dol: initial dol commit
[jump.git] / dol / test / reference / example5_Windows XP.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 -0.382683 + 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: -9.000000 + j *  4.000000
34 input_generator: Write to input_coefficients_1: -2.000000 + j *  0.000000
35 input_generator: Write to input_coefficients_2: -3.000000 + j *  0.000000
36 input_generator: Write to input_coefficients_3:  8.000000 + j *  3.000000
37 input_generator: Write to input_coefficients_4:  6.000000 + j *  0.000000
38 input_generator: Write to input_coefficients_5: -7.000000 + j * -9.000000
39 input_generator: Write to input_coefficients_6: -5.000000 + j *  2.000000
40 input_generator: Write to input_coefficients_7:  1.000000 + j *  2.000000
41 input_generator: Write to input_coefficients_8:  8.000000 + j * -4.000000
42 input_generator: Write to input_coefficients_9: -6.000000 + j * -4.000000
43 input_generator: Write to input_coefficients_10:  9.000000 + j * -2.000000
44 input_generator: Write to input_coefficients_11: -8.000000 + j * -4.000000
45 input_generator: Write to input_coefficients_12: -3.000000 + j *  1.000000
46 input_generator: Write to input_coefficients_13: -9.000000 + j *  7.000000
47 input_generator: Write to input_coefficients_14: -9.000000 + j * -9.000000
48 input_generator: Write to input_coefficients_15: -7.000000 + j *  7.000000
49 output_consumer: coeff[0]: -36.000000 + j * -6.000000
50 output_consumer: coeff[1]: -27.156870 + j * -5.812504
51 output_consumer: coeff[2]: -6.071069 + j * -25.242640
52 output_consumer: coeff[3]: -7.438680 + j *  7.017483
53 output_consumer: coeff[4]: -3.999999 + j * 28.000000
54 output_consumer: coeff[5]:  1.106642 + j * 13.313931
55 output_consumer: coeff[6]: -18.899494 + j *  3.443651
56 output_consumer: coeff[7]: -46.865753 + j * -33.359482
57 output_consumer: coeff[8]: 24.000000 + j * -10.000000
58 output_consumer: coeff[9]: -13.085772 + j *  2.398290
59 output_consumer: coeff[10]:  8.071067 + j * -16.757360
60 output_consumer: coeff[11]: 16.450871 + j * 51.024147
61 output_consumer: coeff[12]: 24.000000 + j * -8.000000
62 output_consumer: coeff[13]: -32.863998 + j * -13.899717
63 output_consumer: coeff[14]:  0.899496 + j * 34.556351
64 output_consumer: coeff[15]: -26.146439 + j * 43.317848