[Python] pyarrow large integer conversion

I have a json document that looks like this. 

{"number": 123451234512345123451234512}

I then run the below code. 

>>> from pyarrow.json import read_json
>>> pyarrow_table = read_json('pyarrow_test.json')
>>> pyarrow_table['number'][0].as_py().as_integer_ratio()
(123451234512345125900779520, 1)

notice the float that I get looks like it has been rounded or modified in some way.

Am I reading this file incorrectly or is there an issue with the conversion of this number?

**Reporter**: [Donald Freeman](https://issues.apache.org/jira/browse/ARROW-17393)

_{**Note**: *This issue was originally created as [ARROW-17393](https://issues.apache.org/jira/browse/ARROW-17393). Please see the [migration documentation](https://github.com/apache/arrow/issues/14542) for further details.*}

Start by reproducing the example with pyarrow.json.read_json and the supplied large-integer JSON value. Trace how the Python reader represents the number and determine whether the observed rounding is expected; done means the behavior is corrected or clearly covered by an agreed regression test or explanation.

Written by the indexing model from the issue text.