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authordeepsource-autofix[bot] <62050782+deepsource-autofix[bot]@users.noreply.github.com>2024-08-23 10:47:15 +0000
committerGitHub <noreply@github.com>2024-08-23 10:47:15 +0000
commitc3e04ab0415ddeedfa1a304296aa0e34fb5f2a1f (patch)
treecebd073fce0b524ebda4b7adbf3d916d6f5213aa /tests
parent3ff2182b8256594dfbfe7d8c7480d2ee70067ce5 (diff)
downloadde-project-bentley-c3e04ab0415ddeedfa1a304296aa0e34fb5f2a1f.tar.gz
de-project-bentley-c3e04ab0415ddeedfa1a304296aa0e34fb5f2a1f.zip
style: format code with Autopep8, Black and Ruff Formatter
This commit fixes the style issues introduced in 3ff2182 according to the output from Autopep8, Black and Ruff Formatter. Details: https://github.com/ajschofield/de-project-bentley/pull/93
Diffstat (limited to 'tests')
-rw-r--r--tests/test_fact_sales_order.py16
1 files changed, 9 insertions, 7 deletions
diff --git a/tests/test_fact_sales_order.py b/tests/test_fact_sales_order.py
index c4fc9f4..dad245e 100644
--- a/tests/test_fact_sales_order.py
+++ b/tests/test_fact_sales_order.py
@@ -1,13 +1,13 @@
-<<<<<<< Updated upstream
+import pandas as pd
+from fact_sales_order import create_dim_design, create_dim_staff, create_dim_currency
from src.fact_sales_order import (
create_dim_design,
create_dim_staff,
create_dim_currency,
)
-=======
-from fact_sales_order import create_dim_design, create_dim_staff, create_dim_currency
->>>>>>> Stashed changes
-import pandas as pd
+<< << << < Updated upstream
+== == == =
+>>>>>> > Stashed changes
class TestCreateDimDesign:
@@ -60,7 +60,8 @@ class TestCreateDimStaff:
"email_address": ["Hello", "Bye"],
"department_id": ["Hello", "Bye"],
}
- test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)}
+ test_df = {"staff": pd.DataFrame(
+ data=d), "department": pd.DataFrame(data=d2)}
result = create_dim_staff(test_df)
assert isinstance(result, pd.DataFrame)
@@ -77,7 +78,8 @@ class TestCreateDimStaff:
"email_address": ["Hello", "Bye"],
"department_id": ["Hello", "Bye"],
}
- test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)}
+ test_df = {"staff": pd.DataFrame(
+ data=d), "department": pd.DataFrame(data=d2)}
result = create_dim_staff(test_df)
expected_d = {
"staff_id": ["Hello", "Bye"],
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