eventListener.callStart(this)
  }

  @Throws(IOException::class)
  internal fun getResponseWithInterceptorChain(): Response {
    // Build a full stack of interceptors.
    val interceptors = mutableListOf<Interceptor>()
    interceptors += client.interceptors
    interceptors += RetryAndFollowUpInterceptor(client)

      return ImmutableMap.of();
    }
  }

  private static final ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> INSTANCE_OF =
      ImmutableMap.<Class<? extends Throwable>, Predicate<Throwable>>builder()
          .put(ArithmeticException.class, e -> e instanceof ArithmeticException)
          .put(
              ArrayIndexOutOfBoundsException.class,
              e -> e instanceof ArrayIndexOutOfBoundsException)

// FileParseError indicates a provided file was unable to be parsed.
type FileParseError struct{}

const FileParseString = "Some files couldn't be parsed."

func (f AnalyzerFoundIssuesError) Error() string {
	var sb strings.Builder
	sb.WriteString(fmt.Sprintf("Analyzers found issues when analyzing %s.\n", analyzeTargetAsString()))
	sb.WriteString(fmt.Sprintf("See %s for more information about causes and resolutions.", url.ConfigAnalysis))
	return sb.String()

                            .mojos(getMojos().stream()
                                    .map(MojoDescriptor::getMojoDescriptorV4)
                                    .collect(Collectors.toList()))
                            .build();
                }
            }
        }
        return pluginDescriptorV4;
    }

			}
		}

		if db.Statement.SQL.Len() == 0 {
			db.Statement.SQL.Grow(180)
			db.Statement.AddClauseIfNotExists(clause.Insert{})
			db.Statement.AddClause(ConvertToCreateValues(db.Statement))

			db.Statement.Build(db.Statement.BuildClauses...)
		}

		isDryRun := !db.DryRun && db.Error == nil
		if !isDryRun {
			return
		}

		ok, mode := hasReturning(db, supportReturning)
		if ok {

          <type>String</type>
        </field>
        <field>
          <name>buildNumber</name>
          <version>1.0.0+</version>
          <description>The incremental build number</description>
          <type>int</type>
        </field>
        <field>
          <name>localCopy</name>
          <version>1.0.0+</version>

# Using Dataclasses

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

		if derr := c.Delete(bucket); derr != nil {
			return newError(bucket, derr)
		}
		return err
	}
	defer xhttp.DrainBody(resp.Body)

	if resp.StatusCode != http.StatusOK {
		var errorStringBuilder strings.Builder
		io.Copy(&errorStringBuilder, io.LimitReader(resp.Body, resp.ContentLength))
		errorString := errorStringBuilder.String()
		if resp.StatusCode == http.StatusConflict {

multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use...

* API keys in:
    * Headers.
    * Query parameters.
    * Cookies, etc.

Plus all the security features from Starlette (including **session cookies**).

All built as reusable tools and components that are easy to integrate with your systems, data stores, relational and NoSQL databases, etc.

### Dependency Injection