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feat(all): auto-regenerate discovery clients (#3300)
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aiplatform/v1/aiplatform-api.json

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aiplatform/v1/aiplatform-gen.go

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aiplatform/v1beta1/aiplatform-api.json

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"location": "query",
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"type": "string"
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},
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"orderBy": {
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"description": "Optional. The standard list order by string. If not specified, the default order is `create_time desc`. If specified, the default sorting order of provided fields is ascending. More detail in [AIP-132](https://google.aip.dev/132). Supported fields: * `create_time` * `update_time`",
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"location": "query",
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"type": "string"
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},
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"pageSize": {
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"description": "Optional. The standard list page size.",
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"format": "int32",
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"location": "query",
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"type": "string"
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},
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"orderBy": {
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"description": "Optional. The standard list order by string. If not specified, the default order is `create_time desc`. If specified, the default sorting order of provided fields is ascending. More detail in [AIP-132](https://google.aip.dev/132). Supported fields: * `create_time` * `update_time`",
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"location": "query",
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"type": "string"
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},
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"pageSize": {
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"description": "Optional. The standard list page size.",
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"format": "int32",
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}
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}
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},
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"revision": "20250825",
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"revision": "20250902",
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"rootUrl": "https://aiplatform.googleapis.com/",
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"schemas": {
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"CloudAiLargeModelsVisionGenerateVideoResponse": {
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"Token generation stopped because the content contains forbidden terms.",
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"Token generation stopped for potentially containing prohibited content.",
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"Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).",
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"The function call generated by the model is invalid.",
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"The function call generated by the model is syntaxtically invalid (e.g. the function call generated is not parsable).",
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"The model response was blocked by Model Armor.",
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"Token generation stopped because generated images has safety violations.",
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"Image generation stopped because generated images has other prohibited content.",
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"Image generation stopped due to recitation.",
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"Image generation stopped because of other miscellaneous issue.",
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"The tool call generated by the model is invalid."
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"The function call generated by the model is semantically invalid (e.g. a function call is generated when function calling is not enabled or the function is not in the function declaration)."
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],
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"readOnly": true,
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"type": "string"
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"$ref": "GoogleCloudAiplatformV1beta1DedicatedResources",
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"description": "A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration."
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},
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"disableContainerLogging": {
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"description": "For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to [Cloud Logging pricing](https://cloud.google.com/logging/pricing). User can disable container logging by setting this flag to true.",
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"type": "boolean"
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},
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"disableExplanations": {
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"description": "If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.",
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"type": "boolean"
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"type": "string"
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},
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"expireTime": {
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"description": "Optional. Timestamp of when this resource is considered expired. This is *always* provided on output, regardless of what `expiration` was sent on input.",
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"description": "Optional. Timestamp of when this resource is considered expired. This is *always* provided on output when `expiration` is set on input, regardless of whether `expire_time` or `ttl` was provided.",
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"format": "google-datetime",
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"type": "string"
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},
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"description": "Result for a single metric on a single instance.",
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"id": "GoogleCloudAiplatformV1beta1MetricResult",
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"properties": {
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"error": {
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"$ref": "GoogleRpcStatus",
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"description": "Output only. The error status for the metric result.",
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"readOnly": true
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},
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"explanation": {
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"description": "The explanation for the metric result.",
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"description": "Output only. The explanation for the metric result.",
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"readOnly": true,
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"type": "string"
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},
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"rubricVerdicts": {
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"description": "For rubric-based metrics, the verdicts for each rubric.",
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"description": "Output only. For rubric-based metrics, the verdicts for each rubric.",
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"items": {
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"$ref": "GoogleCloudAiplatformV1beta1RubricVerdict"
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},
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"readOnly": true,
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"type": "array"
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},
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"score": {
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"description": "The score for the metric. Please refer to each metric's documentation for the meaning of the score.",
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"description": "Output only. The score for the metric. Please refer to each metric's documentation for the meaning of the score.",
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"format": "float",
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"readOnly": true,
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"type": "number"
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}
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},
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"$ref": "GoogleCloudAiplatformV1beta1EvaluationConfig",
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"description": "Optional. Evaluation Config for Preference Optimization Job."
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},
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"exportLastCheckpointOnly": {
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"description": "Optional. If set to true, disable intermediate checkpoints for Preference Optimization and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for Preference Optimization. Default is false.",
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"type": "boolean"
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},
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"hyperParameters": {
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"$ref": "GoogleCloudAiplatformV1beta1PreferenceOptimizationHyperParameters",
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"description": "Optional. Hyperparameters for Preference Optimization."
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"description": "Optional. Used to perform consistent read-modify-write updates. If not set, a blind \"overwrite\" update happens.",
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"type": "string"
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},
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"labels": {
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"additionalProperties": {
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"type": "string"
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},
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"description": "Labels for the ReasoningEngine.",
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"type": "object"
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},
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"name": {
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"description": "Identifier. The resource name of the ReasoningEngine. Format: `projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}`",
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"type": "string"
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"description": "Required. The display name of the SandboxEnvironment.",
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"type": "string"
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},
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"metadata": {
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"description": "Output only. Additional information about the SandboxEnvironment.",
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"readOnly": true,
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"type": "any"
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},
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"name": {
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"description": "Identifier. The name of the SandboxEnvironment.",
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"type": "string"
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],
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"type": "string"
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},
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"dependencies": {
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"description": "Optional. The additional dependencies to install in the code execution environment. For example, \"pandas==2.2.3\".",
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"items": {
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"type": "string"
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},
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"type": "array"
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},
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"env": {
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"description": "Optional. The environment variables to set in the code execution environment.",
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"items": {
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"$ref": "GoogleCloudAiplatformV1beta1EnvVar"
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},
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"type": "array"
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},
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"machineConfig": {
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"description": "The machine config of the code execution environment.",
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"enum": [
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"enum": [
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"TUNING_TASK_UNSPECIFIED",
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"TUNING_TASK_I2V",
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"TUNING_TASK_T2V"
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"TUNING_TASK_T2V",
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"TUNING_TASK_R2V"
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],
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"enumDescriptions": [
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"Default value. This value is unused.",
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"Tuning task for image to video.",
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"Tuning task for text to video."
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"Tuning task for text to video.",
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"Tuning task for reference to video."
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],
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"type": "string"
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}

aiplatform/v1beta1/aiplatform-gen.go

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androidmanagement/v1/androidmanagement-api.json

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}
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}
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},
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"revision": "20250829",
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"revision": "20250902",
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"rootUrl": "https://androidmanagement.googleapis.com/",
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"schemas": {
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"AdbShellCommandEvent": {
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"type": "string"
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},
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"serialNumber": {
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"description": "The device serial number.",
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"description": "The device serial number. However, for personally-owned devices running Android 12 and above, this is the same as the enterpriseSpecificId.",
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"type": "string"
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},
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"skinShutdownTemperatures": {

androidmanagement/v1/androidmanagement-gen.go

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