return lcp(strs, false)
}

func lcp(strs []string, pre bool) string {
	// short-circuit empty list
	if len(strs) == 0 {
		return ""
	}
	xfix := strs[0]
	// short-circuit single-element list
	if len(strs) == 1 {
		return xfix
	}
	// compare first to rest
	for _, str := range strs[1:] {
		xfixl := len(xfix)
		strl := len(str)
		// short-circuit empty strings

func (i *scannerItem) transformMetaDir() {
	split := strings.Split(i.prefix, SlashSeparator)
	if len(split) > 1 {
		i.prefix = pathJoin(split[:len(split)-1]...)
	} else {
		i.prefix = ""
	}
	// Object name is last element
	i.objectName = split[len(split)-1]
}

var applyActionsLogPrefix = color.Green("applyActions:")

func (i *scannerItem) applyHealing(ctx context.Context, o ObjectLayer, oi ObjectInfo) (size int64) {

	// Verify it implements AssociationAssigner interface
	assocAssignments := assoc.AssociationAssignments()
	if len(assocAssignments) != 1 {
		t.Errorf("Association.AssociationAssignments() should return slice with one element, got %v", assocAssignments)
	}

	if assocAssignments[0].Association != "Orders" {
		t.Errorf("Association.AssociationAssignments()[0].Association should be 'Orders', got %v", assocAssignments[0].Association)
	}

(accessed with “<code>go</code> <code>build</code> <code>-race</code>”)
do exactly this.
</p>

<p>
A read of an array, struct, or complex number
may be implemented as a read of each individual sub-value
(array element, struct field, or real/imaginary component),
in any order.
Similarly, a write of an array, struct, or complex number
may be implemented as a write of each individual sub-value,
in any order.
</p>

<p>

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidRequestParameter: {
		Code:           "InvalidRequestParameter",
		Description:    "The value of a parameter in SelectRequest element is invalid. Check the service API documentation and try again.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidDataType: {
		Code:           "InvalidDataType",

//
// ``delete``: This is the delete-marker
//
// ``legacyObject``: This is the legacy object in xlV1 format, preserved until its overwritten
//
// The most recently updated element in the array is considered the latest version.

// In addition to these we have a special kind called free-version. This is represented
// using a delete-marker and MetaSys entries. It's used to track tiered content of a

  shapes.resize(num_shapes);
  for (int i = 0; i < num_shapes; ++i) {
    if (proto_lens[i] > std::numeric_limits<int>::max()) {
      status->status = InvalidArgument(
          "length of element ", i, " in the list (", proto_lens[i],
          " bytes) is too large to be parsed by the protocol buffer library");
      return;
    }
    if (!shapes[i].ParseFromArray(protos[i], static_cast<int>(proto_lens[i]))) {

    // The following input string length is large enough to make sure that
    // copy to tstring in large mode.
    std::string source =
        "This is the " + std::to_string(i + 1) + "th. data element\n";
    TF_TString_Copy(&data[i], source.c_str(), source.length());
  }

  TF_DeleteTensor(t);
}

}  // namespace
}  // namespace tensorflow

// TODO(josh11b): Test:

// entries (e.g., the return value of TF_GraphGetTensorNumDims).
//
// If the number of dimensions in the shape is unknown or the shape is
// a scalar, `dims` will remain untouched. Otherwise, each element of
// `dims` will be set corresponding to the size of the dimension. An
// unknown dimension is represented by `-1`.
//
// Returns an error into `status` if:
//   * `output` is not in `graph`.

            unbatched multi-dimensional samples.
        *   Added a new output mode `"one_hot"` for `CategoryEncoding`,
            `StringLookup`, `IntegerLookup`, which will encode each element in
            an input batch individually, and automatically append a new output
            dimension if necessary. Use this mode on rank 1 inputs for the old