TypeError: must be real number, not NoneType

[jiangzy26]

Hi,
When I run LaNeta, I got one TypeError, could you share your help?
Here is the output:

Starting LaNeta...
estimating weighted LD...
CHR_N: 1
[0.00000000e+00 9.21276639e-22 1.04500181e-21 ... 1.54929056e-04
1.54930421e-04 1.54934516e-04]
[[ 0 0 0 ... 0 0 0]
[ 0 0 0 ... 0 0 0]
[ 0 0 0 ... -2 0 0]
...
[ 1 0 0 ... 0 0 0]
[ 0 0 0 ... 0 0 0]
[ 0 0 0 ... 1 0 0]]
[0.00000000e+00 9.21276639e-22 1.04500181e-21 ... 1.54929056e-04
1.54930421e-04 1.54934516e-04]
0:00:07.289282 - data read.
0
Traceback (most recent call last):
File "/home/8-LaNeta/LaNeta/laneta.py", line 118, in
Mt=clargs.mt)
File "/home/8-LaNeta/LaNeta/LaNeta/ThLd.py", line 710, in estimateTwoPulse
freq_filter=freq_filter, Mt=Mt, at=at)
File "/home/8-LaNeta/LaNeta/LaNeta/ThLd.py", line 469, in estimate
numerator_i = alg.estimate_numerator()
File "/home/8-LaNeta/LaNeta/LaNeta/ThLd.py", line 347, in estimate_numerator
b = self.estimate_bin_b_int() #no epsilon during binning
File "/home/8-LaNeta/LaNeta/LaNeta/ThLd.py", line 294, in estimate_bin_b_int
m=WLD.Mt, missing_ref=WLD.data.missing_ref) )
File "LaNeta/fastc.pyx", line 637, in LaNeta.fastc.binning_b_int
TypeError: must be real number, not NoneType

[zhen0506]

Hi,
The same error occurred during my run. Did you figure out the issue?

[TesMichelle]

Hi,
Now you can download new version of LaNeta and run it.
Wait for your feedback.