TF_Operation* add = Add(feed1, feed2, func_graph_, s_);
  DefineT(-1, {}, {{feed1, 0}, {feed2, 0}}, {{add, 3}}, {}, true);
  EXPECT_EQ(TF_OUT_OF_RANGE, TF_GetCode(s_));
  EXPECT_EQ(std::string("Node 'add' (type: 'AddN', num of outputs: 1) does "
                        "not have output 3\n\tEncountered while processing "
                        "output 0 from function 'MyFunc'"),
            std::string(TF_Message(s_)));
}

default margin-bottom\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $font-weight-normal;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n\n  // Nuke default margins from checkboxes and radios to vertically center within.\n  input[type=\"radio\"],\n...

- Kubeadm: Removed the deprecated `UpgradeAddonsBeforeControlPlane` feature gate; Ensured that the upgrade of the CoreDNS and kube-proxy addons would not be triggered until all the control plane instances were upgraded. ([#124715](https://github.com/kubernetes/kubernetes/pull/124715), [@SataQiu](https://github.com/SataQiu))

- `kubeadm`: Introduced a new feature gate `UpgradeAddonsBeforeControlPlane` to
  fix a kube-proxy skew policy misalignment. Its default value is `false`. Upgrade
  of the CoreDNS and kube-proxy addons will now trigger after all the control plane
  instances have been upgraded, unless the fearure gate is set to true. This feature

*   `tf.contrib`:

    *   `tf.contrib` has been deprecated, and functionality has been either
        migrated to the core TensorFlow API, to an ecosystem project such as
        [tensorflow/addons](https://www.github.com/tensorflow/addons) or
        [tensorflow/io](https://www.github.com/tensorflow/io), or removed
        entirely.
    *   Remove `tf.contrib.timeseries` dependency on TF distributions.

t.Run(fmt.Sprintf("line %d", lineNum), func(t *testing.T) { if A == "0" || B == "0" { t.Skip("skipping test with zero input") } if LCM == "1" { t.Skip("skipping test with LCM=1") } p, _ := bigmod.NewModulus(addOne(decodeHex(t, A))) a, _ := bigmod.NewNat().SetBytes(decodeHex(t, A), p) q, _ := bigmod.NewModulus(addOne(decodeHex(t, B))) b, _ := bigmod.NewNat().SetBytes(decodeHex(t, B), q) gcd, err := bigmod.NewNat().GCDVarTime(a, b) // GCD doesn't work if a and b are both even, but LCM handles it. if err == nil...

t.Run(fmt.Sprintf("line %d", lineNum), func(t *testing.T) { if A == "0" || B == "0" { t.Skip("skipping test with zero input") } if LCM == "1" { t.Skip("skipping test with LCM=1") } p, _ := bigmod.NewModulus(addOne(decodeHex(t, A))) a, _ := bigmod.NewNat().SetBytes(decodeHex(t, A), p) q, _ := bigmod.NewModulus(addOne(decodeHex(t, B))) b, _ := bigmod.NewNat().SetBytes(decodeHex(t, B), q) gcd, err := bigmod.NewNat().GCDVarTime(a, b) // GCD doesn't work if a and b are both even, but LCM handles it. if err == nil...