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# -*- coding: utf-8 -*- |
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# vim:fileencoding=utf-8 |
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# |
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# Copyright (c) 2018 Stefan Bender |
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# |
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# This module is part of sciapy. |
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# sciapy is free software: you can redistribute it or modify |
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# it under the terms of the GNU General Public License as published |
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# by the Free Software Foundation, version 2. |
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# See accompanying LICENSE file or http://www.gnu.org/licenses/gpl-2.0.html. |
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"""SCIAMACHY level 2 tests |
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""" |
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import os |
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import numpy as np |
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import pytest |
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import xarray as xr |
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import sciapy.level2 |
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def test_module_structure(): |
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assert sciapy.level2 |
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assert sciapy.level2.binning |
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assert sciapy.level2.binning.bin_lat_timeavg |
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assert sciapy.level2.density |
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assert sciapy.level2.density.scia_densities |
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@pytest.fixture(scope="module") |
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def ds(): |
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alts = np.r_[80:121:20.] |
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lats = np.r_[-85:86:10.] |
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lons = np.r_[15:186:10.] |
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ts = np.linspace(3686, 3686.5, 2) |
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lons_2d = np.vstack([lons + i * 180. for i in range(ts.size)]) |
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data = np.arange(ts.size * lats.size * alts.size).reshape( |
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(ts.size, lats.size, alts.size) |
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) |
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ds = xr.Dataset( |
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{ |
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"data": ( |
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["time", "latitude", "altitude"], |
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data, |
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{"units": "fir mfur μftn$^{-2}$ fth"} |
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), |
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"longitude": ( |
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["time", "latitude"], |
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lons_2d, |
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{"units": "degrees_east"} |
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), |
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}, |
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coords={ |
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"latitude": lats, |
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"altitude": alts, |
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"time": ( |
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["time"], ts, {"units": "days since 2000-01-01 00:00:00+00:00"} |
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), |
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}, |
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) |
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return ds |
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def test__bin_stats(ds): |
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from sciapy.level2.binning import _bin_stats |
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_ds = ds.copy() |
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_ds["latitude"] = xr.zeros_like(_ds.latitude) |
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# binning result |
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avg_aw = _bin_stats( |
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_ds, |
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binvar="latitude", tvar="time", |
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area_weighted=True, |
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) |
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avg_nw = _bin_stats( |
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_ds, |
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binvar="latitude", tvar="time", |
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area_weighted=False, |
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) |
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xr.testing.assert_allclose(avg_nw, avg_aw) |
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# non-weighted mean using standard functions |
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dims = ("latitude", "time") |
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stacked = "__stacked__" |
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_ds = _ds.stack(**{stacked: dims}) |
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ds_avg = _ds.mean(dim=stacked) |
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ds_cnt = _ds.count(dim=stacked) |
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ds_std = _ds.std(dim=stacked, ddof=1) |
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ds_std = ds_std.rename({v: v + "_std" for v in ds_std.data_vars}) |
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ds_cnt = ds_cnt.rename({v: v + "_cnt" for v in ds_cnt.data_vars}) |
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avg_ds = xr.merge([ds_avg, ds_std, ds_cnt]) |
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# Re-create the sum of squared weights |
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_ws = xr.ones_like(_ds.latitude, dtype=float) |
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_ws /= _ws.sum(dim=stacked) |
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avg_ds["wsqsum"] = (_ws**2).sum(dim=stacked) |
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xr.testing.assert_allclose(avg_nw, avg_ds) |
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def test_binning_aw(ds): |
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from sciapy.level2.binning import bin_lat_timeavg |
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data = ds.data.values |
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lons = ds.longitude.values |
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nts = ds.time.size |
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wgts = np.cos(np.radians(ds.latitude.values)) |
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wgtbs = wgts[::2] + wgts[1::2] |
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# divide each by the bin sum |
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wgts[::2] /= wgtbs |
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wgts[1::2] /= wgtbs |
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data = data * wgts[None, :, None] |
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lons = lons * wgts[None, :] |
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# "manual" result |
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data_avg = 1.0 / nts * (data[:, ::2, :] + data[:, 1::2, :]).sum(axis=0) |
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lons_avg = 1.0 / nts * (lons[:, ::2] + lons[:, 1::2]).sum(axis=0) |
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# binning function result |
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dst_nw = bin_lat_timeavg(ds, bins=np.r_[-90:91:20]) |
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np.testing.assert_allclose(dst_nw.data.values, data_avg) |
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np.testing.assert_allclose(dst_nw.longitude.values, lons_avg) |
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assert dst_nw.data.attrs["units"] == "fir mfur μftn$^{-2}$ fth" |
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assert dst_nw.longitude.attrs["units"] == "degrees_east" |
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def test_binning_nw(ds): |
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from sciapy.level2.binning import bin_lat_timeavg |
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data = ds.data.values |
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lons = ds.longitude.values |
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nts = ds.time.size |
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# "manual" result |
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data_avg = 0.5 / nts * (data[:, ::2, :] + data[:, 1::2, :]).sum(axis=0) |
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lons_avg = 0.5 / nts * (lons[:, ::2] + lons[:, 1::2]).sum(axis=0) |
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# binning function result |
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dst_nw = bin_lat_timeavg(ds, bins=np.r_[-90:91:20], area_weighted=False) |
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np.testing.assert_allclose(dst_nw.data.values, data_avg) |
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np.testing.assert_allclose(dst_nw.longitude.values, lons_avg) |
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assert dst_nw.data.attrs["units"] == "fir mfur μftn$^{-2}$ fth" |
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assert dst_nw.longitude.attrs["units"] == "degrees_east" |
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DATADIR = os.path.join(".", "tests", "data", "l2") |
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IFILE = os.path.join( |
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DATADIR, |
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"000NO_orbit_41454_20100203_Dichten.txt", |
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) |
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def _assert_class_equal(l, r): |
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for _k, _l in l.__dict__.items(): |
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_r = r.__dict__[_k] |
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assert np.all(_l == _r), (_k, _l, _r) |
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View Code Duplication |
@pytest.mark.parametrize( |
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"dirname, version", |
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[["level2_v1.2.3", "1.2.3"], ["foo", None]], |
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) |
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def test_level2_round_trip_nc(tmpdir, dirname, version): |
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from sciapy.level2.density import scia_densities |
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odir = os.path.join(tmpdir, dirname) |
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if not os.path.exists(odir): |
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os.makedirs(odir) |
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obase = os.path.join(odir, os.path.basename(IFILE)) |
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ofnc = obase + ".nc" |
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l2_o = scia_densities(data_ver=version) |
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l2_o.read_from_file(IFILE) |
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l2_o.write_to_netcdf(ofnc) |
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l2_t = scia_densities() |
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l2_t.read_from_netcdf(ofnc) |
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_assert_class_equal(l2_o, l2_t) |
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View Code Duplication |
@pytest.mark.parametrize( |
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"dirname, version", |
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[["level2_v1.2.3", "1.2.3"], ["foo", None]], |
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) |
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def test_level2_round_trip_txt(tmpdir, dirname, version): |
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from sciapy.level2.density import scia_densities |
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odir = os.path.join(tmpdir, dirname) |
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if not os.path.exists(odir): |
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os.makedirs(odir) |
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obase = os.path.join(odir, os.path.basename(IFILE)) |
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oftxt = obase + ".txt" |
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l2_o = scia_densities(data_ver=version) |
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l2_o.read_from_file(IFILE) |
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l2_o.write_to_textfile(oftxt) |
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l2_t = scia_densities() |
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l2_t.read_from_textfile(oftxt) |
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_assert_class_equal(l2_o, l2_t) |
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View Code Duplication |
@pytest.mark.parametrize( |
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"version", |
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["0.1", "0.8", "0.9"], |
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) |
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def test_oldver_round_trip_txt(tmpdir, version): |
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from sciapy.level2.density import scia_densities |
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odir = os.path.join(tmpdir, "level2_v{0}".format(version)) |
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if not os.path.exists(odir): |
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os.makedirs(odir) |
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obase = os.path.join(odir, os.path.basename(IFILE)) |
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oftxt = obase + ".txt" |
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l2_o = scia_densities(data_ver=version) |
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l2_o.read_from_file(IFILE[:-4] + "_v{0}.txt".format(version)) |
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l2_o.write_to_textfile(oftxt) |
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l2_t = scia_densities() |
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l2_t.read_from_textfile(oftxt) |
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_assert_class_equal(l2_o, l2_t) |
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View Code Duplication |
@pytest.mark.parametrize( |
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"version", |
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["0.1", "0.8", "0.9"], |
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) |
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def test_oldver_round_trip_nc(tmpdir, version): |
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from sciapy.level2.density import scia_densities |
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odir = os.path.join(tmpdir, "level2_v{0}".format(version)) |
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if not os.path.exists(odir): |
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os.makedirs(odir) |
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obase = os.path.join(odir, os.path.basename(IFILE)) |
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ofnc = obase + ".nc" |
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l2_o = scia_densities(data_ver=version) |
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l2_o.read_from_file(IFILE[:-4] + "_v{0}.txt".format(version)) |
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l2_o.write_to_netcdf(ofnc) |
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l2_t = scia_densities() |
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l2_t.read_from_netcdf(ofnc) |
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_assert_class_equal(l2_o, l2_t) |
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st-bender /
sciapy
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