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

Here's a Python program that connects to the SQLite database "people.db", queries the "people" table to find the favorite friend of the youngest person who isn't anyone's favorite friend, and prints out the result:

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

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

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
Here's how the program works: 1. We import the `sqlite3` module to interact with the SQLite database. 2. We establish a connection to the "people.db" database using `sqlite3.connect()` and create a cursor object to execute SQL queries. 3. We define the SQL query to find the favorite friend of the youngest person who isn't anyone's favorite friend: - The subquery `SELECT MIN(age) FROM people WHERE name NOT IN (SELECT favorite_friend FROM people)` finds the minimum age among the people who are not listed as anyone's favorite friend. - The main query selects the `favorite_friend` of the person with the minimum age obtained from the subquery. 4. We execute the query using `cursor.execute(query)` and fetch the result using `cursor.fetchone()`. The result will be a tuple containing the favorite friend if found, or `None` if no such person exists. 5. We check if the result is not `None`. If it is not `None`, we extract the favorite friend from the tuple and print it. Otherwise, we print a message indicating that no person was found who isn't anyone's favorite friend. 6. Finally, we close the database connection using `conn.close()` to release the resources. This program will connect to the "people.db" database, execute the SQL query to find the favorite friend of the youngest person who isn't anyone's favorite friend, and print out the result. Note: Make sure that the "people.db" database file is located in the same directory as your Python script, or provide the correct path to the database file in the `sqlite3.connect()` function.

Extract Code

I extracted the following code from that output:

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

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

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()

Run Code Interpreter

Running the following program:

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

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

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
And got the output: The favorite friend of the youngest person who isn't anyone's 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

Here's a Python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend using the SQLite3 database "people.db" and the table "people":

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Query to find the favorite friend of the youngest person who isn't anyone's favorite friend
query = '''
SELECT p1.favorite_friend
FROM people p1
WHERE p1.age = (
    SELECT MIN(age)
    FROM people
    WHERE name NOT IN (
        SELECT favorite_friend
        FROM people
    )
)
'''

# Execute the query
cursor.execute(query)

# Fetch the result
result = cursor.fetchone()

# Print the favorite friend
if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
Explanation: 1. We import the `sqlite3` module to interact with the SQLite3 database. 2. We establish a connection to the "people.db" database using `sqlite3.connect()` and create a cursor object to execute SQL queries. 3. We define the SQL query using a multi-line string. The query does the following: - It selects the `favorite_friend` column from the `people` table aliased as `p1`. - It uses a subquery to find the minimum age of the people who are not anyone's favorite friend. - The outer query then selects the `favorite_friend` of the person with that minimum age. 4. We execute the query using `cursor.execute()`. 5. We fetch the result using `cursor.fetchone()`. If a result is found, it means there is a person who isn't anyone's favorite friend. We extract the favorite friend from the result and print it. 6. If no result is found, it means there is no person who isn't anyone's favorite friend, and we print a corresponding message. 7. Finally, we close the database connection using `conn.close()`. Make sure you have the "people.db" database file in the same directory as the Python script. The script will connect to the database, execute the query, and print the favorite friend of the youngest person who isn't anyone's favorite friend.

Extract Code

I extracted the following code from that output:

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Query to find the favorite friend of the youngest person who isn't anyone's favorite friend
query = '''
SELECT p1.favorite_friend
FROM people p1
WHERE p1.age = (
    SELECT MIN(age)
    FROM people
    WHERE name NOT IN (
        SELECT favorite_friend
        FROM people
    )
)
'''

# Execute the query
cursor.execute(query)

# Fetch the result
result = cursor.fetchone()

# Print the favorite friend
if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()

Run Code Interpreter

Running the following program:

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Query to find the favorite friend of the youngest person who isn't anyone's favorite friend
query = '''
SELECT p1.favorite_friend
FROM people p1
WHERE p1.age = (
    SELECT MIN(age)
    FROM people
    WHERE name NOT IN (
        SELECT favorite_friend
        FROM people
    )
)
'''

# Execute the query
cursor.execute(query)

# Fetch the result
result = cursor.fetchone()

# Print the favorite friend
if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
And got the output: The favorite friend of the youngest person who isn't anyone's 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

Here's a Python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend using the provided SQLite database:

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import sqlite3

# Connect to the SQLite database
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 favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''
cursor.execute(query)
result = cursor.fetchone()

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

# Close the database connection
conn.close()
Explanation: 1. We import the `sqlite3` module to interact with the SQLite database. 2. We establish a connection to the `people.db` database using `sqlite3.connect()` and create a cursor object to execute SQL queries. 3. We define an SQL query to find the youngest person who isn't anyone's favorite friend. The query does the following: - Selects the `name`, `favorite_friend`, and `age` columns from the `people` table. - Filters the rows where the `name` is not present in the `favorite_friend` column of any row using a subquery. - Orders the results by `age` in ascending order to get the youngest person. - Limits the result to only one row using `LIMIT 1`. 4. We execute the query using `cursor.execute()` and fetch the result using `cursor.fetchone()`. The `fetchone()` method retrieves the first row of the result set, or `None` if no rows are found. 5. If a result is found (`result` is not `None`), we unpack the values into `name`, `favorite_friend`, and `age` variables. We then print a message indicating the favorite friend of the youngest person who isn't anyone's favorite friend. 6. If no result is found (`result` is `None`), we print a message indicating that no person was found who isn't anyone's favorite friend. 7. Finally, we close the database connection using `conn.close()` to release the resources. Make sure the `people.db` database file is in the same directory as the Python script when running the program. This program will retrieve the favorite friend of the youngest person who isn't listed as anyone's favorite friend from the `people` table in the `people.db` database.

Extract Code

I extracted the following code from that output:

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import sqlite3

# Connect to the SQLite database
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 favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''
cursor.execute(query)
result = cursor.fetchone()

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

# Close the database connection
conn.close()

Run Code Interpreter

Running the following program:

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import sqlite3

# Connect to the SQLite database
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 favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''
cursor.execute(query)
result = cursor.fetchone()

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

# Close the database connection
conn.close()
And got the output: The favorite friend of the youngest person who isn't anyone's 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

Here's a Python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend, using the provided SQLite database "people.db" and table "people":

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
c = conn.cursor()

# Query to find the youngest person who isn't anyone's favorite friend
query = '''
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''

# Execute the query
c.execute(query)

# Fetch the result
result = c.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
Here's how the program works: 1. We import the `sqlite3` module to interact with the SQLite database. 2. We establish a connection to the "people.db" database using `sqlite3.connect()` and create a cursor object `c` to execute queries. 3. We define the SQL query to find the youngest person who isn't anyone's favorite friend. The query does the following: - It selects the `favorite_friend` column from the "people" table. - It uses a subquery to find all the names that are someone's favorite friend. - It filters the main query to include only the names that are not present in the subquery result (i.e., people who aren't anyone's favorite friend). - It orders the result by the `age` column in ascending order to get the youngest person. - It limits the result to 1 row using `LIMIT 1`. 4. We execute the query using `c.execute(query)`. 5. We fetch the result using `c.fetchone()`, which returns the first row of the result set. 6. We check if a result is found: - If a result is found, we extract the `favorite_friend` value from the result tuple and print it. - If no result is found (i.e., everyone is someone's favorite friend), we print a message indicating that no person was found. 7. Finally, we close the database connection using `conn.close()`. Make sure that the "people.db" database file is in the same directory as your Python script, and the "people" table has the columns "name", "favorite_friend", "age", and "profession". When you run this Python program, it will print the favorite friend of the youngest person who isn't anyone's favorite friend based on the data in the "people" table of the "people.db" database.

Extract Code

I extracted the following code from that output:

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
c = conn.cursor()

# Query to find the youngest person who isn't anyone's favorite friend
query = '''
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''

# Execute the query
c.execute(query)

# Fetch the result
result = c.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()

Run Code Interpreter

Running the following program:

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import sqlite3

# Connect to the SQLite database
conn = sqlite3.connect('people.db')
c = conn.cursor()

# Query to find the youngest person who isn't anyone's favorite friend
query = '''
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1;
'''

# Execute the query
c.execute(query)

# Fetch the result
result = c.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
And got the output: The favorite friend of the youngest person who isn't anyone's 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

Here's a Python program that retrieves the favorite friend of the youngest person who isn't anyone's favorite friend from the `people` table in the `people.db` SQLite3 database:

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1
""")

result = cursor.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
Let's go through the program step by step: 1. We import the `sqlite3` module to establish a connection with the SQLite3 database. 2. We connect to the `people.db` database using `sqlite3.connect()` and create a cursor object to execute SQL queries. 3. We execute an SQL query using the `cursor.execute()` method. The query selects the `favorite_friend` from the `people` table where the `name` is not present in the list of favorite friends (i.e., the person isn't anyone's favorite friend). We order the results by `age` in ascending order and limit the result to 1 row using `LIMIT 1` to get the youngest person who meets the criteria. 4. We fetch the result using `cursor.fetchone()`, which returns a tuple containing the selected columns. In this case, it will return a tuple with a single element representing the `favorite_friend` of the youngest person who isn't anyone's favorite friend. 5. We check if the `result` is not `None`. If it is not `None`, we extract the `favorite_friend` from the result tuple and print it. If the `result` is `None`, it means no person was found who isn't anyone's favorite friend, and we print a corresponding message. 6. Finally, we close the database connection using `conn.close()` to release the resources. Make sure you have the `people.db` database file in the same directory as your Python script. When you run this program, it will retrieve and print the favorite friend of the youngest person who isn't anyone's favorite friend from the `people` table in the database.

Extract Code

I extracted the following code from that output:

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1
""")

result = cursor.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()

Run Code Interpreter

Running the following program:

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import sqlite3

# Connect to the SQLite3 database
conn = sqlite3.connect('people.db')
cursor = conn.cursor()

# Find the youngest person who isn't anyone's favorite friend
cursor.execute("""
    SELECT favorite_friend
    FROM people
    WHERE name NOT IN (SELECT favorite_friend FROM people)
    ORDER BY age ASC
    LIMIT 1
""")

result = cursor.fetchone()

if result:
    favorite_friend = result[0]
    print("The favorite friend of the youngest person who isn't anyone's favorite friend is:", favorite_friend)
else:
    print("No person found who isn't anyone's favorite friend.")

# Close the database connection
conn.close()
And got the output: The favorite friend of the youngest person who isn't anyone's favorite friend is: Grace

Substring Evaluation

Testing if the previous output contains the string Grace: True