Ah,  thank you..  that's much nicer.

@Tom and Patrick
I like the idea but don't understand how to specify say a string.   ??
field1::Uint16          # makes sense but how to do multiple numbers?
field2::asciistringofXbytes   -or- Xbytes and I'll convert it later

whee, a fire alarm.  

On Wednesday, September 30, 2015 at 12:54:24 PM UTC-4, Jameson wrote:
>
> For the bitstypes, you can do `[read(fh, UInt16)]` to be a bit more 
> concise.
>
>
> On Wed, Sep 30, 2015 at 12:31 PM David McInnis <[email protected] 
> <javascript:>> wrote:
>
>> Sorry for the slow response, was called away.
>>
>> As a starting place I'll try to stick with the builtin routines first.  
>> With Stefan's idea I've got something that works though I don't see a way 
>> to make it more..  ummm...   elegant.
>>
>> Here's where I'm at:
>> myfile = "dnp.sam"
>> dnp = { "File" => myfile }
>>
>> fh = open(myfile, "r")
>>
>> dnp["Label"] = bytestring(readbytes(fh, 4))
>> dnp["Version"] = reinterpret( Uint16, readbytes(fh, 2) )
>> dnp["Revision"] = reinterpret( Uint16, readbytes(fh, 2) )
>> dnp["Date"] = bytestring(readbytes(fh, 28))
>> # and so on for 30 other variables
>>
>> close(fh)
>>
>>
>> Any suggestions?
>>
>> @Tom :  I love how clean your code looks.
>> @gggg :  We may be after the same thing.
>>
>>
>>
>>
>> On Thursday, September 17, 2015 at 9:09:15 PM UTC-4, David McInnis wrote:
>>>
>>> I'm in the process of switching from python to julia and have gotten 
>>> stuck for a couple of days trying to read a, for me, typical data file.
>>>
>>> In python I'd create a C-style format, open the file and read the data.
>>> I don't see an equivalent method in Julia.
>>>
>>> Ex:
>>> Using a data structure of something like:    "<4sii28s4i"  
>>> I'd figure out the size of the structure, point to the beginning byte, 
>>> and then unpack it. 
>>>
>>> In Julia it looks like *maybe* I could make a data type to do this, but 
>>> I can't figure out how.
>>> There's also StrPack.jl,  but it too is a little beyond what I 
>>> understand.
>>>
>>> I work with a lot of different instruments, each with its own file 
>>> format.  Usually I only need to read these files.  After processing I'll 
>>> save everything into an hdf5 file.  
>>>
>>> Thanks,  David.
>>>
>>>

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