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  1. tensorflow/c/BUILD

            "//tensorflow/core:test",
            "//tensorflow/core:test_main",
        ],
    )
    
    tf_custom_op_library(
        name = "test_op1.so",
        srcs = ["test_op1.cc"],
    )
    
    tf_kernel_library(
        name = "test_op_kernel",
        srcs = ["test_op.cc"],
        deps = [
            "//tensorflow/core:framework",
            "//tensorflow/core:lib",
        ],
        alwayslink = 1,
    )
    
    tf_cuda_cc_test(
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  2. docs/tr/docs/async.md

    Hamburger 🍔 almak için 😍 aşkınla Paralel fast food'a gidiyorsun.
    
    Birden fazla kasiyer varken (varsayalım 8) sıraya girdiniz👩‍🍳👨‍🍳👩‍🍳👨‍🍳👩‍🍳👨‍🍳👩‍🍳👨‍🍳 ve sıranız gelene kadar bekliyorsunuz.
    
    Sizden önceki herkez ayrılmadan önce hamburgerlerinin 🍔 hazır olmasını bekliyor 🕙. Çünkü kasiyerlerin her biri bir hamburger hazırlanmadan önce bir sonraki siparişe geçmiiyor.
    
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  3. CONTRIBUTING.md

        ```bash
        bazel test ${flags} //tensorflow/python/...
        ```
    
        For a single component e.g. softmax op:
    
        ```bash
        bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test
        ```
    
        For a single/parameterized test e.g. `test_capture_variables` in
        `tensorflow/python/saved_model/load_test.py`:
    
        (Requires `python>=3.7`)
    
        ```bash
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  4. tensorflow/c/eager/BUILD

                "//tensorflow/core/common_runtime/eager:eager_operation",
                "//tensorflow/core/common_runtime/eager:execute",
                "//tensorflow/core/common_runtime/eager:kernel_and_device",
                "//tensorflow/core/common_runtime/eager:tensor_handle",
                "//tensorflow/core/lib/llvm_rtti",
                "@com_google_absl//absl/types:variant",
            ],
        }) + select({
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  5. ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats

    //tensorflow/lite
    //tensorflow/compiler/mlir/lite
    //tensorflow/compiler/mlir/tfrt
    //tensorflow/core/runtime_fallback
    //tensorflow/core/tfrt
    //tensorflow/python/kernel_tests/signal
    //tensorflow/examples
    //tensorflow/tools/android
    //tensorflow/python/eager/benchmarks
    EOF
    
      # grep patterns for files and targets which don't need to be in the pip
      # package, ever.
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  6. docs/config/README.md

    Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers by using this command: `mc admin config set alias/ heal drive_workers=100` .
    
    
    ```
    ~ mc admin config set alias/ heal
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  7. docs/tr/docs/tutorial/first-steps.md

    Çıktı olarak şöyle bir satır ile karşılaşacaksınız:
    
    ```hl_lines="4"
    INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
    ```
    
    Bu satır, yerel makinenizde uygulamanızın çalıştığı bağlantıyı gösterir.
    
    ### Kontrol Edelim
    
    Tarayıcınızı açıp <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a> bağlantısına gidin.
    
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  8. ci/official/utilities/code_check_full.bats

    //tensorflow/lite
    //tensorflow/compiler/mlir/lite
    //tensorflow/compiler/mlir/tfrt
    //tensorflow/core/runtime_fallback
    //tensorflow/core/tfrt
    //tensorflow/python/kernel_tests/signal
    //tensorflow/examples
    //tensorflow/tools/android
    //tensorflow/python/eager/benchmarks
    EOF
    
      # grep patterns for files and targets which don't need to be in the pip
      # package, ever.
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  9. docs/de/docs/deployment/docker.md

    Linux-Container werden mit demselben Linux-Kernel des Hosts (Maschine, virtuellen Maschine, Cloud-Servers, usw.) ausgeführt. Das bedeutet einfach, dass sie sehr leichtgewichtig sind (im Vergleich zu vollständigen virtuellen Maschinen, die ein gesamtes Betriebssystem emulieren).
    
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  10. docs/en/docs/deployment/docker.md

    Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).
    
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