assertTrue(rule.isTarget(1, 30, 1)); // 1:30 on Sunday (actually Monday morning)
        assertTrue(rule.isTarget(2, 0, 1)); // 2:00 on Sunday (actually Monday morning)

        // Outside range
        assertFalse(rule.isTarget(21, 59, 1)); // 21:59 on Sunday
        assertFalse(rule.isTarget(2, 1, 1)); // 2:01 on Sunday (actually Monday morning)
    }

    public void test_intervalRule_isTarget_specificDays() {

   * #transform} methods all return {@link Double#NaN}. The {@link #inverse} method returns the same
   * instance.
   */
  public static LinearTransformation forNaN() {
    return NaNLinearTransformation.INSTANCE;
  }

  /** Returns whether this is a vertical transformation. */
  public abstract boolean isVertical();

   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
   * Double#NEGATIVE_INFINITY}, or {@link Double#NaN}) then the result is {@link
   * LinearTransformation#forNaN()}.
   *
   * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset have zero population variance
   */

   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
   * Double#NEGATIVE_INFINITY}, or {@link Double#NaN}) then the result is {@link
   * LinearTransformation#forNaN()}.
   *
   * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset must have zero population variance
   */

    assertThrows(IllegalArgumentException.class, () -> LinearTransformation.horizontal(Double.NaN));
  }

  public void testForNaN() {
    LinearTransformation transformation = LinearTransformation.forNaN();
    assertLinearTransformationNaN(transformation);
  }

    assertThrows(IllegalArgumentException.class, () -> LinearTransformation.horizontal(Double.NaN));
  }

  public void testForNaN() {
    LinearTransformation transformation = LinearTransformation.forNaN();
    assertLinearTransformationNaN(transformation);
  }

Since p = 1 mod 4, we can't use the exponentiation by (p + 1) / 4 like // for the other primes. Instead, implement a variation of Tonelli–Shanks. // The constant-time implementation is adapted from Thomas Pornin's ecGFp5. // // https://github.com/pornin/ecgfp5/blob/82325b965/rust/src/field.rs#L337-L385 // p = q*2^n + 1 with q odd -> q = 2^128 - 1 and n = 96 // g^(2^n) = 1 -> g = 11 ^ q (where 11 is the smallest non-square) // GG[j] = g^(2^j) for j = 0 to n-1 p224GGOnce.Do(func() { p224GG = new([...

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komatsu.ishikawa.jp
komatsushima.tokushima.jp
komforb.se
kommunalforbund.se
kommune.no
komono.mie.jp
komoro.nagano.jp
komvux.se
konan.aichi.jp
konan.shiga.jp
kongsberg.no
kongsvinger.no
konin.pl
konskowola.pl
konsulat.gov.pl
kontum.vn
konyvelo.hu
koobin.events
koori.fukushima.jp
kopervik.no
koriyama.fukushima.jp
koryo.nara.jp
kosai.shizuoka.jp
kosaka.akita.jp

Mateusz Chudyk, Matt Conley, mbhuiyan, mdfaijul, Mei Jie, Melissa Grueter,
merturl, MichaelKonobeev, Michael KäUfl, Michal W. Tarnowski, MickaëL
Schoentgen, Miguel Morin, Mihail Salnikov, Mikalai Drabovich, Mike Arpaia, Mike
Holcomb, minds, monklof, Moses Marin, mpppk, Mr. Metal, Mshr-H, musikisomorphie,
nammbash, Natalia Gimelshein, Nathan Luehr, Nayana-Ibm, Nayana Thorat, neargye,