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  1. CONTRIBUTING.md

    may exist in your changes.
    
    #### Running unit tests
    
    There are two ways to run TensorFlow unit tests.
    
    1.  Using tools and libraries installed directly on your system.
    
        Refer to the
        [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile)
        and
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  2. analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirCallResolver.kt

                argumentMapping[valueArgument] = parameterSymbol
            }
        }
    
        private fun FirExpression.findSourceKtExpressionForCallArgument(): KtExpression? {
            // For smart-casted expression, refer to the source of the original expression
            // For spread, named, and lambda arguments, the source is the KtValueArgument.
            // For other arguments (including array indices), the source is the KtExpression.
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  3. common-protos/k8s.io/api/extensions/v1beta1/generated.proto

      // Implementations of this API should ignore Ingresses without a class
      // specified. An IngressClass resource may be marked as default, which can
      // be used to set a default value for this field. For more information,
      // refer to the IngressClass documentation.
      // +optional
      optional string ingressClassName = 4;
    
      // A default backend capable of servicing requests that don't match any
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  4. maven-core/src/site/apt/offline-mode.apt

        server processes which work by conversing over a port may fail.
    
      * Not all "remote" repositories will fail. Specifically, if the remote
        repo uses the file:// protocol, and it doesn't refer to a shared
        filesystem, it will continue to be available.
    
      The question remaining is: Which level of offline mode will we support? It
      seems reasonable to assume that users will be able to tell when localhost is
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  5. CREDITS

    OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
    ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
    OTHER DEALINGS IN THE SOFTWARE.
    
    For more information, please refer to <http://unlicense.org/>
    
    ================================================================
    
    github.com/xdg/scram
    https://github.com/xdg/scram
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  6. docs/tr/docs/async.md

    ## Coroutine'ler
    
    **Coroutine**, bir `async def` fonksiyonu tarafından döndürülen değer için çok süslü bir terimdir. Python bunun bir fonksiyon gibi bir noktada başlayıp biteceğini bilir, ancak içinde bir `await` olduğunda dahili olarak da duraklatılabilir ⏸.
    
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  7. RELEASE.md

            `trace_on`.
    
    *   `tf.estimator`
    
        *   The tf.estimator API is removed.
    
    *   Keras 3.0 will be the default Keras version. You may need to update your
        script to use Keras 3.0.
    
    *   Please refer to the new Keras documentation for Keras 3.0
        (https://keras.io/keras_3).
    
    *   To continue using Keras 2.0, do the following.
    
    *   1.  Install tf-keras via pip install tf-keras~=2.16
    
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  8. docs/metrics/prometheus/README.md

    This document explains how to setup Prometheus and configure it to scrape data from MinIO servers.
    
    ## Prerequisites
    
    To get started with MinIO, refer [MinIO QuickStart Document](https://min.io/docs/minio/linux/index.html#quickstart-for-linux).
    Follow below steps to get started with MinIO monitoring using Prometheus.
    
    ### 1. Download Prometheus
    
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  9. doc/README.md

    and replaced with those of `initial`. From the repo root:
    
        > cd doc
        > rm -r next/*
        > cp -r initial/* next
    
    Then edit `next/1-intro.md` to refer to the next version.
    
    To prepare the release notes for a release, run `golang.org/x/build/cmd/relnote generate`.
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  10. common-protos/k8s.io/api/storage/v1beta1/generated.proto

      // not share the same nomenclature for nodes. For example, Kubernetes may
      // refer to a given node as "node1", but the storage system may refer to
      // the same node as "nodeA". When Kubernetes issues a command to the storage
      // system to attach a volume to a specific node, it can use this field to
      // refer to the node name using the ID that the storage system will
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