cantera | Chemical kinetics , thermodynamics , and transport tool suite | Dataset library

 by   Cantera C++ Version: 3.0.1 License: Non-SPDX

kandi X-RAY | cantera Summary

kandi X-RAY | cantera Summary

cantera is a C++ library typically used in Artificial Intelligence, Dataset applications. cantera has no bugs, it has no vulnerabilities and it has low support. However cantera has a Non-SPDX License. You can download it from GitHub.

Chemical kinetics, thermodynamics, and transport tool suite
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              cantera has a low active ecosystem.
              It has 463 star(s) with 308 fork(s). There are 42 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 63 open issues and 672 have been closed. On average issues are closed in 136 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cantera is 3.0.1

            kandi-Quality Quality

              cantera has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              cantera 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.

            kandi-Reuse Reuse

              cantera releases are available to install and integrate.

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            cantera Key Features

            No Key Features are available at this moment for cantera.

            cantera Examples and Code Snippets

            No Code Snippets are available at this moment for cantera.

            Community Discussions

            QUESTION

            Python: How to get all the replies to Tweets from a Twitter account?
            Asked 2021-Jun-14 at 18:25

            I'm getting all the Tweets that I need from a Twitter account. More than 200 Tweets; for example 500, 600, ...

            I'm using the Tweepy library to help me to do this with Python, and I have created this object to do this.

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:22

            From the documentation for Twitter's standard search API that Tweepy's API.search uses:

            Keep in mind that the search index has a 7-day limit. In other words, no tweets will be found for a date older than one week.

            https://developer.twitter.com/en/docs/twitter-api/v1/tweets/search/guides/standard-operators also says:

            The Search API is not a complete index of all Tweets, but instead an index of recent Tweets. The index includes between 6-9 days of Tweets.

            Source https://stackoverflow.com/questions/67975104

            QUESTION

            Can we modify the solution vector between integrations steps with scipy.integrate.ode, using VODE?
            Asked 2021-Jun-07 at 13:06

            I am trying to get a solution for a stiff ODE problem where at each integration step, i have to modify the solution vector before continuing on the integration. For that, i am using scipy.integrate.ode, with the integrator VODE, in bdf mode. Here is a simplified version of the code i am using. The function is much more complex than that and involve the use of CANTERA.

            ...

            ANSWER

            Answered 2021-Jun-07 at 13:06

            For those getting the same problem, the issue lies in the Fortran wrapper from Scipy.

            My solution was to change the package used, from ode to solve_ivp. The difference is that solve_ivp is entirely made with Python, and you will be able to hack your way through the implementation. Note that the code will run slowly compared to the vode link that the other package used, even though the code is very well written and use numpy (basically, C level of performances whenever possible).

            Here are the few steps you will have to follow.

            First, to reproduce the already working code :

            Source https://stackoverflow.com/questions/67505932

            QUESTION

            Solver does the integration without calling the derivative callback function
            Asked 2021-May-16 at 18:49

            I have a python code (example from Cantera.org) that uses scipy.integrate.ode to solve a system of ODE. The code works fine and the results are reasnoable. However, I noticed something about the ode solver that does not make sense to me.

            I have a put a print function inside (print("t inside ODE function", t)) the function the calculates the derivative vector (__call__(self, t, y)), and outside that function in the while loop (print("t outside ODE function", solver.t);). I expect that inside print has to be called when the solver does the time integration, and then the outside print is called. In other words, two "t outside ODE function" cannot appear right after another without "t inside ODE function" in between. However, this occurs in some of iterations in the while loop, which mean the solver does the integration without calculating the derivatives.

            I am wondering how this is possible

            ...

            ANSWER

            Answered 2021-May-16 at 18:49

            The solver has an adaptive step size. Which means that it proceeds in internal steps that are adapted to the given error tolerances. In the segment from one step point to the next, the solution values get interpolated. Thus it can happen that a sequence of the external steps of the time loop falls into the same internal segment. If you set the error tolerances to smaller levels as the default ones, it can happen that the situation reverses, that several internal steps are required per external value request.

            Source https://stackoverflow.com/questions/67559246

            QUESTION

            Multiple ARIMA and VECM by group
            Asked 2019-Dec-04 at 08:49

            I want to perform multiple ARIMA and VECM at the same time.

            Specifically, I want a time series for every "Sector", which goes from 2007Q1 to 2018Q4.

            I tried to do it with a for loop but it is not working properly.

            Is there a specific function to create this kind of result?

            Data

            ...

            ANSWER

            Answered 2019-Dec-04 at 08:49

            You can make use of the code below which transforms your dataset into a tidy format, creates a function for an arima model and then iterates all the existing series. You can add a VECM to that function or change the model inside the function.

            Source https://stackoverflow.com/questions/59169599

            QUESTION

            dictionary with counter dictionary (multiple keys) as a 2 column dataframe
            Asked 2018-Dec-15 at 04:39

            I have a dictionary of bigrams, which was created as

            ...

            ANSWER

            Answered 2018-Dec-15 at 04:39

            I'd do something like this:

            Source https://stackoverflow.com/questions/53771601

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

            Vulnerabilities

            No vulnerabilities reported

            Install cantera

            You can download it from GitHub.

            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 .
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            Install
          • PyPI

            pip install Cantera

          • CLONE
          • HTTPS

            https://github.com/Cantera/cantera.git

          • CLI

            gh repo clone Cantera/cantera

          • sshUrl

            git@github.com:Cantera/cantera.git

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