Yuri Schimke <******@****.***> 1734771389 +0200

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name

        implementation(libs.junit.jupiter.engine)
        implementation(libs.junit.jupiter.params)
        implementation(libs.junit.vintage.engine)
        implementation(libs.junit)
        implementation(libs.kotlin.test.annotations)
        implementation(libs.kotlin.test.common)
        implementation(libs.kotlin.test.junit)
        implementation(libs.kotlinx.coroutines.core)

    OPS_5("+-*/%"),
    HEX_16(CharMatcher.inRange('0', '9').or(CharMatcher.inRange('A', 'F')), "0123456789ABCDEF"),
    HEX_22(
        CharMatcher.inRange('0', '9')
            .or(CharMatcher.inRange('A', 'F'))
            .or(CharMatcher.inRange('a', 'f')),
        "0123456789ABCDEFabcdef"),
    GERMAN_59(
        CharMatcher.inRange('a', 'z')
            .or(CharMatcher.inRange('A', 'Z'))
            .or(CharMatcher.anyOf("äöüßÄÖÜ")),

junit-platform-launcher = { module = "org.junit.platform:junit-platform-launcher", version.ref = "junit-platform" }
junit-vintage-engine = { module = "org.junit.vintage:junit-vintage-engine", version.ref = "org-junit-jupiter" }
junit-pioneer = { module = "org.junit-pioneer:junit-pioneer", version.ref = "junit-pioneer" }

            return true;
        }

        return switch (mimeType) {
        case "image/png", "image/gif", "image/jpeg", "image/bmp" -> true;
        default -> false;
        };
    }

    /**
     * Processes and saves an image from the input stream to the output file as a thumbnail.
     *
     * <p>This method reads image data, validates dimensions, applies subsampling and scaling

    assertToStringWorks(
        CharMatcher.inRange('a', 'z')
            .or(CharMatcher.inRange('A', 'Z'))
            .or(CharMatcher.inRange('0', '9'))
            .or(CharMatcher.is('_')),
        "CharMatcher.inRange('\\u0061', '\\u007A')"
            + ".or(CharMatcher.inRange('\\u0041', '\\u005A'))"
            + ".or(CharMatcher.inRange('\\u0030', '\\u0039'))"
            + ".or(CharMatcher.is('\\u005F'))");

		}
	}

	name := make([]byte, 0, 10)

	for _, v := range []byte(expr.SQL) {
		if v == '@' && !inName {
			inName = true
			name = name[:0]
		} else if v == ' ' || v == ',' || v == ')' || v == '"' || v == '\'' || v == '`' || v == '\r' || v == '\n' || v == ';' {
			if inName {
				if nv, ok := namedMap[string(name)]; ok {
					if afterParenthesis {
						processValue(builder, nv)
					} else {

app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"


@app.get("/image/stream", response_class=PNGStreamingResponse)
async def stream_image() -> AsyncIterable[bytes]:
    with read_image() as image_file:
        for chunk in image_file:
            yield chunk


@app.get("/image/stream-no-async", response_class=PNGStreamingResponse)
def stream_image_no_async() -> Iterable[bytes]:

        assertTrue("application/pdf".matches("application/pdf"));
        assertTrue("image/jpeg".matches("image/jpeg"));
        assertTrue("image/png".matches("image/png"));
        assertTrue("image/gif".matches("image/gif"));
        assertTrue("image/tiff".matches("image/tiff"));
    }

    @Test
    public void test_addConditionWithSvgMimetype() {