@Override
      <E extends @Nullable Object> int resultIndex(
          Comparator<? super E> comparator,
          @ParametricNullness E key,
          List<? extends E> list,
          int foundIndex) {
        // Of course, we have to use binary search to find the precise
        // breakpoint...
        int lower = foundIndex;
        int upper = list.size() - 1;

    input = ImmutableList.copyOf(list);
  }

  @Benchmark
  int collections(int reps) {
    int dummy = 0;
    // Yes, this could be done more elegantly
    if (mutable) {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);
        sort(copy);
        dummy += copy.get(0);
      }
    } else {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);

     */
    public static final class ExitException extends InvokerException {
        private final int exitCode;

        public ExitException(int exitCode) {
            super("EXIT=" + exitCode);
            this.exitCode = exitCode;
        }

        public int getExitCode() {
            return exitCode;
        }
    }

  @Benchmark
  int factorial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += BigIntegerMath.factorial(factorials[j]).intValue();
    }
    return tmp;
  }

  @Benchmark
  int binomial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & 0xffff;
      tmp += BigIntegerMath.binomial(factorials[j], binomials[j]).intValue();

func TakesFunc(f func(dontWantName int) int)

type Codec struct {
	Func func(x int, y int) (z int)
}

type SI struct {
	I int
}

var SIVal = SI{}
var SIPtr = &SI{}
var SIPtr2 *SI

type T struct {
	common
}

type B struct {
	common
}

type common struct {
	i int
}

type TPtrUnexported struct {
	*common
}

from typing import Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

pkg p4, func Clone //deprecated
pkg p4, func Clone[$0 interface{ ~[]$1 }, $1 interface{}]($0) $0
pkg p4, func NewPair[$0 interface{ M }, $1 interface{ ~int }]($0, $1) Pair[$0, $1]
pkg p4, method (Pair[$0, $1]) First() $0
pkg p4, method (Pair[$0, $1]) Second() $1

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

    for (int i = 0; i < getNullLocation(); i++) {
      entries.next();
    }
    return entries.next();
  }

  /**
   * @return an array of the proper size with {@code null} as the value of the middle element.
   */
  protected Entry<K, V>[] createArrayWithNullValue() {
    Entry<K, V>[] array = createSamplesArray();
    int nullValueLocation = getNullLocation();

      int[] quotients = new int[indexes.length];
      int[] remainders = new int[indexes.length];
      // The indexes to select. In the worst case, we'll need one each side of each quantile.
      int[] requiredSelections = new int[indexes.length * 2];
      int requiredSelectionsCount = 0;
      for (int i = 0; i < indexes.length; i++) {