@app.route('/logout', methods=['GET'])
def logout():
    response = app.make_response(redirect(request.referrer))
    session.pop('user', None)
    return response

# a helper function for asyncio.gather, does not return a value


async def getProductReviewsIgnoreResponse(product_id, headers):
    getProductReviews(product_id, headers)

// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource",
	// "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
	// Note: "ContainerResource" type is available on when the feature-gate
	// HPAContainerMetrics is enabled

            if (lockingState.mustValidateLockState() && !lockingState.getLockedDependencies().isEmpty()) {
                // Invalid lock state, need to do a real resolution to gather locking failures
                return delegate.resolveGraph(resolveContext);
            }

        def projectLock = workerLeaseService.getProjectLock(path("root"), path(":project"))
        def otherBuildAllProjectsLock = workerLeaseService.getAllProjectsLock(path("other"))
        def otherBuildProjectLock = workerLeaseService.getProjectLock(path("other"), path(":project"))

        given:
        assert !lockIsHeld(allProjectsLock)
        assert workerLeaseService.currentProjectLocks.empty

        when:

    return %0 : tensor<2x3x2x2xf32>
  }
// CHECK: %[[GATHER:.+]] = "stablehlo.gather"(%[[ARG_0]], %[[ARG_1]]) {{.*}} : (tensor<3x4x2x!quant.uniform<i8:f32, {{.*}}>>, tensor<2x3x2xi32>) -> tensor<2x3x2x2x!quant.uniform<i8:f32, {{.*}}>>
// CHECK: %[[UNIFORM_QUANTIZE_0:.+]] = stablehlo.uniform_quantize %[[GATHER]] : tensor<2x3x2x2x!quant.uniform<i8:f32, {{.*}}>>

### Zipkin

[Zipkin](https://zipkin.io/) is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

// CHECK: %[[v4:.*]] = "tf.Shape"(%arg1) : (tensor<?x36x?x32xf32>) -> tensor<4xi32>
// CHECK: %[[v5:.*]] = "tf.Gather"(%3, %[[cst_1]]) <{validate_indices = true}> : (tensor<3xi32>, tensor<2xi32>) -> tensor<2xi32>
// CHECK: %[[v6:.*]] = "tf.Gather"(%4, %[[cst_2]]) <{validate_indices = true}> : (tensor<4xi32>, tensor<1xi32>) -> tensor<1xi32>

// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource",
	// "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
	// Note: "ContainerResource" type is available on when the feature-gate
	// HPAContainerMetrics is enabled

  // user-provided specs are appended.
  //
  // It should look like:
  //
  // specs {matcher {function_name {regex: ".*"}} method {static_range_ptq {}}}
  // specs {
  //   matcher {function_name {regex: "composite_conv.*"}}
  //   method {static_range_ptq {...}}}
  // }
  // specs {
  //   matcher {function_name {regex: "composite_dot_general_fn_1"}}
  //   method {no_quantization {}}
  // }

}

// Helper function for unsorted segment ops.
// Gathers params for positive segment ids and gathers 0 for inputs with
// negative segment id.
Output GatherDropNegatives(const Scope& scope, const Output& params,
                           Output& zero_clipped_indices, Output& is_positive) {
  auto gathered = Gather(scope, params, zero_clipped_indices);
  // Replace gathered params of negative indices with 0.