dol/test/reference/example5_Linux.txt

   1        FFT2_0_0: twiddle_factor  1.000000 + j * -0.000000
   2        FFT2_0_1: twiddle_factor  1.000000 + j * -0.000000
   3        FFT2_0_2: twiddle_factor  1.000000 + j * -0.000000
   4        FFT2_0_3: twiddle_factor  1.000000 + j * -0.000000
   5        FFT2_0_4: twiddle_factor  1.000000 + j * -0.000000
   6        FFT2_0_5: twiddle_factor  1.000000 + j * -0.000000
   7        FFT2_0_6: twiddle_factor  1.000000 + j * -0.000000
   8        FFT2_0_7: twiddle_factor  1.000000 + j * -0.000000
   9        FFT2_1_0: twiddle_factor  1.000000 + j * -0.000000
  10        FFT2_1_1: twiddle_factor -0.000000 + j * -1.000000
  11        FFT2_1_2: twiddle_factor  1.000000 + j * -0.000000
  12        FFT2_1_3: twiddle_factor -0.000000 + j * -1.000000
  13        FFT2_1_4: twiddle_factor  1.000000 + j * -0.000000
  14        FFT2_1_5: twiddle_factor -0.000000 + j * -1.000000
  15        FFT2_1_6: twiddle_factor  1.000000 + j * -0.000000
  16        FFT2_1_7: twiddle_factor -0.000000 + j * -1.000000
  17        FFT2_2_0: twiddle_factor  1.000000 + j * -0.000000
  18        FFT2_2_1: twiddle_factor  0.707107 + j * -0.707107
  19        FFT2_2_2: twiddle_factor -0.000000 + j * -1.000000
  20        FFT2_2_3: twiddle_factor -0.707107 + j * -0.707107
  21        FFT2_2_4: twiddle_factor  1.000000 + j * -0.000000
  22        FFT2_2_5: twiddle_factor  0.707107 + j * -0.707107
  23        FFT2_2_6: twiddle_factor -0.000000 + j * -1.000000
  24        FFT2_2_7: twiddle_factor -0.707107 + j * -0.707107
  25        FFT2_3_0: twiddle_factor  1.000000 + j * -0.000000
  26        FFT2_3_1: twiddle_factor  0.923880 + j * -0.382683
  27        FFT2_3_2: twiddle_factor  0.707107 + j * -0.707107
  28        FFT2_3_3: twiddle_factor  0.382683 + j * -0.923880
  29        FFT2_3_4: twiddle_factor -0.000000 + j * -1.000000
  30        FFT2_3_5: twiddle_factor -0.382684 + j * -0.923880
  31        FFT2_3_6: twiddle_factor -0.707107 + j * -0.707107
  32        FFT2_3_7: twiddle_factor -0.923880 + j * -0.382683
  33 input_generator: Write to input_coefficients_0: -7.000000 + j *  6.000000
  34 input_generator: Write to input_coefficients_1: -6.000000 + j * -6.000000
  35 input_generator: Write to input_coefficients_2:  1.000000 + j * -1.000000
  36 input_generator: Write to input_coefficients_3:  1.000000 + j *  2.000000
  37 input_generator: Write to input_coefficients_4: -7.000000 + j * -2.000000
  38 input_generator: Write to input_coefficients_5: -8.000000 + j *  0.000000
  39 input_generator: Write to input_coefficients_6: -8.000000 + j *  1.000000
  40 input_generator: Write to input_coefficients_7: -8.000000 + j *  1.000000
  41 input_generator: Write to input_coefficients_8: -2.000000 + j *  8.000000
  42 input_generator: Write to input_coefficients_9: -4.000000 + j *  0.000000
  43 input_generator: Write to input_coefficients_10:  1.000000 + j *  6.000000
  44 input_generator: Write to input_coefficients_11: -1.000000 + j *  3.000000
  45 input_generator: Write to input_coefficients_12: -2.000000 + j *  3.000000
  46 input_generator: Write to input_coefficients_13: -3.000000 + j * -2.000000
  47 input_generator: Write to input_coefficients_14: -4.000000 + j * -8.000000
  48 input_generator: Write to input_coefficients_15: -3.000000 + j * -5.000000
  49 output_consumer: coeff[0]: -60.000000 + j *  6.000000
  50 output_consumer: coeff[1]:  0.616942 + j * -12.269464
  51 output_consumer: coeff[2]:  8.464464 + j * -18.677670
  52 output_consumer: coeff[3]: -7.116004 + j * 10.640678
  53 output_consumer: coeff[4]: -17.000000 + j * 27.000000
  54 output_consumer: coeff[5]: -9.306217 + j * 18.624950
  55 output_consumer: coeff[6]: -1.393398 + j * 27.707106
  56 output_consumer: coeff[7]: -3.112326 + j * -3.457108
  57 output_consumer: coeff[8]:  4.000000 + j * 20.000000
  58 output_consumer: coeff[9]: -12.131660 + j *  1.298900
  59 output_consumer: coeff[10]: 15.535534 + j * 16.677666
  60 output_consumer: coeff[11]:  4.287576 + j *  3.643592
  61 output_consumer: coeff[12]:  1.000000 + j *  7.000000
  62 output_consumer: coeff[13]: -19.179064 + j *  4.345614
  63 output_consumer: coeff[14]: -22.606600 + j * 26.292894
  64 output_consumer: coeff[15]:  5.940753 + j * -38.827164