Saravanan666/pypi-org huggingface dataset:
Package: scamadviser-client
Installationpip install scamadviser_clientorpoetry add scamadviser_clientUsagefromscamadviser_clientimportFeedAPIapi=FeedAPI(apikey=[your_apikey])api.list(params={"type":"daily","from":"2023-01-01","to":"2023-01-02"})api.download(params={"path":"/5-minute/1602245968.json"})DevelopmentYou may installNixto have fully env settings by runningnix-shell,
or simply usepoetry shellto bootstrap this package if you would like to join our development.We also usejustfileto provide some simple commands, you may usejustdefaultto check all of these available commands.start the environment (poetry)justupstop the environment (poetry)justdowntestjusttestmake the code prettierjustbe-pretty
Package: scam-net-rewintous
Score-Weighted Class Activation Mapping (SCAM-NET)AboutThis is an implementation of:Score-CAM Improved Visual Explanations Via Score-Weighted Class Activation Mapping.
[https://arxiv.org/abs/1910.01279]BibTex reference:@misc{wang2019scorecamimproved,
title={Score-CAM:Improved Visual Explanations Via Score-Weighted Class Activation Mapping},
author={Haofan Wang and Mengnan Du and Fan Yang and Zijian Zhang},
year={2019},
eprint={1910.01279},
archivePrefix={arXiv},
primaryClass={cs.CV}
}It is capable of postprocessing CNNs by taking its final output convolutional layer and softmax layer and generating spatial heatmap for the specified class.
Regions with higher score correspond to the pixels with greater importance in classifying an image with a specific class.UsageTo use ScoreCAM class with Keras is as easy as adding 2 calls:from scam.keras import ScoreCAM
scoreCAM = ScoreCAM(model_input=model_input, last_conv_output=conv_layers, softmax_output=softmax_output, input_shape=input_shape)
scoreCAM.prepare_cam(img)model_input- is an input layerconv_layers- last convolutional layer outputsoftmax_output- final classification layer output.input_shape- expected image spatial dimensions (e.g. (224,224))and# return heatmap of the same size as image
heatmap = scoreCAM.get_class_heatmap(class_id)Expected OutputThe output is a heatmap which describes an importance of a classclass_idwith respect to pixel location.
Below is the sample output for tiger_cat class:
Package: scamp-extensions
scamp_extensionsscamp_extensionscontains various extensions to theSCAMP frameworkfor computer-assisted music composition.This package is the place for models of music-theoretical concepts (e.g. scales, pitch-class sets), conveniences for interacting with various types of input and output, and in general anything that builds upon SCAMP but is outside of the scope of the main framework.InstallationNeedless to say, scamp_extensions depends up onscamp. The easiest way to installscamp_extensionsis through pip:pip3 install --user scamp_extensionsTo install the most up-to-date version (assuming you have git installed), you can instead run:pip3 install git+https://git.sr.ht/~marcevanstein/scamp_extensionsThis will install the latest version from this repo.
Package: scanalignment
Scan Alignment is a PyQtGraph-based graphical user interface. It allows for horizontal line alignment of images
collected in the TwinMic beamline through Scanning transmission x-ray microscopy (STXM) imaging technique.READMEIntroductionTo do.InstallationFor standard Python installations, install scanalignment using pip:pipinstall-UpipsetuptoolspipinstallscanalignmentUsageOnce the installation has finished just type on the command line:scanAlignRequirementsPython 2.7.Setuptools.Tifffile.H5Py.Matplotlib.NumPy.PyQt5.PyQtGraph.SIP.
Package: sc-analyzer-base
A simple Python projectThis project provides some analyzer base classes and utilities.InstallationIt is possible to install the tool withpip:pip install sc-analyzer-baseConfigurationConfiguration files reading in this order, the first is the top most priority:production.xml in current directory,production.xml in <project_name> directory under User directory,production.xml in <project_name> directory under /var/opt/sc/ directory,default.xml in <project_name> directory under /var/opt/sc/ directory.The default configuration file looks like this:dev:
  # whether this program is running is development mode
  dev_mode: FalseLicenseThe script is released under the MIT License.  The MIT License is registered
with and approved by the Open Source Initiative[1].[1]https://opensource.org/licenses/MIT
Package: scanapi
A library foryour APIthat provides:Automated Integration TestingAutomated Live DocumentationGiven an API specification, written in YAML/JSON format, ScanAPI hits the specified
endpoints, runs the test cases, and generates a detailed report of this execution - which can also
be used as the API documentation itself.With almost no Python knowledge, the user can define endpoints to be hit, the expected behavior
for each response and will receive a full real-time diagnostic report of the API!ContentsContentsRequirementsHow to installBasic UsageDocumentationExamplesContributingRequirementspipHow to install$pipinstallscanapiBasic UsageYou will need to write the API's specification and save it as aYAMLorJSONfile.
For example:endpoints:-name:scanapi-demo# The API's name of your APIpath:http://demo.scanapi.dev/api/v1# The API's base urlrequests:-name:list_all_users# The name of the first requestpath:users/# The path of the first requestmethod:get# The HTTP method of the first requesttests:-name:status_code_is_200# The name of the first test for this requestassert:${{ response.status_code == 200 }}# The assertionAnd run the scanapi command$scanapirun<file_path>Then, the lib will hit the specified endpoints and generate ascanapi-report.htmlfile with the report results.DocumentationThe full documentation is available atscanapi.devExamplesYou can find complete examples atscanapi/examples!This tutorial helps you to create integration tests for your REST API using ScanAPIContributingCollaboration is super welcome! We prepared theNewcomers Guideto help you in the first steps. Every little bit of help counts! Feel free to create newGitHub issuesand interact here.Let's build it together 🚀🚀
Package: scanbook
ScanbookA Python command-line tool for turning page scans into a nice black-and-white PDF.InstallationInstall Imagemagickpip install scanbookMake sure the Python binary path is in your $PATH.Pipless installationpython setup.py installinstead ofpip install scanbookDependenciesclickopencv-pythonscikit-imageImagemagick (convert)Usagescanbook BOOKNAME FILENAMES...Example:scanbook war-and-peace *.jpgOptions:--threshold NUM-- set the threshold value, if the images are turning out too light or too dark; must be an odd number (default: 19)--no-cleanup-- leave the__BOOKNAMEfolder (handy if you want to do anything with the processed image files)--verboseExample:scanbook --verbose --threshold 27 --no-cleanup war-and-peace *.jpg
Package: scanbooker
ScanBooker is a domainmodel application, designed to support medical imaging administration. ScanBooker has a rich model of the medical imaging domain, which provides for tracking organisations, groups, researchers, training level, projects, ethics approvals, cost accounting, volunteers, and more. ScanBooker also provides a calendar for scheduling sessions with close reference to the model. ScanBooker was originally developed in a collaboration between the UK’s Medical Research Council and the Appropriate Software Foundation. ScanBooker is stable, under active development, and upgrades are released with a tested data migration path.
Package: scancode-analyzer
What is Scancode-AnalyzerScanCodedetects licenses, copyrights, package manifests and direct dependencies and more both in
source code and binary files.ScanCode license detection is using multiple techniques to accurately detect licenses based on
automatons, inverted indexes and multiple sequence alignments. As the detection supports approximate
matching, there’s a lot ofunknowndetections, or multiple approximate matches.The goal of this project is to improve the accuracy of license detection leveraging scancode scans,It is aScanCodepost-scanplugin to use it in scans directly, and in future asscancode.iopipelines, with better issue review and reporting features.This project aims to:Write tools and create models to massively analyze the accuracy of license detectionDetect areas where the accuracy could be improved.Add this as ascancodepost-scan pluginAdd to pipelines inscancode.ioWrite reusable tools and models to assist in the semi-automated reviews of scan results.It will also suggest new license detection rules semi-automatically to fix the detected anomaliesGetting StartedRefer to the installation instructions onINSTALL.rstDocumentationDocumentation:https://scancode-analyzer.readthedocs.io/en/latest/Project BoardProject Boardforscancode-analyzer: Analysing Scancode License Detection Results.
Package: scancodeio
ScanCode.io is a server to script and automate software composition analysis
with ScanPipe pipelines.First application is for Docker container and VM composition analysis.Getting startedThe ScanCode.io documentation is available here:https://scancodeio.readthedocs.org/If you have questions that are not covered by ourDocumentationorFAQs,
please ask them inDiscussions.If you want to contribute to ScanCode.io, start with ourContributingpage.A new GitHub action is now available atscancode-actionto run ScanCode.io pipelines from your GitHub Workflows.
Visithttps://scancodeio.readthedocs.io/en/latest/automation.htmlto learn more
about automation.Build and tests statusTestsDocumentationLicenseSPDX-License-Identifier: Apache-2.0The ScanCode.io software is licensed under the Apache License version 2.0.
Data generated with ScanCode.io is provided as-is without warranties.
ScanCode is a trademark of nexB Inc.You may not use this software except in compliance with the License.
You may obtain a copy of the License at:http://apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software distributed
under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.Data Generated with ScanCode.io is provided on an “AS IS” BASIS, WITHOUT WARRANTIES
OR CONDITIONS OF ANY KIND, either express or implied. No content created from
ScanCode.io should be considered or used as legal advice. Consult an Attorney
for any legal advice.
Package: scancodeio-glc-plugin
This package contributes a new pipeline based onGoogle License Classifierto ScanCode.io. The pipeline is
capable of identifying license expressions as well as copyright statements within the code,
without compromising with speed and accuracy.Based onGoLicense Classifier.InstallationTo use Google License Classifier pipeline in your local ScanCode.io instance,
install the python package from PyPI usingpipinstallscancodeio_glc_pluginThe newly installed pipeline will now be available for use in ScanCode.io.DevelopmentTo get started, create a fork of this project and clone it to your local machine.Set up your development environment using./configure--devOnce the setup is complete, fetch the latest scancode.io instance from GitHub. This step is required
to ensure that all the dependencies of the pipeline are met.venv/bin/pipinstallscancodeio@git+https://github.com/nexb/scancode.io.gitOnce the environment is set up, run the test suite to ensure that everything is in
working order.venv/bin/pythonruntests.py
Package: scanctl
scanctl=======> A tool to facilitate managing Whitesource data![PyPi](https://img.shields.io/pypi/v/scanctl.svg)![Travis](https://img.shields.io/travis/spotify/scanctl.svg)### Requirements:* Python 3.6* Whitesource [Filesystem Agent][][Filesystem Agent]: https://whitesource.atlassian.net/wiki/spaces/WD/pages/33718339/File+System+Agent### Development:```sh$ git clone git@github.com:spotify/scanctl.git$ cd scanctl# optionally create a virtualenv before installing$ pyenv virtualenv 3.6.5 venv$ pyenv activate venv(venv) $ pip install -r requirements.txt(venv) $ pip install -e .# list all organizations and repositories from a remote(venv) $ scanctl github --token $GITHUB_API_TOKEN list-orgs(venv) $ scanctl github --token $GITHUB_API_TOKEN list-repos# run a scan against a particular repository(venv) $ scanctl scan --token $WHITESOURCE_API_TOKEN spotify/scanctl```### Release:Follow the standard pull request workflow; tests will be run before merging.Either as part of the pull request or as a commit to master, run the followingcommands to increment the release version:```sh(venv) $ pip install -r requirements-dev.txt(venv) $ bumpversion minor(venv) $ git push && git push --tags```The next travis build will push the new package to PyPi.### Code of ConductThis project adheres to the [Open Code of Conduct][code-of-conduct]. Byparticipating, you are expected to honor this code.[code-of-conduct]: https://github.com/spotify/code-of-conduct/blob/master/code-of-conduct.md
Package: scandi-reddit
ScandiRedditConstruction of a Scandinavian Reddit dataset.Developers:Dan Saattrup Nielsen (dan.nielsen@alexandra.dk)InstallationThe package is available on PyPI, so you can install the package using your favourite
package manager. For instance,pip install scandi_redditorpoetry add scandi_reddit.Quick startSimply run the commandbuildin the terminal to build the dataset. This takes quite a
while! See$ build --helpfor more information on all the settings.
Package: scaneo
ScanEOScanEO is a Satellite collaborative annotation tool for Earth Observation.InstructionsInstall ScanEOpip install scaneoRun the user interfacescaneo -d <path_to_data>Open ScanEO in the provided URL (http://localhost:8000by default) to start labeling your data.You can check the interactive documentation athttp://localhost:8000/docs(or the equivalent URL if you changed the port or host).You can see other options withscaneo --helpIf your data is in a cloud bucket, you can work with it directly by providing the appropriate credentials.AnnotationsYour annoatations will be stored asGeoJSONfiles with the same name of your images, followed by_labels.geojson. For example, if you are labelingimage1.tif, your annotations will be stored inimage1_labels.geojson. Additionally, alabels.jsonfile will be created containing some metadata about your annotations.If your data folder contains a valid STACcatalog.json, ScanEO will work in STAC mode, using thelabel extension. STAC items will be created for each image (if not already present) and the annotations will be stored and linked as separate assets.ContactScanEO is developed byEarthpulse. Get in touch with us if you want to know more about ScanEO.
Package: scanet
SCANet: A workflow for single-cell co-expression based analysisSCANet, a new python package that incorporates the inference of gene co-expression networks from single-cell gene expression data and a complete analysis of the identified modules through trait and cell type associations, hub genes detection, deciphering of co-regulatory signals in co-expression, and drug-gene interactions identification. This will likely accelerate network analysis pipelines and advance systems biology research.InstallationTo installSCANet.pip install scanetFinally, it should be possible to import drugstone to your python script.importscanetYou can useimportscanetassnSCANetofficially supports Python 3.6+.UsageA full detailed example ofSCANet: Refer to thisJupyter Notebook.In thisJupyter Notebook, we explored all aspects of gene coexpression networks (GCNs) usingSCANetthrough a full analysis of the 3k PBMCs from 10x Genomics.
Package: scan-for-webcams
scan-for-webcams :camera:中文文档Table of contentsUsageInstallationDemoUsagesfw search MJPG: for publicMJPG streamerssfw search webcamXP: for publicwebcamXP streamerssfw search yawCam: for publicyawCam steamerssfw search --help: for more options and helpThe program will output a list of links with the format ofip_address:port, and descriptions of the image beneath it.If your terminal supports links, click the link and open it in your browser, otherwise, copy the link and open it in your browser.Installationinstall package from PYPI:pip install scan-for-webcamsset up shodan:
go toshodan.io, register/log in and grab your API keyset up clarifai:
go toclarifai.com, register/log in, create an application and grab your API keysetup geoip:
go togeo.ipify.org, register/log in and grab your API keyAdd API keys:runsfw setupenter your shodan, clarifai and geoip API keysAnd then you can run the program!Demo
Package: scanfs
scanfsThis module scans the filesystem and provides custom hooks to handle each file
type of your choice.InstallationpipinstallscanfsExampleHow to write your own scanner enhancements?This example scans the/usr/binfolder for ELF files and handles the callback
to provide file stat info.importosfromscanfs.fsscannerimportFileSystemScannerfromscanfs.fsscannereximportFSScannerExceptiondefcallback(fpath,node):try:path=os.path.join(fpath,node.name)# Now do what you want on the instance of file# eg. statstatinfo=os.stat(path)print(statinfo)exceptFSScannerExceptionase:print("An exception occurred: "+str(e))fss=FileSystemScanner("/usr/bin")fss.scan_for_elfs(callback)Simple way to scan ELF files for binary protection check usingchecksecutilitychecksecutility can be downloadedhereimportosimportsubprocessfromscanfs.fsscannerimportFileSystemScannerfromscanfs.scanners.checksecscannerimportCheckSecScannercss=CheckSecScanner("/usr/bin","/tmp/checksec_results.json")css.checksec_on_elfs()css=CheckSecScanner("/usr/bin","/tmp/checksec_results.csv",fformat="csv")css.checksec_on_elfs()Developerpython-mbuild
twineuploaddist/*Ref:https://packaging.python.org/tutorials/packaging-projects/
Package: scangen
scangenscangen is a scanner generator that uses Jinja2 templates.Prerequisitesscangen requireslibcrnd.Installationpip install scangen.UsageGo toexamples, runmakeand see the output files inexamples/build.
On Linux, you might have to do add/usr/local/libtoLD_LIBRARY_PATHbefore runningscangen.LicenseMIT.
Package: scanhub
ScanHub ToolsFor more information on ScanHub ToolsInstallationTo install the latest stable version of ScanHub tools, you can usepipin a terminal:pipinstall-UscanhubLicensingScanHub isBSD 3-Clause Licensed:Copyright (c) 2021-2022, BRAIN-LINK UG and authors of ScanHub Tools.
All rights reserved.Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS”
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Package: scania-truck-air-presure-fault-detector
Defect detection in Air Presure System of Scania TruckGenerate A E S T H E T I C ASCII art.InstructionsInstall:
pip install scania_truck
Generate an aesthetic ASCII visual:
from scania_truck import pipelineinitialize drive object (to generate visuals)drive = synthesize.Drive()generate a ASCII visual (dark_mode optional)drive.generate(dark_mode=True)save to png
Package: scanimage-meta
Nicer metadata format wrapper for scanimage tif reader:https://pypi.org/project/scanimage-tiff-reader/Provides more convenient and object oriented accessCurrent status:
Works, but not thouroughly testedExample:meta = ScanimageMeta.fromfilepath('scanimagetif.tif')
print(meta.SI.hRoiManger.scanFrameRate)
Package: scanimage-tiff-reader
AboutFor more information see thedocumentation.The ScanImageTiffReader reads data fromTiffandBigTifffiles recorded
usingScanImage.  It was written with performance in mind and provides access
to ScanImage-specific metadata. It is also available forMatlab,JuliaandC.
There’s also acommand line interface. This library should actually work with
most tiff files, but as of now we don’t support compressed or tiled data.The library is pip-installable for 64-bit Windows, OS X, or Linux.  We test
against python 3.6 and python 2.7.14.BothScanImageand this reader are products ofVidrio Technologies.  If you
have questions or need support feel free tosubmit an issueorcontact us.ExamplesPythonfromScanImageTiffReaderimportScanImageTiffReadervol=ScanImageTiffReader("my.tif").data();
Package: scanimage-webui
ScanImage WEB UIWebUI for linux SANE commandscanimage. Application is based on Python
and JavaScript. Runs on localhost:7800 or other specified port.
This tool enables you to use your USB scanner as network scanner
for many users. It can be run on Raspberry Pi for example Rapsbian
Linux system distribution.Instalationaptupdate&&aptinstallsane-utils
wgethttps://gitlab.com/alda78/scanimage-webui/-/archive/master/scanimage-webui-master.tar&&\tar-xfscanimage-webui-master.tar&&\cdscanimage-webui-master/&&\sudopython3setup.pyinstall&&\cd../&&\sudorm-rfscanimage-webui-master/or simplyaptupdate&&aptinstallsane-utils
pip3installscanimage-webuiRunningscanimage-webui--help
usage:scanimage-webui[-h][-pPORT][-dSCAN_DIRETORY]ScanImageWEBUIv1.2.3

optionalarguments:-h,--helpshowthishelpmessageandexit-pPORT,--portPORTAPPserverport-dSCAN_DIRETORY,--scan-directorySCAN_DIRETORYDirectorywherescannedimageswillbestored.systemd configurationecho'[Unit]Description=ScanImageWebUI[Service]ExecStart=/bin/sh "/usr/local/bin/scanimage-webui >> /var/log/scanimage-webui.log 2>&1 &"ExecStop=killall scanimage-webuiExecRestart=/bin/sh "killall scanimage-webui && /usr/local/bin/scanimage-webui >> /var/log/scanimage-webui.log 2>&1 &"ExecStatus=ps -ax | grep scanimage-webuiType=forking[Install]WantedBy=multi-user.target'>/lib/systemd/system/scanimage-webui.service
systemctlenablescanimage-webui.serviceafter that is possible to usesystemctlstartscanimage-webui.serviceScreenshot
Package: scanimate
scanimateTiny Python package for generating static animations (also known as 'scanimations')Leverages Moire patterns for motion effects.Notethat you'd currently need to fake things digitally to see movement which defeats the purpose, or (preferably) print the grid onto transparency paper or 3D print an opaque grid. Eventually I'll be creating a simple web-app to simulate the effect and provide an interface and API for generating scanimations of user uploaded image stacks or gifs, and I have follow-up plans to make a lightweight phone app (at least on android) which could display various "grid" patterns as an overlay of video from the camera/webcam.Example:Michael GIFMichael ScanimationGrid used to create effect