functions.

## Deprecations

*   TensorFlow 1.7 may be the last time we support Cuda versions below 8.0.
    Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported
    version.
*   TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0.
    Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported
    version.

## Thanks to our Contributors

**Note**: have in mind that the Pydantic team already stopped supporting Pydantic v1 for recent versions of Python, starting with Python 3.14.

You can read in the docs more about how to [Migrate from Pydantic v1 to Pydantic v2](https://fastapi.tiangolo.com/how-to/migrate-from-pydantic-v1-to-pydantic-v2/).

### Features

operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through the GHASH function. if len(nonce) == gcmStandardNonceSize { copy(counter[:], nonce) counter[gcmBlockSize-1] = 1 } else { lenBlock := make([]byte,...

operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through the GHASH function. if len(nonce) == gcmStandardNonceSize { copy(counter[:], nonce) counter[gcmBlockSize-1] = 1 } else { lenBlock := make([]byte,...