Saravanan666/pypi-org huggingface dataset:
Package: segno-ui
Segno UIThis program is a graphical user interface for thesegno librarythat allows to create QR codes.While segno has a nice CLI interface, a graphical user interface fills the gap for quick usage.The main goal of Segno UI is to provide a QRCode generator that doesn't need any online tools, which guarantees that the data you're encoding doesn't leave your computer.
Using online generators needs you to put your trust in developper behind the tool, hoping that your data won't be stored or reselled.Quick usageYou may find precompiled binaries for Windows on therelease page.We don't provide precompiled binaries for Linux or MacOS, as those generally come with a Python interpreter already.Install with:python3 -m pip install segno_uiUse with:segno_ui.pyDepending on your system, you might need to install tkinter. Install withSystemcommandRHEL 8+, Fedora and clonesdnf install python3-tkinterRHEL and earlier Fedora and clonesyum install tkinterDebian, Ubuntu, Mint basedsudo apt-get install python-tkArch basedsudo pacman -S tkWindowsSelect 'tk' when installing PythonGraphical user interfaceTechnical stuffBasically, Segno UI is a wrapper using the excellentPySimpleGUItoolkit allowing to create multiplatform GUI interfaces easily.It should be quite future proof since all properties that go into the QR codes are dynamically generated by reading the qrcode maker function signatures.
Hence, if segno adds a new parameter, it will automatically exist in Segno UI.WhyI've built this tool to quickly create / store settings for some vCards / MeCards without going online.All help is welcome ;)
Package: sego
A web and micro-service framework for data analystsAbout SegoSego is a suite of tools for the "last mile" of ML and analytics projects. Sego is built to assist data scientists, analysts and engineers,productionize
ML workloads with ease. Sego is primarily used for:Model servingMulti-stage data processingDashboardsMetrics and alertingDatabase schema managementSego can also be used to build:Rest APIsMicro-service topologiesNormal MVC webappsSego provides an opinionated way to build production ML and analytics systems, but flexible enough to fit into different applications. It creates a
rapid development environment.Key ComponentsWeb FrameworkMicro-service frameworkDistributed tasksNative integration toConfofor all configuration management tasks,which also allows the building of complex topologies.Name etymologySego is aSepediword which refers to a flask made out ofCalabash gourd, appropriately named as a nod to
the elegantly builtFlask frameworkwhichSegoextendsGetting startedInstallation
Package: sego-cli
The command line interface for the sego frameworkAbout Sego-cliThe command line interface for the sego framework, is a helper tool that assists you while building your web application, or micro-service topology,
RESTful API, distributed compute task manager, functions as a service and other ofSego's subsystems.
To list the available commands use thelistcommand:sego listEvery command also includes a "help" screen which displays and describes the command's available arguments and options. To view a help screen, precede the name of the command with help:sego help generateThe rest of the documentation is availablehere
Package: segreg
segregis a Python module for segmented regression.Segmented regression models are defined as having breakpoints where the functional form
changes.  This project is currently limited in scope to the case of piecewise-linear and
continuous univariate models with at most two breakpoints.Thesegregcode fits segmented regression models to data using an exact algorithm due to Hudson.
The primary implementation is based oncython.  Alternative implementations
are also provided in pure python, with or withoutnumba.ReleasesThis is a pre-release.  Further small changes will be made before the code
is considered available for general use.Installationpip install segregWe strongly recommended using a virtual environment (venv), or a conda environment,
to avoid possible conflicts with other packages or other issues.Licensesegregis licensed under a BSD-3-Clause License.  SeeLICENSE.DocumentationFor a technical overview of Segmented Regression and algorithms used insegreg,
seesegmented_regression.pdf.Code documentation and a user guide shall be forthcoming.Development SetupTo build core modules, run this:python setup.py build_ext--inplaceThis buildsCcode which has already been generated usingcython.  As such,
there is no directcythondependency.
Package: seg-text
seg-textSegment multilingual text to sentencesCurrently for Python 3.8 only because of the packagevtextused.Pre-install fastetext whl for Windowsseg-textdepends onfastlidwhich in turn depends onfasttext. Installing fasttext requires a C++ compiler.For Windows without a C++ compiler, readily availablewhlpackages can be downloaded fromhttps://www.lfd.uci.edu/~gohlke/pythonlibs/and installed  (for example for python 3.8 amd64) as followspipinstallfasttext-0.9.2-cp38-cp38-win_amd64.whlInstallseg-textpipinstallseg-text# or pip install git+https://github.com/ffreemt/seg-text# or poetry add git+https://github.com/ffreemt/seg-textUseseg-textfromseg_textimportseg_textprin(seg_text(" text 1\ntest 2. Test 3"))# ["text 1", "test 2.", "Test 3"]text=""" “元宇宙”，英文為“Metaverse”。該詞出自1992年；的科幻小說《雪崩》。 """print(seg_text(text))# ["“元宇宙”，英文為“Metaverse”。", "該詞出自1992年；的科幻小說《雪崩》。"]# [;:] is a regex expression meaning either ; or :# if you use ;: (without []), it would mean ;: together as a wholeprint(seg_text(text,extra="[;:]"))# ["“元宇宙”，英文為“Metaverse”。", "該詞出自1992年；", "的科幻小說《雪崩》。"]Refer toseg_text.pyfor more details.
Package: seguid
SEGUID v2: Checksums Circular, Linear, Single- and Double-Stranded SequencesThis Python package,seguid, implements SEGUID v2 together with
the original SEGUID algorithm.Example>>>fromseguidimport*>>>lsseguid("AT")'lsseguid=Ax_RG6hzSrMEEWoCO1IWMGska-4'>>>lsseguid("AT")'lsseguid=Ax_RG6hzSrMEEWoCO1IWMGska-4'>>>csseguid("AT")'csseguid=Ax_RG6hzSrMEEWoCO1IWMGska-4'>>>csseguid("TA")'csseguid=Ax_RG6hzSrMEEWoCO1IWMGska-4'>>>cdseguid("AT","AT")'cdseguid=AWD-dt5-TEua8RbOWfnctJIu9nA'>>>cdseguid("TA","TA")'cdseguid=AWD-dt5-TEua8RbOWfnctJIu9nA'DocumentationThe package documentation is available onRead the
Docs.InstallationTheseguidpackage requires Python 3.6 or newer. To install it, use:$python-mpipinstall--userseguid
Package: segutils
segutilsCommon utilities for image processing, segmentation, and detection.AboutThis library contains many useful utilities for image processing, mostly for preprocessing and visualizations for
computer vision tasks such as object detection and segmentation. These utilities aim to have a flowing and unified
API in order to make the transition between the different stages data handling during these tasks.Install$ pip install segutilsThe MissionThere are many utilities out there for handling performing preprocessing and visualizations for computer vision tasks.
Most of these utilities are scattered among many different tools found all over the web, and the rest are incomplete
gist files and small repositories which are always lacking, none of which are on PyPi. The mission is to make a
unified toolkit for all of these tools that will follow one API logic and sensible defaults and put an end to
proprietary visualization code.Contributions are all welcome. There is much work to be done.
Package: segview
SegViewvisualise the 3D segmentation resultInstallThe most convenient way would be:pip3 install segviewYou can also Include the filesegview.pyin your project directory(SegView only support Python 3.5+, because it requiresPyQt5)Use SegViewsegview.render_label(label,metadata,alpha=1)# see the 3D model of labelssegview.annotate_label(image,label,axis=-1)# see the 2D slice with labels along different axessegview.render_image(image,metadata)# see the 3D render of an imagesegview.render_image(image,metadata,feature)# see the 3D image with featuressegview.annotate_feature(image,label)# see 2D slice with featureslabelis a 3DnumpyarrayUsually it is the result of image segmentation, having the same structureValue0corresponds to the backgroundIts shape is(x, y, z).featureis a 2DnumpyarrayUsually it is the result of intensity maxima locatingIt is 3D positions,[(x1, y1, z1), (x2, y2, z2), ...]Its shape is(feature_number, 3)metadatais a dictionary containing the voxel sizeIt is only used in 3D visualisation, as many z-stack images have lower resolutions along z-axis{'voxel_size_x': 1, 'voxel_size_y': 1, 'voxel_size_z': 1}alphaadjusts the brightness of the result
Package: segviz
Medical Image Segmentation VisualizationShow alpha-composition of an image slice and its corresponding label image.Three modes are supported:Show only the imageShow an alpha-composite of the image and its label imageShow only the outer edges of each label regionUsers can adjust:The intensity scales of the imageThe alpha value of the compositionThe edge width of the label imageUseimproc3dto transform a brain image into its axial, coronal, and sagittal views.See thedocumentationfor more details.Installpipinstallsegviz
Package: segyio
https://segyio.readthedocs.ioIntroductionSegyio is a small LGPL licensed C library for easy interaction with SEG Y
formatted seismic data, with language bindings for Python and Matlab. Segyio is
an attempt to create an easy-to-use, embeddable, community-oriented library for
seismic applications. Features are added as they are needed; suggestions and
contributions of all kinds are very welcome.Feature summaryA low-level C interface with few assumptions; easy to bind to other
languages.Read and write binary and textual headers.Read and write traces, trace headers.Easy to use and native-feeling python interface with numpy integration.Project goalsSegyio does necessarily attempt to be the end-all of SEG-Y interactions;
rather, we aim to lower the barrier to interacting with SEG-Y files for
embedding, new applications or free-standing programs.Additionally, the aim is not to support the full standard or all exotic (but
correctly) formatted files out there. Some assumptions are made, such as:All traces in a file are assumed to be of the same sample size.It is assumed all lines have the same number of traces.The writing functionality in Segyio is largely meant tomodifyor adapt
files. A file created from scratch is not necessarily a to-spec SEG-Y file, as
we only necessarily write the header fields segyio needs to make sense of the
geometry. It is still highly recommended that SEG-Y files are maintained and
written according to specification, but segyio does not mandate this.
Package: segy-lite
SEGY readerDesigned to be a very light weight seismic reader that is easy and flexible.Because of the history of SEGY standard there have been lots of places
where people tended to use as default byte possitions and data formats,
For that reason we do minimal (no) checking to make sure the bit possitions have
the information that is expected.We instead rely on highly flexable configuration files.
the defaule segy 1 and segy 0 files can be extened and adapted with custom config files.
If there is something that is missing that is needed you can use a constant and it will override whatever
is in the byte possitions.
Package: segysak
Access the full documentation for SEGY-SAK fromreadthedocsSEGY-SAKaims to be your Python Swiss Army Knife for Seismic Data.To do thisSEGY-SAKoffers two things; a commandline interface (CLI) for
inspecting and converting SEG-Y data to a more friendly format called
NETCDF4, and by providing convenience functions for the data usingxarray.
We try hard to load the data the same way every time so your functions will
work no-matter which cube/line you load. Thexarrayconventions we use are
outlined in the documentation.Why NETCDF4? Well, NETCDF4 is a fancy type of enclosed file binary format that
allows for faster indexing and data retrieval than SEGY. We try our best to
scan in the header information and to make it easy (or easier) to load SEGY
in different formats, different configuration (2D, 2D gathers, 3D, 3D gathers).
We do all this with the help ofsegyiowhich is a lower level interface to SEGY. If you stick to ourxarrayformat
of files we also offer utility functions to return to SEG-Y so you can export to
other software.Current CapabilitiesCLI:Convert 2D, 3D and gathers type SEG-Y to NETCDF4 and back. The NETCDF4 files
are one line open withxarray.open_dataset.Extract sub-volumes via cropping xline and inline.Read EBCIDC header.Perform a limited header scan.Xarray and Python API:Load 2D, 3D and gathers type SEG-Y to axarray.Dataset.Access header information and text headers in Python with convenience
functions.Select traces by UTM X and Y coordinates.InstallationSEGY-SAKcan be installed by using pip or python setuptools, we also provide anenvironment.ymlfor use
with conda.Python Package Index viapipFrom the command line run thepippackage managerpipinstallsegysakInstall from sourceClone the SEGY-SAK Github repository and in the top level directory run setuptools viapythonsetup.pyinstallCLI Quick StartThe command line interface (CLI) provides an easy tool to convert or
manipulate SEG-Y data. In your Python command-line environment it can be
accessed by callingsegysak.For a full list of options runsegysak--helpAny SEG-Y files converted using theconvertcommand. For examplesegysakconverttest.segyCan be loaded intoPythonusingxarray.test=xarray.open_dataset('test.SEISNC')Complete DocumentationThe complete documentation forSEGY-SAKcan be found atreadthedocs
Package: segytools
segytoolsDocumentationsegytoolsis a simple python library that provides low level tools for analyzing and parsing segy formatted files. There is noread_segy()function per se because that assumes the data is properly formatted in which case there are other tools much better suited, e.g.segyio. The tools here are designed to aid in the analysis of "non-standard" segy files and converting those files to a more standard form easily read by other third party software.Currently only segy revision 2 file header and trace header formats are provided. However, custom header containers can be created by inheritingSegyAbstractHeader.Originally, much of the work had been derived from another open-source segy packagesegpy, but version0.1.0has been almost completely rewritten. IBM float conversion is done withenthought/ibm2ieee.
Package: segyviewer
=======SEGYVIEWER=======Segyviewer is a small LGPL licensed python library for easy viewing of SEG-Yfiles. It uses the segyio library for reading files.## Getting started ##Segyviewer is available through pip and installed with```bashpip install segyviewer```to open segyviewer with your chosen <file.segy>```bashsegyviewer <file.segy>```## Build SegyviewerTo build segyviewer you need:* [Python](https://www.python.org/) 2.7 or 3.x.* [numpy](http://www.numpy.org/) version 1.10 or greater* [setuptools](https://pypi.python.org/pypi/setuptools) version 28 or greater* [setuptools-scm](https://pypi.python.org/pypi/setuptools_scm)* [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download)* [segyio](https://github.com/Statoil/segyio)* [matplotlib](https://matplotlib.org/)To build and install segyviewer, perform the following actions in your console:```bashgit clone https://github.com/Statoil/segyviewercd segyviewerpython setup.py buildpython setup.py install```Please note that the required library pyqt4 is not listed in requirements.txt. QT not longersupports PyQt4 and as such it is not possible to pip install PyQt4.Setup.py, which uses pip, would fail if PyQt4 was listed in requirements.txt.
Package: segyviewlib
=======SEGYVIEWER=======Segyviewer is a small LGPL licensed python library for easy viewing of SEG-Yfiles. It uses the segyio library for reading files.## Getting started ##Segyviewer is available through pip and installed with```bashpip install segyviewer```to open segyviewer with your chosen <file.segy>```bashsegyviewer <file.segy>```## Build SegyviewerTo build segyviewer you need:* [Python](https://www.python.org/) 2.7 or 3.x.* [numpy](http://www.numpy.org/) version 1.10 or greater* [setuptools](https://pypi.python.org/pypi/setuptools) version 28 or greater* [setuptools-scm](https://pypi.python.org/pypi/setuptools_scm)* [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download)* [segyio](https://github.com/Statoil/segyio)* [matplotlib](https://matplotlib.org/)To build and install segyviewer, perform the following actions in your console:```bashgit clone https://github.com/Statoil/segyviewercd segyviewerpython setup.py buildpython setup.py install```Please note that the required library pyqt4 is not listed in requirements.txt. QT not longersupports PyQt4 and as such it is not possible to pip install PyQt4.Setup.py, which uses pip, would fail if PyQt4 was listed in requirements.txt.
Package: seidel
seidelIn what followspythonis an alias forpython3.5or any later
version (python3.6and so on).InstallationInstall the latestpip&setuptoolspackages versions:python-mpipinstall--upgradepipsetuptoolsUserDownload and install the latest stable version fromPyPIrepository:python-mpipinstall--upgradeseidelDeveloperDownload the latest version fromGitHubrepositorygitclonehttps://github.com/lycantropos/seidel.gitcdseidelInstall dependencies:python-mpipinstall--force-reinstall-rrequirements.txtInstall:pythonsetup.pyinstallUsage>>>fromseidel.pointimportPoint>>>square=[Point(0,0),Point(2,0),Point(2,2),Point(0,2)]>>>fromseidel.trapezoidal_mapimportbuild_graph>>>graph=build_graph(square,shuffle=True)>>>node=graph.search_point(Point(1,1))>>>fromseidel.leafimportLeaf>>>isinstance(node,Leaf)True>>>trapezoid=node.trapezoid>>>[trapezoid.below.left,trapezoid.below.right,...trapezoid.above.right,trapezoid.above.left]==squareTrueoriginal C++ implementation can be invoked by importing from_seidelmodule instead.DevelopmentBumping 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 dependencies:python-mpipinstall--force-reinstall-rrequirements-tests.txtPlainpytestInsideDockercontainer:docker-composeupBashscript (e.g. can be used inGithooks):./run-tests.shPowerShellscript (e.g. can be used inGithooks):.\run-tests.ps1
Package: seidr
Synthesize Execute Instruct Debug RankA framework for AI-assisted program synthesis.
Given a problem description and some input-output examples, the framework generates a program that solves the problem.Usagefrom seidr import develop
help(develop)Reproducing the experiments from our paperThe experiments reported inthe blog postand in the upcoming paper are contained inbenchmark.pyfile. When you run this file, the AI-generated programs are commited to a dedicated github repository, while the metrics (i.e. how many tests every program passes) will be logged in yourWeights and BiasesSet up Weights and BiasesCreate an account onWeights and BiasesInstall theWeights and BiaseslibraryRunwandb loginand follow the instructionsSet up a github repositoryGo togithub, log in to the account that's going to push AI-generated code. Remember the $username and $email for that account.Gohereand generate an access $tokenSetGITHUB_USERto "Bot" or whatever the name of the committer shall beSetGITHUB_EMAILto $emailSetGITHUB_REMOTEto https://$username:$token@github.com/$repoDon't be fooled by the variable names, you can of course use a non-github git hosting.Set up OpenAI accessIt's 2022 and the language model inference happens in the cloud.
You are going to need an OpenAI account with access tocode-davinci-001andcode-davinci-edit-001SetOPENAI_API_KEYenvironment variable to your access token.Run the experimentsIf you're usingslurm, write arun.shfile withpython benchmark.pyand run it withsbatch run.sh --array=0-191.
If not, runTASK_ID=n python benchmark.pyto re-run one of our 192 experiments exactly, or set the parameters yourself:python benchmark.py --branching-factor 200 --language C++ --problem fizz-buzz
Package: seika
# SEIKA Mikrosystemtechnik GmbH - Software ModuleThis python package allows you to communicate with your SEIKA sensor and make basic measurements.##Usage of SEIKA python module:
1. Donwload current version (e.g. with pip)
2. Type:import seika- submodules will be imported automatically
3. Choose the program and function you want to run (e.g. programGetAngleand functionread_sensor:seika.GetAngle.read_sensor()##Programs and functions
###GetAngle:
-read_sensor(port,address)- returns continous angle readings from your sensor with addressaddressconnected to portport-read_sensor_to_file(filename,nreadings,port,address)- writes a pre-defined number (nreadings) of readings to your file with namefilename-search_sensor(port)- searches for sensors and returns a list with addresses
Package: seiketsu-api
Seiketsu-APIInstallationInstall the library usingpip:pip install seiketsu-apiUsageFirst, import theApiSeiketsuclass from the library:fromapi_seiketsuimportApiSeiketsu,ApiSeiketsuImageInitialize the ApiSeiketsu objectIn the token field, insert your token, or the public one:3rnPH1ooGMjui9fwf8y4Ueta9ivDJfbae0lTNtMRGoRddzMAhKDr=dgq7yyfJR8vCreate an instance of theApiSeiketsuclass:token='your_token'seiketsu=ApiSeiketsu(token)Read messageTo get the latest message, call theread_messagemethod:sender,message_text=seiketsu.read_message()sendercontains the sender's nickname,message_textcontains the text of the message.If you wantread_messageto run all the time you can loop:whileTrue:sender,message_text=seiketsu.read_message()print(f'{sender}:{message_text}')Write messageTo write a new chat message, call thewrite_messagemethod, passingaliasandmessage_textas arguments:seiketsu.write_message(alias="John",message_text="Hello, world!")Upload imageTo upload an image, call theupload_imagemethod, passing the image file as an argument.seiketsuImage=ApiSeiketsuImage()image_file=open('C:\\folder\\image.png','rb')# Use the correct file path to your imageimage_url=seiketsuImage.upload_image(image_file)# Call the upload_image function to upload the imageTo display an image in chat, use thewrite_messagemethod.ExampleHere is a simple example demonstrating the use of the Seiketsu-API. Reads the last message, checks if the bot wrote it himself, if not, repeats it.fromapi_seiketsuimportApiSeiketsutoken='3rnPH1ooGMjui9fwf8y4Ueta9ivDJfbae0lTNtMRGoRddzMAhKDr=dgq7yyfJR8v'seiketsu=ApiSeiketsu(token)# Initialize seiketsu APIaliasBot="TestBot"# Name for BotwhileTrue:# Waiting for a new messagesender,message=seiketsu.read_message()# Checking that this is not a message from a botifsender!=aliasBot+'#BOT':# Sending a reply messageseiketsu.write_message(alias=aliasBot,message_text=message)# Message output to consoleprint(f'Repeated message:{aliasBot}:{message}')