As a user, I want an "unbounded" time dimension in pairs and statistics formats that most software applications can parse into a time

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Author Name: James (James)
Original Redmine Issue: 96218, https://vlab.noaa.gov/redmine/issues/96218
Original Date: 2021-09-14

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Given an evaluation that writes pairs or statistics
When the pools are described for an unbounded time dimension
Then most software applications used by real users should be able to read them

Examples of languages: python applications, R applications, bash applications etc.

( Some applications can handle things like @+1000000000-12-31T23:59:59.999999999Z@, such as java and bash applications, others cannot so easily, such as python, apparently. )

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Original Redmine Comment
Author Name: James (James)
Original Date: 2021-09-14T14:08:39Z

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See #96190-12 onwards.

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Original Redmine Comment
Author Name: Chris (Chris)
Original Date: 2021-09-14T14:18:14Z

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|\3. Date Ranges |
|. Tech |. Minimum Date |_. Maximum Date |
| Postgres | 4713-01-01T00:00:00+0000 BC | 294276-12-31T23:59:59+0000 |
| Python | 0001-01-01T00:00:00+0000 | 9999-12-31T23:59:59+0000 |

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Original Redmine Comment
Author Name: James (James)
Original Date: 2021-09-14T14:20:56Z

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Useful, thanks. Those python bounds are surprising. Is that core python or whatever you call it?

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Original Redmine Comment
Author Name: James (James)
Original Date: 2021-09-14T14:21:53Z

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I mean, no paleontological time-series in Python, I guess, at least not as times :)

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Original Redmine Comment
Author Name: Chris (Chris)
Original Date: 2021-09-14T14:22:28Z

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Yeah, that's vanilla. The Numpy ranges are probably greater due to them being implemented in C or Fortran, not python.

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Original Redmine Comment
Author Name: Chris (Chris)
Original Date: 2021-09-14T14:34:38Z

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It looks like numpy can handle [9200000000000000000 BC, 9200000000000000000 AD].

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Original Redmine Comment
Author Name: James (James)
Original Date: 2021-09-14T14:36:06Z

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Ha, that should be wide enough :) ( Still, we should change it. )