Saravanan666/pypi-org huggingface dataset:
Package: cwmath
Cadwork Math UtilitiesThis is the Cadwork Math Utilities library in Python.InstallationInstall with pip:pipinstallcwmathContributingContributions are always welcome!
Before contributing, please checkcontributing agreement.RoadmapGuidesExamplesAPI DocumentationAuthors@jspaquet@Brunner246LicenseMITStyle GuidePlease follow the style guide below when adding functions.Guidelines# imports:importmathimportsysfrommyclassimportMyClass# example functiondefadd_one(number:int)->int:"""Increase number by one.Function written by John Doe.Args:number (int): a numberReturns:int: number increased by one"""returnnumber+1# Aligned with opening delimiter.foo=long_function_name(var_one,var_two,var_three,var_four)iffoo=='blah':do_blah_thing()do_one()do_two()do_three()
Package: cwmaya
CoreWeave for MayaMaya plugin node to manage submissions to Conductor's cloud service. Supports Maya versions from 2017 to 2024. Requires PyMEL to be installed.InstallTo install the latest version.pipinstall--upgradecwmaya--target=$HOME/CoreWeave/mayaTo install a specific version, for example 0.1.0.pipinstall--upgrade--force-reinstallcwmaya==0.1.0--target=$HOME/CoreWeave/mayaThen setup the Maya module.python~/CoreWeave/maya/cwmaya/post_install.pyNOTEAn alternative is to install from the Plugins page in theConductor Companion appUsageOpen the Plugin Manager and loadCoreWeave.py.To set up a render, chooseConductor->Submitter->Createfrom theCoreWeavemenu.For detailed help, checkout thetutorialandreferencedocumentation.ContributingSeeCONTRIBUTINGChangelogUnreleased:0.0.1-beta.2Initial import
Package: cwmon
CloudWatch-based monitoring for your servers.Free software: BSD licenseInstallationpip install cwmonDocumentationhttps://cwmon.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.5.0 (2016-10-18)ChangesPull out all actual monitoring to plugin. [Hank Gay]OtherBump version: 0.3.0 → 0.5.0. [Hank Gay]Merge branch ‘release/0.3.0’ into develop. [Hank Gay]0.3.0 (2016-10-17)NewAllow chaining subcommands. [Hank Gay]ChangesUpdate changelog. [Hank Gay]OtherMerge branch ‘release/0.3.0’ [Hank Gay]Bump version: 0.2.0 → 0.3.0. [Hank Gay]Merge branch ‘release/0.2.0’ into develop. [Hank Gay]0.2.0 (2016-10-13)NewImport initial functionality from internal project. [Hank Gay]ChangesMake some docstrings a little less personal. [Hank Gay]Fix classifiers and keywords. [Hank Gay]Add some docstings to make flake8 happy. [Hank Gay]Point everything to RescueTime instead of my personal info. [Hank Gay]FixFix actually posting to CloudWatch (had ‘Timestamp’ in wrong place in
payload before). [Hank Gay]Tweak badges some more. [Hank Gay]Fix coveralls badge. [Hank Gay]OtherMerge branch ‘release/0.2.0’ [Hank Gay]Bump version: 0.1.6 → 0.2.0. [Hank Gay]Add helpers for echoing styled text (and use them). [Hank Gay]Add dependency on colorama. [Hank Gay]Doc: Add requires.io badge. [Hank Gay]Doc: List ‘tox’ as a dev dependency. [Hank Gay]Add dev dependency on twine. [Hank Gay]Initial project skeleton. [Hank Gay]
Package: cwmon-system
Acwmonplugin for system-level monitoring.Free software: BSD licenseInstallationpip install cwmon-systemDocumentationhttps://cwmon-system.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.5.0 (2016-10-18)ChangesDepend on cwmon 0.5 instead of 0.3. [Hank Gay]OtherBump version: 0.1.0 → 0.5.0. [Hank Gay]Remove a bunch of extraneous positional arguments. [Hank Gay]Use https in the rescuetime link. [Hank Gay]0.1.0 (2016-10-18)Merge branch ‘release/0.1.0’ [Hank Gay]Further cleanup of cwmon-mysql leftovrs. [Hank Gay]Initial project refactoring. [Hank Gay]Initial commit. [Hank Gay]
Package: cw_msgpack_coder
IntroductionSimple pure Python object encoder and decoder using msgpack (u-msgpack-python package at bottom).It allows encode Python object with high speed and compression since we using msgpack at bottom.It reduce code overhead to minimum and allow you focus on algorithms.How to use itIt is very simple:fromcw_msgpack_coder.umsgpack_coderimportUmsgpackCoderclassYourNestedClass:passclassYourClass:def__init__(name,nested)self.name=nameself.nested=nested# create codercoder=UmsgpackCoder()# register your classes# required because of security reasonscoder.set_default_coder_for_class(self.YourClass)coder.set_default_coder_for_class(self.YourNestedClass)# register old modules and classes names# required if you renamed some modules or classes and want load old data# not need for this examplecoder.set_old_module_and_class_name_to_current('old_module_name','YourClass','__main__','YourClass')# now create some objects to testo=YourClass('hello world!',YourNestedClass())# encode to bytesencoded=coder.dumps(o)# decode bytes to objectso2=coder.decode(encoded)# o == o2!
Package: cwms-python
CWMSpyCWMS REST API for Data RetrievalRequirements.Python 3.8+Installation & Usagepip installIf the python package is hosted on Github, you can install directly from Githubpipinstallgit+https://github.com/HydrologicEngineeringCenter/cwms-python.git(you may need to runpipwith root permission:sudo pip install git+https://github.com/HydrologicEngineeringCenter/cwms-python.git)Then import the package:fromCWMSimportCWMSGetting StartedPlease follow theinstallation procedureand then run the following:fromCWMSimportCWMSfromdatetimeimportdatetime,timedeltaapiRoot='CDA url to connect to'cwms=CWMS()cwms.connect(apiRoot)end=datetime.now()start=end-timedelta(days=10)dfcwms.retrieve_ts(p_tsId='Some.Fully.Qualified.Ts.Id',p_start_date=start,p_end_date=end)ts_df.head()date-time	value	quality-code
0	2023-12-25 06:00:00	1432.82	0
1	2023-12-28 06:00:00	1432.86	0
2	2023-12-29 06:00:00	1432.92	0
3	2023-12-30 06:00:00	1432.92	0
4	2023-12-31 06:00:00	1432.91	0
Package: cwordtm
A topic modeling toolkit on the Holy Scripture and other text
from low-code to pro-codeInstallation$pipinstallcwordtmUsagecwordtmcan be used to perform some NLP pre-processing tasks, text
exploration, including Chinese one, text visualization (word cloud), and
topic modeling (BERTopic, LDA and NMF) as follows:fromcwordtmimportmeta,util,ta,tm,viz,pivot,quotversion SubmoduleProvides some version information.importcwordtmprint(cwordtm.__version__)meta SubmoduleProvides extracting source code ofcwordtmmodule and adding timing and code-showing features
to all functions of the module.print(meta.get_module_info())print(meta.get_module_info(detailed=True))meta.addin_all()quot SubmoduleProvides functions to extract the quotation source Scripture in OT based on the presribed NT Scripture.cdf=util.load_word('cuv.csv')crom8=util.extract2(cdf,'Rom 8')quot.show_quot(crom8,lang='chi')pivot SubmoduleProvides a pivot table of the prescribed text.cdf=util.load_word('cuv.csv')pivot.stat(cdf,chi=True)ta SubmoduleProvides text analytics functions, including extracting the summarization of the prescribed text.cdf=util.load_word('cuv.csv')crom8=util.extract2(cdf,'Rom 8')ta.summary(rom8,code=True)tm SubmoduleProvides text modeling functions, including LDA, NMF and BERTopics modeling.lda=tm.lda_process("web.csv",eval=True,timing=True)nmf=tm.nmf_process("web.csv",eval=True,code=1)btm=tm.btm_process("cuv.csv",chi=True,cat='ot',eval=True)btm=tm.btm_process("cuv.csv",chi=True,cat='nt',eval=True,code=2)util SubmoduleProvides loading text and text preprocessing functions.df=util.load_word()cdf=util.load_word('cuv.csv')df.head()cdf.head()rom8=util.extract2(df,'Rom 8')crom8=util.extract2(cdf,'Rom 8')viz SubmoduleWordcloud plotting from the prescribed text.cdf=util.load_word('cuv.csv')viz.chi_wordcloud(cdf)ContributingInterested in contributing? Check out the contributing guidelines.
Please note that this project is released with a Code of Conduct. By
contributing to this project, you agree to abide by its terms.Licensecwordtmwas created by Johnny Cheng. It is licensed under the terms
of the MIT license.Creditscwordtmwas created under the guidance of Jehovah, the Lord.
Package: cwriter
cwriterProject DescriptionThe package facilitates the creation of C (.h) files from Python. It's not designed to generate every possible C file or cover the entire C syntax. Rather, its primary focus is to generate files that contain elements like arrays or strings as well as constants, defines, and typedefs that can be imported from other sources or linked into a project.ExampleThis codenumbers=list(range(100))f=CFile("example.h")f.openGuard()f.define("THIS",0)f.newLine()f.comment("A variable definition with intialization")an={5:"This is an annotation for the element at position 5",30:("Another annotation, but with single=True for the element at position 30",True)}f.varDefinition("const int[]","values",numbers,to_str_fn=paddedHex(2),annotations=an)f.newLine(2)f.comment("A variable declaration")f.varDeclaration("const int","size",extern=True)f.newLine()f.varDeclaration("const int[]","values")f.newLine()f.comment(["Now a multilne","comment","here"])f.newLine()f.comment("Another comment with a backslash at the end (note the added dot) ->\\")f.newLine()f.comment("Another array")f.varDefinition("const char[]","other",[1,2,3,4,5])f.comment("A variable definition, with extra attributes")f.varDefinition(["const","char[]"],"var_name","this is a string",extra_attribs="__attribute__ ((aligned (16)))")f.closeGuard()f.print()f.write()Prints and generates this file#ifndef EXAMPLE_H_GUARD#define EXAMPLE_H_GUARD#define THIS 0// A variable definition with intializationconstintvalues[]={0x00,0x01,0x02,0x03,0x04,// This is an annotation for the element at position 50x05,0x06,0x07,0x08,0x09,0x0a,0x0b,0x0c,0x0d,0x0e,0x0f,0x10,0x11,0x12,0x13,0x14,0x15,0x16,0x17,0x18,0x19,0x1a,0x1b,0x1c,0x1d,// Another annotation, but with single=True for the element at position 300x1e,0x1f,0x20,0x21,0x22,0x23,0x24,0x25,0x26,0x27,0x28,0x29,0x2a,0x2b,0x2c,0x2d,0x2e,0x2f,0x30,0x31,0x32,0x33,0x34,0x35,0x36,0x37,0x38,0x39,0x3a,0x3b,0x3c,0x3d,0x3e,0x3f,0x40,0x41,0x42,0x43,0x44,0x45,0x46,0x47,0x48,0x49,0x4a,0x4b,0x4c,0x4d,0x4e,0x4f,0x50,0x51,0x52,0x53,0x54,0x55,0x56,0x57,0x58,0x59,0x5a,0x5b,0x5c,0x5d,0x5e,0x5f,0x60,0x61,0x62,0x63};// A variable declarationexternconstintsize;externconstintvalues[];/** Now a multilne* comment* here*/// Another comment with a backslash at the end (note the added dot) -> \.// Another arrayconstcharother[]={1,2,3,4,5};// A variable definition, with extra attributesconstcharvar_name[]__attribute__((aligned(16)))="this is a string";#endif/* EXAMPLE_H_GUARD */NOTE: The generated code above is only meant as an example, and doesn't intend to show what should be placed in an .h file.Licensing and CopyrightBSD 2-Clause LicenseCopyright © 2023, Guillermo Romero (Gato)
Package: cwru
Usageimportcwrudata=cwru.CWRU("12DriveEndFault","1797",384)Then, you can usedata.X_train,data.y_train,data.X_test,data.y_test,data.labels,data.nclassesto train and evaluate your data driven fault diagnostic algrithms.Not have a local copy of CWRU Bearing data on your machine? Don’t be worry, These.matfiles required by your code will be automatically downloaded fromCase Western Reserve University Bearing Data Center, renamed properly with their corresponding class, stored in~/Datasets/CWRUdirectory to avoid downloading in future.ArgumentsThe constructor of classcwru.CWRUhas three arguments:exp: experiment, supporting"12DriveEndFault", "12FanEndFault", "48DriveEndFault"rpm: rpm during testinglength: length of the signal slice, namelyX_train.shape[1]InstallInstall by pip:$ pip install –user cwruOr install manually:$ python setup.py installTestYou can run unit test by:$ python -m unittest discover
Package: cws-clisearch
CwsCLI web search is a CLI search tool that shows the first N results from select search engines.This started out because I wanted a way to play youtube video's in mpv without needing to open a browser first, because then why not watch it in my browser in the first place. I did find some similar projects but they just opened the results in my browser instead which was once again defeating the point.The main use-cases are:Searching and fetching youtube/google/'whatever gets implemented' search results from the command lineExecuting default actions per search provider with the -x flag (see configuration), like opening youtube results in mpvPiping results to external commands to open/play results like your web browser or mpv for youtubeit heavily relies onrapidapiendpoints for now. Which means you need to register and configure personal API tokens for this to work. See theconfigurationsection below for more info.Development is done on irregular intervals, while heavily distracted so expect nothing.
This is currently a first usable version, that will probably change a lot. Core functionality should stay about the same though.Todo (for now):-c flag that shows only 1 result and copies thatInteractive mode that allows selection of result and applying an action like copy or openAdd more search providersPossibly add some webscraping fallback for when no api's are configured or free limits are reachedInstallation$pipinstallcws_clisearchConfigurationConfiguration is done through .yml files either in$HOMEor$XDG_HOME/cws/.
There's 2 different config files, one mandatory and one optional:.cws_tokens.yml (mandatory).cws_config.yml (optional).cws_tokens.ymlThis is where yourrapidapitokens are loaded from.Example:google:"$token"# Get it from https://rapidapi.com/apigeek/api/google-search3/youtube:"$token"# Get it from https://rapidapi.com/marindelija/api/youtube-search-results/Use the--list-providersoption to list all posibilities..cws_config.ymlThis is where you override default settings of cws.Example with defaults shown:default_provider:'google'provider:youtube:default_action:'mpv'google:default_action:'firefox'UsageSeecws -hfor general usage information.For now Google is the default search provider. The -x option implies -u and -n1, then pipes that output to whatever you want.
It's also safe to manually use the -u and -n1 options to pipe results. This does not work with mpv, just likeecho '$youtube_url' | mpvwouldn't. Use -x as a work-around.
Package: cwsharp
cwsharp========Python中文分词库, 支持自定义词典和多种分词算法.GitHub: https://github.com/zhengchun/cwsharp-python特点========- 支持多种分词算法:- MMSegTokenizer - 基于字典的分词算法，默认的分词算法.- BigramTokenizer - 二元分词，支持英文、数字.- 自定义字典, 支持中英文混合.- 兼容Python 2x, 3x.- MIT协议安装说明========- 自动安装: ``easy_install cwsharp`` 或者 ``pipe install cwsharp``, ``pip3 install cwsharp``Changelog========- [2017-11-10]- MMSegTokenizer的分词性能提高20X。- 修正chunk.degree()函数中word.freq为0的异常。
Package: cwsplit
Compound Word Splitter (cwsplit) for any language supported byenchant.InstallationMake sure you have enchant dictionary installed.You can check the list of installed packages by running:importenchantprint(enchant.list_languages())Check thepyenchantandenchantlinks for more
info.UsageImport module:fromcwsplitimportsplitFor German (Default)split('Rindfleisch')# ['rind', 'fleisch']For English:split('blackboard','en_en')# ['black', 'board']orfromcwsplitimportload_dictload_dict('en_en')split('blackboard')# ['black', 'board']Sometimes the word is misspelled or just doesn’t exist. By deafult the
word will be split in characters until the longer word shows up.Positive effect of this behaviour is the connecting letters like ‘s’ inüberwachungsaufgabenwill be isolated.On the other hand, let’s imagine we have a non-existing wordgibberishfleisch, this will be decompounded into wordsgib,b,e,r,i,s,handfleisch.split('gibberishfleisch',language='de_de')# ['gib', 'b', 'e', 'r', 'i', 's', 'h', 'fleisch']This does not look good at all. This is why you can select the sortest
word size, so all shorter consecutive words will be concatenated. For
example, let’s define the shortest ward as 4 characters long:split('gibberishfleisch',language='de_de',min_word_size=4)# ['gibberish', 'fleisch']Now we get two wordsgibberishandfleisch, which is something you
would expect.This will not affect the correct words that have a connecting ‘s’.For example:split('übertragungsgesetz',min_word_size=4)# ['übertragung','s', 'gesetz']remains correct.AlgorithmThis is a very simple recursive algorithm that looks up for the longest
word inside of the provided word, by checking if it exists in theenchantdictionary.
The output is always returned as a list of strings. If no shorter words
are found, the input word will be return as a single element list.DevelopersUpload script usespandocto
convert README.md to README inrstfromat, needed in order to create
the package. Make sure you have it installed if you plan to use the
script.
Package: cwstoolkit
# v-0.0.9修改 sms 和 email 模板 同时支持 python2 和  python3# v-0.0.10修改钉钉模板，支持Markdown 消息类型# v-0.0.11dingding 模块中 关于python2 和Python3支持 configparser 的问题# v-0.0.12邮件发送附件支持各类压缩格式# v1.0.0修改短信、钉钉、邮件发送结果为 json 格式# v1.0.2添加七牛上传功能,默认一般文件上传之后存放在files/20190213/xxxx.txt图片/js/css 上传之后存放在 （images/js/css）static/images/20190213/xxxx首先需要自定义配置文件：cat xx.conf[bucketname]bucket_name = bucketnameaccess_key = xxxxxsecret_key = xxxxDemo:from cwstools.Qiniu import qiniuInstancedemo = qiniuInstance()demo.configfile = xx.confdemo.section = bucketnamedemo.local_filename = real_local_file.txtdemo.filetype = "file"demo.upload_file()# v1.0.3把 之前定义的 colinws 中的基础包和函数归纳到当前包中来utilsBasecolorMsg(color, msg)getMD5(object)generate_passwd(passwd_length=16)getIPAdress(ifname='eth0')getIPAdress2()utilsLogprintLog(string)warnLog(string)errorLog(string)utilsDatetoday(mode=1)yesterday(mode=1)tommorrow(mode=1)diffDay(differ=1, mode=1)daytime(mode=1)firstAndLastDay(mode=1)curHour(mode=1)diffHour(differ=1, mode=1)
Package: cw-tiler
<h1 align="center">CosmiQ Works Evaluation Tools</h1><p align="center"><a href="http://www.cosmiqworks.org"><img src="http://www.cosmiqworks.org/wp-content/uploads/2016/02/cropped-CosmiQ-Works-Logo_R_RGB.png" width="350" alt="CosmiQ Works"></a><br><br><img align="center" src="https://img.shields.io/pypi/pyversions/cw-tiler.svg"><img align="center" src="https://img.shields.io/conda/vn/conda-forge/cw-tiler.svg"><img align="center" src="https://readthedocs.org/projects/cw-tiler/badge/" alt="docs"><img align="center" src="https://img.shields.io/github/license/cosmiq/cw-tiler.svg" alt="license"></p>- [Installation Instructions](#installation-instructions)- [API Documentation](https://cw-eval.readthedocs.io/)- [Dependencies](#dependencies)- [License](#license)- [Download Instructions](#spacenet-dataset-download-instructions)---Modeled off of capabilities from [rio-tiler](https://github.com/mapbox/rio-tiler) and designed for use with SpaceNet datasets, this library provides code for tiling geospatial imagery datasets into manageable pieces.## Installation InstructionsSeveral packages require binaries to be installed before pip installing the other packages.  Conda is a simple way to install everything and their dependencies:#### Conda_note: This functionality is not ready as of 12.11.18. Check back soon._```conda install -c conda-forge cw-tiler```#### pipYou may use `pip` to install this package; however, note that one of the dependencies, [rtree](https://github.com/Toblerity/rtree), can require pre-installation of [libspatialindex](https://libspatialindex.github.io/) binaries. This can all be done by installing rtree using conda:```conda install -c conda-forge rtree```or by [following the instructions for libspatialindex installation](https://libspatialindex.github.io/).Once you have dependencies set up, install as usual using `pip`:```pip install cw-tiler```For bleeding-edge versions (use at your own risk), `pip install` from the dev branch of this repository:```pip install --upgrade git+https://github.com/CosmiQ/cw-tiler.git@dev```## API DocumentationSee the [readthedocs](https://cw-tiler.readthedocs.io/) page.## DependenciesAll dependencies can be found in the docker file [Dockerfile](./Dockerfile) or[environment.yml](./environment.yml)## LicenseSee [LICENSE](./LICENSE.txt).## SpaceNet Dataset Download InstructionsFurther download instructions for the [SpaceNet Dataset](https://github.com/SpaceNetChallenge/utilities/tree/master/content/download_instructions) can be found [here](https://github.com/SpaceNetChallenge/utilities/tree/master/content/download_instructions).
Package: cwtimer
‘cwtimer’ does one simple thing, track the timing of a ‘with’ statement block and report to AWS Cloudwatch.Install$pipinstallcwtimerExamplefromcwtimerimportcwtimerimporttimewithcwtimer(namespace='MyNameSpace',metric_name='MyMetric',dimensions={'MyDimension':'Value'}):time.sleep(1)# 1.0s reported to cloudwatch metric
Package: cw-torch
Cramer-Wold DistanceRepository infoThis repository contains an implementation of Cramer-Wold Distance in PyTorch, proposed bySzymon Knop, Przemysław Spurek, Jacek Tabor, Igor Podolak, Marcin Mazur, Stanisław Jastrzębski (2020).PyPI packageCode is distributed as aPyPI package.
To use it in your project you can install it using PIP:pip install cw-torchLicenseThis implementation is licensed under the MIT License
Package: cwt-seismology
CWT-SeismologyThis code is optimized to compute the Characteristics Functions using the complex/real
Morlet Wavelet, see references. It can also be used to detect signals in the waveform.Currently, the algorithm is also implemented in theIntegrated Seismic Programs(ISP)AuthorsRoberto Cabieces,Thiago C. JunqueiraReferencesApplication to Ocean Bottom Seismometers, Geophysical Journal International,https://doi.org/10.1093/gji/ggaa427
Package: cwtune
# cwtune## Descriptioncwtuneis an open-source tool developed by [availabl.ai](https://availabl.ai). It addresses the issue of noisy CloudWatch alarms by providing a data-driven approach for selecting better thresholds.Thresholds for these monitors are usually selected by trial and error, which can lead to unnecessary noise.cwtuneuses historical data to backtest and suggest optimized thresholds, ensuring your alarms are tuned to the right level. This reduces unnecessary noise and increases the value of your alerts.## Requirements
- [aws cli](https://aws.amazon.com/cli/)
- python 3.6+## InstallationYou can installcwtunevia pip:`bash pip install cwtune `## UsageAfter installation, you can runcwtunefrom the command line:`bash cwtune `The tool will then guide you interactively through the process of configuring your CloudWatch alarm.Alternatively, you can provide command-line arguments to configure the alarm:`bash cwtune--alarm-type[gt|lt]--period[1|5|60]--statistic[Sum|Average|Min|Max|SampleCount|p50|p95|p99]--region[AWS region]--aws-profile[AWS CLI profile] `Here’s what each argument does:–alarm-type: The type of alarm, either greater than (gt) or less than (lt).–period: The period of the CloudWatch metric in minutes. Can be1,5, or60.–statistic: The statistic of the CloudWatch metric. Can beSum,Average,Min,Max,SampleCount,p50,p95orp99.–region: The region of the CloudWatch metric. Can be any valid AWS region.–aws-profile: (Optional) The profile configured in AWS CLI to use for making API calls. Defaults todefault.For example, to configure a greater than alarm with a 1-minute period, using theSumstatistic, in theus-west-1region, and using the default AWS CLI profile, you would run:`bash cwtune--alarm-typegt--period1--statisticSum--regionus-west-1--aws-profiledefault `## Example Plot
<img width=”1544” alt=”Screen Shot 2023-08-02 at 15 48 45 p m” src=”https://github.com/availabl-co/cwtune/assets/89125058/1dd56b83-36c4-46d2-a40e-f29cfb657fdb”>## ContributingWe welcome contributions from the community! If you would like to contribute, please follow these steps:Fork the repository on GitHub.Make your changes in a new branch.Test your changes to ensure they do not introduce new bugs.Submit a pull request for review.## Licensecwtuneis licensed under the MIT License. See the [LICENSE](LICENSE) file for details.