mirror of
https://github.com/immich-app/immich.git
synced 2024-12-14 12:00:55 +02:00
140 lines
4.2 KiB
Dart
140 lines
4.2 KiB
Dart
|
//
|
||
|
// AUTO-GENERATED FILE, DO NOT MODIFY!
|
||
|
//
|
||
|
// @dart=2.12
|
||
|
|
||
|
// ignore_for_file: unused_element, unused_import
|
||
|
// ignore_for_file: always_put_required_named_parameters_first
|
||
|
// ignore_for_file: constant_identifier_names
|
||
|
// ignore_for_file: lines_longer_than_80_chars
|
||
|
|
||
|
part of openapi.api;
|
||
|
|
||
|
class RecognitionConfig {
|
||
|
/// Returns a new [RecognitionConfig] instance.
|
||
|
RecognitionConfig({
|
||
|
required this.enabled,
|
||
|
required this.maxDistance,
|
||
|
required this.minScore,
|
||
|
required this.modelName,
|
||
|
this.modelType,
|
||
|
});
|
||
|
|
||
|
bool enabled;
|
||
|
|
||
|
int maxDistance;
|
||
|
|
||
|
int minScore;
|
||
|
|
||
|
String modelName;
|
||
|
|
||
|
///
|
||
|
/// Please note: This property should have been non-nullable! Since the specification file
|
||
|
/// does not include a default value (using the "default:" property), however, the generated
|
||
|
/// source code must fall back to having a nullable type.
|
||
|
/// Consider adding a "default:" property in the specification file to hide this note.
|
||
|
///
|
||
|
ModelType? modelType;
|
||
|
|
||
|
@override
|
||
|
bool operator ==(Object other) => identical(this, other) || other is RecognitionConfig &&
|
||
|
other.enabled == enabled &&
|
||
|
other.maxDistance == maxDistance &&
|
||
|
other.minScore == minScore &&
|
||
|
other.modelName == modelName &&
|
||
|
other.modelType == modelType;
|
||
|
|
||
|
@override
|
||
|
int get hashCode =>
|
||
|
// ignore: unnecessary_parenthesis
|
||
|
(enabled.hashCode) +
|
||
|
(maxDistance.hashCode) +
|
||
|
(minScore.hashCode) +
|
||
|
(modelName.hashCode) +
|
||
|
(modelType == null ? 0 : modelType!.hashCode);
|
||
|
|
||
|
@override
|
||
|
String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
|
||
|
|
||
|
Map<String, dynamic> toJson() {
|
||
|
final json = <String, dynamic>{};
|
||
|
json[r'enabled'] = this.enabled;
|
||
|
json[r'maxDistance'] = this.maxDistance;
|
||
|
json[r'minScore'] = this.minScore;
|
||
|
json[r'modelName'] = this.modelName;
|
||
|
if (this.modelType != null) {
|
||
|
json[r'modelType'] = this.modelType;
|
||
|
} else {
|
||
|
// json[r'modelType'] = null;
|
||
|
}
|
||
|
return json;
|
||
|
}
|
||
|
|
||
|
/// Returns a new [RecognitionConfig] instance and imports its values from
|
||
|
/// [value] if it's a [Map], null otherwise.
|
||
|
// ignore: prefer_constructors_over_static_methods
|
||
|
static RecognitionConfig? fromJson(dynamic value) {
|
||
|
if (value is Map) {
|
||
|
final json = value.cast<String, dynamic>();
|
||
|
|
||
|
return RecognitionConfig(
|
||
|
enabled: mapValueOfType<bool>(json, r'enabled')!,
|
||
|
maxDistance: mapValueOfType<int>(json, r'maxDistance')!,
|
||
|
minScore: mapValueOfType<int>(json, r'minScore')!,
|
||
|
modelName: mapValueOfType<String>(json, r'modelName')!,
|
||
|
modelType: ModelType.fromJson(json[r'modelType']),
|
||
|
);
|
||
|
}
|
||
|
return null;
|
||
|
}
|
||
|
|
||
|
static List<RecognitionConfig> listFromJson(dynamic json, {bool growable = false,}) {
|
||
|
final result = <RecognitionConfig>[];
|
||
|
if (json is List && json.isNotEmpty) {
|
||
|
for (final row in json) {
|
||
|
final value = RecognitionConfig.fromJson(row);
|
||
|
if (value != null) {
|
||
|
result.add(value);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
return result.toList(growable: growable);
|
||
|
}
|
||
|
|
||
|
static Map<String, RecognitionConfig> mapFromJson(dynamic json) {
|
||
|
final map = <String, RecognitionConfig>{};
|
||
|
if (json is Map && json.isNotEmpty) {
|
||
|
json = json.cast<String, dynamic>(); // ignore: parameter_assignments
|
||
|
for (final entry in json.entries) {
|
||
|
final value = RecognitionConfig.fromJson(entry.value);
|
||
|
if (value != null) {
|
||
|
map[entry.key] = value;
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
return map;
|
||
|
}
|
||
|
|
||
|
// maps a json object with a list of RecognitionConfig-objects as value to a dart map
|
||
|
static Map<String, List<RecognitionConfig>> mapListFromJson(dynamic json, {bool growable = false,}) {
|
||
|
final map = <String, List<RecognitionConfig>>{};
|
||
|
if (json is Map && json.isNotEmpty) {
|
||
|
// ignore: parameter_assignments
|
||
|
json = json.cast<String, dynamic>();
|
||
|
for (final entry in json.entries) {
|
||
|
map[entry.key] = RecognitionConfig.listFromJson(entry.value, growable: growable,);
|
||
|
}
|
||
|
}
|
||
|
return map;
|
||
|
}
|
||
|
|
||
|
/// The list of required keys that must be present in a JSON.
|
||
|
static const requiredKeys = <String>{
|
||
|
'enabled',
|
||
|
'maxDistance',
|
||
|
'minScore',
|
||
|
'modelName',
|
||
|
};
|
||
|
}
|
||
|
|