Saravanan666/pypi-org huggingface dataset:
Package: pysui
pysuiPython Client SDK for Sui blockchainSupportsSUI 1.20.x RPC APIBackwards compatable toSui 1.17.x RPC APIpysui SDK DependenciesRust (stable) for installation of Sui Binaries (optional) and buildingpysui-fastcryptoRust wrapper (required)Python version >= 3.10Note: With 0.52.0 it is recommended to start a new virtual environment and installing from PyPi!pysui SDK current (github)Release-0.53.0SeeCHANGELOGPyPi currentRelease-0.53.0Latest PyPi VersionSui GraphQL RPC betaMystenLabs announcement can be foundHere. This change transitions
from JSON RPC to GraphQL RPC.With pysui 0.50.0 we releasedpysui's initial alignment with MystenLabs strategy. The timeline of changes will keep up with the Timeline as noted in the Sui GraphQL annoucement.Note: The MystenLabs/Sui GraphQL RPC is currently only available on testnetpysui 0.52.0 contains initial support for our February 2024 target:December 2023: Synchronous and asynchronous GraphQL clients (experimental) with intial 'read' queries parallel to current pysui readBuilders. Also expose underlying GraphQL for users to craft their own queries.January 2024: Continue with GraphQL and Builder parity changes. Mysten to roll out live data to devnet, testnet and mainnet. Note, only testnet was available in Jan '24.February 2024: Begin deprecatating pysui Builders and existing SuiClients and enable SuiClient GraphQL 'streaming' support. Note, only testnet and mainnet are currently available in Feb '24, in addition:DryRun and Execute are availablestreaming is not yet supportedExamples for all supported queries and mutations are in pgql_s_example (Synchronous) and pgql_a_example (Asynchronous)Sometime in 2024: Remove Builders and Obsolete SuiClients and bump pysui to version 1.0.0.You can read pysui documentation on graphqlhereFULL DocumentationReadTheDocsChangelogSeeCHANGELOGIssues and enhancement requestsWe would appreciate using thegithub issue logto let us know!Release/Publish StrategySeeStrategiesDiscordDiscord serverclick here:AdditionsThere is a companion package calledpysui-gadgetswith a few utilities and ge-gaws that you may find interesting. It is a separate package also on on PyPi.Local node supportWe leveragesuibasefor our testing and SuiConfig includes an option for interacting directly with local nodes created bysuibaseReady to runRequires:Linux or macos (x86_64 or Mx)Rust (stable) which also includes rustup and cargopython 3.10 or greaterpkg-configlibtoolsui binaries to supportpublishSui move packagesYou will needsuibasefor interacting with local nodes, it is an indispensible addition to Sui developers tools!Setup environmentpython3 -m venv envIf, instead, you want to work with repo latest source code then readDEVELOPfrom repoActivatesource env/bin/activateor. env/bin/activateInstallpysuipip install pysuiSamplesSeesamples
Package: pysui-fastcrypto
pysui-fastcrypto is a Python wrapper library forMytenLab/fastcrypto.The primary use of this library is forpysui. It is not intended for general usage
although others are not prevented from using it.Building pysui-fastcrypto for PythonClone this repoInstall Python (3.10+)Create a virtual environment -python3-mvenv envActivate the environment -. env/bin/activateUpdate pip if needed -pip install-UpipInstall maturin -pip install maturinBuild the crate and python wrapper -maturin developThe last step will compile the Rust crate and create a Python wheel and installpysui-fastcryptoin the virtual environment.Installing pysui-fastcrypto from PyPiInstall Python (3.10+)Create a virtual environment -python3-mvenv envActivate the environment -. env/bin/activateUpdate pip if needed -pip install-UpipInstall pysui-fastcrypto -pip installpysui-fastcryptoThe last step will compile the Rust crate and create a Python wheel and installpysui-fastcryptoin the virtual environment.Documentation for pysui-fastcryptoRun -cargo doc--open
Package: pysui-gadgets
pysui-gadgets includes tools and utilities that work with the pysui SDK.Gadgets included:package - Performs operations that leverages meta-data about SUI move packages (smart-contracts)dsl-gen - Creates python representation of move package key structs and entry point functionsto-one - Merges all SUI Gas mists ‘to one’ SUI Gas object for an addresssplay - Evenly distribute coins from one address to manyvh - History of object versionsSetup for useInstall SUI binariesSetup python virtual environmentActivate virtual environmentUpdatepipInstallpysui_gadgetscargo install --locked --git https://github.com/MystenLabs/sui.git --branch devnet sui
python3 -m venv env
. env/bin/activate
pip install -U pip
pip install pysui_gadgetsUpgradeActivate virtual environmentUpdatepysui_gadgets. env/bin/activate
pip install -U pysui_gadgetsSetup for cloningInstall SUI binariesClonepysui_gadgetsrepositorySetup python virtual environmentActivate virtual environmentUpdatepipInstallpysuiAlternate install ofpysuicargo install --locked --git https://github.com/MystenLabs/sui.git --branch devnet sui
git clone git@github.com:FrankC01/pysui_gadgets.git
python3 -m venv env
. env/bin/activate
pip install -U pip
pip install -r requirements.txt
# Alternately
# clone pysui to other folder
# in pysui run bin/package-build.sh
# back in here
pip install ../path_to_pysui/Running gadgetsmodule -h
package -h
dslgen -h
to-one -h
splay -h
vh -h
Package: pysuit
PySuitA unified collection of python functions  eg dictsort,nested_iterator etcPurpose of the PackageThe purpose of the package is to provide a collection of fuction and module indices in one unified libaryDocumentationThe official documentation is hosted on readthedocs.io:https://py-suit.readthedocs.io/en/latest/FeaturesCollection of PySuitDictCollectionNestedCollectionsExcludeRandomDataTypeCollectionCollection of DictCollectiondictsortetcCollection of NestedCollectionsnested_iteratoretcCollection of ExcludeRandomexclude_randometcCollection of DataTypeCollectionfake_random_datatypeetcGetting StartedThe package can be found on pypi hence you can install it using pipInstallationpipinstallpysuitUsageUsing the short forms or abbreviated forms of indicesDictCollectionfrompysuitimportDictCollectionsdict_collection=DictCollections()dict_collection.dict_sort(dictionary,flag)Examples of DictCollectionsfrompysuitimportDictCollectionsdict_collection=DictCollections()dict_collection.dict_sort({"b":3,"a":34,67:"c",1:64},keys)SortedDictionaryis=>{1:64,'a':34,'b':3,67:'c'}NestedCollectionsfrompysuitimportNestedCollectionsnested_collection=NestedCollections()nested_collection.nested_iterator(nested_list)Examples of NestedCollectionsfrompysuitimportNestedCollectionsnested_collection=NestedCollections()nested_collection.nested_iterator([[0,4],[2,3,4],[0,1,2],[0,1,2,3,4],[0,1,2,3,4]])Convertedlistis=>[0,4,2,3,4,0,1,2,0,1,2,3,4,0,1,2,3,4]ExcludeRandomfrompysuitimportExcludeRandomexclude_random=ExcludeRandom()exclude_random.exclude_random(start,stop,[excludenumbers])Examples of ExcludeRandomfrompysuitimportExcludeRandomexclude_random=ExcludeRandom()exclude_random.exclude_random(1,10,[4,5,9])Randomnumberis=>8DataTypeCollectionfrompysuitimportDataTypeCollectiondata_collection=DataTypeCollection()data_collection.fake_random_datatype(datatype,lengthofdatatype)Examples of DataTypeCollectionfrompysuitimportDataTypeCollectiondata_collection=DataTypeCollection()data_collection.fake_random_datatype(list,10)Fakerandomdatais=>[93,91,9163,-1967.88203,3,'thousand',-197247.03,913,983,'thousand']ContributionContributions are welcome
Notice a bug let us know. ThanksAuthorMain Maintainer: Avinash TiwariTeam ThoughtwinLicenseMIT
Package: pysuite
pysuite: A data scientist's toolbox for Google Suite AppA python wrapper for Google Suite and Google Cloud Service API. This provides classes with user-friendly apis to
operate with several Google API services. Currently, the supported services are:Google DriveGmailGoogle SpreadsheetGoogle VisionGoogle Cloud StorageFor details on how to use pysuite, please view thedocumentation pageGet credentialsCredential files are necessary to access all Google Services supported in pysuite. There are two categories. Each
requires its own credential file.Google Suite: This includes Google Drive, Gmail and Spreadsheet.Google Cloud: This includes Google Vision and Cloud StorageGoogle SuiteYou need to get a credential fromGoogle API Console. The credential looks like:{"installed":{"client_id":"xxxxxxxxxxxxxxxxx.apps.googleusercontent.com","project_id":"xxxxxxxxxxxxx-xxxxxxxxxxxx","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_secret":"xxxxxxxxxxxxxxxx","redirect_uris":["urn:ietf:wg:oauth:2.0:oob","http://localhost"]}}You can also provide a token json file if possible, the token file looks like:{"token":"xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx","refresh_token":"xxxxxxxxx"}If token file doesn't exist, a confirmation is needed from browser prompt. Then the token file will be created.frompysuiteimportAuthenticationcredential_json_file="/tmp/credential.json"token_path_file="/tmp/token.json"client=Authentication(credential=credential_json_file,token=token_path_file,services="sheets")Google Cloud ServiceYou need to get a credential json fromGoogle Cloud. The
credential looks like:{"type":"service_account","project_id":"your_project_id","private_key_id":"xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx","private_key":"-----BEGIN PRIVATE KEY-----xxxxxxxxxxx-----END PRIVATE KEY-----\n","client_email":"some@email.address","client_id":"xxxxxxxxxxxxxxxx","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url":"https://www.googleapis.com/robot/v1/metadata/x509/xxxxxxxxx"}You can useAuthenticationclass similarly. Note that token file is not needed for Cloud
Service.frompysuiteimportAuthenticationcredential_json_file="/tmp/credential.json"client=Authentication(credential=credential_json_file,token=None,services=["storage","vision"])
Package: pySulfiLoggerAPI
SulfiLogger sensorModule for reading data from the SulfiLogger sensorpython requirementsPython 3.7 or newerpython code exampleData acquisition from sensorfrompySulfiLoggerAPI.sensorimportSensor# locate sensorsensor=Sensor()comport=sensor.findCom()if(comport==None):print('info','no sensor found.')else:# data acquisitionsample=sensor.getData(comport)print(['signal','unit','temperature','unit'])print(sample)Data acquisition from webdata.sulfilogger.comfrompySulfiLoggerAPI.webDataimportWebData# loginwebData=WebData(username="username",password="password")webData.login()# get sitessites=webData.getAvailableSites()print(sites)# get data from time intervaldata=webData.getDataFromPeriod(sites[0],'2019-09-25T00:00:00+02:00','2019-10-05T00:00:00+02:00',"mg/L","1hr")print(data)more examplesA python script for continuously logging and plotting data from the SulfiLogger sensor via the bokeh module is available upon request.
Package: pysumix
Sumix SMX Camera for PythonAPI in Python that wrapsSumix SMX M8X C API.Requires:Windows (32 or 64 bit)Python 32-bitSumix SMX M8X C APINote:Best to run in native Windows instead of virtual machineMost people rightly use 64-bit Python. However, here you will need a 32-bit Python install; it doesn't take much hard drive space.InstallationDownloadSumix SMX M8X C APIExtract ZIP file, run EXE as Administratorinstall under C:/Sumix/, NOT C:/Program Files (x86)/Sumixplug in your Sumix SMX-M8X(C) camera into a USB 2.0 portbe sure the camera is working properly with Sumix's demo program, get familiar with setting exposure, gain, ROI, etc.Setup this program:pip install -e .UsageLive stream imagesTo see a live demosaiced display:python sumix_demo.py -pNote that the default is NOT to show the live preview as the preview is computationally expensive.Write fixed number of images to filepython sumix_demo.py -n 10 -f test.h5that is written to HDF5 (viewable withHDFView)
HDF5 is a very common format in the science and engineering community and has superceded TIFF and FITS for many applicationssumix_demo.py options-p show live preview (for focusing camera)-f save multipage TIFF or HDF5 based on the file extension '.tif' '.h5'-e set exposure (ms)-x set ROI width-y set ROI height-d decimation (binning)-g set image amplifier gainTroubleshootingYou might have multiple copies of Python installed. For this program be
sure you're using the 32-bit Python, perhaps by manually specifying on
the Command Line the full path to Python.File descriptionFile                Descriptionsumix_demo.py      Sumix SMX-M8XC camera Python image acquisition and recording test program.
test_demosaic.py   loads TIFF or HDF5 saved files to playback video on screen (can also use ImageJ)
demosaic.py         Bayer demosaic for 'grbg' filters.
rgb2gray.py         RGB to gray, also RGBA to gray (discards alpha channel).
sumixapi.py         Wraps Sumix C Windows DLL in Python. Not every last function has been implemented or tested.
Package: py_summer
py-summer一个快速生成 Python Web 项目框架的工具，用户无需考虑后端框架（即支持多后端，目前支持 Flask ）。支持自定义生成项目层级结构、接口。内容包含演示代码、测试用例等。安装Install and update using pip:pip install -U py-summer示例生成一个新项目summer create -n test_project -d ./生成的项目层级结构│  .gitignore                            ignore 文件
│  gunicorn.conf                         gunicorn 配置文件
│  requirements.txt                      项目运行所需依赖包
│  server.py                             项目入口文件
├─application                            application
│  │  __init__.py
│  │  router.py                          路由
│  ├─controller
│  │      hello_controller.py            controller
│  ├─model
│  │      hello_model.py                 model
│  └─view
│         hello_handler.py               handler
├─config
│      config.py                         配置文件
├─docker                                 docker 文件夹
│      docker-compose.yml
│      start.sh
├─log                                    日志文件夹
├─test                                   测试用例
│      conftest.py
│      test_api.py
│      test_db.py
└─tools                                  辅助方法
        error.py运行项目python server.py默认监听所有地址， 端口为 8080。测试页可访问http://127.0.0.1:8080/api/test生成的项目模块说明通过上面的示例，我们生成了一个简单的 http web 服务，下面将对生成的目录中各模块做一下介绍，简单的文件已经在目录结构中有说明，这里将不在赘述。application这里是 web 应用程序的总目录，里面包含 model/view/controller， 即 web 服务的 MVC 部分，router.py 这里是设置整个项目路由的地方。configconfig 目录是整个工程的配置目录，里面通过类的形式来进行各种环境的配置，通过 application 下的 __init__.py 来导入配置信息。dockerdocker 中是 docker-compose 的配置文件，用来配置项目的部署环境，start.sh 是 docker 容器启动的入口文件。testtest 这里是项目的单元测试模块，里面有一个 conftest.py 文件来配置测试信息，test_xxx.py 文件是具体的单元测试文件，这里使用 pytest.fixture 打通 server/client 进行测试，测试时无需额外启动 server 即可测试 server 接口。后续计划集成 Flask 常用功能模块目前计划集成功能点如下：启动方式路由处理数据库处理异常处理常用插件支持接口根据配置文件自动生成，进一步提高代码规范，开发效率。
Package: pysumo
pysumoBienvenue sur la documentation officielle de pysumo.Autheur: DEFRETIERE ClémentVersion beta1.021/01/19Support:pysumo@gmail.comInstallationAttention, uniquement disponible sur windowsPrérequisPython3 (v3.7 testée)https://www.python.org/Potentiellement NodeJS (v10.15.0 testée)https://nodejs.org/fr/InstallationOuvrez l'invité de commande et tapez la commande:python -m pip install pysumoUtilisationConnection avec le droneAllumez votre droneConnectez votre ordinateur au réseau wifi de ce dernierCodez !Le plus simple des scriptsfrompysumoimport*# Creation et connection du droned=Drone()d.connect()# Avancer pendant 0.8sec à une vitesse de 20d.forward(20,0.8)# Tourner pendant 1sec à une vitesse de 10d.right(10,1)# Afficher batterieprint(d.battery)Nota BeneLes procédures possédant un argumentsec=Nonedisposent d'un minuteur.secest un argument optionnel, s'il est précisé la procédure attendrasecsecondes avant de continuer.Il est fortement conseillé d'utilisersec!Liste des commandesLa batteriebatteryEst un entier entre 0 et 100 représentant le pourentage de batterie restant.S'il est égale à-1, c'est que le drone n'a pas encore transmis l'information.Les mouvementsforward(speed, sec=None)Fait avancer le drone.speedest un entier compris entre 0 et 127backward(speed, sec=None)Fait reculer le drone.speedest un entier compris entre 0 et 127right(speed, sec=None)Fait tourner le drone à droite.speedest un entier compris entre 0 et 127left(speed, sec=None)Fait tourner le drone à gauche.speedest un entier compris entre 0 et 127stop()Stoppe tout mouvement du drone.Les posturesVoici les trois postures possibles, ces variables seront booléennes:isPostureKickerisPostureJumperisPostureStandingPour en changer, voici les procédures à disposition:postureKicker(sec=None)postureJumper(sec=None)postureStanding(sec=None)Les sautsVoici les deux procédures réalisant un saut:highJump(sec=None)longJump(sec=None)
Package: pysumreg
Statistics with Calculator-style Summation RegistersStatistics of list of (x, y) pairs from calculator-style summation registers.CONTENTSStatistics with Calculator-style Summation RegistersWhy use this package?Examplesmean and standard deviationlinear regression & correlation coefficientpeak analysis: centroid and width of x weighted by yInstallationAboutWhy use this package?Use this package to obtain summary statistics of a list of $(x, y)$ pairs when
the pairs are presented in sequence, such as from a control system.  It is not
necessary to retain the entire list in memory, this package will retain the
cumulative values necessary to compute all analytical results.There are no external dependencies on add-on packages such as numpy or
scipy.  Only themathpackage
from the Python Standard Library is used.Statistics may be calculated at any time from the summation registers.The $(x, y)$ values may be entered in any order.  It is not necessary to
sort them.ExamplesIn[1]:importpysumregIn[2]:reg=pysumreg.SummationRegisters()mean and standard deviationIn[3]:reg.clear()...:reg.add(1,-1)...:reg.add(2,-2)...:reg.add(3,-3)...:print(f"{reg.mean_x=}")...:print(f"{reg.stddev_x=}")...:print(f"{reg.mean_y=}")...:print(f"{reg.stddev_y=}")...:print(f"{reg.min_x=}")...:print(f"{reg.max_x=}")...:print(f"{reg.min_y=}")...:print(f"{reg.max_y=}")...:print(f"{reg.x_at_max_y=}")...:print(f"{reg.x_at_min_y=}")...:reg.mean_x=2.0reg.stddev_x=1.0reg.mean_y=-2.0reg.stddev_y=1.0reg.min_x=1reg.max_x=3reg.min_y=-3reg.max_y=-1reg.x_at_max_y=1reg.x_at_min_y=3linear regression & correlation coefficientIn[4]:reg.clear()...:reg.add(1,-1)...:reg.add(2,-2)...:reg.add(3,-3)...:print(f"{reg.correlation=}")...:print(f"{reg.intercept=}")...:print(f"{reg.slope=}")...:reg.correlation=-1.0reg.intercept=0.0reg.slope=-1.0peak analysis: centroid and width of x weighted by yIn[5]:reg.clear()...:reg.add(1,0)...:reg.add(2,1)...:reg.add(3,0)...:print(f"{reg.max_y=}")...:print(f"{reg.centroid=}")...:print(f"{reg.sigma=}")...:reg.max_y=1reg.centroid=2.0reg.sigma=0.0In[6]:reg.add(1.5,0.5)...:reg.add(2.5,0.5)...:print(f"{reg.max_y=}")...:print(f"{reg.centroid=}")...:print(f"{reg.sigma=}")...:reg.max_y=1reg.centroid=2.0reg.sigma=0.3535533905932738InstallationThis package may be installed by any of these commands:pip install pysumregconda install -c conda-forge pysumregmamba install -c conda-forge pysumregmicromamba install -c conda-forge pysumregAboutReleasePyPIConda-forgePlatformsPythonUnit TestsCode Coveragedocumentation:https://prjemian.github.io/pysumreg/latestsource:https://github.com/prjemian/pysumreg
Package: pysuncalc
pysuncalcProin lacinia metus auctor est posuere, in ornare dui hendrerit. Aliquam eget est gravida, iaculis tortor a, aliquam ligula.Morbi semper metus at egestas vulputate:Nullam viverra nisi vel tellus finibus tincidunt.Pellentesque at velit placerat, gravida eros eu, blandit est.Curabitur id odio et magna semper vestibulum.Donec id lectus ut mi tincidunt commodo et eget risus.MotivationInstallationpipx install pysuncalcSed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo.Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem.Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur?Usagemake initAt vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga.Et harum quidem rerum facilis est et expedita distinctio.Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet ut et voluptates repudiandae sint et molestiae non recusandae.Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.Changelogv0.0.0yes
Package: pysunday
pysunday官方文档PySunday安装pysunday已在pypi上发布安装：python3 -m pip install pysunday卸载：python3 -m pip uninstall pysunday更新：python3 -m pip install --upgrade pysunday安装成功后需要执行python3 -c '__import__("sunday.core.init")'让sunday自动检查并初始化执行环境, 暂时只支持zsh、bash的环境初始化或者手动修改shell的rc文件，添加：exportSUNDAY_ROOT=~/.sundayexportPATH=$SUNDAY_ROOT/bin:$PATHsunday支持及未来支持[x] 敏捷工具核心库[x] 插件化[x] 日志系统集成[x] 持久化登录态[x] 开发环境代理[x] 系统PAC支持[x] 列表打印[x] 多线程运行[x] 密文加解密支持[X] 前端辅助开发工具[ ] LSP多语言支持[ ] 开发环境配置[ ] UI自动化测试工具[ ] 文档同步wiki[ ] 其它功能...插件开发插件主要指工具插件, 其它配套支持登录插件.如A开发了一个网站的登录插件, 此后B和C可基于该登录插件开发工具插件插件必须包含package.json的描述文件, 该文件配置如下:name: 工具名称type: login(登录)/tools(工具)depend: 程序依赖，依赖包git地址的集合keywords: 关键词author: 作者公共配置文件新建文件$SUNDAY_ROOT/config.ini配置格式如下:# config.ini[NAME1]key1=valuekey2=value[NAME2]key1=valuekey2=valueLOGGING控制日志输出key: level控制程序日志输出级别, 默认级别为ERROR, 及只输出报错日志key: format日志输出格式控制, 本人使用格式:format = %%(blue)s[%%(asctime)s.%%(msecs)-3d] %%(log_color)s%%(levelname)-7s: %%(purple)s<%%(name)s> %%(log_color)s%%(message)sPROXY代理配置, 未设置时, 程序中的请求根据网络配置走系统的pac代理文件, 否则当设置了值后程序中的网络请求不走pac仅走配置的代理key: proxy配置程序中的请求是否走代理, 代理配置格式如proxy = 127.0.0.1:8888CRYPTO加密程序相关配置key=strkey为加密用的密钥, 默认是HOWDUUDU, 可自行修改增加密码安全性GITGIT相关配置, 如插件安装来源base: git_url_base配置git地址，当安装的插件或者依赖中的插件不存在git地址则使用该地址内置命令sunday_install用于安装sunday插件uusage: sunday_install [-v] [-h] [--giturl GIT_URL_BASE] [-l] [-N] [MODULE_URLS) [MODULE_URL(S ...]]安装sunday模块Positionals:MODULE_URL(S)          安装模块的本地模块路径或者仓库名称, 分支请用#字符拼接Optional:-v, --version          当前程序版本-h, --help             打印帮助说明--giturl GIT_URL_BASE  git元地址, 取配置中的GIT.base字段，未配置则默认为ssh://git@github.com-l, --list             打印所有的已安装安装-N, --notdepend        是否跳过依赖安装，如果安装本地模块，且依赖的模块也是本地安装则可设置为不安装依赖使用案例:sunday_install sunday/name1.gitsunday_install https://website.com/sunday/name1.git https://website.com/sunday/name2.gitsunday_install --giturl https://website.com sunday/name1.git https://website.com/sunday/name2.git sunday/name3.git https://website.com/sunday/name4.gitsunday_install /path/to/package插件收录查看官方文档插件列表