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Update src/saving_utils.py
Browse files- src/saving_utils.py +4 -4
src/saving_utils.py
CHANGED
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@@ -7,7 +7,7 @@ script_dir = os.path.dirname(os.path.abspath(__file__))
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sys.path.append('..')
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sys.path.append('.')
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def save_similarity_output(output_dict, method_name, leaderboard_path="/home/user/app/src/data/leaderboard_results.csv", similarity_path="
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# Load or initialize the DataFrames
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print(script_dir)
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if os.path.exists(leaderboard_path):
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@@ -68,7 +68,7 @@ def save_similarity_output(output_dict, method_name, leaderboard_path="/home/use
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return 0
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def save_function_output(model_output, method_name, func_results_path="
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# Load or initialize the DataFrames
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if os.path.exists(func_results_path):
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func_results_df = pd.read_csv(func_results_path)
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@@ -133,7 +133,7 @@ def save_function_output(model_output, method_name, func_results_path="./data/fu
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return 0
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def save_family_output(model_output, method_name, leaderboard_path="
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# Load or initialize the DataFrames
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if os.path.exists(leaderboard_path):
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leaderboard_df = pd.read_csv(leaderboard_path)
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@@ -170,7 +170,7 @@ def save_family_output(model_output, method_name, leaderboard_path="./data/leade
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return leaderboard_df, family_results_df
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def save_affinity_output(model_output, method_name, leaderboard_path="
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# Load or initialize DataFrames
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if os.path.exists(leaderboard_path):
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leaderboard_df = pd.read_csv(leaderboard_path)
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sys.path.append('..')
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sys.path.append('.')
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def save_similarity_output(output_dict, method_name, leaderboard_path="/home/user/app/src/data/leaderboard_results.csv", similarity_path="/home/user/app/src/data/similarity_results.csv"):
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# Load or initialize the DataFrames
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print(script_dir)
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if os.path.exists(leaderboard_path):
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return 0
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def save_function_output(model_output, method_name, func_results_path="/home/user/app/src/data/function_results.csv", leaderboard_path="/home/user/app/src/data/leaderboard_results.csv"):
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# Load or initialize the DataFrames
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if os.path.exists(func_results_path):
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func_results_df = pd.read_csv(func_results_path)
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return 0
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def save_family_output(model_output, method_name, leaderboard_path="/home/user/app/src/data/leaderboard_results.csv", family_results_path="/home/user/app/src/data/family_results.csv"):
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# Load or initialize the DataFrames
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if os.path.exists(leaderboard_path):
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leaderboard_df = pd.read_csv(leaderboard_path)
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return leaderboard_df, family_results_df
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def save_affinity_output(model_output, method_name, leaderboard_path="/home/user/app/src/data/leaderboard_results.csv", affinity_results_path="/home/user/app/src/data/affinity_results.csv"):
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# Load or initialize DataFrames
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if os.path.exists(leaderboard_path):
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leaderboard_df = pd.read_csv(leaderboard_path)
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