*TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

      fail("Expected IllegalArgumentException");
    } catch (IllegalArgumentException expected) {
    }

    try {
      multiset.add(entry.getElement());
      fail("Expected IllegalArgumentException");
    } catch (IllegalArgumentException expected) {
    }

    try {
      multiset.addAll(singletonList(entry.getElement()));
      fail("Expected IllegalArgumentException");

      for (int q : NONZERO_INTEGER_CANDIDATES) {
        for (RoundingMode mode : ALL_SAFE_ROUNDING_MODES) {
          // Skip some tests that fail due to GWT's non-compliant int implementation.
          // TODO(cpovirk): does this test fail for only some rounding modes or for all?
          if (p == -2147483648 && q == -1 && intsCanGoOutOfRange()) {
            continue;
          }
          int expected =

      range.lowerEndpoint();
      fail();
    } catch (IllegalStateException expected) {
    }
    try {
      range.lowerBoundType();
      fail();
    } catch (IllegalStateException expected) {
    }
  }

  private static void assertUnboundedAbove(Range<Integer> range) {
    assertFalse(range.hasUpperBound());
    try {
      range.upperEndpoint();
      fail();

    try {
      entrySet.add((Entry<K, V>) entryToAdd);
      fail("Expected UnsupportedOperationException or NullPointerException.");
    } catch (UnsupportedOperationException | NullPointerException e) {
      // Expected.
    }
    assertInvariants(map);

    try {
      entrySet.addAll(singleton((Entry<K, V>) entryToAdd));
      fail("Expected UnsupportedOperationException or NullPointerException.");

   * in practice. To simplify the implementation, we've avoided implementing the flexible rules in
   * favor of supporting what's actually used in practice. That means if these assertions ever fail,
   * the implementation will need to be revisited to support a more flexible rule.
   */
  private fun assertWildcardRule(rule: String) {
    check(rule.startsWith(WILDCARD_CHAR)) {

   *
   * <p>Note: This means that a test like the following will fail if {@code collection} is a {@code
   * Set}:
   *
   * <pre>
   * collection.add(existingElement);
   * expectAdded(existingElement);</pre>
   *
   * <p>In this case, {@code collection} was not modified as a result of the {@code add()} call, and
   * the test will fail because the number of occurrences of {@code existingElement} is unchanged.
   *

      return SimpleDateFormat("EEE, dd MMM yyyy HH:mm:ss 'GMT'", Locale.US).apply {
        isLenient = false
        timeZone = UTC
      }
    }
  }

/** If we fail to parse a date in a non-standard format, try each of these formats in sequence. */
private val BROWSER_COMPATIBLE_DATE_FORMAT_STRINGS =
  arrayOf(
    // HTTP formats required by RFC2616 but with any timezone:

      - name: Run native-image tests
        run: ./gradlew -PgraalBuild=true native-image-tests:nativeTest

  testandroid:
    runs-on: ubuntu-latest
    timeout-minutes: 30

    strategy:
      fail-fast: false
      matrix:
        api-level:
          - 21
          - 29
          - 34

    steps:
      - name: Checkout
        uses: actions/checkout@v5

      - name: Configure JDK

import static org.junit.jupiter.api.Assertions.assertNull;
import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;

import java.util.Arrays;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeUnit;

import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;

/**