// available in the memory directly following the Type value.
type TFlag uint8

const (
	// TFlagUncommon means that there is a data with a type, UncommonType,
	// just beyond the shared-per-type common data.  That is, the data
	// for struct types will store their UncommonType at one offset, the
	// data for interface types will store their UncommonType at a different
	// offset.  UncommonType is always accessed via a pointer that is computed

				return err
			})
			if err != nil {
				return nil, err
			}
		}
	}

	_, data, err := readDiskGoMod(ctx, path, rev)
	if err == nil {
		return data, nil
	}

	err = TryProxies(func(proxy string) (err error) {
		data, err = Lookup(ctx, proxy, path).GoMod(ctx, rev)
		return err
	})
	return data, err
}

// GoModFile is like GoMod but returns the name of the file containing

> NOTE: To deploy MinIO on with persistent storage, you must map local persistent directories from the host OS to the container using the `podman -v` option. For example, `-v /mnt/data:/data` maps the host OS drive at `/mnt/data` to `/data` on the container.

## macOS

Use the following commands to run a standalone MinIO server on macOS.

      stride *= shape[dim];
    }
    return stride;
  }

  // Calculates how many values to skip across a 1-D contiguous array that holds
  // backing data for a given shape to access data at a specified index.
  //
  // `index` should have the same size as `shape`.
  // Each value `dim` in `index` should be in [0, shape[dim]).
  static int64_t IndexToOffset(ArrayRef<int64_t> shape,

		sort.SliceStable(ctxt.Data, func(i, j int) bool {
			return ctxt.Data[i].Name < ctxt.Data[j].Name
		})
	}

	// Constant symbols are created late in the concurrent phase. Sort them
	// to ensure a deterministic order.
	sort.Slice(ctxt.constSyms, func(i, j int) bool {
		return ctxt.constSyms[i].Name < ctxt.constSyms[j].Name
	})
	ctxt.Data = append(ctxt.Data, ctxt.constSyms...)
	ctxt.constSyms = nil

                               ::tensorflow::data::OptionalVariant>()) {
    TF_RETURN_IF_ERROR(
        ValidateVariantType<::tensorflow::data::OptionalVariant>(a));
    *out = ::tensorflow::data::OptionalVariant();

    return ::tensorflow::data::OptionalBinaryAdd(
        cc_ctx, *a.get<::tensorflow::data::OptionalVariant>(),
        *b.get<::tensorflow::data::OptionalVariant>(),

	case 1:
		offset += f.offset
	case 2:
		offset += int64(len(f.f.data))
	}
	if offset < 0 || offset > int64(len(f.f.data)) {
		return 0, &fs.PathError{Op: "seek", Path: f.f.name, Err: fs.ErrInvalid}
	}
	f.offset = offset
	return offset, nil
}

func (f *openFile) ReadAt(b []byte, offset int64) (int, error) {
	if offset < 0 || offset > int64(len(f.f.data)) {

		if err != nil {
			return 0, err
		}
		n += copy(buf[addr%sizeofPtr:], data)
		word := *((*uintptr)(unsafe.Pointer(&buf[0])))
		err = ptrace(pokeReq, pid, addr-addr%sizeofPtr, word)
		if err != nil {
			return 0, err
		}
		data = data[n:]
	}

	// Interior.
	for len(data) > sizeofPtr {
		word := *((*uintptr)(unsafe.Pointer(&data[0])))
		err = ptrace(pokeReq, pid, addr+uintptr(n), word)
		if err != nil {

	if size < 512 {
		size = 512
	}

	data := make([]byte, 0, size)
	for {
		n, err := f.Read(data[len(data):cap(data)])
		data = data[:len(data)+n]
		if err != nil {
			if err == io.EOF {
				err = nil
			}
			return data, err
		}

		if len(data) >= cap(data) {
			d := append(data[:cap(data)], 0)
			data = d[:len(data)]
		}
	}
}

	patchesDir            string
	ignorePreflightErrors []string
}

// compile-time assert that the local data object satisfies the phases data interface.
var _ phases.Data = &nodeData{}

// nodeData defines all the runtime information used when running the kubeadm upgrade node workflow;
// this data is shared across all the phases that are included in the workflow.
type nodeData struct {
	etcdUpgrade           bool