Saravanan666/pypi-org huggingface dataset:
Package: cee-syslog-handler
Python Syslog Logging Handler with CEE SupportUsage:from cee_syslog_handler import CeeSysLogHandler
import logging

logger = logging.getLogger('log')
logger.setLevel(logging.DEBUG)

ch = CeeSysLogHandler(address=("10.2.160.20", 514))
ch.setLevel(logging.DEBUG)
logger.addHandler(ch)

logger.info("test")
Package: ceevee
ceeveeceevee(read like CV, i.e. computer vision) is a Python library for various computer vision problems with a focus on easy usage.ceeveeaims to be a bridge between deep learning practitioners training accurate models and product-oriented software engineers who just want to process their images instead of diving into the deep learning ecosystem.Python 3.6+ is supported.InstallFrom PyPI - not available yetFrom sourcepython setup.py bdist_wheel
pip install -U ceevee-0.0.1-py3-none-any.whlTasksUsageAll tasks shares the same APICLI APIpython -m ceevee.cli task /path/to/img1.jpg /path/to/img2.jpg ... /path/to/imgN.jpg > result.jsonHTTP APIHTTP API is based onFalcon,
so it can be used with any WSGI server, such as uWSGI or Gunicorn.install your favourite WSGI server (e.g.pip install gunicorn)set env variableCEEVEE_TASKSfor your tasks,
multiple comma separated tasks are supported, e.g.CEEVEE_TASKS=task1,task2run a serverCEEVEE_TASKS=dummy gunicorn ceevee.cv_http;send a POST request withimageparameter.$ http -f POST localhost:8000/dummy image@/tmp/img.jpg
HTTP/1.1 200 OK
Connection: close
Date: Sat, 14 Sep 2019 13:47:39 GMT
Server: gunicorn/19.9.0
content-length: 37
content-type: application/json

{
    "result": [
        500,
        500,
        3
    ],
    "success": true
}Python APIfromceevee.utilsimportread_imgfromceevee.dummyimportDummyPredictorbaseline=DummyPredictor()img=read_img('/path/to/img.jpg')result=baseline(img)ContributionsYes, you can add a new model!Checklist:create a GitHub issue with your suggested model;create a new Baseline class (seeceevee.dummy.DummyBaseline) and implement three methods (preprocess,process,postprocess);add your model toMODELSatceevee/__init__.pyadd tests totests/;once CI is green, create a pull request!ToDo:infrastructure:packaging, pipAPIs:http: tests, error handlingmodels:face detectionface emotionface keypointscar detectioncrowd density estimation
Package: cef
Most Mozilla Services applications need to generate CEF logs. A CEF Log is a
formatted log that can be used by ArcSight, a central application used
by the infrasec team to manage application security.Thecefmodule provide alog_ceffunction that can be used to
emit CEF logs:log_cef(message, severity, environ, config, [username,[signature]], **kw)Creates a CEF record, and emit it in syslog or another file.Args:message: message to logseverity: integer from 0 to 10environ: the WSGI environ objectconfig: configuration dictsignature: CEF signature code, defaults to ‘AuthFail’username: user name, defaults to ‘none’extra keywords: extra keys used in the CEF extensionExample:>>> from cef import log_cef
>>> log_cef('SecurityAlert!', 5, environ, config,
...         msg='Someone has stolen my chocolate')Withenvironandconfigprovided by the web environment.You can use the cef module with pythons logging module.Example of logging configuration:'syslog': {
    '()': cef.SysLogFormatter,
    'datefmt': '%H:%M:%s',
},Send message to the log:log_file.warning('Something', {environ: environ,
                               username: request.user,
                               data: data})The SysLogFormatter will use the date format set in the log configuration
(datefmt). It will convert the logging error level into a sys log error level.CEF specific fields (version, vendor, device_version, product) can be also
be provided, defaults will be used if not passed.
Package: cefeste
CreditoEmiliano -FeatureSelection,Transformation andElimination (CE - FeSTE)This repo contains the 'FeSTE' python package which helps in the features management from the pre-filtering to the pre-processing and feature elimination.InstallationTo install it:Optional: create a new Python virtual environment (through bash terminal run: "py -m venv your_env_name" and then "source your_env_name/Scripts/activate )Install the package:User Mode:pip install cefesteStructureThe .py package is stored in src and contains 3 sub-modules:selection: contains the feature preliminary selection functionstransform: contains the feature pre-processing functionselimination: contains the feature elimination functionsFiltersSelectionThe main class of this module is FeatureSelection. It applies several filters that can be grouped in the following:Univariate filters:No constant featuresNumber of distinct value too lowNumber of missing values too highToo concentrate in the most frequent valueUnstable between setsMultivariate filters:Spearman Correlation for numerical featuresCramer's V for categorical featuresR2 for mixed featuresVIFExplanatory filters:Feature AUROC for classificationFeature Correlation with target for regressionTrasformationIt is more a technical module which contains 3 classes useful for generating the production pipeline:ColumnExtractor: to extract columns from a pd.DataFrameColumnRenamer: to rename columns and to transform a np.ndarray to a pd.DataFrameCategorizer: to trasform the dtype of pd.DataFrame columns from 'object' to 'category'EliminationThe main class of this module is FeatureElimination which is useful for selecting the most useful feature to keep in the model and optimize the hyperparams in the meanwhile.It is a recursive method that at each iteration can:Perform the hyperparameters optimization using user-defined model, grid, gridsearch method, evaluation measureCalculate the feature shap importance valueIdentify the last importance feature(/s) and Delete them for the next iteration
Package: ceffyl
ceffylPronounced /ˈkɛfɨ̞l/('keff-ill'), meaning 'horse' in Cymraeg/Welsh 🏴󠁧󠁢󠁷󠁬󠁳󠁿🐎A software package to rapidly and flexibly analyse pulsar timing array (PTA) data via refiting to pulsar timing free spectra.This can be done by fitting to a free spectrum of the entire PTA or individual pulsars!InstallationIt ishighly recommendedthat you install enterprise-pulsar first via conda-forge before installing ceffylTo install via `pip'condacreate-nnew_envpython=3.10
condaactivate<new_env>
pipinstallceffyl
pipinstall--no-depsenterprise-pulsarTo install via Anaconda:condacreate-n<new_env>pythonenterprise-pulsar
condaactivate<new_env>
condainstall-cconda-forgeceffylThen update to the latest version using github and pip!This is because we use enterprise as a dependency. Enterprise requires tempo2. Tempo2 is notoriously difficult to install directly...
We plan to remove this dependency in a future update.dataDownload representations of PTA data to accurately fit spectral models with ceffyl!🆕NANOGrav 15-year data setPTA free spectrum refit dataIPTA DR2PTA free spectrum refit dataNANOGrav 12.5-year data setPTA free spectrum refit data (zipped)examplesPTA free spectrum refit exampleThis is thefastestandmost accuraterefit technique. Fit any GWB spectrum that you'd like in < 5 minutes!GFL Lite refit exampleFit GWB models quickly and accurately to different combinations of pulsars!GFL refit exampleFit GWB and custom intrinsic red noise models to different pulsars quickly!Experimental- use with caution!Do you have your own free spectrum posteriors that you want to work in ceffyl? Learn about making your own KDE posteriorshereAttribution@article{lamb2023rapid,title={RapidrefittingtechniquesforBayesianspectralcharacterizationofthegravitationalwavebackgroundusingpulsartimingarrays},author={Lamb,WilliamGandTaylor,StephenRandvanHaasteren,Rutger},journal={PhysicalReviewD},volume={108},number={10},pages={103019},year={2023},publisher={APS}}
Package: cefp
cefpArcSight CEF ParserUsageAs module>>> import cefp
>>> cefp.parse(r'CEF:0|security|threatmanager|1.0|100|detected \\, \| and = in message|10|src=10.0.0.1 act=blocked \\, | and \= dst=1.1.1.1')
{'device': {'event_class_id': '100',
  'product': 'threatmanager',
  'vendor': 'security',
  'version': '1.0'},
 'extension': {'act': 'blocked \\, | and =',
  'dst': '1.1.1.1',
  'src': '10.0.0.1'},
 'name': 'detected \\, | and = in message',
 'severity': '10',
 'version': '0'}As command$ cefp 'CEF:0|security|threatmanager|1.0|100|detected \\, \| and = in message|10|src=10.0.0.1 act=blocked \\, | and \= dst=1.1.1.1' | jq .
{
  "version": "0",
  "device": {
    "vendor": "security",
    "product": "threatmanager",
    "version": "1.0",
    "event_class_id": "100"
  },
  "name": "detected \\, | and = in message",
  "severity": "10",
  "extension": {
    "src": "10.0.0.1",
    "act": "blocked \\, | and =",
    "dst": "1.1.1.1"
  }
}
Package: cefpython3
CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide python bindings for the Chromium Embedded Framework. Examples of embedding CEF browser are available for many popular GUI toolkits including: wxPython, PyQt, PySide, Kivy, Panda3D, PyGTK, PyGObject, PyGame/PyOpenGL and PyWin32.There are many use cases for CEF. You can embed a web browser control based on Chromium with great HTML 5 support. You can use it to create a HTML 5 based GUI in an application, this can act as a replacement for standard GUI toolkits like wxWidgets, Qt or GTK. You can render web content off-screen in application that use custom drawing frameworks. You can use it for automated testing of existing applications. You can use it for web scraping or as a web crawler, or other kind of internet bots.Project website:https://github.com/cztomczak/cefpython
Package: cefpython3-for-python-3.8.10-unofficial
This is an unofficial version of cefpython for mac build  CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide python bindings for the Chromium Embedded Framework. Examples of embedding CEF browser are available for many popular GUI toolkits including: wxPython, PyQt, PySide, Kivy, Panda3D, PyGTK, PyGObject, PyGame/PyOpenGL and PyWin32.There are many use cases for CEF. You can embed a web browser control based on Chromium with great HTML 5 support. You can use it to create a HTML 5 based GUI in an application, this can act as a replacement for standard GUI toolkits like wxWidgets, Qt or GTK. You can render web content off-screen in application that use custom drawing frameworks. You can use it for automated testing of existing applications. You can use it for web scraping or as a web crawler, or other kind of internet bots.Project website:https://github.com/kletel/cefpython
Package: cefpython3-for-python-3.9.6-unofficial
This is an unofficial version of cefpython for mac build  CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide python bindings for the Chromium Embedded Framework. Examples of embedding CEF browser are available for many popular GUI toolkits including: wxPython, PyQt, PySide, Kivy, Panda3D, PyGTK, PyGObject, PyGame/PyOpenGL and PyWin32.There are many use cases for CEF. You can embed a web browser control based on Chromium with great HTML 5 support. You can use it to create a HTML 5 based GUI in an application, this can act as a replacement for standard GUI toolkits like wxWidgets, Qt or GTK. You can render web content off-screen in application that use custom drawing frameworks. You can use it for automated testing of existing applications. You can use it for web scraping or as a web crawler, or other kind of internet bots.Project website:https://github.com/kletel/cefpython
Package: cefpython3-v66.1-for-python-3.10.2-unofficial
This is an unofficial version of cefpython for mac build  CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide python bindings for the Chromium Embedded Framework. Examples of embedding CEF browser are available for many popular GUI toolkits including: wxPython, PyQt, PySide, Kivy, Panda3D, PyGTK, PyGObject, PyGame/PyOpenGL and PyWin32.There are many use cases for CEF. You can embed a web browser control based on Chromium with great HTML 5 support. You can use it to create a HTML 5 based GUI in an application, this can act as a replacement for standard GUI toolkits like wxWidgets, Qt or GTK. You can render web content off-screen in application that use custom drawing frameworks. You can use it for automated testing of existing applications. You can use it for web scraping or as a web crawler, or other kind of internet bots.Project website:https://github.com/kletel/cefpython
Package: cegalprizm-hub
IntroductionA Python client library to use with a Cegal Hub Server and Cegal Hub Connector applications. Cegal Hub allows for exchange of data and messages across process boundaries on the local machine or across a network or internet. Out of the box the library allows for working with local or remote Cegal Hub Agents or Cegal Hub Connectors such as the Cegal Hub Petrel Connector and for queries against a running Cegal Hub Server which may also be local or remote. The library is designed to be consumed by other Python libraries with knowledge about specific Cegal Hub Connectors and functionality. Cegal Hub is secured using Cegal Keystone.UsageConfigure logging (Optional)Create a Hub object to work with a Cegal Hub ServerMake queries against a running Cegal Hub ServerMake client requests against Cegal Hub Connector applicationsBasic Example working with a local running Cegal Hub Serverimportlogging# Import the Hub objectfromcegalprizm.hubimportHub# Configure logging to stdout with info levellogging.getLogger()logging.basicConfig(format="%(asctime)s%(levelname)s%(message)s",level=logging.INFO,stream=sys.stdout,)# Create a Hub objecthub=Hub()# Verify that the local Hub Server is runninghub.verify_health()# Check that the version of the Python client library is compatible with the running Hub Serverhub.is_version_compatible()# Query the serverhub.print_query_server()# Query the available connectorshub.print_query_connectors()Further information and examplesPlease see the Cegal Prizm Documentation sitehereLicenseCopyright (2023) Cegal, As. This library (the "Software") may not be used except in connection with the Licensees use of the Cegal Prizm Hub pursuant to an Agreement (defined below) between Licensee (defined below) and Cegal, AS. ("Cegal"). This Software shall be deemed part of the "Subscription Services" under the Agreement. Licensees use of the Software must comply at all times with any restrictions applicable to the Subscription Services, generally, and must be used in accordance with any applicable documentation. If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software. This license terminates automatically upon the termination of the Agreement or Licensees breach of these terms. Agreement: the agreement between Cegal and Licensee governing the use of the Cegal Prizm Hub, which shall be, with respect to Cegal, and the Cegal Terms of Service located athttps://cegal.com/about/terms-and-conditions, in each case unless Licensee has entered into a separate written agreement with Cegal governing the use of the applicable Cegal Services. Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.
Package: cegalprizm-investigator
IntroductionA Python client library to use with a Blueback Investigator. This library allows investigation objects to be accessed via Python. The investigation can be defined directly in Petrel, in an invpy file or via a Pandas dataframe. The investigation object can be queried at various levels. The metadata that defines the investigation shape can be discovered. The raw sample data can be accessed as a dataframe for further analysis in the Python environment. Various plots (standard data science plots and geo-science specific plots) can be generated to QC the investigation data.Further information and examplesPlease see the Cegal Prizm Documentation sitehereLicenseCopyright (2022) Cegal, As. This library (the "Software") may not be used except in connection with the Licensees use of the Cegal Prizm Hub pursuant to an Agreement (defined below) between Licensee (defined below) and Cegal, AS. ("Cegal"). This Software shall be deemed part of the "Subscription Services" under the Agreement. Licensees use of the Software must comply at all times with any restrictions applicable to the Subscription Services, generally, and must be used in accordance with any applicable documentation. If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software. This license terminates automatically upon the termination of the Agreement or Licensees breach of these terms. Agreement: the agreement between Cegal and Licensee governing the use of the Cegal Prizm Hub, which shall be, with respect to Cegal, and the Cegal Terms of Service located athttps://cegal.com/about/terms-and-conditions, in each case unless Licensee has entered into a separate written agreement with Cegal governing the use of the applicable Cegal Services. Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.
Package: cegalprizm-pycoderunner
IntroductionA Python client library to use with a CegalPrizm. This library allows remote python scripts to be executed via Cegal Hub.Further information and examplesPlease see the Cegal Prizm Documentation sitehereLicenseCopyright (2022) Cegal, As. This library (the "Software") may not be used except in connection with the Licensees use of the Cegal Prizm Hub pursuant to an Agreement (defined below) between Licensee (defined below) and Cegal, AS. ("Cegal"). This Software shall be deemed part of the "Subscription Services" under the Agreement. Licensees use of the Software must comply at all times with any restrictions applicable to the Subscription Services, generally, and must be used in accordance with any applicable documentation. If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software. This license terminates automatically upon the termination of the Agreement or Licensees breach of these terms. Agreement: the agreement between Cegal and Licensee governing the use of the Cegal Prizm Hub, which shall be, with respect to Cegal, and the Cegal Terms of Service located athttps://cegal.com/about/terms-and-conditions, in each case unless Licensee has entered into a separate written agreement with Cegal governing the use of the applicable Cegal Services. Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.
Package: cegalprizm-pythontoolpro
IntroductionA Python library for interfacing with Petrel.UsagePython Tool Pro requires a connection to be established from the preferred client-side Python IDE to the Python Tool Pro server in Petrel. Petrel domain objects are accessed from the external Python IDE and the scripts are executed outside of Petrel. The results of the Python scripts are then streamed back to Petrel.Basic Example - Open connectionfromcegalprizm.pythontoolimportPetrelConnectionpetrel=PetrelConnection()project_name=petrel.get_current_project_name()print(f'Name of currently active Petrel project is "{project_name}"')petrel.close()Further information and examplesPlease see the Cegal Prizm Documentation sitehereLicenseCopyright (2024) Cegal, AS. This library (the "Software") may not be used except in connection with the Licensees use of the Cegal Prizm Hub pursuant to an Agreement (defined below) between Licensee (defined below) and Cegal, AS. ("Cegal"). This Software shall be deemed part of the "Subscription Services" under the Agreement. Licensees use of the Software must comply at all times with any restrictions applicable to the Subscription Services, generally, and must be used in accordance with any applicable documentation. If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software. This license terminates automatically upon the termination of the Agreement or Licensees breach of these terms. Agreement: the agreement between Cegal and Licensee governing the use of the Cegal Prizm Hub, which shall be, with respect to Cegal, and the Cegal Terms of Service located athttps://cegal.com/about/terms-and-conditions, in each case unless Licensee has entered into a separate written agreement with Cegal governing the use of the applicable Cegal Services. Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.Petrel * is a mark of SLB
Python™ is a trademark of the Python Software Foundation
Package: cegalprizm-scripting-server
IntroductionA Python client library to use with a CegalPrizm. This library allows remote python scripts to be executed via Cegal Hub.Further information and examplesPlease see the Cegal Prizm Documentation sitehereLicenseCopyright (2022) Cegal, As. This library (the "Software") may not be used except in connection with the Licensees use of the Cegal Prizm Hub pursuant to an Agreement (defined below) between Licensee (defined below) and Cegal, AS. ("Cegal"). This Software shall be deemed part of the "Subscription Services" under the Agreement. Licensees use of the Software must comply at all times with any restrictions applicable to the Subscription Services, generally, and must be used in accordance with any applicable documentation. If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software. This license terminates automatically upon the termination of the Agreement or Licensees breach of these terms. Agreement: the agreement between Cegal and Licensee governing the use of the Cegal Prizm Hub, which shall be, with respect to Cegal, and the Cegal Terms of Service located athttps://cegal.com/about/terms-and-conditions, in each case unless Licensee has entered into a separate written agreement with Cegal governing the use of the applicable Cegal Services. Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.
Package: cegpy
cegpyCegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.It is built on top of the Python network modelling packageNetworkX.DocumentationDocumentation is hosted onread the docs.We have also written a paper to explain the statistical methods and algorithms included in the package;ARXIV - cegpy: Modelling with Chain Event Graphs in Python.QuickstartIf you'd like to get started using the packages, the best place to start is thequick-start documentation.Example BinderUse cases have been demonstrated in abinder.The following image is an example of a chain event graph that is produced by this package:Contributors ✨Thanks goes to these wonderful people (emoji key):Aditi Shenvi💻⚠️🐛📆Gareth Walley💻📖🎨⚠️🚧Kasia Kobalczyk💻🐛⚠️Peter Strong💻🐛💡⚠️This project follows theall-contributorsspecification. Contributions of any kind welcome!
Package: ceilometer
OverviewCeilometer is a data collection service that collects event and metering
data by monitoring notifications sent from OpenStack services. It publishes
collected data to various targets including data stores and message queues.Ceilometer is distributed under the terms of the Apache
License, Version 2.0. The full terms and conditions of this
license are detailed in the LICENSE file.DocumentationRelease notes are available athttps://releases.openstack.org/teams/telemetry.htmlDeveloper documentation is available athttps://docs.openstack.org/ceilometer/latest/Launchpad ProjectsServer:https://launchpad.net/ceilometerCode RepositoryServer:https://github.com/openstack/ceilometerBug TrackingBugs:https://bugs.launchpad.net/ceilometer/Release NotesServer:https://docs.openstack.org/releasenotes/ceilometer/IRCIRC Channel: #openstack-telemetry onOFTC.MailinglistProject usehttp://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-discussas the mailinglist. Please use tag[Ceilometer]in the subject for new
threads.