import pandas as pd


def create_quantile_table(streaming_table: pd.DataFrame) -> pd.DataFrame:
    """
    Creates a table with quantiles appended by day after release.

    :param streaming_table: source table with streaming data
    :return: source table with three quantile columns - `50_pct`, `75_pct` and `100_pct` appended.
    """
    df1 = streaming_table.groupby('date_diff').quantile(.5)
    df2 = streaming_table.groupby('date_diff').quantile(.75)
    df3 = streaming_table.groupby('date_diff').quantile(1)

    _res = df1.merge(df2, on="date_diff").merge(df3, on="date_diff")
    _res.rename(columns={"streams_x": "50_pct", "streams_y": "75_pct", "streams": "100_pct"})

    return streaming_table.merge(_res, on="date_diff")