# `Monty.Experiment.RecognitionStrategy.NaiveScan`
[🔗](https://github.com/d-led/ex.tbp.monty/blob/v0.1.0/packages/ex_tbp_monty_core/lib/monty/experiment/recognition_strategy/naive_scan.ex#L1)

Done when a naive scan's spiral has completed.

Mirrors `tbp/monty/experiment/recognition_strategy.py::NaiveScan`. The scan moves
in fixed steps and turns until it has swept ninety degrees, so the number of
steps in the spiral is arithmetic on the step size and nothing else:

    k = ceil(90 / fixed_amount)
    step_limit = k * (k - 1) + 1

which is 1, 73, 307 and 8011 for step sizes of 90, 10, 5 and 1 — Monty's own
numbers, and the reason this policy exists rather than a plain step ceiling.

# `call`

```elixir
@spec call(map(), Monty.Experiment.RecognitionStrategy.RecognitionCounter.t(), map()) ::
  Monty.Experiment.RecognitionStrategy.RecognitionResult.t()
```

Done when the spiral is complete.

# `new`

```elixir
@spec new(keyword()) :: {:ok, {module(), map()}} | {:error, String.t()}
```

A policy whose ceiling is the spiral's own length.

Monty raises `ValueError` for a step size that is not positive; here that is
`{:error, message}` with Monty's own words.

# `step_limit`

```elixir
@spec step_limit(pos_integer()) :: pos_integer()
```

How many steps a spiral of this step size takes, as Monty computes it.

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*Consult [api-reference.md](api-reference.md) for complete listing*