Saravanan666/pypi-org huggingface dataset:
Package: co2-reading-plugin
Pioreactor CO2 reading pluginAdafruit offers three CO2 sensors (SCD30,SCD40 and SCD41) that measure CO2, temperature, and humidity.This is a simple Pioreactor plugin that returns CO2 readings (or all readings) at a set duration from stemma QT connected Adafruit SCD sensors.Install withpio install-plugin co2-reading-pluginfrom the command line, or in the Pioreactor UI.Important: after installation, this requires a reboot of your leader PioreactorOverview chartThis also adds a chart to your overview page that displays the CO2 readings per Pioreactor.
Package: co2sim
Version:x.x.xupdated:x.x.xDocumentation:http://co2mpas.io/repository:https://github.com/JRCSTU/CO2MPAS-TA/pypi-repo:https://pypi.org/project/co2sim/Copyright:2018 JRC.C4(STU), European Commission (JRC)license:EUPL 1.1+All project’s documentation hosted athttps://co2mpas.io/
Package: co2-tracker-utils
CO2 Tracker UtilsCO2 Tracker helpersFree software: MIT licenseDocumentation:https://co2-tracker-utils.readthedocs.io.FeaturesPython2.7 and Python 3.5+.Windows, Mac OS X and Linux support for GPU logging.AWS, GCP and Azure support for Cloud metadata logging.InstallationCO2 Tracker helpers can be installed by runningpip install co2-tracker-utilsorconda install -c conda_forge -c comet_ml co2-tracker-utils.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.subtitle: '0.1.0 (2020-05-14)'
title: HistoryFirst release on PyPI.
Package: co2wui
Co2mpas Web UIA flask UI for running co2mpas.Development instructionscreate a virtual env, eg. in this folder called.venvwith:pythonX.Y -m venv .venvandactivate itafterwards,clone the following repositories:git clonehttps://github.com/vinci1it2000/co2mpas.git(branch dev)git clonehttps://github.com/vinci1it2000/syncing.gitgit clonehttps://github.com/JRCSTU/DICE.gitInstall the above packages in development mode:pip install -e <some-folder>for each of the packages(optional) Install all pinned versions inrequirements.txtwith::pip install -r ./requirements.txtassuming you want to reproduce the exact environment, OR just...install this project indevelop modealong with all its development-dependencies
with:pip install .[dev]enablepre-commithooksforblack-formattingpython code with::pre-commit installLaunch WebUIco2wuiorpythonco2wui/app.py
Package: coach-ml
Coach Python SDKCoach is an end-to-end Image Recognition platform, we provide the tooling to do effective data collection, training, and on-device parsing of Image Recognition models.Seehttps://coach.lkuich.comfor more information!InstallingInstall and update usingpip:pipinstallcoach-mlUsageCoach can be initialized 2 different ways. If you are only using the offline model parsing capabilities and already have a model package on disk, you can initialize like so:coach=CoachClient()# We already had the `flowers` model on disk, no need to authenticate:result=coach.get_model('flowers').predict('rose.jpg')However, in order to download your trained models, you must authenticate with your API key:coach=CoachClient().login('myapikey')# Now that we're authenticated, we can cache our models for future use:coach.cache_model('flowers')# Evaluate with our cached model:result=coach.get_model('flowers').predict('rose.jpg')API BreakdownCoachClient__init__(is_debug=False)Optionalis_debug, ifTrue, additional logs will be displayedlogin(apiKey) -> CoachClientAuthenticates with Coach service and allows for model caching. Accepts API Key as its only parameter. Returns its own instance.cache_model(model_name, path='.', skip_match=False, model_type='frozen')Downloads model from Coach service to disk. Specify the name of the model, and the path to store it. This will create a new directory in the specified path and store any model related documents there.
By default, if a model already exists with the same version, in the same path, caching will be skipped. Setskip_matchtoFalseto override this behaviour.model_typecan be one of:frozen,unity,mobile, and can be useful if you're interested in caching a specific version of your model.get_model(path='.') -> CoachModelLoads model into memory. Specify the path of the cached models directory. Returns aCoachModelget_model_remote(model_name, path='.') -> CoachModelDownloads and loads model into memory. Specify the path of the cached models directory. Returns aCoachModelCoachModel__init__(graph, labels, base_module)Initializes a new instance ofCoachModel, accepts a loadedtf.Graph(), array oflabels, and thebase_modulethe graph was trained off of.predict(image, input_name="input", output_name="output") -> dictSpecify the directory of an image file or the image as a byte array. Parses the specified image into memory and runs it through the loaded model. Returns a dict of its predictions in order of confidence.
If you have a pretrained frozen graph with different Tensor input/output names, you can specify them withinput_nameandoutput_namerespectfully.
Package: coaclient
This project is a library consisting of a command-line interface and a client for interacting with Coursera’s OAuth2 authorizes APIs.
It’s a rewrittencourseraoauth2clientwith python3 support.InstallationCreate virtualenv using python3:virtualenv -p $(which python3) <path_to_env>Activate created virtualenv:source <path_to_env>/bin/activateTo install this SDK, execute:pip install coaclientpipis a python package manager.SetupBefore using Coursera’s OAuth2 APIs, be sure you know your client id,
client secret, and scopes you want for your application. You may create
an application athttps://accounts.coursera.org/console. When creating the
application, set theRedirect URIto behttp://localhost:9876/callback.Command Line InterfaceThe project includes a command-line tool. Run:coaclient --helpfor a complete list of features, flags, and documentation.configConfigures the Coursera OAuth2 client library.Examples:coaclient config add --app APP_NAMEAdds configuration for a new application to coaclient. And also prepares new
storage for application authorization tokens in coaclient.coaclient config authorize --app APP_NAMEConfigures the tool to go through theauthorization secretflow for applicationAPP.The Coaclient tries to open the default system browser(If this step fails, the Coaclient suggests to open a link in the browser manually).
The application configuration will be saved to the local file if the request is succeeded.
You should check the data you’ve provided to the library during application configuration if you see any errors in the browser.coaclient config check-auth --app APP_NAMEChecks whether the current instance can authorize against Coursera’s API server for applicationAPPcoaclient config display-auth-cache --app APP_NAMEShows authorization cache for app. The auth and refresh tokens are truncated for security purposes.
If you want to display them, you can add--no-truncateoption. Don’t pass your tokens to the third parties!coaclient config delete --app APP_NAMEDelete the application from configuration file if the application exists.versionReturns the current version of the libraryExamples:coaclient versionloglevelYou can suppress output or get more detailed information by choosing a log level.
It can be done by specifying the optional--log-level(-l)parameter.
Valid choices areINFO,DEBUG,WARNING,ERROR,CRITICAL.
Default loglevel isINFO.Usageimport requests
from coaclient import oauth2
...
app_name = 'my_application_name'
url = 'https://api.coursera.org/api/externalBasicProfiles.v1?q=me&fields=name'
auth = oauth2.build(app_name=app_name).authorizer
response = requests.get(url, auth=auth)
print(response.json())Ifmy_application_namewas successfully configured, you will be able to
successfully make a request. Otherwise, an exception will be thrown telling you
to set up your application for API access.Bugs / Issues / Feature RequestsPlease use the Github issue tracker to document any bugs or other issues you
encounter while using this tool.TestsTo run tests, run:nosetests, ortox.
Package: coaction
coactionA library for multi-agent learning that aims to accelerate the research.What is coaction for?coaction can create and run simulations for any Markov game whose stage ransitions and rewards can be represented by multi-dimensional array. It provides implementations of popular learning dynamics such as fictitious play and individual Q-learning. Since the library is created for research, it also allows users to implement their own agents and run the simulations without the extra burden of parallelization and logging.How to useThough coaction can be used similar to other Python libraries, coaction provides two main functionalities: creation of the project configurations and running the simulations for given configurations.To create the project directory and the configuration files, one can use coaction.create. An example script is given below.python -m coaction.create \
    --parent_dir ../ \
    --project_name example_project \
    --experiment_name example_experiment_1 example_experiment_2 example_experiment_3 example_experiment_4 \
    --agent_types SynchronousFictitiousPlay SynchronousFictitiousPlay \
    --agent_types CustomAgent SynchronousFictitiousPlay \
    --agent_types AsynchronousFictitiousPlay AsynchronousFictitiousPlay \
    --agent_types AsynchronousFictitiousPlay AnotherCustomAgent \
    --game_types MatrixGame MatrixGame MarkovGame MarkovGameparent_diris the directory in which the project will be created.project_nameis the name of the project.experiment_nameis a list of experiment names.agent_typesis the classes of agents that will be used in the experiments. Note that each entry of agent types is for the corresponding experiment you listed via theexperiment_nameargument. For custom agents, write the name of the custom agent class you will implement. coaction will create a template for your custom agent.game_typesis either "MatrixGame" or "MarkovGame." Recall that Markov games contain multiple matrix games as their stage games. Internally, all the games are converted to a Markov game. This distinction removes the burden of creating a transition matrix of all ones for matrix games. It is, of course, possible to create both the transition and reward matrices to simulate a matrix game using the "MarkovGame" class.After the creation of the configuration files, you will find templates that you need to complete before running the experiment. When you complete the configuration files, you can run the project as given below:python -m coaction.run --project ../example_projectThis script will start the experiments according to your configuration. coaction also copies the configuration files to the corresponding log directory. This allows you to change the configuration of the project without losing the information about your previous runs.
Package: coactive
Coactive Python LibraryDocumentationAPI Documentation can be foundhereInstallationAdd this dependency to your project's build file:pipinstallcoactive# orpoetryaddcoactiveUsagefromcoactive.clientimportCoactivefromcoactiveimportStorageTypeEnumcoactive_client=Coactive(client_id="YOUR_CLIENT_ID",client_secret="YOUR_CLIENT_SECRET",)dataset=coactive_client.dataset.create(name="visual_data",description="A dataset containing images and videos.",storage_type=StorageTypeEnum.S3,data_path="s3://coactive-demo-datasets/quickstart/",)print(f"Created dataset with id{dataset.dataset_id}");Async Clientfromcoactive.clientimportAsyncCoactivefromcoactiveimportStorageTypeEnumimportasynciocoactive_client=AsyncCoactive(client_id="YOUR_CLIENT_ID",client_secret="YOUR_CLIENT_SECRET",)asyncdefcreate_dataset()->None:dataset=coactive_client.dataset.create(name="visual_data",description="A dataset containing images and videos.",storage_type=StorageTypeEnum.S3,data_path="s3://coactive-demo-datasets/quickstart/",)print(f"Created dataset with id{dataset.dataset_id}");asyncio.run(create_dataset())TimeoutsBy default, the client is configured to have a timeout of 60 seconds.
You can customize this value at client instantiation.fromcoactive.clientimportCoactivecoactive_client=AsyncCoactive(client_id="YOUR_CLIENT_ID",client_secret="YOUR_CLIENT_SECRET",timeout=30# timeout is set to 30 seconds)Handling ExceptionsAll exceptions thrown by the SDK will sublcasscoactive.ApiError.fromcoactive.coreimportAPIErrorimportcoactivetry:flatfile_client.environments.get(id="environment-id")exceptcoactive.NotFoundErrorase:# handle bad request errorexceptAPIErrorase:# handle any api related errorError codes are as followed:Status CodeError Type400BadRequestError401UnauthorizedError403ForbiddenError404NotFoundError429UnprocessableEntityErrorCustom Base URLBy default the client will send requests tohttps://app.coactive.ai.
You can point the client at a different domain by populating
thebase_urlfield:fromcoactive.clientimportCoactivefromcoactiveimportStorageTypeEnumcoactive_client=Coactive(client_id="YOUR_CLIENT_ID",client_secret="YOUR_CLIENT_SECRET",base_url="https://custom-domain.com/your/path")Mypy AnnotationsThe SDK methods and type definitions are all annotated with
mypy so consumers can leverage autocomplete and intellisense.Beta statusThis SDK is in beta, and there may be breaking changes between
versions without a major version update. Therefore, we recommend pinning
the package version to a specific version in your pyproject.toml file.
This way, you can install the same version each time without breaking
changes unless you are intentionally looking for the latest version.ContributingWhile we value open-source contributions to this SDK, this library is
generated programmatically. Additions made directly to this library would
have to be moved over to our generation code, otherwise they would be
overwritten upon the next generated release. Feel free to open a PR as a
proof of concept, but know that we will not be able to merge it as-is.
We suggest opening an issue first to discuss with us!On the other hand, contributions to the README are always very welcome!
Package: coa-django-countable-field
Countable Field is a simple Django custom for widget for displaying a
text area with the current word count displayed underneath. It can be
set up to display the count in red when the current word count is out
of required minimum or maximum word count for the form field.Quick startAdd “countable_field” to your INSTALLED_APPS setting like this:INSTALLED_APPS = [
    ...
    'countable_field',
]2. In the form, set the field’s widget to be “CountableWidget”, passing
the minimum and maximum word count as additional parameters, such as:self.fields['essay_response'].widget = \
            CountableWidget(attrs={'data-min-count': this.essay_min_length,
                                   'data-max-count': this.essay_max_length})
Package: coala
“Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live.”―John F. Woodscoalaprovides a unified interface for linting and fixing code with a single configuration file, regardless of the programming languages used. You can use coala from within your favorite editor, integrate it with your CI, get the results as JSON, or customize it to your needs with its flexible configuration syntax.coala supports popular programming languages includingPython,C/C++,Java,JavaScript,CSS, andseveral othersout of the box.Install coala|Get Involved|Chat|Roadmap|Blog|Twitter
Package: coala-bears
coala-bearscoala-bears is a Python package containing all the bears that are officially
supported by coala. It features more than78 bearscovering54 languages. Here is agenerated listthat contains information about each bear, such as the languages it supports and
what fixes it can apply to your code.InstallationLanguages SupportedUsageGetting InvolvedSupportAuthorsLicenseInstallationTo install thelatest stable versionrun:$pip3installcoala-bearsTo install the latest development version run:$pip3installcoala-bears--preThe latest code from the master branch is automatically deployed as the
development version in PyPI.To also install all bears for coala at once run:$pip3installcoala-bearsYou can also usecib(coala Installs Bears), which is an experimental bear
manager that lets you install, upgrade, uninstall, check dependencies, etc.
for bears. To install it, run:$pip3installcibFor usage instructions, consultthis link.Be sure to use the latest version of pip, the default pip from Debian doesn’t
support our dependency version number specifiers. You will have touse a
virtualenvin this case.Languages SupportedTo see what coala can do for your language, run:$coala--show-bears--filter-by-languagePythonLanguages coala provides algorithms forCLatexSQLC++LuaSwiftC#MarkdownTypeScriptCMakeMatlab/OctaveVerilogCoffeeScriptNatural Language (English)VHDLCSSPerlVimscriptDartPHPXMLFortranPython 2YAMLGoPython 3HaskellRHTMLreStructured TextJavaRubyJavaScriptScalaJSPSCSSJuliash & bash scriptsThe number of bears grows every day! If you want to see any particular
functionality be sure to submit an issue, but please read theGetting Involvedsection before doing so.You can read more at ourdocumentation.
There you can learn how to easily write bears yourself! Be sure to let us know
if you do so, so we’ll be able to include it here and spread the word about it.UsageFor more information about how to do basic analysis, check out thecoala README.Getting InvolvedIf you would like to be a part of the coala community, you can check out ourGetting In Touchpage or ask us at our active Gitter channel, where we have maintainers from
all over the world. We appreciate any help!We also have anewcomer guideto help you get started by fixing an issue yourself! If you get stuck anywhere
or need some help, feel free to contact us on Gitter or drop a mail at ournewcomer mailing list.SupportFeel free to contact us at ourGitter channel, we’d be happy to help!If you are interested in commercial support, please contact us on the Gitter
channel as well.You can also drop an email at ourmailing list.Authorscoala is maintained by a growing community. Please take a look at the
meta information insetup.pyfor the current maintainers.License
Package: coala_bears_create
coala-bears-create is a simple CLI program which let’s you scaffold
acoala-bearin minutes. It asks you certain questions and based on your
answers, a template for bears and tests is automatically
generated for you. Now you just have to modify this template to add
more specific details and you’re good to go.Note: Python 3.3+ only.InstallationFor Windows:pip installcoala-bears-createFor Linux:pip3 installcoala-bears-createLicenseAGPL LicenseLICENSE included here
Package: coala-html
README.o88Oo._
                                                    d8P         .ooOO8bo._
                                                    88                  '*Y8bo.
                                      __            YA                      '*Y8b   __
                                    ,dPYb,           YA                        68o68**8Oo.
                                    IP'`Yb            "8D                       *"'    "Y8o
                                    I8  8I             Y8     'YB                       .8D
                                    I8  8P             '8               d8'             8D
                                    I8  8'              8       d8888b          d      AY
     ,gggo,    ,ggggo,    ,gggo,gg  I8 dP    ,gggo,gg   Y,     d888888         d'  _.oP"
    dP"  "Yb  dP"  "Y8go*8P"  "Y8I  I8dP    dP"  "Y8I    q.    Y8888P'        d8
   i8'       i8'    ,8P i8'    ,8I  I8P    i8'    ,8I     "q.  `Y88P'       d8"
  ,d8,_    _,d8,   ,d8' d8,   ,d8b,,d8b,_ ,d8,   ,d8b,       Y           ,o8P
ooP""Y8888PP*"Y8888P"   "Y8888P"`Y88P'"Y88P"Y8888P"`Y8            oooo888P"ABOUTcoala-html is an angular application used to display results fromcoala-jsonas an interactive web page.If you want to learn more about coala, its functionality and its usage,
please take a look at ourtutorial.REPORTPROJECT STATUSBuild StatusCoverageDEMOGIF.Live.INSTALLATIONpip3 installcoala-htmlUSAGEcoala-html -hGETTING INVOLVEDIf you want to contribute to coala-html, please take a look at theGetting
Involved Information.We appreciate any help!BUILD & DEVELOPMENTRunpython3 setup.py installNote: You need to have bower installed before you may install the python packages.LICENSEThis code falls under the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or (at
your option) any later version.
Package: coala-install
Bear Installation Toolcoala features a Bear Installation Tool that helps installing bears one by one
or all of them. This tool is helpful as it also manages to install the bears’
external dependencies.InstallationTo install the tool, simply run:$ pip3 install coala-installUsageTo use the tool, run$ coala-installand a question will pop-up. To install all the bears, simple typeAll.
If you want just a few bears, typeSome. Then, a list with all the
bears, collected from PyPI, will pop up. You will now have to choose the bears
you want to install, separated by commas, and along with the dependencies,
the bears will install. To quit, simply type anything else.The tool features syntax highlighting, which highlights the options that are
in the given lists, and also autocompletion.
Package: coalas
coalasOverviewThis aims to be the simplest way of handling CSV files.I was pissed off with how pandas handled data, so I think I am going to make my own. Also pandas has a data limit of 50MB which is kinda stupid I may also be using it wrong. But anyways this is limited to the ram in your computer so have fun.InstallpipinstallcoalasUpgradepipinstallcoalas--upgradeUseAt the begging of your file import the data using the functionfromcoalasimportcsvReaderascc.importData("filename")c.printAll()This will bring all the data from your CSV and init them to arrays with that are named after your headers.Example:
If I have a csv file like this:foo,bar,biz
james,lars,kirk
john,paul,george #sorry ringo
gilmour,barret,watersafter importing the data you will get the arrays:foo=['james','john','gilmour']bar=['lars','paul','barret']biz=['kirk','george','waters']You can the mutate the state of the arrays with normal python functionality or for more CSV specific functions use the function detailed in the wiki pageContributingThank you for wanting to contribute, please look at the todo file for task that remain unfinished, or audit the code. In general use your rational judgment, don't submit anything malicious or project breaking, I or any maintainers will check. Don't be afraid to do anything radical or delete large swaths of code, take risks and innovate.The only requirement I will set is that you write a log of your work in thelog.mdfile. Follow the format. Thismust be donebefore and after every session. While this might seem tedious and monotonous, it allows me other to acknowledge the effort you have put it to helping the open source community. It as also fun to go back read anecdotes and relive the pain or jubilation the past.ThanksThanks to @Stelercus for the name, had to change it tocoalasinstead ofkoalasbecausekoalaswass already takenDonateEth:0xc7AfE4114E3b78cB22Ec7EbDA11AD40199a9Cb96Cardano:addr1q85kef4y4zx4lyxyuq3wgec3nddn53wv6nmydrc6eyx5l47jdatz0hja95dudtxclcjp8ejkthl6hl5xjfregk9lllrs8um6c0Infoemail (business) : me@danielokita.com
twitter : @theArctesian
discord : 0xArctesian#8968
telegram : @TheArctesian
signal : @ArctesianPSA!!This project is licensed underGPL-3. If you have a problem with it cry about it. In short, any fork of this project must maintain the license and adhere to the 4 essential freedoms of free software as listed by theFSF.