Merge branch 'branch-23.10' of github.com:rapidsai/cugraph into fea/d…

…evcontainers

python/cugraph/cugraph/datasets/__init__.py

@@ -27,6 +27,7 @@
 meta_path = Path(__file__).parent / "metadata"
 
 cyber = Dataset(meta_path / "cyber.yaml")
+dining_prefs = Dataset(meta_path / "dining_prefs.yaml")
 dolphins = Dataset(meta_path / "dolphins.yaml")
 email_Eu_core = Dataset(meta_path / "email_Eu_core.yaml")
 karate = Dataset(meta_path / "karate.yaml")

python/cugraph/cugraph/datasets/metadata/dining_prefs.yaml

@@ -0,0 +1,23 @@
+name: dining_prefs
+file_type: .csv
+description:  Classic social networking dataset describes dining preferences for a dormitory in New York state.
+author: J.L. Moreno
+refs:
+  J. L. Moreno (1960). The Sociometry Reader. The Free Press, Glencoe, Illinois, pg.35
+delim: " "
+header: None
+col_names:
+  - src
+  - dst
+  - wgt
+col_types:
+  - string
+  - string
+  - int
+has_loop: false
+is_directed: false
+is_multigraph: false
+is_symmetric: true
+number_of_edges: 42
+number_of_nodes: 26
+url:  https://data.rapids.ai/cugraph/datasets/dining_prefs.csv

python/cugraph/cugraph/testing/__init__.py

@@ -23,6 +23,7 @@
 )
 from cugraph.datasets import (
     cyber,
+    dining_prefs,
     dolphins,
     karate,
     karate_disjoint,
@@ -42,6 +43,7 @@
 UNDIRECTED_DATASETS = [karate, dolphins]
 SMALL_DATASETS = [karate, dolphins, polbooks]
 WEIGHTED_DATASETS = [
+    dining_prefs,
     dolphins,
     karate,
     karate_disjoint,
@@ -51,6 +53,7 @@
     small_tree,
 ]
 ALL_DATASETS = [
+    dining_prefs,
     dolphins,
     karate,
     karate_disjoint,