requesting.order\n      );\n    });\n\n  if (!isRequired) {\n    const requesting = `\\`${requestingName}\\``;\n    const requested = `\\`${requestedName}\\``;\n    console.warn(\n      `${requested} modifier is required by ${requesting} modifier in order to work, be sure to include it before ${requesting}!`\n    );\n  }\n  return isRequired;\n}\n","/**\n * Get the opposite placement variation of the given one\n * @method\n * @memberof Popper.Utils\n * @argument {String} placement variation\n * @returns {String}...

    response = client.get("/cookie_example_examples/")
    assert response.status_code == 200, response.text


def test_openapi_schema():
    """
    Test that example overrides work:

    * pydantic model schema_extra is included
    * Body(example={}) overrides schema_extra in pydantic model
    * Body(examples{}) overrides Body(example={}) and schema_extra in pydantic model
    """

    So, it is a generator function that transfers the "generating" work to something else internally.

    By doing it this way, we can put it in a `with` block, and that way, ensure that the file-like object is closed after finishing.

/// tip

    visibility = ["//visibility:public"],
)

# DO NOT ADD ANY NEW EXCEPTIONS TO THIS LIST!
# Instead, please use public APIs or public build rules TF provides.
# If you need functionality that is not exposed, we will work with you to expand our public APIs.
# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",

			if authz == nil {
				// Print a warning that some policies mapped to a role are not defined.
				errMsg := fmt.Errorf(
					"The policies \"%s\" mapped to role ARN %s are not defined - this role may not work as expected.",
					unknownPoliciesSet.ToSlice(), arn.String())
				authZLogIf(ctx, errMsg, logger.WarningKind)
			}
		}
		sys.rolesMap[arn] = rolePolicies
	}
}

// Prints IAM role ARNs.

const (
	// ESSUnknown is default value
	ESSUnknown ESSupportStatus = "ESSUnknown"
	// ESSDeprecated -> support will be removed in future
	ESSDeprecated ESSupportStatus = "ESSDeprecated"
	// ESSUnsupported -> we won't work with this ES server
	ESSUnsupported ESSupportStatus = "ESSUnsupported"
	// ESSSupported -> all good!
	ESSSupported ESSupportStatus = "ESSSupported"
)

                logger.info("Crawler is stopped.");
            }
            exitCode = Constants.EXIT_FAIL;
        } catch (final Throwable t) {
            logger.error("Crawler does not work correctly.", t);
            exitCode = Constants.EXIT_FAIL;
        } finally {
            if (commandThread != null && commandThread.isAlive()) {
                commandThread.interrupt();
            }

        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:
    # handle Ellipsis here to make tuple[int, ...] work nicely
    return annotation is Ellipsis or not field_annotation_is_complex(annotation)


def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:
    origin = get_origin(annotation)

## Replication - Number of Processes

    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.
* Convert from and to JSON automatically.
* Document everything with OpenAPI, that can be used by:
    * Interactive documentation systems.