Saravanan666/pypi-org huggingface dataset:
Package: markovm
MarkovM-Python library for Markov Models.InstallationInstall fromPython Package Index:pipinstallmarkovmInstall fromSource Code:pipinstall.QuickstartCreate ModelYou can usemarkovm.create_markov_modelto create a Markov model. Please provide all valid states and an n-by-n matrix describing the probabilities of transitions, where n is the number of states. If two statesiandjdo not have a connection in between, setmatrix[i][j]to0. For example,>>>importmarkovm>>>importnumpy>>>m=markovm.create_markov_model(...states=("A","B","C"),...transitions=numpy.array([...[0.0,1.0,0.0],# A must goto B...[0.2,0.0,0.8],# B can goto A (20%) or C (80%)...[0.0,0.5,0.5],# C can goto B or stay...]),...)Random WalkYou can usemarkovm.random_walkto randomly walk through a Markov model. By default, it will start with the first state. If you want it to start with another state, please provide the index of the expected starting state toindexin the function call. You can also set a seed to the function call, and it usesNoneby default. For example,>>>importitertools>>>forstateinitertools.islice(...markovm.random_walk(m,seed=0),5...):...print(state)...ABCBA
Package: markovname
pyMarkovNameGeneratorMarkov chain-based name generator based onSam Twidaleimplementation in
Haxe. consider this work to be a python port with functionnally the same level
of functionality. Feed it a list of training data, and it’ll spew out a bunch of
new words.It comes with the training data compiled by Sam, and made available under
Creative CommonsBY-NC4.0.If you appreciate this work, considerbuying me a coffee.Install using:pip install markovnameRequirementsThis software has been developped and tested with python 3.9. Any earlier
version might not work.A minor dependency onwcwidth, make sure it is installed usingpip, your
package manager or whatever method you are familiar with. It is only necessary
if you plan to use the main module. If you’re only interested in the generator,
thenwcwidthcan be ignored.If you havepoetryavailable, you can initialize a virtual environment with:poetry installUsageThe software reads sample data from json formatted datasets. See the data folder
of this repository for examples.usage: __main__.py [-h] [--list] [-n NUMBER] [-o ORDER] [-p PRIOR] [-g KEY] [-V] DATA

positional arguments:
  DATA                  Path containing the data sets.

optional arguments:
  -h, --help            show this help message and exit
  --list                List the various dataset available to the software.
                        (default: False)
  -n NUMBER, --number NUMBER
                        Amount of names to generate. (default: 1)
  -o ORDER, --order ORDER
                        Highest order of model to use. Will use Katz's back-
                        off model. It looks for the next letter based on the
                        last "n" letters. (default: 3)
  -p PRIOR, --prior PRIOR
                        The prior adds a constant probability that a random
                        letter is picked from the alphabet when generating a
                        new letter. Must be a number between 0 and 1.
                        (default: 0)
  -g KEY, --generate KEY
                        Which dataset to use. If not specified, use a random
                        available set instead. (default: None)
  -V, --version         show program's version number and exit
Package: markov-novel
Write a random novel using markov chains.Free software: BSD licenseInstallationpip install markov-novelDocumentationhttps://python-markov-novel.readthedocs.io/DevelopmentTo run the all tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.1.0 (2016-11-26)First release on PyPI.
Package: markovpack
markovpackARoyalnetpack to have fun withMarkovify!UsageCreate a new directory in the working directory of the Royalnet instance.Place there the.jsonfiles generated by thetext.to_json()method of markovify's NewLineTexts.In theconfig.tomlof the Royalnet instance, set the following values:[Packs."markovpack"]Markov.models_directory="markovpack"# The name of the directory containing the .json filesMarkov.default_model="example"# The name of the .json file that should be parsed if no arguments are passed to the commandMarkov.min_words=5# The minimum number of words a sentence should have to be sentStart Royalnet withpython -m royalnetand have fun!
Package: markov-rlzoo
![MDP Image](https://cdn-images-1.medium.com/max/1200/1*QuBOz2yQ5Fy6YnZyvSPXzw.png)## Markov: Simple Python Library for Markov Decision Processes#### Author: Stephen OfferMarkov is an easy to use collection of functions and objects to create MDPfunctions.Markov allows for synchronous and asynchronous execution to experiment withthe performance advantages of distributed systems.#### States:- Reward, Terminal State, Actions, Value, Previous States, Next States, StatePolicy Probabilities.#### Policies:- Greedy Policy- e-Greedy Policy- More to come...#### Algorithms:- Dynamic Programming- Linear coming soon#### Optimizers:- Value/Policy Iteration- More to come...#### Environments:- Gridworld (ASCII, PyGame coming soon)- Gym coming soon- More to come...### Example:```pythonimport numpy as npimport argparsefrom markov import GreedyPolicyfrom markov.envs.gridworld import GridWorlddef value_iteration(K=1,discount_factor=1.):env = GridWorld()P = GreedyPolicy(env)values = np.zeros(env.n_states)for k in range(K):for state in env.states:v = 0for i, action in enumerate(state.actions):policy = state.policy[i]next_state = action(env, state.action_args)r = next_state.rewardv += policy * (r + discount_factor * next_state.value)values[state.index] = vfor state in env.states:state.value = values[state.index]env.print()def main():parser = argparse.ArgumentParser()parser.add_argument("--k", help="number of k-iterations",type=int,default=1)args = parser.parse_args()k = args.kvalue_iteration(k)if __name__ == "__main__":main()```#### Contributors Welcome
Package: markov_slackbot
Markov SlackbotMarkov Slackbot is a Slack chatbot that uses Markov chains.Free software: MIT licenseDocumentation:https://markov-slackbot.readthedocs.io.FeaturesThis slackbot can use multiple different models to output unique messages in channels that the bot belongs to.
In order to speak with the markov bot, invite the bot to the channel.Once the bot is in the channel, you can interact with the bot by calling it’s name, or by mentioning the bot.
To mix different models in the response, indicate the level interaction each model should have in the response` hey marky, give me a lot of lahey `` hey marky, give me a lot of lahey and a little star wars `CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2016-07-16)First release on PyPI.
Package: markov-solver
Markov SolverUtility to solve Markov Chains.RequirementsPython 3.6+InstallInstall the package, running:pipinstallmarkov-solverUsageChain with constant transition ratesLet us image that we want to solve the following Markov chain:We should create a YAML file that defines the chain:chain:-from:"Sunny"to:"Sunny"value:"0.9"-from:"Sunny"to:"Rainy"value:"0.1"-from:"Rainy"to:"Rainy"value:"0.5"-from:"Rainy"to:"Sunny"value:"0.5"Then, running the following command:markov-solversolve--definition[PATH_TO_DEFINITION_FILE]We obtain the following result:===============================================================
                     MARKOV CHAIN SOLUTION
===============================================================

                      states probability
Rainy.........................................0.166666666666667
Sunny.........................................0.833333333333333Chain with symbolic transition ratesLet us image that we want to solve the following Markov chain:We should create a YAML file that defines the chain:symbols:lambda:1.5mu:2.0chain:-from:"0"to:"1"value:"lambda"-from:"1"to:"2"value:"lambda"-from:"2"to:"3"value:"lambda"-from:"3"to:"2"value:"3*mu"-from:"2"to:"1"value:"2*mu"-from:"1"to:"0"value:"mu"Then, running the following command:markov-solversolve--definition[PATH_TO_DEFINITION_FILE]We obtain the following result:===============================================================
                     MARKOV CHAIN SOLUTION
===============================================================

                      states probability
0.............................................0.475836431226766
1.............................................0.356877323420074
2.............................................0.133828996282528
3............................................0.0334572490706320AuthorsGiacomo Marciani,mgiacomo@amazon.comReferences"Discrete-Event Simulation", 2006, L.M. Leemis, S.K. Park"Performance Modeling and Design of Computer Systems, 2013, M. Harchol-BalterLicenseThe project is released under theMIT License.
Package: markovx
![](resources/markovx_banner.png)### Intro ###[Markov Chains](https://en.wikipedia.org/wiki/Markov_chain) implementation <br>### Installation ###in your terminal:> pip install markovx### Examples ###Adding Chains```pythonfrom markovx.model import MarkovModelmx = MarkovModel()mx.add_one('123456')mx.add_one('qwerty')mx.add_many(['admin', 'root', 'user'])```Generating Chains```pythonmx.generate(10) # len of tokens in chain``````pythonmx.generate(10, random_init=True)# when True first token in chain would be assigned randomly# when False first token would be assigned based on observed firs tokens# default to False``````pythonmx.generate(10, smart_ending=False)# when False chain wouldn't be terminated before len(chain) == n even if model got to an end token# when True if model got to an end token while len(chain) < n chain would terminate# default to True```### Contact ###[Tal Peretz](https://www.linkedin.com/in/tal-per/)
Package: markplot
Simple script capable of generating plots and csv files from projects’
journal files containing aMarkdowntable. The journals must have
the same format as the examplejournal-sample.mdfile.InstallMarkplot is a python package, so it can be installed like this:pip install markplotCLIMarkplot includes a simple CLI. It only takes files as arguments. For examples:$markplotjournal-sample.mdProjects' information has been written in 'generated' directory.The above example uses the sample file and generates files namedgenerated/journal-sample/hours_journal-sample.csvandgenerated/journal-sample/time_histogram_journal-sample.png.DocsThe--helparg will make it show a usage page:$markplot--helpUsage: markplot [OPTIONS] [JOURNALS]...

  This script simply generates feedbacks from projects' journals. Output is
  generated in a directory called «generated».

  Generate one feedback from a journal:
      feedbackgenerator journal.md

  Generate two feedbacks from two journals:
      feedbackgenerator journal1.md journal2.md

Options:
  --help  Show this message and exit.
Package: mark-python-client
mark-python-clientA Python client for the MARK framework:https://cylab.be/research/markInstallation$pipinstallmark-python-clientUsageTo use the mark_python_client.py script just add it to your python code and you can invoke the different
methods defined in the scriptfrommark_clientimportmark_python_clientasmark_client#initialize the MARK Clientclient=mark_client.MarkClient()#set the url of the MARK serverclient.set_server_url("http://server.ip.address:ip.port")#add evidence to the database via the MARK serverclient.add_evidence(evidence_to_be_added)#fetch the ranked list of the k-most suspicious entriesranked_list=client.get_evidence()#fetch evidences with a specific label and subjectevidences=client.find_evidence(label,subject)ContributingInstallation$gitclonehttps://gitlab.cylab.be/cylab/mark-python-client.git
$cdmark-python-client
$pipinstall-rrequirements.txtProject overviewmark_client - source folder of the project1.1. mark_python_client.py : main code1.2. conftest.py : empty script used by pytest unit test library to point the global PATH variable to the modules and scripts used in the unit teststests - test folder of the project2.1. mark_python_client_test.py : integration test (requires a fully installed mark server)TestingCurrently the only implemented test is a complete integration test, which requires a fully running mark server. The recommended way to test the project is thus using gitlab-runner.Install Dockerhttps://docs.docker.com/install/linux/docker-ce/ubuntu/Install gitlab-runnerhttps://docs.gitlab.com/runner/Run the tests$gitlab-runnerexecdockertest:integration
Package: markr
MarkrA library and script for associating marks/labels/key-values with a given
file. Markr lets you perform operations on the marks for files.Associating metadata with files/resources can be used to organize, search and
perform other operations on files. Markr provides a library and script to do
this using external attributes.Getting StartedInstall the python3 packagepip3installmarkrTest setting and gettingmarks.$touchme.txt
$markrsetme.txtfoobar
$markrsetme.txtalicebob
$markrgetme.txt
foo:bar
alice:bobCreating a mark directory$mkdir-ptest/dir
$touchtest/dir/me.txt
$markrsetme.txtfoobar
$markrsetme.txtalicebob
$markrgetme.txt
alice:bob
foo:bar
$markrdirtest$treemarks
marks/
├──alice
│└──me.txt->../../test/dir/me.txt
└──foo└──me.txt->../../test/dir/me.txt2directories,2filesAdvanced FeaturesThedircommand scans all files underneath a given directory for marks, and
creates a new directory structure where each subdirectory is a given label. This
allows you to view what files have the same marksLicensingMIT License.
Package: markright
markright v­1.1.1Templateless markdown template engineInstallpipinstallmarkrightPython usageCreate aREADME.mdfile containing:Existing value: &shy;<!---foo--><!---/foo-->

Missing value: &shy;<!---bar-->bar<!---/bar-->Create python scriptmarkright_test.pywith code like:frommarkrightimportmarkdata={"foo":"foo"}mark("README.md",data)mark("README.md",data,True)# if you want to keep missing variables in the markupRun your scriptpython ./markright_test.pyand you will getREADME.mdlooks pretty awsome after rendering, for example on gitlab :Existing value: &shy;<!---foo-->foo<!---/foo-->

Missing value: &shy;<!---bar-->bar<!---/bar-->If you forgot to keep the missing variables, you will get the result:Existing value: &shy;<!---foo-->foo<!---/foo-->

Missing value: &shy;<!---bar--><!---/bar-->Restarting the script does not require clearing the template, just run the script again with new data!CLI Usagemarkright-h# for helpmarkright-fREADME.md-ddata.json# take data from json filemarkright-fREADME.md-ddata.ini# take data from [markright] section of ini filemarkright-fREADME.md-d'{"foo": "bar"}'# data from json stringmarkright-fREADME.md-ddata.json--dirt# if you want to keep missing variables
Package: markslibrary
hello-pypiJust seeing how to publish and version libraries for PyPIDevelopmentpython-mvenvmyvenvsourcemyvenv/bin/activate
python-mpipinstall--upgradepip
pipinstall-rrequirements.txtBuild Wheelbashbuild.shIntegration Test (local wheel build)bashbuild.shPublish to PyPIMake sure to bump version in setup.pytwineuploaddist/*Prod test PyPItwineuploaddist/*python-mvenvmyvenv_testsourcemyvenv_test/bin/activate
python-mpipinstall--upgradepip
pipinstall./dist/markslibrary-0.1-py3-none-any.whlpython-mvenvmyvenv_prodsourcemyvenv_prod/bin/activate
python-mpipinstall--upgradepip
pipinstallmarkslibrary
Package: marktask
marktaskmarktaskis a python module to mark files and list or folders with key-value
relations. The task of this module is to provide a python and command line interface
for running job like processes in python, which bases on multiple processing steps
on and around files.InstallingInstalling the latest release using pip is recommended.$pipinstallmarktaskThe latest development state can be obtained from gitlab using pip.$pipinstallgit+https://gitlab.com/david.scheliga/marktask.git@devAuthorsDavid Scheliga@gitlab@LinkedinInitial workMaintainerLicenseThis project is licensed under the GNU GENERAL PUBLIC LICENSE - see theLICENSEfile for detailsAcknowledgeCode style: blackPurpleBoothKeep a Changelog
Package: marktime
Simple python module for mark time.Inspired by two functions from node.js:console.timeconsole.timeEndMain features:easy to useno external dependencies100% test coverageworks with Python 2.7 and 3.3Usage$pipinstallmarktimeimportmarktimemarktime.start('some task')marktime.start('some another task')marktime.stop('some task')8.757422924041748marktime.stop('some another task').seconds14.805735111236572marktime.duration('some another task').msecs14805.735111236572marktime.start('some task # 3')withmarktime.stopwatch('some task # 4'):marktime.time.sleep(1)importjsonprintjson.dumps(marktime.labels,indent=4){"some another task":{"duration":14.805735111236572,"start_time":1370453758.064955,"end_time":1370453772.87069},"some task # 3":{"start_time":1370453892.025603,"end_time":None},"some task # 4":{"duration":1.00120210647583,"start_time":1370638027.000799,"end_time":1370638028.002001},"some task":{"duration":8.757422924041748,"start_time":1370453753.185846,"end_time":1370453761.943269}}APImarktime.start(label, at=None)label— marker label. String. Required.at— time to start the countdown. IfNonethen usestime.time().marktime.stop(label, remove_from_labels=False, stop_once=True)label— marker label. String. Required.at— time to stop the countdown. IfNonethen usestime.time()remove_from_labels— ifTruethenlabelremoved from global
dictmarktime.labels.stop_once— ifFalseand the countdown for the certainlabelis allready stopped thet it stopped it again. And thereafter the duration
for the certainlabelwill be increased.marktime.duration(label, stop_it=True, stop_at=None)label— marker label. String. Required.stop_it— ifTruethen the countdown for the certainlabelwill be stopped. IfFalseand the countdown for the certainlabelis not stopped then returnsNone.stop_at— passed intostopfunction ifstop_it==Truemarktime.stopwatch(label) — context manager (withstatement support)marktime.labels— globaldictthat stores all the labels for time markers.LicenseSeeLICENSEfile.
Package: marktplaats
marktplaats-pyA small Python package to request listings from marktplaats.nl. It supports python 3.7+.Installingpip3installmarktplaatsExampleThis is an example on how to use the library:frommarktplaatsimportSearchQuerysearch=SearchQuery("fiets",# Search queryzip_code="1016LV",# Zip code to base distance fromdistance=100000,# Max distance from the zip code for listingsprice_from=0,# Lowest price to search forprice_to=100,# Highest price to search forlimit=5,# Max listings (page size, max 25)offset=0)# Offset for listings (page * limit)listings=search.get_listings()forlistinginlistings:print(listing.title)print(listing.description)print(listing.price)print(listing.link)# the location objectprint(listing.location)# the seller objectprint(listing.seller)# the datetime objectprint(listing.date)# the full seller object (another request)print(listing.seller.get_seller())forimageinlisting.images:print(image.medium)print("-----------------------------")
Package: marktree
marktreeThis command converts headings in a Markdown file (.md) into a tree-like structure and outputs it.Table of ContentsTable of ContentsSetupQuick UsageUsageDependenciesSetupInstall via pip:pipinstallmarktreeHandling the "Warning" on WindowsIf you received a "Warning" when executing the above command on Windows, please refer to the following article.Reference:Resolution for PATH not being set when using pip install in Python on Windows | Yusu NoteQuick Usage$marktree[Options][foo.md]OptionsDescriptionmarktree -hDisplay the help screen.marktree --help_jpDisplay the help screen in Japanese.marktree -L 3The -L option determines the level at which the tree is displayed.marktree -CThe -C option outputs the Markdown text copied to the clipboard directly in tree format.ExamplePrepare the following Markdown namedfoo.md.# h1## h2### h3#### h4#### h4## h2## h2### h3#### h4##### h5###### h6### h3# h1Regular output (default depth is 6):$marktreefoo.md
├──h1│├──h2││└──h3││├──h4││└──h4│├──h2│└──h2
│├──h3││└──h4││└──h5││└──h6│└──h3
└──h1Use-L 3to determine the depth:$marktree-L3foo.md
├──h1│├──h2││└──h3│├──h2│└──h2
│├──h3│└──h3
└──h1Use-Coutputs the Markdown text copied to the clipboard directly in tree format. Additionally,-Lcan be used in combination:$marktree-C-L3├──h1│├──h2││└──h3│├──h2│└──h2
│├──h3│└──h3
└──h1UsageThemarktreecommand outputs the file as a tree hierarchy, depending on the#of the Markdown file.
The-Loption specifies the depth, as in the originaltreecommand. Note that the depth can be from 1 to 6, and specifying more than that will result in an error.
The-Coption outputs the Markdown text structure copied to the clipboard directly in tree format. This is convenient as it eliminates the need to copy the Markdown text to another file before outputting.The order of the options is in no particular order, including the Markdown file to be passed. Also, if you pass multiple files likemarkdown foo.md hoge.md,only the last filewill be converted and output.Dependenciespyperclip
Package: markupFor3DSlicer
Librairie que renvoit un simple dictionnaire comportant la mise en page qui lui permet d'Ãªtre lu par 3D Slicer en temps que fichier markups.Fonctions :line(x,y,z,vectX,vectY,vectZ,norme,name='vect',large=0.3, color=[0.4, 1.0, 0.0], selectedColor=[1.0, 0.5000076295109484, 0.5000076295109484])
- x,y,z : position de depart
- vectX,vectY,vectZ : position d'arriver
- norme : taille de la ligne
- name : nom de la ligne (optionnel)
- large : largeur de la ligne (optionnel)
- color : couleur du Markups (optionnel)
- selectedColor : couleur du Markups (optionnel)point(x,y,z,name="point",large=5.0, color=[0.4, 1.0, 0.0], selectedColor=[1.0, 0.5000076295109484, 0.5000076295109484])
- x,y,z : position du point
- name : nom du point (optionnel)
- large : largeur du point (optionnel)
- color : couleur du Markups (optionnel)
- selectedColor : couleur du markup (optionnel)final(suite)
- suite : suite contenant tout les dictionnaire creer precedement (Attention, il est imperatif que la condition soit une suite et non un dictionnaire)Change Log0.1 (05/07/2021)First release : Ajout de la fonction line(x,y,z,vectX,vectY,vectZ,norme,name) permettant de creer un ligne Markup.0.2.1 (06/07/2021)Second release : Changement de la fonction line(...) pour ajouter les condition "large" (lageur de la ligne), ajout de la fonction point(x,y,z,name,large) permettant de creer un point Markup et final(suite)
permettant de realiser la mise en page final.0.2.2 (08/07/2021)Third release : Ajout de la condition color (option), couleur du Markups.0.2.2.1 (08/07/2021)Fourth release : Juste un patch de la V0.2.2 pour rendre fonctionnel la couleur (Ajout de la condition selectedColor).1.0 (08/07/2021)Last release : Aucun changement. Important : Toutes les mises Ã  jour ce feront dans la librairie Shiva.