}

    private List<ValueFrequency> getMostFrequentValues(Map<String, StringStats> stats, int limit) {
        return stats.entrySet().stream()
                .map(e -> new ValueFrequency(e.getKey(), e.getValue().getOccurrences()))
                .sorted((a, b) -> Long.compare(b.frequency, a.frequency))
                .limit(limit)
                .toList();
    }

    public void printAnalysis() {

from typing import Annotated, 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: Annotated[FilterParams, Query()]):

type Select struct {
	Expression *SelectExpression `parser:"\"SELECT\" @@"`
	From       *TableExpression  `parser:"\"FROM\" @@"`
	Where      *Expression       `parser:"( \"WHERE\" @@ )?"`
	Limit      *LitValue         `parser:"( \"LIMIT\" @@ )?"`
}

// SelectExpression represents the items requested in the select
// statement
type SelectExpression struct {
	All         bool                 `parser:"  @\"*\""`

  }

  /**
   * Performs maintenance on this pool, evicting the connection that has been idle the longest if
   * either it has exceeded the keep alive limit or the idle connections limit.
   *
   * Returns the duration in nanoseconds to sleep until the next scheduled call to this method.
   * Returns -1 if no further cleanups are required.
   */
  fun closeConnections(now: Long): Long {

"src/compress/flate/testdata/huffman-rand-1k.wb.expect-noinput", "src/compress/flate/testdata/huffman-rand-limit.dyn.expect", "src/compress/flate/testdata/huffman-rand-limit.dyn.expect-noinput", "src/compress/flate/testdata/huffman-rand-limit.golden", "src/compress/flate/testdata/huffman-rand-limit.in", "src/compress/flate/testdata/huffman-rand-limit.wb.expect", "src/compress/flate/testdata/huffman-rand-limit.wb.expect-noinput", "src/compress/flate/testdata/huffman-rand-max.golden", "src/compress/flate/te...

          exempt-issue-labels: 'override-stale'
          #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale
          exempt-pr-labels: "override-stale"
          #Limit the No. of API calls in one run default value is 30.
          operations-per-run: 1000
          days-before-issue-stale: 7
          days-before-issue-close: 7
          stale-issue-label: "stale"

      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_PR_TOKEN }}
      - name: FastAPI People Contributors
        run: python ./scripts/contributors.py
        env:

      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
      - name: FastAPI People Sponsors
        run: python ./scripts/sponsors.py
        env:
          SPONSORS_TOKEN: ${{ secrets.SPONSORS_TOKEN }}

		{Name: "LimitUser6", Age: 20},
	}

	DB.Create(&users)

	var users1, users2, users3 []User
	DB.Order("age desc").Limit(3).Find(&users1).Limit(5).Find(&users2).Limit(-1).Find(&users3)

	if len(users1) != 3 || len(users2) != 5 || len(users3) <= 5 {
		t.Errorf("Limit should works, users1 %v users2 %v users3 %v", len(users1), len(users2), len(users3))
	}
}

func TestOffset(t *testing.T) {

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()):