Saravanan666/pypi-org huggingface dataset:
Package: mm-metrics
# metrics-pythonMorgan & Morgan wrapper for application metrics instrumentation.## Installation```bashpip install mm-metrics```## Core API#### IncrementIncrement a counter for a metric.```increment(metric)```#### GaugeSet the magnitude of a metric to a value```gauge(metric, value)```#### TimerTime the execution of a task, via either decorator or context manager```# as decorator@timer(metric)# as contextmanagerwith timer(metric):```## Environment Variables| Name | Default | Description || --- | --- | --- || METRICS_DEFAULT_BACKEND | 'metrics.backends.DataDogMetricsBackend' | The dot-notation path to a metrics backend to default to || DD_API_KEY | None | DataDog API Key || DD_APP_KEY | None | DataDog App Key || DD_SERVICE_NAME | None | The name of the current service. If set, every metric will be tagged by this value like 'service:<service name>' || DD_SERVICE_PRIORITY | None | The priority of the current service, on a scale of 1-3 with 1 being highest priority. If set, every metric will be tagged by this value like 'priority:<service priority>' || DD_GLOBAL_TAGS | None | Any additional global tags to apply when metrics are sent. For instance, global tags like 'foobar:1,baz:2' would send tags `['foobar:1', 'baz:2']` with every metric |## Examples1. Time the execution of a task```pythonfrom metrics.decorators import timerimport requests@timer(metric='mm.connections.sf.sync.timer')def sync_to_sf(data):resp = requests.post('https://sf-url.com', data=data)return resp.ok```2. Increment an error counter when a function hits an error, increment a count counter when a function completes successfully```pythonfrom metrics.decorators import increment@increment(on_complete_metric='mm.connections.aws.secrets.count', on_error_metric='mm.connections.aws.secrets.errors.count')def secrets():# get AWS secrets handlereturn boto3.client('secrets')```3. Send some extra tags to attach to a metric (note: some backends might not support tagging and will simply disregard the parameter)```pythonfrom metrics.decorators import increment@increment(on_complete_metric='mm.requests.get.count', on_error_metric='mm.connections.get.errors.count', tags=['path:/'])def get(self):return HttpResponse(status=200)```## MotivationGiven that most client's have similar (and straightforward) requirements for metric tracking,we wrap these common methods (as well as helper tooling) in this abstract Python API. Thisgives us the flexibility to:* Maintain metric tracking functionality in a central location* Decouple metric tracking from core application functionality* Swap statsD providers opaquely (e.g DogStatsD -> Vanilla StatsD)## Additional Reading* For more detail on metrics collection at MM and metric naming guidelines, see the wiki page [here](https://help.forthepeople.com/index.php/Engineering_and_Platform/Metrics_Monitoring_and_Alerting#Log_Collection)
Package: mmmgqa
Multi-Modal Casual Multi-Grouped Query AttentionExperiments around using Multi-Modal Casual Attention with Multi-Grouped Query AttentionAppreciationLucidrainsAgoriansInstallpip install mmmgqaUsageimporttorchfrommmca_mgqa.attentionimportSimpleMMCA# Define the dimensionsdim=512head=8seq_len=10batch_size=32#attnattn=SimpleMMCA(dim=dim,heads=head)#random tokensv=torch.randn(batch_size,seq_len,dim)t=torch.randn(batch_size,seq_len,dim)#pass the tokens throught attntokens=attn(v,t)print(tokens)ArchitectureTodoLicenseMIT
Package: mmm-gui
File        : README.md
Maintainer  : Felix C. Stegerman <flx@obfusk.net>
Date        : 2018-09-16

Copyright   : Copyright (C) 2018  Felix C. Stegerman
Version     : v0.1.1
License     : GPLv3+PyPI VersionBuild
StatusGPLv3+Descriptionm - minimalistic media manager - GUIA minimalistic GUI form.Examples$m-gui--stay-fullscreen--scale2.0Help$m-gui--help# show options$m-gui--show-config# show configurationRequirementsPython >= 3.5, PyGObject, GTK+ 3,VTE; andmof course.InstallingYou can just putm-gui.pysomewhere on your$PATH(in e.g.~/bin; I suggest calling itm-gui, but you’re free to choose
another name).You may want to clone the repository instead of just downloadingm-gui.pyto be able to get new versions easily.Alternatively, you can install mmm-gui using pip (the Python package
manager) or build and install a Debian package.NB: the pip and Debian packages are calledmmm-guiinstead ofm-gui.Using git$cd/some/convenient/dir$gitclonehttps://github.com/obfusk/m-gui.gitobfusk-m-gui$cd~/bin# or some other dir on your $PATH$ln-s/some/convenient/dir/obfusk-m-gui/m-gui.pym-guiUpdating:$cd/some/convenient/dir/obfusk-m-gui$gitpullUsing pip$pip3install--usermmm-gui# for Debian; on other OS's you may need# pip instead of pip3 and/or no --userBuilding a Debian package$sudoaptinstalldebhelperdh-pythonpandoc# install build dependencies$sudoaptinstallpython3-gilibgtk-3-0libvte-2.91-0# run dependencies$cd/some/convenient/dir$gitclonehttps://github.com/obfusk/m-gui.gitobfusk-m-gui$cdobfusk-m-gui$dpkg-buildpackage$sudodpkg-i../mmm-gui_*_all.debConfiguration FileYou can configure some settings in~/.obfusk-m/gui.json. To see the
current configuration, run:$m-gui--show-configBookmarksNB: since bookmarks are saved ingui.json, adding a bookmark from
the GUI will open and re-save this file. Formatting is thus not
preserved, data should be (unless you happen to trigger a race condition
by writing to this file in between loading and saving by the GUI).{"bookmarks":["/some/media/dir","/some/other/media/dir"]}Defaults{"scale":2.0,"stay_fullscreen":true}Adding commands{"add_commands":[["mark-and-next space _Mark Playing and Play Next"]],"scripts":{"mark-and-next":"#{M} mark playing && #{M} next"}}m options{"m_options":{"colour":true,"ignorecase":true,"numeric-sort":true,"show-hidden":true}}m command{"m_command":"mmm"}NB: the command is passed to the shell, so you’ll need to escape/quote
special characters (including spaces) appropriately; be careful!TODOupdate README + version (4x + dch) + package (deb + pip)!ack TODOalso allow setting –numeric-sort etc. on the flycheckboxes in gui?–options passed through to m?handle exceptions better.document, test!?; screenshot?use shell “m …” only if no need to quote?!running w/python3-Wdresults in DeprecationWarningsVte.Terminal.spawn_async not yet availableLicenseGPLv3+LinksGTK+ key
namesfor key bindings like<Primary>q.
Package: mmmint-registration-recognition
Registration Recognition Python SDKRegistration Recognition by mmmint.aiVisitmmmint.ai/solutions/fahrzeugschein.1. Handle your credentialsCreate an environment variable to store the api key - reach out tosupport@mmmint.ai.exportAPI_KEY="yourapikey"2. Use the python sdk to call the APICreate an python file and insert the following to load the credentials:apikey=os.environ.get("API_KEY","")Create an Endpoint with your Credentialsfrommmmint.registration_recognition.sdkimportClientclient=Client(apikey)Post fahrzeugschein from local Imageimage_path="4.jpg"client.new_fahrzeugschein(image_path)Alternative you can post an image url to the API with:image_url="https://deinautoguide.de/wp-content/uploads/2020/06/Fahrzeugschein-Aventador.jpg"client.new_fahrzeugschein_url(image_url)Get Status of Calculation and Resultsfrommmmint.registration_recognition.sdkimportClientwhileclient.status==Status.STARTED.value:client.get_fahrzeugschein_status()time.sleep(2)ifclient.status==Status.FINISHED.value:client.get_fahrzeugschein()foriinclient.fahrzeugschein:print(i,": ",client.fahrzeugschein[i])else:print("Aborted")Get the detections:client.get_detection_bounding_boxes()client.get_detection_image()client.get_detection_cropped_image()Full Examplefrommmmint.registration_recognition.sdkimportClient,Statusapikey=os.environ.get("API_KEY","")# Create an Endpoint with your Credentialsclient=Client(apikey)# Post Fahrzeugschein from local Imageimage_path="4.jpg"client.new_fahrzeugschein(image_path)print(client.session)# Post Fahrzeugschein from URLimage_url="https://deinautoguide.de/wp-content/uploads/2020/06/Fahrzeugschein-Aventador.jpg"client.new_fahrzeugschein_url(image_url)# Or use an existing oneclient.get_sessions_finished()[0]["session_id"]client.session=client.get_sessions_finished()[0]["session_id"]print(client.session)# Get Status of Calculationwhileclient.status==Status.STARTED.value:client.get_fahrzeugschein_status()time.sleep(2)# Get Results of Fahrzeugscheinifclient.status==Status.FINISHED.value:client.get_fahrzeugschein()foriinclient.fahrzeugschein:print(i,": ",client.fahrzeugschein[i])bb=client.get_detection_bounding_boxes()di=client.get_detection_image()ci=client.get_detection_cropped_image()print(bb)print(di)print(ci)client.edit_fahrzeugschein()
Package: mmmm
Google My Maps to MAPS.ME KML converterMAPS.ME just ignores colors and icon images on importing Google My Maps KML.
This simple tool tries to keep them.
MAPS.ME has much less available colors and icons.
So they are not the same as in the original KML from Google but they are as close as possible.
Feel free to suggest new icon mappings.Usagemmmm google-maps.kml > maps-me.kmlInstallationpip3 install mmmm
Package: m-mock
v1.3.2更改了方法名称更新后需要更改原方法的importinstallpip install m-mockmock仿照mock.js生成随机数据Basiccharacter 字符m_mock.mock("@character()"):Xm_mock.mock("@character('lower')"):fm_mock.mock("@character('upper')"):Em_mock.mock("@character('number')"):4m_mock.mock("@character('symbol')"):)m_mock.mock("@character('aeiou')"):ointeger 整数m_mock.mock("@integer(2,4)"):3m_mock.mock("@integer(3)"):4941869747671297m_mock.mock("@integer()"):-3191979912544874boolean 布尔值m_mock.mock("@boolean(2,4)"):Falsem_mock.mock("@boolean(3)"):Truem_mock.mock("@boolean()"):Falsefloat 浮点数m_mock.mock("@float(2,4)"):2.937m_mock.mock("@float(3)"):229342892631770.44m_mock.mock("@float()"):872256.00439string 字符串m_mock.mock('@string(2)'):W3m_mock.mock('@string('lower', 3)'):iczm_mock.mock('@string('upper', 3)'):NBEm_mock.mock('@string('number', 3)'):108m_mock.mock('@string('symbol', 3)'):!%=m_mock.mock('@string('aeiou', 3)'):eiam_mock.mock('@string('lower', 1, 3)'):fihm_mock.mock('@string('upper', 1, 3)'):Fm_mock.mock('@string('number', 1, 3)'):102m_mock.mock('@string('symbol', 1, 3)'):`m_mock.mock('@string('aeiou', 1, 3)'):aaom_mock.mock('@string('chinese', 1, 3)'):捎创m_mock.mock('@string('cn_symbol', 1, 3)'):～m_mock.mock('@string('cn_string', 3, 9)'):〉·，（鉴或【落【m_mock.mock('@string('cn_string', 1)'):侄m_mock.mock('@string('abcd', 2)'):bdname 中英文姓名m_mock.mock("@clast()"):折m_mock.mock("@cfirst()"):丰m_mock.mock("@cname()"):梁恒蹄m_mock.mock("@cname(3)"):臧倡荷m_mock.mock("@last()"):Smithm_mock.mock("@first()"):Kennetm_mock.mock("@name()"):JessicaJacksonm_mock.mock("@name(True)"):MelissaMarkDavisdate 日期# %y 两位数的年份表示（00-99）# %Y 四位数的年份表示（000-9999）# %m 月份（01-12）# %d 月内中的一天（0-31）# %H 24小时制小时数（0-23）# %I 12小时制小时数（01-12）# %M 分钟数（00=59）# %S 秒（00-59）# %a 本地简化星期名称# %A 本地完整星期名称# %b 本地简化的月份名称# %B 本地完整的月份名称# %c 本地相应的日期表示和时间表示# %j 年内的一天（001-366）# %p 本地A.M.或P.M.的等价符# %U 一年中的星期数（00-53）星期天为星期的开始# %w 星期（0-6），星期天为星期的开始# %W 一年中的星期数（00-53）星期一为星期的开始# %x 本地相应的日期表示# %X 本地相应的时间表示# %Z 当前时区的名称# datem_mock.mock("@date('%Y-%m-%d%H:%M:%S', '+1d')"):2023-02-2113:50:02m_mock.mock("@date('%Y-%m-%d%H:%M:%S', '+24h')"):2023-02-2113:50:02m_mock.mock("@date('%Y年-%m月-%d日 %H时:%M分:%S秒', '+2mon')"):2023年-04月-20日13时:50分:02秒m_mock.mock("@date('%Y年-%m月-%d日 %H时:%M分:%S秒', '+2min')"):2023年-02月-20日13时:52分:02秒# timem_mock.mock("@time('', '+4sec')"):15:51:46m_mock.mock("@time"):15:51:42# nowm_mock.mock("@now('year')"):2023-01-0100:00:00m_mock.mock("@now('month')"):2023-02-0100:00:00m_mock.mock("@now('week')"):2023-02-2600:00:00m_mock.mock("@now('day')"):2023-02-2000:00:00m_mock.mock("@now('hour')"):2023-02-2013:00:00m_mock.mock("@now('minute')"):2023-02-2013:42:00m_mock.mock("@now('second')"):2023-02-2013:42:44m_mock.mock("@now()"):2023-02-2013:42:44m_mock.mock("@now('year','%Y年-%m月-%d日 %H:%M:%S')"):2023年-01月-01日00:00:00m_mock.mock("@now('week','%Y年 %m月%d日 %H:%M:%S')"):2023年02月26日00:00:00
Package: mmodule
This is a useful module.Its full name called 'mymodule'.But someone upload on pypi a module called 'mymodule' back in 2012,so,you know, the last thing I want to do is to abbreviate this module name into mmodule.But use it,dude.It can draw polygon instantly,it can conversion from one time units to the other time units,etc.It's 2021 now.Take care of yourself in this pandemic.Live it!
Package: mmon
mmonA customizable (BingChat-like) chat bot.Installpipinstall-UmmonSet environment variable in your~/.bashrc,~/.zshrc, etc.exportOPENAI_API_KEY=sk~XXXXXXXXOr, to use Azure OpenAI endpoint, set following environment variable:exportAZURE_OPENAI_ENDPOINT=https://XXXXXX.openai.azure.com/exportOPENAI_API_KEY=XXXXXXXXXXexportOPENAI_API_TYPE=azureexportOPENAI_API_VERSION=2023-07-01-preview# Use a deploymetn of gpt-3.5-turbo or gpt-4 with version 0613 or laterexportMMON_DEPLOYMENT=gpt-35-turbo-16kWhen you first runmmon, it will generate config file in~/.mmon_cfg.jsonbased on the environment variable (and ignore environment variable afterward).Usagepython-mmmon# ormmon
Package: mmp
mmpModule manager python  is a cli solution for an easier and faster way to handle you python modules.Documentation pageUpdate docs hereSource code git repoInspirationThe inspiration and the goal to deliver its a similar way of handling node modules
but off course not losing the simplicity of the python programing language, taking
into consideration the difference in use cases between both programming languages.I know that the name its wrong but mmp was taken by the time that i build this
solution.QuickstartInstallationRequirementsPython 3.6+virtualenvfor the envsdocoptfor command handling and docsTo install mmp:$pip3installmmpFirst commandsFor installing modules into your project$mmpinstall[module_name]This is how you run your scripts.$mmprunmy_perfect_script.pyby the wayif your script file name is run.py run this instead.$mmprunHelpIf you need help, just add -h to whatever you want to know about$mmp-h
$mmprun-hThe docs are here if you have some more problems with the library
Package: mm-pal
mm_pal (Memory Map Protocol Abstraction Layer)Python package for providing an runtime access to embedded devices based
on a memory map type interface.DescriptionThis package consists of base classes to build interfaces and a mock
device used for testing and as an example of implementation.Device connection such asserialand parsers such asjsonare used to get
standard output.ConceptEmbedded devices are generally constrained and communication with
runtime parameters can take up lots of resources. Since many users of
microcontroller are familiar with the concept of a memory map or
register map theMemory Map
Managercan be
used as and lightweight way of coordinating a single memory map for
documentation, C structures, and python interface. Themm_palprovides
the building blocks for a custom interface. All common functions related
to connecting to the device, parsing output of the registers, and
reading/writing to the registers are handled and only application
specific functionality needs to be implemented. This can make
development easier, especially when the registers are changing
frequently.Architecture┏━━━━━━━━━━━┓       ┏━━━━━━━━━┓
┃ developer ┃       ┃ script  ┃
┗━━━━━▲━━━━━┛       ┗━━━━▲━━━━┛
      ┃                  ┃
 ┏━━━━┸━━━━┓       ┏━━━━━┸━━━━━┓
 ┃ my_cli  ◄━━━━━━━┫ my_app_if ┃
 ┗━━━━▲━━━━┛       ┗━━━━━▲━━━━━┛
      ┃    ┌────────┐    ┃
      ┃    │ mm_pal │    ┃
┌─────╂────┴────────┴────╂────────┐
│┏━━━━┸━━━┓          ┏━━━┸━━━┓    │
│┃ mm_cmd ◄━━━━━━━━━━┫ mm_if ┃    │
│┗━━━━━━━━┛          ┗━━━▲━━━┛    │
│                        ┃        │
│                ┏━━━━━━━┸━━━━━━━┓│
│                ┃ serial_driver ┃│
│                ┗━━━━━━━▲━━━━━━━┛│
└────────────────────────╂────────┘
                         ┃
              ┏━━━━━━━━━━▼━━━━━━━━━━┓
              ┃ my_embedded_device  ┃
              ┗━━━━━━━━━━━━━━━━━━━━━┛Installing packageTo installmm_paluse pip:pip install mm_pal --userNote: only use python 3 which may require pip3To install from sources:./setup.py install --force --userNote: setuptools package should be installed.Using the packageThis package is meant to be built upon. An example implementation is done with
themock_ifand themock_cli.The mm_cmd is based on thecmd2module
is probably worth reading thedocumenation.Useful commandsTo regenerate documentation use:sphinx-apidoc -f -o docs/source/ mm_pal mock_pal; make html -C docs/TestingTo test the package withpytestmust be installed installed and updated.Using./setup.py testortoxwill perform tests on the
source package.Special thanks toriotctrlas it served as a great example.
Package: mmpm
AuthorContactBrandon Marlowebpmarlowe-software@protonmail.comMMPM, the MagicMirror Package Manager is a self updating command line and graphical interface designed to simplify the installation, removal, and maintenance of MagicMirror packages.The MagicMirror Package Manager is featured as an alternative installation method on theMagicMirror Documentation.Quick Installation GuideMMPM can be installed as a Docker image, or throughpip.Dockerdockerpullkarsten13/mmpmpippython3-mpipinstall--upgrademmpmEnsure Your PATH is Correctecho'export PATH="$PATH:$HOME/.local/bin"'>>~/.bashrc&&source~/.bashrcFeaturesManage packages: install, remove, update, and upgrade.Search and view package details.Add custom packages (similar to Ubuntu PPAs).CLI tab-autocompletion.Easy access to MMPM and MagicMirror configuration.Manage MagicMirror: install, upgrade, remove.Control MagicMirror modules: hide/show (details)Control MagicMirror state: start, stop, restart (supports npm, pm2, docker-compose).Look to theWikiKey Pages:Migrating to MMPM 4.x.xInstallation & RemovalUI Installation & RemovalEnvironment Variables(Extremelyimportant)Hide/Show MagicMirror Modules
Package: mmpost
mmpostPost message to mattermost from command line.Installationsudopip3installmmpostConfigurationmmpostcan be configured using both command line arguments and a configuration file, or a combination of both.This configuration file can be put in $XDG_CONFIG_HOME/mmpost/config (normally ~/.config/mmpost/config):[DEFAULT]

# Mattermost server
server = <SERVER>

# Mattermost server
port = 443

# Mattermost token
token = <TOKEN>

# Mattermost team name
team = <TEAM>

# Mattermost channel
channel = <MATTERMOST CHANNEL>

# Mattermost message
message = <MESSAGE TO POST>

# Skip SSL-verify (set to True to skip SSL verification)
no-verify=

# Wrap message in code block (```)
code =Normally you would configure server, token, team (and channel) and only specify --message on command line.Ifmessageis not configured, it will read from stdin. If empty value is passed to stdin, nothing will be posted.
Package: mmpxrt
mmpxrtRaytracing code for x-ray spectrometers with (not only) mossaic crystals
Written 2017-2020, Michal SmidThis is a raytracing code for design and analysis of x-ray spectrometers. Useful tool for (rather) experienced physicist. For more info about distribution, installation, usage, etc. of this package, please see attached manual.All files related to the code are available at:https://gitlab.hzdr.de/smid55/mmpxrtThe packaging was done by using this manual:https://packaging.python.org/tutorials/packaging-projects/
Package: mmpy
This is the officially supported python wrapper for Musicmetric http REST api. This API provides direct access to much of the data we use to drive our products.  This data is available for a wide array of music artists; in general, the more popular an artist is, the more likely there is going to be data.We provide the following data and services:Time series data of fan activity on a set of social networks,Sentiment analysis service for music related textFan demographicsa variety of lists and chartsThe full API documentation can be found athttp://developer.musicmetric.comWhat to do with your API keyIn order to use this wrapper with the Musicmetric API, you need to place your API key in one of two places:In an environment variable ‘SEMETRIC_KEY’In a config file, expected to be a ~/.semetric/config that should contain the following lines:> [semetric]
> api.key = YOUR_KEYboth of these are checked at run time in the order listed. The first key found will be used (ie. if there’s a key in env, this will be used and the config file will be ignored).Simple exampleHere we fetch the chart of artists who bittorrent swarms have the highest acceleration rates and print the top 10:$import mmpy
$p2p = mmpy.Chart('downloads daily high flyers')
$for rank, val, artist in p2p.artist[:10]:
...    print rank, ':', artist.name, ':', val
...:
1 : Wiz Khalifa : 220.9106
2 : Gotye : 200.7477
3 : Train : 164.7793
4 : Maroon 5 : 164.5974
5 : David Guetta : 139.8408
6 : The Wanted : 139.1948
7 : Kimbra : 125.7001
8 : Katy Perry : 125.0221
9 : Carly Rae Jepsen : 113.4585
10 : Morten Harket : 92.6741
$LicenseThis software is released and distributed under the ISC License, whose text is contained in LICENSE.txt.
Package: mmpy-bot
Documentation available atRead the Docs.DescriptionA Python based chat bot framework forMattermost. The code for
this bot framework was heavily re-factored in v2.0.0 and will only work with Python 3.8 or higher.
For Python 2 and Python3 < 3.8 support, please use versions v1.3.9 or lower.FeaturesBased on MattermostWebSocket API(V4.0.0)Simple plugins mechanismConcurrent message handlingAttachment supportAuto-reconnect to Mattermost after connection lossAdditional features added in v2.x:Multi-threading and asyncio executionIntegrated webhook serverSupport for click functionsJob schedulingCompatibilityMattermostmmpy_bot>= 4.0> 1.2.0<  4.0unsupportedInstallation:warning: Warning: pip will grab v1.x if your Python version is less than 3.8!v2.x (latest)pip install mmpy-botv1.3.9 (force legacy)pip install mmpy-bot==1.3.9Usage (v2.x)RegistrationFirst you need to create a bot account on your Mattermost server.
Note:Enable Bot Account Creationmust be enabled under System ConsoleLogin to your Mattermost server as a user with Administrative privileges.Navigate to Integrations -> Bot Accounts -> Add Bot AccountFill in the configuration options and upon creation take note of theAccess TokenNote that some API functions, such as ephemeral message replies, will require the bot to be part of theSystem Admingroup,
however most API functions will work with a regularMemberaccount role. Just be aware that if some API functions are not working, it
may be due to a lack of appropriate permissions.Configure and run the botCreate an entrypoint file (or copy the one provided), that defines your Mattermost server and bot account settings and imports
the desired modules.Examplemy_bot.py:#!/usr/bin/env pythonfrommmpy_botimportBot,Settingsfrommy_pluginimportMyPluginbot=Bot(settings=Settings(MATTERMOST_URL="http://chat.example.com",MATTERMOST_PORT=443,MATTERMOST_API_PATH='/api/v4',BOT_TOKEN="a69155mvlsobcnqpfdceqihaa",BOT_TEAM="test",SSL_VERIFY=True,),# Either specify your settings here or as environment variables.plugins=[MyPlugin()],# Add your own plugins here.)bot.run()Set the executable bit on the entrypoint file (i.e.chmod +x my_bot.py) and start your bot from the command prompt. Now you can talk to your bot in your Mattermost client!In order to get the most out of your bot, you will need to write your own plugins. Refer to thePlugins Documentationto get started.Talk to usThe primary channel for communication isGitHubviaIssuesorPull requestsbut you may also find some of us inDiscordfor some real-time interaction.