How to resolve the algorithm Population count step by step in the MAD programming language
Published on 12 May 2024 09:40 PM
How to resolve the algorithm Population count step by step in the MAD programming language
Table of Contents
Problem Statement
The population count is the number of 1s (ones) in the binary representation of a non-negative integer. Population count is also known as:
For example, 5 (which is 101 in binary) has a population count of 2.
Evil numbers are non-negative integers that have an even population count. Odious numbers are positive integers that have an odd population count.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Population count step by step in the MAD programming language
Source code in the mad programming language
NORMAL MODE IS INTEGER
INTERNAL FUNCTION LOWBIT.(K) = K-K/2*2
R FUNCTION TO CALC POP COUNT
INTERNAL FUNCTION(N)
ENTRY TO POPCNT.
RSLT = 0
PCTNUM = N
LOOP PCTNXT = PCTNUM/2
RSLT = RSLT + PCTNUM-PCTNXT*2
PCTNUM = PCTNXT
WHENEVER PCTNUM.NE.0, TRANSFER TO LOOP
FUNCTION RETURN RSLT
END OF FUNCTION
R POP COUNT OF 3^0 TO 3^29
POW3 = 1
THROUGH P3CNT, FOR I=0, 1, I.GE.30
PRINT FORMAT P3FMT, I, POPCNT.(POW3)
P3CNT POW3 = POW3 * 3
VECTOR VALUES P3FMT = $15HPOP COUNT OF 3^,I2,2H: ,I3*$
R EVIL AND ODIOUS NUMBERS
PRINT COMMENT$ $
PRINT COMMENT$ FIRST 30 EVIL NUMBERS ARE$
SEEN = 1
THROUGH EVIL, FOR I=0, 1, SEEN.GE.30
WHENEVER LOWBIT.(POPCNT.(I)).E.0
PRINT FORMAT NUMFMT,I
SEEN = SEEN + 1
EVIL END OF CONDITIONAL
PRINT COMMENT$ $
PRINT COMMENT$ FIRST 30 ODIOUS NUMBERS ARE$
SEEN = 1
THROUGH ODIOUS, FOR I=0, 1, SEEN.GE.30
WHENEVER LOWBIT.(POPCNT.(I)).E.1
PRINT FORMAT NUMFMT,I
SEEN = SEEN + 1
ODIOUS END OF CONDITIONAL
VECTOR VALUES NUMFMT = $I2*$
END OF PROGRAM
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