}

  TF_Tensor* FloatTensor2x2(const float* values) {
    const int64_t dims[2] = {2, 2};
    TF_Tensor* t = TF_AllocateTensor(TF_FLOAT, dims, 2, sizeof(float) * 4);
    memcpy(TF_TensorData(t), values, sizeof(float) * 4);
    return t;
  }

  TF_Operation* FloatConst2x2(TF_Graph* graph, TF_Status* s,
                              const float* values, const char* name) {

import java.util.logging.Logger;

/**
 * ContentCache is a class that provides a way to cache content either in memory or in a file.
 * It implements the Closeable interface to ensure that resources are properly released.
 *
 * <p>This class supports two types of content caching:
 * <ul>
 *   <li>In-memory caching using a byte array</li>
 *   <li>File-based caching using a File object</li>
 * </ul>
 *

   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableLongArray} that is built will very likely occupy more memory than strictly necessary;
   * to trim memory usage, build using {@code builder.build().trimmed()}.
   */
  public static Builder builder(int initialCapacity) {
    checkArgument(initialCapacity >= 0, "Invalid initialCapacity: %s", initialCapacity);

   * value slightly too high than slightly too low. If the value is not exact, the {@link
   * ImmutableIntArray} that is built will very likely occupy more memory than strictly necessary;
   * to trim memory usage, build using {@code builder.build().trimmed()}.
   */
  public static Builder builder(int initialCapacity) {
    checkArgument(initialCapacity >= 0, "Invalid initialCapacity: %s", initialCapacity);

        cos.close();
        assertTrue(file.exists());
    }

    @Test
    public void testThresholdOne() throws IOException {
        // With threshold 1, writing 1 byte should stay in memory
        ContentOutputStream cos = new ContentOutputStream(1, Curl.tmpDir);
        cos.write(new byte[] { 1 });
        assertTrue(cos.isInMemory());
        assertFalse(cos.done);
        cos.close();
    }

 * This class provides methods to store, retrieve, update, and delete access results,
 * as well as to iterate over them. It uses a {@link MemoryDataHelper} to store the data in memory.
 *
 * <p>
 * The class uses a static {@code idCount} to generate unique IDs for each access result.
 * The {@code idCountLock} object is used to synchronize access to the {@code idCount} variable,

set FESS_MIN_MEM=%FESS_HEAP_SIZE%
set FESS_MAX_MEM=%FESS_HEAP_SIZE%
)

REM min and max heap sizes should be set to the same value to avoid
REM stop-the-world GC pauses during resize, and so that we can lock the
REM heap in memory on startup to prevent any of it from being swapped
REM out.
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Xms%FESS_MIN_MEM% -Xmx%FESS_MAX_MEM%
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -XX:MaxMetaspaceSize=256m -XX:CompressedClassSpaceSize=32m

        byte[] data = "Hello, World!".getBytes();
        ContentCache cache = new ContentCache(data);

        // Memory-based cache close should not throw exception
        cache.close();

        // Should still be able to get input stream after close for memory cache
        try (InputStream stream = cache.getInputStream()) {
            assertNotNull(stream);
        }
    }

    @Test

        }
    }

    /**
     * Reads the contents of a file into a byte array and returns it.
     * <p>
     * <strong>Note:</strong> This method loads the entire file into memory.
     * For files larger than {@value #MAX_BUF_SIZE} bytes (10MB), an
     * {@link IORuntimeException} will be thrown to prevent OutOfMemoryError.
     * For large files, use streaming APIs instead.
     * </p>
     *

- Fluent API for building HTTP requests (GET, POST, PUT, DELETE, HEAD, OPTIONS, CONNECT, TRACE)
- Support for query parameters, headers, body (String or stream), compression, SSL configuration, proxies, and timeouts
- Automatic in-memory or on-disk caching of request/response bodies
- Synchronous and asynchronous (callback) execution
- Minimal dependencies (only Apache Commons IO)

## Installation

### Maven