sumsquares_test_01.py

#!/usr/bin/env python
# Copyright (C) 2014  Kipp Cannon
#
# This program 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 2 of the License, or (at your
# option) any later version.
#
# This program 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.

#
# =============================================================================
#
#                                   Preamble
#
# =============================================================================
#


import numpy
import sys
from gstlal import pipeparts
import test_common
import cmp_nxydumps


#
# =============================================================================
#
#                                  Pipelines
#
# =============================================================================
#


#
# is the element an identity transform when given 1 channel of 1s and no
# weights array?
#


def sumsquares_test_01(pipeline, name, width):
    #
    # try changing these.  test should still work!
    #

    rate = 2048 # Hz
    gap_frequency = 13.0    # Hz
    gap_threshold = 0.8 # of 1
    buffer_length = 1.0 # seconds
    test_duration = 10.0    # seconds

    #
    # build pipeline.  square wave with 0 frequency = stream of 1s
    #

    head = test_common.gapped_test_src(pipeline, buffer_length = buffer_length, rate = rate, width = width, wave = 1, freq = 0, channels = 1, test_duration = test_duration, gap_frequency = gap_frequency, gap_threshold = gap_threshold, control_dump_filename = "%s_control.dump" % name)
    head = tee = pipeparts.mktee(pipeline, head)

    head = pipeparts.mksumsquares(pipeline, head)
    head = pipeparts.mkchecktimestamps(pipeline, head)
    pipeparts.mknxydumpsink(pipeline, pipeparts.mkqueue(pipeline, head), "%s_out.dump" % name)
    pipeparts.mknxydumpsink(pipeline, pipeparts.mkqueue(pipeline, tee), "%s_in.dump" % name)

    #
    # done
    #

    return pipeline


#
# test the transformation of a specific buffer with a specific weights vector
#


def sumsquares_test_02(name, dtype, samples, channels_in):
    numpy.random.seed(0)
    input_array = numpy.random.random((samples, channels_in)).astype(dtype)
    # element always ingests weights matrix as double-precision floats
    weights = numpy.random.random((channels_in,)).astype("float64")

    output_reference = ((weights.astype(dtype) * input_array)**2).sum(axis = 1)
    output_reference.shape = output_reference.shape + (1,)

    output_array, = test_common.transform_arrays([input_array], pipeparts.mksumsquares, name, weights = weights)

    if (output_array != output_reference).any():
        raise ValueError("incorrect output:  expected %s, got %s\ndifference = %s" % (output_reference, output_array, output_array - output_reference))


#
# =============================================================================
#
#                                     Main
#
# =============================================================================
#


test_common.build_and_run(sumsquares_test_01, "sumsquares_test_01a", width = 64)
cmp_nxydumps.compare("sumsquares_test_01a_in.dump", "sumsquares_test_01a_out.dump", flags = cmp_nxydumps.COMPARE_FLAGS_EXACT_GAPS)
test_common.build_and_run(sumsquares_test_01, "sumsquares_test_01b", width = 32)
cmp_nxydumps.compare("sumsquares_test_01b_in.dump", "sumsquares_test_01b_out.dump", flags = cmp_nxydumps.COMPARE_FLAGS_EXACT_GAPS)


sumsquares_test_02("sumsquares_test_02a", "float64", samples = 6, channels_in = 4)
sumsquares_test_02("sumsquares_test_02b", "float32", samples = 6, channels_in = 4)