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Erdem Sariyuce
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started with the magic function declaration
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‎.gitignore‎

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blazegraph.jnl
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rules.log
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*.env
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notebook/destination/dir/About-the-Neptune-Notebook.ipynb
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notebook/destination/dir/Overview.ipynb
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notebook/destination/dir/Untitled.ipynb
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notebook/destination/dir/Untitled1.ipynb
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notebook/destination/dir/.ipynb_checkpoints/Untitled-checkpoint.ipynb
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notebook/destination/dir/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
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notebook/destination/dir/01-Neptune-Database/01-Getting-Started/01-About-the-Neptune-Notebook.ipynb
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notebook/destination/dir/01-Neptune-Database/01-Getting-Started/02-Using-Gremlin-to-Access-the-Graph.ipynb
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notebook/destination/dir/01-Neptune-Database/01-Getting-Started/03-Using-RDF-and-SPARQL-to-Access-the-Graph.ipynb
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notebook/destination/dir/01-Neptune-Database/01-Getting-Started/04-Social-Network-Recommendations-with-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/01-Getting-Started/05-Dining-By-Friends-in-Amazon-Neptune.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/Air-Routes-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/Air-Routes-openCypher.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/Air-Routes-SPARQL.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/Blog Workbench Visualization.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/EPL-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/EPL-openCypher.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/EPL-SPARQL.ipynb
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notebook/destination/dir/01-Neptune-Database/02-Visualization/Grouping-and-Appearance-Customization-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/00-Sample-Applications-Overview.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/README.md
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/01-Fraud-Graphs/01-Building-a-Fraud-Graph-Application.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/02-Knowledge-Graphs/Building-a-Knowledge-Graph-Application-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/02-Knowledge-Graphs/Building-a-Knowledge-Graph-Application-openCypher.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/01-Building-an-Identity-Graph-Application.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/02-Data-Modeling-for-Identity-Graphs.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL/glue_utils.py
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL/script/neptune-glue-demographics.py
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL/script/neptune-glue-telemetry.py
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/03-Identity-Graphs/03-Jumpstart-Identity-Graphs-Using-Canonical-Model-and-ETL/script/neptune-glue-transactions.py
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/04-Security-Graphs/01-Building-a-Security-Graph-Application-with-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/04-Security-Graphs/01-Building-a-Security-Graph-Application-with-openCypher.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/05-Healthcare-and-Life-Sciences-Graphs/01-Modeling-Molecular-Structures-as-Graph-Data-Gremlin.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/06-Data-Science-Samples/01-Identifying-Fraud-Rings-Using-Social-Network-Analytics.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/06-Data-Science-Samples/02-Identifying-1st-Person-Synthetic-Identity-Fraud-Using-Graph-Similarity.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/06-Data-Science-Samples/03-Logistics-Analysis-using-a-Transportation-Network.ipynb
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notebook/destination/dir/01-Neptune-Database/03-Sample-Applications/07-Games-Industry-Graphs/01-Building-a-Social-Network-for-Games-Gremlin.ipynb
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notebook/destination/dir/02-Neptune-Analytics/01-Getting-Started/01-Getting-Started-With-Neptune-Analytics.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/00-Amazon-Neptune-Analytics-Algorithm-Support.pdf
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/01-Getting-Started-With-Graph-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/02-Path-Finding-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/03-Centrality-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/04-Community-Detection-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/05-Similarity-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/06-Vector-Similarity-Algorithms.ipynb
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notebook/destination/dir/02-Neptune-Analytics/02-Graph-Algorithms/.ipynb_checkpoints/03-Centrality-Algorithms-checkpoint.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/Overview.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/01-FinTech/01-Fraud-Ring-Identifcation.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/02-Investment-Analysis/01-EDGAR-Competitor-Analysis-using-Knowledge-Graph-Graph-Algorithms-and-Vector-Search.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/00-Intro-to-Software-Bill-Of-Materials.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/01-SBOM-Dependency-Analysis.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/02-SBOM-Vulnerability-Analysis.ipynb
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/nodestream_template.yaml
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/01/aws-sdk-pandas_aws_de5d1610d6d4ea3be44a01ab3f09b64e291a4ab7.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/01/boto3_boto_6bbdf83ee00b749587f0fe54778fbec5411147b5.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/01/graph-explorer_aws_39eed2c8bae4afc1b38fa7975c720461a7c7c3a6.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/01/graph-notebook_aws_bb96dd8d0d9ef9d0e9060f8c5e26a042a3db40c4.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/02/aws-cli-2-0-6.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/02/gremlin-console-3-7-1_cydx.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/example_sboms/02/gremlin-server-3-7-1-cydx.json
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notebook/destination/dir/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/sbom_code/sbom_helper.py
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notebook/destination/dir/02-Neptune-Analytics/04-OpenCypher-Over-RDF/01-Air-Routes.ipynb
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notebook/destination/dir/02-Neptune-Analytics/04-OpenCypher-Over-RDF/02-Air-Routes-GeoNames.ipynb
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notebook/destination/dir/02-Neptune-Analytics/04-OpenCypher-Over-RDF/Air-Routes-Ontology-Diagram.png
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notebook/destination/dir/03-Neptune-ML/neptune_ml_utils.py
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notebook/destination/dir/03-Neptune-ML/neptune-ml-pretrained-model-config.json
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/01-Getting-Started-with-Neptune-ML-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/02-Introduction-to-Node-Classification-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/03-Introduction-to-Node-Regression-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/04-Introduction-to-Link-Prediction-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/05-Introduction-to-Edge-Classification-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/01-Gremlin/06-Introduction-to-Edge-Regression-Gremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/neptune_ml_sparql_utils.py
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/Neptune-ML-00-Getting-Started-with-Neptune-ML-SPARQL.ipynb
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/Neptune-ML-01-Introduction-to-Object-Classification-SPARQL.ipynb
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/Neptune-ML-02-Introduction-to-Object-Regression-SPARQL.ipynb
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/Neptune-ML-03-Introduction-to-Link-Prediction-SPARQL.ipynb
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notebook/destination/dir/03-Neptune-ML/02-SPARQL/neptune-ml-pretrained-rdf-model-config.json
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/02-Job-Recommendation-Text-Encoding.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/03-Real-Time-Fraud-Detection-Using-Inductive-Inference.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/01-People-Analytics/People-Analytics-using-Neptune-ML.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/01-People-Analytics/WA_Fn-UseC_-HR-Employee-Attrition.csv
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/1a-Use-case.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/1b-Graph_init.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/2a-GraphQueryGremlin.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/2b-GraphQueryLLM.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/3a-TransductiveMode-CellPrediction.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/3b-InductiveModeCell-Prediction.ipynb
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/neptune_ml_utils.py
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notebook/destination/dir/03-Neptune-ML/03-Sample-Applications/04-Telco-Networks/Transform2Neptune.py
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notebook/destination/dir/04-Language-Tutorials/01-Gremlin/01-Basic-Read-Queries.ipynb
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notebook/destination/dir/04-Language-Tutorials/01-Gremlin/02-Loops-Repeats.ipynb
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notebook/destination/dir/04-Language-Tutorials/01-Gremlin/03-Ordering-Functions-Grouping.ipynb
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notebook/destination/dir/04-Language-Tutorials/01-Gremlin/04-Creating-Updating-Deleting-Queries.ipynb
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notebook/destination/dir/04-Language-Tutorials/01-Gremlin/Gremlin-Exercises-Answer-Sheet.ipynb
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notebook/destination/dir/04-Language-Tutorials/02-openCypher/01-Basic-Read-Queries.ipynb
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notebook/destination/dir/04-Language-Tutorials/02-openCypher/02-Variable-Length-Paths.ipynb
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notebook/destination/dir/04-Language-Tutorials/02-openCypher/03-Ordering-Functions-Grouping.ipynb
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notebook/destination/dir/04-Language-Tutorials/02-openCypher/04-Creating-Updating-Delete-Queries.ipynb
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notebook/destination/dir/04-Language-Tutorials/02-openCypher/openCypher-Exercises-Answer-Key.ipynb
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notebook/destination/dir/04-Language-Tutorials/03-SPARQL/01-SPARQL-Basics.ipynb

‎src/graph_notebook/magics/graph_magic.py‎

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@@ -3920,3 +3920,45 @@ def handle_opencypher_status(self, line, local_ns):
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store_to_ns(args.store_to, js, local_ns)
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if not args.silent:
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print(json.dumps(js, indent=2))
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# degreeDistribution
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# No error handling, see the calls in other magics for approrpriate error handling
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@line_magic
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@needs_local_scope
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@display_exceptions
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@neptune_graph_only
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def degreeDistribution(self, line, local_ns: dict = None):
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parser = argparse.ArgumentParser()
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# get the vertexLabels and edgeLabels
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summary_res = self.client.statistics("propertygraph", True, "detailed", True)
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summary_res.raise_for_status() # checks for HTTP error
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summary_res_json = summary_res.json() # gets the json object
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vertexLabels = summary_res_json['nodeLabels']
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edgeLabels = summary_res_json['edgeLabels']
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print(vertexLabels)
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print("-----------")
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print(edgeLabels)
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print("-----------")
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# traversalDirection
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parser.add_argument('--traversalDirection', nargs='?', type=str.lower, default="both",
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help=f'Type of the degree for which the distribution is shown. Valid inputs: {TRAVERSAL_DIRECTIONS}. '
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f'Default: both.',
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choices=TRAVERSAL_DIRECTIONS)
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# vertexLabels
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parser.add_argument('--vertexLabels', default=[],
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help="The vertex labels for which the induced graph is considered and the degree distribution is shown. If not supplied, "
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"we will default to using all the vertex labels.")
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# edgeLabels
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parser.add_argument('--edgeLabels', default=[],
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help="The edge labels for which the degree distribution is shown. If not supplied, "
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"we will default to using all the edge labels.")

‎src/graph_notebook/neptune/client.py‎

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GRAPH_PG_INFO_METRICS = {'numVertices', 'numEdges', 'numVertexProperties', 'numEdgeProperties'}
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TRAVERSAL_DIRECTIONS = {'both', 'inbound', 'outbound'}
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def is_allowed_neptune_host(hostname: str, host_allowlist: list):
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for host_snippet in host_allowlist:

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