which could be challenging to read through, while not being actionable
        for end users. As of TF 2.7, TensorFlow filters internal frames in most
        errors that it raises, to keep stack traces short, readable, and focused
        on what's actionable for end users (their own code).

    This behavior can be disabled by calling
    `tf.debugging.disable_traceback_filtering()`, and can be re-enabled via

## 0.126.0

### Upgrades

* ➖ Drop support for Pydantic v1, keeping short temporary support for Pydantic v2's `pydantic.v1`. PR [#14575](https://github.com/fastapi/fastapi/pull/14575) by [@tiangolo](https://github.com/tiangolo).
    * The minimum version of Pydantic installed is now `pydantic >=2.7.0`.

"testing/quick" ) func (v Element) String() string { return hex.EncodeToString(v.Bytes()) } // quickCheckConfig returns a quick.Config that scales the max count by the // given factor if the -short flag is not set. func quickCheckConfig(slowScale int) *quick.Config { cfg := new(quick.Config) if !testing.Short() { cfg.MaxCountScale = float64(slowScale) } return cfg } func generateFieldElement(rand *mathrand.Rand) Element { const maskLow52Bits = (1 << 52) - 1 return Element{ rand.Uint64() & maskLow52Bits,...

"testing/quick" ) func (v Element) String() string { return hex.EncodeToString(v.Bytes()) } // quickCheckConfig returns a quick.Config that scales the max count by the // given factor if the -short flag is not set. func quickCheckConfig(slowScale int) *quick.Config { cfg := new(quick.Config) if !testing.Short() { cfg.MaxCountScale = float64(slowScale) } return cfg } func generateFieldElement(rand *mathrand.Rand) Element { const maskLow52Bits = (1 << 52) - 1 return Element{ rand.Uint64() & maskLow52Bits,...