Saravanan666/pypi-org huggingface dataset:
Package: markination
MarkinationMarkination is a versatile Python package that provides an easy-to-use Discord message paginator using the discord.py library.FeaturesDiscord Button PaginatorDiscord Dropdown PaginatorBuilt-in support for navigation buttons (Next, Previous, First, Last).Designed for ease of use in your Discord bot projects.Extensible and open-source.InstallationYou can install Markination usingPoetryandPyPipoetryaddmarkinationpipinstallmarkinationUsageSimple Button Setup:frommarkinationimportButtonPaginatorfromdiscord.extimportcommandsimportdiscord@bot.command()asyncdefpaginator(ctx:commands.Context):# A list of embeds to paginateembeds=[discord.Embed(title="First embed"),discord.Embed(title="Second embed"),discord.Embed(title="Third embed")]# Start the paginatorawaitButtonPaginator.Simple().start(ctx,pages=embeds)Custom Buttons:frommarkinationimportButtonPaginatorfromdiscord.extimportcommandsimportdiscordfromdiscordimportui@bot.command()asyncdefpaginator(ctx:commands.Context):embeds=[discord.Embed(title="First embed"),discord.Embed(title="Second embed"),discord.Embed(title="Third embed")]PreviousButton=discord.ui.Button(label=f"Previous")NextButton=discord.ui.Button(label=f"Next")FirstPageButton=discord.ui.Button(label=f"First Page")LastPageButton=discord.ui.Button(label=f"Last page")PageCounterStyle=discord.ButtonStyle.danger# Only accepts ButtonStyle instead of ButtonInitialPage=0# Page to start the paginator on.timeout=0# Seconds to timeout. Default is 60ephemeral=bool# Defaults to false if not passed in.awaitButtonPaginator.Simple(PreviousButton=PreviousButton,NextButton=NextButton,FirstEmbedButton=FirstPageButton,LastEmbedButton=LastPageButton,PageCounterStyle=PageCounterStyle,InitialPage=InitialPage,timeout=timeout,ephemeral=ephemeral).start(ctx,pages=embeds)Simple Dropdown SetupfrommarkinationimportDropdownPaginatorfromdiscord.extimportcommandsimportdiscordfromdiscordimportui@bot.command()asyncdefdropdown(ctx):pages=[discord.Embed(title="Page 1",description="This is the first page."),discord.Embed(title="Page 2",description="This is the second page."),discord.Embed(title="Page 3",description="This is the third page.")]awaitDropdownPaginator.Simple(ctx,pages,timeout=60).start(ctx)Pull Requests are always open!
Package: markings
Markingsmarkingsis a library that provides a way to mark your Python module, usually with issues.
Because it is part of the code, it enable you to have an "up to date" list of issues, per a commit, and to be able to view the trends of the issues along the git commits as oppose to using an externalissue tracking system.The library is based onpytest's markersand especially on@pytest.mark.xfail.ExampleImport themarkerfrom themarkingsmodule.
Decide how you want to mark a fuction and use the decorator to mark the function.from markings import marker

@marker.todo("Receive the name of the user as parameter")
def func():
    print("hello world")In the previous example themarkerwastodo, but it can be anything you want:from markings import marker

@marker.anything_you_want("Receive the name of the user as parameter")
def func():
    print("hello world")Installationpip install markingsTests./scripts/test.shLintHow to contribute
Package: markit-gateway
MARKIT GatewayThis repo contains code to interact withrfmarkit-esp-node.Get Startedgitclonehttps://github.com/mvig-robotflow/rfmarkit-gateway.git
pythonsetup.pyinstallOr from PYPI:python-mpipinstallmarkit-gatewayDocumentationFor documentation, please refer torfmarkit-gateway/docs.
Package: markit-realsense-recorder
RealsenseRecorderA set of Python scripts to operate Intel Realsense Cameras. By using multi-thread techniques, this script can record color + depth from up to 4 Realsense Cameras (2 x L515 and 2 x D435)InstallationFrom Sourcegitclonehttps://github.com/mvig-robotflow/rfimu-realsense-recordercdrfimu-realsense-recorder
pythonsetup.pyFrom PyPipython-mpipinstallmarkit-realsense-recorderUsageScript Usageimportioimportcv2importnumpyasnpimportyamlfromrealsense_recorder.commonimportnew_realsense_camera_system_from_config,RealsenseSystemModelcfg_str="""realsense:cameras:- color:- exposure: -1format: rs.format.bgra8fps: 30height: 1080width: 1920depth: [] # Do not user depthendpoint:{}imu: []product_id: 0B64 # 0B64 for L515product_line: L500 # Currently supported models are L500(L515) and D400(D435)ref: 1sn: f0220485 # SN of target Camera, can get from RealSenseViewersystem:base_dir: ./realsense_dataframe_queue_size: 100interactive: falseinterval_ms: 0use_bag: false"""defmain():cfg=yaml.load(io.StringIO(cfg_str),yaml.SafeLoader)sys=new_realsense_camera_system_from_config(RealsenseSystemModel,cfg['realsense'],None)print(sys.cameras)cam=sys.cameras[0]cam.open()cam.start()mtx=np.array(cam.intrinsics_matrix)whileTrue:color_image,depth_image,ts,sys_ts,frame_counter=cam.get_frames()cv2.imshow("frame",color_image)key=cv2.waitKey(1)ifkey==27:print('esc break...')cv2.destroyAllWindows()breakmain()Command Line UsageTo Create and persist record configuration:python-mrealsense_recorderconfigureTo launch a remote record station that supports REST APIpython-mrealsense_recorderserveTo launch a remote record station that is calibratedpython-mrealsense_recorderserve--calibration=path/to/calibrationNote: The calibration.json file is expected to be in thepath/to/calibrationdirectory. The calibration file can be generated by runningpython -m realsense_recorder calibrateTo run calibrationpython-mrealsense_recordercalibrateTo run post-processingpython-mrealsense_recorderpost_process--base_dirpath/to/recording
Package: markit-rs-recorder
RealsenseRecorderA set of Python scripts to operate Intel Realsense Cameras. By using multi-thread techniques, this script can record color + depth from up to 4 Realsense Cameras (2 x L515 and 2 x D435)InstallationFrom Sourcegitclonehttps://github.com/mvig-robotflow/rfimarkit-rs-recordercdrfimarkit-rs-recorder
pythonsetup.pyFrom PyPipython-mpipinstallmarkit-rs-recorderUsageScript Usageimportioimportcv2importnumpyasnpimportyamlfrommarkit_rs_recorder.commonimportnew_realsense_camera_system_from_config,RealsenseSystemModelcfg_str="""realsense:cameras:- color:- exposure: -1format: rs.format.bgra8fps: 30height: 1080width: 1920depth: [] # Do not user depthendpoint:{}imu: []product_id: 0B64 # 0B64 for L515product_line: L500 # Currently supported models are L500(L515) and D400(D435)ref: 1sn: f0220485 # SN of target Camera, can get from RealSenseViewersystem:base_dir: ./realsense_dataframe_queue_size: 100interactive: falseinterval_ms: 0use_bag: false"""defmain():cfg=yaml.load(io.StringIO(cfg_str),yaml.SafeLoader)sys=new_realsense_camera_system_from_config(RealsenseSystemModel,cfg['realsense'],None)print(sys.cameras)cam=sys.cameras[0]cam.open()cam.start()mtx=np.array(cam.intrinsics_matrix)whileTrue:color_image,depth_image,ts,sys_ts,frame_counter=cam.get_frames()cv2.imshow("frame",color_image)key=cv2.waitKey(1)ifkey==27:print('esc break...')cv2.destroyAllWindows()breakmain()Command Line UsageTo Create and persist record configuration:python-mmarkit_rs_recorderconfigureTo launch a remote record station that supports REST APIpython-mmarkit_rs_recorderserveTo launch a remote record station that is calibratedpython-mmarkit_rs_recorderserve--calibration=path/to/calibrationNote: The calibration.json file is expected to be in thepath/to/calibrationdirectory. The calibration file can be generated by runningpython -m realsense_recorder calibrateTo run calibrationpython-mmarkit_rs_recordercalibrateTo run post-processingpython-mmarkit_rs_recorderpost_process--base_dirpath/to/recording
Package: markit-tcpbroker
IMU InterfaceThis repo contains code to interact withrfimu-esp-node.Get Startedgitclonehttps://github.com/mvig-robotflow/rfimu-interface.git
pythonsetup.pyinstallOr from PYPI:python-mpipinstallmarkit-tcpbrokerDocumentationFor documentation, please refer torfimu-interface/docs.
Package: markji-wordcard-assistant
Markji的单词听写卡生成器目录背景安装用法开源协议背景墨墨背单词很好，但更适合记住词义；Markji很好，但是不能一键生成单词卡片，尤其是批量导入单词的时候无法一键生成录音；更要命的是，自带的tts实在有些差劲……为了解决以上痛点，特在挣扎屠鸭与找实习的艰苦生活中，开发了这款简单的小插件安装用法开源协议MIT© LiYiMing
Package: markkk
Python Package: markkkConvenient Python utilities for personal usageInstallpipinstall--upgrademarkkkUsageSub-module:loggerThis is a pre-configured logger using python's built-inloggingmodule and a formattercolorlog. It is easy to use, simplest setup on earth, suitable for personal day-to-day debugging, personal small-scale projects.The logger has three logging handlers:log to filelogs/debug.logwhich capturesalllogs with timestamp.log to filelogs/error.logwhich captureserror & criticallogs with timestamp.log to consolewith colorsfor different logging levels.Note:A new folder namedlogswill be created at the current working directory if not already exist.debug.log&error.logfile will also be created if not already present underlogs.Example:frommarkkk.loggerimportloggerlogger.debug("This is a debug message")logger.info("This is a message for your information")logger.warning("This is a warning message")logger.error("This is an error message")logger.critical("This is a critical error message")Sub-module:timetimeit(this is a decorator for your function)timeitprint(this is a decorator for your function)Example:frommarkkk.timeimporttimeitprint@timeitprintdeftictok():a=1000000foriinrange(10000000):a-=1b=areturnif__name__=="__main__":tictok()Console output:====== Func 'tictok' finished in 0.3280000000 secs ======Sub-module:filesafe_renamesafe_copysafe_moveSub-module:encodingis_asciicheck_non_ascii_indexis_ascii_only_filecheck_file_by_lineensure_no_zh_punctuationreplace_punc_for_fileExample:frommarkkk.encodingimportreplace_punc_for_file,is_asciireplace_punc_for_file("test.txt")is_ascii("。")# this returns falseDevelopmentInstall package using local versionclone this repogitclonehttps://github.com/MarkHershey/python-utils.gitgo to project rootcdmarkkkcreate virtual env for this projectpython3-mvenvvenvsourcevenv/bin/activate
pipinstall--upgradepipsetuptoolswheel
pipinstall-rrequirements.txtinstall this package in editable modepipinstall-e.[dev]Run Unittestat project roottoxLicenseMIT License
Package: markline
Marklineconverts HTML to Markdown and supports transformation methods borrowed from data engineering concepts. The goal of this project is to provide a simple API that renders HTML to Markdown for note management applications such asLogseq.Getting StartedInstallationMarkline is available on PyPI:python-mpipinstallmarklineDependenciesMarkdown rendering is performed withPandocso thepandoccommand-line tool needs to be available in your environment. You may followthe official installation instructionswhich are OS-dependent, or if you are acondauser, with the following command:condainstall-cconda-forgepandocBeautiful Soup supports the HTML parser included in Python's standard library, but it also supports a number of third-party Python parsers. One is thelxml parserwhich provides a good balance between performance and accuracy. More information about the parsers can be found in theBeautiful Soup documentation.For conda users, you can install the lxml package with the following command:condainstall-cconda-forgelxml
Package: marklink
marklinkmarklinkreplaces URLs found in text with a markup hyperlink with the contents
of the<title>tag in the HTML of the URL. It works like a typicalUnix
filter:echo"I like https://github.com?something=what"|marklink--formatmd--remove-query

Ilike[GitHub:Wheretheworldbuildssoftware·GitHub](https://github.com)Its goal is to increase the ergonomics of writing, thus leading you to write more. You get to experience the joy of having robots helping you while writing.Inspired byTitler by Brett Terpstrafor Mac OS andorg-cliplinkfor Emacs.The ultimate goal of this project is to be cross platform and support many formats, workflows and editors.InstallationWithpip:pipinstall--usergit+https://github.com/staticaland/marklink.git#egg=marklinkWithpipx:pipxinstall'git+https://github.com/staticaland/marklink.git#egg=marklink'Editor integrationVimnnoremap <leader>l :%!marklink<CR>
vnoremap <leader>l :!marklink<CR>This is reminiscent of theVim KōanMaster Wq and the Markdown
acolyte.EmacsI usereformatter.el(seemy reformatter.el config here).You can also use some variant ofshell-command-on-region:(defunmarklink-org()(interactive*)(save-excursion(shell-command-on-region(mark)(point)"marklink --format org"(buffer-name)t)))You may have to set the following if you like an exotic$SHELL:(setqexplicit-shell-file-name"/bin/bash")(setqshell-file-nameexplicit-shell-file-name)Atom, Sublime Text, VS Code et al.Pull requests most welcome.You may want to considerPaste URL at the Visual Studio
Marketplace.Usageusage:marklink[-h][-f{md,org,html}][-q][files]Argsthatstartwith'--'(eg.-f)canalsobesetinaconfigfile(~/.marklink).Configfilesyntaxallows:key=value,flag=true,stuff=[a,b,c](fordetails,seesyntaxathttps://goo.gl/R74nmi).Ifanargisspecifiedinmorethanoneplace,thencommandlinevaluesoverrideconfigfilevalueswhich
overridedefaults.

positionalarguments:files

optionalarguments:-h,--helpshowthishelpmessageandexit-f{md,org,html},--format{md,org,html}whichformat-q,--remove-queryremovequeryparametersOther alternativesUse a bookmarklet (source):javascript:(function(){prompt('','[['+location.href+']['+document.title.replace(/ [-,|].*$/,'')+']]')})()Some useful links:Using external filter commands to reformat HTMLFormatting text with parGitHub - ferrine/md-img-paste.vim: paste image to markdownVim Tip: Paste Markdown Link with Automatic Title Fetching | Ben CongdonGitHub - alphapapa/org-web-tools: View, capture, and archive Web pages in Org-modePlansAdd to Python Package Index.Make it faster. Do concurrent HTTP requests somehow.Ignore files such as images.Rewrite to golang to avoid dependencies for end users.Set another user agent.Change the name.org-mode gif.
Package: marklogic-python-client
MarkLogic Python ClientThePythonrequestslibraryallows Python developers to easily create
applications that communicate with theMarkLogic REST API. The
MarkLogic Python Client further simplifies usage of therequestslibrary by supporting common authentication
strategies with MarkLogic and improving the user experience with some of the more common endpoints in the MarkLogic
REST API.The client requires Python 3.9 or higher. It isavailable at PyPIand can beinstalled via pip:pip install marklogic-python-clientThe client's sole dependency with MarkLogic is on the MarkLogic REST API. MarkLogic 10 and higher is supported, and
earlier versions of MarkLogic that support the MarkLogic REST API are likely to work as well though are not tested.An instance of the client can be easily created and then used in the exact same way as therequestsAPI:from marklogic import Client
client = Client("http://localhost:8000", digest=("python-user", "pyth0n"))
response = client.get("/v1/search", params={"q": "marklogic and python", "pageLength": 100})Please seethe user guideto start using the client.
Package: markmeld
Markmeld is a markdown melder. It merges yaml and markdown content using jinja2 templates. You configure markmeld with your content in computer-readable .md and .yaml files, and markmeld helps produce polished, publication-ready versions of your content, such as a PDF or HTML format. Markmeld is useful for many types of output document, including resumes, biosketches, manuscripts, proposals, books, and more.Read the complete documentation atmarkmeld.databio.org.TestingTest withpytestYou can also just build the demos.cd demo
mm default
Package: markmini
MarkminiPython bindings for markmini packageUsage:importmarkminimd=markmini.Markmini()usernames=["iverks","testy"]user_ids=["1","2"]links=[f"/users/{id}"foridinuser_ids]fullnames=["Iver Småge","Testy McTestFace"]md.add_users(usernames,user_ids,links,fullnames)inp:str="""# Header- List- more listMore _markdown_@testy is my favorite user"""response=md.compile(inp)
Package: markmodule
markmoduleImport python from markdown files.UsageIn a file namedhello_module.mddefine a function. I'm escaping the fence, use a real three-tick fence.Here is a function

``(`)python
def hello() -> str:
    return "Hello"
``(`)Generate a type stub and import using the usual syntax.generate_side_by_side_pyiwill write a.pyifile to the file system and enable IDEs type hinting to work.importsysimportmarkmodulemarkmodule.generate_side_by_side_pyi("hello_module")sys.meta_path.append(markmodule.MdFinder())importhello_moduleprint(hello_module.hello())Import with path to file.importmarkmodulemarkmodule.import_md("hello_module.md")importhello_moduleprint(hello_module.hello())Markdown is a hammer, everything is a nailYou can use markdown:as a place to put module code,markmodule, this libraryThe do-everything-with-markdown ecosystem is surprisingly robust.as a Makefile alternative,maskas a place to put scripts, eg python'smarkdown-exec, or ruby'smarkdown_execas a place to put unit tests,pytest-markdown-docs,pytest-codeblocks, andpytest-markdownas a string template,proof-of-concept gistChange Log0.1.0 - Basic idea.0.2.0 - Updates to readme0.3.0 - Generates pyi and you can useimportsyntaxDocumentationContributingTODORelated StackOverflow Links
Package: markmoji
Markmoji extends thebasic markdown syntaxusing an easy to understand and quickly readable emoji-based syntax, allowing you to create custom HTML elements from just an emoji, a label and a URL.InstallingMarkmoji is on PyPi! To install, just copy the following into a terminal:pip install markmojiClick herefor more instructions on what installing from pip means.The SyntaxSimilar to how basic markdown indicates an image using an exclamation point before a link (![name](url)), markmoji syntax uses an emoji beore a link (🐦[name](url)), with the emoji dictating the type of HTML element created.Python functionTo parse markmoji syntax, just use the functionmarkmoji.markmoji()with your markdown text as the input. It will return the same text but with any markmoji syntax returned as HTML objects.Integration withpython-markdownIncluded in the package are the necessary classes to use markmoji as an extension tomarkdown.Markdown. Here's an example of how you might do it:import markmoji
import markdown as md

# Define some dummy content
content = "🏐[label1](link1)\n🏐[label2](link2)/n🐦[label3](link3)"
# Create markdown processor with markmoji
processor = md.Markdown(extensions=[markmoji.Markmoji()])
# Do actual markdown conversion
content = processor.convert(content)ContributingThis is all designed with open source contribution in mind! To add your own handlers, check out the filehandlers/handlers.pyto see the existing implementations and some instructions on how to add your own. It's not all that hard to do, I promise!
Package: markmywords
This library is nothing more and nothing less than a simple Markov chain text generator.>>> from markmywords import Markov
>>> with open('declaration.txt', 'r') as f:
...     text = f.read()
>>> m = Markov(text, degree=2)
>>> m.generate(max_words=13)
"petitioned for redress in the meantime exposed to all the dangers of invasion"
Package: marknote
MarkNoteA simple note taking API for Django that supports creating notes and a folder structure. Built for the purpose of
learning how to use the Django REST Framework to build a CRUD API.FeaturesNotes and folder structurePer item ownersIntegrated Django permissionsPlanned FeaturesRevision historyBearer token supportNote sharingOwnership transferInstallationInstall with pip.$ pip install marknoteModify yourINSTALLED_APPSin settings.py.INSTALLED_APPS = [
    'rest_framework',
    'rest_framework.authtoken',
    'marknote',
]Modify youurlpatternsin urls.py.from django.urls import include, re_path

urlpatterns = [
    re_path(r'^marknote/', include(('marknote.urls', 'marknote'), namespace='marknote'))
]Run migrations.$ python manage.py migrate5. In the Django admin panel, generate a new token for the desired user. If they are not a superuser then they will
need the MarkNote permissions added to their user.The request expects anAuthorizationheader with the value ofToken xxxwherexxxis your token. This
will be changed in the future to add Bearer token support.EndpointsDocumentation can be foundhere. Refer to thedocsfolder for the OpenAPI specification file.There are four different endpoints for the API. Themarknoteportion of the URI can be mapped using the Django
urls.py file. It is setup as shown in the sample project./marknote/noteThe create and list endpoint used to create and list all notes./marknote/note/{id}The retrieve, update, and destroy endpoint used to access individual notes./marknote/folderThe create and list endpoint used to create and list all folders./marknote/folder/{id}The retrieve, update, and destroy endpoint used to access individual folders.TestsTo run the unit tests, simply use the Django test command with Pipenv.$ pipenv install
$ pipenv run python manage.py test
Package: marko
𝓜𝓪𝓻𝓴𝓸A markdown parser with high extensibility.Marko is a pure Python markdown parser that adheres to the specifications ofCommonMark's spec v0.30. It has been designed with high extensibility in mind, as detailed in theExtensionssection.Marko requires Python 3.7 or higher.Why MarkoOf all the Python markdown parsers available, a common issue is the difficulty for users to add their own features. Additionally, bothPython-Markdownandmistunedo not comply with CommonMark specifications. This has prompted me to develop a new markdown parser.Marko's compliance with the complex CommonMark specification can impact its performance. However, using a parser that does not adhere to this spec may result in unexpected rendering outcomes. According to benchmark results, Marko is three times slower than Python-Markdown but slightly faster than Commonmark-py and significantly slower than mistune. If prioritizing performance over spec compliance is crucial for you, it would be best to opt for another parser.Use MarkoThe installation is very simple:$ pip install markoAnd to use it:importmarkoprint(marko.convert(text))Marko also provides a simple CLI, for example, to render a document and output to a html file:$ cat my_article.md | marko > my_article.htmlExtensionsIt is super easy to use an extension:frommarkoimportMarkdownfrommarko.ext.footnoteimportmake_extension# Add footnote extensionmarkdown=Markdown(extensions=[make_extension()])# Or you can just:markdown=Markdown(extensions=['footnote'])# Alternatively you can register an extension latermarkdown.use(make_extension())An example of using an extension with the command-line version of Marko:$ cat this_has_footnote.txt | marko -e footnote > hi_world.htmlMarko is shipped with 4 extensions:'footnote', 'toc' 'pangu', 'codehilite'.
They are not included in CommonMark's spec but are common in other markdown parsers.Marko also provides a Github flavored markdown parser which can be found atmarko.ext.gfm.gfm.Please refer toExtend Markoabout how to
write your own extension.LicenseMarko is released underMIT LicenseChange Log