/usr/share/pyshared/fabio/edfimage.py is in python-fabio 0.0.8-1.
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# -*- coding: utf8 -*-
"""
License: GPLv2+
Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions
Risoe National Laboratory
Frederiksborgvej 399
DK-4000 Roskilde
email:erik.knudsen@risoe.dk
+ Jon Wright, ESRF
2011-02-11: Mostly rewritten by Jérôme Kieffer (Jerome.Kieffer@esrf.eu)
European Synchrotron Radiation Facility
Grenoble (France)
"""
import gzip, bz2, zlib, os, StringIO
import numpy, logging
logger = logging.getLogger("edfimage")
from fabioimage import fabioimage
from fabioutils import isAscii
BLOCKSIZE = 512
DATA_TYPES = { "SignedByte" : numpy.int8,
"Signed8" : numpy.int8,
"UnsignedByte" : numpy.uint8,
"Unsigned8" : numpy.uint8,
"SignedShort" : numpy.int16,
"Signed16" : numpy.int16,
"UnsignedShort" : numpy.uint16,
"Unsigned16" : numpy.uint16,
"UnsignedShortInteger" : numpy.uint16,
"SignedInteger" : numpy.int32,
"Signed32" : numpy.int32,
"UnsignedInteger": numpy.uint32,
"Unsigned32" : numpy.uint32,
"SignedLong" : numpy.int32,
"UnsignedLong" : numpy.uint32,
"Signed64" : numpy.int64,
"Unsigned64" : numpy.uint64,
"FloatValue" : numpy.float32,
"FLOATVALUE" : numpy.float32,
"FLOAT" : numpy.float32, # fit2d
"Float" : numpy.float32, # fit2d
"FloatIEEE32" : numpy.float32,
"Float32" : numpy.float32,
"Double" : numpy.float64,
"DoubleValue" : numpy.float64,
"FloatIEEE64" : numpy.float64,
"DoubleIEEE64" : numpy.float64
}
NUMPY_EDF_DTYPE = {"int8" :"SignedByte",
"int16" :"SignedShort",
"int32" :"SignedInteger",
"int64" :"Signed64",
"uint8" :"UnsignedByte",
"uint16" :"UnsignedShort",
"uint32" :"UnsignedInteger",
"uint64" :"Unsigned64",
"float32" :"FloatValue",
"float64" :"DoubleValue"
}
MINIMUM_KEYS = ['HEADERID',
'IMAGE',
'BYTEORDER',
'DATATYPE',
'DIM_1',
'DIM_2',
'SIZE'] # Size is thought to be essential for writing at least
DEFAULT_VALUES = {
# I do not define default values as they will be calculated at write time
# JK20110415
}
class Frame(object):
"""
A class representing a single frame in an EDF file
"""
def __init__(self, data=None, header=None, header_keys=None, number=None):
if header is None:
self.header = {}
else:
self.header = dict(header)
if header_keys is None:
self.header_keys = self.header.keys()
else:
self.header_keys = header_keys[:]
for key in header_keys:
if key not in self.header:
logger.warning("Header key %s, in header_keys is not in header dictionary, poping !!!" % key)
self.header_keys.remove(key)
self.capsHeader = {}
for key in self.header_keys:
try:
self.capsHeader[key.upper()] = key
except AttributeError:
logger.warning("Header key %s is not a string" % key)
self.rawData = None
self._data = data
self.dims = []
self.dim1 = 0
self.dim2 = 0
self.size = None
self.bpp = None
self.bytecode = None
if (number is not None) and isinstance(number, int):
self.iFrame = number
else:
self.iFrame = 0
def parseheader(self, block):
"""
Parse the header in some EDF format from an already open file
@param block: string representing the header block
@type block: string, should be full ascii
@return: size of the binary blob
"""
#reset values ...
self.header = {}
self.capsHeader = {}
self.header_keys = []
self.size = None
calcsize = 1
self.dims = []
for line in block.split(';'):
if '=' in line:
key, val = line.split('=' , 1)
key = key.strip()
self.header[key] = val.strip()
self.capsHeader[key.upper()] = key
self.header_keys.append(key)
# Compute image size
if "SIZE" in self.capsHeader:
try:
self.size = int(self.header[self.capsHeader["SIZE"]])
except ValueError:
logger.warning("Unable to convert to integer : %s %s " % (self.capsHeader["SIZE"], self.header[self.capsHeader["SIZE"]]))
if "DIM_1" in self.capsHeader:
try:
dim1 = int(self.header[self.capsHeader['DIM_1']])
except ValueError:
logger.error("Unable to convert to integer Dim_1: %s %s" % (self.capsHeader["DIM_1"], self.header[self.capsHeader["DIM_1"]]))
else:
calcsize *= dim1
self.dims.append(dim1)
else:
logger.error("No Dim_1 in headers !!!")
if "DIM_2" in self.capsHeader:
try:
dim2 = int(self.header[self.capsHeader['DIM_2']])
except ValueError:
logger.error("Unable to convert to integer Dim_3: %s %s" % (self.capsHeader["DIM_2"], self.header[self.capsHeader["DIM_2"]]))
else:
calcsize *= dim2
self.dims.append(dim2)
else:
logger.error("No Dim_2 in headers !!!")
iDim = 3
while iDim is not None:
strDim = "DIM_%i" % iDim
if strDim in self.capsHeader:
try:
dim3 = int(self.header[self.capsHeader[strDim]])
except ValueError:
logger.error("Unable to convert to integer %s: %s %s"
% (strDim, self.capsHeader[strDim], self.header[self.capsHeader[strDim]]))
dim3 = None
iDim = None
else:
calcsize *= dim3
self.dims.append(dim3)
iDim += 1
else:
logger.debug("No Dim_3 -> it is a 2D image")
iDim = None
if self.bytecode is None:
if "DATATYPE" in self.capsHeader:
self.bytecode = DATA_TYPES[self.header[self.capsHeader['DATATYPE']]]
else:
self.bytecode = numpy.uint16
logger.warning("Defaulting type to uint16")
self.bpp = len(numpy.array(0, self.bytecode).tostring())
calcsize *= self.bpp
if (self.size is None):
self.size = calcsize
elif (self.size != calcsize):
if ("COMPRESSION" in self.capsHeader) and (self.header[self.capsHeader['COMPRESSION']].upper().startswith("NO")):
logger.info("Mismatch between the expected size %s and the calculated one %s" % (self.size, calcsize))
self.size = calcsize
for i, n in enumerate(self.dims):
exec "self.dim%i=%i" % (i + 1, n)
return self.size
def swap_needed(self):
"""
Decide if we need to byteswap
"""
if ('Low' in self.header[self.capsHeader['BYTEORDER']] and numpy.little_endian) or \
('High' in self.header[self.capsHeader['BYTEORDER']] and not numpy.little_endian):
return False
if ('High' in self.header[self.capsHeader['BYTEORDER']] and numpy.little_endian) or \
('Low' in self.header[self.capsHeader['BYTEORDER']] and not numpy.little_endian):
if self.bpp in [2, 4, 8]:
return True
else:
return False
def getData(self):
"""
Unpack a binary blob according to the specification given in the header
@return: dataset as numpy.ndarray
"""
data = None
if self._data is not None:
data = self._data
elif self.rawData is None:
data = self._data
else:
if self.bytecode is None:
if "DATATYPE" in self.capsHeader:
self.bytecode = DATA_TYPES[self.header[self.capsHeader["DATATYPE"]]]
else:
self.bytecode = numpy.uint16
dims = self.dims[:]
dims.reverse()
if ("COMPRESSION" in self.capsHeader):
compression = self.header[self.capsHeader["COMPRESSION"]].upper()
uncompressed_size = self.bpp
for i in dims:
uncompressed_size *= i
if "OFFSET" in compression :
try:
import byte_offset#IGNORE:F0401
except ImportError, error:
logger.error("Unimplemented compression scheme: %s (%s)" % (compression, error))
else:
myData = byte_offset.analyseCython(self.rawData, size=uncompressed_size)
rawData = myData.astype(self.bytecode).tostring()
self.size = uncompressed_size
elif compression == "NONE":
rawData = self.rawData
elif "GZIP" in compression:
fileobj = StringIO.StringIO(self.rawData)
try:
rawData = gzip.GzipFile(fileobj=fileobj).read()
except IOError:
logger.warning("Encounter the python-gzip bug with trailing garbage, trying subprocess gzip")
try:
#This is as an ugly hack against a bug in Python gzip
import subprocess
sub = subprocess.Popen(["gzip", "-d", "-f"], stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.PIPE)
rawData, err = sub.communicate(input=self.rawData)
logger.debug("Gzip subprocess ended with %s err= %s; I got %s bytes back" % (sub.wait(), err, len(rawData)))
except Exception, error: #IGNORE:W0703
logger.warning("Unable to use the subprocess gzip (%s). Is gzip available? " % error)
for i in range(1, 513):
try:
fileobj = StringIO.StringIO(self.rawData[:-i])
rawData = gzip.GzipFile(fileobj=fileobj).read()
except IOError:
logger.debug("trying with %s bytes less, doesn't work" % i)
else:
break
else:
logger.error("I am totally unable to read this gzipped compressed data block, giving up")
self.size = uncompressed_size
elif "BZ" in compression :
rawData = bz2.decompress(self.rawData)
self.size = uncompressed_size
elif "Z" in compression :
rawData = zlib.decompress(self.rawData)
self.size = uncompressed_size
else:
logger.warning("Unknown compression scheme %s" % compression)
rawData = self.rawData
else:
rawData = self.rawData
expected = self.size
obtained = len(rawData)
if expected > obtained:
logger.error("Data stream is incomplete: %s < expected %s bytes" % (obtained, expected))
rawData += "\x00" * (expected - obtained)
elif expected < len(rawData):
logger.info("Data stream contains trailing junk : %s > expected %s bytes" % (obtained, expected))
rawData = rawData[:expected]
# logger.debug("dims = %s, bpp = %s, expected= %s obtained = %s" % (dims, self.bpp, expected, obtained))
if self.swap_needed():
data = numpy.fromstring(rawData, self.bytecode).byteswap().reshape(tuple(dims))
else:
data = numpy.fromstring(rawData, self.bytecode).reshape(tuple(dims))
self._data = data
self.rawData = None #no need to keep garbage in memory
self.bytecode = data.dtype.type
return data
def setData(self, npa=None):
"""Setter for data in edf frame"""
self._data = npa
data = property(getData, setData, "property: (edf)frame.data, uncompress the datablock when needed")
def getEdfBlock(self, force_type=None, fit2dMode=False):
"""
@param force_type: type of the dataset to be enforced like "float64" or "uint16"
@type force_type: string or numpy.dtype
@param fit2dMode: enforce compatibility with fit2d and starts countimg number of images at 1
@type fit2dMode: boolean
@return: ascii header block
@rtype: python string with the concatenation of the ascii header and the binary data block
"""
if force_type is not None:
data = self.data.astype(force_type)
else:
data = self.data
fit2dMode = bool(fit2dMode)
for key in self.header:
KEY = key.upper()
if KEY not in self.capsHeader:
self.capsHeader[KEY] = key
if key not in self.header_keys:
self.header_keys.append(key)
header = self.header.copy()
header_keys = self.header_keys[:]
capsHeader = self.capsHeader.copy()
listHeader = ["{\n"]
# First of all clean up the headers:
for i in capsHeader:
if "DIM_" in i:
header.pop(capsHeader[i])
header_keys.remove(capsHeader[i])
for KEY in ["SIZE", "EDF_BINARYSIZE", "EDF_HEADERSIZE", "BYTEORDER", "DATATYPE", "HEADERID", "IMAGE"]:
if KEY in capsHeader:
header.pop(capsHeader[KEY])
header_keys.remove(capsHeader[KEY])
if "EDF_DATABLOCKID" in capsHeader:
header_keys.remove(capsHeader["EDF_DATABLOCKID"])
#but do not remove the value from dict, instead reset the key ...
if capsHeader["EDF_DATABLOCKID"] != "EDF_DataBlockID":
header["EDF_DataBlockID"] = header.pop(capsHeader["EDF_DATABLOCKID"])
capsHeader["EDF_DATABLOCKID"] = "EDF_DataBlockID"
# Then update static headers freshly deleted
header_keys.insert(0, "Size")
header["Size"] = len(data.tostring())
header_keys.insert(0, "HeaderID")
header["HeaderID"] = "EH:%06d:000000:000000" % (self.iFrame + fit2dMode)
header_keys.insert(0, "Image")
header["Image"] = str(self.iFrame + fit2dMode)
dims = list(data.shape)
nbdim = len(dims)
for i in dims:
key = "Dim_%i" % nbdim
header[key] = i
header_keys.insert(0, key)
nbdim -= 1
header_keys.insert(0, "DataType")
header["DataType"] = NUMPY_EDF_DTYPE[str(numpy.dtype(data.dtype))]
header_keys.insert(0, "ByteOrder")
if numpy.little_endian:
header["ByteOrder"] = "LowByteFirst"
else:
header["ByteOrder"] = "HighByteFirst"
approxHeaderSize = 100
for key in header:
approxHeaderSize += 7 + len(key) + len(str(header[key]))
approxHeaderSize = BLOCKSIZE * (approxHeaderSize // BLOCKSIZE + 1)
header_keys.insert(0, "EDF_HeaderSize")
header["EDF_HeaderSize"] = str(BLOCKSIZE * (approxHeaderSize // BLOCKSIZE + 1))
header_keys.insert(0, "EDF_BinarySize")
header["EDF_BinarySize"] = len(data.tostring())
header_keys.insert(0, "EDF_DataBlockID")
if not "EDF_DataBlockID" in header:
header["EDF_DataBlockID"] = "%i.Image.Psd" % (self.iFrame + fit2dMode)
preciseSize = 4 #2 before {\n 2 after }\n
for key in header_keys:
#Escape keys or values that are no ascii
strKey = str(key)
if not isAscii(strKey, listExcluded=["}", "{"]):
logger.warning("Non ascii key %s, skipping" % strKey)
continue
strValue = str(header[key])
if not isAscii(strValue, listExcluded=["}", "{"]):
logger.warning("Non ascii value %s, skipping" % strValue)
continue
line = strKey + " = " + strValue + " ;\n"
preciseSize += len(line)
listHeader.append(line)
# print type(line), line
if preciseSize > approxHeaderSize:
logger.error("I expected the header block only at %s in fact it is %s" % (approxHeaderSize, preciseSize))
for idx, line in enumerate(listHeader[:]):
if line.startswith("EDF_HeaderSize"):
headerSize = BLOCKSIZE * (preciseSize // BLOCKSIZE + 1)
newline = "EDF_HeaderSize = %s ;\n" % headerSize
delta = len(newline) - len(line)
if (preciseSize // BLOCKSIZE) != ((preciseSize + delta) // BLOCKSIZE):
headerSize = BLOCKSIZE * ((preciseSize + delta) // BLOCKSIZE + 1)
newline = "EDF_HeaderSize = %s ;\n" % headerSize
preciseSize = preciseSize + delta
listHeader[idx] = newline
break
else:
headerSize = approxHeaderSize
listHeader.append(" "*(headerSize - preciseSize) + "}\n")
return "".join(listHeader) + data.tostring()
class edfimage(fabioimage):
""" Read and try to write the ESRF edf data format """
def __init__(self, data=None , header=None, header_keys=None, frames=None):
self.currentframe = 0
try:
dim = len(data.shape)
except Exception, error: #IGNORE:W0703
logger.debug("Data don't look like a numpy array (%s), resetting all!!" % error)
data = None
dim = 0
if dim == 2:
fabioimage.__init__(self, data, header)
elif dim == 1 :
data.shape = (0, len(data))
fabioimage.__init__(self, data, header)
elif dim == 3 :
fabioimage.__init__(self, data[0, :, :], header)
elif dim == 4 :
fabioimage.__init__(self, data[0, 0, :, :], header)
elif dim == 5 :
fabioimage.__init__(self, data[0, 0, 0, :, :], header)
if frames is None:
frame = Frame(data=data, header=header,
header_keys=header_keys ,
number=self.currentframe)
self.__frames = [frame]
else:
self.__frames = frames
@staticmethod
def _readHeaderBlock(infile):
"""
Read in a header in some EDF format from an already open file
@param infile: file object open in read mode
@return: string (or None if no header was found.
"""
block = infile.read(BLOCKSIZE)
if len(block) < BLOCKSIZE:
logger.debug("Under-short header: only %i bytes in %s" % (len(block), infile.name))
return
if (block.find("{") < 0) :
# This does not look like an edf file
logger.warning("no opening {. Corrupt header of EDF file %s" % infile.name)
return
while '}' not in block:
block = block + infile.read(BLOCKSIZE)
if len(block) > BLOCKSIZE * 20:
logger.warning("Runaway header in EDF file")
return
start = block.find("{") + 1
end = block.find("}")
# Now it is essential to go to the start of the binary part
if block[end: end + 3] == "}\r\n":
offset = end + 3 - len(block)
elif block[end: end + 2] == "}\n":
offset = end + 2 - len(block)
else:
logger.error("Unable to locate start of the binary section")
offset = None
if offset is not None:
try:
infile.seek(offset, os.SEEK_CUR)
except TypeError: #JK20110407 bugfix specific to MacOSX
pos = infile.tell()
infile.seek(pos + offset)
return block[start:end]
def _readheader(self, infile):
"""
Read all headers in a file and populate self.header
data is not yet populated
@type infile: file object open in read mode
"""
self.__frames = []
bContinue = True
while bContinue:
block = self._readHeaderBlock(infile)
if block is None:
bContinue = False
break
frame = Frame(number=self.nframes)
self.__frames.append(frame)
size = frame.parseheader(block)
frame.rawData = infile.read(size)
if len(frame.rawData) != size:
logger.warning("Non complete datablock: got %s, expected %s" % (len(frame.rawData), size))
bContinue = False
break
for i, frame in enumerate(self.__frames):
missing = []
for item in MINIMUM_KEYS:
if item not in frame.capsHeader:
missing.append(item)
if len(missing) > 0:
logger.info("EDF file %s frame %i misses mandatory keys: %s " % (self.filename, i, " ".join(missing)))
self.currentframe = 0
def read(self, fname):
"""
Read in header into self.header and
the data into self.data
"""
self.resetvals()
self.filename = fname
infile = self._open(fname, "rb")
self._readheader(infile)
if self.data is None:
self.data = self.unpack()
# self.bytecode = self.data.dtype.type
self.resetvals()
# ensure the PIL image is reset
self.pilimage = None
return self
def swap_needed(self):
"""
Decide if we need to byteswap
"""
if ('Low' in self.header[self.capsHeader['BYTEORDER']] and numpy.little_endian) or \
('High' in self.header[self.capsHeader['BYTEORDER']] and not numpy.little_endian):
return False
if ('High' in self.header[self.capsHeader['BYTEORDER']] and numpy.little_endian) or \
('Low' in self.header[self.capsHeader['BYTEORDER']] and not numpy.little_endian):
if self.bpp in [2, 4, 8]:
return True
else:
return False
def unpack(self):
"""
Unpack a binary blob according to the specification given in the header and return the dataset
@return: dataset as numpy.ndarray
"""
return self.__frames[self.currentframe].getData()
def getframe(self, num):
""" returns the file numbered 'num' in the series as a fabioimage """
newImage = None
if self.nframes == 1:
logger.debug("Single frame EDF; having fabioimage default behavour: %s" % num)
newImage = fabioimage.getframe(self, num)
elif num in xrange(self.nframes):
logger.debug("Multi frame EDF; having edfimage specific behavour: %s/%s" % (num, self.nframes))
newImage = edfimage(frames=self.__frames)
newImage.currentframe = num
newImage.filename = self.filename
else:
txt = "Cannot access frame: %s/%s" % (num, self.nframes)
logger.error(txt)
raise ValueError("edfimage.getframe:" + txt)
return newImage
def previous(self):
""" returns the previous file in the series as a fabioimage """
newImage = None
if self.nframes == 1:
newImage = fabioimage.previous(self)
else:
newFrameId = self.currentframe - 1
newImage = self.getframe(newFrameId)
return newImage
def next(self):
""" returns the next file in the series as a fabioimage """
newImage = None
if self.nframes == 1:
newImage = fabioimage.next(self)
else:
newFrameId = self.currentframe + 1
newImage = self.getframe(newFrameId)
return newImage
def write(self, fname, force_type=None, fit2dMode=False):
"""
Try to write a file
check we can write zipped also
mimics that fabian was writing uint16 (we sometimes want floats)
@param force_type: can be numpy.uint16 or simply "float"
@return: None
"""
outfile = self._open(fname, mode="wb")
for i, frame in enumerate(self.__frames):
frame.iFrame = i
outfile.write(frame.getEdfBlock(force_type=force_type, fit2dMode=fit2dMode))
outfile.close()
def appendFrame(self, frame=None, data=None, header=None):
"""
Method used add a frame to an EDF file
@param frame: frame to append to edf image
@type frame: instance of Frame
@return: None
"""
if isinstance(frame, Frame):
self.__frames.append(frame)
else:
self.__frames.append(Frame(data, header))
def deleteFrame(self, frameNb=None):
"""
Method used to remove a frame from an EDF image. by default the last one is removed.
@param frameNb: frame number to remove, by default the last.
@type frameNb: integer
@return: None
"""
if frameNb is None:
self.__frames.pop()
else:
self.__frames.pop(frameNb)
################################################################################
# Properties definition for header, data, header_keys and capsHeader
################################################################################
def getNbFrames(self):
"""
Getter for number of frames
"""
return len(self.__frames)
def setNbFrames(self, val):
"""
Setter for number of frames ... should do nothing. Here just to avoid bugs
"""
if val != len(self.__frames):
logger.warning("trying to set the number of frames ")
nframes = property(getNbFrames, setNbFrames, "property: number of frames in EDF file")
def getHeader(self):
"""
Getter for the headers. used by the property header,
"""
return self.__frames[self.currentframe].header
def setHeader(self, _dictHeader):
"""
Enforces the propagation of the header to the list of frames
"""
try:
self.__frames[self.currentframe].header = _dictHeader
except AttributeError:
self.__frames = [Frame(header=_dictHeader)]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame(header=_dictHeader))
def delHeader(self):
"""
Deleter for edf header
"""
self.__frames[self.currentframe].header = {}
header = property(getHeader, setHeader, delHeader, "property: header of EDF file")
def getHeaderKeys(self):
"""
Getter for edf header_keys
"""
return self.__frames[self.currentframe].header_keys
def setHeaderKeys(self, _listtHeader):
"""
Enforces the propagation of the header_keys to the list of frames
@param _listtHeader: list of the (ordered) keys in the header
@type _listtHeader: python list
"""
try:
self.__frames[self.currentframe].header_keys = _listtHeader
except AttributeError:
self.__frames = [Frame(header_keys=_listtHeader)]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame(header_keys=_listtHeader))
def delHeaderKeys(self):
"""
Deleter for edf header_keys
"""
self.__frames[self.currentframe].header_keys = []
header_keys = property(getHeaderKeys, setHeaderKeys, delHeaderKeys, "property: header_keys of EDF file")
def getData(self):
"""
getter for edf Data
@return: data for current frame
@rtype: numpy.ndarray
"""
npaData = None
try:
npaData = self.__frames[self.currentframe].data
except AttributeError:
self.__frames = [Frame()]
npaData = self.__frames[self.currentframe].data
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame())
npaData = self.__frames[self.currentframe].data
# logger.warning("Data of %s, currentframe=%s is type %s" % (id(self), self.currentframe, type(npaData)))
return npaData
def setData(self, _data):
"""
Enforces the propagation of the data to the list of frames
@param _data: numpy array representing data
"""
try:
self.__frames[self.currentframe].data = _data
except AttributeError:
self.__frames = [Frame(data=_data)]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame(data=_data))
def delData(self):
"""
deleter for edf Data
"""
self.__frames[self.currentframe].data = None
data = property(getData, setData, delData, "property: data of EDF file")
def getCapsHeader(self):
"""
getter for edf headers keys in upper case
@return: data for current frame
@rtype: dict
"""
return self.__frames[self.currentframe].capsHeader
def setCapsHeader(self, _data):
"""
Enforces the propagation of the header_keys to the list of frames
@param _data: numpy array representing data
"""
self.__frames[self.currentframe].capsHeader = _data
def delCapsHeader(self):
"""
deleter for edf capsHeader
"""
self.__frames[self.currentframe].capsHeader = {}
capsHeader = property(getCapsHeader, setCapsHeader, delCapsHeader, "property: capsHeader of EDF file, i.e. the keys of the header in UPPER case.")
def getDim1(self):
return self.__frames[self.currentframe].dim1
def setDim1(self, _iVal):
try:
self.__frames[self.currentframe].dim1 = _iVal
except AttributeError:
self.__frames = [Frame()]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame())
self.__frames[self.currentframe].dim1 = _iVal
dim1 = property(getDim1, setDim1)
def getDim2(self):
return self.__frames[self.currentframe].dim2
def setDim2(self, _iVal):
try:
self.__frames[self.currentframe].dim2 = _iVal
except AttributeError:
self.__frames = [Frame()]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame())
self.__frames[self.currentframe].dim2 = _iVal
dim2 = property(getDim2, setDim2)
def getDims(self):
return self.__frames[self.currentframe].dims
dims = property(getDims)
def getByteCode(self):
return self.__frames[self.currentframe].bytecode
def setByteCode(self, _iVal):
try:
self.__frames[self.currentframe].bytecode = _iVal
except AttributeError:
self.__frames = [Frame()]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame())
self.__frames[self.currentframe].bytecode = _iVal
bytecode = property(getByteCode, setByteCode)
def getBpp(self):
return self.__frames[self.currentframe].bpp
def setBpp(self, _iVal):
try:
self.__frames[self.currentframe].bpp = _iVal
except AttributeError:
self.__frames = [Frame()]
except IndexError:
if self.currentframe < len(self.__frames):
self.__frames.append(Frame())
self.__frames[self.currentframe].bpp = _iVal
bpp = property(getBpp, setBpp)
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