Merge branch 'maint' of https://github.com/guruofquality/gnuradio into v3.6.4git_gras_support

Conflicts:
	gnuradio-core/src/lib/runtime/gr_block.cc
	gnuradio-core/src/lib/runtime/gr_block.h
	gnuradio-core/src/lib/runtime/gr_types.h

1 files changed, 90 insertions, 0 deletions

diff --git a/gr-blocks/python/qa_transcendental.py b/gr-blocks/python/qa_transcendental.py
new file mode 100644
index 000000000..8174f7963
--- /dev/null
+++ b/gr-blocks/python/qa_transcendental.py
@@ -0,0 +1,90 @@
+#!/usr/bin/env python
+#
+# 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.
+#
+
+from gnuradio import gr, gr_unittest
+import blocks_swig as blocks
+import math
+
+class test_transcendental(gr_unittest.TestCase):
+
+    def setUp(self):
+        self.tb = gr.top_block()
+
+    def tearDown(self):
+        self.tb = None
+
+    def test_01(self):
+        tb = self.tb
+
+        data = 100*[0,]
+        expected_result = 100*[1,]
+
+        src = gr.vector_source_f(data, False)
+        op = blocks.transcendental("cos", "float")
+        dst = gr.vector_sink_f()
+
+        tb.connect(src, op)
+        tb.connect(op, dst)
+        tb.run()
+
+        dst_data = dst.data()
+
+        self.assertFloatTuplesAlmostEqual(expected_result, dst_data, 5)
+
+    def test_02(self):
+        tb = self.tb
+
+        data = 100*[3,]
+        expected_result = 100*[math.log10(3),]
+
+        src = gr.vector_source_f(data, False)
+        op = blocks.transcendental("log10", "float")
+        dst = gr.vector_sink_f()
+
+        tb.connect(src, op)
+        tb.connect(op, dst)
+        tb.run()
+
+        dst_data = dst.data()
+
+        self.assertFloatTuplesAlmostEqual(expected_result, dst_data, 5)
+
+    def test_03(self):
+        tb = self.tb
+
+        data = 100*[3,]
+        expected_result = 100*[math.tanh(3),]
+
+        src = gr.vector_source_f(data, False)
+        op = blocks.transcendental("tanh", "float")
+        dst = gr.vector_sink_f()
+
+        tb.connect(src, op)
+        tb.connect(op, dst)
+        tb.run()
+
+        dst_data = dst.data()
+
+        self.assertFloatTuplesAlmostEqual(expected_result, dst_data, 5)
+
+if __name__ == '__main__':
+    gr_unittest.run(test_transcendental, "test_transcendental.xml")