assertEquals(TypeToken.of(Primitives.wrap((Class<?>) type.getType())), type.wrap());
  }

  private static void assertNotPrimitive(TypeToken<?> type) {
    assertFalse(type.isPrimitive());
    assertSame(type, type.wrap());
  }

  private static void assertIsWrapper(TypeToken<?> type) {
    assertNotPrimitive(type);
    assertEquals(TypeToken.of(Primitives.unwrap((Class<?>) type.getType())), type.unwrap());
  }

    ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

    auto cpu_arg =
        tensorflow::TensorHandleFromInterface(tensorflow::unwrap(hcpu));
    auto gpu_arg =
        tensorflow::TensorHandleFromInterface(tensorflow::unwrap(hgpu));
    auto gpu_device = gpu_arg->device();
    ASSERT_FALSE(cpu_arg->HasLocalMirror(gpu_device));

    TFE_Op* matmul = MatMulOp(ctx, hcpu, hgpu);

   * this} itself. Idempotent.
   *
   * @since 15.0
   */
  public final TypeToken<T> unwrap() {
    if (isWrapper()) {
      @SuppressWarnings("unchecked") // this is a wrapper class
      Class<T> type = (Class<T>) runtimeType;
      return of(Primitives.unwrap(type));
    }
    return this;
  }

  /**

    assertEquals(TypeToken.of(Primitives.wrap((Class<?>) type.getType())), type.wrap());
  }

  private static void assertNotPrimitive(TypeToken<?> type) {
    assertFalse(type.isPrimitive());
    assertSame(type, type.wrap());
  }

  private static void assertIsWrapper(TypeToken<?> type) {
    assertNotPrimitive(type);
    assertEquals(TypeToken.of(Primitives.unwrap((Class<?>) type.getType())), type.unwrap());
  }

	// This way downstream context.Canceled will still report ErrRequestTimedout
	if contextCanceled(ctx) && errors.Is(ctx.Err(), context.Canceled) {
		return ErrClientDisconnected
	}

	// Unwrap the error first
	err = unwrapAll(err)

	switch err {
	case errInvalidArgument:
		apiErr = ErrAdminInvalidArgument
	case errNoSuchPolicy:
		apiErr = ErrAdminNoSuchPolicy
	case errNoSuchUser:

	// to _cgoCheckPointer, as done in checkIndex and checkAddr.
	//
	// When the function argument is a conversion to unsafe.Pointer,
	// we unwrap the conversion before checking the pointer,
	// and then wrap again when calling C.f. This lets us check
	// the real type of the pointer in some cases. See issue #25941.
	//
	// When the call to C.f is deferred, we use an additional function

            }
            return copyInternal((FileInputStream) in, wrap(out));
        }
        if (out instanceof FileOutputStream) {
            return copyInternal(wrap(in), (FileOutputStream) out);
        }
        return copyInternal(wrap(in), wrap(out));
    }

    // ////////////////////////////////////////////////////////////////
    // from InputStream to Writer

# filesystem search takes place, since libtensorflow_framework.so has already
# been loaded by pywrap_tensorflow) and registers its ops and kernels via
# REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from
# libtensorflow_framework.so), and pywrap_tensorflow can then use these
# ops. Since other languages use the same libtensorflow_framework.so, op
# libraries are language agnostic.
#

   * {@code map} and the instances generated by {@code factory} are. Concurrent read operations will
   * work correctly. To allow concurrent update operations, wrap the multimap with a call to {@link
   * #synchronizedMultimap}.
   *
   * <p>Call this method only when the simpler methods {@link ArrayListMultimap#create()}, {@link

  integrity sha512-ILEIE97kDZvF9Wb9f6h5aXK4swSlKGUcOEGiIYb2OOu/IrDU9iwj0fD//SsA6E5ibwJxpEvhullJY4Sl4GcpAw==

wrap-ansi@^7.0.0:
  version "7.0.0"
  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
  dependencies: