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  1. tensorflow/cc/saved_model/testdata/chunked_saved_model/chunked_model/saved_model.pbtxt

    4\300\346?\353x\314\263\352\017\354?\200=\010p\373}\264?\351\3337C\224\033\347?aiv(\322\310\356?\263\276\032\2247C\353?\324\007\266}t\344\317?\211@9$\305>\344?\350\220\177\312\036O\327?</\361o\216\241\353?\n\352H\214\344#\324?\230\342\234[Mq\316?Z\242~\270dI\341?\2730\005X\205\001\340?h\202\242\257\301y\347?\340\351\340\005\013\335\271?_\305\033\3038\210\354?LR\300\n5l\332?tb\324\316\275@\334?\242\341\353L\030\301\322?\350\370\307\327\266!\336?Hl\224\354|\010\273??\321\031Y\335\003\356?\310\2128...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 08 21:43:11 UTC 2023
    - 531.2K bytes
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  2. okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt

    2C10          ; mapped                 ; 2C40          # 4.1  GLAGOLITIC CAPITAL LETTER NASHI
    2C11          ; mapped                 ; 2C41          # 4.1  GLAGOLITIC CAPITAL LETTER ONU
    2C12          ; mapped                 ; 2C42          # 4.1  GLAGOLITIC CAPITAL LETTER POKOJI
    2C13          ; mapped                 ; 2C43          # 4.1  GLAGOLITIC CAPITAL LETTER RITSI
    Registered: Sun Jun 16 04:42:17 UTC 2024
    - Last Modified: Sat Feb 10 11:25:47 UTC 2024
    - 854.1K bytes
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  3. RELEASE.md

        [CVE-2021-22898](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-22898),
        and
        [CVE-2021-22901](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-22901).
    
    # Release 2.4.2
    
    This release introduces several vulnerability fixes:
    
    *   Fixes a heap buffer overflow in `RaggedBinCount`
        ([CVE-2021-29512](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29512))
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 730.3K bytes
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  4. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    ```
       [[[[1], [2]],
         [[3], [4]]]]
    ```
    
    Here, the input has a batch of 1 and each batch element has shape `[1, 1, 4]`,
    the corresponding output will have 2x2 elements and will have a depth of
    1 channel (1 = `4 / (block_size * block_size)`).
    The output element shape is `[2, 2, 1]`.
    
    For an input tensor with larger depth, here of shape `[1, 1, 1, 12]`, e.g.
    
    ```
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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