cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:

                    try {
                        if (node.filterTrail(filter)) {
                            // If it was optional and not a direct dependency,
                            // we don't add it or its children, just allow the update of the version and artifactScope
                            if (node.isChildOfRootNode() || !artifact.isOptional()) {
                                artifact.setDependencyTrail(node.getDependencyTrail());

Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.
Typically, enabling compression on spinning disk systems
will increase speed when the content can be compressed.

def test_api(client: TestClient):
    response = client.get("/users/john")
    assert response.status_code == 200, response.text

    }

    @Test
    @DisplayName("release() below zero usage throws RuntimeCIFSException")
    void release_withoutAcquire_throwsRuntimeCIFSException() {
        // Arrange
        CIFSContext ctx = mock(CIFSContext.class);
        SmbTreeConnectionTrace trace = new SmbTreeConnectionTrace(ctx);

        // Act & Assert: calling release without prior acquire drops usage below zero

import subprocess
import time

import httpx
from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    browser = playwright.chromium.launch(headless=False)

				if toAPIError(ctx, err).Code == "NoSuchKey" {
					s3Error = ErrNoSuchKey
				}
			}
		}
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(s3Error), r.URL)
		return
	}

	// We do not allow offsetting into extracted files.
	if opts.PartNumber != 0 {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrInvalidPartNumber), r.URL)
		return
	}

	if r.Header.Get(xhttp.Range) != "" {

        @Test
        @DisplayName("All fragment flags should have unique values")
        void testFragmentFlagsUniqueness() {
            // Verify that fragment flags are unique and follow bit pattern
            assertEquals(1, Integer.bitCount(DcerpcConstants.DCERPC_FIRST_FRAG), "DCERPC_FIRST_FRAG should be a single bit");

  *** getStackTraceDepth(...);
}

# FinalizableReferenceQueue calls this reflectively
# Proguard is intelligent enough to spot the use of reflection onto this, so we
# only need to keep the names, and allow it to be stripped out if
# FinalizableReferenceQueue is unused.
-keepnames class com.google.common.base.internal.Finalizer {
  *** startFinalizer(...);
}

def test_api(client: TestClient):
    response = client.get("/users/john")
    assert response.status_code == 200, response.text