Saravanan666/pypi-org huggingface dataset:
Package: update-tracker
Intro본인의 PC 또는 가상환경에 설치된 파이썬 패키지의 최신 버전 정보를 확인할 수 있는 CLI 프로그램BasicInstall$pipinstallupdate-trackerCommand$trackFetchingthelatestpackagedata...
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**MAJOR업데이트가이미진행된패키지입니다!**
package_namecurrent_versionupdated_versionupload_timeclick7.1.28.0.12021-05-2006:00:32**MINOR업데이트가이미진행된패키지입니다!**
package_namecurrent_versionupdated_versionupload_timebuild0.6.0.post10.7.02021-09-1706:20:37keyring23.1.023.2.12021-09-1302:16:33**PATCH업데이트가이미진행된패키지입니다!**
package_namecurrent_versionupdated_versionupload_timealembic1.7.11.7.32021-09-1800:29:20charset-normalizer2.0.42.0.62021-09-1807:21:49prompt-toolkit3.0.33.0.202021-08-2019:44:46setuptools58.0.258.0.42021-09-0911:03:12**ERROR**
package_nameerror_reasoncelloUnknowninfoformat.Checkonhttps://pypi.python.org/pypi/cello/json
UpdateTrackerPackagenotfoundinPyPI--------------------------------------------------------------------------------Options-s, --summary: 요약 정보 출력 옵션$track-s--level: 지정된 단계까지 출력할 수 있도록 하는 옵션. MAJOR, MINOR, PATCH 가능. default는 PATCH$track--level=MAJORCodehttps://github.com/Independent-Dev/update_tracker
Package: update-wrapper
[![Travis](https://img.shields.io/travis/EpicScriptTime/update-wrapper.svg)](https://travis-ci.org/EpicScriptTime/update-wrapper)
[![Release](https://img.shields.io/pypi/v/update-wrapper.svg)](https://pypi.python.org/pypi/update-wrapper)
[![MIT License](https://img.shields.io/badge/license-MIT-8469ad.svg)](https://tldrlegal.com/license/mit-license)Python script that simplify applying updates on multiple servers by wrapping the update process and logging the output.
Built with the help of various Ansible internals.RequirementsPython3 andpipInstallationpip install update-wrapperConfigurationCreate the configuration file~/.update-wrapper.ymland configure your hosts list.
See the sample file in theexamplesdirectory.Usageupdate-wrapper
Package: updator
Always be up-to-date!Updator is a tool for automatically upgrade python libraries. It defines API changes rules which are actually python patterns (with some extras) that will transform into an ast. The rules were designed to be written by the libraries’ authors, but that will happen later on. What it does is basically just transforming the python code, that should be upgraded into an AST, and search the rules ast within the source code ast. If a rule ast is found - it’s transforming the pattern into a new pattern.Install the package:pip install updatorTo Use Updator:updator run [lib] [path]where:lib is the library you want to upgradepath is the path for your code file you want to upgrade
Package: updoc
UpDoc is a web application for uploading developer documentations, with a few interesting tips.Main features:drag and drop archives of documentations (.zip or .tar.gz with a bunch of HTML files) to upload them,RSS feed with the last uploaded docs,RSS feed with the docs that you frequently check,upload archives with a single cURL request,generate RSS feeds with your bookmarks,generate a proxy.PAC file.RSS feeds can be added as bookmarks folders in Firefox, so it is very easy to share sets of bookmarks in a company.
Archives are fully indexed, so you can search any text inside all documentations, or inside a specific one.You can find a complete documentation here:http://updoc.readthedocs.org/en/latest/.
Package: updog
Updog is a replacement for Python'sSimpleHTTPServer.
It allows uploading and downloading via HTTP/S,
can set ad hoc SSL certificates and use HTTP basic auth.InstallationInstall using pip:pip3 install updogUsageupdog [-d DIRECTORY] [-p PORT] [--password PASSWORD] [--ssl]ArgumentDescription-d DIRECTORY, --directory DIRECTORYRoot directory [Default=.]-p PORT, --port PORTPort to serve [Default=9090]--password PASSWORDUse a password to access the page. (No username)--sslEnable transport encryption via SSL--versionShow version-h, --helpShow helpExamplesServe from your current directory:updogServe from another directory:updog -d /another/directoryServe from port 1234:updog -p 1234Password protect the page:updog --password examplePassword123!Please note: updog uses HTTP basic authentication.
To login, you should leave the username blank and just
enter the password in the password field.Use an SSL connection:updog --sslThanksA special thank you toNicholas Smithfor
designing the updog logo.
Package: updoon
updoonTheupdoonpackage is a collection of python function
and classes to download or synchronize datasets.(I just dump all mydata engineeringsnippets.)InstallationCheck the source code athttps://github.com/ulf1/updoonpipinstallupdoonLoad the packageI am going to use the ud shortcutimportupdoonasudVersioningX: Major changes for the packageY: New function, class, module was addedZ: Bugfixes, minor changesThis package will be0.X.Yfor an unseen future.An version1.X.Ymight involve heavy refactoring, using base classes, etc. I personally have no interest in doing library architecture. Thus, I will not be the driving force for anyX>0version.Notes to myselfUpdate setup.py (version, requirements)Update CHANGES.txt (what's added, changed, removed?)Run:python setup.py sdist upload -r pypiFunction and ClassesQuandlquandl_apikey_set-- Store Quandl API Key locallyquandl_apikey-- Read locally stored Quandl API Key.FRED2fred_apikey_set-- Store FRED API Key locallyfred_apikey-- Read locally stored FRED API Key.
Package: updownio
updownio projectupdownio is a free and open-source, it's a python wrapper for the updown.io API.Installationpip install updownioEnvironment variablesVariableDescriptionDefaultUPDOWN_ACCEPTHTTP Accept request-headerapplication/jsonUPDOWN_ACCEPT_ENCODINGHTTP Accept-Encoding request-headergzipUPDOWN_API_KEYAPI key for authenticationUPDOWN_ENDPOINTAPI Endpointhttps://updown.ioUPDOWN_TIMEOUTRequest timeout in seconds60UsageImport libraryimportupdownioInitialize service with argumentsupdown_checks=updownio.service('checks',api_key='xxxxxxxxxxx',endpoint='https://example.org/api',timeout=3600)EndpointsChecksList all your checkschecks=updownio.service('checks').list()Show a single checkSelect check by tokencheck=updownio.service('checks').show(token='xxxx')or by URLcheck=updownio.service('checks').show(url='https://example.org')Get all the downtimes of a checkSelect downtimes by tokencheck=updownio.service('checks').downtimes(token='xxxx'params={'page':1,'results':False})or by URLcheck=updownio.service('checks').downtimes(url='https://example.org')Get detailed metrics about the checkSelect metrics by tokencheck=updownio.service('checks').metrics(token='xxxx',params={'from':'2022-12-16 15:11:17 +0100','to':'2023-01-16 15:11:17 +0100','group':'host'})or by URLcheck=updownio.service('checks').metrics(url='https://example.org')Add a new checkcheck=updownio.service('checks').add('https://example.org',data={'apdex_t':2.0,'disabled_locations':['fra','syd'],'period':3600,'recipients':['email:xxxxxxxx','slack:xxxxxxxx']})Update a checkSelect check by tokencheck=updownio.service('checks').update(token='xxxx',data={'apdex_t':1.0,'disabled_locations':['fra','syd'],'recipients':['email:xxxxxxxx','slack:xxxxxxxx']})or by URLcheck=updownio.service('checks').update(url='https://example.org',data={'apdex_t':1.0,'disabled_locations':['fra','syd'],'recipients':['email:xxxxxxxx','slack:xxxxxxxx']})Delete a checkSelect check by tokenupdownio.service('checks').delete(token='xxxx')or by URLupdownio.service('checks').delete(url='https://example.org')NodesList all updown.io monitoring nodesnodes=updownio.service('nodes').list()List all updown.io monitoring nodes IPv4 addressesnodes=updownio.service('nodes').ipv4()List all updown.io monitoring nodes IPv6 addressesnodes=updownio.service('nodes').ipv6()RecipientsList all the possible alert recipients/channels on your accountrecipients=updownio.service('recipients').list()Add a new recipientrecipients=updownio.service('recipients').add(xtype='email',value='xxxxxxxx',data={'selected':True})Delete a recipientupdownio.service('recipients').delete(xid='email:xxxxxxxx')Status pagesList all your status pagesstatus_pages=updownio.service('status_pages').list()Add a new status pagestatus_page=updownio.service('status_pages').add(['xxxx','yyyy','zzzz'],data={'name':'foo','description':'bar'})Update a status pagestatus_page=updownio.service('status_pages').update(token='xxxx',data={'checks':['xxxx','zzzz'],'name':'spam','description':'ham'})Delete a status pageupdownio.service('status_pages').delete(token='xxxx')
Package: updrytwist-UpDryTwist
This project is a collection of the utilities that I use all the time in different projects,
most of which are around home automation-type activities, or kiosk screens, or tinkering
with a Raspberry Pi.How to Installpip install updrytwistHow to UseMaybe at some point this will be filled in.  But for now, just read the source.Contact InformationPlease contact through github (UpDryTwist).
Package: uperations-kernel
This repository contains the required models to build an [Uperation](https://github.com/baminou/uperations) project.LibraryA library contains a group of operations. Once your Uperation project done, you can create a module that will
contain all your operations and upload to pypi. Those operations can then be re-used in another project,
a Dockerfile or any other system. In an Uperation project, a default command has the following format:./uperation [LIBRARY_NAME] [OPERATION_NAME]LIBRARY_NAME: The name of the library that is defined by the user of this one in the kernel.py file. To avoid collisions between library names, the user of the library can rename the LIBRARY_NAME in his project.OPERATION_NAME: Name of the operation in the library. This is defined by the creator of the library.OperationAn operation is an action to be executed. The purpose of an operation is to be easily re-usable in different workflows, or any other projects. An operation is by default independent of other operations, and is easy to document.
Once an operation is created, the testing of this operation can be easily done following pytest convention.
Package: up-esb
Embedded Systems BridgeThis library provides general funcitonalities for using theUnified Planninglibrary in robotic applications:helper functions to map object representations in your application domain to the UP domain and vice versa, e.g., to retrieve executable actions from a generated UP planplan dispatchers for automated execution of action plansplan monitoring for validating action execution and performing precondition checks on subsequent actionsApplication examplesTo see the Embedded Systems Bridge in use, please refer to our related repositories:drone experiment[GenoM3-Pocolibs, Gazebo]pick-and-place robot environment[ROS1 Noetic, Gazebo]DevelopmentThis repo haspre-commitconfigurations. You can use this locally and set it up to run automatically before you commit something. To install, use pip:pip3install--userpre-commitTo run over all the files in the repo manually:pre-commitrun--all-filesTo run pre-commit automatically before committing in the local repo, install the git hooks:pre-commitinstallAcknowledgmentsThis library is being developed for the AIPlan4EU H2020 project (https://aiplan4eu-project.eu) that is funded by the European Commission under grant agreement number 101016442.
Package: upfp
uniprot_fasta_parserUniProt FASTA parser written in pure python.Development setupCreate avenv:python-mvenvvenvActivate it:sourcevenv/bin/activateInstall dependencies:pipinstall-rrequirements.txtInstall the package in editable mode:pipinstall-e.Installjupiterplayground:pipinstalljupyter
ipythonkernelinstall--user--name=uniprot_fasta_parserTutorial on converting FASTA sequences into CSV formatGet the latest FASTA from UniProt SwissProt:wgetftp://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gzThe scriptupfp-fasta-to-csv(installed withupfp) can be used.upfp-fasta-to-csv -husage: upfp-fasta-to-csv [-h] [-g] [-c CHUNK_SIZE] fasta_filepath csv_filepathpositional arguments:fasta_filepath        path to the FASTA file.csv_filepath          path where to store the CSV file.optional arguments:-h, --help            show this help message and exit-g, --gzipped         flag to indicate whether the FASTA is gzipped.Defaults to False.-c CHUNK_SIZE, --chunk_size CHUNK_SIZEsize of the chunks used when writing the CSV file.Defaults to 10000.Provide as input the downloaded gzipped FASTA file and convert it to CSV:upfp-fasta-to-csvuniprot_sprot.fasta.gz/path/to/file.csv-gRevert CSV to FASTAYou might want to recreate FASTA format from a CSV resulting fromupfpwith the scriptupfp-csv-to-fasta.upfp-csv-to-fasta -husage: upfp-csv-to-fasta [-h] [-g] [-c CHUNK_SIZE] csv_filepath fasta_filepathpositional arguments:csv_filepath          path to the CSV file or SMI file.fasta_filepath        path where to store the FASTA fileoptional arguments:-h, --help            show this help message and exit-g, --gzipped         flag to indicate whether the FASTA should be gzipped.Defaults to False.-c CHUNK_SIZE, --chunk_size CHUNK_SIZEsize of the chunks used when writing the FASTA file.Defaults to 10000.
Package: upfpy
UpfPyThis package includes a function, factor(); it takes an integer and returns a list.This list represents the Unique Prime Factorization of a given integer.https://simple.wikipedia.org/wiki/Fundamental_theorem_of_arithmetichttps://en.wikipedia.org/wiki/Fundamental_theorem_of_arithmeticThe values of the list indices are such that the nth index contains the power on the nth prime in the Unique Prime Factorization of the given integer so that 2=[1], 3=[0,1] and 12=[2,1] and so fourth; the list terminates when the rest of the subsequent values are all zero.These lists are stored in a file called vectors.txt as csv. The reason I made this is partly to generate that file. Next we will be adding a number of basic functions to analyze that file which is really a model of the prime factor structure inside integers; and also I want to make it faster and make it reflect other aspects of prime numbers such as all primes greater than 3 are either 1 or 5 modulo 6.InstallationRun the following to install:pip install upfpyUsageThe first time upfpy is imported it will create a file, vectors.txt; from here on out will refer to the lists produced by factor() as vectors. The inital file contains four rows.The first row will be a csv list of primes and the initial file will just have a 2 here. When factor() is given a number, say N, greater than 2, all the primes less than N will appended here after a comma; it will append N if N is prime. The subsequent rows are vectors, i.e., unique prime factor lists.The second row will contain an empty bracket [ ], this represents the integer zero and is the "null" or "empty" vector.The third row represents the number one and contains a '0'. Consider:1 = (2**0)*(3**0)*(5**0)*(7**0)...(n**0)... = [0,0,0,0,...] = [0]; where n is the nth primewhich is not true in python but it's true in math and we are modeling this structure using python.The forth row represents the integer 2 and contains a '1'; because...2 = (2**1)*(3**0)*(5**0)... = [1,0,0,...] = [1]...python>>> from upfpy import *>>> factor(30)[1,1,1]There is one class, UFD() in upfpy and it has two subclasses Generate() and Show(); I will relocate and change this. Generate() is used to calculate vectors that arent already in vectors.txt and writes them to there as needed.If you exectued factor(30) as earlier you could execute:>>> UFD().primes[2, 3, 5, 7, 11, 13, 17, 19, 23, 29]also note:>>> UFD().vectors[1:6][[0], [1], [0, 1], [2], [0, 0, 1]]and:>>> UFD().show()0 []1 [0]2 [1]3 [0, 1]4 [2]5 [0, 0, 1]...28 [2, 0, 0, 1]29 [0, 0, 0, 0, 0, 0, 0, 0, 0, 1]30 [1, 1, 1]
Package: upfront.foldercontents
Introductionupfront.foldercontents is a folder contents implementation that does not
depend on the portal_catalog. It adapts IFolderish content to a folder
implementation that indexes allowedRolesAndUsers directly on the
container and iterate directly over the objects in the container.Once you use the foldercontents adapter provided by this package you no
longer depend on the portal_catalog to list the content of a folder. No
indexes are removed from the catalog however since it is not the
responsibility of this package to do so.Currently it does not support sorting inside a folder and does not have
an index that is equivalent to getObjectPositionInParent. You are
encouraged to subclass and extend the existing adapter if you want this
functionality.CompatibilitySo far it has only been tested on Plone 3.x.InstallationSimply add the egg to your buildout configuration.Changelog1.0Initial release
Package: upfront.navportlet
Introduction============upfront.navportlet provides a navigation portlet that uses a dedicatednavigation catalog for it's queries. It is otherwise identical to thestandard Plone navigation portlet.This portlet uses a dedicated catalog for navigation to ensure thatnavigation can work indepentant of the portal_catalog. By using aseparate catalog the indexes and metadata required for navigation ismade explicit.The development of this portlet was inspired by upfront.diet:http://www.upfrontsystems.co.za/Members/roche/where-im-calling-from/upfront-diet.Compatibility=============Works with Plone 3 and 4.Installation============Please note that this package overrides the standard Plone navigationportlet.1. Simply include it as an egg in your buildout and run buildout again:[buildout]...eggs = upfront.navportletThere is no need to include it in the zcml section of your buildoutconfiguration since it uses z3c.autoinclude to install itself.2. Start your Zope instance and install it using theportal_quickinstaller.3. If you install upfront.navportlet into an existing site, you canreindex all content in your site in the nav_catalog using the NavigationPortlet configlet in Site Setup.Custom Content Types====================If you have custom content types that need to be displayed in theNavigation Catalog you need to create a generic setup profile and listyour content types in archetype_tool.xml, eg.:<?xml version="1.0"?><archetypetool><catalogmap><type portal_type="MyType"><catalog value="portal_catalog"/><catalog value="nav_catalog"/></type></catalogmap></archetypetool>Changelog=========1.0---- Initial release
Package: upfront.simplereferencefield
simplereferencefield is an Archeteyps reference field implementationthat stores the references directly on the object without indexing it inthe reference_catalog.Create a document that references news.>>> self.loginAsPortalOwner()>>> self.portal.invokeFactory('Document', 'doc1')'doc1'>>> doc = self.portal['doc1']>>> doc.setRelatedItems(self.portal.news)>>> doc.reindexObject()>>> doc.getRelatedItems()[<ATFolder at /plone/news>]The document has a relationship.>>> doc.getRelationships()['relatesTo']Change relatedItems in the document's schema to be aSimpleReferenceField.>>> from Products.ATContentTypes.content.document import ATDocument>>> from upfront.simplereferencefield import SimpleReferenceField>>> ATDocument.schema['relatedItems'] = SimpleReferenceField(...   'relatedItems', relationship='relatesTo', multiValued=1)>>> ATDocument.schema['relatedItems'].type'simplereference'Create a document that references news.>>> self.portal.invokeFactory('Document', 'doc2')'doc2'>>> doc = self.portal['doc2']>>> doc.setRelatedItems(self.portal.news)>>> doc.reindexObject()>>> doc.getRelatedItems()[<ATFolder at /plone/news>]The document has no relationships.>>> doc.getRelationships()[]If we reference doc1 from doc2, doc1 will have doc2 set as backreference.>>> self.portal.doc2.setRelatedItems(self.portal.doc1)>>> self.portal.doc2.getRelatedItems()[<ATDocument at /plone/doc1>]>>> self.portal.doc1.getRelatedItems()[<ATDocument at /plone/doc2>]Back references are set by default but can be disabled.>>> ATDocument.schema['relatedItems'] = SimpleReferenceField(...   'relatedItems', relationship='relatesTo', multiValued=1,...   set_backreference=False)>>> self.portal.invokeFactory('Document', 'doc3')'doc3'>>> self.portal.doc3.setRelatedItems(self.portal.doc1)>>> self.portal.doc3.getRelatedItems()[<ATDocument at /plone/doc1>]>>> self.portal.doc1.getRelatedItems()[<ATDocument at /plone/doc2>]Changelog=========0.5.1-----* Make a new release with only a source distribution. Egg distributiondoes not install properly with buildout.0.5---* Initial release
Package: upf-to-json
UPF to JSON converterUPF is a file format to describe atomic pseudo-potentials used by (DFT) density
functional theory codes. This package provides scripts for converting UPF v1 and
UPF v2 (Unified Pseudopotential Format) to json format as required by the SIRIUS
DFT librarySIRIUS github.More information about the unified pseudopotential format can be found here:https://www.quantum-espresso.org/pseudopotentials/unified-pseudopotential-format
Package: upf-tools
upf-toolsTools for handling.upf(Unified Pseudopotential Format) files💪 Getting Startedfromupf_toolsimportUPFDictpsp=UPFDict.from_upf('/path/to/file.upf')UPFDictis a lightweight class that behaves like a dictionary with a few added functionalities.Command Line InterfaceTheupf-toolscommand line tool is automatically installed. It can
be used from the shell with the--helpflag to show all subcommands:$upf-tools--helpFor example, you can extract the input file that was used to generate a.upffile via$upf-toolsto-input/path/to/pseudo.upf>pseudo.in🚀 InstallationThe most recent release can be installed fromPyPIwith:$pipinstallupf_toolsThe most recent code and data can be installed directly from GitHub with:$pipinstallgit+https://github.com/pseudopotential-tools/upf_tools.git👐 ContributingContributions, whether filing an issue, making a pull request, or forking, are appreciated. SeeCONTRIBUTING.mdfor more information on getting involved.👋 Attribution⚖️ LicenseThe code in this package is licensed under the MIT License.🍪 CookiecutterThis package was created with@audreyfeldroy'scookiecutterpackage using@cthoyt'scookiecutter-snekpacktemplate.🛠️ For DevelopersSee developer instructionsThe final section of the README is for if you want to get involved by making a code contribution.Development InstallationTo install in development mode, use the following:$gitclonegit+https://github.com/pseudopotential-tools/upf_tools.git
$cdupf_tools
$pipinstall-e.🥼 TestingAfter cloning the repository and installingtoxwithpip install tox, the unit tests in thetests/folder can be
run reproducibly with:$toxAdditionally, these tests are automatically re-run with each commit in aGitHub Action.📖 Building the DocumentationThe documentation can be built locally using the following:$gitclonegit+https://github.com/pseudopotential-tools/upf_tools.git
$cdupf_tools
$tox-edocs
$opendocs/build/html/index.htmlThe documentation automatically installs the package as well as thedocsextra specified in thesetup.cfg.sphinxplugins
liketexextcan be added there. Additionally, they need to be added to theextensionslist indocs/source/conf.py.📦 Making a ReleaseAfter installing the package in development mode and installingtoxwithpip install tox, the commands for making a new release are contained within thefinishenvironment
intox.ini. Run the following from the shell:$tox-efinishThis script does the following:UsesBump2Versionto switch the version number in thesetup.cfg,src/upf_tools/version.py, anddocs/source/conf.pyto not have the-devsuffixPackages the code in both a tar archive and a wheel usingbuildUploads to PyPI usingtwine. Be sure to have a.pypircfile configured to avoid the need for manual input at this
stepPush to GitHub. You'll need to make a release going with the commit where the version was bumped.Bump the version to the next patch. If you made big changes and want to bump the version by minor, you can
usetox -e bumpversion -- minorafter.