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ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_11.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 19:02:40 GMT 2026 - 66.1K bytes - Click Count (1) -
requirements_lock_3_10.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Apr 07 11:39:48 GMT 2026 - 69.3K bytes - Click Count (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_10.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 19:02:40 GMT 2026 - 66.1K bytes - Click Count (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_12.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 19:02:40 GMT 2026 - 66.1K bytes - Click Count (0) -
requirements_lock_3_12.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Apr 07 11:39:48 GMT 2026 - 69.3K bytes - Click Count (0) -
requirements_lock_3_14.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Apr 07 11:39:48 GMT 2026 - 73.6K bytes - Click Count (0) -
requirements_lock_3_13.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Apr 07 11:39:48 GMT 2026 - 67.8K bytes - Click Count (0) -
requirements_lock_3_11.txt
# via keras-nightly packaging==23.2 \ --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \ --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7 # via # -r ci/official/requirements_updater/requirements.in # auditwheel # keras-nightly # tb-nightly portpicker==1.6.0 \Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Apr 07 11:39:48 GMT 2026 - 69.3K bytes - Click Count (0) -
.bazelrc
# at the scripts of ci/official/ to see how TF's CI uses them. # PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel # will work properly. These are usually run Nightly or upon Release. # CPU WHEEL test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Mar 28 04:33:01 GMT 2026 - 58.9K bytes - Click Count (0) -
guava/src/com/google/common/collect/MapMakerInternalMap.java
* are guarded by a lock and operations are applied in batches to avoid lock contention. The * penalty of applying the batches is spread across threads so that the amortized cost is slightly * higher than performing just the operation without enforcing the capacity constraint. * * This implementation uses a per-segment queue to record a memento of the additions, removals,
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Wed Apr 01 17:27:13 GMT 2026 - 89.9K bytes - Click Count (0)