UniformQuantizeFunctionCallPattern::Match(
            input_uniform_quantize_call_op);

    const float input_inverse_scale_value =
        input_uniform_quantize_call_pattern->GetInverseScalesValueAttr()
            .getSplatValue<APFloat>()
            .convertToFloat();
    const float input_scale_value = 1.0 / input_inverse_scale_value;

    const int8_t input_zero_point_value =

      }
    }
  }
  return has_quantized_types;
}

// Transfers the attributes of the corresponding ops from the float function to
// the quantized function using the attr_map attribute. In the quantized
// function, this map (map1) is in {attr_name_1: attr_identifier} format; and in
// the float function, this map (map2) is in {attr_identifier: attr_name_2}
// format. Where, the attribute identifiers should match between two maps,

			obj: objs(
				int64(5),      // val1, integer type, integer value
				float64(10.0), // val4, number type, parsed from decimal literal
				float64(10.0), // val5, float type, parsed from decimal literal
				float64(10.0), // val6, double type, parsed from decimal literal
				int64(10),     // val7, number type, parsed from integer literal
				int64(10),     // val8, float type, parsed from integer literal

        "32 bit float constant tensor">;

// Checks if the param passed is a float ElementsAttr.
def FloatElementsAttr : ElementsAttrBase<
  CPred<"$_self.isa<ElementsAttr>() && $_self.cast<ElementsAttr>().getShapedType().getElementType().isa<FloatType>()">,
        "float constant tensor">;

def ExtractSingleElementAsFloat : NativeCodeCall<

     *            同時更新を行うスレッドの推定数
     * @return {@link ConcurrentHashMap}の新しいインスタンス
     * @see ConcurrentHashMap#ConcurrentHashMap(int, float, int)
     */
    public static <K, V> ConcurrentHashMap<K, V> newConcurrentHashMap(final int initialCapacity, final float loadFactor,
            final int concurrencyLevel) {
        return new ConcurrentHashMap<>(initialCapacity, loadFactor, concurrencyLevel);
    }

	{"HEX", "{{print 0X123ABC}}", "1194684", tVal, true},
	{"float", "{{print 123.4}}", "123.4", tVal, true},
	{"float _", "{{print 0_0_1_2_3.4}}", "123.4", tVal, true},
	{"hex float", "{{print +0x1.ep+2}}", "7.5", tVal, true},
	{"hex float _", "{{print +0x_1.e_0p+0_2}}", "7.5", tVal, true},
	{"HEX float", "{{print +0X1.EP+2}}", "7.5", tVal, true},

	// new memory has been freed into it.
	sc.setNonEmpty()
}

type piController struct {
	kp float64 // Proportional constant.
	ti float64 // Integral time constant.
	tt float64 // Reset time.

	min, max float64 // Output boundaries.

	// PI controller state.

	errIntegral float64 // Integral of the error from t=0 to now.

	// Error flags.

        .put(byte.class, Byte.class)
        .put(short.class, Short.class)
        .put(int.class, Integer.class)
        .put(boolean.class, Boolean.class)
        .put(float.class, Float.class)
        .put(char.class, Character.class)
        .put(double.class, Double.class)
        .put(long.class, Long.class)
        .build();

    /**

		{name: "CGEBRA", argLength: 1, reg: fpgp, asm: "CGEBRA", clobberFlags: true}, // convert float32 to int64
		{name: "CEFBRA", argLength: 1, reg: gpfp, asm: "CEFBRA", clobberFlags: true}, // convert int32 to float32
		{name: "CDFBRA", argLength: 1, reg: gpfp, asm: "CDFBRA", clobberFlags: true}, // convert int32 to float64
		{name: "CEGBRA", argLength: 1, reg: gpfp, asm: "CEGBRA", clobberFlags: true}, // convert int64 to float32

		return false
	case Float32, Float64, Complex64, Complex128, Interface, String:
		// Float keys can be updated from +0 to -0.
		// String keys can be updated to use a smaller backing store.
		// Interfaces might have floats or strings in them.
		return true
	case Array:
		tt := (*arrayType)(unsafe.Pointer(t))