Saravanan666/pypi-org huggingface dataset:
Package: entropylab
EntropyEntropy is a lab workflow management package built for, but not limited-to, streamlining the process of running quantum information processing experiments.Check out ourdocsfor more informationEntropy is built to solve a few major hurdles in experiment design:Building, maintaining and executing complex experimentsData collectionDevice managementCalibration automationTo tackle these problems, Entropy is built around the central concept of a graph structure. The nodes of a graph give us a convenient way
to brake down experiments into stages and to automate some tasks required in each node. For example data collection is automated, at least in part,
by saving node data and code to a persistent database.Device management is the challenge of managing the state and control of a variety of different resources. These include, but are not limited to, lab instruments.
They can also be computational resources, software resources or others. Entropy is built with tools to save such resources to a shared database and give nodes access to
the resources needed during an experiment.Performing automatic calibration is an important reason why we built Entropy. This could be though of as the use case most clearly benefiting from shared resources, persistent
storage of different pieced of information and the graph structure. If the final node in a graph is the target experiment, then all the nodes between the root and that node are often
calibration steps. The documentation section will show how this can be done.The Entropy system is built with concrete implementations of the various parts (database backend, resource management and others) but is meant to be completely customizable. Any or every part of the system can be tailored by end users.ModulesPipeline: A simple execution engine for a collection of nodes. Allows passing data between nodes and saving results to a database. Also includes a dashboard for viewing results.InstallationInstallation is done from pypi using the following commandpipinstallentropylabVersioning and the Alpha releaseThe current release of Entropy is version 0.x.x. You can learn more about the Entropy versioning scheme in the versioning
document. There will more than likely be breaking changes to the API for a while until we learn how things should be done.
Package: entropylab-qpudb
Entropy QPU DBBackgroundThe entropy QPU DB is an extension designed to make it easy to calibrate
and manage experimentation of quantum processing units.
It provides two abilites:to run automated calibrations of all parameters
related to the qubits, couplers and readout elements that make up a QPU,
using calibration graphs, as inspired by Google'sOptimusmethod.to store the calibration data in a persistent storage DB, and integrate that DB
into the calibration framework.One of the challenges of bringing up a QPU from "scratch" is
that it's not always straightforward to understand which calibrations
need to be, at what order and with which parameters. On the other hand,
QPUs contain many parameters which require calibration and tracking,
which makes automated tools essential for this task.This means that the process of building the calibration graph for a QPU needs to be
needs to be both flexible and powerful. The QPU DB is designed to allow to do just that.Getting startedThis package requires having entropy installed, which can be obtained from pipyhere.To get started, check out the tutorials underdocs/.Contact infoThe QPU DB was conceived and developed byLior Ella,Gal Winer, Ilan Mitnikov and Yonatan Cohen, and is
maintained byGuy Kerem. For any questions, suggestions or otherwise - please contact us on
ourdiscord server!
Package: entropy-pooling
Entropy Pooling in PythonDue to popular demand from developers, this package contains the Entropy Pooling
implementation from thefortitudo.tech Python packagewith a more permissive BSD 3-Clause license.This package contains only one function called ep and has minimal dependencies
with just scipy. Seethis examplefor how you can import and use the ep function.You can explore the example without local installations usingBinder.Installation instructionsInstallation can be done via pip:pip install entropy-poolingTheoryEntropy Pooling is a powerful method for implementing subjective views and
performing stress-tests for fully general Monte Carlo distributions. It was first
introduced byMeucci (2008)and refined
with sequential algorithms byVorobets (2021).The original Entropy Pooling approach solves the minimum relative entropy problem$$q=\underset{x}{\text{argmin}}\lbrace x^{T}\left(\ln x-\ln p\right)\rbrace$$subject to the constraints$$Gx\leq h \quad \text{and} \quad Ax=b.$$The constraints matrices $A$ and $G$ contain transformations of the Monte Carlo
simulation that allow you to implement subjective views and stress-tests by
changing the joint scenario probabilities from a prior probability vector $p$
to a posterior probability vector $q$.A useful statistic when working with Entropy Pooling is the effective number of
scenarios introduced byMeucci (2012). For
a causal Bayesian nets overlay on top of Entropy Pooling, seeVorobets (2023).
Package: entropyrank
EntropyBasedKeyPhraseExtractionThis is the official implementation of the EntropyRank key phrase extractor fromhttps://openreview.net/forum?id=WCTtOfIhsJ. Please cite the paper and star this repo if you find EntropyRank useful! Thanks!@inproceedings{
tsvetkov2023entropyrank,
title={EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression},
author={Alexander Tsvetkov and Alon Kipnis},
booktitle={ICML 2023 Workshop Neural Compression: From Information Theory to Applications},
year={2023},
url={https://openreview.net/forum?id=WCTtOfIhsJ}
}InstallationTo install directly:pip install entropyrankTo install from repository, from src/entropyrank run:pip install -r requirements.txtYou also need to download the 'en_core_web_sm' model for spaCy, which can be done by running:spacy download en_core_web_smUsageTo use the package, importEntropyRankfrom the module and create an instance of it:fromentropyrankimportEntropyRankextractor=EntropyRank()Then, you can extract key phrases from a given text using theextract_key_phrasesmethod:phrases=extractor.extract_key_phrases(text=text,number_of_key_phrases=3,)The parameters of theextract_key_phrasesmethod are:text: the input text to extract key phrases from.number_of_key_phrases: the number of key phrases to extract.exclude_start_words_count: the number of words to exclude from the start of each key phrase when calculating its entropy.partition_method: can be STOP_WORDS or NOUN_PHRASES, decides how to partition the candidates.ranking_method: can be FIRST_WORD_ENTROPY or SUM_ENTROPY, whether to use the sum of entropy of the phrase or just the entropy of the first wordnormalize_by_word_statistics: a boolean indicating whether we want to normalize the entropy values by entropy statistics of word position.remove_personal_names: a boolean indicating whether to remove personal names from the evaluations or not.Evaluation DemoYou can run the evaluation_demo notebook included in this repository under src/eval to get the benchmark results on common key phrase extraction tasks reported in the paper.
Make sure to run pip install -r evaluation-requirements.txt beforehand
Package: entropyshannon
Entropy-CalucalatorConations a python package for various  type of entropy calculationsRequirementsNoneInstallationpip install entropyshannonBasic examplefromentropyshannonimport*string_entropy=shannon_entropy("12311331")print(string_entropy)probability_list=[1/2,1/3,1/10,7/10]print(shannon_entropy_probability_list(probability_list))
Package: entropython
entropythonA Python module for efficient calculation of Shannon byte entropy based on Rust.InstallationJust runpipinstallentropythonUsagefromentropythonimportshannon_entropy,metric_entropybytes='Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua.'.encode('utf-8')print(shannon_entropy(bytes))print(metric_entropy(bytes))Build from SourceFor building the binary from source,Rustneeds to be installed.Runcargobuild--release
mvtarget/release/libentropython.soentropython.so# The renaming is necessary for Python to find the module# Optional: Remove debug symbols from the binary to dramatically reduce its size.stripentropython.soThe builtentropython.soitself has no dependencies.
Package: entrydir_pypath
Module for configuration of sys.path for local imports relative to the
directory of the current script entry file.Import of entrydir_pypath appends directories to the end of sys.path in
accordance with files named ‘.pythonpath’. Such files are referred to as
pythonpath files below. First, the directory of the script entry file
(obtained by sys.argv[0]) and its parents are searched for pythonpath files.
For interactive scripts and similar special cases, the current working
directory is used as fallback. The pythonpath file in the closest parent
directory is used to initiate the processing. If no such file is found,
sys.path is left unaltered.Each line in a pythonpath file is a directory path that may be absolute or
relative. Directories that do not exist are ignored. Existing directories are
added to sys.path if there is no pythonpath file in the directory. Otherwise,
the entries in the found pythonpath file are processed in the same way as
above, and recursion continues until no additional pythonpath files are found.
To add a directory that contains a pythonpath file, the pythonpath file of
that directory must list its own directory.SetupTo install the package for the current user:$pipinstall--userentrydir_pypathTo import the package automatically from usercustomize during initialization:$entrydir-pypath-config-installFor deactivation of automatical import:$entrydir-pypath-config-removeTo uninstall the package:$pipuninstallentrydir_pypath
Package: entryexiterrorlogging
QuickEntryExitErrorLoggingA sample python package deployment utility for custom logging. It has functions for entry, exit and error logging. It takes the input dictionary (if present) and the logging entry type.
If no input dictionary is present pass None. Output will be a JSON format logged printed as below{"TestEVENT": "EXIT", "status": "SUCCESS", "statusCode": "0000"}{"TestEVENT": "EXIT", "status": "SUCCESS", "statusCode": "0000", "entryType": "insertUser", "opName": "insertUser", "src": "Cloud_Functions", "action": "Insert User", "respTime": "1 secs"}{"TestEVENT": "ERROR", "status": "FAILURE", "statusCode": "9999"}Usageimport entryexiterrorloggingdict = {"entryType": "insertUser", "opName": "insertUser", "src": "Cloud_Functions", "action": "Insert User"}entryexiterrorlogging.entryEventLog(dict, "TestEVENT")entryexiterrorlogging.exitEventLog(dict, "TestEVENT")entryexiterrorlogging.errorEventLog(dict, "TestEVENT")
Package: entry-level-python-snake-game
Entry level Python Snake GameResumeThis is small game was created to pratice my python skills and make a fun game.LibrariesTo built it was used some simples built-in lib askeyboard,threading,time,randomand at least an external lib namedcursesto manipulatepromptscreen.The IdeaThe first idea for the project was to create a snake game that was possible to
catch the rabbit at the same time that you needed to run from an eagle.
Furthermore, you would have skills to increase the chance to run that eagle as throwing poison
and etc...
At first was just programmed to rabbit runs and the remains is a normal snake game.Playing
Package: entry-logger-sanic
entry-logger-sanicA logger for Sanic based EntryDSM serviceInstallpipinstallentry-logger-sanicFeatureRequest loggingSystem loggingFile saving in NDJSON formatUsageimportosfromsanicimportSanicfromentry_logger_sanicimportset_loggerlog_path=os.path.dirname(__file__).replace("/service","").replace("/currentdir","")# exampleapp=Sanic("SERVICE NAME")# please specify service name!set_logger(app,log_path)...The log file will be saved under{designated path}/logas{given service name}.logVersioning{Major}.{Minor}.{Patch}ex: 0.2.3Major: without subcompatibilityMinor: with partial subcompatibilityPatch: with full subcompatibilityMaintainerSeonghyeon Kim -NovemberOscar
Package: entryp
@entryp.ointA decorator to avoidif __name__ == "__main__":, instead useimportentryp@entryp.ointdefmain():print("Hello World")$pythonmy_script.py
HelloWorld

$python-c"import my_script"# no outputInstallationpipinstallentrypDetailsSpecifying the@entryp.ointdecorator on a functionmy_funccan be considered equivalent to runningif__name__=="__main__":my_func()at the end of the same module.If the decorator is used multiple times in the same file, the functions are executed in the order they are defined.The default@entryp.ointdecorator uses theatexitmodule. Simple usage of registered atexit functions still works as expected, but involved workflows (e.g. specific exception-flows) relying on atexit behaviour might:tm: break. In those cases, please consider to use one of the two other available modes,first_rerun_remainingandimmediate, e.g.importentryp@entryp.oint(mode="immediate")defmain():print("Hello World")immediatecalls the decorated function immediately, entities defined later in the module will not be available, so moving the function to the end of the module is encouraged.first_rerun_remainingwill effectively run everything after the decorated function twice, so the code should be free of side-effects and preferably only consist of definitions in this case. The default mode isat_exitand should be considered as a first choice.Future Worktestsautomating formatting, checking and releasesallow to pass arguments to the entrypoint functionLicenseMIT
Package: entrypoint
entrypointDecorated functions as entry points.In python, anentry pointcan be thought of as an explicit function
that gets called when the script is run directly from the console.Defining an entry point requires some boilerplate code, which is
abstracted away by this library.InstallingPython 3.8 or above is required.pipInstalling the library withpipis quite simple:$pipinstallentrypointAlternatively, the library can be installed from source:$gitclonehttps://github.com/nekitdev/entrypoint.git$cdentrypoint$python-mpipinstall.poetryYou can addentrypointas a dependency with the following command:$poetryaddentrypointOr by directly specifying it in the configuration like so:[tool.poetry.dependencies]entrypoint="^2.0.2"Alternatively, you can add it directly from the source:[tool.poetry.dependencies.entrypoint]git="https://github.com/nekitdev/entrypoint.git"ExamplesDecoratedDeclare themainfunction as anentry point:fromentrypointimportentrypoint@entrypoint(__name__)defmain()->None:print("Hello, world!")Run the script directly from the console:$pythonfile.pyHello, world!When importing the module,maindoes not get called:>>>importfile>>># no outputNoteNote thatmaingets calledimmediately, before any code below can be executed.@entrypoint(__name__)defmain()->None:print("-> in main")print("<- outside")$pythonnote.py-> in main<- outsideDirectIt is possible to runmaindirectly:entrypoint(__name__).call(main)This method allows to take control over where and when the function gets called.Checkentrypointalso providesis_mainfunction that resembles
the common (and de-facto standard) way of implementingentry points:fromentrypointimportis_mainifis_main(__name__):print("Hello, world!")Returnentrypointexpectsmainfunctions to not have arguments and return nothing.
Even though this isnotchecked atruntime, returning frommainwill causetype-checkerstoerror!Asyncentrypointdoes not provide any specific functionality to run async functions.Instead, you can specify, for example, amainfunction that runs itsasync_maincounterpart:fromasync_extensionsimportrunasyncdefasync_main()->None:print("Hello, world!")@entrypoint(__name__)defmain()->None:run(async_main())ImplicitIn case an entry point gets created without__name__given, it is going to attempt
to fetch the module from themainfunction provided.@entrypoint()defmain()->None:print("Hello, world!")Please keep in mind that calling functions defined outside the__main__module
will not work with implicit fetching.DocumentationYou can find the documentationhere.SupportIf you need support with the library, you can send anemailor refer to the officialDiscord server.ChangelogYou can find the changeloghere.Security PolicyYou can find the Security Policy ofentrypointhere.ContributingIf you are interested in contributing toentrypoint, make sure to take a look at theContributing Guide, as well as theCode of Conduct.Licenseentrypointis licensed under the MIT License terms. SeeLicensefor details.
Package: entrypoints
This package is in maintenance-only mode.New code should use theimportlib.metadata modulein the Python standard library to find and load entry points.Entry points are a way for Python packages to advertise objects with some
common interface. The most common examples areconsole_scriptsentry points,
which define shell commands by identifying a Python function to run.Groupsof entry points, such asconsole_scripts, point to objects with
similar interfaces. An application might use a group to find its plugins, or
multiple groups if it has different kinds of plugins.Theentrypointsmodule contains functions to find and load entry points.
You can install it from PyPI withpip install entrypoints.To advertise entry points when distributing a package, seeentry_points in the Python Packaging User Guide.Thepkg_resourcesmodule distributed withsetuptoolsprovides a way to
discover entrypoints as well, but it contains other functionality unrelated to
entrypoint discovery, and it does a lot of work at import time.  Merelyimportingpkg_resourcescauses it to scan the files of all installed
packages. Thus, in environments where a large number of packages are installed,
importingpkg_resourcescan be very slow (several seconds).By contrast,entrypointsis focused solely on entrypoint discovery and it
is faster. Importingentrypointsdoes not scan anything, and getting a
given entrypoint group performs a more focused scan.When there are multiple versions of the same distribution in different
directories onsys.path,entrypointsfollows the rule that the first
one wins.  In most cases, this follows the logic of imports.  Similarly,
Entrypoints relies onpipto ensure that only one.dist-infoor.egg-infodirectory exists for each installed package.  There is no reliable
way to pick which of several.dist-infofolders accurately relates to the
importable modules.
Package: entry-points-txt
GitHub|PyPI|Issues|Changelogentry-points-txtprovides functions for reading & writingentry_points.txtfiles according tothe spec.  That is the one thing it
does, and it endeavors to do it well.Installationentry-points-txtrequires Python 3.6 or higher.  Just usepipfor Python 3 (You have pip, right?) to installentry-points-txt:python3 -m pip install entry-points-txtAPIEntryPointclassEntryPoint(NamedTuple)A representation of an entry point as a namedtuple.  Instances have the
following attributes and methods:group: strThe name of the entry point group (e.g.,"console_scripts")name: strThe name of the entry pointmodule: strThe module portion of the attribute reference (the part before the colon)attr: Optional[str]The attribute/object portion of the attribute reference (the part after the
colon), orNoneif not specifiedextras: Tuple[str,...]Extras required for the entry pointload()->AnyReturns the object referred to by the entry pointto_line()->strReturns the representation of the entry point as a line inentry_points.txt, i.e., a line of the formname = module:attr [extras]EntryPointSetEntryPointSet=Dict[str,Dict[str,EntryPoint]]An alias for the return type ofload()&loads()and the argument type
ofdump()&dumps().  Entry points are organized into adictthat
maps group names to sub-dicts that map entry point names toEntryPointinstances.load()entry_points_txt.load(fp:IO[str])->EntryPointSetParse a file-like object as anentry_points.txt-format file and return the
results.For example, the following input:[console_scripts]foo=package.__main__:mainbar=package.cli:klass.attr[thingy.extension]quux=package.thingy [xtr]would be parsed as:{"console_scripts":{"foo":EntryPoint(group="console_scripts",name="foo",module="package.__main__",attr="main",extras=()),"bar":EntryPoint(group="console_scripts",name="bar",module="package.cli",attr="klass.attr",extras=()),},"thingy.extension":{"quux":EntryPoint(group="thingy.extension",name="quux",module="package.thingy",attr=None,extras=("xtr",)),},}loads()entry_points_txt.loads(s:str)->EntryPointSetLikeload(), but reads from a string instead of a filehandledump()entry_points_txt.dump(eps:EntryPointSet,fp:IO[str])->NoneWrite a collection of entry points to a file-like object inentry_points.txtformat.  AValueErroris raised and nothing is written
if the group or name key under which anEntryPointis located does not
match itsgroupornameattribute.dumps()entry_points_txt.dumps(eps:EntryPointSet)->strLikedump(), but returns a string instead of writing to a filehandledump_list()entry_points_txt.dump_list(eps:Iterable[EntryPoint],fp:IO[str])->NoneWrite an iterable of entry points to a file-like object inentry_points.txtformat.  If two or more entry points have the same group & name, only the last
one will be output.dumps_list()entry_points_txt.dumps_list(eps:Iterable[EntryPoint])->strLikedump_list(), but returns a string instead of writing to a filehandleParseErrorclassParseError(ValueError)Exception raised byload()orloads()when given invalid input
Package: entsopy
entsopyYour cli tool fordownload data from thefrom ENTSO-E transparency platform.Please note that a security token is mandatory for accessing the ENTSO-E API service.RequirementsPython 3.11+Installation$ pip install entsopyCheck out the latest entsopy version on pypi:pypi.org/project/entsopyCommandsentsopy startfor starting the cli app;entsopy resetfor resetting entsopy configuration;entsopy logfor manage entsopy logs;entsopy --helpfor seeing the helper.Useful linksEnsto-e official website:https://www.entsoe.eu/Ensto-e transparency platform:https://transparency.entsoe.eu/Ensto-e security token:https://transparency.entsoe.eu/content/static_content/Static%20content/web%20api/Guide.html#_authentication_and_authorisationLicenseThis project is licensed under the terms of the MIT license.FoundingEntsopy was funded by the European Union -NextGenerationEU, in the framework of theGRINS - Growing
Resilient, INclusive and Sustainableproject (GRINS PE00000018 – CUP C93C22005270001)
Package: en-tts
en-ttsCommand-line interface for synthesizing English texts into speech.Installationpipinstallen-tts--userExampleen-ttssynthesize"When the sunlight strikes raindrops in the air, they act as a prism and form a rainbow."The output can be listenedhere.CitationIf you want to cite this repo, you can use the BibTeX-entry generated by GitHub (seeAbout => Cite this repository).Taubert, S. (2024). en-tts (Version 0.0.1) [Computer software]. https://doi.org/10.5281/zenodo.10479347AcknowledgmentsFunded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410