Pandas IntervalArray equality with wrong length Iterable raises TypeError

Code Sample, a copy-pastable example if possible

>>> import pandas as pd
>>> pd.__version__
'1.1.0.dev0+288.gac61a8a62'
>>> pd.core.arrays.IntervalArray.from_breaks([1, 2, 3, 4]) == (i for i in range(10))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\simon\pandas\pandas\core\arrays\interval.py", line 562, in __eq__
    if len(self) != len(other):
TypeError: object of type 'generator' has no len()
>>>

Problem description

Raises TypeError

mypy gives pandas\core\arrays\interval.py:563: error: Argument 1 to "len" has incompatible type "object"; expected "Sized"

similar problem with IntegerArray

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\simon\pandas\pandas\core\ops\common.py", line 64, in new_method
    return method(self, other)
  File "C:\Users\simon\pandas\pandas\core\arrays\integer.py", line 531, in cmp_method
    if len(self) != len(other):
TypeError: len() of unsized object
>>>

and other Extension Arrays.

Expected Output

Not to raise TypeError

I think returning

<BooleanArray>
[False, False, False]
Length: 3, dtype: boolean

would be consistent with numpy array

>>> import numpy as np
>>> np.array([1, 2, 3]) == (i for i in range(10))
array([False, False, False])

and Series

>>> pd.Series([1, 2, 3]) == (i for i in range(10))
0    False
1    False
2    False
dtype: bool
>>>

Output of pd.show_versions()

[paste the output of ``pd.show_versions()`` here below this line]

Comment From: jorisvandenbossche

I am personally not sure we should return a boolean array if the "length" doesn't match

Comment From: jbrockmendel

im with joris on this one. id expect this to behave like self == list(other) (or just refuse to operate and raise)

Comment From: simonjayhawkins

an iterator doesn't have a length. we just take values.

imo array-likes should behave consistently, so EA should behave like np.ndarray and pd.Series.