[#BloombergLP-bdlb-Float-classifyFine-05]
= xref:BloombergLP.adoc[BloombergLP]::xref:BloombergLP/bdlb.adoc[bdlb]::xref:BloombergLP/bdlb/Float.adoc[Float]::classifyFine
:relfileprefix: ../../../
:mrdocs:

Return the fine‐grained classification of the specified `number`.

== Synopsis

Declared in `<bdlb_float.h>`

[source,cpp,subs="verbatim,replacements,macros,-callouts"]
----
static
xref:BloombergLP/bdlb/Float/FineClassification.adoc[FineClassification]
classifyFine(double number);
----

== Description

For positive numbers and quiet NaNs, `classifyFine` returns the same integer value as `classify`. For negative numbers, `classifyFine` returns an integer value equal to value returned by `classify` bit‐wise OR'ed with `k_NEGATIVE`. For signaling NaNs, `classifyFine` returns `k_SNAN`, which has the integer value of `k_NAN | k_SIGNALING`.

== Return Value

fine‐grained classification of `number`

== Parameters

[cols="1,4"]
|===
| Name| Description
| *number*
| floating‐point value to classify
|===


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