len(b) { panic("crypto/ecdh: internal error: mismatched isLess inputs") } // Copy the values into a fixed-size preallocated little-endian buffer. // 72 bytes is enough for every scalar in this package, and having a fixed // size lets us avoid heap allocations. if len(a) > 72 { panic("crypto/ecdh: internal error: isLess input too large") } bufA, bufB := make([]byte, 72), make([]byte, 72) for i := range a { bufA[i], bufB[i] = a[len(a)-i-1], b[len(b)-i-1] } // Perform a subtraction with borrow. var borrow...

len(b) { panic("crypto/ecdh: internal error: mismatched isLess inputs") } // Copy the values into a fixed-size preallocated little-endian buffer. // 72 bytes is enough for every scalar in this package, and having a fixed // size lets us avoid heap allocations. if len(a) > 72 { panic("crypto/ecdh: internal error: isLess input too large") } bufA, bufB := make([]byte, 72), make([]byte, 72) for i := range a { bufA[i], bufB[i] = a[len(a)-i-1], b[len(b)-i-1] } // Perform a subtraction with borrow. var borrow...

 * Improvements and fixes in Keras loss masking:

## 0.30.0

* Add support for Pydantic's ORM mode:
    * Updated documentation about SQL with SQLAlchemy, using Pydantic models with ORM mode, SQLAlchemy models with relations, separation of files, simplification of code and other changes. New docs: [SQL (Relational) Databases](https://fastapi.tiangolo.com/tutorial/sql-databases/).