Sliding Window
Slice a list into overlapping fixed-size windows stepped one element at a time.
Description
Slice a list into overlapping fixed-size windows stepped one element at a time.
Sliding Window is a focused tool for the following task. Slice a list into overlapping fixed-size windows stepped one element at a time. It reports Windows, count from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Sliding Window
Use this discrete-data tool when the input representation, equality rules, ordering, and treatment of duplicates match the problem you need to solve.
- Values
- Required list. List to window.
- Window size
- Required integer. Number of elements per window.
The cited overview of Combinatorics supplies background for the terminology and domain context used by this tool.1
How Sliding Window works
Slice a list into overlapping fixed-size windows stepped one element at a time. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Windows
- Returned list. Consecutive windows of exactly windowSize elements.
- count
- Returned integer. Number of windows, which is values.length - windowSize + 1.
Limitations and assumptions
- Results depend on exact input encoding, comparison rules, ordering, duplicate handling, and practical output size; combinatorial operations can grow very quickly.
- Window size must be at least 1.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
For large or structured data, compare the result with a database query, streaming algorithm, or domain-specific library that makes ordering, identity, and resource limits explicit.
References
-
Combinatorics — Wikipedia contributors
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