From ea9cb1e7a7fbc6b3d8a2b3d00d90d4bce1878ad8 Mon Sep 17 00:00:00 2001 From: natoverse Date: Thu, 2 Jan 2025 23:26:31 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20microsof?= =?UTF-8?q?t/graphrag@80367be018e3ef1e792ff26c58efee654ddb9101=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples_notebooks/global_search/index.html | 2 +- .../global_search_with_dynamic_community_selection/index.html | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/examples_notebooks/global_search/index.html b/examples_notebooks/global_search/index.html index e5f5f6e2..9bbe67e5 100644 --- a/examples_notebooks/global_search/index.html +++ b/examples_notebooks/global_search/index.html @@ -2248,7 +2248,7 @@ report_df.head()
 ---------------------------------------------------------------------------
 AttributeError                            Traceback (most recent call last)
-/tmp/ipykernel_1911/1512985616.py in ?()
+/tmp/ipykernel_1919/1512985616.py in ?()
       2 entity_df = pd.read_parquet(f"{INPUT_DIR}/{ENTITY_TABLE}.parquet")
       3 report_df = pd.read_parquet(f"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet")
       4 entity_embedding_df = pd.read_parquet(f"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet")
diff --git a/examples_notebooks/global_search_with_dynamic_community_selection/index.html b/examples_notebooks/global_search_with_dynamic_community_selection/index.html
index ccb8fe9b..d23b6f6a 100644
--- a/examples_notebooks/global_search_with_dynamic_community_selection/index.html
+++ b/examples_notebooks/global_search_with_dynamic_community_selection/index.html
@@ -2156,7 +2156,7 @@ report_df.head()
 
 ---------------------------------------------------------------------------
 AttributeError                            Traceback (most recent call last)
-/tmp/ipykernel_1945/2760368953.py in ?()
+/tmp/ipykernel_1951/2760368953.py in ?()
       2 entity_df = pd.read_parquet(f"{INPUT_DIR}/{ENTITY_TABLE}.parquet")
       3 report_df = pd.read_parquet(f"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet")
       4 entity_embedding_df = pd.read_parquet(f"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet")