Transform dictionaries based off of type information from the given type, for example: ```py class Params(TypedDict, total=False): card_id: Required[Annotated[str, PropertyInfo(alias="cardID")]] transformed = transform({"card_id": " "}, Params) # {'cardID': '<my
(
data: _T,
expected_type: object,
)
| 88 | |
| 89 | # Wrapper over _transform_recursive providing fake types |
| 90 | def transform( |
| 91 | data: _T, |
| 92 | expected_type: object, |
| 93 | ) -> _T: |
| 94 | """Transform dictionaries based off of type information from the given type, for example: |
| 95 | |
| 96 | ```py |
| 97 | class Params(TypedDict, total=False): |
| 98 | card_id: Required[Annotated[str, PropertyInfo(alias="cardID")]] |
| 99 | |
| 100 | |
| 101 | transformed = transform({"card_id": "<my card ID>"}, Params) |
| 102 | # {'cardID': '<my card ID>'} |
| 103 | ``` |
| 104 | |
| 105 | Any keys / data that does not have type information given will be included as is. |
| 106 | |
| 107 | It should be noted that the transformations that this function does are not represented in the type system. |
| 108 | """ |
| 109 | transformed = _transform_recursive(data, annotation=cast(type, expected_type)) |
| 110 | return cast(_T, transformed) |
| 111 | |
| 112 | |
| 113 | @lru_cache(maxsize=8096) |
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