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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

        *   Both seeded and unseeded initializers will always generate the same
        values every time they are called (for a given variable shape). For
        unseeded initializers (`seed=None`), a random seed will be created and
        assigned at initializer creation (different initializer instances get
        different seeds).
    *   An unseeded initializer will raise a warning if it is reused (called)
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  3. github.com/square/okhttp

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

    2B5A..2B73    ; valid                  ;      ; NV8    # 7.0  SLANTED NORTH ARROW WITH HOOKED HEAD..DOWNWARDS TRIANGLE-HEADED ARROW TO BAR
2B74..2B75    ; disallowed                             # NA   <reserved-2B74>..<reserved-2B75>
2B76..2B95    ; valid                  ;      ; NV8    # 7.0  NORTH WEST TRIANGLE-HEADED ARROW TO BAR..RIGHTWARDS BLACK ARROW
2B96          ; disallowed                             # NA   <reserved-2B96>
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    - Registered: Fri May 03 11:42:14 GMT 2024
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