Saravanan666/pypi-org huggingface dataset:
Package: cnspy-spatial-csv-formats
cnspy_spatial_csv_formats PackageThis package holds header and format definitions forCSV-filesthat hold timestamped 3Dspatialinformation.
Byspatial3-DoF relative position (),3-DoF attitude (orientation represented by quaternions),6-DoF pose (position + attitude)6-DoF pose with uncertainty.File headers are in the first line of a CSV file starting with a#, followed by a sequence of unique comma separated strings/chars.It is highly recommended to load the CSV files into apandas.DataFrame. For convenience, there is a package calledcnspy_csv2dataframethat does the conversion using theCSVFormatPosedefinitions.NoteTheCSVFormatPose.TUMformat, got it's name for file format used in theTUM RGB-D benchmark tool. Noticeable, is that the order of quaternion is non-alphabetically ([q_x,q_y,q_z, q_w]instead of[q_w, q_x, q_y, q_z]), meaning that first comes the imaginary part, then the real part, but this is just a matter of taste and definition! To be backward compatible with older/other tools (TUM RGB-D benchmark tool,rpg_trajectory_evaluation, etc.), we follow this non-alphabetically order!InstallationInstall the current code base from GitHub and pip install a link to that cloned copygit clone https://github.com/aau-cns/spatial_csv_formats.git
cd spatial_csv_formats
pip install -e .DependenciesIt is part of thecnspy eco-systemof thecns-githubgroup.enumLicenseSoftware License Agreement (GNU GPLv3  License), refer to the LICENSE file.Sharing is caring!-Roland Jung
Package: cnspy-timestamp-association
cnspy_timestamp_associationThe classTimestampAssociationfinds correspondences between to vectors, in our case containing timestamps. The aim is to find timestamp pairs with a configurablemax_difference.InstallationInstall the current code base from GitHub and pip install a link to that cloned copygit clone https://github.com/aau-cns/cnspy_timestamp_association.git
cd cnspy_timestamp_association
pip install -e .DependenciesIt is part of thecnspy eco-systemof thecns-githubgroup.numpyExamplesPlease refer to the unit-test section inTimestampAssociation.py.LicenseSoftware License Agreement (GNU GPLv3  License), refer to the LICENSE file.Sharing is caring!-Roland Jung
Package: cnspy-trajectory
The cnspy_trajectory PackageATrajectoryobject consists of a matrix of positions, orientations (Quaternions) and associated timestamps.
The object can be created by passing the these three matrices or by passing aPandasDataFrameobject containing them.
TheDataFramewill be converted using the classTUMCSV2DataFrame.A trajectory object offers some conversions, load/store methods, plot, spatial transformations, etc.ATrajectoryEstimatedis a specialization of aTrajectory, holding a covariances of the position and orientation to the timestamps, which can be loaded form aDataFrametoo.TheTrajectoryPlotteroffers methods to visualize a (or multiple)Trajectoryobjects.InstallationInstall the current code base from GitHub and pip install a link to that cloned copygit clone https://github.com/aau-cns/cnspy_trajectory.git
cd cnspy_trajectory
pip install -e .DependenciesIt is part of thecnspy eco-systemof thecns-githubgroup.numpymatplotlibpandasscipycnspy_numpy_utilscnspy_csv2dataframecnspy_spatial_csv_formatscnspy_trajectorymatplotlib.pyplotExamplesPlease refer to the unit-testsTrajectory_TestandTrajectoryEstimated_TestinTrajectory/TrajectoryEstimated.py.
For plotting options to the unit-testTrajectoryPlotter_Test.Pose plotPose plot 3DMutli pose plot 3DLicenseSoftware License Agreement (GNU GPLv3  License), refer to the LICENSE file.Sharing is caring!-Roland Jung
Package: cnsr
Welcome to the CNSR Lab Code BaseThis repository provides Jupyter notebook templates required to perform analysis on the data created during experiments at theCNSR core facility of Heidelberg University.InstallationThe recommended installation for thecnsrPython package is via Conda:condainstall-cconda-forgecnsrUsageAfter installingcnsr, start JupyterLab either via the command line or via the Jupyter App launcher UI on Windows:jupyterlabIn the JupyterLab launcher, you will see a shortcut for each analysis task at CNSR. Clicking on this notebook will create a copy of the respective analysis notebook in the current working directory.AcknowledgmentsThe conda packaging of this repository was implemented by theScientific Software Center at Heidelberg University.
Package: cns.recipe.maildrophost
cns.recipe.maildrophost is simple recipe used for installing MaildropHost from tarball with ability
to configure the product by modifying config.py file. No other changes, except download, untar and modify
config.py are made.Example:[maildrophost]
recipe = cns.recipe.maildrophost
version = 1.22
target = ${buildout:directory}/products
MAILDROP_HOME=/tmp/maildrop
MAILDROP_SPOOL=/tmp/maildrop/spool
MAILDROP_VAR=/tmp/maildrop/var
MAILDROP_PID_FILE=/var/run/maildrop/maildrop.pid
MAILDROP_LOG_FILE=/var/log/maildrop/maildrop.log
PYTHON=/usr/bin/python
SMTP_HOST=localhost
SMTP_PORT=25
MAILDROP_INTERVAL=120
DEBUG=0
DEBUG_RECEIVER=
MAILDROP_BATCH=0
MAILDROP_TLS=0
MAILDROP_LOGIN=
MAILDROP_PASSWORD=
WAIT_INTERVAL=0.0
ADD_MESSAGEID=0
SUPERVISED_DAEMON=0versionis optional and defaults to 1.22targetis optional. Defaults to${buildout:directory}/productsAll other options (with capital letters) are MaildropHost specific options. SeeMaildropHost/config.pyfor exact meaning.OptionMAILDROP_USER(not included above) is specific to maildropctl control script,
which is generated to ${buildout:directory}/bin. If you want to run maildrop process under specific user,
add MAILDROP_USER option to the buildout configuration. Otherwise current user will be used to start maildrop
daemon process.Do not change anything in MaildropHost directory by hand!Version 1.5.2Fixed config file name in maildropctl scriptVersion 1.5.1Fixed overriding commented itemsVersion 1.5Updated to work with MaildropHost 1.22 - config.py file is now ‘config’ only. Both versions are supported. If there is no config.py, config will be used.
MaildropHost 1.22 is default now.Version 1.4Fixed MAILDROP_USER option. This option did not work. Thanks to dhigu.Version 1.3Fixed download_dir - if download_directory is not available using download_cache or downloads dir in buildout.
Package: cns.recipe.symlink
================================Introduction================================This recipe makes it easy to create symbolic links on Unix variants. Links can bespecified one by one, or in bulk. Various shortcuts are provided to avoid unnecessaryrepetition of source & target paths, etc.Warning: If you're going to be linking to directories, **make sure** to see the wiki`page <https://github.com/koodaamo/cns.recipe.symlink/wiki/zc.buildout-bug-%23144228>`_on how to work around zc.buildout bug #144228. Otherwise your buildout will fail.Common options===================- *symlink_base* option may contain a common (source) base directory for symlinking,when links are created for many items from the same directory.- *symlink_target* may contain common target directory, when links are created in thesame directory.- *autocreate* causes a target directory to be created if it does not existSpecifying individual links=============================- *symlink* option contains one or more values in format source=targetExample 1::[symlinks]symlink = ~/work/MyProj = ${buildout:directory}/productsautocreate = trueIf a common *symlink_target* is specified, *symlink* can be in format: source= (omitting target directory)Specifying links in bulk==========================Links can be created for all items in a directory given via *symlink_base*, all buildouteggs, and all development eggs. When links are created in bulk, they are always createdin directory given by *symlink_target*.There's also a special option to constrain bulk link creation:- *ignore* option contains one or more wildcard expressions for choosing items that willbe ignored, ie. no links will be created for themFor files in directory------------------------If *symlink_base* & *symlink_target* are specified, but no *symlink* option is given,links are created for all items found in the (source) base directory. Furthermore, evenif *symlink* option is used, links can still also be created for all items in*symlink_base* by giving the *bulk* option that forces bulk link creation even ifindividual *symlink* specification is used.Example 2::[symlinks]symlink_base = ~/work/symlink_target = ${buildout:directory}/productsignore = *.tmpFor eggs in buildout---------------------There are two options to generate symlinks for eggs downloaded to a buildout.- *eggs*- *develop*The *ignore option* can be used here as well.Example 3::eggs = truedevelop = trueignore = *.tar.gz*.zipsymlink_target = ${buildout:directory}/productsContributors==============Radim Novotny, original author;Petri Savolainen, contributorChange history================0.2.3 (2011-12-07)------------------- Sphinx docs- Minor fixes0.2.2 (2011-12-02)------------------- Raise error on nonexistent base source directory- Provide 'autocreate' option to create target directory if it does not exist0.2.1 (2011-12-02)------------------- New feature for ignoring some items0.2 (2011-12-02)----------------- New feature for bulk creation of links- Repackaged based on ZopeSkel recipe- Minor doc improvements- Source now on github0.1------------------ Initial releaseDownload==========
Package: cns.recipe.zmysqlda
This package has been renamed to collective.recipe.zmysqldacns.recipe.zmysqlda is simple recipe used for installing ZMySQLDA from tarball.
ZMySQLDA 2.0.8 tarball
has structure lib/python/Products/ZMySQLDA/…. and has to be extraceted manually.Example:[zmysqlda]
recipe = cns.recipe.zmysqlda
target = ${buildout:directory}/productstargetis optional. Defaults to${buildout:directory}/products2.0.9Fixed buildout[‘download-directory’]2.0.8Initial release
Package: cn-stock-holidays
cn_stock_holidays数据文件 (File Path)沪深市场cn_stock_holidays/data.txt香港市场cn_stock_holidays/data_hk.txtFetch Data via URL :wget https://raw.githubusercontent.com/rainx/cn_stock_holidays/main/cn_stock_holidays/data.txt

or

curl https://raw.githubusercontent.com/rainx/cn_stock_holidays/main/cn_stock_holidays/data.txt文件内容 ( File Content)保存除了周六日休市之外，其它休市信息，换行分割store all (even upcoming) holiday for china stock exchange (without regular market close date on Saturday Day and Sun Day ) , one date per line格式(File Format)YYYYMMDDPython versionpip install cn-stock-holidaysorpip install git+https://github.com/rainx/cn_stock_holidays.git导入# 针对沪深importcn_stock_holidays.dataasshsz# 针对香港importcn_stock_holidays.data_hkashkexFunctionsHelponmodulecn_stock_holidays.dataincn_stock_holidays:NAMEcn_stock_holidays.data-HelpfunctionsforpythontogetchinastockexchangeholidaysFILE/Users/rainx/dev/cn_stock_holidays/cn_stock_holidays/data.pyFUNCTIONScheck_expired()checkiflocalorcacheddataneedupdate:return:true/falsedate_to_int(da)date_to_str(da)get_cache_path()get_cached()getfromcacheversion,ifitisnotexising,usetxtfileinpackagedata:return:alistcontainsallholidaydata,elementwithdatatime.dateformatget_local()readdatafrompackagedatafile:return:alistcontainsallholidaydata,elementwithdatatime.dateformatget_remote_and_cache()getnewestdatafilefromnetworkandcacheonlocalmachine:return:alistcontainsallholidaydata,elementwithdatatime.dateformatint_to_date(d)str_to_int(s)sync_data()is_trading_day(dt)paramdt:datetime.datetimeordatetime.date.isatradingdayornot:returns:Boolprevious_trading_day(dt):paramdt:datetime.datetimeordatetime.date.getprevioustradingday:returns:datetime.datenext_trading_day(dt):paramdt:datetime.datetimeordatetime.date.getnexttradingday:returns:datetime.datetrading_days_between(start,end):paramstart,end:startandendtime,datetime.datetimeordatetime.dategetcalendardatarange:returns:ageneratorforavailabledatesforchinesemarketincludedstartandenddateabout function cachefrom version 0.10 on, we used functools.lrucache onget_cachedfor getting more speech,
if needed you can used the following syntax to clear cache.get_cached.cache_clear()Keep it up-to-datewe had a script to check the expired of the data and fetch the data from web.you could set it up on cron job0 0 * * * /usr/local/bin/cn-stock-holiday-sync > /tmp/cn_stock_holiday_sync.logYou could get the absolute path of cn-stock-holiday-sync by which command沪深whichcn-stock-holiday-sync香港whichcn-stock-holiday-sync-hk
Package: cnstr
Canister.pyThe official library for interacting withCanisterin Python.Made with love byJaidan.💻 DocumentationSeeherefor all Canister.py documentation.❓ ContributingSeeherefor instructions on how to contribute.⚡️ Example UsageBelow is a good example of how to use Canister.py.# import asyncioimportasyncio# import typesfromtypingimportList# import canisterfromcanisterpyimport(Canister,Package,PackageSearchFields)# set up clientclient=Canister(user_agent='Canister.py Example')# main functionasyncdefmain(package:str)->List[Package]:# create search fieldsfields=PackageSearchFields()# pick out fields# we want to search by name and author, sofields.set('name',True).set('author',True)# search for querypackages=client.search_package(package,fields)# return what we foundreturnpackagesprint(asyncio.run(main('test')))ifnotclient.is_closed():client.close()
Package: cnsyn
Chinese-SynonymsChinese Synonyms 中文同义词查询工具包
Chinese Synonyms for Natural Language Processing and Understanding.cnsyn"cnsyn"：Python 中文同义词查询工具组件"cnsyn" : Python Query tools for Chinese Synonyms.GitHub:https://github.com/shangfr/Chinese-Synonyms特点支持同义词查询支持自定义词典 > 已删除Apache License 2.0 授权协议在线演示：安装说明全自动安装：pip install cnsyn半自动安装：先下载https://pypi.python.org/pypi/cnsyn/，解压后运行python setup.py install手动安装：将 cnsyn 目录放置于当前目录或者 site-packages 目录，通过import cnsyn来引用。同义词库说明1、wiki：通过维基百科构建的一个中文同义词库-AitSimwords.txt；2、cndict：中文同义词字典-chinese_dictionary.txt；3、words_id_emb: 基于PaddleNLPTokenEmbedding的预训练模型获取的词向量，合并wiki、cndict词库，共计129691个词；查询原理基于词的传统召回
基于倒排索引，当用户输入查询词后，根据该词到倒排索引中进行查找该词的同义词。基于向量的语义召回
基于KNN-BallTree算法，找出某一个词向量最相近的词集合；代码示例# encoding=utf-8importcnsyn# 查询同义词（全部词库）word='垃圾'cnsyn.search(word)cnsyn.search(word,topK=3)# 使用wiki词库cnsyn.search(word,origin='wiki')# 使用中文同义词字典库cnsyn.search(word,origin='cndict')# 基于向量的语义召回Approximate Nearest Neighbor Searchcnsyn.anns(word)cnsyn.anns(word,topK=3)
Package: cn-tcp-server
Tcp_chatA simple tcp chat on pythonInstallingUsing pip:$ pip3 install cn-tcp-serverUsing git:$ git clone https://github.com/cl1ckname/tcp_chat.git
$ mv tcp_chat <path_to_your_python_packeges_folder>/tcp_chatUsageThe chat works on a room system. Any names consisting of symbols of the Latin alphabet, numbers and slashes are acceptable. Chats are not password protected, so anyone can join any room, or create their own.How it look like:Clickname- Hay, is this chat empty?BigJoe2008- No, the guys and I are here discussing isomorphism problems in topologically compact manifoldsClickname- Oh...CommandsTo start theserverwrite:python3 -m tcp_chat server -a <IP> -p <PORT>IP - Your IP address where the server will run. The default islocalhost.PORT - The port that the server will listen on. The default is8888.To startclientwrite:python3 -m tcp_chat start client -a <IP> -p <PORT> -u <USERNAME> -c <CHAT_ID>IP - Your IP address of server. The default islocalhost.PORT - The port of that server. The default is8888.USERNAME - The name with which your chat messages will be shown.CHAT_ID - The name of the chat room. If such exists, the application will add you to it, if not, it will create.Close applicationTo close server tap CTR+CTo stop client tap CTR+C or write/exitFor custom clientsYou can use any tcp client to connect, you should only follow the authentication system:The first message must match the pattern<USERNAME>_<CHAT_ID>There are three response codes200- Authentication passed400- Invalid first message403- User with this username already connectedMessages are sent as plain text in UTF-8 encoding.
Package: cntn
## Intro.> Convert chinese written string to read string. 将中文书面字符串转换为口语字符串。## Usage```pythonfrom cntn import w2sprint(w2s("小王的身高是153.5cm,梦想是打篮球!我觉得有0.1%的可能性。"))# 小王的身高是一百五十三点五厘米,梦想是打篮球!我觉得有百分之零点一的可能性。print(w2s("小王的钱包有1116$，可以买个iphone7s。"))# 小王的钱包有一千一百一十六$，可以买个IPHONE七S。```## Install```bash# from pippip install cntn# from sourcegit clone https://github.com/open-speech/cn-text-normalizer.gitcd cn-text-normalizerpython setup install# orpip install git+https://github.com/open-speech/cn-text-normalizer```## Config
Package: cntnr
cntnrCLI wrapper for basic container (Docker/libpod) management tasksAboutThis is a Python wrapper script to simplify specific tasks in a container environment.
It is designed to work with your container runtime of choice (currentlypodmananddocker).
A CLI menu makes these selections possible.This project was created for a lab assignment in NSSA-244 Virtualization at theRochester Institute of Technology.LegalLicensed under Mozilla Public License 2.0.
Created by Justin W. Flory.
Package: cntools
CNToolsSystem requirementsThe software denpendencies are listed inpyproject.toml. The software is independent of operating systems. The version the software has been tested on is v2.1.0.Installation guideAs we need a conda package pydot=1.4.2 (not a pip one), the package should be installed byconda create -n cntools python=3.8 pydot=1.4.2
conda activate cntools
python -m pip install cntoolsInstructions for useIdenfity and smooth cellular neighborhoodsSeetests/test_crc.ipynbfor CRC dataset,tests/test_t2d.ipynbfor T2D dataset, andtests/test_hlt.ipynbfor HLT dataset. For example, to run CNE on the CRC dataset, just dofrom cntools.datasets import load_ct_order, prep_crc, Dataset
from cntools.identification import CNE
from cntools.smoothing import NaiveSmooth

# load dataset
df = prep_crc(pd.read_csv('data/CRC/CRC_clusters_neighborhoods_markers.csv'))
ct_order = load_ct_order('data/CRC/ct_order.json')
ds = Dataset(df, ct_order)

# identify
identifier = CNE(n_cns=9, perp=15, lam=0.25)
cns = identifier.fit(ds) # output CN

# smooth
smoother = NaiveSmooth(ds=ds, n_cns=identifier.n_cns, feats=identifier.feats, s=3)
cns_smoothed_naive = smoother.fit(cns) # output CN after smoothingAnalyze cellular neighborhoodsSee jupyter notebooks in thetests/analysisfolder.DemoRuntests/test_crc.ipynb,tests/test_t2d.ipynb, andtests/test_hlt.ipynbfor CN identification and smoothing. Run jupyter notebooks in thetests/analysis/folder for CN analyses. Expected CN outputs are in thetests/cn/*/CNE/folder. Expected analysis outputs are in thetests/analysis_res/*/CNE/folder.AcknowledgementsOur implementation adapts the code ofSpatial LDA,Schurch et al. (2020), andBhate et al. (2022)as cellular neighborhood identification and analysis methods. We thank the authors for sharing their code.@article{chen2020modeling,
  title={Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments},
  author={Chen, Zhenghao and Soifer, Ilya and Hilton, Hugo and Keren, Leeat and Jojic, Vladimir},
  journal={Journal of Computational Biology},
  year={2020},
  publisher={Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…}
}

@article{schurch2020coordinated,
  title={Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front},
  author={Sch{\"u}rch, Christian M and Bhate, Salil S and Barlow, Graham L and Phillips, Darci J and Noti, Luca and Zlobec, Inti and Chu, Pauline and Black, Sarah and Demeter, Janos and McIlwain, David R and others},
  journal={Cell},
  volume={182},
  number={5},
  pages={1341--1359},
  year={2020},
  publisher={Elsevier}
}

@article{bhate2022tissue,
  title={Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors},
  author={Bhate, Salil S and Barlow, Graham L and Sch{\"u}rch, Christian M and Nolan, Garry P},
  journal={Cell Systems},
  volume={13},
  number={2},
  pages={109--130},
  year={2022},
  publisher={Elsevier}
}
Package: cntp
Converting Number To Persian PackageThis package help to convert number into string as Persian numbering system.#BASIC INFORMATION:*Max integer input is upto 100 digits *For educational purpose and office purpose.#Example:from cntp import moduleresult = module.convert(123456)print(res)  #output : یکصد و بیست و سه هزار و چهارصد و پنجاه و شش
Package: cn-trader
<p>cn-trader</p><a href="https://github.com/codfish-zz/cn-trader/blob/master/LICENSE">

    <img alt="GitHub" src="https://huui1998.pythonanywhere.com/admin/uploads/cn-trader/license.svg?color=blue">

</a><p>

    <b>English</b> |

    <a href="https://github.com/codfish-zz/cn-trader/blob/master/README_zh-hans.md">简体中文</a>OverviewPython back testing system for trading strategies, based onbacktraderandAkShare, customized for China market.InstallationThis repository is tested on Python 3.10+, backtrader 1.9+ and AkShare 1.4+.With pippipinstallcn-traderWith source$gitclonehttps://github.com/codfish-zz/cn-trader

$cdcn-trader

$pipinstall-rrequirements.txtOr$gitclonehttps://gitee.com/huui/cn-trader.git

$cdcn-trader

$pipinstall-rrequirements.txtQuick tourRun cn-trader with UI interface.>>>fromcn_traderimportui>>>ui.main()Main menuInput stock symbolChange default parametersShow picture or notShow log or notFull pictureZoom the pictureShow log and summaryMenu auto-completingTestingRun single test case.$cdtests

$python-munittesttests.test_stock_mainland.StockMainlandTestCase.test_strategy_check_sma_crossOutputRun all test cases.$cdtests

$python-munittestdiscover-vOutputCreate new strategyComing soon...
Package: cnum
cnumcnum is a Python library for changing int and float value to Chinese numeral format string.Chinese numeral format is adopted following languages:JapaneseSimplified ChineseTraditional ChineseKoreanFor each languagesInstallationUse the package managerpipto install foobar.pipinstallcnumUsageimportcnum# returns Japanese styled numeral string.cnum.jp(123456789.123456789)'1億2345万6789 1分2厘3毛4糸5忽'# returns simplified Chinese styled numeral string.cnum.scn(123456789.12345)'1亿2345万6789 1分2厘3毫4丝5忽'# returns traditional Chinese styled numeral string.cnum.tcn(123456789.12345)'1億2345萬6789 1分2厘3毫4絲5忽'# returns Korean styled numeral string.cnum.kr(123456789.12345)'1억2345만6789 1分2厘3毛4糸5忽'ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: cnvmsg
ConventionalMessageConventional Message handling.⚠️ WARNING: Poorly tested, error-prone. Works well only with perfectly matched strings.What is Conventional Message?A specification for domain-agnostic message which helps in better describing of the context:%<condition>% [<status>] <project>/<type>(<module>)!: <text> #<...tags>Inspired byConventional commitsandAngular commitsand is compliantin some formsto it.Conventional Message ExamplesFull:%after closing #8b78% [maybe] orwynn/refactor(bootscript): Rearrange bootscript structure #awaiting #nextreleaseGeneral feature:orwynn/feat(di): advanced sharing containerCondition:%if noone called% call service for further information
Package: cnvrg-endpoint-binary
cnvrg_endpoint_binaryAdd a short description here!A longer description of your project goes here…Making Changes & ContributingThis project usespre-commit, please make sure to install it before making any
changes:pip install pre-commit
cd cnvrg_endpoint_binary
pre-commit installIt is a good idea to update the hooks to the latest version:pre-commit autoupdateDon’t forget to tell your contributors to also install and use pre-commit.NoteThis project has been set up using PyScaffold 4.5. For details and usage
information on PyScaffold seehttps://pyscaffold.org/.
Package: cnvrtr
DescriptionDifferent functions to convert between hex, dec, bin, ascii etc.Installationpip install cnvrtrUsagefromcnvrtr.ConverterimportConvertercnvrtr=Converter(nonAsciiPlaceholder=".")leHex=cnvrtr.toLittleEndian("af d0 fe")# fed0afhexToBin=cnvrtr.hexToBin("fed0af")# 111111101101000010101111hexToDec=cnvrtr.hexToDec("fed0af")# 16699567binToDec=cnvrtr.binToDec("11010101")# 213decToAscii=cnvrtr.decToAscii(65)# AhexToAsciiString=cnvrtr.hexToAsciiString("68656c6c6f20776f726c64")# hello worldhexToAsciiString=cnvrtr.hexToAsciiString("68656c6c6f20016f726c64")# hello .orldLicenseMIT