Loaded libgmt: binary dir: C:/Users/seisman/Anaconda3/envs/pygmt cores: 1 grid layout: rows library path: C:/programs/gmt6/bin/gmt_w64.dll padding: 2 plugin dir: C:/programs/gmt6/bin/gmt_plugins share dir: c:/programs/gmt5/share version: 6.0.0 ============================= test session starts ============================= platform win32 -- Python 3.6.6, pytest-4.1.1, py-1.7.0, pluggy-0.8.1 -- C:\Users\seisman\Anaconda3\envs\pygmt\python.exe cachedir: .pytest_cache Matplotlib: 3.0.2 Freetype: 2.9.1 rootdir: C:\Users\seisman\Desktop, inifile: plugins: mpl-0.10 collecting ... collected 158 items base_plotting.py::pygmt.base_plotting.BasePlotting._preprocess <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\base_plotting.py PASSED [ 0%] figure.py::pygmt.figure.Figure <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\figure.py PASSED [ 1%] clib/conversion.py::pygmt.clib.conversion._as_array <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py FAILED [ 1%] clib/conversion.py::pygmt.clib.conversion.as_c_contiguous <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py PASSED [ 2%] clib/conversion.py::pygmt.clib.conversion.dataarray_to_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py PASSED [ 3%] clib/conversion.py::pygmt.clib.conversion.kwargs_to_ctypes_array <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py FAILED [ 3%] clib/conversion.py::pygmt.clib.conversion.vectors_to_arrays <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py PASSED [ 4%] clib/session.py::pygmt.clib.session.Session <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 5%] clib/session.py::pygmt.clib.session.Session._check_dtype_and_dim <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 5%] clib/session.py::pygmt.clib.session.Session.extract_region <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 6%] clib/session.py::pygmt.clib.session.Session.get_libgmt_func <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 6%] clib/session.py::pygmt.clib.session.Session.open_virtual_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 7%] clib/session.py::pygmt.clib.session.Session.virtualfile_from_grid <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 8%] clib/session.py::pygmt.clib.session.Session.virtualfile_from_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 8%] clib/session.py::pygmt.clib.session.Session.virtualfile_from_vectors <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\session.py PASSED [ 9%] datasets/earth_relief.py::pygmt.datasets.earth_relief._is_valid_resolution <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\datasets\earth_relief.py PASSED [ 10%] datasets/earth_relief.py::pygmt.datasets.earth_relief._shape_from_resolution <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\datasets\earth_relief.py PASSED [ 10%] helpers/decorators.py::pygmt.helpers.decorators.fmt_docstring <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\decorators.py PASSED [ 11%] helpers/decorators.py::pygmt.helpers.decorators.kwargs_to_strings <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\decorators.py PASSED [ 12%] helpers/decorators.py::pygmt.helpers.decorators.use_alias <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\decorators.py PASSED [ 12%] helpers/tempfile.py::pygmt.helpers.tempfile.GMTTempFile <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\tempfile.py PASSED [ 13%] helpers/utils.py::pygmt.helpers.utils.build_arg_string <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\utils.py PASSED [ 13%] helpers/utils.py::pygmt.helpers.utils.data_kind <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\utils.py PASSED [ 14%] helpers/utils.py::pygmt.helpers.utils.dummy_context <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\utils.py PASSED [ 15%] helpers/utils.py::pygmt.helpers.utils.is_nonstr_iter <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\helpers\utils.py PASSED [ 15%] tests/test_basemap.py::test_basemap_required_args <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py PASSED [ 16%] tests/test_basemap.py::test_basemap <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py PASSED [ 17%] tests/test_basemap.py::test_basemap_list_region <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py PASSED [ 17%] tests/test_basemap.py::test_basemap_loglog <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py PASSED [ 18%] tests/test_basemap.py::test_basemap_power_axis <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py PASSED [ 18%] tests/test_basemap.py::test_basemap_polar <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py FAILED [ 19%] tests/test_basemap.py::test_basemap_winkel_tripel <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py FAILED [ 20%] tests/test_basemap.py::test_basemap_aliases <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_basemap.py FAILED [ 20%] tests/test_clib.py::test_load_libgmt <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 21%] tests/test_clib.py::test_load_libgmt_fail <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 22%] tests/test_clib.py::test_get_clib_path <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 22%] tests/test_clib.py::test_check_libgmt <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 23%] tests/test_clib.py::test_clib_name <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 24%] tests/test_clib.py::test_getitem <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 24%] tests/test_clib.py::test_create_destroy_session <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 25%] tests/test_clib.py::test_create_session_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 25%] tests/test_clib.py::test_destroy_session_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 26%] tests/test_clib.py::test_call_module <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 27%] tests/test_clib.py::test_call_module_invalid_arguments <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 27%] tests/test_clib.py::test_call_module_invalid_name <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 28%] tests/test_clib.py::test_call_module_error_message <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 29%] tests/test_clib.py::test_method_no_session <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 29%] tests/test_clib.py::test_parse_constant_single <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 30%] tests/test_clib.py::test_parse_constant_composite <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 31%] tests/test_clib.py::test_parse_constant_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 31%] tests/test_clib.py::test_create_data_dataset <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 32%] tests/test_clib.py::test_create_data_grid_dim <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 32%] tests/test_clib.py::test_create_data_grid_range <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 33%] tests/test_clib.py::test_create_data_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 34%] tests/test_clib.py::test_put_vector <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 34%] tests/test_clib.py::test_put_vector_invalid_dtype <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 35%] tests/test_clib.py::test_put_vector_wrong_column <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 36%] tests/test_clib.py::test_put_vector_2d_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 36%] tests/test_clib.py::test_put_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 37%] tests/test_clib.py::test_put_matrix_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 37%] tests/test_clib.py::test_put_matrix_grid <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 38%] tests/test_clib.py::test_virtual_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 39%] tests/test_clib.py::test_virtual_file_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 39%] tests/test_clib.py::test_virtual_file_bad_direction <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 40%] tests/test_clib.py::test_virtualfile_from_vectors <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 41%] tests/test_clib.py::test_virtualfile_from_vectors_transpose <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 41%] tests/test_clib.py::test_virtualfile_from_vectors_diff_size <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 42%] tests/test_clib.py::test_virtualfile_from_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 43%] tests/test_clib.py::test_virtualfile_from_matrix_slice <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 43%] tests/test_clib.py::test_virtualfile_from_vectors_pandas <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 44%] tests/test_clib.py::test_virtualfile_from_vectors_arraylike <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 44%] tests/test_clib.py::test_extract_region_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 45%] tests/test_clib.py::test_extract_region_two_figures <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 46%] tests/test_clib.py::test_write_data_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 46%] tests/test_clib.py::test_dataarray_to_matrix_dims_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 47%] tests/test_clib.py::test_dataarray_to_matrix_inc_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 48%] tests/test_clib.py::test_get_default <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 48%] tests/test_clib.py::test_get_default_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 49%] tests/test_clib.py::test_info_dict <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 50%] tests/test_clib.py::test_fails_for_wrong_version <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_clib.py PASSED [ 50%] tests/test_coast.py::test_coast <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_coast.py FAILED [ 51%] tests/test_coast.py::test_coast_iceland <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_coast.py FAILED [ 51%] tests/test_coast.py::test_coast_aliases <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_coast.py FAILED [ 52%] tests/test_coast.py::test_coast_world_mercator <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_coast.py FAILED [ 53%] tests/test_contour.py::test_contour_fail_no_data <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_contour.py PASSED [ 53%] tests/test_contour.py::test_contour_vec <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_contour.py PASSED [ 54%] tests/test_contour.py::test_contour_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_contour.py PASSED [ 55%] tests/test_contour.py::test_contour_from_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_contour.py PASSED [ 55%] tests/test_datasets.py::test_japan_quakes <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 56%] tests/test_datasets.py::test_sample_bathymetry <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 56%] tests/test_datasets.py::test_usgs_quakes <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 57%] tests/test_datasets.py::test_earth_relief_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 58%] tests/test_datasets.py::test_earth_relief_60 <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 58%] tests/test_datasets.py::test_earth_relief_30 <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_datasets.py PASSED [ 59%] tests/test_figure.py::test_figure_region <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 60%] tests/test_figure.py::test_figure_region_multiple <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 60%] tests/test_figure.py::test_figure_region_country_codes <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 61%] tests/test_figure.py::test_figure_savefig_exists <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 62%] tests/test_figure.py::test_figure_savefig_transparent <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 62%] tests/test_figure.py::test_figure_savefig <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 63%] tests/test_figure.py::test_figure_show <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_figure.py PASSED [ 63%] tests/test_grdcontour.py::test_grdcontour <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py FAILED [ 64%] tests/test_grdcontour.py::test_grdcontour_labels <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py FAILED [ 65%] tests/test_grdcontour.py::test_grdcontour_slice <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py FAILED [ 65%] tests/test_grdcontour.py::test_grdcontour_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py PASSED [ 66%] tests/test_grdcontour.py::test_grdcontour_interval_file_full_opts <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py FAILED [ 67%] tests/test_grdcontour.py::test_grdcontour_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdcontour.py PASSED [ 67%] tests/test_grdimage.py::test_grdimage <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdimage.py PASSED [ 68%] tests/test_grdimage.py::test_grdimage_slice <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdimage.py PASSED [ 68%] tests/test_grdimage.py::test_grdimage_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdimage.py PASSED [ 69%] tests/test_grdimage.py::test_grdimage_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_grdimage.py PASSED [ 70%] tests/test_helpers.py::test_unique_name <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 70%] tests/test_helpers.py::test_kwargs_to_strings_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 71%] tests/test_helpers.py::test_kwargs_to_strings_no_bools <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 72%] tests/test_helpers.py::test_gmttempfile <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 72%] tests/test_helpers.py::test_gmttempfile_unique <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 73%] tests/test_helpers.py::test_gmttempfile_prefix_suffix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 74%] tests/test_helpers.py::test_gmttempfile_read <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_helpers.py PASSED [ 74%] tests/test_image.py::test_image <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_image.py PASSED [ 75%] tests/test_info.py::test_info <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 75%] tests/test_info.py::test_info_c <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 76%] tests/test_info.py::test_info_i <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 77%] tests/test_info.py::test_info_c_i <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 77%] tests/test_info.py::test_info_t <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 78%] tests/test_info.py::test_info_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 79%] tests/test_info.py::test_grdinfo <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 79%] tests/test_info.py::test_grdinfo_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 80%] tests/test_info.py::test_grdinfo_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_info.py PASSED [ 81%] tests/test_logo.py::test_logo <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_logo.py PASSED [ 81%] tests/test_logo.py::test_logo_on_a_map <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_logo.py FAILED [ 82%] tests/test_logo.py::test_logo_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_logo.py PASSED [ 82%] tests/test_plot.py::test_plot_red_circles <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 83%] tests/test_plot.py::test_plot_fail_no_data <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 84%] tests/test_plot.py::test_plot_fail_size_color <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 84%] tests/test_plot.py::test_plot_projection <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py FAILED [ 85%] tests/test_plot.py::test_plot_colors <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 86%] tests/test_plot.py::test_plot_sizes <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 86%] tests/test_plot.py::test_plot_colors_sizes <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 87%] tests/test_plot.py::test_plot_colors_sizes_proj <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py FAILED [ 87%] tests/test_plot.py::test_plot_matrix <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py FAILED [ 88%] tests/test_plot.py::test_plot_matrix_color <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 89%] tests/test_plot.py::test_plot_from_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 89%] tests/test_plot.py::test_plot_vectors <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_plot.py PASSED [ 90%] tests/test_psconvert.py::test_psconvert <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_psconvert.py PASSED [ 91%] tests/test_psconvert.py::test_psconvert_twice <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_psconvert.py PASSED [ 91%] tests/test_psconvert.py::test_psconvert_int_options <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_psconvert.py PASSED [ 92%] tests/test_psconvert.py::test_psconvert_aliases <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_psconvert.py PASSED [ 93%] tests/test_session_management.py::test_begin_end <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_session_management.py PASSED [ 93%] tests/test_sphinx_gallery.py::test_pygmtscraper <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_sphinx_gallery.py SKIPPED [ 94%] tests/test_surface.py::test_surface_input_file <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py PASSED [ 94%] tests/test_surface.py::test_surface_input_data_array <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py PASSED [ 95%] tests/test_surface.py::test_surface_input_xyz <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py PASSED [ 96%] tests/test_surface.py::test_surface_input_xy_no_z <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py PASSED [ 96%] tests/test_surface.py::test_surface_wrong_kind_of_input <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py PASSED [ 97%] tests/test_surface.py::test_surface_with_outfile_param <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py FAILED [ 98%] tests/test_surface.py::test_surface_short_aliases <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py FAILED [ 98%] tests/test_which.py::test_which <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_which.py PASSED [ 99%] tests/test_which.py::test_which_fails <- ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_which.py PASSED [100%] ================================== FAILURES =================================== __________________ [doctest] pygmt.clib.conversion._as_array __________________ 214 215 Examples 216 -------- 217 218 >>> import pandas as pd 219 >>> x_series = pd.Series(data=[1, 2, 3, 4]) 220 >>> x_array = _as_array(x_series) 221 >>> type(x_array) 222 223 >>> x_array Expected: array([1, 2, 3, 4]) Got: array([1, 2, 3, 4], dtype=int64) C:\Users\seisman\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py:223: DocTestFailure ___________ [doctest] pygmt.clib.conversion.kwargs_to_ctypes_array ____________ 256 Returns 257 ------- 258 ctypes_value : ctypes array or None 259 260 Examples 261 -------- 262 263 >>> import ctypes as ct 264 >>> value = kwargs_to_ctypes_array('bla', {'bla': [10, 10]}, ct.c_int*2) 265 >>> type(value) Expected: Got: C:\Users\seisman\Anaconda3\envs\pygmt\lib\site-packages\pygmt\clib\conversion.py:265: DocTestFailure _____________________________ test_basemap_polar ______________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_basemap_polar.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn2iws22a' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn2iws22a\\test_basemap_polar.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_basemap_polar.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn2iws22a\\baseline-test_basemap_polar.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (1822, 1961, 3) actual size (1822, 1958, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _________________________ test_basemap_winkel_tripel __________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_basemap_winkel_tripel.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpxg43abx0' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpxg43abx0\\test_basemap_winkel_tripel.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_basemap_winkel_tripel.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpxg43abx0\\baseline-test_basemap_winkel_tripel.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (1961, 3120, 3) actual size (1958, 3128, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure ____________________________ test_basemap_aliases _____________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_basemap_aliases.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpuddkczeh' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpuddkczeh\\test_basemap_aliases.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_basemap_aliases.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpuddkczeh\\baseline-test_basemap_aliases.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (1057, 2267, 3) actual size (1057, 2275, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _________________________________ test_coast __________________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_coast.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn14i9jpn' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn14i9jpn\\test_coast.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_coast.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpn14i9jpn\\baseline-test_coast.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (2768, 2081, 3) actual size (2765, 2089, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _____________________________ test_coast_iceland ______________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_coast_iceland.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpe6azbszr' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpe6azbszr\\test_coast_iceland.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_coast_iceland.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpe6azbszr\\baseline-test_coast_iceland.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (1441, 2585, 3) actual size (1438, 2593, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _____________________________ test_coast_aliases ______________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_coast_aliases.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpigmb383z' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpigmb383z\\test_coast_aliases.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_coast_aliases.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpigmb383z\\baseline-test_coast_aliases.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (2768, 2081, 3) actual size (2765, 2089, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure __________________________ test_coast_world_mercator __________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_coast_world_mercator.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp__2mlqs5' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp__2mlqs5\\test_coast_world_mercator.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_coast_world_mercator.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp__2mlqs5\\baseline-test_coast_world_mercator.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (2480, 3281, 3) actual size (2477, 3289, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _______________________________ test_grdcontour _______________________________ Error: Image files did not match. RMS Value: 3.9133396446321216 Expected: C:\Users\seisman\AppData\Local\Temp\tmpkj_i8_1z\baseline-test_grdcontour.png Actual: C:\Users\seisman\AppData\Local\Temp\tmpkj_i8_1z\test_grdcontour.png Difference: C:\Users\seisman\AppData\Local\Temp\tmpkj_i8_1z\test_grdcontour-failed-diff.png Tolerance: 2 ___________________________ test_grdcontour_labels ____________________________ Error: Image files did not match. RMS Value: 25.282257700227564 Expected: C:\Users\seisman\AppData\Local\Temp\tmprx6u4lay\baseline-test_grdcontour_labels.png Actual: C:\Users\seisman\AppData\Local\Temp\tmprx6u4lay\test_grdcontour_labels.png Difference: C:\Users\seisman\AppData\Local\Temp\tmprx6u4lay\test_grdcontour_labels-failed-diff.png Tolerance: 2 ____________________________ test_grdcontour_slice ____________________________ Error: Image files did not match. RMS Value: 2.1314405328071517 Expected: C:\Users\seisman\AppData\Local\Temp\tmpzpf4pbml\baseline-test_grdcontour_slice.png Actual: C:\Users\seisman\AppData\Local\Temp\tmpzpf4pbml\test_grdcontour_slice.png Difference: C:\Users\seisman\AppData\Local\Temp\tmpzpf4pbml\test_grdcontour_slice-failed-diff.png Tolerance: 2 ___________________ test_grdcontour_interval_file_full_opts ___________________ Error: Image files did not match. RMS Value: 12.615375102338323 Expected: C:\Users\seisman\AppData\Local\Temp\tmpspp96rt5\baseline-test_grdcontour_interval_file_full_opts.png Actual: C:\Users\seisman\AppData\Local\Temp\tmpspp96rt5\test_grdcontour_interval_file_full_opts.png Difference: C:\Users\seisman\AppData\Local\Temp\tmpspp96rt5\test_grdcontour_interval_file_full_opts-failed-diff.png Tolerance: 2 _____________________________ test_logo_on_a_map ______________________________ args = (), kwargs = {} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_logo_on_a_map.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpl4fay6z0' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpl4fay6z0\\test_logo_on_a_map.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_logo_on_a_map.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpl4fay6z0\\baseline-test_logo_on_a_map.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (1986, 2023, 3) actual size (1983, 2031, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure ____________________________ test_plot_projection _____________________________ args = () kwargs = {'data': array([[43.4847, 0.6227, 0.5309], [22.331 , 3.7556, 0.3817], [40.8023, 5.5903, 0.7764], ... 0.7622], [61.7074, 1.4425, 0.4305], [28.1125, 3.8456, 0.9338], [47.8333, -0.7225, 0.5969]])} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_plot_projection.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpd85vjqrf' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpd85vjqrf\\test_plot_projection.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_plot_projection.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpd85vjqrf\\baseline-test_plot_projection.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (894, 1367, 3) actual size (891, 1375, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _________________________ test_plot_colors_sizes_proj _________________________ args = () kwargs = {'data': array([[43.4847, 0.6227, 0.5309], [22.331 , 3.7556, 0.3817], [40.8023, 5.5903, 0.7764], ...1.4425, 0.4305], [28.1125, 3.8456, 0.9338], [47.8333, -0.7225, 0.5969]]), 'region': [10, 70, -5, 10]} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_plot_colors_sizes_proj.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpaac4kfjv' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpaac4kfjv\\test_plot_colors_sizes_proj.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_plot_colors_sizes_proj.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmpaac4kfjv\\baseline-test_plot_colors_sizes_proj.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (908, 3225, 3) actual size (905, 3234, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure ______________________________ test_plot_matrix _______________________________ args = () kwargs = {'data': array([[43.4847, 0.6227, 0.5309], [22.331 , 3.7556, 0.3817], [40.8023, 5.5903, 0.7764], ... 0.7622], [61.7074, 1.4425, 0.4305], [28.1125, 3.8456, 0.9338], [47.8333, -0.7225, 0.5969]])} baseline_dir = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline' baseline_remote = False fig = filename = 'test_plot_matrix.png' result_dir = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp32l0smu9' test_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp32l0smu9\\test_plot_matrix.png' baseline_image_ref = 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\baseline\\test_plot_matrix.png' baseline_image = 'C:\\Users\\seisman\\AppData\\Local\\Temp\\tmp32l0smu9\\baseline-test_plot_matrix.png' @wraps(item.function) def item_function_wrapper(*args, **kwargs): baseline_dir = compare.kwargs.get('baseline_dir', None) if baseline_dir is None: if self.baseline_dir is None: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), 'baseline') else: baseline_dir = self.baseline_dir baseline_remote = False else: baseline_remote = baseline_dir.startswith(('http://', 'https://')) if not baseline_remote: baseline_dir = os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir) with plt.style.context(style, after_reset=True), switch_backend(backend): # Run test and get figure object if inspect.ismethod(original): # method # In some cases, for example if setup_method is used, # original appears to belong to an instance of the test # class that is not the same as args[0], and args[0] is the # one that has the correct attributes set up from setup_method # so we ignore original.__self__ and use args[0] instead. fig = original.__func__(*args, **kwargs) else: # function fig = original(*args, **kwargs) if remove_text: remove_ticks_and_titles(fig) # Find test name to use as plot name filename = compare.kwargs.get('filename', None) if filename is None: filename = item.name + '.png' filename = filename.replace('[', '_').replace(']', '_') filename = filename.replace('/', '_') filename = filename.replace('_.png', '.png') # What we do now depends on whether we are generating the # reference images or simply running the test. if self.generate_dir is None: # Save the figure result_dir = tempfile.mkdtemp(dir=self.results_dir) test_image = os.path.abspath(os.path.join(result_dir, filename)) fig.savefig(test_image, **savefig_kwargs) close_mpl_figure(fig) # Find path to baseline image if baseline_remote: baseline_image_ref = _download_file(baseline_dir, filename) else: baseline_image_ref = os.path.abspath(os.path.join(os.path.dirname(item.fspath.strpath), baseline_dir, filename)) if not os.path.exists(baseline_image_ref): pytest.fail("Image file not found for comparison test in: " "\n\t{baseline_dir}" "\n(This is expected for new tests.)\nGenerated Image: " "\n\t{test}".format(baseline_dir=baseline_dir, test=test_image), pytrace=False) # distutils may put the baseline images in non-accessible places, # copy to our tmpdir to be sure to keep them in case of failure baseline_image = os.path.abspath(os.path.join(result_dir, 'baseline-' + filename)) shutil.copyfile(baseline_image_ref, baseline_image) > msg = compare_images(baseline_image, test_image, tol=tolerance) ..\Anaconda3\envs\pygmt\lib\site-packages\pytest_mpl\plugin.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:426: in compare_images rms = calculate_rms(expectedImage, actualImage) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ expectedImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) actualImage = array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], ...[255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=int16) def calculate_rms(expectedImage, actualImage): "Calculate the per-pixel errors, then compute the root mean square error." if expectedImage.shape != actualImage.shape: raise ImageComparisonFailure( "Image sizes do not match expected size: {} " > "actual size {}".format(expectedImage.shape, actualImage.shape)) E matplotlib.testing.exceptions.ImageComparisonFailure: Image sizes do not match expected size: (908, 3225, 3) actual size (905, 3234, 3) ..\Anaconda3\envs\pygmt\lib\site-packages\matplotlib\testing\compare.py:356: ImageComparisonFailure _______________________ test_surface_with_outfile_param _______________________ def test_surface_with_outfile_param(): """ Run surface with the -Goutputfile.nc parameter """ ship_data = load_sample_bathymetry() data = ship_data.values # convert pandas.DataFrame to numpy.ndarray try: output = surface( data=data, spacing="5m", region="245/255/20/30", outfile=TEMP_GRID ) assert output is None # check that output is None since outfile is set assert os.path.exists(path=TEMP_GRID) # check that outfile exists at path grid = xr.open_dataset(TEMP_GRID) assert isinstance(grid, xr.Dataset) # check that netcdf grid loaded properly finally: > os.remove(path=TEMP_GRID) E PermissionError: [WinError 32] ��һ����������ʹ�ô��ļ��������޷����ʡ�: 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\data\\tmp_grid.nc' ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py:96: PermissionError _________________________ test_surface_short_aliases __________________________ def test_surface_short_aliases(): """ Run surface using short aliases -I for spacing, -R for region, -G for outfile """ ship_data = load_sample_bathymetry() data = ship_data.values # convert pandas.DataFrame to numpy.ndarray try: output = surface(data=data, I="5m", R="245/255/20/30", G=TEMP_GRID) assert output is None # check that output is None since outfile is set assert os.path.exists(path=TEMP_GRID) # check that outfile exists at path grid = xr.open_dataset(TEMP_GRID) assert isinstance(grid, xr.Dataset) # check that netcdf grid loaded properly finally: > os.remove(path=TEMP_GRID) E PermissionError: [WinError 32] ��һ����������ʹ�ô��ļ��������޷����ʡ�: 'C:\\Users\\seisman\\Anaconda3\\envs\\pygmt\\lib\\site-packages\\pygmt\\tests\\data\\tmp_grid.nc' ..\Anaconda3\envs\pygmt\lib\site-packages\pygmt\tests\test_surface.py:113: PermissionError ============================== warnings summary =============================== tests/test_datasets.py::test_japan_quakes C:\Users\seisman\Anaconda3\envs\pygmt\lib\site-packages\pygmt\datasets\tutorial.py:28: FutureWarning: read_table is deprecated, use read_csv instead. data = pd.read_table(fname, header=1, sep=r"\s+") -- Docs: https://docs.pytest.org/en/latest/warnings.html ======== 19 failed, 138 passed, 1 skipped, 1 warnings in 68.48 seconds ========