## Die Instanz als Abhängigkeit verwenden

Dann könnten wir diesen `checker` in einem `Depends(checker)` anstelle von `Depends(FixedContentQueryChecker)` verwenden, da die Abhängigkeit die Instanz `checker` und nicht die Klasse selbst ist.

Und beim Auflösen der Abhängigkeit ruft **FastAPI** diesen `checker` wie folgt auf:

```Python
checker(q="somequery")

## Use the instance as a dependency

Then, we could use this `checker` in a `Depends(checker)`, instead of `Depends(FixedContentQueryChecker)`, because the dependency is the instance, `checker`, not the class itself.

And when solving the dependency, **FastAPI** will call this `checker` like:

```Python
checker(q="somequery")
```

```Python hl_lines="16"
{!../../../docs_src/dependencies/tutorial011.py!}
```

这样就可以**参数化**依赖项，它包含 `checker.fixed_content` 的属性 - `"bar"`。

## 把实例作为依赖项

然后，不要再在 `Depends(checker)` 中使用 `Depends(FixedContentQueryChecker)`， 而是要使用 `checker`，因为依赖项是类实例 - `checker`，不是类。

处理依赖项时，**FastAPI** 以如下方式调用 `checker`：

```Python
checker(q="somequery")
```

……并用*路径操作函数*的参数 `fixed_content_included` 返回依赖项的值：

```Python hl_lines="20"

{!../../../docs_src/dependencies/tutorial011.py!}
```

& 👈 🌌 👥 💪 "🔗" 👆 🔗, 👈 🔜 ✔️ `"bar"` 🔘 ⚫️, 🔢 `checker.fixed_content`.

## ⚙️ 👐 🔗

⤴️, 👥 💪 ⚙️ 👉 `checker` `Depends(checker)`, ↩️ `Depends(FixedContentQueryChecker)`, ↩️ 🔗 👐, `checker`, 🚫 🎓 ⚫️.

& 🕐❔ ❎ 🔗, **FastAPI** 🔜 🤙 👉 `checker` 💖:

```Python
checker(q="somequery")
```

...& 🚶‍♀️ ⚫️❔ 👈 📨 💲 🔗 👆 *➡ 🛠️ 🔢* 🔢 `fixed_content_included`:

import org.jetbrains.kotlin.analysis.api.lifetime.withValidityAssertion
import org.jetbrains.kotlin.analysis.api.types.KtCapturedType
import org.jetbrains.kotlin.analysis.api.types.KtTypeNullability
import org.jetbrains.kotlin.types.checker.NewCapturedType

internal class KtFe10NewCapturedType(
    override val fe10Type: NewCapturedType,
    override val analysisContext: Fe10AnalysisContext
) : KtCapturedType(), KtFe10Type {

        possibleExplicitReceiver: KtExpression?,
    ): KtExtensionApplicabilityResult = analysisSession.withValidityAssertion {
        val checker = KtFirCompletionExtensionCandidateChecker(analysisSession, nameExpression, possibleExplicitReceiver, originalFile)
        return with(analysisSession) {
            checker.computeApplicability(firSymbolForCandidate)
        }
    }
}

private class KtFirCompletionExtensionCandidateChecker(

not use beta APIs, unless you [repackage] them. **If your
code is a library, we strongly recommend using the [Guava Beta Checker] to
ensure that you do not use any `@Beta` APIs!**

[Guava Beta Checker]: https://github.com/google/guava-beta-checker

<!-- References -->

[guava-snapshot-api-diffs]: https://guava.dev/releases/snapshot-jre/api/diffs/
[Guava Explained]: https://github.com/google/guava/wiki/Home
[Guava Beta Checker]: https://github.com/google/guava-beta-checker

<!-- References -->

[using Guava in your build]: https://github.com/google/guava/wiki/UseGuavaInYourBuild

import org.jetbrains.kotlin.resolve.calls.inference.CapturedType
import org.jetbrains.kotlin.resolve.descriptorUtil.annotationClass
import org.jetbrains.kotlin.types.*
import org.jetbrains.kotlin.types.checker.NewCapturedType
import org.jetbrains.kotlin.types.checker.NewTypeVariableConstructor
import org.jetbrains.kotlin.types.error.ErrorType
import org.jetbrains.kotlin.types.typeUtil.builtIns

internal class KtFe10DebugTypeRenderer {

)

tf_cuda_cc_test(
    name = "gradient_checker_test",
    size = "small",
    srcs = [
        "gradient_checker_test.cc",
    ],
    args = ["--heap_check="],
    tags = tf_cuda_tests_tags() + [
        "no_cuda_asan",  # b/175330074
    ],
    deps = [
        ":abstract_tensor_handle",
        ":c_api_experimental",
        ":gradient_checker",
        ":unified_api_testutil",