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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

            specified by loss function). When this reduction type used with built-in
        Keras training loops like `fit`/`evaluate`, the unreduced vector loss is
        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
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  3. github.com/square/okhttp

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

    # For terms of use, see https://www.unicode.org/terms_of_use.html
#
# Unicode IDNA Compatible Preprocessing for UTS #46
# Version: 15.1.0
#
# For documentation and usage, see https://www.unicode.org/reports/tr46
#
0000..002C    ; disallowed_STD3_valid                  # 1.1  <control-0000>..COMMA
002D..002E    ; valid                                  # 1.1  HYPHEN-MINUS..FULL STOP
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