1 files changed, 104 insertions, 0 deletions
diff --git a/gr-blocks/python/qa_vector_map.py b/gr-blocks/python/qa_vector_map.py
new file mode 100644
index 0000000000..54565fe443
--- /dev/null
+++ b/gr-blocks/python/qa_vector_map.py
@@ -0,0 +1,104 @@
+#!/usr/bin/env python
+#
+# Copyright 2012,2013 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.
+#
+
+from gnuradio import gr, gr_unittest
+import blocks_swig as blocks
+import math
+
+class test_vector_map(gr_unittest.TestCase):
+
+    def setUp(self):
+        self.tb = gr.top_block()
+
+    def tearDown(self):
+        self.tb = None
+
+    def test_reversing(self):
+        # Chunk data in blocks of N and reverse the block contents.
+        N = 5
+        src_data = range(0, 20)
+        expected_result = []
+        for i in range(N-1, len(src_data), N):
+            for j in range(0, N):
+                expected_result.append(1.0*(i-j))
+        mapping = [list(reversed([(0, i) for i in range(0, N)]))]
+        src = blocks.vector_source_f(src_data, False, N)
+        vmap = blocks.vector_map(gr.sizeof_float, (N, ), mapping)
+        dst = blocks.vector_sink_f(N)
+        self.tb.connect(src, vmap, dst)
+        self.tb.run()
+        result_data = list(dst.data())
+        self.assertEqual(expected_result, result_data)
+
+    def test_vector_to_streams(self):
+        # Split an input vector into N streams.
+        N = 5
+        M = 20
+        src_data = range(0, M)
+        expected_results = []
+        for n in range(0, N):
+            expected_results.append(range(n, M, N))
+        mapping = [[(0, n)] for n in range(0, N)]
+        src = blocks.vector_source_f(src_data, False, N)
+        vmap = blocks.vector_map(gr.sizeof_float, (N, ), mapping)
+        dsts = [blocks.vector_sink_f(1) for n in range(0, N)]
+        self.tb.connect(src, vmap)
+        for n in range(0, N):
+            self.tb.connect((vmap, n), dsts[n])
+        self.tb.run()
+        for n in range(0, N):
+            result_data = list(dsts[n].data())
+            self.assertEqual(expected_results[n], result_data)
+        
+    def test_interleaving(self):
+        # Takes 3 streams (a, b and c)
+        # Outputs 2 streams.
+        # First (d) is interleaving of a and b.
+        # Second (e) is interleaving of a and b and c.  c is taken in
+        #     chunks of 2 which are reversed.
+        A = (1, 2, 3, 4, 5)
+        B = (11, 12, 13, 14, 15)
+        C = (99, 98, 97, 96, 95, 94, 93, 92, 91, 90)
+        expected_D = (1, 11, 2, 12, 3, 13, 4, 14, 5, 15)
+        expected_E = (1, 11, 98, 99, 2, 12, 96, 97, 3, 13, 94, 95,
+                      4, 14, 92, 93, 5, 15, 90, 91)
+        mapping = [[(0, 0), (1, 0)], # mapping to produce D
+                   [(0, 0), (1, 0), (2, 1), (2, 0)], # mapping to produce E
+                   ]
+        srcA = blocks.vector_source_f(A, False, 1)
+        srcB = blocks.vector_source_f(B, False, 1)
+        srcC = blocks.vector_source_f(C, False, 2)
+        vmap =  blocks.vector_map(gr.sizeof_int, (1, 1, 2), mapping)
+        dstD = blocks.vector_sink_f(2)
+        dstE = blocks.vector_sink_f(4)
+        self.tb.connect(srcA, (vmap, 0))
+        self.tb.connect(srcB, (vmap, 1)) 
+        self.tb.connect(srcC, (vmap, 2)) 
+        self.tb.connect((vmap, 0), dstD)
+        self.tb.connect((vmap, 1), dstE)
+        self.tb.run()
+        self.assertEqual(expected_D, dstD.data())
+        self.assertEqual(expected_E, dstE.data())
+
+if __name__ == '__main__':
+    gr_unittest.run(test_vector_map, "test_vector_map.xml")
+