}

func (f *zeroPanicker) String() string {
	if !f.dontPanic {
		panic("panic!")
	}
	return f.v
}

const defaultOutput = `  -A	for bootstrapping, allow 'any' type
  -Alongflagname
    	disable bounds checking
  -C	a boolean defaulting to true (default true)
  -D path
    	set relative path for local imports
  -E string
    	issue 23543 (default "0")
  -F number
    	a non-zero number (default 2.7)

		assert.NoError(t, err)
		assert.True(t, allocated >= minimumMappingUID)
		// The last ID of the userns range (allocated+userNsLength) should be within bounds.
		assert.True(t, allocated <= minimumMappingUID+mappingLen-userNsLength)
		allocs = append(allocs, allocated)
	}
	for i, v := range allocs {
		assert.Equal(t, true, m.isSet(v), "m.isSet(%d) should be true", v)

    `SparseDenseCwiseMul`
    ([CVE-2021-29567](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29567))
*   Fixes a heap out of bounds read in `MaxPoolGradWithArgmax`
    ([CVE-2021-29570](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29570))
*   Fixes a heap out of bounds read in `RequantizationRange`
    ([CVE-2021-29569](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29569))

	start := time.Now()
	defer func() {
		if debugPrint {
			fmt.Println("Mux", m.ID, "Handler took", time.Since(start).Round(time.Millisecond))
		}
		if r := recover(); r != nil {
			gridLogIf(ctx, fmt.Errorf("grid handler (%v) panic: %v", msg.Handler, r))
			err := RemoteErr(fmt.Sprintf("handler panic: %v", r))
			handlerErr = &err
		}

// can be set to nil.
func indirect(v reflect.Value, decodingNull bool) (Unmarshaler, encoding.TextUnmarshaler, reflect.Value) {
	// Issue #24153 indicates that it is generally not a guaranteed property
	// that you may round-trip a reflect.Value by calling Value.Addr().Elem()
	// and expect the value to still be settable for values derived from
	// unexported embedded struct fields.
	//

                     OpBuilder builder) {
  double scale = mlir::cast<FloatAttr>(scale_attr).getValueAsDouble();
  int64_t zp = mlir::cast<IntegerAttr>(zp_attr).getInt();

  int quantized = static_cast<int>(std::round(value / scale) + zp);
  quantized =
      std::min(quantized, static_cast<int>(std::numeric_limits<int8_t>::max()));
  quantized =
      std::max(quantized, static_cast<int>(std::numeric_limits<int8_t>::min()));

		tpar.iface()
		// The type parameter bound is parameterized with the same type parameters
		// as the instantiated type; before we can use it for bounds checking we
		// need to instantiate it with the type arguments with which we instantiated
		// the parameterized type.
		bound := check.subst(pos, tpar.bound, smap, nil, ctxt)
		var cause string

			return StructuralError("data exceeds block size")
		}
		bz2.tt[bufIndex] = uint32(b)
		bz2.c[b]++
		bufIndex++
	}

	if origPtr >= uint(bufIndex) {
		return StructuralError("origPtr out of bounds")
	}

	// We have completed the entropy decoding. Now we can perform the
	// inverse BWT and setup the RLE buffer.
	bz2.preRLE = bz2.tt[:bufIndex]
	bz2.preRLEUsed = 0

  }

  // TFlite uses narrow-range [u]int8 for constant buffers of quantized weights.
  // Since we don't know which ones are weights, we represent this optimization
  // as a change in the storage bounds for the type for all constants of this
  // type.
  const int bitwidth = storage_type.getIntOrFloatBitWidth();
  const bool is_weight_buffer = is_constant && (bitwidth == 8);

  int64_t storage_min =

    ArrayRef<int64_t> bounds = hlo::encodingToBounds(input_ty.getEncoding());
    // The input type has bounded dynamic dimension.
    if (!bounds.empty()) {
      SmallVector<int64_t> new_bounds(bounds.begin(), bounds.end());
      SmallVector<int64_t> new_shape(shape.begin(), shape.end());
      // If dimension of the input type is dynamic. Update the
      // bounds of the dim with the new type if needed.