Saravanan666/pypi-org huggingface dataset:
Package: pop-tree
POP structure visualization toolAboutVisualize POP hub/sub structures withpop-tree, and view embedded rst content
withpop-doc.pop-tree source codepop-tree documentationWhat is POP?This project is built withpop, a Python-based
implementation ofPlugin Oriented Programming (POP). POP seeks to bring
together concepts and wisdom from the history of computing in new ways to solve
modern computing problems.For more information:Intro to Plugin Oriented Programming (POP)pop-awesomepop-createGetting StartedPrerequisitesPython 3.8+git(if installing from source, or contributing to the project)InstallationNoteIf wanting to contribute to the project, and setup your local development
environment, see theCONTRIBUTING.rstdocument in the source repository
for this project.If wanting to usepop-tree, you can do so by either
installing from PyPI or from source.Install from PyPIBare installation with no dependenciespipinstallpop-treeInstallation for pretty yaml outputpipinstallpop-tree\[rend\]Installation for incredible graphspipinstallpop-tree\[networkx\]Install everythingpipinstallpop-tree\[full\]Install from source# clone repogitclonegit@<your-project-path>/pop-tree.gitcdpop-tree# Setup venvpython3-mvenv.venvsource.venv/bin/activatepipinstall-e.\[full\]Pop-docAnother cli tool that comes with pop-tree is pop-doc.
You can use this to grab the documentation for specific references on the hub.pop-doctree.init.refsoutput:ref:tree.init.refsdoc:Return all the references available on the hub by reference firstcontracts:pre:call:post:parameters:hub:tree:annotation:typing.Dict[str, typing.Any]return_annotation:EXECUTIONAfter installation thepop-treecommand should also be available.
Pop tree will add all dynamic namespaces in your current python environment to the hub.pop-treeexecOUTPUTIf you installed pop-tree with the [rend] extras, then–outputcan be used to specify an outputter from therendproject
To see which outputters are available, just runpop-treeoutputWhich will dynamically load theoutputdynamic namespace from therendproject and print the subs loaded immediately beneath it.pop-tree--outputnestedGRAPHThere are many different graphing plugins, some print to the terminal, and some open a shiny graph in a new window.
To list the available graphing plugins, runpop-treegraphA graph plugin can be specified with the–graphoption.pop-tree--graphnetworkxWhich should print off a beautiful matplotlib plot to visualize your pop ecosystem.
Use these arguments together to create impressive visuals for your project.RoadmapReference theopen issuesfor a list of
proposed features (and known issues).AcknowledgementsImg Shieldsfor making repository badges easy.
Package: populate-data-deterministic
populate_data_deterministicPopulate initial data in Django for development purposes & testing easily.Free software: MIT licenseDocumentation:https://populate-data-deterministic.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2022-07-01)First release on PyPI.
Package: populater
Cross platform string syntax for reliably extracting object dataUsage examplesimport Populater

Person = {
    "age": 17,
    "name": {
        "first": "Marty",
        "last": "Mcfly",
        "full": "Marty Mcfly"
    }
}
ctx                               =  Populater( Person )

assert ctx('{{ age }}')                   == '17'
assert ctx('< age')                       == 17
assert ctx('= {{ age }}')                 == 17
assert ctx("< name.first")                == "Marty"
assert ctx("= {{ age }} > 18")            is True
assert ctx("{{ name.none }}")             == ""
assert ctx("= {{ name.none }}")           is None
assert ctx(":= {{ name.full }}")          == "= Marty Mcfly"
assert ctx("= '= {{ name.full }}'")       == "= Marty Mcfly"
assert ctx(":: {{ name.full }}")          == ": Marty Mcfly"
assert ctx("= self['name']['full']")      == "Marty Mcfly"
Package: population-data
A package that allows you to get world and country pouplation dataPopulation Data of the worldDeveloped by Anshu from Techi Tutorials (c) 2021How To Usefrompopulation_dataimportPopulation_data# YOUR API KEY(Get it from here https://rapidapi.com/aldair.sr99/api/world-population/)my_api=YOURAPIKEY# country population datacountry_population=Population_data.get_country_population(my_api,"Canada")print(country_population)# world population dataworld_population=Population.get_world_population(my_api)print(world_population)get_country_population() method takes additional argument of the query string, that is country name
and returns the json responseCheck out:https://techitutorials.com
Package: population-structure
Population Structure PackageA package for performing transformation between fst, coalescence, and migration matrices.
The transformation between coalescence and migration is based on Wilkinson-Herbot's equations (2003).
The transformation between fst and coalescence is based on the Slatkin's equations (2001).Install package using pippip install population-structureExample usuageimportpopulation_structure.utilsaspsuimportnumpyasnpm=np.array([[0,1,1],[1,0,1],[1,1,0]])# A conservative migration matrixt=psu.m_to_t(m)# The corresponding coalescence matrix according to W.H. (2003)f=psu.m_to_f(m)# The corresponding fst matrix according to Slatkin (2001)print(f"{t}\n{f}")"""prints:[[3. 4. 4.][4. 3. 4.][4. 4. 3.]][[0.         0.14285714 0.14285714][0.14285714 0.         0.14285714][0.14285714 0.14285714 0.        ]]"""f=np.array([[0,0.1,0.2],[0.1,0,0.3],[0.2,0.3,0]])# An fst matrixpsu.f_to_t(f)# Generates a possilbe corresponding coalescence matrixpsu.f_to_m(f)# Generate a possible corresponding migration matrix
Package: populi-mrobison
PopuliThis module interacts with the populi api, handling pagination, and rate limiting using pycurl.
Most every command foundhere, can be accessed via pythonic methods. I have attempted to keep the two in syncExampleimportpopulipopuli.initialize(endpoint='https://example_campus.populi.web.com/api/index.php',access_key='example access key',asXML=True)# returns transactions as xmlresults=populi.get_transactions(start_date='2012-10-01',end_date='2012,10-02')Versions0.0.6Updated Command list as of commands shown on populi on May 25th, 2020Fixed downloadFile and downloadBackup to return bytes.0.0.7Enabled passing curl options via initialize(). The added option list is in the format of tuples: (pycurl.OPTION, value).
Package: populllus
# PopuLLLus**NOTE** from @veox:This is a fork of [Populus](https://github.com/ethereum/populus) with somerough commits to enable developing in LLL. It is the same as my[`lll-to-merge`](https://github.com/veox/populus/tree/lll-to-merge) branch.It will install as `populus`, not `populllus`! For this reason, it isrecommended installing inside a `virtualenv`.Also, it will _still_ require specifying the `LLLBackend` manually in theproject config.I never got to making its use sane; for example, it will proceed withoutraising an exception even if `lllc` failed to compile a contract, and won'teven print what the compiler complained about.I never got to proper integration into upstream Populus, since the latterfell behind in maintenance, and is now in re-design/re-implementation phaseanyway.I did, however, use this fork in a number of projects:* https://gitlab.com/veox/lll-contracts* https://gitlab.com/veox/lll-creation-patterns* https://gitlab.com/veox/oobiqooBreaking this fork out as a standalone project allows me to make a PyPIpackage, specify it as a dependency in those other codebases, and allowfor straightforward reproduction by others. In the end, this is the goal:make the software easy to approach and hack on, is so you may wish.Runnable CI is a bonus. :)-----The rest of README remains as-is since forked.**Many other project-level documentation is outdated, too.**----------## Documentation[Documentation on ReadTheDocs](http://populus.readthedocs.org/en/latest/)## Installation```shpip install populus```## Development```shpip install -e . -r requirements-dev.txt```### Running the testsYou can run the tests with:```shpy.test tests```Or you can install `tox` to run the full test suite.### ReleasingPandoc is required for transforming the markdown README to the proper format torender correctly on pypi.For Debian-like systems:```apt install pandoc```Or on OSX:```shbrew install pandoc```To release a new version:```shbumpversion $$VERSION_PART_TO_BUMP$$git push && git push --tagsmake release```#### How to bumpversionThe version format for this repo is `{major}.{minor}.{patch}` for stable, and`{major}.{minor}.{patch}-{stage}.{devnum}` for unstable (`stage` can be alpha or beta).To issue the next version in line, use bumpversion and specify which part to bump,like `bumpversion minor` or `bumpversion devnum`.If you are in a beta version, `bumpversion stage` will switch to a stable.To issue an unstable version when the current version is stable, specify thenew version explicitly, like `bumpversion --new-version 4.0.0-alpha.1 devnum`
Package: populous
Populous is a tool for fast and rich data generation. From a description
of your schema say how many objects you want, what they should look
like, and populous will create them for you!Current stateThe project is in a very early stage and proof-of-concept state. Please
be patient, but don’t hesitate to share your thoughts and desires with
us in the issues.DocumentationSorry, but the documentation is not ready yet :( .However, if you are very eager to try it, here is what you can do:Install populous:pip install populousHave a PostgreSQL database at handFind some blueprints (YAML files describing what you want to
generate) or create some. This is the tricky part, but you can find
some examples in thedemo/blueprints/directory.Launch populous with those blueprints:populous run postgresdemo/blueprints/*.yml(you can pass your
postgres instance either viaPG*environment variables or via
arguments)Gaze at your freshly generated data viapsqlor any other tool!TroubleshootingOSX compilation problemsThere’s currently no pre-compiled package for thepeloton_bloomfilterslibrary, which is a current requirement for
populous. To correctly install it in your environment, you’re going to:installgcc(via homebrew, for example),install the package using the following flagsARCHFLAGS="-archx86_64"CC=/usr/bin/gcc.For example, to install locally:ARCHFLAGS="-arch x86_64" CC=/usr/bin/gcc pip install peloton_bloomfiltersOr if you want to run the test suite via tox:ARCHFLAGS="-arch x86_64" CC=/usr/bin/gcc tox
Package: populse-mia
DocumentationThe documentation is available on populse_mia's website hereInstallationFrom PyPI,for usersBy cloning the package,for developersFrom source,to use the latest version of populse_miaThird-party softwareUsageAfter aninstallation in user mode:python3 -m populse_miaAfter aninstallation in developer mode, interprets the main.py file from the source code directory:cd [populse_install_dir]/populse_mia/populse_mia
python3 main.pyDepending on the operating system used, it was observed some compatibility issues with PyQt5/SIP. In this case, we recommend, as a first attempt, to do:python3 -m pip install --force-reinstall pyqt5==5.14.0
python3 -m pip install --force-reinstall PyQt5-sip==5.0.1A minimal data set (~500 MB, zip file with Bruker, Philips and NIfTI data) can be downloadedhereto allow users to quickly start using and testing Mia.Contributing to the projectIf you'd like to contribute to the project please read ourdeveloper documentation page. Please also read throughour code of conduct.TestsUnit tests written thanks to the python module unittestContinuous integration made with Travis (Linux, OSX), and AppVeyor (Windows)Code coverage calculated by the python module codecovThe module is ensured to work with Python >= 3.6The module is ensured to work on the platforms Linux, OSX and WindowsThe script of tests is populse_mia/test.py, so the following command launches the tests:python3 populse_mia/test.py (from populse_mia root folder, for example [populse_install_dir]/populse_mia)Requirementscapsul >= 2.5.0, < 3.0.0cryptographymatplotlibmia-processes >= 2.5.0, < 3.0.0nibabelnipypepillowpopulse-db >= 2.5.0, < 3.0.0pre-commitpyqt5python-dateutilpyyamlscikit-imagescipysnakevizsoma-base >= 5.2.0, < 6.0.0soma-workflow >= 3.2.2six >= 1.13traitsOther packages usedsphinxunittestLicenseThe whole populse project is open sourcePopulse_mia is precisely released under the CeCILL software licenseAll license details can be foundhere, or refer to the license filehere.Support and CommunicationAll bugs, concerns and enhancement requests for populse_mia can be submittedhere.The developer team can even be contacted usingpopulse-support@univ-grenoble-alpes.fr.
Package: populus
Development framework for Ethereum smart contractsDocumentationDocumentation on
ReadTheDocsInstallationpipinstallpopulusDevelopmentpipinstall-e.-rrequirements-dev.txtRunning the testsYou can run the tests with:py.testtestsOr you can installtoxto run the full test suite.ReleasingPandoc is required for transforming the markdown README to the proper
format to render correctly on pypi.For Debian-like systems:apt install pandocOr on OSX:brewinstallpandocTo release a new version:bumpversion$$VERSION_PART_TO_BUMP$$gitpush&&gitpush--tagsmakereleaseHow to bumpversionThe version format for this repo is{major}.{minor}.{patch}for
stable, and{major}.{minor}.{patch}-{stage}.{devnum}for unstable
(stagecan be alpha or beta).To issue the next version in line, use bumpversion and specify which
part to bump, likebumpversion minororbumpversion devnum.If you are in a beta version,bumpversion stagewill switch to a
stable.To issue an unstable version when the current version is stable, specify
the new version explicitly, likebumpversion--new-version4.0.0-alpha.1devnum
Package: popups
popups安装命令行执行pip install -U popups使用frompopups.dismissimportpopup,UT# 默认是False状态，使用时需要打开UT.ENABLE=True# 图片模版路径，不传则使用popups自带的模版库IMG_PATH='your_tpl_path'# 是否启用系统弹窗处理UT.SYS=True# 是否启用APP弹窗处理UT.APP=False# 是否是iOS系统UT.iOS=True# 循环执行次数，默认为1次UT.LOOP=1# 超时时间，默认为5秒UT.TIMEOUT=5# 单独使用popup时需要传入设备URL，配合utx使用时无需关注DEVICE='Android://127.0.0.1:5037/SJE5T17B17'popup(devices=DEVICE)
Package: popupsort
PopUpSortWith the assistance of ChatGPT-3.5, I was able to create this sorting visualizer.The PopUpSort package is a Python package that visualizes multiple sorting algorithms. The package uses the Tkinter library for the graphical user interface.RequirementsPython 3.xtkinter library (included in most Python installations)InstallationMethod 1: Using pippipinstallpopupsortMethod 2: Download the source code, then open terminal in the downloaded folder (where setup.py is) and runpipinstall.UsageFirst import the packageimportpopupsortaspusSyntaxpus.sort(array,algorithm,speed)# Sorting an already defined arraypus.sort_rand(size,min,max,algorithm,speed)# Auto generate an array and sort itpus.sort_compare(array,algorithms,speed)# Compare sorting algorithmspus.sort_compare_rand(size,min,max,algorithms,speed)# Auto generate an array and compare sorting algorithmsAlgorithmsReplace 'algorithm' argument with any of these options:'Bubble Sort' or 'b''Selection Sort' or 's''Insertion Sort' or 'i''Quick Sort' or 'q''Merge Sort' or 'm''Heap Sort' or 'h''Shell Sort' or 'sh'For sorting comparision, replace 'algorithms' argument with a list of algorithms:algorithms=['b','s','i','q','m','h','sh']# You can remove any algorithms you don't want to compareExamplesarr=[60,24,21,65,93,56,35,10,55,49,86,76]# Define an arraypus.sort(arr,'b',0.02)# Visualize the bubble sort of this array with a speed of 0.02spus.sort_rand(50,1,100,'i')# Generate an array of size 50 with elements ranging from 1 to 100 and sort it using insertion sort, speed is 0.01 by defaultpus.sort_compare(arr,['s','i'])# Compare selection and insertion algorithmspus.sort_compare_rand(100,1,20,['q','h','m'])# Generate an array and compare quick sort, heap sort, and merge sort
Package: pop-utils
The pop-utils package provides a collection of utilities to optimize the
deployment and management of a POP-C++ or POP-Java based setup with a special
focus on cloud deployments and Amazon Web Services.UtilitiesThe different utilities that come with thepop-utilspackage are:pop--cloud-master– An AWS/Eucalyptus based utility to create base
machine images for custom POP-C++/POP-Java deployments.pop-cloud-setup– An AWS/Eucalyptus based utility to setup a complete
POP environment on a cloud service of choice.pop-cloud-destroy– A companion utility of thepop-cloud-setuputility to deploy an application to a particular setup (created either
manually or using thepop-cloud-setuputility).POP deployment toolsa collection offabcommands to remotely operate
on an already setup POP deployment.LicenseThe whole package is released under the MIT license. Note though that the
POP-C++/POP-Java sources are only available under the GPL license.Linkshttps://github.com/GaretJax/pop-utils– Website of the pop-utils projecthttp://pypi.python.org/pypi/pop-utils/– PyPI page of the packagehttp://gridgroup.hefr.ch/popc– Website of the POP-C++ projecthttp://aws.amazon.com/– Amazon Web Services homepagehttp://www.eucalyptus.com/– Eucalyptus home page
Package: popy
Parser for GNU Po filesInstallationInstall using pip:pip install popyUsageUsing popy to parse a PO file:from popy.po_file import PoFile

f = PoFile(path='/path/to/your/file.po')
messages = f.get_messages() # gets all the messages
messages[0]
# MessageEntry object
messages[0].msgid
# First message's msgid
messages[1].msgstr
# Second message's msgstr as a listMessageEntry objectThese are the attributes:msgid: str
msgstr: list of strings
msgid_plural: str
msgctxt: str
translator_comments: list of strings
extracted_comments: list of strings
references: list of strings
flags: list of strings
is_fuzzy: booleanThese are the important methods:fix_newline_matching()
# Adds or removes newlines to/from msgstr in order to match msgid and msgstr newlines at the beginning or end.

__str__()
# Generates a message blockPoFile objectThese are the attributes:path: str
messages: list of MessageEntry objectsThese are the important methods:get_messages()
# Reads messages and returns list of MessageEntry objects

write_messages()
# Writes MessageEntry objects into the file

fix_newline_matching()
# Applys fix_newline_matching to the whole file

__str__()
# Generates a message block
Package: popylar
PopylarRecord software use with Google Analytics.Licensepopylaris licensed under the terms of the BSD license. See the file
“LICENSE” for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.All trademarks referenced herein are property of their respective holders.Copyright (c) 2016–, Ariel Rokem, The University of Washington
eScience Institute.
Package: poqywx
👉项目官网：https://www.python-office.com/👈👉本开源项目的交流群👈📚简介poai是python+人工智能的小工具。📦安装🍊pip 自动下载&更新pip install -i https://pypi.tuna.tsinghua.edu.cn/simple poai -U📝功能1行Python代码，对话ChatGPT，网友：太方便了！🐞提供bug反馈或建议提交问题反馈时，请务必填写和python-office代码本身有关的问题，不进行有关python学习，甚至是个人练习的知识答疑和讨论。Github issue📌进交流群
Package: por
Policy, Organisation & RulesTheporproject aims to automatically generate
the Scouts'Policy, Organisation and Rules.NoticeThis isnotan official resource, but a prototype of automatically
generating POR.Where to get itThe source code for the project is hosted on GitHub atthe-scouts/porDependenciesrequests- for intuitive HTTP requestslxml- for parsing HTML documentsSphinx- for rendering textLicenseporis naturallyopen sourceand is
licensed under theMIT license.The copyright of Policy, Organisation and Rules remains with The Scout Association.
Package: porchlight
porchlightporchlightis a function management suite that handles shared inputs and
outputs of methods and/or functions which evolve over the lifetime of a program.This package's original intent was to be a part of a modular scientific package
yet to be released. Rather than isolating this method to a single model, the
already-developed work has been modified to stand alone as a package.porchlightdoes not have any dependencies outside of the standard CPython
library. Please note thatporchlightrequires Python 3.9+, and that examples
may require external libraries such asnumpyandmatplotlib.InstallationYou can installporchlightusingpip:pip install porchlightUsageThe main object used inporchlightis theporchlight.Neighborhoodobject.
This groups all functions together and keeps track of call order and
parameters.importporchlight# To add a function, we simply define it and pass it to porchlight.defincrease_x(x:int,y:int)->int:x=x*yreturnx# Type annotations are optional, as with normal python.defstring_x(x):x_string=f"{x= }"returnx_stringdefincrement_y(y=0):y=y+1returny# Generating a complete, coupled model between these functions is as simple as# adding all these functions to a Neighborhood object.neighborhood=Neighborhood([increment_y,increase_x,string_x])# The neighborhood object inspects the function, finding input and output# variables if present. These are added to the collections of functions and# parameters.print(neighborhood)# We initialize any variables we need to (in this case, just x), and then# executing the model is a single method call.neighborhood.set_param('x',2)neighborhood.run_step()# Print out information.forname,paraminneighborhood.params.items():print(f"{name}={param}")DocumentationDocumentation forporchlightcan be found on Read the Docs here:https://porchlight.readthedocs.io/en/latest/Other infoYou can find slides from presentations about porchlight within thedocsfolder, underdocs/slides.
Package: por.dashboard
for more details visit:http://getpenelope.github.com/1.7.16 (2013-07-15)include contract workflow_state in listing [amleczko]filter only project related contracts in TE [amleczko]fix wizard requirements [amleczko]1.7.15 (2013-06-27)fix contract <-> CR relation [amleczko]1.7.14 (2013-06-27)Updat tekken [amleczko]1.7.13 (2013-06-26)Update sidebar [amleczko]1.7.12 (2013-06-26)New contract integration [amleczko]1.7.11 (2013-06-04)updates for sentry [amleczko]1.7.10 (2013-05-21)make sure smartadd treats unicode correctly [amleczko]1.7.9 (2013-05-20)update security [amleczko]1.7.8 (2013-05-16)add ‘search only this trac’ feature [amleczko]1.7.7 (2013-05-09)search improvements [amleczko]fix backlog math [amleczko]1.7.6 (2013-05-08)search improvements [amleczko]1.7.5 (2013-05-07)openid fixes [amleczko]1.7.4 (2013-05-07)search improvements [amleczko]fix fastticketing notification [amleczko]1.7.3 (2013-04-30)search improvements [amleczko]developer can manage svn [amleczko]1.7.2 (2013-04-24)add changeset support in fulltext search [amleczko]1.7.1 (2013-04-23)search enhacements [amleczko]1.7 (2013-04-23)integration with solr [amleczko]1.6.5 (2013-04-23)fix problem with wizard ticket creation [amleczko]add project manager to fastticketing form [amleczko]fix notifications from fastticketing [amleczko]add explicit username in welcome email [amleczko]1.6.4 (2013-04-16)mandrill integration [amleczko]1.6.3 (2013-04-04)performance improvements [amleczko]1.6.2 (2013-04-02)add percentage column to backlog [amleczko]added fastticketing form to add multiple tickets at the same time [massimoazzolini]PM tickets created by wizard are automatically sensitive [amleczko]update the datatables pagination [amleczko]add SVN authz manage screen [amleczko]add project_id validator to wizard form [amleczko]1.6.1 (2013-03-26)move karma to por.karma package [amleczko]1.6.0 (2013-02-18)change cache to filetype [amleczko]add 4 QA date [amleczko]wizard added [massimoazzolini]1.5.5 (2013-02-11)add customization for project quality date widgets [amleczko]1.5.4 (2013-02-04)refactor non-invoiced tickets validation [amleczko]1.5.3 (2013-01-30)move to github [amleczko]added buttons to switch between reports keeping the same parameters [massimoazzolini]tickets of invoiced customerrequest cannot be charged of hours [massimoazzolini]add karma integrations [amleczko]fix handling view permission in relation widget [amleczko]