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ci/official/README.md
# click to "Invocation Details" and find BUILD_CONFIG, which will contain a # "build_file" item that indicates the script used. ci/official/wheel.sh # Advanced: Select specific build/test targets with "any.sh". # TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh # Afterwards: Examine the results, which will include: The bazel cache, # generated artifacts like .whl files, and "script.log", from the script.
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
licenses = ["notice"], ) # Filesystem implementation for GCS environments tf_cc_shared_object( name = "gcs_filesystem", framework_so = [], linkstatic = False, per_os_targets = 1, visibility = ["//visibility:public"], deps = [":gcs_filesystem_impl"], ) # The real implementation of the filesystem. cc_library( name = "gcs_filesystem_impl", srcs = ["gcs_filesystem.cc"],
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Makefile.core.mk
# For now, keep a minimal subset. This can be expanded in the future. BENCH_TARGETS ?= ./pilot/... PKG ?= ./... .PHONY: racetest racetest: $(JUNIT_REPORT) go test ${GOBUILDFLAGS} ${T} -race $(PKG) 2>&1 | tee >($(JUNIT_REPORT) > $(JUNIT_OUT)) .PHONY: benchtest benchtest: $(JUNIT_REPORT) ## Runs all benchmarks prow/benchtest.sh run $(BENCH_TARGETS) prow/benchtest.sh compare report-benchtest:
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tensorflow/BUILD
# copybara:uncomment_begin(google-only) # "-Wl,--undefined-version", # copybara:uncomment_end(google-only) ], }), linkstatic = 1, per_os_targets = True, roots = [ "//tensorflow/c/experimental/filesystem:filesystem_interface", "//tensorflow/c/experimental/stream_executor:stream_executor", "//tensorflow/c:env",
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docs/logging/README.md
## Log Targets MinIO supports currently two target types - console - http ### Logging Console Target Console target is on always and cannot be disabled. ### Logging HTTP Target
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okhttp-dnsoverhttps/src/test/java/okhttp3/dnsoverhttps/TestDohMain.kt
workingOnly = false, getOnly = false, ) runBatch(dnsProviders, names) val dnsCache = Cache( directory = File("./target/TestDohMain.cache.${System.currentTimeMillis()}"), maxSize = 10L * 1024 * 1024, ) println("Bad targets\n***********\n") val url = "https://dns.cloudflare.com/.not-so-well-known/run-dmc-query".toHttpUrl() val badProviders = listOf(
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docs/metrics/prometheus/alerts.md
## Configure Prometheus to use AlertManager Add below section to your `prometheus.yml` ```yaml alerting: alertmanagers: - static_configs: - targets: ['localhost:9093'] rule_files: - rules.yml ``` Here `rules.yml` is the file which should contain the alerting rules defined. ## Add rules for your deployment
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architecture/runtimes.md
daemon --> worker3 ``` These are all Java processes. Each process has a corresponding "runtime". All source code in Gradle is written to target one or more of these runtimes. Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes. ## Composition by architecture modules
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README.md
- Admin UI: http://localhost:8080/admin/ (default username/password is admin/admin) ![Admin UI](https://fess.codelibs.org/_images/fess_admin_dashboard.png) You can register crawling targets in the Admin UI on the (Web, File, Data Store) crawler configuration pages, and then start the Crawler manually on the [Scheduler page](https://fess.codelibs.org/14.12/admin/scheduler-guide.html).
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ChangeLog.md
- [`KT-57135`](https://youtrack.jetbrains.com/issue/KT-57135) K2: Fir should take into account an annotation's allowed targets as well as the use-site target when deciding whether it applies to a property, a field, or a constructor parameter - [`KT-57069`](https://youtrack.jetbrains.com/issue/KT-57069) K2: Method kind in metadata is DECLARATION when DELEGATION is used in K1
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