Saravanan666/pypi-org huggingface dataset:
Package: lord-of-the-clips
🎥✂️🔗 lord-of-the-clips (lotc)Video downloader, trimmer, and merger using the terminal. Supports YouTube, Facebook, Reddit, Twitter, TikTok, Instagram, LinkedIn, 9GAG,etc. Downloads/trims at multiple points. Merges multiple clips.💫 BackgroundAs per thePareto Principle, a video usually has its best parts. Hence, Reels/Shorts/Stories are popular nowadays. Likewise, I frequently download videos from various sites (e.g. YouTube, Facebook, Reddit, etc) using various online video downloaders, then I clip the most interesting/best parts only which are usually posted in social media sites or shared on private/group chats.Got tired of these routines eventually, and I want a tool that given a URL and timestamps/durations will download the video AND auto-clip them at the desired segments in a single command AND it should support multiple sites. This is the missing tool that I wanted. In the simplest case, thislotcCLI app will download the full video.⚡Featuresdownloads a video and auto-trims/clips the specified durationstrims a saved video file and/or clips the specified durationsmerges saved video files, usually for concatenating related clipsprovides smart output file name by defaultaccepts a custom output file nameleverages CLI styling for better experience🦾 Standing on the Shoulders of Giantsyt-dlp: video downloadermoviepy: video trimmer/mergerclick: CLI app creatorrich/rich-click: CLI app styler🔨 Installationpipinstalllord-of-the-clipsThis will install a globallotcshell command which you could run in the terminal.lotcis the acronym forlord-of-the-clips.🔧 Dependenciesffmpegisstrongly recommendedbyyt-dlpto be installed since some websites have split video/audio files:Mac:brew install ffmpegUbuntu:sudo apt install ffmpegOthers⚙️ UsageFor further details/sample usages, run this command:lotc--helpAnd for its subcommands:lotcdownload--help
lotctrim--help
lotcmerge--help🚀 DemoThe GIF below demonstrates the output oflotc --helpcommand and itslotc download --helpsubcommand, and running an example provided in the output:⚠️ Rate LimitsSome sites (e.g. Facebook) imposes scraping rate limits on their pages and could cause issues in your succeeding downloads.
Hence, throttle your usage or don't uselotcexcessively in a short amount of time.
Package: lord-of-the-rings-sdk
Lord of the rings sdkSDK for Lord of the rings apiSetupInstallpipinstalllord-of-the-rings-sdkAPI ReferenceImportsfromlord_of_the_rings_sdkimportLordOfTheRings# The first argument is the tokenapi=LordOfTheRings('your token')Get items eg. books# Returns requests.models.Response objectresp=api.book()# Returns json objectresp.json()# Status coderesp.status_codeSame thing book, movie, character, quote, chapterGet single item eg. movie# if the_id is specified it returns item with specified idresp=api.movie(the_id="id of the item")# Returns json objectresp.json()Same thing book, movie, character, quote, chapterGet single item attribute eg. single book chapter# sends request to /book/{id}/chapterresp=api.movie(the_id="id of the item",extra_path="chapter")# Returns json objectresp.json()Same thing book, movie, character, quote, chapterLimit, Page, Offset# limit by 20, offset by 1 and page 1 (by default a page is limited to 10)resp=api.book(limit=20)resp=api.book(page=1)resp=api.book(offset=1)# Returns json objectresp.json()Sort# syntax 'value to be sorted by:asc or desc' for ascending and descending order respectivelyresp=api.character(sort='name:asc')# Returns json objectresp.json()FilterOptionExampleExamplematch, negate matchmatch, negate matchname!=Frodoinclude, excluderace=Hobbit,Humanrace!=Orc,Goblinoexists, doesn't existsname!nameregexname=/foot/iname!=/foot/iless than, greater than or equal tobudgetInMillions<100academyAwardWins>0# syntax value to be filtered. operation, valueresp=api.character(filter='race=Hobbit,Human')# Returns json objectresp.json()TestsClone the repoGithubrun 'test/name of test'
Package: lord-of-the-rings-sdk-seanmavley
Lord of the Rings SDKThe Lord of the Rings SDK provides a convenient way to access the Lord of the Rings API endpoints for movies and quotes. This SDK allows developers to retrieve information about movies and quotes from the Lord of the Rings series.InstallationYou can install the Lord of the Rings SDK usingpip. Open a terminal and run the following command:pipinstalllord-of-the-rings-sdkUsageTo use the Lord of the Rings SDK in your Python project, follow these steps:Import the necessary classes from the SDK:fromlord_of_the_rings_sdkimportLordOfTheRingsSDKInitialize the LordOfTheRingsSDK class with your API key:api_key='your-api-key'sdk=LordOfTheRingsSDK(api_key)Use themovieandquotemethods of the SDK to access the respective endpoints:# Get a list of moviesmovies=sdk.movie().by_list()# Get movie by IDmovie_id='5cd95395de30eff6ebccde56'movie=sdk.movie().by_id(movie_id)# Get quotes by randomquotes=sdk.quote().by_random()# Get quote by IDquote_id='5cd95395de30eff6ebccde56'quote=sdk.quote().by_id(quote_id)TestingThe Lord of the Rings SDK includes a set of unit tests to ensure its functionality. To run the tests, follow these steps:Install the testing dependencies by running the following command in your terminal:pipinstall-rrequirements.txtRun the tests using the following command:python-munittesttest_lord_of_the_rings_sdk.pyThe test suite will execute and display the results in the terminal.Feel free to modify and extend the SDK according to your specific use cases and requirements.If you encounter any issues or have questions, please contact the SDK maintainers.
Package: lord-rings-sdk
Lord of ring SDKInstallationpip install lord_of_rings_sdkImportThe Client object is the cornerstone of the Lord of the Rings API SDK. Use it to make calls to the API endpoints and retrieve the corresponding data.from lord_rings_sdk import Client
client = Client(version="v2", env="dev")Methodsmovie.getThis method is used to retrieve a list of all the movies available.client.movie.get()
client.movie.get(movie_id)movie.get_quoteThis method is used to retrieve all the quotes from a specific movie. Note that this method only works for the Lord of the Rings trilogy. You can specify the movie's ID using the id parameter.client.movie.get_quote(id=movie_id)ParametersThe SDK methods support parameters to include in the query. They allow pagination, sorting and filtering by marching values.client.movie.get(
    parameters=Parameters(
        pagination=PaginationOptions(limit=1, page=1, offset=0),
        sorting=SortingOptions(direction="desc", parameter="name"),
        filtering=FilteringOptions(
            matches={Match(parameter="runtimeInMinutes", value="462")}
        ),
    )
)TestIn order to try the SDK follow the next steps:Install the SDKImport the SDKSign up in the APIhttps://the-one-api.dev/Login in the APIhttps://the-one-api.dev/Get the access tokenExport the access token in the LORD_RINGS_TOKEN env variable or set theheadersargument when calling the methods with theAuthorizationheader.Try SDK methods
Package: lords-json-modul
lords_json ist ein addon was json file arbeit noch mal einfacher machen sollte nutse get(filename) um einen file zu Ã¶ffnen oder nutse whrite(file, data) um ein datei zu schreiben.Change Log0.0.1 (18/02/2021)First Release0.0.2 (18/02/2021)Bugfix in Instalation
Package: loredis
loredisPure python reader for redis:import loredis

reader = loredis.Reader()
reader.feed(b'...')
reader.gets()Also privide a ServerReader, which accept inline command:import loredis

reader = loredis.ServerReader()
...Also privide some function to build command:INTSIMPLE_STRINGERRORBULK_STRINGARRAYbuild_command(BULK_STRING_ARRAY)Changes0.1.1(2014-10-11)server accept array and inline command only.0.1.0(2014-10-11)first release
Package: loreio-sdk
#Lore IO python SDK####Interactive shell:python-mloreiosdkwss://ui.getlore.io/storytellerMore information here :https://loreio.atlassian.net/wiki/spaces/LD/pages/711720969/Spyglass+Interactive+Shell####Scripting:fromloreiosdk.spyglass_scriptimportSpyglass# get your spyglass instancespyglass_instance=Spyglass('wss://ui.getlore.io/storyteller','USERNAME','PASSWORD',dataset_id='DATASET_ID')# cmd will trigger an sync command and will return an JSON object containing the result# passing a keyword argument = None is the equivalent of passing --argument without any value in the shell# result will always be in the following format:# {'seqno': 0, 'message': 'the message from the b-e', 'data': {"Some json/array": 0}}# based the command used, message and/or data can be Noneresult=spyglass_instance.cmd("Command Name","argument1","argument2",Keyword_arg1=True,arg2=None)# streaming_cmd will return a generator.# Today it is only compatible with the "chart"# result will be formatted likeforresultinspyglass_instance.streaming_cmd('chart','chart_id',streaming=None):printresult# async_cmd will trigger a none blocking command, allowing you to do something else# and if you need the result later, you can use get_result_for_cmd with the seqno# to get the status ('IN_PROGRESS' or 'DONE') and if done, the result of your command.seqno=spyglass_instance.async_cmd("Command Name","Positional_argument",Keyword_arg=1)print"Do Something else"status,result=spyglass_instance.get_result_for_cmd(seqno)##Contributors resourcesBuild using:updateversioninsetup.pyand__init__.py

pythonsetup.pysdistbdist_wheelPublish using:twineuploaddist/loreio-sdk-VERSION.tar.gz
Package: lore-iris
InstallationYou can install Lore's Iris API with pip.pip install lore-irisThe API has been tested with python 3.8.SetupIn order to use Iris you need to register for a freeIris API
account.  After registration you can access
your token athttps://api.iris.lore.ai/user.You will be prompted to enter this token when you first use the API:>>> from lore.iris import Client
>>> client = Client()
>>> results = client.search(docset_name="NEWS", query_string="covid")
Authorization failed.  Visit http://api.iris.lore.ai//user to get your token and then update your iris.yaml
Token: 
Updated to new token
Config file saved to /home/<username>/.config/iris/iris.yaml
>>> len(results)
100Note that the initial search query will run upon entering a valid token.Basic UsageTo access the API:from lore.iris import Client
client = Client()

# run a search
results = client.search(
		docset_name="NEWS",
		query_string="covid",
		fuzzy=True
		)To see the number of results:# check number of results
print(len(results))A "fuzzy" query will generally include more terms than the original search string:>>> print(results.terms)
['covid', 'coronavirus', 'pandemic', 'covid-19', 'covid 19']The results object is an iterator:# get first result
first = next(results)
print(first)You can iterate through all results but note that this willautomaticallygenerate additional queries to page through all results (by default a search
generates max 100 results returned in pages of size 10):# get all results
# NOTE: this will automatically fire additional paging queries
for idx,r in enumerate(results):
	print(f"{idx}. {r['display_name']} (lang [{r['language']}], {r['num_pages']} pages)")ConfigIris reads its configuration from the file.config/iris/iris.yamlin your
home directory:irisapi:
    server: http://api.iris.lore.ai/
    token: <API_TOKEN>
    version: '0.1'If this file is missing, Iris will use a default configuration without any token.
If you try to access the API with this configuration you will be prompted to
visit:https://api.iris.lore.ai/userwhere you will see your token.  Copy this into the prompt and Iris will save
your updated config file to.config/iris/iris.yamlin your homedir.TestingTo test run:pytest tests/test_api.py
Package: lorem
Python Lorem PackageSummaryGenerator for random text that looks like Latin.Simple Exampleimportlorems=lorem.sentence()# 'Eius dolorem dolorem labore neque.'p=lorem.paragraph()t=lorem.text()Complex Examplefromlorem.textimportTextLorem# separate words by '-'# sentence length should be between 2 and 3# choose words from A, B, C and Dlorem=TextLorem(wsep='-',srange=(2,3),words="A B C D".split())s1=lorem.sentence()# 'C-B.'s2=lorem.sentence()# 'C-A-C.'History0.1.1 (2016-06-18)Update documentation0.1.0 (2016-06-17)Minimum viable product0.0.1 (2016-06-14)First release on PyPI.
Package: lorem-aoponto
:space_invader: AboutThis code generates random text based on a string of Lorem Ipsum. It uses therandommodule to randomly select words from the string to build sentences and paragraphs. Thegenerate_wordfunction selects a single word from the string;generate_sentencebuilds a sentence by randomly selecting a number of words and adding a period at the end of the sentence. It may also insert commas based on the length of the sentence.generate_paragraphcreates a paragraph by randomly selecting a number of sentences;generate_textcreates a block of text by randomly selecting a number of paragraphs. The printed statements in the code test each of these functions to ensure that they work properly.:runner:  UsageThe code can be run in the terminal using the following command:python lorem_generator.py:raising_hand: ContributionAll contributions are welcome! Please open an issue or submit a pull request.
Package: loremify
loremifyLorem IpsumBelow is a paragraph of randomly generated words resembling human
language, but which are in fact just random. Because of the superficial
appearance of this text, it finds use when testing typesetting. For
example in Latex.Dolore tempore nobis labore nostrum, culpa aliqua ut fuga dolores incididunt
dolor, hic unde amet error iste aliqua quos. Rem iure, perferendis aliqua
amet, magni expedita perferendis ipsum excepturi, rem amet consectetur
placeat id, tempore lorem, rem dolore, dolor. Hic sed quasi consectetur
aliqua dolor autem sed tenetur libero perferendis accusamus tempor, ipsum
repellat laboriosam et magna. Labore eveniet et do libero ratione, voluptate
dolores magna suscipit adipisicing porro ducimus lorem rem esse magna. Amet
nam aliqua repellat sit et quae similique, elit sapiente magna saepe vel do
voluptatem ea dolor repellat assumenda alias. Dolor hic eiusmod, sunt aliqua
eum lorem, voluptate ipsum eos labore ut inventore reprehenderit labore
consequuntur aspernatur amet, labore aliqua, quo sed.The implementation provided in this package creates a string containing
this placeholder text. It can be dropped immediately into your existing
framework.Example:from loremify import lorem
ipsum = lorem(300)
ipsum
>>> Libero eiusmod magna, velit iusto, veniam fugiat consectetur adipisicing
repudiandae do placeat aliqua, sit? natus illo tempor consectetur ut
laudantium quia, aliqua et do et labore et in error non nostrum elit amet.
totam do aliqua aliquid vero elit sed ratione et dolore dolor, ipsum,
consectetur?Future Features:The following ideas are currently under development:Customizable Word List:The word lists used to create early versions are somewhat crude,
consisting of two text files, one containing common words and the other
uncommon words. The random process then applies weights to the common ones.We are considering different approaches to open up this functionality to
direct manipulation. Perhaps a sponsored word might find its way in?Direct Interaction with Latex:Presently, loremify just creates a string of text. This could be expanded
to include numbers, links, equations, figures and more. Rather than just
creating a random paragraph, write an entire, albeit random, scientific
article with sources, equations, tables and everything.
Package: loremipsum
The purpose of this package is to generate random (plausible) text sentences
and paargraphs based on a dictionary and a sample text. By default this package
will generateLorem Ipsumstyle text, but you can customize the generator to
effectively load any dictionary and any sample text you like.This package has en extensive docstring documentation, so you can read more on
the online documentation or in the python interactive shell as well.
Package: loremipsumpy
LoremipsumPy# This Package Generates Placeholder Text i Python that can be use anywhere where you need to put some lorem ipsumInstallationRun the follwoing to installpip install loremipsumpyUsagefrom loremipsumpy import Loremlorem = Lorem()
data = lorem.get_lorem_default(count=1)
print(data)
data = lorem.get_lorem_large(count=1)
print(data)
data = lorem.get_xlarge(count=1)
print(data)
data = lorem.get_xxlarge(count=1)
print(data)
Package: lorempicsum
# py-lorem-picsum
[picsum.photos](https://picsum.photos) is a brilliant API written by David Marby & Nijiko Yonskai. This library/tool is a little helper for downloading images in a easy and experimentally reproducable way from their API.I would use this in image labeling ML tasks to ensure that my model can adequately detects non-relevant data.## Installation
Assuming you have Python3 installed, simply use the package manager [pip](https://pip.pypa.io/en/stable/) to install py-lorem-picsum.pip install lorempicsum## Usagepython -m lorempicsum–folder myimages –number 100 –seed 42 –size 300## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.## TestsRun via unittest module:python -m unittest## License
[MIT](https://choosealicense.com/licenses/mit/)
Package: lorem-pysum
Lorem PysumGenerate instances of Pydantic models.InstallLorem Pysum is on PyPI and can be installed with:poetryaddlorem-pysumorpipinstalllorem-pysumUsageGiven a Pydantic model type Lorem Pysum can generate instances of that model with
randomly generated values.Examplefromenumimportauto,EnumfromuuidimportUUIDimportlorem_pysumfrompydanticimportBaseModelclassFlavor(Enum):MOCHA=auto()VANILLA=auto()classBrand(BaseModel):brand_name:strclassCoffee(BaseModel):id:UUIDdescription:strcream:boolsweetener:intflavor:Flavorbrand:Brandlorem_pysum.generate(Coffee)# Result -> id=UUID('550342d5-13ce-4ee1-b73d-d3c5e81607ce') description='string' cream=True sweetener=0 flavor=<Flavor.MOCHA: 1> brand=Brand(brand_name='string')
Package: lorem-text
Lorem TextDummy lorem ipsum text generatorFree software: MIT licenseDocumentation:https://lorem-text.readthedocs.io.FeaturesDummy lorem ipsum text generator for Python.Generate dummy senetnce, paragraphs and words.Command line interface tool included.UsageTo install Lorem Text, run this command in your terminal:pip install lorem-textTo use Lorem Text in a project:from lorem_text import loremFor randomly generated sentence of lorem ipsum text where the first word is capitalized, and the sentence ends in either a period or question mark:lorem.sentence()Generate a single paragraph:lorem.paragraph()Generate multiple paragraphs of lorem ipsum text each paragraph’s consists of 2 to 4 sentences:paragraph_length = 5
lorem.paragraphs(paragraph_length)Generate random lorem ipsum words seperated with single space:words = 10
lorem.words(words)Command Line InterfaceFor randomly generated paragraph of lorem ipsum text:lorem_textLorem ipsum sentence:lorem_text --sLorem ipsum words:lorem_text --words=50ContributingContributions are welcome, and they are greatly appreciated! Every little bit
helps, and credit will always be given.CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History1.0 (2020-01-06)First release on PyPI.2.1 (2021-10-16)Second release on PyPI.
Package: lorenzpy
LorenzPyA Python package to simulate and measure chaotic dynamical systems.⚙️ InstallationTo install only the core functionality:$pipinstalllorenzpyTo install with the additional plotting functionality.
This also installsmatplotlib. ⚠️ Plotting functionality not in a useful state.$pipinstalllorenzpy[plot]▶️ UsageLorenzPy can be used to simulate and measure chaotic dynamical systems.
The following example shows how to simulate the famousLorenz63 system, and measure its
largestLyapunov exponentfrom the
Lorenz63 iterator:importlorenzpyaslpy# Initialize the Lorenz63 simulation object with a RK4 time step of dt=0.05l63_obj=lpy.simulations.Lorenz63(dt=0.05)# Simulate 5000 steps of the Lorenz63 system:data=l63_obj.simulate(5000)# -> data.shape = (5000,3)# Calculate the largest Lyapunov exponent from the l63_obj iterator:iterator=l63_obj.iteratelle=lpy.measures.largest_lyapunov_exponent(iterator_func=iterator,starting_point=l63_obj.get_default_starting_pnt(),dt=l63_obj.dt)# -> lle = 0.905144329...The calculated largest Lyapunov exponent of0.9051...is very close to the literature
value of0.9056[^SprottChaos].For more examples see theexamples folder.💫 Supported systemsNameTypeSystem DimensionLorenz63autonomous dissipative flow3Roesslerautonomous dissipative flow3ComplexButterflyautonomous dissipative flow3Chenautonomous dissipative flow3ChuaCircuitautonomous dissipative flow3Thomasautonomous dissipative flow3WindmiAttractorautonomous dissipative flow3Rucklidgeautonomous dissipative flow3Halvorsenautonomous dissipative flow3DoubleScrollautonomous dissipative flow3Lorenz96autonomous dissipative flowvariableDoublePendulumconservative flow4Logisticnoninvertible map1Henondissipative map2SimplestDrivenChaoticFlowconservative flow2 space + 1 timeKuramotoSivashinskyPDEvariableMackeyGlassdelay differential equationvariable📗 DocumentationThe main documentation can be found here:https://duncdennis.github.io/lorenzpy/⚠️: The documentation is not in a useful state.⚠️ Further notesSo far the usefulness of this package is very limited.
The authors main purpose to creating this package was to learn the full workflow to
develop a Python package.
More information about the development process can be found inCONTRIBUTING.md.The plotting functionality, which can be installed withpip install lorenzpy[plot]is not tested so far.SeePynamicalfor a similar package[^SprottChaos]:
Sprott, Julien Clinton, and Julien C. Sprott. Chaos and time-series analysis. Vol. 69.
Oxford: Oxford university press, 2003.
Package: lorenz-zonoid
InstallationRun the following to install:pipinstalllorenz_zonoidfromlorenz_zonoidimportShapleyLorenzShare# Compute Shapley Lorenz Zonoid values:lorenzshare=ShapleyLorenzShare(model.predict,X_background_data,y_background_data)lorenzshare.shapleyLorenz_val(X_test,y_test)Developing Shapley Lorenz ZonoidTo install lorenz_zonoid, along with the tools you need to develop and run tests, run the following in your virtualenv:$pipinstall-e.[dev]
Package: lores
Render images in the terminal. Pronounced ‘Lo-Res’.installpip install lores. Done.lores depends on [pillow][], [requests][], and [vari][]; the above
command installs dependencies as needed.[pillow]:https://github.com/python-imaging/Pillow[requests]:https://github.com/kennethreitz/requests[vari]:https://github.com/philadams/variuseRender a local or remote image in your terminal:lores fixtures/parrot.png
lores –columns=40http://octodex.github.com/images/original.jpg![example/example.png](./example/example.png)helpAs expected, via-hor–help:usage: lores [-h] [-c COLUMNS] imfileRender images on the terminal.http://github.com/philadams/lorespositional arguments:imfile                image file to renderoptional arguments:-h,--helpshow this help message and exit-cCOLUMNS,--columnsCOLUMNSwidth of img in terminal columnsfuturebetter error reporting (don’t just defer to e.g. requests or PIL libs)