Saravanan666/pypi-org huggingface dataset:
Package: sdbus-modemmanager
python-sdbus-modemmanagerModemManager binds for python-sdbusSupports both asyncio (undersdbus_async.ModemManagermodule) and blocking (undersdbus_block.ModemManagermodule)Implements most ModemManager dbus interfaces and objects.Requirementspython-sdbusversion higher than 0.8rc2
Seepython-sdbus requirements.Installationpip install --only-binary ':all:' sdbus-ModemManagerDocumentationThis is the sub-project ofpython-sdbus.See thepython-sdbus documentation.
Package: sdbus-networkmanager
NetworkManager binds for python-sdbusSupports both asyncio (undersdbus_async.networkmanagermodule) and blocking (undersdbus_block.networkmanagermodule)Implements most NetworkManager dbus interfaces and objects.Requirementspython-sdbusversion higher than 0.8rc2Seepython-sdbus requirements.Installationpip install --only-binary ':all:' sdbus-networkmanagerDocumentationThis is the sub-project ofpython-sdbus.See thepython-sdbus documentation.
Package: sdbus-notifications
Freedesktop notifications binds for python-sdbusSupports both asyncio (undersdbus_async.notificationsmodule) and blocking (undersdbus_block.notificationsmodule)Implemented:NotificationsInterface - notifications interface to implement your own notifications daemon.FreedesktopNotifications - notifications interface proxy connected toorg.freedesktop.Notificationsservice and/org/freedesktop/NotificationspathRequirementspython-sdbusversion higher than 0.8rc2Seepython-sdbus requirements.Installationpip install --only-binary ':all:' sdbus-notificationsDocumentationThis is the sub-project ofpython-sdbus.See thepython-sdbus documentation.
Package: sdbus-secrets
Freedesktop secrets binds for python-sdbusSupports both asyncio (undersdbus_async.secretsmodule) and blocking (undersdbus_block.secretsmodule)Requirementspython-sdbusversion higher than 0.8rc2Seepython-sdbus requirements.Installationpip install --only-binary ':all:' sdbus-secretsDocumentationThis is the sub-project ofpython-sdbus.See thepython-sdbus documentation.
Package: sdbus-systemd
Systemd binds for python-sdbusMakes the interfaces and objects of the Systemd D-Bus API accessible.More info on the D-Bus API of systemd:http://0pointer.net/blog/the-new-sd-bus-api-of-systemd.htmlRequirementspython-sdbusversion 0.10.2 or newerSeepython-sdbus requirements.Installationpip install --only-binary ':all:' sdbus-systemdDocumentationThis is a sub-project ofpython-sdbus.See thepython-sdbus documentation.Please refer to it for all further information like dependencies and installation.
Package: s-dbw
S_Dbw###Compute the S_Dbw or SD validity index####S_Dbw validity index is defined by equation:S_Dbw = Scatt + Dens_bwwhere Scatt - means average scattering for clusters and Dens_bw - inter-cluster density.Lower value -> better clustering.####SD validity index is defined by equation:SD = k*Scatt + distancewhere distance - distances between cluster centers, k - weighting coefficient equal to distance(Cmax).Lower value -> better clustering.Installationpipinstall--upgrades-dbwUsagefroms_dbwimportS_Dbwscore=S_Dbw(X,labels,centers_id=None,method='Tong',alg_noise='bind',centr='mean',nearest_centr=True,metric='euclidean')#####ORfroms_dbwimportSDscore=SD(X,labels,k=1.0,centers_id=None,alg_noise='bind',centr='mean',nearest_centr=True,metric='euclidean')Parameters:X : array-like, shape (n_samples, n_features)List of n_features-dimensional data points. Each row corresponds to a single data point.labels : array-like, shape (n_samples,)Predicted labels for each sample (-1 - for noise).centers_id : array-like, shape (n_samples,)The center_id of each cluster's center. If None - cluster's center calculate automatically.alg_noise : str,Algorithm for recording noise points.'comb' - combining all noise points into one cluster (default)'sep' - definition of each noise point as a separate cluster'bind' -  binding of each noise point to the cluster nearest from it'filter' - filtering noise pointscentr : str,cluster center calculation method (mean (default) or median)nearest_centr : bool,The centroid corresponds to the cluster point closest to the geometric center (default: True).metric : str,The distance metric, can be ‘braycurtis’, ‘canberra’, ‘chebyshev’, ‘cityblock’, ‘correlation’,‘cosine’, ‘dice’, ‘euclidean’, ‘hamming’, ‘jaccard’, ‘kulsinski’, ‘mahalanobis’, ‘matching’, ‘minkowski’,‘rogerstanimoto’, ‘russellrao’, ‘seuclidean’, ‘sokalmichener’, ‘sokalsneath’, ‘sqeuclidean’, ‘wminkowski’,‘yule’.Default is ‘euclidean’.#####For S_Dbw:method : str,S_Dbw calc method:'Halkidi' - original paper [1]'Kim' - see [2]'Tong' - see [3]#####For SD:k: float,
The weighting coefficient equal to distance(Cmax). It is necessary for evaluating solutions with vary number of clusters because distance(C) depends on number of clusters [4].Returnsscore : floatThe resulting S_Dbw or SD score.References:M. Halkidi and M. Vazirgiannis, “Clustering validity assessment: Finding the optimal partitioning of a data set,” in ICDM, Washington, DC, USA, 2001, pp. 187–194.Youngok Kim and Soowon Lee. A clustering validity assessment Index. PAKDD’2003, Seoul, Korea, April 30–May 2, 2003, LNAI 2637, 602–608Tong, J. & Tan, H. J. Electron.(China) (2009) 26: 258.https://doi.org/10.1007/s11767-007-0151-8Halkidi, Maria & Vazirgiannis, Michalis & Batistakis, Yannis. (2000). Quality Scheme Assessment in the Clustering Process. LNCS (LNAI). 1910. 265-276. 10.1007/3-540-45372-5_26.
Package: sdc11073
OverviewISO/IEEE 11073 is a standards family for the communication of medical devices. SDC
(Service-Oriented Device Connectivity) is one of the latest additions to
this family and isdescribed here.Market-oriented information on SDC from Dräger can be foundhere.SDC is supported by the interoperability associationOR.Net.Getting StartedInstallationInstallsdc11073from pypi using:pip install sdc11073Install lz4 compression with:pip install sdc11073[lz4]The latest development version can be installed via:git clone https://github.com/Draegerwerk/sdc11073/
pip install .you may usepip install -e .for aneditable install.TutorialsTutorials can be found in thetutorialfolderTestsTest can be executed with:git clone https://github.com/Draegerwerk/sdc11073/
pip install ".[test]"
pytestNoticesThe sdc11073 python library is not intended for use in medical products, clinical trials, clinical studies, or in clinical routine.LimitationsThe wsdiscovery module only works with a single ipv4 address. Publishing a device on multiple networks it not supported.
The same is valid for searching.ISO 9001The sdc11073 python library was not developed according to ISO 9001.SupportIssues can be filedhere.LicenseSee LICENSE file
Package: sdc-api
sdc-api.pyInstallationpip install sdc-apiQuick Example.. code:: pyfrom sdc_api import SDC

sdc = SDC('dKey')

# Get guild, where you generated dKey
guild = await sdc.get_guild()
print(guild)

# Get guild's place
place = await guild.place()
print("Place of server in SDC is %d" % place)UsageGet Guild.. code:: pyguild = await sdc.get_guild('id')Get Guild Votes.. code:: pyguild = Guild(id='id')
votes = await guild.get_votes().. code:: pyvotes = await sdc.get_guild_votes('id')Get Guild Place.. code:: pyplace = await sdc.get_guild_place('id')
print("Place of server in SDC is %d" % place).. code:: pyguild = await sdc.get_guild('id')
place = await guild.place()
print("Place of server in SDC is %d" % place)Get User's Votes.. code:: pyuser = User(id='id')
votes = await user.get_votes().. code:: pyvotes = await sdc.get_user_votes('id')
Package: sdc-api-py
sdc-api.pyВраппер на Python дляSDC APIДокументация к API:https://docs.server-discord.com/Сервер поддержкивраппераУстановкаpip install sdc_api_pyВнимание!Враппер полностью асинхронен. Любые вызовы функций следует проводить только в асинхронных функцияхИспользованиеВраппер включает в себя 3 основных класса:Monitoringimportsdc_api_pymonitoring=sdc_api_py.Monitoring(SDC_TOKEN)...sdc_guild=awaitmonitoring.get_guild(id)# Использовать в асинхронной функцииsdc_guild_place=awaitmonitoring.fetch_guild_place(id)# Использовать в асинхронной функцииsdc_guild_rate=awaitmonitoring.get_guild_rate(id)# Использовать в асинхронной функцииsdc_user_rate=awaitmonitoring.get_user_rate(id)# Использовать в асинхронной функцииNikaWarnsimportsdc_api_pyNika=sdc_api_py.NikaWarns(SDC_TOKEN)...warns=awaitNika.fetch_warns(id)# Использовать в асинхронной функцииBotsimportsdc_api_pyfromdiscord.extimportcommandsclassBotsSDC(commands.Cog):def__init__(self,bot):self.bot=bot@commands.Cog.listener()asyncdefon_ready(self):bots=sdc_api_py.Bots(self.bot,SDC_TOKEN,logging)# Аргумент logging опциональный. По умолчанию True.bots.create_loop()#Как аргумент можно использовать время в минутах. Раз в это количество минут будет отправляться статистика.#По умолчанию 60 минут. Минимальный порог 30 минут.bot.add_cog(BotsSDC(bot))
Package: sdc-cryptography
sdc-cryptographyA common source code library for SDC services that use JWE. Apps wishing to use this should add the sdc_cryptography
dependency to their requirements.txt and install with pip.Basic Use (with pipenv, recommended)Install requirementspipinstallpipenv
makebuildRun the unit testspipenvrunmaketestCreate a package for deploymentpipenvrunmakesdistBasic Use (with activated virtual environment)Install requirementsThese commands will generate a requirements file that pip can use.  It doesn't have to be created this way but this is the easiest way.pipinstallpipenv
pipenvlock-r--dev>requirements.txt
pipinstall-rrequirements.txtRun the unit testsmaketestCreate a package for deploymentmakesdistUsageNeed to generate a keys.yml file first.  Note, this requires a file system
to store the file.  Then it needs to be loaded, and a key store generated.generate_keys.py<key_folder_location>After this has been configured, encrypting and decrypting can be done as in the
example below.secrets_from_file=yaml.safe_load("keys.yml")validate_required_secrets(secrets_from_file,EXPECTED_SECRETS,KEY_PURPOSE_SUBMISSION)key_store=KeyStore(secrets_from_file)# Encrypt JSON (Purpose has a single encryption key in the key store)fromsdc.crypto.encrypterimportencryptencrypted_json=encrypt(json,key_store,key_purpose)# Encrypt JSON with encryption service (Purpose has multiple encryption keys in the key store each tagged with a service)fromsdc.crypto.encrypterimportencryptencrypted_json=encrypt(json,key_store,key_purpose,encryption_for_service="some-service")# Decrypt UTF8 jwe tokenfromsdc.crypto.decrypterimportdecryptdata_bytes=data.decode('UTF8')decrypted_json=decrypt(data_bytes,key_store,key_purpose)PyPiThis repo is available from PyPi atsdc-cryptographyThe package is published automatically to PyPi when a tag is created in Github. The configuration for this is in the
.travis.yml file.
Package: sdcd
SDCD: Stable Differentiable Causal DiscoverySDCD is a method for inferring causal graphs from labeled interventional data.You can read the associated preprint,"Stable Differentiable Causal Discovery", on arXiv.If you find this work useful, please consider citing our work:@article{nazaret2023stable,title={Stable Differentiable Causal Discovery},author={Achille Nazaret and Justin Hong and Elham Azizi and David Blei},journal={arXiv preprint arXiv:2311.10263},year={2023}}Quick StartFor the main implementation of the method, see theSDCDclass.For a tutorial on the basic usage of SDCD, seethis notebook.Code used to generate paper figures can be found inthis folder.
Package: sdcflows
SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library ofNiPype-based workflows to preprocessB0mapping data, estimate the corresponding
fieldmap and finally correct for susceptibility distortions.
Susceptibility-derived distortions are typically displayed by images acquired with EPI
(echo-planar imaging) MR schemes.The library is designed to provide an easily accessible, state-of-the-art interface that is
robust to differences in scan acquisition protocols and that requires minimal user input.This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered byNiPreps.
Package: sdcli
![Streamelopers Dev](https://streamelopers.org/assets/img/logos/logo-white-bg.png)# Streamelopers CLI - [Config File Generator] ⚙️🚀![Build](https://github.com/DarkCode01/streamelopers-cli/workflows/Build/badge.svg?branch=master)This project is to provide to all dev for streamer from dominican republic all cofig or tools tha we are using when we create a stream, this project is to collaborate for all users can stream whatever conference, panel, activity in Dominican Republic or from the other country, without have to configurate all OBS for you.## Getting StartedYou have to install [sdcli](https://pypi.org/manage/project/sdcli/releases/) library from [Pypi](https://pypi.org/).### Installing` python3-mpip install-Usdcli `Runsdclito test if library was installed.` sdcli--help`#### Create a simple config file with scenes collection of a speaking.` sdcli generate--nametest `That command generate a new file config with yours scenes collection, in the foldersdcliHome on your computer.## Built With[Click](https://click.palletsprojects.com/) - The library to manage all arguments.## ContributingPlease read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.## AuthorsJose Segura-Initial work- [Darkcoder](https://github.com/Darkcode01)
Package: sd-controls
Streamdeck controlsThis project is a simple and small framework which simplifies developing and running custom apps for streamdeck devices.
It allows using streamdecks without the offical software so you can use it with any major OS.Currently supported StreamdecksStreamdeck Mk.2InstallingPrerequisiteshidapiLinux:sudoaptinstalllibhidapi-devMacOS:brewinstallhidapiInstalling sd-controlspipinstallsd-controlsContributingIf you are interested in this project and have a streamdeck, please consider contributing to it.
Adding support for other Streamdecks is greatly appreciated but feel free to propose any other changes too!Using this software with Linux (Linux udev rules)Create a/etc/udev/rules.d/50-elgato.rulesfile with the following content:SUBSYSTEM=="input", GROUP="input", MODE="0666"
SUBSYSTEM=="usb", ATTRS{idVendor}=="0fd9", ATTRS{idProduct}=="0080", MODE:="666", GROUP="plugdev"
KERNEL=="hidraw*", ATTRS{idVendor}=="0fd9", ATTRS{idProduct}=="0080", MODE:="666", GROUP="plugdev"Example appfromPILimportImagefromsd_controls.sdsystemimportSDSystem,SDUserApp,SpritesclassHelloWorldApp(SDUserApp):_KEY_GREET=1_KEY_ROTATE=2def__init__(self)->None:super().__init__("Settings")self._icon=SDUserApp.generate_labeled_img(Sprites.CLEAR,"Hello World")self._hello=SDUserApp.generate_labeled_img(Sprites.CLEAR,"Hello")self._world=SDUserApp.generate_labeled_img(Sprites.CLEAR,"World")self._rotate_key=Sprites.GOATdefget_icon(self)->Image:returnself._icondefinit(self)->None:self.set_key(self._KEY_GREET,self._hello)self.set_key(self._KEY_ROTATE,self._rotate_key)defkeys_update(self,keys_before:list[bool],keys:list[bool])->None:ifnotkeys[self._KEY_GREET]andkeys_before[self._KEY_GREET]:self.set_key(self._KEY_GREET,self._world)ifnotkeys[self._KEY_ROTATE]andkeys_before[self._KEY_ROTATE]:self._rotate_key=self._rotate_key.rotate(90)self.set_key(self._KEY_ROTATE,self._rotate_key)system=SDSystem()system.register_app(HelloWorldApp())system.start()
Package: sdcpy
sdcpyScale Dependent Correlation (SDC) analysis1, 2, 3in Python.Free software: MIT licenseDocumentation:https://sdcpy.readthedocs.io.FeaturesScale Dependent CorrelationTO DOInstallationYou can installsdcpyviapipfromPyPI:pipinstallsdcpyReferencesRodó, X. (2001). Reversal of three global atmospheric fields linking changes in SST anomalies in the Pacific, Atlantic and Indian oceans at tropical latitudes and midlatitudes.Climate Dynamics, 18:203-217. DOI: 10.1007/s003820100171.Rodríguez, M.A. & Rodó, X. (2004). A primer on the study of transitory dynamics in ecological series using the scale-dependent correlation analysis.Oecologia, 138,485-504. DOI: 10.1007/s00442-003-1464-4.Rodó, X. & M.A. Rodriguez-Arias. (2006). A new method to detect transitory signatures and local time/space variability structures in the climate system: the scale-dependent correlation analysis.Climate Dynamics, 27:441-458. DOI: 10.1007/s00382-005-0106-4.
Package: sdctool
sdctool=======A set of utilities to help with management of Streamsets pipelines.Installation-----------``pip install sdctool``Configuration-------------sdc-hosts.yml^^^^^^^^^^^^^Create a YAML file called ``sdc-hosts.yml`` in the root of the projectand fill in with details of the instances you plan to use with theseutilities. See the ``template-sdc-hosts.yml`` for an example of therequired formatting.``template-sdc-hosts.yml``:::instances:production:protocol: httpshost: production-sdc-hostport: 18630verify_ssl: Truestage:protocol: httpshost: stage-sdc-hostport: 18630verify_ssl: Truedevelopment:protocol: httphost: dev-sdc-hostport: 18630creds.yml^^^^^^^^^Create a YAML file called ``creds.yml`` in the root of the project andfill in with credentials of the instances you plan to use with theseutilities. See the ``template-creds.yml`` for an example of the requiredformatting.``template-creds.yml``:::instances:production:user: adminpass: s3cr3tstage:user: adminpass: s35am3development:user: adminpass: adm1n15trat0rUsage^^^^^The script ``sdc-tool`` includes help docs with details on the scriptarguments.Promote Pipeline^^^^^^^^^^^^^^^^Migrate one pipeline from one SDC environment to another. SDCadministrator credentials are required to execute these commands. If a``destPipelineId`` is not specified, a new pipeline will be created withthe same name and description as the exported pipeline. Currently,origin offset values are not part of the exported configuration, so nomanipulation of the destination's offset is required... code:: bash$ sdc-tool pipeline promote --src dev \--srcPipelineId ESImport77337a4f-74c5-45d1-91fd-7ce746f1bdfd \--dest stage \--destPipelineId ESImport48b1200f-c270-4937-a226-b3443ce850f3`Export Pipeline^^^^^^^^^^^^^^^Export pipeline to ``--out`` path... code:: bash$ sdc-tool pipeline export --src dev \--out sdc.json \--pipelineId StreamManagerConsumerV06fa7c3d3-458f-4446-9f51-398899118b73Import Pipeline^^^^^^^^^^^^^^^Import pipeline from ``--pipelineJson`` path... code:: bash$ sdc-tool pipeline import --dest production \--pipelineJson testpipeline.json \--pipelineId firstpipeStart Pipeline^^^^^^^^^^^^^^.. code:: bash$ sdc-tool pipeline start \--pipelineId firstpipe \--host productionStop Pipeline^^^^^^^^^^^^^.. code:: bash$ sdc-tool pipeline stop \--pipelineId firstpipe \--host productionValidate Pipeline^^^^^^^^^^^^^^^^^Validate pipleine and return issues... code:: bash$ sdc-tool pipeline validate \--pipelineId firstpipe \--host productionDeveloping----------This project depends on Python and Docker Compose Installing requiredlibraries.. code:: bashpip install -r requirements.txt
Package: sdc-visualization
# SeaDataCloud visualizations[![pypi](https://img.shields.io/pypi/v/sdc_visualization.svg)](https://pypi.python.org/pypi/sdc_visualization)[![travis](https://img.shields.io/travis/SiggyF/sdc_visualization.svg)](https://travis-ci.org/SiggyF/sdc_visualization)
[![docs](https://readthedocs.org/projects/sdc-visualization/badge/?version=latest)](https://sdc-visualization.readthedocs.io/en/latest/?badge=latest)
[![pyup](https://pyup.io/repos/github/SiggyF/sdc_visualization/shield.svg)](https://pyup.io/repos/github/SiggyF/sdc_visualization/)Visualisation tools and services for SeaDataCloudFree software: GNU General Public License v3Documentation:https://sdc-visualization.readthedocs.io.# FeaturesVisualizations of ODV files for SeaDataCloud## build Docker containerdocker build -t deltares-jupyter:latest .## run Docker image on port 8888docker run -d -p 8888:8888 –name deltares-jupyter –privileged –cap-add SYS_ADMIN –device /dev/fuse  deltares-jupyter start-notebook.sh  –NotebookApp.token=’sdc’## mount b2drop in the running Docker container, if neededdocker exec -it deltares-jupyter bash /etc/init.d/mount-b2drop <B2DROP_APP_USERNAME> <B2DROP_APP_PASSWORD> https://b2drop.eudat.eu/remote.php/webdav/## Logging
Both the start-notebook and the b2drop script use logging to stdout. Both use configurable logging as defined in [b-log](https://github.com/idelsink/b-log) for bash in [python logging](https://docs.python.org/3.6/library/logging.html).# CreditsThis package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage) project template.# History0.1.0 (2018-06-04)First release on PyPI.
Package: sddl
SDDLUsage$sddl-h
usage:sddl[-h][--typeTYPE][--list-types][--json][sddl]ReadSDDLstrings

positionalarguments:sddlSDDLstringtoparse.Ifnotprovided,readfromstdin.

options:-h,--helpshowthishelpmessageandexit--typeTYPETypeofACEtoparse.Default:GenericAccessRights--list-typesListavailableACEtypes--jsonOutputasJSON

Example:`sddl'O:BAG:BAD:(A;;GA;;;WD)'`or`echo'O:BAG:BAD:(A;;GA;;;WD)'|sddl`ExamplesUsing an alternative rights typesddl'O:SYG:SYD:AI(A;ID;FA;;;SY)(A;ID;FA;;;BA)(A;ID;0x1200a9;;;BU)(A;ID;0x1200a9;;;AC)(A;ID;0x1200a9;;;S-1-15-2-2)'--typeRegistryKeyAccessRights
Owner:LOCAL_SYSTEM
Group:LOCAL_SYSTEM
DACL:SDDL_AUTO_INHERITEDACCESS_ALLOWEDINHERITEDKEY_CREATE_LINK|KEY_QUERY_VALUE|KEY_SET_VALUE|KEY_WOW64_64KEY|KEY_CREATE_SUB_KEY|DELETE|READ_CONTROL|WRITE_DAC|KEY_ENUMERATE_SUB_KEYS|WRITE_OWNER|SYNCHRONIZE|KEY_WRITE|KEY_NOTIFY|KEY_READ|KEY_ALL_ACCESSLOCAL_SYSTEMACCESS_ALLOWEDINHERITEDKEY_CREATE_LINK|KEY_QUERY_VALUE|KEY_SET_VALUE|KEY_WOW64_64KEY|KEY_CREATE_SUB_KEY|DELETE|READ_CONTROL|WRITE_DAC|KEY_ENUMERATE_SUB_KEYS|WRITE_OWNER|SYNCHRONIZE|KEY_WRITE|KEY_NOTIFY|KEY_READ|KEY_ALL_ACCESSBUILTIN_ADMINISTRATORSACCESS_ALLOWEDINHERITEDKEY_CREATE_LINK|KEY_QUERY_VALUE|READ_CONTROL|SYNCHRONIZE|KEY_ENUMERATE_SUB_KEYSBUILTIN_USERSACCESS_ALLOWEDINHERITEDKEY_CREATE_LINK|KEY_QUERY_VALUE|READ_CONTROL|SYNCHRONIZE|KEY_ENUMERATE_SUB_KEYSALL_APP_PACKAGESACCESS_ALLOWEDINHERITEDKEY_CREATE_LINK|KEY_QUERY_VALUE|READ_CONTROL|SYNCHRONIZE|KEY_ENUMERATE_SUB_KEYSS-1-15-2-2
SACL:Output to JSON$sddl'O:SYG:SYD:AI(A;ID;FA;;;SY)(A;ID;FA;;;BA)(A;ID;0x1200a9;;;BU)(A;ID;0x1200a9;;;AC)(A;ID;0x1200a9;;;S-1-15-2-2)'--typeRegistryKeyAccessRights--json{"owner":"LOCAL_SYSTEM","group":"LOCAL_SYSTEM","dacl":{"flags":["SDDL_AUTO_INHERITED"],"aces":[{"type":"ACCESS_ALLOWED","flags":["INHERITED"],"rights":["KEY_CREATE_LINK","KEY_QUERY_VALUE","KEY_SET_VALUE","KEY_WOW64_64KEY","KEY_CREATE_SUB_KEY","DELETE","READ_CONTROL","WRITE_DAC","KEY_ENUMERATE_SUB_KEYS","WRITE_OWNER","SYNCHRONIZE","KEY_WRITE","KEY_NOTIFY","KEY_READ","KEY_ALL_ACCESS"],"sid":"LOCAL_SYSTEM"},{"type":"ACCESS_ALLOWED","flags":["INHERITED"],"rights":["KEY_CREATE_LINK","KEY_QUERY_VALUE","KEY_SET_VALUE","KEY_WOW64_64KEY","KEY_CREATE_SUB_KEY","DELETE","READ_CONTROL","WRITE_DAC","KEY_ENUMERATE_SUB_KEYS","WRITE_OWNER","SYNCHRONIZE","KEY_WRITE","KEY_NOTIFY","KEY_READ","KEY_ALL_ACCESS"],"sid":"BUILTIN_ADMINISTRATORS"},{"type":"ACCESS_ALLOWED","flags":["INHERITED"],"rights":["KEY_CREATE_LINK","KEY_QUERY_VALUE","READ_CONTROL","SYNCHRONIZE","KEY_ENUMERATE_SUB_KEYS"],"sid":"BUILTIN_USERS"},{"type":"ACCESS_ALLOWED","flags":["INHERITED"],"rights":["KEY_CREATE_LINK","KEY_QUERY_VALUE","READ_CONTROL","SYNCHRONIZE","KEY_ENUMERATE_SUB_KEYS"],"sid":"ALL_APP_PACKAGES"},{"type":"ACCESS_ALLOWED","flags":["INHERITED"],"rights":["KEY_CREATE_LINK","KEY_QUERY_VALUE","READ_CONTROL","SYNCHRONIZE","KEY_ENUMERATE_SUB_KEYS"],"sid":"S-1-15-2-2"}]},"sacl":null}
Package: sddpf
Sentry-DingDingSentry的钉钉通知插件安装$pipinstallsentry-dingding使用在项目的所有集成页面找到DingDing插件，启用，并设置Access Token在插件上使用Test Plugin进行测试，当配置好Access Token后，在钉钉群内会得到以下警告点击href按钮，打开异常详情页面。