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tr069-simulator | Java based TR069 Agent Simulator

 by   paraam Java Version: Current License: MIT

 by   paraam Java Version: Current License: MIT

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kandi X-RAY | tr069-simulator Summary

tr069-simulator is a Java library typically used in Simulation applications. tr069-simulator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
this is a java based tr069 simulator for cpe devices. currently this simulator supports <a href="http://www.broadband-forum.org/cwmp/cwmp-1-0.xsd">cwmp-1-0.xsd</a> schema. jibx tool has been used to bind the schema file into java classes. this simulator can support different type of cpe devices. also you can simulate hundreds of devices using the same instance. <b>how to use:</b><br> to run this simulator,<br> 1. download the project and unzip it to a suitable location.<br> 2. modify the agent.csv configuration file available in the root directory.<br>. <b>agent.csv</b> file is the csv configuration file that contains the following:<br> <div class="highlight"><pre> <span class="c1">startip, endip, acs_url, conn_req_url, http_port, periodic_inform, dump_location, username, password, authtype</span> <span class="kd">192.168.1.111, 192.168.1.120, http://tr069.me/tr069/ws?wsdl&probe=257ebf, /wsdl, 8035, 300, /dump/microcell/, user1, passwd1, basic</span> <span class="kd">192.168.2.211, 192.168.2.220, http://tr069.me/tr069/ws?wsdl&probe=257ebf, /wsdl, 8035, 300, /dump/microcell/, user1, passwd1, basic</span> </pre></div> start ipaddress <br> end ipaddress<br> acs server url<br> connection request url<br> http port<br> period inform interval<br> dump location path<br> username<br> password<br> authtype<br>. you can modify these parameter according to your requirements. to simulate multiple cpe devices, provide the start and<br> end ipaddress. periodic inform interval is in
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • tr069-simulator has a low active ecosystem.
  • It has 38 star(s) with 28 fork(s). There are 6 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 2 open issues and 0 have been closed. On average issues are closed in 1997 days. There are 3 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of tr069-simulator is current.
tr069-simulator Support
Best in #Java
Average in #Java
tr069-simulator Support
Best in #Java
Average in #Java

quality kandi Quality

  • tr069-simulator has 0 bugs and 0 code smells.
tr069-simulator Quality
Best in #Java
Average in #Java
tr069-simulator Quality
Best in #Java
Average in #Java

securitySecurity

  • tr069-simulator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • tr069-simulator code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
tr069-simulator Security
Best in #Java
Average in #Java
tr069-simulator Security
Best in #Java
Average in #Java

license License

  • tr069-simulator is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
tr069-simulator License
Best in #Java
Average in #Java
tr069-simulator License
Best in #Java
Average in #Java

buildReuse

  • tr069-simulator 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.
  • tr069-simulator saves you 2381 person hours of effort in developing the same functionality from scratch.
  • It has 5193 lines of code, 686 functions and 150 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
tr069-simulator Reuse
Best in #Java
Average in #Java
tr069-simulator Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed tr069-simulator and discovered the below as its top functions. This is intended to give you an instant insight into tr069-simulator implemented functionality, and help decide if they suit your requirements.

  • Returns a CPEDB reader for the getters request .
    • Do the get parameter attributes request and return the envelope .
      • Run the CPE .
        • Parse the contents of a CPE file .
          • Convert an object to an XML string .
            • Runs the download request .
              • Initialize the bootstrap
                • Get a Resource API for a resource
                  • Returns a string representation of this attribute .
                    • Provide the http__ port .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      tr069-simulator Key Features

                      Java based TR069 Agent Simulator

                      tr069-simulator Examples and Code Snippets

                      No Code Snippets are available at this moment for tr069-simulator.

                      See all Code Snippets related to Java

                      Community Discussions

                      Trending Discussions on Simulation
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                      Trending Discussions on Simulation

                      QUESTION

                      How to generate a negative binomial distribution with different sample sizes for power analyses in R?

                      Asked 2022-Apr-14 at 12:54

                      I try to do a power simulation with an outcome variable that is zero-inflated. So I use a negative binomial distribution. What I need is the following distribution:

                      library(tidyverse)
                      set.seed(123)
                      rt_random <- 
                      rnbinom(n = 2000, mu = 25, size = .9) 
                      qplot(rt_random)
                      

                      desired distribution

                      Now, I tried to create a function where I can use different sample sizes for the power simulation. I use the pmapfunction for this. However this does not seem to work. The final distribution is not zero-inflated at all and the mean is not close to the defined mean:

                      generate_distribution <- function(n, mus, sizes){
                        tibble(n = n, 
                             t_mu = mus, 
                             t_size = sizes)%>% 
                        mutate(rt = pmap(list(n, t_mu, t_size),
                                           ~rnbinom(..1, ..2, ..3))) %>% 
                        unnest(rt) 
                        
                      }
                      set.seed(123)
                      rt_df <- 
                        generate_distribution(n = 2000,
                                              mus = 25,
                                              sizes = .9)
                      qplot(rt_df$rt)
                      

                      wrong distribution

                      Is there an easy way to change my code so that I get the desired distribution?

                      ANSWER

                      Answered 2022-Apr-14 at 12:54

                      The problem is that in your lambda function, you are not using the argument names for rnbinom. The default order for the arguments if you don't name them is n, size, prob, mu, so you are passing 2000 to n, 25 to size and 0.9 to prob. Just name the arguments explicitly as you did in your first example, and your code will work.

                      generate_distribution <- function(n, mus, sizes){
                        tibble(n = n, 
                             t_mu = mus, 
                             t_size = sizes)%>% 
                        mutate(rt = pmap(list(n, t_mu, t_size),
                                           ~rnbinom(n = ..1, mu = ..2, size = ..3))) %>% 
                        unnest(rt) 
                      }
                      
                      set.seed(123)
                      rt_df <- 
                        generate_distribution(n = 2000,
                                              mus = 25,
                                              sizes = .9)
                      qplot(rt_df$rt) 
                      

                      enter image description here

                      Source https://stackoverflow.com/questions/71871538

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install tr069-simulator

                      You can download it from GitHub.
                      You can use tr069-simulator like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the tr069-simulator component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      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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