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Birth Death One Event Count Step Tool

Apply a supplied discrete count event; no stochastic event time or event type is sampled.

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Description

Apply a supplied birth or death event count.

Computational biology distinguishes discrete counts, probabilistic weights, sequence indexes and logical rules. A supplied event or record flag can be summarized without simulating a stochastic process, validating a sequence annotation or establishing a biological mechanism.

Apply a supplied birth or death event count.

When to use this tool

Use Birth Death One Event Count Step when checking the stated count, sequence, Boolean-rule or support convention.

How to use the tool and how it works

  1. Enter count, event, amount. 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 nextCount. Use the output convention below.

Apply a supplied birth or death event count. Require nonnegative whole count/amount, supported event and death amount <= count; nextCount = count plus birth amount or minus death amount.1

Input fieldMeaning and unitsAccepted input
countCountRequired. Safe integer; minimum 0.
eventEventRequired. Text; one of "birth", "death"; maximum UTF-16 length 8192.
amountAmountRequired. Safe integer; minimum 0.
Output fieldInterpretationReturned shape
nextCountNext CountRequired. Safe integer.
json
{
  "input": {
    "count": 10,
    "event": "birth",
    "amount": 3
  },
  "output": {
    "nextCount": 13
  }
}

Limitations and assumptions

  • No event time, probability or random sample is generated; this is deterministic supplied-event bookkeeping.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • 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. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete sequence, identifier universe or stochastic/logical model for actual inference, sampling and uncertainty analysis.

References

  1. Calculation and input contract: computational-biology/birth-death-one-event-count-step — tool.io

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