Overview
Introduction
Clamping is a simple but common operation: force every value in a dataset to stay within bounds instead of validating and rejecting anything outside them.
This tool applies that to a list of integers, so batches of scores, offsets, or measurements can be safely bounded in one step.
What Is Integer Clamper?
A batch clamp tool that takes a list of integers plus a Min and a Max, and pushes every out-of-range value to the nearest bound.
Values already within [min, max] are left completely untouched; only out-of-range values are adjusted.
How Integer Clamper Works
Each line is parsed as an integer, blank lines are skipped, and invalid lines are rejected with a clear error before any clamping happens.
For every value, the tool applies `Math.min(Math.max(value, min), max)`: first raising anything below min up to min, then capping anything above max down to max.
The clamped values are written back out one per line, in the same order as the input.
When To Use Integer Clamper
Use it to bound a batch of user-entered or generated numbers into a valid range before storing or displaying them (e.g. percentages, ratings, offsets).
It's useful for sanitizing test data or randomly generated numbers down into an expected bound without discarding any rows.
Often used alongside Integer Digit Clamper and Integer Filter.
Features
Advantages
- Guarantees the output has exactly as many lines as the input, since every value is adjusted rather than dropped.
- Simple, predictable behavior: values inside the range are always left byte-for-byte identical.
Limitations
- Only supports a single shared range for the whole list; it can't apply a different range per line.
- Doesn't flag which values were actually changed versus passed through unchanged in the output itself.
Examples
Best Practices & Notes
Best Practices
- Double-check that Min is less than or equal to Max before running a large batch, since the tool rejects an inverted range outright.
- Use this before feeding values into a system with hard bounds (e.g. a percentage field, a pixel coordinate) to avoid downstream validation errors.
Developer Notes
Clamping is implemented directly as `Math.min(Math.max(value, min), max)` per parsed line, which is both the standard definition of clamping and avoids any branching logic beyond the two comparisons.
Integer Clamper Use Cases
- Bounding a batch of percentages or ratings into a valid 0-100 (or similar) range
- Sanitizing randomly generated or user-submitted numeric data before storage
- Constraining pixel or grid coordinates to stay within a canvas or board's dimensions
Common Mistakes
- Expecting out-of-range values to be removed rather than adjusted — clamping always keeps every line, just modifies the value.
- Setting Min greater than Max, which the tool rejects since there's no valid range to clamp into.
Tips
- If you need to drop rather than adjust out-of-range values, use Integer Filter's "in range" mode instead.
- Pair this with Integer Digit Clamper if you want to bound individual digits rather than the whole value.