checkTryParse(Double.POSITIVE_INFINITY, "Infinity");
    checkTryParse(Double.POSITIVE_INFINITY, "+Infinity");
    checkTryParse(Double.NEGATIVE_INFINITY, "-Infinity");
  }

  private static final String[] BAD_TRY_PARSE_INPUTS = {
    "",
    "+-",
    "+-0",
    " 5",
    "32 ",
    " 55 ",
    "infinity",
    "POSITIVE_INFINITY",
    "0x9A",
    "0x9A.bE-5",
    ".",

  public void testTryParseInfinity() {
    checkTryParse(Float.POSITIVE_INFINITY, "Infinity");
    checkTryParse(Float.POSITIVE_INFINITY, "+Infinity");
    checkTryParse(Float.NEGATIVE_INFINITY, "-Infinity");
  }

  private static final String[] BAD_TRY_PARSE_INPUTS = {
    "",
    "+-",
    "+-0",
    " 5",
    "32 ",
    " 55 ",
    "infinity",
    "POSITIVE_INFINITY",
    "0x9A",
    "0x9A.bE-5",
    ".",

* Tolerate missing watch permission when deleting a resource ([#65370](https://github.com/kubernetes/kubernetes/pull/65370), [@deads2k](https://github.com/deads2k))
* prevents infinite CLI wait on delete when item is recreated ([#66136](https://github.com/kubernetes/kubernetes/pull/66136), [@deads2k](https://github.com/deads2k))

  static long getSignificand(double d) {
    checkArgument(isFinite(d), "not a normal value");
    int exponent = getExponent(d);
    long bits = doubleToRawLongBits(d);
    bits &= SIGNIFICAND_MASK;
    return (exponent == MIN_EXPONENT - 1) ? bits << 1 : bits | IMPLICIT_BIT;
  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

* change default azure file mount permission to 0777 ([#69854](https://github.com/kubernetes/kubernetes/pull/69854), [@andyzhangx](https://github.com/andyzhangx))
* Fix a bug in the scheduler that could cause the scheduler to go to an infinite loop when all nodes in a zone are removed. ([#69758](https://github.com/kubernetes/kubernetes/pull/69758), [@bsalamat](https://github.com/bsalamat))

        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.

<p>
For the conversion of non-constant numeric values, the following rules apply:
</p>

<ol>
<li>
When converting between integer types, if the value is a signed integer, it is
sign extended to implicit infinite precision; otherwise it is zero extended.
It is then truncated to fit in the result type's size.
For example, if <code>v := uint16(0x10F0)</code>, then <code>uint32(int8(v)) == 0xFFFFFFF0</code>.

For floating-point arguments negative zero, NaN, and infinity the following rules apply:
</p>

<pre>
   x        y    min(x, y)    max(x, y)

  -0.0    0.0         -0.0          0.0    // negative zero is smaller than (non-negative) zero
  -Inf      y         -Inf            y    // negative infinity is smaller than any other number
  +Inf      y            y         +Inf    // positive infinity is larger than any other number

import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.FRACTIONAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.INFINITIES;
import static com.google.common.math.MathTesting.INTEGRAL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.NEGATIVE_INTEGER_CANDIDATES;

   * necessarily implemented as, {@code !(Double.isInfinite(value) || Double.isNaN(value))}.
   *
   * <p><b>Java 8+ users:</b> use {@link Double#isFinite(double)} instead.
   *
   * @since 10.0
   */
  public static boolean isFinite(double value) {
    return NEGATIVE_INFINITY < value && value < POSITIVE_INFINITY;
  }

  /**