From 98f5a4aed40fd4d6e571a4dcb2bc2886dbca90d6 Mon Sep 17 00:00:00 2001 From: AlonsoGuevara Date: Thu, 19 Dec 2024 19:52:25 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20microsof?= =?UTF-8?q?t/graphrag@e6de713f25eb9299cd9ad7530156044cbb1de37f=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 11b94c19..646c48a9 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_1966/1512985616.py in ?()
+/tmp/ipykernel_1934/1512985616.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 c4da5392..a4327dca 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_1999/2760368953.py in ?()
+/tmp/ipykernel_1968/2760368953.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")