(d, normalized=False)
| 41 | |
| 42 | |
| 43 | def _transform_builtins(d, normalized=False): |
| 44 | space_key = 'normalized' if normalized else 'unnormalized' |
| 45 | |
| 46 | transformed = {} |
| 47 | |
| 48 | if isinstance(d, dict): |
| 49 | transformed = {} |
| 50 | for k, v in d.items(): |
| 51 | if isinstance(v, _PymgridSpace): |
| 52 | transformed[k] = v[space_key] |
| 53 | else: |
| 54 | transformed[k] = _transform_builtins(v, normalized=normalized) |
| 55 | |
| 56 | transformed = Dict(transformed) |
| 57 | |
| 58 | elif isinstance(d, list): |
| 59 | transformed = [] |
| 60 | for v in d: |
| 61 | if isinstance(v, _PymgridSpace): |
| 62 | transformed.append(v[space_key]) |
| 63 | elif isinstance(v, Space): |
| 64 | transformed.append(v) |
| 65 | else: |
| 66 | transformed.append(_transform_builtins(v, normalized=normalized)) |
| 67 | |
| 68 | transformed = Tuple(transformed) |
| 69 | |
| 70 | return transformed |
| 71 | |
| 72 | |
| 73 | def extract_builtins(d, act_or_obs='act', normalized=False): |
no test coverage detected