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#!/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, 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")
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