Code style

Author: Mats-SX

graphdatascience/procedure_surface/api/catalog/graph_sampling_endpoints.py

@@ -121,7 +121,7 @@ def cnarw(
             The name of the new graph that is stored in the graph catalog.
         start_nodes : list of int, optional
             IDs of the initial set of nodes in the original graph from which the sampling random walks will start.
-	        By default, a single node is chosen uniformly at random.
+                By default, a single node is chosen uniformly at random.
         restart_probability : float, optional
             The probability that a sampling random walk restarts from one of the start nodes.
             Default is 0.1.

graphdatascience/procedure_surface/api/catalog_endpoints.py

@@ -7,10 +7,10 @@
 from graphdatascience.procedure_surface.api.base_result import BaseResult
 from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.catalog.graph_info import GraphInfo, GraphInfoWithDegrees
+from graphdatascience.procedure_surface.api.catalog.graph_sampling_endpoints import GraphSamplingEndpoints
 from graphdatascience.procedure_surface.api.catalog.node_label_endpoints import NodeLabelEndpoints
 from graphdatascience.procedure_surface.api.catalog.node_properties_endpoints import NodePropertiesEndpoints
 from graphdatascience.procedure_surface.api.catalog.relationships_endpoints import RelationshipsEndpoints
-from graphdatascience.procedure_surface.api.catalog.graph_sampling_endpoints import GraphSamplingEndpoints
 
 
 class CatalogEndpoints(ABC):

graphdatascience/procedure_surface/api/centrality/articlerank_endpoints.py

@@ -7,12 +7,10 @@
 
 from graphdatascience.procedure_surface.api.base_result import BaseResult
 from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class ArticleRankEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/articulationpoints_endpoints.py

@@ -5,12 +5,10 @@
 
 from graphdatascience.procedure_surface.api.base_result import BaseResult
 from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class ArticulationPointsEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/betweenness_endpoints.py

@@ -7,12 +7,10 @@
 
 from graphdatascience.procedure_surface.api.base_result import BaseResult
 from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class BetweennessEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/celf_endpoints.py

@@ -5,14 +5,12 @@
 
 from pandas import DataFrame
 
-from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.base_result import BaseResult
+from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class CelfEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/closeness_endpoints.py

@@ -5,14 +5,12 @@
 
 from pandas import DataFrame
 
-from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.base_result import BaseResult
+from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class ClosenessEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/closeness_harmonic_endpoints.py

@@ -5,14 +5,12 @@
 
 from pandas import DataFrame
 
-from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.base_result import BaseResult
+from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class ClosenessHarmonicEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/degree_endpoints.py

@@ -5,14 +5,12 @@
 
 from pandas import DataFrame
 
-from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.base_result import BaseResult
+from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class DegreeEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,

graphdatascience/procedure_surface/api/centrality/eigenvector_endpoints.py

@@ -5,14 +5,12 @@
 
 from pandas import DataFrame
 
-from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
-
 from graphdatascience.procedure_surface.api.base_result import BaseResult
+from graphdatascience.procedure_surface.api.catalog.graph_api import GraphV2
 from graphdatascience.procedure_surface.api.estimation_result import EstimationResult
 
 
 class EigenvectorEndpoints(ABC):
-
     @abstractmethod
     def mutate(
         self,