Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age)
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")

result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
  print(f"Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()
**Explanation:** 1. **Connect to the database:** - `conn = sqlite3.connect('people.db')`: Establishes a connection to the 'people.db' database. - `cursor = conn.cursor()`: Creates a cursor object to execute SQL commands. 2. **Find the target person:** - The SQL query does the following: - `SELECT name, favorite_friend, MIN(age)`: Selects the name, favorite_friend, and minimum age. - `FROM people`: Specifies the 'people' table. - `WHERE name NOT IN (SELECT favorite_friend FROM people)`: This is the crucial part. It filters for people whose names don't appear in the `favorite_friend` column (meaning they are not anyone's favorite). - `MIN(age)` and the absence of `GROUP BY` ensure we get the youngest person among those who meet the criteria. 3. **Fetch and print the result:** - `result = cursor.fetchone()`: Retrieves the first row (and only row in this case) of the result. - The `if result:` block checks if a result was found. If so, it extracts the name, favorite friend, and age from the `result` tuple and prints them. - If no result is found, it prints a message indicating that. 4. **Close the connection:** - `conn.close()`: Closes the database connection to release resources. This code assumes your database file 'people.db' is in the same directory as the Python script. If not, provide the correct path to the file.

Extract Code

I extracted the following code from that output: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age)
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")

result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
  print(f"Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()

Run Code Interpreter

Running the following program: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age)
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")

result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
  print(f"Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()
And got the output: The youngest person who isn't anyone's favorite friend is Judy, who is 27 years old. Their favorite friend is Grace.

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age)
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")

result = cursor.fetchone()

if result:
    name, favorite_friend, age = result
    print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
    print(f"Their favorite friend is {favorite_friend}.")
else:
    print("No one in the database meets the criteria.")

conn.close()
**Explanation:** 1. **Connect to the database:** - `conn = sqlite3.connect('people.db')` establishes a connection to the database file. - `cursor = conn.cursor()` creates a cursor object to execute SQL commands. 2. **SQL Query:** - The core logic lies in the SQL query: 
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     SELECT name, favorite_friend, MIN(age)
     FROM people
     WHERE name NOT IN (SELECT favorite_friend FROM people)
- **`SELECT name, favorite_friend, MIN(age)`**: Retrieves the name, favorite friend, and minimum age. - **`FROM people`**: Specifies the table to query. - **`WHERE name NOT IN (SELECT favorite_friend FROM people)`**: This is the crucial part. It filters for people whose names don't appear in the `favorite_friend` column (meaning they are not someone's favorite). 3. **Execute Query and Fetch Result:** - `cursor.execute(...)` executes the SQL query. - `result = cursor.fetchone()` fetches the first row (and in this case, the only expected row) of the result. 4. **Process and Print Result:** - The code checks if `result` is not empty. If a result is found: - It unpacks the result tuple into `name`, `favorite_friend`, and `age`. - It prints the name, age, and favorite friend of the person. - If no result is found, it prints a message indicating that. 5. **Close Connection:** - `conn.close()` closes the database connection, which is important for releasing resources.

Extract Code

I extracted the following code from that output: 

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import sqlite3

if __name__ == "__main__":
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    # Find the youngest person who isn't anyone's favorite friend
    cursor.execute("""
        SELECT name, favorite_friend, MIN(age)
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people)
    """)

    result = cursor.fetchone()

    if result:
        name, favorite_friend, age = result
        print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
        print(f"Their favorite friend is {favorite_friend}.")
    else:
        print("No one in the database meets the criteria.")

    conn.close()

Run Code Interpreter

Running the following program: 

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import sqlite3

if __name__ == "__main__":
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    # Find the youngest person who isn't anyone's favorite friend
    cursor.execute("""
        SELECT name, favorite_friend, MIN(age)
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people)
    """)

    result = cursor.fetchone()

    if result:
        name, favorite_friend, age = result
        print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old.")
        print(f"Their favorite friend is {favorite_friend}.")
    else:
        print("No one in the database meets the criteria.")

    conn.close()
And got the output: The youngest person who isn't anyone's favorite friend is Judy, who is 27 years old. Their favorite friend is Grace.

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, MIN(age), favorite_friend 
    FROM people 
    WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
""")

result = cursor.fetchone()

if result:
  name, age, favorite_friend = result
  print(f"The youngest person who isn't anyone's favorite is {name}, aged {age}. Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()
**Explanation:** 1. **Connect to the database:** - `conn = sqlite3.connect('people.db')` establishes a connection to the database file. - `cursor = conn.cursor()` creates a cursor object to execute SQL commands. 2. **SQL Query:** - The core logic lies in this SQL query: 
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     SELECT name, MIN(age), favorite_friend 
     FROM people 
     WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
- **Outer query:** - `SELECT name, MIN(age), favorite_friend`: Selects the name, minimum age, and favorite friend. - `FROM people`: Specifies the table to retrieve data from. - **Inner query:** - `SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL`: This subquery identifies all the unique names that appear as someone's favorite friend. - **WHERE name NOT IN ...`: This condition filters the results of the outer query to include only those people whose names are NOT present in the list of favorite friends obtained from the inner query. 3. **Execute the query:** - `cursor.execute(...)` runs the SQL query against the database. 4. **Fetch the result:** - `result = cursor.fetchone()` retrieves the first row (and in this case, the only expected row) of the query result. 5. **Print the output:** - The code checks if a result was found (`if result:`). - If found, it extracts the `name`, `age`, and `favorite_friend` from the result tuple and prints the information. - If no one matches the criteria, it prints a message indicating that. 6. **Close the connection:** - `conn.close()` closes the connection to the database, which is important for releasing resources.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def main():
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    # Find the youngest person who isn't anyone's favorite friend
    cursor.execute("""
        SELECT name, MIN(age), favorite_friend 
        FROM people 
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
    """)

    result = cursor.fetchone()

    if result:
        name, age, favorite_friend = result
        print(f"The youngest person who isn't anyone's favorite is {name}, aged {age}. Their favorite friend is {favorite_friend}.")
    else:
        print("No one in the database meets the criteria.")

    conn.close()

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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import sqlite3

def main():
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    # Find the youngest person who isn't anyone's favorite friend
    cursor.execute("""
        SELECT name, MIN(age), favorite_friend 
        FROM people 
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
    """)

    result = cursor.fetchone()

    if result:
        name, age, favorite_friend = result
        print(f"The youngest person who isn't anyone's favorite is {name}, aged {age}. Their favorite friend is {favorite_friend}.")
    else:
        print("No one in the database meets the criteria.")

    conn.close()

if __name__ == "__main__":
    main()
And got the output: The youngest person who isn't anyone's favorite is Judy, aged 27. Their favorite friend is Grace.

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
query = """
SELECT name, favorite_friend, age
FROM people
WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
ORDER BY age
LIMIT 1;
"""
cursor.execute(query)
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one found matching the criteria.")

conn.close()
**Explanation:** 1. **Connect to the database:** - `conn = sqlite3.connect('people.db')` establishes a connection to the database file. - `cursor = conn.cursor()` creates a cursor object to execute SQL queries. 2. **Construct the SQL query:** - The query uses a subquery to find names that are NOT in the `favorite_friend` column (meaning they are not anyone's favorite). - It then orders the results by age in ascending order (`ORDER BY age`) and limits the output to the first row (`LIMIT 1`) to get the youngest person. 3. **Execute the query and fetch the result:** - `cursor.execute(query)` executes the query. - `result = cursor.fetchone()` fetches the first row of the result (which will be a tuple). 4. **Process and print the result:** - The code checks if a result was found (`if result:`). - If found, it unpacks the tuple into `name`, `favorite_friend`, and `age` variables and prints the information. - If no matching person is found, it prints a message indicating that. 5. **Close the database connection:** - `conn.close()` closes the connection to the database, which is important to release resources.

Extract Code

I extracted the following code from that output: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
query = """
SELECT name, favorite_friend, age
FROM people
WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
ORDER BY age
LIMIT 1;
"""
cursor.execute(query)
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one found matching the criteria.")

conn.close()

Run Code Interpreter

Running the following program: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
query = """
SELECT name, favorite_friend, age
FROM people
WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
ORDER BY age
LIMIT 1;
"""
cursor.execute(query)
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one found matching the criteria.")

conn.close()
And got the output: The youngest person who isn't anyone's favorite friend is Judy, who is 27 years old. Their favorite friend is Grace.

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age) 
    FROM people 
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()
**Explanation:** 1. **Connect to the Database:** - `conn = sqlite3.connect('people.db')`: Establishes a connection to the 'people.db' database. - `cursor = conn.cursor()`: Creates a cursor object to interact with the database. 2. **SQL Query:** - The core logic lies in the SQL query: 
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     SELECT name, favorite_friend, MIN(age) 
     FROM people 
     WHERE name NOT IN (SELECT favorite_friend FROM people)
- `SELECT name, favorite_friend, MIN(age)`: Selects the name, favorite friend, and minimum age. - `FROM people`: Specifies the table to retrieve data from. - `WHERE name NOT IN (SELECT favorite_friend FROM people)`: This is the crucial part. It filters for people whose names don't appear in the `favorite_friend` column (meaning they are not anyone's favorite). 3. **Fetch Result:** - `result = cursor.fetchone()`: Retrieves the first row (if any) from the query result. 4. **Print Output:** - If `result` is not empty, it extracts the name, favorite friend, and age from the result tuple and prints the desired output. - If `result` is empty, it means no one in the database satisfies the condition, and a message is printed accordingly. 5. **Close Connection:** - `conn.close()`: Closes the database connection, releasing resources.

Extract Code

I extracted the following code from that output: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age) 
    FROM people 
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()

Run Code Interpreter

Running the following program: 

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import sqlite3

conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT name, favorite_friend, MIN(age) 
    FROM people 
    WHERE name NOT IN (SELECT favorite_friend FROM people)
""")
result = cursor.fetchone()

if result:
  name, favorite_friend, age = result
  print(f"The youngest person who isn't anyone's favorite friend is {name}, who is {age} years old. Their favorite friend is {favorite_friend}.")
else:
  print("No one in the database meets the criteria.")

conn.close()
And got the output: The youngest person who isn't anyone's favorite friend is Judy, who is 27 years old. Their favorite friend is Grace.

Substring Evaluation

Testing if the previous output contains the string Grace: True