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Random Specified Bit-Length Integer

Replay seed or one advancing injected source, uniform over the explicitly stated finite support, not cryptographically secure. Generate an exact unsigned integer with a specified positive bit length, setting the top bit and drawing remaining bits independently; integer text avoids unsafe numbers.

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Description

Generate an exact unsigned integer with a specified positive bit length, setting the top bit and drawing remaining bits independently; integer text avoids unsafe numbers.

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.

Generate an exact unsigned integer with a specified positive bit length, setting the top bit and drawing remaining bits independently; integer text avoids unsafe numbers.

When to use this tool

Use this tool to generate an exact unsigned integer with a specified positive bit length, setting the top bit and drawing remaining bits independently; integer text avoids unsafe numbers.

How to use the tool and how it works

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

Require bits in 1–128. Set the leading bit to one, then append bits−1 independent binary draws. Return exact decimal value and its binary spelling.1

Input fieldMeaning and unitsAccepted input
bitsExact positive integer bit length, 1–128, with a forced leading one.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.valueSelected literal member or exact integer text, under the stated generator.
result.binaryExact binary spelling with the requested bit length.
json
{
  "input": {
    "bits": 4,
    "seed": "batch56"
  },
  "output": {
    "result": {
      "seed": "batch56",
      "value": "15",
      "binary": "1111"
    }
  }
}

Limitations and assumptions

  • Support is positive integers of exactly the stated bit length, not all integers from zero through 2^bits−1.
  • 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 Specified Bit-Length Integer — tool.io

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