import static java.lang.annotation.ElementType.CONSTRUCTOR;
import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.RetentionPolicy.RUNTIME;

/**
 * Marks a dependency injection point for constructor, method, or field injection.
 * <p>
 * This annotation is used to identify injection points where the container should

from typing import Annotated

import pytest
from fastapi import FastAPI, Query
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/optional-list-str")
async def read_optional_list_str(
    p: Annotated[list[str] | None, Query()] = None,

from typing import Annotated

import pytest
from fastapi import Cookie, FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/optional-str")
async def read_optional_str(p: Annotated[str | None, Cookie()] = None):
    return {"p": p}

    /** Field name for count values in aggregation results. */
    private static final String COUNT = "count";

    /** Field name for key values in aggregation results. */
    private static final String KEY = "key";

    /** Field name for ID values in aggregation results. */
    private static final String ID = "id";

    /** Field name for user information ID in aggregations. */

    return set(re.findall("{(.*?)}", path))


_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "
    "If you are using a return type annotation that is not a valid Pydantic "
    "field (e.g. Union[Response, dict, None]) you can disable generating the "
    "response model from the type annotation with the path operation decorator "

        json.append("{\n");

        boolean first = true;
        for (final Map.Entry<String, Object> entry : source.entrySet()) {
            final String field = entry.getKey();
            if (excludeFields.contains(field)) {
                continue;
            }

            final Object value = entry.getValue();
            if (value == null) {
                continue;
            }

    }

    @Test
    public void test_idFieldAccess() {
        // Test direct field access through inheritance
        TestDictionaryItem item = new TestDictionaryItem();

        // Direct field assignment
        item.id = 999L;

        // Verify through getter
        assertEquals(999L, item.getId());

        // Verify direct field access
        assertEquals(999L, item.id);
    }

    @Test

		err = errors.New("invalid ARN string format")
		return arn, err
	}

	if ps[1] != string(arnPartitionMinio) {
		err = errors.New("invalid ARN - bad partition field")
		return arn, err
	}

	if ps[2] != string(arnServiceIAM) {
		err = errors.New("invalid ARN - bad service field")
		return arn, err
	}

	// ps[3] is region and is not validated here. If the region is invalid,

from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, ConfigDict, Field


@pytest.fixture(name="client")
def get_client():
    app = FastAPI()

    class ModelWithRef(BaseModel):
        ref: str = Field(validation_alias="$ref", serialization_alias="$ref")
        model_config = ConfigDict(validate_by_alias=True, serialize_by_alias=True)

        dataIndexHelper.setCrawlingExecutionInterval(interval);

        try {
            Field field = DataIndexHelper.class.getDeclaredField("crawlingExecutionInterval");
            field.setAccessible(true);
            long actualInterval = (Long) field.get(dataIndexHelper);
            assertEquals(interval, actualInterval);
        } catch (Exception e) {