Closer:        r,
	}
}

// ObjectSegmentReaderFn is a function that returns a reader for a contiguous
// suffix segment of an object starting at the given (non-negative) offset.
type ObjectSegmentReaderFn func(offset int64) (io.ReadCloser, error)

// ObjectReadSeekCloser implements ReadSeekCloser interface for reading objects.
// It uses a function that returns a io.ReadCloser for the object.
type ObjectReadSeekCloser struct {

    for details.

#### Running doctest for testable docstring

There are two ways to test the code in the docstring locally:

1.  If you are only changing the docstring of a class/function/method, then you
    can test it by passing that file's path to
    [tf_doctest.py](https://www.tensorflow.org/code/tensorflow/tools/docs/tf_doctest.py).
    For example:

    ```bash

import java.util.Collections;
import java.util.Comparator;
import java.util.Iterator;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.Spliterator;
import java.util.function.Consumer;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * An immutable sorted set with one or more elements. TODO(jlevy): Consider separate class for a

        for (int i = 0; i < count; i++) {
            sb.append(' ');
        }
    }
    /**
     * Return a string represeting this ACE.
     * <p>
     * Note: This function should probably be changed to return SDDL
     * fragments but currently it does not.
     */
    public String toString() {
        int count, i;
        String str;

    steps:
    - name: Checkout code
      uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
    - name: Update the RBE Configs
      run: |
        function map() {
          # The "digest" that allows us to pull an image is not the digest as
          # returned by the API, but a sha256sum of the entire chunk of image

}

// negate negates a numeric value
func (v *Value) negate() {
	switch x := v.value.(type) {
	case float64:
		v.value = -x
	case int64:
		v.value = -x
	}
}

// Value comparison functions: we do not expose them outside the
// module. Logical operators "<", ">", ">=", "<=" work on strings and
// numbers. Equality operators "=", "!=" work on strings,
// numbers and booleans.

// information - e.g. the SSE-C key - from the metadata map.
// It has the same semantics as RemoveSensitiveHeaders.
func RemoveSensitiveEntries(metadata map[string]string) { // The functions is tested in TestRemoveSensitiveHeaders for compatibility reasons
	delete(metadata, xhttp.AmzServerSideEncryptionCustomerKey)
	delete(metadata, xhttp.AmzServerSideEncryptionCopyCustomerKey)

	                     <Name>suffix</Name>
	                     <Value>.jpg</Value>
	                 </FilterRule>
	             </S3Key>
	      </Filter>
	      <Cloudcode>arn:aws:lambda:us-west-2:444455556666:cloud-function-A</Cloudcode>
	      <Event>s3:ObjectCreated:Put</Event>
	   </CloudFunctionConfiguration>
	   <TopicConfiguration>
	      <Topic>arn:aws:sns:us-west-2:444455556666:sns-notification-one</Topic>

      "    }",
      &def));
  return def.SerializeAsString();
}

// a + a
string AddFunction() {
  tensorflow::FunctionDef def;
  CHECK(tensorflow::protobuf::TextFormat::ParseFromString(
      "    signature {"
      "      name: 'AddFunction'"
      "      input_arg {"
      "        name: 'a'"
      "        type: DT_FLOAT"
      "      }"

It is designed to have functions that receive two parameters, one "request" and one "response". Then you "read" parts from the request, and "write" parts to the response. Because of this design, it is not possible to declare request parameters and bodies with standard Python type hints as function parameters.