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authordeepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>2024-08-23 10:11:40 +0000
committerGitHub <noreply@github.com>2024-08-23 10:11:40 +0000
commit2231ea89329bd500f7371b7395f5208f7a86c20e (patch)
tree620c86177c81d3a17c0dccf16c2a6890729333e0 /tests/test_transform_lambda.py
parent8e20c5c0f43d0f0c4983c8895396de7f62b7c390 (diff)
downloadde-project-bentley-2231ea89329bd500f7371b7395f5208f7a86c20e.tar.gz
de-project-bentley-2231ea89329bd500f7371b7395f5208f7a86c20e.zip
style: format code with Autopep8, Black and Ruff Formatter
This commit fixes the style issues introduced in 8e20c5c according to the output from Autopep8, Black and Ruff Formatter. Details: https://github.com/ajschofield/de-project-bentley/pull/93
Diffstat (limited to 'tests/test_transform_lambda.py')
-rw-r--r--tests/test_transform_lambda.py16
1 files changed, 12 insertions, 4 deletions
diff --git a/tests/test_transform_lambda.py b/tests/test_transform_lambda.py
index 516f83b..a91da92 100644
--- a/tests/test_transform_lambda.py
+++ b/tests/test_transform_lambda.py
@@ -39,7 +39,12 @@ class TestReadFromS3:
)
print(result)
expected_df = pd.DataFrame(
- np.array([["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"], ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"]]),
+ np.array(
+ [
+ ["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"],
+ ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"],
+ ]
+ ),
columns=["Food_type", "Flavour", "Colour", "last_updated"],
)
assert isinstance(result, dict)
@@ -56,7 +61,12 @@ class TestReadFromS3:
tables, bucket="dummy_buc", client=s3_client
)
expected_foods_df = pd.DataFrame(
- np.array([["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"], ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"]]),
+ np.array(
+ [
+ ["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"],
+ ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"],
+ ]
+ ),
columns=["Food_type", "Flavour", "Colour", "last_updated"],
)
expected_cars_df = pd.DataFrame(
@@ -72,5 +82,3 @@ class TestReadFromS3:
assert list(result.keys()) == tables
assert result["Foods"].eq(expected_foods_df, axis="columns").all(axis=None)
assert result["Cars"].eq(expected_cars_df, axis="columns").all(axis=None)
-
-
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