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.teamcity/src/main/kotlin/configurations/StagePasses.kt
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.teamcity/src/main/kotlin/promotion/PublishNightlySnapshot.kt
schedulingPolicy = daily { this.hour = triggerHour } } else { schedulingPolicy = weekly { this.dayOfWeek = ScheduleTrigger.DAY.Saturday this.hour = triggerHour } } triggerBuild = always()
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docs/en/docs/tutorial/body-nested-models.md
"name": "The Baz" } ] } ``` !!! info Notice how the `images` key now has a list of image objects. ## Deeply nested models You can define arbitrarily deeply nested models: === "Python 3.10+" ```Python hl_lines="7 12 18 21 25" {!> ../../../docs_src/body_nested_models/tutorial007_py310.py!} ``` === "Python 3.9+"
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build-logic/documentation/src/main/groovy/gradlebuild/docs/ReleaseNotesTransformer.java
import java.io.FilterReader; import java.io.IOException; import java.io.Reader; import java.io.StringReader; import java.util.ArrayList; import java.util.List; import java.util.Set; /** * Deeply opinionated file filter that adds elements to the release notes HTML page. */ public class ReleaseNotesTransformer extends FilterReader { private File baseCss; private File releaseNotesCss;
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docs/en/docs/advanced/path-operation-advanced-configuration.md
}, "x-aperture-labs-portal": "blue" } } } } ``` ### Custom OpenAPI *path operation* schema The dictionary in `openapi_extra` will be deeply merged with the automatically generated OpenAPI schema for the *path operation*. So, you could add additional data to the automatically generated schema.
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docs/en/docs/features.md
* 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**: * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.
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