- name: "Upload artifact"
        uses: actions/upload-artifact@330a01c490aca151604b8cf639adc76d48f6c5d4 # v5.0.0
        with:
          name: SARIF file
          path: results.sarif
          retention-days: 5

      # Upload the results to GitHub's code scanning dashboard (optional).
      # Commenting out will disable upload of results to your repo's Code Scanning dashboard
      - name: "Upload to code-scanning"

		<!-- Dictionaries -->
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"mapping.txt"</arg>
		</postConstruct>
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"synonym.txt"</arg>
		</postConstruct>
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"ar/protwords.txt"</arg>
		</postConstruct>
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>

	}

	DB.Model(&User{}).Where("name = ?", user1.Name).Count(&count1).Or("name in ?", []string{user2.Name, user3.Name}).Count(&count2)
	if count1 != 1 || count2 != 3 {
		t.Errorf("multiple count in chain should works")
	}

	tx := DB.Model(&User{}).Where("name = ?", user1.Name).Session(&gorm.Session{})
	tx.Count(&count1)
	tx.Or("name in ?", []string{user2.Name, user3.Name}).Count(&count2)
	if count1 != 1 || count2 != 3 {

from pydantic import BaseModel


def custom_generate_unique_id(route: APIRoute):
    return f"foo_{route.name}"


def custom_generate_unique_id2(route: APIRoute):
    return f"bar_{route.name}"


def custom_generate_unique_id3(route: APIRoute):
    return f"baz_{route.name}"


class Item(BaseModel):
    name: str
    price: float


class Message(BaseModel):
    title: str
    description: str

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

	}

	if err := DB.Model(&User{}).Select("name, sum(age) as total").Where("name LIKE ?", "groupby%").Group("name").Having("name = ?", "groupby1").Row().Scan(&name, &total); err != nil {
		t.Errorf("no error should happen, but got %v", err)
	}

	if name != "groupby1" || total != 660 {
		t.Errorf("name should be groupby, but got %v, total should be 660, but got %v", name, total)
	}

	result := struct {
		Name  string

                          const char* name) {
  unique_tensor_ptr tensor(BoolTensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

TF_Operation* ScalarConst(int32_t v, TF_Graph* graph, TF_Status* s,
                          const char* name) {
  unique_tensor_ptr tensor(Int32Tensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

    def __init__(
        self,
        location: APIKeyIn,
        name: str,
        description: Union[str, None],
        scheme_name: Union[str, None],
        auto_error: bool,
    ):
        self.auto_error = auto_error

        self.model: APIKey = APIKey(
            **{"in": location},
            name=name,
            description=description,
        )

    }

    public void setName_Equal(String name) {
        setName_Term(name, null);
    }

    public void setName_Equal(String name, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setName_Term(name, opLambda);
    }

    public void setName_Term(String name) {
        setName_Term(name, null);
    }

    public void setName_Term(String name, ConditionOptionCall<TermQueryBuilder> opLambda) {

import importlib

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_an_py39"),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
        pytest.param("tutorial001_02_an_py39"),