Davis Kirkendall 6b8d2babaa Fix #947, #1483, #1247: allow inner type vars to be present in parent generic classes (#1989)
* Fix #947, fix #1483, fix #1247 allow inner type vars to be present in parent generic classes

- Rename generics._is_type to _is_generic in response to comment:
  https://github.com/samuelcolvin/pydantic/pull/1989#discussion_r503400391
- Add more explicit type assertion in generics test
- Add generics tests and unify naming
- Move deep generic tests all into same place in code
- Unify naming convention in deep generic tests using naming of existing tests
- Add tests for multiple inheritance and multiple type vars
- Add generic tests for type hint resolution cases
- Fix edge cases for handling parameters in generic models
- Resolve parameters correctly
- Add tests for special cases like callables
- Add returning generic type directly if parameters and arguments are
  identical.

* Apply review comments

 - Add docstrings
 - Small refactor `generics.__concrete_name__`
 - Small refactor of `generics.resolve_type_hints`
 - Change `is_identity_typevars_map` to more generic and clearer
  `all_identical` and move into utils.
 - rename "resolve_type_hint" to "replace_types" so as to not get
   confused with "resolve_annotations" from `pydantic.typing`

* Fix generics test coverage

* Update pydantic/generics.py, remove unneeded annotation

mypy understands list comprehensions as they are now

Co-authored-by: Eric Jolibois <em.jolibois@gmail.com>

Co-authored-by: Eric Jolibois <em.jolibois@gmail.com>
2020-12-30 18:23:55 +00:00
2019-08-18 15:58:45 +01:00
2020-11-01 15:30:36 +00:00
2019-01-17 20:59:58 +00:00
2020-12-01 10:26:49 +00:00
2020-04-14 11:59:03 +01:00
2020-10-25 15:03:33 +00:00

pydantic

CI Coverage pypi CondaForge downloads versions license

Data validation and settings management using Python type hinting.

Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; validate it with pydantic.

Help

See documentation for more details.

Installation

Install using pip install -U pydantic or conda install pydantic -c conda-forge. For more installation options to make pydantic even faster, see the Install section in the documentation.

A Simple Example

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123

Contributing

For guidance on setting up a development environment and how to make a contribution to pydantic, see Contributing to Pydantic.

Reporting a Security Vulnerability

See our security policy.

S
Description
No description provided
Readme MIT 5.9 MiB
Languages
Python 99.7%
Makefile 0.3%