🚧 use unique weights file names in tests

victorlin · victorlin · commit b7fc345a7769 · 2024-08-06T15:48:46.000-07:00
diff --git a/tests/functional/filter/cram/subsample-weighted-and-uniform-mix.t b/tests/functional/filter/cram/subsample-weighted-and-uniform-mix.t
@@ -15,7 +15,7 @@ Generate metadata file with 250 rows.
 
 Weight locations A:B as 2:1. This is reflected in target_group_sizes.tsv below.
 
-  $ cat >weights.tsv <<~~
+  $ cat >weights-A2B1.tsv <<~~
   > location	weight
   > A	2
   > B	1
@@ -24,7 +24,7 @@ Weight locations A:B as 2:1. This is reflected in target_group_sizes.tsv below.
   $ ${AUGUR} filter \
   >   --metadata metadata.tsv \
   >   --group-by location \
-  >   --group-by-weights weights.tsv \
+  >   --group-by-weights weights-A2B1.tsv \
   >   --subsample-max-sequences 100 \
   >   --subsample-seed 0 \
   >   --output-group-by-sizes target_group_sizes.tsv \
@@ -37,7 +37,7 @@ Weight locations A:B as 2:1. This is reflected in target_group_sizes.tsv below.
 
 Using 1:1 weights is similarly straightforward, with 50 sequences from each location.
 
-  $ cat >weights.tsv <<~~
+  $ cat >weights-A1B1.tsv <<~~
   > location	weight
   > A	1
   > B	1
@@ -46,7 +46,7 @@ Using 1:1 weights is similarly straightforward, with 50 sequences from each loca
   $ ${AUGUR} filter \
   >   --metadata metadata.tsv \
   >   --group-by location \
-  >   --group-by-weights weights.tsv \
+  >   --group-by-weights weights-A1B1.tsv \
   >   --subsample-max-sequences 100 \
   >   --subsample-seed 0 \
   >   --output-group-by-sizes target_group_sizes.tsv \
@@ -65,7 +65,7 @@ available per location.
   $ ${AUGUR} filter \
   >   --metadata metadata.tsv \
   >   --group-by year location \
-  >   --group-by-weights weights.tsv \
+  >   --group-by-weights weights-A1B1.tsv \
   >   --subsample-max-sequences 100 \
   >   --subsample-seed 0 \
   >   --output-group-by-sizes target_group_sizes.tsv \
@@ -90,7 +90,7 @@ requested 17, so the total number of sequences outputted is lower than requested
   $ ${AUGUR} filter \
   >   --metadata metadata.tsv \
   >   --group-by year location \
-  >   --group-by-weights weights.tsv \
+  >   --group-by-weights weights-A1B1.tsv \
   >   --subsample-max-sequences 100 \
   >   --subsample-seed 0 \
   >   --output-group-by-sizes target_group_sizes.tsv \
