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Merge pull request #310 from uramirez8707/add_test
Fix time_average for instantaneous output
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,55 @@ | ||
| # =========================================================================== | ||
| # http://www.gnu.org/software/autoconf-archive/ax_python_module.html | ||
| # =========================================================================== | ||
| # | ||
| # SYNOPSIS | ||
| # | ||
| # AX_PYTHON_MODULE(modname[, fatal, python]) | ||
| # | ||
| # DESCRIPTION | ||
| # | ||
| # Checks for Python module. | ||
| # | ||
| # If fatal is non-empty then absence of a module will trigger an error. | ||
| # The third parameter can either be "python" for Python 2 or "python3" for | ||
| # Python 3; defaults to Python 2. | ||
| # | ||
| # LICENSE | ||
| # | ||
| # Copyright (c) 2008 Andrew Collier | ||
| # | ||
| # Copying and distribution of this file, with or without modification, are | ||
| # permitted in any medium without royalty provided the copyright notice | ||
| # and this notice are preserved. This file is offered as-is, without any | ||
| # warranty. | ||
|
|
||
| #serial 8 | ||
|
|
||
| AU_ALIAS([AC_PYTHON_MODULE], [AX_PYTHON_MODULE]) | ||
| AC_DEFUN([AX_PYTHON_MODULE],[ | ||
| if test -z "$3"; | ||
| then | ||
| PYTHON_TEST="python2" | ||
| else | ||
| PYTHON_TEST="$3" | ||
| fi | ||
| PYTHON_NAME=`basename $PYTHON_TEST` | ||
| AC_MSG_CHECKING($PYTHON_NAME module: $1) | ||
| $PYTHON_TEST -c "import $1" 2>/dev/null | ||
| if test $? -eq 0; | ||
| then | ||
| AC_MSG_RESULT(yes) | ||
| eval AS_TR_CPP(HAVE_PYMOD_$1)=yes | ||
| else | ||
| AC_MSG_RESULT(no) | ||
| eval AS_TR_CPP(HAVE_PYMOD_$1)=no | ||
| # | ||
| if test -n "$2" | ||
| then | ||
| AC_MSG_ERROR(failed to find required module $1) | ||
| exit 1 | ||
| fi | ||
| fi | ||
| ]) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| #!/usr/bin/env bats | ||
|
|
||
| #*********************************************************************** | ||
| # GNU Lesser General Public License | ||
| # | ||
| # This file is part of the GFDL FRE NetCDF tools package (FRE-NCTools). | ||
| # | ||
| # FRE-NCTools is free software: you can redistribute it and/or modify it under | ||
| # the terms of the GNU Lesser General Public License as published by | ||
| # the Free Software Foundation, either version 3 of the License, or (at | ||
| # your option) any later version. | ||
| # | ||
| # FRE-NCTools is distributed in the hope that it will be useful, but WITHOUT | ||
| # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | ||
| # FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | ||
| # for more details. | ||
| # | ||
| # You should have received a copy of the GNU Lesser General Public | ||
| # License along with FRE-NCTools. If not, see | ||
| # <http://www.gnu.org/licenses/>. | ||
| #*********************************************************************** | ||
|
|
||
| load test_utils | ||
|
|
||
| @test "Test timavg" { | ||
| if [ -z "$skipflag" ]; then | ||
| cat <<_EOF > instantaneous.nml | ||
| &input | ||
| file_names(1) = 'timavg_instantaneous_in.nc' , | ||
| file_name_out = 'timavg_instantaneous_out.nc' , | ||
| &end | ||
| _EOF | ||
|
|
||
| cat <<_EOF > standard.nml | ||
| &input | ||
| file_names(1) = 'timavg_standard_in.nc' , | ||
| file_name_out = 'timavg_standard_out.nc' , | ||
| &end | ||
| _EOF | ||
|
|
||
| python3 $top_srcdir/t/test_time_avg.py | ||
| fi | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,101 @@ | ||
| #!/usr/bin/env python3 | ||
|
|
||
| import xarray as xr | ||
| import numpy as np | ||
| import os | ||
|
|
||
| class TestTimeAvg: | ||
| def __init__(self, Test_case): | ||
| self.Test_case = Test_case | ||
| if self.Test_case == 1: | ||
| self.In_file = "timavg_instantaneous_in.nc" | ||
| self.Out_file = "timavg_instantaneous_out.nc" | ||
| self.Namelist_file = "instantaneous.nml" | ||
| self.Error_msg = "timavg with instantaneous input" | ||
| elif self.Test_case == 2: | ||
| self.In_file = "timavg_standard_in.nc" | ||
| self.Out_file = "timavg_standard_out.nc" | ||
| self.Namelist_file = "standard.nml" | ||
| self.Error_msg = "timavg with standard input" | ||
|
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|
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| def create_instantaneous(self): | ||
| Time_attrs = {"units": "days since 2000-01-01", "axis": "T", "calendar_type": "JULIAN", "calendar": "julian"} | ||
| ds1 = xr.Dataset( | ||
| data_vars={ | ||
| ## This is backwards #FORTRAN4LYFE | ||
| "a": (("Time", "y", "x"), self.a), | ||
| "Time": (("Time", self.time_data, Time_attrs)) | ||
| }, | ||
| coords={ | ||
| "x": np.arange(self.nx)*1.0, | ||
| "y": np.arange(self.ny)*1.0, | ||
| }, | ||
| ) | ||
| ds1.to_netcdf(self.In_file, unlimited_dims="Time") | ||
|
|
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| def create_standard(self): | ||
| Time_attrs = {"units": "days since 2000-01-01", "axis": "T", "calendar_type": "JULIAN", "calendar": "julian", | ||
| "bounds": "time_bnds"} | ||
| ds1 = xr.Dataset( | ||
| data_vars={ | ||
| ## This is backwards #FORTRAN4LYFE | ||
| "a": (("Time", "y", "x"), self.a), | ||
| "Time": (("Time", self.time_data, Time_attrs)), | ||
| "time_bnds": (("Time", "nv"), self.time_bnds_data) | ||
| }, | ||
| coords={ | ||
| "x": np.arange(self.nx)*1.0, | ||
| "y": np.arange(self.ny)*1.0, | ||
| "nv": np.arange(2)*1.0+1, | ||
| }, | ||
| ) | ||
| ds1.to_netcdf(self.In_file, unlimited_dims="Time") | ||
|
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||
|
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| def create_input(self): | ||
| self.nx = 96 | ||
| self.ny = 96 | ||
| self.nt = 12 | ||
| self.time_data = np.arange(self.nt)*1.0+1 | ||
|
|
||
| self.a = np.zeros([self.nt, self.ny, self.nx]) | ||
| for k in range(0,self.nt): | ||
| for j in range(0,self.ny): | ||
| for i in range(0,self.nx): | ||
| self.a[k, j, i] = (i+1.)*1000 + (j+1.)*10 + (k+1.)/100. | ||
|
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| if self.Test_case == 1: | ||
| self.create_instantaneous() | ||
| elif self.Test_case == 2: | ||
| self.time_bnds_data = np.zeros([self.nt, 2]) | ||
| self.time_bnds_data[:,1] = self.time_data[0:] | ||
| self.time_bnds_data[1:,0] = self.time_data[0:-1] | ||
| self.create_standard() | ||
|
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||
|
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| def run_test(self): | ||
| exit_code = os.system("TAVG.exe < " + self.Namelist_file) | ||
| if exit_code != 0 : | ||
| raise Exception(self.Error_msg + ":: Failed to complete") | ||
|
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||
|
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| def check_output(self): | ||
| out_file = xr.open_dataset(self.Out_file) | ||
| if not (out_file.a.values == np.average(self.a, axis=0)).all(): | ||
| raise Exception(self.Error_msg + ":: answers were not the expected result!") | ||
|
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|
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| # Test time_average when the input is instantaneous (so no time bounds) | ||
| Test_Instantaneous = 1 | ||
| test_class = TestTimeAvg(Test_Instantaneous) | ||
| test_class.create_input() | ||
| test_class.run_test() | ||
| test_class.check_output() | ||
|
|
||
| # Test time_average when the input is standard (with time_bounds, no average_* variables) | ||
| Test_Standard = 2 | ||
| test_class = TestTimeAvg(Test_Standard) | ||
| test_class.create_input() | ||
| test_class.run_test() | ||
| test_class.check_output() |