Saravanan666/pypi-org huggingface dataset:
Package: emmodel
[![Build Status](https://github.com/ihmeuw-msca/emmodel/workflows/python-build/badge.svg)](https://github.com/ihmeuw-msca/emmodel/actions)
[![PyPI Version](https://badge.fury.io/py/emmodel.svg)](https://badge.fury.io/py/emmodel)# Excess Mortality ModelThis package contains the excess mortality model accounting for seasonality pattern and yearly trend.
It also contains a experimental “Cascade” framework for hierarchical model.## Install
To install the package` pip install emmodel `It require packagesregmodmatplotlib
Package: emmv
EMMVImplementation of EM/MV metrics based on N. Goix et al.This is a means of evaluating anomaly detection models without anomaly labelsInstallationpipinstallemmvExample Usefromemmvimportemmv_scorestest_scores=emmv_scores(model,features)Where 'model' is yourtrainedscikit-learn, PyOD, or PyCaret modelWhere 'features' is a 2D DataFrame of features (theXmatrix)Example resulting object:{"em":0.77586,"mv":0.25367}If you are using models without a built-indecision_function(e.g. Keras or ADTK models), then you need to specify an anomaly scoring function. Please see examples in the examples folder.Running Examplespipinstall.
python./examples/sklearn_example.pyInterpreting scoresThe best model should have thehighestExcess Mass scoreThe best model should have thelowestMass Volume scoreProbably easiest to just use one of the metricsExtreme values are possibleContactPlease feel free to get in touch atchristian.oleary@mtu.ieCitation@Misc{emmv,
author ={Christian O'Leary},
title ={EMMV library},
howpublished ={\url{https://pypi.org/project/emmv/}},
year ={2021--2021}}
Package: emnify-sdk
emnify Python SDKSupply your swarm of IoT devices with cloud connectivity byemnify.
Automate your routines with this SDK for Python.InstallationPrerequisitesPython (version 3.6.0or higher)Install from sourcegitclonehttps://github.com/emnify/emnify-sdk-python.gitcdemnify-sdk-python
pythonsetup.pyinstallInstall with pipThe emnify Python SDK is also available onPyPI asemnify-sdk:pipinstallemnify-sdkDocumentationRead more about working with the Python SDK and the underlying concepts in theemnify product documentation.API referenceWe usesphinx-autoapito auto-generate the API reference documentation within this repository.
This documentation is hosted separately onGitHub Pages.🗺️Note: We plan to eventually migrate the API reference documentation into ourproduct documentation platform.See ourdocumentation guideif you're interested in contributing to the API reference or running the documentation locally.ContributingIf you've found a bug or want to add new features,open an issueorcreate a pull requestto this GitHub repository.See ourdevelopment guidefor how to get started.Please note that this project is governed byemnify's Code of Conduct. By participating, you agree to abide by its terms.Get supportIf you need help using our services, pleasefile a support ticket.
Package: emnist
EMNISTExtended MNIST - Python PackageThe EMNIST DatasetThe EMNIST Dataset is an extension to the original MNIST dataset to also include letters. For more details, see
theEMNIST web pageand thepaperassociated with its release:Cohen, G., Afshar, S., Tapson, J., & van Schaik, A. (2017).
EMNIST: an extension of MNIST to handwritten letters.
Retrieved fromhttp://arxiv.org/abs/1702.05373The EMNIST Python PackageThis package is a convenience wrapper around the EMNIST Dataset. The package provides functionality to
automatically download and cache the dataset, and to load it as numpy arrays, minimizing the boilerplate
necessary to make use of the dataset. (NOTE: The author of the Python package is not affiliated in any way
with the authors of the dataset and the associated paper.)InstallationTo install the EMNIST Python package along with its dependencies, run the following command:pip install emnistThe dataset itself is automatically downloaded and cached when needed. To preemptively download the data
and avoid a delay later during the execution of your program, execute the following command after
installation:python -c "import emnist; emnist.ensure_cached_data()"Alternately, if you have already downloaded the original IDX-formatted dataset from the EMNIST web page,
copy or move it to~/.cache/emnist/, where~is your home folder, and rename it fromgzip.ziptoemnist.zip. The package will use the existing file rather than downloading it again.UsageUsage of the EMNIST Python package is designed to be very simple.To get a listing of the available subsets:>>>fromemnistimportlist_datasets>>>list_datasets()['balanced','byclass','bymerge','digits','letters','mnist'](See theEMNIST web pagefor details on each of
these subsets.)To load the training samples for the 'digits' subset:>>>fromemnistimportextract_training_samples>>>images,labels=extract_training_samples('digits')>>>images.shape(240000,28,28)>>>labels.shape(240000,)To load the test samples for the 'digits' subset:>>>fromemnistimportextract_test_samples>>>images,labels=extract_test_samples('digits')>>>images.shape(40000,28,28)>>>labels.shape(40000,)Data is extracted directly from the downloaded compressed file to minimize disk usage, and is returned
as standard numpy arrays.
Package: emo
![emo. command line emoji search.](http://i.imgur.com/7JDtvNi.png)
# emoCommand line emoji search.# Installationpip install emo# Usage$ emo pray fire
🙏 🔥Emo can also copy straight to the clipboard:$ emo tree fire cloud –copy
🌴 🔥 ☁There are also –list and –all arguments if you just want to see what’s available.And that’s all it does!# See Also[Vape](https://github.com/Miserlou/Vape)[Trapify](https://github.com/Miserlou/Trapify)[Zalgo](https://github.com/Miserlou/Zalgo)Rich Jones 2014.
Package: emo-connect-python
emo-connect-pythonPython library for connecting and interacting with an EMO petUsagepipinstallemo-connect-pythonExampleimportasyncioimportjsonimportloggingfromemoconnect.EmoConnectManagerimportEmoConnectManagerfromemoconnect.ble.requestimportStateRequestlogging.basicConfig(format='[EMO]%(asctime)s%(levelname)s%(message)s')logger=logging.getLogger()# can be changed to logging.DEBUG for debugging issueslogger.setLevel(logging.INFO)asyncdefmain():ecm=EmoConnectManager()awaitecm.connectToEmo()state=awaitecm.sendRequest(StateRequest.everything())print(state)awaitecm.disconnect()asyncio.run(main())
Package: emodbus
DescriptionVersion: 0.0.1
python 2.x,3.xProject easy Modbus.In this package you can connect in TCP, RTU or ASC mode in modbus usign a mask to collect everything from your deviceDonatePIX: +55 31 99101-8619ContactURL:http://estaleiroweb.com.brGIT:https://github.com/estaleiroweb/emodbusInstalationpip install emodbusUpgradepip install emodbus -upgradeUseimportemodbusasemb# connect to bus of devicestcp=emb.ConnTCP('192.168.1.45')rtu=emb.ConnRTU('COM4')# define default MIB# {name: (Address:int,functionCode:int,callbackFunction_modbustype:'None|str|tuple|list'),....},addrs={'Temperature':[1,4,('Dec',{'dec':1})],'Humidy':[2,4,['Dec',{'dec':1}]],'TemperatureRaw':[1,4],'HumidyRaw':[2,4],}emb.Conn.defSlave(1,addrs)# Read MIB of any slave of the connectionprint('TCP MIB Slave 1',tcp.slave(1)(),sep=':')print()# define MIB of connection/slavetcp.slave(1,addrs)# read all MIBslaves=[1]forslaveinslaves:print('Read All Slave ',slave)print('TCP',tcp.read(slave),sep=':')print('RTU',rtu.read(slave),sep=':')print()# read only some addressaddr=['Temperature','xxxxxxxxxx','Humidy']forslaveinslaves:print('Read Slave '+str(slave),addr,sep=':')print('TCP',tcp.read(slave,addr),sep=':')print('RTU',rtu.read(slave,addr),sep=':')
Package: emodel-generalisation
emodel-generalisationGeneralisation of neuronal electrical models on a morphological population with Markov Chain Monte-Carlo.This code accompanies the paper:Arnaudon, A., Reva, M., Zbili, M., Markram, H., Van Geit, W., & Kanari, L. (2023). Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. iScience, 2023.InstallationThis code can be installed viapipwithgit clone git@github.com:BlueBrain/emodel-generalisation.git
pip install .ExamplesWe provide several examples of the main functionalities of theemodel-generalisationcode:run MCMC on a simple single compartment model inexamples/mcmc/mcmc_singlecomprun MCMC on a simple multi-compartment model inexamples/mcmc/mcmc_simple_multicomprun the entire generalisation worklow on a simplified version of the L5PC model of the paper inexamples/workflowprovide all the scripts necessary to reproduce the figures of the paper. For the scripts to run, one has to download the associated dataset on dataverse  with the scriptget_data.shinexamples/paper_figuresCitationWhen you use theemodel-generalisationcode or method for your research, we ask you tocite:Arnaudon, A., Reva, M., Zbili, M., Markram, H., Van Geit, W., & Kanari, L. (2023). Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. iScience, 2023.To get this citation in another format, please use theCite this repositorybutton in the sidebar of thecode's github page.Funding & AcknowledgmentThe development of this code was supported by funding to the Blue Brain Project, a research
center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH
Board of the Swiss Federal Institutes of Technology.For license and authors, seeLICENSE.txtandAUTHORS.mdrespectively.Copyright 2022-2023 Blue Brain Project/EPFL
Package: emodjis
emodjisEmojis is a work inspired fromcustom-emoji-serverwith the objective of using our Slack emoticons into Teams.
The backend is only a part of the project and more is going on to use the service in Teams on the frontend side.DependenciesDjangofor fast app developmentDjango Rest Frameworkfor APIsDRF Spectacularfor API documentationInstallpip install emodjisConfigure for developmentsettings.pyAdd the following values to INSTALLED_APPS[
  "rest_framework",
  "django_filters",
  "drf_spectacular",
  "corsheaders",
  "emodjis",
]Set SPECTACULAR_SETTINGS and REST_FRAMEWORK in your settings.environment variablesSet the following environment variables (you can use a .env file)SERVER_URL=http://127.0.0.1:8000
CORS_ALLOWED_ORIGINS=http://127.0.0.1:8000
CSRF_TRUSTED_ORIGINS=http://127.0.0.1:8000
DB_ENGINE=django.db.backends.sqlite3
DB_NAME=emojis.sqlite3
DB_HOST=
DB_USER=
DB_PASSWORD=
DB_PORT=
DEBUG=True
ALLOWED_HOSTS=127.0.0.1Configure for productionAddemodjisto your INSTALLED_APPS migrate and collect static files.
Package: emogenerator
Author:Jonathan Wight <jwight@mac.com>description:Estranged Managed Object GeneratorGoalPython tool to generate Objective-C wrappers for CoreData object models. emogenerator is inspired by Jonathan “Wolf” Rentzsch’smogeneratortool.emogenerator also uses special comment ‘guard’ sections in the generated code to allow you to mix and match your code with auto-generated code. emogenerator also uses a mature and well maintained template system (genshi) to generate Objective-C source.InstallWithsetuptools:$ easy_install -U emogeneratorUsageIn a directory containing a CoreData .xcdatamodel (or .xcdatamodeld) file:Usage: emogenerator [options] [INPUT]Options:--versionshow program’s version number and exit-h,--helpshow this help message and exit--momc=MOMCThe momc compiler program to use when converting
xcdatamodel files to mom files (default:
‘/Developer/usr/bin/momc’)-iINPUT,--input=INPUTThe input xcdatamodel or mom file (type is inferred by
file extension).-oOUTPUT,--output=OUTPUTOutput directory for generated files.-tTEMPLATE,--template=TEMPLATEDirectory containing templates.-cCONFIG,--config=CONFIGPath to config plist file (values will be passed to
template engine as a dictionary)-v,--verboseset the log level to INFO--loglevel=LOGLEVELset the log level, 0 = no log, 10+ = level of logging--logfile=LOG_FILEFile to log messages to. If - or not provided then
stdout is used.
Package: emohawk
emohawkA format-agnostic Python interface for geospatial data.DISCLAIMER:
This project isBETAand will beExperimentalfor the foreseeable future.
Interfaces and functionality are likely to change, and the project itself may be scrapped.DO NOTuse this software in any project/software that is operational.Workflow for developers/contributorsFor best experience create a new conda environment (e.g. DEVELOP) with Python 3.10:conda create -n DEVELOP -c conda-forge python=3.10
conda activate DEVELOPBefore pushing to GitHub, run the following commands:Update conda environment:make conda-env-updateInstall this package:pip install -e .Sync with the latesttemplate(optional):make template-updateRun quality assurance checks:make qaRun tests:make testRun the static type checker:make type-checkBuild the documentation (seeSphinx tutorial):make docs-buildLicenseCopyright 2022, European Centre for Medium Range Weather Forecasts.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: emojaddress
emojaddressEmoji mnemonic for Ethereum and Bitcoin addresses.FeaturesBitcoin and Ethereum address are hard to short-memorize when you navigate websites like etherscan.io or blockchain.info. This project is to ease thatTransalates address into mnemonicSupports mnemonic for English, Chinese and EmojiDeterministic wallets use mnemonic for private key. The same idea can be applied to public address. It’s a matter of encoding eventually. The BTC and Ethereum public addresses are based on a 20 bytes (160 bit) integer. Each dictionary’s size is 2048. The address is encoded in 15 mnemonic to cover the entropy.The JavaScript version is atJS emojaddressInstall>pipinstallemojaddressOnlysupports Python3ExampleIn[1]:fromemojaddress.addressimportAddressIn[2]:address=Address()# see examples in these test casesSee example usages hereThe difference in an Etherscan pageCreditsBIP dictionary based onbitcoin projectUnicode EmojiUnicode EmojiEmoji unicodes are copied from theEmoji Python projectCredits2This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2018-08-04)First release on PyPI.
Package: emoji
Emoji for Python.  This project was inspired bykyokomi.ExampleThe entire set of Emoji codes as defined by theUnicode consortiumis supported in addition to a bunch ofaliases.  By
default, only the official list is enabled but doingemoji.emojize(language='alias')enables
both the full list and aliases.>>>importemoji>>>print(emoji.emojize('Python is :thumbs_up:'))Pythonis👍>>>print(emoji.emojize('Python is :thumbsup:',language='alias'))Pythonis👍>>>print(emoji.demojize('Python is 👍'))Pythonis:thumbs_up:>>>print(emoji.emojize("Python is fun :red_heart:"))Pythonisfun❤>>>print(emoji.emojize("Python is fun :red_heart:",variant="emoji_type"))Pythonisfun❤️#red heart, not black heart>>>print(emoji.is_emoji("👍"))TrueBy default, the language is English (language='en') but also supported languages are:Spanish ('es')Portuguese ('pt')Italian ('it')French ('fr')German ('de')Farsi/Persian ('fa')Indonesian ('id')Simplified Chinese ('zh')Japanese ('ja')Korean ('ko')Russian ('ru')Arabic ('ar')Turkish ('tr')>>>print(emoji.emojize('Python es :pulgar_hacia_arriba:',language='es'))Pythones👍>>>print(emoji.demojize('Python es 👍',language='es'))Pythones:pulgar_hacia_arriba:>>>print(emoji.emojize("Python é :polegar_para_cima:",language='pt'))Pythoné👍>>>print(emoji.demojize("Python é 👍",language='pt'))Pythoné:polegar_para_cima:️InstallationVia pip:$python-mpipinstallemoji--upgradeFrom master branch:$gitclonehttps://github.com/carpedm20/emoji.git$cdemoji$python-mpipinstall.Developing$gitclonehttps://github.com/carpedm20/emoji.git$cdemoji$python-mpipinstall-e.\[dev\]$pytest$coveragerun-mpytest$coveragereportTheutils/get_codes_from_unicode_emoji_data_files.pyis used to generateunicode_codes/data_dict.py. Generally speaking it scrapes a table on theUnicode Consortium’s websitewithBeautifulSoupand prints the contents tostdoutas a Python dictionary. For more
information take a look in theutils/README.mdfile.LinksDocumentationhttps://carpedm20.github.io/emoji/docs/Overview of all emoji:https://carpedm20.github.io/emoji/(auto-generated list of the emoji that are supported by the current version of this package)For English:Emoji Cheat SheetOfficial Unicode listFor Spanish:Unicode listFor Portuguese:Unicode listFor Italian:Unicode listFor French:Unicode listFor German:Unicode listAuthorsTaehoon Kim /@carpedm20Kevin Wurster /@geowursterMaintainerTahir Jalilov /@TahirJalilov
Package: emoji2
emoji2Search emoji by keywords in terminal.Free software: MIT licenseDocumentation:https://emoji2.readthedocs.io.FeaturesSearch emoji by keywords in terminal.Easily add emoji anywhere.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.1 (2020-06-06)🐛 fix a request error when there is no emoji.0.2.0 (2020-06-06)✨ Default to give the first emoji after searching some keywords.✨ Add shortcodes to some emojis and beautify the output.0.1.0 (2020-06-05)🎉 First release on PyPI.
Package: emoji2text
Take a string with emoji in it. Convert them into their text based
names.fromemoji2textimportemoji2textemoji2text("""
Take a 🎁 of emoji like 🥑, 😞 or 🤮
and convert them to 🔠 🔡
and you'll be feeling all
🙌🏾 💪🏻 👩‍🔬 👨‍💻 💯 🎊!
""")# Take a wrapped gift of emoji like avocado, disappointed face or face vomiting# and convert them to input latin uppercase input latin lowercase# and you'll be feeling all# raising hands: medium-dark skin tone flexed biceps: light skin tone woman scientist man technologist hundred points confetti ball!You can also wrap them to help differenciate each emoji like so:emoji2text("😀😂😂😎",":")# :grinning face::face with tears of joy::face with tears of joy::smiling face with sunglasses:emoji2text("😀😂😂😎","<",">")# <grinning face><face with tears of joy><face with tears of joy><smiling face with sunglasses>To install, usepippip install emoji2textOnly supports Python 3 and emoji version 5.0 (2017). If someone is
interested in increasing support I’d be happy to look at any PR.If you spot any errors, please create an issue with a failing input and
expected result.Only possible thanks to the very helpfulgraphememodule.
Package: emojibase
BaseEmojiBaseEmoji is a python module for encoding any ASCII string or byte object into emoticons and back. It can be used to hide information in text conversations, e.g. chat or twitter or to display hashes in a graphica/more comparable way.It supports two codecs: anybase and group256. This module is also the reference implementation of these two codecs.Made with ❤️ at 36c3!InstallpipinstallemojibaseView on PyPi viahttps://pypi.org/project/emojibase/Usageanybaseanybase is a BaseEmoji codec which works by converting the input to the base of the amount of emojis, set by the filter.importBaseEmojie=BaseEmoji.anybase()e.encode('giv mee emojiiis'.encode())# ✴️🥎🐑⛈️🈺🚉‭⚕️🚅🇵🇪🥏🥇📍e.decode('✴️🥎🐑⛈️🈺🚉‭⚕️🚅🇵🇪🥏🥇📍').decode('ascii')# giv mee emojiiisgroup256This codec distributes all (filtered) emojis to 256 groups. With this, it can encode any ASCII string to emojis.importBaseEmojie=BaseEmoji.group256()e.encode('giv mee emojiiis')# 😸😻💖🤨😿🤖🥔🐢🕢🧅🙈😼🥒🕤💸💌e.decode('😸😻💖🤨😿🤖🥔🐢🕢🧅🙈😼🥒🕤💸💌')# giv mee emojiiisFiltersThere are currently three filter options for changing the emojis for en/decoding:Groups (e.g. flags)Skin Tone SupportUnicode Versione.set_filter(['Symbols'],False,12.0)e.encode('giv mee symbol emojiiis'.encode())# 📛⭕✳️⬅️✖️⚜️⚜️⬅️➰‼️✖️⚕️❎✔️⬅️⚜️✖️❎✅⭕⭕⭕➰e.get_groups()# {'Smileys & Emotion', 'Travel & Places', 'Activities', 'Flags', 'Animals & Nature', 'Symbols', 'People & Body', 'Objects', 'Food & Drink'}RoadmapAdd filter options to encoded data for automatic decodingCreditsInspired byCuteUIDEmoji data frommuanJonas
Package: emojichat
Emoji ChatChat by emojis with the help of ChatGPT 😊Emoji Chat (emojichat) is a Python package that leverages the capabilities of GPTs such as
ChatGPT to transform text into emojis or generate sentences from emojis.
It provides easy-to-use functions that allow users to easily convert their text
to emojis or generate emoji-based sentences with just one line of code.With Emoji Chat, users can add creativity to their chat messages or social media posts.
It is a good tool for anyone looking to add some fun and creativity to their text.EmojizeEmojize text to emojis.importopenaifromemojichatimportemojizeopenai.api_key="YOUR-API-KEY"content="I am ok in the morning, but feel bad at night."emojize(content,temperature=0)# "🙂🌅➡️😔🌃"content="I ate some pizza tonight."emojize(content,temperature=0)# "🍕🌃🍽️"DemojizeGenerate paragraph from any emojis.importopenaifromemojichatimportdemojizeopenai.api_key="YOUR-API-KEY"content="🥱🚴➡️😊🛁️"demojize(content,temperature=0)# "I feel tired while cycling, but happy after taking a bath."content="I 🚴 last year in 🇨🇳"demojize(content,temperature=0)# "I cycled last year in China."For more details please try theseexamples😄ContributionWelcome all kinds of contribution!For more details please refer toCONTRIBUTING.md
Package: emojichem
emoji-chemInstallpipinstallemojichemQuickstartNote: this is currently broken -- it mixes up order of hydrogens and heteroatoms on side groups (e.g., NH2 or OH). Not sure how to fix this because rdkit doesn't output enough information for me rewrite the SVG.importemojichememojichem.emoji_draw('CCN(CC)C(=O)[C@H]1CN([C@@H]2Cc3c[nH]c4c3c(ccc4)C2=C1)C')ExampleThis is how it should lookYou can also make a grid withemoji_grid:CreditEmoji list was taken (with minor modifications) from Nicola Ga-stan (@nicgaston) inthis tweet
Package: emoji-chengyu
emoji-chengyu把成语转成 emoji 来猜谜的小玩具可以用于中秋, 元宵猜灯谜UsageClipip3installemoji-chengyuemoji-chengyu-cli
emoji-chengyu-cli--count20# 游戏模式emoji-chengyu-cli--game例子披麻戴孝 🍺🦄🦘🎓
走石飞沙 🏃🦁☕👙
立马万言 🌰🦄🎃👁
一苇可航 🥼🍤👍👩‍🚀
飞沙走砾 ☕👙🏃🌰
诸子百家 🐷🍆🥬👩‍👩‍👦
三山五岳 🌂⚡🕺🌕
左思右想 👈🤔👉🤔
指手点脚 💅🤚👩‍💻🦶Libaryfrom emoji_chengyu.puzzle import gen_puzzle

for p in gen_puzzle():
    print(p.puzzle_str, p.chengyu_item.word)起因春节有朋友在微信发的谜题原理成语 --> 拼音 && Emoji --> 含义 --> 拼音利用同音或者谐音, 通过拼音关联成语和 EmojiExample:喜上眉梢 <---> 😄👆🌹🔥😄 --> 高兴 --> 喜👆 --> 向上 --> 上🌹 --> 玫瑰 --> 玫(眉)🔥 --> 火焰 --> 烧(梢)数据源成语搜了下 github 有中华新华字典数据库https://github.com/pwxcoo/chinese-xinhuaMIT而且包含了成语的拼音emojiemoji 转中文搜了下，有好几个https://github.com/Kenshin/emoji是个 Chrome 插件, 数据源在https://github.com/Kenshin/emoji/blob/master/src/vender/emoji/zh_emoji.js, MIT 证书https://github.com/chroming/ch2emojipython 数据源在https://github.com/chroming/ch2emoji/blob/master/emoji_pinyin_dict.py, 看不太懂。 无证书https://github.com/binderclip/emoji-cn未完成的项目https://github.com/techkang/zh2emoji好像和 ch2emoji 的数据源一样,https://github.com/techkang/zh2emoji/blob/master/emoji_dict_sim.py作者说做了谷歌翻译https://github.com/gingerbeardman/Emojipedia英文https://github.com/gingerbeardman/Emojipedia/blob/master/Emoji.xmlhttps://github.com/notwaldorf/emoji-translate英文,https://github.com/notwaldorf/emoji-translate/blob/master/extension/emojis.json(有点意思, 将来可以做一个抽象话生成器)https://github.com/muan/emojilib英文, 这个不错，感觉可以在这个基础上用谷歌翻译TODOmake an easy web
Package: emoji-cli
Emoji-Cli_______   _____ ______   ________        ___  ___                 ________  ___       ___     
|\  ___ \ |\   _ \  _   \|\   __  \      |\  \|\  \               |\   ____\|\  \     |\  \    
\ \   __/|\ \  \\\__\ \  \ \  \|\  \     \ \  \ \  \  ____________\ \  \___|\ \  \    \ \  \   
 \ \  \_|/_\ \  \\|__| \  \ \  \\\  \  __ \ \  \ \  \|\____________\ \  \    \ \  \    \ \  \  
  \ \  \_|\ \ \  \    \ \  \ \  \\\  \|\  \\_\  \ \  \|____________|\ \  \____\ \  \____\ \  \ 
   \ \_______\ \__\    \ \__\ \_______\ \________\ \__\              \ \_______\ \_______\ \__\
    \|_______|\|__|     \|__|\|_______|\|________|\|__|               \|_______|\|_______|\|__|The emoji cli tool.(emoji 命令行工具)RequirementThe python3 require.Quick StartInstall$   pip install emoji_cliGet emoji with name$   emoji_cli emoji redheart
❤Get name of emoji$   emoji_cli name ❤
redheartOtherEmoji_cli name not works well in windows cmd.