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Reproducible Example

import pandas as pd
import numpy as np
result = pd.interval_range(start=np.float32(0), end=2, freq=1)
print(result)

Issue Description

I'd expect the above code to produce an IntervalIndex with dtype interval[float64, right], because I'm giving a float32 as the starting value. This has been the behavior in pandas 2.2.2.

The current main branch produces the following output, though, which ignores the starting value's type:
IntervalIndex([(0, 1], (1, 2]], dtype='interval[int64, right]')

The change seems due to #57399. The PR was meant to preserve the start/end type, but actually changed the behavior so that it isn't preserved anymore in the above case.

Expected Behavior

Expected output:
IntervalIndex([(0.0, 1.0], (1.0, 2.0]], dtype='interval[float64, right]')

Installed Versions