# forge.testing.check_warmup

```python
forge.testing.check_warmup(strategy: str | os.PathLike[str] | type[Strategy], bars: SampleBars | pd.DataFrame | None = None, params: Mapping[str, Any] | None = None, *, symbol: str | None = None, timeframe: str | None = None, facts: Mapping[str, Any] | None = None) -> dict[str, Any]
```

Measure how much each output of a strategy depends on where its data starts, as plain JSON.

Every plot, recorded series, declared signal and named condition is computed over the whole
history
and over histories that start later. A moving average is exact after its window, an exponential
average settles after a number of bars the report gives, and a running total never settles. The
arguments are those of ``run``.

Since Forge API 1.