var noDirs []string
	for i, entry := range entries.entries() {
		if entry.name != want[i] {
			t.Errorf("entry %d, want %q, got %q", i, want[i], entry.name)
		}
		if !entry.isDir() {
			noDirs = append(noDirs, entry.name)
		}
	}
	if entries.len() != len(want) {
		t.Fatal("unexpected length:", entries.len(), "want:", len(want))
	}

	want = noDirs
	r = loadMetacacheSample(t)
	defer r.Close()

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                ).errors()
                use_errors.extend(new_errors)
            elif isinstance(error, list):
                use_errors.extend(_normalize_errors(error))
            else:
                use_errors.append(error)
        return use_errors

    def _model_rebuild(model: Type[BaseModel]) -> None:
        model.update_forward_refs()

    def _model_dump(

    assertThat(manyValuesAccumulatorByAddAllStats.min()).isEqualTo(MANY_VALUES_MIN);
    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.min()).isEqualTo(MANY_VALUES_MIN);
    // For datasets of many double values created by adding elements individually, we test many
    // combinations of finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

			}

			if s3Select.statement.IsAggregated() {
				outputRecord := s3Select.outputRecord()
				if err = s3Select.statement.AggregateResult(outputRecord); err != nil {
					break
				}
				outputQueue = append(outputQueue, outputRecord)
			}

			if !sendRecord() {
				break
			}

			if err = writer.Finish(s3Select.getProgress()); err != nil {
				// FIXME: log this error.
				err = nil
			}

		return err
	}
	relevantMessages := diag.Messages{}
	for _, msg := range res.Messages.FilterOutLowerThan(diag.Error) {
		if msg.Resource.Metadata.FullName.Name == resource.LocalName(name) {
			relevantMessages = append(relevantMessages, msg)
		}
	}
	if len(relevantMessages) > 0 {
		o, err := formatting.Print(relevantMessages, formatting.LogFormat, false)
		if err != nil {
			return err
		}
		// nolint

  /** Returns a new {@link Builder}. */
  public static <K, V> Builder<K, V> builder() {
    return new Builder<>();
  }

  /**
   * Returns a new builder with a hint for how many distinct keys are expected to be added. The
   * generated builder is equivalent to that returned by {@link #builder}, but may perform better if
   * {@code expectedKeys} is a good estimate.
   *

TEST(CAPI, ShapeInferenceError) {
  // TF_FinishOperation should fail if the shape of the added operation cannot
  // be inferred.
  TF_Status* status = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Create this failure by trying to add two nodes with incompatible shapes
  // (A tensor with shape [2] and a tensor with shape [3] cannot be added).
  const char data[] = {1, 2, 3};
  const int64_t vec2_dims[] = {2};

        for (int i = 0; i < pattern.length(); ++i) {
            final char ch = pattern.charAt(i);
            if (Character.isLetterOrDigit(ch) || Character.isWhitespace(ch)) {
                buf.append(ch);
            }
        }
        if (buf.indexOf("yy") == -1) {
            final int pos = buf.indexOf("y");
            if (pos != -1) {
                buf.replace(pos, pos + 1, "yy");
            }

	}

	for i, testCase := range testCases {
		testCase.config.SetRegion(testCase.region)
		result := []ARN{}
		for _, queue := range testCase.config.QueueList {
			result = append(result, queue.ARN)
		}

		if !reflect.DeepEqual(result, testCase.expectedResult) {
			t.Fatalf("test %v: data: expected: %v, got: %v", i+1, testCase.expectedResult, result)
		}
	}
}