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docs/en/docs/tutorial/bigger-applications.md
* The file `app/routers/items.py` is inside a package, `app/routers/`, so, it's a submodule: `app.routers.items`. * The same with `app/routers/users.py`, it's another submodule: `app.routers.users`. * There's also a subdirectory `app/internal/` with another file `__init__.py`, so it's another "Python subpackage": `app.internal`. * And the file `app/internal/admin.py` is another submodule: `app.internal.admin`.
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tensorflow/api_template.__init__.py
) # Add Keras module aliases _losses = _KerasLazyLoader(globals(), submodule="losses", name="losses") _metrics = _KerasLazyLoader(globals(), submodule="metrics", name="metrics") _optimizers = _KerasLazyLoader( globals(), submodule="optimizers", name="optimizers") _initializers = _KerasLazyLoader( globals(), submodule="initializers", name="initializers") setattr(_current_module, "losses", _losses)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
docs/de/docs/tutorial/bigger-applications.md
* Das Gleiche gilt für `app/routers/users.py`, es ist ein weiteres Submodul: `app.routers.users`. * Es gibt auch ein Unterverzeichnis `app/internal/` mit einer weiteren Datei `__init__.py`, es handelt sich also um ein weiteres „Python-Subpackage“: `app.internal`. * Und die Datei `app/internal/admin.py` ist ein weiteres Submodul: `app.internal.admin`.
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docs/em/docs/tutorial/bigger-applications.md
│ │ ├── items.py # "items" submodule, e.g. import app.routers.items │ │ └── users.py # "users" submodule, e.g. import app.routers.users │ └── internal # "internal" is a "Python subpackage" │ ├── __init__.py # makes "internal" a "Python subpackage" │ └── admin.py # "admin" submodule, e.g. import app.internal.admin ``` ## `APIRouter`
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docs/en/docs/tutorial/body-nested-models.md
{!> ../../../docs_src/body_nested_models/tutorial005.py!} ``` The string will be checked to be a valid URL, and documented in JSON Schema / OpenAPI as such. ## Attributes with lists of submodels You can also use Pydantic models as subtypes of `list`, `set`, etc.: === "Python 3.10+" ```Python hl_lines="18" {!> ../../../docs_src/body_nested_models/tutorial006_py310.py!} ```
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settings.gradle.kts
include(":okhttp-android") include(":android-test") include(":android-test-app") } enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS") /** * Avoid a crash in IntelliJ triggered by Android submodules. * * ``` * java.lang.AssertionError: Can't find built-in class kotlin.Cloneable * at org.jetbrains.kotlin.builtins.KotlinBuiltIns.getBuiltInClassByFqName(KotlinBuiltIns.java:217)
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maven-core/src/main/java/org/apache/maven/project/ProjectBuilder.java
* Builds the projects for the specified POM files and optionally their children. * * @param pomFiles The POM files to build, must not be {@code null}. * @param recursive {@code true} to recursively build submodules referenced by the POM files, {@code false} to * build only the specified POM files. * @param request The project builder configuration that provides further parameters, must not be {@code null}.
Java - Registered: Sun May 05 03:35:11 GMT 2024 - Last Modified: Fri Apr 12 10:50:18 GMT 2024 - 5.4K bytes - Viewed (0) -
RELEASE.md
`TF_Run`, `TF_SessionRun`, `TF_SetAttrTensor` etc. * Renamed `tf.image.per_image_whitening()` to `tf.image.per_image_standardization()` * Move Summary protobuf constructors to `tf.summary` submodule. * Deprecate `histogram_summary`, `audio_summary`, `scalar_summary`, `image_summary`, `merge_summary`, and `merge_all_summaries`. * Combined `batch_*` and regular version of linear algebra and FFT ops. The
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fastapi/routing.py
name=response_name, type_=self.response_model, mode="serialization", ) # Create a clone of the field, so that a Pydantic submodel is not returned # as is just because it's an instance of a subclass of a more limited class # e.g. UserInDB (containing hashed_password) could be a subclass of User
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docs/en/docs/release-notes.md
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