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  2. github.com/istio/istio

    manifests/charts/istiod-remote/templates/crd-all.gen.yaml 

                            if a sidecar is present in the workload.
                      type: string
                    weight:
                      description: The load balancing weight associated with the endpoint.
                      type: integer
                  type: object
                type: array
              exportTo:
    Others
    - Registered: Wed Mar 20 22:53:08 GMT 2024
    - Last Modified: Fri Mar 15 18:46:49 GMT 2024
    - 570.3K bytes
    - Viewed (0)
  3. github.com/istio/istio

    manifests/charts/base/crds/crd-all.gen.yaml 

                            if a sidecar is present in the workload.
                      type: string
                    weight:
                      description: The load balancing weight associated with the endpoint.
                      maximum: 4294967295
                      minimum: 0
                      type: integer
                  type: object
    Others
    - Registered: Wed Apr 24 22:53:08 GMT 2024
    - Last Modified: Mon Apr 22 20:20:47 GMT 2024
    - 606.1K bytes
    - Viewed (0)
  4. github.com/square/okhttp

    okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt 

    1DF1F..1DF24  ; disallowed                             # NA   <reserved-1DF1F>..<reserved-1DF24>
1DF25..1DF2A  ; valid                                  # 15.0 LATIN SMALL LETTER D WITH MID-HEIGHT LEFT HOOK..LATIN SMALL LETTER T WITH MID-HEIGHT LEFT HOOK
1DF2B..1DFFF  ; disallowed                             # NA   <reserved-1DF2B>..<reserved-1DFFF>
    Plain Text
    - Registered: Fri May 03 11:42:14 GMT 2024
    - Last Modified: Sat Feb 10 11:25:47 GMT 2024
    - 854.1K bytes
    - Viewed (2)
  5. github.com/tensorflow/tensorflow

    RELEASE.md 

        *   `steps_per_epoch` and `steps` arguments are supported with numpy arrays.
    *   New error message when unexpected keys are used in
        sample_weight/class_weight dictionaries
    *   Losses are scaled in Keras compile/fit and not in the optimizers
        anymore. If you are using custom training loop, we have new utilities to
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
    - Viewed (8)
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