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Dice Overlap Count Contribution Tool

Calculate dice overlap count contribution from explicit caller-supplied inputs.

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Description

Return exact decimal numerator twice overlap and denominator firstSize+secondSize using BigInt, plus numeric dice.

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.

Return exact decimal numerator twice overlap and denominator firstSize+secondSize using BigInt, plus numeric dice.

When to use this tool

Use Dice Overlap Count Contribution 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

  1. Enter overlap, firstSize, secondSize. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read numeratorDecimal, denominatorDecimal, dice, defined. Inspect defined before interpreting the associated values.

Return exact decimal numerator twice overlap and denominator firstSize+secondSize using BigInt, plus numeric dice. Use dice zero with defined false for a zero denominator; require feasible nonnegative integer counts.1

Input fieldMeaning and unitsAccepted input
overlapOverlapRequired. Safe integer; minimum 0.
firstSizeFirst SizeRequired. Safe integer; minimum 0.
secondSizeSecond SizeRequired. Safe integer; minimum 0.
Output fieldInterpretationReturned shape
numeratorDecimalExact decimal twice-overlap count.Required. Text; maximum UTF-16 length 8192.
denominatorDecimalExact decimal sum of support sizes.Required. Text; maximum UTF-16 length 8192.
diceDiceRequired. Finite number.
definedWhether the stated denominator or quantity is defined; inspect before interpreting a placeholder.Required. Boolean.
json
{
  "input": {
    "overlap": 2,
    "firstSize": 3,
    "secondSize": 5
  },
  "output": {
    "numeratorDecimal": "4",
    "denominatorDecimal": "8",
    "dice": 0.5,
    "defined": true
  }
}

Limitations and assumptions

  • The decimal terms preserve count exactness while dice uses floating-point division. No actual sets, duplicates policy, or meaningful match decision is verified.
  • 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

  1. Calculation and input contract: similarity/dice-overlap-count-contribution — tool.io

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