Saravanan666/pypi-org huggingface dataset:
Package: isjosh18
Is Josh 18?A command-line interface to determine if Josh has turned 18 yet.It's using the API provided byhttps://hasjoshturned18yet.com/.Installation$ pip install isjosh18 --upgradeUsage$ isjosh18 -h
usage: isjosh80 [-h] [--balloons] [-f] [--frequency FREQUENCY]
                [--speed SPEED] [--width WIDTH] [--duration DURATION]

Is Josh 18?

optional arguments:
  -h, --help            show this help message and exit
  --balloons            Add balloons
  -f, --force           Force Josh to be 18
  --frequency FREQUENCY
                        Balloon frequency
  --speed SPEED         Balloon speed
  --width WIDTH         Screen width
  --duration DURATION   How many seconds the party should last (0: party on
                        forever)
Package: isjsonschemasubset
isjsonschemasubsetCheck one JSONSchema is a subset of another. Plays nicely withPydantic.InstallpipinstallisjsonschemasubsetCurrently in an Alpha.UsagefrompathlibimportPathfromisjsonschemasubsetimportdump,issubset,loadpath_to_a=Path(__file__).parent/"a.json"path_to_b=Path(__file__).parent/"b.json"dump(A,path_to_a)# where A is a `type[pydantic.BaseModel]`dump(B,path_to_b)# where B is a `type[pydantic.BaseModel]`json_schema_a=load(path_to_a)json_schema_b=load(path_to_b)forerrorinissubset(json_schema_a,json_schema_b):...Yields errors if typeAis not a subset ofB.In this context, "is a subset of" means that if we were to do:B(**a.model_dump(mode="json"))We wouldnotget an error. This is very important when deserializing data from JSON columns in the database and for writing backwards compatible APIs.Seetests/test_schema_versions.pyfor further example usage. In this case, every time we changeFoo(or anything thatFoorefers to recursively), we dump a new schema intests/schemas/Fooand check all of the schemas are backwards compatible.Dev installgitclonegit@github.com:leontrolski/isjsonschemasubset.git
pipinstall-rrequirements-dev.txt
pytest
mypysrctests--strictUpload to pypi# bump versionpython-mpipinstallbuildtwine
python-mbuild
twinecheckdist/*
twineuploaddist/*
Package: iskalko-otzyvy-ru
iskalko_otzyvy_ruiskalko_otzyvy_ru reviews siteFree software: MIT licenseDocumentation:https://iskalko-otzyvy-ru.readthedocs.io.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-08-06)First release on PyPI.
Package: isk-daemon
Whatisk-daemon is an open source database server capable of adding content-based (visual) image searching to any image related website or software.We‘re looking for ways to improve the adoption of such technology. Please let us know if you can benefit from it and need some help getting it to work for you.This technology allows users of any image-related website or software to sketch on a widget which image they want to find and have the website reply to them the most similar images or simply request for more similar photos at each image detail page.Key features:Query for images similar to one already indexed by the database, returning a similarity degree for the images on database that most resemble the target query image;Query for images similar to one described by its signature. A client-side widget may generate such signature from what a user sketched and submit it to the daemon;Network interface for easy integration with other web or desktop applications: XML-RPC, SOAP;Fast indexing of images one-by-one or in batch;Associate keywords to images and perform image-similarity queries filtering by keywords;Quickly remove images from database one-by-one or in batch;Built-in web-based admin interface with statistics and ad-hoc maintenance commands/API testing;Optimized image processing code (implemented in C++).Install instructionsInstallation, usage instructions and more details are available online athttp://www.imgseek.net/isk-daemon/documents-1/install-and-usageLatest source codeSee github:https://github.com/ricardocabral/iskdaemon/CreditsimgSeek and isk-daemon portions copyright Ricardo Niederberger Cabral (ricardo.cabral at imgseek.net).Image loading code is credited to “ImageMagick Studio LLC” and library linkage adheres to statements on ImageMagick-License.txtSupport or DonateHelp on improving this software is needed, feel free to submit patches.
Package: iskra.audiofile
ContentsIntroductionFeaturesCreditsInstallationiskra.audiofileIntroductioniskra.audiofile is a plone egg that enables audio content using dexterity.Featuresfile type with mp3 and ogg optionsmediaelementjs player (HTML5 and fallback to flash)folder listing view to show the players and the image on a listingimage fieldCreditsThis product is developed by Iskra sponsored by Hitotsubashi University.InstallationAdd to your egg section on buildout.cfgeggs =iskra.audiofileiskra.audiofile1.0Create content type and views [ramon]
Package: islack
islackTools package for slack.installpip install islackdemofrom islack import slack_incoming

slack_incoming_url = "your_slack_incoming_url"

slack_incoming(
    slack_incoming_url,
    channel="#temp",
    username="iSlackRobot",
    icon_url="https://s3-us-west-2.amazonaws.com/slack-files2/bot_icons/2019-08-12/723294116148_48.png",
    pretext="This pretest content is a [<https://slack.com|slack>] incoming test!",
    color="#cd0000",
    title="This is *title*!",
    value="This is _first_ line.\n This is _second_ line."
)

# or

payload = {
    "channel": "#everyone",
    "username": "iSlackIncoming",
    "icon_url": "https://ca.slack-edge.com/TJ2D8P5T8-USLACKBOT-sv41d8cd98f0-72",
    "attachments": [
        {
            "fallback": "[<https://slack.com|slack>] slack incoming!",
            "pretext": "[<https://slack.com|slack>] slack incoming!",
            "color": "#2db67c",
            "fields": [
                {
                    "title": "This is the title",
                    "value": "The content below is the value:\n cant be seprateed by \"\\n\"",
                    "short":  "false"
                }
            ]
        }
    ]
}

slack_incoming(
    slack_incoming_url,
    payload=payload
)
Package: islam
pyIslampyIslamis a python islamic library, it can calculatesprayer times,qibladirection, convert between gregorian andhijri, calculatezakatandmirath.Actually, the library can does:Pray times calculationHijri/Gregorian date conversionQibla directionZakat calculation(need checking)Mirath calculation(need checking)InstallingFrom PyPiSimply run:pipinstallislamNote that thepippackage name isislamand notpyIslam,pyIslamis taken by another project on PyPi.AuthorAbdelhak Bougouffa@abougouffaContributorsMonsef Alahem@monsef-alahemAzzam S. A.@azzamsaPortsRustpyIslamhas been ported to Rust by Azzam S. A.@azzamsa, Rust version available atgit.sr.ht/~azzamsa/islam, it features Prayer Times and Hijri calendar.pyIslamهي مكتبة إسلامية للغة البرمجة بايثون، توفر امكانية حسابأوقات الصلاة،اتجاه القبلة،التقويم الهجري،الزكاةوالمواريث.حاليا، المكتبة تستطيع أن تقوم بـ:حساب مواقيت الصلاةالتحويل بين التاريخ الهجري والميلاديتحديد اتجاه القبلةحساب الزكاةحساب الميراث
Package: island-backup
Island Backupis a utility that download threads content and images from Anonymously broad website.
The content will be saved as html file.Island Backupis written by aiohttp which useasyncio, so only support Python3.中文文档So far,Island BackupSupport website belowA岛 (https://h.nimingban.com/)kukuku (http://kukuku.cc/)备胎岛 (http://h.adnmb.com/Forum)4chan (http://www.4chan.org/)2chan (http://www.2chan.net/)island_backup http://boards.4chan.org/a/thread/149376017InstallationUse PyPIpip3installisland-backupFor Windows UserDownload latest binary packagehttps://github.com/littlezz/island-backup/releasesUsage⇒island_backup--help(env:island_backup)Usage:island_backup[OPTIONS][URL]Options:-urlTEXT--debugenabledebugmode--force-updateforceupdateimage--conn-countINTEGERRANGEmaxconnnumberconnectoruse.from1to20.Defaultisnolimit-p,--proxyTEXTsocksproxyaddress,ex,127.0.0.1:1080--versionShowtheversionandexit.--helpShowthismessageandexit.Using Config FileCreate a json file namedisland_backup.json, write you config in it.
Program will search on current path or~/.island_backup/For windows user, you should create file in program main folder.For example, aisland_backup.jsoncould be{"conn-count":"10","debug":true,"proxy":"127.0.0.1:1080"}ScreenShot
Package: islanders
Islandersthis is a python packaged dessigned to make artificial Intelligence engineers, machine learning engineers, and Data
Sciencist lives easier to do there job. within this package you will have the ability to use irdatacleanings  methods as well asdatasets: this method is for those part of the islander community where you will be able to run code like,importislandersasirgifts=ir.dataset("amazon electronic")titanic=ir.dataset("titanic")movie=ir.datasets("movie")DTthis class is designed to work with scikit-learns DecisionTreeClassifier
by making it so that all you have to do when you initiate this class is set the X and Y values
DT(X values,Y values, test_size=.2)
once you have initialized the class you can build the model by calling the build merthod there are two ways to call this methodthe first way is
dt = self.build() which will just return the model itself, the next way is a bit more useful I think,
dt,X_test,y_test = dec.build(True) this method will return not just the model but the X_test data and the y_test allowing you to run test on the model.
This class is designed to return the most optimized model you can possible have
the last method allows you to see what your tree looks like you can call this method by running
self.show()
Package: islandora7-rest
islandora7-restislandora7-rest is a Python 3+ library forDiscovery Garden's REST interface
for Islandora 7UsageUsage.mdin the GitHub project.A number of demos are also included in the repo.Why?Islandora is a PHP project? Sure. However, our metadata and curation staff are more fluent in Python and
it is the lingua franca of API manipulation. We are using this library in conjuction with other
Python libraries to move content to and from other REST APIs.mjordan/irccovers the same territory in PHP/Guzzle.Why not access Fedora more directly? (see Emory'seulfedora)?authentication - most Islandora sites don't have many Fedora users,
relying on the Drupal DB methods. We're one step further, behind SSO.hiding Fedora - we don't want to expose our vintage Fedora 3 to anyone.Leverage other Islandora hooks - Ingesting an OBJ, assuming the CModel is correct,
will cut derivatives correctly.MaintenanceDeveloped by the University of Kansas IT and Libraries.LicenseBSD 3-Clause License.
Package: islatu
# islatuX-ray reflectometry reduction from Diamond Light Source[![codecov](https://codecov.io/gh/RBrearton/islatu/branch/master/graph/badge.svg?token=FGIV0MVHS8)](https://codecov.io/gh/RBrearton/islatu)
[![Actions Status](https://github.com/RBrearton/islatu/workflows/pytest/badge.svg)](https://github.com/pytest/islatu/actions)
[![Documentation Status](https://readthedocs.org/projects/islatu/badge/?version=latest)](https://islatu.readthedocs.io/en/latest/?badge=latest)### InstallThis package can be easily installed usingpip install islatu.### Installation from sourceTo install in a fresh environment, first ensure that pip is available. For
example, using conda:` conda create--nameislatu conda activate islatu conda install pip `Assuming that pip is available, installation of the library from source can be
done by cloning this repository. Navigate to its directory and use pip to
install this package and its dependencies as follows:` python-mpip install .-rrequirements.txt `Make sure that your installation is functioning by runningpytest.### DocumentationThe documentation for this package can be found athttps://islatu.readthedocs.io/en/latest/An example of a typical data reduction workflow can be found athttps://islatu.readthedocs.io/en/latest/i07_reflectivity.htmlTo build the documentation, make sure you have sphinx installed on your system.
Go to the docs directory and run` make html `
Package: islay.auth
islay.authislay.auth is a very basic authentication middleware designed to work well
within the WSGI specification. As not everything that works well in theory
also works well in practise the interfaces it uses are a strict subset of
those used by repoze.who, so any plugin that works for islay.auth should work
seamlessly in repoze.who which provides more features that may be of practical
use.islay.auth will not scribble on the environ, it will only use HTTP standards.
That means it works by faking HTTP basic auth rather than simply providing the
details requested of it. For convenience it also provides REMOTE_USER
in-keeping with the de facto standard in use by Apache.There are three types of plugin available:IIdentifier takes a request and manipulates its credentials. As well as
extracting the credentials dictionary it provides helper methods for
returning the appropriate headers to users to cause them to log in or out.IAuthenticator verifies that the extracted credentials correspond to a real
user.IChallenger plugins take over in the case of a 401 response from the
underlying application.Release notes0.1Basic implementation and tests.Does not send WWW-Authentiate yet.Alpha quality
Package: islenska
BinPackage, published by Miðeind ehf, is a Python package that embeds the
vocabulary of the Database of Icelandic Morphology (Beygingarlýsing íslensks
nútímamáls, BÍN) and offers various lookups and queries of the data.The database, maintained by Árni Magnússon Institute for Icelandic Studies,
contains over 6.5 million entries, over 3.1 million unique word forms,
and about 300,000 distinct lemmas.With BinPackage,pip install islenskais all you need to have almost all of
of the commonly used vocabulary of modern Icelandic at your
disposal via Python. Batteries are included; no additional databases,
downloads or middleware are required.
Package: islet
IntroductionIslet is a pure python key-value file database. It allows for multiple serializers for both the keys and values. The API is designed to use all of the same python dictionary methods python programmers are used to in addition to the typical dbm methods.InstallationInstall via pip:pip install isletOr conda:conda install -c mullenkamp isletI’ll probably put it on conda-forge once I feel like it’s up to an appropriate standard…SerializationBoth the keys and values stored in Islet must be bytes when written to disk. This is the default when “open” is called. Islet allows for various serializers to be used for taking input keys and values and converting them to bytes. The in-build serializers include pickle, str, json, and orjson (if orjson is installed). If you want to serialize to json, then it is highly recommended to use orjson as it is substantially faster than the standard json python module.
The user can also pass custom serializers to the key_serializer and value_serializer parameters. These must have “dumps” and “loads” static methods. This allows the user to chain a serializer and a compressor together if desired.UsageThe docstrings have a lot of info about the classes and methods. Files should be opened with the islet.open function. Read the docstrings of the open function for more details.Write dataimportisletwithislet.open('test.book','n',value_serializer='pickle',key_serializer='str')asdb:db['test_key']=['one',2,'three',4]Read datawithislet.open('test.book','r')asdb:test_data=db['test_key']Notice that you don’t need to pass serializer parameters when reading. Islet stores this info on the initial file creation.RecommendationsIn most cases, the user should use python’s context manager “with” when reading and writing data. This will ensure data is properly written and (optionally) locks are released on the file. If the context manager is not used, then the user must be sure to run the db.sync() at the end of a series of writes to ensure the data has been fully written to disk. And as with other dbm style APIs, the db.close() must be run to close the file and release locks. MultiThreading is safe for multiple readers and writers, but only multiple readers are safe with MultiProcessing.BenchmarksComing soon…
Package: islets
A toolbox to analyze and interact with Ca imaging data, developed within the Cell and Tissue Networks research group led byprof. Marjan Slak-Rupnikat the Medical University of Vienna.https://user-images.githubusercontent.com/2512087/162633046-b26d7c49-3501-4e78-9a33-433119157537.mp4A typical experiment involving imaging of pancreatic slices in our lab concerns a single field of view
showing up to hundreds of cells, in a recording of at least several, often dozens, gigabytes.
Current tools (i.e. ImageJ) rely on loading the recording, or its part, into memory, for viewing, analysis, and processing.
It also requires laborious and long human engagement.
We have developed a set of interdependent tools to automatize as much as possible the analysis pipeline.The main elements of our pipeline are the following:Automatic detection of regions of interest (ROIs);Transformation of ROI time traces into standard score (“z-score”) and correction for filtering distortion;Representation of the phenotype for each trace (height, auc, or halfwidth statistics, event rate…).Quantification of the effect magnitude for acute pharmacological manipulations, and/or different experimental branches (different mice, or diet, of genetic manipulations).DocumentationThe usage of the framework in practical terms is documented in the original repository athttps://github.com/szarma/Physio_Ca/FeaturesOne of our most used tools is the _’’roi examiner’’_ for live interaction with the ROIs and their traces within a jupyter notebook.We have a similar app to examine line scans.For examine detected events, one at a time, we also have a app.We have also built a dashboard for fast intreaction with our storage filesystem. Given a folder, it finds all processed recordings in it and its subfolders, collects metadata and presents it in a table form. It further enables entering of the experimental protocol, and additional data, which are then also searchable. It also provides a link to an automaticaly generated notebook for a brief glimpse into actual results of an experiment. See demo on youtube (https://youtu.be/tj4TjL_PJ1Q).InstallationWe are working on an easy way of installation. For this purpose we use poetry as install tool.
However, there will be ready-to-go packages available on PyPI via pip.
For easy deployment, there will be a docker image as well.
Documentation will be updated as soon as it is ready.DockerA dockerfile is included in the root of the framework. It contains everything to run python code in the base environment. It can be built with the following command:dockerbuild-tctn_server.If you do not want to build it yourself there is a prebuilt version on docker-hub. It can be pulled simly by:dockerpullhannsen/cell-tissue-networks_server:latestAs an example, to run the server with custom data and access it in a shell you can use it like this:dockerrun-it-v/path/to/real/data:/data:rwhannsen/cell-tissue-networks_server:latest/bin/bash
Package: islex
ISLE pronunciation dictionary accessorsUtility classes to support easy extraction and manipulation of
dictionary-to-pronunciation from the ISLE dictionary.Free software: MIT licenseDocumentation:https://islex.readthedocs.io.FeaturesLoading and navigating around the data structures of the ISLE lexicon.CreditsPackage author isJeremy G Kahn, repackaging the very usefulISLE
pronunciation lexiconfrom theIllinois Speech and Language
Engineeringgroup.This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.2 (2016-08-28)Support read-only lazy loading of case-insensitive mappings from
orthography.Docs fixes.0.2.1 (2016-07-26)Mark as zip-safe.Correct some loading code to work better for subpackages.0.2.0 (2016-07-26)Constructs islex.data namespace for other packages to land in.Improved handling of morphologically-analyzed words.Include behaviors to restore to strings.Include functions to write to external files for managing data as subpackages.codecov support0.1.2 (2016-07-20)(intended difference with : release to PyPI done by Travis.)Refactor to useattrsclasses for clean, fast types.0.1.1 (2016-07-12)released on pypi (without this note).added several tweaks and tuning towards coverage with pytest0.1.0 (2016-07-12)First release on PyPI.Supported Travis-CI, islex.readthedocs.org, and pyup-ci.org
Package: islex-core
ISLE pronunciation dictionary core entriesData package containing core entries of the ISLE dictionary (those
with part-of-speech-tags, excluding named-entities).Free software: MIT licenseDocumentation:https://islex-core.readthedocs.io.FeaturesCore entries from the ISLE dictionary (those that have a
part-of-speech tag or a morphological analysis and arenotexclusivelyNNPorNNPS.See also theNNP[S]types inislex-entitiesand the remainder inislex-periphery.CreditsPackage author isJeremy G Kahn, repackaging the very usefulISLE
pronunciation lexiconfrom theIllinois Speech and Language
Engineeringgroup.This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (unreleased)First git checkin of core data.
Package: islex-entities
ISLE pronunciation dictionary named-entity entriesData package containing named-entities of the ISLE dictionary (those
labeled as exclusively named-entity (NNPorNNPS).Free software: MIT licenseDocumentation:https://islex-entities.readthedocs.io.FeaturesNamed entities from the ISLE dictionary (those that are
exclusivelyNNPorNNPS).See also theislex-core(for other parts-of-speech) and the
remainder unlabeled inislex-periphery.CreditsPackage author isJeremy G Kahn, repackaging the very usefulISLE
pronunciation lexiconfrom theIllinois Speech and Language
Engineeringgroup.This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.2 (27 July 2017)Changed classifier to upgrade to Alpha status, and because bad merge
made tag v0.1.1 misalign git repo with pypi.0.1.1 (27 July 2017)Patched documentation to remove some leftovers from port over fromislex-core.0.1.0 (26 July 2016)First git checkin of named-entity ISLE data, with configuration
managed upstream.deployed with automatic push to pypi by travis.
Package: islex-periphery
ISLE pronunciation dictionary peripheral entriesData package containing peripheral entries of the ISLE dictionary (those
without part-of-speech-tags, not labeled as named-entities).Free software: MIT licenseDocumentation:https://islex-periphery.readthedocs.io.FeaturesEntries from the ISLE dictionary that have no POS tag or
morphological analysis whatsoever.See also named-entities inislex-entitiesand theislex-corepackages.CreditsPackage author isJeremy G Kahn, repackaging the very usefulISLE
pronunciation lexiconfrom theIllinois Speech and Language
Engineeringgroup.This package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (27 July 2016)First git checkin of peripheral ISLE entries, with configuration
managed upstream.deployed with automatic push to pypi by travis.
Package: islpy
islpy is a Python wrapper around Sven Verdoolaege’sisl, a library for manipulating sets and
relations of integer points bounded by linear constraints.Supported operations on sets includeintersection, union, set difference,emptiness check,convex hull,(integer) affine hull,integer projection,computing the lexicographic minimum using parametric integer programming,coalescing, andparametric vertex enumeration.It also includes an ILP solver based on generalized basis reduction, transitive
closures on maps (which may encode infinite graphs), dependence analysis and
bounds on piecewise step-polynomials.Islpy comes with comprehensivedocumentation.Requirements:islpy needs a C++ compiler to build. It can optionally make use
of GMP for support of large integers.One important thing to know about islpy is that it exposes every function in isl
that is visible in the headers, not just what isl’s authors consider its
documented, public API (marked by__isl_export). These (technically)
undocumented functions are marked in the islpy documentation. Many of them are useful
and essential for certain operations, but isl’s API stability guarantees do not
apply to them. Use them at your own risk.