[chirp_devel] def convert_freq_to_bytes(real_freq):

[IZ3GME Marco]

It's a rounding problem due to the internal representation of float.

I tried the following version of convert_freq_to_bytes which seems to 
works but may be Dan or some other python expert have a better solution.

         def convert_freq_to_bytes(freq):
             bytes = [ 0 for x in range(0,8) ]   # init list with 8 times 0
             real_freq = "%3.5f" % freq		# now is a string
             real_freq = int(real_freq[0:3]+ real_freq[4:])
						# and now an int
             for i in range(7, -1, -1):          # go from 7 to 0
                 bytes[i] = real_freq%10         # extract last digit
                 real_freq /= 10                 # throw away last digit
             return bytes

73 de IZ3GME Marco


On 25/01/2013 05:04, Jim Unroe wrote:
> On Tue, Jan 22, 2013 at 8:12 PM, Jim Unroe <rock.unroe at gmail.com
> <mailto:rock.unroe at gmail.com>> wrote:
>
>     Marco,
>     Wow! After a long day at work I finally got a chance to apply your
>     patch and it works perfectly! Thank you very much.
>
> Marco,
> After doing some additional testing today, I discovered a problem and I
> can't figure out what might be causing it or how to fix it.
>
> Here's the problem....
> If I enter the VFO frequency of 146.52000, it saves to an image file and
> uploads to the UV-5R just fine.
> If I enter the VFO frequency of 146.64000, it saves to an image file and
> uploads to the UV-5R as 146.63999
>
> I also noticed that if I enter 146.640 into the UV-5R VFO using the
> keypad, download to CHIRP and then upload back to the UV-5R, the
> frequency is correct.
>
> Any thoughts as to what may be causing this and how I might fix it? I
> have attached a single patch file that includes my 3 test patches plus
> your cleanup patch.
>
> Thanks,
> Jim
>
>
>
>
>
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