Once created, an IntelHex object can be loaded with data.
This is only necessary if “source” was unspecified in the constructor.
You can also load data several times (but if addresses in those files overlap
you get exception
AddressOverlapError). This error is only raised when
reading from hex files. When reading from other formats, without explicitly
merge, the data will be overwritten. E.g.:
>>> from intelhex import IntelHex >>> ih = IntelHex() # create empty object >>> ih.loadhex('foo.hex') # load from hex >>> ih.loadfile('bar.hex',format='hex') # also load from hex >>> ih.fromfile('bar.hex',format='hex') # also load from hex
IntelHex.fromfile is recommended way.
All of the above examples will read from HEX files. IntelHex also supports reading straight binary files. For example:
>>> from intelhex import IntelHex >>> ih = IntelHex() # create empty object >>> ih.loadbin('foo.bin') # load from bin >>> ih.fromfile('bar.bin',format='bin') # also load from bin >>> ih.loadbin('baz.bin',offset=0x1000) # load binary data and place them >>> # starting with specified offset
Finally, data can be loaded from an appropriate Python dictionary. This will permit you to store the data in an IntelHex object to a builtin dictionary and restore the object at a later time. For example:
>>> from intelhex import IntelHex >>> ih = IntelHex('foo.hex') # create empty object >>> pydict = ih.todict() # dump contents to pydict
…do something with the dictionary…
>>> newIH = IntelHex(pydict) # recreate object with dict >>> another = IntelHex() # make a blank instance >>> another.fromdict(pydict) # now another is the same as newIH