dependant=self.dependant,
                dependency_overrides_provider=dependency_overrides_provider,
            )
        )

    def matches(self, scope: Scope) -> Tuple[Match, Scope]:
        match, child_scope = super().matches(scope)
        if match != Match.NONE:
            child_scope["route"] = self
        return match, child_scope


class APIRoute(routing.Route):
    def __init__(

	info.MaxGroups = len(groupDescStats)
	info.MaxPolicies = len(policyStats)
	info.MaxILMExpiryRules = len(ilmExpiryRuleStats)
	return
}

// isReplicated returns true if count of replicated matches the number of
// sites and there is atmost one unique entry in the set.
func isReplicated(cntReplicated, total int, valSet set.StringSet) bool {
	if cntReplicated > 0 && cntReplicated < total {
		return false
	}

			},
			eventReason: "FailedScheduling",
			expectError: makePredicateError("1 node(s) had volume node affinity conflict"),
		},
		{
			name: "unbound/no matches",
			volumeBinderConfig: &volumebinding.FakeVolumeBinderConfig{
				FindReasons: volumebinding.ConflictReasons{volumebinding.ErrReasonBindConflict},
			},
			eventReason: "FailedScheduling",

	err  error // deferred error for easy chaining
	rows *Rows
}

// Scan copies the columns from the matched row into the values
// pointed at by dest. See the documentation on [Rows.Scan] for details.
// If more than one row matches the query,
// Scan uses the first row and discards the rest. If no row matches
// the query, Scan returns [ErrNoRows].
func (r *Row) Scan(dest ...any) error {
	if r.err != nil {

bool IsBroadcastableElementsAttrAndType(Type a, Type b) {
  return OpTrait::util::getBroadcastedType(a, b) != Type();
}

// Returns whether the resultant type of any broadcastable operation with
// operands `a` and `b` matches `expected_output`. Returns false if `a` is not
// broadcast-compatible with `b`.
bool OperandsBroadcastToOutputType(Type a, Type b, Type expected_output) {
  Type output_element_type =

    // and can be removed.
    auto fakeQuantOp = cast<FakeQuantOp>(op);
    for (auto* operand : fakeQuantOp.getResult().getUsers())
      if (!HasValidMinMaxAttribute(operand)) return failure();

    return success();
  }

  void rewrite(Operation* op, PatternRewriter& rewriter) const override {
    // Replace the matched FakeQuantOp by its primary operand.

  local -r staging_path=$1
  local -r gs_url=$2
  local -r tar=$3
  local -r hash=$4
  local -r basename_tar=$(basename "${tar}")

  #check whether this tar alread exists and has the same hash
  #if it matches, then don't bother uploading it again

  #remote_tar_md5 checks the remote location for the existing tarball and its md5
  #staging_path example gs://kubernetes-staging-PROJECT/kubernetes-devel

 * <p>
 * The wildcard expression may consist of two special meta
 * characters in addition to the normal filename characters. The '*'
 * character matches any number of characters in part of a name. If
 * the expression begins with one or more '?'s then exactly that
 * many characters will be matched whereas if it ends with '?'s
 * it will match that many characters <i>or less</i>.
 * <p>

    # Tests that there are variables in the model.
    variable_node_defs = _find_variables(output_graphdef)
    self.assertLen(variable_node_defs, 1)

    # Reads the variables from the checkpoint file and matches with the
    # variables found in the graph.
    checkpoint_path = os.path.join(
        self._output_saved_model_path, 'variables', 'variables'
    )

                             llvm::StringRef function_name) -> mlir::Location {
    // Use the catenation of function and node names as the lookup key into the
    // debug info. This matches the way that the key is formed on the python
    // side.
    //
    // We also use this as the name for the NameLoc for ops in function, since
    // otherwise our names could collide across functions.