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Random Exact Hamming Neighbor

Replay seed or one advancing injected source, uniform over the explicitly stated finite support, not cryptographically secure. Choose a uniform exact-cardinality bit subset and toggle it to produce an exact-Hamming-distance neighbor; zero-distance is permitted and consumes no draws.

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Description

Choose a uniform exact-cardinality bit subset and toggle it to produce an exact-Hamming-distance neighbor; zero-distance is permitted and consumes no draws.

A random construction is defined by its sampling support: positions, permutations, complete tilings, proposal sequences or another explicit set. Uniform choices at one stage do not necessarily make final visible outcomes uniform. A replay seed gives a deterministic sequence; equal values can hide different sampled positions. These tools are for reproducible synthetic examples rather than cryptographic entropy.

Choose a uniform exact-cardinality bit subset and toggle it to produce an exact-Hamming-distance neighbor; zero-distance is permitted and consumes no draws.

When to use this tool

Use this tool to choose a uniform exact-cardinality bit subset and toggle it to produce an exact-Hamming-distance neighbor; zero-distance is permitted and consumes no draws.

How to use the tool and how it works

  1. Enter bits, distance, seed using the definitions below.
  2. Run the operation. Resolve input-format errors before interpreting an output.
  3. Read result.seed, result.positions, result.bits, using the stated boundary, ordering, sign and absence conventions.

Validate a nonempty binary string and distance from zero through its length. Uniformly choose that many distinct positions, sort them and flip exactly those input bits.1

Input fieldMeaning and unitsAccepted input
bitsNonempty 0/1 string of at most 128 left-to-right positions.Text, at most 8,192 UTF-16 code units; narrower grammar/range rules also apply.
distanceExact Hamming distance, integer zero through the binary input length.Finite safe integer satisfying the stated bounds.
seedNonblank replay seed, at most 256 UTF-16 code units; an injected source overrides seeded draws.Text, at most 8,192 UTF-16 code units; narrower grammar/range rules also apply.
Output fieldInterpretation
resultObject containing the fields below.
result.seedOriginal supplied seed string; injected-source replay additionally requires that source’s state.
result.positionsSorted distinct selected/flipped/set positions.
result.bitsBinary text after exactly the stated bit flips.
json
{
  "input": {
    "bits": "1010",
    "distance": 2,
    "seed": "batch56"
  },
  "output": {
    "result": {
      "seed": "batch56",
      "positions": [
        2,
        3
      ],
      "bits": "1001"
    }
  }
}

Limitations and assumptions

  • Distance zero is allowed and returns the original string. Positions count left-to-right text slots, not an inferred integer bit order.
  • A nonblank seed of at most 256 UTF-16 code units is required. With ordinary use the seed initializes one deterministic advancing source; an application-injected random source takes precedence and the seed alone then cannot replay the result. Uniformity statements assume independent uniform source draws in [0,1). Source calls are bounded and degenerate injected sources can fail a rejection budget. This is not cryptographically secure.
  • Every declared outer field is required and unknown outer fields are rejected. Strings and JSON text have size limits, lists are bounded to 128 entries, and JSON nesting/node counts are bounded. Tighter operation-specific bounds stated above take precedence.
  • Ordinary numeric outputs must be finite and within safe-integer magnitude. Exact large lengths/counts use decimal strings. Original record indexes and code-unit positions are zero-based; span ends are exclusive unless stated otherwise.

Alternative or Complementary methods

Choose a generator whose support matches the intended experiment and retain source-position provenance. Use a separate statistically justified process model or cryptographic source where those properties matter.

References

  1. Tool behavior and example: Random Exact Hamming Neighbor — tool.io

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