log.Debugf("ignoring error deleting optional iptables rule: %v", err)
			}
		}
	}
	return errors.Join(delErrs...)
}

// Setup iptables rules for in-pod mode. Ideally this should be an idempotent function.
// NOTE that this expects to be run from within the pod network namespace!
func (cfg *IptablesConfigurator) CreateInpodRules(log *istiolog.Scope, hostProbeSNAT, hostProbeV6SNAT netip.Addr, ingressMode bool) error {

          && method.getParameterTypes().length != 0 // only the seeded hash functions
          && !method.getName().equals("concatenating") // don't test Hashing.concatenating()
          && !method.getName().equals("goodFastHash") // tested in testGoodFastHashEquals
          && !method.getName().startsWith("hmac")) { // skip hmac functions
        Object[] params1 = new Object[method.getParameterTypes().length];

import java.util.Iterator;
import java.util.LinkedHashSet;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.Consumer;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * CompactHashSet is an implementation of a Set. All optional operations (adding and removing) are

}

func hasPartErr(partErrs []int) bool {
	return slices.IndexFunc(partErrs, func(i int) bool { return i != checkPartSuccess }) > -1
}

// disksWithAllParts - This function needs to be called with
// []StorageAPI returned by listOnlineDisks. Returns,
//
// - disks which have all parts specified in the latest xl.meta.
//

	defer nsLock.Unlock(lkctx)

	// Freeze all incoming S3 API calls before running speedtest.
	globalNotificationSys.ServiceFreeze(ctx, true)

	// Unfreeze as soon as request context is canceled or when the function returns.
	go func() {
		<-ctx.Done()
		globalNotificationSys.ServiceFreeze(ctx, false)
	}()

	durationStr := r.Form.Get(peerRESTDuration)
	duration, err := time.ParseDuration(durationStr)

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

👈 💪 ⤴️ ⚙️ 💖:

```Python

/*!
 * ReDoc - OpenAPI/Swagger-generated API Reference Documentation
 * -------------------------------------------------------------
 *   Version: "2.0.0-rc.18"
 *   Repo: https://github.com/Redocly/redoc
 */
!function(e,t){"object"==typeof exports&&"object"==typeof m

...
```

```

There are 2 main differences from a normal *path operation*:

* It doesn't need to have any actual code, because your app will never call this code. It's only used to document the *external API*. So, the function could just have `pass`.

///

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: List[Image]
```

or in Python 3.9 and above:

```Python
images: list[Image]
```

as in:

//// tab | Python 3.9+

			cleanupFns[i]()
		}
		return nil, PreConditionFailed{}
	}
	return &GetObjectReader{
		ObjInfo:    oi,
		Reader:     r,
		cleanUpFns: cleanupFns,
	}, nil
}

// ObjReaderFn is a function type that takes a reader and returns
// GetObjectReader and an error. Request headers are passed to provide
// encryption parameters. cleanupFns allow cleanup funcs to be
// registered for calling after usage of the reader.