#!/usr/bin/env python
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import unittest
from ..util import read_file
from tomopy.recon.rotation import write_center, find_center, find_center_vo, \
    find_center_pc
#from tomopy.util.mproc import get_rank, get_nproc, barrier
import numpy as np
from scipy.ndimage import shift as image_shift
from scipy.ndimage import zoom
import os.path
import shutil
from numpy.testing import assert_array_equal as assert_equals
from numpy.testing import assert_allclose

__author__ = "Doga Gursoy"
__copyright__ = "Copyright (c) 2015, UChicago Argonne, LLC."
__docformat__ = 'restructuredtext en'

try:
    import mkl_fft
    found_mkl = True
except ImportError:
    found_mkl = False


class CenterFindingTestCase(unittest.TestCase):

    @unittest.skipUnless(found_mkl, "Requires MKL")
    def test_write_center(self):
        dpath = os.path.join('test', 'tmp')
        # if get_nproc() > 1 and get_rank() > 0:
        #    dpath += "_{}".format(get_rank())
        cen_range = (5, 7, 0.5)
        cen = np.arange(*cen_range)
        write_center(
            read_file('proj.npy'),
            read_file('angle.npy'),
            dpath, cen_range=cen_range,
            algorithm='gridrec', filter_name='shepp')
        for m in range(cen.size):
            assert_equals(
                os.path.isfile(
                    os.path.join(
                        os.path.join('test', 'tmp'),
                        str('{0:.2f}'.format(cen[m]) + '.tiff'))), True)
        shutil.rmtree(dpath)

    @unittest.skipUnless(found_mkl, "Requires MKL")
    def test_find_center(self):
        sim = read_file('sinogram.npy')
        ang = np.linspace(0, np.pi, sim.shape[0])
        cen = find_center(sim, ang)
        assert_allclose(cen, 45.28, rtol=1e-2)

    def test_find_center_vo(self):
        sim = read_file('sinogram.npy')
        cen = find_center_vo(sim, smin=-10, smax=10, ncore=2)
        assert_allclose(cen, 44.75, rtol=0.25)

    def test_find_center_vo_with_downsampling(self):
        sim = read_file('sinogram.npy')
        sim = zoom(sim[:, 0, :], (45, 22), order=3, mode='reflect')
        sim = np.expand_dims(sim, 1)
        cen = find_center_vo(sim, smin=-10, smax=10, ncore=2)
        assert_allclose(cen, 1002.0, rtol=0.25)

    def test_find_center_pc(self):
        proj_0 = read_file('projection.npy')
        proj_180 = image_shift(np.fliplr(proj_0), (0, 18.75), mode='reflect')
        cen = find_center_pc(proj_0, proj_180)
        assert_allclose(cen, 73.375, rtol=0.25)
