Saravanan666/pypi-org huggingface dataset:
Package: liana
LIANA+: an all-in-one cell-cell communication frameworkLIANA+ is a scalable framework that integrates and extends existing methods and knowledge to study cell-cell communication in single-cell, spatially-resolved, and multi-modal omics data. It is part of thescverse ecosystem, and relies onAnnData&MuDataobjects as input.Development & ContributionsWe welcome suggestions, ideas, and contributions! Please use do not hesitate to contact us, or use the issues or theLIANA+ Development projectto make suggestions.TutorialsSingle-cell/Dissociated DataLIANA's basic tutorialin dissociated single-cell dataMulti-conditionDifferential Expression Analysis for CCC with PyDeSeq2that also shows the inference of causalintracellularsignalling networks, downstream of CCC events.Multicellular programmes with MOFA. Using MOFA to obtain coordinates gene expression programmes across samples and conditions, as done inRamirez et al., 2023.LIANA with MOFA. Using MOFA to infer intercellular communication programmes across samples and conditions, as initially proposed by Tensor-cell2cell.LIANA with Tensor-cell2cellto extract intercellular communication programmes across samples and conditions. Extensive tutorials combining LIANA &Tensor-cell2cellare availablehere.Spatial DataLearn spatially-informed relationships with MISTyacross (multi-) views.Estimate local spatially-informed bivariate metrics. This tutorial shows how to estimate local spatially-informed bivariate metrics, such as the spatially-informed Pearson correlation coefficient or Cosine similarity.OthersWe also refer users to theCell-cell communication chapterin thebest-practices guide from Theis lab. There we provide an overview of the common limitations and assumptions in CCC inference from (dissociated single-cell) transcriptomics data.APIFor further information please check LIANA'sAPI documentation.Cite LIANA+:Dimitrov D., Schäfer P.S.L, Farr E., Rodriguez Mier P., Lobentanzer S., Dugourd A., Tanevski J., Ramirez Flores R.O. and Saez-Rodriguez J. 2023 LIANA+: an all-in-one cell-cell communication framework. BioRxiv.https://www.biorxiv.org/content/10.1101/2023.08.19.553863v1Dimitrov, D., Türei, D., Garrido-Rodriguez M., Burmedi P.L., Nagai, J.S., Boys, C., Flores, R.O.R., Kim, H., Szalai, B., Costa, I.G., Valdeolivas, A., Dugourd, A. and Saez-Rodriguez, J. Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. Nat Commun 13, 3224 (2022).https://doi.org/10.1038/s41467-022-30755-0Similarly, please consider citing any of the methods and/or resources implemented in liana, that were particularly relevant for your research!
Package: liangutil
liangutil包说明：以Liang开头的类是单独写的类，以Utils结尾的都是基于第三方库封装的。函数详细说明请看代码注释。文档：https://will-liang.github.io/liangutil/安装pip install liangutil说明liangutils存放一些工具函数requestutilsRequestUtils基于Requests库的封装ChromeUtils基于selenium库的封装mysqlutilsMySQLUtils基于pymysql库的封装lianglogLiangLog依赖于MySQLUtils需要在mysql中建立表，字段如下字段名类型长度datetimevarchar32levelvarchar32namevarchar32contentvarchar255redisutilsRedisUtils基于redis库的封装minioutilsMinIOUtils基于minio库的封装更新日志2023年8月2023-08-280.1.11liangutils中增加了string_to_int()和string_to_float()用于将字符串转成整形和浮点型，check_string_latitude_longitude()检查字符串的纬度经度。2023-08-150.1.10liangutils中增加了关于json操作相关函数RequestUtils中的get()和post()对于参数进行了调整格式化代码风格0.1.9liangutils中增加了random_sleep()用于随机睡眠若干秒requestutils中增加了build_url()用于拼接url和参数2023-08-130.1.8liangutils中增加了find_all_files()用于获得目录下的所有子文件修复了一些Bug2023-08-110.1.7增加了kafkautils.py，包含基本的kafka操作2023-08-100.1.6RequestUtils的__init__增加了proxy_host参数RequestUtils中增加了用于下载文件、克隆代码仓库等方法liangutils中增加了uncompress()用于解压文件2023-08-090.1.5ChromeUtils中get_page_source()可以使用代理了，重试机制只适用于网页源码返回为<html><head></head><body></body></html>情况修复了一些Bug2023-08-040.1.4ChromeUtils增加隐藏浏览器特征和反屏蔽2023-08-030.1.3取消了某些函数的捕获异常修复了一些Bug2023-08-020.1.2更改了RequestUtils中的get、post方法参数列表名称，更符合使用requests库的习惯MySQLUtils增加了 update_datas() 、query_datas_dict_list()0.1.1统一了代码注释风格新增代码文档删除了无用函数改变了某些函数名称2023-08-010.1.0mysqlutils 中增加了查询等方法修复了一些Bug7月2023-07-310.0.8第一个发布版本
Package: lianyhaii
lianyhaiiusage第一步：安装与测试pip install lianyhaiiimport lianyhaiiprint(lianyhaii.__version__)第二步：准备数据、特征、参数importpandasaspdimportnumpyasnpimportlianyhaiiimportwarningsimportsyswarnings.filterwarnings('ignore')## 定义数据集、label、训练参数、特征名train=pd.DataFrame({'y':(np.random.random(size=500)>0.5).astype(int)})test=pd.DataFrame({'y':(np.random.random(size=500)>0.5).astype(int)})foriinrange(10):train[f'x{i}']=np.random.random(size=500)test[f'x{i}']=np.random.random(size=500)label='y'lgb_params={'objective':'binary','boosting_type':'gbdt','metric':'auc','early_stopping_rounds':50,'verbose':-1,}base_features=[f'x{i}'foriinrange(10)]以上是送进模型的主要准备工作，接下来会轻松不少第三步：快速模型测试mt=make_test(train,test,base_features=base_features,new_features=[],m_score=[[0.0,]],label=label,metrices=['auc'],log_tool=None)mt.init_CV(seed=412,CV_type='skFold',n_split=5)oof,pred=mt.lgb_test(lgb_params=lgb_params)## 得到oof和pred方便后续调整或者提交获奖经历2021 山东赛 公积金贷款逾期预测 A榜 rank2/xxx B榜 rank6/xxx2021 梧桐杯 5G潜客识别 B榜 rank7/xxx2022 招商银行Fintech  rank23/xxx   ->开源2022 搜狐校园 情感分析 × 推荐排序 算法大赛 rank5/xxx  ->开源
Package: liarcom
liarcom是基于python3的第三方Drcom登录器。由@EverybodyLies(https://github.com/Everyb0dyLies)开发维护。你可以使用 “pip install liarcom” 来安装，或从GitHub上clone完整代码，仓库地址是https://github.com/Everyb0dyLies/liarcom.git。运行环境要求： Python3, PyQt5图形界面模式支持Windows10，Ubuntu Desktop 1604，macOS命令行模式仅需python3环境即可，支持路由器等，但不支持非完整python环境，如mini版
Package: liasis
# The Liasis programming languageLiasis is an interpreted programming languagefor learn programming.Designed for code readability and written in python.## Installation1. `$ cd your/projects/directory`2. `$ git clone https://github.com/Saegl/liasis.git``$ cd liasis`3. install [python3](https://www.python.org) and dependencies with pip`$ pip3 install -r requirements.txt`### Use- Run interactive console:`python liasis.py run` or `python3 liasis.py run`- Run examples from liasis_examples/ directory.`python liasis.py file "liasis_examples/math.lia" -i`
Package: liat-ml-roberta
liat_ml_robertaRoBERTa trained on Wikipedia Dump.How to installCan use pip to install.pipinstallliat_ml_robertaHow to useThe loaded models and configurations can be used in the same way astransformers.roberta.fromliat_ml_robertaimportRoBERTaTokenizerdefmain():tokenizer=RoBERTaTokenizer.from_pretrained(version="en_20190121_m10000_v24000_base")print(tokenizer.tokenize("This is a pen."))config=RoBERTaConfig.from_pretrained("roberta_base_en_20190121_m10000_v24000_u125000")model=RoBERTaModel.from_pretrained("roberta_base_en_20190121_m10000_v24000_u125000",config=config)if__name__=="__main__":main()Modelsnamelangsizebpe mergesvocab sizeupdateswikipedia versionroberta_base_ja_20190121_m10000_v24000_u125000jaroberta-base100002400012500020190121roberta_base_ja_20190121_m10000_v24000_u500000jaroberta-base100002400050000020190121roberta_base_en_20190121_m10000_v24000_u125000enroberta-base100002400012500020190121roberta_base_en_20190121_m10000_v24000_u500000enroberta-base100002400050000020190121roberta_base_fr_20190121_m10000_v24000_u500000frroberta-base100002400050000020190121roberta_base_de_20190121_m10000_v24000_u500000deroberta-base100002400050000020190121
Package: li-autenticador
# LI-Autenticador## Versão:[![PyPi version](https://pypip.in/v/li-autenticador/badge.png?style=flat)](https://pypi.python.org/pypi/li-autenticador)[![PyPi downloads](https://pypip.in/d/li-autenticador/badge.png?style=flat)](https://pypi.python.org/pypi/li-autenticador)## Build Status### Master[![Build Status](https://travis-ci.org/lojaintegrada/LI-Autenticador.svg?branch=master)](https://travis-ci.org/lojaintegrada/LI-Autenticador)[![Coverage Status](https://coveralls.io/repos/lojaintegrada/LI-Autenticador/badge.svg?branch=master)](https://coveralls.io/r/lojaintegrada/LI-Autenticador?branch=master)## DescriçãoPossibilita adicionar autenticação simples a API baseada em Flask.## ExemploEm um módulo que seja acessível a API, de preferência no mesmo onde a App Flask é criada implemente:módulo app.py```pythonfrom flask import Flaskimport autenticacao_apiautenticacao = autenticacao_api.autenticacao()autenticacao.define_valor('chave_necessario', 'VALOR-NECESSARIO')app_flask = Flask("App")```No código que precise de autenticação, faça:módulo recursos.py```pythonimport app@app.app_flask.route("/secure")@app.autenticacao.requeridodef secure():return "Autenticado!"```
Package: lib0308
lib0308 LibraryA simple Python library to play various card games, including High-Low, and B
lackjack.InstallationInstall the package using pip:pip install lib0308UsageAdd players, deal cards, etc.### High-Low
```python
from lib0308.high_low import HighLow
game = HighLow()
game.start_game()
# Draw cards, compare cards, etc.Blackjackfromlib0308.blackjackimportBlackjackgame=Blackjack()game.start_game()# Add players, deal cards, hit, stand, etc.LicenseThis project is licensed under the MIT License - see the LICENSE file for det
ails.
Package: lib2dlp
InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Supported Python VersionsPython >= 2.7.14Deprecated Python VersionsPython == 2.7. Python 2.7 support will be removed on January 1, 2020.Linuxpip install virtualenv
<your-env>/bin/pip install lib2dlpWindowspip install virtualenv
<your-env>\Scripts\pip.exe install lib2dlpPreviewQQCapturedefQQCapture():sysstr=platform.architecture()ifsysstr[0]=='64bit':printu"暂不支持64位系统"returnFalseelse:try:dll=ctypes.cdll.LoadLibrary("lib\\CameraDll.dll")exceptExceptionase:print("Dll load error!")returnelse:try:dll.CameraSubArea(0)exceptExceptionase:print("Sth wrong in capture!")returnTruereturnTrue
Package: lib2fas
lib2fas PythonUnofficial implementation of 2fas for Python (as a library).InstallationTo install this project, use pip:pipinstalllib2fas# or to also install the cli tool:pipinstall2fasUsageAfter installing the package, you can import it in your Python scripts as follows:importlib2fasservices=lib2fas.load_services("/path/to/file.2fas",passphrase="optional")# -> TwoFactorStorageservices.generate()# generate all TOTP keysgithub=services.find("githbu")# fuzzy match should find GitHub, returns a new TwoFactorStorage.forlabel,servicesingithub.items():# one label can have multiple services!forserviceinservices:print(label,service.name,service.generate_int())LicenseThis project is licensed under the MIT License.
Package: lib2nbdev
lib2nbdevAn all-inclusive package for converting your existing libraries and projects intonbdevones. Developed by Novetta.nbdevis a fantastic workflow aimed at centralizing documentation, testing, and source code generation all out of one place: Jupyter Notebooks. However, what if you already have an existing project? As it stands the only way to convert your library over is through manual tasks (which can take > 30 hrs!).lib2nbdevis the solution!Instead, we can perform a one-time conversion on any existing library. During the conversion process the library will help you generate a propersettings.iniconfiguration file for your project. However you can also generate your ownsettings.iniand put it in your project's core directory, such as:lib2nbdevsettings.inilib2nbdevconvert.pyFor generating a validsettings.ini, see an examplehereand the related nbdevdocumentationInstallpip install lib2nbdevHow to useFrom your project directory (in bash), simply run:convert_libAnd it will automatically generate the notebooks needed, as well as privatizing any functions that may need it (anything preceding with a_in the name) where they shouldn't show in the generated documentation.Afterwards you have a fully-functionalnbdevlibrary, and can make use of all its goodies!Note for Windows Users:If you wish to use this library you should either:UseWindows Subsystem for Linux(WSL2)Use the Python3 interpreter in Windows:python3from lib2nbdev.convert import convert_lib; convert_lib()Important Notice:This is a one-time conversion, this does not allow for repeated python -> notebook conversions.
Package: lib2nbdev2
lib2nbdev2nbdevis a fantastic workflow aimed at centralizing
documentation, testing, and source code generation all out of one place:
Jupyter Notebooks. However, what if you already have an existing
project? As it stands the only way to convert your library over is
through manual tasks (which can take > 30 hrs!).lib2nbdev2is the solution!Instead, we can perform a one-time conversion on any existing library.
During the conversion process the library will help you generate a
propersettings.iniconfiguration file for your project. However you
can also generate your ownsettings.iniand put it in your project’s
core directory, such as:lib2nbdevsettings.inilib2nbdevconvert.pyFor generating a validsettings.ini, see an examplehereand the related nbdevdocumentationInstallpip install lib2nbdev2How to useFrom your project directory (in bash), simply run:convert_libAnd it will automatically generate the notebooks needed, as well as
privatizing any functions that may need it (anything preceding with a_in the name) where they shouldn’t show in the generated
documentation.Afterwards you have a fully-functionalnbdevlibrary, and can make use
of all its goodies!Note for Windows Users:Not tested on windowsImportant Notice:This is a one-time conversion, this does not allow for repeated python
-> notebook conversions.
Package: lib2opds
Lib2OPDSlib2opdsgeneratesOPDS(version 1.2) catalog for local e-book library so it can be hosted utilizing web server. Currently meta data extraction is supported only for ePUB format.FeaturesDirectory hierarchy supportVirtual directories: new books, authors, etc.ePUB format: metadata extraction, thumbnail generationPDF format: metadata extraction, thumbnail generation"Lazy" updating of feeds.lib2opdsre-generates feeds only when new files are added into the librarySidecar files for metadata extractionGlobal and local configuration files as well as command line optionsCaching for better processing of libraries with many booksHow to installlib2opdsis distributed on PyPI. The best way to install it is withpipx.pipx install lib2opdsHow to use$ tree ./test-library/
./test-library/
├── Linux
│   └── How Linux Works - Brian Ward.epub
└── Science Fiction
    ├── All Systems Red.epub
    └── I, Robot - Isaac Asimov.epub

$ lib2opds --opds-base-uri "/opds/" --library-base-uri "/library/" --library-dir "./test-library" --opds-dir "./output"

$ tree ./output/
./output/

├── covers
│   ├── 03e1b3fe-66b2-43eb-b9f1-da72813419e2
│   ├── 14cdd72c-680c-491c-a017-ddd0d2dbb1d2
│   └── e01dab66-3f78-402a-9ac8-83ebc6b24f11
├── feeds
│   ├── 101bcb13-37bf-4e13-a543-22c5ff3567d3.xml
│   ├── 127ae484-af53-4056-9cff-517984321e26.xml
│   └── db1d5760-72f5-4f23-af42-d9d6406207c9.xml
└── index.xml/etc/lib2opds.iniis used by default and options can be overridden via command line arguments.Example of configuration file for Nginx:location/library{alias/library-dir;}location/opds{auth_basic"LibraryArea";auth_basic_user_file/etc/nginx/htpasswd;alias/opds-dir;indexindex.xml;}location/opds/covers{alias/opds-dir/covers;}Library location here is not protected with basic auth because of the bug in some e-book reader software.Tested devices and applicationsPocketBook devices with "Network Libraries" featureKyBook 3 eBook ReaderFoliateeBook Reader
Package: lib2to3import
lib2to3import is a utility to apply Python 2 to 3 code translation on import.w/o lib2to3import>>> from py2codes import py2_print
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "py2codes/py2_print.py", line 1
    print "Written when Python 2 was majority."
                                              ^
SyntaxError: Missing parentheses in call to 'print'With lib2to3import>>> from lib2to3import import lib2to3importer, prepending
>>> fixers = ["lib2to3.fixes.fix_print"]
>>> with prepending(lib2to3importer(fixers, "py2codes.")):
...     from py2codes import py2_print
...
Written when Python 2 was majority.LimitationThere’s no way to apply fixes to 2 different roots concurrently.When you apply fixes to both ‘foo.module’ and ‘bar.module’ at one time, you
have to leave out prefix parameter, that makes fixes applied to all of modules
and packages to be imported.Concurrent import:from lib2to3import import lib2to3importer, prepending
fixers = ["lib2to3.fixes.fix_print"]

with prepending(lib2to3importer(fixers)):
    import foo.module  #  import chain: 1. foo.module -> 2. bar.module2 steps import (Recommended):from lib2to3import import lib2to3importer, prepending
fixers = ["lib2to3.fixes.fix_print"]

with prepending(lib2to3importer(fixers, "bar.")):
    import bar.module  # ... 2

with prepending(lib2to3importer(fixers, "foo.")):
    import foo.module  # ... 1
Package: liba
An algorithm library {#mainpage}documentationC/C++LuaJavaRustrequired toolsC/C++ compiler:tccorgnuorllvmormsvcetcoptional toolsluajavarustemsdkxmakecmakeconanvcpkgmesonpythonquickjsbuildxmakexmakef
xmake
xmakeicmakecmake-S.-Bbuild
cmake--buildbuild
cmake--installbuildmesonmesonsetupbuilddir
mesoninstall-Cbuilddirvcpkgcmake-S.-Bbuild-DLIBA_VCPKG=1cp-rbuild/vcpkg/*$VCPKG_INSTALLATION_ROOTcp-r-Forcebuild/vcpkg/*$ENV:VCPKG_INSTALLATION_ROOTconanconancreate.cargocargobuild--releasecythonpythonsetup.pybuild_ext--inplaceusageC/C++xmake.luaadd_requires("alib")-- staticadd_requires("liba")-- sharedCMakeLists.txtfind_package(libaCONFIGREQUIRED)target_link_libraries(<TARGET>PRIVATEalib)# statictarget_link_libraries(<TARGET>PRIVATEliba)# sharedconanfile.txt[requires]
liba/[~0.1]Lualuarocksinstallliba# releaseluarocksinstall--server=https://luarocks.org/devliba# latestlocalliba=require("liba")print("version",liba.VERSION)JavapublicclassMain{publicstaticvoidmain(String[]args){System.out.println("version "+liba.VERSION);}}RustCargo.toml[dependencies]liba={git="https://github.com/tqfx/liba.git"}main.rsuseliba;fnmain(){println!("version {}.{}.{}+{}",liba::version::major(),liba::version::minor(),liba::version::patch(),liba::version::tweak());}Pythonpipinstallliba# releasepipinstallgit+https://github.com/tqfx/liba.git# latestmain.pyimportlibaprint("version",liba.VERSION)JavaScriptnpmi@tqfx/libaindex.jsimportlibafrom"@tqfx/liba";console.log(liba.VERSION)QuickJSmain.jsimport*aslibafrom"liba.so";console.log("version",liba.VERSION)Copyright {#copyright}Copyright (C) 2020-present tqfx, All rights reserved.This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one athttps://mozilla.org/MPL/2.0/.
Package: libABCD
Autonomous Bariloche Central DAQconceptThe main concept for the DAQ is that it orbits around a central server.
Control and information run through this server allowing a permanent
follow-up of what is happening. The raw data is handled by the clients
themselves and is not seen by the DAQ. The central server is a MQTT
broker. We recommend using mosquitto.codeAll the code is in the libABCD directory. Documentation forinit,publish,subscribe,unsubscribeandadd_callbackcan be found
as docstrings (more accesible documentation upcoming).
Package: libacbf
libacbfA Python library to read and edit ACBF formatted comic book files and archives.XML Specifications here:https://acbf.fandom.com/wiki/Advanced_Comic_Book_Format_WikiInstallationpip install libacbfSeeInstallation and Dependenciesfor moreinformation.DocumentationRead the documentation here.https://libacbf.readthedocs.io/en/stable/Quick TutorialAPI Reference
Package: libacmchristmas
christmas-client-py/libacmchristmaslibacmchristmas(also known aschristmas-client-pyto comply with the acmChristmas naming scheme)
is a library for interacting with the acmChristmas tree using Python code. It is the counterpart
ofdiamondburned'schristmas-client-js,
and interacts withchristmasdservers usingWebSockets.InstallationDownload from PyPI:pip3installlibacmchristmas==0.1.5UsageView our wiki:https://github.com/acmCSUFDev/christmas-client-py/wiki
Package: libacr
ACR is an open source Python content management system library for  Turbogears
It provides a set of tools to implement CMS functions inside any Turbogears2 application and comes with ACRCms which is a simple and free web content management system implemented with ACR as an example of how to use the library.ACR divides pages in Slices, which define what should be placed, where it should be placed and how it should be displayed
Each Content can be used in more then one Slice and Slices can be rendered in both complete and preview mode.
Using this interaction you can produce behaviours like having your blog post in its own page and a preview of it inside your main page, or have a photo/video and a preview of it inside your media gallery. ACR already supports previews of HTML documents, images and videos by generating thumbnails for the last two.ACR currently supports:Multilanguage Content SupportAutomatic translation using Google when translating content to a new languageContent versioning and revertImage GalleriesVideo GalleriesNews/Blog? SectionsUsers permissionsAutogenerated Vertical/Horizontal? MenusInternal Search EngineFile AttachmentsRemote Disk to upload and manage filesRSS IntegrationTwitter IntegrationStatic and Dynamic Google MapsComments by usersAutomatic Forms generation with email submission of data
Package: libadapt
Aboutlibadapt is a generic framework to add adaptivity to game-based learning
(GBL) applications.This library implements the following architecture:+-----------------------------+
              |                             |
              |                             v
              |                         Measured Variables
              |                             |
              |                             | Value                                  Algorithmical Optimisation
              |                             v                                      /
Player -> Interaction    Evaluation <-  Adaptation Function <- Reference Progress <- Author
              ^                             |                                      \     |
              |                             |                                        Mean Values from Test Series
              |                             v                                            |
              |                         Adaptation Threshold <---------------------------+
              |                             |
              |                             v
              |                         Evaluation and Decision-making
              |                             |
              |                             | Goal-oriented Changes
              |                             v
              |                         Manipulated Variables
              |                             |
              +-----------------------------+Adaptor.adapt_to() should be called from the main loop of an
interactive application with updated measurement to base the adaptation
on.The internal calling order is:Adaptor.adapt_to()

    Adaptor.quantify()

    Adaptor.log()

    Adaptor.compare()

    Adaptor.check_threshold()

    Adaptor.intervene()It is based on an architecture first published in:Florian Berger. Evaluating an implementation of an adaptive game-based
learning architecture. In Proceedings of UMAP 2012, 2012PrerequisitesPythonhttp://www.python.orgInstallationUnzip the file, then at the command line runpython setup.py installDocumentationTo read the API documentation, open a shell / DOS window, navigate to
the libadapt directory, and runpydoc libadaptYou can create a HTML version usingpydoc -w libadaptLicenselibadapt is licensed under the GPL. See the file COPYING for details.AuthorFlorian Berger
Package: libagnos
Agnosis across-language,cross-platform, lightweight RPC framework
with support for passing objectsby-valueorby-reference. Agnos is meant
to allow programs written in different languages to easily interoperate,
by providing the needed bindings (glue-code) and hiding all the details from
the programmer. The project essentially servers the same purpose as existing
technologies likeSOAP,WSDL,CORBA, and others, but takes aminimalist approachto the issue at hand.