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okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
1F0B1..1F0BE ; valid ; ; NV8 # 6.0 PLAYING CARD ACE OF HEARTS..PLAYING CARD KING OF HEARTS 1F0BF ; valid ; ; NV8 # 7.0 PLAYING CARD RED JOKER 1F0C0 ; disallowed # NA <reserved-1F0C0> 1F0C1..1F0CF ; valid ; ; NV8 # 6.0 PLAYING CARD ACE OF DIAMONDS..PLAYING CARD BLACK JOKER
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0) -
src/testdata/Isaac.Newton-Opticks.txt
[Illustration: FIG. 2.] Much after the same manner, if ACBD [in _Fig._ 3.] represent a Glass spherically convex on both sides (usually called a _Lens_, such as is a Burning-glass, or Spectacle-glass, or an Object-glass of a Telescope) and it be required to know how Light falling upon it from any lucid point Q shall be refracted, let QM represent a Ray falling upon any point M of its first spherical Surface ACB, and by erecting a
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Oct 01 16:16:21 UTC 2018 - 553.9K bytes - Viewed (0) -
RELEASE.md
# Release 2.12.1 ### Bug Fixes and Other Changes * The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance. # Release 2.12.0 ### Breaking Changes
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
api/openapi-spec/v3/apis__resource.k8s.io__v1alpha2_openapi.json
"description": "DriverName defines the name of the dynamic resource driver that is used for allocation of a ResourceClaim that uses this class.\n\nResource drivers have a unique name in forward domain order (acme.example.com).", "type": "string" }, "kind": {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Apr 22 12:18:45 UTC 2024 - 656.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]] tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]] tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"] tf.reduce_join(a, [0, 1]) ==> "acbd" tf.reduce_join(a, [1, 0]) ==> "abcd" tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]] tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd" ``` }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)