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fastapi/params.py
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fastapi/param_functions.py
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docs/en/docs/advanced/security/index.md
## Read the Tutorial first The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.
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fastapi/utils.py
new_field.required = field.required # type: ignore[misc] new_field.model_config = field.model_config # type: ignore[attr-defined] new_field.field_info = field.field_info new_field.allow_none = field.allow_none # type: ignore[attr-defined] new_field.validate_always = field.validate_always # type: ignore[attr-defined] if field.sub_fields: # type: ignore[attr-defined]
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
docs/en/docs/alternatives.md
Flask is a "microframework", it doesn't include database integrations nor many of the things that come by default in Django. This simplicity and flexibility allow doing things like using NoSQL databases as the main data storage system. As it is very simple, it's relatively intuitive to learn, although the documentation gets somewhat technical at some points.
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.github/actions/people/app/main.py
github_sponsors_old_content = github_sponsors_path.read_text(encoding="utf-8") new_people_content = yaml.dump( people, sort_keys=False, width=200, allow_unicode=True ) new_github_sponsors_content = yaml.dump( github_sponsors, sort_keys=False, width=200, allow_unicode=True ) if ( people_old_content == new_people_content and github_sponsors_old_content == new_github_sponsors_content
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docs/en/docs/release-notes.md
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docs/en/docs/tutorial/security/oauth2-jwt.md
Create a PassLib "context". This is what will be used to hash and verify passwords. !!! tip The PassLib context also has functionality to use different hashing algorithms, including deprecated old ones only to allow verifying them, etc. For example, you could use it to read and verify passwords generated by another system (like Django) but hash any new passwords with a different algorithm like Bcrypt.
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docs/en/docs/python-types.md
# Python Types Intro Python has support for optional "type hints" (also called "type annotations"). These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable. By declaring types for your variables, editors and tools can give you better support.
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docs/en/docs/features.md
* Validate **complex structures**: * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc. * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema. * You can have deeply **nested JSON** objects and have them all validated and annotated. * **Extensible**:
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