Saravanan666/pypi-org huggingface dataset:
Package: bluesky-guidata
BlueSky - The Open Air Traffic SimulatorBlueSky is meant as a tool to perform research on Air Traffic Management and Air Traffic Flows, and is distributed under the GNU General Public License v3.The goal of BlueSky is to provide everybody who wants to visualize, analyze or simulate air
traffic with a tool to do so without any restrictions, licenses or limitations. It can be copied,
modified, cited, etc. without any limitations.Citation info:J. M. Hoekstra and J. Ellerbroek, "BlueSky ATC Simulator Project: an Open Data and Open Source Approach", Proceedings of the seventh International Conference for Research on Air Transport (ICRAT), 2016.BlueSky ReleasesBlueSky is also available as a pip package, for which periodically version releases are made. You can find the latest release here:https://github.com/TUDelft-CNS-ATM/bluesky/releasesThe BlueSky pip package is installed with the following command:pip install bluesky-simulator[full]Using ZSH? Add quotes around the package name:"bluesky-simulator[full]". For more installation instructions go to the Wiki.BlueSky WikiInstallation and user guides are accessible at:https://github.com/TUDelft-CNS-ATM/bluesky/wikiSome features of BlueSky:Written in the freely available, ultra-simple-hence-easy-to-learn, multi-platform language
Python 3 (using numpy and either pygame or Qt+OpenGL for visualisation) with sourceExtensible by means of self-containedpluginsContains open source data on navaids, performance data of aircraft and geographyGlobal coverage navaid and airport dataContains simulations of aircraft performance, flight management system (LNAV, VNAV under construction),
autopilot, conflict detection and resolution and airborne separation assurance systemsCompatible with BADA 3.x dataCompatible wth NLR Traffic Manager TMX as used by NLR and NASA LaRCTraffic is controlled via user inputs in a console window or by playing scenario files (.SCN)
containing the same commands with a time stamp before the command ("HH:MM:SS.hh>")Mouse clicks in traffic window are use in console for lat/lon/heading and position inputsContributionsBlueSky can be considered 'perpetual beta'. We would like to encourage anyone with a strong interest in
ATM and/or Python to join us. Please feel free to comment, criticise, and contribute to this project. Please send suggestions, proposed changes or contributions through GitHub pull requests, preferably after debugging it and optimising it for run-time performance.
Package: bluesky-hwproxy
Bluesky Hardware ProxyThis is a proxy server to provide access to certain bluesky device methods over a zmq interface.
The interface is based directly on the zmq interface of bluesky-queueserver, so an identical client (with a different address) can be used.
For convenience, a version ofzmq_single_requestwith the default address oftcp://localhost:60620is provided asbluesky_hwproxy.comms.zmq_single_request.Starting a serverstart-hwproxy-serveris an entry point provided to start up an instance of hwproxy.
It accepts the same parameters for specifying the environment that contains device objects asstart-re-managerfrom bluesky-queueserver.for example:$start-hwproxy-server--startup-script./startup.py
$start-hwproxy-server--startup-moduleophyd.sim
$start-hwproxy-server--startup-dir./startup/Note that at present,--startup-profileis not connected, though will be in the near future.Connecting via pythonfrombluesky_hwproxy.commsimportzmq_single_requestdevices=zmq_single_request("list")[0]["result"]describe=zmq_single_request("describe",{"device":devices[-1]})[0]["result"]Connecting via cliWe provide ahwproxycommand line program to allow interfacing with the hwproxy serverCommands to interact with the server itself:$hwproxylist# List available hardware as string keys, one per linemotor1
motor2
det

$hwproxyreload# reload available devicesThe following print JSON response to the terminal:$hwproxyread<device>
$hwproxydescribe<device>
$hwproxyconfigread<device>
$hwproxyconfigdescribe<device>
$hwproxyhints<device>Output is colorized when run from an interactive shell, plain text when e.g. piped.Finally, we allow checking if a set position is valid:$hwproxycheck<device><value>trueThe result is simplytrueorfalseprinted to the terminal.<value>can be any json encoded string (most of the time it is a simple float, however pseudopositioners and specialized hardware may use lists, etfc.
Package: bluesky-kafka
Kafka integration for bluesky.Free software: 3-clause BSD licenseFeaturesBlueskyConsumerMongoConsumerPublisherRemoteDispatcherTestInstall docker and docker-compose.Start a Kafka server:$ cd bluesky-kafka/scripts
$ sudo docker-compose -f bitnami-kafka-docker-compose.yml upRun tests:$ cd bluesky-kafka
$ pytestOptionally increase logging output to the console by specifying a logging level:$ pytest --log-cli-level=DEBUGRun a Mongo Consumer GroupCreate a conda environment:$ conda create -n consumers python=3.8
$ conda activate consumersInstall packages:$ pip install bluesky-kafka supervisorSetup environment variables:
mongo_uri reference:https://docs.mongodb.com/manual/reference/connection-string/bootstrap_servers: comma-separated list of brokers.$ export BLUESKY_MONGO_URI="mongodb://username:password@machine1:port1,machine2:port2,machine3:port3
$ export KAFKA_BOOTSTRAP_SERVERS="machine1:9092, machine2:9092, machine3:9092"Update the bluesky_kafka/supervisor/supervisord.conf file with the correct path for your installation.Start the consumer processes:$ supervisord -c bluesky_kafka/supervisor/supervisord.confMonitor the consumer processes:$ supervisorctl -c bluesky_kafka/supervisor/supervisorctl.conf
Package: bluesky-simdata
BlueSky - The Open Air Traffic SimulatorBlueSky is meant as a tool to perform research on Air Traffic Management and Air Traffic Flows, and is distributed under the GNU General Public License v3.The goal of BlueSky is to provide everybody who wants to visualize, analyze or simulate air
traffic with a tool to do so without any restrictions, licenses or limitations. It can be copied,
modified, cited, etc. without any limitations.Citation info:J. M. Hoekstra and J. Ellerbroek, "BlueSky ATC Simulator Project: an Open Data and Open Source Approach", Proceedings of the seventh International Conference for Research on Air Transport (ICRAT), 2016.BlueSky ReleasesBlueSky is also available as a pip package, for which periodically version releases are made. You can find the latest release here:https://github.com/TUDelft-CNS-ATM/bluesky/releasesThe BlueSky pip package is installed with the following command:pip install bluesky-simulator[full]Using ZSH? Add quotes around the package name:"bluesky-simulator[full]". For more installation instructions go to the Wiki.BlueSky WikiInstallation and user guides are accessible at:https://github.com/TUDelft-CNS-ATM/bluesky/wikiSome features of BlueSky:Written in the freely available, ultra-simple-hence-easy-to-learn, multi-platform language
Python 3 (using numpy and either pygame or Qt+OpenGL for visualisation) with sourceExtensible by means of self-containedpluginsContains open source data on navaids, performance data of aircraft and geographyGlobal coverage navaid and airport dataContains simulations of aircraft performance, flight management system (LNAV, VNAV under construction),
autopilot, conflict detection and resolution and airborne separation assurance systemsCompatible with BADA 3.x dataCompatible wth NLR Traffic Manager TMX as used by NLR and NASA LaRCTraffic is controlled via user inputs in a console window or by playing scenario files (.SCN)
containing the same commands with a time stamp before the command ("HH:MM:SS.hh>")Mouse clicks in traffic window are use in console for lat/lon/heading and position inputsContributionsBlueSky can be considered 'perpetual beta'. We would like to encourage anyone with a strong interest in
ATM and/or Python to join us. Please feel free to comment, criticise, and contribute to this project. Please send suggestions, proposed changes or contributions through GitHub pull requests, preferably after debugging it and optimising it for run-time performance.
Package: bluesky-simulator
10 years of BlueSky!This year marks BlueSky's tenth anniversary, which we are celebrating with a two-dayworkshopon November 8-9.BlueSky - The Open Air Traffic SimulatorBlueSky is meant as a tool to perform research on Air Traffic Management and Air Traffic Flows, and is distributed under the GNU General Public License v3.The goal of BlueSky is to provide everybody who wants to visualize, analyze or simulate air
traffic with a tool to do so without any restrictions, licenses or limitations. It can be copied,
modified, cited, etc. without any limitations.Citation info:J. M. Hoekstra and J. Ellerbroek, "BlueSky ATC Simulator Project: an Open Data and Open Source Approach", Proceedings of the seventh International Conference for Research on Air Transport (ICRAT), 2016.BlueSky ReleasesBlueSky is also available as a pip package, for which periodically version releases are made. You can find the latest release here:https://github.com/TUDelft-CNS-ATM/bluesky/releasesThe BlueSky pip package is installed with the following command:pip install bluesky-simulator[full]Using ZSH? Add quotes around the package name:"bluesky-simulator[full]". For more installation instructions go to the Wiki.BlueSky WikiInstallation and user guides are accessible at:https://github.com/TUDelft-CNS-ATM/bluesky/wikiSome features of BlueSky:Written in the freely available, ultra-simple-hence-easy-to-learn, multi-platform language
Python 3 (using numpy and either pygame or Qt+OpenGL for visualisation) with sourceExtensible by means of self-containedpluginsContains open source data on navaids, performance data of aircraft and geographyGlobal coverage navaid and airport dataContains simulations of aircraft performance, flight management system (LNAV, VNAV under construction),
autopilot, conflict detection and resolution and airborne separation assurance systemsCompatible with BADA 3.x dataCompatible wth NLR Traffic Manager TMX as used by NLR and NASA LaRCTraffic is controlled via user inputs in a console window or by playing scenario files (.SCN)
containing the same commands with a time stamp before the command ("HH:MM:SS.hh>")Mouse clicks in traffic window are use in console for lat/lon/heading and position inputsContributionsBlueSky can be considered 'perpetual beta'. We would like to encourage anyone with a strong interest in
ATM and/or Python to join us. Please feel free to comment, criticise, and contribute to this project. Please send suggestions, proposed changes or contributions through GitHub pull requests, preferably after debugging it and optimising it for run-time performance.
Package: blueskysocial
blueskysocialblueskysocial is a Python library for managing social media posts and images. It provides a Client class for interacting with social media platforms, as well as classes for representing posts and images.InstallationTo install blueskysocial, you can use pip:pipinstallblueskysocialUsagefromblueskysocialimportClient,Post,Imageclient=Client(user_name,password)client.authenticate()image=Image('path/to/image.jpg',alt_text='This is an image.')post=Post('Hello, world!','This is my first post.',images=[image])client.post(post)ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Licenseblueskysocial is licensed under the MIT License. SeeLICENSEfor more information.
Package: bluesky-widgets
Toolbox of widgets for visualizing blueskying dataInstallationInstall bluesky-widgets with Qt support:$ pip install bluesky-widgets[pyside2]or:$ pip install bluesky-widgets[pyqt5]Install bluesky-widgets with jupyter support:$ pip install bluesky-widgets[jupyter]Install bluesky-widgets with all optional dependencies:$ pip install bluesky-widgets[complete]
Package: bluesmet
SFIBlues Metocean libraryIllustrates fetching metocean data from different sources.InstallationUse the package managerpipto install simapy.pipinstallbluesmetDevelopmentNecessary dependencies installed usingpip install -r requirements.txtDevelopment dependencies installed usingpip install -r requirements-dev.txtDeveloped for use with theSFI Blues Metocean portalFind example usagehere
Package: bluesms
BlueSMS SDKThis is a python SDK for the BlueSMS API. It can be added to your current python-based application so as to interact with the BlueSMS Uganda API in a much simpler way.Why we created the BlueSMS SDKWe began using BlueSMS in many of our applications and were simply tired of writing code to send SMSes in every Python project we created. So we decided to create a python package that would make it easier for us to send SMSes in our projects.InstallationpipinstallbluesmsUsagefrombluesms.smsimportSMS# initialise the SMS classsms=SMS()# send the SMStry:sending=sms.send(user="user@example.com",password="password",reciever="0777xxxxxx",sender="sender",message="message")print("The SMS sent",sending.text)exceptExceptionase:print("Error sending SMS:",e)Development SetupClone the repository by running the following command in your terminal:git clone https://github.com/mwanjajoel/bluesms.gitWe use Pipenv to manage our dependencies. To install pipenv, run the following command:pip install pipenvActivate the virtual environment by running the following command in your terminal:pipenv shellInstall the dependencies by running the following command in your terminal:pipenv installRun testsTBDCode Formatting using Blackblack momoHow to submit an issuePlease follow ourBug Report Guideon how to submit your issue.How to request for a new featurePlease follow ourFeature Request Guideon how to submit a feature requestCode of ConductWe follow a strict code of conduct and you can read itHereCreditsBlueSMS SDK was designed and built by Mwanja Joel. It is licensed under the MIT license; for the full license please see theLICENSEfile.Please see theAUTHORSfile for the full list of contributors.If you find BlueSMS SDK useful and want to reach out, find me on Twitter:@mrjoelmwanja.
Package: bluesnow
BlueSnow is a basic tool powered by pip that packages your Python applications into a
single script.Note that, at the moment, custom package data is not supported.Installation$ pip install bluesnowUsage via setup.py pluginPut this in yoursetup.py:try:importbluesnowcmdclass=bluesnow.setuptools_cmdclassexceptImportError:cmdclass={}setup(# Normal stuff here...cmdclass=cmdclass,)Now just runpython setup.py bluesnowto compile your entry points. The results will
be placed in thebluesnow-outdirectory.Usage from command lineYou can also use BlueSnow from the command line, e.g.:$ bluesnow 'my_entry_point = my_module:my_function'The entry points follow thestandard entry point specification. Usebluesnow-hfor more options.
Package: bluestacks-fast-screenshot
This module takes screenshots of BlueStacks using the win32 API, resizes and crops them to the same size of an ADB screenshot.You can easily get more than 100 FPS, but the BlueStacks window may not be minimized! You can put it in the background, but don't minimize it!pipinstallbluestacks-fast-screenshot# Update 22/12/2022 - Less code / less dependenciesfrombluestacks_fast_screenshotimportget_bluestacks_screenshotimportcv2blueit=get_bluestacks_screenshot(adb_path="C:\\Users\\USERNAME\\AppData\\Local\\Android\\Sdk\\platform-tools\\adb.exe",deviceserial="localhost:5795",windowtitle="bluestacks",interpolation=cv2.INTER_AREA,ignore_exceptions=True,show_fps=True,)forpicinblueit:# do your stuff herecv2.imshow("",pic.copy())ifcv2.waitKey(1)&0xFF==ord("q"):cv2.destroyAllWindows()break
Package: bluestackspatcher-nougat
Updates IMEI/IMSI on BlueStacks 5.11.1002 / N32 / 32 bit / Android Nougat (probably other versions as well)Make a backup of your BlueStacks folder before using it!You must root your BlueStacks instances!pip install bluestackspatcher-nougatfrombluestackspatcher_nougatimportBlueStacksPatcherbstackpatcher=BlueStacksPatcher(adb_path="C:\\Users\\Gamer\\AppData\\Local\\Android\\Sdk\\platform-tools\\adb.exe",bluestacks_config=r"C:\ProgramData\BlueStacks_nxt\bluestacks.conf",hdplayer=r"C:\Program Files\BlueStacks_nxt\HD-Player.exe",)bstackpatcher.connect_to_all_bluestacks_devices(timeout=3)# Always connect to all devices before you do any actiona,b=bstackpatcher.get_new_imei_imsi(locale="pt-BR",country="BR",countrycode="076",ignore=(),min_threads_open=95,timeoutsearch=5,sleeptime=1,timeoutstart=35,)print(a)print(b)
Package: bluestocking
An information extraction toolkit.To discuss the project with use, join our maing list:http://groups.google.com/forum/?fromgroups#!forum/bluestocking-devThis project depends on NLTK.  You will need to install it before running these scripts.To run tests:python tests.pyTo run factchecker demo, try this:python factchecker.py “The sky is not blue.”or this:python factchecker.py “People never eat fish. Goldfish are unpopular.”This test a document against the Simple English Wikipedia
articles for each word in the string passed as argument.(Warning: documents with long sentences take longer to query)Scripts included:### parse.pyDefines Document class for wrapping raw text and Parser
class for extracting Relations from a Document.Documents have a method to turn them into Doxaments (see below).### doxament.pyDefines a Doxament class.  A Doxament contains many Relations.
A Doxament may be queried for consistency with another Doxament.  They may also be merged to form a more complete knowledge base.Relations encapsulate a semantically significant lexical
cooccurence.### otherwikipedia.py and wiki2plain.py fromhttp://stackoverflow.com/questions/4460921/extract-the-first-paragraph-from-a-wikipedia-article-python
Package: blue-st-sdk-package
# BlueST SDKBlueST SDK is a multi-platform library ([Android](https://github.com/STMicroelectronics/BlueSTSDK_Android), [iOS](https://github.com/STMicroelectronics/BlueSTSDK_iOS), and [Linux](https://github.com/STMicroelectronics/BlueSTSDK_Python) supported) that allows easy access to the data exported by a Bluetooth Low Energy (BLE) device that implements the [BlueST Protocol](https://github.com/STMicroelectronics/BlueSTSDK_Python#bluest-protocol).## Documentation
Documentation can be found [here](https://stmicroelectronics.github.io/BlueSTSDK_Python/index.html).## Compatibility
This version of the SDK is compatible with [Python](https://www.python.org/) 3.5 and runs on a Linux system.
Package: blue-st-sdk-temp
# BlueST SDKBlueST SDK is a multi-platform library ([Android](https://github.com/STMicroelectronics/BlueSTSDK_Android), [iOS](https://github.com/STMicroelectronics/BlueSTSDK_iOS), and [Linux](https://github.com/STMicroelectronics/BlueSTSDK_Python) supported) that allows easy access to the data exported by a Bluetooth Low Energy (BLE) device that implements the [BlueST Protocol](https://github.com/STMicroelectronics/BlueSTSDK_Python#bluest-protocol).## Documentation
Documentation can be found [here](https://stmicroelectronics.github.io/BlueSTSDK_Python/index.html).## Compatibility
This version of the SDK is compatible with [Python](https://www.python.org/) 3.5 and runs on a Linux system.
Package: bluetarget
BlueTargetDeploy, monitor and explain machine learning models.BlueTarget is a MLops platform which allows ML engineer and Data Science deploy, monitor and explain their machine learning models. We're able to deploy your model using different kind of strategies like A/B testing, Canary or Rolling update.Get started with theBlueTarget.What can I do with BlueTarget?If you've ever tried to get a model out of a Jupyter notebook, BlueTargert is for you.BlueTarget allow your to deploy your ML model taking away the whole complexity of the cloud. However If you prefer to have the control of the infrastructure, BlueTarget can work with your preferred cloud:Here are some of the things BlueTarget does:Turns your Python model into a microservice with a production-ready API endpoint, no need for Flask or Django.Track your model's version and metadataUnderstad the drift of your modelTrack your inferenceDeployment strategies like A/B testing, canary and rolling updateInstallationBlueTarget requires Python >=3.7To install fromPyPi, run:pip install bluetargetBlueTarget is actively developed, and we recommend using the latest version. To update your BlueTarget installation, run:pip install --upgrade bluetargetHow to use BlueTargetQuickstart: making a BlueTargettrain.py!pipinstall--upgradescikit-learnbluetargetpickle-mixinfromsklearnimportsvmfromsklearnimportdatasetsimportpickle# Load training data setiris=datasets.load_iris()X,y=iris.data,iris.target# Train the modelclf=svm.SVC(gamma='scale')clf.fit(X,y)pickle.dump(clf,open('model.pkl','wb'))service.pyimportosfromtypingimportDict,ListclassModel:def__init__(self)->None:self._model=Nonedefload(self):importpicklewithopen(f"{os.path.dirname(__file__)}/model.pkl",'rb')aspickle_file:self._model=pickle.load(pickle_file)defpredict(self,request:Dict)->Dict[str,List]:response={}inputs=request["inputs"]result=self._model.predict(inputs).tolist()response["predictions"]=resultreturnresponserequirements.txtscikit-learn==1.0.2
pickle-mixin==1.0.2deploy.pyfrombluetargetimportBlueTargetbt=BlueTarget(api_key="YOUR_API_KEY")bt.deploy(model_name="YourFirstModel",model_class="Model",model_files=["model.py","model.pkl"],requirements_file="requirements.txt")inputs=[[6.9,3.1,5.1,2.3],[5.8,2.7,5.1,1.9],[6.8,3.2,5.9,2.3],[6.7,3.3,5.7,2.5],[6.7,3.,5.2,2.3],[6.3,2.5,5.,1.9],[6.5,3.,5.2,2.],[6.2,3.4,5.4,2.3],[5.9,3.,5.1,1.8]]bt.predict(inputs)# {#     "predictions": [#         2,#         1,#         2,#         3,#         0,#         2,#         3,#         2,#         1#     ]# }