Saravanan666/pypi-org huggingface dataset:
Package: omnix
Omni (x)ExtensionsSimple web application consuming the Omni API.This application may be used as a supervisor of the Omni Platform to run tasks in an async
fashion, this way it's possible to remove async tasks from the Omni core.UsageOne must define a series of configuration values in order to correctly use the automated
part of the omni extension (supervisor).NameTypeDefaultDescriptionOMNIX_REMOTEboolFalseIf the remote URL should be used as the default one (legacy).OMNIX_USERNAMEstrNoneThe username to be used for authentication on the omni service.OMNIX_PASSWORDstrNoneThe password value used in the authentication on the omni service, notice that this value will be sent in plain text (using an SSL encrypted connection).OMNIX_CLIENT_IDstrNoneThe identifier of the Omni API client to be used for authentication.OMNIX_CLIENT_SECRETstrNoneThe secret string to be used by the Omni API client for authentication.OMNIX_QUEUEstromnixThe name of AMQP queue that is going to be used.OMNIX_RECORD_CHUNKint300The size of record chunk to be used by the scheduler (use carefully to avoid memory issues).OMNIX_BIRTHDAY_TEMPLATEstrNoneIf set allows for a remote definition of the base template to be used for email sending.REMOTEboolFalseIf the remove mode should be used (production URL creation).OMNIX_REMOTEboolFalseSame asREMOTE.OMNIX_SCHEDULEboolTrueIf the scheduling (background) operations of the Omnix should be enabled (defaults toTrue).REDIRECT_URLstrNoneThe URL that will be used for OAuth2 based callbacks.Additionally one must also configure the MongoDB and RabbitMQ instances to be able to execute
the proper master and slave supervisors. For that use theMONGOHQ_URLandCLOUDAMQP_URLvariables.LicenseOmnix is currently licensed under theApache License, Version 2.0.Build Automation
Package: omnizart
OMNIZARTOmnizart is a Python library that aims for democratizing automatic music transcription.
Given polyphonic music, it is able to transcribe pitched instruments, vocal melody, chords, drum events, and beat.
This is powered by the research outcomes fromMusic and Culture Technology (MCT) Lab.Transcribe your favorite songs now in Colab!Quick startVisit thecomplete documentfor detailed guidance.Pip# Install omnizartpipinstallomnizart# Download the checkpointsomnizartdownload-checkpoints# Transcribe your songsomnizartdrumtranscribe<path/to/audio.wav>
omnizartchordtranscribe<path/to/audio.wav>
omnizartmusictranscribe<path/to/audio.wav>Dockerdocker pull mctlab/omnizart:latest
docker run -it mctlab/omnizart:latest bashSupported applicationsApplicationTranscriptionTrainingEvaluationDescriptionmusic:heavy_check_mark::heavy_check_mark:Transcribe musical notes of pitched instruments.drum:heavy_check_mark::interrobang:Transcribe events of percussive instruments.vocal:heavy_check_mark::heavy_check_mark:Transcribe note-level vocal melody.vocal-contour:heavy_check_mark::heavy_check_mark:Transcribe frame-level vocal melody (F0).chord:heavy_check_mark::heavy_check_mark:Transcribe chord progressions.beat:heavy_check_mark::heavy_check_mark:Transcribe beat position.NOTESThe current implementation for the drum model has unknown bugs, preventing loss convergence when training from scratch.
Fortunately, you can still enjoy drum transcription with the provided checkpoints.Compatibility IssueCurrently, Omnizart isincompatible for ARM-based MacOSsystem due to the underlying dependencies.
More details can be found in theissue #38.
Package: omo
📦 setup.py (for humans)This repo exists to providean example setup.pyfile, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices forsetup.py, as well as some
commented–out nice–to–haves.For example, thissetup.pyprovides a$ python setup.py uploadcommand, which creates auniversal wheel(andsdist) and uploads
your package toPyPiusingTwine, without the need for an annoyingsetup.cfgfile. It also creates/uploads a new git tag, automatically.In short,setup.pyfiles can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)Check out the example!Installationcdyour_project# Download the setup.py file:#  download with wgetwgethttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py-Osetup.py#  download with curlcurl-Ohttps://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.pyTo DoTests via$ setup.py test(if it's concise).Pull requests are encouraged!More ResourcesWhat is setup.py?on Stack OverflowOfficial Python Packaging User GuideThe Hitchhiker's Guide to PackagingCookiecutter template for a Python packageLicenseThis is free and unencumbered software released into the public domain.Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.
Package: omoidasu
omoidasuDescriptionCLI flashcards tool.Installationpip install omoidasuHow to useUsage: omoidasu [OPTIONS] COMMAND [ARGS]...

  CLI for Omoidasu.

Options:
  --data-dir TEXT                 Data directory.
  --config-dir TEXT               Config directory.
  --cache-dir TEXT                Cache directory.
  --state-dir TEXT                State directory.
  --log-dir TEXT                  Log directory.
  --flashcards-dir TEXT           Flashcards directory.
  --verbose / --no-verbose        Show additional information.
  --interactive / --no-interactive
                                  Use interactive features.
  --debug / --no-debug            Show debug information.
  --help                          Show this message and exit.

Commands:
  add     Add cards interactively using text editor.
  list    Writes all cards to stdout.
  new     Add card.
  review  Review all cards.Usage: omoidasu list [OPTIONS] REGULAR_EXPRESSION

  Writes all cards to stdout.

Options:
  --max-cards INTEGER  Max number of cards to list.
  --help               Show this message and exit.Usage: omoidasu review [OPTIONS] REGULAR_EXPRESSION

  Review all cards.

Options:
  --max-cards INTEGER  Max number of cards to review.
  --help               Show this message and exit.Usage: omoidasu add [OPTIONS]

  Add cards interactively using text editor. Save empty file to finish adding
  cards.

Options:
  --editor TEXT
  --help         Show this message and exit.Usage: omoidasu new [OPTIONS] [SIDES]...

  Add card.

Options:
  --help  Show this message and exit.
Package: omok
Omok (오목)Omok은 오목 인공지능 개발을 위한 오픈소스 파이썬 라이브러리입니다.Install$pipinstallomokUsagePlay$python-momokEnvironmentimportomokenv=omok.Omok()formovein[112,111,96,97,128,113,80,127,144]:env(move)env.show_state()"""Result+-------------------------------+| - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - O - - - - - - - - - || - - - - - - O X - - - - - - - || - - - - - - X O X - - - - - - || - - - - - - - X O - - - - - - || - - - - - - - - - O - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - || - - - - - - - - - - - - - - - |+-------------------------------+| Player 2  Winner 1  Moves   9 |+-------------------------------+"""Agentimportomokagent=omok.OmokAgent(model_index=1)env=omok.Omok()whileTrue:state=env.get_state()player=env.get_player()action=agent(state,player)result=env(action)env.show_state()ifresult:breakLicenseMIT
Package: omolab-conf-analysis
Conformational AnalysisConformational analysis of XYZ-filesWhat this program can doRead in XYZ-files and calculate distances, angles and dihedrals based of 3D coordinatesIncorporation of PCA and Clustering to reduce data dimensions and classify XYZ file conformational familiesCreate folder path and directories containing XYZ-files based on conformational familyInstallationRun the following to install:# PyPipipinstallomolab-conf-analysisUsage####In your own python fileimport ConformationalAnalysis
test1 = ConformationalAnalysis()####In command line (not working yet; soon!)mGenerate_Conf_AnalysisAuthorsCreated by OMOLABProperty of Matthew Nwerem, MS and O. Maduka Ogba, PhDhttps://madukaogba.com/
Package: omoospace
OmoospaceIn ChineseOmoospace is a scalable directory structure solution for digital creation works. We provide a Python library for managing omoospace, including creating omoospace, shipping packages, setting subspace, etc.What is "Omoospace", and how does it rule all your creation files?This library is for developing DCC plugins like blender add-ons to integrate omoospace into software. Remember, omoospace is just a directory guide. It should be easy to maintain manually. We do not recommend any over-design that only works by using plugins. This library aims to build plugins to avoid repetitive work and have a global view of the entire workspace structure, which consists of nested subspaces, not to manage a project entirely on a program without touching the folders.We developed some plugins already:HoudiniBlenderUsageFor CG ArtistsFor Plugin DevelopersFor Code Contributors
Package: omop2fhir-vocab
OMOP2FHIR-vocabConvert OMOP vocab to FHIR.PrerequisitesPython 3.9+Java 11+Installationpip install omop2fhir-vocabRunningRun:omop2fhir-vocab OPTIONSCLIomop2fhir-vocab --help
usage: omop2fhir-vocab [-h] -c CONCEPT_CSV_PATH -r CONCEPT_RELATIONSHIP_CSV_PATH [-v VOCABS [VOCABS ...]] [-R RELATIONSHIPS [RELATIONSHIPS ...]] [-o OUT_DIR]
                       [-I]

Convert OMOP vocab to FHIR.

options:
  -h, --help            show this help message and exit
  -c CONCEPT_CSV_PATH, --concept-csv-path CONCEPT_CSV_PATH
                        Path to CSV of OMOP concept table.
  -r CONCEPT_RELATIONSHIP_CSV_PATH, --concept-relationship-csv-path CONCEPT_RELATIONSHIP_CSV_PATH
                        Path to CSV of OMOP concept_relationship table.
  -v VOCABS [VOCABS ...], --vocabs VOCABS [VOCABS ...]
                        Which vocabularies to include in the output? Usage: --vocabs "Procedure Type" "Device Type"
  -R RELATIONSHIPS [RELATIONSHIPS ...], --relationships RELATIONSHIPS [RELATIONSHIPS ...]
                        Which relationship types from the concept_relationship table's relationship_id field to include? Default is "Is a"
                        only. Passing "ALL" includes everything. Usage: --relationships "Is a" "Maps to"
  -o OUT_DIR, --out-dir OUT_DIR
                        Output directory. Defaults to current working directory.
  -V, --vocab-outputs   Create set of artefacts (CodeSystem, ConceptMap) for each vocabulary?
  -C, --combined-outputs
                        Create set of artefacts (CodeSystem, ConceptMap) for all of OMOP vocabulary combined?
  -e, --exclude-vocab-prefix
                        With this flag absent, the identifiers and file names for each vocabulary will be prefixed "OMOP".
  -S, --exclude-code-system
                        Exclude CodeSystem outputs.
  -M, --exclude-concept-map
                        Exclude ConceptMap outputs.
  -H {all,omop2fhir,omop2owl,owl2fhir} [{all,omop2fhir,omop2owl,owl2fhir} ...], --caching {all,omop2fhir,omop2owl,owl2fhir} [{all,omop2fhir,omop2owl,owl2fhir} ...]
                        Warning: Option currently in development. Does not differentiate between different settings (particularly --vocabs
                        and --relationships). It considers all cached files relevant each time you run it using a given --out-dir. So if
                        you want to use caching and also want to change your settings, either (a) clear your --out-dir or (b) use a
                        different --out-dir. Caching options: `all`: Turns on all cache options. `omop2fhir`: Saves any intermediate files
                        at the top level of this pipeline, which basically entails caching of output from omop2owl which is used by
                        owl2fhir. `omop2owl`: Intermediates used by that package, such as robot templates. `owl2fhir`: Intermediates used
                        by that package, such as Obographs JSON.
Package: omotes-sdk-protocol
OMOTES SDK ProtocolThis package contains the protobuf (proto3) message definitions in Python for the OMOTES SDK protocol.
This protocol specifies job communication between OMOTES and any user of the SDK.Exampleimportuuidimportdatetimefromomotes_sdk_protocol.job_pb2importJobSubmissionsome_message=JobSubmission(uuid=uuid.uuid4(),timeout_ms=round(datetime.timedelta(seconds=10).total_seconds()*1000),workflow_type="grow_optimizer",esdl=b'your raw esdl encoded as UTF-8 here')
Package: omotes-sdk-python
OMOTES SDK PythonThis repository is part of the 'Nieuwe Warmte Nu Design Toolkit' project.Python implementation of the OMOTES SDK through jobs which may be submitted, receive status updates for submitted jobs or cancel submitted jobs.ProtobufPlease installprotocon your machine and make sure it is available in yourPATH.Version 25.2 is used:https://github.com/protocolbuffers/protobuf/releases.
Package: om-package-fynd
A sample project that exists as an aid to thePython Packaging User Guide’sTutorial on Packaging and Distributing
Projects.This projects 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.This is the README file for the project.The file should use UTF-8 encoding and be written using ReStructured Text. 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: omp-thread-count
OpenMP Thread CounterA small Python module to get the actual number of threads used by OMP via Cython bindings.Free software: MIT licenseDocumentation:https://omp-thread-count.readthedocs.org.WhyBecause GCC/Cython always returned 1 when callingopenmp.get_thread_numoropenmp.get_max_threads.InstallationTo install run:pip install omp-thread-countIn OSX, and possibly other platforms, you may need to specify a compiler with
OpenMP support, like this:CC=gcc-4.8 pip install omp-thread-countUsageImporting from python code:importomp_thread_countn_threads=omp_thread_count.get_thread_count()Importing from cython code:fromomp_thread_count._ompcimportget_thread_countUseomp_thread_count.get_includes()in your extensions’include_dirsto
use the header files.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.1 (2016-06-21)Improved packaging and CI support.Simplified cython code.Fixed support for python 3.5.0.2.0 (2016-06-19)Added pxd files for third-party cimports.0.1.0 (2016-06-18)First release on PyPI.
Package: om-py
OM-pypip install om-pyWith this package I aim to translate to Python some of the functions of OpenMusic.Functions implementedom_scale, f2mc.ObservationsIn Python, we can not use->in the functions name, so I changed->to2. Thenf->mcbecomef2mc.In Python, we can not use-in the functions name, so I changed-to_. Thenom-scalebecomeom_scale.OM-PY: Briging python to visual programming
Copyright (c) 2021-2022 São Paulo, University of São PauloPermission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use, copy,
modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.Except as contained in this notice, the names of the Centre for
Digital Music and Queen Mary, University of London shall not be
used in advertising or otherwise to promote the sale, use or other
dealings in this Software without prior written authorization.
Package: omq
omqOmq is a IPC that usesNanomsgunder the hood. It likes MQTT in some degree.Conceptnanomsg is a socket library that provides several common communication patterns. It aims to make the networking layer fast, scalable, and easy to use. Implemented in C, it works on a wide range of operating systems with no further dependencies. But its sub-pub mode is not very good for us to use. So, omq bornd. Through omq, you can easily publish and subscribe message like MQTT.Installationpip install git+https://cloud.orca-tech.cn:9091/rty813/omq.gitOmq requires python 3.6+ and CMake 3.13+UsageBus# node1.pyimportomqwithomq.Bus()asnode:node.publish('test','hello world')# node2.pyimportomqdefon_message(topic,payload):print(f'{topic}-{payload}')withomq.Bus()asnode:node.on_message=on_messagenode.subscribe(['test','test/#'])node.loop_forever()REQ/REP# rep.pyimportomqdefhandler(topic,payload):print(topic,payload)# Handle data...return'ok'withomq.Rep(omq.Addr.MAIN,handler)asnode:node.loop_forever()# req.pyimportomqres=omq.req(omq.Addr.MAIN,'test','req data')print(res)# okSupernode/Slavenode# Supernode.pyimportomqcount=0node=omq.SuperNode()defon_message(slave_id,payload):globalcountcount+=1ifcount%3==0:print(f'send:{slave_id}')node.publish(slave_id,'Recv')print(f'recv:{slave_id}-{payload}')node.on_message=on_messagenode.loop_forever()# Slave.pyimportomqimporttimenode=omq.SlaveNode('node1','127.0.0.1')defon_message(payload):print('recv: '+payload)node.on_message=on_messagenode.loop_start()whileTrue:try:node.publish({'a':time.time(),'b':2})time.sleep(1)except:node.close()break
Package: omr
Extract answer choices from scanned jpg bubble forms.Graphical User Interface$ omrcmd.pyCommand Line$ omrcmd.py [options] imagedirimagedirInput image directory (front side). Lowest numbered image identifies the key.–backdir=BACKDIROptional back side image directory–form=FORMSet the form string (default and only supported=”882E”)–helpShow this help message and exitOutputvalidation imagesAnswer bubble means and reference box fits drawn over each input
image.results.xlsxsummaryImage path, name box image, and total score for each test.questioninfoAnswer choice counts by question. Key excluded.scoringAnswer choice matches key (0/1). Same indices as choices. Score
is 0 if key is -1.choicesAnswer choice matrix. Tests in rows and questions in columns.
0-4=A-E, -1=n/a.Install$ pip install omr
$ pip install --upgrade omr
$ pip uninstall omrRequirementspython2.7+pip$ easy_install pipDependencies (installed by pip)numpy 1.8.0multidimensional numerical array object.openpyxl 1.6.2read and write excel xlsx files.pillow 2.2.1image manipulation.yaml 3.10human friendly data serialization.Example Validation ImageTroubleshootingWindows$ omrcmd.py--helpgivesomrcmd.py: error: too few argumentsfix argument passing to “py” file associations frompython %1topython %1 %*unable to find vcvarsall.batI was able to use$ easy_install Pillowwhen pip failed to install Pillow 2.2.1AuthorGreg Millergmill002@gmail.com
Package: omrdatasettools
Tools for working with Optical Music Recognition datasetsA collection of tools that simplify the downloading and handling of datasets used for Optical Music Recognition (OMR).
These tools are available as Python packageomrdatasettoolson PyPi.They simplify the most common tasks such as downloading and extracting a dataset,
generating images from textual representations or visualizing those datasets.Development setupCreate virtual environment runningpython3.11-mvenvvenvsourcevenv/bin/activate
pipinstall-rrequirements.txtRunning testsChangelog1.4.0Adding several new datasets, upgrading to Python 3.11, and refactoring downloader to use Pathlib and support tar-gz.1.3.1Bugfixing an error that generates incorrect MUSCIMA++ image masks because
images were incorrectly associated with each other.1.3.0Added download capabilities of DeepScores V1 with extended vocabulary and
opened the downloader, so you can download custom datasets, as well as utilize
other methods from it that were previously private.1.2.2Fixed incorrect import statement in__init__.py1.2.1Fixed dependency problem duringsetup.pythat prevented the package from being
installed if the dependent libraries are not yet installed (which defeats
the purpose of declaring dependencies in setup.py).
Changing to semantic versioning with three numbers.
1.2 is now considered 1.2.0.1.2Attempting to declare dependencies insetup.pyproperly1.1Updated MuscimaPlusPlusSymbolImageGenerator to work with MUSCIMA++ 2.0.
Added quality-of-life improvement suggested by @yvan674 to make importing
common classes such as the downloader easier.1.0Dramatically simplified the tools for downloading datasets.
Removed mostly unused code and re-organized project structure and documentation.0.19New Image generator that can take MUSCIMA++ v2.0 images and
generate masks for instance segmentation of staffs, as well as
masks for semantic segmentation for all objects.0.18Changing MUSCIMA++ Downloader to accept a string instead of integer for enabling
future versioning of the dataset beyond integers, e.g., "2.1".Previous releasesFor information on previous releases, check out theGithub Repository
Package: omron
Omron F430 and F440 Vision Sensor CommunicationsThis is a Python communications driver for the Omron F4*0 series vision sensors. The driver allows the programmer to exchange data with a target device, as well as interact with the core functionality, over a TCP connection.The package is available onPyPifor easy installation and upgrade using PIP.Library FunctionalityTrigger InspectionsTransfer Inspection Images to Client PCGet and Set Fieldbus Linked VariablesTransfer AVP Files from Job Slot to Client PCTransfer AVP Files to Job Slot from Client PCSave Running Job to Client PCLoad a Job from Slot to Running MemorySave Job from Running Memory to a SlotGo On and OfflineRetrieve Help and Info from CameraDocumentationFor installation and usage instructions, please read the full documentation on the public repository atGitHub
Package: omron-2jcie-bu01
Module and sample code for obtaining data with OMRON 2JCIE-BU01 Environment
Sensor by Python. The codes work with Python 3.6 and above. This module supports
USB serial communication and BLE. This module depends on pySerial(serial
communication) and Bleak(BLE).Example:# Obtain sensing data via serial communication
from omron_2jcie_bu01 import Omron2JCIE_BU01
sensor = Omron2JCIE_BU01.serial("/dev/ttyUSB0") # Linux
sensor = Omron2JCIE_BU01.serial("COM5")         # Windows
devinfo = sensor.info()
data = sensor.latest_data_long()

# Obtain sensing data via BLE communication
# Read latest data with connection
from omron_2jcie_bu01 import Omron2JCIE_BU01
sensor = Omron2JCIE_BU01.ble("AA:BB:CC:DD:EE:FF")
data1 = sensor.latest_sensing_data()
data2 = sensor.latest_calculation_data()

# Read latest data by scan
def on_scan(data):
    print("SCAN", data)

# Advertising mode: 0x01 (Passive)
sensor.scan(on_scan, scantime=3)

# Advertising mode: 0x03 (Active)
sensor.scan(on_scan, scantime=3, active=True)

# Notify sensing data
def on_notify(sender, tpl):
    print(f"{sender} {tpl}")

sensor.start_notify(0x5012, on_notify)
sensor.start_notify(0x5013, on_notify)
sensor.sleep(5)
sensor.stop_notify(0x5012)
sensor.stop_notify(0x5013)