Saravanan666/pypi-org huggingface dataset:
Package: signal-temporal-logic
Signal Temporal Logic MonitoringThis package provides an interface to define offline monitoring for Signal Temporal
Logic (STL) specifications. The library is written in C++ (and can be used withCMake)
and has been wrapped for Python usage usingpybind11.The library is inspired by the following projects:py-metric-temporal-logicis a tool written in pure Python, and provides an elegant
interface for evaluating discrete time signals using Metric Temporal Logic (MTL).BreachandS-TaLiRoareMatlabtoolboxes designed for falsification and
simulation-based testing of cyber-physical systems with STL and MTL specifications,
respectively. One of their various features includes the ability to evaluate the
robustness of signals against STL/MTL.Thesignal-temporal-logiclibrary aims to be different from the above in the following
ways:Written for speed and targets Python.Whilepy-metric-temporal-logicis written in Python, it doesn't perform
computations efficiently and quickly.Support for multiple quantitative semantics.All the above tools have their own way of computing the quantitative semantics for
STL/MTL specifications.This tool will try to support common ways of computing the robustness, but will
also have support for other quantitative semantics of STL.List of Quantitative SemanticsClassic RobustnessA. Donzé and O. Maler, "Robust Satisfaction of Temporal Logic over Real-Valued
Signals," in Formal Modeling and Analysis of Timed Systems, Berlin, Heidelberg,
2010, pp. 92–106.Temporal Logic as FilteringA. Rodionova, E. Bartocci, D. Nickovic, and R. Grosu, "Temporal Logic As
Filtering," in Proceedings of the 19th International Conference on Hybrid Systems:
Computation and Control, New York, NY, USA, 2016, pp. 11–20.Smooth Cumulative SemanticsI. Haghighi, N. Mehdipour, E. Bartocci, and C. Belta, "Control from Signal
Temporal Logic Specifications with Smooth Cumulative Quantitative Semantics,"
arXiv:1904.11611 [cs], Apr. 2019.Installing Python packageUsingpip$python3-mpipinstallsignal-temporal-logicBuild from sourceRequirements:cmake>= 3.5,gitand a C++ compiler that supports C++17.First clone the repository:$gitclonehttps://github.com/anand-bala/signal-temporal-logicThen install usingpip, install the package:$python3-mpipinstall-U.UsageSee theexamples/ directoryfor some usage examples in C++ and Python.
Package: signalvine-sdk
signalvine-sdkUse the SignalVine API with PythonInstallationpip install git+https://github.com/CUBoulder-OIT/signalvine-sdk@main#egg=signalvine-sdkBuilding and DistributionDistribution Creationpython setup.py sdist bdist_wheelTestingTo test, you'll have to configure account numbers, access token, and secretsFrom the OS, set or export SignalVine variables for the tests:set ACCOUNT_NUMBER=1234-123-123-123-1234
set ACCOUNT_TOKEN=12345567
set ACCOUNT_SECRET=1234-123-123-123-1234
set PROGRAM_ID=1234-123-123-123-1234

pip install -e .
python setup.py test

# To test a single
pytest tests\test_sdk.py -k "test_upsert_participants"MiscellaniaAll trademarks, service marks and company names are the property of their respective owners.Reference in this site to any specific commercial product, process, or service, or the use of any trade, firm or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the University of Colorado.
Package: signalwire
SignalWire PythonThe Relay SDK for Python enables developers to connect and use SignalWire's Relay APIs within their own Python code. Our Relay SDK allows developers to build or add robust and innovative communication services to their applications.Getting StartedRead the implementation documentation, guides and API Reference at the officialRelay SDK for Python Documentationsite.ContributingRelay SDK for Python is open source and maintained by the SignalWire team, but we are very grateful foreveryonewho has contributed and assisted so far.If you'd like to contribute, feel free to visit ourSlack channeland read our developer section to get the code running in your local environment.DevelopersTo setup the dev environment follow these steps:Fork this repository and clone it.Create a new branch frommasterfor your change.Make changes!VersioningRelay SDK for Python follows Semantic Versioning 2.0 as defined athttp://semver.org.LicenseRelay SDK for Python is copyright © 2018-2019SignalWire. It is free software, and may be redistributed under the terms specified in theMIT-LICENSEfile.
Package: signalworks
signalworksLibrary to handle signal data and perform signal processing computationsFree software: MIT licenseDocumentation:https://signalworks.readthedocs.io.Installationpip install signalworksFeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2018-07-27)First release on PyPI.
Package: signapadpy
Signature Padis a nice tool
that allows users to provide a drawn signature. Because of the flakiness of
some browsers, it’s probably recommend to generate an actual image of the
signature on the server. And that’s what signapadpy does with a little help
ofPillow(or PIL).First install it:pip install signapadpyNext, import what you need (padding is optional):from signapadpy import create_image, PaddingThen load the lines of the signature you want to convert into an image:lines = load_signature_pad_output(from_something)And create the image:image = create_image(lines)The image is an instance of PIL’s (or Pillow’s)Image, so you can choose to display it:image.show()Or save it:image.save('signature.png')If you’d like to render the image with Django, you could do it like this:from django.http import HttpResponse
from django.shortcuts import get_object_or_404

from signapadpy import create_image


def view_signature(request, pk):
    # Django view, assuming a Sigature model with a lines attribute
    signature = get_object_or_404(Signature, pk=pk)
    return signature_to_response(signature.lines)

def signature_to_response(lines):
    image = create_image(lines)
    response = HttpResponse(mimetype='image/png')
    image.save(response, 'PNG')
    return response
Package: signapp
signappCorss-Platform script used to sign APK filesNOTEthat you should use this tool for debugging / educational purposes only!NOTEthat you must accept the LICENSE of the tools listed in therequirementssectionInstallationSimply run:pip install signapp --upgrade && signapp_fetch_toolsMake sure to have python scripts folder in your path,And use the correct version of pip for python3Usagesignapp -a <original_apk> -o <output_apk>Recommended ProjectsI'd like to recommend my other projects here,buildappandapkmodbuildappis used to recompile and resign an apk that was originally decompiled byapktoolapkmodis used to injectfrida js-scriptinto an apkRequirementsThe project uses these tools (can be fetched usingsignapp_fetch_toolsafterpip install signapp):android SDK tools (download build_tools,download platform_tools)adb (default at SDK\platform_tools, only required if-iflag is used)zipalign (default at SDK\build_tools)apksigner (default at SDK\build_tools)
Package: signature-detect
Signature DetectionA simple tool to detect if there aresignaturesinan imageora PDF file.The full documentation is presented at theGithub Repository.Extra DependenciesThis tool usesWandto convert a PDF file into images.Wandis a ctypes-based simpleImageMagickbinding for Python. You may need to installImageMagickon your local machine.More details are availablehere.UsageSignature_detect contains 4 classes.LoaderExtractorCropperJudgerLoaderLoader can read an image or a PDF file page by page.It returns a list of the masks. Each mask is a numpy 2 dimensions array. Its element's value is0or255.fromsignature_detect.loaderimportLoaderloader=Loader(low_threshold=(0,0,250),high_threshold=(255,255,255))masks=loader.get_masks(file_path)ExtractorExtractor reads a mask, labels the regions in the mask, and removes both small and big regions. We consider that the signature is a region of middle size.fromsignature_detect.extractorimportExtractorextractor=Extractor(outlier_weight=3,outlier_bias=100,amplfier=10,min_area_size=10)labeled_mask=extractor.extract(mask)CropperCropper crops the regions in the labeled mask.fromsignature_detect.cropperimportCroppercropper=Cropper(min_region_size=10000,border_ratio=0.1)results=cropper.run(labeled_mask)JudgerJudger decides whether a region is a signature.fromsignature_detect.judgerimportJudgerjudger=Judger(size_ratio=[1,4],pixel_ratio=[0.01,1])is_signed=judger.judge(result["cropped_mask"])Dev versionIf you would like to develop this package and run the tests, you can download the code and install dev environment locally.pipinstall-e.[dev]
Package: signature-invariants-py
signature-invariantsImplements the invariants of the paperDiehl / Reizenstein - Invariants of multidimensional time series based on their iterated-integral signature.InstallationInstall with:pip install signature-invariants-pyor::pip install git+git://github.com/diehlj/signature-invariants-pyCopyright © 2018 Joscha DiehlDistributed under theEclipse Public License.
Package: signatures
SignaturesUtitilties for assessing Python function signature equality and compatibility,
with the latter accounting for subtypes (including Generics!)ExamplesSee thetest suitefor a full set of examples.Equality# Identical function signatures are equal.importsignaturesdeffoo(thing:Any)->None:passdefbar(thing:Any)->None:passassertsignatures.equal(foo,bar)# Different function signatures are not equal.importsignaturesdeffoo(eggs:Any)->None:passdefbar(cheese:Any)->None:passassertnotsignatures.equal(foo,bar)Compatibility# A function signature is compatible with a more# generic function signature.fromtypingimportTypeVarimportsignaturesT=TypeVar("T",bound=int)deffoo(thing:bool)->None:passdefbar(thing:T)->None:passassertsignatures.compatible(foo,bar)# Compatibility checks support nested Generic types.importsignaturesdeffoo(thing:List[Tuple[bool,str]])->None:passdefbar(thing:List[Tuple[int,str]])->None:passassertsignatures.compatible(foo,bar)# A function signature is not compatible when# Generic types are not compatible.importsignaturesdeffoo(thing:List[int])->None:passdefbar(thing:List[Tuple[int,str]])->None:passassertnotsignatures.compatible(foo,bar)LicenseMozilla Public License v2.0
Package: signax
Signax: Computing signatures in JAXGoalTo have a library that supports signature computation in JAX. Seethis paperto see how to adopt signatures in
machine learning.This implementation is inspired bypatrick-kidger/signatory.ExamplesBasic usageimportjaximportjax.randomasjrandomimportsignaxkey=jrandom.PRNGKey(0)depth=3# compute signature for a single pathlength=100dim=20path=jrandom.normal(shape=(length,dim),key=key)output=signax.signature(path,depth)# output is a list of array representing tensor algebra# compute signature for batches (multiple) of pathspath=jrandom.normal(shape=(batch_size,length,dim),key=key)# new signax API can handle this case twooutput=signax.signature(path,depth)Integrate with theequinoxlibraryimportequinoxaseqximportjax.randomasjrandomfromsignax.moduleimportSignatureTransform# random generator keykey=jrandom.PRNGKey(0)mlp_key,data_key=jrandom.split(key)depth=3length,dim=100,3# create a signature transform at the specified depthsignature_layer=SignatureTransform(depth=depth)# stack a MLP layer after thatlast_layer=eqx.nn.MLP(depth=1,in_size=3+3**2+3**3,width_size=4,out_size=1,key=mlp_key)model=eqx.nn.Sequential(layers=[signature_layer,last_layer])x=jrandom.normal(shape=(length,dim),key=data_key)output=model(x)Also, check the notebooks inexamplesfolder for some experiments that
reproduce the results of thedeep signature transforms paper.InstallationVia pippython3 -m pip install signaxVia sourcegit clone https://github.com/anh-tong/signax.git
cd signax
python3 -m pip install -v -e .ParallelismThis implementation makes use ofjax.vmapto perform the parallelism over
batch dimension.Paralelism over chunks of paths is done usingjax.vmapas well.A quick comparison can be found at in the notebookexamples/compare.ipynb.
Below plots are comparison of forward and backward pass in both GPU and CPU for
pathsize=(32, 128, 8)and signaturedepth=5ForwardBackwardWhy is using pure JAX good enough?Because JAX make use of just-in-time (JIT) compilations with XLA, Signax can be
reasonably fast.We observe that the performance of this implementation is similar to Signatory
in CPU and slightly better in GPU. It could be because of the optimized
operators of XLA in JAX. Note thatSignatorycontains highly
optimized C++ source code (PyTorch with Pybind11).AcknowledgementThis repo is based onSignatoryDeep-Signature-TransformsEquinox
Package: signbank-feedback
The feedback component of SignbankDocumentationThe full documentation is athttps://signbank-feedback.readthedocs.org.QuickstartInstall Signbank-Feedback:pip install signbank-feedbackThen use it in a project:import feedbackYou must define the following variables insettings.py:LANGUAGE_NAME = "Auslan"COUNTRY_NAME = "Australia"SITE_TITLE = "Signbank"That’s for the Auslan site. For BSL, or another sign language,
you would use different values for those three variables.You must also addbootstrap3andfeedbackto yourINSTALLED_APPSvariable.FeaturesTODORunning TestsDoes the code actually work?source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ python runtests.pyCreditsTools used in rendering this package:Cookiecuttercookiecutter-djangopackageHistory0.1.0 (2016-08-29)First release on PyPI.
Package: signbank-video
The video component of the Signbank appDocumentationThe full documentation is athttps://signbank-video.readthedocs.org.QuickstartInstall signbank-video:pip install signbank-videoThen use it in a project:import videoYou must define the following variables insettings.py:FFMPEG_PROGRAM = "/usr/bin/ffmpegFFMPEG_TIMEOUT = 60FFMPEG_OPTIONS =["-vcodec","h264","-an"]VIDEO_ASPECT_RATIO = 3.0/4.0These variables controlffmpeg, a program that the video app requires
and uses for extracting a frame from a video (a frame is a thumbnail).
You can download it here:https://www.ffmpeg.org/download.html.
The value ofFFMPEG_PROGRAMon my system is/usr/bin/ffmpeg, but on
your system it might be different; it all depends on where the installer puts
theffmpegexecutable.Your must also define these following variables insettings.py:VIDEO_UPLOAD_LOCATION = "upload"GLOSS_VIDEO_DIRECTORY = "video"MEDIA_ROOT =os.path.join(os.path.dirname(os.path.abspath(__file__)),media)MEDIA_ROOTis the root directory for your media, so for the video app it’s the
root directory for all of the videos.VIDEO_UPLOAD_LOCATION, andGLOSS_VIDEO_DIRECTORYare directories inside ofMEDIA_ROOTthat contain
user uploaded videos, and videos of each sign, respectively.You must also define these following variables insettings.py:LANGUAGE_NAME = "Auslan"COUNTRY_NAME = "Australia"SITE_TITLE = "Signbank"Finally, you must also addvideoto theINSTALLED_APPSvariable ofsettings.py.FeaturesTODORunning TestsDoes the code actually work?source <YOURVIRTUALENV>/bin/activate
(myenv) $ pip install -r requirements_test.txt
(myenv) $ python runtests.pyCreditsTools used in rendering this package:Cookiecuttercookiecutter-djangopackageHistory1.10 (2016-09-20)First release on PyPI.
Package: signed_backbones
Signed Backbone ExtractionThis Python package provides tools to extract the signed backbones of intrinsically dense weighted networks.DependeciesnumpypandasTested for numpy==1.20.1 and pandas==1.2.2 but should work with most versions.InstallationUse the package managerpipto install signed_backbones.pipinstallsigned_backbonesExample Usageimportsigned_backbonesassbimportpandasaspdkarate_net=pd.read_csv('karate.txt',header=None,sep='\t')karate_sbb=sb.extract(karate_net,directed=False,significance_threshold=2.576,vigor_threshold=(-0.1,0.1))Seeexamples/KarateViz.ipynbfor visualizations of the original Karate network and its extracted signed backbone.CitationIf you find this software useful in your work, please cite:Furkan Gursoy and Bertan Badur. (2020)."Extracting the signed backbone of intrinsically dense weighted networks."(2020).ContributingPlease feel free to open an issue for bug reports, change requests, or other contributions.LicenseMITPackaged with:Flit
Package: signedjson
Signs JSON objects with ED25519 signatures.FeaturesMore than one entity can sign the same object.Each entity can sign the object with more than one key making it easier to
rotate keysED25519 can be replaced with a different algorithm.Unprotected data can be added to the object under the"unsigned"key.InstallingpipinstallsignedjsonUsingfromsignedjson.keyimportgenerate_signing_key,get_verify_keyfromsignedjson.signimport(sign_json,verify_signed_json,SignatureVerifyException)signing_key=generate_signing_key('zxcvb')signed_json=sign_json({'my_key':'my_data'},'Alice',signing_key)verify_key=get_verify_key(signing_key)try:verify_signed_json(signed_json,'Alice',verify_key)print'Signature is valid'exceptSignatureVerifyException:print'Signature is invalid'Format{"<protected_name>":"<protected_value>","signatures":{"<entity_name>":{"ed25519:<key_id>":"<unpadded_base64_signature>"}},"unsigned":{"<unprotected_name>":"<unprotected_value>",}}
Package: signed-xmlrpc
signed_xmlrpc - Send signed XML RPC Requestssigned_xmlrpcis a python library send signed xml rpc requests.This library can be used in cyber defense exercises when communication with a compromised server
and using credentials like usernames and passwords is not possible, because an attacker can use those to compromise more services and servers.:warning:do not use this library in proiduction environments!Installationpip install signed_xmlrpcCreate Key PairAt this time, the ecdsa library (https://pypi.org/project/ecdsa/) is used to handle signature verification.fromecdsaimportSigningKeysk=SigningKey.generate()# private_keyprint(base64.b64encode(sk.to_string()))# public_keyprint(base64.b64encode(sk.verifying_key.to_string()))Example Serverimportbase64fromecdsaimportVerifyingKeyfromsigned_xmlrpc.serverimportSignedXMLRPCServer,SignedRequestHandlerpublic_key=b'dmTk8IGtxQBC4lPuk9tXUIJqbiz4G01qLEzmt5Fmh9AkpqOWwcSyyVeDczrhGWe7'# if the signature is not required, the standard python xmlrpc library can be used as clientSignedRequestHandler.REQUIRE_SIGNATURE=TrueSignedXMLRPCServer(VerifyingKey.from_string(base64.b64decode(public_key)),('0.0.0.0',8081)).serve_forever()Example Clientimportbase64fromecdsaimportSigningKeyfromsigned_xmlrpc.clientimportSigningTransportimportxmlrpcprivate_key=b'BxbHQpNKpwKmYOs1RDSMg1vkIYsTTP3o'server=xmlrpc.client.ServerProxy('http://127.0.0.1:8081',transport=SigningTransport(private_key=SigningKey.from_string(base64.b64decode(private_key))))print(server.ping())
Package: signer
# signer```pythonfrom signer import Signerfrom datetime import datetime, timedeltasigner = Signer(b'secret key')tomorrow = datetime.utcnow() + timedelta(days=1)signed_message = signer.sign(b'message', expires=tomorrow)signer.verify(signed_message)```* signed message is not encrypted* if the signature failed the verification, verify() returns `None`* if expired, verfiy() returns `None`signing as json and tuple```pythonsigner.sign_json(dict(key="value"))signer.sign_record(['some', b'msg'], expires=tomorrow)signer.sign(obj, encoder=encode_fn)signer.verify(signed_bytes, decoder=decode_fn)```specify hash method```pythonSigner(method='sha1', digest_size=20)```
Package: signess
✒️ SignessSigness - библиотека для определения определения владельца подписи на основе нейронной сети от Fedot🛠️ Инструменты:PythonFedotInskrib🚀 Установка:pip install signessЗапускаем, не работет, ура! 🗿🚬📺 Демо:Пример использования -example⚡ Немного дополнительной информации:У библиотеки есть ограничения:При сборке датасета из документов есть большая вероятность появления ошибок, особенно если документы подготовленны без учета правил из библиотеки Inskrib:Inskrib не может автоматически переворачивать документы, но для этого есть отдельный метод в AutographsInskrib плохо работает с документами, в которых есть несколько подписей в разных частях документа, или если есть текст такого же цвета что и подписьесли печать имеет много зазоров или она обрезана, то метод удаления печати может не сработать или сработать плохоПри использовании Fedot <= 0.7.2 версии метод для загрузки модели (load) НЕ РАБОТАЕТ!!!P.S. Все баги и недочеты - это фичи
Package: signet
FULL HTML Documentation:http://jamercee.github.io/signet/Signet provides support for building and delivering tamper resistant python to
your users and customers.Signet creates a custom python loader which you deliver with your script. On
each invocation, the loader will verify no tampering has ocurred before it
runs the python script.Users have the confidence of knowing their scripts are safe and yet retain
full access to the python source for code review and enhancement. And you know
your users are running the right version of code.Signet is fully integrated withdistutilsto make the process of
building and installing new python projects as simple and painless as possible.How does it work?Signet relies on the strength of cryptographic hash to reliably detect file
modifications.  Signet builds hashes of your script and all it’s dependencies.
These hashes are incorporated into a custom python loader which will handle
re-verifying the hashes before it will run your script.If your script or any of it’s dependencies are tampered with, the loader will
emit an error and exit. If everything matches, the loader will run your script.Example usageFor example, if you had a simple scripthello.py:import os
print('hello from %s' % os.name)And you deployed it with this simplesetup.py:from distutils.core import setup, Extension
from signet.command.build_signet import build_signet

setup(name = 'hello',
    cmdclass = {'build_signet': build_signet, },
    ext_modules = [Extension('hello', sources=['hello.py'])],
    )Build your loader:python setup.py build_signetOn Windows you’ll havehello.exeand on Linux you’ll havehello.The signet system also provides facilities for code signing:from distutils.core import setup, Extension
from signet.command.build_signet import build_signet, sign_code

setup(name = 'hello',
    cmdclass = {'build_signet': build_signet,
                'sign_code': sign_code,
               },
    ext_modules = [Extension('hello', sources=['hello.py'])],
    )Build your loader:python setup.py build_signet
python setup.py sign_code --savedpassword --pfx-file {path-to-pfx}Installing SignetSignet is hosted on github athttps://github.com/jamercee/signetInstallation using git:git clone https://github.com/jamercee/signet
cd signet
python setup.py installSignet can also be installed with pip:pip install signetFeaturesMultiplatform: works underWindows (32/64-bit)LinuxFreeBSDIntegrated with DistutilsProtection from tampering (SHA1 hashed content)On WindowsProvides code signing executablesPE executable verificationAutomatic resource file generationCustomizable program iconCustomizable python loader (full c++ included)Unique process nameshowhellorather thanpython hello.pyCompatible with virtualenv