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
# type: ignore
import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
from enum import IntEnum
if getattr(kaitaistruct, 'API_VERSION', (0, 9)) < (0, 11):
raise Exception("Incompatible Kaitai Struct Python API: 0.11 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(IntEnum):
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 Consts(IntEnum):
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
class DataType(IntEnum):
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 SpmMode(IntEnum):
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 SpmTechnique(IntEnum):
contact_mode = 0
semicontact_mode = 1
tunnel_current = 2
snom = 3
class Unit(IntEnum):
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 XmlParamType(IntEnum):
none = 0
laser_wavelength = 1
units = 2
data_array = 255
class XmlScanLocation(IntEnum):
hlt = 0
hlb = 1
hrt = 2
hrb = 3
vlt = 4
vlb = 5
vrt = 6
vrb = 7
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt, self).__init__(_io)
self._parent = _parent
self._root = _root or 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)
def _fetch_instances(self):
pass
self.frames._fetch_instances()
class Frame(KaitaiStruct):
class FrameType(IntEnum):
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):
super(NtMdt.Frame, self).__init__(_io)
self._parent = _parent
self._root = _root
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)
def _fetch_instances(self):
pass
self.main._fetch_instances()
class AxisScale(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.AxisScale, self).__init__(_io)
self._parent = _parent
self._root = _root
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())
def _fetch_instances(self):
pass
class DateTime(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.DateTime, self).__init__(_io)
self._parent = _parent
self._root = _root
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)
def _fetch_instances(self):
pass
self.date._fetch_instances()
self.time._fetch_instances()
class Date(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.DateTime.Date, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.year = self._io.read_u2le()
self.month = self._io.read_u2le()
self.day = self._io.read_u2le()
def _fetch_instances(self):
pass
class Time(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.DateTime.Time, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.hour = self._io.read_u2le()
self.min = self._io.read_u2le()
self.sec = self._io.read_u2le()
def _fetch_instances(self):
pass
class Dots(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.Dots, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.fm_ndots = self._io.read_u2le()
if self.fm_ndots > 0:
pass
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))
def _fetch_instances(self):
pass
if self.fm_ndots > 0:
pass
self.coord_header._fetch_instances()
for i in range(len(self.coordinates)):
pass
self.coordinates[i]._fetch_instances()
for i in range(len(self.data)):
pass
self.data[i]._fetch_instances()
class DataLinez(KaitaiStruct):
def __init__(self, index, _io, _parent=None, _root=None):
super(NtMdt.Frame.Dots.DataLinez, self).__init__(_io)
self._parent = _parent
self._root = _root
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())
def _fetch_instances(self):
pass
for i in range(len(self.forward)):
pass
for i in range(len(self.backward)):
pass
class DotsData(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.Dots.DotsData, self).__init__(_io)
self._parent = _parent
self._root = _root
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()
def _fetch_instances(self):
pass
class DotsHeader(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.Dots.DotsHeader, self).__init__(_io)
self._parent = _parent
self._root = _root
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)
def _fetch_instances(self):
pass
self.header._fetch_instances()
class Header(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.Dots.DotsHeader.Header, self).__init__(_io)
self._parent = _parent
self._root = _root
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())
def _fetch_instances(self):
pass
class FdCurvesNew(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdCurvesNew, self).__init__(_io)
self._parent = _parent
self._root = _root
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))
def _fetch_instances(self):
pass
for i in range(len(self.blocks_headers)):
pass
self.blocks_headers[i]._fetch_instances()
for i in range(len(self.blocks_names)):
pass
for i in range(len(self.blocks_data)):
pass
class BlockDescr(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdCurvesNew.BlockDescr, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.name_len = self._io.read_u4le()
self.len = self._io.read_u4le()
def _fetch_instances(self):
pass
class FdMetaData(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdMetaData, self).__init__(_io)
self._parent = _parent
self._root = _root
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))
def _fetch_instances(self):
pass
for i in range(len(self.guids)):
pass
self.guids[i]._fetch_instances()
for i in range(len(self.dimensions)):
pass
self.dimensions[i]._fetch_instances()
for i in range(len(self.mesurands)):
pass
self.mesurands[i]._fetch_instances()
_ = self.image
if hasattr(self, '_m_image'):
pass
self._m_image._fetch_instances()
class Calibration(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdMetaData.Calibration, self).__init__(_io)
self._parent = _parent
self._root = _root
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")
def _fetch_instances(self):
pass
@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)
class Image(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdMetaData.Image, self).__init__(_io)
self._parent = _parent
self._root = _root
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
def _fetch_instances(self):
pass
for i in range(len(self.image)):
pass
self.image[i]._fetch_instances()
class Vec(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdMetaData.Image.Vec, self).__init__(_io)
self._parent = _parent
self._root = _root
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.float32:
pass
self.items.append(self._io.read_f4le())
elif _on == NtMdt.DataType.float64:
pass
self.items.append(self._io.read_f8le())
elif _on == NtMdt.DataType.int16:
pass
self.items.append(self._io.read_s2le())
elif _on == NtMdt.DataType.int32:
pass
self.items.append(self._io.read_s4le())
elif _on == NtMdt.DataType.int64:
pass
self.items.append(self._io.read_s8le())
elif _on == NtMdt.DataType.int8:
pass
self.items.append(self._io.read_s1())
elif _on == NtMdt.DataType.uint16:
pass
self.items.append(self._io.read_u2le())
elif _on == NtMdt.DataType.uint32:
pass
self.items.append(self._io.read_u4le())
elif _on == NtMdt.DataType.uint64:
pass
self.items.append(self._io.read_u8le())
elif _on == NtMdt.DataType.uint8:
pass
self.items.append(self._io.read_u1())
def _fetch_instances(self):
pass
for i in range(len(self.items)):
pass
_on = self._parent._parent.mesurands[i].data_type
if _on == NtMdt.DataType.float32:
pass
elif _on == NtMdt.DataType.float64:
pass
elif _on == NtMdt.DataType.int16:
pass
elif _on == NtMdt.DataType.int32:
pass
elif _on == NtMdt.DataType.int64:
pass
elif _on == NtMdt.DataType.int8:
pass
elif _on == NtMdt.DataType.uint16:
pass
elif _on == NtMdt.DataType.uint32:
pass
elif _on == NtMdt.DataType.uint64:
pass
elif _on == NtMdt.DataType.uint8:
pass
@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 FdScanned(KaitaiStruct):
class InputSignal(IntEnum):
extension_slot = 0
bias_v = 1
ground = 2
class LiftMode(IntEnum):
step = 0
fine = 1
slope = 2
class Mode(IntEnum):
stm = 0
afm = 1
unknown2 = 2
unknown3 = 3
unknown4 = 4
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdScanned, self).__init__(_io)
self._parent = _parent
self._root = _root
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:
pass
self.orig_format = self._io.read_u4le()
if False:
pass
self.tune = KaitaiStream.resolve_enum(NtMdt.Frame.FdScanned.LiftMode, self._io.read_u4le())
if False:
pass
self.feedback_gain = self._io.read_f8le()
if False:
pass
self.dac_scale = self._io.read_s4le()
if False:
pass
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)
def _fetch_instances(self):
pass
self.vars._fetch_instances()
if False:
pass
if False:
pass
if False:
pass
if False:
pass
if False:
pass
self.dots._fetch_instances()
for i in range(len(self.image)):
pass
self.title._fetch_instances()
self.xml._fetch_instances()
class Dot(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdScanned.Dot, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.x = self._io.read_s2le()
self.y = self._io.read_s2le()
def _fetch_instances(self):
pass
class ScanDir(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdScanned.ScanDir, self).__init__(_io)
self._parent = _parent
self._root = _root
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
def _fetch_instances(self):
pass
class Vars(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdScanned.Vars, self).__init__(_io)
self._parent = _parent
self._root = _root
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()
def _fetch_instances(self):
pass
self.x_scale._fetch_instances()
self.y_scale._fetch_instances()
self.z_scale._fetch_instances()
self.scan_dir._fetch_instances()
class FdSpectroscopy(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdSpectroscopy, self).__init__(_io)
self._parent = _parent
self._root = _root
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)
def _fetch_instances(self):
pass
self.vars._fetch_instances()
self.dots._fetch_instances()
for i in range(len(self.data)):
pass
self.title._fetch_instances()
self.xml._fetch_instances()
class Vars(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FdSpectroscopy.Vars, self).__init__(_io)
self._parent = _parent
self._root = _root
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()
def _fetch_instances(self):
pass
self.x_scale._fetch_instances()
self.y_scale._fetch_instances()
self.z_scale._fetch_instances()
class FrameMain(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Frame.FrameMain, self).__init__(_io)
self._parent = _parent
self._root = _root
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.curves:
pass
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.curves_new:
pass
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.mda:
pass
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.scanned:
pass
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)
elif _on == NtMdt.Frame.FrameType.spectroscopy:
pass
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)
else:
pass
self.frame_data = self._io.read_bytes_full()
def _fetch_instances(self):
pass
self.version._fetch_instances()
self.date_time._fetch_instances()
_on = self.type
if _on == NtMdt.Frame.FrameType.curves:
pass
self.frame_data._fetch_instances()
elif _on == NtMdt.Frame.FrameType.curves_new:
pass
self.frame_data._fetch_instances()
elif _on == NtMdt.Frame.FrameType.mda:
pass
self.frame_data._fetch_instances()
elif _on == NtMdt.Frame.FrameType.scanned:
pass
self.frame_data._fetch_instances()
elif _on == NtMdt.Frame.FrameType.spectroscopy:
pass
self.frame_data._fetch_instances()
else:
pass
class Framez(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Framez, self).__init__(_io)
self._parent = _parent
self._root = _root
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))
def _fetch_instances(self):
pass
for i in range(len(self.frames)):
pass
self.frames[i]._fetch_instances()
class Title(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Title, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.title_len = self._io.read_u4le()
self.title = (self._io.read_bytes(self.title_len)).decode(u"windows-1251")
def _fetch_instances(self):
pass
class Uuid(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Uuid, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.data = []
for i in range(16):
self.data.append(self._io.read_u1())
def _fetch_instances(self):
pass
for i in range(len(self.data)):
pass
class Version(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Version, self).__init__(_io)
self._parent = _parent
self._root = _root
self._read()
def _read(self):
self.minor = self._io.read_u1()
self.major = self._io.read_u1()
def _fetch_instances(self):
pass
class Xml(KaitaiStruct):
def __init__(self, _io, _parent=None, _root=None):
super(NtMdt.Xml, self).__init__(_io)
self._parent = _parent
self._root = _root
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")
def _fetch_instances(self):
pass