from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.

    /*
     * For example, if concentration=2.0, the following takes the square root of
     * the uniformly-distributed random integer, then truncates any fractional
     * part, so higher integers would appear (in this case linearly) more often
     * than lower ones.
     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();

    """raw_data is sent as-is, not JSON-encoded."""
    response = client.get("/items/stream-raw")
    assert response.status_code == 200
    text = response.text

    # raw_data should appear without JSON quotes
    assert "data: plain text without quotes\n" in text
    # Not JSON-quoted
    assert 'data: "plain text without quotes"' not in text

    assert "event: html\n" in text

 * multiple instances of an element, those instances are consecutive in the iteration order. If all
 * occurrences of an element are removed, after which that element is added to the multiset, the
 * element will appear at the end of the iteration.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/NewCollectionTypesExplained#multiset">{@code Multiset}</a>.
 *
 * @author Kevin Bourrillion

  // throw an exception.
  private void setupFlushable(boolean shouldThrowOnFlush) throws IOException {
    mockFlushable = mock(Flushable.class);
    if (shouldThrowOnFlush) {
      doThrow(new IOException("This should only appear in the logs. It should not be rethrown."))
          .when(mockFlushable)
          .flush();
    }
  }

  // Flush the flushable using the Flushables, passing in the swallowException

          <defaultValue></defaultValue>
          <identifier>true</identifier>
        </field>
        <field>
          <name>extension</name>
          <version>1.1.0+</version>
          <type>String</type>
          <description>The file extension of the sub-artifact. Each classifier and extension pair may only appear once.</description>

  // throw an exception.
  private void setupFlushable(boolean shouldThrowOnFlush) throws IOException {
    mockFlushable = mock(Flushable.class);
    if (shouldThrowOnFlush) {
      doThrow(new IOException("This should only appear in the logs. It should not be rethrown."))
          .when(mockFlushable)
          .flush();
    }
  }

  // Flush the flushable using the Flushables, passing in the swallowException

        assertNotNull(extraFieldNames);
        assertTrue(extraFieldNames.contains("custom_tags"), "Config-defined array field should appear even without doc data");
        assertTrue(extraFieldNames.contains("custom_publish_date"), "Config-defined date field should appear even without doc data");

        @SuppressWarnings("unchecked")

You can define those cases using a list in the type declaration.

You will receive all the values from the duplicate header as a Python `list`.

For example, to declare a header of `X-Token` that can appear more than once, you can write:

{* ../../docs_src/header_params/tutorial003_an_py310.py hl[9] *}

If you communicate with that *path operation* sending two HTTP headers like:

```
X-Token: foo
X-Token: bar
```

      if (placeholderStart == -1) {
        break;
      }
      builder.append(template, templateStart, placeholderStart);
      builder.append(lenientToString(args[i++]));
      templateStart = placeholderStart + 2;
    }
    builder.append(template, templateStart, template.length());

    // if we run out of placeholders, append the extra args in square brackets
    if (i < args.length) {
      String prefix = " [";