- github.com/containerd/cgroups: [0dbf7f0](https://github.com/containerd/cgroups/tree/0dbf7f0)
- github.com/containerd/continuity: [aaeac12](https://github.com/containerd/continuity/tree/aaeac12)
- github.com/containerd/fifo: [a9fb20d](https://github.com/containerd/fifo/tree/a9fb20d)
- github.com/containerd/go-runc: [5a6d9f3](https://github.com/containerd/go-runc/tree/5a6d9f3)

normal;\n}\n\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n\n.container,\n.container-fluid,\n.container-sm,\n.container-md,\n.container-lg,\n.container-xl {\n  width: 100%;\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n\n@media (min-width: 576px) {\n  .container, .container-sm {\n    max-width: 540px;\n  }\n}\n\n@media (min-width: 768px) {\n  .container, .container-sm, .container-md {\n    max-width: 720px;\n  }\n}\n\n@media (min-width: 992px)...

768px) {\n  .container-md, .container-sm, .container {\n    max-width: 720px;\n  }\n}\n@media (min-width: 992px) {\n  .container-lg, .container-md, .container-sm, .container {\n    max-width: 960px;\n  }\n}\n@media (min-width: 1200px) {\n  .container-xl, .container-lg, .container-md, .container-sm, .container {\n    max-width: 1140px;\n  }\n}\n@media (min-width: 1400px) {\n  .container-xxl, .container-xl, .container-lg, .container-md, .container-sm, .container {\n    max-width: 1320px;\n  }\n}\n:root {\n...

    * Migrate to LiteRT for continued updates; the new repo can be found at https://github.com/google-ai-edge/LiteRT.  For more information and NPU EAP signup, reach out to the team at: [g.co/ai/LiteRT-NPU-EAP](https://g.co/ai/LiteRT-NPU-EAP).

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

standard and make binary.BigEndian suitable for marshaling these values, the // bits are stored in big endian order. For example: // // the coefficient of x⁰ can be obtained by v.low >> 63. // the coefficient of x⁶³ can be obtained by v.low & 1. // the coefficient of x⁶⁴ can be obtained by v.high >> 63. // the coefficient of x¹²⁷ can be obtained by v.high & 1. type gcmFieldElement struct { low, high uint64 } // GHASH is exposed to allow crypto/cipher to implement non-AES GCM modes. // It is not allowed...

standard and make binary.BigEndian suitable for marshaling these values, the // bits are stored in big endian order. For example: // // the coefficient of x⁰ can be obtained by v.low >> 63. // the coefficient of x⁶³ can be obtained by v.low & 1. // the coefficient of x⁶⁴ can be obtained by v.high >> 63. // the coefficient of x¹²⁷ can be obtained by v.high & 1. type gcmFieldElement struct { low, high uint64 } // GHASH is exposed to allow crypto/cipher to implement non-AES GCM modes. // It is not allowed...

    /** The key of the configuration. e.g. Data Crawler - {0} */
    String JOB_TEMPLATE_TITLE_DATA = "job.template.title.data";

    /** The key of the configuration. e.g. return container.getComponent("crawlJob").logLevel("info").webConfigIds([{0}] as String[]).fileConfigIds([{1}] as String[]).dataConfigIds([{2}] as String[]).jobExecutor(executor).execute(); */
    String JOB_TEMPLATE_SCRIPT = "job.template.script";

the `response_model` (e.g. you return a `UserInDB` that inherits from `User` but contains extra fields, like `hashed_password`, and `User` is used in the `response_model`), it would still pass the validation (because `UserInDB` is a subclass of `User`) and the object would be returned as-is, including the `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es)...