primeiro commit com exercicios de Exercism realizados até esta data

2026-10-17 22:10:27 +01:00
commit 58fccbe27a
708 changed files with 35038 additions and 0 deletions
@@ -0,0 +1,66 @@
+# These tests are auto-generated with test data from:
+# https://github.com/exercism/problem-specifications/tree/main/exercises/etl/canonical-data.json
+# File last updated on 2023-07-19
+
+import unittest
+
+from etl import (
+    transform,
+)
+
+
+class EtlTest(unittest.TestCase):
+    def test_single_letter(self):
+        legacy_data = {1: ["A"]}
+        data = {"a": 1}
+        self.assertEqual(transform(legacy_data), data)
+
+    def test_single_score_with_multiple_letters(self):
+        legacy_data = {1: ["A", "E", "I", "O", "U"]}
+        data = {"a": 1, "e": 1, "i": 1, "o": 1, "u": 1}
+        self.assertEqual(transform(legacy_data), data)
+
+    def test_multiple_scores_with_multiple_letters(self):
+        legacy_data = {1: ["A", "E"], 2: ["D", "G"]}
+        data = {"a": 1, "d": 2, "e": 1, "g": 2}
+        self.assertEqual(transform(legacy_data), data)
+
+    def test_multiple_scores_with_differing_numbers_of_letters(self):
+        legacy_data = {
+            1: ["A", "E", "I", "O", "U", "L", "N", "R", "S", "T"],
+            2: ["D", "G"],
+            3: ["B", "C", "M", "P"],
+            4: ["F", "H", "V", "W", "Y"],
+            5: ["K"],
+            8: ["J", "X"],
+            10: ["Q", "Z"],
+        }
+        data = {
+            "a": 1,
+            "b": 3,
+            "c": 3,
+            "d": 2,
+            "e": 1,
+            "f": 4,
+            "g": 2,
+            "h": 4,
+            "i": 1,
+            "j": 8,
+            "k": 5,
+            "l": 1,
+            "m": 3,
+            "n": 1,
+            "o": 1,
+            "p": 3,
+            "q": 10,
+            "r": 1,
+            "s": 1,
+            "t": 1,
+            "u": 1,
+            "v": 4,
+            "w": 4,
+            "x": 8,
+            "y": 4,
+            "z": 10,
+        }
+        self.assertEqual(transform(legacy_data), data)