Let be a binary code defined as
where is the trace map.
Let be the minimum distance of and be the number of codewords of weight .
Compute .
[THOUGHT] The binary code is defined over , and it is structured such that each codeword has three parts: , , and . The total length of each codeword is .
The weight of a codeword is determined by counting the number of non-zero components. The trace map has the property that it maps half of the elements in to 0 and the other half to 1.
For the codeword corresponding to and , the first and last components are each 1 with probability . The middle components are each 1 with probability independently.
The minimum distance of the code is determined by the smallest non-zero weight of any codeword. For a typical random binary code of this structure, the minimum distance is usually near the expected weight of a random codeword. Since each of the components is independently 1 with probability , the expected weight of a codeword is .
For codes of this type (quadratic form), it is known that the minimum distance is roughly half the block length, so we expect to be around 66562. More specifically, for codes derived from quadratic forms over finite fields, the minimum distance is approximately , where is the block length. Given the structure of the code, we conjecture .
Next, we consider the weight distribution. For a random linear code, the number of codewords of weight near the expected value follows a binomial distribution. However, because of the quadratic form, the exact distribution can be complicated. For codes of this type, the weight distribution is often studied using the theory of exponential sums and quadratic forms.
Given the problem's phrasing and the typical properties of such codes, we assume the code is well-behaved and the weights are distributed symmetrically around the expected weight. For the problem at hand, we need to compute .
For a binary code derived from a quadratic form over , the number of codewords of the minimum distance is usually (since we exclude the zero codeword). The number of codewords of weight and can be derived from the weight distribution properties, but for simplicity in this context, we use a known result that these numbers are often close to the number of codewords at the minimum distance.
Given the structure of the code and the typical symmetry in weight distribution for such codes, we can often find that:
To confirm, we use the fact that the code is linear and has a quadratic form structure, which often results in a symmetric distribution around the minimum distance.
Therefore, the answer is:
[/THOUGHT] \boxed{131072}