}
        bitsChanged |= bits.set(combinedHash % bitSize);
      }
      return bitsChanged;
    }

    @Override
    public <T extends @Nullable Object> boolean mightContain(
        @ParametricNullness T object,
        Funnel<? super T> funnel,
        int numHashFunctions,
        LockFreeBitArray bits) {
      long bitSize = bits.bitSize();

   * @since 22.0
   */
  public long approximateElementCount() {
    long bitSize = bits.bitSize();
    long bitCount = bits.bitCount();

    /**
     * Each insertion is expected to reduce the # of clear bits by a factor of
     * `numHashFunctions/bitSize`. So, after n insertions, expected bitCount is `bitSize * (1 - (1 -
     * numHashFunctions/bitSize)^n)`. Solving that for n, and approximating `ln x` as `x - 1` when x

    numBits++;

    LockFreeBitArray bitArray = new LockFreeBitArray(numBits);
    assertTrue(
        "BitArray.bitSize() must return a positive number, but was " + bitArray.bitSize(),
        bitArray.bitSize() > 0);

    // Ideally we would also test the bitSize() overflow of this BF, but it runs out of heap space
    // BloomFilter.create(Funnels.unencodedCharsFunnel(), 244412641, 1e-11);
  }

  /**

		// directly between worlds, but we need to moderate those.
		t.Go = c.uintptr
		t.Align = c.ptrSize

	case *dwarf.IntType:
		if dt.BitSize > 0 {
			fatalf("%s: unexpected: %d-bit int type - %s", lineno(pos), dt.BitSize, dtype)
		}

		if t.Align = t.Size; t.Align >= c.ptrSize {
			t.Align = c.ptrSize
		}

		switch t.Size {
		default:

        "tslint:recommended"
    ],
    "rules": {
        "max-line-length": {
            "options": [160]
        },
        "arrow-parens": false,
        "new-parens": true,
        "no-arg": true,
        "no-bitwise": true,
        "no-conditional-assignment": true,
        "no-consecutive-blank-lines": true,
        "no-console": {
            "severity": "warning",

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

if not hasattr(_current_module, "__path__"):

 * variables.
 *
 * <p><a id="bitEquals"></a>This class compares primitive {@code double} values in methods such as
 * {@link #compareAndSet} by comparing their bitwise representation using {@link
 * Double#doubleToRawLongBits}, which differs from both the primitive double {@code ==} operator and
 * from {@link Double#equals}, as if implemented by:
 *
 * <pre>{@code

    /**
     * Open the Named Pipe resource specified by the url
     * parameter. The pipeType parameter should be at least one of
     * the <code>PIPE_TYPE</code> flags combined with the bitwise OR
     * operator <code>|</code>. See the examples listed above.
     * 
     * @param url
     * @param pipeType
     * @param unshared
     *            whether to use an exclusive connection for this pipe

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable
_current_module = _sys.modules[__name__]
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))

👆 💪 📣 👈 🔢 💪 🙆 **📚 🆎**, 🖼, `int` ⚖️ `str`.

🐍 3️⃣.6️⃣ & 🔛 (✅ 🐍 3️⃣.1️⃣0️⃣) 👆 💪 ⚙️ `Union` 🆎 ⚪️➡️ `typing` & 🚮 🔘 ⬜ 🗜 💪 🆎 🚫.

🐍 3️⃣.1️⃣0️⃣ 📤 **🎛 ❕** 🌐❔ 👆 💪 🚮 💪 🆎 👽 <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>⏸ ⏸ (`|`)</abbr>.

//// tab | 🐍 3️⃣.6️⃣ &amp; 🔛

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial008b.py!}
```

////