A native file format of NT-MDT scientific software. Usually contains any of:
Some examples of mdt files can be downloaded at:
This page hosts a formal specification of NT-MDT data using Kaitai Struct. This specification can be automatically translated into a variety of programming languages to get a parsing library.
All parsing code for Python generated by Kaitai Struct depends on the Python runtime library. You have to install it before you can parse data.
The Python runtime library can be installed from PyPI:
python3 -m pip install kaitaistructParse a local file and get structure in memory:
data = NtMdt.from_file("path/to/local/file.mdt")
Or parse structure from a bytes:
from kaitaistruct import KaitaiStream, BytesIO
raw = b"\x00\x01\x02..."
data = NtMdt(KaitaiStream(BytesIO(raw)))
After that, one can get various attributes from the structure by invoking getter methods like:
data.size # => File size (w/o header)
# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
from enum import Enum
if getattr(kaitaistruct, 'API_VERSION', (0, 9)) < (0, 9):
raise Exception("Incompatible Kaitai Struct Python API: 0.9 or later is required, but you have %s" % (kaitaistruct.__version__))
class NtMdt(KaitaiStruct):
"""A native file format of NT-MDT scientific software. Usually contains
any of:
* [Scanning probe](https://en.wikipedia.org/wiki/Scanning_probe_microscopy) microscopy scans and spectra
* [Raman spectra](https://en.wikipedia.org/wiki/Raman_spectroscopy)
* results of their analysis
Some examples of mdt files can be downloaded at:
* <https://www.ntmdt-si.ru/resources/scan-gallery>
* <http://callistosoft.narod.ru/Resources/Mdt.zip>
.. seealso::
Source - https://svn.code.sf.net/p/gwyddion/code/trunk/gwyddion/modules/file/nt-mdt.c
"""
class AdcMode(Enum):
height = 0
dfl = 1
lateral_f = 2
bias_v = 3
current = 4
fb_out = 5
mag = 6
mag_sin = 7
mag_cos = 8
rms = 9
calc_mag = 10
phase1 = 11
phase2 = 12
calc_phase = 13
ex1 = 14
ex2 = 15
hv_x = 16
hv_y = 17
snap_back = 18
false = 255
class XmlScanLocation(Enum):
hlt = 0
hlb = 1
hrt = 2
hrb = 3
vlt = 4
vlb = 5
vrt = 6
vrb = 7
class DataType(Enum):
floatfix = -65544
float80 = -16138
float64 = -13320
float48 = -9990
float32 = -5892
int64 = -8
int32 = -4
int16 = -2
int8 = -1
unknown0 = 0
uint8 = 1
uint16 = 2
uint32 = 4
uint64 = 8
class XmlParamType(Enum):
none = 0
laser_wavelength = 1
units = 2
data_array = 255
class SpmMode(Enum):
constant_force = 0
contact_constant_height = 1
contact_error = 2
lateral_force = 3
force_modulation = 4
spreading_resistance_imaging = 5
semicontact_topography = 6
semicontact_error = 7
phase_contrast = 8
ac_magnetic_force = 9
dc_magnetic_force = 10
electrostatic_force = 11
capacitance_contrast = 12
kelvin_probe = 13
constant_current = 14
barrier_height = 15
constant_height = 16
afam = 17
contact_efm = 18
shear_force_topography = 19
sfom = 20
contact_capacitance = 21
snom_transmission = 22
snom_reflection = 23
snom_all = 24
snom = 25
class Unit(Enum):
raman_shift = -10
reserved0 = -9
reserved1 = -8
reserved2 = -7
reserved3 = -6
meter = -5
centi_meter = -4
milli_meter = -3
micro_meter = -2
nano_meter = -1
angstrom = 0
nano_ampere = 1
volt = 2
none = 3
kilo_hertz = 4
degrees = 5
percent = 6
celsius_degree = 7
volt_high = 8
second = 9
milli_second = 10
micro_second = 11
nano_second = 12
counts = 13
pixels = 14
reserved_sfom0 = 15
reserved_sfom1 = 16
reserved_sfom2 = 17
reserved_sfom3 = 18
reserved_sfom4 = 19
ampere2 = 20
milli_ampere = 21
micro_ampere = 22
nano_ampere2 = 23
pico_ampere = 24
volt2 = 25
milli_volt = 26
micro_volt = 27
nano_volt = 28
pico_volt = 29
newton = 30
milli_newton = 31
micro_newton = 32
nano_newton = 33
pico_newton = 34
reserved_dos0 = 35
reserved_dos1 = 36
reserved_dos2 = 37
reserved_dos3 = 38
reserved_dos4 = 39
class SpmTechnique(Enum):
contact_mode = 0
semicontact_mode = 1
tunnel_current = 2
snom = 3
class Consts(Enum):
frame_mode_size = 8
frame_header_size = 22
axis_scales_size = 30
file_header_size = 32
spectro_vars_min_size = 38
scan_vars_min_size = 77
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.signature = self._io.read_bytes(4)
if not self.signature == b"\x01\xB0\x93\xFF":
raise kaitaistruct.ValidationNotEqualError(b"\x01\xB0\x93\xFF", self.signature, self._io, u"/seq/0")
self.size = self._io.read_u4le()
self.reserved0 = self._io.read_bytes(4)
self.last_frame = self._io.read_u2le()
self.reserved1 = self._io.read_bytes(18)
self.wrond_doc = self._io.read_bytes(1)
self._raw_frames = self._io.read_bytes(self.size)
_io__raw_frames = KaitaiStream(BytesIO(self._raw_frames))
self.frames = NtMdt.Framez(_io__raw_frames, self, self._root)
class Uuid(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.data = []
for i in range(16):
self.data.append(self._io.read_u1())
class Framez(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.frames = []
for i in range((self._root.last_frame + 1)):
self.frames.append(NtMdt.Frame(self._io, self, self._root))
class Frame(KaitaiStruct):
class FrameType(Enum):
scanned = 0
spectroscopy = 1
text = 3
old_mda = 105
mda = 106
palette = 107
curves_new = 190
curves = 201
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.size = self._io.read_u4le()
self._raw_main = self._io.read_bytes((self.size - 4))
_io__raw_main = KaitaiStream(BytesIO(self._raw_main))
self.main = NtMdt.Frame.FrameMain(_io__raw_main, self, self._root)
class Dots(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.fm_ndots = self._io.read_u2le()
if self.fm_ndots > 0:
self.coord_header = NtMdt.Frame.Dots.DotsHeader(self._io, self, self._root)
self.coordinates = []
for i in range(self.fm_ndots):
self.coordinates.append(NtMdt.Frame.Dots.DotsData(self._io, self, self._root))
self.data = []
for i in range(self.fm_ndots):
self.data.append(NtMdt.Frame.Dots.DataLinez(i, self._io, self, self._root))
class DotsHeader(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.header_size = self._io.read_s4le()
self._raw_header = self._io.read_bytes(self.header_size)
_io__raw_header = KaitaiStream(BytesIO(self._raw_header))
self.header = NtMdt.Frame.Dots.DotsHeader.Header(_io__raw_header, self, self._root)
class Header(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.coord_size = self._io.read_s4le()
self.version = self._io.read_s4le()
self.xyunits = KaitaiStream.resolve_enum(NtMdt.Unit, self._io.read_s2le())
class DotsData(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.coord_x = self._io.read_f4le()
self.coord_y = self._io.read_f4le()
self.forward_size = self._io.read_s4le()
self.backward_size = self._io.read_s4le()
class DataLinez(KaitaiStruct):
def __init__(self, index, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self.index = index
self._read()
def _read(self):
self.forward = []
for i in range(self._parent.coordinates[self.index].forward_size):
self.forward.append(self._io.read_s2le())
self.backward = []
for i in range(self._parent.coordinates[self.index].backward_size):
self.backward.append(self._io.read_s2le())
class FrameMain(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.type = KaitaiStream.resolve_enum(NtMdt.Frame.FrameType, self._io.read_u2le())
self.version = NtMdt.Version(self._io, self, self._root)
self.date_time = NtMdt.Frame.DateTime(self._io, self, self._root)
self.var_size = self._io.read_u2le()
_on = self.type
if _on == NtMdt.Frame.FrameType.mda:
self._raw_frame_data = self._io.read_bytes_full()
_io__raw_frame_data = KaitaiStream(BytesIO(self._raw_frame_data))
self.frame_data = NtMdt.Frame.FdMetaData(_io__raw_frame_data, self, self._root)
elif _on == NtMdt.Frame.FrameType.curves_new:
self._raw_frame_data = self._io.read_bytes_full()
_io__raw_frame_data = KaitaiStream(BytesIO(self._raw_frame_data))
self.frame_data = NtMdt.Frame.FdCurvesNew(_io__raw_frame_data, self, self._root)
elif _on == NtMdt.Frame.FrameType.curves:
self._raw_frame_data = self._io.read_bytes_full()
_io__raw_frame_data = KaitaiStream(BytesIO(self._raw_frame_data))
self.frame_data = NtMdt.Frame.FdSpectroscopy(_io__raw_frame_data, self, self._root)
elif _on == NtMdt.Frame.FrameType.spectroscopy:
self._raw_frame_data = self._io.read_bytes_full()
_io__raw_frame_data = KaitaiStream(BytesIO(self._raw_frame_data))
self.frame_data = NtMdt.Frame.FdSpectroscopy(_io__raw_frame_data, self, self._root)
elif _on == NtMdt.Frame.FrameType.scanned:
self._raw_frame_data = self._io.read_bytes_full()
_io__raw_frame_data = KaitaiStream(BytesIO(self._raw_frame_data))
self.frame_data = NtMdt.Frame.FdScanned(_io__raw_frame_data, self, self._root)
else:
self.frame_data = self._io.read_bytes_full()
class FdCurvesNew(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.block_count = self._io.read_u4le()
self.blocks_headers = []
for i in range(self.block_count):
self.blocks_headers.append(NtMdt.Frame.FdCurvesNew.BlockDescr(self._io, self, self._root))
self.blocks_names = []
for i in range(self.block_count):
self.blocks_names.append((self._io.read_bytes(self.blocks_headers[i].name_len)).decode(u"UTF-8"))
self.blocks_data = []
for i in range(self.block_count):
self.blocks_data.append(self._io.read_bytes(self.blocks_headers[i].len))
class BlockDescr(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.name_len = self._io.read_u4le()
self.len = self._io.read_u4le()
class FdMetaData(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.head_size = self._io.read_u4le()
self.tot_len = self._io.read_u4le()
self.guids = []
for i in range(2):
self.guids.append(NtMdt.Uuid(self._io, self, self._root))
self.frame_status = self._io.read_bytes(4)
self.name_size = self._io.read_u4le()
self.comm_size = self._io.read_u4le()
self.view_info_size = self._io.read_u4le()
self.spec_size = self._io.read_u4le()
self.source_info_size = self._io.read_u4le()
self.var_size = self._io.read_u4le()
self.data_offset = self._io.read_u4le()
self.data_size = self._io.read_u4le()
self.title = (self._io.read_bytes(self.name_size)).decode(u"UTF-8")
self.xml = (self._io.read_bytes(self.comm_size)).decode(u"UTF-8")
self.struct_len = self._io.read_u4le()
self.array_size = self._io.read_u8le()
self.cell_size = self._io.read_u4le()
self.n_dimensions = self._io.read_u4le()
self.n_mesurands = self._io.read_u4le()
self.dimensions = []
for i in range(self.n_dimensions):
self.dimensions.append(NtMdt.Frame.FdMetaData.Calibration(self._io, self, self._root))
self.mesurands = []
for i in range(self.n_mesurands):
self.mesurands.append(NtMdt.Frame.FdMetaData.Calibration(self._io, self, self._root))
class Image(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.image = []
i = 0
while not self._io.is_eof():
self.image.append(NtMdt.Frame.FdMetaData.Image.Vec(self._io, self, self._root))
i += 1
class Vec(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.items = []
for i in range(self._parent._parent.n_mesurands):
_on = self._parent._parent.mesurands[i].data_type
if _on == NtMdt.DataType.uint64:
self.items.append(self._io.read_u8le())
elif _on == NtMdt.DataType.uint8:
self.items.append(self._io.read_u1())
elif _on == NtMdt.DataType.float32:
self.items.append(self._io.read_f4le())
elif _on == NtMdt.DataType.int8:
self.items.append(self._io.read_s1())
elif _on == NtMdt.DataType.uint16:
self.items.append(self._io.read_u2le())
elif _on == NtMdt.DataType.int64:
self.items.append(self._io.read_s8le())
elif _on == NtMdt.DataType.uint32:
self.items.append(self._io.read_u4le())
elif _on == NtMdt.DataType.float64:
self.items.append(self._io.read_f8le())
elif _on == NtMdt.DataType.int16:
self.items.append(self._io.read_s2le())
elif _on == NtMdt.DataType.int32:
self.items.append(self._io.read_s4le())
class Calibration(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.len_tot = self._io.read_u4le()
self.len_struct = self._io.read_u4le()
self.len_name = self._io.read_u4le()
self.len_comment = self._io.read_u4le()
self.len_unit = self._io.read_u4le()
self.si_unit = self._io.read_u8le()
self.accuracy = self._io.read_f8le()
self.function_id_and_dimensions = self._io.read_u8le()
self.bias = self._io.read_f8le()
self.scale = self._io.read_f8le()
self.min_index = self._io.read_u8le()
self.max_index = self._io.read_u8le()
self.data_type = KaitaiStream.resolve_enum(NtMdt.DataType, self._io.read_s4le())
self.len_author = self._io.read_u4le()
self.name = (self._io.read_bytes(self.len_name)).decode(u"utf-8")
self.comment = (self._io.read_bytes(self.len_comment)).decode(u"utf-8")
self.unit = (self._io.read_bytes(self.len_unit)).decode(u"utf-8")
self.author = (self._io.read_bytes(self.len_author)).decode(u"utf-8")
@property
def count(self):
if hasattr(self, '_m_count'):
return self._m_count
self._m_count = ((self.max_index - self.min_index) + 1)
return getattr(self, '_m_count', None)
@property
def image(self):
if hasattr(self, '_m_image'):
return self._m_image
_pos = self._io.pos()
self._io.seek(self.data_offset)
self._raw__m_image = self._io.read_bytes(self.data_size)
_io__raw__m_image = KaitaiStream(BytesIO(self._raw__m_image))
self._m_image = NtMdt.Frame.FdMetaData.Image(_io__raw__m_image, self, self._root)
self._io.seek(_pos)
return getattr(self, '_m_image', None)
class FdSpectroscopy(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self._raw_vars = self._io.read_bytes(self._parent.var_size)
_io__raw_vars = KaitaiStream(BytesIO(self._raw_vars))
self.vars = NtMdt.Frame.FdSpectroscopy.Vars(_io__raw_vars, self, self._root)
self.fm_mode = self._io.read_u2le()
self.fm_xres = self._io.read_u2le()
self.fm_yres = self._io.read_u2le()
self.dots = NtMdt.Frame.Dots(self._io, self, self._root)
self.data = []
for i in range((self.fm_xres * self.fm_yres)):
self.data.append(self._io.read_s2le())
self.title = NtMdt.Title(self._io, self, self._root)
self.xml = NtMdt.Xml(self._io, self, self._root)
class Vars(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.x_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.y_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.z_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.sp_mode = self._io.read_u2le()
self.sp_filter = self._io.read_u2le()
self.u_begin = self._io.read_f4le()
self.u_end = self._io.read_f4le()
self.z_up = self._io.read_s2le()
self.z_down = self._io.read_s2le()
self.sp_averaging = self._io.read_u2le()
self.sp_repeat = self._io.read_u1()
self.sp_back = self._io.read_u1()
self.sp_4nx = self._io.read_s2le()
self.sp_osc = self._io.read_u1()
self.sp_n4 = self._io.read_u1()
self.sp_4x0 = self._io.read_f4le()
self.sp_4xr = self._io.read_f4le()
self.sp_4u = self._io.read_s2le()
self.sp_4i = self._io.read_s2le()
self.sp_nx = self._io.read_s2le()
class DateTime(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.date = NtMdt.Frame.DateTime.Date(self._io, self, self._root)
self.time = NtMdt.Frame.DateTime.Time(self._io, self, self._root)
class Date(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.year = self._io.read_u2le()
self.month = self._io.read_u2le()
self.day = self._io.read_u2le()
class Time(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.hour = self._io.read_u2le()
self.min = self._io.read_u2le()
self.sec = self._io.read_u2le()
class AxisScale(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.offset = self._io.read_f4le()
self.step = self._io.read_f4le()
self.unit = KaitaiStream.resolve_enum(NtMdt.Unit, self._io.read_s2le())
class FdScanned(KaitaiStruct):
class Mode(Enum):
stm = 0
afm = 1
unknown2 = 2
unknown3 = 3
unknown4 = 4
class InputSignal(Enum):
extension_slot = 0
bias_v = 1
ground = 2
class LiftMode(Enum):
step = 0
fine = 1
slope = 2
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self._raw_vars = self._io.read_bytes(self._parent.var_size)
_io__raw_vars = KaitaiStream(BytesIO(self._raw_vars))
self.vars = NtMdt.Frame.FdScanned.Vars(_io__raw_vars, self, self._root)
if False:
self.orig_format = self._io.read_u4le()
if False:
self.tune = KaitaiStream.resolve_enum(NtMdt.Frame.FdScanned.LiftMode, self._io.read_u4le())
if False:
self.feedback_gain = self._io.read_f8le()
if False:
self.dac_scale = self._io.read_s4le()
if False:
self.overscan = self._io.read_s4le()
self.fm_mode = self._io.read_u2le()
self.fm_xres = self._io.read_u2le()
self.fm_yres = self._io.read_u2le()
self.dots = NtMdt.Frame.Dots(self._io, self, self._root)
self.image = []
for i in range((self.fm_xres * self.fm_yres)):
self.image.append(self._io.read_s2le())
self.title = NtMdt.Title(self._io, self, self._root)
self.xml = NtMdt.Xml(self._io, self, self._root)
class Vars(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.x_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.y_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.z_scale = NtMdt.Frame.AxisScale(self._io, self, self._root)
self.channel_index = KaitaiStream.resolve_enum(NtMdt.AdcMode, self._io.read_u1())
self.mode = KaitaiStream.resolve_enum(NtMdt.Frame.FdScanned.Mode, self._io.read_u1())
self.xres = self._io.read_u2le()
self.yres = self._io.read_u2le()
self.ndacq = self._io.read_u2le()
self.step_length = self._io.read_f4le()
self.adt = self._io.read_u2le()
self.adc_gain_amp_log10 = self._io.read_u1()
self.adc_index = self._io.read_u1()
self.input_signal_or_version = self._io.read_u1()
self.substr_plane_order_or_pass_num = self._io.read_u1()
self.scan_dir = NtMdt.Frame.FdScanned.ScanDir(self._io, self, self._root)
self.power_of_2 = self._io.read_u1()
self.velocity = self._io.read_f4le()
self.setpoint = self._io.read_f4le()
self.bias_voltage = self._io.read_f4le()
self.draw = self._io.read_u1()
self.reserved = self._io.read_u1()
self.xoff = self._io.read_s4le()
self.yoff = self._io.read_s4le()
self.nl_corr = self._io.read_u1()
class Dot(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.x = self._io.read_s2le()
self.y = self._io.read_s2le()
class ScanDir(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.unkn = self._io.read_bits_int_be(4)
self.double_pass = self._io.read_bits_int_be(1) != 0
self.bottom = self._io.read_bits_int_be(1) != 0
self.left = self._io.read_bits_int_be(1) != 0
self.horizontal = self._io.read_bits_int_be(1) != 0
class Version(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.minor = self._io.read_u1()
self.major = self._io.read_u1()
class Xml(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.xml_len = self._io.read_u4le()
self.xml = (self._io.read_bytes(self.xml_len)).decode(u"UTF-16LE")
class Title(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
self._io = _io
self._parent = _parent
self._root = _root if _root else self
self._read()
def _read(self):
self.title_len = self._io.read_u4le()
self.title = (self._io.read_bytes(self.title_len)).decode(u"cp1251")