long[] dataset = Longs.toArray(SIXTEEN_SQUARES_LONGS);
    assertThat(Quantiles.scale(10).index(1).compute(dataset))
        .isWithin(ALLOWED_ERROR)
        .of(SIXTEEN_SQUARES_DECILE_1);
    assertThat(dataset).asList().isEqualTo(SIXTEEN_SQUARES_LONGS);
  }

  public void testScale_index_compute_intVarargs() {
    int[] dataset = Ints.toArray(SIXTEEN_SQUARES_INTEGERS);

    long[] dataset = Longs.toArray(SIXTEEN_SQUARES_LONGS);
    assertThat(Quantiles.scale(10).index(1).compute(dataset))
        .isWithin(ALLOWED_ERROR)
        .of(SIXTEEN_SQUARES_DECILE_1);
    assertThat(dataset).asList().isEqualTo(SIXTEEN_SQUARES_LONGS);
  }

  public void testScale_index_compute_intVarargs() {
    int[] dataset = Ints.toArray(SIXTEEN_SQUARES_INTEGERS);

   *
   * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It
   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

*   `tf.data`

    *   `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`.

					<keyring>${gpg.keyring}</keyring>
					key>${gpg.key}</key>
					<passphrase>${gpg.passphrase}</passphrase>
					<signMethod>${deb.sign.method}</signMethod>
					-->
					<dataSet>
						<!-- Add app directory -->
						<data>
							<type>directory</type>
							<src>${project.build.directory}/fess</src>
							<excludes>**/fess_config.properties,**/fess_env*.properties,**/tika.xml</excludes>

    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.

    <acronym>DO</acronym>
    <tika:link>http://www.stata.com/help.cgi?do</tika:link>
    <glob pattern="*.do"/>
  </mime-type>

  <mime-type type="application/x-stata-dta">
    <_comment>Stata DTA Dataset</_comment>
    <acronym>DTA</acronym>
    <tika:link>http://www.stata.com/help.cgi?dta</tika:link>
	 <root-XML localName="stata_dta"/>
    <magic priority="50">

X14 TESTQ DX, DX JEQ dataBail CMPQ DX, $0x0d JE dataTLS CMPQ DX, $0x80 JB startSinglesLoop JMP dataOctaLoop dataTLS: MOVOU 224(DI), X12 MOVOU 240(DI), X13 PXOR X0, X0 MOVQ (SI), X0 PINSRD $0x02, 8(SI), X0 PINSRB $0x0c, 12(SI), X0 XORQ DX, DX JMP dataMul dataOctaLoop: CMPQ DX, $0x80 JB startSinglesLoop SUBQ $0x80, DX MOVOU (SI), X0 MOVOU 16(SI), X1 MOVOU 32(SI), X2 MOVOU 48(SI), X3 MOVOU 64(SI), X4 MOVOU 80(SI), X5 MOVOU 96(SI), X6 MOVOU 112(SI), X7 LEAQ 128(SI), SI PSHUFB X15, X0 PSHUFB X15, X1 PSHUFB...

X14 TESTQ DX, DX JEQ dataBail CMPQ DX, $0x0d JE dataTLS CMPQ DX, $0x80 JB startSinglesLoop JMP dataOctaLoop dataTLS: MOVOU 224(DI), X12 MOVOU 240(DI), X13 PXOR X0, X0 MOVQ (SI), X0 PINSRD $0x02, 8(SI), X0 PINSRB $0x0c, 12(SI), X0 XORQ DX, DX JMP dataMul dataOctaLoop: CMPQ DX, $0x80 JB startSinglesLoop SUBQ $0x80, DX MOVOU (SI), X0 MOVOU 16(SI), X1 MOVOU 32(SI), X2 MOVOU 48(SI), X3 MOVOU 64(SI), X4 MOVOU 80(SI), X5 MOVOU 96(SI), X6 MOVOU 112(SI), X7 LEAQ 128(SI), SI PSHUFB X15, X0 PSHUFB X15, X1 PSHUFB...