Saravanan666/pypi-org huggingface dataset:
Package: prime_algorithms
# prime_algorithmsCurrently, this package provides a few prime number algorithms.### Requirementspython >= 2.7 or >= 3.0### Installation```python setup.py install``````from prime_algorithms.algorithms.millerrabin import MillerRabinfrom prime_algorithms.algorithms.squareroot import SquareRootfrom prime_algorithms.algorithms.sixk import SixKfrom prime_algorithms.algorithms.solovaystrassen import SolovayStrassennum = 3//fast methodsMillerRabin().isPrime(num)SolovayStrassen().isPrime(num)//slow methodsSquareRoot().isPrime(num)SixK().isPrime(num)```# How to Contribute- provide a method isPrime to your algorithm.- ``NameOfYourAlgorithm.isPrime(num)``### References- https://math.stackexchange.com/questions/1187491/prime-numbers-6k-1-mod-rule-new-discovery- https://www.youtube.com/watch?v=lEvXcTYqtKU (00:00 - 00:15 )- https://en.wikipedia.org/wiki/Miller–Rabin_primality_test- https://en.wikipedia.org/wiki/Solovay%E2%80%93Strassen_primality_test- https://coderwall.com/p/utwriw/prime-numbers-with-python- https://primes.utm.edu/lists/small/
Package: primebit.py
primebitPORTED BY REQUEST FROM weebwasherewhat is primebit you may ask? wellprimebitis a logging npm package that give the users ability, to log anything in a fancy way!There's also 4 types of logging types you can use:error
success
warning
log (default)using these, will change the logging type to the one you prefer above.Installationto install primebit You can do the following:pip install git+https://github.com/YumYummity/primebit.pyImplentationAfter you've installed primebit, you can add your text, and implement the logging types like this:fromprimebitimportprimeprime.log("a regular message (default log)")prime.error("a error message")prime.success("a success message")After you've customized your prefered logs, your good to go!
Package: primecount
primecountA Python wrapper forprimecount.DocumentationThis package follows the documentation provided bythe C API reference, generating three methods:primecount.nth_prime,primecount.piandprimecount.phi.InstallationIn the first place, you have to downloadthe source code of the libraryand build it. Make sure you have installedcmake,gitandmake. You might have to make use ofsudoifmake installever fails.git clone https://github.com/kimwalisch/primecount
cd primecount
cmake . -DBUILD_SHARED_LIBS=ON
make -j
make installAfter having installed the library, it's time to install the Python wrapper by cloning this repository. Make sure you have installedpipand thatprimecountis reachable as a shared library using a compiler.git clone https://github.com/hearot/primecount
cd primecount
pip install .Instead of the last command, you can typepython setup.py installas well.Commit messagesSeeConventional Commits.ContributingSeeCONTRIBUTING.md.VersioningSeePEP 440.Copyright & LicenseCopyright (C) 2020Hearot.Licensed under the terms of theBSD 2-Clause License.
Package: primecountpy
Primecount Cython interfaceThis is a Cython interface to the C++ libraryprimecount.We have split out primecountSageMathspkg with its Cython interface.Quick installation and testing:Install primecount C++ librarycd /tmp/
git clone https://github.com/kimwalisch/primecount
cd primecount
cmake . -DBUILD_SHARED_LIBS=ON
make -j
sudo make install
sudo ldconfig # linux onlyin this repo, dopython3 setup.py install --userpython3and>>> import primecountpy as primecount
>>> primecount.pi(1000)More details on installation without root (sudo) access,
and testing withpytest, may be found in themanual.
Package: primed-avro
primed-avroversion number: 0.0.6
author: Matthijs van der KroonOverviewA python package that provides:A basic Confluent Schema Registry clientConfluent compatible Avro encoding and decodingHigh level KafkaConsumer that decodes Avro messages on the flyWARNING: python2.7 not supportedInstallation / UsageTo install use pip:pipinstallprimed_avroOr clone the repo:gitclonehttps://gitlab.com/primedio/primed-avro
pythonsetup.pyinstallExample Confluent Schema Registry clientfromprimed_avro.registryimportConfluentSchemaRegistryClientcsr=ConfluentSchemaRegistryClient(url="your_registry_url")schemaMeta=csr.get_schema(subject=topic)Example Avro en/decodingfromprimed_avro.encoderimportEncoderfromprimed_avro.decoderimportDecoderencoder=Encoder(schema=schemaMeta.schema).get()bytesvalue=encoder.encode(schemaMeta.id,record)decoder=Decoder(schema=schemaMeta.schema).get()record=decoder.decode(bytesvalue)Example High level KafkaAvroConsumerfromprimed_avro.consumerimportAvroConsumerc=AvroConsumer(topic="mytopic",bootstrap_servers="localhost:9092",registry_url="http://localhost:8081")formsginc.consume():print(type(msg),msg)ContributingTBD
Package: prime-faster
prime-fasterDescriptionThis is a small program that finds all the prime numbers up to a given number faster than the naive algorithm.Install$pipinstallprime-fasterUsageimportprimefasterprint(primefaster.is_prime(7))# Trueprint(primefaster.get_prime(10))# [2, 3, 5, 7]LicenseMIT License Copyright (c) 2022 Takahashi Akariakaritakahashioss@gmail.com
Package: primegenerator
IntroductionFastPrimeNumbersgenerator which caches previous results across instances.You usually don't need as many primes as the worst-case - eg for the includedlcm(lowest common multiplier) function.Also provides a very fastprimesieveif you wish to pre-calculate a large number of primes.Getting StartedInstallation:pip install primegeneratorMain usage:fromprimegeneratorimportPrimeNumbersprimes=PrimeNumbers()forprimeinprimes:...#do somethingif...#beware this is an infinite iterator!breakTest if number is prime:fromprimegeneratorimportPrimeNumbersassert5inPrimeNumbers()assert9notinPrimeNumbers()Get a specific prime:fromprimegeneratorimportPrimeNumbersprimes=PrimeNumbers(startat1=True)assertprimes[3]==5assertprimes[3:5]==[5,7]Preseed - if you know you need all primes up to n:fromprimegeneratorimportPrimeNumbersn=100#somebignumberprimes=PrimeNumbers.preseed(n)forprimeinprimes:...#do somethingif...#beware this is still an infinite iterator and will keep going past the seed point!breakLowest common multiplier:fromprimegeneratorimportlcmnumbers=[2,3,4]assertlcm(numbers)==12assertlcm(3,4,5)==60Sieve:fromprimegeneratorimportprimesievelistofprimes=primesieve(maxprime)Build and TestTests are written for pytest in/tests/test_*.pypip -r tests/requirements.txtfor additional imports required for some tests.Tests are available on the ADO repository (see link below)/devcontains some useful stuff for debugging, profiling and further development and is only available on the ADO repository (see link below)ContributeCode repository (ADO):https://dev.azure.com/MusicalNinjas/MikesMath/_git/primesHomepage:https://dev.azure.com/MusicalNinjas/MikesMathWhat's New?v1.3.1Slicing supports negative stepv1.3.0Get a specific prime withprimes[n]orprimes[n:m]v1.2.1test_wrapperimprovementsv1.2.0n in PrimeNumbers()will test if n is primev1.1.0lcmwill take multiple arguments and find lowest common multiplier. (Previously required a single list or tuple)v1.0.0PrimeNumbers()infinite iterator supportingstartat1,.preseed()lcmto find lowest common multipliersieveto return a list of primesComing next...Able to launch a parallel process to pre-calculate the next prime needed on a separate CPU core
Package: primegenerators
PrimeGenerators - Prime Number Generation and UtilitiesCommand Line InterfaceThe prime generator can be run from the command line. The output can be piped or redirected to a separate file or
process.usage:primegenerators[-h][-cCOUNT][-f{text,json}]Randomnumbergeneratorandanalyzer.

options:-h,--helpshowthishelpmessageandexit-cCOUNT,--countCOUNTThenumberofvaluestogenerate-f{text,json},--format{text,json}TheformatoftheoutputPython LibraryThe prime generator should be created using the factory method, e.g.:fromprimegeneratorsimportget_generator# Details elidedgenerator=get_generator("eratosthenes")forindex,primeinenumerate(generator.primes()):sys.stdout.write(str(prime))# Further processing and exit conditionsMember Functionsprimes()->Iterator[int]Generate an endless series of prime numbers, starting with 2.Returns an iterator over the series of prime numbers.primes_range(minimum:int,maximum:int)->Iterator[int]Return an iterator over the series of prime numbers between minimum
and maximum inclusive.minimum:The minimum number in the series. If this number is not prime,
the first number in the series is the first prime higher than this number.maximum:The maximum number in the series. If this number is not prime,
the last number in the series is the last prime lower than this number.is_prime(number:int)->boolDetermine whether a given number is prime or not.number:The number to be checked for prime-nessReturnsTrueif the candidate number is prime, otherwiseFalseprime_factors(self,number:int)->CounterCalculate the prime factors of a number.number:The number to be factorizedReturns acollections.Counterobject containing the prime factors ofnumberDownload Statistics
Package: primehub-job
This is still in the Alpha stage.PrimeHub JobSubmit PrimeHub jobs easierInstallpip install primehub_jobHow to UsePrimeHub version >= 2.8Set the API_TOKEN environment variableMake sure your group have group volumefromprimehub_jobimportsubmit_phjob,get_phjob_logs,get_phjob_result,wait_and_get_phjob_result# You can write @submit_job() to use default settings.@submit_phjob(name='submitJob',image='datascience-notebook',instance_type='cpu')deftest(a,b='b'):print(a)print(b)returna,b# Submit a job and wait the resultwait_and_get_phjob_result(test('aaa','ccc'))# Submit a jobjob_id=test('aaa','ccc')# Get the running logsprint(get_phjob_logs(job_id))# Get the job resultget_phjob_result(job_id)RestrictionsDon't use global variables in functionsIf you want to return a model, please use the framework's saver to save model, and return the saved model path to load the model. Here is the example:# tensorflowdefexport_model(model,export_path):ifos.path.isdir(export_path):print('Cleaning up\n')shutil.rmtree(export_path)model.save(export_path)returnexport_path@submit_phjob()deftraining(epochs=2,dropout=0.2):mnist=tf.keras.datasets.mnist(x_train,y_train),(x_test,y_test)=mnist.load_data()x_train,x_test=x_train/255.0,x_test/255.0model=tf.keras.models.Sequential([tf.keras.layers.Flatten(input_shape=(28,28)),tf.keras.layers.Dense(512,activation=tf.nn.relu),tf.keras.layers.Dropout(dropout),tf.keras.layers.Dense(10,activation=tf.nn.softmax)])model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])model.fit(x_train,y_train,epochs=epochs)model.evaluate(x_test,y_test)returnexport_model(model,'1')job_id=training()# load trained modelmodel=tf.keras.models.load_model(get_phjob_folder_path(job_id)+'/'+wait_and_get_phjob_result(job_id))Run the Testspython -m pytest
Package: primehub-python-sdk
PrimeHub Python SDKPrimeHub Python SDK is the PrimeHub AI Platform Software Development Kit (SDK) for Python, which allows Python
developers to write software that makes use of services like Job and Deployment.Getting StartedAssuming that you have Python, you can install the library using pip:$ pip install primehub-python-sdkOr trying the latest from our source code:$ pip install git+https://github.com/InfuseAI/primehub-python-sdk.git@mainUsing CLIAfter installing PrimeHub Python SDKNext, set up the configuration in~/.primehub/config.json:{"api-token":"<api-token>","endpoint":"https://<primehub-domain>/api/graphql","group":{"name":"<group-name>"}}The<api-token>couldbe generated from User Portal.Then, from a shell:$ primehub me
id:             a7db12dc-04fa-419c-9cd7-af768575a871
username:       phadmin
firstName:      None
lastName:       None
email:          dev+phadmin@infuseai.io
isAdmin:        TrueRunningprimehubwithout arguments to show help:$ primehub
Usage:
  primehub <command>

Available Commands:
  admin                Commands for system administrator
  apps                 Manage PrimeHub Applications
  apptemplates         Get PhAppTemplates
  config               Update the settings of PrimeHub SDK
  datasets             Manage datasets
  deployments          Get a deployment or list deployments
  files                List and download shared files
  groups               Get a group or list groups
  images               Get a image or list images
  info                 Display the user information and the selected group information
  instancetypes        Get an instance types of list instance types
  jobs                 Manage jobs
  me                   Show user account
  models               Manage models
  notebooks            Get notebooks logs
  recurring-jobs       Manage recurring jobs
  version              Display the version of PrimeHub Python SDK
  volumes              Get a volume or list volumes

Options:
  -h, --help           Show the help

Global Options:
  --config CONFIG      Change the path of the config file (Default: ~/.primehub/config.json)
  --endpoint ENDPOINT  Override the GraphQL API endpoint
  --token TOKEN        Override the API Token
  --group GROUP        Override the current group
  --json               Output the json format (output human-friendly format by default)SDKfrom a Python interpreter:In [1]: from primehub import PrimeHub, PrimeHubConfig

In [2]: ph = PrimeHub(PrimeHubConfig())

In [3]: ph.me.me()
Out[3]:
{'id': 'a7db12dc-04fa-419c-9cd7-af768575a871',
 'username': 'phadmin',
 'firstName': None,
 'lastName': None,
 'email': 'dev+phadmin@infuseai.io',
 'isAdmin': True}

In [4]:DocsThere is adocsfolder in our repository. You could find:CLI: all commands usage examplesnotebook: examples written in python
Package: primeiropacotepypi-10-22
primeiropacotepypi_10_22Example of PyPI package.Getting StartedDependenciesYou need Python 3.7 or later to useprimeiropacotepypi_10_22. You can find it atpython.org.
You also need setuptools, wheel and twine packages, which is available fromPyPI. If you have pip, just run:pip install setuptools
pip install wheel
pip install twineInstallationClone this repo to your local machine using:git clone https://github.com/marco-112358/primeiropacotepypi_10_22.gitFeaturesFile structure for PyPI packagesSetup with package informationsLicense example
Package: primelab
Numerical differentiation methods for python, including:Symmetric finite difference schemes using arbitrary window size.Savitzky-Galoy derivatives of any polynomial order with independent left and right window parameters.Spectral derivatives with optional filter.Spline derivatives of any order.Polynomial-trend-filtered derivatives generalizing methods like total variational derivatives.These examples are intended to survey some common differentiation methods. The goal of this package is to bind these common differentiation methods to an easily implemented differentiation interface to encourage user adaptation.Usage:fromprimelabimportdxdtimportnumpyasnpt=np.linspace(0,2*np.pi,50)x=np.sin(x)# Finite differences with central differencing using 3 points.result1=dxdt(x,t,kind="finite_difference",k=1)# Savitzky-Golay using cubic polynomials to fit in a centered window of length 1result2=dxdt(x,t,kind="savitzky_golay",left=.5,right=.5,order=3)# Spectral derivativeresult3=dxdt(x,t,kind="spectral")# Spline derivative with smoothing set to 0.01result4=dxdt(x,t,kind="spline",s=1e-2)# Total variational derivative with regularization set to 0.01result5=dxdt(x,t,kind="trend_filtered",order=0,alpha=1e-2)Project references:[1] Numerical differentiation of experimental data: local versus global methods- K. Ahnert and M. Abel[2] Numerical Differentiation of Noisy, Nonsmooth Data- Rick Chartrand[3] The Solution Path of the Generalized LASSO- R.J. Tibshirani and J. Taylor
Package: primelist
Python library encapsulating the set of all primes as an indexed collection (optimized for small primes).PurposeNative Python class that encapsulates the set of all primes as an ascending sequence. Optimizations are included for finding and generating relatively small prime numbers.Package Installation and UsageThe package is available on PyPI:python -m pip install primelistThe library can be imported in the usual way:from primelist import primelistExamplesThe library provides a static class that behaves like a list-like object that virtually contains all prime numbers:>>> 17 in primelist
True
>>> 1000000000000000000000000000 in primelist
False
>>> primelist[0]
2
>>> primelist[79905]
1019173
>>> primelist[1:6]
[3, 5, 7, 11, 13]All prime numbers up to six digits in length are loaded into memory from disk on every one of the above queries. If an expression requires a larger range of primes to succeed, additional primes are generated as necessary in ascending order (inefficiently).To maintain the list of primes in memory (both those loaded and those subsequently generated due to additional method invocations), it is possible to instead create an object. The object’s methods are the same as those of the classprimelist:>>> ps = primelist()
>>> 17 in ps
True
>>> 1000000000000000000000000000 in ps
False
>>> ps[0]
2
>>> ps[79905]
1019173
>>> ps[1:6]
[3, 5, 7, 11, 13]It is possible to use thelenfunction to obtain the number of primes that have been computed and stored so far within the object. The output below may not match exactly what you see in your environment:>>> ps = primelist()
>>> len(ps)
78498
Package: primenumbers
Using the “primenumbers” module you can:Check if a number is prime or not. By using the isprime() function. The result is returned as either True or False.SYNTAX: isprime(your_number)Example:
>>> import primenumbers
>>> primenumbers.isprime(201)
>>>FalseYou can get a list of prime numbers within a specified limit, by using the all_PrimeNumbers_within() function. The result is returned as a list of prime numbers.SYNTAX: all_PrimeNumbers_within(a_number) #(from 2)Example:
>>> import primenumbers
>>> primenumbers.all_PrimeNumbers_within(25)
>>>[2, 3, 5, 7, 11, 13, 17, 19, 23]You can use the function all_PrimeNumbers_inRange() to find prime numbers within a given range. The result is returned as a list of prime numbers.(Only available in package version 1.1.0 or later)SYNTAX: all_PrimeNumbers_inRange(start_number, end_number)Example:
>>> import primenumbers
>>> primenumbers.all_PrimeNumbers_inRange(25, 60)
>>>[29, 31, 37, 41, 43, 47, 53, 59]What New in Version: 1.1.2:Significantly Faster processingRemoved bug in which ‘1’ is being considered as a prime numbers.Removed bug in which negative numbers are being considered as a prime numbers.Keep an eye for new releases. Thank You. Feel free to mail me for improvements and suggestions atchakraborty.anubhab@gmail.com.
Package: primeNumbersEIPCarvillac
PrimeNumbersEIPCarvillacThis program returns all the primes numbers from 1 to a number by parameterHow to useExamples:primes_py(10)   (It returns the primes number from 1 to 10)primes_py(20)   (It returns the primes number from 1 to 20)LicenseThis program is free software: you can redistribute it and /or modify it under the termns of the GNU General Public License as published by the Free Software Foundation, either version 3 of License,
or (at your option) any later version.
Package: primenumbersfunction
En este paquete se incluye una funciÃ³n para determinar todos los nÃºmeros primos entre 1 y el nÃºmero dado como argumento.
This program 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.This program 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.
Package: primenumbersrangeckage
primenumbersrangepackageDescription.The package primenumbersrangepackage is used to:- Set a minimum number
- Set a maximum number
- Find prime numbers in that rangeInstallationUse the package managerpipto install primenumbers"""bashpip install primenumbersrangepackage"""Usagefrom primenumbersrangepackage import minimum, maximum, find_prime_numbersminimum_number = minimum()maximum_number = maximum(minimum_number)find_prime_numbers(minimum_number, maximum_number)AuthorLucas Venicius Alves Santos
Package: prime-nums
pypi_project_nums_primosfrom prime_nums import get_prime_nums, is_prime

get_prime_nums(qt_primes=10)
# 2, 3, 5...

is_prime(10)
# False

get_gcd(33, 99, 66)
# 33

get_gcd(44, 88, 264)
# 22
Package: primenumscalc
Este es un ejemplo simple de un paquete Python. Este paquete calcula y devuelve una lista de enÃºmeros primos comprendidos entre 1 y el nÃºmero natural que deseemos.This program is free software: You can redistribute it and/or modify it under the terms of license by the Free Software Foundation, either version 3 of the License(at your option) any other version.
Package: primepackage
#PrimePackage v1.1.4#to install pip install primepackage#import primepackage#This package defines primes as solutions to the riemann hypothesis. therefore all prime products are also treated as primes i.e 3*5 = 15 15v is a prime product and therefore treated as prime#FUNCTIONS
randomprime()
primelist()
riemannlist()
isprime()
isriemann()#to calculate a random prime = primepackage.randomprime(seed) seed can be left empty but will return a value less than 589.#if a seed is passed into randomprime() it is possible to calculate larger prime values.#primelist() returns a list of prime numbers package.primelist(start, end) returns a list of primes from the start and up to the end#riemannlist() works as primelist does#isprime() and isriemann() return a boolean value for if the number is a prime/prime product or Riemann non trivial zero (rounded to the nearest integer)#NEW FUNCTIONSfirstquadprime(start,end, n)returns a list of first quadrant primes between the start and end values that are on the plane nfourthquadprime(start, end, n)returns a list of fourth quadrant primes between the start and end values that are on the plane nsuperprime(start, end, n)returns a list of super primes between the start and end values that are on the plane nsubprime(start, end, n)returns a list of sub primes between the start and end values that are on the plane nsuperfirstprime(start, end, n)returns a list of super first quadrant primes between the start and end values that are on the plane nsuperfourthprime(start, end, n)returns a list of super fourth quadrant primes between the start and end values that are on the plane nsubfirstprime(start, end, n)returns a list of sub first quadrant primes between the start and end values that are on the plane nsubfourthprime(start, end, n)returns a list of sub fourth primes between the start and end values that are on the plane naprime(index, quadrant, position,plane)returns a single prime of a specified index, on a specfied quadrant 1 or 4, in a given position super, or sub on plane from 2 onwards.
Package: primepastalib
Makes the necessary changes to your django files and deploys them to heroku.Usage:from primepastalib import herokuLogin, djangoDeploy#projectName is the name of your django project, and appName is the name that you’d your heroku app to have.#adds the required files and makes changes to the settings.py file, and deploys them to heroku. Make sure you’re logged in. Heroku will choose a name for the app.djangoDeploy(‘projectName’)#Does the same as above, except the name you pass will be used for the app.djangoDeploy(‘projectName’, ‘appName’)#You can also login to heroku by running the following: (It is recommended that you log into the heroku CLI yourself.)herokuLogin()