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  1. src/testdata/Isaac.Newton-Opticks.txt

    order, the violet lying on the inside of the Fringe next the Shadow, the
    red on the outside farthest from the Shadow, and the blue, green, and
    yellow, in the middle. And, in like manner, the middlemost Fringes of
    all the Colours lying in order, and being contiguous, make another broad
    Fringe composed of all the Colours; and the outmost Fringes of all the
    Colours lying in order, and being contiguous, make a third broad Fringe
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Oct 01 16:16:21 UTC 2018
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  2. RELEASE.md

    *   `tf.data`
    
        *   `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  3. CHANGELOG/CHANGELOG-1.19.md

    - Enable feature Gate DefaultPodTopologySpread to use PodTopologySpread plugin to do defaultspreading. In doing so, legacy DefaultPodTopologySpread plugin is disabled. ([#91793](https://github.com/kubernetes/kubernetes/pull/91793), [@alculquicondor](https://github.com/alculquicondor)) [SIG Scheduling]
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
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  4. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    padded on the left with ones. So this gives the same result as the previous
    example:
    
    >>> x = tf.constant([1, 2, 3])   # Shape (3,)
    >>> y = tf.broadcast_to(x, [2, 3])
    
    
    When doing broadcasted operations such as multiplying a tensor
    by a scalar, broadcasting (usually) confers some time or space
    benefit, as the broadcasted tensor is never materialized.
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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