conditions {
        matches("teamcity.build.branch", "gh-readonly-queue/.*")
    }
}

fun BuildStep.skipConditionally(buildType: BuildType? = null) {
    // we need to run CompileALl unconditionally because of artifact dependency
    if (buildType !is CompileAll) {
        conditions {
            doesNotEqual("skip.build", "true")
        }
    }
}

fun buildToolGradleParameters(

		h.ID, _ = h.disk.GetDiskID()
		h.PoolIndex, h.SetIndex, h.DiskIndex = h.disk.GetDiskLoc()
	}
	h.mu.Unlock()
	return h.save(ctx)
}

// save will unconditionally save the tracker and will be created if not existing.
func (h *healingTracker) save(ctx context.Context) error {
	h.mu.Lock()
	if h.PoolIndex < 0 || h.SetIndex < 0 || h.DiskIndex < 0 {
		// Attempt to get location.

       *   user task -- which means that we already got past this code (or else we exited early
       *   above))
       */
      // Unconditionally set; there is no risk of throwing away a queued task from another thread,
      // because in order for the current task to run on this executor the previous task must have

      return this;
    }

    AvlNode<E> add(
        Comparator<? super E> comparator, @ParametricNullness E e, int count, int[] result) {
      /*
       * It speeds things up considerably to unconditionally add count to totalCount here,
       * but that destroys failure atomicity in the case of count overflow. =(
       */
      int cmp = comparator.compare(e, getElement());
      if (cmp < 0) {

#     release_cpu_windows:             Toolchain and CUDA options for Windows CPU builds.
# LINT.IfChange
# Default build options. These are applied first and unconditionally.

# These are used to generate the ML wheel version string.
# See the explanation in the file comment of
# @local_xla//third_party/py/python_wheel.bzl.
# The generated version suffix is used in

# ops. Since other languages use the same libtensorflow_framework.so, op
# libraries are language agnostic.
#
# This shared object is not used unless framework_shared_object=true (set in the
# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that

		hasSessionPolicy = false
		return
	}

	// As the session policy exists, even if the parent is the root account, it
	// must be restricted by it. So, we set `.IsOwner` to false here
	// unconditionally.
	sessionPolicyArgs := args
	sessionPolicyArgs.IsOwner = false

	// Sub policy is set and valid.
	return hasSessionPolicy, subPolicy.IsAllowed(sessionPolicyArgs)
}

		z.deleteAll(context.Background(), minioMetaBucket, pathJoin(bucketMetaPrefix, bucket))
	}

	return toObjectErr(err, bucket)
}

// deleteAll will rename bucket+prefix unconditionally across all disks to
// minioMetaTmpDeletedBucket + unique uuid,
// Note that set distribution is ignored so it should only be used in cases where
// data is not distributed across sets. Errors are logged but individual

- Removed the `JobPodFailurePolicy` feature gate, which graduated to GA in 1.31 and was unconditionally enabled. ([#129498](https://github.com/kubernetes/kubernetes/pull/129498), [@carlory](https://github.com/carlory))
- Removed the deprecated `pod_scheduling_duration_seconds` metric. Users need to

- NONW ([#132890](https://github.com/kubernetes/kubernetes/pull/132890), [@atiratree](https://github.com/atiratree)) [SIG Apps]
- Promoted the `SeparateTaintEvictionController` feature gate to GA; it is now enabled unconditionally. ([#122634](https://github.com/kubernetes/kubernetes/pull/122634), [@carlory](https://github.com/carlory)) [SIG API Machinery, Apps, Node and Testing]