@org_tensorflow//tensorflow
@com_google_absl//
@pybind11_abseil//pybind11_abseil
//external
@local
@com_github_googlecloudplatform_google_cloud_cpp//
@embedded_jdk//
^//$
@ruy//
EOF

  license_query "attr('licenses', 'notice', deps($BUILD_TARGET))" > $BATS_TEST_TMPDIR/expected_licenses
  license_query "deps($LICENSES_TARGET)" > $BATS_TEST_TMPDIR/actual_licenses

 * responsibility to detect and split on commas if their field permits multiple values. This
 * simplifies use of single-valued fields whose values routinely contain commas, such as cookies or
 * dates.
 *
 * This class trims whitespace from values. It never returns values with leading or trailing
 * whitespace.
 *
 * Instances of this class are immutable. Use [Builder] to create instances.
 */

### **4.1 Spark Pi**

Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

      // delete tempDir and its contents
      Files.walkFileTree(
          tempDir,
          new SimpleFileVisitor<Path>() {
            @Override
            public FileVisitResult visitFile(Path file, BasicFileAttributes attrs)
                throws IOException {
              Files.deleteIfExists(file);
              return FileVisitResult.CONTINUE;
            }

            @Override

	Context              context.Context
	RaiseErrorOnNotFound bool
	SkipHooks            bool
	SQL                  strings.Builder
	Vars                 []interface{}
	CurDestIndex         int
	attrs                []interface{}
	assigns              []interface{}
	scopes               []func(*DB) *DB
}

type join struct {
	Name     string
	Conds    []interface{}
	On       *clause.Where
	Selects  []string

  }

  void SetViaProto(TF_OperationDescription* desc,
                   const std::vector<string>& list) {
    tensorflow::AttrValue attr;
    for (const string& v : list) {
      attr.mutable_list()->add_s(v);
    }
    string bytes;
    attr.SerializeToString(&bytes);
    TF_SetAttrValueProto(desc, tensorflow::kColocationAttrName, bytes.data(),
                         bytes.size(), s_);

|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nfunction allowedAttribute(attr, allowedAttributeList) {\n  const attrName = attr.nodeName.toLowerCase()\n\n  if (allowedAttributeList.indexOf(attrName) !== -1) {\n    if (uriAttrs.indexOf(attrName) !== -1) {\n      return Boolean(SAFE_URL_PATTERN.test(attr.nodeValue) || DATA_URL_PATTERN.test(attr.nodeValue))\n    }\n\n    return true\n  }\n\n  const regExp = allowedAttributeList.filter(attrRegex => attrRegex instanceof...

|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[a-z0-9+/]+=*$/i\n\nfunction allowedAttribute(attr, allowedAttributeList) {\n  const attrName = attr.nodeName.toLowerCase()\n\n  if (allowedAttributeList.indexOf(attrName) !== -1) {\n    if (uriAttrs.indexOf(attrName) !== -1) {\n      return Boolean(attr.nodeValue.match(SAFE_URL_PATTERN) || attr.nodeValue.match(DATA_URL_PATTERN))\n    }\n\n    return true\n  }\n\n  const regExp = allowedAttributeList.filter((attrRegex)...

    assertThat(decoded).isEqualTo(date("2050-01-01T00:00:00.000+0000").time)
    assertThat(encoded).isEqualTo(generalizedTimeDer)
  }

  /**
   * Conforming applications MUST be able to process validity dates that are encoded in either
   * UTCTime or GeneralizedTime.
   */
  @Test fun `can read GENERALIZED_TIME before 2050`() {
    val generalizedTimeDer = "180f32303439313233313233353935395a".decodeHex()

    sink.writeUtf8(content)
    sink.close()
  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   * positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String {
    return formatDate(Date(System.currentTimeMillis() + timeUnit.toMillis(delta)))