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Rename package to graphdatascience
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.isort.cfg

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[settings]
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profile = black
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known_first_party = gdsclient
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known_first_party = graphdatascience

MANIFEST.in

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include requirements/base.txt
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include LICENSE
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prune gdsclient/tests
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prune graphdatascience/tests

README.md

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TESTING.md

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examples/fastrp-and-knn.ipynb

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"id": "5cb64c55",
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"metadata": {},
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"source": [
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"# gdsclient example demonstration\n",
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"# graphdatascience example\n",
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"\n",
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"This notebook exemplifies how to use the `gdsclient` Python library to operate Neo4j GDS.\n",
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"This notebook exemplifies how to use the `graphdatascience` Python library to operate Neo4j GDS.\n",
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"It runs the FastRP+kNN end-to-end example from the GDS Manual, found [here](https://neo4j.com/docs/graph-data-science/current/end-to-end-examples/fastrp-knn-example).\n",
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"\n",
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"\n",
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"Running this notebook requires a localhost Neo4j server with a recent GDS version (2.0+) installed.\n",
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"We recommend using Neo4j Desktop.\n",
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"\n",
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"Also required are the Python libraries neo4j ([Neo4j Python Driver](https://neo4j.com/docs/api/python-driver/current/index.html)) and of course the gdsclient (see README for installation instructions)."
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"Also required are the Python libraries neo4j ([Neo4j Python Driver](https://neo4j.com/docs/api/python-driver/current/index.html)) and of course the `graphdatascience` (see README for installation instructions)."
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]
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},
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{
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"outputs": [],
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"source": [
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"from neo4j import GraphDatabase\n",
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"from gdsclient import Neo4jQueryRunner, GraphDataScience\n",
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"from graphdatascience import Neo4jQueryRunner, GraphDataScience\n",
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"\n",
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"# Set up driver and gds module\n",
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"URI = \"bolt://localhost:7687\" # Override according to your setup\n",
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