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We are analyzing https://github.com/pydantic/pydantic/issues/1072.

Title:
Mypy finds errors in the first example from the documentation · Issue #1072 · pydantic/pydantic
Description:
This example from datetime import datetime from typing import List from pydantic import BaseModel class User(BaseModel): id: int name = 'John Doe' signup_ts: datetime = None friends: List[i...
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mypy, pydantic, type, python, library, samuelcolvin, commented, andreymal, dmontagu, standard, valid, documentation, error, means, libraries, code, react, hinted, requests, errors, issue, dont, bug, doesnt, absolutely, problem, compatible, euri, edited, edits, contributor, add, member, static, analysis, sign, pydanticexamplepy, optional, create, projects, amount, django, arent, finds, strict, false, implicit, reexport, ignore, nonoptional,

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samuelcolvin edits member andreymal edits author dmontagu edits contributor incorrect type hint complete mypy coverage change mypy errors static analysis tools bump flake8-quotes argue good practice comment metadata assignees supporting --strict mode fairly large amount static analysis libraries pydantic python code fully type hinted attribute 'basemodel' pydantic_example mypy type system potential bug syntax errors python standard library mypy-violating patterns docs dedicated pydantic v1 andreymal changed type hints python developer python written python developers python subset subclass 'basemodel' fine absolutely strive docs type hinted standard library massive amount enormous amount mind django module 'pydantic' pass mypy mypy assume mypy tests passed mypy mypy extension mypy config incompatible types false positive suggests putting awkward inconsistency function arguments

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DiscussionForumPosting:
      context:https://schema.org
      headline:Mypy finds errors in the first example from the documentation
      articleBody:<details> <summary>This example</summary> ```python from datetime import datetime from typing import List from pydantic import BaseModel class User(BaseModel): id: int name = 'John Doe' signup_ts: datetime = None friends: List[int] = [] external_data = { 'id': '123', 'signup_ts': '2019-06-01 12:22', 'friends': [1, 2, '3'] } user = User(**external_data) print(user.id) print(repr(user.signup_ts)) print(user.friends) print(user.dict()) ``` </details> ``` $ mypy --strict pydantic_example.py pydantic_example.py:3: error: Module 'pydantic' has no attribute 'BaseModel' pydantic_example.py:5: error: Class cannot subclass 'BaseModel' (has type 'Any') pydantic_example.py:8: error: Incompatible types in assignment (expression has type "None", variable has type "datetime") ``` This is not false positive. Pydantic `__init__.py` uses implicit reexport (this is an error, and I don't want to ignore it using `--no-implicit-reexport`), and this example uses None for a non-optional field (this is also an error). In general, I can't trust a library that suggests putting None in a non-optional field in the very first example. This violates the mypy type system.
      author:
         url:https://github.com/andreymal
         type:Person
         name:andreymal
      datePublished:2019-12-03T22:26:55.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:17
      url:https://github.com/1072/pydantic/issues/1072
      context:https://schema.org
      headline:Mypy finds errors in the first example from the documentation
      articleBody:<details> <summary>This example</summary> ```python from datetime import datetime from typing import List from pydantic import BaseModel class User(BaseModel): id: int name = 'John Doe' signup_ts: datetime = None friends: List[int] = [] external_data = { 'id': '123', 'signup_ts': '2019-06-01 12:22', 'friends': [1, 2, '3'] } user = User(**external_data) print(user.id) print(repr(user.signup_ts)) print(user.friends) print(user.dict()) ``` </details> ``` $ mypy --strict pydantic_example.py pydantic_example.py:3: error: Module 'pydantic' has no attribute 'BaseModel' pydantic_example.py:5: error: Class cannot subclass 'BaseModel' (has type 'Any') pydantic_example.py:8: error: Incompatible types in assignment (expression has type "None", variable has type "datetime") ``` This is not false positive. Pydantic `__init__.py` uses implicit reexport (this is an error, and I don't want to ignore it using `--no-implicit-reexport`), and this example uses None for a non-optional field (this is also an error). In general, I can't trust a library that suggests putting None in a non-optional field in the very first example. This violates the mypy type system.
      author:
         url:https://github.com/andreymal
         type:Person
         name:andreymal
      datePublished:2019-12-03T22:26:55.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:17
      url:https://github.com/1072/pydantic/issues/1072
Person:
      url:https://github.com/andreymal
      name:andreymal
      url:https://github.com/andreymal
      name:andreymal
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:17
      interactionType:https://schema.org/CommentAction
      userInteractionCount:17

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