reveals the details of the TensorFlow program including graph structures,
    history of op executions at the Python (eager) and intra-graph levels, the
    runtime dtype, shape, and numerical composition of tensors, as well as their
    code locations.

## Breaking Changes

*   Increases the **minimum bazel version** required to build TF to **3.1.0**.
*   `tf.data`

internal error: unsupported denγ2") } γ2 := (q - 1) / uint32(p.γ2) r0 := CenteredMod(r, 2*γ2) diff := int32(r) - r0 if diff == q-1 { r0 = r0 - 1 return 0, r0 } else { if diff < 0 || uint32(diff)%γ2 != 0 { panic("mldsa: internal error: invalid decomposition") } r1 := uint32(diff) / (2 * γ2) return r1, r0 } } func TestDecompose(t *testing.T) { t.Run("ML-DSA-44", func(t *testing.T) { testDecompose(t, params44) }) t.Run("ML-DSA-65,87", func(t *testing.T) { testDecompose(t, params65) }) } func testDecompose(t...