Saravanan666/pypi-org huggingface dataset:
Package: pyomniunwarp
OverviewThis is a python package using Scaramuzza model to rectify omnidirectional imagesPrerequisite$ pip install opencv-pythonInstallation$ pip install pyomniunwarpParametersPrepare the parameters as the following formatkwargs = {
    "mode": "cuboid",   # cuboid or cylinder
    "version": "0.2.2",  # https://pypi.org/project/pyomniunwarp/
    "calib_results_path": calib_results_path,
    "FOV": 90,
    "output_height": 365
}Region of InterestRegionDirectionAFrontBRightCBackDLeftEFull(B+C+D+A)FFront-LeftGFront-RightVersion SpecificationIn version 0.2.1, default ROI is (A, D, C, B, E)In version 0.2.2 and later, default ROI is (A, D, C, B, E, F, G)UsageTo run the example in pythonimport pyomniunwarp.example

pyomniunwarp.example.run_example()To use the calibrated model in python, preparecalib_results.txtfromOCamCalib toolbox.Editcalib_results.txtas the following exampleherePutcalib_results.txtunder the same folder with the python scriptThen in python, import asfrom pyomniunwarp import OmniUnwarp

unwarper = OmniUnwarp(**kwargs)Initialize will take several seconds. After the initializtion, perform unwarping byimgs, masks, labels = unwarper.rectify(original_img)
Package: pyomodoro
PyomodoroPyomodoro is an easy to use CLI for thePomodoro Techniquewritten in Python.InstallationThe best way to install Pyomodoro is to use Pip.pipinstallpyomodoroUsageFor convenience, bothpomandpyomodoroare available as commands. Pyomodoro operates in your terminal, but if a notification tool is available, Pyomodoro will also send messages that way.# Display help textpom--help
pyomodoro--help# Begin a session with the standard Francesco Cirillo timing intervalspom# Specify a task to focus on before you begin workpom--ask-task# Adjust the timing intervals to your likingpom--pomodoro-length30--short-break-length10--long-break-length45ConfigurationThere are three ways to adjust the values that Pyomodoro uses. In order of precedence:Flags at run timeEnvironment variablesYAML config fileFlagEnv VarYAMLDefault--ask-task, -tPOM_ASK_TASKask_taskFalse--config-file, -fPOM_CONFIG_FILE~/.pyomodoro--dry-run, -ddry_runFalse--language, -lPOM_LANGUAGElanguage--long-break-length, -lbPOM_LONG_BREAK_LENGTHlong_break_length20--pomodoro-length, -pPOM_POMODORO_LENGTHpomodoro_length25--short-break-length, -sbPOM_SHORT_BREAK_LENGTHshort_break_length5ContributingMerge requests are welcome after opening an issue first. Please make sure to update tests as appropriate.DevelopmentSince part of Pyomodoro's key feature relies on an accessible notification system, testing that necessitates installing it locally:pipinstall-e.It is also useful to double check how Pyomodoro functions in a containerized environment, as the required tests are run in Docker containers:dockerrun-it-v${pwd}:/apppythonbashcd/app
pipinstalltox
tox-epy
Package: pyomorfi
PyOmorfiThis is a pure-python implementation of Omorfi, a free and open source morphological analyzer for Finnish.Most of the files have been copied from theOmorfi repository.
HFST has been replaced with KFST, a pure-python implementation of finite state transducers.This package includes a pre-built transducer, so you don't need to build the transducer yourself.
For most part, this library should be a drop-in replacement for Omorfi.InstallationPyomorfi is available on PyPI and can be installed with pip:pipinstallpyomorfiUsagePyOmorfi has the same API as Omorfi, so you can use it in the same way as Omorfi.
Please refer to theOmorfi documentationfor more information.
Just importpyomorfi.omorfiinstead ofomorfi.frompyomorfi.omorfiimportOmorfiomorfi=Omorfi()omorfi.load_analyser("omorfi.analyse.kfst")analyses=omorfi.analyse("kissa")There is also a function that loads the built-in transducers and returns anOmorfiobject:frompyomorfiimportload_omorfiomorfi=load_omorfi()analyses=omorfi.analyse("kissa")DevelopmentThis package is in very early stages of its development and there are probably many bugs.
Please report them if you find them!If you want to contribute code, feel free to open pull requests.LicensePyOmorfi is licensed under the GNU GPL version 3. See the LICENSE file for details.
Package: pyomovi
pyomoviA Custom Jupyter Widget LibraryInstallationYou can install usingpip:pipinstallpyomoviIf you are using Jupyter Notebook 5.2 or earlier, you may also need to enable
the nbextension:jupyternbextensionenable--py[--sys-prefix|--user|--system]pyomoviTo create a visualizer window use the following codeimportpyomovivisualizer=pyomovi.Visualizer()visualizerThen in another cell (there is a bug, so the above must be executed 500ms before the next code) run e.g.import numpy as np
positions = 100 * np.random.rand(1000000, 3)
visualizer.particle_positions = positionsto visualize 1 million atoms at random positions. If you want custom coloring and radii, you canimport numpy as np
visualizer.particle_positions = np.asarray([[0, 0, 0], [0,2,0], [0,2,2]])
visualizer.particle_colors = np.asarray([[255, 0, 0], [255, 255, 0], [255,255,255]]) # RGB
visualizer.particle_radii = np.asarray([1.0, 2.0, 3.0])You can also set colors and radii using short names of atomsimport numpy as np
visualizer.particle_positions = np.asarray([[0, 0, 0], [0,2,0], [0,2,2]])
visualizer.set_atom_types(['O', 'H', 'H'])Development InstallationCreate a dev environment:condacreate-npyomovi-dev-cconda-forgenodejsyarnpythonjupyterlab
condaactivatepyomovi-devInstall the python. This will also build the TS package.pipinstall-e".[test, examples]"When developing your extensions, you need to manually enable your extensions with the
notebook / lab frontend. For lab, this is done by the command:jupyter labextension develop --overwrite .
yarn run buildFor classic notebook, you need to run:jupyter nbextension install --sys-prefix --symlink --overwrite --py pyomovi
jupyter nbextension enable --sys-prefix --py pyomoviNote that the--symlinkflag doesn't work on Windows, so you will here have to run
theinstallcommand every time that you rebuild your extension. For certain installations
you might also need another flag instead of--sys-prefix, but we won't cover the meaning
of those flags here.How to see your changesTypescript:If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different
terminals to watch for changes in the extension's source and automatically rebuild the widget.# Watch the source directory in one terminal, automatically rebuilding when neededyarnrunwatch# Run JupyterLab in another terminaljupyterlabAfter a change wait for the build to finish and then refresh your browser and the changes should take effect.Python:If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.Updating the versionTo update the version, install tbump and use it to bump the version.
By default it will also create a tag.pipinstalltbump
tbump<new-version>
Package: pyomp
PyOMPThis is a fork of the abandoned OMPEval project, an extremely fast Texas Hold'em hand evaluator written by zekyll in
C++, now wrapped in Python.Installationpip install pyompNote: I've only built this for Python 3.11 for now.Development EnvironmentBuild the needed libraries using cmake.Build the python wrapper using setup.pypythonsetup.pybuild_ext--inplaceExamplefrompyompimportEquityCalculatorec=EquityCalculator()ec.run(['2c8h','2s8d','66+','ako','7ko+','aa'],'jctcad')fori,equityinenumerate(ec.equity):print(f'Player{i}:{equity:.2%}')
Package: pyOMT5
pyOMT5 - Python Open MetaTrader 5Python module to request data from MetaTrader 5To get started:install visual c++ 2010 redistributable (x86 or x64 according with your os)install visual c++ 2015 redistributable (x86 or x64 according with your os)create a new directory called pyOMT5 inside your MT5 Scrips folder. Ex: C:\Users\MyUser\AppData\Roaming\MetaQuotes\Terminal\83D4764E0403A8685E84D6FCAB361AAB\MQL5\Scripts\pyOMT5download DLL files according your OS (32|64 Bits) fromZMQto the new direcotry called pyOMT5copy the files pyOMT5Server.mq5 and pyOMT5Server.ex5 from util directory called pyOMT5 to this new directory and compile it using MetaEditor if necessary.run pyOMT5Server as a expert. Remember to have enabled auto trading option and allow DLLs imports when asked.This module provides data in pandas representation because we believe that whether in finance, scientific fields, or data science, a familiarity with Pandas is known by everyone.This library uses ZeroMQ and create a internal tcp server on MetaTrader, with the purpose of exchange data with MT5.InstallTo install the package use:pipinstallpyOMT5If you want to install from source, then use:gitclonehttps://github.com/paulorodriguesxv/pyOMT5.git
pipinstall-epyOMT5Usagefromdatetimeimportdatetimefrompyomt5.apiimportMT5TimeFramefrompyomt5.stockimportStockPriceHistoryc=StockPriceHistory()start_date=datetime(2019,1,1)end_date=datetime(2019,5,2)data=c.get_price_from(symbol='PETR4',from_date=start_date,to_date=end_date,timeframe=MT5TimeFrame.Daily)print(data)start_date=datetime(2019,1,2,10,0)end_date=datetime(2019,1,2,12,0,0)data=c.get_price_from(symbol='PETR4',from_date=start_date,to_date=end_date,timeframe=MT5TimeFrame.M5)print(data)ContributingContributing is always welcome, so, feel free to getting in touch and contribute.TODOsAdd test for library.Create sphinx docsCreate travisExtend ApiStar if you like it.If you like or use this project, consider showing your support by starring it.
Package: pyoncat
Welcome to PyONCat, a Python client designed to facilitate interaction with the ONCat API.IntroductionONCatis a data cataloging system that assists scientists and researchers in managing and navigating their data. It aggregates metadata about data, experiments and users from various systems, offering a convenient and manageable way to access neutron data and associated information.Thepyoncatpackage serves as a Python client to more easily interact with the ONCat API.InstallationRequirementsPython version:>=2.6, !=3.0.*, !=3.1.*, !=3.2.*, <4Python packages:requestsOptional packages for authenticated API access:oauthlib,requests-oauthlibInstalling with pipFor basic unauthenticated installation, use the following command:pipinstallpyoncatTo install the package with support for the authenticated version of the API, use the following command:pipinstallpyoncatoauthlibrequests-oauthlibInstalling with CondaA Conda package will be available soon as an alternative installation method.UsageAuthenticating with the APITo use the authenticated version of the API, you need to obtain credentials from an ONCat administrator. Please contact ONCat Support atoncat-support@ornl.govto request credentials.ExamplesFor usage examples, please refer to the API documentation atoncat.ornl.govas well as the iPython Notebook tutorial available at thislink.Getting HelpIf you encounter any issues or require assistance with thepyoncatpackage, please reach out to the ONCat Support atoncat-support@ornl.gov.ResourcesOfficial DocumentationiPython Notebook TutorialThank you for using PyONCat!
Package: pyonce
pyonceRun code once! -- or once in a while...defonce(every:int=0,key:Any=None)->boolExampleimportpyoncedefupdate():ifpyonce.once(key='ONCE-001'):print('global unique key')ifpyonce.once():print('this is called from update')ifpyonce.once(every=5):print('update() / 5')foriinrange(10):ifpyonce.once(every=2):print(f'hello{i}')update()update()outputhello 0
global unique key
this is called from update
update() / 5
this is called from update
update() / 5
hello 2
hello 4
update() / 5
update() / 5
hello 6
hello 8Theonce()function relies on the traceback to derive the key.
A unique key corresponds to a unique state which is a simple counter.
When the counter hits zero the return value isTrue.
The first call for a key is alwaysTrue.Do not use it in production, such magic is pure evil.
Package: pyoncoprint
PyOncoPrintDraw OncoPrint using Python. Check outexample.ipynbfor basic usage.An example output:Install$pipinstallpyoncoprintRequirementsmatplotlibnumpypandas (to parse pandas dataframe)LicenseBSD 2-Clause LicenseCopyright (c) 2020, Jeongbin Park
All rights reserved.Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS”
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Package: pyonear
Pyonearpyonearis a Python binding to the NEAR Rust API crates. It provides
fast and robust wrappers for building, signing and (de)serializing transactions.
The wrapped types come from thenear-primitives,near-cryptoandnear-vm-errorscrates.Installationpip install pyonearExample usage>>>frompyonear.cryptoimportInMemorySigner,KeyType>>>frompyonear.account_idimportAccountId>>>frompyonear.crypto_hashimportCryptoHash>>>frompyonear.transactionimportTransaction,TransferAction>>>signer=InMemorySigner.from_random(AccountId("alice.near"),KeyType.ED25519)>>>signer_id=AccountId("alice.near")>>>signer=InMemorySigner.from_random(signer_id,KeyType.ED25519)>>>public_key=signer.public_key>>>nonce=0>>>receiver_id=AccountId("bob.near")>>>block_hash=CryptoHash.default()# replace with a real blockhash>>>actions=[TransferAction(1_000_000)]>>>transaction=Transaction(signer_id,public_key,nonce,receiver_id,block_hash,actions).sign(signer)>>>transaction.to_base64()'CgAAAGFsaWNlLm5lYXIA++M56uPzUi8ezkHqJBLjc7ZCzJk88zoIpF5XkjUM13kAAAAAAAAAAAgAAABib2IubmVhcgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAANAQg8AAAAAAAAAAAAAAAAAALK42W7t/vpUmDAgtChTUWEVvSE3cQZWRla8spN6KfNv9fWn16klROeblzH480b0a+NSL16YfnvWLnd2C9KLTQk='DevelopmentPre-requisites: Rust >= 1.65, Python >= 3.7, Poetry >= 1.1.14Stepspoetry install(one time only)poetry shellmaturin developpytestmake lint
Package: pyonedesk
PyOneDesk for OneDrive配套纯 api 服务器CLI 命令行式程序Chrome 扩展(todo)网站管理后台（管理OneDrive账号）网站前端（文件选择器）普通用户通过pip安装pyonedesk即可pip3 install pyonedesk专业用户cd ./webpack && npm run build生成网页数据cd ../pyonedesk/ && python3 main.py server --port 23333启动网页服务，更多使用方法请看使用介绍基于python 3.7clickdiskcache更多库请看requirements.txtvuevue-clielement-ui使用chrome扩展将会在Google Chrome扩展商店上架(todo)启动网页服务器：pyonedesk server --port 23333 --password 123port 端口password 管理后台的登录密码，sha256加密后存放命令行 所有命令：列出一些信息pyonedesk info关于一些运作数据，例如存储数据的目录路径和这个目录的容量信息等等本地账号的相关操作命令行不提供添加OneDrive账号功能，因为使用网页方式添加更加方便假设有 A 和 B 两个账号，没有设置默认账号列出所有账号的别名pyonedesk cli accounts输出信息[ A, B ]将别名为A的账号设置为默认账号pyonedesk cli --select A default重要信息：什么是默认账号？再次列出所有账号pyonedesk cli accounts输出信息[ *A, B ]带星号的是默认账号删除账号pyonedesk cli --select A输入y按回车确认删除后就删了OneDrive文件级操作将默认账号的目录定位到/ABC目录，*会影响相同账号的后续命令pyonedesk cli cd /ABC将B账号的目录定位到/ABC目录，*会影响相同账号的后续命令pyonedesk cli cd /ABC列出 /ABC 目录的所有内容 *受 cd 命令影响pyonedesk cli lspyonedesk cli upload ./文本.txt将本地文件【文本.txt】上传到默认账号的 /ABC 目录，受 cd 命令影响pyonedesk cli upload ./文本.txt /XYZ将本地文件【文本.txt】上传到默认账号的 /XYZ 根目录，忽略 cd 命令的影响假设有两个账号分别为A和B，A为默认账号，用上传文件操作举例：pyonedesk cli upload ./视频.mp4将本地的视频.mp4上传到A的根目录，因为A为默认账号，可以忽略--select选择账号参数pyonedesk cli --select B upload ./视频.mp4 /将本地的视频.mp4文件上传到B账号的OneDrive根目录默认账号将一个账号设置为默认账号后，可以快速操作这个账号用一堆命令来举例：先查看账号A的[目录A1]、[目录A2]的文件夹内容再查看账号B的[目录B1]文件夹内容没有默认账号的情况下：pyonedesk cli --select A cd /目录A1pyonedesk cli --select A lspyonedesk cli --select A cd /目录A2pyonedesk cli --select A lspyonedesk cli --select B cd /目录B1pyonedesk cli --select B ls将账号A设置为默认账号的情况下：pyonedesk cli --select A defaultpyonedesk cli cd /目录A1pyonedesk cli lspyonedesk cli cd /目录A2pyonedesk cli lspyonedesk cli --select B cd /目录B1pyonedesk cli --select B ls省了很多次输入 -s / --select 参数，效果显著
Package: pyonedrive
Provides minimalist OneDrive API using requestsGET methods:user’s metadatauser’s profile pictureroot folderalbumsshared itemsfolder contentfolder content (with generator)changes since specified date (with generator)most recentusage quotashare links (read only, read-write, embeddable)previewscommentscomments (with generator)tagstags (with generator)downloadsDELETE method:delete an item by its IDMore information on the project homepage
Package: pyoneering
Decorators for deprecating and refactoringFree software: Apache Software License 2.0Installationpip install pyoneeringDocumentationhttps://python-pyoneering.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.1.0 (2018-10-12)First release on PyPI.
Package: pyoneer-vsx
pyoneer_vsxThis is a Python package for interfacing with Pioneer receivers, primarily the VSX series, via telnet commands as outlined inthis specification.This package was primarily created for use withHome Assistantto support receivers that do not work with the current implementation, as well as to extract all of the Pioneer-specific code out of Home Assistant, and to swtich to using a persistent connection viaasyncio.This package is based onpython-anthemavwhich provides similar functionality for Anthem receivers.Supported functionalityCurrently this supports:Power: on/offVolume: 0-100%Mute: on/offInput selectionThe spec outlines more functionality, including listening modes, tone control, multi-zone power/input selection, etc, however for my purposes all I needed were the basics above.Update eventsBecause we keep a persistent connection to the receiver, we receive events every time a change is made to the receiver, either via a command we sent, or by a person physically interacting with the controls on the device itself.For this reason we only, and always, update our internal state when we get these events, not when we initially send a command to the receiver.SetupPackage installationYou can either install the package usingpip:pip3 install pyoneer-vsxor clone the repo and install/run it from the source.ReceiverConnect your receiver to your network and ensure it has a static IP address either via theSystem Setup > Network Setupmenu on the receiver itself, or by assigning it a fixed address on your router.Also make sure you enable theNetwork Standbyfeature (also found in theNetwork Setupmenu) so we can still connect to the receiver even when it is powered off.TestingI have exclusively tested this with a VSX-822 and a VSX-1121, but any other Pioneer VSX series receiver (and possibly others) should work.If download the code you can run the following command, substituting in the IP and port as needed:python3 test_harness.py --host IP_ADDRESS --port PORTThis will attempt to connect to the receiver, turn it on, select a few different inputs, then turn it off, all with very verbose logging. At the end, your receiver should be off and when you turn it back on it should be set to the Blu-ray/BD input.CaveatsDue to the persistent connection described above, using this package will prevent any other applications/services, such as iOS or Android control apps, from connecting to the receiver.
Package: pyOneFichierClient
This is a library designed for easy interaction with the1fichier APIUsageIf you’re interested in how to use it in your own project you can have a look attest_cli.pywhich also functions as a nice executable module…Oh cool! You found us on the Python Package Index (PyPI)! Loving this!
To install with pip:pip install pyOneFichierClientSpread the word! On Twitter and all the other shitty places on this thing we like calling internet.Just need to be in the parent dir of the entire project and runpython -m pyOneFichierClientand the interactive client will launch…If you want to know what you can already do with this version of the API, you can also check outAPI Endpoints in TODO.mdRecomendationDo not update on Friday - Sunday because that are times when I am mainly working on this…
if you do beware there can be (not that it’s planned) so called forced updates which could screw up your updating…
I will try to leave a message in the README (right here) whenever I do not plan on working on the API and it’s okay to update it…Until Wednesday, January 3rd 2019 it’s definetly NOT okay to update it because it will be updated quite a few times until then… after.. probably not so much for a while…
Package: pyonelab
APythonpackage that just adds compiled versions
of the open source softwareGmsh(geometry, mesh
generation and postprocessing) andGetDP(finite
element solver).InstallationFor Linux only, viaPyPi:pip install pyonelabFor OSX and Windows (and also alternatively for Linux) install from this git repository:pip install git+https://github.com/benvial/pyonelab.git
Package: py-oneliner
py_onelinerA Library build with a propose, single line console print across project to avoid unnecessary console prints.
The Library has the capability to handle all print statements in one line across the project.When there are multiple for loops iterating over a list of task and those task,
again run have sub task which again have to be looped over, Therefore knowing their status of each loop during execution
is essential, or knowing where the code has reached for that matter, keeping all that in mind the library is design,
to just display a sequence of execution in one line console print, so user is aware  about the progress.Installationpip install py-onelinerUsageOne Line Printfrompy_onelinerimportone_linerone_liner.one_line(tag="TEST",tag_data="TESTING PRINT")One Line Print with Resetto_reset_datawill reset the fused print statement when specifiedtagis encounteredfrompy_onelinerimportone_linerone_liner.one_line(tag="TEST",tag_data="TESTING PRINT",to_reset_data=True)ExampleWithOut Colorfrompy_onelinerimportone_linerStages=["Start","Middle","End"]forsinStages:one_liner.one_line(tag="TEST",tag_data="TESTING PRINT",to_reset_data=True)fori,j1inenumerate(2*[1]):one_liner.one_line("first_loop",f"{i+1}/{2}")fori,j1inenumerate(3*[1]):one_liner.one_line("second_loop",f"{i+1}/{3}")forx,yinenumerate(2*[1]):one_liner.one_line("second_loop_nested_1",f"{x+1}/{2}",)With Colorfrompy_onelinerimportone_linerStages=["Start","Middle","End"]forsinStages:one_liner.one_line(tag="TEST",tag_data="TESTING PRINT",to_reset_data=True)fori,j1inenumerate(2*[1]):one_liner.one_line("first_loop",f"{i+1}/{2}",tag_color="red",tag_data_color="green")fori,j1inenumerate(3*[1]):one_liner.one_line("second_loop",f"{i+1}/{3}",tag_color="yellow",tag_data_color="grey")forx,yinenumerate(2*[1]):one_liner.one_line("second_loop_nested_1",f"{x+1}/{2}",tag_color="magenta",tag_data_color="cyan")
Package: pyOneNote
pyOneNotepyOneNote is a lightweight python library to read OneNote files. The main goal of this parser is to allow cybersecurity analyst to extract useful information from OneNote files.Installing the parserInstalling the latest developmentpip install -U https://github.com/DissectMalware/pyOneNote/archive/master.zip --forceRunning the parserTo dump all embedded file in current directorypyonenote -f example.oneTo dump all embedded file in example.one into output_dirpyonenote -f example.one -o output_dirTo dump all embedded file in example.one into output_dir and add .bin to the end of each filenamepyonenote -f example.one -o output_dir -e binCommand Lineusage: pyonenote [-h] -f FILE [-o OUTPUT_DIR] [-e EXTENSION]Note: pyOneNote is under active developmentHow to ContributeIf you found a bug or would like to suggest an improvement, please create a new issue on theissues page.Feel free to contribute to the project forking the project and submitting a pull request.You can reachme (@DissectMlaware) on Twittervia a direct message.