Source code
public class LuckyNumbers {
public static void main(String[] args) {
int[] a = new int[1000];
//initialize array with odd numbers
for (int i = 0, num = 1; i < a.length; i++, num += 2) {
a[i] = num;
}
//sieve process
for (int k = 2; k <= 1000; k++) {
int index = 0;
for (int i = 0, j = 1; i < a.length; i++) {
if (j == k) {
j = 1;
} else {
a[index++] = a[i];
j++;
}
}
}
//print first 1000 terms
for (int i = 0; i < a.length; i++) {
System.out.print(a[i] + " ");
}
}
}
Run 1
The code has a simple overall structure with separate initialization, sieving, and printing phases, but the sieving logic is unclear and contains a bug: every iteration shifts the array left, but the index is never reset before reuse, and the sieve condition does not actually test divisibility by the lucky number. Loop variables are reused in confusing ways, and the meaning of 'k', 'j', and 'index' is not self-evident. The code is compact and not deeply nested, but multiple actions are packed into single lines, and the reading flow is disrupted by the incorrect sieve implementation and lack of defensive code or comments. Variable names like 'a' are too generic, and the stated goal (printing first 1000 terms) is not matched by the algorithm's logic. Overall, the code is moderately readable at a syntactic level, but semantically opaque.
Run 2
The code structure is mostly linear and straightforward, but it has several readability issues. The variable names 'a', 'k', 'i', 'j' are not descriptive, and the logic of the sieve process is unclear without domain knowledge of lucky numbers. The nested loops create some depth, though not extreme. The biggest problem is clarity of intent: the algorithm's purpose and mechanics are obscure, with no method extraction or comments explaining the sieve step. The array sizing and loop bounds use magic numbers (1000, 2) without explanation. Action granularity is mostly one action per line, but some lines combine multiple operations (e.g., 'a[index++] = a[i]'). Reading flow is hindered because the sieve operation is not intuitively obvious. The initialization comment is helpful, but the overall code lacks segmentation into meaningful methods or variables that express what is happening.
Run 3
The code has a clear three-step structure (initialize, sieve, print) but lacks explanatory comments or method decomposition. The main method is overloaded with logic, making intent ambiguous. The first loop is readable, but the sieve loop is confusing: variables like k, index, i, and j have unclear roles, and the array size is hard-coded. The sieve appears to repeatedly compact the array, but the interaction between k and the loop bounds is non-obvious. Nesting is moderate (two levels), but the logic inside is dense—multiple actions occur per line with complex conditions. Reading flow suffers from single-letter variables and magic numbers. Concise but not self-documenting; the algorithm’s purpose (lucky numbers) is not evident without external context. Overall, the code works but requires significant mental effort to understand.
Run 1
Code Structure: Initialization, sieving, and output are logically ordered and separated by comments, but all logic resides in main. Nesting: The sieve has moderately nested loops and an if/else, making it harder to follow than the other sections. Clarity of intent: The class name and comments convey the overall purpose, but terse names such as a, j, and k obscure algorithmic roles; the unchanged array length after compaction also makes the intended sieve behavior unclear. Code length: The implementation is concise without excessive boilerplate. Action granularity: Most lines contain one action, although loop headers combine variable updates and a[index++] combines assignment with index advancement. Reading flow: The three phases read naturally, but magic constants and unexplained counter/reset behavior require careful tracing.
Run 2
Code Structure: Clearly separates initialization, sieving, and output, but keeps everything in main rather than named methods. Nesting: Moderate loop-and-conditional nesting is manageable. Clarity of intent: The class name and comments communicate the broad goal, but terse variables, the fixed sieve bound, and in-place array updates obscure the algorithm. The code does not track the active array length after filtering, making the claimed output harder to understand or trust. Code length: Compact, with little unnecessary code. Action granularity: Most lines perform one action, although loop headers update multiple variables and a[index++] combines assignment with incrementing. Reading flow: Proceeds naturally from setup to processing to printing, but understanding the sieve requires careful tracing.
Run 3
Code Structure: Initialization, sieving, and output are logically ordered and separated by comments, but all logic resides in main. Nesting: The sieve uses a nested loop with an if/else, creating moderate depth. Clarity of intent: The class name and comments convey the overall goal, but terse variables (a, k, i, j) obscure the sieve mechanics; the unchanged array length also makes the intended handling of removed elements unclear. Code length: Compact without substantial repetition, though named helpers could improve comprehension. Action granularity: Most statements perform one action, but loop headers combine variable initialization and updates, and a[index++] combines assignment with an increment. Reading flow: Formatting and sequential phases are easy to follow, but understanding the filtering logic requires careful tracking of counters and array mutation.