style: format code with Black

This commit fixes the style issues introduced in b37a211 according to the output
from Black.

Details: #23

Author: deepsource-autofix[bot]

codeinsight_sdk/experimental.py

@@ -24,9 +24,8 @@ def get_project_vulnerabilities(
         """
         # First we get the inventory for the project
         # Then we iterate over the inventory items and calling the inventory vulnerability endpoint for each item with a vulnerability
-        inventory = self.client.projects.get_inventory(project_id,
-            skip_vulnerabilities=False,
-            include_files=True
+        inventory = self.client.projects.get_inventory(
+            project_id, skip_vulnerabilities=False, include_files=True
         )
 
         # Iterate over the inventory items, find which have vulnerabilities.
@@ -38,6 +37,6 @@ def get_project_vulnerabilities(
             # If the item no no vulnerabilities, ignore it
             if len(item.vulnerabilities) == 0:
                 continue
-            #TODO: Summarize the vulnerabilities?
+            # TODO: Summarize the vulnerabilities?
             vuln_items.append(item)
         return vuln_items

examples/example-9-dataframe.py

@@ -3,9 +3,9 @@
 from codeinsight_sdk.client import CodeInsightClient
 
 print("Example 9: Working with Pandas DataFrames")
-PROJECT_ID = 1 # Update this to your project ID
+PROJECT_ID = 1  # Update this to your project ID
 
-client = CodeInsightClient(shared.BASE_URL, shared.AUTH_TOKEN,experimental=True)
+client = CodeInsightClient(shared.BASE_URL, shared.AUTH_TOKEN, experimental=True)
 
 # Get all the project vulnerabilities.
 # This will return a list of Vulnerability objects.
@@ -16,17 +16,17 @@
 
 # Now "explode" list of vulnerabilities into separate rows.
 # This will create a new row for each vulnerability.
-df = df.explode('vulnerabilities', ignore_index=True)
+df = df.explode("vulnerabilities", ignore_index=True)
 
 # Next we convert the vulnerabilities column into another DataFrame
 # and then merge it back into the original DataFrame so that we can
 # access the vulnerability properties as columns.
-df_vul = pd.json_normalize(df['vulnerabilities'])
+df_vul = pd.json_normalize(df["vulnerabilities"])
 df = df.merge(df_vul, left_index=True, right_index=True)
 
 # Optionally we can drop the original vulnerabilities column
 # since we no longer need it. You can also drop other columns
-df.drop(columns=['vulnerabilities'],inplace=True)
+df.drop(columns=["vulnerabilities"], inplace=True)
 
 # Finally we write the output to excel
-df.to_excel('example-9-output.xlsx', index=False)
+df.to_excel("example-9-output.xlsx", index=False)

tests/test_experimental.py

@@ -59,4 +59,6 @@ def test_get_project_vulnerabilities(self, client):
             )
         assert len(vulnerable_items) == 1
         assert vulnerable_items[0].vulnerabilities is not None
-        assert (vulnerable_items[0].vulnerabilities[1].vulnerabilityName == "CVE-987-65432")
+        assert (
+            vulnerable_items[0].vulnerabilities[1].vulnerabilityName == "CVE-987-65432"
+        )