legendre | Get control of your zombie EC2 instances | Game Engine library

by launchdarkly-labs Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | legendre Summary

legendre is a Python library typically used in Gaming, Game Engine, Unity applications. legendre has no bugs, it has no vulnerabilities, it has build file available and it has low support. However legendre has a Non-SPDX License. You can download it from GitHub.

Get control of your zombie instances.

Support

Quality

Security

License

Reuse

Support

legendre has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

legendre has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of legendre is current.

Quality

legendre has no bugs reported.

Security

legendre has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

legendre has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

legendre releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed legendre and discovered the below as its top functions. This is intended to give you an instant insight into legendre implemented functionality, and help decide if they suit your requirements.

Notify about dead instances
Find stale app instances
List all running instances
Find named instances
Find problematic instances
Get the expected SHA for a given tier
Notify a zombie instance
Uploads a lambda function
Create IAM role
Get VPC configuration

Get all kandi verified functions for this library.

legendre Key Features

No Key Features are available at this moment for legendre.

legendre Examples and Code Snippets

Compute the Gower - Legendre .

python

Lines of Code : 21

License : No License

Copy

def Gower_Legendre(original, test, absent=0, type='Set'):
    """
    Gower and Legendre coefficient for nominal or ordinal data.
    
    Coefficient: M{(A + D) / ((0.5 * (B + C)) + A + D)}
        
    @param original: list of original data
    @pa

Community Discussions

Trending Discussions on legendre

Change size of legend in ggplot2

Implementing composite Gauss quadrature in Python

Matlab code about polynomial interpolation using legendre nodes giving error

Recursive polynomial

Custom interpolation / minimization function (aka curve fitting) any library

Numerical integration with scipy.integrate.quad_vec and Tensorflow

Legendre Polynomials Python

How do I get the function which transforms an input to be the argument of a Legendre polynomial when using numpy.polynomial.legendre?

applying function to array

Fast Algorithm to Factorize All Numbers Up to a Given Number

QUESTION

Change size of legend in ggplot2

Asked 2021-Jun-01 at 10:17

This code:

...

ANSWER

Answered 2021-Jun-01 at 10:17

add this in your theme : +theme(axis.text=element_text(size=20), legend.text = element_text(size=10)) but do know there are several options for core text, titles, etc. This page lists the options : https://www.statology.org/ggplot2-legend-size/

Source https://stackoverflow.com/questions/67786929

QUESTION

Implementing composite Gauss quadrature in Python

Asked 2021-May-03 at 19:27

I want to implement the composite Gaussian quadrature in Python to evaluate the integral ∫₀¹ e^x² dx. Evaluting this using Python's quad command, I get ∫₀¹ e^x² dx ≈ 1.46

Below is my attempt at implementing this in Python. What I expect is that as n gets larger, the closer the quadrature gets to the 'real' integral. However, as I vary n, the results gets smaller and smaller. What mistake am I making?

...

ANSWER

Answered 2021-May-03 at 19:27

Here is the working code based on your attempt:

Source https://stackoverflow.com/questions/67285760

QUESTION

Matlab code about polynomial interpolation using legendre nodes giving error

Asked 2021-Mar-08 at 10:25

I am trying to plot the polynomial interpolation using legendre nodes by solving the system of linear equations (which gives the Vandermonde matrix). I'm doing this for j = 5, 7, 9,...,35. Here is my code :

...

ANSWER

Answered 2021-Mar-08 at 10:25

Your coeff_vector_3 is still symbolic, since you used vpasolve. To pass them to polyval, convert them to doubles first.

Source https://stackoverflow.com/questions/66515752

QUESTION

Recursive polynomial

Asked 2020-Nov-13 at 22:40

I'm working on calculation of Legendre Polynomial on GPU.

Briefly, Recursive Legendre Polynomial is computing the n-th order by (n-1)th and (n-2)th order. We divide the x into k (let's say k=23) parts to compute polynomial and do a summation, which would be more precise.

So my kernel goes below.

First, we create a k * width array.

...

ANSWER

Answered 2020-Oct-01 at 16:42

As has been pointed out, CUDA makes no statements about the order of thread execution. However you have a number of points in your calculation sequence where you expect a previous line of code has been completed in its entirety, across the entire grid, in order for the next section of your code to be correct.

Generally the nature of CUDA parallel thread execution means that such dependencies lead to incorrect/broken code.

I haven't tried to fully realize your algorithm in an optimal way, but to demonstrate the proof of this, I have broken up your kernel code in such a way that such dependencies are made "correct" through the use of the kernel-call boundary, which is effectively a global sync. This is probably one way to sort out your problem, as indicated in the comments.

Here's an example. I'm not going to try to detail each change, but by breaking it up this way I believe I have satisfied the dependencies expected using your approach. I have not fully verified anything, but a quick check suggests the output seems to match your matlab output:

Source https://stackoverflow.com/questions/64128162

QUESTION

Custom interpolation / minimization function (aka curve fitting) any library

Asked 2020-Sep-26 at 09:32

I usually work with ROOT and its powerful MINUIT interpolation classes in a C++ environment. For reason related to plotting and ease of data handling, I switched recently to Python 3.8. The problem is that I can't find a library that allows me to set my custom interpolation function (1D by now, multivariate in the future)! Scipy and Pandas have preset methods, and I am not aware of other libraries for interpolation. It seems to me quite impossible, therefore I ask you!

What I need to reproduce is something that sounds like this in ROOT:

DEFINITION OF THE INTERPOLATING FUNCTION

...

ANSWER

Answered 2020-Sep-25 at 20:14

I would suggest using iminuit. You'd need to rearrange your C++ syntax to iminuit's Python syntax, but from there on, it's a minimal change because it is MINUIT.

(LMFIT also looks promising, but since you're already using MINUIT, it would be a smoother transition to iminuit.)

Source https://stackoverflow.com/questions/64067677

QUESTION

Numerical integration with scipy.integrate.quad_vec and Tensorflow

Asked 2020-Aug-11 at 22:39

I am trying to apply code from the question answer taken from: Use scipy.integrate.quad with Tensorflow to my problem. For more simplicity - I want to integrate three 2D arrays containing Legendre polynomials of the 1st, 2nd and 3rd degrees, respectively.

...

ANSWER

Answered 2020-Aug-11 at 22:39

Ok based on your update to the question, here's the code that hopefully works for you (tested). I've omitted 'i' and the integration goes from 0.0 ... 10.0 but you can modify to include that. The main idea is that if you want to use the tensor's value in a python function, you first need to convert it to its value by the numpy() method.

Source https://stackoverflow.com/questions/63327286

QUESTION

Legendre Polynomials Python

Asked 2020-Aug-09 at 22:35

I am trying to calculate the 720th Legendre polynomial with scipy:

...

ANSWER

Answered 2020-Aug-09 at 22:35

It's probably a float overflow error. If you use the monic keyword of the legendre function you get non-nan coefficients:

Source https://stackoverflow.com/questions/63331349

QUESTION

How do I get the function which transforms an input to be the argument of a Legendre polynomial when using numpy.polynomial.legendre?

Asked 2020-Jul-27 at 21:30

# import packages we need later
import matplotlib.pyplot as plt
import numpy as np

...

ANSWER

Answered 2020-Jul-27 at 19:20

By looking at those numbers I realized I can construct them from math.

1/(len(curve1)-1)*2, ie 1/39*2 returns: 0.05128205128205128

1+1/(len(curve1)-1)*2 ie 1+1/39*2 returns: `1.05

Which are the numbers we were looking for.

I still don't know how it is displayed when executing legendrefit_curve1 in a Jupyter Notebook cell, but that is less of the point.

I don't know why the formula above works, it'll probably be a question on math.stackexchange.com.

Source https://stackoverflow.com/questions/63120942

QUESTION

applying function to array

Asked 2020-Jul-18 at 06:02

Python newbie here, I'm struggling to find the right idiom for applying a function over an array.

I want to compute an associated Legendre polynomial from -1 to 1,

...

ANSWER

Answered 2020-Jul-18 at 06:02

It's simpler than that, and I don't think there's a reason to use enumerate. The following code should suffice:

Source https://stackoverflow.com/questions/62964798

QUESTION

Fast Algorithm to Factorize All Numbers Up to a Given Number

Asked 2020-Jul-10 at 12:08

I am looking for an algorithm that could factorize numbers based on numbers it already factorized. In other words, I am searching for a fast algorithm to factorise all numbers up to a given number, and store them in a (I guess this is the easiest data structure to use) list / tuple of tuples. I am looking for an "up to n" algorithm because I need all numbers up to "n", and I guess it's faster than just checking one by one.

I want this algorithm to work within a reasonable time (less than an hour) for 2*10^8, for a program I am running. I have tried one of the more naive approaches in python, finding all primes up to "n" first, and then for each number "k" finding it's prime factorization by checking each prime until one divides it (we will call it p), then it's factorization is the factorization of k/p + p.

...

ANSWER

Answered 2020-Jul-03 at 16:12

You can use the first part of your script in order to do that!

Code:

Source https://stackoverflow.com/questions/62698250

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install legendre

You can download it from GitHub.
You can use legendre like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: