#!/usr/bin/env python

"""
tests for writing and reading back in via netcdf-format

i.e. making sure round trip works

This is, of course, totally incomplete, but a start
"""

from __future__ import (absolute_import, division, print_function)

import pytest

from .utilities import chdir

import numpy as np

from pyugrid.ugrid import UGrid, UVar
from pyugrid.test_examples import two_triangles

def test_with_faces():
    """
    test with faces, edges, but no face_coordintates or edge_coordinates
    """

    with chdir('files'):
        grid = two_triangles()

        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert np.array_equal(grid.nodes, grid2.nodes)
    assert np.array_equal(grid.faces, grid2.faces)

    print(grid2.edges)

    assert np.array_equal(grid.edges, grid2.edges)


def test_without_faces():
    grid = two_triangles()
    del grid.faces
    assert grid.faces is None

    with chdir('files'):
        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert grid2.faces is None
    assert np.array_equal(grid.faces, grid2.faces)
    assert np.array_equal(grid.edges, grid2.edges)

def test_with_just_nodes_and_depths():

    filename = '2_triangles_depth.nc'
    grid = two_triangles()
    del grid.faces
    del grid.edges

    depth_array = [1.0, 2.0, 3.0, 4.0]

    depth = UVar('depth',
                    'node',
                    np.array([1.0, 2.0, 3.0, 4.0]),
                    {'units':'m',
                     'positive':'down',
                     'standard_name' : "sea_floor_depth_below_geoid",
                     })

    grid.add_data(depth)

    with chdir('files'):
        grid.save_as_netcdf(filename)

        # read it back in and check it out
        grid2 = UGrid.from_ncfile(filename, load_data=True)

    assert grid2.faces is None
    assert grid2.edges is None
    assert np.array_equal( grid2.nodes, grid.nodes )

    assert np.array_equal( grid2.data['depth'].data, depth_array )     
    assert grid2.data['depth'].attributes == depth.attributes     





if __name__ == "__main__":
    test_with_faces()
    test_without_faces()

#!/usr/bin/env python

"""
tests for writing and reading back in via netcdf-format

i.e. making sure round trip works

This is, of course, totally incomplete, but a start
"""

from __future__ import (absolute_import, division, print_function)

import pytest

from .utilities import chdir

import numpy as np

from pyugrid.ugrid import UGrid, UVar
from pyugrid.test_examples import two_triangles

def test_with_faces():
    """
    test with faces, edges, but no face_coordintates or edge_coordinates
    """

    with chdir('files'):
        grid = two_triangles()

        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert np.array_equal(grid.nodes, grid2.nodes)
    assert np.array_equal(grid.faces, grid2.faces)

    print(grid2.edges)

    assert np.array_equal(grid.edges, grid2.edges)


def test_without_faces():
    grid = two_triangles()
    del grid.faces
    assert grid.faces is None

    with chdir('files'):
        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert grid2.faces is None
    assert np.array_equal(grid.faces, grid2.faces)
    assert np.array_equal(grid.edges, grid2.edges)

def test_with_just_nodes_and_depths():

    filename = '2_triangles_depth.nc'
    grid = two_triangles()
    del grid.faces
    del grid.edges

    depth_array = [1.0, 2.0, 3.0, 4.0]

    depth = UVar('depth',
                    'node',
                    np.array([1.0, 2.0, 3.0, 4.0]),
                    {'units':'m',
                     'positive':'down',
                     'standard_name' : "sea_floor_depth_below_geoid",
                     })

    grid.add_data(depth)

    with chdir('files'):
        grid.save_as_netcdf(filename)

        # read it back in and check it out
        grid2 = UGrid.from_ncfile(filename, load_data=True)

    assert grid2.faces is None
    assert grid2.edges is None
    assert np.array_equal( grid2.nodes, grid.nodes )

    assert np.array_equal( grid2.data['depth'].data, depth_array )     
    assert grid2.data['depth'].attributes == depth.attributes     





if __name__ == "__main__":
    test_with_faces()
    test_without_faces()

#!/usr/bin/env python tests for writing and reading back in via netcdf-format  i.e. making sure round trip works  This is, of course, totally incomplete, but a start test with faces, edges, but no face_coordintates or edge_coordinates # read it back in and check it out # read it back in and check it out # read it back in and check it out