Tue May 20 22:32:10 2025 solve_test(): python version: 3.10.12 numpy version: 1.26.4 Test solve(). i4_log_10_test i4_log_10: whole part of log base 10, X, i4_log_10 0 0 1 0 2 0 3 0 9 0 10 1 11 1 99 1 101 2 -1 0 -2 0 -3 0 -9 0 r8ge_fs_test r8ge_fs factors and solves a linear system involving an R8GE matrix. Matrix order N = 10 Solution: 0: 1 1: 2 2: 3 3: 4 4: 5 5: 6 6: 7 7: 8 8: 9 9: 10 r8ge_indicator_test r8ge_indicator returns the indicator matrix. Indicator matrix: Col: 0 1 2 3 Row 0 : 11 12 13 14 1 : 21 22 23 24 2 : 31 32 33 34 3 : 41 42 43 44 4 : 51 52 53 54 r8ge_mv_test r8ge_mv computes a matrix product b=A*x for an R8GE matrix. The matrix A: Col: 0 1 2 3 Row 0 : 11 12 13 14 1 : 21 22 23 24 2 : 31 32 33 34 3 : 41 42 43 44 4 : 51 52 53 54 The vector X: 0: 1 1: 2 2: 3 3: 4 4: 5 The vector b=A*x: 0: 130 1: 230 2: 330 3: 430 r8ge_random_test(): r8ge_random() computes a random R8GE. 0 <= X <= 1 Random R8GE: Col: 0 1 2 3 Row 0 : 0.0678712 0.854384 0.0281366 0.619883 1 : 0.279521 0.595635 0.0464386 0.527989 2 : 0.890632 0.683416 0.631731 0.562741 3 : 0.822199 0.458262 0.044609 0.429794 4 : 0.763692 0.29963 0.201747 0.454832 r8vec_indicator1_test r8vec_indicator1 returns the 1-based indicator matrix. The 1-based indicator vector: 0: 1 1: 2 2: 3 3: 4 4: 5 5: 6 6: 7 7: 8 8: 9 9: 10 solve_test(): Normal end of execution. Tue May 20 22:32:10 2025