SchemaModel not able to use registered checks

[seb84924]

Describe the bug pa.SchemaModel is not able to use custom checks.

• [*] I have checked that this issue has not already been reported.
• [*] I have confirmed this bug exists on the latest version of pandas.
• [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

import pandas as pd
import pandera as pa
from pandera import Field
import pandera.extensions as extensions
from pandera.typing import Series

@extensions.register_check_method(statistics=["min_value", "max_value"])
def is_between(pandas_obj, *, min_value, max_value):
    return (min_value <= pandas_obj) & (pandas_obj <= max_value)

df = pd.DataFrame([10], columns=["col"])

schema = pa.DataFrameSchema(
    {"col": pa.Column(int, pa.Check.is_between(min_value=1, max_value=9))}
)

try:
    schema.validate(df)
except pa.errors.SchemaError:
    print("fails as expected")

class Schema(pa.SchemaModel):
    col: Series[int] = Field(is_between={"min_value": 1, "max_value": 9})

Schema.validate(df)
print("does not fail as expected")

Expected behavior

I would expect Schema.validate(df) to cause an error.

Desktop (please complete the following information):

• Windows
• Pandera 0.6.0

[cosmicBboy]

Thanks for finding this issue @seb84924! this bug is kind of embarrassing 😅. #373 should address it. Will release this fix as part of 0.6.1.