Saravanan666/pypi-org huggingface dataset:
Package: score.tpl
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.tplThis python package provides an infrastructure for managing templates, i.e.
files that need to be pre-processed before they can be put to their actual use.Thenarrative documentation of score.tplcontains all the information you
need to put this module to good use.LicenseCopyright © 2015-2018 STRG.AT GmbH, Vienna, AustriaCopyright © 2020 Necdet Can Ateşman, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: scoretree
ScoreTreeScoreTree is aneasy to use,multi-levelgrade weighting system that serves as excellent tool for cascade grading methods.InstallationThis packagehas been released through PyPI, so it can be installed using Python'spipmodule:python-mpipinstallscoretree[!NOTE]
The command above asumes that your Python interpreter is aliased topythonand references a version equal to or greater than 3.10Alternatively, it is also possible to clone this repository and install the package viapipand/orbuild.UsageHere is an usage example. Feel free to take a look atother examplesin the corresponding section of the repository.fromscoretreeimportScore,ScoreArea,ScoreTree# Define a score tree:st=ScoreTree([# Add a list of areas to be evaluated:ScoreArea(name=f"Simulation",weight=1,items=[# Each area can contain other areas and/or scores:ScoreArea("Stop maneuver",.2,[# Scores are the minimal grading unit:Score(name="Distance to end",weight=.8,score_range=(0,10),value=9.8848,inverse=True),Score("Deceleration intensity",.2,(0,20),value=185555)]),# Different instance creation syntax:ScoreArea("Track performance",.8,[Score("Speed",.3,(0,20),5),ScoreArea("Efficiency",.7,[Score("Track time",.5,(0,40),30),Score("Track distance",.5,(0,200),value=10,inverse=True)])])])],colorized=True)# Enable or disable colorized output.print(f"Total simulation score:{st.score}")This would be the colorized output for the code snippet above:ContributingSince this is a very small project that can be easily improved and can expand its functionality way further down the development process, any contributions, suggestions or bug reports are more than welcome!
Package: scoreunlocked
Package for ScoreUnlocked APIThis is a simple package for using theScoreUnlockedLeaderboard System.If you have not done already, you can clickhereto create a ScoreUnlocked developer accountYou can use this package by installing it from PyPi. To do so, type the following in the terminal:pip install scoreunlockedOnce ScoreUnlocked is installed, you can use it as:importscoreunlockedclient=scoreunlocked.Client()# instantiating the clientclient.connect('developer_name','leaderboard_name')# to get leaderboard from server [returns None if not found or errors occurred]client.get_leaderboard()# to post a score to the serverclient.post_score(name='name',score=100,validation_data='<data to validate score>')That's all you need to know for setting up a basic leaderboard.
Package: score.uws
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.wsuWebsocket implementation for use in combination with score.serve.Thenarrative documentation of score.uwscontains all the information you
need to put this module to good use.LicenseCopyright © 2017,2018 STRG.AT GmbH, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: score.uwsgi
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.uwsgiManagement of uwsgi processes for The SCORE Framework.This module is a work in progress, thus currently poorly documented :-/LicenseCopyright © 2015 STRG.AT GmbH, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: scorev
scorevscorev is a PyPI tool for scoring COVID-19 policies in a filename 'oecd.csv' with vaccine rates
such as at least 1 dose, fully vaccinated, and booster given.scorev subsumes PyPI scorecovid application.The score is calculated by dividing the number of deaths due to COVID-19.
Generated result.csv has the following determinants:
deaths, population, score, 1dose (rate: at least 1 dose), full (rate: fully vaccinated), booster (rate: booster given).Vaccine rates such as 1dose, full, and booster are unreliable
since some countries do not often update.The current program checks the last 8 days in the dataset.Data is scraped from the following site:https://covid.ourworldindata.org/data/owid-covid-data.csvHow to install scorev$ pip install scorevHow to run scorev$ scorerevHow to modify country namesModify oecd.csv file for adding and deleting countries.
Package: score.varnish
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.varnishThis module provides convenientpurgingof obsolete URLs in avarnishserver.Thenarrative documentation of score.varnishcontains all the information
you need to put this module to good use.LicenseCopyright © 2015-2018 STRG.AT GmbH, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: score.webassets
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.webassetsThis python package provides an infrastructure for handling assets in a web
project, where an asset is a static resource that is included by the web
application (like a javascript file, or css definitions).Thenarrative documentation of score.webassetscontains all the information
you need to put this module to good use.LicenseCopyright © 2015-2018 STRG.AT GmbH, Vienna, AustriaCopyright © 2018-2020 Necdet Can Ateşman, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: score.websockets
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.websocketsIntegration of thewebsocketslibrary into The SCORE Framework.Thenarrative documentation of score.websocketscontains all the
information you need to put this module to good use.LicenseCopyright © 2015-2018 STRG.AT GmbH, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: score.ws
The SCORE Frameworkis a collection of harmonized python and javascript
libraries for the development of large scale web projects. Powered bystrg.at.score.wsWebsocket Service to use in combination with score.serve.This module is a work in progress, thus currently poorly documented :-/LicenseCopyright © 2015-2017 STRG.AT GmbH, Vienna, AustriaAll files in and beneath this directory are part of The SCORE Framework.
The SCORE Framework and all its parts are free software: you can redistribute
them and/or modify them under the terms of the GNU Lesser General Public
License version 3 as published by the Free Software Foundation which is in the
file named COPYING.LESSER.txt.The SCORE Framework and all its parts are distributed without any WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. For more details see the GNU Lesser General Public License.If you have not received a copy of the GNU Lesser General Public License seehttp://www.gnu.org/licenses/.The License-Agreement realised between you as Licensee and STRG.AT GmbH as
Licenser including the issue of its valid conclusion and its pre- and
post-contractual effects is governed by the laws of Austria. Any disputes
concerning this License-Agreement including the issue of its valid conclusion
and its pre- and post-contractual effects are exclusively decided by the
competent court, in whose district STRG.AT GmbH has its registered seat, at the
discretion of STRG.AT GmbH also the competent court, in whose district the
Licensee has his registered seat, an establishment or assets.
Package: scorpio-gp
SCORPIOSky COllector of galaxy Pairs and Image Output (Scorpio) Is a tool to quick analyze and generate images of galaxy pairs, using data from different surveys.MotivationThe interacting galaxies are one of the most interesting events in the area of extragalactic astronomy. The degree of interaction can sometimes be biased by projection effects. From the osbervation point of view, a visual image obtained from the photometry of these objects makes it possible to establish and quantify some features of this interaction, such as tidal tails and other deformations caused by gravitational force.FeaturesThe essential input parameters are RA, DEC, redshift (and other optional data such as survey and filters) for each of the galaxies of interest.Based on these, the application has several functions that:Check and download the.fitsfiles in each survey and filter, using astroquery tools.stack and generate a single array with the informationCalculate the distance in physical units and in pixels.Export the image in the desired format and directory.Code and issuesThe entire source code of is hosted in GitHubhttps://github.com/josegit88/SCORPIOLicenseSCORPIO is underMITA short, permissive software license. Basically, you can do whatever you want as long as you include the original copyright and license notice in any copy of the software/source.  There are many variations of this license in use.InstallationThis is the recommended way to install SCORPIO.Installing  with pipMake sure that the Python interpreter can load SCORPIO code.
The most convenient way to do this is to use virtualenv, virtualenvwrapper, and pip.After setting up and activating the virtualenv, run the following command:$pipinstallscorpio-gp...That should be it all.Installing the development versionIf you’d like to be able to update your SCORPIO code occasionally with the latest bug fixes and improvements, follow these instructions:Make sure that you have Git installed and that you can run its commands from a shell.
(Entergit helpat a shell prompt to test this.)Check out SCORPIO main development branch like so:$gitclonehttps://github.com/josegit88/SCORPIO.git...This will create a directorySCORPIOin your current directory.Then you can proceed to install with the commands$cdSCORPIO$pipinstall-e....DocumentationThe full documentation of the project are available inhttps://scorpio-rdd.readthedocs.ioContactFor bugs or question please contactJosé Benavidesjose.astroph@gmail.com
Package: scos
=================================================test_list_cst is test list with embedded lists=================================================list2outline will format the contents of a list(with or w/o embedded lists) to an outline.USEAGE:list2outline(your_list, wiki_style, root_level)WHERE:your_list is a listEG: my_list = ['one', 'two', ['eh', 'bee',['eye', 'aye-aye', 'aiyayai']], 'see']wiki_style is:'doku' (dokuwiki) (default)'lion' (lionwiki)'lionhead' (lionwiki headers)'I' (traditional outline style) (set root_levelto 0 for best results)anything else (tab-indented)root_level is beginning level (default 1)EG:>>> scos.testlist()Here is a list you can copy and paste:['gta', ['locations', ['gi', ['subnets', ['10.10.1.0/24', ['.1 router', '.222 avaya']]], 'rc', 'bh']], 'ppl', ['locations', ['gi', 'sterling', 'jerome']]]>>> cst = ['gta', ['locations', ['gi', ['subnets',['10.10.1.0/24', ['.1 router', '.222 avaya']]],'rc', 'bh']], 'ppl', ['locations', ['gi','sterling', 'jerome']]]>>> scos.list2outline(cst)* gta* locations* gi* subnets* 10.10.1.0/24* .1 router* .222 avaya* rc* bh* ppl* locations* gi* sterling* jerome>>> scos.list2outline(cst, 'lion')*  gta**  locations***  gi****  subnets*****  10.10.1.0/24******  .1 router******  .222 avaya***  rc***  bh*  ppl**  locations***  gi***  sterling***  jerome>>> scos.list2outline(cst, 'lionhead')!  gta!!  locations!!!  gi!!!!  subnets!!!!!  10.10.1.0/24!!!!!!  .1 router!!!!!!  .222 avaya!!!  rc!!!  bh!  ppl!!  locations!!!  gi!!!  sterling!!!  jerome>>> scos.list2outline(cst, 'I', 0)I. gtaA. locationsi. gi1. subnetsa. 10.10.1.0/24aa. .1 routerbb. .222 avayaii. rciii. bhII. pplA. locationsi. giii. sterlingiii. jerome>>> scos.list2outline(cst, 'x')gtalocationsgisubnets10.10.1.0/24.1 router.222 avayarcbhppllocationsgisterlingjerome=================================================
Package: scot
SCoT is a Python package for EEG/MEG source connectivity estimation.Obtaining SCoT##### From PyPiUse the following command to install SCoT from PyPi:pip install scot##### From SourceUse the following command to fetch the sources:git clone –recursivehttps://github.com/scot-dev/scot.gitscotThe flag–recursivetells git to check out the numpydoc submodule, which is required for building the documentation.DocumentationDocumentation is available online athttp://scot-dev.github.io/scot-doc/index.html.DependenciesRequired: numpy, scipyOptional: matplotlib, scikit-learnThe lowest supported versions of these libraries are numpy 1.8.0, scipy 0.13.3, scikit-learn 0.15.0, and
matplotlib 1.4.0. Lower versions may work but are not tested.ExamplesTo run the examples on Linux, invoke the following commands inside the SCoT main directory:PYTHONPATH=. python examples/misc/connectivity.pyPYTHONPATH=. python examples/misc/timefrequency.pyetc.Note that you need to obtain the example data fromhttps://github.com/SCoT-dev/scot-data. The scot-data package must be on Python’s search path.NoteAs of version 0.2, the data format in all SCoT routines has changed. It is now consistent with Scipy and MNE-Python. Specifically, epoched input data is now arranged in three-dimensional arrays of shape(epochs, channels, samples). In addition, continuous data is now arranged in two-dimensional arrays of shape(channels, samples).
Package: scotpy
Sparse Convex Optimization Toolbox Python API (SCOTpy)Overviewscotpyis a lightweight library designed to help you build and solve Sparse Convex Optimization (SCO) problems on computational networks with N nodes. It relies on the availability of theSCOTsolver executable and associated shared libraries.For more detailed information about theSCOTsolver, including compilation instructions and additional details, please visit theSCOT repository.InstallationSupported PlatformsSCOTis compatible with the following platforms:Ubuntu 20.04 or highermacOSWindows Subsystem for Linux (WSL2)DependenciesTo set upSCOT, you need the following prerequisites:SCOT: EnsureSCOTis installed on your OS.Installation GuideGurobi Optimizer: Version 10 or higher is required.Quick Start Guide.Message Passing Interface (MPI):OpenMPIMPICHMicrosoft MPI (for Windows)Seerequirements.txtfor other dependencies.UsageSeedslr.ipynb
Package: scottbrian-locking
IntroThe SELock is a shared/exclusive lock that you can use to safely read
and write shared resources in a multi-threaded application.Example:use SELock to coordinate access to a shared resource>>> from scottbrian_locking import se_lock as sel
>>> a_lock = sel.SELock()
>>> # Get lock in exclusive mode
>>> with sel.SELockExcl(a_lock):
...     msg = 'lock obtained exclusive'
>>> print(msg)
lock obtained exclusive>>> # Get lock in shared mode
>>> with sel.SELockShare(a_lock):
...     msg = 'lock obtained shared'
>>> print(msg)
lock obtained sharedInstallationLinux:pip installscottbrian-lockingDevelopment setupSee tox.iniRelease History1.0.0Initial release1.1.0Add RELockObtain context managersupport python 3.11MetaScott TuttleDistributed under the MIT license. SeeLICENSEfor more information.ContributingFork it (<https://github.com/yourname/yourproject/fork>)Create your feature branch (git checkout -b feature/fooBar)Commit your changes (git commit -am ‘Add some fooBar’)Push to the branch (git push origin feature/fooBar)Create a new Pull Request
Package: scott-freeze
Keeprequirements.inwith unpinned or loosely pinned requirements, and
let scott freeze them intorequirements.txtfor tests and deployment:$ cat requirements.in
flask>0.9$ scott-freeze requirements.in > requirements.txt$ cat requirements.txt
# Generated file. Please do not edit manually
#
# `requirements.in` contains direct dependencies (and may be >version instead
# of ==version) This file is a list of dependencies and _their_ dependencies,
# completely frozen.  To generate this file, use scott-freeze
#
# Example
#     $ scott-freeze requirements.in > requirements.txt
#
Flask==0.10.1
itsdangerous==0.24
Jinja2==2.7.3
MarkupSafe==0.23
Werkzeug==0.9.6Version controlWe recommend that you keep bothrequirements.inandrequirements.txtin your repo.LicenseApache 2.0. See LICENSE for details.