From 31e9673eef3088f08e3ee6aef8b78abd701ca329 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Sun, 4 Apr 2021 16:05:13 +0200
Subject: Reformat test for CER

---
 tests/test_cer.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 tests/test_cer.py

(limited to 'tests/test_cer.py')

diff --git a/tests/test_cer.py b/tests/test_cer.py
new file mode 100644
index 0000000..30d58b2
--- /dev/null
+++ b/tests/test_cer.py
@@ -0,0 +1,23 @@
+"""Test the CER metric."""
+import torch
+
+from text_recognizer.models.metrics import CharacterErrorRate
+
+
+def test_character_error_rate() -> None:
+    """Test CER computation."""
+    metric = CharacterErrorRate([0, 1])
+    preds = torch.Tensor(
+        [
+            [0, 2, 2, 3, 3, 1],  # error will be 0
+            [0, 2, 1, 1, 1, 1],  # error will be 0.75
+            [0, 2, 2, 4, 4, 1],  # error will be 0.5
+        ]
+    )
+
+    targets = torch.Tensor([[0, 2, 2, 3, 3, 1], [0, 2, 2, 3, 3, 1], [0, 2, 2, 3, 3, 1]])
+    metric(preds, targets)
+    print(metric.compute())
+    assert metric.compute() == float(sum([0, 0.75, 0.5]) / 3)
+
+
-- 
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