Saravanan666/pypi-org huggingface dataset:
Package: borgweb
What is BorgWeb?BorgWeb is a browser-based user interface forBorg Backup.The UI is intended to help with everyday tasks, it is not intended as a full UI to everything borg can do.You’ll need help of an admin to install and configure it, as well as to restore backups.Main featuresBorgWeb (the web service) usually runs on the machine that is backed up with
BorgBackup. You can use a web browser to access BorgWeb from the same
machine or from another machine.BorgWeb can operate using a builtin web server or as WSGI app using an
external web server (like e.g. apache + mod_wsgi).using the web browser you can:review backup log filesstart a backupLinksMain Web SitePyPI packagesGithubIssue TrackerNotesNOT RELEASED DEVELOPMENT VERSIONS HAVE UNKNOWN COMPATIBILITY PROPERTIES.THIS IS SOFTWARE IN DEVELOPMENT, DECIDE YOURSELF WHETHER IT FITS YOUR NEEDS.Please also see theLICENSEfor more information.
Package: borica
[![Build Status](https://travis-ci.org/IOEra/borica.svg?maxAge=0&branch=master)](https://travis-ci.org/IOEra/borica)
[![Coverage Status](https://coveralls.io/repos/github/IOEra/borica/badge.svg?maxAge=0&branch=master)](https://coveralls.io/github/IOEra/borica?branch=master)# BoricaLow-level Python integration for Borica payment gateway.## UsageTODO
Package: borica-py
borica-pyPython package for integrating borica-based online payments.Usageimportboricaborica.configure({'TERMINAL':'TERMINAL VALUE','MERCHANT':'MERCHANT VALUE','DEV_PEM':'/path/to/certificate/dev.pem','DEV_APGW_PEM':'/path/to/certificate/apgw_dev.pem','DEV_URL':'https://gateway.borica.bg/example-url'})
Package: boring
BoringA simpleHTTPwebserver forWSGIcompatible web app,
support any wsgi web framework , django,flask, bottle and others. It is fairly fast .........installationboring has no dependency except python standard library, so it can be installed by cloning this repository , then run python setup.py install , or install frompypiwithpip install boring.Starting the serverboring myapp:apporpython -m boring myapp:appAssuming there is myapp.py in the current directory and and a callable objectappin myapp.py.Using with djangoboring yourproject.wsgiorpython -m boring yourproject.wsgiyou can serve current directory on http instead of web app, withboring ., the current directory will be served on httpCommand Line Optionsusage: boring [-h] [-p PORT] [--reload] [-b BIND] [--use-config] [-v] app

positional arguments:
  app                   wsgi app to load

optional arguments:
  -h, --help            show this help message and exit

  -p PORT, --port PORT  port number to use, default 8000

  --reload              enable auto reload

  -b BIND, --bind BIND  bind to this address

   --use-config          use configuration for boring

  -v, --version         show program's version number and exitServing Static Filesboring can be configured to serve static files (js,css,images and others). to serve static files ,create a fileboring.configand add the following to the config fileSTATIC_URL=url # url for serving files eg /static/ for django and othersSTATIC_ROOT=path  # folder where to find static filesthen add--use-configto the command line argument when starting the serverBoring In Actiontest-boring.herokuapp.com, is flask webapp copied frommiguelgrinberg blogrunning boring as http serverfirdawss.herokuapp.coma django powered site running boring as the webserver
Package: boringavatars
Boring Avatarsboringavatars is a Python port of theboring-avatarsJS library.Installpip install boringavatarsUsagefromboringavatarsimportavatar# returns the string corresponding to the generated SVGavatar("Maria Mitchell",variant="marble",colors=["92A1C6","146A7C","F0AB3D","C271B4","C20D90"],title=False,size=40,square=True,)LicenseMIT
Package: boringit
BoringitFerramenta de linha de comando, escrita em python, cuja finalidade é abstrair a rotina de uso dos comandos git.Instalaçãopip install boringitComo utilizari) A partir de um projeto existente e de repositórios remotos vazios:Crie o arquivo remotes.yml:remote_1:
    name: "gitlab"
    url: git@gitlab.com:marcusmello/boringit

remote_2:
    name: "github"
    url: git@github.com:marcusmello/boringitRode os comandos:boringit init  
boringit add_remotes(opcional) Faça o checkout para criar uma branch de trabalhogit checkout -b  <your_work-branch>Trabalhe normalmente nos aquivos do projetoPara add, commitar e dar push para os remotos:boringit acpReleases[0.1.0.dev] - 2020-06-12Esta versão requer que o desenvolvedor tenha acesso ssh aos repositórios remotos, além de ter de criar manualmente o arquivo "remotes.yml".Plano de refactoringSuportar o input de usuário e senha dos servidores remotos, a fim de permitir um tracking via https;Gerar automaticamente o "remotes.yml", caso não exista, a partir de inputs do usuário;Lidar melhor com outros cenários de init, como repositório não vazios (locais ou remotos);Estudar a possibilidade de adoção da bibliotecaGitPython, ou mesmo abandono da boringit se eu me entender bem com a GitPython.
Package: boringmd
boringmdboringmdis a Python package and command line tool for extracting plain text and front matter from Markdown.Installationboringmdrequires Python 3.8 or later.pipinstallboringmdCommand linePass the filename of a Markdown document to extract its plain text content:boringmdinput.mdTo extract the front matter only, include the--front-matterflag:boringmdinput.md--front-matterboringmdprints to stdout. To write the extraction to a file, redirect it:boringmdinput.md>output.txtPackagefromboringmdimportfront_matter_from_string,text_from_stringmarkdown="---\nfoo: bar\n---\n**foo** and _bar_"print(text_from_string(markdown))# foo and barprint(front_matter_from_string(markdown))# foo: barfrompathlibimportPathfromboringmdimportfront_matter_from_file,text_from_fileprint(text_from_file(Path("input.md")))print(front_matter_from_file(Path("input.md")))Related packagesboringmdusescariad/lstrto manipulate strings.Thank you! 🎉My name isCariad, and I'm anindependent freelance DevOps engineer.I'd love to spend more time working on projects like this, but--as a freelancer--my income is sporadic and I need to chase gigs that pay the rent.If this project has value to you, please consider☕️ sponsoringme. Sponsorships grant me time to work onyourwants rather thansomeone else's.Thank you! ❤️
Package: borisat
borisata python library for retrieving company public data in thailand. It has its own public database for caching, so, it is really fast, smart, and save lot of time and energy.Get Startedpipinstallborisatimportborisata_valid_tax_id=tax_id='0105558096348'ifborisat.is_exist(tax_id):company=borisat.get_info(tax_id=tax_id)print(company)# NID='0105558096348' title_name='บริษัท' name='โฟลว์แอคเคาท์ จำกัด' surname='-' branch_name='โฟลว์แอคเคาท์ จำกัด' branch_number=0 branch_title_name='บริษัท' business_first_date='2016/04/07' building_name='ชุดสกุลไทย สุรวงศ์ ทาวเวอร์' floor_number='11' room_number='12B' village_name='-' house_number='141/12' moo_number='-' soi_name='-' street_name='สุรวงศ์' thambol='สุริยวงศ์' amphur='บางรัก' province='กรุงเทพมหานคร' post_code='10500'another_valid_tax_id=tax_id="0994000160097"company=borisat.get_info(tax_id=tax_id)print(company)# NID='0994000160097' title_name='มหาวิทยาลัย' name='เทคโนโลยีพระจอมเกล้าธนบุรี' surname='-' branch_name='กลุ่มงานส่งเสริมและบริการวิจัย' branch_number=0 branch_title_name='-' business_first_date='2013/09/17' building_name='สำนักงานอธิการบดี' floor_number='-' room_number='-' village_name='-' house_number='126' moo_number='-' soi_name='-' street_name='ประชาอุทิศ' thambol='บางมด' amphur='ทุ่งครุ' province='กรุงเทพมหานคร' post_code='10140'Why it is the way it is?the government public api is obsolete, doc is unclear and this is 2020, and it is SOAP api. OMG. thus, we need some kinds of modern interface.retriving data from the government public api is F**king slow in the business hours. thus, we need some kinds of cache. a public one where who use this lib could enjoy.A public cache?There is no such thing as a public cache/database. There is a close thing.Public Google BigQuerySmart contact. Blockchainbeing a cache key value access is so critical. if you use BigQuery to query for a single row, since it is a column-based db in will cost a lot when your database get bigger, very costly. and to let other have your write-only key to the database is nut.on surface Blockchain seems legit. there is a mapping data type on solidity. Wow, this might be a way to go. I took my word back when I saw a blog,No, you don’t store data on the blockchain – here’s why1MB for 700 Dollars, holy cow! I knows that there isa hashgraph blockchain. the price is great, but there is no official python support + the unofficial is 2 years old of unmaintain.ok then, my last combo would be create a cache serverless api + store on a serverless database which I pay myself and let the lib call my fast api first, if there is no data, call the gov server, then lib call my api to store the cache. open source everything that is my experiment.RoadmapSee project board
Package: boris-behav-obs
BORIS is an easy-to-use event logging software for video/audio coding or live observations.BORIS is a free and open-source software available for GNU/Linux and Windows.
You can not longer run BORIS natively on MacOS (since v.8). Some alternatives to run the last version of BORIS are available, seeBORIS on MacOS.It provides also some analysis tools like time budget and some plotting functions.The BORIS paper has more than1400 citations in peer-reviewed scientific publications.Seehttp://www.boris.unito.itDocumentationThe documentation provides a good starting point for learning how to use BORIS:http://boris.readthedocs.io/Some video tutorials are available:http://www.boris.unito.it/pages/video_tutorials.htmlBug reports and feature requestsTo search for bugs, report them or request a feature, please use the github tracker:https://github.com/olivierfriard/BORIS/issuesCiting BORISPlease acknowledge and cite the use of this software and its authors when
results are used in publications or published elsewhere. You can use the
following BibTex entry@article {MEE3:MEE312584,
author = {Friard, Olivier and Gamba, Marco},
title = {BORIS: a free, versatile open-source event-logging software for video/audio coding and live observations},
journal = {Methods in Ecology and Evolution},
issn = {2041-210X},
url = {http://dx.doi.org/10.1111/2041-210X.12584},
doi = {10.1111/2041-210X.12584},
pages = {1324--1330},
keywords = {behavioural analysis, behaviour coding, coding scheme, ethology, observational data, ttime-budget},
year = {2016},
}You can also send us a nice postcard! See theuser testimonialsLicenceThis program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.Distributed with aGPL v.3 licenseCopyright (C) 2012-2023 Olivier Friard
Package: boris-spider
boris-spiderboris-spider是一款使用Python语言编写的爬虫框架，于多年的爬虫业务中不断磨合而诞生，相比于scrapy，该框架更易上手，且又满足复杂的需求，支持分布式及批次采集。官方文档：https://spider-doc.readthedocs.io爬虫开发的一些经验分享：https://mp.weixin.qq.com/s/cIUNatRCUtlAi0HAkbmcwA特性1. 支持周期性采集周期性抓取是爬虫中常见的需求，如每日抓取一次商品的销量等，我们把每个周期称为一个批次。这类爬虫，普遍做法是设置个定时任务，每天启动一次。但你有没有想过，若由于某种原因，定时任务启动程序时没启动起来怎么办？比如服务器资源不够了，启动起来直接被kill了。另外如何保证每条数据在每个批次内都得以更新呢？本框架支持批次采集，引入了批次表的概念，详细记录了每一批次的抓取状态2. 支持分布式面对海量的数据，分布式采集必不可少的，本框架原生支持分布式，且可随时重启爬虫，任务不丢失3. 完善的报警机制为了保证数据的全量性、准确性、时效性，本框架内置报警机制，有了这些报警，我们可以实时掌握爬虫状态框架流程图模块说明：spider框架调度核心parser_control模版控制器，负责调度parsercollector任务收集器，负责从任务队里中批量取任务到内存，以缓冲对任务队列数据库的访问频率及并发量parser数据解析器start_request 初始任务下发函数item_buffer数据缓冲队列，批量将数据存储到数据库中request_buffer请求任务缓冲队列，批量将请求任务存储到任务队列中request数据下载器，封装了requests，用于从互联网上下载数据response数据返回体，封装了response, 支持xpath、css、re等解析方式。自动处理中文乱码流程说明spider调度start_request生产任务start_request下发任务到request_buffer中spider调度request_buffer批量将任务存储到任务队列数据库中spider调度collector从任务队列中批量获取任务到内存队列spider调度parser_control从collector的内存队列中获取任务parser_control调度request请求数据request请求与下载数据request将下载后的数据给response，进一步封装将封装好的response返回给parser_control（图示为多个parser_control，表示多线程）parser_control调度对应的parser，解析返回的response（图示多组parser表示不同的网站解析器）parser_control将parser解析到的数据item及新产生的request分发到item_buffer与request_bufferspider调度item_buffer与request_buffer将数据批量入库环境要求：Python 3.6.0+Works on Linux, Windows, macOS安装From PyPi:pip3 install boris-spiderFrom Git:pip3 install git+https://github.com/Boris-code/boris-spider.git快速上手创建爬虫spider create -p first_spider创建后的爬虫代码如下：import spider


class FirstSpider(spider.SingleSpider):
    def start_requests(self, *args, **kws):
        yield spider.Request("https://www.baidu.com")

    def parser(self, request, response):
        # print(response.text)
        print(response.xpath('//input[@type="submit"]/@value').extract_first())


if __name__ == "__main__":
    FirstSpider().start()直接运行，打印如下：Thread-2|2020-05-19 18:23:41,128|request.py|get_response|line:283|DEBUG| 
                -------------- FirstSpider.parser request for ----------------
                url  = https://www.baidu.com
                method = GET
                body = {'timeout': 22, 'stream': True, 'verify': False, 'headers': {'User-Agent': 'Mozilla/5.0 (Windows NT 4.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36'}}

百度一下
Thread-2|2020-05-19 18:23:41,727|parser_control.py|run|line:415|INFO| parser 等待任务 ...
FirstSpider|2020-05-19 18:23:44,735|single_spider.py|run|line:83|DEBUG| 无任务，爬虫结束福利框架内的utils/tools.py模块下积累了作者多年的工具类函数，种类达到100+，且之后还会不定期更新，具有搬砖价值!学习交流想了解更多框架使用详情，可访问官方文档：https://spider-doc.readthedocs.io如学习中遇到问题，可加下面的QQ群群号:750614606知识星球：星球会不定时分享爬虫技术干货，涉及的领域包括但不限于js逆向技巧、爬虫框架刨析、爬虫技术分享等
Package: boristool
This is my fork of Chris Miles excellent eddie-tool which is a system and network monitoring, security, and performance analysis agent written in Python (https://pypi.python.org/pypi/EDDIE-Tool).It uses the eddie-tool core rewritten to work with both Python 2.7 and 3.4+. I plan to redevelop the platform specific plug-ins using psutil which did not exist when eddie-tool was released.
Package: bork
borkA frontend for building and releasingPEP 517compliant projects, including support for generating aZipApp.Includes a basic task runner, in the form ofbork run <task name>. Tasks
are defined in yourpyproject.tomlfile.Bork requires Python 3.8 or newer.Installation$ pip3 install borkOr downloadthe latest zipapp
releasesUsageExample usage information is provided below. Additional documentation can be found atbork.readthedocs.io.Downloading Existing BuildsTo download a release from GitHub:$ bork download gh:duckinator/emanate # download latest .pyz for Emanate
$ bork download gh:duckinator/emanate --directory bin/ # put files in ./bin
$ bork download gh:ppb/pursuedpybear --files '*.tar.gz' # download latest .tar.gz fileTo download a wheel from a PyPi release:$ bork download pypi:emanate 6.0.0 --files '*.whl'To download a wheel from a release on PyPi's test instance:$ bork download testpypi:whaledo 1.0.1 --files '*.whl'Building and ReleasingAssuming a project is PEP 517 compliant, you can just do:$ bork clean # Remove anything in build/, dist/, *.egg-info/
$ bork build # Build the project
$ bork release # Release to PyPIZipApp SupportIf you want to build a ZipApp, add this to your pyproject.toml:[tool.bork.zipapp]
enabled = true
main = "<entrypoint>"Where<entrypoint>is of the form "module.submodule:function", and
may be equivalent to aconsole_scriptentrypoint in setup.cfg.NOTE: ZipApps will only be compressed when using Python 3.7 and later. This means ZipApps created with older versions may be significantly larger.Uploading To GitHub ReleasesIf you want to upload assets to GitHub Releases, you can
add the following configuration to your pyproject.toml:[project]
name = "<project name>"

[tool.bork.release]
# If true, release to PyPi; otherwise, don't.
pypi = true
# If true, release to GitHub; otherwise, don't.
github = true # release to GitHub
# GitHub repository, e.g. "duckinator/bork".
github_repository = "<owner>/<repo>"
# List of file globs to include in GitHub Releases.
github_release_globs = ["dist/*.pyz", "dist/*.whl"]
# If true, zipapps are named "<name>.pyz", otherwise "<name>-<version>.pyz".
strip_zipapp_version = trueAliases (Basic task runner)Bork includes a very basic task runner, for single-line commands.As an example, here is what Bork uses:[tool.bork.aliases]lint=["pylint bork tests","mypy bork",]# Runs all tests.test="pytest --verbose"# Runs fast tests.test-fast="pytest --verbose -m 'not slow'"# Runs slow tests.test-slow="pytest --verbose -m slow"# Build docsdocs="mkdocs build"Then you can runbork aliasesto get the list of aliases:~/bork$ bork aliases
lint
test
test-fast
test-slow
~/bork$And runbork run <alias>to run that alias:~/bork$ bork run docs
mkdocs build
INFO     -  Cleaning site directory
INFO     -  Building documentation to directory: /usr/home/puppy/bork/site
INFO     -  Documentation built in 0.25 seconds
~/bork$ContributingBug reports and pull requests are welcome on GitHub athttps://github.com/duckinator/bork. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to thecode of conduct.The code for Bork is available under theMIT License.
Package: bornly
BornlySeaborn-like API for interactive plotly visualisationsInstallationNote: the$is not part of the command:$pipinstall-UbornlyExamplesLineplotimportbornlyasbnsfmri=bns.load_dataset("fmri")ax=bns.lineplot(data=fmri,x="timepoint",y="signal",hue="event")ax.figureBarplotimportbornlyasbnstips=bns.load_dataset("tips")ax=bns.barplot(x="day",y="total_bill",data=tips,hue="time")ax.figureScatterplotimportbornlyasbnsdiamonds=bns.load_dataset("diamonds")ax=bns.scatterplot(x="carat",y="price",hue="clarity",size="depth",palette="ch:r=-.2,d=.3_r",sizes=(1,8),data=diamonds,)ax.figureKdeplotimportbornlyasbnsiris=bns.load_dataset("iris")ax=bns.kdeplot(data=iris)ax.figurefromstringimportascii_lettersimportnumpyasnpimportpandasaspdimportbornlyasbnsimportmatplotlib.pyplotasplt# Generate a large random datasetrs=np.random.RandomState(33)d=pd.DataFrame(data=rs.normal(size=(100,26)),columns=list(ascii_letters[26:]))# Compute the correlation matrixcorr=d.corr()# Generate a mask for the upper trianglemask=np.triu(np.ones_like(corr,dtype=bool))# Generate a custom diverging colormapcmap=bns.diverging_palette(230,20,as_cmap=True)# Draw the heatmap with the mask and correct aspect ratioax=bns.heatmap(corr,mask=mask,cmap=cmap,vmax=0.3,center=0)ax.figurePairplotimportbornlyasbnspenguins=bns.load_dataset("penguins")bns.pairplot(penguins,hue="species")Histplotimportbornlyasbnspenguins=bns.load_dataset("penguins")ax=bns.histplot(data=penguins,x="flipper_length_mm",hue="species")ax.figure
Package: borsar
Various tools, objects and functions for EEG/MEG data analysis and visualisation. Some functionality that is available here may
be later moved tomne-python.borsarincludes:PSDobject for manipulation of power spectral resultsClustersobject for storage, manipulation and plotting of clutser-based results, both in channel and sourcee spaceefficient regression for multichannel data (compute_regression_t)cluster_based_regressionto perform regression tests in cluster-based permutation frameworknumpy and numba implementations of cluster-based permutation tests in 3d space (for example inchannels x frequency x timespace) with optional filtering by minimum number of adjacent channels (min_adj_ch, equivalent ofminnbchanin fieldtrip).Topoobject for topomap plots that retains the topomap state, allows to mark channels, efficiently update data, change contour line width and style for one or multiple topomaps.Installationborsaris not yet released onPyPIso to install you have to download it from GitHub using pip in the following way:pip install git+https://github.com/mmagnuski/borsaror, if you plan to frequently update the dev version and contribute toborsar, install by cloning the repo with
git and installing in dev mode:cd where_you_want_to_download_borsar
git clone https://github.com/mmagnuski/borsar
cd borsar
python setup.py developboth methods require you to havegitinstalled.DocumentationGo to theonline documentationfor more information about usage examples or full API docs.
:construction: be warned that documentation is under contstruction :construction:
Package: borscht
BorschtThe Python Module of The Japanese sentence generator by Markov chain.DescriptionThe Python Module of The Japanese sentence generator by Markov chain.Do you want to generate text by Markov chain?
It's quite easy! Just copy the example below.DocumentationRequirementIf you want to run this module, please install these:Python 3.xMeCab -http://taku910.github.io/mecab/mecab-python3 (Python Module)Recommendation:We recommend that you use this MeCab dictionary,mecab-ipadic-NEologdIf you want detailed information about how to install MeCab andmecab-ipadic-NEologd,
please see this post. (written in Japanese):https://qiita.com/taroc/items/b9afd914432da08dafc8Example Usage# Import borscht.importborschtasbor# Text used for chain generation of Markov chaintext="""親譲りの無鉄砲で小供の時から損ばかりしている。小学校に居る時分学校の二階から飛び降りて一週間ほど腰を抜かした事がある。なぜそんな無闇をしたと聞く人があるかも知れぬ。別段深い理由でもない。新築の二階から首を出していたら、同級生の一人が冗談に、いくら威張っても、そこから飛び降りる事は出来まい。弱虫やーい。と囃したからである。小使に負ぶさって帰って来た時、おやじが大きな眼をして二階ぐらいから飛び降りて腰を抜かす奴があるかと云ったから、この次は抜かさずに飛んで見せますと答えた。親類のものから西洋製のナイフを貰って奇麗な刃を日に翳して、友達に見せていたら、一人が光る事は光るが切れそうもないと云った。切れぬ事があるか、何でも切ってみせると受け合った。そんなら君の指を切ってみろと注文したから、何だ指ぐらいこの通りだと右の手の親指の甲をはすに切り込んだ。幸ナイフが小さいのと、親指の骨が堅かったので、今だに親指は手に付いている。しかし創痕は死ぬまで消えぬ。庭を東へ二十歩に行き尽すと、南上がりにいささかばかりの菜園があって、真中に栗の木が一本立っている。これは命より大事な栗だ。実の熟する時分は起き抜けに背戸を出て落ちた奴を拾ってきて、学校で食う。菜園の西側が山城屋という質屋の庭続きで、この質屋に勘太郎という十三四の倅が居た。勘太郎は無論弱虫である。弱虫の癖に四つ目垣を乗りこえて、栗を盗みにくる。ある日の夕方折戸の蔭に隠れて、とうとう勘太郎を捕まえてやった。その時勘太郎は逃げ路を失って、一生懸命に飛びかかってきた。向うは二つばかり年上である。弱虫だが力は強い。鉢の開いた頭を、こっちの胸へ宛ててぐいぐい押した拍子に、勘太郎の頭がすべって、おれの袷の袖の中にはいった。邪魔になって手が使えぬから、無暗に手を振ったら、袖の中にある勘太郎の頭が、右左へぐらぐら靡いた。しまいに苦しがって袖の中から、おれの二の腕へ食い付いた。痛かったから勘太郎を垣根へ押しつけておいて、足搦をかけて向うへ倒してやった。山城屋の地面は菜園より六尺がた低い。勘太郎は四つ目垣を半分崩して、自分の領分へ真逆様に落ちて、ぐうと云った。勘太郎が落ちるときに、おれの袷の片袖がもげて、急に手が自由になった。その晩母が山城屋に詫びに行ったついでに袷の片袖も取り返して来た。この外いたずらは大分やった。大工の兼公と肴屋の角をつれて、茂作の人参畠をあらした事がある。人参の芽が出揃わぬ処へ藁が一面に敷いてあったから、その上で三人が半日相撲をとりつづけに取ったら、人参がみんな踏みつぶされてしまった。古川の持っている田圃の井戸を埋めて尻を持ち込まれた事もある。太い孟宗の節を抜いて、深く埋めた中から水が湧き出て、そこいらの稲にみずがかかる仕掛であった。その時分はどんな仕掛か知らぬから、石や棒ちぎれをぎゅうぎゅう井戸の中へ挿し込んで、水が出なくなったのを見届けて、うちへ帰って飯を食っていたら、古川が真赤になって怒鳴り込んで来た。たしか罰金を出して済んだようである。"""# 夏目漱石 「坊っちゃん」よりcg=bor.ChainGenerator(text)# Generate instance of class that generates chainscg.dump("./chain.json")# Dump json file written about chains' info.tg=bor.TextGenerator("./chain.json")# Generate instance of class that generates sentence.foriinrange(10):sentence=tg.generate()# Generate sentenceprint(tg.generate())InstallationIt's quite simple using pip command:$pipinstallborschtContributionFork it (https://github.com/yu-san-19/Borscht)Create your feature branch (git checkout -b feature/<your-new-feature>)Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin feature/<your-new-feature>)Create new Pull RequestLicenseThis repository licensed under theMIT.Please see theLICENSEfile.AuthorYuSan19and otherContributors.
Package: borsdata-sdk
Borsdata python SKDunofficialpython SDK for theBörsdata API,detailed docs.Installpip install borsdata-sdkUsageA simple example can be foundhere.fromborsdata_sdkimportBorsdataAPIborsdata=BorsdataAPI('<api_key>')# Instrument Metamarkets=borsdata.get_markets()branches=borsdata.get_branches()sectors=borsdata.get_sectors()countries=borsdata.get_countries()translations=borsdata.get_translation_meta_data()# Instrumentsinstruments=borsdata.get_instruments()instruments=borsdata.get_instruments_by_market(markets=[1,2])updates=borsdata.get_instruments_updated()# KPIs# In progress# StockPricesentries=borsdata.get_instrument_stock_price(3)entries_from_to=borsdata.get_instrument_stock_price(3,'2009-04-22','2009-04-25')updates=borsdata.get_instrument_stock_price_last()updates=borsdata.get_instruments_stock_prices_by_date("2021-04-20")# Reportsyearly_reports=borsdata.get_instrument_reports(3,'year')r12s=borsdata.get_instrument_reports(3,'r12')quarters=borsdata.get_instrument_reports(3,'quarter')all_reports=borsdata.get_all_instrument_reports(77)meta=borsdata.api.get_instruments_reports_meta_data()# StockSplitssplits=borsdata.api.get_stock_splits()