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The dns.resolveTxt() method uses the DNS protocol to resolve the text queries (TXT Records) for the hostname. The addresses argument passed to the callback function is a two-dimensional array that contains the array of text records available for the hostname.Syntaxdns.resolveTxt(hostname, callback)Parametershostname – This parameter takes input for hostname to be resolvedcallback – This function will catch errors, if any.records – Returns TXT records for the hostname.Example 1Create a file with the name "resolveTxt.js" and copy the below code snippet. After creating file use the command "node resolveTxt.js" to run this code.// dns.resolveTxt() Demo Example // Importing the dns module ... Read More
process.report is an object whose methods generate the diagnostic reports for the current process. It is found under the process module.Syntaxprocess.reportExample 1Create a file with the name "report.js" and copy the following code snippet. After creating the file, use the command "node report.js" to run this code.// process.report Demo Example // Importing the process module const process = require('process'); // Getting reports for the below processes const reports = process.report; // Printing out the result console.log(reports)OutputuC:\homeode>> node report.js { writeReport: [Function: writeReport], getReport: [Function: getReport], directory: [Getter/Setter], filename: [Getter/Setter], compact: [Getter/Setter], ... Read More
Shift reduce parser is a type of bottom-up parser. It uses a stack to hold grammar symbols. A parser goes on shifting the input symbols onto the stack until a handle comes on the top of the stack. When a handle occurs on the top of the stack, it implements reduction.There are the various steps of Shift Reduce Parsing which are as follows −It uses a stack and an input buffer.Insert $ at the bottom of the stack and the right end of the input string in Input Buffer.Shift: Parser shifts zero or more input symbols onto the stack until ... Read More
The dns.resolveNs() method uses the DNS protocol to resolve the nameserver records (NS Records) for the hostname. The addresses argument passed to the callback function will contain an array of nameserver records for the hostname.Syntaxdns.resolveNs(hostname, callback)ParametersThe above parameters are defined as below −hostname – This parameter takes input for the hostname to be resolved.callback – This function will catch errors, if any.records – Returns the nameserver (NS) records for the hostname.Example 1Create a file "resolveNs.js" and copy the following code snippet. After creating the file, use the command "node resolveNs.js" to run this code:// dns.resolveNs() Demo Example // Importing ... Read More
The process.connected property returns True if an IPC channel is connected and will return False after the process.disconnect() method is called. This happens only when the node process is spawned with an IPC channel (i.e., Child process and Cluster).Once the process.connected property is false, no messages can be sent over the IPC channel.Syntaxprocess.connectedExample 1Create two files "parent.js" and "child.js" as follows −parent.js// process.connected Property Demo Example // Importing the child_process modules const fork = require('child_process').fork; // Attaching the child process file const child_file = 'util.js'; // Spawning/calling child process const child = fork(child_file);child.jsconsole.log('In Child') // Check ... Read More
To create a data.table object of combination of correlation coefficients, we first need to find the correlation matrix then the combination of variables for which the correlation matrix is created then data.table will be used to combine the combination of variables and the correlation coefficients.Check out the below Examples to understand how it can be done.Example 1Following snippet creates a sample data frame −x1
Sometimes we have a large number of columns in the data frame and we know the name of some columns but among known ones some does not exist in the data frame. Now if we want to select the columns that we know and skip the ones that do not exist then we can use the subsetting.For Example, if we have a data frame called df that contains twenty columns and we believe that x, y, z exists in df but z is not there in reality. Now the selection of columns x, y, z that will skip z can ... Read More
Suppose we have a vector say V that contains five elements and a matrix say M that has five columns. Now again, suppose that we want to divide each column in M by corresponding value in vector V, which means first column in M will be divided by first value in the V and so on then we can use the sweep function as shown below −sweep(M,2,V,FUN="/")Example 1Consider the below matrix and vector −M1
Payback is a method related to capital budgeting. The payback period in capital budgeting refers to the time required for the return on an investment (ROI) to "repay" or pay back the total sum of the original investment.Payback is a popular method of evaluation of investment because it is easy to understand and calculate regardless of what it actually means.Despite being a non-DCF evaluation method, payback is used extensively in the evaluation of investments for its simplicity in calculation and application. It is quite useful in comparing the calculation of similar investments.The payback method doesn’t have any specific criteria for ... Read More
The "discounted payback period" is a modification of the simple payback version where the time value of money is considered in the calculation. In discounted payback period calculation, different metrics are used to measure the amount of time the project will take to "break-even."In some cases, the discounted payback is measured to the point of time where the net cash flows generated from the project cover the initial cost of the project.Simple and discounted payback periods are both used to measure the profitability and feasibility of an investment project.Underlying Meaning of Discounted Payback PeriodThe discounted payback period is used to ... Read More