Interval Affine Transform

Affine-transform interval endpoints, reorder the image bounds and retain negative-scale orientation reversal.

Description

Affine-transform interval endpoints, reorder the image bounds and retain negative-scale orientation reversal.

An affine transformation shifts and scales interval coordinates. Negative scaling reverses direction, while zero scaling collapses both bounds.

When to use this tool

Affine-transform interval endpoints, reorder the image bounds and retain negative-scale orientation reversal.

  • Prepare the supplied start, end, scale, shift fields for this operation.
  • Compare the complete example with the representation used by your own input before carrying the result into another step.

How to use the tool and how it works

  1. Enter start, end, scale, shift. Use the exact text syntax, units and index conventions explained below.
  2. Run the tool. If input validation fails, correct the supplied fields before interpreting any result.
  3. Read result.start, result.end, result.orientationReversed. Interpret false, null and empty lists using the distinctions below; they can be valid outputs.

Transform both endpoints with scale times coordinate plus shift, then return their numeric minimum and maximum. Set orientationReversed when scale is negative.1

Input fieldMeaning and representationAccepted input
startstart.Finite number
endend.Finite number
scalescale.Finite number
shiftshift.Finite number
Output fieldInterpretation
resultObject containing the named outputs below.
result.startThe start value under the stated formula or text convention.
result.endThe end value under the stated formula or text convention.
result.orientationReversedWhether the operation’s stated orientation test passes; inspect the transformed endpoints without assuming they were reordered.
json
{
  "input": {
    "start": 1,
    "end": 3,
    "scale": -2,
    "shift": 1
  },
  "output": {
    "result": {
      "start": -5,
      "end": -1,
      "orientationReversed": true
    }
  }
}

Limitations and assumptions

  • The output contains ordered bounds rather than transformed open/closed flags. A zero scale creates a degenerate span; coordinate units and any rounding are caller responsibilities.
  • Interval-array rows contain exactly two finite endpoints in start/end order, with at most 128 intervals per collection. Individual operations state when positive length, integer endpoints or explicit inclusion flags are required.
  • Every declared top-level field is required and unexpected fields are rejected. Numeric inputs must be finite; ordinary text fields are bounded to 8,192 UTF-16 code units, with tighter operation-specific limits where stated.
  • Ordinary string lists have at most 128 entries of at most 128 code units each; numeric lists and matrices have separate bounded size checks. Nonfinite results and excessively large serialized outputs are rejected.
  • Indexes are zero-based and spans have an exclusive end unless explicitly stated otherwise. A valid false, null or empty-list result is distinct from malformed input.

Alternative or Complementary methods

Retain the endpoint convention with every result. Continuous length, integer point counts and open/closed membership differ; merge returned cells separately when a canonical minimal interval collection is required.

References

  1. Tool behavior and example: Interval Affine Transform — tool.io

Similar or alternative tools

  • Interval Clamp and Empty Audit

    Audit raw clipped interval bounds and emptiness; disjoint intersections retain start>end as evidence, not a fabricated nonempty interval.

  • Interval Complement Within Domain

    Compute half-open uncovered domain cells after clipping supplied intervals; no extrapolation outside the explicit nonempty domain.

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