Saravanan666/pypi-org huggingface dataset:
Package: beyondskins.responsive
Table of ContentsOverviewRequirementsScreenshotsInstallationGetting the themeEnabling the themeCreditsChangelog0.4 (2012-09-02)0.3 (2012-03-21)0.2 (2012-02-23)0.1 (2011-11-04)OverviewResponsive Diazo is an installable Plone Theme developed bySimples
Consultoriausing thethemingandpackagingfeatures available inplone.app.theming.You could use this theme as a start for you own Diazo themes – but send us a
postcard, ok ;-)RequirementsPlone 4.1.x (http://plone.org/products/plone)plone.app.theming (will be installed as a dependency of this package)ScreenshotsLayout of the site when viewed in a computer resolution:Layout of the site when viewed with a tablet resolution:InstallationGetting the themeZip fileIf you are an end user, you might enjoy installation via zip file import.Download azip fileImport the theme from the Diazo theme control panel.BuildoutIf you are a developer, you might enjoy installing it via buildout.Addbeyondskins.responsiveto yourplone.recipe.zope2instancesection’seggsparameter e.g.:[instance]
eggs =
    Plone
    ...
    beyondskins.responsiveOr, you can add it as a dependency on your own productsetup.py:install_requires=[
    ...
    'beyondskins.responsive',
],Enabling the themeSelect and enable the theme from the Diazo control panel. That’s it!CreditsThiago Tamosauskas (thiago at simplesconsultoria dot com dot br) - CSS,
Accessibility and Q&A.Andre Nogueira (andre at simplesconsultoria dot com dot br) - Conception
and prototype.Davi Lima (davi at simplesconsultoria dot com dot br) - Translation,
Fixes.Changelog0.4 (2012-09-02)Introduce the “plone:static” directive (from plone.resource)
before using it [danjacka]Add plone.app.toolbar support [ericof]New diazo rule for Analytics [tamosauskas]New diazo rule for Plone Lingua [tamosauskas]A most efficient rule for head elements. Thanks brett-kimball [tamosauskas]Fix bug in lists and numbered lists in content [tamosauskas]0.3 (2012-03-21)Explicitly add stuff to Manifest.in , solving issue #1 [ericof]Add include MANIFEST.in to MANIFEST.in [ericof]0.2 (2012-02-23)Including customizable touch-favicon  [tamosauskas]Pixel-Perfect adjustment in navbar [tamosauskas]Add ARIA landmark roles [agnogueira]Add a so much better Ipad navigation experience [tamosauskas]Mobile search using overlay [tamosauskas]0.1 (2011-11-04)Packaging [erico_andrei]Applies Liquid Layout  [tamosauskas]Proportional use of images and fonts [tamosauskas]Media queries for responsive design [tamosauskas]Transparent Bacground in the header image [tamosauskas]Search Box layout without images [tamosauskas]
Package: beyonic
Beyonic Python LibraryThe official Python library for interacting withhttp://beyonic.comAPIInstallationYou don't need this source code unless you want to modify the package. If you just want to use the Beyonic Python bindings, you should run:pipinstallbeyonicoreasy_installbeyonicor manuallygitclonehttps://github.com/beyonic/beyonic-python.gitcdbeyonic-pythonpythonsetup.pyinstallUsagePlease visithttps://apidocs.beyonic.com/for usage documentationDevelopmentPlease see DEVELOPMENT.md for information on adding installing requirements, adding new API methods and running testsChangelog0.1.8AddedAccounts API Wrapperfor interacting with theaccounts api.0.1.14Added Network and Currency APIs and ability to set Duplicate-Check-Key header for each request0.1.15Addedbanks API wrapperfor interacting withthe banks api
Package: beziers
Beziers provides a variety of classes for constructing, manipulating and
drawing Bezier curves and paths. Principally designed for font design
software, it allows you to join, split, offset, and perform many other
operations on paths.Here is an example session:from beziers.point import Point
from beziers.path import BezierPath
from beziers.cubicbezier import CubicBezier
b1 = CubicBezier(
  Point(412.0,500.0), Point(308.0,665.0), Point(163.0,589.0), Point(163.0,504.0)
)
b2 = CubicBezier(
  Point(163.0,504.0), Point(163.0,424.0), Point(364.0,321.0), Point(366.0,216.0)
)
b3 = CubicBezier(
  Point(366.0,216.0), Point(368.0,94.0), Point(260.0,54.0), Point(124.0,54.0)
)
path = BezierPath.fromSegments([b1,b2,b3])
path.closed = False
path.addExtremes()
path.balance()
path.translate(Point(-100.0,-100.0))

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
path.addExtremes()
path.plot(ax)
plt.show()Full documentation is available athttps://simoncozens.github.io/beziers.py/index.html
Package: bezierview
BezierViewView Bezier Curve transformation by Python.InstallpipinstallbezierviewPlayPlay Bezier Curve with pure python.importbezierviewbezierview.play()AnimationView an animated creation of pre-defined points.importbezierviewpoints=[[50,350],[250,100],[330,350],[450,100]]bezierview.animate(points)View static curveView a static plot of pre-defined points.importbezierviewpoints=[[50,350],[250,100],[330,350],[450,100]]bezierview.show(points)
Package: bezpy
BezpyBezpy is an open source library for analysis of geomagnetic (B), geoelectric (E),
and magnetotelluric impedance (Z) data within a geophysical framework.
This library contains routines for calculating the geoelectric field from the geomagnetic field in
multiple different ways.FeaturesGeomagnetic to geoelectric field calculationsIntegration of the geoelectric field along transmission linesBuilt using established, fast, open source python librariesPandas,NumPy,SciPyExamplesExample notebooks can be found innotebooks/Example scripts for command line use can be found inscripts/InstallThe easiest method to install bezpy is directly from PyPI using pip.pipinstallbezpyIf you want a local install to modify anything in the code, you
can clone the git repository and install locally with these commands.gitclonehttps://github.com/greglucas/bezpycdbezpy
pipinstall.LicenseThe code is released under the MIT licenseLicense described in LICENSE.mdReferencesThis package has been developed from different publications. Please consider citing the papers
that are relevant to the work you are doing if you are utilizing this code. The culmination of much of the work was contained in our paper
"A 100-year geoelectric hazard analysis for the U.S. high-voltage power grid."doi:10.1029/2019SW002329Lucas, G., Love, J. J., Kelbert, A., Bedrosian, P. A., & Rigler, E. J. (2020).A 100-year geoelectric hazard analysis for the U.S. high-voltage power grid.Space Weather, 18, e2019SW002329.https://doi.org/10.1029/2019SW002329Geoelectric field calculationsdoi:10.1002/2017GL076042Love, J. J., Lucas, G. M., Kelbert, A., & Bedrosian, P. A. (2018).Geoelectric hazard maps for the Mid‐Atlantic United States:100 year extreme values and the 1989 magnetic storm.Geophysical Research Letters, 44, doi:10.1002/2017GL076042.Transmission line integrationsdoi:10.1002/2017SW001779Lucas, G. M., Love, J. J., & Kelbert, A. (2018). Calculation of voltagesin electric power transmission lines during historic geomagnetic storms:An investigation using realistic earth impedances. Space Weather, 16,181–195, doi:10.1002/2017SW001779.Time domain (DTIR)doi:10.1002/2017SW001594Kelbert, A., C. C. Balch, A. Pulkkinen, G. D. Egbert,J. J. Love, E. J. Rigler, and I. Fujii (2017),Methodology for time-domain estimation of storm time geoelectric fieldsusing the 3-D magnetotelluric response tensors,Space Weather, 15, 874–894, doi:10.1002/2017SW001594.Earthscope impedance databasedoi:10.17611/DP/EMTF.1Kelbert, A., G.D. Egbert and A. Schultz (2011),IRIS DMC Data Services Products: EMTF, The Magnetotelluric Transfer Functions,doi:10.17611/DP/EMTF.1.Problems/QuestionsReport an issue using the GitHub issue trackerAdditional LinksUSGS Geomagnetism Program Home PageReal-time geoelectric field plots using bezpy
Package: bezzanlabs.treemachine
Tree Machine: An AutoML companion to fit tree models easilyThis package aims to give users a simple interface to fit tree models. Tree models are
the workhorse for tabular data and are used in many applications. Our aim is to simplify
the use, tuning and deployment of these models.AutoTreesSpecific auto-tune trees that use Bayesian optimization to select the best model overall
and the best hyperparameters for that model. The models are trained using alightgbmbackend, and the user can change the parameters to use duringfit.Can be used as a last step inside asklearn.pipelineobject.DeepTreesContinuous tree models that use gradient descent to train a deep neural network. The
model is structured usingtensorflowsyntax, and the user can change the parameters
as any othersklearnmodel.Can be used as a last step inside asklearn.pipelineobject.Installing the packageJust issue the command:python-mpipinstallbezzanlabs.treemachineThis package should work in all systems, and it was tested in Linux and MacOS.Setup for developmentTo install this package, run the following command in your terminal:makeinstallThis should proceed with the installation of all dependencies for development.AcknowledgementsThis package is part of theMBB - Model Building Blocksproject at Bezzan Labs.
The overall objective is to give users simple packages and interfaces to speed up
development of common tasks in machine learning and put better models in production.
Package: bf2fj
bf2fjABrainfucktoFlipJumpCompiler.The compiler was built to be very fast. Moreover, the flipjump programs generated by this project are generated in a way that will keep them very small, thus their compilation into an .fjm file is also fast.Download:>>> pip install bf2fjRun the compiler:>>> bf2fj hello_world.bf 
  compile bf->fj:  0.008sYou can also run the created flipjump program.>>> bf2fj hello_world.bf -r
  compile bf->fj:  0.008s
  parsing:         0.092s
  macro resolve:   0.141s
  labels resolve:  0.035s
  create binary:   0.143s
  loading memory:  0.017s
Hello World!

Finished by looping after 0.739s (337,484 ops executed; 85.36% flips, 98.88% jumps).Note that you can modify the number of brainfuck cells that'll be reserved in the flipjump file, with-c/--cells.OptimizationsThis compiler supports optimizations of the generated flipjump code.The optimizations are significant. It lowered the hello_world.bf program from 2,900,990 fj ops to 337,484 fj ops (88% faster).The major optimizations strategies:Optimize multiple data ops:+++++=>+5, and----++-=>-3.Optimize multiple pointer ops:>>>>>=>>5,<<<<>><=><3.Find zeroing loops, and replace them with*ptr = 0. If there are data-ops before it, removes them too.*ptr = 0++5=>*ptr = 5.Tests:I've gathered many brainfuck programs, and put them all inside the programs/ folder.The tests compile each of them to flipjump:>> pytest --compile-onlyYou can also run the compiled flipjump files (just omit the--compile-onlyflag), but I only added the input / expected-output files to only a portion of the tests, so it won't pass.Licenses:The programs/ folder has a collection of 3rd party brainfuck programs, taken from multiple open-source websites. Each folder under programs/ has a README.md that specifies were the brainfuck files came from, and to whom we owe the credit.
Package: bf2pico
Brewfather to PicoI am an SDK that transforms Brewfather recipes into pico brewing instructions.How to installpython -m pip install bf2picoHow to use bf2picofrom bf2pico import BrewFather

recipe = BrewFather(
    userid=userid,
    apikey=apikey
)

recipe = recipe.pico()Command Toolsrecipe- A cli to interact with brewfather recipes outputing in pico format.events- A event process that updates the brew logs for active brews.How to use a ChillerIf you want to add a chill to connect a chiller and use the Zymatic pump to run the wort through a chiller, you can do so. Add amiscingredient to your recipe with the name Chill. Set the amount to the target temperature and the time to pump at that temperature.In this screenshot, we are chilling to 70 degrees and pumping for 10 minutes after we hit our target temperature.How to WhirlpoolIf you want to add a Whirlpool hop addition, you do that by specifying the hop addition type beingAroma (Hopstand).NOTE:The Whirlpool hopsMUST BEthe last bin used.The screenshot below shows a Whirlpool for 27 minutes.Environment VariablesBF2PICO_CACHE: Default 1 minute, set the default cache timeBF2PICO_CACHE_LOCATION: Default~/.bf2picothe location for the cacheBREWFATHER_USERID: The default user_id to useBREWFATHER_APIKEY: The default api_key to useHow to install
Package: bfab
Advanced fabric deploymentsFree software: BSD licenseDocumentation:http://bfab.rtfd.org.FeaturesTODO## To use1. In your fabric fileimport bfab1. Configurebfab.ctxas required
1.fab -f scripts/fabfile.py -lto see available commandsHistory0.1.0 (2013-08-11)First release on PyPI.
Package: bfast
bfastThe bfast package provides a highly-efficient parallel implementation for theBreaks For Additive Season and Trend (BFASTmonitor)proposed by Verbesselt et al. The implementation is based onOpenCL.DocumentationSee thedocumentationfor details and examples.DependenciesThe bfast package has been tested under Python 3.*. The required Python dependencies are:numpy==1.16.3pandas==0.24.2pyopencl==2018.2.5scikit-learn==0.20.3scipy==1.2.1matplotlib==2.2.2wget==3.2Sphinx==2.2.0sphinx-bootstrap-theme==0.7.1Further,OpenCLneeds to be available.QuickstartThe package can easily be installed via pip via:pip install bfastTo install the package from the sources, first get the current stable release via:git clone https://github.com/gieseke/bfast.gitAfterwards, on Linux systems, you can install the package locally for the current user via:python setup.py install --userDisclaimerThe source code is published under the GNU General Public License (GPLv3). The authors are not responsible for any implications that stem from the use of this software.
Package: bfasta
FastA readerVery simple fastA reader.frombfastaimportFastAreaderreader=FastAreader("myFile.fa")# If you want to just read the first entry:header,seq=next(reader.readFasta())# Read all the entries# If you want to read all the entriesforheader,seqinreader.readFasta():# header and seq are now strings hereprint(header)Originally by Dr. B.
Package: bfast-ray
bfast-rayThe bfast-ray package provides a highly-efficient parallel implementation for the `Breaks For Additive Season and Trend (BFASTmonitor) proposed by Verbesselt et al. The implementation is based on RayThis package is adapted fromhttps://github.com/diku-dk/bfast, with credit to mortvest.Free software: MIT licenseDocumentation:https://benerain.github.io/bfast-rayDependencies============numpy==1.25.2pandas==2.0.3scikit-learn==1.3.0scipy==1.11.2matplotlib==3.7.2wget==3.2ray==2.6.1Input argsstart_monitor：Python 标准库中的 datetime类型的数据（用datetime库解析字符串）freq： 季节性变化的观测频次。比如，监测变量NDWI是按年度变化的，采样数据是某一天的均值，那么freq就设置为365；采样数据是某一月的均值，那么freq就设置为12k ： 谐波级数，傅立叶分解的精度hfrac： 用多少observation 来计算时间序列的 均值和方差。  moving window the比例 限制为0.25, 0.5, 1trend :  bool值， 是否使用offset值level： 监测的明显水平（和 ROC，如果选择）过程，即概率类型 I 错误。verbose： int 中间过程输不输出backend: str, 'python' or 'python-ray'address: str, e.g.:"ray://xxx.xx.xx.xx:xxxxx"ray_remote_args: dic, e.g.: {"resources": {"customResources": 1}, "batch_size":10}Outputbreaks： 数组。 -2代表 没有充分的历史数据。 -1代表该pixel没有break 。所有其他非负数据对应于第一个在监控期间检测到的中断的索引序号means： 每一个MOSUM 过程的mean值（例如考虑NDMI指数时，像素的正平均值对应于植被的增加，）timers : dict 是个字典，包含拟合过程不同阶段的运行时测量值。共三个use examplek=3freq=365trend=Falsehfrac=0.25level=0.05start_monitor=datetime(2010,1,1)model=BFASTMonitor(start_monitor,freq=freq,k=k,hfrac=hfrac,trend=trend,level=level,# backend='python',backend='python-ray',cluster_address="ray://xx.xx.xx.xx:xxxxx",ray_remote_args={"resources":{"xxxx":xx},"batch_size":1})model.fit(data,dates,nan_value=-32768)breaks=model.breaksmeans=model.meanstimers=model.timers
Package: bfbrain
BFBrainInstallation|Documentation/Tutorial|ExamplesUse active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.InstallationNote that it is highly recommended that BFBrain only be run on a machine with Tensorflow and Jax both installed with full GPU support. Once these installations are completed, install BFBrain with the command:$pipinstallbfbrainLicenseBFBrainwas created by George Wojcik. It is licensed under the terms
of the MIT license.
Package: bfchain-pc-sdk
bfchain_pc_sdk介绍bfchain_pc_sdk是在BFChain（生物链林）区块链上开箱可用的Python开发者工具包软件架构安装教程普通安装开箱使用本工具包，仅需要使用pip安装即可。pipinstallxxx开发安装贡献代码或者改善工具包的使用方式，下载/克隆源码后，需要安装相关依赖pipinstall-rrequirements.txt使用说明参与贡献特技
Package: bfd.py
Warning: bfd.py has been deprecatedPlease consider usingdiscordlists.pyinstead which is also available onPyPi.bfd.pyA simple API wrapper for botsfordiscord.com written in Python.InstallationInstall via pip (recommended)pip install bfd.pyFeaturesPOST server countAUTOMATIC server count updatingGET bot infoGET global bot listGET bot list for a specific userGET widgets urlSEARCH for botsExample Discord.py Rewrite cogimportbfdimportdiscordfromdiscord.extimportcommandsclassBotsForDiscord:def__init__(self,bot):self.bot=botself.token='token'# set this to your BFD tokenself.bfd=bfd.Client(self.bot,self.token)# Create a Client instanceself.bfd.start_loop()# Posts the server count every 30 minutes@commands.command()asyncdefbotinfo(self,ctx,bot:discord.User):# unfiltered botinfo demoinfo=awaitself.bfd.get_bot(bot.id)ifinfoisNone:awaitctx.send("Can't find this bot on BFD")returnembed=discord.Embed(title="BotInfo")forkey,valueininfo.as_dict().items():ifkey==""orvalue=="":continueembed.add_field(name=key,value=str(value))awaitctx.send(embed=embed)defsetup(bot):bot.add_cog(BotsForDiscord(bot))Discussion, Support and IssuesFor general support and discussion of this project, please join the Discord server:https://discord.gg/qyXqA7yTo check known bugs and see planned changes and features for this project, please see the GitHub issues.Found a bug we don't already have an issue for? Please report it in a new GitHub issue with as much detail as you can!
Package: bfencryption
bfencryptionA encryption tool.Simple encryptionUseencrypt(<input>, <key>)to use the simple encryption. It returns the encrypted string.Usedecrypt(<encrypted input>, <key>)to decrypt a simple encrypted string. It returns the decrypted string.Safer encryptionThis version is safer, but the encrypted string is very long.You need to specify the security level. The higher the security level,the longer the encrypted string, and it needs longer to decrypt.Security levels1 is the same as the simple encryption.The higher you go, the longer it takes to decrypt it.2 or 3 is good for the most use cases.Usesafe_encrypt(<input>, <key>, <security level>)to encrypt a string with a security level. It returns the encrypted string.Usesafe_decrypt(<encrypted input>, <key>, <security level>)to decrypt an encrypted string with a security level.The security level has to be the same as the security level used in the encryption.It returns the decrypted string.
Package: bfengine
机器人工厂引擎目录安装方式使用方式提供的功能有:创建BOT问答管理知识图谱任务引擎安装方式pip安装pipinstall-Ubfengine如果比较慢，可以使用清华的pip源：-ihttps://pypi.tuna.tsinghua.edu.cn/simple使用方式1.加载BF引擎importbf_engineresult=bf_engine.init()#加载BF引擎2.使用BF引擎importbf_engine# 机器人创建bot=bf_engine.create_bot()# 训练问答语料bot.qa.train(question_path='data/问答上传模板.xlsx',corpus_path='data/语料上传模板.xlsx')# 问答语料测试print('qa出话: '+bot.qa.query('你好').text)# 训练知识图谱语料bot.kg.train(path='data/kg-test.xlsx')# 知识图谱测试print('kg出话: '+bot.kg.query('竹间的年龄').text)# 加载任务bot.te.load(path='data/taskengine.json')# 任务出话print('te出话: '+bot.te.query('我要买火车票').text)print('te出话: '+bot.te.query('北京').text)print('te出话: '+bot.te.query('是的').text)
Package: bfet
Better Faster Easier Testing. Create Django models quickly and easly, create different data types for testing cases or create default tests filesFree software: MIT licenseDocumentation:https://bfet.readthedocs.io.User installationThe easiest way to install bfet is usingpip:pip install -U bfetSource codeYou can check the latest sources with the command:git clone https://github.com/lluc2397/BFET.gitTestingAfter installation, you can launch the test suite from outside the source
directory (you will need to havepytestinstalled):pytest bfetContributingWelcome! Happy to see you willing to make the project better. You can get started by
reading this:[Contributing: The basics](https://github.com/lluc2397/BFET/blob/main/CONTRIBUTING.rst)Change logThe log has become rather long. It moved to its own file.See [CHANGES](https://github.com/lluc2397/BFET/blob/main/HISTORY.rst).AuthorsThe author list is quite long nowadays, so it lives in its own file.See [AUTHORS.rst](./AUTHORS.rst)FeaturesTODOImprove testsAdd support for pytestCreate templates for admin.py and urls.py for DjangoSeparate files creations
Package: bffacilities
Facilities for BriFutureThese facility scripts which will mostly be written in python is for better management of myself, but if some of them are also useful for you, you can download them (either source code or install the whole package with pip) for personal usage. It will be grateful if you make some advision or want to make some improvements over these scripts.Usable CommandsAll commands that is usable can be downloaded and compiled withpip, all these commands are prefixed withbf_which may make these commands more identified.bf_broadcast: Identify which machine running the specified script through sending and recieving broadcast udp datagram.bf_gitrepo: which may simplify the creation or deletion a shared git repository on personal mini git server. you can read a blog article on how I make it by visitingmy blog website.bf_monitor: Monitor file changes, and execute prepared commands. you can read a blog article on how I make it by visitingmy blog website.For more details about these facilities, please refer the help message provided by each command with-hoption.InstallUsing pip to install these facility commands:python3 -m pip install bffacilities
or
pip install bffacilitiesUsageYou can usebfforbffacilitiesto call sub commands, for example, let's generate QtTest files from directory:## in source directorycdtestbffgqt-d../src-pTest-e"test,ui"LicenseLicense is under GPLv3.ChangeLog0.1.0: optimize utils

0.0.41: optimize network.socket 

0.0.40: move socket server and bluetooth into network, remove _globals

0.0.35: optimize scripts in torch folder

0.0.34: fix database error

0.0.33: move logger from utils to avoid log too much content

0.0.32: update with pyupdator

0.0.22: socket server has been improved a lot, interface has changed

v0.0.20 add bluetooth manager for bluetooth device list and connect

v0.0.19 some updates on generateQtTest and torch scripts

0.0.17: scripts in `myscripts` folder could add more scripts
without change main.py file.

0.0.13: add torch scripts and labelme scripts for MachineLearing data processing or model building.

0.0.7: add simple tcp socket server

0.0.6: add common flask functions