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adopt conda-forge
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+13
-13
lines changed

6 files changed

+13
-13
lines changed

.travis.yml

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@@ -49,12 +49,12 @@ install:
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# Customise the testing environment
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# ---------------------------------
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- conda config --add channels scitools
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- conda config --add channels conda-forge
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- if [[ "$TEST_MINIMAL" == true ]]; then
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conda install --quiet --file minimal-conda-requirements.txt;
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else
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if [[ "$TRAVIS_PYTHON_VERSION" == 3* ]]; then
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sed -e '/ecmwf_grib/d' -e '/esmpy/d' -e '/iris_grib/d' -e 's/#.\+$//' conda-requirements.txt | xargs conda install --quiet;
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sed -e '/ecmwf_grib/d' -e '/esmpy/d' -e '/iris-grib/d' -e 's/#.\+$//' conda-requirements.txt | xargs conda install --quiet;
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else
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conda install --quiet --file conda-requirements.txt;
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fi

conda-requirements.txt

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@@ -4,9 +4,9 @@
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# Mandatory dependencies
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biggus
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cartopy
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matplotlib
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netcdf4
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numpy
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matplotlib<2
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netcdf4==1.2.4
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numpy<1.12
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pyke
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udunits2
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cf_units
@@ -19,14 +19,14 @@ mock
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nose
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pep8
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sphinx
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iris_sample_data
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iris-sample-data
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filelock
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imagehash
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requests
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# Optional iris dependencies
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nc_time_axis
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iris_grib
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iris-grib
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esmpy>=7.0
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gdal
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libmo_unpack

lib/iris/tests/results/analysis/weighted_mean_lat.cml

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@@ -21,6 +21,6 @@
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<coord name="lat"/>
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</cellMethod>
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</cellMethods>
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<data dtype="float64" shape="(3,)" state="loaded"/>
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<data dtype="float32" shape="(3,)" state="loaded"/>
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</cube>
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</cubes>

lib/iris/tests/results/analysis/weighted_mean_latlon.cml

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@@ -22,6 +22,6 @@
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<coord name="lon"/>
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</cellMethod>
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</cellMethods>
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<data dtype="float64" shape="()" state="loaded"/>
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<data dtype="float32" shape="()" state="loaded"/>
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</cube>
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</cubes>

lib/iris/tests/results/analysis/weighted_mean_lon.cml

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@@ -21,6 +21,6 @@
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<coord name="lon"/>
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</cellMethod>
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</cellMethods>
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<data dtype="float64" shape="(3,)" state="loaded"/>
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<data dtype="float32" shape="(3,)" state="loaded"/>
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</cube>
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</cubes>

minimal-conda-requirements.txt

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -4,9 +4,9 @@
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# Mandatory dependencies
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biggus
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cartopy
7-
matplotlib
8-
netcdf4
9-
numpy
7+
matplotlib<2
8+
netcdf4==1.2.4
9+
numpy<1.12
1010
pyke
1111
udunits2
1212
cf_units

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