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  • Whats the difference between %ul and %lu C format specifiers?
    But using %lu solved the issue 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 Searching doesn't give me something useful (except that "they are different") Any explanation or link reference is appreciated
  • How to printf unsigned long in C? - Stack Overflow
    @Anisha Kaul: %lu is a valid conversion specification, %ul is not %lu, broken out is: % — starts a "conversion specification"; l — the length modifier, l means " [unsigned] long int"; u — the conversion specifier, u is for an unsigned int to be printed out as decimal Because we gave the length modifier l, it then accepts an unsigned long int The letters must be in that order: percent
  • c++ - printf and %llu vs %lu on OS X - Stack Overflow
    Possible Duplicate: how to printf uint64_t? Why is it that on my 64-bit Mac (I am using Clang) the uint64_t type is unsigned long long while on 64-bit Ubuntu the uint64_t type is unsigned long?
  • c# - What does this regexp mean - \p {Lu}? - Stack Overflow
    What does this regexp mean - "\p {Lu}"? Asked 11 years, 3 months ago Modified 10 years, 1 month ago Viewed 27k times
  • LU decomposition error using SARIMAX in statsmodels
    I get a 'LU decomposition' error where using SARIMAX in the statsmodels python package This is the code:
  • matrix - How to implement LU decomposition with partial pivoting in . . .
    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 But I only know how to do it without pivoting
  • LU decomposition error in statsmodels ARIMA model
    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
  • Perform LU decomposition without pivoting in MATLAB
    LU decomposition without pivoting is rarely seen in practice It's primarily used to introduced people to the idea of the technique, then the introduction builds by introducing pivoting




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