// Initiate a list objects operation inside a zip file based in the input params
		listObjectsV2Info, err = listObjectsV2InArchive(ctx, objectAPI, bucket, prefix, token, delimiter, maxKeys, startAfter, r.Header)
	} else {
		// Initiate a list objects operation based on the input params.
		// On success would return back ListObjectsInfo object to be
		// marshaled into S3 compatible XML header.

func hasNUL(s string) bool {
	return strings.Contains(s, "\x00")
}

// isASCII reports whether the input is an ASCII C-style string.
func isASCII(s string) bool {
	for _, c := range s {
		if c >= 0x80 || c == 0x00 {
			return false
		}
	}
	return true
}

// toASCII converts the input to an ASCII C-style string.
// This is a best effort conversion, so invalid characters are dropped.

                                    <div class="form-inline col-sm-9">
                                        <la:errors property="depth"/>
                                        <input type="number" name="depth" id="depth"
                                               value="${f:h(depth)}" class="form-control"
                                               min="0" max="10000">

	)
	ErrInvalidBatchKeyRotationWorkersWait = newErrFn(
		"Invalid value for batch key rotation workers wait",
		"Please input a non-negative duration",
		"keyrotation_workers_wait should be > 0ms",
	)
	ErrInvalidBatchReplicationWorkersWait = newErrFn(
		"Invalid value for batch replication workers wait",
		"Please input a non-negative duration",
		"replication_workers_wait should be > 0ms",
	)

package com.google.common.math;

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

# Response Model - Return Type

You can declare the type used for the response by annotating the *path operation function* **return type**.

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

//// tab | Python 3.10+

```Python hl_lines="16  21"
{!> ../../docs_src/response_model/tutorial001_01_py310.py!}
```

                        saveBuffer();
                        const value = line.replace(promptLiteralStart, "").trimEnd();
                        useLines.push({
                            type: "input",
                            value: value
                        });
                    } else if (line.startsWith("// ")) {
                        saveBuffer();

        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "files"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "file"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {