Saravanan666/pypi-org huggingface dataset:
Package: generalgui
generalguiExtends and simplifies tkinter functionality with built-in QoL improvements.This package and 6 other make upManderaGeneral.InformationPackageVerLatest ReleasePythonPlatformLvlTodoTestsgeneralgui2.0.82021-12-30 10:19 CET3.8,3.9Windows, Ubuntu21455.1 %Contentsgeneralgui├─Information├─Contents├─Installation├─Attributes└─TodoInstallationCommandgeneralvectorgenerallibrarypandasnumpypip install generalguiYesYesYesYesAttributesModule: generalgui├─Class: Button│  ├─Method: draw_text(Untested)│  └─Property: text├─Class: Checkbutton(Untested)│  ├─Method: draw_text(Untested)│  ├─Property: text│  ├─Method: toggle(Untested)│  └─Method: toggled(Untested)├─Class: Entry(Untested)│  ├─Method: draw_text(Untested)│  ├─Property: text│  ├─Method: toggle(Untested)│  └─Method: toggled(Untested)├─Class: Label│  ├─Method: draw_text(Untested)│  └─Property: text├─Class: MethodGrouper(Untested)│  ├─Method: draw_text(Untested)│  ├─Property: text│  ├─Method: toggle(Untested)│  └─Method: toggled(Untested)├─Class: Page├─Class: Password(Untested)├─Class: PaymentPage(Untested)├─Class: PlotPage(Untested)└─Class: SigninPage(Untested)├─Method: hook_signin_success(Untested)├─Method: register(Untested)└─Method: signin(Untested)TodoModuleMessageeditable.pyMove trace to generallibrary.text.py[UnitTest] for Method: draw_textcheckbutton.py[UnitTest] for Class: Checkbuttontoggle.py[UnitTest] for Method: toggletoggle.py[UnitTest] for Method: toggledentry.py[UnitTest] for Class: Entryinit.py[UnitTest] for Class: MethodGrouperpassword.py[UnitTest] for Class: Passwordpayment.py[UnitTest] for Class: PaymentPageplot.py[UnitTest] for Class: PlotPagesignin.py[UnitTest] for Class: SigninPagesignin.py[UnitTest] for Method: hook_signin_successsignin.py[UnitTest] for Method: registersignin.py[UnitTest] for Method: signinGenerated 2021-12-30 10:19 CET for commit380ad04.
Package: generalized-additive-models
generalized-additive-modelsGeneralized Additive Models (GAMs) in Python.AboutGAMs are uniquely placed on the interpretability vs. precitive power continuum.
In many applications they perform almost as well as more complex models, but are extremely interpretable.GAMs extend linear regression by allowing non-linear relationships between features and the target.The model is still additive, but link functions and multivariate splines facilitate a broad class of models.While GAMs are likely outperformed by non-additive models (e.g. boosted trees), GAMs are extremely interpretable.Read more about GAMs:Predictive Modeling Silver BulletGeneralized Additive Models: An Introduction with RA GAM is a statistical model in which the target variable depends on unknown smooth functions of the features,
and interest focuses on inference about these smooth functions.An exponential family distribution is specified for the target Y (.e.g Normal, Binomial or Poisson)
along with a link function g (for example the identity or log functions) relating the
expected value of Y to the predictor variables.InstallationInstall using pip:pip install generalized-additive-modelsExamplefromsklearn.datasetsimportload_diabetesfromsklearn.model_selectionimportcross_val_scorefromgeneralized_additive_modelsimportGAM,Spline,Categorical# Load datadata=load_diabetes(as_frame=True)df,y=data.data,data.target# Create modelterms=Spline("bp")+Spline("bmi",constraint="increasing")+Categorical("sex")gam=GAM(terms)# Cross validatescores=cross_val_score(gam,df,y,scoring="r2")print(scores)# array([0.26, 0.4 , 0.41, 0.35, 0.42])Go toRead the Docsto see full documentation.Contributing and developmentContributions are very welcome.
You can correct spelling mistakes, write documentation, clean up code, implement new features, etc.Some guidelines for development:Code must comply with the standard. See the GitHub action pipeline for more information.If possible, use existing algorithms fromnumpy,scipyandscikit-learn.Write tests, especically regression tests if a bug is fixed.Take backward compatibility seriously. API changes require good reason.Installation for local development:pip install -e '.[dev,lint,doc]'Create documentation locally:sudo apt install pandoc
sphinx-build docs _built_docs/html -W -a -E --keep-going
sphinx-autobuild docs _built_docs/html -v -j "auto" --watch generalized_additive_modelsOnce theversionhas been incremented, the commit must be tagged and pushed in order to publish to PyPi:git tag -a v0.1.0 -m "Version 0.1.0" b22724c
git push origin v0.1.0CitingTODO
Package: generalized-average
Generalized AverageCreating a set of routines that calcualte different types of averagesThe motivation is handling polling problems where we wish to mdofiy max and mean to a wider set of toolsAs it compares means , we foucs only on positive dataWhen you wish to use the package the means are as follow:
('HARMONIC', 0),
('ARITHMETIC', 1),
(Geometric  ,2),('LEHMER', 4),
):
When we read we set an object and average_type.
Then if we define object on fist time the boolean variable is true.
There is the value P which is used only for Lehmer (4)
Package: generalized-elastic-net
Generalized Elastic Net LibraryGeneralized elastic net is a penalty method for variable selection and regularization in high-dimensional sparse linear models. It generalizes and outperforms the lasso, ridge, and nonnegative elastic net through (1) capturing the penalty weights for individual features or/and interactions between any two features; (2) controling the range of the coefficients.The algorithm is available through this public Python library. It applys multiplicative updates on a quadratic programming problem but contains absolute values of variables and a rectangle-range constraint. The algorithm is shown to converge monotonically to the global in the publication.To installThe generalized elastic net library requires Python 3 and is pip friendly. To get started, simply do:pip install generalized-elastic-netor check out the code from out GitHub repository.
You can now use the package in Python with:from generalized_elastic_net import GeneralizedElasticNetExampleInput parameters:>>> N = 3
>>> K = 4
>>> Xmat = np.random.randn(N, K)
>>> Yvec = np.random.randn(N)
>>> print(Yvec)
[-0.72166018 -0.18367545 -0.77768828]
>>> lam_1 = 0.0034
>>> lam_2 = 0
>>> sigma = np.diag([1] * K)
>>> wvec = np.ones(K)
>>> lowbo = -1e5 * np.ones(K)
>>> upbo = np.inf * np.ones(K)Fit the model:>>> s = GeneralizedElasticNet(lam_1=lam_1, lam_2=lam_2, lowbo=lowbo, upbo=upbo, wvec=wvec, sigma=sigma)
>>> s.fit(Xmat=Xmat, Yvec=Yvec)Output prediction:>>> print(s.predict(X=Xmat))
[-0.72167257 -0.18245943 -0.77582073]Output coefficients:>>> print(s.coef_)
[-21095.74451325 -94129.49591188  25282.3047479  -10810.57632817]
Package: generalized-matth
Generalized Matthew Corrlelation  Coefficient (MCC)This package offers tools for calcualting (MCC)https://towardsdatascience.com/the-best-classification-metric-youve-never-heard-of-the-matthews-correlation-coefficient-3bf50a2f3e9aThe purpose was taking the knwon MCC and extending it to work on multi-class problems
In the init you can do one of the following:
1  Leave the avg_type empty - It will run the ggeneralized Matthew
2  Put 2 which will work similarly to clause 1
3 Put 3 which will run case The gneralized F1
Package: generalizedtrees
generalizedtreesLibrary for tree models: decision trees, model trees, mimic models, etc.InstallationThe latest stable version is on PyPI.
Install it with:pip install generalizedtreesDependenciesPython (>=3.8)scikit-learn (>=0.23.2)numpy (>=1.19.1)scipy (>=1.5.2)pandas (>=1.1.0)See requirements.txt for recommended dependencies (usually newest versions of all packages).DevelopmentWe use theGitHub issue trackerfor bugs and feature requests.BuildingWe use the standard Python process for building the package.
Run:python setup.py buildto locally build the package, and:python setup.py installto install the locally built package.TestingWe usepytestfor testing.
Run:pyteston the command line to run all tests.LicenseLicensed under the BSD 3-Clause License Copyright (c) 2020, Yuriy SverchkovSee LICENSE
Package: general-log-parser
IntroductionGeneral log parser is a tool for simple parsing of log files line by line. It assumes your log is in the form of a series of strings separated by tab or some kind of special field separator.It offers 2 modes:Parsing from standard input.Parsing from a file or a list of files.Usage examplesUses the test files from thetestsfolder.Parse from standard inputcattests/a20150505.log|logparserParse from single filelogparser-ltests/a.20150505.logParse from a list of fileslogparser-la.{}.log--from20150501--to20150506--input-dirtestsGet all lines contains ‘server1’logparser-ltests/a.20150505.log--line-filterserver1Get all lines contains ‘server1’ OR ‘server2’logparser-ltests/a.20150505.log--line-filterserver1--line-filterserver2Get all lines which does NOT contains ‘server1’logparser-ltests/a.20150505.log--not-line-filterserver1Get all lines where the third field > 9939928logparser-ltests/a.20150505.log--cond-filter"{2} > 9939928"Get all lines print only the second and third fieldslogparser-ltests/a.20150505.log--line-filterserver1-o"{1} {2}"AuthorsHa.MinhLicenseUses theMITlicense.History0.1.7 (2015-05-29)Fix bug with piped input0.1.6 (2015-05-22)Support unicode0.1.5 (2015-05-19)Port to python 30.1.4 (2015-05-16)Add negative filter.0.1.3 (2015-05-16)Update Readme and license.0.1.0 (2015-05-16)First release on PyPI.
Package: generalmainframe
generalmainframeMissing description.This package and 5 other make upManderaGeneral.InformationPackageVerLatest ReleasePythonPlatformLvlTodoTestsgeneralmainframe0.0.12021-11-18 23:48 CET3.8,3.9Windows, Ubuntu11100 %Contentsgeneralmainframe├─Information├─Contents├─Installation├─Attributes└─TodoInstallationCommandgenerallibrarypip install generalmainframeYesAttributesModule: generalmainframe(Untested)TodoModuleMessageinit.py[UnitTest] for Module: generalmainframeGenerated 2021-11-18 23:48 CET for commit22d109c.
Package: generalobj
Generalobj - the form handling package= Install =To install the package type simplypip install generalobjwith the desired version.= Setup =To use this package You need to have Django and python installed on your system or in your virtual environment.Go to project root, open up the settings.py and add generalobj to your INSTALLED_APPSRun the migration files: python manage migrate= How to use =Read the README.wanted file= Info =This package is designed for easy form handling for general processes.
For instance if You need to edit / create / search a model, this is an easy tool for that.
It uses DataTables heavily, and the search results can be exported to .xlsx file with one button press.
Many hooks / callbacks for formhandling can be used like postaction, postsaveaction, prevalidation, postvalidation.
Package: general-q
general_qAn easy to use library for general purpose reinforcement learning and experimentationInstallationpipinstall-Ugeneral_qor install withPoetrypoetryaddgeneral_q🛡 LicenseThis project is licensed under the terms of theMITlicense.
SeeLICENSEfor more details.📃 Citation@misc{general_q,author={axiom},title={An easy to use library for general purpose reinforcement learning and experimentation},year={2022},publisher={GitHub},journal={GitHub repository},howpublished={\url{https://github.com/khoda81/general_q}}}CreditsThis project was generated withpython-package-template
Package: generalrepytivity
General Repytivitygeneralrelativityholds some algorithms that render useful when doing
computations related to general relativity.For a first tutorial, take a look atthis jupyter
notebook;
for a second tutorial, take a look atthis other jupyter
notebook.Free software: MIT licenseFeaturesCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2018-01-06)First release on PyPI.
Package: general-robotics-toolbox
general_robotics_toolboxThegeneral_robotics_toolboxpackage provides a toolbox of Python functions for geometry, forward kinematics, inverse kinematics, and dynamics of robots. The functions are based on "A Mathematical Introduction to Robotic Manipulation" by Richard Murray, Zexiang Li, and S. Shankar Sastry (1994), "A spatial operator algebra for manipulator modeling and control" by G. Rodriguez, A. Jain, and K. Kreutz-Delgad, and lecture notes by Dr. John Wen, Rensselaer Polytechnic Institute.Documentation can be found at:https://general-robotics-toolbox.readthedocs.io/License: BSDInstallationgeneral-robotics-toolboxis avaliable on PyPi. To install with all features available, use:pip install general-robotics-toolbox[urdf,tesseract]For minimal installation with just the base Python kinematic functions, use:pip install general-robotics-toolboxFeaturesThe basegeneral_robotics_toolboxmodule provides the following:Rotation:hat,invhat,rot,R2rot,screw_matrix,q2r,R2q,q2rot,rot2q,quatcomplement,quatproduct,quatjacobian,rpy2R,R2rpyTransform:TransformclassRobot Parameters:RobotclassForward Kinematics:fwdkin,robotjacobianCanonical Geometric Subproblems:subproblems 0 - 3Inverse Kinematics:robot6_sphericalwrist_invkin(OPW),ur_invkin,iterative_invkin,equivalent_configurationsURDF ParserThegeneral_robotics_toolbox.urdfmodule provides functions to parse URDF files intoRobotstructures.Tesseract Robotics AccelerationThegeneral_robotics_toolbox.tesseractmodule uses the Tesseract Robot Planning Framework to accelerate
kinematics functions.Robot Raconteur Info ParsersThegeneral_robotics_toolbox.robotraconteurmodule provides functions to parse Robot Raconteur device info YAML
files intoRobotstructures.ROS 1 UtilitiesThegeneral_robotics_toolbox.ros_msgandgeneral_robotics_toolbox.ros_tfmodules provide utility functions to
convert ROS 1 messages and listen for TF2 messages.AcknowledgmentThis work was supported in part by Subaward No. ARM-17-QS-F-01, ARM-TEC-18-01-F-19, ARM-TEC-19-01-F-24, and ARM-TEC-21-02-F19 from the Advanced Robotics for Manufacturing ("ARM") Institute under Agreement Number W911NF-17-3-0004 sponsored by the Office of the Secretary of Defense. ARM Project Management was provided by Christopher Adams. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of either ARM or the Office of the Secretary of Defense of the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes, notwithstanding any copyright notation herein.This work was supported in part by the New York State Empire State Development Division of Science, Technology and Innovation (NYSTAR) under contract C160142.
Package: general-simulation-framework
General Simulation FrameworkGeneral Simulation FrameworkFramework for general purpose simulationsExplore the docs »View Demo·Report Bug·Request FeatureTable of ContentsAbout The ProjectGetting StartedPrerequisitesInstallationUsageContributingLicenseContactAbout The ProjectGSF is a framework for the implementation of simulation tools which offers the possibility
of using and extending the same components to generate a wide variety of simulation projects.
Its use makes it possible to dispense with the knowledge of several simulation processes,
save programming time and maintain a standard structure in the developed solutions.Getting StartedTo get a local copy up and running follow these simple steps.PrerequisitesPython >= 3.9InstallationDownload and install by pip:pipinstallgeneral-simulation-frameworkUsageYou can run the examples inColaboratory.For more information, please refer to theDocumentationContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.Fork the ProjectCreate your Feature Branch (git checkout -b feature/your_feature)Commit your Changes (git commit -m 'Add a feature')Push to the Branch (git push origin feature/your_feature)Open a Pull RequestLicenseDistributed under the MIT License. SeeLICENSEfor more information.ContactRolandoAndrade -GitHubProject Link:General Simulation Framework
Package: general-tamsat-alert
General TAMSAT AlertA library to perform analysis of time series data in the way used in TAMSAT Alert.InstallationFrom PyPIpip install general-tamsat-alertFrom sourcegitclonehttps://github.com/brightlego/general_tamsat_alert.gitcdgeneral_tamsat_alert
python3-mbuild
python3-mpipinstalldist/*.whlDocumentationDocumentation is available here
Package: generaltool
generaltoolLibrary code with no dependencies.Table of Contentsgeneraltool├─Dependency Diagram for ManderaGeneral├─Installation showing dependencies├─Information├─Attributes└─ContributionsDependency Diagram for ManderaGeneralflowchart LR
0([import]) --> 3([file])
0([import]) --> 2([library])
1([tool]) --> 2([library])
3([file]) --> 4([packager])
2([library]) --> 4([packager])
2([library]) --> 3([file])
click 0 "https://github.com/ManderaGeneral/generalimport"
click 1 "https://github.com/ManderaGeneral/generaltool"
click 2 "https://github.com/ManderaGeneral/generallibrary"
click 3 "https://github.com/ManderaGeneral/generalfile"
click 4 "https://github.com/ManderaGeneral/generalpackager"
style 1 stroke:#482Installation showing dependenciespip installgeneraltoolNo dependencies✔️InformationPackageVerLatest ReleasePythonPlatformCovergeneraltool0.1.32024-01-24 07:20 CET3.8,3.9,3.10,3.11,3.12Windows, Ubuntu99.1 %AttributesModule: generaltool└─Function: enforce_literalsContributionsIssue-creation, discussions and pull requests are most welcome!Generated 2024-01-24 07:20 CET for commitmaster.
Package: generalutils
GeneralUtilsThis package contains some comon general utilisations modulesFree software: MIT licenseDocumentation:https://generalutils.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-07-08)First release on PyPI.Guard method to check whether a path existsUnit test to check whether guard method works0.1.1 (2019-07-20)Guard method to test whether an object is none or emptyUnit test to check whether guard method works0.1.2 (2019-07-21)Guard method to test whether the returned HTTP responses are correctAdded a list of basic HTTP status codesUnit test to check whether guard method works0.1.3 (2019-07-23)Guard method to test whether a command line argument is valid or invalidUnit test to check whether guard method works0.1.4 (2019-07-28)Guard method to check whether a path exists (returns boolean)Unit test to check whether guard method worksChanged method name: Valid -> IsValidChanged method name: IsNotNoneOrEmpty -> NotNoneOrEmptyUpdated unit tests with the correct method name0.1.5 (2019-08-20)Guard method to check whether the current working directory is within the base pathUnit tets to check whether guard method exists0.1.6 (2019-08-20)Bug fix: Check whether cwd and base path are equal
Package: general-utils
General UtilitiesA General Utilities Library that provides a Python interface to many technologiesAvailableObjects:RabbitMQ for queueing purposeRedis as a secondary storageMinIO for storing and retrieving filesAPI requests moduleAvailableMethods:Logging moduleKindly reffer the docstrings for further details reagriding the objects and methods :fromgeneral_utilsimportutilshelp(utils)##-- OR --##print(utils.__doc__)
Package: general-utils-juan-palma-borda
General Utils (0.2.0)Group of general utils from different projects.Included classes:Point classSingleton patternColors class: bcolors (terminal) and wcolors (rgb)Prints class: Print list, dicts, dataframes and separatorsIncremental_math_operations class: Avg and standard desviation
calculated as incremental operation.map_value function
Package: generalvector
generalvectorSimple immutable vectors.Table of Contentsgeneralvector├─Dependency Diagram for ManderaGeneral├─Installation showing dependencies├─Information├─Attributes├─Contributions└─TodoDependency Diagram for ManderaGeneralflowchart LR
2([library]) --> 4([vector])
1([tool]) --> 2([library])
3([file]) --> 5([packager])
2([library]) --> 3([file])
0([import]) --> 2([library])
0([import]) --> 3([file])
2([library]) --> 5([packager])
click 0 "https://github.com/ManderaGeneral/generalimport"
click 1 "https://github.com/ManderaGeneral/generaltool"
click 2 "https://github.com/ManderaGeneral/generallibrary"
click 3 "https://github.com/ManderaGeneral/generalfile"
click 4 "https://github.com/ManderaGeneral/generalvector"
click 5 "https://github.com/ManderaGeneral/generalpackager"
style 4 fill:#482Installation showing dependenciespip installgeneralvectorgenerallibrary✔️InformationPackageVerLatest ReleasePythonPlatformCovergeneralvector1.5.1142023-06-05 11:30 CEST3.8,3.9,3.10,3.11Windows, Ubuntu52.4 %AttributesModule: generalvector├─Class: Vec│  ├─Method: clamp│  ├─Method: distance│  ├─Method: hex│  ├─Method: inrange│  ├─Method: length│  ├─Method: max│  ├─Method: min│  ├─Method: normalized│  ├─Method: random│  ├─Method: range│  └─Method: round└─Class: Vec2├─Method: clamp├─Method: distance├─Method: inrange├─Method: length├─Method: max├─Method: min├─Method: normalized├─Method: random├─Method: range└─Method: roundContributionsIssue-creation, discussions and pull requests are most welcome!TodoModuleMessagegeneral.pyMove most methods to _GeneralVector.Generated 2023-06-05 11:30 CEST for commitmaster.
Package: generalwords
=============General Words=============.. image:: https://badge.fury.io/py/generalwords.png:target: http://badge.fury.io/py/generalwords.. image:: https://travis-ci.org/petrilli/generalwords.png?branch=master:target: https://travis-ci.org/petrilli/generalwords.. image:: https://pypip.in/d/generalwords/badge.png:target: https://pypi.python.org/pypi/generalwordsOften, when building an application, I've had occasions where I need to providea nonce of some sort to a user.  A nonce is some thing, whether number, orotherwise, that is used only once.Goals-----The over-arching goal was for this to be simple to use,and reasonably fast. Next, I wanted something that the average user would beable to enter manually with minimal risk.  This ruled out a lot of the crazymixed-case alphanumeric strings that are often used.  Finally,a goal was to have a reasonably large number of permutations available sothat the nonce, while not cryptographically strong, was strong enough foruses like registration, password reset, etc.  For example, with the default`word source`_, and a selection of three words, there are`almost 19 billion permutations`_ available.  Presuming you're doing any formof brute-force-attack prevention, this should be more than adequate... _almost 19 billion permutations: http://www.wolframalpha.com/input/?i=number+of+3+permutations+of+2668+objectsWord Source-----------The list of words comes from the `New General Service List`_ v1.01. The originallist, distributed in Excel format, is covered under the`Creative Commons Attribution 3.0 Unported License`_. More information can befound on the website. From the base data, the following changes have been made:#. The list was converted from Excel to a simple one-word-per-line text fileformat;2. Only headwords were retained for clarity;3. Supplemental words, such as months and numbers, were added;3. Words less than 4 characters were removed.Combined, a total of 2,668 headwords were retained... _New General Service List: http://www.newgeneralservicelist.org/.. _Creative Commons Attribution 3.0 Unported License: http://creativecommons.org/licenses/by/3.0/deed.en_USUsage Example-------------The library is trivially easy to use::>>> from generalwords import *>>> get_word()'tire'>>> get_word()'offense'>>> get_words(n=3)('climb', 'repair', 'force')In the future, there may be more options, but not right now.Not Done Yet------------While the library will never be massively complicated, there's a few things I'dlike to have in the future:* Expand to other languages* Add additional word sourcesHistory-------0.1.0 (2015-55)---------------------* First release on PyPI.