#ifndef TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_LIB_H_
#define TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_LIB_H_

#include <memory>
#include <optional>
#include <string>
#include <utility>
#include <vector>

#include "absl/status/status.h"
#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "absl/types/variant.h"
#include "tensorflow/c/c_api.h"

Mercury for the resolution and retrieval of the plugin dependencies so during development we would translate the POMs into dependency information that Mercury can understand, and in production we would have the pre-digested format that Mercury could utilize to resolve and retrieve dependencies. We need to be careful that we are using Mercury during development and production so that we don’t get in the situation where Maven 2.x is resolving differently than Mercury is. We can still leverage POMs during...

         * Class argument that this test uses. Normally we'd fix that by declaring a
         * ReflectionFreeAssertThrowsTest with a testNulls method, but that's annoying to have to do
         * for a package-private utility class. So we skip the class entirely instead.
         */
        continue;
      }
      try {
        tester.doTestNulls(classToTest, visibility);
      } catch (Throwable e) {

import com.google.common.annotations.GwtCompatible;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.math.BigInteger;
import java.util.Arrays;
import java.util.Comparator;

/**
 * Static utility methods pertaining to {@code long} primitives that interpret values as
 * <i>unsigned</i> (that is, any negative value {@code x} is treated as the positive value {@code

///

## Resource Utilization

Your server(s) is (are) a **resource**, you can consume or **utilize**, with your programs, the computation time on the CPUs, and the RAM memory available.

import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.RandomAccess;
import javax.annotation.CheckForNull;

/**
 * Static utility methods pertaining to {@code boolean} primitives, that are not already found in
 * either {@link Boolean} or {@link Arrays}.
 *
 * <p>See the Guava User Guide article on <a

import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.RandomAccess;
import javax.annotation.CheckForNull;

/**
 * Static utility methods pertaining to {@code boolean} primitives, that are not already found in
 * either {@link Boolean} or {@link Arrays}.
 *
 * <p>See the Guava User Guide article on <a

limitations under the License.
==============================================================================*/

#include "tensorflow/c/eager/parallel_device/parallel_device_lib.h"

#include <string>
#include <utility>

#include "absl/memory/memory.h"
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/c_api.h"

That means that any value read in Python from an environment variable will be a `str`, and any conversion to a different type or any validation has to be done in code.

## Pydantic `Settings`

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

import com.google.common.annotations.GwtCompatible;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.Arrays;
import java.util.Comparator;

/**
 * Static utility methods pertaining to {@code int} primitives that interpret values as
 * <i>unsigned</i> (that is, any negative value {@code x} is treated as the positive value {@code