precice | coupling library for partitioned multi

by precice C++ Version: v2.5.0 License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | precice Summary

precice is a C++ library typically used in Simulation applications. precice has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

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Support

precice has a low active ecosystem.

It has 547 star(s) with 150 fork(s). There are 36 watchers for this library.

It had no major release in the last 12 months.

There are 157 open issues and 527 have been closed. On average issues are closed in 233 days. There are 30 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of precice is v2.5.0

Quality

precice has no bugs reported.

Security

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

License

precice is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

precice releases are available to install and integrate.

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precice Key Features

No Key Features are available at this moment for precice.

precice Examples and Code Snippets

No Code Snippets are available at this moment for precice.

Community Discussions

Trending Discussions on precice

Python / Tkinter grid_rowconfigure issue between versions

Extraction of all space free strings

How to run a linear regression by row and fill data only in elements with NA in R?

How can I fit a model with different intercepts?

How to change mainwindow's color to a specific color in pyqt/pyside?

Zooming/scaling a tiled image anchoring the zoom point to the mouse cursor

QUESTION

Python / Tkinter grid_rowconfigure issue between versions

Asked 2021-May-21 at 01:11

Working with some samples I encountered strange behaviour in Python 3.9.
grid_rowconfigure did not expand rows as i would expect it to.

Unfortunately looking for an already reported bug inside either Python3.9.2 or Tk8.6 lead nowhere.
Please find below the reproduction code.

...

ANSWER

Answered 2021-May-21 at 01:11

Since you did not pass *args and **kwargs to super().__init__(), i.e. did not pass the parent argument, ScrolledTree will be put in root window instead of ScrolledFilterTree frame in Python 3.

Add back *args and **kwargs to super().__init__() will fix the issue.

Source https://stackoverflow.com/questions/67629340

QUESTION

Extraction of all space free strings

Asked 2019-Dec-14 at 02:01

The trial script shown below aims at extracting the space free strings from a text file F and passing them in the order found to a result file Fr where they are set one per line. Overall it works fine, except on the ends of lines where there might be a skipped line in the result file, except that I don't know if it is a script that stops properly, and except that, worst of all, it takes for ever to do its job.

...

ANSWER

Answered 2019-Dec-13 at 13:32

Your current script seems overly complicated. You could simplify it as (pseudocode):

Source https://stackoverflow.com/questions/59319204

QUESTION

How to run a linear regression by row and fill data only in elements with NA in R?

Asked 2018-Oct-06 at 15:57

I have a data frame containing data on population densities in cities dependent on the distance to the city center ('spatial distance profiles').

The dataframe looks like this (example):

...

ANSWER

Answered 2018-Oct-06 at 15:57

Assuming that the objective is to fill in the NA values using a linear regression of the non-NA values on the same line vs. the digit in the heading, first extract the numeric values in the column names forming x. Then define a function which regresses the row values against x and predicts the NAs from that. Finally apply it to each row.

Source https://stackoverflow.com/questions/52649781

QUESTION

How can I fit a model with different intercepts?

Asked 2017-Aug-04 at 12:15

I am reading a book and following along with examples. Currently, I am looking at a problem involving this data

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ANSWER

Answered 2017-Aug-03 at 19:22

Two intercepts is equivalent to a true intercept and a binary variable.

All you have to do is say that $\text{gender}$ is a binary variable: 0 for male, 1 for female. You will fit the model: $$\text{weight}=\alpha+\beta_1\text{gender}+\beta_2\text{age}$$

Then $\alpha$ is the intercept for male, $\alpha+\beta_1$ is the intercept for female.

Source https://stackoverflow.com/questions/45506599

QUESTION

How to change mainwindow's color to a specific color in pyqt/pyside?

Asked 2017-Mar-25 at 04:29

I want a light blue color in my application, precicely #99ccff in html color codes. In my application, I have:

...

ANSWER

Answered 2017-Mar-25 at 04:29

Use:

Source https://stackoverflow.com/questions/43012495

QUESTION

Zooming/scaling a tiled image anchoring the zoom point to the mouse cursor

Asked 2017-Mar-09 at 19:47

I've got a project where I'm designing an image viewer for tiled images. Every image tile is 256x256 pixels. For each level of scaling, I'm increasing the size of each image by 5%. I represent the placement of the tiles by dividing the screen into tiles the same size as each image. An offset is used to precicely place each image where needed. When the scaling reaches a certain point(1.5), I switch over to a new layer of images that altogether has a greater resolution than the previous images. The zooming method itself looks like this:

...

ANSWER

Answered 2017-Mar-09 at 19:47

How the program works:

I apologize that I didn't have enough time to apply this to your code, but I wrote the following zooming simulator. The program allows you to zoom the same "image" multiple times, and it outputs the point of the image that would appear in the center of the screen, along with how much of the image is being shown.

The code:

Source https://stackoverflow.com/questions/42699635

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

Vulnerabilities

No vulnerabilities reported

Install precice

You can download it from GitHub.

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