if !reflect.DeepEqual(lc.Keys(), []string{"key1"}) {
		t.Fatalf("value differs from expected")
	}

	if lc.Resize(0) != 0 {
		t.Fatalf("evicted count differs from expected")
	}
	if lc.Resize(2) != 0 {
		t.Fatalf("evicted count differs from expected")
	}
	lc.Add("key2", "val2")
	if lc.Resize(1) != 1 {
		t.Fatalf("evicted count differs from expected")
	}
}

func TestLRUEdgeCases(t *testing.T) {

The `TestClient` does some magic inside to call the asynchronous FastAPI application in your normal `def` test functions, using standard pytest. But that magic doesn't work anymore when we're using it inside asynchronous functions. By running our tests asynchronously, we can no longer use the `TestClient` inside our test functions.

        assertEquals(
                "One or more required plugin parameters are invalid/missing for 'goalPrefix:goal'" + LS
                        + LS + "[0] Inside the definition for plugin 'artifactId', specify the following:"
                        + LS
                        + LS + "<configuration>"
                        + LS + "  ..."
                        + LS + "  <toAddresses>"

	for i, testCase := range testCases {
		// obtain the put bucket policy request body.
		// initialize HTTP NewRecorder, this records any mutations to response writer inside the handler.
		recV4 := httptest.NewRecorder()
		// construct HTTP request for PUT bucket policy endpoint.
		reqV4, err := newTestSignedRequestV4(http.MethodPut, getPutPolicyURL("", testCase.bucketName),

Then you could want to have **a single container** with a **process manager** starting **several worker processes** inside.

---

The main point is, **none** of these are **rules written in stone** that you have to blindly follow. You can use these ideas to **evaluate your own use case** and decide what is the best approach for your system, checking out how to manage the concepts of:

* Security - HTTPS
* Running on startup

  outputs_.clear();
  for (TF_Operation* o : outputs) {
    outputs_.emplace_back(TF_Output{o, 0});
  }
  output_values_.resize(outputs_.size());
}

void CSession::SetOutputs(const std::vector<TF_Output>& outputs) {
  ResetOutputValues();
  outputs_ = outputs;
  output_values_.resize(outputs_.size());
}

void CSession::SetTargets(std::initializer_list<TF_Operation*> targets) {
  targets_.clear();

///

If you used to rely on this behavior, now you should create the resources for background tasks inside the background task itself, and use internally only data that doesn't depend on the resources of dependencies with `yield`.

* Use the `templates` you created to render and return a `TemplateResponse`, pass the name of the template, the request object, and a "context" dictionary with key-value pairs to be used inside of the Jinja2 template.

{* ../../docs_src/templates/tutorial001_py39.py hl[4,11,15:18] *}

/// note

Before FastAPI 0.108.0, Starlette 0.29.0, the `name` was the first parameter.

}

// common - represents common elements inside <QueueConfiguration>, <CloudFunctionConfiguration>
// and <TopicConfiguration>
type common struct {
	ID     string `xml:"Id" json:"Id"`
	Filter S3Key  `xml:"Filter" json:"Filter"`
	Events []Name `xml:"Event" json:"Event"`
}

// Queue - represents elements inside <QueueConfiguration>
type Queue struct {
	common
	ARN ARN `xml:"Queue"`
}

        /** The URL of the zip file. */
        protected final URL zipUrl;

        /** Prefix of entries inside the zip. */
        protected final String prefix;

        /** Set of entry names inside the zip. */
        protected final Set<String> entryNames = newHashSet();

        /**
         * Constructs an instance.
         *
         * @param url