COBOL To Mercury Converter
Other COBOL Converters
What Is COBOL To Mercury Converter?
A COBOL to Mercury converter is an online tool that helps translate COBOL code into the Mercury programming language. It uses advanced technologies, including generative AI, machine learning (ML), and natural language processing (NLP), to facilitate code migration. This approach allows users to maintain the original functionality of their applications while transitioning to a more modern programming environment.
The conversion process consists of three main steps:
- Input: You begin by providing the COBOL code that requires conversion. This code serves as the foundation for the translation process.
- Processing: The converter then analyzes the COBOL code. During this phase, AI algorithms carefully examine the syntax and structure, ensuring all critical elements are preserved. This step is crucial as it involves interpreting the nuances of the original code to facilitate an accurate translation.
- Output: Upon completion of the analysis, the converter produces the translated Mercury code. This output is structured and formatted, allowing you to utilize it directly in your ongoing projects.
How Is COBOL Different From Mercury?
COBOL, which stands for Common Business-Oriented Language, is a procedural programming language that has been a staple in business, finance, and administrative systems for decades. Its design prioritizes clarity, making it accessible to those who may not have extensive programming backgrounds, such as business analysts. This language’s syntax tends to be more detailed, providing a roadmap that guides users through complex processes and functions in a way that feels straightforward and logical. In contrast, Mercury is a logic programming language that shifts the focus from step-by-step procedures to a more declarative approach. This allows developers to express what they want to achieve rather than detailing how to achieve it, which supports intricate data handling and logical problem-solving.
There are several key distinctions between COBOL and Mercury:
- Programming Paradigm: COBOL employs a procedural approach, where the sequence of operations is crucial. In contrast, Mercury adopts a declarative style that emphasizes the “what” instead of the “how,” making it ideal for scenarios requiring advanced logical reasoning.
- Syntax: The syntax of COBOL is verbose and deliberate, which helps users understand the code easily. Conversely, Mercury’s syntax is more compact and succinct, streamlining the expression of complex ideas but requiring a different mindset for comprehension.
- Use Cases: COBOL excels in traditional business applications, managing tasks like payroll and inventory systems. Mercury shines in environments that demand heavy logic processing, such as artificial intelligence applications and data analysis.
- Error Handling: COBOL utilizes conventional methods for detecting and handling errors, which suits its structured format. Mercury, on the other hand, leverages sophisticated logical constructs that can adaptively manage errors based on the context of the problem at hand.
| Feature | COBOL | Mercury |
|---|---|---|
| Programming Paradigm | Procedural | Declarative |
| Syntax | Verbose | Compact |
| Use Cases | Business Applications | Logical Reasoning |
| Error Handling | Traditional | Logic-Based |
How Does Minary’s COBOL To Mercury Converter Work?
The Minary COBOL To Mercury converter operates through a streamlined process that transforms your detailed task descriptions into functional code. To begin, you’ll need to enter a clear and thorough explanation of what you want the converter to generate. Specificity is key here; the more details you provide, the better the resultant code will reflect your requirements.
After you’ve filled in the details on the left side of the interface, click the “Generate” button. This action prompts the converter to process your request and produce the corresponding Mercury code. Once the code is generated, you’ll see it displayed on the right side of the screen. You can easily copy the code by clicking the “Copy” button at the bottom, making it convenient for immediate implementation.
Your experience can be further refined with the feedback options available. After reviewing the generated code, you have the ability to vote on its quality using the feedback buttons. Your responses will not only help you gauge the effectiveness of the output but will also contribute to training the COBOL To Mercury converter for future tasks, enhancing its accuracy over time.
For example, if you input, “Convert COBOL logic for reading and processing customer data into Mercury,” the generator would deliver a tailored Mercury script designed to handle just that. This ensures that the COBOL To Mercury converter aligns closely with your specific programming needs.
Examples Of Converted Code From COBOL To Mercury
PROGRAM-ID. SumEvenNumbers.
ENVIRONMENT DIVISION.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 UserLimit PIC 9(5) VALUE 0.
01 SumOfEvens PIC 9(10) VALUE 0.
01 CurrentNumber PIC 9(5) VALUE 0.
PROCEDURE DIVISION.
MAIN-PROCEDURE.
DISPLAY “Enter a limit: ” WITH NO ADVANCING.
ACCEPT UserLimit.
PERFORM VARYING CurrentNumber FROM 2 BY 2
UNTIL CurrentNumber > UserLimit
ADD CurrentNumber TO SumOfEvens
END-PERFORM.
DISPLAY “The sum of all even numbers from 1 to ” UserLimit ” is: ” SumOfEvens.
STOP RUN.
:- interface.
:- import_module io.
:- pred main(io::di, io::uo) is det.
:- implementation.
main(!IO) :-
io.write_string(“Enter a limit: “, !IO),
io.read_int(UserLimit, !IO),
( UserLimit >= 0 ->
SumOfEvens = 0,
sum_evens(2, UserLimit, SumOfEvens, ResultSum),
io.format(“The sum of all even numbers from 1 to %d is: %dn”, [i(UserLimit), i(ResultSum)], !IO)
;
io.write_string(“Please enter a non-negative limit.n”, !IO)
).
:- pred sum_evens(int::in, int::in, int::in, int::out) is det.
sum_evens(CurrentNumber, UserLimit, SumOfEvens, ResultSum) :-
( CurrentNumber > UserLimit ->
ResultSum = SumOfEvens
;
NewSumOfEvens = SumOfEvens + CurrentNumber,
NextNumber = CurrentNumber + 2,
sum_evens(NextNumber, UserLimit, NewSumOfEvens, ResultSum)
).
PROGRAM-ID. AverageHighLowCalculator.
ENVIRONMENT DIVISION.
INPUT-OUTPUT SECTION.
FILE-CONTROL.
SELECT InputFile ASSIGN TO KEYBOARD.
SELECT OutputFile ASSIGN TO PRINTER.
DATA DIVISION.
FILE SECTION.
FD InputFile.
01 InputRecord.
05 Number PIC 9(5).
FD OutputFile.
01 OutputRecord.
05 Highest PIC 9(5).
05 Lowest PIC 9(5).
05 Average PIC 9(5)V99.
WORKING-STORAGE SECTION.
01 NumCount PIC 9(3) VALUE 0.
01 TotalSum PIC 9(7) VALUE 0.
01 HighestNumber PIC 9(5) VALUE ZEROES.
01 LowestNumber PIC 9(5) VALUE 9(5) VALUE HIGH-VALUE.
PROCEDURE DIVISION.
MAIN-LOGIC.
DISPLAY “Enter a series of numbers (non-numeric to stop):”
PERFORM UNTIL InputFile-EOF
READ InputFile INTO InputRecord
AT END
MOVE ‘Y’ TO InputFile-EOF
NOT AT END
ADD 1 TO NumCount
ADD Number TO TotalSum
IF Number > HighestNumber THEN
MOVE Number TO HighestNumber
END-IF
IF Number < LowestNumber THEN
MOVE Number TO LowestNumber
END-IF
END-READ
END-PERFORM.
IF NumCount > 0 THEN
COMPUTE Average = TotalSum / NumCount
ELSE
MOVE 0 TO Average
MOVE 0 TO HighestNumber
MOVE 0 TO LowestNumber
END-IF.
MOVE HighestNumber TO OutputRecord.Highest.
MOVE LowestNumber TO OutputRecord.Lowest.
MOVE Average TO OutputRecord.Average.
DISPLAY “Highest Number: ” Highest.
DISPLAY “Lowest Number: ” Lowest.
DISPLAY “Average: ” Average.
CLOSE InputFile.
CLOSE OutputFile.
STOP RUN.
:- interface.
:- pred main_function().
:- implementation.
main_function :-
io.write_string(“Enter a series of numbers (non-numeric to stop):n”),
process_input(0, 0, 99999, 0.0),
io.nl.
process_input(NumCount, TotalSum, HighestNumber, LowestNumber) :-
io.read_integer(Input),
( Input = ok(Number) ->
NewNumCount = NumCount + 1,
NewTotalSum = TotalSum + Number,
( Number > HighestNumber ->
NewHighestNumber = Number
;
NewHighestNumber = HighestNumber
),
( Number < LowestNumber ->
NewLowestNumber = Number
;
NewLowestNumber = LowestNumber
),
process_input(NewNumCount, NewTotalSum, NewHighestNumber, NewLowestNumber)
;
( NumCount > 0 ->
Average = TotalSum / float(NumCount),
io.format(“Highest Number: %dn”, [HighestNumber]),
io.format(“Lowest Number: %dn”, [LowestNumber]),
io.format(“Average: %.2fn”, [Average])
;
io.write_string(“No numbers were input.n”)
)
).
SQL
Verilog
VHDL