Still has the "won't fit in an int" problem, but it did use byte & 0x77 to get them into ints.
Amazingly, it got the field correct and in the right order!
It did not reference a source, but that seems to be a Bard feature right now.
It needed:
1) write a function in java to decode a rfc 3588 diameter header
2) 32 bit values will not fit into a java int, please fix the code.
3) 24 bit values will not fit into a java int, please fix the code.
I think I'm going to have to come up with a more complicated problem!
Pretty impressively, this is what it produced:
public class DiameterHeader {
private int version;
private long messageLength;
private int commandFlags;
private long commandCode;
private long applicationId;
private long hopByHopId;
private long endToEndId;
public DiameterHeader(byte[] data) {
if (data == null || data.length != 20) {
throw new IllegalArgumentException("Invalid Diameter header data");
}
version = data[0] & 0xFF;
messageLength = ((long) data[1] & 0xFF) << 16 | ((long) data[2] & 0xFF) << 8 | ((long) data[3] & 0xFF);
commandFlags = data[4] & 0xFF;
commandCode = ((long) data[5] & 0xFF) << 16 | ((long) data[6] & 0xFF) << 8 | ((long) data[7] & 0xFF);
applicationId = (((long) data[8] & 0xFF) << 24) | (((long) data[9] & 0xFF) << 16) | (((long) data[10] & 0xFF) << 8) | ((long) data[11] & 0xFF);
hopByHopId = (((long) data[12] & 0xFF) << 24) | (((long) data[13] & 0xFF) << 16) | (((long) data[14] & 0xFF) << 8) | ((long) data[15] & 0xFF);
endToEndId = (((long) data[16] & 0xFF) << 24) | (((long) data[17] & 0xFF) << 16) | (((long) data[18] & 0xFF) << 8) | ((long) data[19] & 0xFF);
}
// Getters for the fields
}Bard links to a github repo with license information.
What phind does is pulls code from search results and modifies it to suit your needs.
Oddly it went off on a tangent about how the problem can't be solved in Python, which I never mentioned.
But when I explicitly told it I wanted c++ it gave a decent answer.
It did, however, get some nuances seriously wrong.
> Precision loss for large integers: When encoding to JSON, UInt64 and Int64 are encoded as strings of base-10 digits in ASCII, since JavaScript's numeric type only affords 53 bits of precision. This means that large integers might lose precision when converted to JSON.
https://www.phind.com/search?cache=319c7cf5-65e4-4704-a8f3-0...