{* ../../docs_src/custom_docs_ui/tutorial001.py hl[8] *}

### Include the custom docs

Now you can create the *path operations* for the custom docs.

You can reuse FastAPI's internal functions to create the HTML pages for the docs, and pass them the needed arguments:

  * Pods can now consume Secret data in environment variables and inject those
environment variables into a container’s command-line args.
  * Stable version of Heapster which scales up to 1000 nodes: more metrics, reduced
latency, reduced cpu/memory consumption (~4mb per monitored node).
  * Pods now have a security context which allows users to specify:
     * attributes which apply to the whole pod:
        * User ID

    )

    fun noNewExchanges()

    fun cancel()
  }

  companion object {
    /**
     * The timeout to use while discarding a stream of input data. Since this is used for connection
     * reuse, this timeout should be significantly less than the time it takes to establish a new
     * connection.
     */
    const val DISCARD_STREAM_TIMEOUT_MILLIS = 100
  }

        newTop.distinctElements = distinctElements - 1;
        newTop.totalCount = totalCount - oldElemCount;
        return newTop.rebalance();
      }
    }

    // Removes the minimum node from this subtree to be reused elsewhere
    @CheckForNull
    private AvlNode<E> removeMin(AvlNode<E> node) {
      if (left == null) {
        return right;
      } else {
        left = left.removeMin(node);
        distinctElements--;

			if err != io.EOF {
				r.err = errCSVParsingError(err)
				return errCSVParsingError(err)
			}
			return err
		}

		if r.args.FileHeaderInfo == use {
			// Copy column names since records will be reused.
			columns := append(make([]string, 0, len(record)), record...)
			r.columnNames = columns
		}
	}

	r.bufferPool.New = func() interface{} {
		return make([]byte, csvSplitSize+1024)
	}

	}
	// List all of all test cases to validate various cases of reduce errors.
	testCases := []struct {
		errs        []error
		ignoredErrs []error
		err         error
	}{
		// Validate if have reduced properly.
		{[]error{
			errDiskNotFound,
			errDiskNotFound,
			errDiskFull,
		}, []error{}, errErasureReadQuorum},
		// Validate if have no consensus.
		{[]error{
			errDiskFull,
			errDiskNotFound,

          annotationClass.getDeclaringClass(),
          returnType.getComponentType());
    }
  }

  // This is public so that tests for Feature enums we haven't yet imagined
  // can reuse it.
  public static <E extends Enum<?> & Feature<?>> void assertGoodFeatureEnum(
      Class<E> featureEnumClass) {
    final Class<?>[] classes = featureEnumClass.getDeclaredClasses();

		return cfg, err
	}
	cfg.RemoteTransportDeadline = remoteTransportDeadline

	listQuorum := env.Get(EnvAPIListQuorum, kvs.GetWithDefault(apiListQuorum, DefaultKVS))
	switch listQuorum {
	case "strict", "optimal", "reduced", "disk", "auto":
	default:
		return cfg, fmt.Errorf("invalid value %v for list_quorum: will default to 'strict'", listQuorum)
	}
	cfg.ListQuorum = listQuorum

			t.Fatal(err)
		}
		_, err = globalIAMSys.PolicyDBSet(ctx, accessKey, testKMSPolicyName, regUser, false)
		if err != nil {
			t.Fatal(err)
		}
	} else {
		err = globalIAMSys.DeletePolicy(ctx, testKMSPolicyName, false)
		if err != nil {
			t.Fatal(err)
		}
		_, err = globalIAMSys.PolicyDBSet(ctx, accessKey, "", regUser, false)
		if err != nil {
			t.Fatal(err)
		}
	}

  num_retvals = 1;
  executed = false;
  TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());
  EXPECT_FALSE(executed);
  ASSERT_FALSE(TF_GetCode(status.get()) == TF_OK);

  // Custom devices can refuse to do type-based dispatch (as hcustom1 is
  // configured to do)
  matmul.reset(MatMulOp(context.get(), hcustom1.get(), hcpu.get()));
  num_retvals = 1;
  executed = false;