Saravanan666/pypi-org huggingface dataset:
Package: bagitup
BagitUpBagitUpis a Pythob based module that enables you to automatically backup your files and databases to GitInstallpip install bagitpp.env file example:# .env  
git_url="https://username:password@git_repo_url"  
mysql_host="hostname"  
mysql_username="user"  
mysql_pass="pass"  
mysql_dbname="Database Name"STEPScreate a new ".env" file inside folder you want to backup (or update existing)run the command "python -m bagitup -d /folder/to/backup/"set CRON to automate the processBasic usageset environment variables in .env filepython-mbagitup-d/folder/to/backup/LicenseMIT licensed. See theLICENSEfile
for more details.
Package: bagmanager
bagmanagerA thin wrapper around rosbag.Bag with some convenient methodsInstallationpip install bagmanagerUsagefrombagmanagerimportBagManagerbag_file='/path/to/bag/file.bag'bag_manager=BagManager(bag_file=bag_file)# info about the bag fileprint(bag_manager)# get information about the topictopic_info=bag_manager.get_topic_info(topic='some_topic',get_header_time=True)# get_header_time=True is costly but returns a list of timestamps from the messages headers.# get the timestamp from the message header of the 3rd messagetime_header=topic_info['msg_time_list_header'][2]# get the timestamp from the bag of the 1st messagetime_rosbag=topic_info['msg_time_list_rosbag'][0]# get the number of messages in the topicnumber_of_messages_in_topic=topic_info['message_count']# get the message type of the topicmessage_type=topic_info['message_type']# get the frequency of messages in the topicfrequency=topic_info['frequency']# get the closest msg from 'another_topic' to a message from 'some_topic'by its 3rd message **header** timemsg=bag_manager.get_closest_message_by_header_time(topic='another_topic',time_header=time_header)# get the closest msg from 'another_topic' to a message from 'some_topic'by its 1st message **rosbag** timemsg=bag_manager.get_closest_message_by_rosbag_time(topic='another_topic',time_rosbag=time_rosbag)# get a msg from 'some_topic' by indexmsg=bag_manager.get_message_by_index(topic='some_topic',index=number_of_messages_in_topic-1)# get the number of messages from topics in an interval of timesstart_time_rosbag=topic_info['msg_time_list_rosbag'][2]end_time_rosbag=topic_info['msg_time_list_rosbag'][7]message_count=bag_manager.get_message_count_in_interval(topics=['some_topic','another_topic'],start_time_rosbag=start_time_rosbag,end_time_rosbag=end_time_rosbag)DevelopmentCreate a venv (recommended)git clone https://github.com/omrirz/bagmanager.gitpython -m pip install -r requirements.txtTestpython -m pytest
Package: bagmodels
BagModelsBagModels is a repository of various bag of words (BoW) algorithms in machine learning. Currently it includes OkapiBM25. More coming soon.BM25 is a text retrieval function that can find similar documents or rank search in a set of documents based on the query terms appearing in each document irrespective of their proximity to each other. It is an improved and more generalised version of TF-IDF algorithm in NLP.InstallationIt can be installed using pip:pipinstallbagmodelsGetting startedBasic usageimportrefrombagmodelsimportBM25# Load corpuscorpus=list({"Yo, I love NLP model","I like algorithms","I love ML!"})# Clean manually if needed or pass custom tokenizer to BM25corpus=[re.sub(r",|!"," ",doc).strip()fordocincorpus]# Initialize modelmodel=BM25(corpus=corpus)# Similaritymodel.similarity("I love NLP model","I like NLP model")# 0.775model.similarity("I love blah","I love algorithms")# 0.446Save and reuse models# libaries imported and corpus already loaded before itmodel=BM25(corpus=corpus)# write to save pathmodel.save("output/bm25_v1.jbl")# load againmodel=BM25.load("output/bm25_v1.jbl")# add documents if requiredmodel.resume(corpus=additonal_corpus)# predict / search / find / retrieve likemodel.similarity(doc_a,doc_b)Coming soonPlease feel free to open an issue to request a feature or discuss any changes. Pull requests are most welcome.I am trying to actively add the following:OkapiBM25BM25 variationsMultiThreading
Package: bago
BAGOBAGO is a Python package for Bayesian Optimization of Liquid Chromatographic Elution Gradient.Documentation:https://bago.readthedocs.io/en/latest/Source code:https://github.com/Waddlessss/bagoBug reports:https://github.com/Waddlessss/bago/issuesBAGO enables:Highly efficient gradient optimization
Find an optimal gradient for your LC-MS/MS analysis within 10 runs.
Wonder why BAGO is efficient? Read more aboutacquisition functions.Omics-scale evaluation on compound separation
Separation efficiency was defined to evaluate the performance of a gradient.
Wonder how omics-scale evaluation is achieved? Read more aboutencodings.Broader discovery of chemical space
Expand your discovery of chemical space by improving identification and quantification.
Wonder how BAGO can help you? Read more aboutapplications.Please cite BAGO
Package: bagpipes
Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimationBagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. For further information please see the Bagpipes documentation atbagpipes.readthedocs.io.InstallationBagpipes can be installed with pip:pip install bagpipesPlease note you cannot run the code just by cloning the repository as the large grids of models aren’t included. To fit models to data with the code you will also need to install theMultiNestcode. For more information please see thebagpipes documentation.Published papers and citing the codeBagpipes is described primarily in Section 3 ofCarnall et al. (2018), with further development specific to spectroscopic fitting described in Section 4 ofCarnall et al. (2019b). These papers are the best place to start if you want to understand how the code works.If you make use of Bagpipes, please include a citation toCarnall et al. (2018)in any publications. You may also consider citingCarnall et al. (2019b), particularly if you are fitting spectroscopy.Please note development of the code has been ongoing since these works were published, so certain parts of the code are no longer as described. Please inquire if in doubt.
Package: bagpipes-spacy
Bagpipes spaCyBagpipes spaCy is a collection of custom spaCy pipeline components designed to enhance text processing capabilities. These components include:Quote Detector: Identifies and extracts quotes from the text.Phrases Extractor: Extracts various types of phrases such as prepositional, noun, verb, adjective, and adverbial phrases.Normalizer: Normalizes the text by expanding contractions, removing special characters, and more.Triple Detector: Extracts triples (subject, predicate, object) from the text.Entity Similarity: Computes similarity between entities in the text and maps similar entities.Table of ContentsBagpipes spaCyTable of ContentsInstallationUsageIntegrating the Components into your spaCy PipelineText Processing with the PipelineRetrieving the Extracted QuotesRetrieving the Extracted PhrasesRetrieving the Normalized TextRetrieving the Extracted TriplesRetrieving the Entity Similarities and MappingsInstallationTo install Bagpipes spaCy, execute:pip install bagpipes-spacyUsageIntegrating the Components into your spaCy PipelineBegin by importing the components and then integrating them into your spaCy pipeline:importspacyfrombagpipes_spacyimportQuoteDetector,PhrasesExtractor,Normalizer,TripleDetector,EntitySimilarity# Initialize your preferred spaCy modelnlp=spacy.blank('en')# Integrate the components into the pipelinenlp.add_pipe('quote_detector')nlp.add_pipe('phrases_extractor')nlp.add_pipe('normalizer')nlp.add_pipe('triple_detector')nlp.add_pipe('entity_similarity')Text Processing with the PipelineAfter adding the components, you can process text as you typically would:text="She said,\"I'm going to the store.\"The store is located near the river."doc=nlp(text)Retrieving the Extracted QuotesYou can access the extracted quotes from thedoc._.quotesattribute:forquoteindoc._.quotes:print(quote)Output:"I'm going to the store."Retrieving the Extracted PhrasesYou can access the extracted phrases from thedoc._attributes:forprep_phraseindoc._.prep_phrases:print(prep_phrase)Output:near the riverRepeat fordoc._.noun_phrases,doc._.verb_phrases,doc._.adj_phrases, anddoc._.adv_phrases.Retrieving the Normalized TextThe normalizer modifies thedocobject itself, so you can access the normalized text as you usually would:print(doc.text)Output:She said, "I am going to the store." The store is located near the river.Retrieving the Extracted TriplesYou can access the extracted triples from thedoc._.triplesattribute:fortripleindoc._.triples:print(triple)Output:('store', 'located near', 'river')Retrieving the Entity Similarities and MappingsYou can access the entity similarities and mappings from thedoc._.ent_similarityanddoc._.ent_mappingsattributes:forent1,ent2,similarityindoc._.ent_similarity:print(ent1,ent2,similarity)forent,mappingsindoc._.ent_mappings.items():print(ent,mappings)
Package: bagpy
bagpyA Python package to facilitate the reading of a rosbag file based on semantic datatypes.bagpyprovides a wrapper classbagreaderwritten in python that provides an easy to use interface for readingbag filesrecorded byrosbag recordcommand. This wrapper class uses ROS's python APIrosbaginternally to perform all operations. One of the interesting features about usingbagreaderis that a user doesn't
need to supplyrostopic nameto extract relevant data. One can extract data based on the
type of data the user is seeking.RequirementsUbuntu 18.04 or laterPython 3.6 or higher.Now, the preferred version is Python 3.9. With other versions, there are some dependency issues as how pip works has changed.Python 2.x support not available. Python 3.x virtual environment is recommended for pip installation.Works with Windows as well, how, I don't provide support for Windows. See my comment on an issue here:https://github.com/jmscslgroup/bagpy/issues/2#issuecomment-710095649Note: it is not compatible with ROS 2.Installationpip install bagpyUsage principleThe philosophy behind developing this project is to make everything as simple and less confusing as possible.
As a result, there are not too many options or freedom of usage being provided bybagreaderclass.
If you need a wide variety of options, users can directly use ROS'srosbagpython package or
Robotics System Toolbox APIs provided by MATLAB. However, if you are looking for simplicity,bagpyis an
elegant choice.ExamplesSee Notebooks and python scripts athttps://github.com/jmscslgroup/bagpy/tree/master/notebookfor examples.
Package: baguette
baguetteis an asynchronous web framework for ASGI servers.InstallationPython 3.6 or higher is required.Installbaguettewith pip:pipinstallbaguetteYou also need an ASGI server to run your app likeuvicornorhypercorn.
To installuvicorndirectly with baguette, you can add theuvicornargument:pipinstallbaguette[uvicorn]QuickstartCreate an application, inexample.py:frombaguetteimportBaguetteapp=Baguette()@app.route("/")asyncdefindex(request):return"<h1>Hello world</h1>"Run the server withuvicorn:uvicornexample:appSeeuvicorn’s deployment guidefor more deployment options.ContributeSource CodeIssue TrackerSupportIf you are having issues, please let me know by joining the discord support server athttps://discord.gg/8HgtN6ELicenseThe project is licensed under the MIT license.LinksPyPiDocumentationDiscord support server
Package: baguette-client
[my-code]$ baguette
Usage: baguette [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  app-create           Create an app of the current git repo.
  app-delete           Delete an app.
  app-list             List all the apps.
  build-detail         Detail a build.
  build-list           List all the builds.
  deployment-detail    Detail a deployment.
  deployment-list      List all the deployments.
  deployment-stop      Stop a deployment.
  key-create           Create a key.
  key-delete           Delete a key.
  key-list             List all the keys.
  login                Connect to baguette.io.
  namespace-create     Create a namespace.
  namespace-delete     Delete a namespace.
  namespace-list       List all the namespaces.
  organization-create  Create an organization.
  organization-delete  Delete an organization.
  organization-list    List all the organizations.
  quotas               List all the account quotas.
  signup               Create an account on baguette.io.
Package: bahasa
BAHASAModul stemmer yang digunakan merupakan hasilportingdariSastrawidengan beberapa perubahan.INSTALASIKita dapat menginstal bahasa dengan cara sebagai berikut:pipinstallbahasaPENGGUNAANfrombahasa.stemmerimportStemmerstemmer=Stemmer()hasil=stemmer.stem("Saat ini pemerintah sedang memilih untuk menentukan rel yang digunakan.")print(hasil)saatiniperintahsedangpilihuntuktenturelyanggunahasil=stemmer.stem("membuang-buang waktu")print(hasil)buangwaktu# Menambahkan kata ke dalam kamusstemmer.add_words("lauk","nasi","piring")# Menghapus kata dalam kamusstemmer.remove_words("ikan","kucing")TESTpython-munittestdiscover
Package: bahire-hasab
📆 Bahire Hassab(ባህረ ሐሳብ) 🇪🇹 📦A python module for calculating Ethiopian Holidays and LentsTable Of ContentTable Of ContentDescriptionInstallationDocumentationTodoDescriptionThis is a python Installation module for Ethiopian Calender method for determining the dates of lents and holidays or in Amharic Bahire Hassab ባህረ ሐሳብI have used the native calculation method If you want the book I used you can find itEach of the names I used in the module is mostly the Amharic Equivalent of the holiday if you want all you can get itClick Here!.InstallationBahire Hassab is available now onYou can Install it through pip bypip install bahire-hassabDocumentationThere is a snippet how to use it for your personal projectsfrombahire_hasabimportBahireHasabfromdetetimeimportdetetime# The year according to the Ethiopian Calenderyear=datetime.now().year-8bh=BahireHasab(year)eth_easter=bh.tnsaeprint(eth_easter)# ሚያዚያ 8 this is for the Ethiopian year 2015# This is should print the date of the Ethiopian Easter according to the Ethiopian CalendarThe method names are home how different from most methods that we know since I used most of them in Amharic there is their Equivalent in EnglishMethodEnglish EquivalentDescriptionnew_yearEthiopian New YearThe day of new year in Amharicabiy_tsomeEthiopian Great Lent BeginThe day at which the great lent begin in EthiopianenewehEthiopian Fast of NeneviahThe Day of begining of the Neneviah fastdebre_zeytEthiopian Great lent middleThe middle day of the Ethiopian Great lenthosaenaEthiopian HoseanaThe day of Entrance of Jesus to Jerusalem in Ethiopian CalenderskletThe holy FridayThe day of holyfriday in Ethiopian Calender.tnsaeEthiopian EasterThe day of Easter in Ethiopian Calender.rkbe_kahnat--ergetThe day of ascensionReturns the day of ascension of the year.beale_hamsaThe PentecostReturens the day of Pentecost of the year.tsome_hawaryat--tsome_dhnet--TodoReleasing the package to pypi.orgMaking API for itSupport for Gregorian CalenderFinding corner Canses
Package: bahub
Bahub (Backup Hub) is a shell client for theFile RepositoryAPI.
Allows to totally automate the backups on your server - the API is storing, versioning and rotating your backups,
this client is sending them in a secure, encrypted way.Features:
- Automatically schedule docker volumes backup
- Encrypt backups with own key
- Custom backup commands that are producing output to capture
- MySQL backup examplesCopyleftCreated byRiotKit Collectiveas part of Wolnościowiec initiative.
Project initially created for three purposes:To store static files uploaded for users (libertarian/anarchist portal)To store and serve video files (video archive)To store backups and version them. Limit the disk space and permissions to create a shared space for multiple organizations fighting for human-rights, tenants-rights, working-class rights and animals-rights.
Package: baichat-py
BAIChat API PythonInstallationPypipipinstallbaichat-pyCodebergpipinstall--index-urlhttps://codeberg.org/api/packages/Bavarder/pypi/simple/baichat-pyUsagefrombaichat_pyimportCompletionprompt="Hello, world!"fortokeninCompletion.create(prompt):print(token,end="",flush=True)print("")
Package: baico
BAICOBAICO (BestArmIdentification-basedCombinatorialOptimization Algorithms) is a collection of discrete optimization algorithms for stochastic objective functions based on the best arm identification technique.Installpip3installbaicoUsageimportrandomweights={'a':1,'b':2,'c':3,'d':4,}deffn(S):returnsum(weights[a]*random.random()forainS)support=weights.keys()solver=StochasticGreedy(fn=fn,support=support,cardinality=2)S=solver.optimal_solution()..frozenset({'d','c'})LicensesThis project is licensed under the MIT License.
Package: baidu-api
百度sdk安装pip install baidu-api文档# 授权认证
>>> from baidu.client import BaiduClient
>>> client = BaiduClient(app_id=<你的appid>, api_key=<你的apikey>, secret_key=<你的secretkey>)
# 调用接口
>>> from baidu.api import TextCensor
>>> result, detail = TextCensor(client).is_allowed("在线阅读色情小说,在线赌博,枪支弹药购买: https://iqiyi.com")
>>> result == "rejected"
True使用redis缓存access_tokenfrom redis import Redis
from baidu.session.redisstorage import RedisStorage
redis_client = Redis.from_url("redis://localhost:6379/0")
session_interface = RedisStorage(redis_client, prefix="baiduapi")
baidu_client = BaiduClient(app_id, api_key, secret_key,
                           session=session_interface)感谢里面的session是模仿的wechatpy的session贡献代码欢迎提交pr, 我一定会尽早地处理. 不用在乎什么格式, 写代码就是勇敢地提交, 上线. 出错了再修改, 回滚就可以了啊.
Package: baidu-bce-auth
baidu-bce-auth帮助你生成百度云 API 的鉴权认证字符串(Authorization header)百度云 API 鉴权认证的文档：https://cloud.baidu.com/doc/Reference/s/njwvz1yfu使用方法，以 requests 为例from bceauth.auth import make_auth

ak = 'xxx'
sk = 'yyy'
path = 'zzz'
url = 'http://example.com'
params = {}

requests.get(
    url,
    params=params,
    headers={
        'Authorization': make_auth(   # <== 调用 make_auth，得到 Authorization 的内容
            ak=ak,
            sk=sk,
            method='GET',
            path=path,
            params=params,
            headers={
                'Host': 'example.com',
            },
        ),
        'Host': 'example.com',
    }
)完整的例子，可以参考：tests/test_auth.py
Package: baidu-d-tts
baidu_d_ttsa tts driver used byunittsDependentpip install requestsinstallationpip install baidu_d_ttsUsagefrom baidu_d_tts.baidu_ai_api import set_app_info
import unitts

set_app_info(appid, appkey, secret_key)
tts = unitts.init('baidu_d_tts')
tts.startLoop()
while True:
	x = input()
	tts.say('This is a test')
tts.endLoop()
Package: baidufanyi
Baidu FanyiDescriptionA simple SDK for the Baidu Translation API (unofficial)一个简单的用于调用百度翻译api的包。Installpip3 install baidufanyiUsagefrombaidufanyiimportBaiduFanyi# 注意大小写APPID="your appid"APPKEY="your appkey"# APPID 与 APPKEY 可在百度翻译开放平台获取，标准版可免费使用fanyi=BaiduFanyi(APPID,APPKEY)print(fanyi.translate("hello world",fromLang="auto",toLang="zh"))# fromLang 和 toLang 格式请查阅百度翻译api文档Features支持多行，自动合并简单易用，立即上手支持多种语言的设置
Package: baidufm
Baidu Fm CLI python实现.Home page :http://tdoly.github.io/baidufm-py/Source code :https://github.com/tdoly/baidufm-pyFeature1.随机播放Baidu FM音乐
2.登录Baidu FM（显示验证码）
3.快捷键操作（上，下选择切歌...）
4.暂停/恢复 播放
5.静音
6.音量调节
7.收藏/取消收藏 音乐
8.音乐加入垃圾箱Installpip install baidufmRequire(on ubuntu)
sudo apt-get install mplayer

(on OSX)
brew install mplayerUsingbaidufmKeymapq 退出
l 登陆
ENTER 播放选择的频道
n 下一首歌(当前频道)
k (↑) 上
j (↓) 下
g 顶部
G 底部
b 上一页
f 下一页
+ 加音量
- 减音量
p (空格) 暂停
m 静音
r 随机音乐
c 收藏（取消收藏）音乐
d 音乐加入垃圾箱Changelog0.2.2 基本功能0.2.4 添加验证码显示功能，修复程序BUG0.2.5 add HOST_PATH checkLicenseMIT
Package: baidunews
easy to use as most of the data returned are pandas DataFrame objectscan be easily saved as csv, excel or json filescan be inserted into MySQL or MongodbTarget Usersfinancial market analyst of Chinalearners of financial data analysis with pandas/NumPypeople who are interested in China financial dataInstallationpip install baidunewsUpgradepip install baidunews –upgradeQuick Startgn=crawl.BaiduNews()
gn.update_info()
print(gn.author_wx)
df_search = gn.search_news('中国银行 电子银行',day=-3, pn=None)
print(df_search)
df_search.to_excel('./search.xlsx')
df_detail = gn.news_detail(top=5)
print(df_detail)
df_detail.to_excel('./detail.xlsx')return:open    high   close     low     volume    p_change  ma5
date
2012-01-11   6.880   7.380   7.060   6.880   14129.96     2.62   7.060
2012-01-12   7.050   7.100   6.980   6.900    7895.19    -1.13   7.020
2012-01-13   6.950   7.000   6.700   6.690    6611.87    -4.01   6.913
2012-01-16   6.680   6.750   6.510   6.480    2941.63    -2.84   6.813
2012-01-17   6.660   6.880   6.860   6.460    8642.57     5.38   6.822
2012-01-18   7.000   7.300   6.890   6.880   13075.40     0.44   6.788
2012-01-19   6.690   6.950   6.890   6.680    6117.32     0.00   6.770
2012-01-20   6.870   7.080   7.010   6.870    6813.09     1.74   6.832
Package: baidupan
# baidupan#关于baidupan是一个百度盘(http://pan.baidu.com)API的Python SDK.#使用方法from baidupan.baidupan import BaiduPanif __name__ == “__main__”:access_token = ‘’
disk = BaiduPan(access_token)
print disk.quota()
print disk.upload(‘hello’, path=’/apps/appname/hello’)
Package: baidupcs
BaiduPCS百度个人云存储（PCS）Python SDK.Documentation:http://baidupcs.rtfd.orgGitHub:https://github.com/mozillazg/baidu-pcs-python-sdkFree software: MIT licensePyPI:https://pypi.python.org/pypi/baidupcsPython version: 2.6, 2.7, 3.3InstallationTo install baidupcs, simply:$pipinstallbaidupcsBasic Usage>>>frombaidupcsimportPCS>>>pcs=PCS('access_token')>>>response=pcs.info()>>>response<Response[200]>>>>response.okTrue>>>response.status_code200>>>response.content'{"quota":6442450944,"used":5138887,"request_id":1216061570}'>>>response.json(){u'used':5138887,u'quota':6442450944L,u'request_id':1216061570}FAQPlease visitWiki.Changelog0.3.2 (2014-03-23)新增：添加tools.get_new_access_token用于获取新的 Access Token 和 Refresh Token；改进：解决上传大文件时的内存占用问题；变更：去掉verify=False。如果有出现SSLError请参考此文。0.3.1 (2013-10-25)改进：上传、下载部分的 api 改用加速域名 c.pcs.baidu.com 和 d.pcs.baidu.com0.3.0 (2013-09-13)新增：添加baidupcs.InvalidToken异常0.2.0 (2013-09-12)新增：支持 Python 30.1.0 (2013-09-09)新增：第一版，封装了所有文件操作 RESET API.
Package: baidupush
将百度云推送（Push）服务端的所有 API 封装成一个类BaiduPush，通过对该类的简单初始化，即可调用其内部的各种方法，使用百度云推送服务。BaiduPush提供的方法和服务端 API 对应，是对服务端 REST API 的封装，详细的 REST API 请参考官网API列表。代码构成baidupush/baidupush.py– SDK 脚本，包含对外提供的所有接口sample/sample.py– 使用 SDK 的 Demo 文件依赖库requestsujson一般规则所有函数的参数和返回值中如果有中文，必须是UTF-8编码不需要对函数参数进行urlencode错误信息见错误码定义安装pip install baidupush或者easy_install baidupush调用方法from baidupush import BaiduPush, BaiduPushError
apikey = "76Yi0ZBGGV2HrAziIiYEFtRh"
secretkey = "xxxxxxxxxxxxx"
user_id = "1105115563847474869"
channel_id = 3944730196422489622

message = "{'title':'baidu push','description':'message from python sdk'}"
message_key = "key1"

pusher = BaiduPush(apikey, secretkey)
push_type = BaiduPush.PUSH_TO_USER
optional = dict()
optional[BaiduPush.USER_ID] = user_id
optional[BaiduPush.CHANNEL_ID] = channel_id
optional[BaiduPush.MESSAGE_TYPE] = BaiduPush.PUSH_NOTIFICATION
try:
    ret = pusher.push_msg(push_type, message, message_key, optional)
except BaiduPushError:
    print 'Exception :', err
print ret版本更迭该 Python SDK 主要由luvchh完成了大部分的工作第一版：由luvchh提供第二版：由blacklaw0修改第三版：由gfreezy修改第四版：由cheng-shiwen更新第五版：由sinchb修改
Package: baidu-sign
baidu-signSign text for baidu fanyiIntrobaidu_signmakes use ofgoogle_signfor text shorter than 31 characters which is about
30 times faster thanjs2py_sign.google_signis a direct python implementation
whilejs2py_signis converted from js to python usingjs2py.Install itpip install baidu-signUse itfrombaidu_signimportbaidu_signprint(baidu_sign("test")# "431039.159886"print(baidu_sign("test "*10))# 403909.183028