From c3e04ab0415ddeedfa1a304296aa0e34fb5f2a1f Mon Sep 17 00:00:00 2001
From: "deepsource-autofix[bot]"
 <62050782+deepsource-autofix[bot]@users.noreply.github.com>
Date: Fri, 23 Aug 2024 10:47:15 +0000
Subject: 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
---
 tests/test_fact_sales_order.py | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

(limited to 'tests/test_fact_sales_order.py')

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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