Saravanan666/pypi-org huggingface dataset:
Package: piano-transcription-inference
Piano transcription inferenceThis toolbox is a piano transcription inference package that can be easily installed. Users can transcribe their favorite piano recordings to MIDI files after installation. To see how the piano transcription system is trained, please visit:https://github.com/bytedance/piano_transcription.DemosHere is a demo of our piano transcription system:https://www.youtube.com/watch?v=5U-WL0QvKCgInstallationThe piano transcription system is developed with Python 3.7 and PyTorch 1.4.0 (Should work with other versions, but not fully tested).
Install PyTorch followinghttps://pytorch.org/. Users should haveffmpeginstalled to transcribe mp3 files.pip install piano_transcription_inferenceInstallation is finished!UsageWant to try it out but don't want to install anything? We have set up aGoogle Colab.python3 example.py --audio_path='resources/cut_liszt.mp3' --output_midi_path='cut_liszt.mid' --cudaThis will download the pretrained model fromhttps://zenodo.org/record/4034264.Users could also execute the inference code line by line:from piano_transcription_inference import PianoTranscription, sample_rate, load_audio

# Load audio
(audio, _) = load_audio(audio_path, sr=sample_rate, mono=True)

# Transcriptor
transcriptor = PianoTranscription(device='cuda', checkpoint_path=None)  # device: 'cuda' | 'cpu'

# Transcribe and write out to MIDI file
transcribed_dict = transcriptor.transcribe(audio, 'cut_liszt.mid')Visualization of piano transcriptionDemo.Lang Lang: Franz Liszt - Love Dream (Liebestraum)[audio][transcribed_midi]FAQsThis repo support Linux and Mac. Windows has not been tested.If users met "audio.exceptions.NoBackendError", then check if ffmpeg is installed.If users met the problem of "Killed". This is caused by there are not sufficient memory.ApplicationsWe have built a large-scale classical piano MIDI datasethttps://github.com/bytedance/GiantMIDI-Pianousing our piano transcription system.Cite[1] High-resolution Piano Transcription with Pedals by Regressing Onsets and Offsets Times, [To appear], 2020
Package: pianoviewer
Piano ViewerDisplays key presses from MIDI.ScreenshotInstallationInstall the package withpip install pianoviewer.UsageGet a list of available MIDI devicespianoviewer -P.Runpianoviewer -p <YOUR MIDI DEVICE ID>(this time the -p is small).If you want to adjust the settings, runpianoviewer -hto see what options are available.
Package: piano-visualizer
piano_visualizerA python library that allows you to export a video in which a piano is playing the music you give it.FeaturesExport a video of a custom midi fileEasy interfaceMulti-core exportMultiple piano supportMultiple midi supportAutomatically generate audio for midi filesHow topiano_visualizerwas built with the intent to for it to be simple to use. You can render a piano video with simply 4 lines of code!There are 2 main classes:PianoandVideoPianotakes care of the piano rendering and the midi file parsingVideotakes care of video management (fps, resolution) and exportingINSTALLpip install piano_visualizerWorking inexample.py# Import the library after you have installed itimportpiano_visualizer# Create a piano with a midi file(s)piano=piano_visualizer.Piano(["/path/to/your/midi/file.mid"])# Create a video with resolution/fpsvideo=piano_visualizer.Video((1920,1080),30)# Add piano to videovideo.add_piano(piano)# Export video on multiple cores (1 for single)video.export("your/export/path.mp4",num_cores=6)# You can add music too! (although it is sometimes offset from video)# video.export("your/export/path.mp4", num_cores=6, music=True)# Progress bars should show up# Once your video is exported it will be at the path you specified!NOTE: For music to work, you needfluidsynth
Package: pianum
InstallpipinstallpianumUseimportpianumaspnfrompianum.structimportInterval,Scale,Chordroot=3interval=pn.interval(root,Interval.M3)print(interval)scale=pn.scale(root,Scale.Major)print(scale)chord=pn.chord(root,Chord.Major7)print(chord)inversion=pn.invert_up(chord)print(inversion)notes=pn.ints_to_notes(inversion)print(notes)[3,7][3,5,7,8,10,12,14][3,7,10,14][7,10,14,15]['E','G','B','C']
Package: pianyuan
English安装pip3 install pianyuan或者git clone https://github.com/ptrtonull-workshop/pianyuan
cd pianyuan/
python setup.py install爬取你可以使用以下命令，把此处的电影到数据库里pianyuan-Gstartendhostusernamepassword其中：-G：代表get，获取信息start：爬取的开始页，比如start等于3的时候对应的网站是此处end：爬取的结束页，比如end等于3的时候对应的网站是此处host：数据库的地址username：数据库用户的用户名password：数据库用户的密码如果你的数据库账号没有密码，即密码为空，那你可以执行下面的命令来达到相同的效果pianyuan-gstartendhostusername此外，你还可以使用以下命令来查看数据库中的数据条数pianyuan -M number localhost root root当然，如果你要看更详细的条目，请直接登录数据库查看开发在你开发时，我们为你准备了协助性的命令脚本，格式为：pianyuan-Saction其中：-S：代表shell，标记此条语句执行的是一些协助性的命令脚本action：代表要执行的动作，目前支持的动作有：initbeautifytest当你得到本项目的源码时，你第一步要做的就是安装项目所需要的初始化文件，你可以使用pianyuan-Sinit当你完成你的代码并且验证了要达到的功能后，你可以使用下面的命令来优化格式pianyuan -S beautify当你要往仓库上传代码时，为了让你的CI能通过你的代码，你可以使用下面的命令查看代码中的格式错误，以确保你的代码符合规范。符合规范的情况为此命令结束后没有返回信息。pianyuan-Stest其它如何参与本项目问题的开端直接在本仓库创建暂时分支，通过pull request 来合并代码fork 本项目，通过pull request来合并代码提issue，由仓库管理员来改进创建分支如果你是仓库管理员，拥有直接读写仓库的权限，那么当你有一个改进时，请在issue提供一个详细的记录，你可以标记这是一个bug或者feature，并写下具体的描述。克隆或更新仓库代码执行git clone https://github.com/ptrtonull-workshop/PianYuan.git
cd ./pianyuan来克隆本仓库的dev分支代码，通常情况下，这个分支的代码是最新的，当然，如果你以前已经克隆过了，那就请您更新一次您的代码，使您的代码保持最新。如果您第一次下载代码，则意味着您很可能没有本项目需要的相关包，请执行pianyuan -S init来初始化项目来获得本项目需要的包新建bug分支在GitHubissue上提交一个issue, 记录下bug的情况，记下issue的号码，例如您新建了一个编号为#1的issue:
使用git branch bug#1
git checkout bug#1从dev分支创立并切换到一个bug分支来修复这个bug，#后的号码为issue的号码，在这个分支中进行bug的修复。检查代码在本地文件夹中执行pianyuan-G11hostnameusernamepassword后，程序会自动写入数据到数据库，来测试你的代码的功能是否正常其中hostname:数据库地址username:用户名password:用户名密码，为空的时候可以不填在本地项目文件夹中执行pianyuan -S beautify
pianyuan -S test来规范你的python代码，以符合flake8的规范。再使用flake8确认main.py中的语法错误和书写规范，如有不符合flake规范，提交的代码将无法通过CI的检查
在这条语句中，E501的意思是：你最多只能在一行中写79个字符，这个规定过于苛刻，故我们将它删除了E501: E501 line too long (81 > 79 characters)提交修复完毕后，commit此次修改
完毕后，执行git push origin bug#1来推送该分支到Github。切换到Github，我们再将bug#1通过pull request与dev分支合并，在这个过程中，我们的CI会检查代码。等待合并完成之后，我们在本地执行git push origin :bug#1来远程删除在Github上的多余的分支Q&A哪些操作需要直接在Github上提交？README文档需要更新CI配置文件需要更新哪些情况需要直接同步到master分支？有重大更新，可能是一天积累的；涉及到CI的配置文件的；紧急的BUG
Package: piapi
piapi module stands for (Cisco) Prime Infrastructure API.
The module implements the PIAPI class which helps interacting with the Cisco Prime Infrastructure REST API using
simple methods that can either request data or request an action.The Cisco Prime Infrastructure API is a REST API which exposes several resources that can be of 2 types:Data resources: expose some data collected by the software which can be retrieved (e.g: client summary).Service resources: expose some service that can modify the configuration of the software (e.g: modify/update an Access Point)The REST API is applying request rate limiting to avoid server’s overloading. To bypass this limitation, especially
when requesting data resources, the PIAPI uses multithreading requests (grequests library) with an hold time between
chunk of requests. Please check the documentation to knowns more about rate limiting.Also note that the piapi module only works with the JSON structure exposed by the REST API. The module doesn’t support
the default XML structure.Please check your Cisco Prime REST API available athttps://{server-name}/webacs/api/v1/test modification
Package: piapy
PiapyPython wrapper around the command line interface for The Private Internet Access Desktop Client. Intended to facilitate the operation of the PIA client from within Python.Python 3.7, no additional dependencies.InstallationUse the package managerpipto installpiapy.pipinstallpiapyUsagePIA Desktop client must be installed.Commandpiactlmust be available from your terminal. Try runningpiactl --version. Iif you get something like2.0.1+04518you are good to go.If it does not run, please checkPIA Desktop: Command Line Interfacedocumentation.PIA client must be running to use the connect method.Available Methodsregions()Returns list of strings with available servers.i.e.:['us-florida', 'us-atlanta', 'us-houston', 'us-washington-dc', 'us-east', 'us-chicago', 'us-new-york-city', 'us-texas', 'us-west', ...]region()Returns string of current selected server name.i.e.'us-houston'set_region(server='auto')Cause the client to connect to selected server next time it connects. If client is already connected will disconnect and connect to new selected server.server (type: str)'auto': use client auto select feature to set server with least latency.'random': set a random server from the available list.'[server name]': set the server to a specific name, must be in the available list.connect(verbose=False, timeout=20)Cause the client to connectverbose (type: bool) cause to display connecting status in stdouttimeout (type: int) will disconnect if connection not possible before timeoutdisconnect()Cause client to disconnectip()Returns the current VPN IP address, if connected and the address is knownstatus()Returns client conection status.Disconnected, Connecting, StillConnecting, Connected, Interrupted, Reconnecting, StillReconnecting, DisconnectingToReconnect, Disconnectingreset_settings()Resets settings to the defaults. As per the documentation this only resets daemon settings, no GUI settings.set_debug_logging(value=False)Enable client debug logging.ExamplefrompiapyimportPiaVpn# Instantiatevpn=PiaVpn()# Get connection statusvpn.status()# equivalent to `piactl get connectionstate`# Will connect to server, displaying status in stdoutvpn.connect(verbose=True,timeout=20)# Disconnectvpn.disconnect()ContributingPull requests are welcome. Please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.About this softwareThepiapysoftware is a personal project. I have no prior or existing relationship withPrivate Internet AccessIf you have any information regarding its software, you can visit them:PIA VPNPIA Desktop: Command Line InterfaceLicensewithMITopen source license.
Package: piargus
PiArgusThis package provides a python wrapper aroundτ-ARGUS, a program to protect statistical tables.
This package takes care of generating all the required metadata and runs τ-ARGUS in the background to do the heavy work.For this package to work, it is required to install τ-ARGUS locally first.
It's also recommended to read theTauArgus manualto understand how it should be used.FeaturesGenerate output tables from microdata or tabledata. It is recommended to generate from microdata.Metadata can be generated automatically, although using an existing rda-file is also possible.It's possible to create hierarchies, codelists, apriori files, recode files all from code or from existing files.Basic error checking of input is done before input is supplied to argus.Feel free tocontributefor other TauArgus-features.Feedbackis welcome too.InstallingDownload and install the latest version ofτ-ARGUS.Then usepipto install piargus:$pipinstall--upgradepiargusExampleimportpandasaspdimportpiargusaspatau=pa.TauArgus(r'C:\Users\User\Programs\TauArgus4.2.0b5\TauArgus.exe')input_df=pd.read_csv('data/microdata.csv')input_data=pa.MicroData(input_df)output_table=pa.Table(['sbi','regio'],'income',safety_rule="P(10)")job=pa.Job(input_data,[output_table],directory='tau')report=tau.run(job)table_result=output_table.load_result()print(report)print(table_result)ChangeC:\Users\User\Programs\TauArgus4.2.0b5\TauArgus.exeto the location where argus is installed.
SeeExamplesfor more examples.See alsoThe following packages in R offer similar functionality:https://github.com/sdcTools/sdcTablehttps://github.com/InseeFrLab/rtauargus
Package: pias
Paintera Interactive Agglomeration Serverpiasprovides a server for interactive updates of anifty-based agglomeration model for fragments in EM segmentation (but could probably be used in other scenarios, as well). Clients provide positive (two fragments are in the same segment) and negative (two fragments should not be in the same segment) examples for edges (fragment-pairs). Random forest classifiers are trained on these examples to infer weights for all edges of neighboring fragments in amulti-cutproblem (constraints for the enforcement of positive/negative examples provided by the client is modeled via appropriate weights).InstallationThe minimum python version is3.6.Besides the packages specified insetup.py, you will need to install the following packages that are not installable via pip:niftyavailable on conda through thecpapechannelz5pyavailable on conda through theconda-forgechannelYou can install these dependencies through conda via the aforementioned channels. Otherwise, follow the build instructions on the linked github repositories.If you do not installpyzmqthroughcondamake sure thatlibzmqis installed on your system.pipinstallgit+https://github.com/saalfeldlab/piasServer Detailspyzmqis used for communication between server and client. Data should be sent as big endian. The server can be started with thepiascommand that is installed with the python package. Seepias --helpfor usage details. Once started, the server will start multiple sockets, addressed by extensions of theaddress_baseparameter:${address_base}-ping- ping the server at this address to see if it is alive (REQ/REP)${address_base}-current-solution- request current solution (REQ/REP)${address_base}-set-edge-labels- set labels for edges: (multiples of)(e1, e2, label)(REQ/REP) where label is one of{0, 1}${address_base}-update-solution- request update of current solution (REQ/REP)${address_base}-new-solution- be notified about updates of the current solution (PUB/SUB)NOTE: This scheme probably works (reliably) withipc://zmq-addresses.Socket DetailsTBD:What kind of input/output does each socket expect/provide?
Package: piasync
PIAsync: A simple, respectful management tool for Private Internet Access VPN configsPIAsyncaims to be a simple and lightweight tool that automaticaly manages configuration information in theNetworkManagerdata domain for the VPN servers operated by Private Internet Access.In addition,PIAsyncis respectful of your user and system configuration. It will never:Execute any external processesWrite anything on the filesystem itselfRequire superuser privilegesRequire native packages to be installedAll interactions with NetworkManager are performed using the latter's D-Bus API, the way it should be.How Do I Use It?InstallPIAsync(you'll need Python 3 andpip):$ pip3 install piasyncRun it:$ piasync -h
usage: piasync [-h] [-n] [-a] [-v] username cert

Maintains Network Manager connections for the Private Internet Access VPN
servers

positional arguments:
  username         Username to use for the VPN connections
  cert             Path to the PIA root CA

optional arguments:
  -h, --help       show this help message and exit
  -n, --dry-run    Do not manipulate the NetworkManager configuration
  -a, --all-users  Make the connections available to all users
  -v, --verbose    Output debug informationBut Why?Because PIA'slist of serversis quite large and setting up connections manually for each one would be tedious. There are automated solutions available, but tools that write config files without my informed consent upset me very much, so I wanted a tool that wouldnotdo that.Shout OutsPIASyncusesjeepneyfor interacting with NetworkManager over D-Bus.Therequestslibrary is used to download fresh configuration information from the PIA website.Lastly,countrynamesis used to match the names given by PIA to its servers to a country code for the purpose of injecting a cute Emoji flag in the user-visible connection name.
Package: piazza-api
piazza-apiUnofficial Client for Piazza's Internal APIUsage>>>frompiazza_apiimportPiazza>>>p=Piazza()>>>p.user_login()Email:...Password:...>>>user_profile=p.get_user_profile()>>>eece210=p.network("hl5qm84dl4t3x2")>>>eece210.get_post(100)...>>>posts=eece210.iter_all_posts(limit=10)>>>forpostinposts:...do_awesome_thing(post)>>>users=eece210.get_users(["userid1","userid2"])>>>all_users=eece210.get_all_users()Above are some examples to get started; more in the documentation (which is coming soon;
but the code is all Sphinx-style documented and is fairly readable).You can also use the "internal" PiazzaRPC class which maps more directly
to Piazza's API itself but is not as nice and as intuitive to use as thePiazzaclass abstraction.>>>frompiazza_api.rpcimportPiazzaRPC>>>p=PiazzaRPC("hl5qm84dl4t3x2")>>>p.user_login()Email:...Password:...>>>p.content_get(181)...>>>p.add_students(["student@example.com","anotherStudent@example.com"])...InstallationYou've seen this before and you'll see it again.# The easy waypipinstallpiazza-api# The developer waygitclonehttps://github.com/hfaran/piazza-apicdpiazza-api
pythonsetup.pydevelop# The Docker waygitclonehttps://github.com/hfaran/piazza-apicdpiazza-api
dockerbuild-tpiazza-api.
dockerrun-itpiazza-api:latestContributeIssue TrackerSource CodeLicenseThis project is licensed under the MIT License.DisclaimerThis is not an official API. I am not affiliated with Piazza Technologies Inc.
in any way, and am not responsible for any damage that could be done with it.
Use it at your own risk.
Package: pi-baseutils
This project is mainly to package commonly used tools, functions and classes
The current version mainly includes database information and read-write data functionspython'''
py setup.py sdist bdist_wheel
pip install pi_utils-0.0.1-py3-none-any.whl
'''https://packaging.python.org/en/latest/tutorials/packaging-projects/py -m pip install --upgrade pip
py -m pip install --upgrade build
py -m buildpy -m pip install --upgrade twine
py -m twine upload dist/*py -m twine upload --skip-existing dist/*  # 已有相同版本
Package: pibayer
[![Build Status](https://travis-ci.com/scivision/pibayer.svg?branch=master)](https://travis-ci.com/scivision/pibayer)[![Maintainability](https://api.codeclimate.com/v1/badges/66560126d66fb438a9d4/maintainability)](https://codeclimate.com/github/scivision/raspicam-raw-bayer/maintainability)[![PyPi version](https://img.shields.io/pypi/pyversions/pibayer.svg)](https://pypi.python.org/pypi/pibayer)[![PyPi formats](https://img.shields.io/pypi/format/pibayer.svg)](https://pypi.python.org/pypi/pibayer)[![PyPi Download stats](http://pepy.tech/badge/pibayer)](http://pepy.tech/project/pibayer)# Raspicam raw Bayer mask pixelsAcquire RAW Bayer-masked images with Raspberry Pi camera (before demosaicking).Writes HDF5, NetCDF or TIFF compressed image stacks.## InstallTo be installed directly on the Raspberry Pi, using Python &ge; 3.5:```shapt install python3-numpypython3 -m pip install -e .```Running the self-test must be done on a Raspberry Pi with camera module:```shpython3 -m pip install -e .[tests]python3 -m pytest```To install advanced (HDF5, NetCDF4) image writing libraries:```shapt install python3-netcdf4 python3-h5py```### Tips* Avoid MMAL errors: `raspi-config` &rarr; Advanced Options &rarr; Memory Split should be 128 MB, not 64 MB.* Fix error "ImportError: libf77blas.so.3: cannot open shared object file: No such file or directory" by:```shapt install libatlas-dev```## ExamplesSetting of exposure time manually (seconds) is mandatory to avoid mistakes in experiments.### RAW live video display```sh./getrawimage.py 0.01 -a```### Dump image stack to disk* NetCDF: `./getrawimage.py 0.01 output.nc`* HDF5: `./getrawimage.py 0.01 output.h5`* TIFF: `./getrawimage.py 0.01 output.tif`## Command-Line Options* `-a` GPU-based preview, for aiming camera (fast)* `-p` use Matplotlib for slow, live (10 seconds per frame) display* `-e` exp_sec manually set exposure time, up to one second (there are still some auto-set gains)* `-8` output 8-bit array instead of default 10-bit array## Notes[Constraints on exposure time](http://picamera.readthedocs.io/en/latest/fov.html#camera-modes)---> ValueError: cannot save to a group with the scipy.io.netcdf backendis fixed by:```shapt install libnetcdf-devpip install netcdf4```
Package: pibeep
ContextThis tool is showcased in the projectIotaWorkshopSummaryThis is a beeping utility for the common buzzer. This package comes with a variety of beeps that can be called from a command line inteface or imported from python.InstallationThis package requiresRPi.GPIO, which I installed on arch arm usingyay -S python-raspberry-gpioBut ubuntu or rasbian can use,pip install RPi.GPIOTo install pibeep simply install the pip package.pip install pibeepYou can then look at the examples on how to run as a cli. You can also import it into your project using,from pibeep import pulseBeep,beepDuration
beepDuration(pin=12,duration=.33) #beeper on pin 12, on for .33 sec
pulseBeep(pin=12,freq=25,duration=1) #pulse beep at 25HZ for 1 seccondBeepsshort: duration 0.05 secmedium: duration 0.25 seclong: duration 1.00 secwarning: pulses 8HZ for 1.5 sec durationconfirmed: pulses 16HZ for .5 sec durationbrr: pulses 50HZ for .5 sec durationExampleThe cli can be use any of the listed above beeps in the format as the following commands:beep warning --pin 12 #Warning sound
beep short --pin 12 #Small beep
beep brr --pin 12 #A rumbling sound
beep confirmed --pin 12 #A sound that conveys successUsually I need to run it as sudo to have the correct permissions, but it depends on your setup.
Package: pi-blogging
A Simple Blogging App that enables you to:Create/Decide Layout of the post.Arrange them in hierarchy.Write taggeble blog articles.Apart from these stand-alone features this app can be used as Django-CMS apps also providing various plugins e.g.:Latest Entries Plugin (with Various view options).Section Views Plugin.Contact Page Plugin.Filter Entries based of Tags.RequirementsPython2.7.Django1.5.x or 1.6.x.Reversion1.7.x or 1.8.x.Taggit.Ckeditor4.x.Crispy Forms.mptt0.6.1.django_select2InstallationUse pip for installing the app:pip install pi-blogging –preor download zip file from githubhereafter installation, add blogging to your installed apps and also make sure that requirements are also installed -INSTALLED_APPS = (…‘reversion’,‘crispy_forms’,‘blogging’,‘taggit’,‘ckeditor’,‘django_select2’,…)Also add blogging urls in your projects urls.py -urlpatterns = i18n_patterns(‘’,…url(r’^’, include(‘blogging.urls’,namespace=’blogging’)),…)after this just runpython manage.py syncdbfor creation of database tables.UsageBasic Usage of the Blogging App is creating blog entries and navigate among them. App has three core entities :Content Type.Blog Parent.Blog Entries.The documentation may be found atRead The Docs.
Package: pibootctl
pibootctl is a utility for querying and manipulating the boot configuration of
aRaspberry Pi. It is a relatively low level utility, and not intended to be
as friendly (or as widely applicable) asraspi-config. It provides a
command line interface only, but does attempt to be useful as a basis for more
advanced interfaces (by providing input and output in human-readable,
shell-interpretable, JSON, or YAML formats) as well as being useful in its own
right.The design philosophy of the utility is as follows:Be safe: the utility manipulates the boot configuration and it’s entirely
possible to create a non-booting system as a result. To that end, if no
backup of the current boot configuration exists, always take one before
manipulating it.Be accessible: the Pi’s boot configuration lives on a FAT partition and is a
simple ASCII text file. This means it can be read and manipulated by almost
any platform (Windows, Mac OS, etc). Any backups of the configuration should
be as accessible. To that end we use simple PKZIP files to store backups of
boot configurations (in their original format), and place them on the same
FAT partition as the configuration.Be extensible: Almost all commands should default to human readable input
and output, but options should be provided for I/O in JSON, YAML, and a
shell-parseable format.LinksThe code is licensed under theGPL v3or aboveThesource codecan be obtained from GitHub, which also hosts thebug trackerThedocumentation(which includes installation and quick start examples)
can be read on ReadTheDocsPackages can bedownloadedfrom PyPI, although reading the installation
instructions will probably be more useful