int length = s1.length();
    if (s1 == s2) {
      return true;
    }
    if (length != s2.length()) {
      return false;
    }
    for (int i = 0; i < length; i++) {
      char c1 = s1.charAt(i);
      char c2 = s2.charAt(i);
      if (c1 == c2) {
        continue;
      }
      int alphaIndex = getAlphaIndex(c1);

app = FastAPI()


fake_items_db = [{"item_name": "Foo"}, {"item_name": "Bar"}, {"item_name": "Baz"}]


class CommonQueryParams:
    def __init__(self, q: Union[str, None] = None, skip: int = 0, limit: int = 100):
        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: Annotated[Any, Depends(CommonQueryParams)]):
    response = {}

app = FastAPI()


fake_items_db = [{"item_name": "Foo"}, {"item_name": "Bar"}, {"item_name": "Baz"}]


class CommonQueryParams:
    def __init__(self, q: Union[str, None] = None, skip: int = 0, limit: int = 100):
        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: Annotated[CommonQueryParams, Depends()]):
    response = {}

        for (int i = 0; i < num; i++) {
          list.add((double) counter.getAndIncrement());
        }
        builder.addAll(iterable(list));
      }
    },
    ADD_STREAM {
      @Override
      void doIt(ImmutableDoubleArray.Builder builder, AtomicInteger counter) {
        double[] array = new double[RANDOM.nextInt(10)];
        for (int i = 0; i < array.length; i++) {

    Integer[] webSafeColorArray = webSafeColors.toArray(new Integer[webSafeColors.size()]);
    assertEquals(0x000000, (int) webSafeColorArray[0]);
    assertEquals(0x000033, (int) webSafeColorArray[1]);
    assertEquals(0x000066, (int) webSafeColorArray[2]);
    assertEquals(0x003300, (int) webSafeColorArray[6]);
    assertEquals(0x330000, (int) webSafeColorArray[36]);
    ImmutableSet<Integer> addedColor = webSafeColorsBuilder.add(LAST_COLOR_ADDED).build();

}

TF_Tensor* BoolTensor(bool v) {
  const int num_bytes = sizeof(bool);
  bool* values = new bool[1];
  values[0] = v;
  return TF_NewTensor(TF_BOOL, nullptr, 0, values, num_bytes, &BoolDeallocator,
                      nullptr);
}

TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) {
  int64_t num_values = 1;
  for (int i = 0; i < num_dims; ++i) {
    num_values *= dims[i];
  }

    //                                                                        Small Helper
    //                                                                        ============
    protected void verifyCrudMode(final int crudMode, final int expectedMode) {
        if (crudMode != expectedMode) {
            throwValidationError(messages -> {
                messages.addErrorsCrudInvalidMode(GLOBAL, String.valueOf(expectedMode), String.valueOf(crudMode));

    //                                                                        Small Helper
    //                                                                        ============
    protected void verifyCrudMode(final int crudMode, final int expectedMode) {
        if (crudMode != expectedMode) {
            throwValidationError(messages -> {
                messages.addErrorsCrudInvalidMode(GLOBAL, String.valueOf(expectedMode), String.valueOf(crudMode));

    return unfiltered;
  }

  @Override
  public Predicate<? super Entry<K, V>> entryPredicate() {
    return Maps.keyPredicateOnEntries(keyPredicate);
  }

  @Override
  public int size() {
    int size = 0;
    for (Collection<V> collection : asMap().values()) {
      size += collection.size();
    }
    return size;
  }

  @Override
  public boolean containsKey(@CheckForNull Object key) {

from typing import Annotated

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})