Saravanan666/pypi-org huggingface dataset:
Package: jtypes.jpype
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.jpypeA Python to Java bridge.Overviewjtypes.jpypeis a bridge between Python and Java, allowing these to intercommunicate.It is an effort to allow Python programs full access to Java class libraries.PyPI record.jtypes.jpypeis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Steve Menard’sJPypepackage
by reimplementing whole its functionality in a clean Python instead of C/C++.About JPype:Borrowed from theoriginal website:JPypeis an effort to allow python programs full access to java class libraries.This is achieved not through re-implementing Python, as Jython/JPython has done,
but rather through interfacing at the native level in both virtual machines.Eventually, it should be possible to replace Java with python in many, thoughnot all, situations. JSP, Servlets, RMI servers and IDE plugins are good candidates.Known Bugs/LimitationsJava classes outside of a package (in the<default>) cannot be imported.Because of lack of JVM support, you cannot shutdown the JVM and then restart it.Some methods rely on the “current” class/caller.Since calls coming directly from python code do not have a current class,
these methods do not work.The User Manual lists all the known methods like that.RequirementsEither the Sun/Oracle JRE/JDK or OpenJDK.InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.jpypeTo ensure everything is running correctly you can run the tests using:python -m jt.jpype.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.jpypeor on development mode:python -m pip install --editable ./jtypes.jpypePrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright 2013-2018 Adam KarpierzLicensed under the Apache License, Version 2.0http://www.apache.org/licenses/LICENSE-2.0Please refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog0.6.3b3 (2018-11-08)Synchro with JPype master branch.Update of the required setuptools version.Minor setup and tests improvements.0.6.3b1 (2018-05-22)Synchro with JPype master branch.Update of the required setuptools version.0.6.2b5 (2018-03-13)Improvement and simplification of setup and packaging.0.6.2b3 (2018-01-29)Development moved to github.General improvements and update.0.6.2b1 (2017-01-19)Synchro with JPype release.0.6.1b3 (2017-01-01)Third beta release.0.6.1b1 (2016-12-04)Second beta release.0.6.1b1 (2016-09-24)First beta release.0.1.1b0 (2013-10-05)Initial version.
Package: jtypes.jython
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.jythonJava Embedded Python.Overviewjtypes.jythonembeds CPython in Java.It is safe to use in a heavily threaded environment.PyPI record.jtypes.jythonis a Python Java package, based on thectypesorcffilibrary.It is an implementation of substantial part ofJythonJava bridge and API
by reimplementing its functionality and in a clean CPython.About Jython:Borrowed from theoriginal website:What is Jython?Jythonis an implementation of the high-level, dynamic, object-oriented language
Python seamlessly integrated with the Java platform. The predecessor to Jython, JPython,
is certified as 100% Pure Java. Jython is freely available for both commercial and
non-commercial use and is distributed with source code. Jython is complementary to Java
and is especially suited for the following tasks:Embedded scripting - Java programmers can add the Jython libraries to their system
to allow end users to write simple or complicated scripts that add functionality to the
application. Interactive experimentation - Jython provides an interactive interpreter
that can be used to interact with Java packages or with running Java applications.
This allows programmers to experiment and debug any Java system using Jython.
Rapid application development - Python programs are typically 2-10X shorter than the
equivalent Java program. This translates directly to increased programmer productivity.
The seamless interaction between Python and Java allows developers to freely mix the two
languages both during development and in shipping products.RequirementsJava >= 1.7 - either the Sun/Oracle JRE/JDK or OpenJDK.Numpy (optional) >= 1.5 (numpy >= 1.7 recommended)InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.jythonTo ensure everything is running correctly you can run the tests using:python -m jt.jython.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.jythonor on development mode:python -m pip install --editable ./jtypes.jythonPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright 2015-2018 Adam KarpierzLicensed under the Apache License, Version 2.0http://www.apache.org/licenses/LICENSE-2.0Please refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog0.0.3a3 (2018-11-08)Update of the required setuptools version.Minor setup and tests improvements.0.0.3a0 (2018-05-22)Update of the required setuptools version.0.0.2a0 (2018-02-26)Improvement and simplification of setup and packaging.0.0.1a0 (2018-01-29)Development moved to github.0.0.0 (2013-10-05)Initial version.
Package: jtypes.py4j
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.py4jEnables Python to dynamically access arbitrary Java objects.Overviewjtypes.py4jenables Python programs to dynamically access arbitrary Java objects via
Java’s Native Invocation Interface (JNI).PyPI record.jtypes.py4jis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Barthelemy Dagenais’sPy4Jpackage
by reimplementing its functionality in a clean Python via JNI instead of Python and
Java via custom API service.About Py4J:Borrowed from theoriginal website:Py4Jenables Python programs running in a Python interpreter to dynamically
access Java objects in a Java Virtual Machine. Methods are called as if the
Java objects resided in the Python interpreter and Java collections can be
accessed through standard Python collection methods.Py4Jalso enables Java
programs to call back Python objects.Here is a brief example of what you can do withPy4J.The following Python program creates a java.util.Random instance from a JVM
and calls some of its methods.>>>frompy4j.java_gatewayimportJavaGateway>>>gateway=JavaGateway()# connect to the JVM>>>random=gateway.jvm.java.util.Random()# create a java.util.Random instance>>>number1=random.nextInt(10)# call the Random.nextInt method>>>number2=random.nextInt(10)>>>print(number1,number2)(2,7)RequirementsJava Runtime (JRE) or Java Development Kit (JDK), and NumPy.InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.pip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.py4jTo ensure everything is running correctly you can run the tests using:python -m jt.py4j.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.py4jor on development mode:python -m pip install --editable ./jtypes.py4jPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright (c) 2015-2018, Adam KarpierzLicensed under the BSD licensehttp://opensource.org/licenses/BSD-3-ClausePlease refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog0.10.8a1 (2018-11-08)Synchro with Py4J master branch (v.0.10.8).Update of the required setuptools version.Minor setup and tests improvements.0.10.7a2 (2018-09-14)Synchro with Py4J master branch (v.0.10.7).0.10.7a1 (2018-06-15)Synchro with Py4J master branch (v.0.10.7).0.10.6a4 (2018-05-22)Update of the required setuptools version.0.10.6a3 (2018-02-26)Improvement and simplification of setup and packaging.0.10.6a2 (2018-01-29)Development moved to github.Version numbering in sync. with the original Py4J.0.0.1a1 (2017-01-10)First alpha release.0.0.1a0 (2015-08-05)Initial version.
Package: jtypes.pyjava
jtypes.pyjavaA Python to Java bridge.Overviewjtypes.pyjavais a bridge allowing to use Java classes in regular Python code.PyPI record.Documentation.jtypes.pyjavais an almost fully compliant implementation of Remi Rampin’sPyJavapackage by reimplementing whole its functionality in a clean Python
instead of C.jtypes.pyjavapackage is closely based on thejvmandjniPython packages.About PyJava:Borrowed from theoriginal website:PyJavais a bridge allowing to use Java classes in regular Python code.It is similar toJPype.It is a C extension that uses JNI to access a Java virtual machine,
meaning that it can be used anywhere Python is available. It is not
a different interpreter likeJythonand does
not require anything, other than a JRE. The JVM dynamic library is load
dynamically through pyjava.start() (some basic logic for locating this
library on major platforms will be provided).The integration with Java code is meant to be as complete as possible,
allowing to use Java and Python objects seemlessly and converting objects
back and forth when Java code is called. Furthermore, subclassing Java
classes or interfaces in Python code to allow callback from Java is planned
for the 0.2 version.Please note that this extension is still at a very early stage of
development and probably shouldn’t be used for anything.RequirementsEither the Sun/Oracle JRE/JDK or OpenJDK.InstallationPrerequisites:Python 3.7 or higherhttps://www.python.org/3.7 with Java 8 is a primary test environment.pip and setuptoolshttps://pypi.org/project/pip/https://pypi.org/project/setuptools/To install run:python -m pip install --upgrade jtypes.pyjavaDevelopmentPrerequisites:Development is strictly based ontox. To install it run:python -m pip install --upgrade toxVisitdevelopment page.Installation from sources:clone the sources:git clonehttps://github.com/karpierz/jtypes.pyjava.gitjtypes.pyjavaand run:python -m pip install ./jtypes.pyjavaor on development mode:python -m pip install --editable ./jtypes.pyjavaLicenseCopyright (c) 2016-2022 Adam KarpierzLicensed under the MIT Licensehttps://opensource.org/licenses/MITPlease refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog0.1.5b6 (2022-01-29)Drop support for Python 3.6.Setup update.0.1.5b5 (2021-10-16)dll_path argument of JVM() can also be type os.PathLike.Copyright year update.Setup update.0.1.5b2 (2020-11-10)Fix for exception handling in start(…).Add support for Python 3.8 and 3.9.Drop support for Python2.General update, improvements and cleanup.Setup update.0.1.5a10 (2019-07-10)Last release for Python2.0.1.5a9 (2018-11-08)Update of the required setuptools version.Minor setup and tests improvements.0.1.5a5 (2018-05-22)Update of the required setuptools version.0.1.5a4 (2018-02-26)Improvement and simplification of setup and packaging.0.1.5a3 (2018-01-29)Development moved to github.General improvements and update.0.0.16a1 (2017-05-13)0.0.15a2 (2017-01-03)Next alpha releases.0.0.10a1 (2016-09-24)First alpha release.0.0.1 (2016-01-05)Initial version.
Package: jtypes.pyjnius
Currently only as placeholder (because a base package jtypes.jvm is still in development)jtypes.pyjniusDynamic access to Java classes from Python.Overviewjtypes.pyjniusis a bridge between Python and Java, allowing these to intercommunicate.It is an effort to allow python programs full access to Java class libraries.PyPI record.jtypes.pyjniusis a lightweight Python package, based on thectypesorcffilibrary.It is an almost fully compliant implementation of Kivy Team’sPyJNIuspackage
by reimplementing whole its functionality in a clean Python instead of Cython.About PyJNIus:Borrowed from theoriginal website:PyJNIusis a Python library for accessing Java classes.A minimalPyJNIusexample looks something like this:Quick overview>>>fromjniusimportautoclass>>>System=autoclass('java.lang.System')>>>System.out.println('Hello world')Helloworld>>>Stack=autoclass('java.util.Stack')>>>stack=Stack()>>>stack.push('hello')>>>stack.push('world')>>>print(stack.pop())world>>>print(stack.pop())helloRequirementsEither the Sun/Oracle JRE/JDK or OpenJDK.InstallationPrerequisites:Python 2.7 or higher or 3.4 or higherhttp://www.python.org/2.7 and 3.6 are primary test environments.For usage with python-for-android:Gethttp://github.com/kivy/python-for-androidInstall a distributionpip and setuptoolshttp://pypi.python.org/pypi/piphttp://pypi.python.org/pypi/setuptoolsTo install run:python -m pip install --upgrade jtypes.pyjniusTo ensure everything is running correctly you can run the tests using:python -m jt.jnius.testsDevelopmentVisitdevelopment pageInstallation from sources:Clone thesourcesand run:python -m pip install ./jtypes.pyjniusor on development mode:python -m pip install --editable ./jtypes.pyjniusPrerequisites:Development is strictly based ontox. To install it run:python -m pip install toxLicenseCopyright (c) 2014-2018 Adam KarpierzLicensed under the MIT Licensehttp://opensource.org/licenses/MITPlease refer to the accompanying LICENSE file.AuthorsAdam Karpierz <adam@karpierz.net>Changelog1.1.4b4 (2018-11-08)Synchro with pyjnius master branch.Update of the required setuptools version.Minor setup and tests improvements.1.1.4b0 (2018-10-26)Synchro with pyjnius master branch.1.1.2b4 (2018-05-23)Bug fixes in jnius_config.Synchro with pyjnius master branch.1.1.2b3 (2018-05-22)Update of the required setuptools version.1.1.2b2 (2018-02-26)Improvement and simplification of setup and packaging.1.1.2b1 (2018-01-29)Development moved to github.General improvements and update.1.1.2a0 (2017-04-01)Development version.1.1.0b2 (2017-01-21)Documentation update.1.1.0b1 (2017-01-01)First beta release.1.1.0a1 (2014-11-30)Initial version.
Package: ju
juJSON schema UtilsTo install:pip install juExamplesRoutesRepresents a collection of routes in an OpenAPI specification.Each instance of this class contains a list ofRouteobjects, which can be accessed and manipulated as needed.>>> from yaml import safe_load
>>> spec_yaml = '''
... openapi: 3.0.3
... paths:
...   /items:
...     get:
...       summary: List items
...       responses:
...         '200':
...           description: An array of items
...     post:
...       summary: Create item
...       responses:
...         '201':
...           description: Item created
... '''
>>> spec = safe_load(spec_yaml)
>>> routes = Routes(spec)
>>> len(routes)
2
>>> list(routes)
[('get', '/items'), ('post', '/items')]
>>> r = routes['get', '/items']
>>> r
Route(method='get', endpoint='/items')
>>> r.method_data
{'summary': 'List items', 'responses': {'200': {'description': 'An array of items'}}}
Package: juans
juansjuans is a kind of attitude when we competing with others!Table of ContentsAbout The ProjectGetting StartedPrerequisitesExampleLicenseContactAbout The Projectjuans is a package for fast iterating your deep learning experiment, it has some helpful tricks which are often used in competition and work, and more tricks are on the way!Getting StartedInstallationpipinstalljuansExampletobeadded(back to top)LicenseDistributed under the MIT License. SeeLICENSEfor more information.(back to top)ContactYour Name -易灿-972775099@qq.com(back to top)
Package: jubakit
jubakit: Jubatus Toolkitjubakit is a Python module to access Jubatus features easily.
jubakit can be used in conjunction withscikit-learnso that you can use powerful features like cross validation and model evaluation.
See theJubakit Documentationfor the detailed description.Currently jubakit supportsClassifier,Regression,Anomaly,Recommender,NearestNeighbor,Clustering,Burst,BanditandWeightengines.Installpip install jubakitRequirementsPython 2.7, 3.3, 3.4 or 3.5.Jubatusneeds to be installed.Although not mandatory,installing scikit-learnis required to use some features like K-fold cross validation.Quick StartThe following example shows how to perform train/classify using CSV dataset.fromjubakit.classifierimportClassifier,Schema,Dataset,Configfromjubakit.loader.csvimportCSVLoader# Load a CSV file.loader=CSVLoader('iris.csv')# Define types for each column in the CSV file.schema=Schema({'Species':Schema.LABEL,},Schema.NUMBER)# Get the shuffled dataset.dataset=Dataset(loader,schema).shuffle()# Run the classifier service (`jubaclassifier` process).classifier=Classifier.run(Config())# Train the classifier.for_inclassifier.train(dataset):pass# Classify using the trained classifier.for(idx,label,result)inclassifier.classify(dataset):print("true label:{0}, estimated label:{1}".format(label,result[0][0]))Examples by TopicsSee theexampledirectory for working examples.ExampleTopicsRequires scikit-learnclassifier_csv.pyHandling CSV file and numeric featuresclassifier_shogun.pyHandling CSV file and string featuresclassifier_digits.pyHandling toy dataset (digits)✓classifier_libsvm.pyHandling LIBSVM file✓classifier_kfold.pyK-fold cross validation and metrics✓classifier_parameter.pyFinding best hyper parameter✓classifier_hyperopt_tuning.pyFinding best hyper parameter using hyperopt✓classifier_bulk.pyBulk Train-Test Classifierclassifier_twitter.pyHandling Twitter Streamsclassifier_model_extract.pyExtract contents of Classfier model fileclassifier_sklearn_wrapper.pyClassification using scikit-learn wrapper✓classifier_sklearn_grid_search.pyGrid Search example using scikit-learn wrapper✓classifier_tensorboard.pyVisualize a training process using TensorBoard✓regression_boston.pyRegression with toy dataset (boston)✓regression_csv.pyRegression with CSV fileregression_sklearn_wrapper.pyRegression using scikit-learn wrapper✓anomaly_auc.pyAnomaly detection and metricsrecommender_npb.pyRecommend similar itemsnearest_neighbor_aaai.pySearch neighbor itemsclustering_2d.pyClustering 2-dimensional datasetburst_dummy_stream.pyBurst detection with stream databandit_slot.pyMulti-armed bandit with slot machine exampleweight_shogun.pyTracing fv_converter behavior using Weightweight_model_extract.pyExtract contents of Weight model fileLicenseMIT License
Package: jubatus
Jubatus Python ClientJubatus client library for Python.
Seepypifor the latest release.All codes are generated byjenerator.Install$ pip install jubatusLicenseMIT LicensePackagingTo make Python packages, rungenerate.shand package it:$ ./generate.sh
$ python setup.py sdistBefore making Python packages, you need to build Python files from .idl.
Run thegenerate.shto generate your own Python client, you need to buildjenerator, a client code generator.See the document for the details:English/Japanesejenerator source is can be found in the main Jubatus repository:https://github.com/jubatus/jubatus/tree/master/tools/jenerator/Make sure to putjeneratorin yourPATHenvironment variable.
Package: jubeatools
JubeatoolsA toolbox to convert between jubeat file formatsHow to installpipinstalljubeatoolsYou need Python 3.9 or greaterMore details inthe documentationHow to use in a command linejubeatools${source}${destination}-f${outputformat}(...formatspecificoptions)Again, more details inthe documentationWhich formats are supportedinputoutputmemonv1.0.0✔️✔️v0.3.0✔️✔️v0.2.0✔️✔️v0.1.0✔️✔️legacy✔️✔️jubeat analyser#memo2✔️✔️#memo1✔️✔️#memo✔️✔️mono-column (1列形式)✔️✔️jubeat (arcade).eve✔️✔️jubeat plus.jbsq✔️✔️malody.mc (Pad Mode)✔️✔️
Package: jubi
An async jubi API library for PythonFree software: MIT licenseDocumentation:https://jubi.readthedocs.orgGitHub:https://github.com/mozillazg/jubiPyPI:https://pypi.python.org/pypi/jubiPython version: 2.7, pypy, 3.3, 3.4, 3.5, 3.6FeaturesTODOInstallationAt the command line:$ pip install jubiUsageTODOCreditsThis package was created withCookiecutterand themozillazg/cookiecutter-pypackageproject template.
Package: juce-rsa
Python 3 bindings for juce::RSAKeyInstallationTested in both Windows and Linux.
To use the package, simply install it using pip:python3-mpipinstalljuce_rsaUsageimportjuce_rsa# You can create a new key pair or instantiate a juce_rsa.RSAKey()pub,priv=juce_rsa.create_key_pair(1024)# Use the public key to encrypt a secretsecret=3encrypted=pub.apply(secret)# Use the private key to decrypt the secretdecrypted=priv.apply(encrypted)print(encrypted,secret,decrypted)assert(secret==decrypted)You can also instantiate RSAKey objects by using the string produced by the juce::RSAKey::toString() method.key=juce_rsa.RSAKey("648929cb8e96db2df812d9d775ffaacb93e1d7261f54c12f3cbc824d774d91995d942c4b487b3dd895b5b33ff2fb2c8bc2b41c4e9e238e3519f417918c479c3d, 7dab743e723c91f97617904d537f957e78da4cefa729f17b0beba2e0d520f6011d8f0ddd3bb30d3c2486972fc46d8abd93826595711fd429b6f2efbde2762895")
Package: juce-rsa-python
Juce RSA PythonThis is a juce RSA algorithm implementation without compiling C++ source codeInstallpip3installjuce-rsa-pythonUsagefromjuce_rsa_pythonimportJuceRSApublic_key='11,76e78a6f1f8158f8bbc85d7737218096953fedfa823a4ed45e884c3b7e7d3d0fe99cfdeae8fc5abdc1451fce4894fac9b19ae0b30973041b531753153f6f29ab'private_key='5aed4bbe6362e9af262fcf00cfce5345f9a95ba172a50f1adee0b2c4156ed4566ad34d099ef3157a74cd8b43b1b3072e44aeb65db623a66976435b59edbe0069,76e78a6f1f8158f8bbc85d7737218096953fedfa823a4ed45e884c3b7e7d3d0fe99cfdeae8fc5abdc1451fce4894fac9b19ae0b30973041b531753153f6f29ab'text='Hello World!'# encryptpublic_juce_rsa=JuceRSA(public_key)encrypted=public_juce_rsa.encrypt(text)# print(encrypted)# e72a9ff9b0b36bf96e5fa6a6820a9f86f11b2a82594185731368c01e466ccb24fd2c29a87ac9cd025a4f45e6b1cacf39cc2c5906d139f21f09cbcaa0f7277fb# decryptprivate_juce_rsa=JuceRSA(private_key)decrypted=private_juce_rsa.decrypt(encrypted)# print(decrypted)# Hello World!
Package: jucodecorrector
Code Fixer for Jupyter NotebookDescriptionThe Code Examiner and Corrector is a Python script designed to be used in Jupyter
Notebook. It analyzes error code snippets and provides suggestions for correct code
revisions. The script utilizes ChatGPT, an AI language model, to generate recommendations
based on the given error message and context.FeaturesAnalyzes error code snippets and provides suggestions for code revisions.Utilizes the OpenAI GPT-3.5 language model for generating code recommendations.Helps improve code quality and assists in debugging errors.RequirementsJupyter NotebookPython 3.xOpenAI GPT-3.5 API credentials (see OpenAI documentation for details)Dependencies (install via pip):jupyter_ai_magicsthen in jupyter notebook %load_ext jupyter_ai_magicsopenaiother dependencies as requiredUsageEnsure you have set up the OpenAI API credentials by following the instructions in the
documentation.Install the package with pip or clone the repoOpen your jupyter notebook or jupyter lab file .ipynbImport the class AiCodeFixer from the modul code_fixer_assistent.When error occures, call the function AiCodeCorrector().fix_broken_code() and review the
recommendations and suggestions provided by ChatGPT.Apply the recommended code revisions to fix errors and improve code quality.Repeat the process for any additional error code snippets.NotesEnsure you have a stable internet connection to interact with the ChatGPT API.Be cautious when making changes to your code based on the suggestions provided. Verify the
changes and test the code after revision.The effectiveness of the code suggestions and fixes depends on the quality of the error message
and the complexity of the code.Experiment with different code snippets and variations to obtain the best results.AcknowledgmentsThe code_fixer_assistent.py script utilizes the OpenAI GPT-3.5 language model. For more
information about the language model and OpenAI API, visit the official OpenAI documentation.