Spaces:
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Sleeping
Fix divide by zero error.
Browse files- .gitignore +2 -0
- database.sqlite +0 -0
- execution_accuracy.py +11 -1
- test.py +43 -0
.gitignore
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@@ -0,0 +1,2 @@
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.database.sqlite
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.test.py
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database.sqlite
ADDED
Binary file (8.19 kB). View file
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execution_accuracy.py
CHANGED
@@ -80,6 +80,8 @@ class ExecutionAccuracy(evaluate.Metric):
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features=datasets.Features({
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'predictions': datasets.Value('string'),
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'references': datasets.Value('string'),
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}),
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# Homepage of the module for documentation
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homepage="http://module.homepage",
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@@ -116,7 +118,15 @@ class ExecutionAccuracy(evaluate.Metric):
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# If only the reference passes the filter, count it
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elif pred_bool != ref_bool:
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divider += 1
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-
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accuracy = sum(execute_func(i) == execute_func(j) for i, j in zip(filtered_predictions, filtered_references)) / divider
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return {
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features=datasets.Features({
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'predictions': datasets.Value('string'),
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'references': datasets.Value('string'),
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'execute_func': datasets.Value(),
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'filter_func': datasets.Value(),
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}),
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# Homepage of the module for documentation
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homepage="http://module.homepage",
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# If only the reference passes the filter, count it
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elif pred_bool != ref_bool:
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divider += 1
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else:
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filtered_predictions = predictions
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filtered_references = references
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divider = len(predictions)
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# If all preds and refs are filtered, execution accuracy makes no sense
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if divider == 0:
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divider = -1
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accuracy = sum(execute_func(i) == execute_func(j) for i, j in zip(filtered_predictions, filtered_references)) / divider
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return {
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test.py
ADDED
@@ -0,0 +1,43 @@
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from evaluate import load
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import sqlite3
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module = load("LuckiestOne/valid_efficiency_score")
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# Create connection to the database
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database_path = "database.sqlite"
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connection = sqlite3.connect(database_path)
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# Cursor
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cursor = connection.cursor()
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# Create table
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cursor.execute('''CREATE TABLE IF NOT EXISTS Player
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(PlayerID INTEGER PRIMARY KEY,
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PlayerName TEXT NOT NULL);''')
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# Insert a row of data
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cursor.execute("INSERT INTO Player VALUES (1, 'Cristiano Ronaldo')")
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cursor.execute("INSERT INTO Player VALUES (2, 'Lionel Messi')")
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# Define the function that will execute the SQL queries
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def execute(sql_query):
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# Execute the SQL queries
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cursor.execute(sql_query)
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result = cursor.fetchall()
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return result
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sql_queries_pred = [
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"SELECT COUNT(*) FROM Player WHERE PlayerName = 'Cristiano Ronaldo'",
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"SELECT COUNT(*) FROM Player WHERE PlayerName = 'Lionel Messi'"
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]
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sql_queries_ref = [
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"SELECT COUNT(*) FROM Player WHERE PlayerName = 'Cristiano Ronaldo'",
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"SELECT COUNT(*) FROM Player WHERE PlayerName = 'Lionel Messi'"
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]
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# Compute the score
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results = module.compute(predictions=sql_queries_pred, references=sql_queries_ref, execute=execute)
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print(results)
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