From 7e7122578fb79b9c4061bb96732fc3f6114339fd Mon Sep 17 00:00:00 2001 From: Dongdong Tian Date: Mon, 8 Jul 2024 21:56:43 +0800 Subject: [PATCH] Add tests for reading datasets and grids --- pygmt/tests/test_clib_read_data.py | 145 +++++++++++++++++++++++++++++ 1 file changed, 145 insertions(+) create mode 100644 pygmt/tests/test_clib_read_data.py diff --git a/pygmt/tests/test_clib_read_data.py b/pygmt/tests/test_clib_read_data.py new file mode 100644 index 00000000000..934e22bf536 --- /dev/null +++ b/pygmt/tests/test_clib_read_data.py @@ -0,0 +1,145 @@ +""" +Test the Session.read_data method. +""" + +import ctypes as ctp +from pathlib import Path + +import numpy as np +from pygmt.clib import Session +from pygmt.datatypes import _GMT_DATASET, _GMT_GRID +from pygmt.helpers import GMTTempFile + + +def test_clib_read_data_dataset(): + """ + Test the Session.read_data method for datasets. + + The test is adapted from the doctest in the _GMT_DATASET class. + """ + with GMTTempFile(suffix=".txt") as tmpfile: + # Prepare the sample data file + with Path(tmpfile.name).open(mode="w", encoding="utf-8") as fp: + print("# x y z name", file=fp) + print(">", file=fp) + print("1.0 2.0 3.0 TEXT1 TEXT23", file=fp) + print("4.0 5.0 6.0 TEXT4 TEXT567", file=fp) + print(">", file=fp) + print("7.0 8.0 9.0 TEXT8 TEXT90", file=fp) + print("10.0 11.0 12.0 TEXT123 TEXT456789", file=fp) + + with Session() as lib: + data_ptr = lib.read_data( + "GMT_IS_DATASET", + "GMT_IS_PLP", + "GMT_READ_NORMAL", + None, + tmpfile.name, + None, + ) + ds = ctp.cast(data_ptr, ctp.POINTER(_GMT_DATASET)).contents + + assert ds.n_tables == 1 + assert ds.n_segments == 2 + assert ds.n_columns == 3 + + tbl = ds.table[0].contents + assert tbl.min[: tbl.n_columns] == [1.0, 2.0, 3.0] + assert tbl.max[: tbl.n_columns] == [10.0, 11.0, 12.0] + + +def test_clib_read_data_grid(): + """ + Test the Session.read_data method for grids. + + The test is adapted from the doctest in the _GMT_GRID class. + """ + with Session() as lib: + data_ptr = lib.read_data( + "GMT_IS_GRID", + "GMT_IS_SURFACE", + "GMT_CONTAINER_AND_DATA", + None, + "@static_earth_relief.nc", + None, + ) + grid = ctp.cast(data_ptr, ctp.POINTER(_GMT_GRID)).contents + header = grid.header.contents + assert header.n_rows == 14 + assert header.n_columns == 8 + assert header.n_bands == 1 + assert header.wesn[:] == [-55.0, -47.0, -24.0, -10.0] + assert header.z_min == 190.0 + assert header.z_max == 981.0 + + assert grid.data # The data is read + data = np.reshape(grid.data[: header.mx * header.my], (header.my, header.mx)) + data = data[ + header.pad[2] : header.my - header.pad[3], + header.pad[0] : header.mx - header.pad[1], + ] + assert data[3][4] == 250.0 + + +def test_clib_read_data_grid_two_steps(): + """ + Test the Session.read_data method for grids in two steps, first reading the header + and then the data. + + The test is adapted from the doctest in the _GMT_GRID class. + """ + family, geometry = "GMT_IS_GRID", "GMT_IS_SURFACE" + infile = "@static_earth_relief.nc" + with Session() as lib: + # Read the header first + data_ptr = lib.read_data( + family, geometry, "GMT_CONTAINER_ONLY", None, infile, None + ) + grid = ctp.cast(data_ptr, ctp.POINTER(_GMT_GRID)).contents + header = grid.header.contents + assert header.n_rows == 14 + assert header.n_columns == 8 + assert header.n_bands == 1 + assert header.wesn[:] == [-55.0, -47.0, -24.0, -10.0] + assert header.z_min == 190.0 + assert header.z_max == 981.0 + + assert not grid.data # The data is not read yet + + # Read the data + data_ptr = lib.read_data( + family, geometry, "GMT_DATA_ONLY", None, infile, data_ptr + ) + grid = ctp.cast(data_ptr, ctp.POINTER(_GMT_GRID)).contents + + assert grid.data # The data is read + header = grid.header.contents + data = np.reshape(grid.data[: header.mx * header.my], (header.my, header.mx)) + data = data[ + header.pad[2] : header.my - header.pad[3], + header.pad[0] : header.mx - header.pad[1], + ] + assert data[3][4] == 250.0 + + +def test_clib_read_data_image_as_grid(): + """ + Test the Session.read_data method for images. + """ + with Session() as lib: + data_ptr = lib.read_data( + "GMT_IS_GRID", + "GMT_IS_SURFACE", + "GMT_CONTAINER_AND_DATA", + None, + "@earth_day_01d_p", + None, + ) + image = ctp.cast(data_ptr, ctp.POINTER(_GMT_GRID)).contents + header = image.header.contents + assert header.n_rows == 180 + assert header.n_columns == 360 + assert header.n_bands == 1 + assert header.wesn[:] == [-180.0, 180.0, -90.0, 90.0] + + assert image.data