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Keywords {🔍}

samuelcolvin, default, type, issue, sign, defaults, instances, values, pydantic, nonprimitive, object, atleta, ufriends, fixed, added, commented, copy, mentioned, navigation, pull, requests, actions, security, shared, closed, create, field, data, instance, documentation, friends, dict, created, feature, request, member, commit, references, fix, unverified, share, github, projects, milestone, footer, skip, content, menu, product, solutions,

Topics {✒️}

samuelcolvin added comment metadata assignees instances share objects gangefors mentioned primitive type type projects function parameter class user dict created factory functions declarative style converting validator correct solution arbitrary types projects milestone milestone relationships personal information pydantic serialized data list[int] = [] github u2 = [user friends list default values copy instances defaults share object sign int data created u2 values friends default skip jump shared create model field end instance initized hindshight surprising documentation misleading

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DiscussionForumPosting:
      context:https://schema.org
      headline:Non-primitive type (object) defaults are shared between instances
      articleBody: Hi, If you use any non-primitive type as a default and create a model so that the default is used (i.e. not specifying the field in the serialized data) then you will end up having the same instance across all the instances (that were initized with the default). Now, in hindshight it's not surprising, because this is what happens when you have such a default for a function parameter, but the documentation is misleading as it contains an example suggesting you could do this: ``` class User(BaseModel): id: int name = 'John Doe' signup_ts: datetime = None friends: List[int] = [] ``` While if now you create two users: ``` u1, u2 = [User(id=i) for i in range(2)] ``` You'll have `u1.friends is u2.friends`. This one is easy to step aside by always providing a friends list, but in my case I wanted to use a defaultdict, which, it seems can be fixed with validators (using always=True, and also copying the values from the dict created by pydantic) but it would be nice to be able to use factory functions for a more declarative style. E.g. if you know FactoryBoy, something like that. (Though, probably one should still have a converting validator if there is actually data for that field.) But at least the documentation should be fixed.
      author:
         url:https://github.com/atleta
         type:Person
         name:atleta
      datePublished:2018-04-09T14:45:31.000Z
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      url:https://github.com/154/pydantic/issues/154
      context:https://schema.org
      headline:Non-primitive type (object) defaults are shared between instances
      articleBody: Hi, If you use any non-primitive type as a default and create a model so that the default is used (i.e. not specifying the field in the serialized data) then you will end up having the same instance across all the instances (that were initized with the default). Now, in hindshight it's not surprising, because this is what happens when you have such a default for a function parameter, but the documentation is misleading as it contains an example suggesting you could do this: ``` class User(BaseModel): id: int name = 'John Doe' signup_ts: datetime = None friends: List[int] = [] ``` While if now you create two users: ``` u1, u2 = [User(id=i) for i in range(2)] ``` You'll have `u1.friends is u2.friends`. This one is easy to step aside by always providing a friends list, but in my case I wanted to use a defaultdict, which, it seems can be fixed with validators (using always=True, and also copying the values from the dict created by pydantic) but it would be nice to be able to use factory functions for a more declarative style. E.g. if you know FactoryBoy, something like that. (Though, probably one should still have a converting validator if there is actually data for that field.) But at least the documentation should be fixed.
      author:
         url:https://github.com/atleta
         type:Person
         name:atleta
      datePublished:2018-04-09T14:45:31.000Z
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         userInteractionCount:3
      url:https://github.com/154/pydantic/issues/154
Person:
      url:https://github.com/atleta
      name:atleta
      url:https://github.com/atleta
      name:atleta
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