Description
Check nonnegative integer distance against the length-based bounds abs(leftLength-rightLength)<=distance<=max(lengths), then return one-distance/max(lengths), using one for both-empty inputs.
A similarity term depends on the comparison universe, missing-value policy, treatment of repeated features, and normalization. A score can also have a caller-selected value when its mathematical denominator vanishes. Those conventions matter before interpreting a threshold or comparing methods.
Check nonnegative integer distance against the length-based bounds abs(leftLength-rightLength)<=distance<=max(lengths), then return one-distance/max(lengths), using one for both-empty inputs.
When to use this tool
Use Normalized Edit Similarity Endpoint Check when you need this particular comparison term, normalization, domain condition, or empty-result policy in a larger matching workflow.
How to use the tool and how it works
- Enter distance, leftLength, rightLength. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read valid, similarity. Inspect valid before interpreting the associated values.
Check nonnegative integer distance against the length-based bounds abs(leftLength-rightLength)<=distance<=max(lengths), then return one-distance/max(lengths), using one for both-empty inputs.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| distance | Distance | Required. Safe integer; minimum 0. |
| leftLength | Left Length | Required. Safe integer; minimum 0. |
| rightLength | Right Length | Required. Safe integer; minimum 0. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| valid | Whether this tool’s specific rule passes, not a broader approval. | Required. Boolean. |
| similarity | Similarity | Required. Finite number. |
{
"input": {
"distance": 0,
"leftLength": 0,
"rightLength": 0
},
"output": {
"valid": true,
"similarity": 1
}
}Limitations and assumptions
- The bounds assume unit-cost edit operations and failures are input errors. Passing them does not prove an actual edit distance or matching strings; no edits are computed.
- The field tables state structural bounds; the mechanics also specify cross-field constraints. Malformed inputs and unsupported domains cause errors. A successful false flag, empty branch value, or zero placeholder has the meaning stated above and is distinct from an input error.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Signed zero is exported as zero.
Alternative or Complementary methods
Compare methods only after aligning feature definitions, missingness, empty policies, multiplicities, and normalizers. Use a complete comparison when the tool returns only one contribution or count check.
References
Similar or alternative tools
- Edit Similarity Missing Versus Empty Label
Return comparable when neither missing flag is true and bothEmpty only for two comparable empty strings.
- Edit Distance Cost Symmetry Pair
Return symmetric when insertion equals deletion cost and the supplied forward/backward substitution costs are exactly equal.