func getCachedDlogger() *dlogger {
	mp := acquirem()
	// We don't return a cached dlogger if we're running on the
	// signal stack in case the signal arrived while in
	// get/putCachedDlogger. (Too bad we don't have non-atomic
	// exchange!)
	var l *dlogger
	if getg() != mp.gsignal {
		l = mp.dlogCache
		mp.dlogCache = nil
	}
	releasem(mp)
	return l
}

// putCachedDlogger attempts to return l to the local cache. It

        }

        @Input
        public String getURL() {
            return URL;
        }

        @Input
        public String getA() {
            return a;
        }

        @Input
        public String getb() {
            return b;
        }
    }
    //CHECKSTYLE:ON

jaystone776 <******@****.***> 1711838806 +0800

        /**
         * @return the i
         */
        public int getI() {
            return i;
        }

        /**
         * @param s
         *            the s to set
         */
        public void setS(final String s) {
            this.s = s;
        }

        /**
         * @return the s
         */
        public String getS() {
            return s;
        }
    }

  fi

  if [[ ! -e "${KUBE_ROOT}/version" ]]; then
    echo "Can't determine Kubernetes release." >&2
    echo "${BASH_SOURCE[0]} should only be run from a prebuilt Kubernetes release." >&2
    echo "Did you mean to use get-kube.sh instead?" >&2
    exit 1
  fi

  KUBE_VERSION=$(cat "${KUBE_ROOT}/version")
}

function detect_client_info() {
  if [ -n "${KUBERNETES_CLIENT_OS-}" ]; then
    CLIENT_PLATFORM="${KUBERNETES_CLIENT_OS}"

// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-get-arithmetic-count %s | FileCheck %s

func.func @testConv2D(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32> {
^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>):
  // CHECK: _arithmetic_count = 230686720 : i64

// RUN: tac-opt-all-backends -tfl-get-op-cost %s -split-input-file -verify-diagnostics | FileCheck %s

func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} {
  // CHECK: tac.cost = 7.864320e+05
  %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32>

Nils Lindemann <******@****.***> 1713469999 +0200

    Here **FastAPI** won't get confused because you are using `Depends`.

!!! check
    The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.

    We are not restricted to having only one dependency that can return that type of data.

## Other models

Nils Lindemann <******@****.***> 1711822085 +0100