import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial004_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [
        (
            "/items",

	if err := e.EncodeToken(start); err != nil {
		return err
	}
	if s.IsValid() {
		if err := e.EncodeElement(s.ReplicaModifications, xml.StartElement{Name: xml.Name{Local: "ReplicaModifications"}}); err != nil {
			return err
		}
	}
	return e.EncodeToken(xml.EndElement{Name: start.Name})

      "    signature {"
      "      name: 'AddVariablesFunction'"
      "      input_arg {"
      "        name: 'var'"
      "        type: DT_RESOURCE"
      "      }"
      "      output_arg {"
      "        name: 'sum'"
      "        type: DT_FLOAT"
      "      }"
      "    }"
      "    node_def {"
      "      name: 'read0'"
      "      op: 'ReadVariableOp'"
      "      input: 'var'"

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter*

```

</div>

Sehen wir uns an, was jede dieser Optionen bedeutet:

* `main:app`: Das ist die gleiche Syntax, die auch von Uvicorn verwendet wird. `main` bedeutet das Python-Modul mit dem Namen `main`, also eine Datei `main.py`. Und `app` ist der Name der Variable, welche die **FastAPI**-Anwendung ist.
    * Stellen Sie sich einfach vor, dass `main:app` einer Python-`import`-Anweisung wie der folgenden entspricht:

        ```Python

		t.Errorf("managers count should be %v, but got %v", 2, len(managers))
	}

	// Append
	DB.Model(&users).Association("Company").Append(
		&Company{Name: "company-slice-append-1"},
		&Company{Name: "company-slice-append-2"},
		&Company{Name: "company-slice-append-3"},
	)

	AssertAssociationCount(t, users, "Company", 3, "After Append")

	DB.Model(&users).Association("Manager").Append(

    contains("teamcity.agent.jvm.os.name", os.agentRequirement)
}

fun Requirements.requiresArch(os: Os, arch: Arch) {
    if (os == Os.MACOS) {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnMac)
    } else {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnLinuxWindows)
    }
}

fun Requirements.requiresNotEc2Agent() {
    doesNotContain("teamcity.agent.name", "ec2")

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.repository.legacy;

import javax.inject.Named;

/**
 * Wagon with per-lookup instantiation strategy.
 */
@Named("perlookup")
public class PerLookupWagon extends WagonMock {

    public String[] getSupportedProtocols() {
        return new String[] {"perlookup"};
    }

name: Functional Tests

on:
  pull_request:
    branches:
      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  build:
    name: Go ${{ matrix.go-version }} on ${{ matrix.os }} - healing
    runs-on: ${{ matrix.os }}
    strategy:

				Columns: []clause.Column{{Name: "role"}},
				Having:  []clause.Expression{clause.Eq{"role", "admin"}},
			}},
			"SELECT * FROM `users` GROUP BY `role` HAVING `role` = ?",
			[]interface{}{"admin"},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},
				Having:  []clause.Expression{clause.Eq{"role", "admin"}},