Saravanan666/pypi-org huggingface dataset:
Package: quick-image
Quick-Image: A simple image processing toolkit.Installationpip install quick-imageExamplesBasic Usagefromquick_imageimport*# quick_download_image(# pic_url='https://pixnio.com/free-images/2022/07/21/2022-07-21-08-38-18-1350x900.jpg',# save_path='flower.jpg')# quick_show_image("flower.jpg")# quick_show_image_by_grayscale("flower.jpg")# quick_show_image_by_grayscale2("flower.jpg")# quick_show_image_gray("flower.jpg")# quick_convert_12bit_gray("flower.jpg","flower_12bit.jpg")# quick_show_canny("flower.jpg")# quick_replace_image_color("flower.jpg",show=True)# quick_save_edges("flower.jpg","flower_edges.jpg",t=50)# quick_filter_by_dist("flower.jpg",max_dist=1000)'''list_points,list_colors=quick_pick_image_color("flower.jpg","points.csv" ,"colors.csv")print(list_points)print(list_colors)'''# quick_remove_pix_color("flower.jpg",target_color= [203,152,125],save_path='flower_removed_color.jpg')quick_remove_pix_color_by_range("flower.jpg",lower_color=np.array([100,150,0]),upper_color=np.array([140,255,255]),show=True)Remove noisefromquick_imageimport*fromquick_image.quick_image_similarity_measuresimport*quick_remove_noise1(image_path="flower.jpg",save_path="test4/output1.jpg")# quick_remove_noise2(image_path="flower.jpg",save_path="test4/output2.jpg",min_size=5)score_ssim=ssim('flower.jpg','test4/output1.jpg')score_dvsim=dvsim('flower.jpg','test4/output1.jpg')print(score_ssim)print(score_dvsim)Estimate color similarityfromquick_imageimport*fromskimageimportio'''find image color similarity'''# Example 1:img_rgb=io.imread('flower.jpg')green=[203,152,125]s=get_pct_color(img_rgb,green,10)print("s=",s)# Example 2:base=[35,103,239]test_color=[153,0,0]test_color1=[0,128,255]print(quick_color_similarity(base,test_color))print(quick_color_similarity(base,test_color1))Edge detectionfromquick_image.quick_image_processingimport*importtimetime_cost={}if__name__=="__main__":image_path="flower.jpg"# coords = load_polygon_file(f'datasets/areas/{gender}/{body_part}_polygon_area.pickle')file_name="flower.jpg"start=time.time()# Using Canny algorithm (86)detect_edges(img_path=image_path,save_path='test3_output/'+file_name)time1=time.time()# Using Canny algorithm with polygonsdetect_edges_with_polygon(img_path=image_path,save_path='test3_output/'+file_name)time2=time.time()# Using single-color isolate algorithmisolate_image(image_path=image_path,save_path='test3_output/'+file_name)time3=time.time()# Using multi-color isolate algorithmisolate_image2(image_path=image_path,save_main_color='test3_output/'+file_name,save_path='test3_output/'+file_name)time4=time.time()time_cost["canny"]=time1-starttime_cost["canny_polygon"]=time2-time1time_cost["isolate1"]=time3-time2time_cost["isolate2"]=time4-time3print("Method\tTime cost")forkintime_cost:print(f"{k}\t{round(time_cost[k],4)}")LicenseThequick-imagetoolkit is provided byDonghua Chenwith MIT License.
Package: quickimport
The module quickimport provides an improved importer for python. If
you ever started a Python application from a lame file server (like
a CIFS server) you know the problem of long startup times. The quickimport
importer uses the pep 302 import hooks to reduce the number of
failing stat system calls for each loaded module.For Python 2.7. May work with earlier versions too.Git repository: git://github.com/akruis/quickimport.git
Package: quickindex
quickindexA simple way to re-index json data in pythonExample UsageInputfrom quickindex import TreeIndex
data_list = [
    {
        "first_name": "Davina",
        "last_name": "Emmy",
        "age": 25
    },
    {
        "first_name": "Kondwani",
        "last_name": "Busch",
        "age": 25
    },
    {
        "first_name": "Betty",
        "last_name": "Shannon",
        "age": 32
    },
    {
        "first_name": "Claude",
        "last_name": "Shannon",
        "age": 38
    }
]
age_index = TreeIndex(lambda x: (x["age"], x["last_name"]), lambda x: x["first_name"])
age_index.add_list(data_list)
print(age_index.as_dict())Output{
    25: {
        'Emmy': ['Davina'], 
        'Busch': ['Kondwani']
    }, 
    32: {
        'Shannon': ['Betty']
    }, 
    38: {
        'Shannon': ['Claude']
    }
}Inputfrom quickindex import FlatIndex
data_list = [
    {
        "first_name": "Davina",
        "last_name": "Emmy",
        "age": 25
    },
    {
        "first_name": "Kondwani",
        "last_name": "Busch",
        "age": 25
    },
    {
        "first_name": "Betty",
        "last_name": "Shannon",
        "age": 32
    },
    {
        "first_name": "Claude",
        "last_name": "Shannon",
        "age": 38
    }
]
age_index = FlatIndex(lambda x: (x["age"], x["last_name"]), lambda x: x["first_name"])
age_index.add_list(data_list)
print(age_index.as_dict())Output{
    (25, 'Emmy'): ['Davina'], 
    (25, 'Busch'): ['Kondwani'], 
    (32, 'Shannon'): ['Betty'], 
    (38, 'Shannon'): ['Claude']
}
Package: quickinfo
QuickInfoThis is the library that you've all been searching for, it's built for developers and allows for a variety of web scraping tasks like accessing featured snippets, summaries and wikipedia articles of google webpages. It's built on the web scraping module, selenium.How to useUsing this module is very easy. Import it by saying -import quickinfoto import the class directly -from quickinfo import QuickScrapeThe first step is to create an instance of the class -p = quickinfo.QuickScrape()
# OR
p = QuickScrape()QuickScrape takes a parameter and that is the path of your chromedriver.exe file, by default, the path set is "C:\Program Files (x86)\chromedriver.exe". Please change this attribute if your chromedriver file is in a different path.The next step is to run the process method. It takes an attribute and that is headless. By default, headless is set to True. If set to boolean True, the process of opening the webpage will take place in the background. If set to boolean False, then you can see the process take place.p.process() # Takes arguement True or FalseRemember to run this process method before you use any webscraping functions.
This module has three basic methods, they are -wiki_article = p.wiki_article(query)
summary_para = p.summary_para(query)
featured_snippet = p.featured_snippet(query)

print(wiki_article)
print(summary_para)
print(featured_snippet)Please note that sometimes a summary_para or a wiki_article or a featured_snippet may not be available, hence it will return None.
In the end of your program it is very important to say p.end(). This closes the driver and ends the instance.p.end()Example codefrom quickinfo import QuickScrape
p = QuickScrape() # creates instance
p.process() # runs process in the background

query = "programming"

wiki_article = p.wiki_article(query) # gets wiki article for programming
summary_para = p.summary_para(query) # gets summary para for programming
featured_snippet = p.featured_snippet(query) # gets featured snippet for programming

print(wiki_article)
print(summary_para)
print(featured_snippet)

p.end()OutputDescription
Computer programming is the process of designing and building an executable computer program to accomplish a specific computing result or to perform a specific task. Wikipedia
Programming is the process of creating a set of instructions that tell a computer how to perform a task. Programming can be done using a variety of computer programming languages, such as JavaScript, Python, and C++.
Featured snippet from the web
Programming is the process of creating a set of instructions that tell a computer how to perform a task. Programming can be done using a variety of computer programming languages, such as JavaScript, Python, and C++.

What is Programming? (video) | Khan Academy
https://www.khanacademy.org › ... › Intro to programmingBuilt byDarkSkyProgrammers -The programmers of this team are Arya Prabhu and Ananthram Vijayaraj.Team logo
Package: quickinit
quickinitquickinit is a command line tool to quickly generate project structures for different programming languages and frameworks.FeaturesGenerate project structure for:PythonGolangVanilla Web (HTML, CSS, JS)NextJSRustOpen generated project in VSCodeUsagepip install quickinitRun the script and answer the prompts:Choose the programming language/framework stackEnter a project nameThe tool will generate the basic project structure for you.After generation, the project will be opened in VSCode automatically (if available on your system).Adding New TemplatesTo add additional templates:Add a template folder undertemplates/Updatecreate_[language]_project_structure()to copy or generate the new templateUpdate the main prompt to include the new optionUpdate the main match statement to call the new project structure generation functionOr you can open an issue on the repo.To DoAdd testingImprove error handlingAdd option to git init generated projectExpand available templatesLicenseThis project is open source and available under theMIT License.
Package: quickjson
Quick JsonThis Package will help you deal with json files more quickly and efficiently.How to Install it?On Windows:pip install quickjsonOn Linux:sudo pip3 install quickjsonHow to Use it?Initializing The Packagefrom quickjson.quickjson import QuickJson

jsonhelper = QuickJson('filename.json') # Provide the Name of the Json File while InitializingThis will initialize QuickJson Class to jsonhelper variable and now you can use it's all functions using the variable.Reading Data From Json Filesprint(jsonhelper.read_json_file())This will print the contents of json file in the console.Writing Data to Json FIlesdata = {"elite": "john"} # Sample Dictionary

jsohelper.write_json_file(data) # Parsing the dictionaryThis will write the dictionary parsed in the json file.Inserting Element to a List present inside json fileIf you want to insert an item to a list present inside json file then use this codejsonhelper.write_list_json_file('listname', 'element')This will insert the element into the specific listFor More Information, VisitDocumentation.
Package: quickkeys
quickkeysThe quickkeys package provides a simple and versatile tool for generating secure passwords and one-time passwords (OTPs). With this package, you can easily generate passwords and OTPs of varying lengths and complexities to enhance the security of your applications.FeaturesPassword Generation:Generate passwords with a customizable number of letters, symbols, and numbers.Choose from predefined functions to generate passwords of specific lengths:four_digit_password(): Generates a 4-digit password with 2 letters, 1 symbol, and 1 number.six_digit_password(): Generates a 6-digit password with 4 letters, 1 symbol, and 1 number.eight_digit_password(): Generates an 8-digit password with 4 letters, 2 symbols, and 2 numbers.strong_password(): Generates a strong password with a random length between 8 and 10 characters, including a mix of letters, symbols, and numbers.OTP Generation:Generate one-time passwords (OTPs) with a customizable number of digits.Choose from predefined functions to generate OTPs of specific lengths:four_digit_otp(): Generates a 4-digit OTP.six_digit_otp(): Generates a 6-digit OTP.Usage# Example usage for generating passwords
import quickkeys

# Generate a strong password
password = quickkeys.strong_password()
print("Generated Strong Password:", password)

# Generate a 6-digit OTP
otp = quickkeys.six_digit_otp()
print("Generated OTP:", otp)Installationpip install quickkeys
Package: quicklab
quicklabStart Jupyter Lab sessions on the cloudFeaturesVM creationJupyter on DockerSSL certificates (ZeroSSL & Caddy)Volumes management (Creation, Resizing, deletion, formating, etc)DNS A record creation (Google, Cloudflare)Automatic shutdown by inactivity (by Jupyter)GPU Provisioning (nvidia-smi installation, docker configuration, etc)Linux image creation (Packer)Entities types for autocompletionLogging into cloud provider log serviceOnly Google Cloud Platform supported for now, but relatively easy to add new
cloud providers.UsageFor users:QuickstartFor administrators:DeployImagesVolumesPermissionsAcknowledgmentsOriginal work fromLabMachineLicenseWork licensed under MPL 2.0. SeeLICENSEfor more.
Package: quicklearning
quicklearningInstalationTo install run the following:pipinstallquicklearningautomodel usageFirst importfromquicklearning.classification.imageimportquickthen run something likemodel=quick.fit(10,['cat','dog'],verbose=True)This will create a dataset of images from the image search results fromDuckDuckGo, then create a new model based on a pretained model and lastly it will do the actual training of the model.
Package: quicklink
quicklinkQuicklink is a simple command line tool to save a web URL as a file on your system. This file is a.urlfile that opens in the default browser when double-clicked.Installation$pipinstallquicklinkUsage$cd[directory]$quicklink[filename][url]Example$quicklinkquicklink_githubhttps://github.com/CarlJKurtz/quicklinkThis will create a file calledquicklink_github.urlin the current directory that opens this GitHub page in the default browser.AboutSupportQuicklink is entirely free of charge for both commercial and private use! But code doesn't write itself — so please consider sharing this project, or even support the project by sponsoring it on GitHub if you got some use out of it! 🤘🏼CopyrightCopyright (c) 2023, Carl J. Kurtz. (SeeLICENSEfor more information)
Package: quicklinks
QuicklinksQuicklinks is a short command-line script that allows you to quickly switch to a a pre-configured link.On OSx, this would be the same thing as doing the following:ql google->open https://google.comRequirementsThe only requirement for this application is Python 3Usage and InstallationRun the following script:pipinstallquicklinksCreate a.quicklinksfile in your user root:touch~/.quicklinksPopulate the.quicklinksfile like the following:{your-link-key}:{your-link-value}Example:google:https://google.com
wiki:https://wikipedia.comRun the programqlwikiAnd you will be redirected to your browser of choice, opening your linkExperimental new features!Try out the browser extensions with Quicklinks server -DocumentationContributingFork this code and open a PR, all code is welcome as long as it follows the code of conduct!To run the application locally, navigate tocli/and run the commandpython ./quicklinks.pyCreditsQuicklinks was inspired by my use ofalias ql="open"as well as the very coolGoLinks, check them out if you want the same thing as quicklinks but in your browser itself!
Package: quicklite
python-dbLight weight database for python, with a simple API and a simple file format.
it is not meant to be a full featured database, but rather a simple way to  store data in a file.
it's written in python, and is compatible with python 3.6 and above.FeaturesSimple APIColorful outputEasy to useCLI interfaceOpen sourceDocumentationThe documentation is available atnot yet availableInstallationYou can install python-db using pip:pip install python-dbUsageTo use python-db, you need to import it:from python_db import Database
Package: quickload
That’s my tradewatch package
import tradewatch as tw
tw.get_atts(“BRB lalka”)
#{“search_request”: “Barbie Lalka”, “Stan”: “Nowy”, “Faktura”: “Wystawiam faktur\u0119 VAT”, “Seria”: “Made To Move”, “Marka”: “Barbie”, “Bohater”: “Barbie”, “Wiek dziecka”: “3 lata +”, “P\u0142e\u0107”: “Ch\u0142opcy, Dziewczynki”, “Materia\u0142”: “Plastik, Tkanina”, “query”: “Barbie Lalka”}
Package: quicklock
A simple Python resource lock to ensure only one process at a time is
operating with a particular resource.Singleton UsageSingleton creates a file containing process information to ensure that
the process that created the lock is still alive. The default location
is in the.lockdirectory in the current working directory. If this
directory does not exist,singletonwill create it automatically.Simple usage:fromquicklockimportsingletonsingleton('my-process')# This will ensure that only one of these is running at once# The lock is released when the process that created the lock# exits (successfully or quits unexpectedly)# Intensive processing hereSpecifying the lock directory:fromquicklockimportsingletonsingleton('my-process',dirname='/var/lock')# Now all lock files will be written to# /var/lock instead# Intensive processing hereContributingPlease feel free to create issues and submit pull requests. I want to
keep this library as a simple collection of useful locking-related
utilities.LicenseThe license is MIT, see the attachedLICENSEfile for more
information.
Package: quick-logger
quick_loggerA simple interface for the standard Python logging library.AboutThis is a very simple package designed to setup a logger in one line and allow logging to it with ease.NoteI wrote this package when I was still in school. It's really no easier than just usinglogger.<level>.However, theinit_loggermethod may still be of some use. I've updated it such thatmlogcan now
be dispatched with level:from quick_logger import mlog
# Previously any level beyond info:
mlog("Here's a debug message.", "debug")
# Now, can use the same idiom as `logger.<level>`:
mlog.debug("Here's a debug message.")Note that the original syntax is still backward-compatible, on the offchace anything out there uses this.Ultimately, this package isverysimple, you probably just want to use the base Python logging library.InstallationUse pip to install.python -m pip install quick_loggerUsageUseinit_loggerto create a log file, andmlogto add a log entry.Quick Startinit_loggerfromquick_loggerimportinit_logger,mloginit_logger('/path/to/file.log')By default, the log file will be set tologging.INFO.mlog# By default logs are set to "info"mlog("Logged something!")# Invoke by levelmlog.error("Something went wrong!")It's that easy!"Advanced" SetupYou can set afewoptions when you useinit_logger.level: Defaults toinfo, acceptscritical,error,warning,info,debug,notset.fmt: Defaults to'%(asctime)s:: %(levelname)s:: %(message)s'. Seelogging.Formatterfor details on how to set aFormatterstring.datefmt: Defaults to'%Y-%m-%d %H:%M:%S'. Seestrftime reference.fromquick_loggerimportinit_logger# Log file set to debuginit_logger('/path/to/file.log',level='debug')...# Log file with fmt that includes module.fmt='%(asctime)s::%(module)s::%(message)s'# or log file with fmt that just has messages.fmt='%(message)s'init_logger('/path/to/file.log',fmt=fmt)...# Omit date, just include the time.init_logger('/path/to/file.log',datefmt='%H:%M:%S')Issues/SuggestionsPlease make any suggestions or issues on the Github page. Note that this package is meant to be simple, so suggestions should keep that in mind.LicenseThis project is licensed under the MIT License. Please see the LICENSE.md file for details.
Package: quicklogging
My logging helper libraryQuicklogging is intended for 2 purposes:shrink the boilerplate I need before I can log something by a few bits,without changing the body of source code, change quick and dirtyprint()’ing scripts into
enterprise class software that logs.What quicklogging doesQuicklogging provides you with handy loggers named after the current module.importquickloggingmy_logger=quicklogging.get_logger()This allows for silencing or raising the logging level for a specific part or a
whole hierarchy of (sub-)packages (ie. folders, in Python’s slang).Quicklogging can handle legacy calls toprint(). This means that the working code can stay
as-is and still get loggedimportquicklogging# Catches prints in the current modulequicklogging.catch_prints()# Catches prints everywhere in the Python processquicklogging.catch_prints(catch_all=True)# -> does not print to stdout anymore, but is logged.print("hello world")What quicklogging does NOTQuicklogging does not configure the logging formatting or output as this would
not save any line; here is a basic example for general purpose code:Quick
survival guide with the logging module.Quicklogging qualityQuicklogging is covered by a test suite and has been working for years for me, but I wouldn’t promise there is no bug.I have tried documenting the code but would welcome proofreading; the API may change after discussion.
Package: quicklooper
Quick LooperA simple polling style loop, run in a separate thread.InstallationInstall from PyPI:pip install quicklooperHow to useMake a class that inherits from the Looper class, and override themainmethod with code to be run each loop.  The loop period may be set by assigning a float value to the class variable_intervalor by passing theintervalkeyword arg to theLooper.__init__method.Override theon_start_upandon_shut_downmethods to add any code to be run before the first loop, and after the final loop whenstopis called.Example of a basic app which polls the/printfilesdirectory for new files to print:from quicklooper import Looper


class PrintMonitor(Looper):
    _interval = 10.0

    def __init__(self, directory: str):
        self.directory: str = directory
        self._printed_files: Set[str] = set()

    def on_start_up():
        self._printed_files = {file for file in os.listdir(self.directory)}

    def main():
        for file in os.listdir(self.directory):
            send_to_printer(file)  # implementation not shown
            self._printed_files.add(file)


if __name__ == '__main__':
    print_monitor = PrintMonitor('/printfiles')
    print_monitor.start()Whenprint_montitor.start()is called, the app runson_start_upmethod, and then callsmainevery
ten seconds to scan for new files to print.Callstopto exit the loop immediately.
Package: quicklst
QuicklstQuicklst ist a python library for reading .lst files produced by FAST ComTec's mpa system. It uses numba to accelerate
the reading of the file and supports block or chunk wise loading of large files.Limitations: Both MPA3 and MPA4A files are supported, but they need to be in binary form not in ASCII encoding, the real
time clock is not implemented either.Basic usage is demonstrated inexamples/Quickstart.ipynb.
Package: quickly
Homepage•Development•Download•Documentation•LicenseThequicklypython package is able to create and manipulate LilyPond music
documents. LilyPond documents often use the.lyextension, hence the name.It is currently in an early development stage, but slated to become the
successor of thepython-lypackage. Like python-ly, it provides tools to
manipulateLilyPondmusic documents, but instead of using the lexer in
python-ly, which is very difficult to maintain, it uses the newparcepackage for parsingLilyPondfiles.ly.domandly.musicare superseded byquickly.domwhich provides a
way to both build a LilyPond source file from scratch (likely.dom) and
manipulate an existing document (likely.music). Most of the functionality
that in python-ly is implemented at the token level, like transposing and
rhythm manipulations, now works on the musical representation provided byquickly.dom, which looks a lot likely.music.This module is written and maintained by Wilbert Berendsen, and will, as it
grows, also contain (adapted) code from python-ly that was contributed by
others. Python 3.6 and higher is supported. Besides Python itself the most
recent version of theparcemodule is needed. Testing is done by runningpytest-3in the root directory.The documentation reflects which parts are already working :-) Enjoy!
Package: quickmacapp
NoteThis is extremely rough and poorly documented at this point.  While its
public API is quite small to avoidunduechurn, it may change quite
rapidly and if you want to use this to ship an app you probably will want
to contribute to it as well.Make it easier to write small applications for macOS in Python, using Twisted.To get a very basic status menu API:fromquickmacappimportmainpoint,Status,answer,quitfromtwisted.internet.deferimportDeferred@mainpoint()defapp(reactor):s=Status("☀️ 💣")s.menu([("Do Something",lambda:Deferred.fromCoroutine(answer("something"))),("Quit",quit)])app.runMain()Packaging this into a working app bundle is currently left as an exercise for
the reader.This was originally extracted fromhttps://github.com/glyph/Pomodouroboros/