```

> NOTE: for a reasonable test outcome, make sure the assumed user has at least permission/policy to list all buckets. That policy would look like below:

```
{
  "version": "2012-10-17",
  "statement": [
    {
      "effect": "Allow",
      "action": [
        "s3:ListAllMyBuckets"
      ],
      "resource": [
        "arn:aws:s3:::*"
      ]
    }
  ]
}
```

- [`KT-60518`](https://youtrack.jetbrains.com/issue/KT-60518) K2 IDE. False positive [NON_MEMBER_FUNCTION_NO_BODY] when completing function with `Complete current statement`
- [`KT-60323`](https://youtrack.jetbrains.com/issue/KT-60323) K2 IDE. "KotlinExceptionWithAttachments: Unexpected returnTypeRef. Expected is FirResolvedTypeRef, but was FirImplicitTypeRefImpl" exception on contract return type

                whenMissingCase
            },
            firDiagnostic.b,
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.NON_EXHAUSTIVE_WHEN_STATEMENT) { firDiagnostic ->
        NonExhaustiveWhenStatementImpl(
            firDiagnostic.a,
            firDiagnostic.b.map { whenMissingCase ->
                whenMissingCase
            },

            }
        }

        return firLeaf
    }

    private fun computeCommonParent(statements: List<KtElement>): FirElement {
        require(statements.isNotEmpty())

        val parent = statements[0].parent as KtElement

        for (i in 1..<statements.size) {
            require(statements[i].parent == parent)
        }

)

load("@pypi//:requirements.bzl", "install_deps")

install_deps()

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.

```{ .python .annotate hl_lines="2  10-12  14" }
{!../../../docs_src/custom_response/tutorial008.py!}
```

1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.
2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.

@OptIn(KtAnalysisNonPublicApi::class)
internal class KtFe10DataFlowInfoProvider(override val analysisSession: KtAnalysisSession) : KtDataFlowInfoProvider() {
    override fun getExitPointSnapshot(statements: List<KtExpression>): KtDataFlowExitPointSnapshot {
        throw NotImplementedError("Method is not implemented for FE 1.0")
    }

    define_values = {"no_xla_deps_in_cuda": "true"},
    visibility = ["//visibility:public"],
)

# Crosses between framework_shared_object and a bunch of other configurations
# due to limitations in nested select() statements.
config_setting(
    name = "framework_shared_object",
    define_values = {"framework_shared_object": "true"},
    visibility = ["//visibility:public"],
)

config_setting(

  // +optional
  optional string resourceVersion = 6;

  // If referring to a piece of an object instead of an entire object, this string
  // should contain a valid JSON/Go field access statement, such as desiredState.manifest.containers[2].
  // For example, if the object reference is to a container within a pod, this would take on a value like:

Create functions with a name that starts with `test_` (this is standard `pytest` conventions).

Use the `TestClient` object the same way as you do with `httpx`.

Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).

```Python hl_lines="2  12  15-18"
{!../../../docs_src/app_testing/tutorial001.py!}
```

!!! tip