boolean hasLowerBound() {
    return hasLowerBound;
  }

  boolean hasUpperBound() {
    return hasUpperBound;
  }

  boolean isEmpty() {
    // The casts are safe because of the has*Bound() checks.
    return (hasUpperBound() && tooLow(uncheckedCastNullableTToT(getUpperEndpoint())))
        || (hasLowerBound() && tooHigh(uncheckedCastNullableTToT(getLowerEndpoint())));
  }

            sb.append(String.format("%02X", contextHandle[i] & 0xFF));
        }
        sb.append("-").append(shareName.hashCode());

        return sb.toString();
    }

    /**
     * Checks if the client is connected to the witness service.
     *
     * @return true if connected
     */
    public boolean isConnected() {
        return connected && rpcHandle != null;
    }

    @Override

  }

  ~ShapeInferenceTest() override {
    TFE_DeleteContextOptions(tfe_context_options_);
    TFE_DeleteContext(tfe_context_);
    TF_DeleteStatus(status_);
  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,

     * implement Function<A, B>, as discussed in a class-level comment), it would make some sense to
     * perform runtime null checks on the input and output. (That would also make NullPointerTester
     * happy!) However, since we didn't do that for many years, we're not about to start now.
     * (Runtime checks could be particularly bad for users of LegacyConverter.)
     *

      accum /= i + 1;
    }
    return accum;
  }

  @GwtIncompatible // java.math.BigInteger
  public void testIsPowerOfTwo() {
    for (long x : ALL_LONG_CANDIDATES) {
      // Checks for a single bit set.
      BigInteger bigX = BigInteger.valueOf(x);
      boolean expected = (bigX.signum() > 0) && (bigX.bitCount() == 1);
      assertEquals(expected, LongMath.isPowerOfTwo(x));
    }
  }

    }

    assertThat(verifier.verify("foo.com", session)).isFalse()
    assertThat(verifier.verify("a.foo.com", session)).isFalse()
    // these checks test alternative subjects. The test data contains an
    // alternative subject starting with a japanese kanji character. This is
    // not supported by Android because the underlying implementation from

    return member.isSynthetic()
        || ignoredMembers.contains(member)
        || isEquals(member)
        /*
         * We can assume that Kotlin code is performing the null checks that we want, since kotlinc
         * inserts checks automatically for non-private functions (which are the only kind that we
         * check).
         *
         * We *would* just check such functions redundantly, but kotlinc emits its nullness

    //                                                                             Helpers
    //                                                                           =========

    /**
     * Checks if login is required for the current request based on configuration
     * and user authentication status.
     *
     * @return true if login is required, false otherwise
     */

        return of(element);
      default:
        return new RegularImmutableList<E>(ImmutableList.<E>nullCheckedList(elements));
    }
  }

  // Factory method that skips the null checks.  Used only when the elements
  // are guaranteed to be non-null.
  static <E> ImmutableList<E> unsafeDelegateList(List<? extends E> list) {
    switch (list.size()) {
      case 0:
        return of();

    * If you know Python types you know how to use Pydantic.
* Plays nicely with your **<abbr title="Integrated Development Environment: similar to a code editor">IDE</abbr>/<dfn title="A program that checks for code errors">linter</dfn>/brain**:
    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.