Make Wildcard use in names possible for stucture

[SlimFrkh]

Today, we can't type describe some structrure partially. for example, col a and b are ints + I don't care about other columns.
Example function:

def add_a_col_in_df(df):
    df["new_col"] = df["a"] + df["b"]
    return df

with wildcard on colnames we would make type hints like follows:

from nptyping import DataFrame
from nptyping import Structure as S

def add_a_col_in_df(df : DataFrame[S["[a, b]: Int, *: Any"]]) -> DataFrame[S["[a, b, new_col]: Int, *: Any"]]:
    df["new_col"] = df["a"] + df["b"]
    return df

[ramonhagenaars]

There is a release 2.5.0 in the making that will include this.
The syntax will be as follows:

from nptyping import DataFrame, Structure as S

DataFrame[S["[a, b]: Int, *"]]  # <-- a DataFrame with AT LEAST int columns a and b

[ramonhagenaars]

With v2.5.0 this issue should be resolved. Please let me know if you encounter any problems still.