}

  public void testKnownStringInputs() {
    assertHash(0, murmur3_32().hashUnencodedChars(""));
    assertHash(679745764, murmur3_32().hashUnencodedChars("k"));
    assertHash(1510782915, murmur3_32().hashUnencodedChars("hell"));
    assertHash(-675079799, murmur3_32().hashUnencodedChars("hello"));
    assertHash(1935035788, murmur3_32().hashUnencodedChars("http://www.google.com/"));
    assertHash(

          pip install -r requirements-tests.txt
      - name: Run source distribution tests
        run: |
          cd dist/fastapi*/
          bash scripts/test.sh
      - name: Build wheel distribution
        run: |
          cd dist
          pip wheel --no-deps fastapi*.tar.gz
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}

    assertChecksum(ADLER_32, "");
    assertChecksum(ADLER_32, "Z");
    assertChecksum(ADLER_32, "foobar");
  }

  public void testCrc32_knownValues() throws Exception {
    assertHash32(0x1C8600E3, CRC_32, "hell");
    assertHash32(0x3610A686, CRC_32, "hello");
    assertHash32(0xED81F9F6, CRC_32, "hello ");
    assertHash32(0x4850DDC2, CRC_32, "hello w");
    assertHash32(0x7A2D6005, CRC_32, "hello wo");

whereas in MinIO erasure code you can lose as many as half of drives and still the data remains safe. Further, MinIO's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server. MinIO's erasure coded backend is...

# JAX requirements, passed into container by defining the ARG 
# REQUIREMENTS_FILE=jax.requirements.txt


setuptools
wheel
cloudpickle
colorama>=0.4.4
matplotlib
pillow>=9.1.0
rich
absl-py
portpicker
six
opt-einsum
auditwheel
typing_extensions
importlib_metadata>=4.6
numpy==1.26.0;python_version=="3.12"
numpy==1.23.4;python_version=="3.11"
numpy==1.22.4;python_version<"3.11"
scipy==1.11.2;python_version=="3.12"

	EnvCycle         = "MINIO_SCANNER_CYCLE"
	EnvDelayLegacy   = "MINIO_CRAWLER_DELAY"
	EnvMaxWait       = "MINIO_SCANNER_MAX_WAIT"
	EnvMaxWaitLegacy = "MINIO_CRAWLER_MAX_WAIT"
)

// Config represents the heal settings.
type Config struct {
	// Delay is the sleep multiplier.
	Delay float64 `json:"delay"`

	// Sleep always or based on incoming S3 requests.
	IdleMode int32 // 0 => on, 1 => off

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set -euxo pipefail

# Run this from inside the tensorflow github directory.
# Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file"
# Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl"
# 
# This will create a venv with that wheel file installed in it, and a symlink
# in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the
# "pip" tests.

python -m venv /$1
mkdir -p $1

source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux --config=tpu"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_tpu
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu"
TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

	for {
		select {
		case <-GlobalContext.Done():
			return
		case u, ok := <-m.opCh:
			if !ok {
				return
			}

			// We might land at .metacache, .trash, .multipart
			// no need to heal them skip, only when bucket
			// is '.minio.sys'
			if u.bucket == minioMetaBucket {
				// No MRF needed for temporary objects
				if wildcard.Match("buckets/*/.metacache/*", u.object) {
					continue
				}