diff --git a/causy.html b/causy.html index c5b7c23..eda0352 100644 --- a/causy.html +++ b/causy.html @@ -32,6 +32,7 @@

Submodules

  • independence_tests
  • interfaces
  • orientation_tests
    • +
  • serialization
  • utils
    • diff --git a/causy/cli.html b/causy/cli.html index 94c699b..b98fecc 100644 --- a/causy/cli.html +++ b/causy/cli.html @@ -90,138 +90,134 @@

    7import typer 8 9from causy.graph import graph_model_factory - 10from causy.utils import ( - 11 load_pipeline_steps_by_definition, - 12 retrieve_edges, - 13) - 14 - 15app = typer.Typer() - 16 + 10from causy.serialization import serialize_model + 11from causy.utils import ( + 12 load_pipeline_steps_by_definition, + 13 retrieve_edges, + 14) + 15 + 16app = typer.Typer() 17 - 18def load_json(pipeline_file: str): - 19 with open(pipeline_file, "r") as file: - 20 pipeline = json.loads(file.read()) - 21 return pipeline - 22 + 18 + 19def load_json(pipeline_file: str): + 20 with open(pipeline_file, "r") as file: + 21 pipeline = json.loads(file.read()) + 22 return pipeline 23 - 24def load_algorithm(algorithm: str): - 25 st_function = importlib.import_module("causy.algorithms") - 26 st_function = getattr(st_function, algorithm) - 27 if not st_function: - 28 raise ValueError(f"Algorithm {algorithm} not found") - 29 return st_function - 30 + 24 + 25def load_algorithm(algorithm: str): + 26 st_function = importlib.import_module("causy.algorithms") + 27 st_function = getattr(st_function, algorithm) + 28 if not st_function: + 29 raise ValueError(f"Algorithm {algorithm} not found") + 30 return st_function 31 - 32def create_pipeline(pipeline_config: dict): - 33 return load_pipeline_steps_by_definition(pipeline_config["steps"]) - 34 + 32 + 33def create_pipeline(pipeline_config: dict): + 34 return load_pipeline_steps_by_definition(pipeline_config["steps"]) 35 - 36class MyJSONEncoder(JSONEncoder): - 37 def default(self, obj): - 38 return obj.to_dict() - 39 + 36 + 37class MyJSONEncoder(JSONEncoder): + 38 def default(self, obj): + 39 return obj.serialize() 40 - 41@app.command() - 42def eject(algorithm: str, output_file: str): - 43 typer.echo(f"💾 Loading algorithm {algorithm}") - 44 model = load_algorithm(algorithm)() - 45 output = [] - 46 for step in model.pipeline_steps: - 47 output.append(step.serialize()) - 48 - 49 result = {"name": algorithm, "steps": output} + 41 + 42@app.command() + 43def eject(algorithm: str, output_file: str): + 44 typer.echo(f"💾 Loading algorithm {algorithm}") + 45 model = load_algorithm(algorithm)() + 46 result = serialize_model(model, algorithm_name=algorithm) + 47 typer.echo(f"💾 Saving algorithm {algorithm} to {output_file}") + 48 with open(output_file, "w") as file: + 49 file.write(json.dumps(result, indent=4)) 50 - 51 typer.echo(f"💾 Saving algorithm {algorithm} to {output_file}") - 52 with open(output_file, "w") as file: - 53 file.write(json.dumps(result, indent=4)) - 54 - 55 - 56@app.command() - 57def execute( - 58 data_file: str, - 59 pipeline: str = None, - 60 algorithm: str = None, - 61 output_file: str = None, - 62 render_save_file: str = None, - 63 log_level: str = "ERROR", - 64): - 65 logging.basicConfig(level=log_level) - 66 if pipeline: - 67 typer.echo(f"💾 Loading pipeline from {pipeline}") - 68 pipeline_config = load_json(pipeline) - 69 pipeline = create_pipeline(pipeline_config) - 70 model = graph_model_factory(pipeline_steps=pipeline)() - 71 algorithm_reference = { - 72 "type": "pipeline", - 73 "reference": pipeline, # TODO: how to reference pipeline in a way that it can be loaded? - 74 } - 75 elif algorithm: - 76 typer.echo(f"💾 Creating pipeline from algorithm {algorithm}") - 77 model = load_algorithm(algorithm)() - 78 algorithm_reference = { - 79 "type": "default", - 80 "reference": algorithm, - 81 } - 82 - 83 else: - 84 raise ValueError("Either pipeline_file or algorithm must be specified") - 85 - 86 # initialize from json - 87 model.create_graph_from_data(load_json(data_file)) - 88 - 89 # TODO: I should become a configurable skeleton builder - 90 model.create_all_possible_edges() - 91 - 92 typer.echo("🕵🏻‍♀ Executing pipeline steps...") - 93 model.execute_pipeline_steps() - 94 edges = [] - 95 for edge in retrieve_edges(model.graph): - 96 print( - 97 f"{model.graph.nodes[edge[0]].name} -> {model.graph.nodes[edge[1]].name}: {model.graph.edges[edge[0]][edge[1]]}" - 98 ) - 99 edges.append( -100 { -101 "from": model.graph.nodes[edge[0]].to_dict(), -102 "to": model.graph.nodes[edge[1]].to_dict(), -103 "value": model.graph.edges[edge[0]][edge[1]], -104 } -105 ) -106 -107 if output_file: -108 typer.echo(f"💾 Saving graph actions to {output_file}") -109 with open(output_file, "w") as file: -110 export = { -111 "name": algorithm, -112 "created_at": datetime.now().isoformat(), -113 "algorithm": algorithm_reference, -114 "steps": model.graph.action_history, -115 "nodes": model.graph.nodes, -116 "edges": edges, -117 } -118 file.write(json.dumps(export, cls=MyJSONEncoder, indent=4)) -119 -120 if render_save_file: -121 # I'm just a hacky rendering function, pls replace me with causy ui 🙄 -122 typer.echo(f"💾 Saving graph to {render_save_file}") -123 import networkx as nx -124 import matplotlib.pyplot as plt -125 -126 n_graph = nx.DiGraph() -127 for u in model.graph.edges: -128 for v in model.graph.edges[u]: -129 n_graph.add_edge(model.graph.nodes[u].name, model.graph.nodes[v].name) -130 fig = plt.figure(figsize=(10, 10)) -131 nx.draw(n_graph, with_labels=True, ax=fig.add_subplot(111)) -132 fig.savefig(render_save_file) -133 + 51 + 52@app.command() + 53def execute( + 54 data_file: str, + 55 pipeline: str = None, + 56 algorithm: str = None, + 57 output_file: str = None, + 58 render_save_file: str = None, + 59 log_level: str = "ERROR", + 60): + 61 logging.basicConfig(level=log_level) + 62 if pipeline: + 63 typer.echo(f"💾 Loading pipeline from {pipeline}") + 64 pipeline_config = load_json(pipeline) + 65 pipeline = create_pipeline(pipeline_config) + 66 model = graph_model_factory(pipeline_steps=pipeline)() + 67 algorithm_reference = { + 68 "type": "pipeline", + 69 "reference": pipeline, # TODO: how to reference pipeline in a way that it can be loaded? + 70 } + 71 elif algorithm: + 72 typer.echo(f"💾 Creating pipeline from algorithm {algorithm}") + 73 model = load_algorithm(algorithm)() + 74 algorithm_reference = { + 75 "type": "default", + 76 "reference": algorithm, + 77 } + 78 + 79 else: + 80 raise ValueError("Either pipeline_file or algorithm must be specified") + 81 + 82 # initialize from json + 83 model.create_graph_from_data(load_json(data_file)) + 84 + 85 # TODO: I should become a configurable skeleton builder + 86 model.create_all_possible_edges() + 87 + 88 typer.echo("🕵🏻‍♀ Executing pipeline steps...") + 89 model.execute_pipeline_steps() + 90 edges = [] + 91 for edge in retrieve_edges(model.graph): + 92 print( + 93 f"{model.graph.nodes[edge[0]].name} -> {model.graph.nodes[edge[1]].name}: {model.graph.edges[edge[0]][edge[1]]}" + 94 ) + 95 edges.append( + 96 { + 97 "from": model.graph.nodes[edge[0]].serialize(), + 98 "to": model.graph.nodes[edge[1]].serialize(), + 99 "value": model.graph.edges[edge[0]][edge[1]], +100 } +101 ) +102 +103 if output_file: +104 typer.echo(f"💾 Saving graph actions to {output_file}") +105 with open(output_file, "w") as file: +106 export = { +107 "name": algorithm, +108 "created_at": datetime.now().isoformat(), +109 "algorithm": algorithm_reference, +110 "steps": model.graph.action_history, +111 "nodes": model.graph.nodes, +112 "edges": edges, +113 } +114 file.write(json.dumps(export, cls=MyJSONEncoder, indent=4)) +115 +116 if render_save_file: +117 # I'm just a hacky rendering function, pls replace me with causy ui 🙄 +118 typer.echo(f"💾 Saving graph to {render_save_file}") +119 import networkx as nx +120 import matplotlib.pyplot as plt +121 +122 n_graph = nx.DiGraph() +123 for u in model.graph.edges: +124 for v in model.graph.edges[u]: +125 n_graph.add_edge(model.graph.nodes[u].name, model.graph.nodes[v].name) +126 fig = plt.figure(figsize=(10, 10)) +127 nx.draw(n_graph, with_labels=True, ax=fig.add_subplot(111)) +128 fig.savefig(render_save_file) +129 +130 +131@app.command() +132def visualize(output: str): +133 raise NotImplementedError() 134 -135@app.command() -136def visualize(output: str): -137 raise NotImplementedError() -138 -139 -140if __name__ == "__main__": -141 app() +135 +136if __name__ == "__main__": +137 app() @@ -249,10 +245,10 @@

    - 
    19def load_json(pipeline_file: str):
-20    with open(pipeline_file, "r") as file:
-21        pipeline = json.loads(file.read())
-22    return pipeline
+            
    20def load_json(pipeline_file: str):
+21    with open(pipeline_file, "r") as file:
+22        pipeline = json.loads(file.read())
+23    return pipeline
 
    
 
 
@@ -270,12 +266,12 @@
    - 
    25def load_algorithm(algorithm: str):
-26    st_function = importlib.import_module("causy.algorithms")
-27    st_function = getattr(st_function, algorithm)
-28    if not st_function:
-29        raise ValueError(f"Algorithm {algorithm} not found")
-30    return st_function
+            
    26def load_algorithm(algorithm: str):
+27    st_function = importlib.import_module("causy.algorithms")
+28    st_function = getattr(st_function, algorithm)
+29    if not st_function:
+30        raise ValueError(f"Algorithm {algorithm} not found")
+31    return st_function
 
    
 
 
@@ -293,8 +289,8 @@
    - 
    33def create_pipeline(pipeline_config: dict):
-34    return load_pipeline_steps_by_definition(pipeline_config["steps"])
+            
    34def create_pipeline(pipeline_config: dict):
+35    return load_pipeline_steps_by_definition(pipeline_config["steps"])
 
    
 
 
@@ -312,9 +308,9 @@
    - 
    37class MyJSONEncoder(JSONEncoder):
-38    def default(self, obj):
-39        return obj.to_dict()
+            
    38class MyJSONEncoder(JSONEncoder):
+39    def default(self, obj):
+40        return obj.serialize()
 
    
 
 
@@ -358,8 +354,8 @@
    - 
    38    def default(self, obj):
-39        return obj.to_dict()
+            
    39    def default(self, obj):
+40        return obj.serialize()
 
    
 
 
@@ -416,19 +412,14 @@ 
    Inherited Members
    - 
    42@app.command()
-43def eject(algorithm: str, output_file: str):
-44    typer.echo(f"💾 Loading algorithm {algorithm}")
-45    model = load_algorithm(algorithm)()
-46    output = []
-47    for step in model.pipeline_steps:
-48        output.append(step.serialize())
-49
-50    result = {"name": algorithm, "steps": output}
-51
-52    typer.echo(f"💾 Saving algorithm {algorithm} to {output_file}")
-53    with open(output_file, "w") as file:
-54        file.write(json.dumps(result, indent=4))
+            
    43@app.command()
+44def eject(algorithm: str, output_file: str):
+45    typer.echo(f"💾 Loading algorithm {algorithm}")
+46    model = load_algorithm(algorithm)()
+47    result = serialize_model(model, algorithm_name=algorithm)
+48    typer.echo(f"💾 Saving algorithm {algorithm} to {output_file}")
+49    with open(output_file, "w") as file:
+50        file.write(json.dumps(result, indent=4))
 
    
 
 
@@ -447,83 +438,83 @@ 
    Inherited Members
    - 
     57@app.command()
- 58def execute(
- 59    data_file: str,
- 60    pipeline: str = None,
- 61    algorithm: str = None,
- 62    output_file: str = None,
- 63    render_save_file: str = None,
- 64    log_level: str = "ERROR",
- 65):
- 66    logging.basicConfig(level=log_level)
- 67    if pipeline:
- 68        typer.echo(f"💾 Loading pipeline from {pipeline}")
- 69        pipeline_config = load_json(pipeline)
- 70        pipeline = create_pipeline(pipeline_config)
- 71        model = graph_model_factory(pipeline_steps=pipeline)()
- 72        algorithm_reference = {
- 73            "type": "pipeline",
- 74            "reference": pipeline,  # TODO: how to reference pipeline in a way that it can be loaded?
- 75        }
- 76    elif algorithm:
- 77        typer.echo(f"💾 Creating pipeline from algorithm {algorithm}")
- 78        model = load_algorithm(algorithm)()
- 79        algorithm_reference = {
- 80            "type": "default",
- 81            "reference": algorithm,
- 82        }
- 83
- 84    else:
- 85        raise ValueError("Either pipeline_file or algorithm must be specified")
- 86
- 87    # initialize from json
- 88    model.create_graph_from_data(load_json(data_file))
- 89
- 90    # TODO: I should become a configurable skeleton builder
- 91    model.create_all_possible_edges()
- 92
- 93    typer.echo("🕵🏻‍♀  Executing pipeline steps...")
- 94    model.execute_pipeline_steps()
- 95    edges = []
- 96    for edge in retrieve_edges(model.graph):
- 97        print(
- 98            f"{model.graph.nodes[edge[0]].name} -> {model.graph.nodes[edge[1]].name}: {model.graph.edges[edge[0]][edge[1]]}"
- 99        )
-100        edges.append(
-101            {
-102                "from": model.graph.nodes[edge[0]].to_dict(),
-103                "to": model.graph.nodes[edge[1]].to_dict(),
-104                "value": model.graph.edges[edge[0]][edge[1]],
-105            }
-106        )
-107
-108    if output_file:
-109        typer.echo(f"💾 Saving graph actions to {output_file}")
-110        with open(output_file, "w") as file:
-111            export = {
-112                "name": algorithm,
-113                "created_at": datetime.now().isoformat(),
-114                "algorithm": algorithm_reference,
-115                "steps": model.graph.action_history,
-116                "nodes": model.graph.nodes,
-117                "edges": edges,
-118            }
-119            file.write(json.dumps(export, cls=MyJSONEncoder, indent=4))
-120
-121    if render_save_file:
-122        # I'm just a hacky rendering function, pls replace me with causy ui 🙄
-123        typer.echo(f"💾 Saving graph to {render_save_file}")
-124        import networkx as nx
-125        import matplotlib.pyplot as plt
-126
-127        n_graph = nx.DiGraph()
-128        for u in model.graph.edges:
-129            for v in model.graph.edges[u]:
-130                n_graph.add_edge(model.graph.nodes[u].name, model.graph.nodes[v].name)
-131        fig = plt.figure(figsize=(10, 10))
-132        nx.draw(n_graph, with_labels=True, ax=fig.add_subplot(111))
-133        fig.savefig(render_save_file)
+            
     53@app.command()
+ 54def execute(
+ 55    data_file: str,
+ 56    pipeline: str = None,
+ 57    algorithm: str = None,
+ 58    output_file: str = None,
+ 59    render_save_file: str = None,
+ 60    log_level: str = "ERROR",
+ 61):
+ 62    logging.basicConfig(level=log_level)
+ 63    if pipeline:
+ 64        typer.echo(f"💾 Loading pipeline from {pipeline}")
+ 65        pipeline_config = load_json(pipeline)
+ 66        pipeline = create_pipeline(pipeline_config)
+ 67        model = graph_model_factory(pipeline_steps=pipeline)()
+ 68        algorithm_reference = {
+ 69            "type": "pipeline",
+ 70            "reference": pipeline,  # TODO: how to reference pipeline in a way that it can be loaded?
+ 71        }
+ 72    elif algorithm:
+ 73        typer.echo(f"💾 Creating pipeline from algorithm {algorithm}")
+ 74        model = load_algorithm(algorithm)()
+ 75        algorithm_reference = {
+ 76            "type": "default",
+ 77            "reference": algorithm,
+ 78        }
+ 79
+ 80    else:
+ 81        raise ValueError("Either pipeline_file or algorithm must be specified")
+ 82
+ 83    # initialize from json
+ 84    model.create_graph_from_data(load_json(data_file))
+ 85
+ 86    # TODO: I should become a configurable skeleton builder
+ 87    model.create_all_possible_edges()
+ 88
+ 89    typer.echo("🕵🏻‍♀  Executing pipeline steps...")
+ 90    model.execute_pipeline_steps()
+ 91    edges = []
+ 92    for edge in retrieve_edges(model.graph):
+ 93        print(
+ 94            f"{model.graph.nodes[edge[0]].name} -> {model.graph.nodes[edge[1]].name}: {model.graph.edges[edge[0]][edge[1]]}"
+ 95        )
+ 96        edges.append(
+ 97            {
+ 98                "from": model.graph.nodes[edge[0]].serialize(),
+ 99                "to": model.graph.nodes[edge[1]].serialize(),
+100                "value": model.graph.edges[edge[0]][edge[1]],
+101            }
+102        )
+103
+104    if output_file:
+105        typer.echo(f"💾 Saving graph actions to {output_file}")
+106        with open(output_file, "w") as file:
+107            export = {
+108                "name": algorithm,
+109                "created_at": datetime.now().isoformat(),
+110                "algorithm": algorithm_reference,
+111                "steps": model.graph.action_history,
+112                "nodes": model.graph.nodes,
+113                "edges": edges,
+114            }
+115            file.write(json.dumps(export, cls=MyJSONEncoder, indent=4))
+116
+117    if render_save_file:
+118        # I'm just a hacky rendering function, pls replace me with causy ui 🙄
+119        typer.echo(f"💾 Saving graph to {render_save_file}")
+120        import networkx as nx
+121        import matplotlib.pyplot as plt
+122
+123        n_graph = nx.DiGraph()
+124        for u in model.graph.edges:
+125            for v in model.graph.edges[u]:
+126                n_graph.add_edge(model.graph.nodes[u].name, model.graph.nodes[v].name)
+127        fig = plt.figure(figsize=(10, 10))
+128        nx.draw(n_graph, with_labels=True, ax=fig.add_subplot(111))
+129        fig.savefig(render_save_file)
 
    
 
 
@@ -542,9 +533,9 @@ 
    Inherited Members
    - 
    136@app.command()
-137def visualize(output: str):
-138    raise NotImplementedError()
+            
    132@app.command()
+133def visualize(output: str):
+134    raise NotImplementedError()
 
    
 
 
diff --git a/causy/exit_conditions.html b/causy/exit_conditions.html
index 350718c..ad40275 100644
--- a/causy/exit_conditions.html
+++ b/causy/exit_conditions.html
@@ -168,8 +168,8 @@ 
    Returns
    
                             
    
                                 
    Inherited Members
    
                                 
    
-                                    
    
diff --git a/causy/generators.html b/causy/generators.html
index 6dfc4fe..4c13974 100644
--- a/causy/generators.html
+++ b/causy/generators.html
@@ -54,9 +54,6 @@ 
    API Documentation
    
                         
  • 
                                 chunked
                         
    • 
-                        
  • 
-                                serialize
-                        
    • 
                         
  • 
                                 generate
                         
    • 
@@ -72,9 +69,6 @@ 
    API Documentation
    
                         
  • 
                                 every_nth
                         
    • 
-                        
  • 
-                                serialize
-                        
    • 
                         
  • 
                                 generate
                         
    • 
@@ -173,116 +167,105 @@ 
    
  69        if chunked is not None:
  70            self.chunked = chunked
  71
- 72    def serialize(self):
- 73        result = super().serialize()
- 74        result["params"]["shuffle_combinations"] = self.shuffle_combinations
- 75        return result
- 76
- 77    def generate(
- 78        self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface
- 79    ):
- 80        start = self.comparison_settings.min
- 81        # if min is longer then our dataset, we can't create any combinations
- 82        if start > len(graph.nodes):
- 83            return
- 84
- 85        # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1
- 86        if self.comparison_settings.max == AS_MANY_AS_FIELDS:
- 87            stop = len(graph.nodes) + 1
- 88        else:
- 89            stop = self.comparison_settings.max + 1
- 90
- 91        # if start is longer then our dataset, we set it to the length of the dataset
- 92        if stop > len(graph.nodes) + 1:
- 93            stop = len(graph.nodes) + 1
- 94
- 95        # if stop is smaller then start, we can't create any combinations
- 96        if stop < start:
- 97            return
- 98
- 99        if start < 2:
-100            raise ValueError("PairsWithNeighboursGenerator: start must be at least 2")
-101
-102        for i in range(start, stop):
-103            logger.debug(f"PairsWithNeighboursGenerator: i={i}")
-104            checked_combinations = set()
-105            local_edges = copy.deepcopy(graph.edges)
-106            for node in local_edges:
-107                for neighbour in local_edges[node]:
-108                    if (node, neighbour) in checked_combinations:
+ 72    def generate(
+ 73        self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface
+ 74    ):
+ 75        start = self.comparison_settings.min
+ 76        # if min is longer then our dataset, we can't create any combinations
+ 77        if start > len(graph.nodes):
+ 78            return
+ 79
+ 80        # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1
+ 81        if self.comparison_settings.max == AS_MANY_AS_FIELDS:
+ 82            stop = len(graph.nodes) + 1
+ 83        else:
+ 84            stop = self.comparison_settings.max + 1
+ 85
+ 86        # if start is longer then our dataset, we set it to the length of the dataset
+ 87        if stop > len(graph.nodes) + 1:
+ 88            stop = len(graph.nodes) + 1
+ 89
+ 90        # if stop is smaller then start, we can't create any combinations
+ 91        if stop < start:
+ 92            return
+ 93
+ 94        if start < 2:
+ 95            raise ValueError("PairsWithNeighboursGenerator: start must be at least 2")
+ 96
+ 97        for i in range(start, stop):
+ 98            logger.debug(f"PairsWithNeighboursGenerator: i={i}")
+ 99            checked_combinations = set()
+100            local_edges = copy.deepcopy(graph.edges)
+101            for node in local_edges:
+102                for neighbour in local_edges[node]:
+103                    if (node, neighbour) in checked_combinations:
+104                        continue
+105
+106                    checked_combinations.add((node, neighbour))
+107                    if i == 2:
+108                        yield (node, neighbour)
 109                        continue
 110
-111                    checked_combinations.add((node, neighbour))
-112                    if i == 2:
-113                        yield (node, neighbour)
-114                        continue
-115
-116                    other_neighbours = set(graph.edges[node])
-117                    if neighbour in other_neighbours:
-118                        other_neighbours.remove(neighbour)
-119                    else:
-120                        continue
-121                    if len(other_neighbours) + 2 < i:
-122                        continue
-123                    combinations = itertools.combinations(other_neighbours, i)
-124                    if self.shuffle_combinations:
-125                        combinations = list(combinations)
-126                        import random
-127
-128                        random.shuffle(combinations)
-129
-130                    if self.chunked:
-131                        chunk = []
-132                        for k in combinations:
-133                            chunk.append([node, neighbour] + [ks for ks in k])
-134                        yield chunk
-135                    else:
-136                        for k in combinations:
-137                            yield [node, neighbour] + [ks for ks in k]
-138
+111                    other_neighbours = set(graph.edges[node])
+112                    if neighbour in other_neighbours:
+113                        other_neighbours.remove(neighbour)
+114                    else:
+115                        continue
+116                    if len(other_neighbours) + 2 < i:
+117                        continue
+118                    combinations = itertools.combinations(other_neighbours, i)
+119                    if self.shuffle_combinations:
+120                        combinations = list(combinations)
+121                        import random
+122
+123                        random.shuffle(combinations)
+124
+125                    if self.chunked:
+126                        chunk = []
+127                        for k in combinations:
+128                            chunk.append([node, neighbour] + [ks for ks in k])
+129                        yield chunk
+130                    else:
+131                        for k in combinations:
+132                            yield [node, neighbour] + [ks for ks in k]
+133
+134
+135class RandomSampleGenerator(GeneratorInterface):
+136    """
+137    Executes another generator and returns a random sample of the results
+138    """
 139
-140class RandomSampleGenerator(GeneratorInterface):
-141    """
-142    Executes another generator and returns a random sample of the results
-143    """
-144
-145    every_nth = 100
-146
-147    def __init__(
-148        self,
-149        comparison_settings: ComparisonSettings = None,
-150        chunked: bool = None,
-151        every_nth: int = None,
-152        generator: GeneratorInterface = None,
-153    ):
-154        super().__init__(comparison_settings, chunked)
-155        if every_nth is not None:
-156            self.every_nth = every_nth
-157
-158        if generator is not None:
-159            if isinstance(generator, GeneratorInterface):
-160                self.generator = generator
-161            else:
-162                self.generator = load_pipeline_artefact_by_definition(generator)
-163        else:
-164            raise ValueError("RandomSampleGenerator: generator must be set")
-165
-166    def serialize(self):
-167        result = super().serialize()
-168        result["params"]["every_nth"] = self.every_nth
-169        result["params"]["generator"] = self.generator.serialize()
-170        return result
-171
-172    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-173        """
-174        Executes another generator and returns a random sample of the results
-175        :param graph:
-176        :param graph_model_instance_:
-177        :return: yields a random sample of the results
-178        """
-179        for combination in self.generator.generate(graph, graph_model_instance_):
-180            if random.randint(0, self.every_nth) == 0:
-181                yield combination
+140    every_nth = 100
+141
+142    def __init__(
+143        self,
+144        comparison_settings: ComparisonSettings = None,
+145        chunked: bool = None,
+146        every_nth: int = None,
+147        generator: GeneratorInterface = None,
+148    ):
+149        super().__init__(comparison_settings, chunked)
+150        if every_nth is not None:
+151            self.every_nth = every_nth
+152
+153        if generator is not None:
+154            if isinstance(generator, GeneratorInterface):
+155                self.generator = generator
+156            else:
+157                self.generator = load_pipeline_artefact_by_definition(generator)
+158        else:
+159            raise ValueError("RandomSampleGenerator: generator must be set")
+160
+161    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+162        """
+163        Executes another generator and returns a random sample of the results
+164        :param graph:
+165        :param graph_model_instance_:
+166        :return: yields a random sample of the results
+167        """
+168        for combination in self.generator.generate(graph, graph_model_instance_):
+169            if random.randint(0, self.every_nth) == 0:
+170                yield combination
    @@ -398,7 +381,10 @@

    Inherited Members
    GeneratorInterface
    comparison_settings
    chunked
    -
    serialize
    + + +
    causy.serialization.SerializeMixin
    +
    serialize
    @@ -436,72 +422,67 @@
    Inherited Members
    70 if chunked is not None: 71 self.chunked = chunked 72 - 73 def serialize(self): - 74 result = super().serialize() - 75 result["params"]["shuffle_combinations"] = self.shuffle_combinations - 76 return result - 77 - 78 def generate( - 79 self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface - 80 ): - 81 start = self.comparison_settings.min - 82 # if min is longer then our dataset, we can't create any combinations - 83 if start > len(graph.nodes): - 84 return - 85 - 86 # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1 - 87 if self.comparison_settings.max == AS_MANY_AS_FIELDS: - 88 stop = len(graph.nodes) + 1 - 89 else: - 90 stop = self.comparison_settings.max + 1 - 91 - 92 # if start is longer then our dataset, we set it to the length of the dataset - 93 if stop > len(graph.nodes) + 1: - 94 stop = len(graph.nodes) + 1 - 95 - 96 # if stop is smaller then start, we can't create any combinations - 97 if stop < start: - 98 return - 99 -100 if start < 2: -101 raise ValueError("PairsWithNeighboursGenerator: start must be at least 2") -102 -103 for i in range(start, stop): -104 logger.debug(f"PairsWithNeighboursGenerator: i={i}") -105 checked_combinations = set() -106 local_edges = copy.deepcopy(graph.edges) -107 for node in local_edges: -108 for neighbour in local_edges[node]: -109 if (node, neighbour) in checked_combinations: + 73 def generate( + 74 self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface + 75 ): + 76 start = self.comparison_settings.min + 77 # if min is longer then our dataset, we can't create any combinations + 78 if start > len(graph.nodes): + 79 return + 80 + 81 # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1 + 82 if self.comparison_settings.max == AS_MANY_AS_FIELDS: + 83 stop = len(graph.nodes) + 1 + 84 else: + 85 stop = self.comparison_settings.max + 1 + 86 + 87 # if start is longer then our dataset, we set it to the length of the dataset + 88 if stop > len(graph.nodes) + 1: + 89 stop = len(graph.nodes) + 1 + 90 + 91 # if stop is smaller then start, we can't create any combinations + 92 if stop < start: + 93 return + 94 + 95 if start < 2: + 96 raise ValueError("PairsWithNeighboursGenerator: start must be at least 2") + 97 + 98 for i in range(start, stop): + 99 logger.debug(f"PairsWithNeighboursGenerator: i={i}") +100 checked_combinations = set() +101 local_edges = copy.deepcopy(graph.edges) +102 for node in local_edges: +103 for neighbour in local_edges[node]: +104 if (node, neighbour) in checked_combinations: +105 continue +106 +107 checked_combinations.add((node, neighbour)) +108 if i == 2: +109 yield (node, neighbour) 110 continue 111 -112 checked_combinations.add((node, neighbour)) -113 if i == 2: -114 yield (node, neighbour) -115 continue -116 -117 other_neighbours = set(graph.edges[node]) -118 if neighbour in other_neighbours: -119 other_neighbours.remove(neighbour) -120 else: -121 continue -122 if len(other_neighbours) + 2 < i: -123 continue -124 combinations = itertools.combinations(other_neighbours, i) -125 if self.shuffle_combinations: -126 combinations = list(combinations) -127 import random -128 -129 random.shuffle(combinations) -130 -131 if self.chunked: -132 chunk = [] -133 for k in combinations: -134 chunk.append([node, neighbour] + [ks for ks in k]) -135 yield chunk -136 else: -137 for k in combinations: -138 yield [node, neighbour] + [ks for ks in k] +112 other_neighbours = set(graph.edges[node]) +113 if neighbour in other_neighbours: +114 other_neighbours.remove(neighbour) +115 else: +116 continue +117 if len(other_neighbours) + 2 < i: +118 continue +119 combinations = itertools.combinations(other_neighbours, i) +120 if self.shuffle_combinations: +121 combinations = list(combinations) +122 import random +123 +124 random.shuffle(combinations) +125 +126 if self.chunked: +127 chunk = [] +128 for k in combinations: +129 chunk.append([node, neighbour] + [ks for ks in k]) +130 yield chunk +131 else: +132 for k in combinations: +133 yield [node, neighbour] + [ks for ks in k] @@ -560,27 +541,6 @@
    Inherited Members
    - -
    - -
    - - def - serialize(self): - - - -
    - - 
    73    def serialize(self):
-74        result = super().serialize()
-75        result["params"]["shuffle_combinations"] = self.shuffle_combinations
-76        return result
-
    - - - -
    @@ -593,67 +553,67 @@
    Inherited Members
    - 
     78    def generate(
- 79        self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface
- 80    ):
- 81        start = self.comparison_settings.min
- 82        # if min is longer then our dataset, we can't create any combinations
- 83        if start > len(graph.nodes):
- 84            return
- 85
- 86        # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1
- 87        if self.comparison_settings.max == AS_MANY_AS_FIELDS:
- 88            stop = len(graph.nodes) + 1
- 89        else:
- 90            stop = self.comparison_settings.max + 1
- 91
- 92        # if start is longer then our dataset, we set it to the length of the dataset
- 93        if stop > len(graph.nodes) + 1:
- 94            stop = len(graph.nodes) + 1
- 95
- 96        # if stop is smaller then start, we can't create any combinations
- 97        if stop < start:
- 98            return
- 99
-100        if start < 2:
-101            raise ValueError("PairsWithNeighboursGenerator: start must be at least 2")
-102
-103        for i in range(start, stop):
-104            logger.debug(f"PairsWithNeighboursGenerator: i={i}")
-105            checked_combinations = set()
-106            local_edges = copy.deepcopy(graph.edges)
-107            for node in local_edges:
-108                for neighbour in local_edges[node]:
-109                    if (node, neighbour) in checked_combinations:
+            
     73    def generate(
+ 74        self, graph: BaseGraphInterface, graph_model_instance_: GraphModelInterface
+ 75    ):
+ 76        start = self.comparison_settings.min
+ 77        # if min is longer then our dataset, we can't create any combinations
+ 78        if start > len(graph.nodes):
+ 79            return
+ 80
+ 81        # if max is AS_MANY_AS_FIELDS, we set it to the length of the dataset + 1
+ 82        if self.comparison_settings.max == AS_MANY_AS_FIELDS:
+ 83            stop = len(graph.nodes) + 1
+ 84        else:
+ 85            stop = self.comparison_settings.max + 1
+ 86
+ 87        # if start is longer then our dataset, we set it to the length of the dataset
+ 88        if stop > len(graph.nodes) + 1:
+ 89            stop = len(graph.nodes) + 1
+ 90
+ 91        # if stop is smaller then start, we can't create any combinations
+ 92        if stop < start:
+ 93            return
+ 94
+ 95        if start < 2:
+ 96            raise ValueError("PairsWithNeighboursGenerator: start must be at least 2")
+ 97
+ 98        for i in range(start, stop):
+ 99            logger.debug(f"PairsWithNeighboursGenerator: i={i}")
+100            checked_combinations = set()
+101            local_edges = copy.deepcopy(graph.edges)
+102            for node in local_edges:
+103                for neighbour in local_edges[node]:
+104                    if (node, neighbour) in checked_combinations:
+105                        continue
+106
+107                    checked_combinations.add((node, neighbour))
+108                    if i == 2:
+109                        yield (node, neighbour)
 110                        continue
 111
-112                    checked_combinations.add((node, neighbour))
-113                    if i == 2:
-114                        yield (node, neighbour)
-115                        continue
-116
-117                    other_neighbours = set(graph.edges[node])
-118                    if neighbour in other_neighbours:
-119                        other_neighbours.remove(neighbour)
-120                    else:
-121                        continue
-122                    if len(other_neighbours) + 2 < i:
-123                        continue
-124                    combinations = itertools.combinations(other_neighbours, i)
-125                    if self.shuffle_combinations:
-126                        combinations = list(combinations)
-127                        import random
-128
-129                        random.shuffle(combinations)
-130
-131                    if self.chunked:
-132                        chunk = []
-133                        for k in combinations:
-134                            chunk.append([node, neighbour] + [ks for ks in k])
-135                        yield chunk
-136                    else:
-137                        for k in combinations:
-138                            yield [node, neighbour] + [ks for ks in k]
+112                    other_neighbours = set(graph.edges[node])
+113                    if neighbour in other_neighbours:
+114                        other_neighbours.remove(neighbour)
+115                    else:
+116                        continue
+117                    if len(other_neighbours) + 2 < i:
+118                        continue
+119                    combinations = itertools.combinations(other_neighbours, i)
+120                    if self.shuffle_combinations:
+121                        combinations = list(combinations)
+122                        import random
+123
+124                        random.shuffle(combinations)
+125
+126                    if self.chunked:
+127                        chunk = []
+128                        for k in combinations:
+129                            chunk.append([node, neighbour] + [ks for ks in k])
+130                        yield chunk
+131                    else:
+132                        for k in combinations:
+133                            yield [node, neighbour] + [ks for ks in k]
 
    
 
 
@@ -666,6 +626,10 @@ 
    Inherited Members
    
                                     
    causy.interfaces.GeneratorInterface
    
                                 
    comparison_settings
    
 
+            
    
+            
    causy.serialization.SerializeMixin
    
+                                
    serialize
    
+
    @@ -681,48 +645,42 @@
    Inherited Members
    - 
    141class RandomSampleGenerator(GeneratorInterface):
-142    """
-143    Executes another generator and returns a random sample of the results
-144    """
-145
-146    every_nth = 100
-147
-148    def __init__(
-149        self,
-150        comparison_settings: ComparisonSettings = None,
-151        chunked: bool = None,
-152        every_nth: int = None,
-153        generator: GeneratorInterface = None,
-154    ):
-155        super().__init__(comparison_settings, chunked)
-156        if every_nth is not None:
-157            self.every_nth = every_nth
-158
-159        if generator is not None:
-160            if isinstance(generator, GeneratorInterface):
-161                self.generator = generator
-162            else:
-163                self.generator = load_pipeline_artefact_by_definition(generator)
-164        else:
-165            raise ValueError("RandomSampleGenerator: generator must be set")
-166
-167    def serialize(self):
-168        result = super().serialize()
-169        result["params"]["every_nth"] = self.every_nth
-170        result["params"]["generator"] = self.generator.serialize()
-171        return result
-172
-173    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-174        """
-175        Executes another generator and returns a random sample of the results
-176        :param graph:
-177        :param graph_model_instance_:
-178        :return: yields a random sample of the results
-179        """
-180        for combination in self.generator.generate(graph, graph_model_instance_):
-181            if random.randint(0, self.every_nth) == 0:
-182                yield combination
+            
    136class RandomSampleGenerator(GeneratorInterface):
+137    """
+138    Executes another generator and returns a random sample of the results
+139    """
+140
+141    every_nth = 100
+142
+143    def __init__(
+144        self,
+145        comparison_settings: ComparisonSettings = None,
+146        chunked: bool = None,
+147        every_nth: int = None,
+148        generator: GeneratorInterface = None,
+149    ):
+150        super().__init__(comparison_settings, chunked)
+151        if every_nth is not None:
+152            self.every_nth = every_nth
+153
+154        if generator is not None:
+155            if isinstance(generator, GeneratorInterface):
+156                self.generator = generator
+157            else:
+158                self.generator = load_pipeline_artefact_by_definition(generator)
+159        else:
+160            raise ValueError("RandomSampleGenerator: generator must be set")
+161
+162    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+163        """
+164        Executes another generator and returns a random sample of the results
+165        :param graph:
+166        :param graph_model_instance_:
+167        :return: yields a random sample of the results
+168        """
+169        for combination in self.generator.generate(graph, graph_model_instance_):
+170            if random.randint(0, self.every_nth) == 0:
+171                yield combination
 
    
 
 
@@ -740,24 +698,24 @@ 
    Inherited Members
    - 
    148    def __init__(
-149        self,
-150        comparison_settings: ComparisonSettings = None,
-151        chunked: bool = None,
-152        every_nth: int = None,
-153        generator: GeneratorInterface = None,
-154    ):
-155        super().__init__(comparison_settings, chunked)
-156        if every_nth is not None:
-157            self.every_nth = every_nth
-158
-159        if generator is not None:
-160            if isinstance(generator, GeneratorInterface):
-161                self.generator = generator
-162            else:
-163                self.generator = load_pipeline_artefact_by_definition(generator)
-164        else:
-165            raise ValueError("RandomSampleGenerator: generator must be set")
+            
    143    def __init__(
+144        self,
+145        comparison_settings: ComparisonSettings = None,
+146        chunked: bool = None,
+147        every_nth: int = None,
+148        generator: GeneratorInterface = None,
+149    ):
+150        super().__init__(comparison_settings, chunked)
+151        if every_nth is not None:
+152            self.every_nth = every_nth
+153
+154        if generator is not None:
+155            if isinstance(generator, GeneratorInterface):
+156                self.generator = generator
+157            else:
+158                self.generator = load_pipeline_artefact_by_definition(generator)
+159        else:
+160            raise ValueError("RandomSampleGenerator: generator must be set")
 
    
 
 
@@ -775,28 +733,6 @@ 
    Inherited Members
    
     
     
 
-
    -
    - -
    - - def - serialize(self): - - - -
    - - 
    167    def serialize(self):
-168        result = super().serialize()
-169        result["params"]["every_nth"] = self.every_nth
-170        result["params"]["generator"] = self.generator.serialize()
-171        return result
-
    - - - -
    @@ -809,16 +745,16 @@
    Inherited Members
    - 
    173    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-174        """
-175        Executes another generator and returns a random sample of the results
-176        :param graph:
-177        :param graph_model_instance_:
-178        :return: yields a random sample of the results
-179        """
-180        for combination in self.generator.generate(graph, graph_model_instance_):
-181            if random.randint(0, self.every_nth) == 0:
-182                yield combination
+            
    162    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+163        """
+164        Executes another generator and returns a random sample of the results
+165        :param graph:
+166        :param graph_model_instance_:
+167        :return: yields a random sample of the results
+168        """
+169        for combination in self.generator.generate(graph, graph_model_instance_):
+170            if random.randint(0, self.every_nth) == 0:
+171                yield combination
 
    
 
 
@@ -847,6 +783,10 @@ 
    Inherited Members
    
                                 
    comparison_settings
    
                 
    chunked
    
 
+
    +
    causy.serialization.SerializeMixin
    +
    serialize
    +
    diff --git a/causy/graph.html b/causy/graph.html index 651261c..81e81b4 100644 --- a/causy/graph.html +++ b/causy/graph.html @@ -177,9 +177,6 @@

    API Documentation

  • exit_condition
    • -
  • - serialize -
    • @@ -734,7 +731,7 @@

    528 529 def execute_pipeline_step(self, test_fn: IndependenceTestInterface): 530 """ -531 Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.PARALLEL flag +531 Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.parallel flag 532 :param test_fn: the test function 533 :param threshold: the threshold 534 :return: @@ -745,20 +742,20 @@

    539 540 # run all combinations in parallel except if the number of combinations is smaller then the chunk size 541 # because then we would create more overhead then we would definetly gain from parallel processing -542 if test_fn.PARALLEL: +542 if test_fn.parallel: 543 for result in self.pool.imap_unordered( 544 unpack_run, 545 self._format_yield( -546 test_fn, self.graph, test_fn.GENERATOR.generate(self.graph, self) +546 test_fn, self.graph, test_fn.generator.generate(self.graph, self) 547 ), -548 chunksize=test_fn.CHUNK_SIZE_PARALLEL_PROCESSING, +548 chunksize=test_fn.chunk_size_parallel_processing, 549 ): 550 if not isinstance(result, list): 551 result = [result] 552 actions_taken.extend(self._take_action(result)) 553 else: -554 if test_fn.GENERATOR.chunked: -555 for chunk in test_fn.GENERATOR.generate(self.graph, self): +554 if test_fn.generator.chunked: +555 for chunk in test_fn.generator.generate(self.graph, self): 556 iterator = [ 557 unpack_run(i) 558 for i in [[test_fn, [*c], self.graph] for c in chunk] @@ -769,7 +766,7 @@

    563 unpack_run(i) 564 for i in [ 565 [test_fn, [*i], self.graph] -566 for i in test_fn.GENERATOR.generate(self.graph, self) +566 for i in test_fn.generator.generate(self.graph, self) 567 ] 568 ] 569 actions_taken.extend(self._take_action(iterator)) @@ -841,15 +838,6 @@

    635 636 self.pipeline_steps = pipeline_steps or [] 637 self.exit_condition = exit_condition -638 -639 def serialize(self) -> dict: -640 serialized = super().serialize() -641 serialized["params"] = {} -642 serialized["params"]["exit_condition"] = self.exit_condition.serialize() -643 serialized["params"]["pipeline_steps"] = [ -644 i.serialize() for i in self.pipeline_steps -645 ] -646 return serialized @@ -940,7 +928,7 @@

    Inherited Members
    @@ -2367,7 +2355,7 @@
    Returns
    529 530 def execute_pipeline_step(self, test_fn: IndependenceTestInterface): 531 """ -532 Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.PARALLEL flag +532 Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.parallel flag 533 :param test_fn: the test function 534 :param threshold: the threshold 535 :return: @@ -2378,20 +2366,20 @@
    Returns
    540 541 # run all combinations in parallel except if the number of combinations is smaller then the chunk size 542 # because then we would create more overhead then we would definetly gain from parallel processing -543 if test_fn.PARALLEL: +543 if test_fn.parallel: 544 for result in self.pool.imap_unordered( 545 unpack_run, 546 self._format_yield( -547 test_fn, self.graph, test_fn.GENERATOR.generate(self.graph, self) +547 test_fn, self.graph, test_fn.generator.generate(self.graph, self) 548 ), -549 chunksize=test_fn.CHUNK_SIZE_PARALLEL_PROCESSING, +549 chunksize=test_fn.chunk_size_parallel_processing, 550 ): 551 if not isinstance(result, list): 552 result = [result] 553 actions_taken.extend(self._take_action(result)) 554 else: -555 if test_fn.GENERATOR.chunked: -556 for chunk in test_fn.GENERATOR.generate(self.graph, self): +555 if test_fn.generator.chunked: +556 for chunk in test_fn.generator.generate(self.graph, self): 557 iterator = [ 558 unpack_run(i) 559 for i in [[test_fn, [*c], self.graph] for c in chunk] @@ -2402,7 +2390,7 @@
    Returns
    564 unpack_run(i) 565 for i in [ 566 [test_fn, [*i], self.graph] -567 for i in test_fn.GENERATOR.generate(self.graph, self) +567 for i in test_fn.generator.generate(self.graph, self) 568 ] 569 ] 570 actions_taken.extend(self._take_action(iterator)) @@ -2477,7 +2465,7 @@
    Returns
    - pool: <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x108d4e850>> + pool: <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x10c5aed90>>
    @@ -2627,7 +2615,7 @@
    Returns
    530    def execute_pipeline_step(self, test_fn: IndependenceTestInterface):
 531        """
-532        Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.PARALLEL flag
+532        Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.parallel flag
 533        :param test_fn: the test function
 534        :param threshold: the threshold
 535        :return:
@@ -2638,20 +2626,20 @@ 
    Returns
    
     540
 541        # run all combinations in parallel except if the number of combinations is smaller then the chunk size
 542        # because then we would create more overhead then we would definetly gain from parallel processing
-543        if test_fn.PARALLEL:
+543        if test_fn.parallel:
 544            for result in self.pool.imap_unordered(
 545                unpack_run,
 546                self._format_yield(
-547                    test_fn, self.graph, test_fn.GENERATOR.generate(self.graph, self)
+547                    test_fn, self.graph, test_fn.generator.generate(self.graph, self)
 548                ),
-549                chunksize=test_fn.CHUNK_SIZE_PARALLEL_PROCESSING,
+549                chunksize=test_fn.chunk_size_parallel_processing,
 550            ):
 551                if not isinstance(result, list):
 552                    result = [result]
 553                actions_taken.extend(self._take_action(result))
 554        else:
-555            if test_fn.GENERATOR.chunked:
-556                for chunk in test_fn.GENERATOR.generate(self.graph, self):
+555            if test_fn.generator.chunked:
+556                for chunk in test_fn.generator.generate(self.graph, self):
 557                    iterator = [
 558                        unpack_run(i)
 559                        for i in [[test_fn, [*c], self.graph] for c in chunk]
@@ -2662,7 +2650,7 @@ 
    Returns
    
     564                    unpack_run(i)
 565                    for i in [
 566                        [test_fn, [*i], self.graph]
-567                        for i in test_fn.GENERATOR.generate(self.graph, self)
+567                        for i in test_fn.generator.generate(self.graph, self)
 568                    ]
 569                ]
 570                actions_taken.extend(self._take_action(iterator))
@@ -2675,7 +2663,7 @@ 
    Returns
    -

    Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.PARALLEL flag

    +

    Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.parallel flag

    Parameters
    @@ -2790,15 +2778,6 @@
    Returns
    636 637 self.pipeline_steps = pipeline_steps or [] 638 self.exit_condition = exit_condition -639 -640 def serialize(self) -> dict: -641 serialized = super().serialize() -642 serialized["params"] = {} -643 serialized["params"]["exit_condition"] = self.exit_condition.serialize() -644 serialized["params"]["pipeline_steps"] = [ -645 i.serialize() for i in self.pipeline_steps -646 ] -647 return serialized
    @@ -2910,30 +2889,14 @@
    Returns
    -
    - -
    - - def - serialize(self) -> dict: - - - -
    - - 
    640    def serialize(self) -> dict:
-641        serialized = super().serialize()
-642        serialized["params"] = {}
-643        serialized["params"]["exit_condition"] = self.exit_condition.serialize()
-644        serialized["params"]["pipeline_steps"] = [
-645            i.serialize() for i in self.pipeline_steps
-646        ]
-647        return serialized
-
    - - - +
    +
    Inherited Members
    +
    + +
    diff --git a/causy/independence_tests.html b/causy/independence_tests.html index dd4b090..00f4846 100644 --- a/causy/independence_tests.html +++ b/causy/independence_tests.html @@ -37,13 +37,13 @@

    API Documentation

    CalculateCorrelations 
    23class CalculateCorrelations(IndependenceTestInterface):
-24    GENERATOR = AllCombinationsGenerator(
+24    generator = AllCombinationsGenerator(
 25        comparison_settings=ComparisonSettings(min=2, max=2)
 26    )
-27    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-28    PARALLEL = False
+27    chunk_size_parallel_processing = 1
+28    parallel = False
 29
 30    def test(self, nodes: Tuple[str], graph: BaseGraphInterface) -> TestResult:
 31        """
@@ -443,38 +443,38 @@
    -
    +
    - GENERATOR = + generator = <causy.generators.AllCombinationsGenerator object>
    - +
    -
    +
    - CHUNK_SIZE_PARALLEL_PROCESSING = + chunk_size_parallel_processing = 1
    - +
    -
    +
    - PARALLEL = + parallel = False
    - + @@ -534,9 +534,12 @@
    Inherited Members
    +
    @@ -554,11 +557,11 @@
    Inherited Members
    51class CorrelationCoefficientTest(IndependenceTestInterface):
-52    GENERATOR = AllCombinationsGenerator(
+52    generator = AllCombinationsGenerator(
 53        comparison_settings=ComparisonSettings(min=2, max=2)
 54    )
-55    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-56    PARALLEL = False
+55    chunk_size_parallel_processing = 1
+56    parallel = False
 57
 58    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
 59        """
@@ -592,38 +595,38 @@ 
    Inherited Members
    -
    +
    - GENERATOR = + generator = <causy.generators.AllCombinationsGenerator object>
    - +
    -
    +
    - CHUNK_SIZE_PARALLEL_PROCESSING = + chunk_size_parallel_processing = 1
    - +
    -
    +
    - PARALLEL = + parallel = False
    - + @@ -688,9 +691,12 @@
    Inherited Members
    +
    @@ -708,11 +714,11 @@
    Inherited Members
     84class PartialCorrelationTest(IndependenceTestInterface):
- 85    GENERATOR = AllCombinationsGenerator(
+ 85    generator = AllCombinationsGenerator(
  86        comparison_settings=ComparisonSettings(min=3, max=3)
  87    )
- 88    CHUNK_SIZE_PARALLEL_PROCESSING = 1
- 89    PARALLEL = False
+ 88    chunk_size_parallel_processing = 1
+ 89    parallel = False
  90
  91    def test(
  92        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -786,38 +792,38 @@ 
    Inherited Members
    -
    +
    - GENERATOR = + generator = <causy.generators.AllCombinationsGenerator object>
    - +
    -
    +
    - CHUNK_SIZE_PARALLEL_PROCESSING = + chunk_size_parallel_processing = 1
    - +
    -
    +
    - PARALLEL = + parallel = False
    - + @@ -926,9 +932,12 @@
    Inherited Members
    +
    @@ -946,11 +955,11 @@
    Inherited Members
    157class ExtendedPartialCorrelationTestMatrix(IndependenceTestInterface):
-158    GENERATOR = PairsWithNeighboursGenerator(
+158    generator = PairsWithNeighboursGenerator(
 159        comparison_settings=ComparisonSettings(min=4, max=AS_MANY_AS_FIELDS)
 160    )
-161    CHUNK_SIZE_PARALLEL_PROCESSING = 1000
-162    PARALLEL = False
+161    chunk_size_parallel_processing = 1000
+162    parallel = False
 163
 164    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
 165        """
@@ -1018,38 +1027,38 @@ 
    Inherited Members
    -
    +
    - GENERATOR = + generator = <causy.generators.PairsWithNeighboursGenerator object>
    - +
    -
    +
    - CHUNK_SIZE_PARALLEL_PROCESSING = + chunk_size_parallel_processing = 1000
    - +
    -
    +
    - PARALLEL = + parallel = False
    - + @@ -1150,9 +1159,12 @@
    Inherited Members
    +
    @@ -1170,9 +1182,9 @@
    Inherited Members
    224class PlaceholderTest(IndependenceTestInterface):
-225    NUM_OF_COMPARISON_ELEMENTS = 2
-226    CHUNK_SIZE_PARALLEL_PROCESSING = 10
-227    PARALLEL = False
+225    num_of_comparison_elements = 2
+226    chunk_size_parallel_processing = 10
+227    parallel = False
 228
 229    def test(
 230        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -1193,38 +1205,38 @@ 
    Inherited Members
    -
    +
    - NUM_OF_COMPARISON_ELEMENTS = + num_of_comparison_elements = 2
    - +
    -
    +
    - CHUNK_SIZE_PARALLEL_PROCESSING = + chunk_size_parallel_processing = 10
    - +
    -
    +
    - PARALLEL = + parallel = False
    - + @@ -1273,9 +1285,12 @@
    Inherited Members
    +
    diff --git a/causy/interfaces.html b/causy/interfaces.html index 8ce6738..58364c0 100644 --- a/causy/interfaces.html +++ b/causy/interfaces.html @@ -51,9 +51,6 @@

    API Documentation

  • max
    • -
  • - serialize -
    • @@ -70,7 +67,7 @@

    API Documentation

    values
  • - to_dict + serialize
    • @@ -115,7 +112,7 @@

    API Documentation

    data
  • - to_dict + serialize
    • @@ -195,9 +192,6 @@

    API Documentation

  • generate
    • -
  • - serialize -
    • @@ -205,16 +199,16 @@

    API Documentation

    IndependenceTestInterface @@ -234,9 +225,6 @@

    API Documentation

  • execute
    • -
  • - serialize -
    • @@ -246,9 +234,6 @@

    API Documentation

  • check
    • -
  • - serialize -
    • @@ -280,266 +265,225 @@

    5from typing import List, Dict, Optional 6import logging 7 - 8from causy.utils import serialize_module_name, load_pipeline_artefact_by_definition - 9 - 10logger = logging.getLogger(__name__) - 11 - 12DEFAULT_THRESHOLD = 0.01 - 13 - 14AS_MANY_AS_FIELDS = 0 - 15 + 8from causy.serialization import SerializeMixin + 9from causy.utils import load_pipeline_artefact_by_definition + 10 + 11logger = logging.getLogger(__name__) + 12 + 13DEFAULT_THRESHOLD = 0.01 + 14 + 15AS_MANY_AS_FIELDS = 0 16 - 17@dataclass - 18class ComparisonSettings: - 19 min: int = 2 - 20 max: int = AS_MANY_AS_FIELDS - 21 - 22 def serialize(self): - 23 return { - 24 "name": serialize_module_name(self), - 25 "params": { - 26 "min": self.min, - 27 "max": self.max, - 28 }, - 29 } - 30 + 17 + 18@dataclass + 19class ComparisonSettings(SerializeMixin): + 20 min: int = 2 + 21 max: int = AS_MANY_AS_FIELDS + 22 + 23 + 24class NodeInterface(SerializeMixin): + 25 name: str + 26 id: str + 27 values: List[float] + 28 + 29 def serialize(self): + 30 return {"id": self.id, "name": self.name} 31 - 32class NodeInterface: - 33 name: str - 34 id: str - 35 values: List[float] - 36 - 37 def to_dict(self): - 38 return {"id": self.id, "name": self.name} + 32 + 33class TestResultAction(enum.StrEnum): + 34 REMOVE_EDGE_UNDIRECTED = "REMOVE_EDGE_UNDIRECTED" + 35 UPDATE_EDGE = "UPDATE_EDGE" + 36 UPDATE_EDGE_DIRECTED = "UPDATE_EDGE_DIRECTED" + 37 DO_NOTHING = "DO_NOTHING" + 38 REMOVE_EDGE_DIRECTED = "REMOVE_EDGE_DIRECTED" 39 40 - 41class TestResultAction(enum.StrEnum): - 42 REMOVE_EDGE_UNDIRECTED = "REMOVE_EDGE_UNDIRECTED" - 43 UPDATE_EDGE = "UPDATE_EDGE" - 44 UPDATE_EDGE_DIRECTED = "UPDATE_EDGE_DIRECTED" - 45 DO_NOTHING = "DO_NOTHING" - 46 REMOVE_EDGE_DIRECTED = "REMOVE_EDGE_DIRECTED" + 41@dataclass + 42class TestResult(SerializeMixin): + 43 x: NodeInterface + 44 y: NodeInterface + 45 action: TestResultAction + 46 data: Optional[Dict] = None 47 - 48 - 49@dataclass - 50class TestResult: - 51 x: NodeInterface - 52 y: NodeInterface - 53 action: TestResultAction - 54 data: Optional[Dict] = None + 48 def serialize(self): + 49 return { + 50 "x": self.x.serialize(), + 51 "y": self.y.serialize(), + 52 "action": self.action.name, + 53 } + 54 55 - 56 def to_dict(self): - 57 return { - 58 "x": self.x.to_dict(), - 59 "y": self.y.to_dict(), - 60 "action": self.action.name, - 61 } - 62 + 56class BaseGraphInterface(ABC): + 57 nodes: Dict[str, NodeInterface] + 58 edges: Dict[str, Dict[str, Dict]] + 59 + 60 @abstractmethod + 61 def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]: + 62 pass 63 - 64class BaseGraphInterface(ABC): - 65 nodes: Dict[str, NodeInterface] - 66 edges: Dict[str, Dict[str, Dict]] + 64 @abstractmethod + 65 def add_edge_history(self, u, v, action: TestResult): + 66 pass 67 68 @abstractmethod - 69 def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]: + 69 def add_edge(self, u, v, w): 70 pass 71 72 @abstractmethod - 73 def add_edge_history(self, u, v, action: TestResult): + 73 def remove_edge(self, u, v): 74 pass 75 76 @abstractmethod - 77 def add_edge(self, u, v, w): + 77 def remove_directed_edge(self, u, v): 78 pass 79 80 @abstractmethod - 81 def remove_edge(self, u, v): + 81 def update_edge(self, u, v, w): 82 pass 83 84 @abstractmethod - 85 def remove_directed_edge(self, u, v): + 85 def add_node(self, name, values) -> NodeInterface: 86 pass 87 88 @abstractmethod - 89 def update_edge(self, u, v, w): + 89 def edge_value(self, u, v): 90 pass 91 92 @abstractmethod - 93 def add_node(self, name, values) -> NodeInterface: + 93 def undirected_edge_exists(self, u, v): 94 pass 95 96 @abstractmethod - 97 def edge_value(self, u, v): + 97 def directed_edge_exists(self, u, v): 98 pass 99 100 @abstractmethod -101 def undirected_edge_exists(self, u, v): +101 def edge_exists(self, u, v): 102 pass 103 -104 @abstractmethod -105 def directed_edge_exists(self, u, v): -106 pass +104 +105class GraphModelInterface(ABC): +106 pool: multiprocessing.Pool 107 108 @abstractmethod -109 def edge_exists(self, u, v): +109 def create_graph_from_data(self, data: List[Dict]): 110 pass 111 -112 -113class GraphModelInterface(ABC): -114 pool: multiprocessing.Pool +112 @abstractmethod +113 def execute_pipeline_steps(self): +114 pass 115 116 @abstractmethod -117 def create_graph_from_data(self, data: List[Dict]): +117 def execute_pipeline_step(self, step): 118 pass 119 -120 @abstractmethod -121 def execute_pipeline_steps(self): -122 pass -123 -124 @abstractmethod -125 def execute_pipeline_step(self, step): -126 pass -127 +120 +121class GeneratorInterface(ABC, SerializeMixin): +122 comparison_settings: ComparisonSettings +123 chunked: bool = False +124 +125 @abstractmethod +126 def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict): +127 pass 128 -129class GeneratorInterface(ABC): -130 comparison_settings: ComparisonSettings -131 chunked: bool = False -132 -133 @abstractmethod -134 def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict): -135 pass -136 -137 def serialize(self) -> dict: -138 return { -139 "name": serialize_module_name(self), -140 "params": { -141 "comparison_settings": self.comparison_settings.serialize() -142 if self.comparison_settings -143 else None, -144 "chunked": self.chunked, -145 }, -146 } -147 -148 def __init__(self, comparison_settings: ComparisonSettings, chunked: bool = None): -149 if isinstance(comparison_settings, dict): -150 comparison_settings = load_pipeline_artefact_by_definition( -151 comparison_settings -152 ) -153 -154 if chunked is not None: -155 self.chunked = chunked -156 -157 self.comparison_settings = comparison_settings -158 -159 -160class IndependenceTestInterface(ABC): -161 NUM_OF_COMPARISON_ELEMENTS: int = 0 -162 GENERATOR: Optional[GeneratorInterface] = None -163 -164 CHUNK_SIZE_PARALLEL_PROCESSING: int = 1 -165 -166 PARALLEL: bool = True -167 -168 def __init__( -169 self, -170 threshold: float = DEFAULT_THRESHOLD, -171 generator: Optional[GeneratorInterface] = None, -172 num_of_comparison_elements: int = None, -173 chunk_size_parallel_processing: int = None, -174 parallel: bool = None, -175 ): -176 if generator: -177 if isinstance(generator, dict): -178 self.GENERATOR = load_pipeline_artefact_by_definition(generator) -179 else: -180 self.GENERATOR = generator -181 -182 if num_of_comparison_elements: -183 if isinstance(num_of_comparison_elements, dict): -184 self.NUM_OF_COMPARISON_ELEMENTS = load_pipeline_artefact_by_definition( -185 num_of_comparison_elements -186 ) -187 else: -188 self.NUM_OF_COMPARISON_ELEMENTS = num_of_comparison_elements -189 -190 if chunk_size_parallel_processing: -191 self.CHUNK_SIZE_PARALLEL_PROCESSING = chunk_size_parallel_processing -192 -193 if parallel: -194 self.PARALLEL = parallel -195 -196 self.threshold = threshold -197 -198 @abstractmethod -199 def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]: -200 """ -201 Test if x and y are independent -202 :param x: x values -203 :param y: y values -204 :return: True if independent, False otherwise -205 """ -206 pass -207 -208 def __call__( -209 self, nodes: List[str], graph: BaseGraphInterface -210 ) -> Optional[TestResult]: -211 return self.test(nodes, graph) -212 -213 def serialize(self) -> dict: -214 return { -215 "name": serialize_module_name(self), -216 "params": { -217 "threshold": self.threshold, -218 "generator": self.GENERATOR.serialize(), -219 "num_of_comparison_elements": self.NUM_OF_COMPARISON_ELEMENTS, -220 "chunk_size_parallel_processing": self.CHUNK_SIZE_PARALLEL_PROCESSING, -221 "parallel": self.PARALLEL, -222 }, -223 } -224 -225 -226class LogicStepInterface(ABC): -227 @abstractmethod -228 def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict): -229 pass -230 -231 def serialize(self) -> dict: -232 return { -233 "name": serialize_module_name(self), -234 } -235 -236 -237class ExitConditionInterface(ABC): -238 @abstractmethod -239 def check( -240 self, -241 graph: BaseGraphInterface, -242 graph_model_instance_: GraphModelInterface, -243 actions_taken: List[TestResult], -244 iteration: int, -245 ) -> bool: -246 """ -247 :param graph: -248 :param graph_model_instance_: -249 :param actions_taken: -250 :param iteration: -251 :return: True if you want to break an iteration, False otherwise -252 """ -253 pass -254 -255 def __call__( -256 self, -257 graph: BaseGraphInterface, -258 graph_model_instance_: GraphModelInterface, -259 actions_taken: List[TestResult], -260 iteration: int, -261 ) -> bool: -262 return self.check(graph, graph_model_instance_, actions_taken, iteration) -263 -264 def serialize(self): -265 return { -266 "name": serialize_module_name(self), -267 } +129 def __init__(self, comparison_settings: ComparisonSettings, chunked: bool = None): +130 if isinstance(comparison_settings, dict): +131 comparison_settings = load_pipeline_artefact_by_definition( +132 comparison_settings +133 ) +134 +135 if chunked is not None: +136 self.chunked = chunked +137 +138 self.comparison_settings = comparison_settings +139 +140 +141class IndependenceTestInterface(ABC, SerializeMixin): +142 num_of_comparison_elements: int = 0 +143 generator: Optional[GeneratorInterface] = None +144 +145 chunk_size_parallel_processing: int = 1 +146 +147 parallel: bool = True +148 +149 def __init__( +150 self, +151 threshold: float = DEFAULT_THRESHOLD, +152 generator: Optional[GeneratorInterface] = None, +153 num_of_comparison_elements: int = None, +154 chunk_size_parallel_processing: int = None, +155 parallel: bool = None, +156 ): +157 if generator: +158 if isinstance(generator, dict): +159 self.generator = load_pipeline_artefact_by_definition(generator) +160 else: +161 self.generator = generator +162 +163 if num_of_comparison_elements: +164 if isinstance(num_of_comparison_elements, dict): +165 self.num_of_comparison_elements = load_pipeline_artefact_by_definition( +166 num_of_comparison_elements +167 ) +168 else: +169 self.num_of_comparison_elements = num_of_comparison_elements +170 +171 if chunk_size_parallel_processing: +172 self.chunk_size_parallel_processing = chunk_size_parallel_processing +173 +174 if parallel: +175 self.parallel = parallel +176 +177 self.threshold = threshold +178 +179 @abstractmethod +180 def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]: +181 """ +182 Test if x and y are independent +183 :param x: x values +184 :param y: y values +185 :return: True if independent, False otherwise +186 """ +187 pass +188 +189 def __call__( +190 self, nodes: List[str], graph: BaseGraphInterface +191 ) -> Optional[TestResult]: +192 return self.test(nodes, graph) +193 +194 +195class LogicStepInterface(ABC, SerializeMixin): +196 @abstractmethod +197 def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict): +198 pass +199 +200 +201class ExitConditionInterface(ABC, SerializeMixin): +202 @abstractmethod +203 def check( +204 self, +205 graph: BaseGraphInterface, +206 graph_model_instance_: GraphModelInterface, +207 actions_taken: List[TestResult], +208 iteration: int, +209 ) -> bool: +210 """ +211 :param graph: +212 :param graph_model_instance_: +213 :param actions_taken: +214 :param iteration: +215 :return: True if you want to break an iteration, False otherwise +216 """ +217 pass +218 +219 def __call__( +220 self, +221 graph: BaseGraphInterface, +222 graph_model_instance_: GraphModelInterface, +223 actions_taken: List[TestResult], +224 iteration: int, +225 ) -> bool: +226 return self.check(graph, graph_model_instance_, actions_taken, iteration)

    @@ -586,25 +530,16 @@

    @dataclass
    class - ComparisonSettings: + ComparisonSettings(causy.serialization.SerializeMixin):

    - 
    18@dataclass
-19class ComparisonSettings:
-20    min: int = 2
-21    max: int = AS_MANY_AS_FIELDS
-22
-23    def serialize(self):
-24        return {
-25            "name": serialize_module_name(self),
-26            "params": {
-27                "min": self.min,
-28                "max": self.max,
-29            },
-30        }
+            
    19@dataclass
+20class ComparisonSettings(SerializeMixin):
+21    min: int = 2
+22    max: int = AS_MANY_AS_FIELDS
 
    
 
 
@@ -646,30 +581,14 @@
    -
    - -
    - - def - serialize(self): - - - -
    - - 
    23    def serialize(self):
-24        return {
-25            "name": serialize_module_name(self),
-26            "params": {
-27                "min": self.min,
-28                "max": self.max,
-29            },
-30        }
-
    - - - +
    +
    Inherited Members
    +
    + +
    @@ -677,23 +596,25 @@

    class - NodeInterface: + NodeInterface(causy.serialization.SerializeMixin):
    - 
    33class NodeInterface:
-34    name: str
-35    id: str
-36    values: List[float]
-37
-38    def to_dict(self):
-39        return {"id": self.id, "name": self.name}
+            
    25class NodeInterface(SerializeMixin):
+26    name: str
+27    id: str
+28    values: List[float]
+29
+30    def serialize(self):
+31        return {"id": self.id, "name": self.name}
 
    
 
 
-    
+            
    Mixin class for serializing and deserializing graph steps.
    
+
    
+
 
                             
    
                                 
    
@@ -728,23 +649,25 @@ 
    
     
 
                             
    
-                            
    
-                                        
+                            
    
+                                        
 
    
             
         def
-        to_dict(self):
+        serialize(self):
 
-                
+                
 
     
    
-    
-            
    38    def to_dict(self):
-39        return {"id": self.id, "name": self.name}
+    
+            
    30    def serialize(self):
+31        return {"id": self.id, "name": self.name}
 
    
 
 
-    
+            
    Serialize the object into a dictionary.
    
+
    
+

    @@ -759,12 +682,12 @@

    - 
    42class TestResultAction(enum.StrEnum):
-43    REMOVE_EDGE_UNDIRECTED = "REMOVE_EDGE_UNDIRECTED"
-44    UPDATE_EDGE = "UPDATE_EDGE"
-45    UPDATE_EDGE_DIRECTED = "UPDATE_EDGE_DIRECTED"
-46    DO_NOTHING = "DO_NOTHING"
-47    REMOVE_EDGE_DIRECTED = "REMOVE_EDGE_DIRECTED"
+            
    34class TestResultAction(enum.StrEnum):
+35    REMOVE_EDGE_UNDIRECTED = "REMOVE_EDGE_UNDIRECTED"
+36    UPDATE_EDGE = "UPDATE_EDGE"
+37    UPDATE_EDGE_DIRECTED = "UPDATE_EDGE_DIRECTED"
+38    DO_NOTHING = "DO_NOTHING"
+39    REMOVE_EDGE_DIRECTED = "REMOVE_EDGE_DIRECTED"
 
    
 
 
@@ -899,25 +822,25 @@ 
    Inherited Members
    
                     
    @dataclass
    
 
     class
-    TestResult:
+    TestResult(causy.serialization.SerializeMixin):
    - 
    50@dataclass
-51class TestResult:
-52    x: NodeInterface
-53    y: NodeInterface
-54    action: TestResultAction
-55    data: Optional[Dict] = None
-56
-57    def to_dict(self):
-58        return {
-59            "x": self.x.to_dict(),
-60            "y": self.y.to_dict(),
-61            "action": self.action.name,
-62        }
+            
    42@dataclass
+43class TestResult(SerializeMixin):
+44    x: NodeInterface
+45    y: NodeInterface
+46    action: TestResultAction
+47    data: Optional[Dict] = None
+48
+49    def serialize(self):
+50        return {
+51            "x": self.x.serialize(),
+52            "y": self.y.serialize(),
+53            "action": self.action.name,
+54        }
 
    
 
 
@@ -980,27 +903,29 @@ 
    Inherited Members
    -
    - +
    +
    def - to_dict(self): + serialize(self): - +
    - - 
    57    def to_dict(self):
-58        return {
-59            "x": self.x.to_dict(),
-60            "y": self.y.to_dict(),
-61            "action": self.action.name,
-62        }
+    
+            
    49    def serialize(self):
+50        return {
+51            "x": self.x.serialize(),
+52            "y": self.y.serialize(),
+53            "action": self.action.name,
+54        }
 
    
 
 
-    
+            
    Serialize the object into a dictionary.
    
+
    
+
    @@ -1015,53 +940,53 @@
    Inherited Members
    - 
     65class BaseGraphInterface(ABC):
- 66    nodes: Dict[str, NodeInterface]
- 67    edges: Dict[str, Dict[str, Dict]]
+            
     57class BaseGraphInterface(ABC):
+ 58    nodes: Dict[str, NodeInterface]
+ 59    edges: Dict[str, Dict[str, Dict]]
+ 60
+ 61    @abstractmethod
+ 62    def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]:
+ 63        pass
+ 64
+ 65    @abstractmethod
+ 66    def add_edge_history(self, u, v, action: TestResult):
+ 67        pass
  68
  69    @abstractmethod
- 70    def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]:
+ 70    def add_edge(self, u, v, w):
  71        pass
  72
  73    @abstractmethod
- 74    def add_edge_history(self, u, v, action: TestResult):
+ 74    def remove_edge(self, u, v):
  75        pass
  76
  77    @abstractmethod
- 78    def add_edge(self, u, v, w):
+ 78    def remove_directed_edge(self, u, v):
  79        pass
  80
  81    @abstractmethod
- 82    def remove_edge(self, u, v):
+ 82    def update_edge(self, u, v, w):
  83        pass
  84
  85    @abstractmethod
- 86    def remove_directed_edge(self, u, v):
+ 86    def add_node(self, name, values) -> NodeInterface:
  87        pass
  88
  89    @abstractmethod
- 90    def update_edge(self, u, v, w):
+ 90    def edge_value(self, u, v):
  91        pass
  92
  93    @abstractmethod
- 94    def add_node(self, name, values) -> NodeInterface:
+ 94    def undirected_edge_exists(self, u, v):
  95        pass
  96
  97    @abstractmethod
- 98    def edge_value(self, u, v):
+ 98    def directed_edge_exists(self, u, v):
  99        pass
 100
 101    @abstractmethod
-102    def undirected_edge_exists(self, u, v):
+102    def edge_exists(self, u, v):
 103        pass
-104
-105    @abstractmethod
-106    def directed_edge_exists(self, u, v):
-107        pass
-108
-109    @abstractmethod
-110    def edge_exists(self, u, v):
-111        pass
 
    
 
 
@@ -1104,9 +1029,9 @@ 
    Inherited Members
    - 
    69    @abstractmethod
-70    def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]:
-71        pass
+            
    61    @abstractmethod
+62    def retrieve_edge_history(self, u, v, action: TestResultAction) -> List[TestResult]:
+63        pass
 
    
 
 
@@ -1125,9 +1050,9 @@ 
    Inherited Members
    - 
    73    @abstractmethod
-74    def add_edge_history(self, u, v, action: TestResult):
-75        pass
+            
    65    @abstractmethod
+66    def add_edge_history(self, u, v, action: TestResult):
+67        pass
 
    
 
 
@@ -1146,9 +1071,9 @@ 
    Inherited Members
    - 
    77    @abstractmethod
-78    def add_edge(self, u, v, w):
-79        pass
+            
    69    @abstractmethod
+70    def add_edge(self, u, v, w):
+71        pass
 
    
 
 
@@ -1167,9 +1092,9 @@ 
    Inherited Members
    - 
    81    @abstractmethod
-82    def remove_edge(self, u, v):
-83        pass
+            
    73    @abstractmethod
+74    def remove_edge(self, u, v):
+75        pass
 
    
 
 
@@ -1188,9 +1113,9 @@ 
    Inherited Members
    - 
    85    @abstractmethod
-86    def remove_directed_edge(self, u, v):
-87        pass
+            
    77    @abstractmethod
+78    def remove_directed_edge(self, u, v):
+79        pass
 
    
 
 
@@ -1209,9 +1134,9 @@ 
    Inherited Members
    - 
    89    @abstractmethod
-90    def update_edge(self, u, v, w):
-91        pass
+            
    81    @abstractmethod
+82    def update_edge(self, u, v, w):
+83        pass
 
    
 
 
@@ -1230,9 +1155,9 @@ 
    Inherited Members
    - 
    93    @abstractmethod
-94    def add_node(self, name, values) -> NodeInterface:
-95        pass
+            
    85    @abstractmethod
+86    def add_node(self, name, values) -> NodeInterface:
+87        pass
 
    
 
 
@@ -1251,9 +1176,9 @@ 
    Inherited Members
    - 
    97    @abstractmethod
-98    def edge_value(self, u, v):
-99        pass
+            
    89    @abstractmethod
+90    def edge_value(self, u, v):
+91        pass
 
    
 
 
@@ -1272,9 +1197,9 @@ 
    Inherited Members
    - 
    101    @abstractmethod
-102    def undirected_edge_exists(self, u, v):
-103        pass
+            
    93    @abstractmethod
+94    def undirected_edge_exists(self, u, v):
+95        pass
 
    
 
 
@@ -1293,9 +1218,9 @@ 
    Inherited Members
    - 
    105    @abstractmethod
-106    def directed_edge_exists(self, u, v):
-107        pass
+            
    97    @abstractmethod
+98    def directed_edge_exists(self, u, v):
+99        pass
 
    
 
 
@@ -1314,9 +1239,9 @@ 
    Inherited Members
    - 
    109    @abstractmethod
-110    def edge_exists(self, u, v):
-111        pass
+            
    101    @abstractmethod
+102    def edge_exists(self, u, v):
+103        pass
 
    
 
 
@@ -1335,20 +1260,20 @@ 
    Inherited Members
    - 
    114class GraphModelInterface(ABC):
-115    pool: multiprocessing.Pool
+            
    106class GraphModelInterface(ABC):
+107    pool: multiprocessing.Pool
+108
+109    @abstractmethod
+110    def create_graph_from_data(self, data: List[Dict]):
+111        pass
+112
+113    @abstractmethod
+114    def execute_pipeline_steps(self):
+115        pass
 116
 117    @abstractmethod
-118    def create_graph_from_data(self, data: List[Dict]):
+118    def execute_pipeline_step(self, step):
 119        pass
-120
-121    @abstractmethod
-122    def execute_pipeline_steps(self):
-123        pass
-124
-125    @abstractmethod
-126    def execute_pipeline_step(self, step):
-127        pass
 
    
 
 
@@ -1359,7 +1284,7 @@ 
    Inherited Members
    
 
                             
    
                                 
    
-            pool: <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x108d4e850>>
+            pool: <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x10c5aed90>>
 
         
     
    
@@ -1380,9 +1305,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    117    @abstractmethod
-118    def create_graph_from_data(self, data: List[Dict]):
-119        pass
+            
    109    @abstractmethod
+110    def create_graph_from_data(self, data: List[Dict]):
+111        pass
 
    
 
 
@@ -1401,9 +1326,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    121    @abstractmethod
-122    def execute_pipeline_steps(self):
-123        pass
+            
    113    @abstractmethod
+114    def execute_pipeline_steps(self):
+115        pass
 
    
 
 
@@ -1422,9 +1347,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    125    @abstractmethod
-126    def execute_pipeline_step(self, step):
-127        pass
+            
    117    @abstractmethod
+118    def execute_pipeline_step(self, step):
+119        pass
 
    
 
 
@@ -1437,41 +1362,30 @@ 
    Inherited Members
    
 
    
             
     class
-    GeneratorInterface(abc.ABC):
+    GeneratorInterface(abc.ABC, causy.serialization.SerializeMixin):
 
                 
 
     
    
     
-            
    130class GeneratorInterface(ABC):
-131    comparison_settings: ComparisonSettings
-132    chunked: bool = False
-133
-134    @abstractmethod
-135    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-136        pass
-137
-138    def serialize(self) -> dict:
-139        return {
-140            "name": serialize_module_name(self),
-141            "params": {
-142                "comparison_settings": self.comparison_settings.serialize()
-143                if self.comparison_settings
-144                else None,
-145                "chunked": self.chunked,
-146            },
-147        }
-148
-149    def __init__(self, comparison_settings: ComparisonSettings, chunked: bool = None):
-150        if isinstance(comparison_settings, dict):
-151            comparison_settings = load_pipeline_artefact_by_definition(
-152                comparison_settings
-153            )
-154
-155        if chunked is not None:
-156            self.chunked = chunked
-157
-158        self.comparison_settings = comparison_settings
+            
    122class GeneratorInterface(ABC, SerializeMixin):
+123    comparison_settings: ComparisonSettings
+124    chunked: bool = False
+125
+126    @abstractmethod
+127    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+128        pass
+129
+130    def __init__(self, comparison_settings: ComparisonSettings, chunked: bool = None):
+131        if isinstance(comparison_settings, dict):
+132            comparison_settings = load_pipeline_artefact_by_definition(
+133                comparison_settings
+134            )
+135
+136        if chunked is not None:
+137            self.chunked = chunked
+138
+139        self.comparison_settings = comparison_settings
 
    
 
 
@@ -1515,41 +1429,23 @@ 
    Inherited Members
    
 
     
    
     
-            
    134    @abstractmethod
-135    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-136        pass
+            
    126    @abstractmethod
+127    def generate(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+128        pass
 
    
 
 
     
 
                             
    
-                            
    
-                                        
-
    
-            
-        def
-        serialize(self) -> dict:
-
-                
-
-    
    
-    
-            
    138    def serialize(self) -> dict:
-139        return {
-140            "name": serialize_module_name(self),
-141            "params": {
-142                "comparison_settings": self.comparison_settings.serialize()
-143                if self.comparison_settings
-144                else None,
-145                "chunked": self.chunked,
-146            },
-147        }
-
    
-
-
-    
+                            
    
+                                
    Inherited Members
    
+                                
    
+                                    
+                                
    
                             
    
                 
                 
    
@@ -1557,76 +1453,64 @@ 
    Inherited Members
    
 
    
             
     class
-    IndependenceTestInterface(abc.ABC):
+    IndependenceTestInterface(abc.ABC, causy.serialization.SerializeMixin):
 
                 
 
     
    
     
-            
    161class IndependenceTestInterface(ABC):
-162    NUM_OF_COMPARISON_ELEMENTS: int = 0
-163    GENERATOR: Optional[GeneratorInterface] = None
-164
-165    CHUNK_SIZE_PARALLEL_PROCESSING: int = 1
-166
-167    PARALLEL: bool = True
-168
-169    def __init__(
-170        self,
-171        threshold: float = DEFAULT_THRESHOLD,
-172        generator: Optional[GeneratorInterface] = None,
-173        num_of_comparison_elements: int = None,
-174        chunk_size_parallel_processing: int = None,
-175        parallel: bool = None,
-176    ):
-177        if generator:
-178            if isinstance(generator, dict):
-179                self.GENERATOR = load_pipeline_artefact_by_definition(generator)
-180            else:
-181                self.GENERATOR = generator
-182
-183        if num_of_comparison_elements:
-184            if isinstance(num_of_comparison_elements, dict):
-185                self.NUM_OF_COMPARISON_ELEMENTS = load_pipeline_artefact_by_definition(
-186                    num_of_comparison_elements
-187                )
-188            else:
-189                self.NUM_OF_COMPARISON_ELEMENTS = num_of_comparison_elements
-190
-191        if chunk_size_parallel_processing:
-192            self.CHUNK_SIZE_PARALLEL_PROCESSING = chunk_size_parallel_processing
-193
-194        if parallel:
-195            self.PARALLEL = parallel
-196
-197        self.threshold = threshold
-198
-199    @abstractmethod
-200    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
-201        """
-202        Test if x and y are independent
-203        :param x: x values
-204        :param y: y values
-205        :return: True if independent, False otherwise
-206        """
-207        pass
-208
-209    def __call__(
-210        self, nodes: List[str], graph: BaseGraphInterface
-211    ) -> Optional[TestResult]:
-212        return self.test(nodes, graph)
-213
-214    def serialize(self) -> dict:
-215        return {
-216            "name": serialize_module_name(self),
-217            "params": {
-218                "threshold": self.threshold,
-219                "generator": self.GENERATOR.serialize(),
-220                "num_of_comparison_elements": self.NUM_OF_COMPARISON_ELEMENTS,
-221                "chunk_size_parallel_processing": self.CHUNK_SIZE_PARALLEL_PROCESSING,
-222                "parallel": self.PARALLEL,
-223            },
-224        }
+            
    142class IndependenceTestInterface(ABC, SerializeMixin):
+143    num_of_comparison_elements: int = 0
+144    generator: Optional[GeneratorInterface] = None
+145
+146    chunk_size_parallel_processing: int = 1
+147
+148    parallel: bool = True
+149
+150    def __init__(
+151        self,
+152        threshold: float = DEFAULT_THRESHOLD,
+153        generator: Optional[GeneratorInterface] = None,
+154        num_of_comparison_elements: int = None,
+155        chunk_size_parallel_processing: int = None,
+156        parallel: bool = None,
+157    ):
+158        if generator:
+159            if isinstance(generator, dict):
+160                self.generator = load_pipeline_artefact_by_definition(generator)
+161            else:
+162                self.generator = generator
+163
+164        if num_of_comparison_elements:
+165            if isinstance(num_of_comparison_elements, dict):
+166                self.num_of_comparison_elements = load_pipeline_artefact_by_definition(
+167                    num_of_comparison_elements
+168                )
+169            else:
+170                self.num_of_comparison_elements = num_of_comparison_elements
+171
+172        if chunk_size_parallel_processing:
+173            self.chunk_size_parallel_processing = chunk_size_parallel_processing
+174
+175        if parallel:
+176            self.parallel = parallel
+177
+178        self.threshold = threshold
+179
+180    @abstractmethod
+181    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
+182        """
+183        Test if x and y are independent
+184        :param x: x values
+185        :param y: y values
+186        :return: True if independent, False otherwise
+187        """
+188        pass
+189
+190    def __call__(
+191        self, nodes: List[str], graph: BaseGraphInterface
+192    ) -> Optional[TestResult]:
+193        return self.test(nodes, graph)
 
    
 
 
@@ -1635,50 +1519,50 @@ 
    Inherited Members
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            NUM_OF_COMPARISON_ELEMENTS: int        =
+            num_of_comparison_elements: int        =
 0
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            GENERATOR: Optional[GeneratorInterface]        =
+            generator: Optional[GeneratorInterface]        =
 None
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING: int        =
+            chunk_size_parallel_processing: int        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL: bool        =
+            parallel: bool        =
 True
 
         
     
    
-    
+    
     
     
 
@@ -1706,15 +1590,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    199    @abstractmethod
-200    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
-201        """
-202        Test if x and y are independent
-203        :param x: x values
-204        :param y: y values
-205        :return: True if independent, False otherwise
-206        """
-207        pass
+            
    180    @abstractmethod
+181    def test(self, nodes: List[str], graph: BaseGraphInterface) -> Optional[TestResult]:
+182        """
+183        Test if x and y are independent
+184        :param x: x values
+185        :param y: y values
+186        :return: True if independent, False otherwise
+187        """
+188        pass
 
    
 
 
@@ -1736,33 +1620,14 @@ 
    Returns
    
 
 
                             
    
-                            
    
-                                        
-
    
-            
-        def
-        serialize(self) -> dict:
-
-                
-
-    
    
-    
-            
    214    def serialize(self) -> dict:
-215        return {
-216            "name": serialize_module_name(self),
-217            "params": {
-218                "threshold": self.threshold,
-219                "generator": self.GENERATOR.serialize(),
-220                "num_of_comparison_elements": self.NUM_OF_COMPARISON_ELEMENTS,
-221                "chunk_size_parallel_processing": self.CHUNK_SIZE_PARALLEL_PROCESSING,
-222                "parallel": self.PARALLEL,
-223            },
-224        }
-
    
-
-
-    
+                            
    
+                                
    Inherited Members
    
+                                
    
+                                    
+                                
    
                             
    
                 
    
                 
    
@@ -1770,21 +1635,16 @@ 
    Returns
    
 
    
             
     class
-    LogicStepInterface(abc.ABC):
+    LogicStepInterface(abc.ABC, causy.serialization.SerializeMixin):
 
                 
 
     
    
     
-            
    227class LogicStepInterface(ABC):
-228    @abstractmethod
-229    def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-230        pass
-231
-232    def serialize(self) -> dict:
-233        return {
-234            "name": serialize_module_name(self),
-235        }
+            
    196class LogicStepInterface(ABC, SerializeMixin):
+197    @abstractmethod
+198    def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+199        pass
 
    
 
 
@@ -1805,35 +1665,23 @@ 
    Returns
    
 
     
    
     
-            
    228    @abstractmethod
-229    def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict):
-230        pass
+            
    197    @abstractmethod
+198    def execute(self, graph: BaseGraphInterface, graph_model_instance_: dict):
+199        pass
 
    
 
 
     
 
                             
    
-                            
    
-                                        
-
    
-            
-        def
-        serialize(self) -> dict:
-
-                
-
-    
    
-    
-            
    232    def serialize(self) -> dict:
-233        return {
-234            "name": serialize_module_name(self),
-235        }
-
    
-
-
-    
+                            
    
+                                
    Inherited Members
    
+                                
    
+                                    
+                                
    
                             
    
                 
    
                 
    
@@ -1841,43 +1689,38 @@ 
    Returns
    
 
    
             
     class
-    ExitConditionInterface(abc.ABC):
+    ExitConditionInterface(abc.ABC, causy.serialization.SerializeMixin):
 
                 
 
     
    
     
-            
    238class ExitConditionInterface(ABC):
-239    @abstractmethod
-240    def check(
-241        self,
-242        graph: BaseGraphInterface,
-243        graph_model_instance_: GraphModelInterface,
-244        actions_taken: List[TestResult],
-245        iteration: int,
-246    ) -> bool:
-247        """
-248        :param graph:
-249        :param graph_model_instance_:
-250        :param actions_taken:
-251        :param iteration:
-252        :return: True if you want to break an iteration, False otherwise
-253        """
-254        pass
-255
-256    def __call__(
-257        self,
-258        graph: BaseGraphInterface,
-259        graph_model_instance_: GraphModelInterface,
-260        actions_taken: List[TestResult],
-261        iteration: int,
-262    ) -> bool:
-263        return self.check(graph, graph_model_instance_, actions_taken, iteration)
-264
-265    def serialize(self):
-266        return {
-267            "name": serialize_module_name(self),
-268        }
+            
    202class ExitConditionInterface(ABC, SerializeMixin):
+203    @abstractmethod
+204    def check(
+205        self,
+206        graph: BaseGraphInterface,
+207        graph_model_instance_: GraphModelInterface,
+208        actions_taken: List[TestResult],
+209        iteration: int,
+210    ) -> bool:
+211        """
+212        :param graph:
+213        :param graph_model_instance_:
+214        :param actions_taken:
+215        :param iteration:
+216        :return: True if you want to break an iteration, False otherwise
+217        """
+218        pass
+219
+220    def __call__(
+221        self,
+222        graph: BaseGraphInterface,
+223        graph_model_instance_: GraphModelInterface,
+224        actions_taken: List[TestResult],
+225        iteration: int,
+226    ) -> bool:
+227        return self.check(graph, graph_model_instance_, actions_taken, iteration)
 
    
 
 
@@ -1898,22 +1741,22 @@ 
    Returns
    
 
     
    
     
-            
    239    @abstractmethod
-240    def check(
-241        self,
-242        graph: BaseGraphInterface,
-243        graph_model_instance_: GraphModelInterface,
-244        actions_taken: List[TestResult],
-245        iteration: int,
-246    ) -> bool:
-247        """
-248        :param graph:
-249        :param graph_model_instance_:
-250        :param actions_taken:
-251        :param iteration:
-252        :return: True if you want to break an iteration, False otherwise
-253        """
-254        pass
+            
    203    @abstractmethod
+204    def check(
+205        self,
+206        graph: BaseGraphInterface,
+207        graph_model_instance_: GraphModelInterface,
+208        actions_taken: List[TestResult],
+209        iteration: int,
+210    ) -> bool:
+211        """
+212        :param graph:
+213        :param graph_model_instance_:
+214        :param actions_taken:
+215        :param iteration:
+216        :return: True if you want to break an iteration, False otherwise
+217        """
+218        pass
 
    
 
 
@@ -1935,26 +1778,14 @@ 
    Returns
    
 
 
                             
    
-                            
    
-                                        
-
    
-            
-        def
-        serialize(self):
-
-                
-
-    
    
-    
-            
    265    def serialize(self):
-266        return {
-267            "name": serialize_module_name(self),
-268        }
-
    
-
-
-    
+                            
    
+                                
    Inherited Members
    
+                                
    
+                                    
+                                
    
                             
    
                 
    
     
diff --git a/causy/orientation_tests.html b/causy/orientation_tests.html
index a316242..e4c88d4 100644
--- a/causy/orientation_tests.html
+++ b/causy/orientation_tests.html
@@ -34,13 +34,13 @@ 
    API Documentation
    
                     ColliderTest
                             
    
     
             
    18class ColliderTest(IndependenceTestInterface):
-19    GENERATOR = AllCombinationsGenerator(
+19    generator = AllCombinationsGenerator(
 20        comparison_settings=ComparisonSettings(min=2, max=2)
 21    )
-22    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-23    PARALLEL = False
+22    chunk_size_parallel_processing = 1
+23    parallel = False
 24
 25    def test(
 26        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -592,38 +592,38 @@ 
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            GENERATOR        =
+            generator        =
 <causy.generators.AllCombinationsGenerator object>
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING        =
+            chunk_size_parallel_processing        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL        =
+            parallel        =
 False
 
         
     
    
-    
+    
     
     
 
@@ -721,9 +721,12 @@ 
    Inherited Members
    
                                 
    
                                     
+            
                                 
    
@@ -741,11 +744,11 @@ 
    Inherited Members
    
     
    
     
             
     84class NonColliderTest(IndependenceTestInterface):
- 85    GENERATOR = AllCombinationsGenerator(
+ 85    generator = AllCombinationsGenerator(
  86        comparison_settings=ComparisonSettings(min=2, max=2)
  87    )
- 88    CHUNK_SIZE_PARALLEL_PROCESSING = 1
- 89    PARALLEL = False
+ 88    chunk_size_parallel_processing = 1
+ 89    parallel = False
  90
  91    def test(
  92        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -810,38 +813,38 @@ 
    Inherited Members
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            GENERATOR        =
+            generator        =
 <causy.generators.AllCombinationsGenerator object>
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING        =
+            chunk_size_parallel_processing        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL        =
+            parallel        =
 False
 
         
     
    
-    
+    
     
     
 
@@ -934,9 +937,12 @@ 
    Inherited Members
    
                                 
    
                                     
+            
                                 
    
@@ -954,11 +960,11 @@ 
    Inherited Members
    
     
    
     
             
    148class FurtherOrientTripleTest(IndependenceTestInterface):
-149    GENERATOR = AllCombinationsGenerator(
+149    generator = AllCombinationsGenerator(
 150        comparison_settings=ComparisonSettings(min=2, max=2)
 151    )
-152    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-153    PARALLEL = False
+152    chunk_size_parallel_processing = 1
+153    parallel = False
 154
 155    def test(
 156        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -1015,38 +1021,38 @@ 
    Inherited Members
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            GENERATOR        =
+            generator        =
 <causy.generators.AllCombinationsGenerator object>
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING        =
+            chunk_size_parallel_processing        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL        =
+            parallel        =
 False
 
         
     
    
-    
+    
     
     
 
@@ -1130,9 +1136,12 @@ 
    Inherited Members
    
                                 
    
                                     
+            
                                 
    
@@ -1150,11 +1159,11 @@ 
    Inherited Members
    
     
    
     
             
    204class OrientQuadrupleTest(IndependenceTestInterface):
-205    GENERATOR = AllCombinationsGenerator(
+205    generator = AllCombinationsGenerator(
 206        comparison_settings=ComparisonSettings(min=2, max=2)
 207    )
-208    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-209    PARALLEL = False
+208    chunk_size_parallel_processing = 1
+209    parallel = False
 210
 211    def test(
 212        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -1221,38 +1230,38 @@ 
    Inherited Members
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            GENERATOR        =
+            generator        =
 <causy.generators.AllCombinationsGenerator object>
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING        =
+            chunk_size_parallel_processing        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL        =
+            parallel        =
 False
 
         
     
    
-    
+    
     
     
 
@@ -1346,9 +1355,12 @@ 
    Inherited Members
    
                                 
    
                                     
+            
                                 
    
@@ -1366,11 +1378,11 @@ 
    Inherited Members
    
     
    
     
             
    270class FurtherOrientQuadrupleTest(IndependenceTestInterface):
-271    GENERATOR = AllCombinationsGenerator(
+271    generator = AllCombinationsGenerator(
 272        comparison_settings=ComparisonSettings(min=2, max=2)
 273    )
-274    CHUNK_SIZE_PARALLEL_PROCESSING = 1
-275    PARALLEL = False
+274    chunk_size_parallel_processing = 1
+275    parallel = False
 276
 277    def test(
 278        self, nodes: Tuple[str], graph: BaseGraphInterface
@@ -1469,38 +1481,38 @@ 
    Inherited Members
    
 
    
 
 
-                            
    
+                            
    
                                 
    
-            GENERATOR        =
+            generator        =
 <causy.generators.AllCombinationsGenerator object>
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            CHUNK_SIZE_PARALLEL_PROCESSING        =
+            chunk_size_parallel_processing        =
 1
 
         
     
    
-    
+    
     
     
 
                             
    
-                            
    
+                            
    
                                 
    
-            PARALLEL        =
+            parallel        =
 False
 
         
     
    
-    
+    
     
     
 
@@ -1626,9 +1638,12 @@ 
    Inherited Members
    
                                 
    
                                     
+            
                                 
    
diff --git a/causy/serialization.html b/causy/serialization.html
new file mode 100644
index 0000000..a6653ef
--- /dev/null
+++ b/causy/serialization.html
@@ -0,0 +1,439 @@
+
+
+
+    
+    
+    
+    causy.serialization API documentation
+
+    
+    
+    
+    
+    
+    
+
+    
+    
    
+            
    
+                    
    
+causy.serialization    
    
+
+                
+                        
+
+                        
+
+                        
     1from causy.utils import serialize_module_name, load_pipeline_artefact_by_definition
+ 2
+ 3
+ 4def serialize_model(model, algorithm_name: str = None):
+ 5    """Serialize the model into a dictionary."""
+ 6    output = []
+ 7    for step in model.pipeline_steps:
+ 8        output.append(step.serialize())
+ 9
+10    return {"name": algorithm_name, "steps": output}
+11
+12
+13class SerializeMixin:
+14    """Mixin class for serializing and deserializing graph steps."""
+15
+16    def _serialize_object(self, obj):
+17        """Serialize the object into a dictionary."""
+18        result = {}
+19        for attr in [
+20            attr
+21            for attr in dir(obj)
+22            if not attr.startswith("__") and not attr.startswith("_")
+23        ]:
+24            if type(getattr(self, attr)) in [int, float, str, bool, type(None)]:
+25                result[attr] = getattr(self, attr)
+26            elif isinstance(getattr(self, attr), SerializeMixin):
+27                result[attr] = getattr(self, attr).serialize()
+28            elif isinstance(getattr(self, attr), list):
+29                result[attr] = [
+30                    x.serialize() if isinstance(x, SerializeMixin) else x
+31                    for x in getattr(self, attr)
+32                ]
+33            elif isinstance(getattr(self, attr), dict):
+34                result[attr] = {
+35                    x.serialize() if isinstance(x, SerializeMixin) else x
+36                    for x in getattr(self, attr)
+37                }
+38            elif isinstance(getattr(self, attr), tuple):
+39                # tuples are immutable, so we have to convert them to lists
+40                result[attr] = [
+41                    x.serialize() if isinstance(x, SerializeMixin) else x
+42                    for x in getattr(self, attr)
+43                ]
+44            elif isinstance(getattr(self, attr), set):
+45                # sets are immutable, so we have to convert them to lists
+46                result[attr] = [
+47                    x.serialize() if isinstance(x, SerializeMixin) else x
+48                    for x in getattr(self, attr)
+49                ]
+50
+51        return result
+52
+53    def serialize(self):
+54        """Serialize the object into a dictionary."""
+55        # get all attributes of the class and its children
+56        params = self._serialize_object(self.__class__)
+57        params.update(self._serialize_object(self))
+58
+59        return {
+60            "name": serialize_module_name(self),
+61            "params": params,
+62        }
+
    
+
+
+            
    
+                
    
+                            
+
    
+            
+        def
+        serialize_model(model, algorithm_name: str = None):
+
+                
+
+    
    
+    
+            
     5def serialize_model(model, algorithm_name: str = None):
+ 6    """Serialize the model into a dictionary."""
+ 7    output = []
+ 8    for step in model.pipeline_steps:
+ 9        output.append(step.serialize())
+10
+11    return {"name": algorithm_name, "steps": output}
+
    
+
+
+            
    Serialize the model into a dictionary.
    
+
    
+
+
+                
    
+                
    
+                            
+
    
+            
+    class
+    SerializeMixin:
+
+                
+
+    
    
+    
+            
    14class SerializeMixin:
+15    """Mixin class for serializing and deserializing graph steps."""
+16
+17    def _serialize_object(self, obj):
+18        """Serialize the object into a dictionary."""
+19        result = {}
+20        for attr in [
+21            attr
+22            for attr in dir(obj)
+23            if not attr.startswith("__") and not attr.startswith("_")
+24        ]:
+25            if type(getattr(self, attr)) in [int, float, str, bool, type(None)]:
+26                result[attr] = getattr(self, attr)
+27            elif isinstance(getattr(self, attr), SerializeMixin):
+28                result[attr] = getattr(self, attr).serialize()
+29            elif isinstance(getattr(self, attr), list):
+30                result[attr] = [
+31                    x.serialize() if isinstance(x, SerializeMixin) else x
+32                    for x in getattr(self, attr)
+33                ]
+34            elif isinstance(getattr(self, attr), dict):
+35                result[attr] = {
+36                    x.serialize() if isinstance(x, SerializeMixin) else x
+37                    for x in getattr(self, attr)
+38                }
+39            elif isinstance(getattr(self, attr), tuple):
+40                # tuples are immutable, so we have to convert them to lists
+41                result[attr] = [
+42                    x.serialize() if isinstance(x, SerializeMixin) else x
+43                    for x in getattr(self, attr)
+44                ]
+45            elif isinstance(getattr(self, attr), set):
+46                # sets are immutable, so we have to convert them to lists
+47                result[attr] = [
+48                    x.serialize() if isinstance(x, SerializeMixin) else x
+49                    for x in getattr(self, attr)
+50                ]
+51
+52        return result
+53
+54    def serialize(self):
+55        """Serialize the object into a dictionary."""
+56        # get all attributes of the class and its children
+57        params = self._serialize_object(self.__class__)
+58        params.update(self._serialize_object(self))
+59
+60        return {
+61            "name": serialize_module_name(self),
+62            "params": params,
+63        }
+
    
+
+
+            
    Mixin class for serializing and deserializing graph steps.
    
+
    
+
+
+                            
    
+                                        
+
    
+            
+        def
+        serialize(self):
+
+                
+
+    
    
+    
+            
    54    def serialize(self):
+55        """Serialize the object into a dictionary."""
+56        # get all attributes of the class and its children
+57        params = self._serialize_object(self.__class__)
+58        params.update(self._serialize_object(self))
+59
+60        return {
+61            "name": serialize_module_name(self),
+62            "params": params,
+63        }
+
    
+
+
+            
    Serialize the object into a dictionary.
    
+
    
+
+
+                            
    
+                
    
+    
    
+
+
\ No newline at end of file
diff --git a/search.js b/search.js
index 8e07957..13bb6eb 100644
--- a/search.js
+++ b/search.js
@@ -1,6 +1,6 @@
 window.pdocSearch = (function(){
 /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var 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this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return 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    \n"}, "causy.algorithms": {"fullname": "causy.algorithms", "modulename": "causy.algorithms", "kind": "module", "doc": "
    \n"}, "causy.algorithms.pc": {"fullname": "causy.algorithms.pc", "modulename": "causy.algorithms.pc", "kind": "module", "doc": "
    \n"}, "causy.algorithms.pc.PC": {"fullname": "causy.algorithms.pc.PC", "modulename": "causy.algorithms.pc", "qualname": "PC", "kind": "variable", "doc": "
    \n", "default_value": "<class 'causy.graph.graph_model_factory.<locals>.GraphModel'>"}, "causy.algorithms.pc.ParallelPC": {"fullname": "causy.algorithms.pc.ParallelPC", "modulename": "causy.algorithms.pc", "qualname": "ParallelPC", "kind": "variable", "doc": "
    \n", "default_value": "<class 'causy.graph.graph_model_factory.<locals>.GraphModel'>"}, "causy.cli": {"fullname": "causy.cli", "modulename": "causy.cli", "kind": "module", "doc": "
    \n"}, "causy.cli.app": {"fullname": "causy.cli.app", "modulename": "causy.cli", "qualname": "app", "kind": "variable", "doc": "
    \n", "default_value": "<typer.main.Typer object>"}, "causy.cli.load_json": {"fullname": "causy.cli.load_json", "modulename": "causy.cli", "qualname": "load_json", "kind": "function", "doc": "
    \n", "signature": "(pipeline_file: str):", "funcdef": "def"}, "causy.cli.load_algorithm": {"fullname": "causy.cli.load_algorithm", "modulename": "causy.cli", "qualname": "load_algorithm", "kind": "function", "doc": "
    \n", "signature": "(algorithm: str):", "funcdef": "def"}, "causy.cli.create_pipeline": {"fullname": "causy.cli.create_pipeline", "modulename": "causy.cli", "qualname": "create_pipeline", "kind": "function", "doc": "
    \n", "signature": "(pipeline_config: dict):", "funcdef": "def"}, "causy.cli.MyJSONEncoder": {"fullname": "causy.cli.MyJSONEncoder", "modulename": "causy.cli", "qualname": "MyJSONEncoder", "kind": "class", "doc": "
    Extensible JSON https://json.org encoder for Python data structures.
    \n\n
    Supports the following objects and types by default:
    \n\n
    +-------------------+---------------+\n| Python            | JSON          |\n+===================+===============+\n| dict              | object        |\n+-------------------+---------------+\n| list, tuple       | array         |\n+-------------------+---------------+\n| str               | string        |\n+-------------------+---------------+\n| int, float        | number        |\n+-------------------+---------------+\n| True              | true          |\n+-------------------+---------------+\n| False             | false         |\n+-------------------+---------------+\n| None              | null          |\n+-------------------+---------------+
    \n\n
    To extend this to recognize other objects, subclass and implement a\n.default() method with another method that returns a serializable\nobject for o if possible, otherwise it should call the superclass\nimplementation (to raise TypeError).
    \n", "bases": "json.encoder.JSONEncoder"}, "causy.cli.MyJSONEncoder.default": {"fullname": "causy.cli.MyJSONEncoder.default", "modulename": "causy.cli", "qualname": "MyJSONEncoder.default", "kind": "function", "doc": "
    Implement this method in a subclass such that it returns\na serializable object for o, or calls the base implementation\n(to raise a TypeError).
    \n\n
    For example, to support arbitrary iterators, you could\nimplement default like this::
    \n\n
    def default(self, o):\n    try:\n        iterable = iter(o)\n    except TypeError:\n        pass\n    else:\n        return list(iterable)\n    # Let the base class default method raise the TypeError\n    return JSONEncoder.default(self, o)\n
    \n", "signature": "(self, obj):", "funcdef": "def"}, "causy.cli.eject": {"fullname": "causy.cli.eject", "modulename": "causy.cli", "qualname": "eject", "kind": "function", "doc": "
    \n", "signature": "(algorithm: str, output_file: str):", "funcdef": "def"}, "causy.cli.execute": {"fullname": "causy.cli.execute", "modulename": "causy.cli", "qualname": "execute", "kind": "function", "doc": "
    \n", "signature": "(\tdata_file: str,\tpipeline: str = None,\talgorithm: str = None,\toutput_file: str = None,\trender_save_file: str = None,\tlog_level: str = 'ERROR'):", "funcdef": "def"}, "causy.cli.visualize": {"fullname": "causy.cli.visualize", "modulename": "causy.cli", "qualname": "visualize", "kind": "function", "doc": "
    \n", "signature": "(output: str):", "funcdef": "def"}, "causy.exit_conditions": {"fullname": "causy.exit_conditions", "modulename": "causy.exit_conditions", "kind": "module", "doc": "
    \n"}, "causy.exit_conditions.ExitOnNoActions": {"fullname": "causy.exit_conditions.ExitOnNoActions", "modulename": "causy.exit_conditions", "qualname": "ExitOnNoActions", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.ExitConditionInterface"}, "causy.exit_conditions.ExitOnNoActions.check": {"fullname": "causy.exit_conditions.ExitOnNoActions.check", "modulename": "causy.exit_conditions", "qualname": "ExitOnNoActions.check", "kind": "function", "doc": "
    Check if there are no actions taken in the last iteration and if so, break the loop\nIf it is the first iteration, do not break the loop (we need to execute the first step)
    \n\n
    Parameters
    \n\n
      \n
    • graph:  the graph
      • \n
    • graph_model_instance_:  the graph model instance
      • \n
    • actions_taken:  the actions taken in the last iteration
      • \n
    • iteration:  iteration number
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if you want to break an iteration, False otherwise
    \n
    \n", "signature": "(self, graph, graph_model_instance_, actions_taken, iteration) -> bool:", "funcdef": "def"}, "causy.generators": {"fullname": "causy.generators", "modulename": "causy.generators", "kind": "module", "doc": "
    \n"}, "causy.generators.logger": {"fullname": "causy.generators.logger", "modulename": "causy.generators", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.generators (WARNING)>"}, "causy.generators.AllCombinationsGenerator": {"fullname": "causy.generators.AllCombinationsGenerator", "modulename": "causy.generators", "qualname": "AllCombinationsGenerator", "kind": "class", "doc": "
    Generates all combinations of nodes in the graph
    \n", "bases": "causy.interfaces.GeneratorInterface"}, "causy.generators.AllCombinationsGenerator.generate": {"fullname": "causy.generators.AllCombinationsGenerator.generate", "modulename": "causy.generators", "qualname": "AllCombinationsGenerator.generate", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface):", "funcdef": "def"}, "causy.generators.PairsWithNeighboursGenerator": {"fullname": "causy.generators.PairsWithNeighboursGenerator", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator", "kind": "class", "doc": "
    Generates all combinations of pairs of nodes with their neighbours
    \n", "bases": "causy.interfaces.GeneratorInterface"}, "causy.generators.PairsWithNeighboursGenerator.__init__": {"fullname": "causy.generators.PairsWithNeighboursGenerator.__init__", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tcomparison_settings: causy.interfaces.ComparisonSettings,\tchunked: bool = None,\tshuffle_combinations: bool = None)"}, "causy.generators.PairsWithNeighboursGenerator.shuffle_combinations": {"fullname": "causy.generators.PairsWithNeighboursGenerator.shuffle_combinations", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator.shuffle_combinations", "kind": "variable", "doc": "
    \n", "default_value": "True"}, "causy.generators.PairsWithNeighboursGenerator.chunked": {"fullname": "causy.generators.PairsWithNeighboursGenerator.chunked", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator.chunked", "kind": "variable", "doc": "
    \n", "default_value": "True"}, "causy.generators.PairsWithNeighboursGenerator.serialize": {"fullname": "causy.generators.PairsWithNeighboursGenerator.serialize", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator.serialize", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.generators.PairsWithNeighboursGenerator.generate": {"fullname": "causy.generators.PairsWithNeighboursGenerator.generate", "modulename": "causy.generators", "qualname": "PairsWithNeighboursGenerator.generate", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface):", "funcdef": "def"}, "causy.generators.RandomSampleGenerator": {"fullname": "causy.generators.RandomSampleGenerator", "modulename": "causy.generators", "qualname": "RandomSampleGenerator", "kind": "class", "doc": "
    Executes another generator and returns a random sample of the results
    \n", "bases": "causy.interfaces.GeneratorInterface"}, "causy.generators.RandomSampleGenerator.__init__": {"fullname": "causy.generators.RandomSampleGenerator.__init__", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tcomparison_settings: causy.interfaces.ComparisonSettings = None,\tchunked: bool = None,\tevery_nth: int = None,\tgenerator: causy.interfaces.GeneratorInterface = None)"}, "causy.generators.RandomSampleGenerator.every_nth": {"fullname": "causy.generators.RandomSampleGenerator.every_nth", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.every_nth", "kind": "variable", "doc": "
    \n", "default_value": "100"}, "causy.generators.RandomSampleGenerator.serialize": {"fullname": "causy.generators.RandomSampleGenerator.serialize", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.serialize", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.generators.RandomSampleGenerator.generate": {"fullname": "causy.generators.RandomSampleGenerator.generate", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.generate", "kind": "function", "doc": "
    Executes another generator and returns a random sample of the results
    \n\n
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    \n\n
    Returns
    \n\n
    \n  
    yields a random sample of the results
    \n
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.graph": {"fullname": "causy.graph", "modulename": "causy.graph", "kind": "module", "doc": "
    \n"}, "causy.graph.logger": {"fullname": "causy.graph.logger", "modulename": "causy.graph", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.graph (WARNING)>"}, "causy.graph.Node": {"fullname": "causy.graph.Node", "modulename": "causy.graph", "qualname": "Node", "kind": "class", "doc": "
    \n", "bases": "causy.interfaces.NodeInterface"}, "causy.graph.Node.__init__": {"fullname": "causy.graph.Node.__init__", "modulename": "causy.graph", "qualname": "Node.__init__", "kind": "function", "doc": "
    \n", "signature": "(name: str, id: str, values: torch.Tensor)"}, "causy.graph.Node.name": {"fullname": "causy.graph.Node.name", "modulename": "causy.graph", "qualname": "Node.name", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.graph.Node.id": {"fullname": "causy.graph.Node.id", "modulename": "causy.graph", "qualname": "Node.id", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.graph.Node.values": {"fullname": "causy.graph.Node.values", "modulename": "causy.graph", "qualname": "Node.values", "kind": "variable", "doc": "
    \n", "annotation": ": torch.Tensor"}, "causy.graph.GraphError": {"fullname": "causy.graph.GraphError", "modulename": "causy.graph", "qualname": "GraphError", "kind": "class", "doc": "
    Common base class for all non-exit exceptions.
    \n", "bases": "builtins.Exception"}, "causy.graph.Graph": {"fullname": "causy.graph.Graph", "modulename": "causy.graph", "qualname": "Graph", "kind": "class", "doc": "
    The graph represents the internal data structure of causy. It is a simple graph with nodes and edges.\nBut it supports to be handled as a directed graph, undirected graph and bidirected graph, which is important to implement different algorithms in different stages.\nIt also stores the history of the actions taken on the graph.
    \n", "bases": "causy.interfaces.BaseGraphInterface"}, "causy.graph.Graph.nodes": {"fullname": "causy.graph.Graph.nodes", "modulename": "causy.graph", "qualname": "Graph.nodes", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, causy.graph.Node]"}, "causy.graph.Graph.edges": {"fullname": "causy.graph.Graph.edges", "modulename": "causy.graph", "qualname": "Graph.edges", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, Dict[str, Dict]]"}, "causy.graph.Graph.edge_history": {"fullname": "causy.graph.Graph.edge_history", "modulename": "causy.graph", "qualname": "Graph.edge_history", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[Tuple[str, str], List[causy.interfaces.TestResult]]"}, "causy.graph.Graph.action_history": {"fullname": "causy.graph.Graph.action_history", "modulename": "causy.graph", "qualname": "Graph.action_history", "kind": "variable", "doc": "
    \n", "annotation": ": List[Dict[str, List[causy.interfaces.TestResult]]]"}, "causy.graph.Graph.add_edge": {"fullname": "causy.graph.Graph.add_edge", "modulename": "causy.graph", "qualname": "Graph.add_edge", "kind": "function", "doc": "
    Add an edge to the graph
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node, value: Dict):", "funcdef": "def"}, "causy.graph.Graph.retrieve_edge_history": {"fullname": "causy.graph.Graph.retrieve_edge_history", "modulename": "causy.graph", "qualname": "Graph.retrieve_edge_history", "kind": "function", "doc": "
    Retrieve the edge history
    \n\n
    Parameters
    \n\n
      \n
    • u: 
      • \n
    • v: 
      • \n
    • action: 
      • \n
    \n\n
    Returns
    \n", "signature": "(\tself,\tu,\tv,\taction: causy.interfaces.TestResultAction = None) -> List[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.graph.Graph.add_edge_history": {"fullname": "causy.graph.Graph.add_edge_history", "modulename": "causy.graph", "qualname": "Graph.add_edge_history", "kind": "function", "doc": "
    Add an action to the edge history
    \n\n
    Parameters
    \n\n
      \n
    • u: 
      • \n
    • v: 
      • \n
    • action: 
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u, v, action: causy.interfaces.TestResult):", "funcdef": "def"}, "causy.graph.Graph.remove_edge": {"fullname": "causy.graph.Graph.remove_edge", "modulename": "causy.graph", "qualname": "Graph.remove_edge", "kind": "function", "doc": "
    Remove an edge from the graph (undirected)
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.remove_directed_edge": {"fullname": "causy.graph.Graph.remove_directed_edge", "modulename": "causy.graph", "qualname": "Graph.remove_directed_edge", "kind": "function", "doc": "
    Remove an edge from the graph
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.update_edge": {"fullname": "causy.graph.Graph.update_edge", "modulename": "causy.graph", "qualname": "Graph.update_edge", "kind": "function", "doc": "
    Update an undirected edge in the graph
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node, value: Dict):", "funcdef": "def"}, "causy.graph.Graph.update_directed_edge": {"fullname": "causy.graph.Graph.update_directed_edge", "modulename": "causy.graph", "qualname": "Graph.update_directed_edge", "kind": "function", "doc": "
    Update an edge in the graph
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node, value: Dict):", "funcdef": "def"}, "causy.graph.Graph.edge_exists": {"fullname": "causy.graph.Graph.edge_exists", "modulename": "causy.graph", "qualname": "Graph.edge_exists", "kind": "function", "doc": "
    Check if any edge exists between u and v. Cases: u -> v, u <-> v, u <- v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if any edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.directed_edge_exists": {"fullname": "causy.graph.Graph.directed_edge_exists", "modulename": "causy.graph", "qualname": "Graph.directed_edge_exists", "kind": "function", "doc": "
    Check if a directed edge exists between u and v. Cases: u -> v, u <-> v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if a directed edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.only_directed_edge_exists": {"fullname": "causy.graph.Graph.only_directed_edge_exists", "modulename": "causy.graph", "qualname": "Graph.only_directed_edge_exists", "kind": "function", "doc": "
    Check if a directed edge exists between u and v, but no directed edge exists between v and u. Case: u -> v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if only directed edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.undirected_edge_exists": {"fullname": "causy.graph.Graph.undirected_edge_exists", "modulename": "causy.graph", "qualname": "Graph.undirected_edge_exists", "kind": "function", "doc": "
    Check if an undirected edge exists between u and v. Note: currently, an undirected edges is implemented just as\na directed edge. However, they are two functions as they mean different things in different algorithms.\nCurrently, this function is used in the PC algorithm, where an undirected edge is an edge which could not be\noriented in any direction by orientation rules.\nLater, a cohersive naming scheme should be implemented.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if an undirected edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.bidirected_edge_exists": {"fullname": "causy.graph.Graph.bidirected_edge_exists", "modulename": "causy.graph", "qualname": "Graph.bidirected_edge_exists", "kind": "function", "doc": "
    Check if a bidirected edge exists between u and v. Note: currently, a bidirected edges is implemented just as\nan undirected edge. However, they are two functions as they mean different things in different algorithms.\nThis function will be used for the FCI algorithm for now, where a bidirected edge is an edge between two nodes\nthat have been identified to have a common cause by orientation rules.\nLater, a cohersive naming scheme should be implemented.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if a bidirected edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.edge_value": {"fullname": "causy.graph.Graph.edge_value", "modulename": "causy.graph", "qualname": "Graph.edge_value", "kind": "function", "doc": "
    retrieve the value of an edge
    \n\n
    Parameters
    \n\n
      \n
    • u: 
      • \n
    • v: 
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node) -> Optional[Dict]:", "funcdef": "def"}, "causy.graph.Graph.add_node": {"fullname": "causy.graph.Graph.add_node", "modulename": "causy.graph", "qualname": "Graph.add_node", "kind": "function", "doc": "
    Add a node to the graph
    \n\n
    Parameters
    \n\n
      \n
    • name:  name of the node
      • \n
    • values:  values of the node
      • \n
    • id_:  id_ of the node\n:param : node
      • \n
    \n\n
    Returns
    \n\n
    \n  
    created Node
    \n
    \n", "signature": "(\tself,\tname: str,\tvalues: List[float],\tid_: str = None) -> causy.graph.Node:", "funcdef": "def"}, "causy.graph.Graph.directed_path_exists": {"fullname": "causy.graph.Graph.directed_path_exists", "modulename": "causy.graph", "qualname": "Graph.directed_path_exists", "kind": "function", "doc": "
    Check if a directed path from u to v exists
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if a directed path exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.directed_paths": {"fullname": "causy.graph.Graph.directed_paths", "modulename": "causy.graph", "qualname": "Graph.directed_paths", "kind": "function", "doc": "
    Return all directed paths from u to v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    list of directed paths
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.inducing_path_exists": {"fullname": "causy.graph.Graph.inducing_path_exists", "modulename": "causy.graph", "qualname": "Graph.inducing_path_exists", "kind": "function", "doc": "
    Check if an inducing path from u to v exists.\nAn inducing path from u to v is a directed path from u to v on which all mediators are colliders.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if an inducing path exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.unpack_run": {"fullname": "causy.graph.unpack_run", "modulename": "causy.graph", "qualname": "unpack_run", "kind": "function", "doc": "
    \n", "signature": "(args):", "funcdef": "def"}, "causy.graph.AbstractGraphModel": {"fullname": "causy.graph.AbstractGraphModel", "modulename": "causy.graph", "qualname": "AbstractGraphModel", "kind": "class", "doc": "
    The graph model is the main class of causy. It is responsible for creating a graph from data and executing the pipeline_steps.
    \n\n
    The graph model is responsible for the following tasks:
    \n\n
      \n
    • Create a graph from data (create_graph_from_data)
      • \n
    • Execute the pipeline_steps (execute_pipeline_steps)
      • \n
    • Take actions on the graph (execute_pipeline_step & _take_action which is called by execute_pipeline_step)
      • \n
    \n\n
    It also initializes and takes care of the multiprocessing pool.
    \n", "bases": "causy.interfaces.GraphModelInterface, abc.ABC"}, "causy.graph.AbstractGraphModel.__init__": {"fullname": "causy.graph.AbstractGraphModel.__init__", "modulename": "causy.graph", "qualname": "AbstractGraphModel.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tgraph=None,\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None)"}, "causy.graph.AbstractGraphModel.pipeline_steps": {"fullname": "causy.graph.AbstractGraphModel.pipeline_steps", "modulename": "causy.graph", "qualname": "AbstractGraphModel.pipeline_steps", "kind": "variable", "doc": "
    \n", "annotation": ": List[causy.interfaces.IndependenceTestInterface]"}, "causy.graph.AbstractGraphModel.graph": {"fullname": "causy.graph.AbstractGraphModel.graph", "modulename": "causy.graph", "qualname": "AbstractGraphModel.graph", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.BaseGraphInterface"}, "causy.graph.AbstractGraphModel.pool": {"fullname": "causy.graph.AbstractGraphModel.pool", "modulename": "causy.graph", "qualname": "AbstractGraphModel.pool", "kind": "variable", "doc": "
    \n", "annotation": ": <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x108d4e850>>"}, "causy.graph.AbstractGraphModel.create_graph_from_data": {"fullname": "causy.graph.AbstractGraphModel.create_graph_from_data", "modulename": "causy.graph", "qualname": "AbstractGraphModel.create_graph_from_data", "kind": "function", "doc": "
    Create a graph from data
    \n\n
    Parameters
    \n\n
      \n
    • data:  is a list of dictionaries
      • \n
    \n\n
    Returns
    \n", "signature": "(self, data: List[Dict[str, float]]):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.create_all_possible_edges": {"fullname": "causy.graph.AbstractGraphModel.create_all_possible_edges", "modulename": "causy.graph", "qualname": "AbstractGraphModel.create_all_possible_edges", "kind": "function", "doc": "
    Create all possible edges on a graph\nTODO: replace me with the skeleton builders
    \n\n
    Returns
    \n", "signature": "(self):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.execute_pipeline_steps": {"fullname": "causy.graph.AbstractGraphModel.execute_pipeline_steps", "modulename": "causy.graph", "qualname": "AbstractGraphModel.execute_pipeline_steps", "kind": "function", "doc": "
    Execute all pipeline_steps
    \n\n
    Returns
    \n\n
    \n  
    the steps taken during the step execution
    \n
    \n", "signature": "(self):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.execute_pipeline_step": {"fullname": "causy.graph.AbstractGraphModel.execute_pipeline_step", "modulename": "causy.graph", "qualname": "AbstractGraphModel.execute_pipeline_step", "kind": "function", "doc": "
    Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.PARALLEL flag
    \n\n
    Parameters
    \n\n
      \n
    • test_fn:  the test function
      • \n
    • threshold:  the threshold
      • \n
    \n\n
    Returns
    \n", "signature": "(self, test_fn: causy.interfaces.IndependenceTestInterface):", "funcdef": "def"}, "causy.graph.graph_model_factory": {"fullname": "causy.graph.graph_model_factory", "modulename": "causy.graph", "qualname": "graph_model_factory", "kind": "function", "doc": "
    Create a graph model based on a List of pipeline_steps
    \n\n
    Parameters
    \n\n
      \n
    • pipeline_steps:  a list of pipeline_steps which should be applied to the graph
      • \n
    \n\n
    Returns
    \n\n
    \n  
    the graph model
    \n
    \n", "signature": "(\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None) -> type[causy.graph.AbstractGraphModel]:", "funcdef": "def"}, "causy.graph.Loop": {"fullname": "causy.graph.Loop", "modulename": "causy.graph", "qualname": "Loop", "kind": "class", "doc": "
    A loop which executes a list of pipeline_steps until the exit_condition is met.
    \n", "bases": "causy.interfaces.LogicStepInterface"}, "causy.graph.Loop.__init__": {"fullname": "causy.graph.Loop.__init__", "modulename": "causy.graph", "qualname": "Loop.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None,\texit_condition: causy.interfaces.ExitConditionInterface = None)"}, "causy.graph.Loop.execute": {"fullname": "causy.graph.Loop.execute", "modulename": "causy.graph", "qualname": "Loop.execute", "kind": "function", "doc": "
    Executes the loop til self.exit_condition is met
    \n\n
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    \n\n
    Returns
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface):", "funcdef": "def"}, "causy.graph.Loop.pipeline_steps": {"fullname": "causy.graph.Loop.pipeline_steps", "modulename": "causy.graph", "qualname": "Loop.pipeline_steps", "kind": "variable", "doc": "
    \n"}, "causy.graph.Loop.exit_condition": {"fullname": "causy.graph.Loop.exit_condition", "modulename": "causy.graph", "qualname": "Loop.exit_condition", "kind": "variable", "doc": "
    \n"}, "causy.graph.Loop.serialize": {"fullname": "causy.graph.Loop.serialize", "modulename": "causy.graph", "qualname": "Loop.serialize", "kind": "function", "doc": "
    \n", "signature": "(self) -> dict:", "funcdef": "def"}, "causy.independence_tests": {"fullname": "causy.independence_tests", "modulename": "causy.independence_tests", "kind": "module", "doc": "
    \n"}, "causy.independence_tests.logger": {"fullname": "causy.independence_tests.logger", "modulename": "causy.independence_tests", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.independence_tests (WARNING)>"}, "causy.independence_tests.CalculateCorrelations": {"fullname": "causy.independence_tests.CalculateCorrelations", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.CalculateCorrelations.GENERATOR": {"fullname": "causy.independence_tests.CalculateCorrelations.GENERATOR", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.CalculateCorrelations.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.independence_tests.CalculateCorrelations.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.CalculateCorrelations.PARALLEL": {"fullname": "causy.independence_tests.CalculateCorrelations.PARALLEL", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.CalculateCorrelations.test": {"fullname": "causy.independence_tests.CalculateCorrelations.test", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.test", "kind": "function", "doc": "
    Calculate the correlation between each pair of nodes and store it to the respective edge.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> causy.interfaces.TestResult:", "funcdef": "def"}, "causy.independence_tests.CorrelationCoefficientTest": {"fullname": "causy.independence_tests.CorrelationCoefficientTest", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.CorrelationCoefficientTest.GENERATOR": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.GENERATOR", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.CorrelationCoefficientTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.CorrelationCoefficientTest.PARALLEL": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.PARALLEL", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.CorrelationCoefficientTest.test": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.test", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.test", "kind": "function", "doc": "
    Test if x and y are independent and delete edge in graph if they are.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.independence_tests.PartialCorrelationTest": {"fullname": "causy.independence_tests.PartialCorrelationTest", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.PartialCorrelationTest.GENERATOR": {"fullname": "causy.independence_tests.PartialCorrelationTest.GENERATOR", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.PartialCorrelationTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.independence_tests.PartialCorrelationTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.PartialCorrelationTest.PARALLEL": {"fullname": "causy.independence_tests.PartialCorrelationTest.PARALLEL", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.PartialCorrelationTest.test": {"fullname": "causy.independence_tests.PartialCorrelationTest.test", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.test", "kind": "function", "doc": "
    Test if nodes x,y are independent given node z based on a partial correlation test.\nWe use this test for all combinations of 3 nodes because it is faster than the extended test (which supports combinations of n nodes). We can\nuse it to remove edges between nodes which are not independent given another node and so reduce the number of combinations for the extended test.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  the nodes to test
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n\n
    TODO: we are testing (C and E given B) and (E and C given B), we just need one of these, remove redundant tests.
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[List[causy.interfaces.TestResult]]:", "funcdef": "def"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.GENERATOR": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.GENERATOR", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.PairsWithNeighboursGenerator object>"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1000"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.PARALLEL": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.PARALLEL", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.test": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.test", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.test", "kind": "function", "doc": "
    Test if nodes x,y are independent given Z (set of nodes) based on partial correlation using the inverted covariance matrix (precision matrix).\nhttps://en.wikipedia.org/wiki/Partial_correlation#Using_matrix_inversion\nWe use this test for all combinations of more than 3 nodes because it is slower.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  the nodes to test
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.independence_tests.PlaceholderTest": {"fullname": "causy.independence_tests.PlaceholderTest", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.PlaceholderTest.NUM_OF_COMPARISON_ELEMENTS": {"fullname": "causy.independence_tests.PlaceholderTest.NUM_OF_COMPARISON_ELEMENTS", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.NUM_OF_COMPARISON_ELEMENTS", "kind": "variable", "doc": "
    \n", "default_value": "2"}, "causy.independence_tests.PlaceholderTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.independence_tests.PlaceholderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "10"}, "causy.independence_tests.PlaceholderTest.PARALLEL": {"fullname": "causy.independence_tests.PlaceholderTest.PARALLEL", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.PlaceholderTest.test": {"fullname": "causy.independence_tests.PlaceholderTest.test", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.test", "kind": "function", "doc": "
    Placeholder test for testing purposes
    \n\n
    Parameters
    \n\n
      \n
    • nodes: 
      • \n
    • graph: 
      • \n
    \n\n
    Returns
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces": {"fullname": "causy.interfaces", "modulename": "causy.interfaces", "kind": "module", "doc": "
    \n"}, "causy.interfaces.logger": {"fullname": "causy.interfaces.logger", "modulename": "causy.interfaces", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.interfaces (WARNING)>"}, "causy.interfaces.DEFAULT_THRESHOLD": {"fullname": "causy.interfaces.DEFAULT_THRESHOLD", "modulename": "causy.interfaces", "qualname": "DEFAULT_THRESHOLD", "kind": "variable", "doc": "
    \n", "default_value": "0.01"}, "causy.interfaces.AS_MANY_AS_FIELDS": {"fullname": "causy.interfaces.AS_MANY_AS_FIELDS", "modulename": "causy.interfaces", "qualname": "AS_MANY_AS_FIELDS", "kind": "variable", "doc": "
    \n", "default_value": "0"}, "causy.interfaces.ComparisonSettings": {"fullname": "causy.interfaces.ComparisonSettings", "modulename": "causy.interfaces", "qualname": "ComparisonSettings", "kind": "class", "doc": "
    \n"}, "causy.interfaces.ComparisonSettings.__init__": {"fullname": "causy.interfaces.ComparisonSettings.__init__", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.__init__", "kind": "function", "doc": "
    \n", "signature": "(min: int = 2, max: int = 0)"}, "causy.interfaces.ComparisonSettings.min": {"fullname": "causy.interfaces.ComparisonSettings.min", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.min", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "2"}, "causy.interfaces.ComparisonSettings.max": {"fullname": "causy.interfaces.ComparisonSettings.max", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.max", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "0"}, "causy.interfaces.ComparisonSettings.serialize": {"fullname": "causy.interfaces.ComparisonSettings.serialize", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.serialize", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.NodeInterface": {"fullname": "causy.interfaces.NodeInterface", "modulename": "causy.interfaces", "qualname": "NodeInterface", "kind": "class", "doc": "
    \n"}, "causy.interfaces.NodeInterface.name": {"fullname": "causy.interfaces.NodeInterface.name", "modulename": "causy.interfaces", "qualname": "NodeInterface.name", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.interfaces.NodeInterface.id": {"fullname": "causy.interfaces.NodeInterface.id", "modulename": "causy.interfaces", "qualname": "NodeInterface.id", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.interfaces.NodeInterface.values": {"fullname": "causy.interfaces.NodeInterface.values", "modulename": "causy.interfaces", "qualname": "NodeInterface.values", "kind": "variable", "doc": "
    \n", "annotation": ": List[float]"}, "causy.interfaces.NodeInterface.to_dict": {"fullname": "causy.interfaces.NodeInterface.to_dict", "modulename": "causy.interfaces", "qualname": "NodeInterface.to_dict", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.TestResultAction": {"fullname": "causy.interfaces.TestResultAction", "modulename": "causy.interfaces", "qualname": "TestResultAction", "kind": "class", "doc": "
    Enum where members are also (and must be) strings
    \n", "bases": "enum.StrEnum"}, "causy.interfaces.TestResultAction.REMOVE_EDGE_UNDIRECTED": {"fullname": "causy.interfaces.TestResultAction.REMOVE_EDGE_UNDIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.REMOVE_EDGE_UNDIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.REMOVE_EDGE_UNDIRECTED: 'REMOVE_EDGE_UNDIRECTED'>"}, "causy.interfaces.TestResultAction.UPDATE_EDGE": {"fullname": "causy.interfaces.TestResultAction.UPDATE_EDGE", "modulename": "causy.interfaces", "qualname": "TestResultAction.UPDATE_EDGE", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.UPDATE_EDGE: 'UPDATE_EDGE'>"}, "causy.interfaces.TestResultAction.UPDATE_EDGE_DIRECTED": {"fullname": "causy.interfaces.TestResultAction.UPDATE_EDGE_DIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.UPDATE_EDGE_DIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.UPDATE_EDGE_DIRECTED: 'UPDATE_EDGE_DIRECTED'>"}, "causy.interfaces.TestResultAction.DO_NOTHING": {"fullname": "causy.interfaces.TestResultAction.DO_NOTHING", "modulename": "causy.interfaces", "qualname": "TestResultAction.DO_NOTHING", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.DO_NOTHING: 'DO_NOTHING'>"}, "causy.interfaces.TestResultAction.REMOVE_EDGE_DIRECTED": {"fullname": "causy.interfaces.TestResultAction.REMOVE_EDGE_DIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.REMOVE_EDGE_DIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.REMOVE_EDGE_DIRECTED: 'REMOVE_EDGE_DIRECTED'>"}, "causy.interfaces.TestResult": {"fullname": "causy.interfaces.TestResult", "modulename": "causy.interfaces", "qualname": "TestResult", "kind": "class", "doc": "
    \n"}, "causy.interfaces.TestResult.__init__": {"fullname": "causy.interfaces.TestResult.__init__", "modulename": "causy.interfaces", "qualname": "TestResult.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tx: causy.interfaces.NodeInterface,\ty: causy.interfaces.NodeInterface,\taction: causy.interfaces.TestResultAction,\tdata: Optional[Dict] = None)"}, "causy.interfaces.TestResult.x": {"fullname": "causy.interfaces.TestResult.x", "modulename": "causy.interfaces", "qualname": "TestResult.x", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.NodeInterface"}, "causy.interfaces.TestResult.y": {"fullname": "causy.interfaces.TestResult.y", "modulename": "causy.interfaces", "qualname": "TestResult.y", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.NodeInterface"}, "causy.interfaces.TestResult.action": {"fullname": "causy.interfaces.TestResult.action", "modulename": "causy.interfaces", "qualname": "TestResult.action", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.TestResultAction"}, "causy.interfaces.TestResult.data": {"fullname": "causy.interfaces.TestResult.data", "modulename": "causy.interfaces", "qualname": "TestResult.data", "kind": "variable", "doc": "
    \n", "annotation": ": Optional[Dict]", "default_value": "None"}, "causy.interfaces.TestResult.to_dict": {"fullname": "causy.interfaces.TestResult.to_dict", "modulename": "causy.interfaces", "qualname": "TestResult.to_dict", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface": {"fullname": "causy.interfaces.BaseGraphInterface", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.BaseGraphInterface.nodes": {"fullname": "causy.interfaces.BaseGraphInterface.nodes", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.nodes", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, causy.interfaces.NodeInterface]"}, "causy.interfaces.BaseGraphInterface.edges": {"fullname": "causy.interfaces.BaseGraphInterface.edges", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edges", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, Dict[str, Dict]]"}, "causy.interfaces.BaseGraphInterface.retrieve_edge_history": {"fullname": "causy.interfaces.BaseGraphInterface.retrieve_edge_history", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.retrieve_edge_history", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tu,\tv,\taction: causy.interfaces.TestResultAction) -> List[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_edge_history": {"fullname": "causy.interfaces.BaseGraphInterface.add_edge_history", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_edge_history", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, action: causy.interfaces.TestResult):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_edge": {"fullname": "causy.interfaces.BaseGraphInterface.add_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, w):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.remove_edge": {"fullname": "causy.interfaces.BaseGraphInterface.remove_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.remove_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.remove_directed_edge": {"fullname": "causy.interfaces.BaseGraphInterface.remove_directed_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.remove_directed_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.update_edge": {"fullname": "causy.interfaces.BaseGraphInterface.update_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.update_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, w):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_node": {"fullname": "causy.interfaces.BaseGraphInterface.add_node", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_node", "kind": "function", "doc": "
    \n", "signature": "(self, name, values) -> causy.interfaces.NodeInterface:", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.edge_value": {"fullname": "causy.interfaces.BaseGraphInterface.edge_value", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edge_value", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.undirected_edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.undirected_edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.undirected_edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.directed_edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.directed_edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.directed_edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface": {"fullname": "causy.interfaces.GraphModelInterface", "modulename": "causy.interfaces", "qualname": "GraphModelInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.GraphModelInterface.pool": {"fullname": "causy.interfaces.GraphModelInterface.pool", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.pool", "kind": "variable", "doc": "
    \n", "annotation": ": <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x108d4e850>>"}, "causy.interfaces.GraphModelInterface.create_graph_from_data": {"fullname": "causy.interfaces.GraphModelInterface.create_graph_from_data", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.create_graph_from_data", "kind": "function", "doc": "
    \n", "signature": "(self, data: List[Dict]):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface.execute_pipeline_steps": {"fullname": "causy.interfaces.GraphModelInterface.execute_pipeline_steps", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.execute_pipeline_steps", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface.execute_pipeline_step": {"fullname": "causy.interfaces.GraphModelInterface.execute_pipeline_step", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.execute_pipeline_step", "kind": "function", "doc": "
    \n", "signature": "(self, step):", "funcdef": "def"}, "causy.interfaces.GeneratorInterface": {"fullname": "causy.interfaces.GeneratorInterface", "modulename": "causy.interfaces", "qualname": "GeneratorInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.GeneratorInterface.comparison_settings": {"fullname": "causy.interfaces.GeneratorInterface.comparison_settings", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.comparison_settings", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.ComparisonSettings"}, "causy.interfaces.GeneratorInterface.chunked": {"fullname": "causy.interfaces.GeneratorInterface.chunked", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.chunked", "kind": "variable", "doc": "
    \n", "annotation": ": bool", "default_value": "False"}, "causy.interfaces.GeneratorInterface.generate": {"fullname": "causy.interfaces.GeneratorInterface.generate", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.generate", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.interfaces.GeneratorInterface.serialize": {"fullname": "causy.interfaces.GeneratorInterface.serialize", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.serialize", "kind": "function", "doc": "
    \n", "signature": "(self) -> dict:", "funcdef": "def"}, "causy.interfaces.IndependenceTestInterface": {"fullname": "causy.interfaces.IndependenceTestInterface", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.IndependenceTestInterface.NUM_OF_COMPARISON_ELEMENTS": {"fullname": "causy.interfaces.IndependenceTestInterface.NUM_OF_COMPARISON_ELEMENTS", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.NUM_OF_COMPARISON_ELEMENTS", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "0"}, "causy.interfaces.IndependenceTestInterface.GENERATOR": {"fullname": "causy.interfaces.IndependenceTestInterface.GENERATOR", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.GENERATOR", "kind": "variable", "doc": "
    \n", "annotation": ": Optional[causy.interfaces.GeneratorInterface]", "default_value": "None"}, "causy.interfaces.IndependenceTestInterface.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.interfaces.IndependenceTestInterface.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "1"}, "causy.interfaces.IndependenceTestInterface.PARALLEL": {"fullname": "causy.interfaces.IndependenceTestInterface.PARALLEL", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.PARALLEL", "kind": "variable", "doc": "
    \n", "annotation": ": bool", "default_value": "True"}, "causy.interfaces.IndependenceTestInterface.threshold": {"fullname": "causy.interfaces.IndependenceTestInterface.threshold", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.threshold", "kind": "variable", "doc": "
    \n"}, "causy.interfaces.IndependenceTestInterface.test": {"fullname": "causy.interfaces.IndependenceTestInterface.test", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.test", "kind": "function", "doc": "
    Test if x and y are independent
    \n\n
    Parameters
    \n\n
      \n
    • x:  x values
      • \n
    • y:  y values
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if independent, False otherwise
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces.IndependenceTestInterface.serialize": {"fullname": "causy.interfaces.IndependenceTestInterface.serialize", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.serialize", "kind": "function", "doc": "
    \n", "signature": "(self) -> dict:", "funcdef": "def"}, "causy.interfaces.LogicStepInterface": {"fullname": "causy.interfaces.LogicStepInterface", "modulename": "causy.interfaces", "qualname": "LogicStepInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.LogicStepInterface.execute": {"fullname": "causy.interfaces.LogicStepInterface.execute", "modulename": "causy.interfaces", "qualname": "LogicStepInterface.execute", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.interfaces.LogicStepInterface.serialize": {"fullname": "causy.interfaces.LogicStepInterface.serialize", "modulename": "causy.interfaces", "qualname": "LogicStepInterface.serialize", "kind": "function", "doc": "
    \n", "signature": "(self) -> dict:", "funcdef": "def"}, "causy.interfaces.ExitConditionInterface": {"fullname": "causy.interfaces.ExitConditionInterface", "modulename": "causy.interfaces", "qualname": "ExitConditionInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.ExitConditionInterface.check": {"fullname": "causy.interfaces.ExitConditionInterface.check", "modulename": "causy.interfaces", "qualname": "ExitConditionInterface.check", "kind": "function", "doc": "
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    • actions_taken: 
      • \n
    • iteration: 
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if you want to break an iteration, False otherwise
    \n
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface,\tactions_taken: List[causy.interfaces.TestResult],\titeration: int) -> bool:", "funcdef": "def"}, "causy.interfaces.ExitConditionInterface.serialize": {"fullname": "causy.interfaces.ExitConditionInterface.serialize", "modulename": "causy.interfaces", "qualname": "ExitConditionInterface.serialize", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.orientation_tests": {"fullname": "causy.orientation_tests", "modulename": "causy.orientation_tests", "kind": "module", "doc": "
    \n"}, "causy.orientation_tests.ColliderTest": {"fullname": "causy.orientation_tests.ColliderTest", "modulename": "causy.orientation_tests", "qualname": "ColliderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.ColliderTest.GENERATOR": {"fullname": "causy.orientation_tests.ColliderTest.GENERATOR", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.ColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.orientation_tests.ColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.ColliderTest.PARALLEL": {"fullname": "causy.orientation_tests.ColliderTest.PARALLEL", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.ColliderTest.test": {"fullname": "causy.orientation_tests.ColliderTest.test", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.test", "kind": "function", "doc": "
    We call triples x, y, z of nodes v structures if x and y that are NOT adjacent but share an adjacent node z.\nV structures looks like this in the undirected skeleton: (x - z - y).\nWe now check if z is in the separating set.\nIf z is not in the separating set, we know that x and y are uncorrelated given z.\nSo, the edges must be oriented from x to z and from y to z (x -> z <- y).
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.NonColliderTest": {"fullname": "causy.orientation_tests.NonColliderTest", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.NonColliderTest.GENERATOR": {"fullname": "causy.orientation_tests.NonColliderTest.GENERATOR", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.NonColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.orientation_tests.NonColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.NonColliderTest.PARALLEL": {"fullname": "causy.orientation_tests.NonColliderTest.PARALLEL", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.NonColliderTest.test": {"fullname": "causy.orientation_tests.NonColliderTest.test", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.test", "kind": "function", "doc": "
    Further orientation rule: all v structures that are colliders are already oriented.\nWe now orient all v structures that have a single alternative to being a collider.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.FurtherOrientTripleTest": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.FurtherOrientTripleTest.GENERATOR": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.GENERATOR", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.FurtherOrientTripleTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.FurtherOrientTripleTest.PARALLEL": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.PARALLEL", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.FurtherOrientTripleTest.test": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.test", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.test", "kind": "function", "doc": "
    Further orientation rule.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.OrientQuadrupleTest": {"fullname": "causy.orientation_tests.OrientQuadrupleTest", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.OrientQuadrupleTest.GENERATOR": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.GENERATOR", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.OrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.OrientQuadrupleTest.PARALLEL": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.PARALLEL", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.OrientQuadrupleTest.test": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.test", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.test", "kind": "function", "doc": "
    Further orientation rule.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.FurtherOrientQuadrupleTest": {"fullname": "causy.orientation_tests.FurtherOrientQuadrupleTest", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientQuadrupleTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.FurtherOrientQuadrupleTest.GENERATOR": {"fullname": "causy.orientation_tests.FurtherOrientQuadrupleTest.GENERATOR", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientQuadrupleTest.GENERATOR", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.FurtherOrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING": {"fullname": "causy.orientation_tests.FurtherOrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientQuadrupleTest.CHUNK_SIZE_PARALLEL_PROCESSING", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.FurtherOrientQuadrupleTest.PARALLEL": {"fullname": "causy.orientation_tests.FurtherOrientQuadrupleTest.PARALLEL", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientQuadrupleTest.PARALLEL", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.FurtherOrientQuadrupleTest.test": {"fullname": "causy.orientation_tests.FurtherOrientQuadrupleTest.test", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientQuadrupleTest.test", "kind": "function", "doc": "
    Further orientation rule.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.utils": {"fullname": "causy.utils", "modulename": "causy.utils", "kind": "module", "doc": "
    \n"}, "causy.utils.logger": {"fullname": "causy.utils.logger", "modulename": "causy.utils", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.utils (WARNING)>"}, "causy.utils.sum_lists": {"fullname": "causy.utils.sum_lists", "modulename": "causy.utils", "qualname": "sum_lists", "kind": "function", "doc": "
    Parameters
    \n\n
      \n
    • lists:  lists of numbers
      • \n
    \n\n
    Returns
    \n\n
    \n  
    list (sum of lists)
    \n
    \n", "signature": "(*lists):", "funcdef": "def"}, "causy.utils.get_t_and_critical_t": {"fullname": "causy.utils.get_t_and_critical_t", "modulename": "causy.utils", "qualname": "get_t_and_critical_t", "kind": "function", "doc": "
    \n", "signature": "(sample_size, nb_of_control_vars, par_corr, threshold):", "funcdef": "def"}, "causy.utils.serialize_module_name": {"fullname": "causy.utils.serialize_module_name", "modulename": "causy.utils", "qualname": "serialize_module_name", "kind": "function", "doc": "
    \n", "signature": "(cls):", "funcdef": "def"}, "causy.utils.load_pipeline_artefact_by_definition": {"fullname": "causy.utils.load_pipeline_artefact_by_definition", "modulename": "causy.utils", "qualname": "load_pipeline_artefact_by_definition", "kind": "function", "doc": "
    \n", "signature": "(step):", "funcdef": "def"}, "causy.utils.load_pipeline_steps_by_definition": {"fullname": "causy.utils.load_pipeline_steps_by_definition", "modulename": "causy.utils", "qualname": "load_pipeline_steps_by_definition", "kind": "function", "doc": "
    \n", "signature": "(steps):", "funcdef": "def"}, "causy.utils.retrieve_edges": {"fullname": "causy.utils.retrieve_edges", "modulename": "causy.utils", "qualname": "retrieve_edges", "kind": "function", "doc": "
    Returns a list of edges from the graph
    \n\n
    Parameters
    \n\n
      \n
    • graph:  a graph
      • \n
    \n\n
    Returns
    \n\n
    \n  
    a list of edges
    \n
    \n", "signature": "(graph) -> List[Tuple[str, str]]:", "funcdef": "def"}, "causy.utils.pearson_correlation": {"fullname": "causy.utils.pearson_correlation", "modulename": "causy.utils", "qualname": "pearson_correlation", "kind": "function", "doc": "
    Returns the pearson correlation coefficient between x and y
    \n\n
    Parameters
    \n\n
      \n
    • x:  a tensor
      • \n
    • y:  a tensor
      • \n
    \n\n
    Returns
    \n\n
    \n  
    the correlation coefficient
    \n
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    Extensible JSON https://json.org encoder for Python data structures.
    \n\n
    Supports the following objects and types by default:
    \n\n
    +-------------------+---------------+\n| Python            | JSON          |\n+===================+===============+\n| dict              | object        |\n+-------------------+---------------+\n| list, tuple       | array         |\n+-------------------+---------------+\n| str               | string        |\n+-------------------+---------------+\n| int, float        | number        |\n+-------------------+---------------+\n| True              | true          |\n+-------------------+---------------+\n| False             | false         |\n+-------------------+---------------+\n| None              | null          |\n+-------------------+---------------+
    \n\n
    To extend this to recognize other objects, subclass and implement a\n.default() method with another method that returns a serializable\nobject for o if possible, otherwise it should call the superclass\nimplementation (to raise TypeError).
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    \n\n
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    Parameters
    \n\n
      \n
    • graph:  the graph
      • \n
    • graph_model_instance_:  the graph model instance
      • \n
    • actions_taken:  the actions taken in the last iteration
      • \n
    • iteration:  iteration number
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if you want to break an iteration, False otherwise
    \n
    \n", "signature": "(self, graph, graph_model_instance_, actions_taken, iteration) -> bool:", "funcdef": "def"}, "causy.generators": {"fullname": "causy.generators", "modulename": "causy.generators", "kind": "module", "doc": "
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    \n", "bases": "causy.interfaces.GeneratorInterface"}, "causy.generators.RandomSampleGenerator.__init__": {"fullname": "causy.generators.RandomSampleGenerator.__init__", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tcomparison_settings: causy.interfaces.ComparisonSettings = None,\tchunked: bool = None,\tevery_nth: int = None,\tgenerator: causy.interfaces.GeneratorInterface = None)"}, "causy.generators.RandomSampleGenerator.every_nth": {"fullname": "causy.generators.RandomSampleGenerator.every_nth", "modulename": "causy.generators", "qualname": "RandomSampleGenerator.every_nth", "kind": "variable", "doc": "
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    \n\n
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    \n\n
    Returns
    \n\n
    \n  
    yields a random sample of the results
    \n
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.graph": {"fullname": "causy.graph", "modulename": "causy.graph", "kind": "module", "doc": "
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    Add an edge to the graph
    \n\n
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    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
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    \n\n
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    \n\n
      \n
    • u: 
      • \n
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      • \n
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      • \n
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    Add an action to the edge history
    \n\n
    Parameters
    \n\n
      \n
    • u: 
      • \n
    • v: 
      • \n
    • action: 
      • \n
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    \n\n
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    \n\n
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      • \n
    • v:  v node
      • \n
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    \n\n
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    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
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    Update an undirected edge in the graph
    \n\n
    Parameters
    \n\n
      \n
    • u:  u node
      • \n
    • v:  v node
      • \n
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    \n\n
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      • \n
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      • \n
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      \n
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      • \n
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      • \n
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    \n
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    \n\n
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    \n\n
      \n
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      • \n
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      • \n
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    \n\n
    \n  
    True if a directed edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.only_directed_edge_exists": {"fullname": "causy.graph.Graph.only_directed_edge_exists", "modulename": "causy.graph", "qualname": "Graph.only_directed_edge_exists", "kind": "function", "doc": "
    Check if a directed edge exists between u and v, but no directed edge exists between v and u. Case: u -> v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if only directed edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.undirected_edge_exists": {"fullname": "causy.graph.Graph.undirected_edge_exists", "modulename": "causy.graph", "qualname": "Graph.undirected_edge_exists", "kind": "function", "doc": "
    Check if an undirected edge exists between u and v. Note: currently, an undirected edges is implemented just as\na directed edge. However, they are two functions as they mean different things in different algorithms.\nCurrently, this function is used in the PC algorithm, where an undirected edge is an edge which could not be\noriented in any direction by orientation rules.\nLater, a cohersive naming scheme should be implemented.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if an undirected edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.bidirected_edge_exists": {"fullname": "causy.graph.Graph.bidirected_edge_exists", "modulename": "causy.graph", "qualname": "Graph.bidirected_edge_exists", "kind": "function", "doc": "
    Check if a bidirected edge exists between u and v. Note: currently, a bidirected edges is implemented just as\nan undirected edge. However, they are two functions as they mean different things in different algorithms.\nThis function will be used for the FCI algorithm for now, where a bidirected edge is an edge between two nodes\nthat have been identified to have a common cause by orientation rules.\nLater, a cohersive naming scheme should be implemented.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if a bidirected edge exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.edge_value": {"fullname": "causy.graph.Graph.edge_value", "modulename": "causy.graph", "qualname": "Graph.edge_value", "kind": "function", "doc": "
    retrieve the value of an edge
    \n\n
    Parameters
    \n\n
      \n
    • u: 
      • \n
    • v: 
      • \n
    \n\n
    Returns
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node) -> Optional[Dict]:", "funcdef": "def"}, "causy.graph.Graph.add_node": {"fullname": "causy.graph.Graph.add_node", "modulename": "causy.graph", "qualname": "Graph.add_node", "kind": "function", "doc": "
    Add a node to the graph
    \n\n
    Parameters
    \n\n
      \n
    • name:  name of the node
      • \n
    • values:  values of the node
      • \n
    • id_:  id_ of the node\n:param : node
      • \n
    \n\n
    Returns
    \n\n
    \n  
    created Node
    \n
    \n", "signature": "(\tself,\tname: str,\tvalues: List[float],\tid_: str = None) -> causy.graph.Node:", "funcdef": "def"}, "causy.graph.Graph.directed_path_exists": {"fullname": "causy.graph.Graph.directed_path_exists", "modulename": "causy.graph", "qualname": "Graph.directed_path_exists", "kind": "function", "doc": "
    Check if a directed path from u to v exists
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if a directed path exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.directed_paths": {"fullname": "causy.graph.Graph.directed_paths", "modulename": "causy.graph", "qualname": "Graph.directed_paths", "kind": "function", "doc": "
    Return all directed paths from u to v
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    list of directed paths
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.Graph.inducing_path_exists": {"fullname": "causy.graph.Graph.inducing_path_exists", "modulename": "causy.graph", "qualname": "Graph.inducing_path_exists", "kind": "function", "doc": "
    Check if an inducing path from u to v exists.\nAn inducing path from u to v is a directed path from u to v on which all mediators are colliders.
    \n\n
    Parameters
    \n\n
      \n
    • u:  node u
      • \n
    • v:  node v
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if an inducing path exists, False otherwise
    \n
    \n", "signature": "(self, u: causy.graph.Node, v: causy.graph.Node):", "funcdef": "def"}, "causy.graph.unpack_run": {"fullname": "causy.graph.unpack_run", "modulename": "causy.graph", "qualname": "unpack_run", "kind": "function", "doc": "
    \n", "signature": "(args):", "funcdef": "def"}, "causy.graph.AbstractGraphModel": {"fullname": "causy.graph.AbstractGraphModel", "modulename": "causy.graph", "qualname": "AbstractGraphModel", "kind": "class", "doc": "
    The graph model is the main class of causy. It is responsible for creating a graph from data and executing the pipeline_steps.
    \n\n
    The graph model is responsible for the following tasks:
    \n\n
      \n
    • Create a graph from data (create_graph_from_data)
      • \n
    • Execute the pipeline_steps (execute_pipeline_steps)
      • \n
    • Take actions on the graph (execute_pipeline_step & _take_action which is called by execute_pipeline_step)
      • \n
    \n\n
    It also initializes and takes care of the multiprocessing pool.
    \n", "bases": "causy.interfaces.GraphModelInterface, abc.ABC"}, "causy.graph.AbstractGraphModel.__init__": {"fullname": "causy.graph.AbstractGraphModel.__init__", "modulename": "causy.graph", "qualname": "AbstractGraphModel.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tgraph=None,\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None)"}, "causy.graph.AbstractGraphModel.pipeline_steps": {"fullname": "causy.graph.AbstractGraphModel.pipeline_steps", "modulename": "causy.graph", "qualname": "AbstractGraphModel.pipeline_steps", "kind": "variable", "doc": "
    \n", "annotation": ": List[causy.interfaces.IndependenceTestInterface]"}, "causy.graph.AbstractGraphModel.graph": {"fullname": "causy.graph.AbstractGraphModel.graph", "modulename": "causy.graph", "qualname": "AbstractGraphModel.graph", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.BaseGraphInterface"}, "causy.graph.AbstractGraphModel.pool": {"fullname": "causy.graph.AbstractGraphModel.pool", "modulename": "causy.graph", "qualname": "AbstractGraphModel.pool", "kind": "variable", "doc": "
    \n", "annotation": ": <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x10c5aed90>>"}, "causy.graph.AbstractGraphModel.create_graph_from_data": {"fullname": "causy.graph.AbstractGraphModel.create_graph_from_data", "modulename": "causy.graph", "qualname": "AbstractGraphModel.create_graph_from_data", "kind": "function", "doc": "
    Create a graph from data
    \n\n
    Parameters
    \n\n
      \n
    • data:  is a list of dictionaries
      • \n
    \n\n
    Returns
    \n", "signature": "(self, data: List[Dict[str, float]]):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.create_all_possible_edges": {"fullname": "causy.graph.AbstractGraphModel.create_all_possible_edges", "modulename": "causy.graph", "qualname": "AbstractGraphModel.create_all_possible_edges", "kind": "function", "doc": "
    Create all possible edges on a graph\nTODO: replace me with the skeleton builders
    \n\n
    Returns
    \n", "signature": "(self):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.execute_pipeline_steps": {"fullname": "causy.graph.AbstractGraphModel.execute_pipeline_steps", "modulename": "causy.graph", "qualname": "AbstractGraphModel.execute_pipeline_steps", "kind": "function", "doc": "
    Execute all pipeline_steps
    \n\n
    Returns
    \n\n
    \n  
    the steps taken during the step execution
    \n
    \n", "signature": "(self):", "funcdef": "def"}, "causy.graph.AbstractGraphModel.execute_pipeline_step": {"fullname": "causy.graph.AbstractGraphModel.execute_pipeline_step", "modulename": "causy.graph", "qualname": "AbstractGraphModel.execute_pipeline_step", "kind": "function", "doc": "
    Execute a single pipeline_step on the graph. either in parallel or in a single process depending on the test_fn.parallel flag
    \n\n
    Parameters
    \n\n
      \n
    • test_fn:  the test function
      • \n
    • threshold:  the threshold
      • \n
    \n\n
    Returns
    \n", "signature": "(self, test_fn: causy.interfaces.IndependenceTestInterface):", "funcdef": "def"}, "causy.graph.graph_model_factory": {"fullname": "causy.graph.graph_model_factory", "modulename": "causy.graph", "qualname": "graph_model_factory", "kind": "function", "doc": "
    Create a graph model based on a List of pipeline_steps
    \n\n
    Parameters
    \n\n
      \n
    • pipeline_steps:  a list of pipeline_steps which should be applied to the graph
      • \n
    \n\n
    Returns
    \n\n
    \n  
    the graph model
    \n
    \n", "signature": "(\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None) -> type[causy.graph.AbstractGraphModel]:", "funcdef": "def"}, "causy.graph.Loop": {"fullname": "causy.graph.Loop", "modulename": "causy.graph", "qualname": "Loop", "kind": "class", "doc": "
    A loop which executes a list of pipeline_steps until the exit_condition is met.
    \n", "bases": "causy.interfaces.LogicStepInterface"}, "causy.graph.Loop.__init__": {"fullname": "causy.graph.Loop.__init__", "modulename": "causy.graph", "qualname": "Loop.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tpipeline_steps: Optional[List[causy.interfaces.IndependenceTestInterface]] = None,\texit_condition: causy.interfaces.ExitConditionInterface = None)"}, "causy.graph.Loop.execute": {"fullname": "causy.graph.Loop.execute", "modulename": "causy.graph", "qualname": "Loop.execute", "kind": "function", "doc": "
    Executes the loop til self.exit_condition is met
    \n\n
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    \n\n
    Returns
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface):", "funcdef": "def"}, "causy.graph.Loop.pipeline_steps": {"fullname": "causy.graph.Loop.pipeline_steps", "modulename": "causy.graph", "qualname": "Loop.pipeline_steps", "kind": "variable", "doc": "
    \n"}, "causy.graph.Loop.exit_condition": {"fullname": "causy.graph.Loop.exit_condition", "modulename": "causy.graph", "qualname": "Loop.exit_condition", "kind": "variable", "doc": "
    \n"}, "causy.independence_tests": {"fullname": "causy.independence_tests", "modulename": "causy.independence_tests", "kind": "module", "doc": "
    \n"}, "causy.independence_tests.logger": {"fullname": "causy.independence_tests.logger", "modulename": "causy.independence_tests", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.independence_tests (WARNING)>"}, "causy.independence_tests.CalculateCorrelations": {"fullname": "causy.independence_tests.CalculateCorrelations", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.CalculateCorrelations.generator": {"fullname": "causy.independence_tests.CalculateCorrelations.generator", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.CalculateCorrelations.chunk_size_parallel_processing": {"fullname": "causy.independence_tests.CalculateCorrelations.chunk_size_parallel_processing", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.CalculateCorrelations.parallel": {"fullname": "causy.independence_tests.CalculateCorrelations.parallel", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.CalculateCorrelations.test": {"fullname": "causy.independence_tests.CalculateCorrelations.test", "modulename": "causy.independence_tests", "qualname": "CalculateCorrelations.test", "kind": "function", "doc": "
    Calculate the correlation between each pair of nodes and store it to the respective edge.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> causy.interfaces.TestResult:", "funcdef": "def"}, "causy.independence_tests.CorrelationCoefficientTest": {"fullname": "causy.independence_tests.CorrelationCoefficientTest", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.CorrelationCoefficientTest.generator": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.generator", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.CorrelationCoefficientTest.chunk_size_parallel_processing": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.chunk_size_parallel_processing", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.CorrelationCoefficientTest.parallel": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.parallel", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.CorrelationCoefficientTest.test": {"fullname": "causy.independence_tests.CorrelationCoefficientTest.test", "modulename": "causy.independence_tests", "qualname": "CorrelationCoefficientTest.test", "kind": "function", "doc": "
    Test if x and y are independent and delete edge in graph if they are.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.independence_tests.PartialCorrelationTest": {"fullname": "causy.independence_tests.PartialCorrelationTest", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.PartialCorrelationTest.generator": {"fullname": "causy.independence_tests.PartialCorrelationTest.generator", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.independence_tests.PartialCorrelationTest.chunk_size_parallel_processing": {"fullname": "causy.independence_tests.PartialCorrelationTest.chunk_size_parallel_processing", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.independence_tests.PartialCorrelationTest.parallel": {"fullname": "causy.independence_tests.PartialCorrelationTest.parallel", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.PartialCorrelationTest.test": {"fullname": "causy.independence_tests.PartialCorrelationTest.test", "modulename": "causy.independence_tests", "qualname": "PartialCorrelationTest.test", "kind": "function", "doc": "
    Test if nodes x,y are independent given node z based on a partial correlation test.\nWe use this test for all combinations of 3 nodes because it is faster than the extended test (which supports combinations of n nodes). We can\nuse it to remove edges between nodes which are not independent given another node and so reduce the number of combinations for the extended test.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  the nodes to test
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n\n
    TODO: we are testing (C and E given B) and (E and C given B), we just need one of these, remove redundant tests.
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[List[causy.interfaces.TestResult]]:", "funcdef": "def"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.generator": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.generator", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.PairsWithNeighboursGenerator object>"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.chunk_size_parallel_processing": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.chunk_size_parallel_processing", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1000"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.parallel": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.parallel", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.test": {"fullname": "causy.independence_tests.ExtendedPartialCorrelationTestMatrix.test", "modulename": "causy.independence_tests", "qualname": "ExtendedPartialCorrelationTestMatrix.test", "kind": "function", "doc": "
    Test if nodes x,y are independent given Z (set of nodes) based on partial correlation using the inverted covariance matrix (precision matrix).\nhttps://en.wikipedia.org/wiki/Partial_correlation#Using_matrix_inversion\nWe use this test for all combinations of more than 3 nodes because it is slower.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  the nodes to test
      • \n
    \n\n
    Returns
    \n\n
    \n  
    A TestResult with the action to take
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.independence_tests.PlaceholderTest": {"fullname": "causy.independence_tests.PlaceholderTest", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.independence_tests.PlaceholderTest.num_of_comparison_elements": {"fullname": "causy.independence_tests.PlaceholderTest.num_of_comparison_elements", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.num_of_comparison_elements", "kind": "variable", "doc": "
    \n", "default_value": "2"}, "causy.independence_tests.PlaceholderTest.chunk_size_parallel_processing": {"fullname": "causy.independence_tests.PlaceholderTest.chunk_size_parallel_processing", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "10"}, "causy.independence_tests.PlaceholderTest.parallel": {"fullname": "causy.independence_tests.PlaceholderTest.parallel", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.independence_tests.PlaceholderTest.test": {"fullname": "causy.independence_tests.PlaceholderTest.test", "modulename": "causy.independence_tests", "qualname": "PlaceholderTest.test", "kind": "function", "doc": "
    Placeholder test for testing purposes
    \n\n
    Parameters
    \n\n
      \n
    • nodes: 
      • \n
    • graph: 
      • \n
    \n\n
    Returns
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces": {"fullname": "causy.interfaces", "modulename": "causy.interfaces", "kind": "module", "doc": "
    \n"}, "causy.interfaces.logger": {"fullname": "causy.interfaces.logger", "modulename": "causy.interfaces", "qualname": "logger", "kind": "variable", "doc": "
    \n", "default_value": "<Logger causy.interfaces (WARNING)>"}, "causy.interfaces.DEFAULT_THRESHOLD": {"fullname": "causy.interfaces.DEFAULT_THRESHOLD", "modulename": "causy.interfaces", "qualname": "DEFAULT_THRESHOLD", "kind": "variable", "doc": "
    \n", "default_value": "0.01"}, "causy.interfaces.AS_MANY_AS_FIELDS": {"fullname": "causy.interfaces.AS_MANY_AS_FIELDS", "modulename": "causy.interfaces", "qualname": "AS_MANY_AS_FIELDS", "kind": "variable", "doc": "
    \n", "default_value": "0"}, "causy.interfaces.ComparisonSettings": {"fullname": "causy.interfaces.ComparisonSettings", "modulename": "causy.interfaces", "qualname": "ComparisonSettings", "kind": "class", "doc": "
    \n", "bases": "causy.serialization.SerializeMixin"}, "causy.interfaces.ComparisonSettings.__init__": {"fullname": "causy.interfaces.ComparisonSettings.__init__", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.__init__", "kind": "function", "doc": "
    \n", "signature": "(min: int = 2, max: int = 0)"}, "causy.interfaces.ComparisonSettings.min": {"fullname": "causy.interfaces.ComparisonSettings.min", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.min", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "2"}, "causy.interfaces.ComparisonSettings.max": {"fullname": "causy.interfaces.ComparisonSettings.max", "modulename": "causy.interfaces", "qualname": "ComparisonSettings.max", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "0"}, "causy.interfaces.NodeInterface": {"fullname": "causy.interfaces.NodeInterface", "modulename": "causy.interfaces", "qualname": "NodeInterface", "kind": "class", "doc": "
    Mixin class for serializing and deserializing graph steps.
    \n", "bases": "causy.serialization.SerializeMixin"}, "causy.interfaces.NodeInterface.name": {"fullname": "causy.interfaces.NodeInterface.name", "modulename": "causy.interfaces", "qualname": "NodeInterface.name", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.interfaces.NodeInterface.id": {"fullname": "causy.interfaces.NodeInterface.id", "modulename": "causy.interfaces", "qualname": "NodeInterface.id", "kind": "variable", "doc": "
    \n", "annotation": ": str"}, "causy.interfaces.NodeInterface.values": {"fullname": "causy.interfaces.NodeInterface.values", "modulename": "causy.interfaces", "qualname": "NodeInterface.values", "kind": "variable", "doc": "
    \n", "annotation": ": List[float]"}, "causy.interfaces.NodeInterface.serialize": {"fullname": "causy.interfaces.NodeInterface.serialize", "modulename": "causy.interfaces", "qualname": "NodeInterface.serialize", "kind": "function", "doc": "
    Serialize the object into a dictionary.
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.TestResultAction": {"fullname": "causy.interfaces.TestResultAction", "modulename": "causy.interfaces", "qualname": "TestResultAction", "kind": "class", "doc": "
    Enum where members are also (and must be) strings
    \n", "bases": "enum.StrEnum"}, "causy.interfaces.TestResultAction.REMOVE_EDGE_UNDIRECTED": {"fullname": "causy.interfaces.TestResultAction.REMOVE_EDGE_UNDIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.REMOVE_EDGE_UNDIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.REMOVE_EDGE_UNDIRECTED: 'REMOVE_EDGE_UNDIRECTED'>"}, "causy.interfaces.TestResultAction.UPDATE_EDGE": {"fullname": "causy.interfaces.TestResultAction.UPDATE_EDGE", "modulename": "causy.interfaces", "qualname": "TestResultAction.UPDATE_EDGE", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.UPDATE_EDGE: 'UPDATE_EDGE'>"}, "causy.interfaces.TestResultAction.UPDATE_EDGE_DIRECTED": {"fullname": "causy.interfaces.TestResultAction.UPDATE_EDGE_DIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.UPDATE_EDGE_DIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.UPDATE_EDGE_DIRECTED: 'UPDATE_EDGE_DIRECTED'>"}, "causy.interfaces.TestResultAction.DO_NOTHING": {"fullname": "causy.interfaces.TestResultAction.DO_NOTHING", "modulename": "causy.interfaces", "qualname": "TestResultAction.DO_NOTHING", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.DO_NOTHING: 'DO_NOTHING'>"}, "causy.interfaces.TestResultAction.REMOVE_EDGE_DIRECTED": {"fullname": "causy.interfaces.TestResultAction.REMOVE_EDGE_DIRECTED", "modulename": "causy.interfaces", "qualname": "TestResultAction.REMOVE_EDGE_DIRECTED", "kind": "variable", "doc": "
    \n", "default_value": "<TestResultAction.REMOVE_EDGE_DIRECTED: 'REMOVE_EDGE_DIRECTED'>"}, "causy.interfaces.TestResult": {"fullname": "causy.interfaces.TestResult", "modulename": "causy.interfaces", "qualname": "TestResult", "kind": "class", "doc": "
    \n", "bases": "causy.serialization.SerializeMixin"}, "causy.interfaces.TestResult.__init__": {"fullname": "causy.interfaces.TestResult.__init__", "modulename": "causy.interfaces", "qualname": "TestResult.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tx: causy.interfaces.NodeInterface,\ty: causy.interfaces.NodeInterface,\taction: causy.interfaces.TestResultAction,\tdata: Optional[Dict] = None)"}, "causy.interfaces.TestResult.x": {"fullname": "causy.interfaces.TestResult.x", "modulename": "causy.interfaces", "qualname": "TestResult.x", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.NodeInterface"}, "causy.interfaces.TestResult.y": {"fullname": "causy.interfaces.TestResult.y", "modulename": "causy.interfaces", "qualname": "TestResult.y", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.NodeInterface"}, "causy.interfaces.TestResult.action": {"fullname": "causy.interfaces.TestResult.action", "modulename": "causy.interfaces", "qualname": "TestResult.action", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.TestResultAction"}, "causy.interfaces.TestResult.data": {"fullname": "causy.interfaces.TestResult.data", "modulename": "causy.interfaces", "qualname": "TestResult.data", "kind": "variable", "doc": "
    \n", "annotation": ": Optional[Dict]", "default_value": "None"}, "causy.interfaces.TestResult.serialize": {"fullname": "causy.interfaces.TestResult.serialize", "modulename": "causy.interfaces", "qualname": "TestResult.serialize", "kind": "function", "doc": "
    Serialize the object into a dictionary.
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface": {"fullname": "causy.interfaces.BaseGraphInterface", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.BaseGraphInterface.nodes": {"fullname": "causy.interfaces.BaseGraphInterface.nodes", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.nodes", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, causy.interfaces.NodeInterface]"}, "causy.interfaces.BaseGraphInterface.edges": {"fullname": "causy.interfaces.BaseGraphInterface.edges", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edges", "kind": "variable", "doc": "
    \n", "annotation": ": Dict[str, Dict[str, Dict]]"}, "causy.interfaces.BaseGraphInterface.retrieve_edge_history": {"fullname": "causy.interfaces.BaseGraphInterface.retrieve_edge_history", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.retrieve_edge_history", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tu,\tv,\taction: causy.interfaces.TestResultAction) -> List[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_edge_history": {"fullname": "causy.interfaces.BaseGraphInterface.add_edge_history", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_edge_history", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, action: causy.interfaces.TestResult):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_edge": {"fullname": "causy.interfaces.BaseGraphInterface.add_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, w):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.remove_edge": {"fullname": "causy.interfaces.BaseGraphInterface.remove_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.remove_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.remove_directed_edge": {"fullname": "causy.interfaces.BaseGraphInterface.remove_directed_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.remove_directed_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.update_edge": {"fullname": "causy.interfaces.BaseGraphInterface.update_edge", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.update_edge", "kind": "function", "doc": "
    \n", "signature": "(self, u, v, w):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.add_node": {"fullname": "causy.interfaces.BaseGraphInterface.add_node", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.add_node", "kind": "function", "doc": "
    \n", "signature": "(self, name, values) -> causy.interfaces.NodeInterface:", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.edge_value": {"fullname": "causy.interfaces.BaseGraphInterface.edge_value", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edge_value", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.undirected_edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.undirected_edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.undirected_edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.directed_edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.directed_edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.directed_edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.BaseGraphInterface.edge_exists": {"fullname": "causy.interfaces.BaseGraphInterface.edge_exists", "modulename": "causy.interfaces", "qualname": "BaseGraphInterface.edge_exists", "kind": "function", "doc": "
    \n", "signature": "(self, u, v):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface": {"fullname": "causy.interfaces.GraphModelInterface", "modulename": "causy.interfaces", "qualname": "GraphModelInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC"}, "causy.interfaces.GraphModelInterface.pool": {"fullname": "causy.interfaces.GraphModelInterface.pool", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.pool", "kind": "variable", "doc": "
    \n", "annotation": ": <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x10c5aed90>>"}, "causy.interfaces.GraphModelInterface.create_graph_from_data": {"fullname": "causy.interfaces.GraphModelInterface.create_graph_from_data", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.create_graph_from_data", "kind": "function", "doc": "
    \n", "signature": "(self, data: List[Dict]):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface.execute_pipeline_steps": {"fullname": "causy.interfaces.GraphModelInterface.execute_pipeline_steps", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.execute_pipeline_steps", "kind": "function", "doc": "
    \n", "signature": "(self):", "funcdef": "def"}, "causy.interfaces.GraphModelInterface.execute_pipeline_step": {"fullname": "causy.interfaces.GraphModelInterface.execute_pipeline_step", "modulename": "causy.interfaces", "qualname": "GraphModelInterface.execute_pipeline_step", "kind": "function", "doc": "
    \n", "signature": "(self, step):", "funcdef": "def"}, "causy.interfaces.GeneratorInterface": {"fullname": "causy.interfaces.GeneratorInterface", "modulename": "causy.interfaces", "qualname": "GeneratorInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC, causy.serialization.SerializeMixin"}, "causy.interfaces.GeneratorInterface.comparison_settings": {"fullname": "causy.interfaces.GeneratorInterface.comparison_settings", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.comparison_settings", "kind": "variable", "doc": "
    \n", "annotation": ": causy.interfaces.ComparisonSettings"}, "causy.interfaces.GeneratorInterface.chunked": {"fullname": "causy.interfaces.GeneratorInterface.chunked", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.chunked", "kind": "variable", "doc": "
    \n", "annotation": ": bool", "default_value": "False"}, "causy.interfaces.GeneratorInterface.generate": {"fullname": "causy.interfaces.GeneratorInterface.generate", "modulename": "causy.interfaces", "qualname": "GeneratorInterface.generate", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.interfaces.IndependenceTestInterface": {"fullname": "causy.interfaces.IndependenceTestInterface", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC, causy.serialization.SerializeMixin"}, "causy.interfaces.IndependenceTestInterface.num_of_comparison_elements": {"fullname": "causy.interfaces.IndependenceTestInterface.num_of_comparison_elements", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.num_of_comparison_elements", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "0"}, "causy.interfaces.IndependenceTestInterface.generator": {"fullname": "causy.interfaces.IndependenceTestInterface.generator", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.generator", "kind": "variable", "doc": "
    \n", "annotation": ": Optional[causy.interfaces.GeneratorInterface]", "default_value": "None"}, "causy.interfaces.IndependenceTestInterface.chunk_size_parallel_processing": {"fullname": "causy.interfaces.IndependenceTestInterface.chunk_size_parallel_processing", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "annotation": ": int", "default_value": "1"}, "causy.interfaces.IndependenceTestInterface.parallel": {"fullname": "causy.interfaces.IndependenceTestInterface.parallel", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.parallel", "kind": "variable", "doc": "
    \n", "annotation": ": bool", "default_value": "True"}, "causy.interfaces.IndependenceTestInterface.threshold": {"fullname": "causy.interfaces.IndependenceTestInterface.threshold", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.threshold", "kind": "variable", "doc": "
    \n"}, "causy.interfaces.IndependenceTestInterface.test": {"fullname": "causy.interfaces.IndependenceTestInterface.test", "modulename": "causy.interfaces", "qualname": "IndependenceTestInterface.test", "kind": "function", "doc": "
    Test if x and y are independent
    \n\n
    Parameters
    \n\n
      \n
    • x:  x values
      • \n
    • y:  y values
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if independent, False otherwise
    \n
    \n", "signature": "(\tself,\tnodes: List[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Optional[causy.interfaces.TestResult]:", "funcdef": "def"}, "causy.interfaces.LogicStepInterface": {"fullname": "causy.interfaces.LogicStepInterface", "modulename": "causy.interfaces", "qualname": "LogicStepInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC, causy.serialization.SerializeMixin"}, "causy.interfaces.LogicStepInterface.execute": {"fullname": "causy.interfaces.LogicStepInterface.execute", "modulename": "causy.interfaces", "qualname": "LogicStepInterface.execute", "kind": "function", "doc": "
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: dict):", "funcdef": "def"}, "causy.interfaces.ExitConditionInterface": {"fullname": "causy.interfaces.ExitConditionInterface", "modulename": "causy.interfaces", "qualname": "ExitConditionInterface", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "abc.ABC, causy.serialization.SerializeMixin"}, "causy.interfaces.ExitConditionInterface.check": {"fullname": "causy.interfaces.ExitConditionInterface.check", "modulename": "causy.interfaces", "qualname": "ExitConditionInterface.check", "kind": "function", "doc": "
    Parameters
    \n\n
      \n
    • graph: 
      • \n
    • graph_model_instance_: 
      • \n
    • actions_taken: 
      • \n
    • iteration: 
      • \n
    \n\n
    Returns
    \n\n
    \n  
    True if you want to break an iteration, False otherwise
    \n
    \n", "signature": "(\tself,\tgraph: causy.interfaces.BaseGraphInterface,\tgraph_model_instance_: causy.interfaces.GraphModelInterface,\tactions_taken: List[causy.interfaces.TestResult],\titeration: int) -> bool:", "funcdef": "def"}, "causy.orientation_tests": {"fullname": "causy.orientation_tests", "modulename": "causy.orientation_tests", "kind": "module", "doc": "
    \n"}, "causy.orientation_tests.ColliderTest": {"fullname": "causy.orientation_tests.ColliderTest", "modulename": "causy.orientation_tests", "qualname": "ColliderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.ColliderTest.generator": {"fullname": "causy.orientation_tests.ColliderTest.generator", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.ColliderTest.chunk_size_parallel_processing": {"fullname": "causy.orientation_tests.ColliderTest.chunk_size_parallel_processing", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.ColliderTest.parallel": {"fullname": "causy.orientation_tests.ColliderTest.parallel", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.ColliderTest.test": {"fullname": "causy.orientation_tests.ColliderTest.test", "modulename": "causy.orientation_tests", "qualname": "ColliderTest.test", "kind": "function", "doc": "
    We call triples x, y, z of nodes v structures if x and y that are NOT adjacent but share an adjacent node z.\nV structures looks like this in the undirected skeleton: (x - z - y).\nWe now check if z is in the separating set.\nIf z is not in the separating set, we know that x and y are uncorrelated given z.\nSo, the edges must be oriented from x to z and from y to z (x -> z <- y).
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.NonColliderTest": {"fullname": "causy.orientation_tests.NonColliderTest", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.NonColliderTest.generator": {"fullname": "causy.orientation_tests.NonColliderTest.generator", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.NonColliderTest.chunk_size_parallel_processing": {"fullname": "causy.orientation_tests.NonColliderTest.chunk_size_parallel_processing", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.NonColliderTest.parallel": {"fullname": "causy.orientation_tests.NonColliderTest.parallel", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.NonColliderTest.test": {"fullname": "causy.orientation_tests.NonColliderTest.test", "modulename": "causy.orientation_tests", "qualname": "NonColliderTest.test", "kind": "function", "doc": "
    Further orientation rule: all v structures that are colliders are already oriented.\nWe now orient all v structures that have a single alternative to being a collider.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.FurtherOrientTripleTest": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.FurtherOrientTripleTest.generator": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.generator", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.FurtherOrientTripleTest.chunk_size_parallel_processing": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.chunk_size_parallel_processing", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.FurtherOrientTripleTest.parallel": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.parallel", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.parallel", "kind": "variable", "doc": "
    \n", "default_value": "False"}, "causy.orientation_tests.FurtherOrientTripleTest.test": {"fullname": "causy.orientation_tests.FurtherOrientTripleTest.test", "modulename": "causy.orientation_tests", "qualname": "FurtherOrientTripleTest.test", "kind": "function", "doc": "
    Further orientation rule.
    \n\n
    Parameters
    \n\n
      \n
    • nodes:  list of nodes
      • \n
    • graph:  the current graph\n:returns: list of actions that will be executed on graph
      • \n
    \n", "signature": "(\tself,\tnodes: Tuple[str],\tgraph: causy.interfaces.BaseGraphInterface) -> Union[List[causy.interfaces.TestResult], causy.interfaces.TestResult, NoneType]:", "funcdef": "def"}, "causy.orientation_tests.OrientQuadrupleTest": {"fullname": "causy.orientation_tests.OrientQuadrupleTest", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest", "kind": "class", "doc": "
    Helper class that provides a standard way to create an ABC using\ninheritance.
    \n", "bases": "causy.interfaces.IndependenceTestInterface"}, "causy.orientation_tests.OrientQuadrupleTest.generator": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.generator", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.generator", "kind": "variable", "doc": "
    \n", "default_value": "<causy.generators.AllCombinationsGenerator object>"}, "causy.orientation_tests.OrientQuadrupleTest.chunk_size_parallel_processing": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.chunk_size_parallel_processing", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.chunk_size_parallel_processing", "kind": "variable", "doc": "
    \n", "default_value": "1"}, "causy.orientation_tests.OrientQuadrupleTest.parallel": {"fullname": "causy.orientation_tests.OrientQuadrupleTest.parallel", "modulename": "causy.orientation_tests", "qualname": "OrientQuadrupleTest.parallel", "kind": "variable", "doc": "
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    Further orientation rule.
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    • nodes:  list of nodes
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      \n
    • lists:  lists of numbers
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    \n\n
    Returns
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    \n\n
      \n
    • x:  a tensor
      • \n
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      • \n
    \n\n
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    \n\n
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     // mirrored in build-search-index.js (part 1)
     // Also split on html tags. this is a cheap heuristic, but good enough.