Saravanan666/pypi-org huggingface dataset:
Package: automabot
Par Maël Pedretti[1]et Dany Chea[2]IntroductionCréation d’un bot sur discord qui va servir de relais entre le client et le serveur, permettant une manipulation simple de fonctions domotiques, tel que le contrôle de l’allumage de lampes à distance.Ce projet permet de faire une simulation d’acquisition des états des lampes en différents endroits, que l’on pourra observer via une page HTML.
L’tilisateur enverra une commande au bot, qui va transmettre cette commande au serveur, et retransmettra sa réponse à l’utilisateur dans discord.Si l’état des lampes est changé depuis une autre plateforme que le bot, le bot transmettra une notification dans le channel entré dans les paramètres.TutorielInstallation du botPour installer le bot il suffit d’éxecuter la commande suivante$pipinstallautomabotLancement du botPour lancer le bot, il suffit d’exécuter$automabotLors du lancement du bot, celui-ci demandera quelques informations afin de créer son fichier de configuration, si celui-ci n’existe pas déjà au préalable.
S’il s’agit du premier lancement, il faudra indiquer les éléments suivants:le token du bot Discord, que l’on peut récuperer surle portail développers de Discordle host du server de notificationsle port du server de notificationsl’id du channel discord sur lequel le bot va transmettre les notificationsle préfixe des commandes qui permet d’appeler le botl’url du serveur sur lequel envoyer les requêtes pour connaître l’état des lampesl’url du serveur sur lequel envoyer les requêtes pour changer l’état des lampesListe des commandesAfin de lister les commandes du bot, il faut taper la commande help, précédée par le motif de préfix donnée dans le fichier de configuration.help: affiche le message d’aide qui va lister les commandeslight get : permet de voir l’état d’une lumièrelight set : permet d’allumer ou d’éteindre une lampesleep : permet de mettre le bot en veillewakeup : permet de réveiller le botLes commandes sleep et wakeup ne sont disponibles que pour le propriétaire du channel, ou par Maël Pedretti.[1][1](1,2)<mael.pedretti@he-arc.ch>[2]<dany.chea@he-arc.ch>
Package: auto-machine-learning
SUPERMLJust enter your dataset and grab a cup of coffee while our system generates the best model for you!How to Installpip install auto-machine-learningTo contribute towardsForkthis Repository.Clone your Fork on a different branch:git clone -b <name-of-branch> https://github.com/mihir2510/AutoML_library.gitAfter adding any feature:Goto your fork and create a pull request.We will test your modifications and merge changes.Made with :heart:   byZenil HariaMihir GadaArnav MankadKaustubh Damania
Package: automagically
🔥  Automagically  Python ClientIntroductionAutomagically is Foundation as a Service. We work at your finger tips to provide you with the management tools, APIs and SDKs to build software.Get startedInstallationpipinstallautomagicallyexportAUTOMAGICALLY_API_KEY=....CodefromautomagicallyimportClientfromautomagically.typesimportEmail# We are reading the Environment variable AUTOMAGICALLY_API_KEYautomagically=Client(logging=True)if__name__=="__main__":email=Email(from_email="hey@automagically.cloud",to=["hey@automagically.cloud"],subject="Hello world",body="Hello from example app 👋")automagically.send_email(email)automagically.send_telegram_message("Hello from example app 👋")automagically.publish_event("test_event",{"value":"Hello from example app 👋","sense_of_life":42})You find more examples in the/examplesfolder.DocumentationWIPGet your API keyApply for early access athttps://automagically.cloud.
Package: automagicio
AutoMagicIOAutoMagicIO is a versatile Python module designed to streamline input/output operations in Python projects. It provides a set of intuitive interfaces and automated routines to handle common file operations, such as reading, writing, and parsing data from various file formats.InstallationYou can install AutoMagicIO via pip:pipinstallautomagicioUsageReading DataTo get started with AutoMagicIO, you'll need to create an instance of theAutoMagicIOclass, providing the filename of the data you want to work with.fromautomagicioimportAutoMagicIOauto_io=AutoMagicIO('data.csv')auto_io.read()Reads data from the specified file format (CSV, JSON, or XML) and automatically detects the format.Writing DataYou can save your processed data using thewritemethod, specifying the output filename and format ('json' or 'xml').auto_io.write('output.json',format='json')Writes data to a file in the specified format.Data ValidationYou can check if your data contains required fields using thevalidate_datamethod.valid=auto_io.validate_data()Checks if data contains required fields (Name, Age, City).Sorting DataTo sort your data based on a specific column, use thesort_datamethod.sorted_data=auto_io.sort_data('Name')Sorts data based on the specified column.Aggregating DataYou can perform aggregation operations (sum, average, count) on a specific column.sum_result=auto_io.aggregate_data('Age','sum')average_result=auto_io.aggregate_data('Age','average')count_result=auto_io.aggregate_data('Age','count')Performs aggregation operations on the specified column.Filtering DataFilter data based on a specific condition.filtered_data=auto_io.filter_data('City','New York')Filters data based on the specified condition.Transforming DataApply a specified transformation function to the values of a specific column.deftransform_age(age):returnint(age)+5transformed_data=auto_io.transform_data('Age',transform_age)Applies a specified transformation function to the values of the specified column.Deduplicating DataRemove duplicate records based on a specified column.unique_data=auto_io.deduplicate_data('Name')Removes duplicate records based on the specified column.Getting DataRetrieve the stored data.data=auto_io.get_data()Gets the stored data.ContributorsIshan OshadaVersion1.0.0
Package: automailer
An Automated Email SenderpipinstallautomailerUsagefile structureCreate the following file structure./
    /data
       email_list.csv
       message.mdmessage.md---
subject: Required Subject for Email
sender: Required Gmail senderpassword: OTP for gmail sender---Hi {name},

The cool thing about this file is that you can add any column included in your csv and it will populate. 
Your favorite color is {favorite_color}.

Best,

Senderemail_list.csvThe only required column for this file isemail.name, favorite_color, email
Jacob, Green, jacob@gmail.comRunChange to root of project.python-mautomailer
Package: automan
automan: a simple automation frameworkThis framework allows you to automate your computational pipelines.automanis open source and distributed under the terms of the 3-clause BSD
license.FeaturesIt is designed to automate the drudge work of managing many numerical
simulations. As an automation framework it does the following:helps you organize your simulations.helps you orchestrate running simulations and then post-processing the
results from these.helps you reuse code for the post processing of your simulation data.execute all your simulations and post-processing with one command.optionally distribute your simulations among other computers on your
network.This greatly facilitates reproducibility. Automan is written in pure Python
and is easy to install.InstallationYou should be able to install automan usingpipas:$ pip install automanIf you want to run on the bleeding edge, you may also clone this repository,
change directory into the created directory and run either:$ python setup.py installor:$ python setup.py developDocumentationDocumentation for this project is available athttps://automan.rtfd.ioThere is a paper onautomanthat motivates and describes the software:Prabhu Ramachandran, “automan: A Python-Based Automation Framework for
Numerical Computing,” in Computing in Science & Engineering, vol. 20, no. 5,
pp. 81-97, 2018.doi:10.1109/MCSE.2018.05329818A draft of this paper is available here:https://arxiv.org/abs/1712.04786There are more than ten research publications that use automan to automate the
entire paper. To see complete examples of these research publications using
this framework, see the following:The EDAC-SPH paper:https://gitlab.com/prabhu/edac_sphAll the repositories/papers here:https://gitlab.com/pyprML/AI related research paper using automan:https://github.com/nn4pde/SPINNTheREADME.rstin these repositories will document how to set everything
up. The automation script will typically be calledautomate.py.A simpler example project which uses automan is here:https://github.com/mesnardo/automan-exampleThe package nameThe name automan comes from an old serial with the same name.  Most
other names were taken on pypi.
Package: automap
automapautomapis a Python package containing high-performance autoincremented
integer-valued mappings.To install, just runpip install automap.Examplesautomapobjects are sort of like "inverse sequences". They come in two
variants:FrozenAutoMap>>>fromautomapimportFrozenAutoMapFrozenAutoMapobjects are immutable. They can be constructed from any iterable
of hashable, unique keys.>>>a=FrozenAutoMap("AAA")Traceback(mostrecentcalllast):File"<stdin>",line1,in<module>ValueError:'A'>>>a=FrozenAutoMap("ABC")>>>aautomap.FrozenAutoMap(['A','B','C'])The values are integers, incrementing according to the order of the original
keys:>>>a["A"]0>>>a["C"]2>>>a["X"]Traceback(mostrecentcalllast):File"<stdin>",line1,in<module>KeyError:'X'The fullMappinginterface is provided:>>>[*a.keys()]['A','B','C']>>>[*a.values()][0,1,2]>>>[*a.items()][('A',0),('B',1),('C',2)]>>>a.get("X",42)42>>>"B"inaTrue>>>[*a]['A','B','C']They may also be combined with each other using the|operator:>>>b=FrozenAutoMap(range(5))>>>c=FrozenAutoMap(range(5,10))>>>b|cautomap.FrozenAutoMap([0,1,2,3,4,5,6,7,8,9])>>>b|=c# Note that b is reassigned, not mutated!>>>bautomap.FrozenAutoMap([0,1,2,3,4,5,6,7,8,9])AutoMap>>>fromautomapimportAutoMapUnlikeFrozenAutoMapobjects,AutoMapobjects can grow; new keys may be
added, but existing ones may not be deleted or changed.>>>d=AutoMap("ABC")>>>dautomap.AutoMap(['A','B','C'])>>>d|="DEF"# Here, d *is* mutated!>>>dautomap.AutoMap(['A','B','C','D','E','F'])They also haveaddandupdatemethods for adding new keys:>>>e=AutoMap(["I","II","III"])>>>e.add("IV")>>>eautomap.AutoMap(['I','II','III','IV'])>>>e.update(["V","VI","VII"])>>>eautomap.AutoMap(['I','II','III','IV','V','VI','VII'])PerformanceTests show string-keyedAutoMapobjects being created 70% faster and accessed
5% faster than the equivalentdictconstruction, on average. They also tend to
take up the same amount of memory. You can runinvoke performancefrom this
repository to see the comparison on your machine.More details on the design can be found inautomap.c.
Package: auto-mapper
Auto MapperA package thatmapsa set of strings to another set of objects where each object is described as:{'code':'unique_code','name':'given name'}How it worksTha process mainly starts by a text-cleaning, which is just another way of saying text processing, with the help of certain dependencies (NLTKfor the current release).The cleaning operation transforms each string to a list of tokens. By running a text similarity algorithm on the resulting vectors we're able to map certain fields with the most similar columns.Another phase of mapping consist of an additional text processing step, which isstemming, combined with a lower similarity threshold is applyed on the unmapped fields.The final step is to measure the semantic similarity between the unmapped fields and columns. Thanks toDatamuseand their greate API we were able to ~externalize this operation.InstallationFirst you need to install the package, then run a setup script that will download the necessary ntlk packages$ pip install auto-mapper
$ setup-nltkNOTE:if you are using a virtual environment, please check it out before running the nltk setupIt downloads the packages to the environment folderUsageIt's pretty straightforward>>>frommapperimportAutoMapper>>>mapper=AutoMapper()>>>cols=['city','Location Name']>>>fields=[{'code':'loc_name','name':'location names'},{'code':'town','name':'Town'}]>>>mapping_result,unmapped_columns_indices,unmapped_fields_indices=mapper.map(column_names=cols,fields=fields)>>>print(mapping_result)[{'source': ['city'], 'target': 'town'}, {'source': ['Location Name'], 'target': 'loc_name'}]>>>print(unmapped_columns_indices)set()>>>print(unmapped_fields_indices)set()
Package: automapping
Python 3.7 helper tool to work with mapping of dataclasses.It allow automapping a dataclass attributesfromautomappingimportMapper,Rename@dataclassclassInnerA:number:intlist_of_values:List[str]untyped_list:list@dataclassclassA:name:strid_a:intinner:InnerA@dataclassclassInnerB:number:intlist_of_values:List[str]untyped_list:list@dataclassclassB:name:strid_b:intinner:InnerBmapper=Mapper()mapper.add_mapper(AutoMap(A,B,[Rename('id_a','id_b')]))mapper.add_mapper(AutoMap(InnerA,InnerB))input_a=A(name='Paul',id_a=6,inner=InnerA(number=10,list_of_values=['a','b'],untyped_list=[1,True]))result=mapper.map(input_a,B,ObjectDictTypeUpdater)print(result)# B(name='Paul', id_b=6, inner=InnerB(number=10, list_of_values=['a', 'b'], untyped_list=[1, True]))
Package: automaps
Welcome to autoMapsAutomatically generate customized and ready to print mapsWith autoMaps, you can:prepare your map layouts in QGISlet your users define map parameters in a nice web frontendreceive beautiful, ready to print maps as PDFs or in other file formatsGive your domain experts the power to create maps like a GIS pro!Start by reading thedocumentation, including theGetting Started Tutorial.FeaturesPre-define your map layouts, let your users set the map parametersUse the power of a GIS, serve the maps over the webEasy to configureBuilds on reliable open source projectspowered by
Package: automark
MarkerA marking utility to help automate code testing, and interfacing with the submission platform. Currently, the following platforms are supported:CanvasMarkUsThis package installs the programmarker. It supports the following commands:marker download: Downloads files from the given LMS.marker prepare: Copies needed files into student directories, compiles code.marker run: Runs all the test cases, creates logs and compiles marks.marker upload-marks: Uploads the student marks to the LMS.marker upload-reports: Uploads the testing logs to the LMS for the student.marker set-status: Sets the marking state of the submission (MarkUs only).How to installThere are 2 ways to install this marker. The recommended way of doing this is to install frompip:- Using PIPpip install automarkAlternatively, if you want to develop, you will need to build from source:- Build from sourceFirst, clone this repository to your machine:gitclonehttps://github.com/mustafaquraish/markerThen, go into the cloned repo and use the Makefile to build and installcdmarker
makeinstallAlternatively, use the following commands to build and install yourself if your preferredpythonandpipexecutables are named differently:python3 setup.py bdist_wheel
pip3 install dist/*Full Documentation available in the wiki
Package: auto-markdown-badges
auto-markdown-badgesAuto-generated markdown badges. 🧙🖼Inspired bymarkdown-badges, I wanted to have a tool which automatically creates badges for me.🚀 Get startedTo install it fromPyPIrun:pip install auto-markdown-badgesThen just call it like this:Usage: auto-markdown-badges generate [OPTIONS] INPUT_FILEGenerates badges from a file.Options:INPUT_FILE                      The file to use for generation of badges.[required]-o, --output-file FILE          The file to output to.-p, --placement [header|inplace|footer]Specify where to place the badge.  [default:Placement.INPLACE]-h, --help                      Show this message and exit.Examples of generated badges can be found in theexamplesdirectory.🤔 How it WorksIt reads the given file, line by lineIt tries to findsimple-iconsfor every wordIt replaces the word with a badge❤️ ContributingContributions are very welcome. Please go ahead and raise an issue if you have one or open a PR. Thank you.
Package: automatagen
automatagenGenerate random terrain using cellular automata.CompatibilitiesPython 3.xAny Operating SystemInstallationautomatagen is published onPyPi, so you only need to run the following command:$ pip install automatagenUsageNote: TerrainGenerator.generate(width, height) returns a 2d array of boolean values. All visualisations are made using numpy and matplotlib.Instantiating a new TerrainGenerator:fromautomatagenimportTerrainGeneratorterrgen=TerrainGenerator()Generating a random 196x64 size map:map=terrgen.generate(196,64)Instantiating a TerrainGenerator with different options:terrgen=TerrainGenerator(initial_density=0.25,steps=10,loneliness_limit=5)Generating a random 196x64 map with the new options:map=terrgen.generate(196,64)Generating a 196x64 map with a specific seed:map=terrgen.generate(seed=9001)And generating another one with the same seed:map=terrgen.generate(seed=9001)
Package: automata-lib
AutomataCopyright 2016-2024 Caleb EvansReleased under the MIT licenseDocumentation:https://caleb531.github.io/automata/Migration Guide:https://caleb531.github.io/automata/migration/API:https://caleb531.github.io/automata/api/Automata is a Python 3 library implementing structures and algorithms for manipulating finite automata,
pushdown automata, and Turing machines. The algorithms have been optimized and are capable of
processing large inputs. Visualization logic has also been implemented. This package is suitable for
both researchers wishing to manipulate automata and for instructors teaching courses on theoretical
computer science.The library requires Python 3.8 or newer.Huge thanks to@eliotwrobson,@YtvwlD,@dengl11,@Tagl,@lewiuberg,@CamiloMartinezM,@abhinavsinha‑adrino,@EduardoGoulart1,@khoda81, and@christopher-hampsonfor their invaluable code contributions to
this project! 🎉InstallingYou can install the latest version of Automata via pip:pipinstallautomata-libTo install the optional visual dependencies, use thevisualextra:pipinstall'automata-lib[visual]'ContributingContributions are always welcome! Take a look at thecontributing guide.
Package: automatata
automatataAutomata in Python!UsageHere's a Discrete Finite Automaton that accepts words that contain an even number of "a"s and "b"s.fromautomatata.models.dfaimportDFAevens=DFA(language={"a","b"},edges={0:{"a":1,"b":1,},1:{"a":0,"b":0,},},start=0,goal={0},)assertevens.valid("")assertnotevens.valid("a")assertevens.valid("ab")assertevens.valid("ba")assertnotevens.valid("aba")assertnotevens.valid("aab")assertnotevens.valid("abb")foriinrange(10):forpinpermutations("a"*i+"b"+i):assertevens.valid(p)assertevens.valid("aaaabb")
Package: automate-arduino
Read the full documentation atReadthedocs.org.InstallationInstall from Pypi:pip install automate-arduinoOptionally, you could install also by cloning GIT repository and installing manually:git clone https://github.com/tuomas2/automate-arduino.git
cd automate-arduino
./setup.py installLicenceAutomate is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.Automate is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.You should have received a copy of the GNU General Public License
along with Automate.  If not, see <http://www.gnu.org/licenses/>.
Package: automateboringstuff
# automateboringstuff
This package installs the modules used in “Automate the Boring Stuff with Python”, 2nd Edition.This book, along with all of Al Sweigart’s programming books, is freely available under a Creative Commons license athttps://inventwithpython.comThe online video course that follows the content of “Automate” can be found athttps://inventwithpython.com/automateudemyYou can install this package by runningpip(orpip3on macOS and Linux):pip install –user automateboringstuffYou can also run Pip as a Python module by running (usepython3on macOS and Linux):python -m pip install –user automateboringstuffThis will install the following modules:send2trash==1.5.0requests==2.21.0beautifulsoup4==4.7.1selenium==3.141.0openpyxl==2.6.1PyPDF2==1.26.0python-docx==0.8.10imapclient==2.1.0twilioezgmailezsheetspyinputpluspillow==6.0.0pyautogui# Note About Pyzmail36This module doesn’t installpyzmail36. The latest version of Python’ssetuptoolsmodule has deprecated some functionality, and trying to installpyzmail36with it results in a “use_2to3 is invalid” error message.To installpyzmail36, you need to first install version 58.0.0 ofsetuptoolswith the following command:pip install –user setuptools==58.0.0Then you can installpyzmail36:pip install –user pyzmail36==1.0.4Then you can updatesetuptoolsto the latest version again:pip install –user -U setuptoolsI’m currently working with the maintainer ofpyzmail36to have this issue fixed.
Package: automateboringstuff1stedition
automateboringstuff1steditionThis package installs the modules used in "Automate the Boring Stuff with Python", 1st Edition, and the online Udemy course. If you have the 1st edition of the book, you'll want to installautomateboringstuffinstead.This book, along with all of Al Sweigart's programming books, is freely available under a Creative Commons license athttps://inventwithpython.comThe online video course that follows the content of "Automate" can be found athttps://inventwithpython.com/automateudemyYou can install this package by runningpip(orpip3on macOS and Linux):pip install --user automateboringstuffYou can also run Pip as a Python module by running (usepython3on macOS and Linux):python -m pip install --user automateboringstuffThis will install the following modules:send2trash==1.5.0requests==2.21.0beautifulsoup4==4.7.1selenium==3.141.0openpyxl==2.1.4PyPDF2==1.26.0python-docx==0.8.10imapclient==2.1.0twiliopillow==9.2.0pyautoguiNote About Pyzmail36This module doesn't installpyzmail36. The latest version of Python'ssetuptoolsmodule has deprecated some functionality, and trying to installpyzmail36with it results in a "use_2to3 is invalid" error message.To installpyzmail36, you need to first install version 58.0.0 ofsetuptoolswith the following command:pip install --user setuptools==58.0.0Then you can installpyzmail36:pip install --user pyzmail36==1.0.4Then you can updatesetuptoolsto the latest version again:pip install --user -U setuptoolsI'm currently working with the maintainer ofpyzmail36to have this issue fixed.
Package: automateboringstuff2ndedition
automateboringstuff2ndeditionThis package installs the modules used in "Automate the Boring Stuff with Python", 2nd Edition.This book, along with all of Al Sweigart's programming books, is freely available under a Creative Commons license athttps://inventwithpython.comThe online video course that follows the content of "Automate" can be found athttps://inventwithpython.com/automateudemyYou can install this package by runningpip(orpip3on macOS and Linux):pip install --user automateboringstuffYou can also run Pip as a Python module by running (usepython3on macOS and Linux):python -m pip install --user automateboringstuffThis will install the following modules:send2trash==1.5.0requests==2.21.0beautifulsoup4==4.7.1selenium==3.141.0openpyxl==2.6.1PyPDF2==1.26.0python-docx==0.8.10imapclient==2.1.0twilioezgmailezsheetspyinputpluspillow==9.2.0pyautoguiNote About Pyzmail36This module doesn't installpyzmail36. The latest version of Python'ssetuptoolsmodule has deprecated some functionality, and trying to installpyzmail36with it results in a "use_2to3 is invalid" error message.To installpyzmail36, you need to first install version 58.0.0 ofsetuptoolswith the following command:pip install --user setuptools==58.0.0Then you can installpyzmail36:pip install --user pyzmail36==1.0.4Then you can updatesetuptoolsto the latest version again:pip install --user -U setuptoolsI'm currently working with the maintainer ofpyzmail36to have this issue fixed.