ingest_pipeline · Compute Shannon entropy: H

Read the equation

This relation defines Shannon entropy: H in the source section “ingest_pipeline · Compute Shannon entropy: H”. Uses logarithmic scaling; its base and the positivity of its argument matter. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read Shannon entropy: H as the quantity being defined or updated by this relation.

2. Uses logarithmic scaling; its base and the positivity of its argument matter.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

• This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

    // Build frequency histogram (256 bins for bytes)
    std::array<uint64_t, 256> histogram{};
    for (size_t i = 0; i < size; ++i) {
        histogram[data[i]]++;
    }

    // Compute Shannon entropy: H = -Σ p_i * log2(p_i)
    double entropy = 0.0;
    double size_inv = 1.0 / static_cast<double>(size);

    for (uint64_t count : histogram) {
        if (count > 0) {
            double p = static_cast<double>(count) * size_inv;
            entropy -= p * std::log2(p);
        }
    }

Compute Shannon entropy: H = -Σ p_i * log2(p_i)

Related builds