probably silently use `float32` in TensorFlow2, and a warning will be
        issued that starts with Layer "layer-name" is casting an input tensor
        from dtype float64 to the layer's dtype of float32. To fix, either set
        the default dtype to float64 with
        `tf.keras.backend.set_floatx('float64')`, or pass `dtype='float64'` to

pkg log/slog, func SetLogLoggerLevel(Level) Level #62418
pkg math/big, method (*Rat) FloatPrec() (int, bool) #50489
pkg math/rand/v2, func ExpFloat64() float64 #61716
pkg math/rand/v2, func Float32() float32 #61716
pkg math/rand/v2, func Float64() float64 #61716
pkg math/rand/v2, func Int() int #61716
pkg math/rand/v2, func Int32() int32 #61716
pkg math/rand/v2, func Int32N(int32) int32 #61716

pkg reflect, type Type interface, OverflowComplex(complex128) bool #60427
pkg reflect, type Type interface, OverflowFloat(float64) bool #60427
pkg reflect, type Type interface, OverflowInt(int64) bool #60427