fix(format): convert float data read as integers instead of returning bit patterns
read_i32/read_i64/read_u64 on a floating-point dataset reinterpreted the IEEE bits (1.5 read as i64 was 4609434218613702656). Convert like libhdf5's hard conversions instead: truncate toward zero and saturate at the target range; NaN reads as 0. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
This commit is contained in:
@@ -982,7 +982,74 @@ fn convert_to_f64(
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}
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}
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/// One numeric element as stored, before conversion to the caller's type.
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#[derive(Debug, Clone, Copy, PartialEq)]
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enum Scalar {
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Signed(i64),
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Unsigned(u64),
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Float(f64),
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}
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impl Scalar {
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/// Float to integer conversions follow libhdf5's hard conversions:
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/// truncate toward zero, and saturate a value outside the target range to
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/// its minimum or maximum. NaN converts to 0 (libhdf5 leaves that case to
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/// the C cast, whose result is platform-dependent).
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fn to_i64(self) -> i64 {
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match self {
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Scalar::Signed(v) => v,
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Scalar::Unsigned(v) => v as i64,
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Scalar::Float(v) => v as i64,
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}
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}
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fn to_u64(self) -> u64 {
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match self {
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Scalar::Signed(v) => v as u64,
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Scalar::Unsigned(v) => v,
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Scalar::Float(v) => v as u64,
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}
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}
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fn to_i32(self) -> i32 {
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match self {
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Scalar::Signed(v) => v as i32,
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Scalar::Unsigned(v) => v as i32,
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Scalar::Float(v) => v as i32,
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}
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}
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}
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/// Decode one element of a numeric datatype.
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fn decode_scalar(
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bytes: &[u8],
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dt: &Datatype,
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order: &DatatypeByteOrder,
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) -> Result<Scalar, FormatError> {
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match dt {
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Datatype::FixedPoint {
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size,
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signed,
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bit_offset,
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bit_precision,
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..
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} => {
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let full = read_unsigned_int(bytes, *size as usize, order);
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let (off, prec) = effective_bits(*size as usize, *bit_offset, *bit_precision);
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Ok(if *signed {
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Scalar::Signed(extract_signed(full, off, prec))
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} else {
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Scalar::Unsigned(extract_unsigned(full, off, prec))
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})
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}
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_ => convert_to_f64(bytes, dt, order).map(Scalar::Float),
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}
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}
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/// Convert raw bytes to `i64` values.
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///
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/// Floating-point data is converted the way libhdf5 converts it: truncated
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/// toward zero, saturating at the target type's range, with NaN read as 0.
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pub fn read_as_i64(raw: &[u8], datatype: &Datatype) -> Result<Vec<i64>, FormatError> {
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if let Datatype::Array { base_type, .. } = datatype {
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return read_as_i64(raw, base_type);
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@@ -1014,17 +1081,18 @@ pub fn read_as_i64(raw: &[u8], datatype: &Datatype) -> Result<Vec<i64>, FormatEr
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}
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let order = get_byte_order(datatype);
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let (off, prec) = fixed_bits(datatype);
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let mut result = Vec::with_capacity(count);
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for i in 0..count {
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let chunk = &raw[i * elem_size..(i + 1) * elem_size];
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let full = read_unsigned_int(chunk, elem_size, &order);
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result.push(extract_signed(full, off, prec));
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result.push(decode_scalar(chunk, datatype, &order)?.to_i64());
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}
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Ok(result)
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}
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/// Convert raw bytes to `u64` values.
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///
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/// Floating-point data is converted the way libhdf5 converts it: truncated
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/// toward zero, saturating at the target type's range, with NaN read as 0.
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pub fn read_as_u64(raw: &[u8], datatype: &Datatype) -> Result<Vec<u64>, FormatError> {
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if let Datatype::Array { base_type, .. } = datatype {
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return read_as_u64(raw, base_type);
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@@ -1039,12 +1107,10 @@ pub fn read_as_u64(raw: &[u8], datatype: &Datatype) -> Result<Vec<u64>, FormatEr
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}
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let count = raw.len() / elem_size;
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let order = get_byte_order(datatype);
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let (off, prec) = fixed_bits(datatype);
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let mut result = Vec::with_capacity(count);
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for i in 0..count {
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let chunk = &raw[i * elem_size..(i + 1) * elem_size];
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let full = read_unsigned_int(chunk, elem_size, &order);
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result.push(extract_unsigned(full, off, prec));
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result.push(decode_scalar(chunk, datatype, &order)?.to_u64());
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}
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Ok(result)
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}
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@@ -1140,6 +1206,9 @@ pub fn read_as_f32(raw: &[u8], datatype: &Datatype) -> Result<Vec<f32>, FormatEr
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}
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/// Convert raw bytes to `i32` values.
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///
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/// Floating-point data is converted the way libhdf5 converts it: truncated
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/// toward zero, saturating at the target type's range, with NaN read as 0.
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pub fn read_as_i32(raw: &[u8], datatype: &Datatype) -> Result<Vec<i32>, FormatError> {
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if let Datatype::Array { base_type, .. } = datatype {
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return read_as_i32(raw, base_type);
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@@ -1170,12 +1239,10 @@ pub fn read_as_i32(raw: &[u8], datatype: &Datatype) -> Result<Vec<i32>, FormatEr
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}
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let order = get_byte_order(datatype);
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let (off, prec) = fixed_bits(datatype);
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let mut result = Vec::with_capacity(count);
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for i in 0..count {
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let chunk = &raw[i * elem_size..(i + 1) * elem_size];
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let full = read_unsigned_int(chunk, elem_size, &order);
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result.push(extract_signed(full, off, prec) as i32);
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result.push(decode_scalar(chunk, datatype, &order)?.to_i32());
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}
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Ok(result)
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}
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@@ -1666,20 +1733,6 @@ fn effective_bits(size: usize, bit_offset: u16, bit_precision: u16) -> (u32, u32
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(bit_offset as u32, prec)
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}
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/// `(bit_offset, bit_precision)` for a fixed-point datatype, full width for
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/// other types.
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fn fixed_bits(datatype: &Datatype) -> (u32, u32) {
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match datatype {
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Datatype::FixedPoint {
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size,
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bit_offset,
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bit_precision,
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..
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} => effective_bits(*size as usize, *bit_offset, *bit_precision),
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_ => (0, 0),
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}
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}
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/// Whether a datatype occupies its full storage width (bit offset 0, precision
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/// == size·8), in which case the bulk-copy fast read paths apply. Non
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/// fixed-point types are treated as full width.
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@@ -1892,6 +1945,27 @@ mod tests {
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assert_eq!(read_as_u64(&raw, &dt).unwrap(), vec![4095, 1, 2048]);
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}
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#[test]
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fn float_to_int_truncates_and_saturates() {
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// Values libhdf5 hands to an undefined C cast: NaN reads as 0 and
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// exactly 2^63 saturates instead of wrapping to i64::MIN.
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let dt = make_f64_le_type();
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let vals = [f64::NAN, 2f64.powi(63), -2.5, 2.0f64.powi(64)];
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let raw: Vec<u8> = vals.iter().flat_map(|v| v.to_le_bytes()).collect();
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assert_eq!(
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read_as_i64(&raw, &dt).unwrap(),
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vec![0, i64::MAX, -2, i64::MAX]
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);
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assert_eq!(
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read_as_u64(&raw, &dt).unwrap(),
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vec![0, 1 << 63, 0, u64::MAX]
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);
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assert_eq!(
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read_as_i32(&raw, &dt).unwrap(),
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vec![0, i32::MAX, -2, i32::MAX]
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);
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}
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#[test]
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fn full_width_signed_unchanged() {
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// Regression: full-width 32-bit signed must be unaffected.
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