whitespace fixes and some minor adjustments for building the Python

manual.
author: Tom Rondeau <tom@trondeau.com> 2015-08-17 12:26:24 -0400
committer: Tom Rondeau <tom@trondeau.com> 2015-08-17 12:26:24 -0400
commit: dff90672879bf1ed9d3e083ba236fdd6ce29e168 (patch)
tree: 7b066b9aa14af2758a515d6a4c3c2ea137cf2a24
parent: 22e2f1aed8afdfccce3884cf6bf3140c2b8e3f53 (diff)
9 files changed, 983 insertions, 523 deletions
diff --git a/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx b/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
index a05ea3a28e..621cc619b7 100644
--- a/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
+++ b/gnuradio-runtime/python/gnuradio/ctrlport/gr-perf-monitorx
@@ -582,7 +582,7 @@ class MForm(QtGui.QWidget):
 
     def pauseFlowgraph(self):
         knobs = [self.radioclient.Knob(self.top_block + "::lock"),
-                self.radioclient.Knob(self.top_block + "::stop")]
+                 self.radioclient.Knob(self.top_block + "::stop")]
         k = self.radioclient.setKnobs(knobs)
 
     def unpauseFlowgraph(self):
diff --git a/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h b/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
index cdaaeb285a..4d489d1534 100644
--- a/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
+++ b/gr-digital/include/gnuradio/digital/pfb_clock_sync_ccf.h
@@ -319,7 +319,7 @@ namespace gr {
        * \brief Returns the current error of the control loop.
        */
       virtual float error() const = 0;
-  
+
       /*!
        * \brief Returns the current rate of the control loop.
        */
diff --git a/gr-digital/python/digital/ofdm_packet_utils.py b/gr-digital/python/digital/ofdm_packet_utils.py
index c49dfe4f8e..e9ca641c7a 100644
--- a/gr-digital/python/digital/ofdm_packet_utils.py
+++ b/gr-digital/python/digital/ofdm_packet_utils.py
@@ -1,23 +1,23 @@
 #
 # Copyright 2007 Free Software Foundation, Inc.
-# 
+#
 # This file is part of GNU Radio
-# 
+#
 # GNU Radio is free software; you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation; either version 3, or (at your option)
 # any later version.
-# 
+#
 # GNU Radio is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
-# 
+#
 # You should have received a copy of the GNU General Public License
 # along with GNU Radio; see the file COPYING.  If not, write to
 # the Free Software Foundation, Inc., 51 Franklin Street,
 # Boston, MA 02110-1301, USA.
-# 
+#
 
 import struct
 import numpy
@@ -47,7 +47,7 @@ def conv_1_0_string_to_packed_binary_string(s):
     """
     if not is_1_0_string(s):
         raise ValueError, "Input must be a string containing only 0's and 1's"
-    
+
     # pad to multiple of 8
     padded = False
     rem = len(s) % 8
@@ -67,7 +67,7 @@ def conv_1_0_string_to_packed_binary_string(s):
         r.append(chr(t))
         i += 8
     return (''.join(r), padded)
-        
+
 
 def is_1_0_string(s):
     if not isinstance(s, str):
@@ -107,7 +107,7 @@ def make_packet(payload, samples_per_symbol, bits_per_symbol,
         bits_per_symbol: (needed for padding calculation) (int)
         whitener_offset: offset into whitener string to use [0-16)
         whitening: Turn whitener on or off (bool)
-    
+
     Packet will have access code at the beginning, followed by length, payload
     and finally CRC-32.
     """
@@ -162,7 +162,7 @@ def _npadding_bytes(pkt_byte_len, samples_per_symbol, bits_per_symbol):
     if r == 0:
         return 0
     return byte_modulus - r
-    
+
 
 def unmake_packet(whitened_payload_with_crc, whitener_offset=0, dewhitening=1):
     """
@@ -191,262 +191,261 @@ def unmake_packet(whitened_payload_with_crc, whitener_offset=0, dewhitening=1):
 
 # FYI, this PN code is the output of a 15-bit LFSR
 random_mask_tuple = (
-  255,  63,   0,  16,   0,  12,   0,   5, 192,   3,  16,   1, 204,   0,  85, 192, 
-   63,  16,  16,  12,  12,   5, 197, 195,  19,  17, 205, 204,  85, 149, 255,  47, 
-    0,  28,   0,   9, 192,   6, 208,   2, 220,   1, 153, 192, 106, 208,  47,  28, 
-   28,   9, 201, 198, 214, 210, 222, 221, 152,  89, 170, 186, 255,  51,   0,  21, 
-  192,  15,  16,   4,  12,   3,  69, 193, 243,  16,  69, 204,  51,  21, 213, 207, 
-   31,  20,   8,  15,  70, 132,  50, 227,  85, 137, 255,  38, 192,  26, 208,  11, 
-   28,   7,  73, 194, 182, 209, 182, 220, 118, 217, 230, 218, 202, 219,  23,  27, 
-   78, 139, 116, 103, 103, 106, 170, 175,  63,  60,  16,  17, 204,  12,  85, 197, 
-  255,  19,   0,  13, 192,   5, 144,   3,  44,   1, 221, 192,  89, 144,  58, 236, 
-   19,  13, 205, 197, 149, 147,  47,  45, 220,  29, 153, 201, 170, 214, 255,  30, 
-  192,   8,  80,   6, 188,   2, 241, 193, 132,  80,  99, 124,  41, 225, 222, 200, 
-   88,  86, 186, 190, 243,  48,  69, 212,  51,  31,  85, 200,  63,  22, 144,  14, 
-  236,   4,  77, 195, 117, 145, 231,  44,  74, 157, 247,  41, 134, 158, 226, 232, 
-   73, 142, 182, 228, 118, 203, 102, 215, 106, 222, 175,  24, 124,  10, 161, 199, 
-   56,  82, 146, 189, 173, 177, 189, 180, 113, 183, 100, 118, 171, 102, 255, 106, 
-  192,  47,  16,  28,  12,   9, 197, 198, 211,  18, 221, 205, 153, 149, 170, 239, 
-   63,  12,  16,   5, 204,   3,  21, 193, 207,  16,  84,  12,  63,  69, 208,  51, 
-   28,  21, 201, 207,  22, 212,  14, 223,  68,  88,  51, 122, 149, 227,  47,   9, 
-  220,   6, 217, 194, 218, 209, 155,  28, 107,  73, 239, 118, 204,  38, 213, 218, 
-  223,  27,  24,  11,  74, 135, 119,  34, 166, 153, 186, 234, 243,  15,   5, 196, 
-    3,  19,  65, 205, 240,  85, 132,  63,  35,  80,  25, 252,  10, 193, 199,  16, 
-   82, 140,  61, 165, 209, 187,  28, 115,  73, 229, 246, 203,   6, 215,  66, 222, 
-  177, 152, 116, 106, 167, 111,  58, 172,  19,  61, 205, 209, 149, 156, 111,  41, 
-  236,  30, 205, 200,  85, 150, 191,  46, 240,  28,  68,   9, 243,  70, 197, 242, 
-  211,   5, 157, 195,  41, 145, 222, 236,  88,  77, 250, 181, 131,  55,  33, 214, 
-  152,  94, 234, 184,  79,  50, 180,  21, 183,  79,  54, 180,  22, 247,  78, 198, 
-  180,  82, 247, 125, 134, 161, 162, 248, 121, 130, 162, 225, 185, 136, 114, 230, 
-  165, 138, 251,  39,   3,  90, 129, 251,  32,  67,  88,  49, 250, 148,  67,  47, 
-  113, 220,  36,  89, 219, 122, 219,  99,  27, 105, 203, 110, 215, 108,  94, 173, 
-  248, 125, 130, 161, 161, 184, 120, 114, 162, 165, 185, 187,  50, 243,  85, 133, 
-  255,  35,   0,  25, 192,  10, 208,   7,  28,   2, 137, 193, 166, 208, 122, 220, 
-   35,  25, 217, 202, 218, 215,  27,  30, 139,  72, 103, 118, 170, 166, 255,  58, 
-  192,  19,  16,  13, 204,   5, 149, 195,  47,  17, 220,  12,  89, 197, 250, 211, 
-    3,  29, 193, 201, 144,  86, 236,  62, 205, 208,  85, 156,  63,  41, 208,  30, 
-  220,   8,  89, 198, 186, 210, 243,  29, 133, 201, 163,  22, 249, 206, 194, 212, 
-   81, 159, 124, 104,  33, 238, 152,  76, 106, 181, 239,  55,  12,  22, 133, 206, 
-  227,  20,  73, 207, 118, 212,  38, 223,  90, 216,  59,  26, 147,  75,  45, 247, 
-   93, 134, 185, 162, 242, 249, 133, 130, 227,  33, 137, 216, 102, 218, 170, 219, 
-   63,  27,  80,  11, 124,   7,  97, 194, 168,  81, 190, 188, 112, 113, 228,  36, 
-   75,  91, 119, 123, 102, 163, 106, 249, 239,   2, 204,   1, 149, 192, 111,  16, 
-   44,  12,  29, 197, 201, 147,  22, 237, 206, 205, 148,  85, 175, 127,  60,  32, 
-   17, 216,  12,  90, 133, 251,  35,   3,  89, 193, 250, 208,  67,  28,  49, 201, 
-  212,  86, 223, 126, 216,  32,  90, 152,  59,  42, 147,  95,  45, 248,  29, 130, 
-  137, 161, 166, 248, 122, 194, 163,  17, 185, 204, 114, 213, 229, 159,  11,  40, 
-    7,  94, 130, 184,  97, 178, 168, 117, 190, 167,  48, 122, 148,  35,  47,  89, 
-  220,  58, 217, 211,  26, 221, 203,  25, 151,  74, 238, 183,  12, 118, 133, 230, 
-  227,  10, 201, 199,  22, 210, 142, 221, 164,  89, 187, 122, 243,  99,   5, 233, 
-  195,  14, 209, 196,  92,  83, 121, 253, 226, 193, 137, 144, 102, 236,  42, 205, 
-  223,  21, 152,  15,  42, 132,  31,  35,  72,  25, 246, 138, 198, 231,  18, 202, 
-  141, 151,  37, 174, 155,  60, 107,  81, 239, 124,  76,  33, 245, 216,  71,  26, 
-  178, 139,  53, 167,  87,  58, 190, 147,  48, 109, 212,  45, 159,  93, 168,  57, 
-  190, 146, 240, 109, 132,  45, 163,  93, 185, 249, 178, 194, 245, 145, 135,  44, 
-   98, 157, 233, 169, 142, 254, 228,  64,  75, 112,  55, 100,  22, 171,  78, 255, 
-  116,  64,  39, 112,  26, 164,  11,  59,  71,  83, 114, 189, 229, 177, 139,  52, 
-  103,  87, 106, 190, 175,  48, 124,  20,  33, 207,  88,  84,  58, 191,  83,  48, 
-   61, 212,  17, 159,  76, 104,  53, 238, 151,  12, 110, 133, 236,  99,  13, 233, 
-  197, 142, 211,  36,  93, 219, 121, 155,  98, 235, 105, 143, 110, 228,  44,  75, 
-   93, 247, 121, 134, 162, 226, 249, 137, 130, 230, 225, 138, 200, 103,  22, 170, 
-  142, 255,  36,  64,  27, 112,  11, 100,   7, 107,  66, 175, 113, 188,  36, 113, 
-  219, 100,  91, 107, 123, 111,  99, 108,  41, 237, 222, 205, 152,  85, 170, 191, 
-   63,  48,  16,  20,  12,  15,  69, 196,  51,  19,  85, 205, 255,  21, 128,  15, 
-   32,   4,  24,   3,  74, 129, 247,  32,  70, 152,  50, 234, 149, 143,  47,  36, 
-   28,  27,  73, 203, 118, 215, 102, 222, 170, 216, 127,  26, 160,  11,  56,   7, 
-   82, 130, 189, 161, 177, 184, 116, 114, 167, 101, 186, 171,  51,  63,  85, 208, 
-   63,  28,  16,   9, 204,   6, 213, 194, 223,  17, 152,  12, 106, 133, 239,  35, 
-   12,  25, 197, 202, 211,  23,  29, 206, 137, 148, 102, 239, 106, 204,  47,  21, 
-  220,  15,  25, 196,  10, 211,  71,  29, 242, 137, 133, 166, 227,  58, 201, 211, 
-   22, 221, 206, 217, 148,  90, 239, 123,  12,  35,  69, 217, 243,  26, 197, 203, 
-   19,  23,  77, 206, 181, 148, 119,  47, 102, 156,  42, 233, 223,  14, 216,   4, 
-   90, 131, 123,  33, 227,  88,  73, 250, 182, 195,  54, 209, 214, 220,  94, 217, 
-  248,  90, 194, 187,  17, 179,  76, 117, 245, 231,   7,  10, 130, 135,  33, 162, 
-  152, 121, 170, 162, 255,  57, 128,  18, 224,  13, 136,   5, 166, 131,  58, 225, 
-  211,   8,  93, 198, 185, 146, 242, 237, 133, 141, 163,  37, 185, 219,  50, 219, 
-   85, 155, 127,  43,  96,  31, 104,   8,  46, 134, 156,  98, 233, 233, 142, 206, 
-  228,  84,  75, 127, 119,  96,  38, 168,  26, 254, 139,   0, 103,  64,  42, 176, 
-   31,  52,   8,  23,  70, 142, 178, 228, 117, 139, 103,  39, 106, 154, 175,  43, 
-   60,  31,  81, 200,  60,  86, 145, 254, 236,  64,  77, 240,  53, 132,  23,  35, 
-   78, 153, 244, 106, 199, 111,  18, 172,  13, 189, 197, 177, 147,  52, 109, 215, 
-  109, 158, 173, 168, 125, 190, 161, 176, 120, 116,  34, 167,  89, 186, 186, 243, 
-   51,   5, 213, 195,  31,  17, 200,  12,  86, 133, 254, 227,   0,  73, 192,  54, 
-  208,  22, 220,  14, 217, 196,  90, 211, 123,  29, 227,  73, 137, 246, 230, 198, 
-  202, 210, 215,  29, 158, 137, 168, 102, 254, 170, 192, 127,  16,  32,  12,  24, 
-    5, 202, 131,  23,  33, 206, 152,  84, 106, 191, 111,  48,  44,  20,  29, 207, 
-   73, 148,  54, 239,  86, 204,  62, 213, 208,  95,  28,  56,   9, 210, 134, 221, 
-  162, 217, 185, 154, 242, 235,   5, 143,  67,  36,  49, 219,  84,  91, 127, 123, 
-   96,  35, 104,  25, 238, 138, 204, 103,  21, 234, 143,  15,  36,   4,  27,  67, 
-   75, 113, 247, 100,  70, 171, 114, 255, 101, 128,  43,  32,  31,  88,   8,  58, 
-  134, 147,  34, 237, 217, 141, 154, 229, 171,  11,  63,  71,  80,  50, 188,  21, 
-  177, 207,  52,  84,  23, 127,  78, 160,  52, 120,  23,  98, 142, 169, 164, 126, 
-  251,  96,  67, 104,  49, 238, 148,  76, 111, 117, 236,  39,  13, 218, 133, 155, 
-   35,  43,  89, 223, 122, 216,  35,  26, 153, 203,  42, 215,  95,  30, 184,   8, 
-  114, 134, 165, 162, 251,  57, 131,  82, 225, 253, 136,  65, 166, 176, 122, 244, 
-   35,   7,  89, 194, 186, 209, 179,  28, 117, 201, 231,  22, 202, 142, 215,  36, 
-   94, 155, 120, 107,  98, 175, 105, 188,  46, 241, 220,  68,  89, 243, 122, 197, 
-  227,  19,   9, 205, 198, 213, 146, 223,  45, 152,  29, 170, 137, 191,  38, 240, 
-   26, 196,  11,  19,  71,  77, 242, 181, 133, 183,  35,  54, 153, 214, 234, 222, 
-  207,  24,  84,  10, 191,  71,  48,  50, 148,  21, 175,  79,  60,  52,  17, 215, 
-   76,  94, 181, 248, 119,   2, 166, 129, 186, 224, 115,   8,  37, 198, 155,  18, 
-  235,  77, 143, 117, 164,  39,  59,  90, 147, 123,  45, 227,  93, 137, 249, 166, 
-  194, 250, 209, 131,  28,  97, 201, 232,  86, 206, 190, 212, 112,  95, 100,  56, 
-   43,  82, 159, 125, 168,  33, 190, 152, 112, 106, 164,  47,  59,  92,  19, 121, 
-  205, 226, 213, 137, 159,  38, 232,  26, 206, 139,  20, 103,  79, 106, 180,  47, 
-   55,  92,  22, 185, 206, 242, 212,  69, 159, 115,  40,  37, 222, 155,  24, 107, 
-   74, 175, 119,  60,  38, 145, 218, 236,  91,  13, 251,  69, 131, 115,  33, 229, 
-  216,  75,  26, 183,  75,  54, 183,  86, 246, 190, 198, 240,  82, 196,  61, 147, 
-   81, 173, 252, 125, 129, 225, 160,  72, 120,  54, 162, 150, 249, 174, 194, 252, 
-   81, 129, 252,  96,  65, 232,  48,  78, 148,  52, 111,  87, 108,  62, 173, 208, 
-  125, 156,  33, 169, 216, 126, 218, 160,  91,  56,  59,  82, 147, 125, 173, 225, 
-  189, 136, 113, 166, 164, 122, 251,  99,   3, 105, 193, 238, 208,  76,  92,  53, 
-  249, 215,   2, 222, 129, 152,  96, 106, 168,  47,  62, 156,  16, 105, 204,  46, 
-  213, 220,  95,  25, 248,  10, 194, 135,  17, 162, 140, 121, 165, 226, 251,   9, 
-  131,  70, 225, 242, 200,  69, 150, 179,  46, 245, 220,  71,  25, 242, 138, 197, 
-  167,  19,  58, 141, 211,  37, 157, 219,  41, 155,  94, 235, 120,  79,  98, 180, 
-   41, 183,  94, 246, 184,  70, 242, 178, 197, 181, 147,  55,  45, 214, 157, 158, 
-  233, 168,  78, 254, 180,  64, 119, 112,  38, 164,  26, 251,  75,   3, 119,  65, 
-  230, 176,  74, 244,  55,   7,  86, 130, 190, 225, 176,  72, 116,  54, 167,  86, 
-  250, 190, 195,  48,  81, 212,  60,  95,  81, 248,  60,  66, 145, 241, 172,  68, 
-  125, 243,  97, 133, 232,  99,  14, 169, 196, 126, 211,  96,  93, 232,  57, 142, 
-  146, 228, 109, 139, 109, 167, 109, 186, 173, 179,  61, 181, 209, 183,  28, 118, 
-  137, 230, 230, 202, 202, 215,  23,  30, 142, 136, 100, 102, 171, 106, 255, 111, 
-    0,  44,   0,  29, 192,   9, 144,   6, 236,   2, 205, 193, 149, 144, 111,  44, 
-   44,  29, 221, 201, 153, 150, 234, 238, 207,  12,  84,   5, 255,  67,   0,  49, 
-  192,  20,  80,  15, 124,   4,  33, 195,  88,  81, 250, 188,  67,  49, 241, 212, 
-   68,  95, 115, 120,  37, 226, 155,   9, 171,  70, 255, 114, 192,  37, 144,  27, 
-   44,  11,  93, 199, 121, 146, 162, 237, 185, 141, 178, 229, 181, 139,  55,  39, 
-   86, 154, 190, 235,  48,  79,  84,  52,  63,  87,  80,  62, 188,  16, 113, 204, 
-   36,  85, 219, 127,  27,  96,  11, 104,   7, 110, 130, 172,  97, 189, 232, 113, 
-  142, 164, 100, 123, 107,  99, 111, 105, 236,  46, 205, 220,  85, 153, 255,  42, 
-  192,  31,  16,   8,  12,   6, 133, 194, 227,  17, 137, 204, 102, 213, 234, 223, 
-   15,  24,   4,  10, 131,  71,  33, 242, 152,  69, 170, 179,  63,  53, 208,  23, 
-   28,  14, 137, 196, 102, 211, 106, 221, 239,  25, 140,  10, 229, 199,  11,  18, 
-  135,  77, 162, 181, 185, 183,  50, 246, 149, 134, 239,  34, 204,  25, 149, 202, 
-  239,  23,  12,  14, 133, 196,  99,  19, 105, 205, 238, 213, 140,  95,  37, 248, 
-   27,   2, 139,  65, 167, 112, 122, 164,  35,  59,  89, 211, 122, 221, 227,  25, 
-  137, 202, 230, 215,  10, 222, 135,  24,  98, 138, 169, 167,  62, 250, 144,  67, 
-   44,  49, 221, 212,  89, 159, 122, 232,  35,  14, 153, 196, 106, 211, 111,  29, 
-  236,   9, 141, 198, 229, 146, 203,  45, 151,  93, 174, 185, 188, 114, 241, 229, 
-  132,  75,  35, 119,  89, 230, 186, 202, 243,  23,   5, 206, 131,  20,  97, 207, 
-  104,  84,  46, 191,  92, 112,  57, 228,  18, 203,  77, 151, 117, 174, 167,  60, 
-  122, 145, 227,  44,  73, 221, 246, 217, 134, 218, 226, 219,   9, 155,  70, 235, 
-  114, 207, 101, 148,  43,  47,  95,  92,  56,  57, 210, 146, 221, 173, 153, 189, 
-  170, 241, 191,   4, 112,   3, 100,   1, 235,  64,  79, 112,  52,  36,  23,  91, 
-   78, 187, 116, 115, 103, 101, 234, 171,  15,  63,  68,  16,  51,  76,  21, 245, 
-  207,   7,  20,   2, 143,  65, 164,  48, 123,  84,  35, 127,  89, 224,  58, 200, 
-   19,  22, 141, 206, 229, 148,  75,  47, 119,  92,  38, 185, 218, 242, 219,   5, 
-  155,  67,  43, 113, 223, 100,  88,  43, 122, 159,  99,  40,  41, 222, 158, 216, 
-  104,  90, 174, 187,  60, 115,  81, 229, 252,  75,   1, 247,  64,  70, 176,  50, 
-  244,  21, 135,  79,  34, 180,  25, 183,  74, 246, 183,   6, 246, 130, 198, 225, 
-  146, 200, 109, 150, 173, 174, 253, 188,  65, 177, 240, 116,  68,  39, 115,  90, 
-  165, 251,  59,   3,  83,  65, 253, 240,  65, 132,  48,  99,  84,  41, 255,  94, 
-  192,  56,  80,  18, 188,  13, 177, 197, 180,  83,  55, 125, 214, 161, 158, 248, 
-  104,  66, 174, 177, 188, 116, 113, 231, 100,  74, 171, 119,  63, 102, 144,  42, 
-  236,  31,  13, 200,   5, 150, 131,  46, 225, 220,  72,  89, 246, 186, 198, 243, 
-   18, 197, 205, 147,  21, 173, 207,  61, 148,  17, 175,  76, 124,  53, 225, 215, 
-    8,  94, 134, 184,  98, 242, 169, 133, 190, 227,  48,  73, 212,  54, 223,  86, 
-  216,  62, 218, 144,  91,  44,  59,  93, 211, 121, 157, 226, 233, 137, 142, 230, 
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+  207,  24,  84,  10, 191,  71,  48,  50, 148,  21, 175,  79,  60,  52,  17, 215,
+   76,  94, 181, 248, 119,   2, 166, 129, 186, 224, 115,   8,  37, 198, 155,  18,
+  235,  77, 143, 117, 164,  39,  59,  90, 147, 123,  45, 227,  93, 137, 249, 166,
+  194, 250, 209, 131,  28,  97, 201, 232,  86, 206, 190, 212, 112,  95, 100,  56,
+   43,  82, 159, 125, 168,  33, 190, 152, 112, 106, 164,  47,  59,  92,  19, 121,
+  205, 226, 213, 137, 159,  38, 232,  26, 206, 139,  20, 103,  79, 106, 180,  47,
+   55,  92,  22, 185, 206, 242, 212,  69, 159, 115,  40,  37, 222, 155,  24, 107,
+   74, 175, 119,  60,  38, 145, 218, 236,  91,  13, 251,  69, 131, 115,  33, 229,
+  216,  75,  26, 183,  75,  54, 183,  86, 246, 190, 198, 240,  82, 196,  61, 147,
+   81, 173, 252, 125, 129, 225, 160,  72, 120,  54, 162, 150, 249, 174, 194, 252,
+   81, 129, 252,  96,  65, 232,  48,  78, 148,  52, 111,  87, 108,  62, 173, 208,
+  125, 156,  33, 169, 216, 126, 218, 160,  91,  56,  59,  82, 147, 125, 173, 225,
+  189, 136, 113, 166, 164, 122, 251,  99,   3, 105, 193, 238, 208,  76,  92,  53,
+  249, 215,   2, 222, 129, 152,  96, 106, 168,  47,  62, 156,  16, 105, 204,  46,
+  213, 220,  95,  25, 248,  10, 194, 135,  17, 162, 140, 121, 165, 226, 251,   9,
+  131,  70, 225, 242, 200,  69, 150, 179,  46, 245, 220,  71,  25, 242, 138, 197,
+  167,  19,  58, 141, 211,  37, 157, 219,  41, 155,  94, 235, 120,  79,  98, 180,
+   41, 183,  94, 246, 184,  70, 242, 178, 197, 181, 147,  55,  45, 214, 157, 158,
+  233, 168,  78, 254, 180,  64, 119, 112,  38, 164,  26, 251,  75,   3, 119,  65,
+  230, 176,  74, 244,  55,   7,  86, 130, 190, 225, 176,  72, 116,  54, 167,  86,
+  250, 190, 195,  48,  81, 212,  60,  95,  81, 248,  60,  66, 145, 241, 172,  68,
+  125, 243,  97, 133, 232,  99,  14, 169, 196, 126, 211,  96,  93, 232,  57, 142,
+  146, 228, 109, 139, 109, 167, 109, 186, 173, 179,  61, 181, 209, 183,  28, 118,
+  137, 230, 230, 202, 202, 215,  23,  30, 142, 136, 100, 102, 171, 106, 255, 111,
+    0,  44,   0,  29, 192,   9, 144,   6, 236,   2, 205, 193, 149, 144, 111,  44,
+   44,  29, 221, 201, 153, 150, 234, 238, 207,  12,  84,   5, 255,  67,   0,  49,
+  192,  20,  80,  15, 124,   4,  33, 195,  88,  81, 250, 188,  67,  49, 241, 212,
+   68,  95, 115, 120,  37, 226, 155,   9, 171,  70, 255, 114, 192,  37, 144,  27,
+   44,  11,  93, 199, 121, 146, 162, 237, 185, 141, 178, 229, 181, 139,  55,  39,
+   86, 154, 190, 235,  48,  79,  84,  52,  63,  87,  80,  62, 188,  16, 113, 204,
+   36,  85, 219, 127,  27,  96,  11, 104,   7, 110, 130, 172,  97, 189, 232, 113,
+  142, 164, 100, 123, 107,  99, 111, 105, 236,  46, 205, 220,  85, 153, 255,  42,
+  192,  31,  16,   8,  12,   6, 133, 194, 227,  17, 137, 204, 102, 213, 234, 223,
+   15,  24,   4,  10, 131,  71,  33, 242, 152,  69, 170, 179,  63,  53, 208,  23,
+   28,  14, 137, 196, 102, 211, 106, 221, 239,  25, 140,  10, 229, 199,  11,  18,
+  135,  77, 162, 181, 185, 183,  50, 246, 149, 134, 239,  34, 204,  25, 149, 202,
+  239,  23,  12,  14, 133, 196,  99,  19, 105, 205, 238, 213, 140,  95,  37, 248,
+   27,   2, 139,  65, 167, 112, 122, 164,  35,  59,  89, 211, 122, 221, 227,  25,
+  137, 202, 230, 215,  10, 222, 135,  24,  98, 138, 169, 167,  62, 250, 144,  67,
+   44,  49, 221, 212,  89, 159, 122, 232,  35,  14, 153, 196, 106, 211, 111,  29,
+  236,   9, 141, 198, 229, 146, 203,  45, 151,  93, 174, 185, 188, 114, 241, 229,
+  132,  75,  35, 119,  89, 230, 186, 202, 243,  23,   5, 206, 131,  20,  97, 207,
+  104,  84,  46, 191,  92, 112,  57, 228,  18, 203,  77, 151, 117, 174, 167,  60,
+  122, 145, 227,  44,  73, 221, 246, 217, 134, 218, 226, 219,   9, 155,  70, 235,
+  114, 207, 101, 148,  43,  47,  95,  92,  56,  57, 210, 146, 221, 173, 153, 189,
+  170, 241, 191,   4, 112,   3, 100,   1, 235,  64,  79, 112,  52,  36,  23,  91,
+   78, 187, 116, 115, 103, 101, 234, 171,  15,  63,  68,  16,  51,  76,  21, 245,
+  207,   7,  20,   2, 143,  65, 164,  48, 123,  84,  35, 127,  89, 224,  58, 200,
+   19,  22, 141, 206, 229, 148,  75,  47, 119,  92,  38, 185, 218, 242, 219,   5,
+  155,  67,  43, 113, 223, 100,  88,  43, 122, 159,  99,  40,  41, 222, 158, 216,
+  104,  90, 174, 187,  60, 115,  81, 229, 252,  75,   1, 247,  64,  70, 176,  50,
+  244,  21, 135,  79,  34, 180,  25, 183,  74, 246, 183,   6, 246, 130, 198, 225,
+  146, 200, 109, 150, 173, 174, 253, 188,  65, 177, 240, 116,  68,  39, 115,  90,
+  165, 251,  59,   3,  83,  65, 253, 240,  65, 132,  48,  99,  84,  41, 255,  94,
+  192,  56,  80,  18, 188,  13, 177, 197, 180,  83,  55, 125, 214, 161, 158, 248,
+  104,  66, 174, 177, 188, 116, 113, 231, 100,  74, 171, 119,  63, 102, 144,  42,
+  236,  31,  13, 200,   5, 150, 131,  46, 225, 220,  72,  89, 246, 186, 198, 243,
+   18, 197, 205, 147,  21, 173, 207,  61, 148,  17, 175,  76, 124,  53, 225, 215,
+    8,  94, 134, 184,  98, 242, 169, 133, 190, 227,  48,  73, 212,  54, 223,  86,
+  216,  62, 218, 144,  91,  44,  59,  93, 211, 121, 157, 226, 233, 137, 142, 230,
+  228,  74, 203, 119,  23, 102, 142, 170, 228, 127,  11,  96,   7, 104,   2, 174,
+  129, 188,  96, 113, 232,  36,  78, 155, 116, 107, 103, 111, 106, 172,  47,  61,
+  220,  17, 153, 204, 106, 213, 239,  31,  12,   8,   5, 198, 131,  18, 225, 205,
+  136,  85, 166, 191,  58, 240,  19,   4,  13, 195,  69, 145, 243,  44,  69, 221,
+  243,  25, 133, 202, 227,  23,   9, 206, 134, 212,  98, 223, 105, 152,  46, 234,
+  156,  79,  41, 244,  30, 199,  72,  82, 182, 189, 182, 241, 182, 196, 118, 211,
+  102, 221, 234, 217, 143,  26, 228,  11,  11,  71,  71, 114, 178, 165, 181, 187,
+   55,  51,  86, 149, 254, 239,   0,  76,   0,  53, 192,  23,  16,  14, 140,   4,
+  101, 195, 107,  17, 239,  76,  76,  53, 245, 215,   7,  30, 130, 136,  97, 166,
+  168, 122, 254, 163,   0, 121, 192,  34, 208,  25, 156,  10, 233, 199,  14, 210,
+  132,  93, 163, 121, 185, 226, 242, 201, 133, 150, 227,  46, 201, 220,  86, 217,
+  254, 218, 192,  91,  16,  59,  76,  19, 117, 205, 231,  21, 138, 143,  39,  36,
+   26, 155,  75,  43, 119,  95, 102, 184,  42, 242, 159,   5, 168,   3,  62, 129,
+  208,  96,  92,  40,  57, 222, 146, 216, 109, 154, 173, 171,  61, 191,  81, 176,
+   60, 116,  17, 231,  76,  74, 181, 247,  55,   6, 150, 130, 238, 225, 140,  72,
+  101, 246, 171,   6, 255,  66, 192,  49, 144,  20, 108,  15, 109, 196,  45, 147,
+   93, 173, 249, 189, 130, 241, 161, 132, 120,  99,  98, 169, 233, 190, 206, 240,
+   84,  68,  63, 115,  80,  37, 252,  27,   1, 203,  64,  87, 112,  62, 164,  16,
+  123,  76,  35, 117, 217, 231,  26, 202, 139,  23,  39,  78, 154, 180, 107,  55,
+  111,  86, 172,  62, 253, 208,  65, 156,  48, 105, 212,  46, 223,  92,  88,  57,
+  250, 146, 195,  45, 145, 221, 172,  89, 189, 250, 241, 131,   4,  97, 195, 104,
+   81, 238, 188,  76, 113, 245, 228,  71,  11, 114, 135, 101, 162, 171,  57, 191,
+   82, 240,  61, 132,  17, 163,  76, 121, 245, 226, 199,   9, 146, 134, 237, 162,
+  205, 185, 149, 178, 239,  53, 140,  23,  37, 206, 155,  20, 107,  79, 111, 116,
+   44,  39,  93, 218, 185, 155,  50, 235,  85, 143, 127,  36,  32,  27,  88,  11,
+  122, 135,  99,  34, 169, 217, 190, 218, 240,  91,   4,  59,  67,  83, 113, 253,
+  228,  65, 139, 112, 103, 100,  42, 171,  95,  63, 120,  16,  34, 140,  25, 165,
+  202, 251,  23,   3,  78, 129, 244,  96,  71, 104,  50, 174, 149, 188, 111,  49,
+  236,  20,  77, 207, 117, 148,  39,  47,  90, 156,  59,  41, 211,  94, 221, 248,
+   89, 130, 186, 225, 179,   8, 117, 198, 167,  18, 250, 141, 131,  37, 161, 219,
+   56,  91,  82, 187, 125, 179,  97, 181, 232, 119,  14, 166, 132, 122, 227,  99,
+    9, 233, 198, 206, 210, 212,  93, 159, 121, 168,  34, 254, 153, 128, 106, 224,
+   47,   8,  28,   6, 137, 194, 230, 209, 138, 220, 103,  25, 234, 138, 207,  39,
+   20,  26, 143,  75,  36,  55,  91,  86, 187, 126, 243,  96,  69, 232,  51,  14,
+  149, 196, 111,  19, 108,  13, 237, 197, 141, 147,  37, 173, 219,  61, 155,  81,
+  171, 124, 127,  97, 224,  40,  72,  30, 182, 136, 118, 230, 166, 202, 250, 215,
+    3,  30, 129, 200,  96,  86, 168,  62, 254, 144,  64, 108,  48,  45, 212,  29,
+  159,  73, 168,  54, 254, 150, 192, 110, 208,  44,  92,  29, 249, 201, 130, 214,
+  225, 158, 200, 104,  86, 174, 190, 252, 112,  65, 228,  48,  75,  84,  55, 127,
+   86, 160,  62, 248,  16,  66, 140,  49, 165, 212, 123,  31,  99,  72,  41, 246,
+  158, 198, 232,  82, 206, 189, 148, 113, 175, 100, 124,  43,  97, 223, 104,  88,
+   46, 186, 156, 115,  41, 229, 222, 203,  24,  87,  74, 190, 183,  48, 118, 148,
+   38, 239,  90, 204,  59,  21, 211,  79,  29, 244,   9, 135,  70, 226, 178, 201,
+  181, 150, 247,  46, 198, 156,  82, 233, 253, 142, 193, 164,  80, 123, 124,  35,
+   97, 217, 232,  90, 206, 187,  20, 115,  79, 101, 244,  43,   7,  95,  66, 184,
+   49, 178, 148, 117, 175, 103,  60,  42, 145, 223,  44,  88,  29, 250, 137, 131,
+   38, 225, 218, 200,  91,  22, 187,  78, 243, 116,  69, 231, 115,  10, 165, 199,
+   59,  18, 147,  77, 173, 245, 189, 135,  49, 162, 148, 121, 175,  98, 252,  41,
+  129, 222, 224,  88,  72,  58, 182, 147,  54, 237, 214, 205, 158, 213, 168,  95,
+   62, 184,  16, 114, 140,  37, 165, 219,  59,  27,  83,  75, 125, 247,  97, 134,
+  168,  98, 254, 169, 128, 126, 224,  32,  72,  24,  54, 138, 150, 231,  46, 202,
+  156,  87,  41, 254, 158, 192, 104,  80,  46, 188,  28, 113, 201, 228,  86, 203,
+  126, 215,  96,  94, 168,  56, 126, 146, 160, 109, 184,  45, 178, 157, 181, 169,
+  183,  62, 246, 144,  70, 236,  50, 205, 213, 149, 159,  47,  40,  28,  30, 137,
+  200, 102, 214, 170, 222, 255,  24,  64,  10, 176,   7,  52,   2, 151,  65, 174,
+  176, 124, 116,  33, 231,  88,  74, 186, 183,  51,  54, 149, 214, 239,  30, 204,
+    8,  85, 198, 191,  18, 240,  13, 132,   5, 163,  67,  57, 241, 210, 196,  93,
+  147, 121, 173, 226, 253, 137, 129, 166, 224, 122, 200,  35,  22, 153, 206, 234,
+  212,  79,  31, 116,   8,  39,  70, 154, 178, 235,  53, 143,  87,  36,  62, 155,
+   80, 107, 124,  47,  97, 220,  40,  89, 222, 186, 216, 115,  26, 165, 203,  59,
+   23,  83,  78, 189, 244, 113, 135, 100,  98, 171, 105, 191, 110, 240,  44,  68,
+   29, 243,  73, 133, 246, 227,   6, 201, 194, 214, 209, 158, 220, 104,  89, 238,
+  186, 204, 115,  21, 229, 207,  11,  20,   7,  79,  66, 180,  49, 183,  84, 118,
+  191, 102, 240,  42, 196,  31,  19,  72,  13, 246, 133, 134, 227,  34, 201, 217,
+  150, 218, 238, 219,  12,  91,  69, 251, 115,   3, 101, 193, 235,  16,  79,  76,
+   52,  53, 215,  87,  30, 190, 136, 112, 102, 164,  42, 251,  95,   3, 120,   1,
+  226, 128,  73, 160,  54, 248,  22, 194, 142, 209, 164,  92, 123, 121, 227,  98,
+  201, 233, 150, 206, 238, 212,  76,  95, 117, 248,  39,   2, 154, 129, 171,  32,
+  127,  88,  32,  58, 152,  19,  42, 141, 223,  37, 152,  27,  42, 139,  95,  39,
+  120,  26, 162, 139,  57, 167,  82, 250, 189, 131,  49, 161, 212, 120,  95,  98,
+  184,  41, 178, 158, 245, 168,  71,  62, 178, 144, 117, 172,  39,  61, 218, 145,
+  155,  44, 107,  93, 239, 121, 140,  34, 229, 217, 139,  26, 231,  75,  10, 183,
+   71,  54, 178, 150, 245, 174, 199,  60,  82, 145, 253, 172,  65, 189, 240, 113,
+  132,  36,  99,  91, 105, 251, 110, 195, 108,  81, 237, 252,  77, 129, 245, 160,
+   71,  56,  50, 146, 149, 173, 175,  61, 188,  17, 177, 204, 116,  85, 231, 127,
+   10, 160,   7,  56,   2, 146, 129, 173, 160, 125, 184,  33, 178, 152, 117, 170,
+  167,  63,  58, 144,  19,  44,  13, 221, 197, 153, 147,  42, 237, 223,  13, 152,
+    5, 170, 131,  63,  33, 208,  24,  92,  10, 185, 199,  50, 210, 149, 157, 175,
+   41, 188,  30, 241, 200,  68,  86, 179, 126, 245, 224,  71,   8,  50, 134, 149,
+  162, 239,  57, 140,  18, 229, 205, 139,  21, 167,  79,  58, 180,  19,  55,  77,
+  214, 181, 158, 247,  40,  70, 158, 178, 232, 117, 142, 167,  36, 122, 155,  99,
+   43, 105, 223, 110, 216,  44,  90, 157, 251,  41, 131,  94, 225, 248,  72,  66,
+  182, 177, 182, 244, 118, 199, 102, 210, 170, 221, 191,  25, 176,  10, 244,   7,
+    7,  66, 130, 177, 161, 180, 120, 119,  98, 166, 169, 186, 254, 243,   0,  69,
+  192,  51,  16,  21, 204,  15,  21, 196,  15,  19,  68,  13, 243,  69, 133, 243,
+   35,   5, 217, 195,  26, 209, 203,  28,  87,  73, 254, 182, 192, 118, 208,  38,
+  220,  26, 217, 203,  26, 215,  75,  30, 183,  72, 118, 182, 166, 246, 250, 198,
+  195,  18, 209, 205, 156,  85, 169, 255,  62, 192,  16,  80,  12,  60,   5, 209,
+  195,  28,  81, 201, 252,  86, 193, 254, 208,  64,  92,  48,  57, 212,  18, 223,
+   77, 152,  53, 170, 151,  63,  46, 144,  28, 108,   9, 237, 198, 205, 146, 213,
+  173, 159,  61, 168,  17, 190, 140, 112, 101, 228,  43,  11,  95,  71, 120,  50,
+  162, 149, 185, 175,  50, 252,  21, 129, 207,  32,  84,  24,  63,  74, 144,  55,
+   44,  22, 157, 206, 233, 148,  78, 239, 116,  76,  39, 117, 218, 167,  27,  58,
+  139,  83,  39, 125, 218, 161, 155,  56, 107,  82, 175, 125, 188,  33, 177, 216,
+  116,  90, 167, 123,  58, 163,  83,  57, 253, 210, 193, 157, 144, 105, 172,  46,
+  253, 220,  65, 153, 240, 106, 196,  47,  19,  92,  13, 249, 197, 130, 211,  33,
+  157, 216, 105, 154, 174, 235,  60,  79,  81, 244,  60,  71,  81, 242, 188,  69,
+  177, 243,  52,  69, 215, 115,  30, 165, 200, 123,  22, 163,  78, 249, 244,  66,
+  199, 113, 146, 164, 109, 187, 109, 179, 109, 181, 237, 183,  13, 182, 133, 182,
   227,  54, 201, 214, 214, 222, 222, 216,  88,  90, 186, 187,  51,  51, 255,  63 )
 
 random_mask_vec8 = numpy.array(random_mask_tuple, numpy.uint8)
-
diff --git a/gr-digital/python/digital/ofdm_txrx.py b/gr-digital/python/digital/ofdm_txrx.py
index b04c42cbfa..1c3bcc34e4 100644
--- a/gr-digital/python/digital/ofdm_txrx.py
+++ b/gr-digital/python/digital/ofdm_txrx.py
@@ -1,23 +1,23 @@
 #
 # Copyright 2013 Free Software Foundation, Inc.
-# 
+#
 # This file is part of GNU Radio
-# 
+#
 # GNU Radio is free software; you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation; either version 3, or (at your option)
 # any later version.
-# 
+#
 # GNU Radio is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
-# 
+#
 # You should have received a copy of the GNU General Public License
 # along with GNU Radio; see the file COPYING.  If not, write to
 # the Free Software Foundation, Inc., 51 Franklin Street,
 # Boston, MA 02110-1301, USA.
-# 
+#
 """
 OFDM Transmitter / Receiver hier blocks.
 
@@ -116,7 +116,7 @@ def _get_constellation(bps):
         exit(1)
 
 class ofdm_tx(gr.hier_block2):
-    """ Hierarchical block for OFDM modulation.
+    """Hierarchical block for OFDM modulation.
 
     The input is a byte stream (unsigned char) and the
     output is the complex modulated signal at baseband.
@@ -130,13 +130,16 @@ class ofdm_tx(gr.hier_block2):
     pilot_symbols: The pilot symbols.
     bps_header: Bits per symbol (header).
     bps_payload: Bits per symbol (payload).
-    sync_word1: The first sync preamble symbol. This has to be with zeros on alternating carriers.
-                Used for fine and coarse frequency offset and timing estimation.
-    sync_word2: The second sync preamble symbol. This has to be filled entirely. Also used for
-                coarse frequency offset and channel estimation.
+    sync_word1: The first sync preamble symbol. This has to be with
+    |           zeros on alternating carriers. Used for fine and
+    |           coarse frequency offset and timing estimation.
+    sync_word2: The second sync preamble symbol. This has to be filled
+    |           entirely. Also used for coarse frequency offset and
+    |           channel estimation.
     rolloff: The rolloff length in samples. Must be smaller than the CP.
     debug_log: Write output into log files (Warning: creates lots of data!)
     scramble_bits: Activates the scramblers (set this to True unless debugging)
+
     """
     def __init__(self, fft_len=_def_fft_len, cp_len=_def_cp_len,
                  packet_length_tag_key=_def_packet_length_tag_key,
@@ -259,7 +262,7 @@ class ofdm_tx(gr.hier_block2):
 
 
 class ofdm_rx(gr.hier_block2):
-    """ Hierarchical block for OFDM demodulation.
+    """Hierarchical block for OFDM demodulation.
 
     The input is a complex baseband signal (e.g. from a UHD source).
     The detected packets are output as a stream of packed bits on the output.
@@ -274,10 +277,12 @@ class ofdm_rx(gr.hier_block2):
     pilot_symbols: The pilot symbols.
     bps_header: Bits per symbol (header).
     bps_payload: Bits per symbol (payload).
-    sync_word1: The first sync preamble symbol. This has to be with zeros on alternating carriers.
-                Used for fine and coarse frequency offset and timing estimation.
-    sync_word2: The second sync preamble symbol. This has to be filled entirely. Also used for
-                coarse frequency offset and channel estimation.
+    sync_word1: The first sync preamble symbol. This has to be with
+    |           zeros on alternating carriers. Used for fine and
+    |           coarse frequency offset and timing estimation.
+    sync_word2: The second sync preamble symbol. This has to be filled
+    |           entirely. Also used for coarse frequency offset and
+    |           channel estimation.
     """
     def __init__(self, fft_len=_def_fft_len, cp_len=_def_cp_len,
                  frame_length_tag_key=_def_frame_length_tag_key,
@@ -371,7 +376,7 @@ class ofdm_rx(gr.hier_block2):
                 occupied_carriers, 1,
                 packet_length_tag_key,
                 frame_length_tag_key,
-                packet_num_tag_key,
+                packet_nu_tag_key,
                 bps_header,
                 bps_payload,
                 scramble_header=scramble_bits
@@ -447,5 +452,3 @@ class ofdm_rx(gr.hier_block2):
             self.connect(payload_demod,      blocks.file_sink(1,                            'post-payload-demod.dat'))
             self.connect(payload_pack,       blocks.file_sink(1,                            'post-payload-pack.dat'))
             self.connect(crc,                blocks.file_sink(1,                            'post-payload-crc.dat'))
-
-
diff --git a/gr-digital/python/digital/psk_constellations.py b/gr-digital/python/digital/psk_constellations.py
index 3f28ca5843..d2db4e848b 100755
--- a/gr-digital/python/digital/psk_constellations.py
+++ b/gr-digital/python/digital/psk_constellations.py
@@ -114,9 +114,9 @@ sd_psk_2_1 = sd_psk_2_0x1
 
 def psk_4_0x0_0_1():
     '''
-    10 | 11
-    -------
-    00 | 01
+    | 10 | 11
+    | -------
+    | 00 | 01
     '''
     const_points = [-1-1j, 1-1j,
                     -1+1j, 1+1j]
@@ -127,9 +127,9 @@ psk_4_0 = psk_4
 
 def psk_4_0x1_0_1():
     '''
-    11 | 10
-    -------
-    01 | 00
+    | 11 | 10
+    | -------
+    | 01 | 00
     '''
     k = 0x1
     pi = [0, 1]
@@ -138,9 +138,9 @@ psk_4_1 = psk_4_0x1_0_1
 
 def psk_4_0x2_0_1():
     '''
-    00 | 01
-    -------
-    10 | 11
+    | 00 | 01
+    | -------
+    | 10 | 11
     '''
     k = 0x2
     pi = [0, 1]
@@ -149,9 +149,9 @@ psk_4_2 = psk_4_0x2_0_1
 
 def psk_4_0x3_0_1():
     '''
-    01 | 00
-    -------
-    11 | 10
+    | 01 | 00
+    | -------
+    | 11 | 10
     '''
     k = 0x3
     pi = [0, 1]
@@ -160,9 +160,9 @@ psk_4_3 = psk_4_0x3_0_1
 
 def psk_4_0x0_1_0():
     '''
-    01 | 11
-    -------
-    00 | 10
+    | 01 | 11
+    | -------
+    | 00 | 10
     '''
     k = 0x0
     pi = [1, 0]
@@ -171,9 +171,9 @@ psk_4_4 = psk_4_0x0_1_0
 
 def psk_4_0x1_1_0():
     '''
-    00 | 10
-    -------
-    01 | 11
+    | 00 | 10
+    | -------
+    | 01 | 11
     '''
     k = 0x1
     pi = [1, 0]
@@ -182,9 +182,9 @@ psk_4_5 = psk_4_0x1_1_0
 
 def psk_4_0x2_1_0():
     '''
-    11 | 01
-    -------
-    10 | 00
+    | 11 | 01
+    | -------
+    | 10 | 00
     '''
     k = 0x2
     pi = [1, 0]
@@ -193,9 +193,9 @@ psk_4_6 = psk_4_0x2_1_0
 
 def psk_4_0x3_1_0():
     '''
-    10 | 00
-    -------
-    11 | 01
+    | 10 | 00
+    | -------
+    | 11 | 01
     '''
     k = 0x3
     pi = [1, 0]
@@ -210,9 +210,9 @@ psk_4_7 = psk_4_0x3_1_0
 
 def sd_psk_4_0x0_0_1(x, Es=1):
     '''
-    10 | 11
-    -------
-    00 | 01
+    | 10 | 11
+    | -------
+    | 00 | 01
     '''
     x_re = x.real
     x_im = x.imag
@@ -223,9 +223,9 @@ sd_psk_4_0 = sd_psk_4
 
 def sd_psk_4_0x1_0_1(x, Es=1):
     '''
-    11 | 10
-    -------
-    01 | 00
+    | 11 | 10
+    | -------
+    | 01 | 00
     '''
     x_re = x.real
     x_im = x.imag
@@ -235,9 +235,9 @@ sd_psk_4_1 = sd_psk_4_0x1_0_1
 
 def sd_psk_4_0x2_0_1(x, Es=1):
     '''
-    00 | 01
-    -------
-    10 | 11
+    | 00 | 01
+    | -------
+    | 10 | 11
     '''
     x_re = x.real
     x_im = x.imag
@@ -247,9 +247,9 @@ sd_psk_4_2 = sd_psk_4_0x2_0_1
 
 def sd_psk_4_0x3_0_1(x, Es=1):
     '''
-    01 | 00
-    -------
-    11 | 10
+    | 01 | 00
+    | -------
+    | 11 | 10
     '''
     x_re = x.real
     x_im = x.imag
@@ -259,9 +259,9 @@ sd_psk_4_3 = sd_psk_4_0x3_0_1
 
 def sd_psk_4_0x0_1_0(x, Es=1):
     '''
-    01 | 11
-    -------
-    00 | 10
+    | 01 | 11
+    | -------
+    | 00 | 10
     '''
     x_re = x.real
     x_im = x.imag
@@ -271,9 +271,9 @@ sd_psk_4_4 = sd_psk_4_0x0_1_0
 
 def sd_psk_4_0x1_1_0(x, Es=1):
     '''
-    00 | 10
-    -------
-    01 | 11
+    | 00 | 10
+    | -------
+    | 01 | 11
     '''
     x_re = x.real
     x_im = x.imag
@@ -284,9 +284,9 @@ sd_psk_4_5 = sd_psk_4_0x1_1_0
 
 def sd_psk_4_0x2_1_0(x, Es=1):
     '''
-    11 | 01
-    -------
-    10 | 00
+    | 11 | 01
+    | -------
+    | 10 | 00
     '''
     x_re = x.real
     x_im = x.imag
@@ -296,9 +296,9 @@ sd_psk_4_6 = sd_psk_4_0x2_1_0
 
 def sd_psk_4_0x3_1_0(x, Es=1):
     '''
-    10 | 00
-    -------
-    11 | 01
+    | 10 | 00
+    | -------
+    | 11 | 01
     '''
     x_re = x.real
     x_im = x.imag
diff --git a/gr-digital/python/digital/qam_constellations.py b/gr-digital/python/digital/qam_constellations.py
index ed86d7e1e3..ab58916384 100755
--- a/gr-digital/python/digital/qam_constellations.py
+++ b/gr-digital/python/digital/qam_constellations.py
@@ -99,13 +99,13 @@ For 16QAM:
 
 def qam_16_0x0_0_1_2_3():
     '''
-    0010  0110 | 1110  1010
-
-    0011  0111 | 1111  1011
-    -----------------------
-    0001  0101 | 1101  1001
-
-    0000  0100 | 1100  1000
+    | 0010  0110 | 1110  1010
+    |
+    | 0011  0111 | 1111  1011
+    | -----------------------
+    | 0001  0101 | 1101  1001
+    |
+    | 0000  0100 | 1100  1000
     '''
     const_points = [-3-3j, -1-3j, 1-3j, 3-3j,
                     -3-1j, -1-1j, 1-1j, 3-1j,
@@ -121,13 +121,13 @@ qam_16_0 = qam_16
 
 def qam_16_0x1_0_1_2_3():
     '''
-    0011  0111 | 1111  1011
-
-    0010  0110 | 1110  1010
-    -----------------------
-    0000  0100 | 1100  1000
-
-    0001  0101 | 1101  1001
+    | 0011  0111 | 1111  1011
+    |
+    | 0010  0110 | 1110  1010
+    | -----------------------
+    | 0000  0100 | 1100  1000
+    |
+    | 0001  0101 | 1101  1001
     '''
     k = 0x1
     pi = [0, 1, 2, 3]
@@ -136,13 +136,13 @@ qam_16_1 = qam_16_0x1_0_1_2_3
 
 def qam_16_0x2_0_1_2_3():
     '''
-    0000  0100 | 1100  1000
-
-    0001  0101 | 1101  1001
-    -----------------------
-    0011  0111 | 1111  1011
-
-    0010  0110 | 1110  1010
+    | 0000  0100 | 1100  1000
+    |
+    | 0001  0101 | 1101  1001
+    | -----------------------
+    | 0011  0111 | 1111  1011
+    |
+    | 0010  0110 | 1110  1010
     '''
     k = 0x2
     pi = [0, 1, 2, 3]
@@ -151,13 +151,13 @@ qam_16_2 = qam_16_0x2_0_1_2_3
 
 def qam_16_0x3_0_1_2_3():
     '''
-    0001  0101 | 1101  1001
-
-    0000  0100 | 1100  1000
-    -----------------------
-    0010  0110 | 1110  1010
-
-    0011  0111 | 1111  1011
+    | 0001  0101 | 1101  1001
+    |
+    | 0000  0100 | 1100  1000
+    | -----------------------
+    | 0010  0110 | 1110  1010
+    |
+    | 0011  0111 | 1111  1011
     '''
     k = 0x3
     pi = [0, 1, 2, 3]
@@ -167,13 +167,13 @@ qam_16_3 = qam_16_0x3_0_1_2_3
 
 def qam_16_0x0_1_0_2_3():
     '''
-    0001  0101 | 1101  1001
-
-    0011  0111 | 1111  1011
-    -----------------------
-    0010  0110 | 1110  1010
-
-    0000  0100 | 1100  1000
+    | 0001  0101 | 1101  1001
+    |
+    | 0011  0111 | 1111  1011
+    | -----------------------
+    | 0010  0110 | 1110  1010
+    |
+    | 0000  0100 | 1100  1000
     '''
     k = 0x0
     pi = [1, 0, 2, 3]
@@ -182,13 +182,13 @@ qam_16_4 = qam_16_0x0_1_0_2_3
 
 def qam_16_0x1_1_0_2_3():
     '''
-    0000  0100 | 1100  1000
-
-    0010  0110 | 1110  1010
-    -----------------------
-    0011  0111 | 1111  1011
-
-    0001  0101 | 1101  1001
+    | 0000  0100 | 1100  1000
+    |
+    | 0010  0110 | 1110  1010
+    | -----------------------
+    | 0011  0111 | 1111  1011
+    |
+    | 0001  0101 | 1101  1001
     '''
     k = 0x1
     pi = [1, 0, 2, 3]
@@ -197,13 +197,13 @@ qam_16_5 = qam_16_0x1_1_0_2_3
 
 def qam_16_0x2_1_0_2_3():
     '''
-    0011  0111 | 1111  1011
-
-    0001  0101 | 1101  1001
-    -----------------------
-    0000  0100 | 1100  1000
-
-    0010  0110 | 1110  1010
+    | 0011  0111 | 1111  1011
+    |
+    | 0001  0101 | 1101  1001
+    | -----------------------
+    | 0000  0100 | 1100  1000
+    |
+    | 0010  0110 | 1110  1010
     '''
     k = 0x2
     pi = [1, 0, 2, 3]
@@ -212,13 +212,13 @@ qam_16_6 = qam_16_0x2_1_0_2_3
 
 def qam_16_0x3_1_0_2_3():
     '''
-    0010  0110 | 1110  1010
-
-    0000  0100 | 1100  1000
-    -----------------------
-    0001  0101 | 1101  1001
-
-    0011  0111 | 1111  1011
+    | 0010  0110 | 1110  1010
+    |
+    | 0000  0100 | 1100  1000
+    | -----------------------
+    | 0001  0101 | 1101  1001
+    |
+    | 0011  0111 | 1111  1011
     '''
     k = 0x3
     pi = [1, 0, 2, 3]
@@ -230,15 +230,15 @@ qam_16_7 = qam_16_0x3_1_0_2_3
 
 def sd_qam_16_0x0_0_1_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0010  0110 | 1110  1010
-
-    0011  0111 | 1111  1011
-    -----------------------
-    0001  0101 | 1101  1001
-
-    0000  0100 | 1100  1000
+    | Soft bit LUT generator for constellation:
+    |
+    | 0010  0110 | 1110  1010
+    |
+    | 0011  0111 | 1111  1011
+    | -----------------------
+    | 0001  0101 | 1101  1001
+    |
+    | 0000  0100 | 1100  1000
     '''
 
     dist = Es*numpy.sqrt(2)
@@ -276,15 +276,15 @@ sd_qam_16_0 = sd_qam_16
 
 def sd_qam_16_0x1_0_1_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0011  0111 | 1111  1011
-
-    0010  0110 | 1110  1010
-    -----------------------
-    0000  0100 | 1100  1000
-
-    0001  0101 | 1101  1001
+    | Soft bit LUT generator for constellation:
+    |
+    | 0011  0111 | 1111  1011
+    |
+    | 0010  0110 | 1110  1010
+    | -----------------------
+    | 0000  0100 | 1100  1000
+    |
+    | 0001  0101 | 1101  1001
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
@@ -311,15 +311,15 @@ sd_qam_16_1 = sd_qam_16_0x1_0_1_2_3
 
 def sd_qam_16_0x2_0_1_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0000  0100 | 1100  1000
-
-    0001  0101 | 1101  1001
-    -----------------------
-    0011  0111 | 1111  1011
-
-    0010  0110 | 1110  1010
+    | Soft bit LUT generator for constellation:
+    |
+    | 0000  0100 | 1100  1000
+    |
+    | 0001  0101 | 1101  1001
+    | -----------------------
+    | 0011  0111 | 1111  1011
+    |
+    | 0010  0110 | 1110  1010
     '''
 
     x_re = 3*x.real
@@ -347,15 +347,15 @@ sd_qam_16_2 = sd_qam_16_0x2_0_1_2_3
 
 def sd_qam_16_0x3_0_1_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0001  0101 | 1101  1001
-
-    0000  0100 | 1100  1000
-    -----------------------
-    0010  0110 | 1110  1010
-
-    0011  0111 | 1111  1011
+    | Soft bit LUT generator for constellation:
+    |
+    | 0001  0101 | 1101  1001
+    |
+    | 0000  0100 | 1100  1000
+    | -----------------------
+    | 0010  0110 | 1110  1010
+    |
+    | 0011  0111 | 1111  1011
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
@@ -382,15 +382,15 @@ sd_qam_16_3 = sd_qam_16_0x3_0_1_2_3
 
 def sd_qam_16_0x0_1_0_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0001  0101 | 1101  1001
-
-    0011  0111 | 1111  1011
-    -----------------------
-    0010  0110 | 1110  1010
-
-    0000  0100 | 1100  1000
+    | Soft bit LUT generator for constellation:
+    |
+    | 0001  0101 | 1101  1001
+    |
+    | 0011  0111 | 1111  1011
+    | -----------------------
+    | 0010  0110 | 1110  1010
+    |
+    | 0000  0100 | 1100  1000
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
@@ -417,15 +417,15 @@ sd_qam_16_4 = sd_qam_16_0x0_1_0_2_3
 
 def sd_qam_16_0x1_1_0_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0000  0100 | 1100  1000
-
-    0010  0110 | 1110  1010
-    -----------------------
-    0011  0111 | 1111  1011
-
-    0001  0101 | 1101  1001
+    | Soft bit LUT generator for constellation:
+    |
+    | 0000  0100 | 1100  1000
+    |
+    | 0010  0110 | 1110  1010
+    | -----------------------
+    | 0011  0111 | 1111  1011
+    |
+    | 0001  0101 | 1101  1001
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
@@ -452,15 +452,15 @@ sd_qam_16_5 = sd_qam_16_0x1_1_0_2_3
 
 def sd_qam_16_0x2_1_0_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0011  0111 | 1111  1011
-
-    0001  0101 | 1101  1001
-    -----------------------
-    0000  0100 | 1100  1000
-
-    0010  0110 | 1110  1010
+    | Soft bit LUT generator for constellation:
+    |
+    | 0011  0111 | 1111  1011
+    |
+    | 0001  0101 | 1101  1001
+    | -----------------------
+    | 0000  0100 | 1100  1000
+    |
+    | 0010  0110 | 1110  1010
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
@@ -487,15 +487,15 @@ sd_qam_16_6 = sd_qam_16_0x2_1_0_2_3
 
 def sd_qam_16_0x3_1_0_2_3(x, Es=1):
     '''
-    Soft bit LUT generator for constellation:
-
-    0010  0110 | 1110  1010
-
-    0000  0100 | 1100  1000
-    -----------------------
-    0001  0101 | 1101  1001
-
-    0011  0111 | 1111  1011
+    | Soft bit LUT generator for constellation:
+    |
+    | 0010  0110 | 1110  1010
+    |
+    | 0000  0100 | 1100  1000
+    | -----------------------
+    | 0001  0101 | 1101  1001
+    |
+    | 0011  0111 | 1111  1011
     '''
     x_re = 3*x.real
     x_im = 3*x.imag
diff --git a/gr-digital/python/digital/soft_dec_lut_gen.py b/gr-digital/python/digital/soft_dec_lut_gen.py
index 5bea27f843..f517277702 100644
--- a/gr-digital/python/digital/soft_dec_lut_gen.py
+++ b/gr-digital/python/digital/soft_dec_lut_gen.py
@@ -23,60 +23,61 @@
 import numpy
 
 def soft_dec_table_generator(soft_dec_gen, prec, Es=1):
-    '''Builds a LUT that is a list of tuples. The tuple represents the
-    soft decisions for the constellation/bit mapping at any given
-    point in the complex space, (x,y).
-
-    The table is built to a precision specified by the 'prec'
-    argument. There are (2x2)^prec samples in the sample space, so we
-    get the precision of 2^prec samples in both the real and imaginary
-    axes.
-
-    The space is represented where index 0 is the bottom left corner
-    and the maximum index is the upper left. The table index for a
-    surface space with 4 bits of precision looks like the following:
-
-    240 241 242 243 244 245 246 247 | 248 249 250 251 252 253 254 255
-    224 225 226 227 228 229 230 231 | 232 233 234 235 236 237 238 239
-    208 209 210 211 212 213 214 215 | 216 217 218 219 220 221 222 223
-    192 193 194 195 196 197 198 199 | 200 201 202 203 204 205 206 207
-    176 177 178 179 180 181 182 183 | 184 185 186 187 188 189 190 191
-    160 161 162 163 164 165 166 167 | 168 169 170 171 172 173 174 175
-    144 145 146 147 148 149 150 151 | 152 153 154 155 156 157 158 159
-    128 129 130 131 132 133 134 135 | 136 137 138 139 140 141 142 143
-    -----------------------------------------------------------------
-    112 113 114 115 116 117 118 119 | 120 121 122 123 124 125 126 127
-     96  97  98  99 100 101 102 103 | 104 105 106 107 108 109 110 111
-     80  81  82  83  84  85  86  87 |  88  89  90  91  92  93  94  95
-     64  65  66  67  68  69  70  71 |  72  73  74  75  76  77  78  79
-     48  49  50  51  52  53  54  55 |  56  57  58  59  60  61  62  63
-     32  33  34  35  36  37  38  39 |  40  41  42  43  44  45  46  47
-     16  17  18  19  20  21  22  23 |  24  25  26  27  28  29  30  31
-      0   1   2   3   4   5   6   7 |   8   9  10  11  12  13  14  15
-
-    We then calculate coordinates from -1 to 1 with 2^prec points for
-    both the x and y axes. We then sample starting at (-1, -1) and
-    move left to right on the x-axis and then move up a row on the
-    y-axis. For every point in this sampled space, we calculate the
-    soft decisions for the given constellation/mapping. This is done
-    by passing in the function 'soft_dec_gen' as an argument to this
-    function. This takes in the x/y coordinates and outputs the soft
-    decisions. These soft decisions are stored into the list at the
-    index from the above table as a tuple.
-
-    The function 'calc_from_table' takes in a point and reverses this
-    operation. It converts the point from the coordinates (-1,-1) to
-    (1,1) into an index value in the table and returns the tuple of
-    soft decisions at that index.
-
-    Es is the maximum energy per symbol. This is passed to the
-    function to provide the bounds when calling the generator function
-    since they don't know how the constellation was normalized. Using
-    the (maximum) energy per symbol for constellation allows us to
-    provide any scaling of the constellation (normalized to sum to 1,
-    normalized so the outside points sit on +/-1, etc.) but still
-    calculate the soft decisions as we would given the full
-    constellation.
+    '''
+    | Builds a LUT that is a list of tuples. The tuple represents the
+    | soft decisions for the constellation/bit mapping at any given
+    | point in the complex space, (x,y).
+    |
+    | The table is built to a precision specified by the 'prec'
+    | argument. There are (2x2)^prec samples in the sample space, so we
+    | get the precision of 2^prec samples in both the real and imaginary
+    | axes.
+    |
+    | The space is represented where index 0 is the bottom left corner
+    | and the maximum index is the upper left. The table index for a
+    | surface space with 4 bits of precision looks like the following:
+    |
+    | 240 241 242 243 244 245 246 247 | 248 249 250 251 252 253 254 255
+    | 224 225 226 227 228 229 230 231 | 232 233 234 235 236 237 238 239
+    | 208 209 210 211 212 213 214 215 | 216 217 218 219 220 221 222 223
+    | 192 193 194 195 196 197 198 199 | 200 201 202 203 204 205 206 207
+    | 176 177 178 179 180 181 182 183 | 184 185 186 187 188 189 190 191
+    | 160 161 162 163 164 165 166 167 | 168 169 170 171 172 173 174 175
+    | 144 145 146 147 148 149 150 151 | 152 153 154 155 156 157 158 159
+    | 128 129 130 131 132 133 134 135 | 136 137 138 139 140 141 142 143
+    | -----------------------------------------------------------------
+    | 112 113 114 115 116 117 118 119 | 120 121 122 123 124 125 126 127
+    |  96  97  98  99 100 101 102 103 | 104 105 106 107 108 109 110 111
+    |  80  81  82  83  84  85  86  87 |  88  89  90  91  92  93  94  95
+    |  64  65  66  67  68  69  70  71 |  72  73  74  75  76  77  78  79
+    |  48  49  50  51  52  53  54  55 |  56  57  58  59  60  61  62  63
+    |  32  33  34  35  36  37  38  39 |  40  41  42  43  44  45  46  47
+    |  16  17  18  19  20  21  22  23 |  24  25  26  27  28  29  30  31
+    |   0   1   2   3   4   5   6   7 |   8   9  10  11  12  13  14  15
+    |
+    | We then calculate coordinates from -1 to 1 with 2^prec points for
+    | both the x and y axes. We then sample starting at (-1, -1) and
+    | move left to right on the x-axis and then move up a row on the
+    | y-axis. For every point in this sampled space, we calculate the
+    | soft decisions for the given constellation/mapping. This is done
+    | by passing in the function 'soft_dec_gen' as an argument to this
+    | function. This takes in the x/y coordinates and outputs the soft
+    | decisions. These soft decisions are stored into the list at the
+    | index from the above table as a tuple.
+    |
+    | The function 'calc_from_table' takes in a point and reverses this
+    | operation. It converts the point from the coordinates (-1,-1) to
+    | (1,1) into an index value in the table and returns the tuple of
+    | soft decisions at that index.
+    |
+    | Es is the maximum energy per symbol. This is passed to the
+    | function to provide the bounds when calling the generator function
+    | since they don't know how the constellation was normalized. Using
+    | the (maximum) energy per symbol for constellation allows us to
+    | provide any scaling of the constellation (normalized to sum to 1,
+    | normalized so the outside points sit on +/-1, etc.) but still
+    | calculate the soft decisions as we would given the full
+    | constellation.
 
     '''
 
diff --git a/gr-fec/examples/tpc_ber_curve_gen.py b/gr-fec/examples/tpc_ber_curve_gen.py
new file mode 100755
index 0000000000..004f9f8988
--- /dev/null
+++ b/gr-fec/examples/tpc_ber_curve_gen.py
@@ -0,0 +1,457 @@
+#!/usr/bin/env python2
+##################################################
+# GNU Radio Python Flow Graph
+# Title: Tpc Ber Curve Gen
+# Generated: Thu Jul 23 09:27:33 2015
+##################################################
+
+if __name__ == '__main__':
+    import ctypes
+    import sys
+    if sys.platform.startswith('linux'):
+        try:
+            x11 = ctypes.cdll.LoadLibrary('libX11.so')
+            x11.XInitThreads()
+        except:
+            print "Warning: failed to XInitThreads()"
+
+from PyQt4 import Qt
+from gnuradio import eng_notation
+from gnuradio import fec
+from gnuradio import gr
+from gnuradio import qtgui
+from gnuradio.eng_option import eng_option
+from gnuradio.filter import firdes
+from optparse import OptionParser
+import numpy
+import sip
+import sys
+
+from distutils.version import StrictVersion
+class tpc_ber_curve_gen(gr.top_block, Qt.QWidget):
+
+    def __init__(self):
+        gr.top_block.__init__(self, "Tpc Ber Curve Gen")
+        Qt.QWidget.__init__(self)
+        self.setWindowTitle("Tpc Ber Curve Gen")
+        try:
+             self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc'))
+        except:
+             pass
+        self.top_scroll_layout = Qt.QVBoxLayout()
+        self.setLayout(self.top_scroll_layout)
+        self.top_scroll = Qt.QScrollArea()
+        self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame)
+        self.top_scroll_layout.addWidget(self.top_scroll)
+        self.top_scroll.setWidgetResizable(True)
+        self.top_widget = Qt.QWidget()
+        self.top_scroll.setWidget(self.top_widget)
+        self.top_layout = Qt.QVBoxLayout(self.top_widget)
+        self.top_grid_layout = Qt.QGridLayout()
+        self.top_layout.addLayout(self.top_grid_layout)
+
+        self.settings = Qt.QSettings("GNU Radio", "tpc_ber_curve_gen")
+        self.restoreGeometry(self.settings.value("geometry").toByteArray())
+
+
+        ##################################################
+        # Variables
+        ##################################################
+        self.esno_0 = esno_0 = numpy.arange(0, 8, .5) 
+        self.samp_rate_0 = samp_rate_0 = 35000000
+        self.rate = rate = 2
+        self.polys = polys = [79, 109]
+        self.k = k = 7
+        self.framebits = framebits = 4096
+        
+        self.enc_tpc_4 = enc_tpc_4 = map( (lambda b: map( ( lambda a: fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.enc_tpc_3 = enc_tpc_3 = map( (lambda b: map( ( lambda a: fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.enc_tpc_2 = enc_tpc_2 = map( (lambda b: map( ( lambda a: fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.enc_tpc_1 = enc_tpc_1 = map( (lambda b: map( ( lambda a: fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.enc_tpc_0 = enc_tpc_0 = map( (lambda b: map( ( lambda a: fec.tpc_encoder_make(([3]), ([43]), 26, 6, 9, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.dec_tpc_4 = dec_tpc_4 = map( (lambda b: map( ( lambda a: fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 4)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.dec_tpc_3 = dec_tpc_3 = map( (lambda b: map( ( lambda a: fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 3)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.dec_tpc_2 = dec_tpc_2 = map( (lambda b: map( ( lambda a: fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 2)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.dec_tpc_1 = dec_tpc_1 = map( (lambda b: map( ( lambda a: fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 1)), range(0,1) ) ), range(0,len(esno_0))); 
+        
+        self.dec_tpc_0 = dec_tpc_0 = map( (lambda b: map( ( lambda a: fec.tpc_decoder_make(([3]), ([43]), 26, 6, 9, 3, 6, 0)), range(0,1) ) ), range(0,len(esno_0))); 
+
+        ##################################################
+        # Blocks
+        ##################################################
+        self.qtgui_bercurve_sink_0 =   qtgui.ber_sink_b(
+            esno_0, #range of esnos
+            5, #number of curves
+            1000, #ensure at least
+            -10, #cutoff
+            [], #indiv. curve names
+          )
+        self.qtgui_bercurve_sink_0.set_update_time(0.10)
+        self.qtgui_bercurve_sink_0.set_y_axis(-10, 0)
+        self.qtgui_bercurve_sink_0.set_x_axis(esno_0[0], esno_0[-1])
+        
+        labels = ["Linear LOG-MAP", "MAX LOG-MAP", "Constant LOG-MAP", "LOG-MAP (LUT)", "LOG-MAP (C Correction)",
+                  "", "", "", "", ""]
+        widths = [2, 2, 2, 2, 2,
+                  1, 1, 1, 1, 1]
+        colors = ["blue", "red", "magenta", "dark red", "Dark Blue",
+                  "red", "red", "red", "red", "red"]
+        styles = [1, 2, 5, 5, 4,
+                  0, 0, 0, 0, 0]
+        markers = [0, 1, 0, 0, 0,
+                   0, 0, 0, 0, 0]
+        alphas = [1, 1, 1, 1.0, 1.0,
+                  1.0, 1.0, 1.0, 1.0, 1.0]
+        for i in xrange(5):
+            if len(labels[i]) == 0:
+                self.qtgui_bercurve_sink_0.set_line_label(i, "Data {0}".format(i))
+            else:
+                self.qtgui_bercurve_sink_0.set_line_label(i, labels[i])
+            self.qtgui_bercurve_sink_0.set_line_width(i, widths[i])
+            self.qtgui_bercurve_sink_0.set_line_color(i, colors[i])
+            self.qtgui_bercurve_sink_0.set_line_style(i, styles[i])
+            self.qtgui_bercurve_sink_0.set_line_marker(i, markers[i])
+            self.qtgui_bercurve_sink_0.set_line_alpha(i, alphas[i])
+        
+        self._qtgui_bercurve_sink_0_win = sip.wrapinstance(self.qtgui_bercurve_sink_0.pyqwidget(), Qt.QWidget)
+        self.top_layout.addWidget(self._qtgui_bercurve_sink_0_win)
+        self.fec_bercurve_generator_0_1_0 = fec.bercurve_generator(
+        	enc_tpc_4, #size
+        	dec_tpc_4, #name
+        	esno_0, #range of esnos
+        	samp_rate_0, #throttle
+                "capillary", #threading mode
+        	'11', #puncture pattern
+                -100 # noise gen. seed
+        )
+          
+        self.fec_bercurve_generator_0_1 = fec.bercurve_generator(
+        	enc_tpc_3, #size
+        	dec_tpc_3, #name
+        	esno_0, #range of esnos
+        	samp_rate_0, #throttle
+                "capillary", #threading mode
+        	'11', #puncture pattern
+                -100 # noise gen. seed
+        )
+          
+        self.fec_bercurve_generator_0_0_0 = fec.bercurve_generator(
+        	enc_tpc_0, #size
+        	dec_tpc_0, #name
+        	esno_0, #range of esnos
+        	samp_rate_0, #throttle
+                "capillary", #threading mode
+        	'11', #puncture pattern
+                -100 # noise gen. seed
+        )
+          
+        self.fec_bercurve_generator_0_0 = fec.bercurve_generator(
+        	enc_tpc_1, #size
+        	dec_tpc_1, #name
+        	esno_0, #range of esnos
+        	samp_rate_0, #throttle
+                "capillary", #threading mode
+        	'11', #puncture pattern
+                -100 # noise gen. seed
+        )
+          
+        self.fec_bercurve_generator_0 = fec.bercurve_generator(
+        	enc_tpc_2, #size
+        	dec_tpc_2, #name
+        	esno_0, #range of esnos
+        	samp_rate_0, #throttle
+                "capillary", #threading mode
+        	'11', #puncture pattern
+                -100 # noise gen. seed
+        )
+          
+
+        ##################################################
+        # Connections
+        ##################################################
+        self.connect((self.fec_bercurve_generator_0, 0), (self.qtgui_bercurve_sink_0, 64))    
+        self.connect((self.fec_bercurve_generator_0, 1), (self.qtgui_bercurve_sink_0, 65))    
+        self.connect((self.fec_bercurve_generator_0, 2), (self.qtgui_bercurve_sink_0, 66))    
+        self.connect((self.fec_bercurve_generator_0, 3), (self.qtgui_bercurve_sink_0, 67))    
+        self.connect((self.fec_bercurve_generator_0, 4), (self.qtgui_bercurve_sink_0, 68))    
+        self.connect((self.fec_bercurve_generator_0, 5), (self.qtgui_bercurve_sink_0, 69))    
+        self.connect((self.fec_bercurve_generator_0, 6), (self.qtgui_bercurve_sink_0, 70))    
+        self.connect((self.fec_bercurve_generator_0, 7), (self.qtgui_bercurve_sink_0, 71))    
+        self.connect((self.fec_bercurve_generator_0, 8), (self.qtgui_bercurve_sink_0, 72))    
+        self.connect((self.fec_bercurve_generator_0, 9), (self.qtgui_bercurve_sink_0, 73))    
+        self.connect((self.fec_bercurve_generator_0, 10), (self.qtgui_bercurve_sink_0, 74))    
+        self.connect((self.fec_bercurve_generator_0, 11), (self.qtgui_bercurve_sink_0, 75))    
+        self.connect((self.fec_bercurve_generator_0, 12), (self.qtgui_bercurve_sink_0, 76))    
+        self.connect((self.fec_bercurve_generator_0, 13), (self.qtgui_bercurve_sink_0, 77))    
+        self.connect((self.fec_bercurve_generator_0, 14), (self.qtgui_bercurve_sink_0, 78))    
+        self.connect((self.fec_bercurve_generator_0, 15), (self.qtgui_bercurve_sink_0, 79))    
+        self.connect((self.fec_bercurve_generator_0, 16), (self.qtgui_bercurve_sink_0, 80))    
+        self.connect((self.fec_bercurve_generator_0, 17), (self.qtgui_bercurve_sink_0, 81))    
+        self.connect((self.fec_bercurve_generator_0, 18), (self.qtgui_bercurve_sink_0, 82))    
+        self.connect((self.fec_bercurve_generator_0, 19), (self.qtgui_bercurve_sink_0, 83))    
+        self.connect((self.fec_bercurve_generator_0, 20), (self.qtgui_bercurve_sink_0, 84))    
+        self.connect((self.fec_bercurve_generator_0, 21), (self.qtgui_bercurve_sink_0, 85))    
+        self.connect((self.fec_bercurve_generator_0, 22), (self.qtgui_bercurve_sink_0, 86))    
+        self.connect((self.fec_bercurve_generator_0, 23), (self.qtgui_bercurve_sink_0, 87))    
+        self.connect((self.fec_bercurve_generator_0, 24), (self.qtgui_bercurve_sink_0, 88))    
+        self.connect((self.fec_bercurve_generator_0, 25), (self.qtgui_bercurve_sink_0, 89))    
+        self.connect((self.fec_bercurve_generator_0, 26), (self.qtgui_bercurve_sink_0, 90))    
+        self.connect((self.fec_bercurve_generator_0, 27), (self.qtgui_bercurve_sink_0, 91))    
+        self.connect((self.fec_bercurve_generator_0, 28), (self.qtgui_bercurve_sink_0, 92))    
+        self.connect((self.fec_bercurve_generator_0, 29), (self.qtgui_bercurve_sink_0, 93))    
+        self.connect((self.fec_bercurve_generator_0, 30), (self.qtgui_bercurve_sink_0, 94))    
+        self.connect((self.fec_bercurve_generator_0, 31), (self.qtgui_bercurve_sink_0, 95))    
+        self.connect((self.fec_bercurve_generator_0_0, 0), (self.qtgui_bercurve_sink_0, 32))    
+        self.connect((self.fec_bercurve_generator_0_0, 1), (self.qtgui_bercurve_sink_0, 33))    
+        self.connect((self.fec_bercurve_generator_0_0, 2), (self.qtgui_bercurve_sink_0, 34))    
+        self.connect((self.fec_bercurve_generator_0_0, 3), (self.qtgui_bercurve_sink_0, 35))    
+        self.connect((self.fec_bercurve_generator_0_0, 4), (self.qtgui_bercurve_sink_0, 36))    
+        self.connect((self.fec_bercurve_generator_0_0, 5), (self.qtgui_bercurve_sink_0, 37))    
+        self.connect((self.fec_bercurve_generator_0_0, 6), (self.qtgui_bercurve_sink_0, 38))    
+        self.connect((self.fec_bercurve_generator_0_0, 7), (self.qtgui_bercurve_sink_0, 39))    
+        self.connect((self.fec_bercurve_generator_0_0, 8), (self.qtgui_bercurve_sink_0, 40))    
+        self.connect((self.fec_bercurve_generator_0_0, 9), (self.qtgui_bercurve_sink_0, 41))    
+        self.connect((self.fec_bercurve_generator_0_0, 10), (self.qtgui_bercurve_sink_0, 42))    
+        self.connect((self.fec_bercurve_generator_0_0, 11), (self.qtgui_bercurve_sink_0, 43))    
+        self.connect((self.fec_bercurve_generator_0_0, 12), (self.qtgui_bercurve_sink_0, 44))    
+        self.connect((self.fec_bercurve_generator_0_0, 13), (self.qtgui_bercurve_sink_0, 45))    
+        self.connect((self.fec_bercurve_generator_0_0, 14), (self.qtgui_bercurve_sink_0, 46))    
+        self.connect((self.fec_bercurve_generator_0_0, 15), (self.qtgui_bercurve_sink_0, 47))    
+        self.connect((self.fec_bercurve_generator_0_0, 16), (self.qtgui_bercurve_sink_0, 48))    
+        self.connect((self.fec_bercurve_generator_0_0, 17), (self.qtgui_bercurve_sink_0, 49))    
+        self.connect((self.fec_bercurve_generator_0_0, 18), (self.qtgui_bercurve_sink_0, 50))    
+        self.connect((self.fec_bercurve_generator_0_0, 19), (self.qtgui_bercurve_sink_0, 51))    
+        self.connect((self.fec_bercurve_generator_0_0, 20), (self.qtgui_bercurve_sink_0, 52))    
+        self.connect((self.fec_bercurve_generator_0_0, 21), (self.qtgui_bercurve_sink_0, 53))    
+        self.connect((self.fec_bercurve_generator_0_0, 22), (self.qtgui_bercurve_sink_0, 54))    
+        self.connect((self.fec_bercurve_generator_0_0, 23), (self.qtgui_bercurve_sink_0, 55))    
+        self.connect((self.fec_bercurve_generator_0_0, 24), (self.qtgui_bercurve_sink_0, 56))    
+        self.connect((self.fec_bercurve_generator_0_0, 25), (self.qtgui_bercurve_sink_0, 57))    
+        self.connect((self.fec_bercurve_generator_0_0, 26), (self.qtgui_bercurve_sink_0, 58))    
+        self.connect((self.fec_bercurve_generator_0_0, 27), (self.qtgui_bercurve_sink_0, 59))    
+        self.connect((self.fec_bercurve_generator_0_0, 28), (self.qtgui_bercurve_sink_0, 60))    
+        self.connect((self.fec_bercurve_generator_0_0, 29), (self.qtgui_bercurve_sink_0, 61))    
+        self.connect((self.fec_bercurve_generator_0_0, 30), (self.qtgui_bercurve_sink_0, 62))    
+        self.connect((self.fec_bercurve_generator_0_0, 31), (self.qtgui_bercurve_sink_0, 63))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 0), (self.qtgui_bercurve_sink_0, 0))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 1), (self.qtgui_bercurve_sink_0, 1))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 2), (self.qtgui_bercurve_sink_0, 2))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 3), (self.qtgui_bercurve_sink_0, 3))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 4), (self.qtgui_bercurve_sink_0, 4))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 5), (self.qtgui_bercurve_sink_0, 5))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 6), (self.qtgui_bercurve_sink_0, 6))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 7), (self.qtgui_bercurve_sink_0, 7))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 8), (self.qtgui_bercurve_sink_0, 8))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 9), (self.qtgui_bercurve_sink_0, 9))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 10), (self.qtgui_bercurve_sink_0, 10))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 11), (self.qtgui_bercurve_sink_0, 11))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 12), (self.qtgui_bercurve_sink_0, 12))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 13), (self.qtgui_bercurve_sink_0, 13))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 14), (self.qtgui_bercurve_sink_0, 14))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 15), (self.qtgui_bercurve_sink_0, 15))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 16), (self.qtgui_bercurve_sink_0, 16))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 17), (self.qtgui_bercurve_sink_0, 17))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 18), (self.qtgui_bercurve_sink_0, 18))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 19), (self.qtgui_bercurve_sink_0, 19))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 20), (self.qtgui_bercurve_sink_0, 20))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 21), (self.qtgui_bercurve_sink_0, 21))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 22), (self.qtgui_bercurve_sink_0, 22))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 23), (self.qtgui_bercurve_sink_0, 23))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 24), (self.qtgui_bercurve_sink_0, 24))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 25), (self.qtgui_bercurve_sink_0, 25))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 26), (self.qtgui_bercurve_sink_0, 26))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 27), (self.qtgui_bercurve_sink_0, 27))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 28), (self.qtgui_bercurve_sink_0, 28))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 29), (self.qtgui_bercurve_sink_0, 29))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 30), (self.qtgui_bercurve_sink_0, 30))    
+        self.connect((self.fec_bercurve_generator_0_0_0, 31), (self.qtgui_bercurve_sink_0, 31))    
+        self.connect((self.fec_bercurve_generator_0_1, 0), (self.qtgui_bercurve_sink_0, 96))    
+        self.connect((self.fec_bercurve_generator_0_1, 1), (self.qtgui_bercurve_sink_0, 97))    
+        self.connect((self.fec_bercurve_generator_0_1, 2), (self.qtgui_bercurve_sink_0, 98))    
+        self.connect((self.fec_bercurve_generator_0_1, 3), (self.qtgui_bercurve_sink_0, 99))    
+        self.connect((self.fec_bercurve_generator_0_1, 4), (self.qtgui_bercurve_sink_0, 100))    
+        self.connect((self.fec_bercurve_generator_0_1, 5), (self.qtgui_bercurve_sink_0, 101))    
+        self.connect((self.fec_bercurve_generator_0_1, 6), (self.qtgui_bercurve_sink_0, 102))    
+        self.connect((self.fec_bercurve_generator_0_1, 7), (self.qtgui_bercurve_sink_0, 103))    
+        self.connect((self.fec_bercurve_generator_0_1, 8), (self.qtgui_bercurve_sink_0, 104))    
+        self.connect((self.fec_bercurve_generator_0_1, 9), (self.qtgui_bercurve_sink_0, 105))    
+        self.connect((self.fec_bercurve_generator_0_1, 10), (self.qtgui_bercurve_sink_0, 106))    
+        self.connect((self.fec_bercurve_generator_0_1, 11), (self.qtgui_bercurve_sink_0, 107))    
+        self.connect((self.fec_bercurve_generator_0_1, 12), (self.qtgui_bercurve_sink_0, 108))    
+        self.connect((self.fec_bercurve_generator_0_1, 13), (self.qtgui_bercurve_sink_0, 109))    
+        self.connect((self.fec_bercurve_generator_0_1, 14), (self.qtgui_bercurve_sink_0, 110))    
+        self.connect((self.fec_bercurve_generator_0_1, 15), (self.qtgui_bercurve_sink_0, 111))    
+        self.connect((self.fec_bercurve_generator_0_1, 16), (self.qtgui_bercurve_sink_0, 112))    
+        self.connect((self.fec_bercurve_generator_0_1, 17), (self.qtgui_bercurve_sink_0, 113))    
+        self.connect((self.fec_bercurve_generator_0_1, 18), (self.qtgui_bercurve_sink_0, 114))    
+        self.connect((self.fec_bercurve_generator_0_1, 19), (self.qtgui_bercurve_sink_0, 115))    
+        self.connect((self.fec_bercurve_generator_0_1, 20), (self.qtgui_bercurve_sink_0, 116))    
+        self.connect((self.fec_bercurve_generator_0_1, 21), (self.qtgui_bercurve_sink_0, 117))    
+        self.connect((self.fec_bercurve_generator_0_1, 22), (self.qtgui_bercurve_sink_0, 118))    
+        self.connect((self.fec_bercurve_generator_0_1, 23), (self.qtgui_bercurve_sink_0, 119))    
+        self.connect((self.fec_bercurve_generator_0_1, 24), (self.qtgui_bercurve_sink_0, 120))    
+        self.connect((self.fec_bercurve_generator_0_1, 25), (self.qtgui_bercurve_sink_0, 121))    
+        self.connect((self.fec_bercurve_generator_0_1, 26), (self.qtgui_bercurve_sink_0, 122))    
+        self.connect((self.fec_bercurve_generator_0_1, 27), (self.qtgui_bercurve_sink_0, 123))    
+        self.connect((self.fec_bercurve_generator_0_1, 28), (self.qtgui_bercurve_sink_0, 124))    
+        self.connect((self.fec_bercurve_generator_0_1, 29), (self.qtgui_bercurve_sink_0, 125))    
+        self.connect((self.fec_bercurve_generator_0_1, 30), (self.qtgui_bercurve_sink_0, 126))    
+        self.connect((self.fec_bercurve_generator_0_1, 31), (self.qtgui_bercurve_sink_0, 127))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 0), (self.qtgui_bercurve_sink_0, 128))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 1), (self.qtgui_bercurve_sink_0, 129))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 2), (self.qtgui_bercurve_sink_0, 130))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 3), (self.qtgui_bercurve_sink_0, 131))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 4), (self.qtgui_bercurve_sink_0, 132))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 5), (self.qtgui_bercurve_sink_0, 133))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 6), (self.qtgui_bercurve_sink_0, 134))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 7), (self.qtgui_bercurve_sink_0, 135))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 8), (self.qtgui_bercurve_sink_0, 136))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 9), (self.qtgui_bercurve_sink_0, 137))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 10), (self.qtgui_bercurve_sink_0, 138))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 11), (self.qtgui_bercurve_sink_0, 139))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 12), (self.qtgui_bercurve_sink_0, 140))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 13), (self.qtgui_bercurve_sink_0, 141))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 14), (self.qtgui_bercurve_sink_0, 142))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 15), (self.qtgui_bercurve_sink_0, 143))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 16), (self.qtgui_bercurve_sink_0, 144))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 17), (self.qtgui_bercurve_sink_0, 145))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 18), (self.qtgui_bercurve_sink_0, 146))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 19), (self.qtgui_bercurve_sink_0, 147))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 20), (self.qtgui_bercurve_sink_0, 148))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 21), (self.qtgui_bercurve_sink_0, 149))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 22), (self.qtgui_bercurve_sink_0, 150))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 23), (self.qtgui_bercurve_sink_0, 151))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 24), (self.qtgui_bercurve_sink_0, 152))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 25), (self.qtgui_bercurve_sink_0, 153))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 26), (self.qtgui_bercurve_sink_0, 154))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 27), (self.qtgui_bercurve_sink_0, 155))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 28), (self.qtgui_bercurve_sink_0, 156))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 29), (self.qtgui_bercurve_sink_0, 157))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 30), (self.qtgui_bercurve_sink_0, 158))    
+        self.connect((self.fec_bercurve_generator_0_1_0, 31), (self.qtgui_bercurve_sink_0, 159))    
+
+    def closeEvent(self, event):
+        self.settings = Qt.QSettings("GNU Radio", "tpc_ber_curve_gen")
+        self.settings.setValue("geometry", self.saveGeometry())
+        event.accept()
+
+    def get_esno_0(self):
+        return self.esno_0
+
+    def set_esno_0(self, esno_0):
+        self.esno_0 = esno_0
+
+    def get_samp_rate_0(self):
+        return self.samp_rate_0
+
+    def set_samp_rate_0(self, samp_rate_0):
+        self.samp_rate_0 = samp_rate_0
+
+    def get_rate(self):
+        return self.rate
+
+    def set_rate(self, rate):
+        self.rate = rate
+
+    def get_polys(self):
+        return self.polys
+
+    def set_polys(self, polys):
+        self.polys = polys
+
+    def get_k(self):
+        return self.k
+
+    def set_k(self, k):
+        self.k = k
+
+    def get_framebits(self):
+        return self.framebits
+
+    def set_framebits(self, framebits):
+        self.framebits = framebits
+
+    def get_enc_tpc_4(self):
+        return self.enc_tpc_4
+
+    def set_enc_tpc_4(self, enc_tpc_4):
+        self.enc_tpc_4 = enc_tpc_4
+
+    def get_enc_tpc_3(self):
+        return self.enc_tpc_3
+
+    def set_enc_tpc_3(self, enc_tpc_3):
+        self.enc_tpc_3 = enc_tpc_3
+
+    def get_enc_tpc_2(self):
+        return self.enc_tpc_2
+
+    def set_enc_tpc_2(self, enc_tpc_2):
+        self.enc_tpc_2 = enc_tpc_2
+
+    def get_enc_tpc_1(self):
+        return self.enc_tpc_1
+
+    def set_enc_tpc_1(self, enc_tpc_1):
+        self.enc_tpc_1 = enc_tpc_1
+
+    def get_enc_tpc_0(self):
+        return self.enc_tpc_0
+
+    def set_enc_tpc_0(self, enc_tpc_0):
+        self.enc_tpc_0 = enc_tpc_0
+
+    def get_dec_tpc_4(self):
+        return self.dec_tpc_4
+
+    def set_dec_tpc_4(self, dec_tpc_4):
+        self.dec_tpc_4 = dec_tpc_4
+
+    def get_dec_tpc_3(self):
+        return self.dec_tpc_3
+
+    def set_dec_tpc_3(self, dec_tpc_3):
+        self.dec_tpc_3 = dec_tpc_3
+
+    def get_dec_tpc_2(self):
+        return self.dec_tpc_2
+
+    def set_dec_tpc_2(self, dec_tpc_2):
+        self.dec_tpc_2 = dec_tpc_2
+
+    def get_dec_tpc_1(self):
+        return self.dec_tpc_1
+
+    def set_dec_tpc_1(self, dec_tpc_1):
+        self.dec_tpc_1 = dec_tpc_1
+
+    def get_dec_tpc_0(self):
+        return self.dec_tpc_0
+
+    def set_dec_tpc_0(self, dec_tpc_0):
+        self.dec_tpc_0 = dec_tpc_0
+
+
+if __name__ == '__main__':
+    parser = OptionParser(option_class=eng_option, usage="%prog: [options]")
+    (options, args) = parser.parse_args()
+    if(StrictVersion(Qt.qVersion()) >= StrictVersion("4.5.0")):
+        Qt.QApplication.setGraphicsSystem(gr.prefs().get_string('qtgui','style','raster'))
+    qapp = Qt.QApplication(sys.argv)
+    tb = tpc_ber_curve_gen()
+    tb.start()
+    tb.show()
+    def quitting():
+        tb.stop()
+        tb.wait()
+    qapp.connect(qapp, Qt.SIGNAL("aboutToQuit()"), quitting)
+    qapp.exec_()
+    tb = None #to clean up Qt widgets
diff --git a/gr-filter/python/filter/pfb.py b/gr-filter/python/filter/pfb.py
index 22270589e8..9f23d1061b 100644
--- a/gr-filter/python/filter/pfb.py
+++ b/gr-filter/python/filter/pfb.py
@@ -405,14 +405,14 @@ class channelizer_hier_ccf(gr.hier_block2):
     Make a Polyphase Filter channelizer (complex in, complex out, floating-point taps)
 
     Args:
-        n_chans - The number of channels to split into.
-        n_filterbanks - The number of filterbank blocks to use (default=2).
-        taps: The taps to use.  If this is `None` then taps are generated using optfir.low_pass.
-        outchans - Which channels to output streams for (a list of integers) (default is all channels).
-        atten: Stop band attenuation.
-        bw: The fraction of the channel you want to keep.
-        tb: Transition band with as fraction of channel width.
-        ripple: Pass band ripple in dB.
+    n_chans: The number of channels to split into.
+    n_filterbanks: The number of filterbank blocks to use (default=2).
+    taps: The taps to use.  If this is `None` then taps are generated using optfir.low_pass.
+    outchans: Which channels to output streams for (a list of integers) (default is all channels).
+    atten: Stop band attenuation.
+    bw: The fraction of the channel you want to keep.
+    tb: Transition band with as fraction of channel width.
+    ripple: Pass band ripple in dB.
     """
 
     def __init__(self, n_chans, n_filterbanks=1, taps=None, outchans=None,
author	Tom Rondeau <tom@trondeau.com>	2015-08-17 12:26:24 -0400
committer	Tom Rondeau <tom@trondeau.com>	2015-08-17 12:26:24 -0400
commit	dff90672879bf1ed9d3e083ba236fdd6ce29e168 (patch)
tree	7b066b9aa14af2758a515d6a4c3c2ea137cf2a24
parent	22e2f1aed8afdfccce3884cf6bf3140c2b8e3f53 (diff)