Dataclass unhashable type
WebError: unhashable type: 'dict' with @dataclass. @dataclass (frozen=True, eq=True) class Table: name: str signature: Dict [str, Type [DBType]] prinmary_key: str foreign_keys: Dict [str, Type [ForeignKey]] indexed: List [str] Don't understand what's the problem. … WebJun 4, 2024 · There’s a paragraph in the docs that mentions this:. If eq and frozen are both true, by default dataclass() will generate a __hash__() method for you. If eq is true and …
Dataclass unhashable type
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WebNote. Keep in mind that pydantic.dataclasses.dataclass is a drop-in replacement for dataclasses.dataclass with validation, not a replacement for pydantic.BaseModel (with a … WebMar 11, 2024 · Yeah, I understand the desire to not bloat the API surface area. I was just missing this feature from dataclasses. FWIW I don't think you'd need to implement a hashable subset of the standard library: I don't consider (or want) models with lists to be hashable, which is a nice side effect of the implementation above that just forwards to …
WebJan 20, 2024 · So for everybody else having this issue, just do not use the @dataclass decorator for more than one class. 3 Likes shapovalov (Roman Shapovalov) April 20, 2024, 1:09pm WebNone of this happens when I use regular classes. I understand the dataclass is supposed to be treated like a Value Objet, but the inconsistent behaviour between platforms is what …
WebSep 3, 2024 · The @dataclass decorator has several parameters you can leverage ... __hash__ will be set to None, marking it unhashable (which it is). ... Imagine that you … WebNote. Keep in mind that pydantic.dataclasses.dataclass is a drop-in replacement for dataclasses.dataclass with validation, not a replacement for pydantic.BaseModel (with a small difference in how initialization hooks work). There are cases where subclassing pydantic.BaseModel is the better choice. For more information and discussion see …
WebFrozen dataclass will also generate a __hash__() method on the class. This allows the instance to be used in set and dict objects. Attempting to add a non-hashable object to a dict will result in TypeError: unhashable type. An immutable object is an object that cannot be modified. Strings are an example of an immutable object.
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