Code to reproduce Tabnine-Chat error

test.py

# This will cause Chat to throw an error the fifth time /explain-code is invoked


import altair as alt
import pandas as pd
from vega_datasets import data

# Load the data from the Vega dataset
cars = data.cars()

# Create a bar chart using the Altair library
alt.Chart(cars).mark_bar().encode(
    x="Horsepower:Q", y="Miles_per_Gallon:Q", color="Origin:N"
)


# Melt the data frame
melted_cars = pd.melt(
    cars,
    id_vars=["Name", "Miles_per_Gallon"],
    value_vars=[
        "Horsepower",
        "Cylinders",
        "Displacement",
        "Weight_in_lbs",
        "Acceleration",
        "Year",
    ],
)

# Create a jitter chart for all the values in the melted_cars dataframe
# Generated by Tabnine-chat - Does not work
jitter_chart = (
    alt.Chart(melted_cars)
    .mark_circle(size=60)
    .encode(
        x="value:Q",
        y="variable:N",
        color="variable:N",
        tooltip=["value:Q", "variable:N"],
    )
    .transform_calculate(jitter="random() - 0.5")
    .transform_joinaggregate(mean="mean(value)", count="count(value)")
    .transform_calculate(
        x="if(datum.count > 1, (datum.mean - datum.stddev) + jitter, mean)",
        y="if(datum.count > 1, (datum.mean + datum.stddev) + jitter, mean)",
    )
    .transform_calculate(r="min(width, height) / 2")
    .transform_scale(x=[-r, r], y=[-r, r])
)