Saravanan666/pypi-org huggingface dataset:
Package: render-html
render_htmlrender_htmlis a Python library that provides a simple way to render HTML content in a web browser.
It allows you to open HTML content directly from a string or save it to a file and open it from the file.
You can also specify the name of a browser to use a non-default browser. Please refer towebbrowser documentationfor the complete list of predefined browsers.
This library is especially useful for quickly visualizing and testing HTML content in a web browser environment.InstallationYou can installrender_htmlusing pip:pip install render-htmlNOTE: the library requires Python 3.10 or newerUsagefromrender_htmlimportrender_in_browserasrenimportrequests# Making a request with the requests libraryresponse=requests.get('https://example.com')# Rendering the HTML response in the default browserhtml_content=response.textren(html_content)Documentationrender_in_browser(html_string, save_path=None, browser=None)Render the HTML content in a web browser.html_string(str): The HTML content as a string.save_path(str, optional): The path to save the HTML content as a file.
If provided, the HTML content will be saved to the specified file and opened from it.
If not provided or set toNone, a temporary file will be created in the operating
system's default temporary directory. The temporary file will be removed once the rendering
is complete.browser(str, optional): The name of the web browser to use (i.e., "chrome", "safari").
If provided, the HTML content will be opened using the specified browser.
If not provided or set to None, the default browser will be used.LicenseThis project is licensed under the MIT License. See theLICENSEfile for details.
Package: renderj2
pyrenderjinja2を使った簡単なテンプレートレンダー
パッケージングの練習に利用$renderj2--helpUsage: renderj2 [OPTIONS] TEMPLATE_FILERendre Jinja2 tempalteOptions:-v, --varsfile PATH  vars file path for jinja2-o, --output PATH    output file--loglevel LVL       Either CRITICAL, ERROR, WARNING, INFO or DEBUG[default: INFO]-h, --help           Show this message and exit.-V, --version        Show the version and exit.使い方#renderj2--varsvars.ymltemplate.j2上記のように実行すると、Jinja2の形式で書かれたtempalte.j2をvars.ymlの変数を用いてレンダリングします。レンダリング結果はデフォルトで標準出力に出力されます。--outputオプションを指定することで指定のファイルに出力することも可能です。Jinja2公式ドキュメント開発Requirepython3Poetryテスト$poetrypoetestビルド$poetrybuild
Package: renderlab
\n# Gymnasium Rendering for ColaboratoryFor the archived repository for use alongside OpenAI Gym, seecolabgymrenderInstallationpipinstallrenderlabExampleimportgymnasiumasgymimportrenderlabasrlenv=gym.make("CartPole-v1",render_mode="rgb_array")env=rl.RenderFrame(env,"./output")observation,info=env.reset()whileTrue:action=env.action_space.sample()observation,reward,terminated,truncated,info=env.step(action)ifterminatedortruncated:breakenv.play()
Package: rendermd
Table of ContentsrendermeUsageExamples:rendermeRender markdown templates.Usageusage: rendermd [-h] [-p PATTERNS] [--no-recursive]

Render markdown templates. This command recursively search the current
directly and find all markdown files by matching given patterns (default to
"**/README.md").

optional arguments:
  -h, --help            show this help message and exit
  -p PATTERNS, --pattern PATTERNS
                        Comma separated list of markdown files to populate
  --no-recursive        Do not search for files recursivelyExamples:[//]:# (start:toc)and[//]:# (end)will produce table of contents.[//]:# (start:shellecho abc)and[//]# (end)will produceabc(the output of the shell commandecho abc.More examples can be found intest_toc_generator.pyandtest_shell_generator.py
Package: render-me-harder
Stupidly simple API for rendering 3D models to imagesFree software: MIT licenseDocumentation: ~~https://render-me-harder.readthedocs.io.~~It exports exactly one function:def render_frames(mesh: trimesh.Trimesh,
                  w: int,
                  h: int,
                  num_frames: int) -> Sequence[Image.Image]Featureseasy to useCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.
Package: render-pdf
Render PDFrender_pdf is python script based on weasyprint that converts any source code to pdf file.ShowcaseSingle Code BaseTwo Source Codes Side By SideFeaturesThis script has the following features.syntax highlighting for any source code using pygments.line number for the source code.rendering any online materials or source code by downloading it.InstallationYou can install this package from the pypi index using the following commands.For Linux Based OSpipinstallrender_pdfFor windowspython-mpipinstallrender_pdfUsageThis script can be used in variety of ways. The following examples and the results are stored in the example directory
in this repository.rendering single source code from local directoryrender./example/render.py-o./example/render.pdfrendering multiple source codes from local directoryrender./setup.py./example/render.py-o./example/render.pdfrendering two source codes side by side for comparison.render-y./setup.py./example/render.py-o./example/render.pdfrendering source code by downloading from the internet.To render thesetup.pyfile
from this repository by downloading it from github server.
Prenderhttps://raw.githubusercontent.com/endalk200/render_pdf/main/setup.py-osetup.pdfSource CodeYou can see the source code by cloning the repository as follows.gitclonehttps://github.com/endalk200/render_pdf.git
Package: render_pipeline
Deferred Rendering Pipeline with Physically Based Shading for thePanda3D Game EngineCore FeaturesPhysically Based ShadingDeferred RenderingAdvanced Post-Processing Effects and FrameworkTime of Day SystemPlugin SystemGetting Started / WikiYou should checkout the wiki if you want to find out more about the pipeline:Render Pipeline wikiThere is also a page about getting started there:Getting startedRequirementsOpenGL 4.3 capable GPU (and drivers)Panda3DDevelopment Build1 GB Graphics Memory recommended(Can run with less, depends on enabled plugins)Notice: It seems that the drivers for Intel HD Graphics on Linux are not
capable of all 4.3 features, so the pipeline is not able to run there!Reporting Bugs / ContributingIf you find bugs, or find information missing in the wiki, or want to contribute,
you can find me most of the time in the#panda3dchannel on freenode.If I shouldn’t be there, feel free to contact me per E-Mail:tobias.springer1@googlemail.comScreenshotsYou can find many screenshots in my sharedDropbox folder
Package: render-server-ext
Render Server ExtJupyter Server Extension serves files and provides a static build of Polus Render.RequirementsJupyter Server 2.7.0Adding a static build of Polus RenderRemove all existing files in~/render-server-ext/static/render-ui/.Runnpx nx build render-uiin the root of your Polus Render folderTransfer generated files from~/Polus Render/dist/apps/render-ui/into~/render-server-ext/static/render-ui/.API Endpoints/render/default/(.*): Help on usage of extension/static/render/render-ui/index.html: Serves static build of Polus Render./render/file/(.+): Serves files at a specfied path. Does not serve directories.ExamplesFor the following examples, JupyterLab is ran locally athttps://localhost:7832/labRender-UIURL:http://localhost:7832/static/render/render-ui/index.html?imageUrl=http://localhost:7832/render/file//home/jovyan/work/images/4by4large_intensity_image.ome.tifURL:http://localhost:7832/static/render/render-ui/index.html?imageUrl=http://localhost:7832/render/file//home/jovyan/work/images/x00_y01_p02_c1.ome.tif&overlayUrl=http://localhost:7832/render/file//home/jovyan/work/overlays/combined.jsonImageURL:http://localhost:7832/render/file/home/jovyan/work/samples/butterfly.jpegMarkdownURL:http://localhost:7832/render/file/home/jovyan/work/samples/README.md
Package: renderspec
renderspecrenderspec is a tool to convert a .spec.j2 Jinja2 template to
a rpm .spec file which is usable for different distributions
and follow their policies and processes.Documentation for renderspec can be found athttps://docs.openstack.org/renderspec/latest/For more information about the OpenStack rpm packaging initiative, please
follow the link to the wiki page:https://wiki.openstack.org/wiki/Rpm-packagingIn the unfortunate event that bugs are discovered, they should
be reported to the appropriate bug tracker. If you obtained
the software from a 3rd party operating system vendor, it is
often wise to use their own bug tracker for reporting problems.
In all other cases use the master OpenStack bug tracker,
available at:https://bugs.launchpad.net/renderspecDevelopers wishing to work on renderspec should always base
their work on the latest code, available from the master GIT
repository at:https://opendev.org/openstack/renderspecDevelopers should also join the discussion on the mailing list,
at:http://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-discussor join the IRC channel onhttps://webchat.oftc.net/?channels=openstack-rpm-packaging
Package: render-web
DisplayWebPage-abidghiasA small package for rendering HTML pages in jupyter notebooksHow to use -install the latest packagein jupyter notebook -!pip install render_webin command prompt -pipinstallrender_webNow run below snippets of code in your jupyter-notebooks cell to render your website as an IFrame-default use case -fromdisplayWebPage.renderimportrender_siteURL="use your https URL here"render_site(URL)custom use case -fromdisplayWebPage.renderimportrender_siteURL="use your https URL here"render_site(URL,width="100%",height=600)
Package: renderwith
Render html stright from python without involving another language or ‘engine’.
Sometimes, you just don’t want to involve these constructs just to generate some html.Note: this renderer generates ugly, invalid html.
It’s only good for quick’n’dirty personal reporting.
For externally visible documents, use one of the many production worthy templating engines.### Usagewith r.Table():for k,v in data.items():with r.Tr():with r.Td():r.text(k)with r.Td():r.text(v)
Package: rendseq
rendseqA python package to facilitate your End-Enriched RNA Sequencing (Rend)
data analysis dreams!Overview•Installation•ContributeOverviewTo learn more about RendSeq - eg what it is, what types of questions it can help you solve and how you can generate your own RendSeq data set please visit theLi lab website, or check out
theLi Lab's 2018 Cell Paperby Lalanne et al.InstallationTo get started - install our package via pippip install rendseqTo learn more about how to use this package -please check out ourdocumentation page.ContributeWe welcome collaborators on this project!  To get started check out our instructions for how to get started as a contributor.You can also direct all correspondence about this project to our dedicated mailing list: rendseqatmitdotedu
Package: rene
reneIn what followspythonis an alias forpython3.8orpypy3.8or any later version (python3.9,pypy3.9and so on).InstallationInstall the latestpip&setuptoolspackages versionspython-mpipinstall--upgradepipsetuptoolsUserDownload and install the latest stable version fromPyPIrepositorypython-mpipinstall--upgradereneDeveloperDownload the latest version fromGitHubrepositorygitclonehttps://github.com/lycantropos/rene.gitcdreneInstallpythonsetup.pyinstallUsage>>>fromrene.exactimport(Contour,...Empty,...Point,...Polygon)>>>square=Polygon(Contour([Point(0,0),Point(4,0),Point(4,4),...Point(0,4)]),...[])>>>square==squareTrue>>>square&square==squareTrue>>>square|square==squareTrue>>>square-square==Empty()True>>>square^square==Empty()True>>>len(square.border.vertices)==4True>>>len(square.holes)==0True>>>fromrene.exactimportConstrainedDelaunayTriangulation>>>(ConstrainedDelaunayTriangulation.from_polygon(square).triangles...==[Contour([Point(0,0),Point(4,0),Point(0,4)]),...Contour([Point(0,4),Point(4,0),Point(4,4)])])True>>>fromreneimportLocation>>>fromrene.exactimportTrapezoidation>>>trapezoidation=Trapezoidation.from_polygon(square)>>>all(vertexintrapezoidationforvertexinsquare.border.vertices)True>>>all(trapezoidation.locate(vertex)isLocation.BOUNDARY...forvertexinsquare.border.vertices)TrueDevelopmentBumping versionPreparationInstallbump2version.Pre-releaseChoose which version number category to bump followingsemver
specification.Test bumping versionbump2version--dry-run--verbose$CATEGORYwhere$CATEGORYis the target version number category name, possible
values arepatch/minor/major.Bump versionbump2version--verbose$CATEGORYThis will set version tomajor.minor.patch-alpha.ReleaseTest bumping versionbump2version--dry-run--verbosereleaseBump versionbump2version--verbosereleaseThis will set version tomajor.minor.patch.Running testsInstall dependenciespython-mpipinstall-rrequirements-tests.txtPlainpytestInsideDockercontainer:withCPythondocker-compose--filedocker-compose.cpython.ymlupwithPyPydocker-compose--filedocker-compose.pypy.ymlupBashscript:withCPython./run-tests.shor./run-tests.shcpythonwithPyPy./run-tests.shpypyPowerShellscript:withCPython.\run-tests.ps1or.\run-tests.ps1cpythonwithPyPy.\run-tests.ps1pypy
Package: renfepy
RenfepyPython library to search for trains on renfe.esInstallationpip3 install renfepyIf chromium is not installed Renfepy will install a it. In case of error it is recommended to install it.UsageNormal executionrenfepy <origin> <destination> <going_date>Parameters-g, --gui: Show browser-r, --return: Set return date-v, --verbose: Show more information
Package: renfe-time
Renfe Timerenfe-time scrapes and parses train schedules for RENFE trains in Spain. At the moment, only Asturias is supportedUsagefromrenfe_timeimportRenfeTimeasrtfromdatetimeimportdatetimeimportpprinttable=rt.getTimeTable(rt.getStationCode("Gijón"),rt.getStationCode("Oviedo"),datetime.now(),"00","26",False)pprint.pprint(table,indent=4)
Package: renga
A Python library for theRenga collaborative data science platform. It lets you perform any action withrengacommand or from withing Python apps - create projects, manage
buckets, track files, run containers, etc.NOTE:renga-pythonis the python library for Renga that provides an SDK and a
command-line interface (CLI). Itdoes notstart the Renga platform itself -
for that, refer to the Renga docs onrunning the platform.This is an experimental developer preview release.InstallationThe latest release is available on PyPI and can be installed usingpip:$ pip install rengaThe development version can be installed directly from the Git repository:$ pip install -e git+https://github.com/SwissDataScienceCenter/renga-python.git#egg=rengaUsageStart by login and configuring your shell:$ renga login http://localhostConnect to Renga platform from Python using the stored configuration:import renga
client = renga.from_config()The client can be also instantiated from environment variables.$ eval "$(renga env)"import renga
client = renga.from_env()Further documentation is available onhttps://renga-python.readthedocs.io/ChangesVersion 0.1.0 (released TBD)Initial public release.
Package: renga-sphinx-theme
A Sphinx theme for Renga documentation based on beatifulAlabaster theme.InstallationAddrenga-sphinx-themetosetup.pyorrequirements.txtused
for builing your documentation.Sethtml_themeto'renga'indocs/conf.py.Configure at leastdescriptionandgithub_repoinhtml_theme_options.Enjoy your beatiful Renga documentation style.ChangesVersion 0.1.0 (released TBD)Initial public release.
Package: renge
RENGEREgulatory Network inference using GEne perturbation dataRENGE infers gene regulatory networks (GRNs) from time-series single-cell CRISPR analysis data.Installpip install rengerenge will be installed within a few minutes.UsageNetwork inferencereg = Renge()
A = reg.estimate_hyperparams_and_fit(X, E)
A_qval = reg.calc_qval()inputE : C x G pandas DataFrame of expression data. The expression data should be normalized and log-transformed.X : C x (G+1) pandas DataFrame. The rows of X[:, :G] are one-hot vectors indicating the knocked out gene in each cell. The last column of X indicates the sampling time of each cell.Here,C : The number of cells.G : The number of genes included in the GRN.outputA : G x G pandas DataFrame. (i, j) element of A is a regulatory coefficient from gene j to gene i.A_qval : G x G pandas DataFrame. (i, j) element of A_qval is a q-value for (i, j) element of A.Prediction of expression changes after gene knockoutreg = Renge()
reg.estimate_hyperparams_and_fit(X_train, E_train)   # train the model
E_pred = reg.predict(X_pred)inputE_train : C x G pandas DataFrame of expression data. The expression data should be normalized and log-transformed.X_train : C x (G+1) pandas DataFrame. The rows of X_train[:, :G] are one-hot vectors indicating the knocked out gene in each cell. The last column of X_train indicates the sampling time of each cell.X_pred : T x (G+1) pandas DataFrame. The rows of X[:, :G] are real-valued vectors indicating expression change of target gene of perturbation. For knockout or knockdown, values should be negative. The last column of X_pred indicates the time at which expressions are predictedHere,T : The number of timepoints where expressions are predicted.outputE_pred : T x G pandas DataFrame of predicted expression.ReferenceInference of gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations, Masato Ishikawa, Seiichi Sugino, Yoshie Masuda, Yusuke Tarumoto, Yusuke Seto, Nobuko Taniyama, Fumi Wagai, Yuhei Yamauchi, Yasuhiro Kojima, Hisanori Kiryu, Kosuke Yusa, Mototsugu Eiraku, Atsushi Mochizuki, bioRxiv 2023.08.23.554254; doi:https://doi.org/10.1101/2023.08.23.554254
Package: rengine
About this packageCollaborative Filtering is a method that is often used as a recommendation engine. Many industries have used this algorithm to recommend their products, this library can use cosine similarity or even centered cosine similarity.DepedenciesPython >= 3numpyHow to usecos_similarity(var1, var2, centered)Parametersvar1: iterable, array, np.arrayThe single arrray value you want to comparevar2: iterable, array, np.arrayThe multi arrray values, you can convert from dataframe or table on your databasecentered: boolBy default it will give true, if true you will use centered cosine similarityExample caseWe'll try to figuring out this single matrix value, on the multi array[4,  0,  0,  5,  1,  0,  0]The example dataset that we had[[5,  5,  4,  0,  0,  0,  0],[0,  0,  0,  2,  4,  5,  0],[0,  3,  0,  0,  0,  0,  3]]Example of codefrom rengine.method import CollaborativeFiltering
import numpy as np
clf =  CollaborativeFiltering()
print(clf.cos_similarity(np.array([5,  4,  0,  0]),  [[1,  0,  3,  2],  [2,  1,  1,  0],  [4,  5,  0,  1]]))Example of output[-0.5, 0.866, -0.24] #row 2 in multi array data has more similarityAnother of output[0.092, -0.559, nan] #nan means there's a number divided by zero
Package: renify
RenifyA simple cli tool for batch renaming files and folders, written in Rust.🚀 written in Rust, fast.🎉 Available on PyPi, install viapip.🧩WindowsLinuxMacOSsupport.📔filesandfolderssupport.🎁7renaming methods provided.⚠️symlinksareunsupportedfor now!Installationpip install renifyUsageRenaming - 重命名For those new to Renify, consider using the following code forinteractive mode:renify-i<FileorFolderPath>Or you can use:renify-i<FileorFolderPath>--targetfile--methodznum--nbits5--recursivefalse--start1-yRolling back - 退回上一次操作You can revert to the previous state of the modifications by using:renify-i.--rollHelp & optionsYou can get help from:renify--helpMethods providedrandom:Sample a u8, uniformly distributed over ASCII letters and numbers: a-z, A-Z and 0-9.9AFoh, wGRLC, knj9y, ...uuid:Uuid4.de2662a9-fb02-4686-b556-0aca36c0e087time:Local time now.2023-03-04-22-26-42-222655555num:Numbers start from--start(1 by default).1, 2, 3, ...znum:Numbers with left zero padding start from--start(1 by default).001, 002, 003, ...prefix:Add a prefix string to the file stem, along with a delimiter.X.jpg => [--with][--delimiter]X.jpgappend:Append a delimiter and a string after the file stem.X.jpg => X[--delimiter][--with].jpgNote thatRenify will set--indiscriminate falseto make sure that the file stems stay consistent. This means that if you have files with the same stems in the same folder, they'll still look the same even after you rename them. Certainly, you can use--indiscriminateto treat each file as an independent entity without considering its relationship with other files.
Package: renity
Renity Protocol BufferRenityis anOpen SourcePython Object-Binary-Mapper(OBM)Binary Protocol Bufferthat provides a way to rapidly define the de/serialization format of packets.Installation 🔧You can installRenityviapipfromPyPI:$pipinstallrenity✨ FeaturesImproved throughput & reduced latency by reducing the data size transferred over the networkSerialization & DeserializationEfficiency Compared to other formats like JSON & XMLStrict schema definition(s) for messagesBackward Compatible Schema(s)Development effort is reduced with an easy-to-use interface that creates aSerialization Formatfrom an Object Model.Example 📏importrequestsfromrentityimportMessage,StringField,IntField# Define Message Schema>>>classCustomMessage(Message):...hello=StringField(default="World")...sentence=ListField(StringField(required=True),IntField())...# Create a message>>>example=CustomMessage({"sentence":["Number of Apples:",2]})# Deserialized Message>>>example.message{"type":"CustomMessage","hello":"World","sentence":["Number of Apples:",2]}# Serialized Message>>>example.bytesb"\x97\x88\rCustomMessage\x03\x92\x88\x05World\x8a\x88\x16\x92\x88\x11Number of Apples:\x88\x02"# Post Serialized Message>>>requests.post(url='http://example.com/message',...data=example.bytes,...headers={'Content-Type':'application/octet-stream'})...# GET Example>>>res=requests.get('http://example.com/message')>>>response=CustomMessage(res.content)>>>response.message{"type":"CustomMessage","hello":"World","sentence":["Number of Apples:",2]}🔬 TestsIt is recommended to set up Python 3.8, 3.9, 3.10 usingpyenv.# Install Poetry$pipinstallpoetry# Install Nox$pipinstallnox# Install nox-poetry$pipinstallnox-poetry# Install dependencies$poetryinstall# Run Nox tests sessions$nox--sessionContributing 🧠We welcome contributions of all types: from fixing typos to bug fixes to new features. For further questions about any of the below, please refer to theContributor Guide.Reach out!
We encourage all contributors to reach out for work reference's. We're here to help and are available for any inquiries regarding our contributors!🎓 Interactive PracticeKeep practicing so that your coding skills don't get rusty.UsagePlease see theCommand-line Referencefor details.LicenseDistributed under the terms of theApache license,Renityis free and open source software.IssuesIf you encounter any problems,
pleasefile an issuealong with a detailed description.Credits