UncheckedRangeDomainPoleErrors: add missing cases

[knewbury01]

Description

fixes #193

misses this one still - l?lrint[fl]? and l?lround[fl]? where the rounded input value is outside the range of the return type.
couldnt figure out how to know the range of the return type other than to compare to whether its in the range of values on MIN/MAX_LONG for lrint and MIN/MAX_LONG llrint... and not quite sure if that is the right approach. but this case was already described as not covered, and the changes in this PR are already a significant addition to the coverage compared to before

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• Queries have been modified for the following rules:
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  • FLP32-C

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🚨🚨🚨
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Query development review checklist

For PRs that add new queries or modify existing queries, the following checklist should be completed by both the author and reviewer:

Author

• Have all the relevant rule package description files been checked in?
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• Do all the unit tests contain both "COMPLIANT" and "NON_COMPLIANT" cases?
• Are the alert messages properly formatted and consistent with the style guide?
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  As a rule of thumb, predicates specific to the query should take no more than 1 minute, and for simple queries be under 10 seconds. If this is not the case, this should be highlighted and agreed in the code review process.
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• Have you considered/identified possible edge cases?
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Reviewer

• Have all the relevant rule package description files been checked in?
• Have you verified that the metadata properties of each new query is set appropriately?
• Do all the unit tests contain both "COMPLIANT" and "NON_COMPLIANT" cases?
• Are the alert messages properly formatted and consistent with the style guide?
• Have you run the queries on OpenPilot and verified that the performance and results are acceptable?
  As a rule of thumb, predicates specific to the query should take no more than 1 minute, and for simple queries be under 10 seconds. If this is not the case, this should be highlighted and agreed in the code review process.
• Does the query have an appropriate level of in-query comments/documentation?
• Have you considered/identified possible edge cases?
• Does the query not reinvent features in the standard library?
• Can the query be simplified further (not golfed!)

[rvermeulen]

Suggested change

	fc.getArgument(0).getValue().toFloat() = -1.0
	(fc.getArgument(0).getValue().toFloat() + 1.0).abs() < 0.001

Due to the imprecision of floating points we can't compare them like this.
You need to subtract them and check whether their absolute value is smaller than some epsilon.