Fix docstrings to not use new types

Author: FlorentinD

graphdatascience/procedure_surface/api/catalog/node_label_endpoints.py

@@ -82,11 +82,11 @@ def write(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads used for the mutation
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
         Returns
         -------

graphdatascience/procedure_surface/api/catalog/node_properties_endpoints.py

@@ -40,15 +40,15 @@ def stream(
             Whether to include node labels in the stream
         node_labels : list[str]
             Filter by node labels
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
         sudo : bool
             Override memory estimation limits
         log_progress : bool | None, default=None
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
         db_node_properties : list[str] | None, default=None
             Retrieves additional node properties from the database and attaches them to the stream.
@@ -85,17 +85,17 @@ def write(
             If a dictionary is provided, the keys are the property names and the values are the aliases that will be used as the property name in the database.
         node_labels : list[str]
             Filter by node labels
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads used for writing
         sudo : bool
             Override memory estimation limits
         log_progress : bool | None, default=None
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
         Returns
         -------

graphdatascience/procedure_surface/api/catalog/scale_properties_endpoints.py

@@ -53,9 +53,9 @@ def mutate(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
 
         Returns

graphdatascience/procedure_surface/api/centrality/articlerank_endpoints.py

@@ -68,9 +68,9 @@ def mutate(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
@@ -135,9 +135,9 @@ def stats(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
@@ -194,9 +194,9 @@ def stream(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
         relationship_weight_property : str | None, default=None
             The property name that contains weight
@@ -265,9 +265,9 @@ def write(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
@@ -316,7 +316,7 @@ def estimate(
             The relationships types used to select relationships for this algorithm run
         node_labels : list[str]
             The node labels used to select nodes for this algorithm run
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
         relationship_weight_property : str | None, default=None
             The property name that contains weight

graphdatascience/procedure_surface/api/centrality/articulationpoints_endpoints.py

@@ -46,9 +46,9 @@ def mutate(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
 
         Returns
@@ -88,9 +88,9 @@ def stats(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
 
         Returns
@@ -128,9 +128,9 @@ def stream(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
 
         Returns
@@ -176,11 +176,11 @@ def write(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads for writing
 
         Returns
@@ -208,7 +208,7 @@ def estimate(
             The relationship types used to select relationships for this algorithm run.
         node_labels : list[str]
             The node labels used to select nodes for this algorithm run.
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the estimation.
 
         Returns

graphdatascience/procedure_surface/api/centrality/betweenness_endpoints.py

@@ -56,9 +56,9 @@ def mutate(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
@@ -110,9 +110,9 @@ def stats(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
@@ -159,9 +159,9 @@ def stream(
             Whether to log progress
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job
         relationship_weight_property : str | None, default=None
             The property name that contains relationship weights
@@ -217,13 +217,13 @@ def write(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
         relationship_weight_property : str | None, default=None
             Name of the property to be used as weights.
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads during the write phase
 
         Returns
@@ -258,7 +258,7 @@ def estimate(
             The relationship types used to select relationships for this algorithm run
         node_labels : list[str]
             The node labels used to select nodes for this algorithm run
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads
         relationship_weight_property : str | None, default=None
             The property name that contains weight

graphdatascience/procedure_surface/api/centrality/celf_endpoints.py

@@ -101,7 +101,7 @@ def stats(
             Probability of a node being activated by an active neighbour node.
         monte_carlo_simulations : int | None, default=None
             Number of Monte-Carlo simulations.
-        random_seed : Any | None, default=None
+        random_seed : int | None
             Random seed for reproducible results.
         relationship_types : list[str]
             Filter the graph using the given relationship types. Relationships with any of the given types will be included.
@@ -113,9 +113,9 @@ def stats(
             Display progress logging.
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             Number of threads to use for running the algorithm.
-        job_id : Any | None, default=None
+        job_id : str | None
             Identifier for the job.
 
         Returns

graphdatascience/procedure_surface/api/centrality/closeness_endpoints.py

@@ -52,9 +52,9 @@ def mutate(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
 
         Returns
@@ -101,9 +101,9 @@ def stats(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
 
         Returns
@@ -200,11 +200,11 @@ def write(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads used during the write phase.
 
         Returns
@@ -236,7 +236,7 @@ def estimate(
             The relationship types used to select relationships for this algorithm run.
         node_labels : list[str]
             The node labels used to select nodes for this algorithm run.
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
 
         Returns

graphdatascience/procedure_surface/api/centrality/closeness_harmonic_endpoints.py

@@ -48,9 +48,9 @@ def mutate(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
 
         Returns
@@ -95,9 +95,9 @@ def stats(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
 
         Returns
@@ -137,9 +137,9 @@ def stream(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
 
         Returns
@@ -188,11 +188,11 @@ def write(
             Whether to log progress of the algorithm execution
         username : str | None, default=None
             The username to attribute the procedure run to
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
-        job_id : Any | None, default=None
+        job_id : str | None
             An identifier for the job that can be used for monitoring and cancellation
-        write_concurrency : Any | None, default=None
+        write_concurrency : int | None
             The number of concurrent threads during the write phase
 
         Returns
@@ -221,7 +221,7 @@ def estimate(
             The relationship types used to select relationships for this algorithm run.
         node_labels : list[str]
             The node labels used to select nodes for this algorithm run.
-        concurrency : Any | None, default=None
+        concurrency : int | None
             The number of concurrent threads used for the algorithm execution.
 
         Returns