Saravanan666/pypi-org huggingface dataset:
Package: banduppy
BandUP: Band Unfolding code for Plane-wave based calculationsBandUPpy - Python version of BandUP (not to be confused with bandupy - the interface and plotting tool of BandUP)This is a python version to the BandUP code, made in order to restore
support of the modern versions of QuantumEspresso and other codes. In order ot read the wavefunctions
stored by abiinitio codes, the routines of irrepirrepare used.If you find BandUPpy useful, but missing any important part of the functionality of the original bandUP code,
please let me know.Author of BandUPpy : Stepan S. Tsirkin, University of Zurich,stepan.tsirkin@uzh.chAuthors of original BandUP :Paulo V. C. Medeiros, Linköping University, (at present: SMHI, the Swedish Meteorological and Hydrological Institute)Jonas Björk, Linköping UniversityStepan S. Tsirkin, (in 2015: Donostia International Physics Center)please refer tohttp://www.ifm.liu.se/theomod/compphys/band-unfoldinghttps://github.com/band-unfolding/bandupBandUPpy is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.BandUPpy 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.You should have received a copy of the GNU General Public License
along with BandUP.  If not, seehttp://www.gnu.org/licenses/.Plane-wave codes currently supported by BandUPpyAt the moment, BandUP can parse wavefunctions generated by:VASPQuantum ESPRESSOABINITany code that has interface toWannier90(via reading the UNK* and *.eig files)Plane-wave codes currently supported by original BandUP:At the moment, BandUP can parse wavefunctions generated by:VASPQuantum ESPRESSO(issues arise with new versions)ABINITCASTEP(use the main code of BandUP, not the bandupy)
(tested with the academic version; currently only
available on request)Publications:If you use BandUPpy  in
your work, you should:State EXPLICITLY that you've used the BandUP code(or a modified version of it, if this is the case).Read and cite the following papers(and the appropriate
references therein):Paulo V. C. Medeiros, Sven Stafström, and Jonas Björk,Phys. Rev. B89, 041407(R) (2014)Paulo V. C. Medeiros, Stepan S. Tsirkin, Sven Stafström, and Jonas Björk,Phys. Rev. B91, 041116(R) (2015)if you use BandUPpy,  please also citeMikel Iraola, Juan L. Mañes, Barry Bradlyn, Titus Neupert, Maia G. Vergniory, Stepan S. Tsirkin
"IrRep: symmetry eigenvalues and irreducible representations of ab initio band structures",arXiv:2009.01764An appropriate way of acknowledging the use of BandUP in your
publications would be, for instance, adding a sentence like:"The unfolding has been performed using the BandUP code"followed by the citation to our papers.
Package: bandupy
BandUP: Band Unfolding code for Plane-wave based calculationsThis is a python interface to the bandUP code. It is under development,
but you may use it on your own risk.please refer tohttp://www.ifm.liu.se/theomod/compphys/band-unfoldinghttps://github.com/band-unfolding/bandupBandUP is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.BandUP 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.You should have received a copy of the GNU General Public License
along with BandUP.  If not, seehttp://www.gnu.org/licenses/.Currently supported plane-wave codesAt the moment, BandUP can parse wavefunctions generated by:VASPQuantum ESPRESSOABINITany code that has interface toWannier90CASTEP(use the main code of BandUP, not the bandupy)
(tested with the academic version; currently only
available on request)Publications:If you use BandUP (or any part or modified version of it) in
your work, you should:State EXPLICITLY that you've used the BandUP code(or a modified version of it, if this is the case).Read and cite the following papers(and the appropriate
references therein):Paulo V. C. Medeiros, Sven Stafström, and Jonas Björk,Phys. Rev. B89, 041407(R) (2014)Paulo V. C. Medeiros, Stepan S. Tsirkin, Sven Stafström, and Jonas Björk,Phys. Rev. B91, 041116(R) (2015)if you use bandupy, that uses functionality implemented
in theirrepcode, please also citeMikel Iraola, Juan L. Mañes, Barry Bradlyn, Titus Neupert, Maia G. Vergniory, Stepan S. Tsirkin
"IrRep: symmetry eigenvalues and irreducible representations of ab initio band structures",arXiv:2009.01764An appropriate way of acknowledging the use of BandUP in your
publications would be, for instance, adding a sentence like:"The unfolding has been performed using the BandUP code"followed by the citation to our papers.A constantly growing list ofpublications using BandUPis available athttp://www.ifm.liu.se/theomod/compphys/band-unfolding/publications
Package: bandwagon
Bandwagon (full documentationhere) is a Python library to predict and plot migration patterns
from DNA digestions. It supports hundreds of different enzymes (thanks to BioPython),
single- and multiple-enzymes digestions, and custom ladders.It uses Matplotlib to produce plots like this one:InfosPIP installation:pipinstallbandwagonWeb documentation:https://edinburgh-genome-foundry.github.io/bandwagon/Github Pagehttps://github.com/Edinburgh-Genome-Foundry/bandwagonLive demohttps://cuba.genomefoundry.org/predict-digestionsLicense:MIT, Copyright Edinburgh Genome FoundryMore biology softwareBandwagon is part of theEGF Codonssynthetic biology software suite for DNA design, manufacturing and validation.
Package: bandwidth-cli
Bandwidth Subscriptions CLI ToolThis tool presents a CLI interface allowing you to manage Bandwidth webhook subscriptions with the Bandwidth API.(Seehttps://dev.bandwidth.com/docs/account/subscriptions)Requires Python 3.7+This tool depends upon the following environment variables to be set:
- bandwidth_account_id=
- bandwidth_password=
- bandwidth_site_id=
- bandwidth_url=https://dashboard.bandwidth.com/api- bandwidth_username=Usage:- pip install bandwidth_cli
- set env vars above
- bandwidth_cli --help
Package: bandwidth-monitor
bandwidth-monitorA wrapper forspeedtest.netto get time-series data on local bandwidth
availability.As a default, the scheduler will run hourly at the top of the hour and store
output in a localsqlite3database namedbandwidth.db.Inspired by@jsphWllng’s article“Monitor your internet with python”.Usage$pipinstall--usergit+https://github.com/mburszley/bandwidth-monitor.git@main#egg=bandwidth-monitor$python-mbandwidth_monitor
Package: bandwitch
BandWitch is a Python library for the planning and analysis of restriction
experiments in DNA assembly operations. BandWitch implements method to select
the best enzyme(s) to validate or identify DNA assemblies. It also provides
report generation methods to automatically validate/identify assemblies from
experimental data.You can try BandWitch’s enzyme suggestion feature inthis web demo,
and the sequence validation (from AATI fragment analyzer files) inthis other demoInfosPIP installation:pipinstallbandwitchWeb documentation:https://edinburgh-genome-foundry.github.io/BandWitch/Github Page:https://github.com/Edinburgh-Genome-Foundry/BandWitchLive demo:Enzyme suggestion:http://cuba.genomefoundry.org/digestion-selectorFragment analysis validation:http://cuba.genomefoundry.org/analyze-digestsLicense:MIT, Copyright Edinburgh Genome FoundryScreenshotsEnzymes selected by bandwitch to obtainclear, optimalpatterns for all tested DNA constructs:Enzymes selected by bandwitch to obtainsignificant differencesbetween the patterns of the tested constructs, so that a construct can be identified by its pattern:More biology softwareBandWitch is part of theEGF Codonssynthetic biology software suite for DNA design, manufacturing and validation.
Package: bang
The beginning of the universe…OverviewBang automates deployment of server-based software projects.Projects often comprise multiple servers of varying roles and in varying
locations (e.g. traditional server room, cloud provider, multi-datacenter),
public cloud resources like storagebucketsand message queues and other
IaaS/PaaS/Splat_aaS resources.  DevOps teams already use several configuration
management tools like Ansible, Salt Stack, Puppet and Chef to automate
on-server configuration.  There are also cloud resourceorchestrationtools
like CloudFormation and Orchestra/Juju that can be used to automate cloud
resource provisioning.  Bang combines orchestration with on-server
configuration management to provide one-shot, automated deployment of entire
projectstacks.Bang instantiates cloud resources (e.g. AWS EC2/OpenStack Nova server
instances), then leveragesAnsiblefor
configuration of all servers whether they are in a server room in the office,
across the country in a private datacenter, or hosted by a public cloud
provider.Read thelatest online documentationor
browse throughexamples of stack configurations and playbooks.
Package: bangla
Bangla is a package for Bangla language users with various functionalities including Bangla date and Bangla numeric conversation.It can be used to get Bangla date that includes year, month, date, weekday and season of Bangla year.
Bangla has used the rules from Wikipediahttps://en.wikipedia.org/wiki/Bengali_calendarsto convert
Gregorian date to Bangla date. It is based on the revised version of the Bengali calendar which was officially adopted in Bangladesh in 1987.
Among the Bengali community in India, the provided date may differ.Moreover, this package has also a method to convert English numeric string to Bangla numeric string.This software can be used on Linux/Unix, Mac OS and Windows systems.FeaturesGet Bangla date that includes:Bangla Date (১-৩১)Bangla Month (“বৈশাখ”, “জ্যৈষ্ঠ”, “আষাঢ়”, “শ্রাবণ”, “ভাদ্র”, “আশ্বিন”, “কার্তিক”, “অগ্রহায়ণ”, “পৌষ”, “মাঘ”, “ফাল্গুন”, “চৈত্র”)Bangla Year (১৯৮৭ - )Bangla Season (“গ্রীষ্ম”, “বর্ষা”, “শরৎ”, “হেমন্ত”, “শীত”, “বসন্ত”)Bangla Weekday (“শনিবার”, “রবিবার”, “সোমবার”, “মঙ্গলবার”, “বুধবার”, “বৃহস্পতিবার”, “শুক্রবার”)Convert English numeric string to Bangla numeric string (123456 -> ১২৩৪৫৬).InstallationWe recommend installbanglathrough pip install using Python 3.$pipinstallbanglaExampleTo get today’s date in Bangla calendar:importbanglabangla_date=bangla.get_date()print(bangla_date)# Output: {'date': '৮', 'month': 'আষাঢ়', 'year': '১৪২৪', 'season': 'বর্ষা', 'weekday': 'বৃহস্পতিবার'}To convert any Gregorian date to Bangla date :importbanglabangla_date=bangla.get_date(20,6,2017)# date, month, yearprint(bangla_date)# Output: {'date': '৬', 'month': 'আষাঢ়', 'year': '১৪২৪', 'season': 'বর্ষা', 'weekday': 'মঙ্গলবার'}To convert any English numeric string to Bangla numeric string :importbanglabangla_numeric_string=bangla.convert_english_digit_to_bangla_digit("123456")print(bangla_numeric_string)# Output: ১২৩৪৫৬ContributeCreate Github Pull Requesthttps://github.com/arsho/bangla/pullsIf you have suggestion use GitHub issue system or send a message in Facebookhttps://www.facebook.com/ars.shovon.ThanksInfluenced by বঙ্গাব্দ - jQuery Pluginhttps://github.com/nuhil/bangla-calendar
Package: bangla-character
Bangla CharactersGenerateBangla Charactersusing numberInstructionsInstall:pip install bangla_characterGenerate an Bangla Characters using the dedicated number:frombangla_characterimportbangla# use dedicated number as parameter of character(number) (to generate visuals)letter=bangla.character()Check Image For Keymaps IndexingExample:letter=bangla.character(10)Output: ওletter=bangla.character(186)Output: গ্ব
Package: bangladesh
Bangladesh information likeDistrict,Division,Thana,post codeetc.
This package allows you to direct use those data into the python code.Author:zhdruvo (Zahid Hasan)License:MIT LicenseHome Page:https://github.com/Druvo/BangladeshInstallingThe easiest way to install the library is to execute (possibly in avirtualenv) the command:pip install bangladeshFeaturesfrombangladeshimport*print(get_divisions())print(get_districts())print(get_upazilas())print(get_postcodes())
Package: bangla-linga
Bangla Linga - Python based Gender prediction from Bangla name (bangla-linga)Bangla Linga is a powerful tool for predicting gender/linga from Bengali name patterns.
This page gives a basic introduction to the package.Installation:pip install bangla-lingaIn Python a Bangla Linga is typically written as:Usage:>>>frombangla_lingaimportgender_predictionasgp>>>gen=gp.BN_gen_pred()>>>gen.predict_gender("রাহাত")Output:'Male'
Package: banglanltk
Bangla NLTKbanglanltk is a python package for Bengali Natural Language Processing Toolkit. It includes modules for Cleaning Text, Word Tokenization, Sentence Tokenization, Stemming, Synonym and Parts of speech tagging.InstallationpipinstallbanglanltkUsageCleaning Textimportbanglanltkasbns='আজ আকাশ পরিষ্কার!!! মনে হয় আজ আর বৃষ্টি হবে না .........!'print(bn.clean_text(s))Word Tokenizationimportbanglanltkasbns='প্রাচীন কালে মানুষ একসময় সংখ্যা বুঝানোর জন্য ঝিনুক, নুড়ি, দড়ির গিট ইত্যাদি ব্যবহার করত।'print(bn.word_tokenize(s))Sentence Tokenizationimportbanglanltkasbns=''' কম্পিউটার শব্দটি গ্রিক "কম্পিউট" শব্দ থেকে এসেছে। Compute শব্দের অর্থ গণনা করা। আর কম্পিউটার শব্দের অর্থ গণনাকারী যন্ত্র। '''print(bn.sent_tokenize(s))Stemmingimportbanglanltkasbn# For single wordprint(bn.stemmer('শান্তিনিকেতনে'))# For multiple wordstext='আজ বৃষ্টি হবে।'words=bn.word_tokenize(text)forwinwords:print(bn.stemmer(w))Synonymimportbanglanltkasbnprint(bn.synonym('হাত'))POS Taggingimportbanglanltkasbn# For single wordprint(bn.pos_tag('কম্পিউটার'))# For multiple wordstext='আজ বৃষ্টি হবে।'words=bn.word_tokenize(text)forwinwords:print(bn.pos_tag(w))List of POS tagsPOSMeaningCCConjunctionCDCardinal numberDMDemonstrativeDTDeterminerEXExistential thereFWForeign wordINPrepositionJJAdjectiveJJRAdjective, comparativeJJSAdjective, superlativeMDModalNNNoun, singular or massNNPProper noun, singularNNSNoun, pluralNNVVerbal NounPRPronounPRPPersonal pronounPRP$Possessive pronounPSPPostpositionRBAdverbRBRAdverb, comparativeRPParticlesSYMSymbolTOtoUHInterjectionUNKUnknown tagVBVerb, base formVBDVerb, past tenseVBGVerb, present participleVBNVerb, past participleVBPVerb, non-3rd person singular presentWDTWh-determinerWHWh wordsWPWh-pronounWRBWh-adverb
Package: banglanum2words
Bangla Number in WordsConverts a Bangla numeric string to literal words.Install$pipinstallbanglanum2wordsUsageBangla number to words>>>frombanglanum2wordsimportnum_convert
>>>num_convert.number_to_bangla_words("১২৩৪")'এক হাজার দুই শত চৌত্রিশ'>>>num_convert.number_to_bangla_words("৩৪১২৩৪")'তিন লক্ষ একচল্লিশ হাজার দুই শত চৌত্রিশ'Bangla year in numbers to words>>>frombanglanum2wordsimportnum_convert
>>>num_convert.year_in_number_to_bangla_words("১৯৯৪")'উনিশশো চুরানব্বই'>>>num_convert.year_in_number_to_bangla_words("২০০৪")'দুই হাজার চার'
Package: bangla-stemmer
Fatick StemmerDescriptionBengali is one of the most morphologically rich languages and it has lots of inflectional and derivational variant forms of a word. Because of that it is quite complicated to determine the stem of word.Therefore our main focus was to program a light-weight library to determine a identical word for same type of inflected word as stem to run on any model.InstallationRun the following  to install:using pippip install bangla-stemmerusing gitgit clone https://github.com/Fatick-DevStudio/Bangla-stemmer.git
cd Bangla-stemmer
python setup.py installUsagesExample 01:frombangla_stemmer.stemmerimportstemmerwordlist=['কবিরগুলিকে','আমাকে','নামাবার']stmr=stemmer.BanglaStemmer()stm=stmr.stem(word)print(stm)output:  ['কবির', 'আমা', 'নামা']Example 01:frombangla_stemmer.stemmer.stemmerimportBanglaStemmerword='কবিরগুলিকে'stm=BanglaStemmer().stem(word)print(stm)output:  ['কবির', 'আমা', 'নামা']Grammar RuleThe grammar rules applied here are based on the algorithm ofRafi Kamal. However some major and required modification has been made in this library in order to make it compatible with any model.Reference:⮑BanglaKit
Package: bangoo
# BangooBangoo is a content management system on the top of Django.# Installation-   Remove `django.contrib.admin` from `INSTALLED_APPS` and everything related to it (e.g.: imports in `urls.py`).-   Add these lines to the `INSTALLED_APPS`:```'angular','crispy_forms','easy_thumbnails','mptt','taggit','bangoo.core','bangoo.navigation','bangoo.theming','bangoo.admin','bangoo.media','bangoo.content',```-   Set `STATICFILES_FINDERS` to:```STATICFILES_FINDERS = ('bangoo.theming.staticfiles.finders.FileSystemFinder','django.contrib.staticfiles.finders.AppDirectoriesFinder')```-   Set `TEMPLATE_LOADERS` to:```TEMPLATE_LOADERS = ('bangoo.theming.loaders.themes.Loader','django.template.loaders.app_directories.Loader','django.template.loaders.eggs.Loader')```-   Set `MIDDLEWARE_CLASSES` to:```MIDDLEWARE_CLASSES = ('django.middleware.common.CommonMiddleware','django.contrib.sessions.middleware.SessionMiddleware','django.middleware.locale.LocaleMiddleware','django.middleware.csrf.CsrfViewMiddleware','django.contrib.auth.middleware.AuthenticationMiddleware','django.contrib.messages.middleware.MessageMiddleware','bangoo.theming.middleware.ThemeMiddleware','bangoo.navigation.middleware.MenuResolverMiddleware')```-   Set `TEMPLATE_CONTEXT_PROCESSORS` to:```TEMPLATE_CONTEXT_PROCESSORS = ('django.contrib.auth.context_processors.auth','django.core.context_processors.request','django.core.context_processors.static','django.core.context_processors.media','django.core.context_processors.i18n','bangoo.theming.context_processors.act_theme','bangoo.navigation.context_processors.act_menu')```-   Set `AUTH_USER_MODEL` to `core.User`-   Set available system languages. Example:```LANGUAGES = (('en', u'English'),('hu', u'Hungarian'),)```Use [2 letter country codes](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2#Officially_assigned_code_elements).-   Set the theme template directory path:```THEMES_BASE_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'themes').replace('\\', '/')```And the default theme:```THEME = 'default'```In the example above the `THEMES_BASE_DIR` is expected to point to the `themes` directoryin the current working directory. `default` theme should be located in `themes/default` then.-   Set `CRISPY_TEMPLATE_PACK` to `bootstrap3`.(Or anything valid. See the [docs](http://django-crispy-forms.readthedocs.org/en/latest/install.html#template-packs))-   Add `admin` and `media` URLs and also append Bangoo's navigation URLs to your URL patterns:```urlpatterns = patterns('',url(r'^admin/', include('bangoo.admin.urls')),url(r'^media/', include('bangoo.media.admin.urls'))) + i18n_patterns('',url(r'', include('bangoo.navigation.urls')),)```Don't forget to import `i18n_patterns`: `from django.conf.urls.i18n import i18n_patterns`-   `python manage.py migrate`-   Create the theme directory by invoking `python manage.py create-theme`# Template blocksBuiltin and external plugins (e.g.: `bangoo.content`, `plugins.blog`) usually extend `base.html` template.You should add `header` and `content` template blocks to this file to make these plugins work.
Package: bangunDatar-bangunRuang
Kumpulan Rumus Bangun Datar dan Bangun Ruangpakage ini di buat untuk latihan bikin package dan upload ke PIPYRumus yang bisa di pakaiLuas Bolafrom PythonPackaging.src.BangunRuang.bola import luas_bola

b = luas_bola(12,2)
Package: banhammer
Tom Scott Banhammer GeneratorGenerates GIFs based on Tom Scott's BanhammerWant to use this in any project using Docker? Get the Docker container here:https://gitlab.com/nerd3-servers/banhammer-generatorInstallingPython 3.5+ is requiredTo install the library, simply run the following command:pip install banhammerIf you would like to use apillowdrop-in replacement, such aspillow-simd, then install that prior to installing the banhammer. All requirements should automatically install.Usagebanhammer.Generator()is the main generator object. To generate an image, useGenerator().image_gen(str)wherestris your string of choice. This will return anio.BytesIO()object, which you can then manually write to a file or upload somewhere.ExampleThe following example generates a GIF and saves it to a file calledoutput.gif:frombanhammerimportGenerator# Setup the generatorg=Generator()# Generate the GIF (returns a BytesIO object)im=g.image_gen('Example')# Write the image to a file called output.giff=open('output.gif','wb')f.write(im.read())f.close()The resulting GIF looks something like this:Font LicensingThe font file included is a modified version of the Bungee Regular font. The font has been modified to include missing unicode characters and emoji provided by other fonts. The licensing and source information can be found below.FontDesignersLicensesBungee RegularDavid Jonathan RossSIL Open Font LicenseTwitter Color Emoji SVGinOT FontBrad Erickson,Joe Loughry, Terence Eden,Twitter, Incand collaboratorsMassachusetts Institute of Technology LicenseCreative Commons Attribution 4.0 InternationalDejaVu Sans MonoŠtěpán Rohandauthors,Bitstream, Inc,Tavmjung BahMassachusetts Institute of Technology LicenseTetsubin Gothicフォントな自由Apache License 2.0
Package: banidb
BaniDBVision StatementBaniDB's vision is to create a single, universally accessible Gurbani Database for Sikh websites and applications. BaniDB is, and will continue to be, the most accurate and complete Gurbani database ever created for use by Sikhs around the world.In order to make this vision possible, members of this collaborative effort work to ensure that the platform is self-sustaining, tested, and secure.Python package for BaniDB APIInstallationWith pippip install banidbUsageQuick Startshabad = banidb.random()
print(shabad)Search shabad by first letters"print("\tSearching Bandhana Har Bandhana ....")
shabad = banidb.search("bhbgggr")
print(shabad)ReleaseCheckout the main branchgit checkout main
git pullIncrement the versionPick one of themajor|minor|patchto update
For example, let's release the version to 0.4.0bump2version --allow-dirty --verbose --commit --tag --new-version 0.4.0 patch setup.pyFor minorbump2version --allow-dirty --verbose --commit --tag --new-version 0.4.0 minor setup.pyFor majorbump2version --allow-dirty --verbose --commit --tag --new-version 1.0.0 major setup.pyNote: its always good to start with the--dry runfirstPush to remotegit pushPush the tag to remote too
in our case 0.4.0git push origin 0.4.0git push origin <tag-name>Run the github release actionFrom UIThis will upload the bits to pypi.org
It can be done from the UI. Select the tag we just created and pushedFrom CLI (untested)ghhas a new feature to trigger workflow from the CLI.
Note: at the time of writing this doc, this feature was not working on MacOSgh workflow run python-publish.yml
Package: bank1
bankThis is an example project demonstrating how to publish a python module to pypi.##installationRun the following to install'''python
pip install bank
'''##usage'''python
from bank import deposit_amount
from bank import withdraw_amount
from bank import home_loan
from bank import personal_loan
from bank import vehicle_loan
from bank import home_loanif you want deposit a amountdep_amount=deposit_amount.dep_amount(10000,10000000)
print(dep_amount)if you want withdraw a amountwith_amount=withdraw_amount.with_amount(1000,10000)
print(with_amount)#home_loan
h_loan=home_loan.hm_loan(10000)
print(h_loan)
#personal_loan
per_loan=personal_loan.per_loan(1000)
print(per_loan)
#vehicle_loanv_loan=vehicle_loan.ve_loan(10000)
print(v_loan)'''
'''python
pip install -e .[dev]