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okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
FA56 ; mapped ; 7BC0 # 3.2 CJK COMPATIBILITY IDEOGRAPH-FA56 FA57 ; mapped ; 7DF4 # 3.2 CJK COMPATIBILITY IDEOGRAPH-FA57 FA58 ; mapped ; 7E09 # 3.2 CJK COMPATIBILITY IDEOGRAPH-FA58 FA59 ; mapped ; 7E41 # 3.2 CJK COMPATIBILITY IDEOGRAPH-FA59
Registered: Fri Sep 05 11:42:10 UTC 2025 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0) -
lib/fips140/v1.0.0.zip
B1.B16, T2.B16, B1.B16 VST1.P [B0.B16, B1.B16], 32(dstPtr) VLD1.P 32(srcPtr), [T1.B16, T2.B16] VEOR B2.B16, T1.B16, B2.B16 VEOR B3.B16, T2.B16, B3.B16 VST1.P [B2.B16, B3.B16], 32(dstPtr) VLD1.P 32(srcPtr), [T1.B16, T2.B16] VEOR B4.B16, T1.B16, B4.B16 VEOR B5.B16, T2.B16, B5.B16 VST1.P [B4.B16, B5.B16], 32(dstPtr) VLD1.P 32(srcPtr), [T1.B16, T2.B16] VEOR B6.B16, T1.B16, B6.B16 VEOR B7.B16, T2.B16, B7.B16 VST1.P [B6.B16, B7.B16], 32(dstPtr) VLD1.P 32(pTbl), [T1.B16, T2.B16] VREV64 B0.B16, B0.B16 VEOR ACC0.B16,...
Registered: Tue Sep 09 11:13:09 UTC 2025 - Last Modified: Wed Jan 29 15:10:35 UTC 2025 - 635K bytes - Viewed (0) -
api/go1.14.txt
pkg syscall (freebsd-arm64), const SizeofBpfZbufHeader = 32 pkg syscall (freebsd-arm64), const SizeofBpfZbufHeader ideal-int pkg syscall (freebsd-arm64), const SizeofCmsghdr = 12 pkg syscall (freebsd-arm64), const SizeofCmsghdr ideal-int pkg syscall (freebsd-arm64), const SizeofICMPv6Filter = 32 pkg syscall (freebsd-arm64), const SizeofICMPv6Filter ideal-int
Registered: Tue Sep 09 11:13:09 UTC 2025 - Last Modified: Fri Feb 17 20:31:46 UTC 2023 - 508.9K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.19.md
- github.com/spf13/viper: [v1.3.2 → v1.4.0](https://github.com/spf13/viper/compare/v1.3.2...v1.4.0) - github.com/tmc/grpc-websocket-proxy: [89b8d40 → 0ad062e](https://github.com/tmc/grpc-websocket-proxy/compare/89b8d40...0ad062e) - go.opencensus.io: v0.21.0 → v0.22.2 - go.uber.org/atomic: v1.3.2 → v1.4.0 - golang.org/x/exp: 4b39c73 → da58074 - golang.org/x/image: 0694c2d → cff245a
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Wed Jan 05 05:42:32 UTC 2022 - 489.7K bytes - Viewed (0) -
RELEASE.md
[TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/). Specifically, inputs to such ops are rounded from 23 bits of precision to 10 bits of precision. This is unlikely to cause issues in practice for deep learning models. In some cases, TensorFloat-32 is also used for complex64 ops. TensorFloat-32 can be disabled by running
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Aug 18 20:54:38 UTC 2025 - 740K bytes - Viewed (2)