Saravanan666/pypi-org huggingface dataset:
Package: cx
Coastal expressCompute nearest neighbor distances along the coast with a view angle.Installation$ pip install cxExamplecx --boundary="$PWD/boundary.txt" \
   --islands="$PWD/islands.txt" \
   --view-angle=90.0 \
   --min-distance=3.0 \
   --max-distance=40.0 \
   --output-dir="$PWD/output"Available options$ cx --help

Usage: cx [OPTIONS]

Options:
  --boundary TEXT      File containing the boundary.
  --islands TEXT       File(s) containing island data - you can use wildcards.
  --view-angle TEXT    View angle in degrees.
  --min-distance TEXT  Min distance.
  --max-distance TEXT  Max distance.
  --output-dir TEXT    Output folder.
  --help               Show this message and exit.Definition of the view angleThe code will form view vectors perpendicular to the coastline. The code will
make sure that along the boundary, the vectors point towards “inside” and along
islands they point towards “outside”. The view vector is computed to be
perpendicular to the vector connecting the two neighboring points of the
current point.The view angle of N degrees defines a view sector N/2 degrees to both sides of
the view vector.  In other words a view angle of N degrees is N degrees wide in
total and is oriented symmetrically around the view vector which is
perpendicular to the coast line.Input and output formatsThe code will read boundary and island files. It assumes that the first line in
the boundary file contains the total number of polygon points, followed by one
line per point.  First and last polygon point are expected to be the same
point.  Two first numbers in each line are assumed to be x and y coordinates in
arbitrary but consistent units.  Each line can contain more numbers and the
code will not worry about these.The code can read one or many island files. Each island file can contain one or
many polygons.  Each polygon starts with one line specifying the total number
of points.  First and last polygon point are expected to be the same point.
Each point line is interpreted the same way as the boundary.The output format preserves all lines and numbers and the only thing it will do
is to append each point line by the computed distance. In other words each
point line will become longer by one number.
Package: cx16-conv
cx16-convConversion utilities for the Commander X16.Currently supported conversions:GraphicsPalettesInstallationRequires Python 3.8 or later.pip install cx16_convUsageGenerating a palettecx16-conv pal generate <image> <palette_file>This command will extract all colors from the given image and save them to the
palette file.If the palette file already exists, new colors will be added as needed.If the palette file does not already exist, an empty palette is createdExporting a palettecx16-conv pal export [-p palette_file] [-f format_spec] <output file> <symbol name>Converts a palette file to various supported formats:C-array(default)GPL(GIMP-formatted palette file)If no palette file is specified, the system default palette is used.Converting graphicscx16-conv gfx [-p palette_file] [-f format] <image file> <output file> <symbol name>Converts an image file to various supported formats:C-array(default)If no palette file is specified, the system default palette is used.
Package: cxalio-studio-tools
cxalio-studio-tools介绍这是一套用于简化影视后期工作的脚本合集。涉及各种繁复的资料处理工作，解放双手，减少出错。安装pip--installcxalio-media-tools#推荐使用 pipx 安装pipx--installcxalio-media-tools包含的工具mediakillermedia-killer 可以通过配置文件操纵 ffmpeg 批量地对大量媒体文件转码，
仅支持单文件输入，可以保留源文件的目录层级。
请查看具体说明subconvsubconv 是一个批量从字幕文件提取台词本的工具。
请查看具体说明To-domedia-inspector 解析媒体信息
Package: cxas
InstallationThe project is available in PyPI. To install run:pip install cxasRunning Segmentation from terminalSegment the anatomy of X-Ray images (.jpg,.png,.dcm) and store the results (npy,json,jpg,png,dicom-seg):` cxas_segment-i{desired input directory or file}-o{desired output directory} `Running Feature Extraction from terminalExtract anatomical features from X-Ray images (.jpg,.png,.dcm) and store the results (.csv):cxas_feat_extract-i{desired input directory or file}-o{desired output directory}-f{desired features to extract}Running either from terminalExtract anatomical features from X-Ray images (.jpg,.png,.dcm) and store the results (.csv):cxas-i{desired input directory or file}-o{desired output directory}-mode{"segment" or "exract"}-f{required if mode == 'extract'}CitationIf you use this work or dataset, please cite:@inproceedings{Seibold_2022_BMVC,author={Constantin Marc Seibold and Simon Reiß and M. Saquib Sarfraz and Matthias A. Fink and Victoria Mayer and Jan Sellner and Moon Sung Kim and Klaus H. Maier-Hein and Jens Kleesiek and Rainer Stiefelhagen},title={Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding},booktitle={33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022},publisher={{BMVA} Press},year={2022},url={https://bmvc2022.mpi-inf.mpg.de/0058.pdf}}@inproceedings{Seibold_2023_CXAS,author={Constantin Seibold, Alexander Jaus, Matthias Fink,
    Moon Kim, Simon Reiß, Jens Kleesiek*, Rainer Stiefelhagen*},title={Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling},year={2023},}
Package: cxbind
CxBind :chains:pybind11 binding generatorClonegitclonehttps://github.com/crungelab/cxbindcdcxbind
procureVirtual EnvironmenthatchshellDevelopmentTool Chainpybind11BuildGenerate BindingscxbindBuild for PyPIcmake-S.-B_build-DCMAKE_INSTALL_PREFIX=cxbind
cmake--install_build
Package: cx-debug-adapter
esp_debug_adapteresp_debug_adapter works as connecting part between IDE and an Debug server. From the IDE side it is needed to followDAP, from Debug server this adapter is compatible withGDB/MIprotocol.Table of Content:UsageReferencesSee also:Start Modes and ArgumentsTestingAuto-generated documentationUsageFor advanced arguments description follow to specific section:Start Modes and ArgumentsBasic description is bellow:Usage:debug_adapter_main.py[OPTIONS]Options:-a,--app_flash_offINTEGERProgramstartaddressoffset(ESP32_APP_FLASH_OFF)[default:65536]-b,--board-typeTEXTTypeoftheboardtoruntestson(youcoulduseOOCD_TEST_BOARDenvvarbydefault)-d,--debugINTEGERDebuglevel(0-4),5-forafullOOCDlog[default:2]-dn,--device-nameTEXTThenameofusedhardwaretodebug(currentlyEsp32orEsp32_S2).Itdefines--toolchain-prefix-p,--portINTEGERListenongivenportforVSCodeconnections[default:43474]-pm,--postmortemRuntheadapterwithouttargetin'read-only'mode--developer-mode[none|connection-check|x86-test]Modesfordevelopmentpurposes[default:none]-l,--log-fileTEXTPathtologfile.-lm,--log-mult-filesLogtoseparatedfiles-t,--toolchain-prefixTEXT(Ifnotset,controlledby--device-name!)Toolchainprefix.Ifset,rewritesthevaluespecifiedby--device-name.-e,--elfpathTEXTApathtoelffilesfordebugging.Youcanuseseveralelffilese.g.`-efile1.elf-efile2.elf`-c,--core-fileTEXTUseafileasacoredumptoexamine.-x,--cmdfileTEXTPathtoacommandfilecontainingcommandstoautomaticexecuteduringaprogramstartup-tsf,--tmo-scale-factorScalefactorforgdbtimeout[default:1]-o,--oocdTEXTPathtoOpenOCDbinaryfile,(usedOPENOCD_BINenvvaror(ifnotset)'openocd'bydefault)[default:openocd]-oa,--oocd-argsTEXT(Ifnotset,drivesby--device-name!)SpecifiescustomOpenOCDargs.Ifset,rewritesthevaluespecifiedby--device-name.-om,--oocd-mode[run_and_connect|connect_to_instance|without_oocd]CooperationwithOpenOCD[default:connect_to_instance]-ip,--oocd-ipTEXTIpforremoteOpenOCDconnection[default:localhost]-s,--oocd-scriptsTEXTPathtoOpenOCDTCLscripts(useOPENOCD_SCRIPTSenvvarbydefault)--helpShowthismessageandexit.ReferencesThis software used at the Espressif's vscode-plugin, but could be run standaloneThe project contains debug adapter written in python following  a protocol my Microsofthttps://microsoft.github.io/debug-adapter-protocol/Credits and licensingThis software is based on atutorialby Fabio Zadrozny.All original code in this repository is Copyright 2020 Espressif Systems (Shanghai) Co. Ltd.The project is released under Eclipse Public License 2.0.In case an individual source file is also available under a different license, this is indicated in the file itself.
Package: cx-Freeze
VersionDownloadsPythonCodecx_Freezecreates standalone executables from Python scripts, with the same
performance, is cross-platform and should work on any platform that Python
itself works on.InstallationIn a virtual environment, install by issuing the command:pip install --upgrade cx_FreezeTo install the latest development build:pip install --upgrade --pre --extra-index-url https://marcelotduarte.github.io/packages/ cx_FreezePlease check theinstallationfor more information and how to install in others environment such as pipenv,
conda-forge, etc.DocumentationThe official documentation is availablehere.If you need help you can also ask on thediscussionchannel.Highlights of Version 6.15:Breaking change: remove camelCase in Executable apiNew hooks: lazy_loader, librosa, jpype, pyimagej, pyreadstatImproved hooks: matplotlib, pytorch, PyQt6, PySide6, TkInterBug fixes and improvementsHighlights of Version 6.14:Support Python 3.11Binary wheels (x86_64 and aarch64) for musllinuxMaintain Windows base executables on git (install from sources without C compiler)Improved documentationNew hooks: charset_normalizer, shapely, sklearn, pytorchImproved hooks: scipy, sqlite3Bug fixes and improvementsHighlights of Version 6.2 up to 6.13:Binary wheels (x86_64 and aarch64) for manylinux and macOS (including Apple Silicon)New or improved hooks, especially matplotlib, numpy, PyQt5, PyQt6, PySide2, PySide6 and TkinterSupport Application Manifests in Windows: manifest and uac-adminComplete integration to setuptools instead of distutilsNew dependency resolver on WindowsSupport for pathlib.PathNew ModuleFinder engine uses importlib.machineryRefactored FreezerNew support for package metadata improving Module and new DitributionCacheEnhanced support for Python 3.8 to 3.10, including MSYS2 and conda-forge distributionsImprovements for multiprocessingOptimizations in detection and distribution of librariesCode modernizationVarious bug fixes.Licensecx_Freeze uses a license derived from thePython Software Foundation License.
You can read the cx_Freeze license in thedocumentationor in thesource repository.
Package: cxit
CODEItA CLI based Script tool to create CPP files for programming contestsIn times of contests, one has to create a CPP file, type code in it, test the cases, find the errors etc. Some times, it'd be really hectic to create files and start. But how about a tool to generate a directory which has all the files you need?? ;)CODEIt eases this problem by creating the directory which has all files in itC++ template is only added for now, more to come in future!Installation (for users)Make sure you've installed Python 3 in you system, if not do it first.Then type the following commands...pip install clintpip install watchdogThen finally typepip install cxit(package is still codeit but renamed to avoid conflicts)Typecodeitand you're good to go!Installation (for developers)To install typegit clone https://github.com/Arch2x/codeitto clone the repo into your systemNext, go to the folder by using thecdcommand or directly usebashorcmdon the file path of repoThen typepip install setuptoolsFinally, typepip install .Wait for sometime until the script finishes installing necessary packagesThen, voila! Typecodeitto start!DemoHere's a demo of the project to understand! (Done using VS Code)ContributionsAny type of contributions are welcome for this repo! ReferContributionsto know how to contribute to this repo and more.Code Of ConductThis repo follows theContributor Covenantto enforce proper behaviour. Refer the doc for more details.Maintainers ✨👨Thanks goes to these wonderful people (emoji key):Aadhitya A💻🎨📖🧑‍🏫🚧Contributors ✨Thanks a lot guys!Stargazers over timeWith your effort, we can raise the numbers! ;)LicenseThis project usesMIT Licenseto maintain integrity
Package: cxlint
Dialogflow CX LinterSimilar tocode linting, Dialogflow CX Agents can benefit from an automated linter to catch various common design defects when developing Agents.
The primary goal is to minimize common defects shipped to production by proactively catching and fixing them.Quick StartIn order to use this library, you first need to go through the following steps:Select or create aCloud Platformproject.Enable billingfor your project.Setup Authentication.Mac/Linuxpipinstallvirtualenv
virtualenv<your-env>source<your-env>/bin/activate
<your-env>/bin/pipinstallgoogle-cloud-dialogflow-cxWindowspipinstallvirtualenv
virtualenv<your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exeinstallgoogle-cloud-dialogflow-cxAuthenticationAuthentication can vary depending on how and where you are interacting with Dialogfow CX Linter.Google ColabIf you're using cxlint with aGoogle Colabnotebook, you can add the following to the top of your notebook for easy authenticationproject_id='<YOUR_GCP_PROJECT_ID>'# this will launch an interactive prompt that allows you to auth with GCP in a browser!gcloudauthapplication-defaultlogin--no-launch-browser# this will set your active project to the `project_id` above!gcloudauthapplication-defaultset-quota-project$project_idAfter running the above, Colab will pick up your credentials from the environment. No need to use Service Account keys!RulesCurentlist of rulesthat are being implemented for CX Linter.If you have an idea for a new rule, please submit a Feature Request!ExamplesCode samples and snippets live in theexamples/folder.Supported Python VersionsPython >= 3.8ContributingWe welcome any contributions or feature requests you would like to submit!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull RequestLicenseDistributed under the Apache 2.0 License. SeeLICENSEfor more information.
Package: cx-Logging
Open Source Python Utility - cx_Loggingcx_Logging is a Python extension module which operates in a fashion similar tothe logging module that ships with Python 2.3 and higher. It also has a Cinterface which allows applications to perform logging independently of Python.This project is being released to the public since other projects that areavailable publicly depend on this module.Please see the included documentation for additional information. Note thatthe documentation is a work in progress. It is currently only suitable asreference material but I intend to supplement this documentation over time.
Package: cxnet
The cxnet extends IGraph module with some functionality
I am using in higher education.
Some functionality is available with NetworkX module as well.
Function plotting needs matplotlib (pylab).Functionalities:
- Creating networks with multifractal network generator.
- Creating network from the deb package hierarchy.
- Investigating and plotting degree distribution.
- Graph methods:to list the vertices with most degrees,to plot the neighbours of a vertex.A tool to create network evolution models.
Package: cxnetwork
cxnetworkExperimental library to process and analyze complex networksRequirementsC11 compatible compiler (GCC, CLANG)Compilingrunpip install cxnetworkon the project directory.Usageimportcxnetworkascxcx.randomSeedDev();edges=[(0,1),(1,2),(2,3),(3,4),(4,5),(5,6),(6,7),(7,8),(8,9),(9,10),(10,0)]edges+=[(0,2),(1,3),(2,4),(3,5),(4,6),(5,7),(6,8),(7,9),(8,10),(9,0),(10,1)]rewiredEdges=cx.rewire(edges,11,0.5);print(rewiredEdges);
Package: cxnstr
cxnstrParse database connection strings in python. Currently only supports
MySQL.>>> import cxnstr
>>> params = cxnstr.to_dict("myhost:3306/MyDB?read_default_file=~/.my.cnf")
>>> params
{'host': 'myhost', 'port': 3306, 'db': 'MyDB', 'read_default_file': '~/.my.cnf'}
>>> import pymysql
>>> conn = pymysql.connect(**params)See doctests for full connection string specification.The library also includes a command line program for parsing connection
strings and outputting in various formats:$ cxnstr -t json "myhost:3306/MyDB?read_default_file=~/.my.cnf"
{"read_default_file": "~/.my.cnf", "db": "MyDB", "host": "myhost", "port": 3306}
Package: cx-Oracle
cx_Oracle version 8.3cx_Oracle is a Python extension module that enables access to Oracle
Database.  It conforms to thePython database API 2.0
specificationwith a considerable number of additions and a couple
of exclusions.  See thehomepagefor a
feature list.cx_Oracle 8.3 has been tested with Python versions 3.6 through 3.10. You can
use cx_Oracle with Oracle 11.2, 12c, 18c, 19c and 21c client libraries.
Oracle's standard client-server version interoperability allows connection to
both older and newer databases. For example Oracle 19c client libraries can
connect to Oracle Database 11.2.   Older versions of cx_Oracle may work with
older versions of Python.InstallationSeecx_Oracle Installation.DocumentationSee thecx_Oracle DocumentationandRelease Notes.SamplesSee the/samplesdirectory and thetutorial.  You can also
look at the scripts incx_OracleToolsand the modules incx_PyOracleLib.HelpIssues and questions can be raised with the cx_Oracle community onGitHubor on themailing list.TestsSee/test.ContributingSeeCONTRIBUTINGLicensecx_Oracle is licensed under a BSD license which you can findhere.
Package: cx-Oracle-async
cx_Oracle_asyncA very simple asynchronous wrapper that allows you to get access to the Oracle database in asyncio programs.Easy to use , buy may not the best practice for efficiency concern.Requirementscx_Oracle >= 8.1.0(Take into consideration that author of cx_Oracle said he's trying to implement asyncio support , APIs maybe change in future version. Switch to 8.1.0 if there's something wrong makes it not gonna work.)ThreadPoolExecutorPlus >= 0.2.0Installpip install cx_Oracle_asyncFeatureNearly all the same as aiomysql in asynchronous operational approach , with limited cx_Oracle feature support.No automaticly date format transition built-in.AQ feature added , checkdocs herefor further information.You can modify some of the connection properties simply like you're using cx_Oracle.You can do basic insert / select / delete etc.If you're connecting to database which is on a different machine from python process , you need to install oracle client module in order to use this library. Checkcx-Oracle's installation guidefor further information.Documentationhttps://cx_oracle_async.readthedocs.ioPerformancequery typeasynchronous multithreadingsynchronous multithreadingsynchronous single threadfast single line query6259.80 q/s28906.93 q/s14805.61 q/ssingle line insertion1341.88 q/s1898 q/s1685.17 q/s/* Test platform: */AMD Ryzen 3700xWindows 10 LTSCOracle 19cYou can find performance test codeshere.ExamplesBefore running examples , make sure you've already installed aOracle Clienton your machine.# basic_usages.pyimportasyncioimportcx_Oracle_asyncasyncdefmain():oracle_pool=awaitcx_Oracle_async.create_pool(host='localhost',port='1521',user='user',password='password',service_name='orcl',min=2,max=4,)asyncwithoracle_pool.acquire()asconnection:asyncwithconnection.cursor()ascursor:awaitcursor.execute("SELECT * FROM V$SESSION")print(awaitcursor.fetchall())awaitoracle_pool.close()if__name__=='__main__':asyncio.run(main())
Package: cx_oracle_on_ctypes
cx_oracle_on_ctypesWhatcx_Oracle re-written in Python, using ctypes to interface with Oracle native code. 100% API-compatible with cx_Oracle.Why?!cx_Oracle is great code, but as many CPython extensions, it is not compatible with other Python implementations. I rewrote it in Python to be able to use PyPy and possibly Jython and IronPython. Also, ctypes is the recommended way to integrate C code with PyPy, as it can benefit from the JIT and no CPython emulation must be done.How good is it?Most of the Oracle datatypes are implemented and most of tests from cx_Oracle pass. Django works. Tested with Oracle 10 and 11.
The performance is not as good as cx_Oracle yet, but it improves fast as PyPy’s JIT improves.InstallationAs in cx_Oracle, you need the binary library from Oracle ( the instant client will suffice ) and you need to setup the environment variables so that Python can find it. As an example, take a look intohttps://github.com/lameiro/cx_oracle_on_ctypes/blob/master/test/setup_test_env_10.shand adapt accordingly.To install the python module, just put the cx_Oracle dir in your PYTHONPATH.License3-clause BSD, like cx_Oracle. Seehttp://opensource.org/licenses/BSD-3-ClauseDifferencescx_oracle_on_ctypes is 100% API compatible with cx_Oracle. If you find any missing functionality, even if it is not in the DB-API specification, report a bug.ContributingFeedback and patches are welcome. Send them through the issue tracker or by e-mail.Changelog0.1 (unreleased)Add packaging-files likesetup.py,setup.cfg,MANIFEST.in[WouterVH]Fix thread-safety issues with the DescriptorManager.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/8[lameiro / K0Te]FixStatementError: 'module' object has no attribute 'Binary'in SqlAlchemy.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/6[lameiro]Supportkwargsfor sid and service name. Fixes sqlalchemycreate_engine.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/5[lameiro / muxueqz]Compatibility with oracle 12.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/4[lameiro]Fix type inOCILobIsTemporary-function-call.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/2[K0Te]Fix error on windows.
Fixeshttps://github.com/lameiro/cx_oracle_on_ctypes/issues/2[lameiro]Initial implementation
[lameiro]ContributorsLeandro Lameiro <lameiro@gmail.com>K0Te <juravel2@gmail.com>Pei-Lun Lee <ypcat6@gmail.com>Wouter Vanden Hove <wouter.vanden.hove@bics.com>
Package: cx-pyqtgraph
This is CustomXepr’s fork of PyQtGraph.This package installs into the cx_pyqtgraph namespace to avoid conflicts.PyQtGraph is a pure-python graphics and GUI library built on PyQt4/PySide and
numpy.It is intended for use in mathematics / scientific / engineering applications.
Despite being written entirely in python, the library is very fast due to its
heavy leverage of numpy for number crunching, Qt’s GraphicsView framework for
2D display, and OpenGL for 3D display.