This means that you can install the new Pydantic v2, and if something fails, you can install Pydantic v1 while you fix any problems you might have, but having the latest FastAPI.

There are **tests for both Pydantic v1 and v2**, and test **coverage** is kept at **100%**.

### Changes

    the tensor they are replacing
*   Exposed `tf.while_loop` (deprecated `control_flow_ops.While`)
*   run() now takes RunOptions and RunMetadata, which enable timing stats
*   Fixed lots of potential overflow problems in op kernels
*   Various performance improvements, especially for RNNs and convolutions
*   Many bugfixes
*   Nightly builds, tutorial tests, many test improvements

TestModulusAndNatSiz(t *testing.T) { // These are 126 bit (2 * _W on 64-bit architectures) values, serialized as // 128 bits worth of bytes. If leading zeroes are stripped, they fit in two // limbs, if they are not, they fit in three. This can be a problem because // modulus strips leading zeroes and nat does not. m := modulusFromBytes([]byte{ 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff}) xb := []byte{0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,...

TestModulusAndNatSiz(t *testing.T) { // These are 126 bit (2 * _W on 64-bit architectures) values, serialized as // 128 bits worth of bytes. If leading zeroes are stripped, they fit in two // limbs, if they are not, they fit in three. This can be a problem because // modulus strips leading zeroes and nat does not. m := modulusFromBytes([]byte{ 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff}) xb := []byte{0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,...