Description
Perform a fixed number of independent uniformly selected ordered distinct-position swaps, retaining index trace; not a uniform final permutation.
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.
Perform a fixed number of independent uniformly selected ordered distinct-position swaps, retaining index trace; not a uniform final permutation.
When to use this tool
Use this tool to perform a fixed number of independent uniformly selected ordered distinct-position swaps, retaining index trace; not a uniform final permutation.
How to use the tool and how it works
- Enter values, swaps, seed using the definitions below.
- Run the operation. Resolve input-format errors before interpreting an output.
- Read result.seed, result.trace, result.sourceIndexes, result.values, using the stated boundary, ordering, sign and absence conventions.
Start with identity source indexes. For every requested swap draw a first slot uniformly, then a second uniformly from the other slots; swap their current source indexes and retain the ordered slot pair in trace.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| values | Literal string values in original positional order; repeated spellings retain distinct source indexes. | Dense list of at most 128 literal strings, each at most 8,192 UTF-16 units. |
| swaps | Number of ordered distinct-slot swaps, integer 1–128. | Finite safe integer satisfying the stated bounds. |
| seed | Nonblank 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 field | Interpretation |
|---|---|
| result | Object containing the fields below. |
| result.seed | Original supplied seed string; injected-source replay additionally requires that source’s state. |
| result.trace | Sequential swaps or guillotine-cut choices, retaining their stated provenance. |
| result.sourceIndexes | Output-position-to-original-position map. |
| result.values | Generated/reordered literal values, preserving the stated positional support. |
{
"input": {
"values": [
"a",
"b",
"c"
],
"swaps": 2,
"seed": "batch56"
},
"output": {
"result": {
"seed": "batch56",
"trace": [
[
1,
2
],
[
2,
1
]
],
"sourceIndexes": [
0,
1,
2
],
"values": [
"a",
"b",
"c"
]
}
}
} Limitations and assumptions
- At least two values and 1–128 swaps are required. A fixed number of random swaps is not a uniformly sampled final permutation.
- 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
Similar or alternative tools
- Random Block Order Permutation
Uniform whole-block position permutation preserving internal order and duplicate display labels.
- Random Bounded Chunk Cut Positions
Uniformly sample bounded positive chunk-length compositions of an explicit total with fixed chunk count using exact completion-count unranking; infeasible support rejects.