pkg debug/elf, const R_LARCH_COPY R_LARCH #46229
pkg debug/elf, const R_LARCH_IRELATIVE = 12 #46229
pkg debug/elf, const R_LARCH_IRELATIVE R_LARCH #46229
pkg debug/elf, const R_LARCH_JUMP_SLOT = 5 #46229
pkg debug/elf, const R_LARCH_JUMP_SLOT R_LARCH #46229
pkg debug/elf, const R_LARCH_MARK_LA = 20 #46229
pkg debug/elf, const R_LARCH_MARK_LA R_LARCH #46229
pkg debug/elf, const R_LARCH_MARK_PCREL = 21 #46229

  }

  @Flaky
  @RetryingTest(5)
  fun missingClientAuthFailsForNeeds() {
    // Fails with 11.0.1 https://github.com/square/okhttp/issues/4598
    // StreamReset stream was reset: PROT...
    val client = buildClient(null, clientIntermediateCa.certificate)
    val socketFactory = buildServerSslSocketFactory()
    server.useHttps(socketFactory)
    server.requireClientAuth()

pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder

TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1
TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=240M

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

So, if your application consumes a lot of memory (for example with machine learning models), and your server has a lot of CPU cores **but little memory**, then your container could end up trying to use more memory than what is available, and degrading performance a lot (or even crashing). 🚨

### Create a `Dockerfile`

### Configuring connection (wait) deadline

This value works in conjunction with max connection setting, setting this value allows for long waiting requests to quickly time out when there is no slot available to perform the request.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

pkg debug/elf, const R_RISCV_HI20 = 26
pkg debug/elf, const R_RISCV_HI20 R_RISCV
pkg debug/elf, const R_RISCV_JAL = 17
pkg debug/elf, const R_RISCV_JAL R_RISCV
pkg debug/elf, const R_RISCV_JUMP_SLOT = 5
pkg debug/elf, const R_RISCV_JUMP_SLOT R_RISCV
pkg debug/elf, const R_RISCV_LO12_I = 27
pkg debug/elf, const R_RISCV_LO12_I R_RISCV
pkg debug/elf, const R_RISCV_LO12_S = 28
pkg debug/elf, const R_RISCV_LO12_S R_RISCV

         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <!-- Shared parent. Doesn't define a lot of things about Apache like general mailing lists, but does
       define the settings common to all projects at Apache -->
  <groupId>org.apache</groupId>
  <artifactId>apache</artifactId>
  <version>1</version>