}

    @Override
    protected <RESULT extends ThumbnailQueue> RESULT createEntity(Map<String, Object> source, Class<? extends RESULT> entityType) {
        try {
            final RESULT result = entityType.newInstance();
            result.setCreatedBy(DfTypeUtil.toString(source.get("createdBy")));
            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));

			if testCase.result.Bucket != result.Bucket {
				t.Fatalf("Test %d: %s: Expected Bucket name to be '%s', but found '%s' instead", i+1, instanceType, testCase.result.Bucket, result.Bucket)
			}
			if testCase.result.Name != result.Name {
				t.Errorf("Test %d: %s: Expected Object name to be %s, but instead found it to be %s", i+1, instanceType, testCase.result.Name, result.Name)
			}

                {
                    "name": "Baz",
                    "price": "thirty five point four",
                },
            ],
        ),
    ],
):
    results = {"item_id": item_id, "item": item}

    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):
    results = {"item_id": item_id, "item": item}

    return line
  }

  /** Reads headers or trailers. */
  fun readHeaders(): Headers {
    val result = Headers.Builder()
    while (true) {
      val line = readLine()
      if (line.isEmpty()) break
      result.addLenient(line)
    }
    return result.build()
  }

  companion object {
    private const val HEADER_LIMIT = 256 * 1024
  }

        int result = 17;
        result = 31 * result + a.getGroupId().hashCode();
        result = 31 * result + a.getArtifactId().hashCode();
        result = 31 * result + a.getType().hashCode();
        if (a.getVersion() != null) {
            result = 31 * result + a.getVersion().hashCode();
        }
        result = 31 * result + (a.getClassifier() != null ? a.getClassifier().hashCode() : 0);

      gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  absl::Status BuildOnesLike(const TapeTensor& t,
                             AbstractTensorHandle** result) const override;

  // Looks up the ID of a Gradient.
  int64_t TensorId(AbstractTensorHandle* tensor) const override;

  @Override
  public Set<K> keySet() {
    Set<K> result = keySet;
    return (result == null) ? keySet = createKeySet() : result;
  }

  abstract Set<K> createKeySet();

  @LazyInit @CheckForNull private transient Multiset<K> keys;

  @Override
  public Multiset<K> keys() {
    Multiset<K> result = keys;
    return (result == null) ? keys = createKeys() : result;
  }

  abstract Multiset<K> createKeys();

        }
        return DfTypeUtil.toLocalDateTime(value);
    }

    @SuppressWarnings("unchecked")
    @Override
    protected <RESULT extends SearchLog> RESULT createEntity(final Map<String, Object> source, final Class<? extends RESULT> entityType) {
        try {
            final RESULT result = super.createEntity(source, entityType);
            final Object searchFieldObj = source.get("searchField");

        result.setVersionConstraint(versionConstraint);

        if (versionConstraint.getRange() == null) {
            result.addVersion(versionConstraint.getVersion());
        } else {
            VersionRange.Bound lowerBound = versionConstraint.getRange().getLowerBound();
            if (lowerBound != null
                    && lowerBound.equals(versionConstraint.getRange().getUpperBound())) {