and let DE be the Ray incident upon the first side of the Prism AC where
the Light goes into the Glass; and by putting the Proportion of the Sine
of Incidence to the Sine of Refraction as 17 to 11 find EF the first
refracted Ray. Then taking this Ray for the Incident Ray upon the second
side of the Glass BC where the Light goes out, find the next refracted

      * Replace `LossScaleOptimizer(opt, "dynamic")` with `LossScaleOptimizer(opt)`. If you pass anything other than `"dynamic"` to the second argument, see (1) of the next section.
    * In the following rare cases, you need to make more changes when switching to the non-experimental API:
      * If you passed anything other than `"dynamic"` to the `loss_scale` argument (the second argument) of `LossScaleOptimizer`:

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uid    Gary David Gregory (Code signing key) <******@****.***>

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Version: BCPG v1.68

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- Fixes regression in CPUManager that had the (rare) possibility to release exclusive CPUs in app containers inherited from init containers. ([#90419](https://github.com/kubernetes/kubernetes/pull/90419), [@klueska](https://github.com/klueska)) [SIG Node]

                     requirement that all Listeners are available on all assigned
                     addresses.


                  Compatible combinations in Extended support are expected to vary across
                  implementations. A combination that is compatible for one implementation
                  may not be compatible for another.

213F          ; mapped                 ; 03C0          # 3.2  DOUBLE-STRUCK CAPITAL PI
2140          ; mapped                 ; 2211          # 3.2  DOUBLE-STRUCK N-ARY SUMMATION
2141..2144    ; valid                  ;      ; NV8    # 3.2  TURNED SANS-SERIF CAPITAL G..TURNED SANS-SERIF CAPITAL Y

represents the number of true elements, and the second dimension (columns)
represents the coordinates of the true elements. Keep in mind, the shape of
the output tensor can vary depending on how many true values there are in
`condition`. Indices are output in row-major order.

For example:

```
# 'input' tensor is [[True, False]
#                    [True, False]]