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docs/en/docs/tutorial/bigger-applications.md
### Import `APIRouter` You import it and create an "instance" the same way you would with the class `FastAPI`: ```Python hl_lines="1 3" title="app/routers/users.py" {!../../../docs_src/bigger_applications/app/routers/users.py!} ``` ### *Path operations* with `APIRouter` And then you use it to declare your *path operations*. Use it the same way you would use the `FastAPI` class:
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docs/en/docs/tutorial/security/oauth2-jwt.md
``` </div> !!! tip With `passlib`, you could even configure it to be able to read passwords created by **Django**, a **Flask** security plug-in or many others. So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.
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docs/en/docs/tutorial/encoder.md
For example, it doesn't receive `datetime` objects, as those are not compatible with JSON. So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>. The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`. You can use `jsonable_encoder` for that.
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guava-testlib/src/com/google/common/collect/testing/testers/ConcurrentMapRemoveTester.java
public void testRemove_nullKeyQueriesUnsupported() { try { assertFalse(getMap().remove(null, v3())); } catch (NullPointerException tolerated) { // since the operation would be a no-op, the exception is not required } expectUnchanged(); } @MapFeature.Require(value = SUPPORTS_REMOVE, absent = ALLOWS_NULL_VALUE_QUERIES) public void testRemove_nullValueQueriesUnsupported() {
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Wed Feb 21 16:49:06 GMT 2024 - 3.8K bytes - Viewed (0) -
android/guava-testlib/src/com/google/common/collect/testing/testers/ConcurrentMapRemoveTester.java
public void testRemove_nullKeyQueriesUnsupported() { try { assertFalse(getMap().remove(null, v3())); } catch (NullPointerException tolerated) { // since the operation would be a no-op, the exception is not required } expectUnchanged(); } @MapFeature.Require(value = SUPPORTS_REMOVE, absent = ALLOWS_NULL_VALUE_QUERIES) public void testRemove_nullValueQueriesUnsupported() {
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android/guava-testlib/src/com/google/common/collect/testing/testers/ConcurrentMapReplaceEntryTester.java
// the operation would be a no-op, so exceptions are allowed but not required } expectUnchanged(); } @MapFeature.Require(absent = SUPPORTS_PUT) public void testReplaceEntry_unsupportedAbsentKey() { try { getMap().replace(k3(), v3(), v4()); } catch (UnsupportedOperationException tolerated) { // the operation would be a no-op, so exceptions are allowed but not required
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.github/ISSUE_TEMPLATE/11-language-change.yml
description: "Is the goal of this change a performance improvement? If so, what quantifiable improvement should we expect? How would we measure it?" validations: required: false - type: textarea id: learning-curve attributes: label: "Would this change make Go easier or harder to learn, and why?" - type: textarea id: cost-description attributes:
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docs/en/docs/how-to/sql-databases-peewee.md
But if the value of the context variable (the default `dict`) was set in that normal `def` function, it would create a new value that would stay only in that thread of the threadpool, and the rest of the code (like the *path operation functions*) wouldn't have access to it. In `get_db()` we can only set values in the `dict`, but not the entire `dict` itself.
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android/guava/src/com/google/common/util/concurrent/ExecutionError.java
public class ExecutionError extends Error { /* * Ideally, this class would have exposed only constructors that require a non-null cause. See * https://github.com/jspecify/jspecify-reference-checker/blob/61aafa4ae52594830cfc2d61c8b113009dbdb045/src/main/java/com/google/jspecify/nullness/NullSpecTransfer.java#L789 * and https://github.com/jspecify/jspecify/issues/490. *
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docs/en/docs/tutorial/body-nested-models.md
This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models). This would be useful if you want to receive keys that you don't already know. --- Another useful case is when you want to have keys of another type (e.g., `int`). That's what we are going to see here. In this case, you would accept any `dict` as long as it has `int` keys with `float` values:
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