Circuity | Minecraft mod providing a low-level framework | Video Game library

by fnuecke Java Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Circuity Summary

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

Protoyping for Circuity, a Minecraft mod providing a low-level framework for computer emulation.

Support

Quality

Security

License

Reuse

Support

Circuity has a low active ecosystem.

It has 11 star(s) with 0 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 3 have been closed. On average issues are closed in 50 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Circuity is current.

Quality

Circuity has no bugs reported.

Security

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

License

Circuity 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

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

Handle a draw block highlight event
Map the hit vector
Setup the internal state matrix
Deserialize an object
Returns the constructor of the given class
Receive notification of the entity
Adds a component
Add an interrupt source to the bus
All ids into an array of int ids
Resets this object
Update the C0 status
Re - subscribe component
Render the tile entity at the given location
Receive notification of a message
Render a tile entity at the specified location
Load lines into memory
Serialize an object
Removes a bus element
Handle activation of a player event
Validates the configuration
Apply the layout
Overrides the default implementation of the draw screen
Deserialize the given object
Handle a client tick event
Request interrupting thread
Deserialize an object to a given class

Get all kandi verified functions for this library.

Circuity Key Features

No Key Features are available at this moment for Circuity.

Circuity Examples and Code Snippets

No Code Snippets are available at this moment for Circuity.

Community Discussions

Trending Discussions on Circuity

Reactive app help in Shiny

Shiny app multiple regression

How to group by trip id and find the straight distance traveled?

QUESTION

Reactive app help in Shiny

Asked 2018-Apr-30 at 11:12

library(shiny)
ui <- fluidPage(

# Application title
titlePanel("Linear model DARP"),
sidebarLayout(
sidebarPanel(
  selectInput('ycol', 'Select a resonse variable', names(df_ln)[c(12,13,14)],
              selected=names(df_ln)[[1]]),
  sliderInput(inputId = "area",
              "select the service region area(km^2):",
              min= 170,
              max= 8000,
              value=1001),
  sliderInput(inputId = "crit..peak",
              label="Choose Peak demand(Requests):",
              min=10,
              max=150,
              value=40),
  sliderInput(inputId ="Speed",
              label = "Please selct you average Speed(mph):",
              min=10,
              max=50,
              value = 15)
),


mainPanel(
  tableOutput("table"),
  h5('The data shows the fleetsize required for your selection of input variables')
   )
  )
)
 df_ln<-read.csv("F:/Project/Programme/ML/DAR Machine Learning TR Part 
 A/train_darp_ln.csv")
 server <- function(input, output) {

  output$table <- reactive({
renderTable({

Linearmodel_DARP<-lm(input$ycol~area+crit..peak+speed,data = df_ln)
new_demand<-data.frame(area=input$area,crit..peak=input$crit..peak,speed=input$Speed)

fleetsize<-predict(Linearmodel_DARP,newdata=new_demand)
round(exp(fleetsize),0)

    })
     })

         }

        # Run the application 
        shinyApp(ui = ui, server = server)

...

ANSWER

Answered 2018-Apr-30 at 11:12

There are at least two errors:

output$table <- reactive({renderTable...... -> remove the reactive.
in lm(input$ycol~....., the input$ycol is a character string, that cannot work; replace with lm(df_ln[[input$ycol]] ~ ....

After doing these two modifications, I get the following app. Is it what you want?

Source https://stackoverflow.com/questions/50075674

QUESTION

Shiny app multiple regression

Asked 2018-Apr-24 at 16:11

library(shiny)


ui <- fluidPage(

  titlePanel("Linear model DARP"),


  sidebarLayout(
  sidebarPanel(

     sliderInput(inputId = "area",
                 "select the service region area:",
                 min= 170,
                 max= 8000,
                 value=1001),
     sliderInput(inputId = "crit..peak",
                 label="Choose Peak demand:",
                 min=10,
                 max=150,
                 value=39)
  ),


  mainPanel(
     tableOutput("table")
  )
  )
  )


server <- function(input, output) {

   output$table <- renderTable({

    df_ln<-read.csv("F:/Project/Programme/ML/DAR Machine Learning TR Part A/train_darp_ln.csv")
Linearmodel_DARP<-lm(veh~area+crit..peak,data = df_ln)
 new_demand1<-data.frame(area=input$area)
 new_demand2<-data.frame(crit..peak=input$crit..peak
 fleetsize<-predict(Linearmodel_DARP,newdata=c(new_demand1,new_demand2))
 round(exp(fleetsize),0)
})
}

...

ANSWER

Answered 2018-Apr-24 at 16:11

Ok, so your problem is probably due to the way you try to make your new data frame. You made two separate 1 dimensional data frames and then concatenated them, which generated a list of dataframes. To make a data frame with two or more variables, define them in your data frame definition or use cbind to join the data frames together:

Source https://stackoverflow.com/questions/50002910

QUESTION

How to group by trip id and find the straight distance traveled?

Asked 2017-May-15 at 15:16

I have the following data :

...

ANSWER

Answered 2017-May-15 at 15:16

UPDATE:

you may want to convert your values to numeric dtypes first:

Source https://stackoverflow.com/questions/43981199

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

Vulnerabilities

No vulnerabilities reported

Install Circuity

You can download it from GitHub.
You can use Circuity 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 Circuity 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 .

Find more information at: