string-matching

I have the following dataframes: print(dfa) ID Value AA12 101 BB101 CC01 DE06 1 AA11 102 BB101 CC01 234 EE07 2 AA10 202 BB101 CC01 345 EE09 3 AA13 103 BB101 CC02 123 4 AA14 203 BB101 CC02 456 5 AA15 204 BB102 CC03 567 6 print(dfb) ID Value AA10 202 BB101 CC01 EE09 345 3 AA11 102 BB101 CC01 EE07 234 2 AA12 101 BB101 CC01 DE06 1 AA13 103 BB101 CC02 123 4 AA18 203 BB103 CC01 456 5 AA15 204 BB201 CC11 678 7 I would like to compare the string in (dfa.ID, dfa.Value) to the one in (dfb.ID, dfb.Value). If they match exactly (even when the order of substring is not identical), I would like to print

I'm reading the KMP algorithm on wikipedia. There is one line of code in the "Description of pseudocode for the table-building algorithm" section that confuses me: let cnd ← T[cnd] It has a comment: (second case: it doesn't, but we can fall back) , I know we can fall back, but why T[cnd], is there a reason? Because it really confuses me. Here is the complete pseudocode fot the table-building algorithm: algorithm kmp_table: input: an array of characters, W (the word to be analyzed) an array of integers, T (the table to be filled) output: nothing (but during operation, it populates the table)

I'm teaching myself regular expressions, and found a quizzing site that has been helping me find more applications for them and has been helping me expand my knowledge of how they work. I found a question asking me to form a regex to match 10 digit numbers that are multiples of 3s. The only way I can think of doing this is by having the regex recognise numbers' values and be able to manipulate them mathematically. How is this possible? In other words, what regex would match 0003 0006 0351 1749 but not match 0005 0011 0361 4372 First you need to start with the rule that a number is divisble by