So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

		args.EventName == event.ObjectRemovedNoOP

	if !isRemovedEvent {
		newEvent.S3.Object.ETag = args.Object.ETag
		newEvent.S3.Object.Size = args.Object.Size
		newEvent.S3.Object.ContentType = args.Object.ContentType
		newEvent.S3.Object.UserMetadata = make(map[string]string, len(args.Object.UserDefined))
		for k, v := range args.Object.UserDefined {
			if stringsHasPrefixFold(strings.ToLower(k), ReservedMetadataPrefixLower) {

			object: "",
		},
		// Test case 4 many separators and object is a directory.
		{
			path:   "/bucket/object/1/",
			bucket: "bucket",
			object: "object/1/",
		},
		// Test case 5 object has many trailing separators.
		{
			path:   "/bucket/object/1///",
			bucket: "bucket",
			object: "object/1///",
		},
		// Test case 6 object has only trailing separators.
		{
			path:   "/bucket/object///////",

            if (oldValue instanceof Object[]) {
                oldValues = (Object[]) oldValue;
            } else if (oldValue instanceof Collection<?>) {
                oldValues = ((Collection<?>) oldValue).toArray();
            } else {
                oldValues = new Object[] { oldValue };
            }
            if (value.getClass().isArray()) {
                final Object[] newValues = (Object[]) value;

    private ParamMap<Object, Object> createSnakeMap() {
        final Map<Object, Object> map = new HashMap<>();
        map.put("aaa", "111");
        map.put("aaa_bbb", "222");
        map.put("aaa_bbb_ccc", "333");
        map.put("ccc.ddd", "444");
        return new ParamMap<>(map);
    }

    private ParamMap<Object, Object> createCamelMap() {
        final Map<Object, Object> map = new HashMap<>();

        // Test: update settings api
        final Map<String, Object> updateMap = getUpdateMap();
        final Map<String, Object> searchBody = createSearchBody(SEARCH_ALL_NUM);
        List<Map<String, Object>> settings = getItemList(searchBody);

        for (Map<String, Object> setting : settings) {
            final Map<String, Object> requestBody = new HashMap<>(updateMap);
            final String idKey = getIdKey();

- MinIO object storage set up per <https://min.io/docs/minio/linux/index.html>
- Veeam requires TLS connections to the object storage.  This can be configured per <https://min.io/docs/minio/linux/operations/network-encryption.html>
- The S3 bucket, Access Key and Secret Key have to be created before and outside of Veeam.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

#ifdef __cplusplus
extern "C" {
#endif

typedef struct TFE_ContextOptions TFE_ContextOptions;

// Return a new options object.
TF_CAPI_EXPORT extern TFE_ContextOptions* TFE_NewContextOptions(void);

// Set the config in TF_ContextOptions.options.
// config should be a serialized tensorflow.ConfigProto proto.

                    "type": "object",
                    "properties": {
                        "item1": {"$ref": "#/components/schemas/Item"},
                        "item2": {"$ref": "#/components/schemas/Item"},
                    },
                },
                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {

func (r *Record) Reset() {
	r.object = simdjson.Object{}
}

// Clone the record and if possible use the destination provided.
func (r *Record) Clone(dst sql.Record) sql.Record {
	other, ok := dst.(*Record)
	if !ok {
		other = &Record{}
	}
	other.object = r.object
	return other
}

// CloneTo clones the record to a json Record.
// Values are only unmashaled on object level.