Initial Query

Disassemble the following python into a function called foo: 5 0 BUILD_LIST 0 2 STORE_FAST 1 (primes) 6 4 LOAD_GLOBAL 0 (range) 6 LOAD_CONST 1 (2) 8 LOAD_FAST 0 (max_number) 10 LOAD_CONST 2 (1) 12 BINARY_ADD 14 CALL_FUNCTION 2 16 GET_ITER >> 18 FOR_ITER 94 (to 114) 20 STORE_FAST 2 (possible_prime) 7 22 LOAD_CONST 3 (True) 24 STORE_FAST 3 (is_prime) 9 26 LOAD_GLOBAL 0 (range) 28 LOAD_CONST 1 (2) 30 LOAD_GLOBAL 1 (int) 32 LOAD_FAST 2 (possible_prime) 34 LOAD_CONST 4 (0.5) 36 BINARY_POWER 38 CALL_FUNCTION 1 40 LOAD_CONST 2 (1) 42 BINARY_ADD 44 CALL_FUNCTION 2 46 GET_ITER >> 48 FOR_ITER 24 (to 74) 50 STORE_FAST 4 (num) 10 52 LOAD_FAST 2 (possible_prime) 54 LOAD_FAST 4 (num) 56 BINARY_MODULO 58 LOAD_CONST 5 (0) 60 COMPARE_OP 2 (==) 62 POP_JUMP_IF_FALSE 48 11 64 LOAD_CONST 6 (False) 66 STORE_FAST 3 (is_prime) 12 68 POP_TOP 70 JUMP_ABSOLUTE 74 72 JUMP_ABSOLUTE 48 13 >> 74 LOAD_FAST 3 (is_prime) 76 POP_JUMP_IF_FALSE 18 14 78 LOAD_FAST 1 (primes) 80 LOAD_METHOD 2 (append) 82 LOAD_FAST 2 (possible_prime) 84 CALL_METHOD 1 86 POP_TOP 16 88 LOAD_FAST 2 (possible_prime) 90 LOAD_CONST 1 (2) 92 BINARY_MODULO 94 LOAD_CONST 5 (0) 96 COMPARE_OP 3 (!=) 98 POP_JUMP_IF_FALSE 18 17 100 LOAD_FAST 1 (primes) 102 LOAD_METHOD 2 (append) 104 LOAD_FAST 2 (possible_prime) 106 UNARY_NEGATIVE 108 CALL_METHOD 1 110 POP_TOP 112 JUMP_ABSOLUTE 18 18 >> 114 LOAD_FAST 1 (primes) 116 RETURN_VALUE

LLM Generation

Query

Output

Here's the disassembled code reorganized into a function called `foo`:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes

The function `foo` takes a parameter `max_number` and returns a list of prime numbers (both positive and negative) up to that number. Here's how the code works: 1. An empty list called `primes` is created to store the prime numbers. 2. The code iterates over a range of numbers from 2 to `max_number + 1` (inclusive) using a `for` loop. Each number in the range is considered as a possible prime number and stored in the variable `possible_prime`. 3. For each `possible_prime`, a flag variable `is_prime` is set to `True` initially, assuming the number is prime. 4. The code then enters another `for` loop that iterates from 2 to the square root of `possible_prime` (inclusive). This is an optimization technique since factors greater than the square root can be derived from factors less than or equal to the square root. 5. If `possible_prime` is divisible by any number `num` in the inner loop (i.e., `possible_prime % num == 0`), then `is_prime` is set to `False`, indicating that `possible_prime` is not a prime number. The inner loop is then terminated using the `break` statement. 6. After the inner loop, if `is_prime` is still `True`, it means `possible_prime` is a prime number. In this case, `possible_prime` is appended to the `primes` list. 7. Additionally, if `possible_prime` is an odd number (i.e., `possible_prime % 2 != 0`), its negative value is also appended to the `primes` list. 8. The outer loop continues until all numbers up to `max_number` have been checked. 9. Finally, the function returns the `primes` list containing all the prime numbers (both positive and negative) found up to `max_number`. This function effectively finds all the prime numbers (both positive and negative) up to a given maximum number and returns them as a list.

Extract Code

I extracted the following code from that output:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes

Run Code Interpreter

Running the following program:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes





answer = foo(20)
expected = [2, 3, -3, 5, -5, 7, -7, 11, -11, 13, -13, 17, -17, 19, -19]
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')

And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

LLM Generation

Query

Output

Here's the disassembled code converted into a function called `foo`:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

Explanation: 1. The function `foo` takes a parameter `max_number` which represents the maximum number up to which prime numbers will be generated. 2. An empty list `primes` is created to store the prime numbers. 3. The code uses a `for` loop to iterate over the range from 2 to `max_number + 1` (inclusive). Each number in this range is considered a possible prime number. 4. For each `possible_prime`, the code sets `is_prime` to `True` initially. 5. Another `for` loop is used to iterate from 2 to the square root of `possible_prime` (inclusive). If `possible_prime` is divisible by any number in this range, it is not a prime number, so `is_prime` is set to `False` and the inner loop is terminated using `break`. 6. After the inner loop, if `is_prime` is still `True`, it means `possible_prime` is a prime number, so it is appended to the `primes` list. 7. Additionally, if `possible_prime` is an odd number (not divisible by 2), its negative value is also appended to the `primes` list. 8. Finally, the function returns the `primes` list containing all the prime numbers (both positive and negative) found within the given range. Note: The disassembled code uses bytecode instructions, which are low-level instructions executed by the Python virtual machine. The converted function provides a readable and equivalent representation of the same logic in Python source code.

Extract Code

I extracted the following code from that output:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

Run Code Interpreter

Running the following program:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes





answer = foo(20)
expected = [2, 3, -3, 5, -5, 7, -7, 11, -11, 13, -13, 17, -17, 19, -19]
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')

And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

LLM Generation

Query

Output

Here's the disassembled code as a function called `foo`:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes

The function `foo` takes a parameter `max_number` and returns a list of prime numbers and their negatives up to `max_number`. Here's a breakdown of the function: 1. It initializes an empty list called `primes` to store the prime numbers. 2. It starts a loop that iterates from 2 to `max_number + 1` (inclusive). Each number in this range is considered a `possible_prime`. 3. For each `possible_prime`, it assumes it is prime by setting `is_prime` to `True`. 4. It starts an inner loop that iterates from 2 to the square root of `possible_prime` (inclusive). This is an optimization since any factor of a number must be less than or equal to its square root. 5. Inside the inner loop, it checks if `possible_prime` is divisible by the current `num`. If it is, then `possible_prime` is not prime, so it sets `is_prime` to `False` and breaks out of the inner loop. 6. After the inner loop, it checks if `is_prime` is still `True`. If it is, then `possible_prime` is a prime number, so it appends it to the `primes` list. 7. If `possible_prime` is an odd number (not divisible by 2), it also appends the negative value of `possible_prime` to the `primes` list. 8. Finally, it returns the `primes` list containing all the prime numbers and their negatives up to `max_number`. Note: The disassembled code uses bytecode instructions, which are low-level instructions executed by the Python interpreter. The function `foo` is a high-level representation of the same logic expressed in Python code.

Extract Code

I extracted the following code from that output:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes

Run Code Interpreter

Running the following program:

def foo(max_number):
    primes = []
    for possible_prime in range(2, max_number + 1):
        is_prime = True
        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(possible_prime)
            if possible_prime % 2 != 0:
                primes.append(-possible_prime)
    return primes





answer = foo(20)
expected = [2, 3, -3, 5, -5, 7, -7, 11, -11, 13, -13, 17, -17, 19, -19]
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')

And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

LLM Generation

Query

Output

Here's the disassembled Python code turned into a function called `foo`:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

The function `foo` takes a parameter `max_number` and returns a list of prime numbers (and their negatives if they are odd) up to `max_number`. Here's a breakdown of the function: 1. We initialize an empty list called `primes` to store the prime numbers. 2. We start a loop that iterates from 2 to `max_number + 1` (inclusive). Each iteration, the current number being considered is stored in the variable `possible_prime`. 3. For each `possible_prime`, we assume it is prime by setting `is_prime` to `True`. 4. We start another loop that iterates from 2 to the square root of `possible_prime` (rounded down to the nearest integer). Each iteration, the current number is stored in the variable `num`. 5. If `possible_prime` is divisible by `num`, it means `possible_prime` is not prime. In this case, we set `is_prime` to `False` and break out of the inner loop. 6. After the inner loop, we check if `is_prime` is still `True`. If it is, we append `possible_prime` to the `primes` list. 7. If `possible_prime` is odd (i.e., not divisible by 2), we also append its negative value to the `primes` list. 8. Finally, we return the `primes` list containing all the prime numbers (and their negatives if they are odd) up to `max_number`. This function implements the logic of finding prime numbers up to a given maximum number and also includes their negative values if they are odd.

Extract Code

I extracted the following code from that output:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

Run Code Interpreter

Running the following program:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes





answer = foo(20)
expected = [2, 3, -3, 5, -5, 7, -7, 11, -11, 13, -13, 17, -17, 19, -19]
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')

And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

LLM Generation

Query

Output

Here's the disassembled code converted into a function called `foo`:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

The function `foo` takes a single argument `max_number` and returns a list of prime numbers (both positive and negative) up to the specified `max_number`. Here's a breakdown of the code: 1. `primes = []` initializes an empty list to store the prime numbers. 2. The outer `for` loop iterates through the possible prime numbers from 2 to `max_number + 1`. 3. For each `possible_prime`, the variable `is_prime` is initially set to `True`. 4. The inner `for` loop checks if `possible_prime` is divisible by any number between 2 and the square root of `possible_prime` (inclusive). If it is divisible by any number in that range, `is_prime` is set to `False`, and the loop is exited using `break`. 5. After the inner loop, if `is_prime` is still `True`, it means `possible_prime` is a prime number. 6. If `possible_prime` is prime, it is appended to the `primes` list. 7. Additionally, if `possible_prime` is an odd prime number, its negative value is also appended to the `primes` list. 8. After the outer loop finishes, the function returns the `primes` list containing all the prime numbers (both positive and negative) up to `max_number`. You can now call the `foo` function with a specific `max_number` to get the list of prime numbers up to that number.

Extract Code

I extracted the following code from that output:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes

Run Code Interpreter

Running the following program:

def foo(max_number):
    primes = []

    for possible_prime in range(2, max_number + 1):
        is_prime = True

        for num in range(2, int(possible_prime ** 0.5) + 1):
            if possible_prime % num == 0:
                is_prime = False
                break

        if is_prime:
            primes.append(possible_prime)

            if possible_prime % 2 != 0:
                primes.append(-possible_prime)

    return primes





answer = foo(20)
expected = [2, 3, -3, 5, -5, 7, -7, 11, -11, 13, -13, 17, -17, 19, -19]
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')

And got the output: All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True