Fix unhandled numpy.round overflow return value in core/util.py:bound…

…_range(...) (#5095)

* Core/Util: Fix unhandled np.round overflow return

The function numpy.round return for the input
np.float64(2.6558061446181644e+295) the output
numpy.inf. This should lead to
density = full_precision_density.

* Core/Util: Supress numpy.round overflow error

The function numpy.round produces for the input
numpy.float64(2.6558061446181644e+295) an
FloatingPointError with the message
"overflow encountered in multiply". This error
should be suppressed because its an internal
computation by holoview.

* Use context manager

Co-authored-by: christoph.weiss@gtd-gmbh.de <christoph.weiss@gtd-gmbh.de>
Co-authored-by: Philipp Rudiger <prudiger@anaconda.com>

holoviews/core/util.py

@@ -1969,8 +1969,9 @@ def bound_range(vals, density, time_unit='us'):
         with warnings.catch_warnings():
             warnings.filterwarnings('ignore', r'invalid value encountered in double_scalars')
             full_precision_density = compute_density(low, high, len(vals)-1)
-            density = round(full_precision_density, sys.float_info.dig)
-        if density == 0:
+            with np.errstate(over='ignore'):
+                density = round(full_precision_density, sys.float_info.dig)
+        if density == 0 or density == np.inf:
             density = full_precision_density
     if density == 0:
         raise ValueError('Could not determine Image density, ensure it has a non-zero range.')