Re: [Ifeffit] Larch version up problem

Hi Eun-Suk, Did you do python -m pip install https://millenia.cars.aps.anl.gov/xraylarch/downloads/xraylarch-latest-py3-n... ? That will install the development version (later than 0.9.74, not yet 0.9.75, sorry for that delay). This works for me: from larch.xafs import feffpath p1 = feffpath('feff0001.dat', e0=-1, sigma2=0.010) p1.s02 = 0.95 dat = ff2chi([p1]) I don't know of any multiprocessing problem... Cheers, On Tue, Feb 6, 2024 at 11:05 PM 정은석 wrote:

Hello Matt.

I think that you need some time to fix the 'multi-processing problem of 0. 9.74'. If you take a little long time to fix it, can you send me xraylarch version 0.9.71? or could you inform me of the site of the old version? I will reinstall xraylarch with it.

Thank you for your effort and contribution

2024년 2월 5일 (월) 오후 5:09, 정은석 님이 작성:

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Hello Matt

I changed my original code to simple code for you as below. I found the problem of larch 0.9.74 in multi-processing. You can check it with the below code. How can I fix this problem?

------------------------------------------------------------------------------------------------------------ ############# Multi-processing test ######################## import larch from larch import Group from larch.utils import * from larch.xafs import * from larch.io import *

import numpy as np import os import torch.multiprocessing as mp

dPath = r'C:\Users\Administrator\Desktop\RL\feffit_error_test' os.chdir(dPath) fname1 = 'feff0001.dat' # N=1, Reff=1.9 N

path1 = feffpath(os.path.join(dPath,'FEFF1', fname1)) ################################# path_lists=[path1] path_lists[0].s02=0.86 ################################################

class Func(): def __init__(self, path_lists): self.path_lists=path_lists

def step(self): self.path_lists[0].e0, self.path_lists[0].degen, self.path_lists[0].deltar, self.path_lists[0].sigma2 = [2, 5, 0.001, 0.004] ## Theory path들의 합과 theory FFT theory_sum=Group(label='theory_group_sum') ff2chi(self.path_lists, group=theory_sum) new_state=theory_sum.chi return new_state

class TestClass(): def __init__(self, path_lists): self.path_lists=path_lists

def test(self): func1 = Func(self.path_lists) s=func1.step() ############################################

T_func=TestClass(path_lists) F_func=Func(path_lists)

if __name__ == '__main__': process_list=[] p_N =mp.Process(target=T_func.test,) p_N.start() process_list.append(p_N) for process in process_list: process.join() ################################################################## #####Problem########## File "C:\ProgramData\anaconda3\envs\xraylarch\Lib\multiprocessing\process.py", line 314, in _bootstrap self.run() File "C:\ProgramData\anaconda3\envs\xraylarch\Lib\multiprocessing\process.py", line 108, in run self._target(*self._args, **self._kwargs) File "c:\Users\Administrator\Desktop\RL\feffit_error_test\test-ff2chi-problem.py", line 40, in test s=func1.step() ^^^^^^^^^^^^ File "c:\Users\Administrator\Desktop\RL\feffit_error_test\test-ff2chi-problem.py", line 30, in step ff2chi(self.path_lists, group=theory_sum) File "C:\ProgramData\anaconda3\envs\xraylarch\Lib\site-packages\larch\xafs\feffdat.py", line 658, in ff2chi path.create_path_params(params=params) File "C:\ProgramData\anaconda3\envs\xraylarch\Lib\site-packages\larch\xafs\feffdat.py", line 392, in create_path_params parname = self.pathpar_name(pname) ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ProgramData\anaconda3\envs\xraylarch\Lib\site-packages\larch\xafs\feffdat.py", line 331, in pathpar_name return f'{parname}_{self.dataset}_{self.hashkey}' ^^^^^^^^^^^^ AttributeError: 'FeffPathGroup' object has no attribute 'dataset'

2024년 2월 5일 (월) 오전 4:44, Matt Newville 님이 작성:

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Hi Eun-Suk,

All the examples with ff2chi and running feffit work for me. I sort of don't understand how that could happen (a FeffPathGroup does -- or should -- have a `dataset` attribute).

Can you provide an example that shows the problem?

--Matt _______________________________________________ Ifeffit mailing list Ifeffit@millenia.cars.aps.anl.gov http://millenia.cars.aps.anl.gov/mailman/listinfo/ifeffit Unsubscribe: http://millenia.cars.aps.anl.gov/mailman/options/ifeffit

-- Best regards,

Ph. D. Eun-Suk Jeong X-ray absorption fine structure(EXAFS+XANES) Mobile:+82-10-4628-9896

-- Best regards,

Ph. D. Eun-Suk Jeong X-ray absorption fine structure(EXAFS+XANES) Mobile:+82-10-4628-9896

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