etl: Sync tests and generate them with Tera

exercises/practice/etl/.meta/test_template.tera

@@ -0,0 +1,29 @@
+use std::collections::BTreeMap;
+
+{% for test in cases %}
+#[test]
+#[ignore]
+fn {{ test.description | make_ident }}() {
+    let input = BTreeMap::from(
+      [
+        {% for value, letters in test.input.legacy %}
+        ({{value}}, vec![
+            {% for letter in letters %}
+            '{{letter}}',
+            {% endfor %}
+        ]),
+        {% endfor %}
+      ]
+    );
+
+    let expected = BTreeMap::from(
+      [
+        {% for letter, value in test.expected %}
+        ('{{letter}}', {{ value }}),
+        {% endfor %}
+      ]
+    );
+
+    assert_eq!(expected, etl::transform(&input));
+}
+{% endfor %}

exercises/practice/etl/.meta/tests.toml

@@ -1,3 +1,22 @@
-# This is an auto-generated file. Regular comments will be removed when this
-# file is regenerated. Regenerating will not touch any manually added keys,
-# so comments can be added in a "comment" key.
+# This is an auto-generated file.
+#
+# Regenerating this file via `configlet sync` will:
+# - Recreate every `description` key/value pair
+# - Recreate every `reimplements` key/value pair, where they exist in problem-specifications
+# - Remove any `include = true` key/value pair (an omitted `include` key implies inclusion)
+# - Preserve any other key/value pair
+#
+# As user-added comments (using the # character) will be removed when this file
+# is regenerated, comments can be added via a `comment` key.
+
+[78a7a9f9-4490-4a47-8ee9-5a38bb47d28f]
+description = "single letter"
+
+[60dbd000-451d-44c7-bdbb-97c73ac1f497]
+description = "single score with multiple letters"
+
+[f5c5de0c-301f-4fdd-a0e5-df97d4214f54]
+description = "multiple scores with multiple letters"
+
+[5db8ea89-ecb4-4dcd-902f-2b418cc87b9d]
+description = "multiple scores with differing numbers of letters"

exercises/practice/etl/tests/etl.rs

@@ -1,38 +1,38 @@
 use std::collections::BTreeMap;
 
 #[test]
-fn transform_one_value() {
-    let input = input_from(&[(1, vec!['A'])]);
+fn single_letter() {
+    let input = BTreeMap::from([(1, vec!['A'])]);
 
-    let expected = expected_from(&[('a', 1)]);
+    let expected = BTreeMap::from([('a', 1)]);
 
     assert_eq!(expected, etl::transform(&input));
 }
 
 #[test]
 #[ignore]
-fn transform_more_values() {
-    let input = input_from(&[(1, vec!['A', 'E', 'I', 'O', 'U'])]);
+fn single_score_with_multiple_letters() {
+    let input = BTreeMap::from([(1, vec!['A', 'E', 'I', 'O', 'U'])]);
 
-    let expected = expected_from(&[('a', 1), ('e', 1), ('i', 1), ('o', 1), ('u', 1)]);
+    let expected = BTreeMap::from([('a', 1), ('e', 1), ('i', 1), ('o', 1), ('u', 1)]);
 
     assert_eq!(expected, etl::transform(&input));
 }
 
 #[test]
 #[ignore]
-fn more_keys() {
-    let input = input_from(&[(1, vec!['A', 'E']), (2, vec!['D', 'G'])]);
+fn multiple_scores_with_multiple_letters() {
+    let input = BTreeMap::from([(1, vec!['A', 'E']), (2, vec!['D', 'G'])]);
 
-    let expected = expected_from(&[('a', 1), ('e', 1), ('d', 2), ('g', 2)]);
+    let expected = BTreeMap::from([('a', 1), ('d', 2), ('e', 1), ('g', 2)]);
 
     assert_eq!(expected, etl::transform(&input));
 }
 
 #[test]
 #[ignore]
-fn full_dataset() {
-    let input = input_from(&[
+fn multiple_scores_with_differing_numbers_of_letters() {
+    let input = BTreeMap::from([
         (1, vec!['A', 'E', 'I', 'O', 'U', 'L', 'N', 'R', 'S', 'T']),
         (2, vec!['D', 'G']),
         (3, vec!['B', 'C', 'M', 'P']),
@@ -42,7 +42,7 @@ fn full_dataset() {
         (10, vec!['Q', 'Z']),
     ]);
 
-    let expected = expected_from(&[
+    let expected = BTreeMap::from([
         ('a', 1),
         ('b', 3),
         ('c', 3),
@@ -73,11 +73,3 @@ fn full_dataset() {
 
     assert_eq!(expected, etl::transform(&input));
 }
-
-fn input_from(v: &[(i32, Vec<char>)]) -> BTreeMap<i32, Vec<char>> {
-    v.iter().cloned().collect()
-}
-
-fn expected_from(v: &[(char, i32)]) -> BTreeMap<char, i32> {
-    v.iter().cloned().collect()
-}