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-rwxr-xr-xgr-blocks/python/qa_pipe_fittings.py138
1 files changed, 138 insertions, 0 deletions
diff --git a/gr-blocks/python/qa_pipe_fittings.py b/gr-blocks/python/qa_pipe_fittings.py
new file mode 100755
index 000000000..097856867
--- /dev/null
+++ b/gr-blocks/python/qa_pipe_fittings.py
@@ -0,0 +1,138 @@
+#!/usr/bin/env python
+#
+# Copyright 2005,2007,2010,2012 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, gr_unittest
+import blocks_swig
+
+def calc_expected_result(src_data, n):
+ assert (len(src_data) % n) == 0
+ result = [list() for x in range(n)]
+ #print "len(result) =", len(result)
+ for i in xrange(len(src_data)):
+ (result[i % n]).append(src_data[i])
+ return [tuple(x) for x in result]
+
+
+class test_pipe_fittings(gr_unittest.TestCase):
+
+ def setUp(self):
+ self.tb = gr.top_block ()
+
+ def tearDown(self):
+ self.tb = None
+
+ def test_001(self):
+ """
+ Test stream_to_streams.
+ """
+ n = 8
+ src_len = n * 8
+ src_data = range(src_len)
+
+ expected_results = calc_expected_result(src_data, n)
+ #print "expected results: ", expected_results
+ src = gr.vector_source_i(src_data)
+ op = gr.stream_to_streams(gr.sizeof_int, n)
+ self.tb.connect(src, op)
+
+ dsts = []
+ for i in range(n):
+ dst = gr.vector_sink_i()
+ self.tb.connect((op, i), (dst, 0))
+ dsts.append(dst)
+
+ self.tb.run()
+
+ for d in range(n):
+ self.assertEqual(expected_results[d], dsts[d].data())
+ """
+ def test_002(self):
+
+ # Test streams_to_stream (using stream_to_streams).
+
+ n = 8
+ src_len = n * 8
+ src_data = tuple(range(src_len))
+ expected_results = src_data
+
+ src = gr.vector_source_i(src_data)
+ op1 = gr.stream_to_streams(gr.sizeof_int, n)
+ op2 = gr.streams_to_stream(gr.sizeof_int, n)
+ dst = gr.vector_sink_i()
+
+ self.tb.connect(src, op1)
+ for i in range(n):
+ self.tb.connect((op1, i), (op2, i))
+ self.tb.connect(op2, dst)
+
+ self.tb.run()
+ self.assertEqual(expected_results, dst.data())
+
+ def test_003(self):
+
+ #Test streams_to_vector (using stream_to_streams & vector_to_stream).
+
+ n = 8
+ src_len = n * 8
+ src_data = tuple(range(src_len))
+ expected_results = src_data
+
+ src = gr.vector_source_i(src_data)
+ op1 = gr.stream_to_streams(gr.sizeof_int, n)
+ op2 = gr.streams_to_vector(gr.sizeof_int, n)
+ op3 = gr.vector_to_stream(gr.sizeof_int, n)
+ dst = gr.vector_sink_i()
+
+ self.tb.connect(src, op1)
+ for i in range(n):
+ self.tb.connect((op1, i), (op2, i))
+ self.tb.connect(op2, op3, dst)
+
+ self.tb.run()
+ self.assertEqual(expected_results, dst.data())
+
+ def test_004(self):
+
+ #Test vector_to_streams.
+
+ n = 8
+ src_len = n * 8
+ src_data = tuple(range(src_len))
+ expected_results = src_data
+
+ src = gr.vector_source_i(src_data)
+ op1 = gr.stream_to_vector(gr.sizeof_int, n)
+ op2 = gr.vector_to_streams(gr.sizeof_int, n)
+ op3 = gr.streams_to_stream(gr.sizeof_int, n)
+ dst = gr.vector_sink_i()
+
+ self.tb.connect(src, op1, op2)
+ for i in range(n):
+ self.tb.connect((op2, i), (op3, i))
+ self.tb.connect(op3, dst)
+
+ self.tb.run()
+ self.assertEqual(expected_results, dst.data())
+ """
+
+if __name__ == '__main__':
+ gr_unittest.run(test_pipe_fittings, "test_pipe_fittings.xml")