Saravanan666/pypi-org huggingface dataset:
Package: digitalclockkel5
Digital Clock Library for TkinterDigital Clock Library adalah sebuah modul sederhana yang menyediakan fungsionalitas untuk menampilkan jam digital secara real-time dalam aplikasi yang menggunakan Tkinter sebagai GUI toolkit-nya. Library ini memungkinkan pengguna untuk dengan mudah menambahkan dan menampilkan jam digital yang dapat diperbarui secara otomatis pada aplikasi berbasis Tkinter.APOD) API.Installastionpip install digital-clockPenggunaanLibrary ini memudahkan pengguna untuk menambahkan jam digital ke dalam aplikasi Tkinter dengan langkah-langkah sederhana:Inisialisasi objek DigitalClock dengan menentukan parameter seperticontainer,lebar,tinggi,warna latar belakang,warna teks, danukuran font.
Memanggil metodecreate_clock()untuk membuat tampilan jam digital dengan parameter yang diinginkan.
Memanggil metodeupdate_time()untuk memulai pembaruan waktu secara real-time.Implementasiimporttkinterastkfromdigital_clockimportDigitalClockroot=tk.Tk()clock_frame=tk.Frame(root,bg="yellow")clock_frame.pack()clock=DigitalClock(clock_frame,200,100,"yellow","black",15)clock.create_clock(200,100,"yellow","black",15)clock.update_time()root.mainloop()
Package: digital-commons
digicommAboutA simple Python library that wraps the Digital Commons v2 Real Time API.Installationpipinstalldigital_commonsUsagefromdigital_commonsimportDigitalCommonsx=DigitalCommons(site_url=:'trace.tennessee.edu',key='my-digital-commons-key').query(('q','video'),('title','2013'),('limit','2'))
Package: digital-comms
The Cambridge Communications Assessment Model=============================================[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg)](http://ccam.readthedocs.io/en/latest/?badge=latest)[![Build Status](https://travis-ci.org/nismod/digital_comms.svg?branch=master)](https://travis-ci.org/nismod/digital_comms)[![Coverage Status](https://coveralls.io/repos/github/nismod/digital_comms/badge.svg?branch=master)](https://coveralls.io/github/nismod/digital_comms?branch=master)*(click on the 'docs' button to get directed to the full model documentation)*Description===========**The Cambridge Communications Assessment Model** provides analytics fordecision-makers on (i) capacity-demand and (ii) risk, vulnerability andresilience. The fixed, wireless and satellite sectors are currently under development.## Citation:```Oughton, E. J. and Frias, Z. (2017) The cost, coverage and rollout implications of 5G infrastructurein Britain. Telecommunications Policy. doi: 10.1016/j.telpol.2017.07.009.```Setup and configuration=======================All code for **The Cambridge Communications Assessment Model** is written inPython (Python>=3.5) and has a number of dependencies.See requirements.txt for a full list.Using conda-----------The recommended installation method is to use `conda<http://conda.pydata.org/miniconda.html>`_,which handles packages and virtual environments, along with the conda-forge channel which hasa host of pre-built libraries and packages.Create a conda environment, using 'digital_comms' as a short reference for digital communications:conda create --name digital_comms python=3.6Activate it:activate digital_commsFor development purposes:Run this command once per machine:python setup.py developTo install permanently:python setup.py installTo build the documentation:python setup.py docsThe run the tests:python setup.py testFunding (EPSRC Grant EP/N017064/1)==========================**The Cambridge Communications Assessment Model** was written anddeveloped at the [Judge Business School](http://www.jbs.cam.ac.uk/home/),[University of Cambridge](http://www.cam.ac.uk/) and at the [Environmental Change Institute](http://www.eci.ox.ac.uk/),[University of Oxford](https://www.ox.ac.uk/) within the EPSRC-sponsored MISTRAL programme,as part of the [Infrastructure Transition Research Consortium](http://www.itrc.org.uk/).
Package: digital-cortex
digital-cortexPython Client package for Digital Cortex# https://packaging.python.org/en/latest/tutorials/packaging-projects/Aug-22-2023How to use:pip install digital-corteximport digital_cortex as dc

token = "get token from your digital-cortex account"

client = dc.client(token)

response = client.execute_function(......)
all_models_of_users = client.get_all_user_models()
dataset_details = client.get_particuler_dateset(dataset_id="data_set_id")
Package: digitalearth
Current release infoNameDownloadsVersionPlatformsdigitalearth - Remote Sensing packagedigitalearthis a Remote Sensing packagedigitalearthMain Featuresplot static mapsFuture workdynamic/interactive mapsInstalling digitalearthInstallingdigitalearthfrom theconda-forgechannel can be achieved by:conda install -c conda-forge digitalearthIt is possible to list all of the versions ofdigitalearthavailable on your platform with:conda search digitalearth --channel conda-forgeInstall from Githubto install the last development to time you can install the library from githubpip install git+https://github.com/MAfarrag/digitalearthpipto install the last release you can easly use pippip install digitalearth==0.1.11Quick startfrom digitalearth.map import Map
src = gdal.Open("examples/data/acc4000.tif")
fig, ax = Map.plot(src, title="Flow Accumulation", cbar_label="Flow Accumulation")points = pd.read_csv("examples/data/points.csv")
point_color = "blue"
point_size = 100
id_color = "yellow"
id_size = 20

display_cellvalue = True
num_size = 8
background_color_threshold = None
ticks_spacing = 500

fig, ax = Map.plot(
            src,
            point_color=point_color,
            point_size=point_size,
            pid_color=id_color,
            pid_size=id_size,
            points=points,
            display_cellvalue=display_cellvalue,
            num_size=num_size,
            background_color_threshold=background_color_threshold,
            ticks_spacing=ticks_spacing,
            title="Flow Accumulation",
            cbar_label="Flow Accumulation"
        )other code samples=======
History0.1.0 (2022-05-24)First release on PyPI.0.1.8 (2022-12-19)Use environment.yaml and requirements.txt instead of pyproject.toml and replace poetry env byconda env0.1.9 (2022-12-19)lock numpy to version 1.23.50.1.10 (2022-12-27)fix pypi package names in the requirements.txtfix python version number0.1.11 (2023-01-31)bump up cleopatra versionbump up pyramids versionadd github action for creating a release from tags
Package: digital-experiments
A lightweight python package for recording and analysing configurations and results of coding experiments.Keeping track of the results of coding experiments can be a pain.
Over time, code and dependencies can change, and without careful record-keeping, it becomes difficult to remember and reproduce optimal configurations and results.digital-experimentsautomates such tracking. To enable this automation, wrap your experiment's main function with the@experimentdecorator. Every time the function is called, the following information is saved to disk:the inputs (args,kwargsand defaults)the output/s (any, arbitrary object)the code of the functionthe currentgitinformation (if available)timing informationpython environment informationThis information is available for analysis in the same or different python sessions, via theobservationsAPI.To get started, see the basic use case below, orour example notebook.Installationpip install digital-experimentsBasic UseDefine your experiment as a pure-python function, and decorate it with@experiment:fromdigital_experimentsimportexperiment@experimentdefmy_experiment(a,b=2):returna**bCall the function as normal:>>>my_experiment(2,3)8>>>my_experiment(4)16Access the results of the experiment:>>>my_experiment.observations()[Observation(<id1>,{'a':2,'b':3}→8}),Observation(<id2>,{'a':4,'b':2}→16})]If you havepandasinstalled, you can also access these results as aDataFrame:>>>my_experiment.to_dataframe()idconfig.aconfig.bresult0<id1>2381<id2>4216DocumentationFor more information, see thedocumentation.
Package: digital_loggers_client
Digital Loggers ClientSmall client library for interacting with Digital Loggers Web Power SwitchesFree software: ISC licenseDocumentation:https://digital-loggers-client.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2016-11-10)First release on PyPI.
Package: digitalmarketplace-developer-tools
Digital Marketplace developer toolsCommon developer tooling for Digital Marketplace repos.QuickstartInstallthe digitalmarketplace-developer-tools package from PyPIand
run Invoke in a Digital Marketplace repo to see what tasks are available:$ pip install digitalmarketplace-developer-tools
$ invoke --listStuff in this repoInvoke tasksDevelopers on the Digital Marketplace need to be able to easily set-up a
developer environment for a repo, so they can quickly start making changes to
the code.Traditionally this need has been met withmake, however on the Digital
Marketplace we are starting to useInvokeinstead.Invoke lets us write tasks once and use them for multiple repos. Being written
in Python, we can create a library of tasks and publish them on PyPI for reuse.
Thepackage for this repoincludes these tasks.To start using the tasks in a repo, add atasks.pyfile and import the
collection of tasks appropriate for the repo. For instance, for a frontend app:# tasks.py
from dmdevtools.invoke_tasks import frontend_app_tasks as nsTheas nspart is needed so that theinvokecommand line tool sees the
imported tasks, read theInvoke documentation on collections and
namespacesfor more details on how this works.For backwards-compatibility,makecan still be used for a repo. Just copy theMakefilefrom this repo(or just the%goal), and any
unrecognised goals will be sent toinvoke.LicenceUnless stated otherwise this codebase is released underthe MIT
License. This covers both the codebase and any sample code in the
documentation.The documentation is© Crown copyrightand available under
the terms of theOpen Government 3.0licence.
Package: digital-multimeter
Digital MultimeterDigital Multimeter provides both a CLI and Python API interface to receive data
from a variety of digital multimeters.See the list of supported multimetershere.FeaturesCommand line and Python module interface to digital multimetersContinuous live data readings (using--count 0)Output injsonorcsvformatsOutput to console or file, allowing other tools to pickup and use the dataConfiguration via config-file or environment-variablesEasy to expand for new digital-multimeter protocolsEasy installation using PyPIpipDocumentation and examples atdigital-multimeter.readthedocs.ioInstallationuser@computer:~$pipinstall[--upgrade]digital-multimeterCLI Usage ExampleContinuously read the digital-multimeter and pipe the JSON output throughjqto
make the JSON output look prettier.user@computer:~$dmmread--connect/dev/ttyUSB0--count0|jq.{"reading":{"value":156.70000000000002,"unit_name":"volts","unit_symbol":"V","scale":0.001,"scale_name":"milli","scale_symbol":"m","scaled_value":0.15670000000000003,"is_relative":false},"instrument":{"module":"MultimeterDigitechQM1538","operation_mode":"voltage_dc","low_battery":false,"is_hold":false},"time":{"elapsed":0.349347334,"interval":0.349347334,"timestamp":1605936374.7694516,"unit_name":"second","unit_symbol":"s"}}Python API UsagePython-module documentation is availablehere.ProjectGithub -github.com/ndejong/digital-multimeterPyPI -pypi.python.org/pypi/digital-multimeterReadTheDocs -digital-multimeter.readthedocs.ioCopyright © 2021-2023Nicholas de Jong
Package: digital-nondigital-pdf-extraction
# After installation use syntax :## Load library#fromdigital_nondigital_pdf_extractionimportpdf_extractorresult,digital_pages,nondigital_pages=pdf_extractor.digital_nondigital_classifier("scansmpl.pdf")# scansmpl.pdf replace with your file name.print(result)print(digital_pages)print(nondigital_pages)# It will return result either Digital, Non-Digital or Mixed based on document.# digital_pages - digital page numbers present in pdf.# nondigital_pages - nondigital page numbers present in pdf.data=pdf_extractor.digital_nondigital_extractor("scansmpl.pdf",digital_pages,nondigital_pages)print(data)# Your resultThanks and Enjoy !!!
Package: digital-object
Digital ObjectModel for representations of digital content from cultural assets for libraries.Digitized materials are organized in tree-like structures and serialized in hierachical XML formats.Concerning OCR-assets, handle digitized data representing hierachical XML-formats likeAltoorPage.InstallationInstallation viaPyPipipinstalldigitized-objectLicenseThis project's source code is licensed under terms of theMIT license.NOTE: This project depends on components that may use different license terms.
Package: digitalocean-inventory
DigitalOcean inventoryAn ansible dynamic inventory for DigitalOceanStatusSourceShieldsProjectRaisedInstallationpipinstalldigitalocean_inventoryUsageExport the project environment variables:exportDO_PROJECT=exampleexportDO_ENV=productionexportDO_SSH_DIR=/Users/joel/.ssh/exampleExport an access token:exportDO_ACCESS_TOKEN=<token>The pacakges exposes the executable:digitalocean-inventory--listTags and inventory metadata are compiled into the output:{"meta":{"hostvars":{"123.123.123.123":{"ansible_python_interpreter":"/usr/bin/python3","ansible_ssh_extra_args":"-o StrictHostKeyChecking=no","ansible_ssh_private_key_file":"/Users/joel/.ssh/example/example-production-0"}}},"all":{"hosts":["123.123.123.123"],"vars":{},"children":{}},"production":{"hosts":["123.123.123.123"]},"manager":{"hosts":["123.123.123.123"]}}The executable has support for host, list and debug flags:usage:Digitaloceaninventory[-h][--host[HOST]][--list[LIST]][--debug[DEBUG]][--private-ips[PRIVATE_IPS]]optionalarguments:--host[HOST]--list[LIST]--debug[DEBUG]--private-ips[PRIVATE_IPS]To use with the ansible-playbook cli:inventory.py:#!/usr/bin/env pythonfromdigitalocean_inventoryimportfetchif__name__=='__main__':fetch()ansible-playbook-iinventory.py<playbook>You can consume the inventory in order to mutate it before outputting:#!/usr/bin/env pythonfromdigitalocean_inventoryimportfetchif__name__=='__main__':inventory=fetch(stdout=False)print(inventory)DocsAdditional details are available in theDocumentation.TestsInstall dependencies:pipinstall.[tests]Run with pytestpytestVersioningSemVeris used for versioning. For a list of versions available, see the tags on this repository.Bump2version is used to version and tag changes.
For example:bump2versionpatchReleases are made on every major change.AuthorJoel Lefkowitz-Initial work-Joel LefkowitzSee also the list of contributors who participated in this project.LicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for detailsAcknowledgmentsNone yet!
Package: digital-rf
The Digital RF project encompasses a standardized HDF5 format for reading and writing of radio frequency data and the software for doing so. The format is designed to be self-documenting for data archive and to allow rapid random access for data processing.This package includes:digital_rfPython packageTools for managing and processing Digital RF datagr_digital_rfPython package for interfacing with GNU RadioGNU Radio Companion blocksthor.pyUHD radio recorder scriptExample scripts and applicationsDigital RF C and MATLAB libraries can be found at theofficial source code repository. To build from source, you must have the HDF5 library and headers installed.For help and/or questions, contact theuser mailing list.GNU Radio ConfigurationIf you plan on using Digital RF with GNU Radio, make sure to run thepipcommand in the same Python environment that your GNU Radio installation uses so that GNU Radio can find the packages. Depending on your GNU Radio installation, it may be necessary to add the Digital RF blocks to your GRC blocks path by creating or editing the GRC configuration fileUnix (local):$HOME/.gnuradio/config.confWindows (local):%APPDATA%/.gnuradio/config.confUnix (global):/etc/gnuradio/conf.d/grc.confCustom (global):{INSTALL_PREFIX}/etc/gnuradio/conf.d/grc.confto contain:[grc]
local_blocks_path = {PIP_PREFIX}/share/gnuradio/grc/blocks(replacing{PIP_PREFIX}with the pip installation prefix, “/usr/local” for example).Example UsageThe following code will load and read data located in a directory “/data/test”.Load the module and create a reader object:import digital_rf as drf
do = drf.DigitalRFReader('/data/test')List channels:do.get_channels()Get data bounds for channel ‘cha’:s, e = do.get_bounds('cha')Read first 10 samples from channel ‘cha’:data = do.read_vector(s, 10, 'cha')
Package: digital-sport
ОписаниеПолучение структурированной информации по спортивным  live событиям.Очень важно, все данные доступны в live режиме. Данные только по футболу.Нельзя получать данные по матчам которые уже:сыгранызапланированыУстановкаpip install digital-sportВопросы по работе библиотеки:help in telegram@sport_userПолучить live матчи.from sport import FootballSport

football = FootballSport()

fixtures = football.live()

print(fixtures)Получить статистику по мачту.Необходим id матча.# Статистика матча
data = football.statistics("match_id")
print(data)Получить коеффициенты на матчНеобходим id матча.data = football.odds("match_id")
print(data)Получить последние/очные игры командНеобходим id матча.data = football.h2h("match_id")
print(data)Прикрепить статистику к live матчам.Для матчей у которых имеется статистика к этим объектам добавится их статистика.
Работа в многопоточном режиме.
Необходимо передать в метод список live матчей.fixtures = football.add_statistics(fixtures)ЦелиРеализовать интерфейс к live событиям по теннису.Реализовать интерфейс к live событиям по баскетболу.
Package: digital-static
digital_staticDigital Static / Snow with Python 3 and cursesHow to installpip install digital_staticTo RundstaticCommandsQorq= To quitb= Toggle black and white modeC= Switch to color modec= Toggle cycle color modea= Toggle enable additive moder,t,y,u,i,oto add and remove colorsd= Reset to default settings0 to 9= Delay Speedshift 1 to 5= Cycle color delay when inn cycle color model= Clear the screen, wait 2 seconds and start again.f= Freeze the screen untilfis pressed again.ColorsChange colors while runningr= Redt= Greeny= Blueu= Yellowi= Magentao= CyanScreen Shots
Package: digital-tickler
Digital tickler 📅  ✨  🗂Monitors a directory containing YYYY-MM-DD-files-or-foldersMoves the files or folders to your inbox (e.g., the Desktop) when you start the computer.Can also use template directories to create and activate material on a regular basis.Think aboutActivate my flight-tickets for printing two days before the flight.Activate a PDF for the meeting on Tuesday.Activate project x in two weeks.Activate template y every Friday for a planning-and-review session (or Getting-Things-Done).Want to make decisions on new commitments not on an ad-hoc basis but when you think about the broader picture, i.e., in a weekly or monthly session? Just move them to the next weekly or monthly folder that is automatically created and activated.FeaturesCross-platform, tested on Ubuntu.Based on flat files, no additional database. Easy to backup and restore.Supports symlinks to avoid moving large files or folders (and triggering long sync-processes of Dropbox).Automatically creates and updates bookmarks in Nautilus (Linux) if regular template-directories are provided.Installationpip install digital-ticklerSetupAdd 'digital_tickler' or start_tickler.sh to system-autostart.When the script is called for the first time:Provide a tickler-path. This is a directory in which files or folders starting with YYYY-MM-DD- are stored. These files will be automatically moved to the inbox-path when the script is executed on YYYY-MM-DD (or any time after this date).Provide an inbox-path. This is the directory to which the files and folders are transferred on YYYY-MM-DD. Choose a directory that you check regularly, such as the Desktop.Optional: provide paths for template_weekly_path, template_monthly_path, template_semester_path, template_annual_path. The script will copy the template directories to the tickler-path on a regular basis, e.g., for regular review-and-planning sessions.Similar Projectshttps://github.com/golliher/dg-tickler-file/blob/master/daily_tickler.pyLicenseMIT License.History0.0.2 (2021-09-35)Use versioneer.0.0.1 (2021-09-23)First release on PyPI.
Package: digital-twin-platform
A sample Python projectA sample project that exists as an aid to thePython Packaging User
Guide'sTutorial on Packaging and Distributing
Projects.This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.The source for this project is available here.Most of the configuration for a Python project is done in thesetup.pyfile,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.This is the README file for the project.The file should use UTF-8 encoding and can be written usingreStructuredTextormarkdownwith the appropriatekey set. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.
Package: digital-twin-tooling
A tool for managing digital twin simulationsThis project aims to provide a structured approach to working with digital twins and support the analysis that one might want to carry out in this context.The project provides a pipeline like approach for structuring digital twin simulations. It structures a simulation as a number of participating tasks:data providers: Providing data to the simulation by connecting to external sources and translating the data into a simulation compatible format.simulators: Providing the ability to simulate models (such as FMI models using maestro)The tool is provided as a module and can be used like:python-m"digital_twin_tooling"project-project<pathtoprojectfile>.yml\-show-run1-fmus<pathtofoldercontaningthefmus>Show status of launchers in job folderpython-m"digital_twin_tooling"launcher-workjobs/e1b27ef9-2699-474d-bba5-c23fdcf31821/-s
Package: digital-unit
包 digital_unit 1.6（language：Chinese）这是一个有关数据的单位的包,如长度、面积、体积等，可以用它来表示一个数量的单位
使用示例fromdigital_unitimportCentiMeter,MilliMeter,Numberif__name__=='__main__':_1cm=Number(1.0,CentiMeter())# Create the data. Don't forget the parentheses!print(_1cm)_1cm.change_unit(MilliMeter())# Changes to the unit. Don't forget the parentheses!print(_1cm)使用Number(NUMBER, UNIT())来创建实例，使用XXX.change_unit(NEWUNIT())来修改单位。1.6版本新增Temperature(温度系列)1.6版本修正无package digital_unit 1.6(language: English)This isa unit of datarelated to packages, such as length, area, volume, etc., it can be used to represent a number of units
Use the samplefromdigital_unitimportCentiMeter,MilliMeter,Numberif__name__=="__main__":_1cm=Number(1.0,CentiMeter())# Create the data. Don 't forget the parentheses.print(_1cm)_1cm.Change_unit(MilliMeter())#Changes to the unit. Don 't forget the parentheses.print(_1cm)UsingNumber(NUBER, UNIT())to create an instance, useXXX.Change_unit(NEWUNIT ())to modify the UNITAdded in version 1.6Temperature (Temperature series)Corrected in version 1.6None