Saravanan666/pypi-org huggingface dataset:
Package: manitex
manitexAuthor:  Serge ReyVersion:  0.2 (2023/01/15)License:  LPPL v1.3 or later (LaTeX code) and BSD 3-Clause (Python code)Development:https://github.com/sjsrey/manitexRequirements:  Python 3+The manitext package builds a manifest of files for a Latex article that has
been accepted for publication.Featuresarchive of manifest in a zip fileautomatic indexing of figures and graphic filesUsingIf the main latex document is calledmain.tex, we first need to generate a list of files required to compile the paper. To do this, add the following at the top of the main latex document:\RequirePackage{snapshot}Compiling the paper withpdflatex mainwill produce a file calledmain.depthat contains information that can be used to build the manifest. Themain.depfile is required formanitexto work and an exception will be
raised if the file is missing.Building the manifestmanitex main.texWill produce the zip filemain.zipthat contains all the figures and main
tex files required to build the pdf version of the article, along with aREADME.mdfile that provides an index/explanation for the copy-editor.In some cases it can be useful to create a directory that contains the manifest files, rather than only the archive. This can be done with:manitex main.tex --outputdir dirnamedirnamewill contain the required files.
Package: manjaro-torrent-find
Reads the RSS feed from osdn.net/projects/manjaro/storage/!rss and parses out the
.torrent, .sig, .sha1 and .sha256 files. It then attempts to download them to the
current directory.InstallationAvailable from pypi, sopip3 install manjaro-torrent-find –usershould suffice.
You’ll then have a new command at$HOME/.local/bin/mtfso add that dir to your path.UsageOnce the local python scripts directory is on your path, just executemtf.:Manjaro Torrent Find will scrape osdn.net for Manjaro torrents.

Usage:
    mtf [options]

Options:
    -h this help
    -o output directory (default: current directory)
    -p project (either 'manjaro' or 'manjaro-community') (default: both)
    -r only scrape the OSDN RSS feeds to find the torrent files
    -t length of time to wait before requesting a new page/file from OSDN (default: 1 second)

With `-o` the output directory must already exist, otherwise the
current directory is used.

`-t` defaults to 1, though it could be a fracion i.e. 0.25 and is amount of time
to wait before requesting a new 'thing' from OSDN - this is to ensure that we don't
overload the OSDN servers (leave it at 1 second to be nice).
Package: mankey-stats
Mankey StatsMankey_stats is a Python library that allows the user to quickly and efficiently perform data preparation techniques to transform the datasets for ML modeling, this is done through the utilization of several transformation and statistical analysis methods.DocumentationDocumentationPrimary functionality include:Detailed analysis of features, including numerical distibution testsAnalysis and handling of outliers and missing dataInteractive plotting and data visualization functionalityTranformation options including One hot encoding, ordinal transformations, and weight of evidenceFunctionality to prepare date fields for ML modelsAbility to examine and recommend without modifying the underlying dataOptimized logic to ensure fast execution times, using numpy, scipy, and vectorization techniquesAnalysis of features:Feature Normality testGrubb's test and Tucky's fences for handling outliers (based on stat. distribution)Missing value analysis (% and best method to handle - mode/median/or mean)Best scaling methods are selected for each numeric feature (min-max scaler or standard scaler)Multiple methods to handle categorical features:One Hot encoderOrdinal encoderWeight of Evidence transformationsDate manipulationAbility to expand date fields to YEAR, MONTH, and/or DAY fieldsSubtract date features to create a "due in days" fieldInstallationThe library is published in the PyPi repository, it can be installed with pip:pip install mankey_statsFeel free to help us improve, simply clone it from this github and submit your features :)git clone https://github.com/mankey_stats/mankey_stats.gitDependencies:We rely on the proven ML libraries: pandas, Seabor, plotly, numpy, scipy, and Scikit LearnExample Usage>>>importpandasaspd>>>frommankey_stats.ordinal_encoderasordinal_encoder>>>data={'type':['bad','average','good','very good','excellent'],'level':[1,2,3,4,5]>>>levels_dict={'type':['bad','average','good','very good','excellent'],}>>>data=pd.DataFrame(data)>>>print(data)Out[1]:
type    level
bad       1
average   2
good      3
very good 4
excellent 5  
Name: var_A, dtype: int64t_ord=transformers.Ordinal_Transformer()t_ord.fit(levels_dict,df,None)df=t_ord.transform(df,None)Out[2]:
0       1
1       2
2       3
3       4
4       5
Name: var_A, dtype: int64Find more in thedocumentation.Documentationmankey-stats documentation is built usingSphinxand is hosted onRead the Docs.You can re-build the docs usingbuild htmlLicenseMIT
Package: manly
manlymanly is a compliment to man pages.It's a lot likeexplainshell(don't worry, that is explain-shell, not explains-hell).Your good friend has a funky alias inhis dotfiles:alias alert="notify-send -i terminal -t 5 'Alert from Terminal!'":$ manly notify-send -it

notify-send - a program to send desktop notifications
=====================================================

      -t, --expire-time=TIME
              The duration, in milliseconds, for the notification to  appear  on  screen.
              (Ubuntu's Notify OSD and GNOME Shell both ignore this parameter.)

      -i, --icon=ICON[,ICON...]
              Specifies an icon filename or stock icon to display.Short and sweet!Installationmanly supports Python 2 and 3$ pip install manlyAn unofficial Arch User Repository is maintained by mpolidori athttps://aur.archlinux.org/packages/manly/.Develop with me :)Ideas, contributions and everything else is welcome!$gitclonehttps://github.com/carlbordum/manly
$cdmanly
$python-mvenvmanlyenv
$.manlyenv/bin/activate
$pythonmanly.pyMake sure test locally before sending a Pull Request using:$pipinstallpytest
$py.test
Package: manly-randomization-test
manly_randomization_testB. F. J. Manly was a statistician who wrote several influential books and papers on multivariate statistical methods, biostatistics, and methods for randomization tests.A randomization test is a type of non-parametric test that allows us to test hypotheses without requiring assumptions about the specific distribution of the data. It's also known as a permutation test or re-randomization test.In the case of comparing means between two groups, a randomization test can be used in place of a traditional t-test when the assumptions of the t-test are not met (for example, if the data do not follow a normal distribution, or if the sample size is very small).Here is an overview of how a randomization test between means is conducted:Calculate the observed difference between the two group means. 
    This will serve as your test statistic.
Combine all the observations from both groups into a single group.
Randomly divide this combined group into two new groups, making sure the group sizes match the original group sizes.
Calculate the mean difference for these randomized groups.
Repeat steps 3-4 thousands of times, each time recording the calculated mean difference.
Count the number of times the absolute value of the randomized mean difference is greater than or equal to the absolute value of the observed mean difference. 
    This will give you the p-value, or the probability of observing a mean difference as extreme as, or more extreme than, the observed mean difference under the null hypothesis.The null hypothesis for this test is that the group labels do not matter; in other words, there is no difference in means between the two groups. If the p-value is less than your predetermined significance level (often 0.05), you would reject the null hypothesis and conclude that there is a statistically significant difference in means between the two groups.Usagefrommanly_randomization_testimportRandomizationTestgroup1=np.array([1,2,3,4,5])group2=np.array([2,3,4,5,6])test=RandomizationTest(group1,group2)p_value=test.test()print('p-value:',p_value)
Package: mannaggia
Mannaggia-py 👼~ mannaggia is a python application to praise or more likely to curse the saints. ~Ko-fi·Installation·ChangelogDeveloped by@veesoCurrent version: 0.1.4 (30/01/2022)RememberMannaggia? This is a Python remake of it, with new features.mannaggia is a python application to praise or more likely tocursethe saints.When mannaggia is started, it will start naming all the known saints (and more!), preeceding their name with a curse (such asmannaggia a xxxxx) or with a praise (such aslode a xxxxx).This tool is extremely suggested to be used during an intense debugging session or when implementing those kinds of tasks that makes you want to resign from your job.Features 🐷Support for differentdictionaries of saintslocal storage file (seefactory.py)http://www.beatiesanti.itlocal file (read line by line)Support for differenttext-to-speechengines:espeakGoogle TranslatoriSpeechMacOs voice-overMozilla TTSAutomatically plays the sound usingpydub. You can check here the requirements to play audio:https://github.com/jiaaro/pydub#playback.Get started 🚀Install mannaggia with pippip3installmannaggiaRun mannaggiamannaggia--helpor in case it's still not available in your pathpython3-mmannaggiaIn case you're missing some dependencies after installation, run:pip3install-rrequirements.txtMozilla tts 🦊To get started with mozilla tts, you need to install mozilla tts on your machine withpip3 install tts.In order to use mozilla TTS as text to speech engine for mannaggia, you need to provide the following options when running mannaggia:mannaggia--model_name$MODEL_NAME-tmozillawhere model name is something liketts_models/de/thorsten/tacotron2-DCAin addition to this you need also to provide the--config_fileargument, which must be the file containing the models list.The default configuration file, can be found athttps://raw.githubusercontent.com/mozilla/TTS/master/TTS/.models.jsonor in this repository atconfig/models.json.example:mannaggia--model_nametts_models/fr/mai/tacotron2-DDC--config_fileconfig/models.json-tmozilla--prefix"Va te faire enculer"File as a dictionaryYou can opt to use a text file as a dictionary. To do so, it'll be enough to write line by line the name of the "characters" to invoke in mannaggia.example:mannaggia-dfile-D./config/dictionary.txtLicense 📜Licensed under theDO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE, you can findHEREthe entire license
Package: mannaggia-bot
mannaggia-bot 👼~ The official Telegram bot for mannaggia-py ~Ko-fi·Setup·mannaggia-pyDeveloped by@veesoCurrent version: 0.1.1 (24/08/2022)About mannaggia-botMannaggia-bot is the Telegram bot formannaggia-pyCommand API 🐷/mannaggiaSend an audio with a randommannaggia a <random_name>/mannaggia <name>Send an audio sayingmannaggia a <name>Get started 🚀For usersScan this QR code or go to this URLhttps://t.me/mannaggiapy_botto start a chat with Big Luca bot, then add it to any group or chat directly with him.For developersInstall mannaggia-bot with pippip3installmannaggia-botRun mannaggiaexportLOG_LEVEL="info"exportTELEGRAM_API_KEY="..."mannaggia-botIn case you're missing some dependencies after installation, run:pip3install-rrequirements.txtSupport the developer ☕If you like mannaggia-bot and you're grateful for the work I've done, please consider a little donation 🥳You can make a donation with one of these platforms:License 📜Licensed under theDO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE, you can findHEREthe entire license
Package: mannhunter
A memory limiting tool forSupervisor.Source on GitHubDocumentation on Read the DocsPackages on PyPIUsagemannhunter [--config PATH] [--host RIEMANN_HOST] [--port RIEMANN_PORT]Mannhunter can be started with or without a configuration file. By default, it will restart any programs running under Supervisor if they use more than 80% of the systems total memory. Limits for individual programs can be specified in an optional configuration file - an example configuration is provided inconf/example.conf.InstallationMannhunter can be installed from pip:pip install mannhunterIf you want to install Mannhunter with a system package manager,fpmis recommended. For example:fpm -s python -t rpm mannhunter
rpm -i python-mannhunter-0.0.0-1.noarch.rpmRequirementsclickprotobufpsutilriemann-clientsupervisorThepsutilpackage uses C extensions, and installing the package from source or with a python package manager (such aspip) will require build tools. Alternatively, it can be installed from your distribution’s repositories (python-psutilon Debian and CentOS). Superman currently uses a very old version ofpsutilso as to remain compatible with CentOS.Mannhunter is developed and tested on Python 2.6. There are no plans to release it for Python 3, as Google’sprotobuflibrary (and thereforeriemann-client) are only compatible with Python 2.LicenceMannhunter is licensed under theMIT Licence. The protocol buffer definition is sourced from theRiemann Java client, which is licensed under theApache Licence.AuthorsMannhunter was written bySam Clements, while working atDataSift.
Package: mannou
A manga downloader from various sites.Please remember this package still under development.Installation$ pip install mannouExampleThis code$ mannouhttps://manganelo.com/manga/tomochan_wa_onnanoko–downloadwill download every manga and save it in~/mangaCreditsThis package structure is heavily influenced by [cookiecutter-pypackage][1] and the [requests][2].[1]:https://github.com/audreyr/cookiecutter-pypackage[2]:https://github.com/requests/requestsFree software: GNU General Public License v3Documentation:https://mannou.readthedocs.io.
Package: manny
MannyDjango cli add-on for generating apps, models, serializers, views, urlsInstallationInstall with pip:$ pip install mannyThen add it to your INSTALLED_APPS.INSTALLED_APPS=(...'rest_framework','scaffold',...)UsageTo create multiple apps at once, run the following command, where args are future app names:$pythonmanage.pyscaffold-appapp1app2...To create models, serializers, views, urls, run the following command:$pythonmanage.pyscaffold{app_name}{options}Option-m, --model {fields}Add a model with specific fields. Default fields: update_date, create_date-s, --serializers {model_names}Add a new serializer for the specific model; by default for all models-vi, --views {model_names}Add a view for the specific model; by default for all models-uAdd urls for all modelsTo create models, use the following syntax:$pythonmanage.pyscaffold{app_name}-m{model_name}title:Char:255books:Foreign::CASCADETo specify a field, you must pass the arguments in this order:NAME:FIELD_TYPE:FIELD_OPTIONS(only required)Field options are optional because there are default values.Result:classBook(models.Model):title=models.CharField(max_length=255)books=models.ForeignKey("self",on_delete=models.CASCADE)update_date=models.DateTimeField(auto_now=True)create_date=models.DateTimeField(auto_now_add=True)classMeta:ordering=["-id"]
Package: manoelgadi12
manoelgadi12porject helps to automatically or with human assistance manipulate dataFree software: MIT licenseDocumentation:https://manoelgadi12.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History1 (2016-06-18)First release on PyPI.
Package: manolyamailsender
Purpose:Python mail things are little bit complicated. There are many blogs and questions about it. I just made it very simple.
You can use it in your classes as inherit it or creating instances.Dependence:smtplib and email which are built-in libraries.Features:gmail and other services are supported. You can use gmail instance if you want or you can set your company's smtp
settings in other services classes.
Aware that there will be an error if you create your other_services instance without filling your smtp settings.
You need to assign a variable then fill class property smpt and create your instance. For details, see test.pyYou may type your username or detailed mail address like ucok.umut orucok.umut@gmail.comI didn't implement file attachment yet. You may want to do that. Pretty simple.
You can open issues or RFC.Authors and ContributorsCore contributors:

Umut Ucok: primary author.  : ucok.umut@gmail.com
Package: manonaid-helpers
Installationpip install manonaid_helpersSeePyPifor package index.RequirementsAzure Storage connection string has to be set as environment variableAZURE_STORAGE_CONNECTION_STRINGor
the seperate environment variablesAZURE_STORAGE_KEYandAZURE_STORAGE_NAMEwhich will be used to create the connection string.Set variables like below:
For Windows PowerShell
$env:AZURE_STORAGE_CONNECTION_STRING = 'blahblahblah....'For Command Prompt
set AZURE_STORAGE_CONNECTION_STRING=blahblahblah....UsageDownload1. Fetch as pd.DataFrameWe can use thereturnAsDataFrameDict()method to fetch one or multiple blobs as DataFramesWhile fetching multiple blobs the return object is a dictonary of DataFrames with the blob name(with the extension) as the key.Iftype_correct_date_time_colsis set asTrue:
For all blobs that contain columns with names containing "date" or "time" are converted to datetime with format="%Y-%m-%dT%H:%M:%S"delimitteris set to','by defaultfrommanonaid_helpers.downloadimportDownloaddf=Download(source="cyi5",extension=".csv",folder="pack_test/").returnAsDataFrameDict()2. Download a specific folder from a containerWe can download a folder by setting thefolderargument.frommanonaid_helpers.downloadimportDownloadDownload(source='cyi5',folder="pack_test/",extension='.csv',).returnAsDataFrameDict()3. Download a given list of filesWe can give a list of files to download with thelist_filesargument.frommanonaid_helpers.downloadimportDownloadDownload(source='cyi5',folder="pack_test/",extension='.csv',list_files=["20230301_ais_accuracy.csv"],).returnAsDataFrameDict()List blobsWith theUtils.list_blobsmethod we can do advanced listing of blobs in a container or specific folder in a container.
We have several argument we can use to define our scope of information:name_starts_with: This can be used to filter files with certain prefix, or to select certain folders:name_starts_with=folder1/subfolder/lastfolder/
Package: manopot
ManoPot is a simple TCP HoneyPot written in Python 3.Source Codehttps://github.com/Rand0mAccess/ManoPotPyPI packagehttps://pypi.org/project/manopot/Documentationhttp://manopot.rtfd.io/Documentation can also be found in the ‘docs/’ directory as reStructuredText files. Build the docs by running ‘make’
in the ‘docs/’ directory, then viewing ‘docs/_build/html/index.html’.
Package: ma-notification-center
ma_notification_centerma-notifications is a Python package that provides a notification center for sending various types of notifications.InstallationYou can install ma-notification-center using pip:pipinstallma_notification_centerUsageHere's an example of how to use ma-notification-center:fromma_notification_centerimportnotificationcenternotifications=notificationcenter.Notifications()# Send an emailnotifications.send_email(to_emails=["recipient1@example.com"],cc_emails=["recipient2@example.com"],bcc_emails=[],subject="Notification",body_text="This is a notification email.",body_html="<p>This is a notification email.</p>")# Send a Telegram messagenotifications.send_telegram(["chat_id"],"Hello from NotificationCenter!")# Send a Telegram photonotifications.send_telegram_photo(["chat_id"],"https://example.com/photo.jpg","Check out this photo!")# Send a Telegram documentnotifications.send_telegram_document(["chat_id"],"https://example.com/document.pdf","Important Document")
Package: manowar-server
ManowarManowar, it stores info about your servers and analyzes it for you if you ask it to.DescriptionManowar is a tool designed to help people profile and analyze their server
fleets for for various things. With is companion tool, audittools
it can check environments for a series of common vulnerabilities that one might
wish to check against.The goal is to build and centrally store a commonlly formatted
set of data for each server in your environment that you can use to analyze
and answer questions quickly about your environment with.InstallInstallation is unfortunately manual at the moment. There are some pidgin examples
of how to install in thetravis/directory. In the future, ports to replace
EdgeCast specific deployment code should be added.SecurityBanditis utilized in travis for automatic
code scanning. Generally, if your python code doesn't pass a bandit check it won't be
accepted in. Additionally,shellcheckis utilized
for bash code, same rules apply.ContributingPlease refer to thecontributing.mdfile for information about how to get involved. We welcome issues, questions, and pull requests. Pull Requests are welcome.MaintainersChris Halbersma :chris+manowar@halbersma.usUsageSee theinstall.mdfile for instruction on how to get the project running. The apis will by default start on localhost
on ports 5000 and 5001.LicenseCode is made available under aBSD-2-Clauselicense (seeLICENSEfile).
Package: manpreet
TOPSIS-PythonWhat is TOPSISTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.How to use this package:TOPSIS-Manpreet-101803174 can be run as in the following example:In command prompt:>>TOPSISdata.csv"1,1,2,1""+,-,+,-"result.csvSample DatasetModelCorrelationR2RMSEAccuracyM10.790.621.2560.89M20.660.442.8963.07M30.560.311.5762.87M40.820.672.6870.19M50.750.561.380.39OutputModelScoreRank-----------------10.77221220.225599530.438897440.523878350.8113891
Package: manrag
ManraginstallationElon musk is french.build projectbuild setupbuild wheelpython setup.py bdist_wheelgitignore.iochoosealicense.cominstallpip install -e .[dev]build wheel / upload to pypipython setup.py sdist 
twine upload dist/*usefrom manrag.helloworld import say_hello
print(say_hello("Francis"))misceleanousrequirements.txt is specific to your machine and generated bypip freeze > requirements.txtinstall_requires should be flexibleextras_requires should be specificextra requires for different metrics ?
Package: manrododex
A manga downloader for mangadex using theirAPIFeaturesThreads support for faster downloads.Uses queue for safe threading and better memory usage.Creates a series.json file like mylar. (
seeKomgaandmylar3)Can be used to automate the download of manga in combination with crontabs/Scheduled Tasks.Manrododex makes it possible to download multiple manga with little to user interaction.A possibly wrong Japanese translation of the name.BugsInspirationI might have stolen some ideas from these awesome projects.manga-pymangadex-dlMangaDex.pyQtileMaintainer@SydiepusGPG:BD1D 09DF 8A49 E7A6 C705 3B8A 7D6C DB7E 575A C12A