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Random Remaining Ticket Draw

Replay seed or one advancing injected source, uniform over the explicitly stated finite support, not cryptographically secure. Draw uniform remaining unique ticket IDs without replacement after explicit used membership; infeasible counts reject, no persistent history.

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Description

Draw uniform remaining unique ticket IDs without replacement after explicit used membership; infeasible counts reject, no persistent history.

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.

Draw uniform remaining unique ticket IDs without replacement after explicit used membership; infeasible counts reject, no persistent history.

When to use this tool

Use this tool to draw uniform remaining unique ticket IDs without replacement after explicit used membership; infeasible counts reject, no persistent history.

How to use the tool and how it works

  1. Enter tickets, used, count, seed using the definitions below.
  2. Run the operation. Resolve input-format errors before interpreting an output.
  3. Read result.seed, result.drawn, result.remaining, using the stated boundary, ordering, sign and absence conventions.

Require distinct ticket and used-ID lists, with every used ID in tickets. Remove used IDs, sample count distinct remaining positions without replacement, and return drawn order plus undrawn eligible IDs in bank order.1

Input fieldMeaning and unitsAccepted input
ticketsDistinct exact ticket-ID strings in bank order.Dense list of at most 128 literal strings, each at most 8,192 UTF-16 units.
usedDistinct previously used IDs, each present in tickets.Dense list of at most 128 literal strings, each at most 8,192 UTF-16 units.
countPositive number of samples/items to request, within the generator’s eligible-support bounds.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.drawnSelected eligible IDs in draw order without repetition.
result.remainingUndrawn eligible IDs in original bank order.
json
{
  "input": {
    "tickets": [
      "a",
      "b",
      "c"
    ],
    "used": [
      "b"
    ],
    "count": 1,
    "seed": "batch56"
  },
  "output": {
    "result": {
      "seed": "batch56",
      "drawn": [
        "c"
      ],
      "remaining": [
        "a"
      ]
    }
  }
}

Limitations and assumptions

  • count must be 1 through eligible size. Previously used IDs are omitted from both outputs.
  • 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 Remaining Ticket Draw — tool.io

Similar or alternative tools

  • Random Excluded Ticket Draw

    Draw uniform remaining unique ticket IDs without replacement after explicit excluded membership; infeasible counts reject, no persistent history.

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