1 files changed, 102 insertions, 0 deletions
diff --git a/gr-fec/python/fec/capillary_threaded_encoder.py b/gr-fec/python/fec/capillary_threaded_encoder.py
new file mode 100644
index 0000000000..21d4af62ca
--- /dev/null
+++ b/gr-fec/python/fec/capillary_threaded_encoder.py
@@ -0,0 +1,102 @@
+#!/usr/bin/env python
+#
+# Copyright 2014 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.
+#
+
+from gnuradio import gr, blocks
+import fec_swig as fec
+import math
+
+class capillary_threaded_encoder(gr.hier_block2):
+    def __init__(self, encoder_list_0, input_size=gr.sizeof_char, output_size=gr.sizeof_char):
+        gr.hier_block2.__init__(self, "Capillary Threaded Encoder",
+                                gr.io_signature(1, 1, input_size),
+                                gr.io_signature(1, 1, output_size))
+
+        self.encoder_list_0 = encoder_list_0
+
+        check = math.log10(len(self.encoder_list_0)) / math.log10(2.0)
+        if(abs(check - int(check)) > 0.0):
+            gr.log.info("fec.capillary_threaded_encoder: number of encoders must be a power of 2.")
+            raise AttributeError
+
+        self.deinterleaves_0 = [];
+        for i in range(int(math.log(len(encoder_list_0), 2))):
+            for j in range(int(math.pow(2, i))):
+                self.deinterleaves_0.append(blocks.deinterleave(input_size,
+                                                                fec.get_encoder_input_size(encoder_list_0[0])))
+
+       	self.generic_encoders_0 = [];
+        for i in range(len(encoder_list_0)):
+            self.generic_encoders_0.append(fec.encoder(encoder_list_0[i],
+                                                       input_size, output_size))
+
+        self.interleaves_0 = [];
+        for i in range(int(math.log(len(encoder_list_0), 2))):
+            for j in range(int(math.pow(2, i))):
+                self.interleaves_0.append(blocks.interleave(output_size,
+                                                            fec.get_encoder_output_size(encoder_list_0[0])))
+
+        rootcount = 0;
+        branchcount = 1;
+        for i in range(int(math.log(len(encoder_list_0), 2)) - 1):
+            for j in range(int(math.pow(2, i))):
+                self.connect((self.deinterleaves_0[rootcount], 0), (self.deinterleaves_0[branchcount], 0))
+                self.connect((self.deinterleaves_0[rootcount], 1), (self.deinterleaves_0[branchcount + 1], 0))
+                rootcount += 1;
+                branchcount += 2;
+
+        codercount = 0;
+        for i in range(len(encoder_list_0)/2):
+            self.connect((self.deinterleaves_0[rootcount], 0), (self.generic_encoders_0[codercount], 0))
+            self.connect((self.deinterleaves_0[rootcount], 1), (self.generic_encoders_0[codercount + 1], 0))
+            rootcount += 1;
+            codercount += 2;
+
+
+        rootcount = 0;
+        branchcount = 1;
+        for i in range(int(math.log(len(encoder_list_0), 2)) - 1):
+            for j in range(int(math.pow(2, i))):
+                self.connect((self.interleaves_0[branchcount], 0), (self.interleaves_0[rootcount], 0))
+                self.connect((self.interleaves_0[branchcount + 1], 0), (self.interleaves_0[rootcount], 1))
+                rootcount += 1;
+                branchcount += 2;
+
+
+        codercount = 0;
+        for i in range(len(encoder_list_0)/2):
+            self.connect((self.generic_encoders_0[codercount], 0), (self.interleaves_0[rootcount], 0))
+            self.connect((self.generic_encoders_0[codercount + 1], 0), (self.interleaves_0[rootcount], 1))
+            rootcount += 1;
+            codercount += 2;
+
+       	if((len(self.encoder_list_0)) > 1):
+            self.connect((self, 0), (self.deinterleaves_0[0], 0))
+            self.connect((self.interleaves_0[0], 0), (self, 0))
+        else:
+            self.connect((self, 0), (self.generic_encoders_0[0], 0))
+            self.connect((self.generic_encoders_0[0], 0), (self, 0))
+
+    def get_encoder_list_0(self):
+        return self.encoder_list_0
+
+    def set_encoder_list_0(self, encoder_list_0):
+        self.encoder_list_0 = encoder_list_0