DataFrame validation on initiation failed to raise error

[Zionett]

Describe the bug
Dataframe validation on initiation fail to raise schema error for data that is of the wrong type or wrong value range. This does not happen in version 0.20.4

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

Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

Slightly modified from example in docs https://pandera.readthedocs.io/en/stable/dataframe_models.html#validate-on-initialization

python version 3.11.10

import pandera as pa

from pandera.typing import DataFrame, Series


class Schema(pa.DataFrameModel):
    state: Series[str]
    city: Series[str]
    price: Series[int] = pa.Field(in_range={"min_value": 5, "max_value": 20})

DataFrame[Schema](
    {
        'state': [100,'FL','GA','CA'],
        'city': ['New York', 'Miami', 'Atlanta', 'San Francisco'],
        'price': [800, 12, 10, 16],
    }
)

print('Passed')

Expected behavior

SchemaError raised due to wrong type in 'state' column, or wrong value range in 'price' column

Desktop (please complete the following information):

• OS: Ubuntu
• Browser: firefox
• Version: 0.21.0

[Zionett]

Oops, duplicate of #1859