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But using %lu solved the issue But i only know how to do it without pivoting. Actually, rather than focusing on the problem and the line of codes, i want to know about the difference between %ul and %lu

Maybe i could figure out what's wrong I want to implement my own lu decomposition p,l,u = my_lu (a), so that given a matrix a, computes the lu decomposition with partial pivoting Searching doesn't give me something useful (except that they are different)

Any explanation or link/reference is appreciated.

689 %lu is the correct format for unsigned long Sounds like there are other issues at play here, such as memory corruption or an uninitialized variable Perhaps show us a larger picture? 9 what is the difference between %zu and %lu in string formatting in c

%lu is used for unsigned long values and %zu is used for size_t values, but in practice, size_t is just an unsigned long Cppcheck complains about it, but both work for both types in my experience. Import numpy as np from statsmodels.tsa.arima.model import arima items = np.log(og_items) items['count'] = items['count'].apply(lambda x 0 if math.isnan(x) or math.isinf(x) else x) model = arima(items, order=(14, 0, 7)) trained = model.fit() items is a dataframe containing a date index and a single column, count

I apply the lambda on the second line because some counts can be 0, resulting in.

/* c99 version */ printf(%lu\n, (unsigned long)sz) /* common c89 version */ if you don't get the format specifiers correct for the type you are passing, then printf will do the equivalent of reading too much or too little memory out of the array As long as you use explicit casts to match up types, it's portable. Asked 11 years, 1 month ago modified 10 years ago viewed 27k times

When i print the number using the format specifier %llu, what is printed is %lu I also compare the value i get from atoll or strtoll with the expected value and it is smaller, which i guess shows that an overflow has occurred Why does an overflow occur if the number fits in a u64 variable The number for example is 946688831000.

I get a 'lu decomposition' error where using sarimax in the statsmodels python package