Saravanan666/pypi-org huggingface dataset:
Package: getpaid.SalesforceOrderRecorder
OverviewAllows for the storage of getpaid orders to salesforce.  Must be configured in
the admin console before it will work.  User must specify the content type they
are interested in and give instructions on how to map it to salesforce.  If that
content type appears in a charged order the entire order is saved to salesforce
(even if there are other content types).DependenciesDepends upon the beatbox library >= 0.9.1.1, which is a Python wrapper to the
Salesforce.com API.  You must have a Salesforce.com account that provides API
access.To download and install beatbox, please visit:http://code.google.com/p/salesforce-beatbox/SalesforceBaseConnector >= 1.0a3. Seehttp://plone.org/products/salesforcebaseconnectorCreditsRob LaRubbioThe Plone & Salesforce crew in Seattle and Portland for their work on
Salesforce PFG Adapter:Jon Baldivieso <jonb –AT– groundwire –DOT– org>Andrew Burkhalter <andrewburkhalter –AT– gmail –DOT– com>David Glick <davidglick –AT– groundwire –DOT– org>Jesse Snyder and NPower Seattle for the foundation of code that has become
Salesforce Base Connector.Simon Fell for providing the beatbox Python wrapper to the Salesforce.com APISalesforce.com Foundation and Enfold Systems for their gift and work on
beatbox (see:http://gokubi.com/archives/onenorthwest-gets-grant-from-salesforcecom-to-integrate-with-plone)Changelog0.5 (2010-01-26)Make sure the finance workflow transition handler only tries to execute for
sites with this product installed.
[davisagli]Fix the user_payment_info_trans_id mapping, for real this time.
[davisagli]Removed max beatbox version restriction.
[davisagli]0.4 (unreleased)Grab the processor id from the correct variable0.3 (2009-08-03)Fix shipping cost field nameing errorAlso fix an import0.2 (2009-08-03)Do not send mapped None values to salesforceExpand exception handling since beatbox raises strings.0.1 (2009-07-22)Initial import and creation derived from getpaid.SalesforcePloneFormGenAdapter
Package: getpaid.verkkomaksut
IntroductionVerkkomaksut provides payment processor which covers most of Finnish digital payments.
This package implements Verkkomaksut payment processor toProducts.PloneGetPaidpackage.CautionCurrent version supports and only tested withgetpaid.paymentprocessorspackage installed. It might work withoutgetpaid.paymentprocessors.This package is only for “Type 4” payment and “NOTIFY_ADDRESS” is not implemented.Changelog0.1.1 (2010-01-22)Added authentication for returned code from verkkomaksut.0.1.0 (2009-07-31)Updated for getpaid.paymentprocessors package.0.0.7 (2009-05-16)Initial releaseInstallationIf you are using zc.buildout and the plone.recipe.zope2instance
recipe to manage your project, just do this:Addgetpaid.verkkomaksutto the list of eggs to install, e.g.:[buildout]…eggs =…getpaid.verkkomaksutTell the plone.recipe.zope2instance recipe to install a ZCML slug:[instance]…zcml =…getpaid.verkkomaksutgetpaid.verkkomaksut-overrides # Comment out this if getpaid.paymentprocessors is installed.Re-run buildout, e.g. with:$ ./bin/buildout
Package: getpaid.warehouse
This package contains the getpaid warehouse.CHANGES0.3 (2009-01-28)fix: this fixes issue #211 [bruno.ripa]warehouse functional testing finished [walteralini]added functional test to warehouse [walteralini]Made the viewlet for creating shipments update correctly when adding a
shipment, this means remove the object from the list [horacio.duran]Fixed bug that prevents the handler from changing the on hand quantity
since it checks only if the event.destination was not checking among
shippable workflow states but only among buyable ones [horacio.duran][svn refactor] moving getpaid.warehouse up one level [lucielejard]Detailed DocumentationDownload
Package: getpalette
GetPaletteFind the dominant colors in any imageSetupgit clone https://github.com/ssiyad/getpalette
cd getpalette
python3 -m venv env
source venv/bin/activate
pip install -e .orpip install getpaletteUsagegetpalette [-h] [-c COUNT] [-s] image

positional arguments:
  image

optional arguments:
  -c COUNT, --count COUNT
                        Number of colors to find
  -s, --show            Show/Hide hexadecimal color values
  -h, --help            show this help message and exitOutputThe tool will output two files into the main folder your image was initially in. The first file will be named IMAGE_palette and will contain just the color palette. The second file will be called IMAGE_with_palette and this will contain the original image with the palette below it.Examples:Output PaletteImage with PaletteContributionReport issuesOpen pull request with improvementsSpread the word
Package: getpartofimg
Extracts a part of the image specified by width and height from the given image file path using OpenCV.pip install getpartofimgTested against Windows 10 / Python 3.10 / AnacondaParameters:image : Any
The file path of the image from which a part will be extracted.width : int
The desired width of the extracted part.height : int
The desired height of the extracted part.allow_resize : bool, optional (default=True)
If True, allows resizing of the input image when the specified width or height is greater
than the original image's dimensions.Returns:numpy.ndarray
The extracted part of the image as a NumPy array.Raises:ValueError
If the 'allow_resize' parameter is set to False and the specified width or height is greater than
the original image's dimensions, a ValueError is raised with a message indicating that the image is too small.Notes:The function uses the 'cv2.imread_plus' function (https://github.com/hansalemaos/a_cv_imwrite_imread_plus)
to read the image from the given file path. It then calculates
the possible ranges for extracting the desired part based on the image's dimensions and the specified width
and height. If the 'allow_resize' parameter is True, the function resizes the image using 'cv2.easy_resize_image'
(https://github.com/hansalemaos/a_cv2_easy_resize)
with the 'cv2.INTER_AREA' interpolation method to fit the desired part. Otherwise, it raises a ValueError.Random starting coordinates within the allowable range are generated to extract the part of the image specified
by the given width and height.# Example usage:importcv2fromgetpartofimgimportget_part_of_imageim=get_part_of_image(image=r"https://raw.githubusercontent.com/hansalemaos/screenshots/main/pic5.png",width=600,height=500,allow_resize=True)cv2.imwrite('c:\\testimage.png',im)
Package: getpass-asterisk
getpass_asteriskAn alternative implementation for getpass that echoes masked password (such as asterisks).Security Note:warning: This module has been modified to add getpass_asterisk, which can echo asterisks in place of password.Echoing of masked password leaks the length of the password. Use this utility only in a scenario where passwords are always of fixed length. This utility was created to receive secret tokens as input which are always of same size. Echoing the asterisks helped improve user experience. Use at your own risk. Only use for taking constant length secret inputs.Installationpip can be used to install getpass_asterisk.pipinstallgetpass_asteriskUsageUsage is identical to getpass.# getpass_asterisk(prompt[, stream]) - Prompt for a password, with masked output.fromgetpass_asterisk.getpass_asteriskimportgetpass_asteriskpassword=getpass_asterisk("Enter password: ")FeedbackFor feedback, contact: Muhammad Akbar (akbarATsecursive.com).
Package: get-passphrase
get-passphraseExtensible passphrase resolver, supporting prompting as well as passphrases stored in environment variables, files or keyringsSome examples of smart passphrase descriptors:pass:<passphrase>to directly provide a passphrase inlineenv:<env-var-name>to get the passphrase from an environment variable. The application may configure a custom environment dictionary, oros.osenviron()is usedfile:<file-name>to get the passphrase from the file at location pathname. The application may configure a base directory for relative paths, or the current working directory is used.fd:<file-descriptor-number>read the passphrase from the provided file descriptor numberstdin:to read from standard inputprompt:to prompt the user with "Password: " and read from console with typed characters hidden (usesgetpass)prompt:<prompt-string>to prompt the user with a custom prompt string and read from console with typed characters hidden (usesgetpass)keyring:<service-name>,<key-name>to load the passphrase fromkeyring. The application may configure a prefix that will be prepended to either the service-name or the key-name or both, to define a unique namespace for the application.keyring:<key-name>to load the passphrase fromkeyring, using a default service name configured by the application. The application may configure a prefix that will be prepended to key-name, to define a unique namespace for the application.none:To provide aNonevalue for the passphrase (useful for chaining defaults)empty:To provide an empty passphraseCommand toolA command tool,get-passphrase, is provided that will expand a smart passphrase descriptor provided as an argument.Usage:usage: get-passphrase [-h] [--version] [passphrase [passphrase ...]]

Resolve a passphrase in a number of ways.

positional arguments:
  passphrase  A list of smart passphrase descriptors to be checked in order. The first one that produces a passphrase is used.

optional arguments:
  -h, --help  show this help message and exit
  --version   Display versionLibraryUsagefromget_passphraseimportresolve_passphrasedescriptor=input("Enter smart passphrase descriptor:")print("Passphrase is: ",resolve_passphrase(descriptor).get_cleartext())
Package: getpathfromreg
Get path from regeditpip install getpathfromregA collection of regedit requests (more soon)fromgetpathfromregimportget_tesseract_exe,get_bluestacks_user_folder,get_bluestacks_config_fileprint(get_bluestacks_user_folder())print(get_bluestacks_config_file())print(get_tesseract_exe())print(get_hd_player_bluestacks())C:\ProgramData\BlueStacks_nxtC:\ProgramData\BlueStacks_nxt\bluestacks.confC:\ProgramFiles\Tesseract-OCR\tesseract.exe...
Package: getpaths
getpathHelps with pathing in python scripts. Inspired by pathlib.IMPORTINGfrom getpaths import getpathUSING CURRENT FILE PATHcurrent_dir = getpath() # current file's pathUSER-SPECIFIED PATHcustom_dir = getpath('a','b',custom=True)
print(custom_dir)
# /a/bADD FILEScustom_dir/'example.txt'
# /a/b/example.txt

custom_dir.add('/a/example.txt')
# /a/b/example.txtGO UP THE DIRECTORYcustom_dir = getpath('a','b',custom=True)

custom_dir/'..'
# /a

custom_dir.add('..')
# /a

custom_dir.up(1)
# /aLIST EXISTING FILES AND FOLDERScustom_dir.ls()
# /a/b/example.txt
# throws error if path does not exist
Package: getpdf
getpdfLibrary for getting pdf's from Google search'sInstalation$pip3installgetpdf-UExamples$getpdf'waves gravtational'12resultssizesearch12[1/12][0min:0sec|ETA:0min:1sec]pdf/waves_gravtational/lec005.pdf0.15MBsaved![ping:26.0ms][2/12][0min:3sec|ETA:0min:12sec]pdf/waves_gravtational/ssi94-002.pdf0.52MBsaved![ping:352.3ms][3/12][0min:9sec|ETA:0min:20sec]pdf/waves_gravtational/1710.04635.pdf0.94MBsaved![ping:532.8ms][4/12][0min:10sec|ETA:0min:16sec]pdf/waves_gravtational/cursoGW-ICTP-Sturani1.pdf0.67MBsaved![ping:100.2ms][5/12][0min:12sec|ETA:0min:14sec]pdf/waves_gravtational/rnoti-p684.pdf2.44MBsaved![ping:232.3ms][6/12][0min:14sec|ETA:0min:12sec]pdf/waves_gravtational/pdf.pdf0.00MBsaved![ping:178.2ms][7/12][0min:15sec|ETA:0min:9sec]pdf/waves_gravtational/annurev.nucl.54.070103.181251.pdf1.18MBsaved![ping:113.8ms][8/12][0min:19sec|ETA:0min:8sec]pdf/waves_gravtational/Spanish_SKA_WB_04_gws.pdf0.53MBsaved![ping:396.1ms][9/12][0m:19s|ETA:0m:6s]errorinlinkhttps://pos.if.ufrj.br/wp-content/uploads/2021/06/Dissertacao-Joao-Cavedagne-Lobato-preliminar.pdferror:<class'requests.exceptions.SSLError'>[10/12][0min:28sec|ETA:0min:5sec]pdf/waves_gravtational/Paul-Lasky-Why-gravitational-waves-are-of-supermassive-importance.pdf11.85MBsaved![ping:922.9ms][11/12][0min:55sec|ETA:0min:5sec]pdf/waves_gravtational/ligo_CERN_040714.pdf4.75MBsaved![ping:2653.9ms][12/12][0min:57sec|ETA:0min:0sec]pdf/waves_gravtational/GRavitational_Wave_Energy.pdf0.30MBsaved![ping:228.6ms]$lspdf/waves_gravtational/1710.04635.pdfcursoGW-ICTP-Sturani1.pdflec005.pdfPaul-Lasky-Why-gravitational-waves-are-of-supermassive-importance.pdfrnoti-p684.pdfssi94-002.pdf
annurev.nucl.54.070103.181251.pdfGRavitational_Wave_Energy.pdfligo_CERN_040714.pdfpdf.pdfSpanish_SKA_WB_04_gws.pdf
Package: getphylo
getphylo: GEnbank To PHYLOgenya python package for automated generation of heuristic phylogenetic trees from genbank filesDescriptiongetphylo was designed to automatically build multi-locus phylogenetic trees from GenBank files. The workflow consists of the following steps: i) extract protein coding sequences; ii) screen for suitable markers; iii) align individual marker sequences and create a combined alignment; and iv) produce a tree from the combined alignment. Please see the 'parameters' section below for a full list of parameters.InstallationThe easiest way to installgetphylois using the command:pip install getphyloThis will fetch and install the latest version from:https://pypi.org/project/getphylo/For full installation instructions, please see thegetphylo wiki.Important:getphylo requires DIAMOND, MUSCLE and FastTree2 to be installed to work correctly. These must be installed manually. Further instructions areavailiable on the wiki.Quick-startThis package has been designed to be as easy to run as possible. Simply navigate to a working directory containing .gbk files and input:getphyloThis will run the software with default settings.A full list of options and flags can be viewed with:getphylo -hAfull list of parametersandfurther usage examplesare availiable on the wiki.Example Analysis and DatasetsExample outputs and benchmarking data can be found in thegetphylo benchmarking repository. The example data includes:A phylogeny of bacterial genomes,A phylogeny of a biosynthetic super cluster,A phylogeny of primate genomes,A phylogeny of Eurotiomycete fungi.CitationIf you usegetphylo, please cite:Booth, T. J., Shaw, S., & Weber, T. (2023). getphylo: rapid and automatic generation of multi-locus phylogenetic trees. BioRxiv, 2023.07.26.550493.DOI:https://doi.org/10.1101/2023.07.26.550493Patch NotesVersion  00.1.0beta version initial release0.1.1added support for MUSCLE50.1.2now raises an error if translations are present but emptyerror messages from the extract module are now more informativefixed a fatal issue with --build-all0.2.0now supports iqtree using the --method parameter0.2.1now able to provide custom paths for binary dependenciesparser now has argument groups and is more readablefile exists error message more informative
Package: getpiecharts
This library is used to plot pie charts for all columns at a time having data type “objective”.
we just have to give one parameter which is our “dataframe”
for example
your csv file name is “train.csv”from getpiecharts import piecharts
data=pd.read_csv(“train.csv”)
piecharts(data)we will get all pie chartsChange Log0.0.1 (20/08/2020)First Release
Package: getpodcast
PyPI:https://pypi.org/project/getpodcast/Documentation:https://fholmer.gitlab.io/getpodcastSource code:https://gitlab.com/fholmer/getpodcastLicense: MITSummarySimplify downloading podcasts with getpodcastFeaturesNo database or caching backend. RSS items are instead compared to file name,
file size and file timestampConfiguration and hooks are stored in a single python file, which is also
executableInstallationLinux:$python3-mpipinstall--usergetpodcastWindows:>py -3 -m pip install --user getpodcastUsageCreate a new filemypodcasts.py:#! /usr/bin/env python3importgetpodcastopt=getpodcast.options(date_from='2021-01-01',root_dir='./podcast')podcasts={"SGU":"https://feed.theskepticsguide.org/feed/sgu"}getpodcast.getpodcast(podcasts,opt)Download podcasts:python3mypodcasts.py--runMore help:python3mypodcasts.py--helpSetup cronjob to download once a day:$crontab-e019***/usr/bin/python3/home/myuser/mypodcasts.py--quiet--onlynew--run
Package: get-pop
get-pop.. image::https://badge.fury.io/py/get-pop.svg:target:https://badge.fury.io/py/get-pop.. image::https://travis-ci.org/SimmonsRitchie/get-pop.svg?branch=master:target:https://travis-ci.org/SimmonsRitchie/get-pop.. image::https://readthedocs.org/projects/get-pop/badge/?version=latest:target:https://get-pop.readthedocs.io/en/latest/?badge=latest:alt: Documentation StatusA command line utility that generates CSVs of county-level population data for specified US states.Data is based on 2019 U.S. census data.The full documentation is hosted atRead the Docs <https://get-pop.readthedocs.io/en/latest/index.html>_Install::pip install get-popBasic usageCommand lineIn the command line, enter the getpop command followed by the two letter postal code of one or more states.Eg.:::getpop nyInitializing getpop
Selected states: ['ny']
Processing: New York
getpop completeOr:::getpop ny nj txInitializing getpop
Selected states: ['ny', 'nj', 'tx']
Processing: New Jersey
Processing: New York
Processing: Texas
getpop completeTo get CSVs for all states, enter:::getpop allCSVs will be saved in the current working directory. See 'advanced usage' to specify a different location to save CSVs.ProgrammaticIf you prefer, you can also import and call get-pop from within your python app:::from get_pop.get_pop import get_pop

states = ["ny","nj","tx","pa"]
get_pop(states)Advanced usageCommand lineGetpop takes one or more two-letter state abbreviations as positional arguments in order to determine which state
CSVs will be generated. Getpop's CLI also takes certain optional arguments that modify its actions.--save-dir, --dirTEXT. Path of directory where CSV files will be saved. Defaults to saving them in /data in the current
working directory. If the directory you specify doesn't exist, getpop will create it.-q, --quietFLAG. Disables stdout during program run--helpReturns a list of getpop's CLI options.Here's an example that stores the CSVs in a directory in your current working directory called
'your_custom_directory' and clears any existing files in it if they exist.::getpop ny ca tx --save-dir ./your_custom_directoryLicenseMIT <https://choosealicense.com/licenses/mit/>_
Package: getpopularity-angelica-12
Get that PopUlarityIntroductionThis is a small program created by a student of the Libera UniversitÃƒÂ   di Bolzano.What does the program do?The program, as first step, provides some information about a given word, these are the following: definition, right pronunciation (IPA notation) first in the British accent and then in the American one (also the audio file is avalaible if required), thus the user has the opportunity to do a comparison between the two varieties. As last step the popularity of the given word is provided, i.e. you can check where a word is most commonly used and to which country's lexicon it belongs to.How does the program work?First of all the user has to give an audio as input, i.e. he has to say the desired word using his computer's mic.Then the program will recognise the given word and this will be shown first as an audio and then also in the written form.If the recognised word is exact the user can go on with the program, otherwise he will be asked to repeat the wordA definition will be provided and if the first one is not the one the user was looking for, other definitions can be showed.Later the right pronunciation in the British accent will appear and the user can opt for the audio or not.Same step for the American pronunciation.As final step the user is asked to choose between a pie or a bar chart for the results to be shown, and in the end the popularity of the word will be given.Please note: only english words are allowed; an error can occur if the given word doesn't exist in the dictionary; another error occurs when all the definitions are provided;  only the two British and American varieties are avalaible; other errors can for sure occur, in this case the user is kindly asked to try with another word from the beginning.How does the user can employ the program?Please copy and run separately the two codes below:pip install getpopularity-angelica-12==0.0.4

 import getpopularityFinal notesIt is important to add that the final values in the last part of the program are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location.
A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "tiger" will get twice the score of a giant country where only 40% of the queries are for "tiger".CreditsDirect access to the microphone inside Google Colab notebook:https://ricardodeazambuja.com/deep_learning/2019/03/09/audio_and_video_google_colab/Information about the given word:
Oxford Dictionary APIPopularity of the word:https://pypi.org/project/pytrends/
Package: get-port
get-portGet an available port. Checks first for preferred port in case its available, if not returns random.
Python implementation of theget-portidea by @sindresorhus.Installation.Available via PyPI.pipinstallget-portUsage.Available in terminal:get-port[preferred-port-optional]Usage in code:# Gets the actual port. Send preferred_port to pick if available.fromget_portimportget_portport=get_port(preferred_port)# Check if port is available. Returns tuple: (Boolean, Dict)fromget_portimportport_availableis_available=port_available(your_port)# Find random free port. Returns tuple: (Port, Dict)fromget_portimportfind_free_portport=find_free_port()LicenseMIT.
Package: get-ppbrowser
get-ppbrowserInstantiate a pyppeteer browser object.Instalationpipinstallget-ppbrowser# pip  install get-ppbrowser -U  # to upgradeorpoetryaddget-ppbrowser# poetry add get-ppbrowser@latest  # to upgradeUsagefromget_ppbrowserimportget_ppbrowserbrowser=awaitget_ppbrowser()page=awaitbrowser.newPage()awaitpage.goto("http://www.example.com")PPBROWSER_HEADFUL, PPBROWSER_DEBUG, PPBROWSER_PROXYEnvironment variables can be set with, for example, in WindowssetPPBROWSER_HEADFUL=1or in Linux/iOSexportPPBROWSER_HEADFUL=1or inpythonimportosos.environ["PPBROWSER_HEADFUL"]="1"
Package: get-prime-number
GET PRIME NUMBERPython module that returns a generator of prime numbers.InstructionsInstall the module$ pip install get-prime-numberImport the functionfrom get-prime-number import get_prime_numberCreate the generatorprime_numbers = get_prime_number()Iterate through prime numbersprint(next(prime_numbers))Have fun! If you have any trouble, please, contact me.
Package: getproclist
Retrieves the list of processes using the 'wmic' command and return the data as a pandas DataFramepip install getproclistTested against Windows 10 / Python 3.10 / AnacondaPythonfromgetproclistimportget_proc_listdf=get_proc_list(interval=0)print(df)Retrievethelistofprocessesusingthe'wmic'commandandreturnthedataasapandasDataFrame.Args:interval(int):Theintervalinsecondsatwhichtoretrievetheprocesslist.Defaultsto5.Ithastobestoppedbypressingctrl+cIfintervalislessthanorequalto0,theprocesslistiscapturedonlyonce.Returns:pd.DataFrame:ADataFramecontaininginformationabouttheprocesses.Raises:NoneExample:>>>df=get_proc_list(interval=10)# press ctrl+c>>>print(df.head())NameProcessIdCommandLine...0SystemIdleProcess0None1System4None2smss.exe248\SystemRoot\System32\smss.exe3csrss.exe424\??\C:\WINDOWS\system32\csrss.exe4wininit.exe496\??\C:\WINDOWS\system32\wininit.exe...
Package: get-project-root
py_get_project_rootA simple package for resolving project root in most situations.
I found myself rewriting something to resolve this in various
different project structures & situations, annoyingly, so I wroto
this to save myself time.Let me know if you run into any situations where it doesn't resolve
the project root path correctly.pip install get-project-rootfromget_project_rootimportroot_pathproject_root=root_path(ignore_cwd=False)# >> "C:/Users/person/source/some_project/"ignore_cwd:Ignores the current working directory for deriving the root path.
In the case where the directory of the file this is called from is
the same as the current working directory CWD, it will return
the current working directory if this is set to True.