import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

				}
			}
		})
	}
}

type operandTest struct {
	input, output string
}

type badOperandTest struct {
	input, error string
}

// Examples collected by scanning all the assembly in the standard repo.

var amd64OperandTests = []operandTest{
	{"$(-1.0)", "$(-1.0)"},
	{"$(0.0)", "$(0.0)"},
	{"$(0x2000000+116)", "$33554548"},
	{"$(0x3F<<7)", "$8064"},

   * maxLength} chars in length and will end with the given {@code truncationIndicator}. Otherwise,
   * the sequence will be returned as a string with no changes to the content.
   *
   * <p>Examples:
   *
   * <pre>{@code
   * Ascii.truncate("foobar", 7, "..."); // returns "foobar"
   * Ascii.truncate("foobar", 5, "..."); // returns "fo..."
   * }</pre>
   *

 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>If you do chain your operations manually, you may want to use {@link FluentFuture}.
 *

	// test cases with sample input and expected output.
	testCases := []struct {
		bucketName string
		// bucket policy to be set,
		// set as request body.
		bucketPolicyReader io.ReadSeeker
		// length in bytes of the bucket policy being set.

semi-abstract instruction set and turn it into instructions to be
input to the linker.
If you want to see what the instructions look like in assembly for a given architecture, say amd64, there
are many examples in the sources of the standard library, in packages such as
<a href="/pkg/runtime/"><code>runtime</code></a> and
<a href="/pkg/math/big/"><code>math/big</code></a>.
You can also examine what the compiler emits as assembly code

 * code verbose. Whenever following this advice, you should check whether {@code Stream} could be
 * adopted more comprehensively in your code; the end result may be quite a bit simpler.
 *
 * <h3>See also</h3>
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/OrderingExplained">{@code Ordering}</a>.
 *
 * @author Jesse Wilson

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

		c.Assert(err, nil)

		// assert the http response status code.
		c.Assert(response.StatusCode, http.StatusOK)
	}
}

func (s *TestSuiteCommon) TestBucketSQSNotificationWebHook(c *check) {
	// Sample bucket notification.

你将看到自动交互式 API 文档（由 <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a 提供） >):

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

## 备选的 API 文档