Format notebooks with ruff (#768)

* Format notebooks with ruff

* Update nbconvert & fix title level

* Print notebook diff

* Bump dependencies to match CI

* Format notebooks using pandoc 3.3.1

brew updated to 3.5 (and only has one version)

Author: FlorentinD

doc/modules/ROOT/pages/tutorials/centrality-algorithms.adoc

@@ -34,9 +34,11 @@ connection to the database.
 
 [source, python, role=no-test]
 ----
-from graphdatascience import GraphDataScience
-import pandas as pd
 import os
+
+import pandas as pd
+
+from graphdatascience import GraphDataScience
 ----
 
 [source, python, role=no-test]
@@ -101,8 +103,8 @@ gds.run_cypher(
 
 gds.run_cypher(
     """
-    UNWIND $rels AS rel 
-    MATCH (source:City {node_id: rel.Origin}), (target:City {node_id: rel.Destination}) 
+    UNWIND $rels AS rel
+    MATCH (source:City {node_id: rel.Origin}), (target:City {node_id: rel.Destination})
     CREATE (source)-[:HAS_FLIGHT_TO]->(target)
     """,
     params={"rels": routes_df.to_dict("records")},

doc/modules/ROOT/pages/tutorials/community-detection.adoc

@@ -34,9 +34,11 @@ connection to the database.
 
 [source, python, role=no-test]
 ----
-from graphdatascience import GraphDataScience
-import pandas as pd
 import os
+
+import pandas as pd
+
+from graphdatascience import GraphDataScience
 ----
 
 [source, python, role=no-test]
@@ -114,8 +116,8 @@ gds.run_cypher(
 
 gds.run_cypher(
     """
-    UNWIND $rels AS rel 
-    MATCH (source:Subreddit {name: rel.SOURCE_SUBREDDIT}), (target:Subreddit {name: rel.TARGET_SUBREDDIT}) 
+    UNWIND $rels AS rel
+    MATCH (source:Subreddit {name: rel.SOURCE_SUBREDDIT}), (target:Subreddit {name: rel.TARGET_SUBREDDIT})
     CREATE (source)-[:HYPERLINKED_TO]->(target)
     """,
     params={"rels": relationship_df.to_dict("records")},
@@ -232,7 +234,7 @@ We can also check that the property was written by the below command.
 ----
 gds.run_cypher(
     """
-    MATCH (n) WHERE 'louvainCommunityId' IN keys(n) 
+    MATCH (n) WHERE 'louvainCommunityId' IN keys(n)
     RETURN n.name, n.louvainCommunityId LIMIT 10
     """
 )

doc/modules/ROOT/pages/tutorials/fastrp-and-knn.adoc

@@ -55,6 +55,7 @@ our GDS client connection to the database.
 [source, python, role=no-test]
 ----
 import os
+
 from graphdatascience import GraphDataScience
 
 # Get Neo4j DB URI and credentials from environment if applicable

doc/modules/ROOT/pages/tutorials/gds-sessions-self-managed.adoc

@@ -34,6 +34,7 @@ version `+1.12a1+` or later.
 [source, python, role=no-test]
 ----
 from datetime import timedelta
+
 %pip install "graphdatascience>=1.12a1"
 ----
 
@@ -50,7 +51,8 @@ is the main entry point for managing GDS Sessions.
 [source, python, role=no-test]
 ----
 import os
-from graphdatascience.session import GdsSessions, AuraAPICredentials
+
+from graphdatascience.session import AuraAPICredentials, GdsSessions
 
 client_id = os.environ["AURA_API_CLIENT_ID"]
 client_secret = os.environ["AURA_API_CLIENT_SECRET"]
@@ -83,11 +85,13 @@ delete the session ourselves.
 [source, python, role=no-test]
 ----
 import os
-from graphdatascience.session import DbmsConnectionInfo, AlgorithmCategory, CloudLocation
-from datetime import timedelta
+
+from graphdatascience.session import AlgorithmCategory, CloudLocation, DbmsConnectionInfo
 
 # Identify the Neo4j DBMS
-db_connection = DbmsConnectionInfo(uri=os.environ["NEO4J_URI"], username=os.environ["NEO4J_USER"], password=os.environ["NEO4J_PASSWORD"])
+db_connection = DbmsConnectionInfo(
+    uri=os.environ["NEO4J_URI"], username=os.environ["NEO4J_USER"], password=os.environ["NEO4J_PASSWORD"]
+)
 # Specify where to create the GDS session
 cloud_location = CloudLocation(provider="gcp", region="europe-west1")
 

doc/modules/ROOT/pages/tutorials/gds-sessions.adoc

@@ -50,7 +50,8 @@ is the main entry point for managing GDS Sessions.
 [source, python, role=no-test]
 ----
 import os
-from graphdatascience.session import GdsSessions, AuraAPICredentials
+
+from graphdatascience.session import AuraAPICredentials, GdsSessions
 
 client_id = os.environ["AURA_API_CLIENT_ID"]
 client_secret = os.environ["AURA_API_CLIENT_SECRET"]
@@ -84,10 +85,13 @@ delete the session ourselves.
 ----
 import os
 from datetime import timedelta
-from graphdatascience.session import DbmsConnectionInfo, AlgorithmCategory
+
+from graphdatascience.session import AlgorithmCategory, DbmsConnectionInfo
 
 # Identify the AuraDB instance
-db_connection = DbmsConnectionInfo(uri=os.environ["AURA_DB_ADDRESS"], username=os.environ["AURA_DB_USER"], password=os.environ["AURA_DB_PW"])
+db_connection = DbmsConnectionInfo(
+    uri=os.environ["AURA_DB_ADDRESS"], username=os.environ["AURA_DB_USER"], password=os.environ["AURA_DB_PW"]
+)
 # Create a GDS session!
 memory = sessions.estimate(
     node_count=20,

doc/modules/ROOT/pages/tutorials/heterogeneous-node-classification-with-hashgnn.adoc

@@ -44,6 +44,7 @@ connection to the database.
 ----
 # Import our dependencies
 import os
+
 from graphdatascience import GraphDataScience
 ----
 

doc/modules/ROOT/pages/tutorials/import-sample-export-gnn.adoc

@@ -57,15 +57,16 @@ connection to the database.
 [source, python, role=no-test]
 ----
 import os
-import pandas as pd
-from graphdatascience import GraphDataScience
+import random
+
+import numpy as np
 import torch
-from torch_geometric.data import Data
 import torch.nn.functional as F
+from torch_geometric.data import Data
 from torch_geometric.nn import GCNConv
 from torch_geometric.transforms import RandomNodeSplit
-import random
-import numpy as np
+
+from graphdatascience import GraphDataScience
 ----
 
 [source, python, role=no-test]

doc/modules/ROOT/pages/tutorials/kge-predict-transe-pyg-train.adoc

@@ -48,15 +48,17 @@ connection to the database.
 
 [source, python, role=no-test]
 ----
+import collections
 import os
-from graphdatascience import GraphDataScience
+
+import pandas as pd
 import torch
 import torch.optim as optim
 from torch_geometric.data import Data, download_url
 from torch_geometric.nn import TransE
-import collections
 from tqdm import tqdm
-import pandas as pd
+
+from graphdatascience import GraphDataScience
 ----
 
 [source, python, role=no-test]

doc/modules/ROOT/pages/tutorials/load-data-via-graph-construction.adoc

@@ -33,6 +33,7 @@ the `+graphdatascience+` package and import the client class.
 [source, python, role=no-test]
 ----
 import os
+
 from graphdatascience import GraphDataScience
 ----
 

doc/modules/ROOT/pages/tutorials/ml-pipelines-node-classification.adoc

@@ -37,6 +37,7 @@ install the `+graphdatascience+` package and import the client class.
 [source, python, role=no-test]
 ----
 import os
+
 from graphdatascience import GraphDataScience
 ----