Remove `pytest-lazy-fixture`

tests/test_analyze.py

@@ -28,80 +28,53 @@ def full_statistics():
     return MdUtils(file_name="").read_md_file(str(FIXTURES / "analyze" / "stats"))
 
 
-@pytest.mark.parametrize(
-    "im_paths, expected_summary",
-    (
-        (
-            [
-                "tests/data/training/training_dataset/images/0a34e13a-4ab0-4a91-8d7c-b1d8fee32628.png",
-                "tests/data/training/training_dataset/images/0a70e14f-feda-4607-989c-36cf581ddff5.png",
-                "tests/data/training/training_dataset/images/0a576062-303c-4893-a729-c09c92865d31.png",
-                "tests/data/training/training_dataset/images/0b2457c8-81f1-4600-84d9-f8bf2822a991.png",
-                "tests/data/training/training_dataset/images/fb3edb59-3678-49f8-8e16-8e32e3b0f051.png",
-                "tests/data/training/training_dataset/images/fe498de2-ece4-4fbe-8b53-edfce1b820f0.png",
-            ],
-            pytest.lazy_fixture("image_statistics"),
-        ),
-    ),
-)
-def test_display_image_statistics(im_paths, expected_summary, tmp_path):
+def test_display_image_statistics(image_statistics, tmp_path):
     stats = Statistics(filename=tmp_path)
-    stats.create_image_statistics(images=im_paths)
-    assert stats.document.get_md_text() == expected_summary
-
-
-@pytest.mark.parametrize(
-    "texts, expected_summary",
-    (
-        (
-            [
-                "Teklia’s expertise is to develop document analysis\nand processing solutions using, among other things,\nOCR technology.",
-                "Our software combines image analysis, printed and\nhandwritten text recognition, text segmentation with\na document classification and indexation system.",
-                "Our objective is to deliver to our clients an automated\ndocument processing tool easy-to-use and adapted\nto their needs.",
-                "With the same state of mind, we developed additional solutions to\nenhance both security and business-process.",
-            ],
-            pytest.lazy_fixture("labels_statistics"),
-        ),
-    ),
-)
-def test_display_label_statistics(texts, expected_summary, tmp_path):
+    stats.create_image_statistics(
+        images=[
+            "tests/data/training/training_dataset/images/0a34e13a-4ab0-4a91-8d7c-b1d8fee32628.png",
+            "tests/data/training/training_dataset/images/0a70e14f-feda-4607-989c-36cf581ddff5.png",
+            "tests/data/training/training_dataset/images/0a576062-303c-4893-a729-c09c92865d31.png",
+            "tests/data/training/training_dataset/images/0b2457c8-81f1-4600-84d9-f8bf2822a991.png",
+            "tests/data/training/training_dataset/images/fb3edb59-3678-49f8-8e16-8e32e3b0f051.png",
+            "tests/data/training/training_dataset/images/fe498de2-ece4-4fbe-8b53-edfce1b820f0.png",
+        ]
+    )
+    assert stats.document.get_md_text() == image_statistics
+
+
+def test_display_label_statistics(labels_statistics, tmp_path):
     filename = tmp_path / "labels.md"
     stats = Statistics(filename=str(filename))
-    stats.create_label_statistics(labels=texts)
-    assert stats.document.get_md_text() == expected_summary
-
-
-@pytest.mark.parametrize(
-    "texts, expected_summary",
-    (
-        (
-            [
-                "ⓈDayon ⒻFernand Ⓐ6\nⓈDayen ⒻMaurice Ⓐ2\nⓈTottelier ⒻJean Baptiste Ⓐ59",
-                "ⓈPeryro ⒻEtienne Ⓐ33\nⓈJeannot ⒻCaroline Ⓐ24\nⓈMouline ⒻPierre Ⓐ32",
-            ],
-            pytest.lazy_fixture("ner_statistics"),
-        ),
-    ),
-)
-def test_display_ner_statistics(texts, expected_summary, tmp_path):
+    stats.create_label_statistics(
+        labels=[
+            "Teklia’s expertise is to develop document analysis\nand processing solutions using, among other things,\nOCR technology.",
+            "Our software combines image analysis, printed and\nhandwritten text recognition, text segmentation with\na document classification and indexation system.",
+            "Our objective is to deliver to our clients an automated\ndocument processing tool easy-to-use and adapted\nto their needs.",
+            "With the same state of mind, we developed additional solutions to\nenhance both security and business-process.",
+        ]
+    )
+    assert stats.document.get_md_text() == labels_statistics
+
+
+def test_display_ner_statistics(ner_statistics, tmp_path):
     tokens = read_yaml(FIXTURES / "training" / "training_dataset" / "tokens.yaml")
     stats = Statistics(filename=tmp_path)
-    stats.create_ner_statistics(labels=texts, ner_tokens=tokens)
-    assert stats.document.get_md_text() == expected_summary
-
-
-@pytest.mark.parametrize(
-    "labels, tokens, expected_summary",
-    (
-        (
-            FIXTURES / "training" / "training_dataset" / "labels.json",
-            FIXTURES / "training" / "training_dataset" / "tokens.yaml",
-            pytest.lazy_fixture("full_statistics"),
-        ),
-    ),
-)
-def test_run(labels, tokens, expected_summary, tmp_path):
+    stats.create_ner_statistics(
+        labels=[
+            "ⓈDayon ⒻFernand Ⓐ6\nⓈDayen ⒻMaurice Ⓐ2\nⓈTottelier ⒻJean Baptiste Ⓐ59",
+            "ⓈPeryro ⒻEtienne Ⓐ33\nⓈJeannot ⒻCaroline Ⓐ24\nⓈMouline ⒻPierre Ⓐ32",
+        ],
+        ner_tokens=tokens,
+    )
+    assert stats.document.get_md_text() == ner_statistics
+
+
+def test_run(full_statistics, tmp_path):
     output_file = tmp_path / "stats.md"
     stats = Statistics(filename=str(output_file))
-    stats.run(labels=read_json(labels), tokens=read_yaml(tokens))
-    assert output_file.read_text() == expected_summary
+    stats.run(
+        labels=read_json(FIXTURES / "training" / "training_dataset" / "labels.json"),
+        tokens=read_yaml(FIXTURES / "training" / "training_dataset" / "tokens.yaml"),
+    )
+    assert output_file.read_text() == full_statistics

tox.ini

@@ -8,9 +8,7 @@ description = run the tests with pytest
 package = wheel
 wheel_build_env = .pkg
 deps =
-    # TODO: Remove this once https://gitlab.teklia.com/atr/dan/-/issues/258 is done
-    pytest<8,>=6
-    pytest-lazy-fixture
+    pytest>=6
     pytest-responses
     -rrequirements.txt
 commands =