return
		}
	}
}

func createTestInput(n int) []byte {
	input := make([]byte, n)
	for i := range input {
		// 101 and 251 are arbitrary prime numbers.
		// The idea is to create an input sequence
		// which doesn't repeat too frequently.
		input[i] = byte(i % 251)
		if i%101 == 0 {
			input[i] ^= byte(i / 101)
		}
	}
	return input

    * New documentation about returning arbitrary `dict`s in responses: [Response with arbitrary `dict`](https://fastapi.tiangolo.com/tutorial/extra-models/#response-with-arbitrary-dict).
    * **Technical Details**:
        * When declaring a `response_model` it is used directly to generate the response content, from whatever was returned from the *path operation function*.

        TF_TensorToTensorV1(c_inputs[i], &(*input_pairs)[i].second);
    if (!status->status.ok()) return false;
  }
  return true;
}

// Create an empty tensor of type 'dtype'. 'shape' can be arbitrary, but has to
// result in a zero-sized tensor.
static TF_Tensor* EmptyTensor(TF_DataType dtype,
                              const tensorflow::TensorShape& shape) {
  static char empty;
  int64_t nelems = 1;

  EXPECT_TRUE(absl::StrContains(s, expected))
      << "'" << s << "' does not contain '" << expected << "'";
}

// Returns the GPU device name if there is one (with arbitrary tie breaking if
// there are more than one), or "" otherwise.
string GPUDeviceName(TF_Session* session) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

Object.keys(this.options.modifiers)\n      .map(name => ({\n        name,\n        ...this.options.modifiers[name],\n      }))\n      // sort the modifiers by order\n      .sort((a, b) => a.order - b.order);\n\n    // modifiers have the ability to execute arbitrary code when Popper.js get inited\n    // such code is executed in the same order of its modifier\n    // they could add new properties to their options configuration\n    // BE AWARE: don't add options to `options.modifiers.name` but to `modifierOptions`!\n...

- Kubelet can now parse PEM file containing both TLS certificate and key in arbitrary order. Previously key was always required to be first. ([#69536](https://github.com/kubernetes/kubernetes/pull/69536), [@awly](https://github.com/awly))

affinity/anti-affinity allow you to specify rules for restricting which node(s) a pod can schedule onto, based on the labels on the node. Pod affinity/anti-affinity allow you to specify rules for spreading and packing pods relative to one another, across arbitrary topologies (node, zone, etc.) These affinity rules are now be specified in a new-in-1.6 `affinity` field of the PodSpec. Kubernetes 1.6 continues to support the alpha `scheduler.alpha.kubernetes.io/affinity` annotation on the Pod if you explicitly...

- Kubelet: Closed a loophole that allowed static Pods to reference arbitrary ResourceClaims. Even though these Pods failed to run due to a sanity check, such references are now explicitly disallowed. ([#131844](https://github.com/kubernetes/kubernetes/pull/131844), [@pohly](https://github.com/pohly)) [SIG Apps, Auth and Node]...

- Kubelet: close a loophole where static pods could reference arbitrary ResourceClaims. The pods created by the kubelet then don't run due to a sanity check, but such references shouldn't be allowed regardless. ([#131875](https://github.com/kubernetes/kubernetes/pull/131875), [@pohly](https://github.com/pohly)) [SIG...

* the test/e2e/e2e.test binary can test arbitrary storage drivers, see the `-storage.testdriver` parameter ([#72836](https://github.com/kubernetes/kubernetes/pull/72836), [@pohly](https://github.com/pohly))