can uninstall. This allows you to make edits and test easier.
pip install -e ./https://pip.pypa.io/en/stable/cli/pip_install/#cmdoption-e
Package: threephasescim
Three Phase Squirrel Cage Induction Motor DesignWhat does this Python package do?This interactive package has a collection of modules, that performs individual design steps for a Squirrel Cage Induction Motor.
The user has to input the full-load (nameplate) ratings and this package will generate the design sheet, considering the design constraints at hand.PrerequisitesPython 3 (3.6+ preferred). Downloadhere.Should be able to view/read Excel(.xlsx) files.InstallationOpen terminal or command prompt, and runpip install threephasescimorpip3 install threephasescimdepending on your OS.
This will download and install the latest release, along with the required libraries.Before you run itShould have the following full-load ratings. Take care of the units.Power Rating (kW). Eg.: 5Power Factor (lagging). Eg.: 0.85Efficiency (per unit). Eg.: 0.9Speed (rpm). Eg.: 1500Line Voltage (V). Eg.: 110Expected OutputAverage field flux (Wb/m2)Ampere conductor (ac)Expected efficiency (%)Obtained efficiency (%)Temperature rise (°C)Current criterion satisfied? (yes/no)Design sheet containing all the design parameters of the machine to be designed (if a solution is present).Else, it will showDesign sheet failed.... In this case, it is advised to dive into the basics of machine design and tune the ratings accordingly. Then, retry.How to get your design sheet?Running the package as a sciptOpen terminal or command prompt.Naviagte to the directory/path where you want the design sheet to be saved.Typepython -m threephasescimorpython3 -m threephasescimand run, depending on your OS.Enter all the required ratings, as asked.If the design sheet is successfully prepared, then, find it in the current working directory/path.Running as an importOpenipythonoripython3or Python shell.>>> import threephasescim.master as thdWhen running the above line for first time, you will be asked to enter all the required ratings.To show the saved ratings,>>> thd.show_rating()To enter a new set of ratings,>>> thd.set_rating()To get your design sheet,>>> thd.design_your_machine()If the design sheet is successfully prepared, then, find it in the current working directory/path.What to do now?For more detailed analysis or insights, clickhere.If facing any design issues, open an issue.For any suggestions, open an issue.ReferenceA Course in Electrical Machine DesignA.K.Sawhney, A.ChakrabartiDhanpat Rai & Co. 2006AcknowledgementSincere thanks to Prof. Susanta Ray, Electrical Engineering Department, Jadavpur University for allowing the design of induction machines programmatically.
Package: threepid-checker
3PID checker for SynapseA module that checks whether a 3PID (email address, phone number) can be allowed to be
registered on the local homeserver by querying a remote backend.InstallationFrom the virtual environment that you use for Synapse, install this module with:pipinstallpath/to/synapse-3pid-checker(If you run into issues, you may need to upgradepipfirst, e.g. by runningpip install --upgrade pip)Then alter your homeserver configuration, adding to yourmodulesconfiguration:modules:-module:threepid_checker.ThreepidCheckerconfig:# The URL to send requests to when checking if a 3PID can be associated to an account.# See below for more information.# Required.url:https://foo/bar# If true, the module will only send requests to the URL as part of registering a# new user. This means no request will be sent to the URL when associating a 3PID with# an already existing account.# Optional, defaults to false.only_check_at_registration:falseThe configured URL will be hit by aGETHTTP request. Note that this isnotsubject to Synapse's IP blacklist, with 2 parameters to qualify the 3PID:medium: The 3PID's medium (emailfor an email address,msisdnfor a phone number)address: The 3PID's addressThe server at that URL is expected to respond with a JSON object that contains the following keys:hs(string): Required. The name of the homeserver the 3PID is allowed to be associated
on. This is theserver_namevariable in Synapse's configuration file.
The 3PID will be denied if this is absent from the response's body.requires_invite(bool): Optional. Whether an invite is required for this 3PID to be associated
with an account on this homeserver. What qualifies as an invite is left to the
server serving the configured URL to define. Defaults tofalse.invited(bool): Optional. Whether there is a pending invite for the 3PID. Defaults tofalse.The module will deny the 3PID's association based on the response if:hsdoes not match the homeserver's configured server name, or is missing, orrequires_inviteistrueandinvitedisfalseor missingThe 3PID will be allowed to be associated with a local user otherwise.DevelopmentIn a virtual environment with pip ≥ 21.1, runpipinstall-e.[dev]To run the unit tests, you can either use:tox-epyortrialtestsTo run the linters andmypytype checker, use./scripts-dev/lint.sh.ReleasingThe exact steps for releasing will vary; but this is an approach taken by the
Synapse developers (assuming a Unix-like shell):Set a shell variable to the version you are releasing (this just makes
subsequent steps easier):version=X.Y.ZUpdatesetup.cfgso that theversionis correct.Stage the changed files and commit.gitadd-u
gitcommit-mv$version-nPush your changes.gitpushWhen ready, create a signed tag for the release:gittag-sv$versionBase the tag message on the changelog.Push the tag.gitpushorigintagv$versionCreate a source distribution and upload it to PyPI:python-mbuild
twineuploaddist/threepid_checker-$version*
Package: threepio
threepio 0.2Minimally improved noise for python. Pragmatic, minimal improved logging for python.To install use pip install git+git://github.com/jmatt/threepio----threepio========Minimally improved noise for python.Pragmatic, minimal logging for python.# Install```bashpip install -e git://github.com/jmatt/threepio#egg=threepio```# UseJust initialize and go.```pythonIn [1]: import loggingIn [2]: import threepioIn [3]: threepio.initialize(log_filename="./c3po.beep.log",logger_name="super serial project",app_logging_level=logging.DEBUG,dep_logging_level=logging.WARN)Out[3]: <logging.Logger at 0x106bc4ed0>In [4]: from threepio import logger as c3poIn [5]: c3po.info("Artoo says that the chances of survival are 725 to 1.")In [6]: c3po.debug("Actually Artoo has been known to make mistakes...")In [7]: c3po.warn("from time to time... Oh dear...")## In c3po.beep.log# 2013-05-01 22:29:47,548 super serial project-INFO [<ipython-input-5-b81c1c01169e> 1] Artoo says that the chances of survival are 725 to 1.# 2013-05-01 22:30:01,372 super serial project-DEBUG [<ipython-input-6-089fe0b5bf92> 1] Actually Artoo has been known to make mistakes...# 2013-05-01 22:30:11,602 super serial project-WARN [<ipython-input-7-092eb0b3ce76> 1] From time to time... Oh dear...```Or create a custom logger and leave the global logger alone.```pythonIn [1]: import loggingIn [2]: import threepioIn [3]: woot_logger = threepio.initialize(logger_name="woot",app_logging_level=logging.DEBUG,dep_logging_level=logging.DEBUG,global_logger=False)In [4]: woot_logger.debug("RWRAharhrhr!")## In the default logging file (threepio.log)# 2013-05-01 22:14:06,215 woot-DEBUG [<ipython-input-6-3066a630384a> 1] RWRAharhrhr!```***[Luke, Leia and Han start laughing hysterically; it sounds like screaming]*****C-3PO**: Listen to them, they're dying R2! Curse my metal body, I wasn't fast enough, it's all my fault! My poor Master.**Luke**: 3PO, we're all right! We're all right! Ha ha! Hey, open the pressure maintenance hatch on unit number... where are we? 3263827!----For more information, please see: https://github.com/jmatt/threepio
Package: three-play
3Play API HelperA Python wrapper library for the 3Play API v3Free software: MIT licenseDocumentation:https://three-play.readthedocs.io.Usagefromthree_play.v3import*fromthree_play.v3.modelsimport*# Assuming you haven't set this via the environment variableThreePlayApi.configure('MY-API-KEY')r=ThreePlayApi.list_media_files(name_partial='Testing')file_data=r.get('data',[])files=[MediaFile(**file)forfileinfile_data]print(len(files),files)transcripts=ThreePlayHelper.get_transcripts('my-video-id')print(len(transcripts),transcripts)InstallingThe 3Play helper library is available on PyPI:$python-mpipinstallthree-playSupported VersionsThethree-playhelper library officially supportsPython 3.7or higher.AboutI recommend reading the documentation in the source code
for important HOW-TO’s and info on what each helper function is doing.I’ll need to write some kind of documentation eventually, but that’s still pending for now.At a minimum I recommend setting these 2 environment variables:3PLAY_API_KEY- API Key to use for requests to 3Play APIINTEGRATION_ID- Service Integration ID on 3Play - for example, an integration /w YouTubeFeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.1 (2021-06-11)Update docs0.1.0 (2021-06-11)First release on PyPI.
Package: three-py
three-pyA Python render engine like threejs(via wgpu).IntroductionThis is a Python render engine build on top of WGPU.Current statusUnder development, many things can change.Installationpip install three-pyRequirementswgpu-pyUsageThis code creates a scene, a camera, and a geometric cube, and animates the cube within the scene for the camera.Also see theexamples.importthreefromwgpu.gui.autoimportWgpuCanvas,runcanvas=WgpuCanvas(size=(640,480),title="wgpu_renderer")render=three.WgpuRenderer(canvas,parameters={'antialias':True})render.init()camera=three.PerspectiveCamera(70,640/480,0.01,100)camera.position.z=1scene=three.Scene()geometry=three.BoxGeometry(0.2,0.2,0.2)material=three.MeshNormalMaterial()mesh=three.Mesh(geometry,material)scene.add(mesh)defloop():mesh.rotation.x+=0.01mesh.rotation.y+=0.02render.render(scene,camera)render.setAnimationLoop(loop)run()
Package: threesplit
|PyPI version| |threesplit| |Total alerts| |Language grade: Python|
|deepcode|threesplitThree-way data split into training set, validation set, and test set.InstallationThethreesplitgit repo <http://github.com/kmedian/threesplit>__
is available asPyPi package <https://pypi.org/project/threesplit>__::pip install threesplitUsageCheck theexamples <examples>__ folder for notebooks.CommandsCheck syntax:flake8 --ignore=F401Remove.pycfiles:find . -type f -name "*.pyc" | xargs rmRemove__pycache__folders:find . -type d -name "__pycache__" | xargs rm -rfPublish.. code:: shpandoc README.md --from markdown --to rst -s -o README.rst
python setup.py sdist
twine upload -r pypi dist/*SupportPleaseopen an issue <https://github.com/kmedian/threesplit/issues/new>__ for support.ContributingPlease contribute usingGithub Flow <https://guides.github.com/introduction/flow/>. Create a branch,
add commits, andopen a pull request <https://github.com/kmedian/threesplit/compare/>... |PyPI version| image::https://badge.fury.io/py/threesplit.svg:target:https://badge.fury.io/py/threesplit.. |threesplit| image::https://snyk.io/advisor/python/threesplit/badge.svg:target:https://snyk.io/advisor/python/threesplit.. |Total alerts| image::https://img.shields.io/lgtm/alerts/g/kmedian/threesplit.svg?logo=lgtm&logoWidth=18:target:https://lgtm.com/projects/g/kmedian/threesplit/alerts/.. |Language grade: Python| image::https://img.shields.io/lgtm/grade/python/g/kmedian/threesplit.svg?logo=lgtm&logoWidth=18:target:https://lgtm.com/projects/g/kmedian/threesplit/context:python.. |deepcode| image::https://www.deepcode.ai/api/gh/badge?key=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJwbGF0Zm9ybTEiOiJnaCIsIm93bmVyMSI6ImttZWRpYW4iLCJyZXBvMSI6InRocmVlc3BsaXQiLCJpbmNsdWRlTGludCI6ZmFsc2UsImF1dGhvcklkIjoyOTQ1MiwiaWF0IjoxNjE5NTQwNjI4fQ.YC9h-9S3cQqgPOlYq3WYA8SegkLEL4sFHN-DQAVQBY0:target:https://www.deepcode.ai/app/gh/kmedian/threesplit/_/dashboard?utm_content=gh%2Fkmedian%2Fthreesplit
Package: threetaps
A Python interface for the 3taps API.The goal of this library is to map 3taps’ endpoints one-to-one. Calls to 3taps are made with clean, Pythonic methods. It only handles raw data, allowing you to define your own models.Dependencies:requestsInstallationInstall via pip:$pipinstallthreetapsInstall from source:$gitclonehttps://github.com/mkolodny/3taps.git$cd3taps$pythonsetup.pyinstallUsageInstantiating a client:>>>client=threetaps.Threetaps('YOUR_API_KEY')ExamplesReferenceSources:>>>client.reference.sources()Category Groups:>>>client.reference.category_groups()Categories:>>>client.reference.categories()Locations:>>>client.reference.locations('locality',params={'city':'USA-NYM-NEY'})Locations Lookup:>>>client.reference.location_lookup('CAN-YUL')SearchSearch:>>>client.search.search(params={'location.city':'USA-NYM-NEY'})Count:>>>client.search.count('category',params={'status':'for_sale'})PollingAnchor:>>>utc_dt=datetime.today()>>>client.polling.anchor(utc_dt)Poll:>>>client.polling.poll(params={'anchor':'306785687'})
Package: threetotheonehalfpy
ThreeToTheOneHalfPyA Python package for rapid and secure calculation of three to the one half in an industrial environment
(for a local environment, use PySqrtRootOf3Taker)
(i had to actually learn how to use setuptools and everything send help)InstallationInstall threetotheonehalfpy with pip:pip install threetotheonehalfpyUseCalculate three to the one half:importthreetotheonehalfpyprint(threetotheonehalfpy.calculate_threetotheonehalf())
Package: threevis
threevisA Python library for visualizing meshes, point clouds, and other geometry in Jupyter notebooksInstallationpip install threevisExamplesQuick Mesh Inspectionimportthreevisimportopenmeshasomm=om.read_trimesh('examples/models/bunny.obj')threevis.display_openmesh(m)Custom Renderingimportthreevisimportopenmeshasomimportnumpyasnp# Load Meshm=om.read_trimesh('mouse.obj')# Create Contextctx=threevis.Context(width=640,height=480)# Get vertices and faces from the meshvertices=m.points()faces=m.face_vertex_indices()# We don't have normals, calculate themnormals=threevis.calculateFaceNormals(m.points(),m.face_vertex_indices())# Choose a random color for each facecolors=threevis.FaceAttribute(np.random.rand(len(faces),3))# Draw the mesh with flat shadingctx.draw_faces(vertices,faces,normals=normals,colors=colors,shading='flat')# Draw edges on top with random colorsctx.draw_edges(vertices,m.ev_indices(),colors=threevis.FaceAttribute(np.random.rand(len(m.ev_indices()),3)),linewidth=3)# Calculate data to display normals as edgesnormal_vis_verts,normal_vis_edges=threevis.calculateNormalEdges(vertices,faces,normals,length=0.05)# Draw the normals inctx.draw_edges(normal_vis_verts,normal_vis_edges,colors=colors)# Draw a point for each vertexctx.draw_vertices(vertices,point_size=4,colors='red')# Finally display itctx.display()Development SetupInstall dependenciesClone the repositorypip install -e .Dependenciespythreejs>= 1.0.0Optionalopenmesh-pythonlatest
Package: threp
![build](https://github.com/wasupandceacar/threp/actions/workflows/build.yml/badge.svg)![pypi](https://github.com/wasupandceacar/threp/actions/workflows/pypi.yml/badge.svg)![CodeFactor](https://www.codefactor.io/repository/github/wasupandceacar/threp/badge)一、介绍threp 用于解析东方 project 系列游戏的 replay 文件，即游戏回放文件，可以获取 replay 文件的通关情况、机师、难度、通关情况、机体、处理落、日期、屏幕移动、按键记录。
支持 TH06-18 整数作以及 TH9.5、12.5、TH12.8、TH14.3、TH16.5（即现有所有非黑历史的东方 STG 全部支持）。二、安装方法在 Python3.6+下使用，用 pip 安装：pip install threp三、使用方法from threp import THReplay# 载入一个 replay 文件，参数为路径
tr = THReplay(‘th14_03.rpy’)# 获取 replay 基本信息，包含机体，难度，通关情况，字符串
# etc. Reimu A normal all
print(tr.getBaseInfo())# 获取 replay 基本信息的字典，包含机体，难度，通关情况，字符串
# 字典的键分别为 character、shottype、rank、stage
# etc. Reimu A Normal All
print(tr.getBaseInfoDic())# 获取 replay 每个 stage 的分数，list，包含一串整数
# etc. [13434600, 50759200, 103025260, 152519820, 230440680, 326777480]
print(tr.getStageScore())# 获取 replay 的屏幕移动，list，包含一些字符串
# etc.
# 其中一个字符串：[0     ]→→→→→→→→→→→→→→→→↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↖↖↖↖↖↖↖↖↖↑↑○○○○○○○○○○○○○○○○○○
# 开头括号里的数字表示这是在该 stage 的第几帧，箭头表示方向，圆圈表示不动
print(tr.getScreenAction())# 获取 replay 的按键记录，list，包含一些子 list，每个子 list 包含 60 个字符串，代表一秒
# etc.
# 其中一个子 list：[’→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘→’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑←’, ‘↑’, ‘↑’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’, ‘○’]
# 每个字符串记录了这帧按下的方向键，箭头表示方向，圆圈表示没按
print(tr.getKeyboardAction())# 获取 replay 的机签，字符串
# etc. WASUP
print(tr.getPlayer())# 获取 replay 的处理落，浮点数
# etc. 0.03
print(tr.getSlowRate())# 获取 replay 的时间，字符串
# etc. 2015/02/17 22:23
print(tr.getDate())# 获取解析错误信息，list，包含一些字典
# 共有三种错误
# 1.length so short error，单面长度过短错误
# 2.frame read error，单面帧数读取错误
# 3.length read error，单面长度读取错误
print(tr.getError())# 获取 replay 的总帧数，整数
# etc. 84565
print(tr.getFrameCount())# 获取 replay 中按下 Z 键的帧数的 list，帧数从 1 开始数
# etc. [63, 98, 136]
print(tr.getZ())# 获取 replay 中按下 X 键的帧数的 list，帧数从 1 开始数
# etc. [193, 480, 766]
print(tr.getX())# 获取 replay 中按下 C 键的帧数的 list，帧数从 1 开始数，这个按键从TH128开始记录，TH125及以前无记录
# etc. [1046, 1260]
print(tr.getC())# 获取 replay 中按下 Shift 键的帧数的 list，帧数从 1 开始数
# etc. [1495, 1532, 1568]
print(tr.getShift())
Package: thresecdsa
ggmpcThis is an implementation of MPC threshold signatures for both ECDSA and EdDSA.
The ECDSA implementation is based onFast Multiparty Threshold ECDSA with Fast
Trustless Setup. The EdDSA implementation is based onProvably Secure Distributed Schnorr Signatures and a (t,n)
Threshold Scheme for Implicit Certificates.InstallationPIP$pip3installggmpcBuilding from source$sudoapt-getinstallgit
$gitclonehttps://github.com/johnoliverdriscoll/py-ggmpc
$cdpy-ggmpc
$pip3install.
$python3-munittest-vUsagePython packageRead the automatically generateddocumentationandunit tests.Command lineThis project includes a command line utility that can perform all features.
Examples of complete end-to-end key generation and signing flows using the
command line utility can be found in theTESTINGdocument.
Package: thresholdclustering
threshold-clusteringThreshold Spectral Community Detection for NetworkXNetworkX Community detection based on the algorithm proposed in Guzzi et. al. 2013 (*).Developed for semantic similarity networks, this algorithm specifically targets weighted and directed graphs.
This implementation adds a couple of options to the algorithm proposed in the paper, such as passing an arbitrary community detection function (e.g. python-louvain).Similarity networks are typically dense, weighted and difficult to cluster. Experience shows that algorithms such as python-louvain
have difficulty finding outliers and smaller partitions.Given a networkX.DiGraph object, threshold-clustering will try to remove insignificant ties according to a local threshold.
This threshold is refined until the network breaks into distinct components in a sparse, undirected network.As a next step, either these components are taken communities directly, or, alternatively, another community detection (e.g. python-louvain)
can be applied.ExampleConsider the cosine similarities in the Karate Club Network. Although these similarities are not directed, they are rather dense.importnetworkxasnximportnumpyasnpimportmatplotlib.cmascmimportmatplotlib.pyplotaspltfromsklearn.metrics.pairwiseimportcosine_similarity# load graphG=nx.karate_club_graph()# Generate a similarity style weighted graphAdj=nx.to_numpy_matrix(G)cos_Adj=cosine_similarity(Adj.T)G=nx.from_numpy_matrix(cos_Adj)pos=nx.spring_layout(G)weights=np.array([G[u][v]['weight']foru,vinG.edges()])*5nx.draw_networkx_nodes(G,pos,node_size=40)nx.draw_networkx_edges(G,pos,alpha=0.2,width=weights)plt.show()Let's use python-louvain to find the best partition.partition=community_louvain.best_partition(G.to_undirected())cmap=cm.get_cmap('viridis',max(partition.values())+1)nx.draw_networkx_nodes(G,pos,partition.keys(),node_size=40,cmap=cmap,node_color=list(partition.values()))nx.draw_networkx_edges(G,pos,alpha=0.2,width=weights)plt.show()We get three rather large partition and no sense of outliers.Instead, we can use threshold-clustering's best_partition function to run python_louvain's community detection on a
transformed network.fromthresholdclusteringimportbest_partitioncluster_function=community_louvain.best_partitionpartition,alpha=best_partition(G,cluster_function=cluster_function)cmap=cm.get_cmap('viridis',max(partition.values())+1)nx.draw_networkx_nodes(G,pos,partition.keys(),node_size=40,cmap=cmap,node_color=list(partition.values()))nx.draw_networkx_edges(G,pos,alpha=0.2,width=weights)plt.show()We can see that more communities of similarity can be identified. Note in particular outliers drawn in yellow.Installation(*) Guzzi, Pietro Hiram, Pierangelo Veltri, and Mario Cannataro. "Thresholding of semantic similarity networks using a spectral graph-based technique."  International Workshop on New Frontiers in Mining Complex Patterns. Springer, Cham, 2013.History1.0First release. Since this is a small, yet nifty add-on to python-louvain, it is a quick write.
Please let me know if anything more should be added!
Package: threshold-elgamal
Threshold ElGamal cryptosystemThis is a library that provides methods for threshold encryption, decryption and DKG (distributed key generation) algorithm using the ElGamal cryptosystem. Threshold ElGamal encryption and decryption algorithms were based on Cachin'swork, and the algorithm used for distributed key pair generation was based on a 1999paperby Gennaro et al. Both algorithms use a form of secret sharing first introduced in a 1979paperby Shamir.This goes without saying, butyou should NOT use this library in a production setting. It has not been pentested nor was any kind of exhaustive security analysis done. This library is developed primarily for demonstration of theoretic threshold schemes.InstallationBefore installing the library, make sure its dependencies are installed:pycryptodome,gmpy2andsetuptools. The library is written for Python >= 3.9.You can then install the library viapip:pip install threshold-elgamalGetting startedThe simplest way you can test out this library is by running its main function:fromthreshold_elgamalimportrun_tc_schemeres=run_tc_scheme(k=3,n=5,m=10)ifresisTrue:print("Success!")You can also create your own threshold scheme manually, and then encrypt and decrypt a message of your choosing:fromthreshold_elgamalimportcreate_tc_schememessage=10public_key,players,scheme=create_tc_scheme(k=3,n=5)c1,c2=scheme.encrypt(public_key,message=message)decryption_shares={player.id:player.get_decryption_share(c1)forplayerinplayers}decrypted_msg=scheme.decrypt(c2,decryption_shares)ifdecrypted_msg==message:print("Success!")