from __future__ import division, print_function, absolute_import

import numpy as np
from numpy.testing import assert_allclose, assert_array_equal
from pytest import raises as assert_raises

from numpy.fft import fft, ifft

from scipy.signal import max_len_seq


class TestMLS(object):

    def test_mls_inputs(self):
        # can't all be zero state
        assert_raises(ValueError, max_len_seq,
                      10, state=np.zeros(10))
        # wrong size state
        assert_raises(ValueError, max_len_seq, 10,
                      state=np.ones(3))
        # wrong length
        assert_raises(ValueError, max_len_seq, 10, length=-1)
        assert_array_equal(max_len_seq(10, length=0)[0], [])
        # unknown taps
        assert_raises(ValueError, max_len_seq, 64)
        # bad taps
        assert_raises(ValueError, max_len_seq, 10, taps=[-1, 1])

    def test_mls_output(self):
        # define some alternate working taps
        alt_taps = {2: [1], 3: [2], 4: [3], 5: [4, 3, 2], 6: [5, 4, 1], 7: [4],
                    8: [7, 5, 3]}
        # assume the other bit levels work, too slow to test higher orders...
        for nbits in range(2, 8):
            for state in [None, np.round(np.random.rand(nbits))]:
                for taps in [None, alt_taps[nbits]]:
                    if state is not None and np.all(state == 0):
                        state[0] = 1  # they can't all be zero
                    orig_m = max_len_seq(nbits, state=state,
                                         taps=taps)[0]
                    m = 2. * orig_m - 1.  # convert to +/- 1 representation
                    # First, make sure we got all 1's or -1
                    err_msg = "mls had non binary terms"
                    assert_array_equal(np.abs(m), np.ones_like(m),
                                       err_msg=err_msg)
                    # Test via circular cross-correlation, which is just mult.
                    # in the frequency domain with one signal conjugated
                    tester = np.real(ifft(fft(m) * np.conj(fft(m))))
                    out_len = 2**nbits - 1
                    # impulse amplitude == test_len
                    err_msg = "mls impulse has incorrect value"
                    assert_allclose(tester[0], out_len, err_msg=err_msg)
                    # steady-state is -1
                    err_msg = "mls steady-state has incorrect value"
                    assert_allclose(tester[1:], -1 * np.ones(out_len - 1),
                                    err_msg=err_msg)
                    # let's do the split thing using a couple options
                    for n in (1, 2**(nbits - 1)):
                        m1, s1 = max_len_seq(nbits, state=state, taps=taps,
                                             length=n)
                        m2, s2 = max_len_seq(nbits, state=s1, taps=taps,
                                             length=1)
                        m3, s3 = max_len_seq(nbits, state=s2, taps=taps,
                                             length=out_len - n - 1)
                        new_m = np.concatenate((m1, m2, m3))
                        assert_array_equal(orig_m, new_m)