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dataset_chunk_iterator_test.go
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424 lines (350 loc) · 9.48 KB
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package hdf5
import (
"context"
"errors"
"path/filepath"
"testing"
"time"
)
// createChunkedTestFile creates a test file with a chunked dataset.
func createChunkedTestFile(t *testing.T) string {
t.Helper()
tmpDir := t.TempDir()
filename := filepath.Join(tmpDir, "chunked_test.h5")
// Create file with chunked dataset.
fw, err := CreateForWrite(filename, CreateTruncate)
if err != nil {
t.Fatalf("CreateForWrite failed: %v", err)
}
// Create chunked dataset: 100x100 with 10x10 chunks = 100 chunks total.
dw, err := fw.CreateDataset("/chunked_data", Float64, []uint64{100, 100},
WithChunkDims([]uint64{10, 10}),
)
if err != nil {
t.Fatalf("CreateDataset failed: %v", err)
}
// Write data.
data := make([]float64, 100*100)
for i := range data {
data[i] = float64(i)
}
if err := dw.Write(data); err != nil {
t.Fatalf("Write failed: %v", err)
}
if err := fw.Close(); err != nil {
t.Fatalf("Close failed: %v", err)
}
return filename
}
// findFirstDataset looks for any dataset in the file.
func findFirstDataset(f *File) *Dataset {
var result *Dataset
f.Walk(func(_ string, obj Object) {
if result != nil {
return
}
if ds, ok := obj.(*Dataset); ok {
result = ds
}
})
return result
}
// TestChunkIteratorBasic tests basic chunk iteration.
func TestChunkIteratorBasic(t *testing.T) {
// Create test file with chunked dataset.
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
// Get dataset directly by finding it.
var ds *Dataset
file.Walk(func(_ string, obj Object) {
if d, ok := obj.(*Dataset); ok && ds == nil {
ds = d
}
})
if ds == nil {
t.Fatal("No dataset found in file")
}
// Create iterator.
iter, err := ds.ChunkIterator()
if err != nil {
t.Fatalf("ChunkIterator failed: %v", err)
}
// Count chunks.
chunkCount := 0
for iter.Next() {
chunk, err := iter.Chunk()
if err != nil {
t.Fatalf("Chunk() failed at index %d: %v", chunkCount, err)
}
// Verify chunk is not empty.
if chunk == nil {
t.Fatalf("Chunk %d returned nil data", chunkCount)
}
chunkCount++
}
if err := iter.Err(); err != nil {
t.Fatalf("Iterator error: %v", err)
}
if chunkCount == 0 {
t.Error("Expected at least one chunk")
}
// Verify Total() matches.
if iter.Total() != chunkCount {
t.Errorf("Total() = %d, but iterated %d chunks", iter.Total(), chunkCount)
}
}
// TestChunkIteratorProgress tests progress callback.
func TestChunkIteratorProgress(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
iter, err := ds.ChunkIterator()
if err != nil {
t.Fatalf("ChunkIterator failed: %v", err)
}
// Track progress calls.
progressCalls := 0
lastCurrent := 0
iter.OnProgress(func(current, total int) {
progressCalls++
if current <= lastCurrent {
t.Errorf("Progress went backwards: %d -> %d", lastCurrent, current)
}
lastCurrent = current
if current > total {
t.Errorf("Current %d exceeds total %d", current, total)
}
})
for iter.Next() {
_, _ = iter.Chunk()
}
if progressCalls != iter.Total() {
t.Errorf("Expected %d progress calls, got %d", iter.Total(), progressCalls)
}
}
// TestChunkIteratorContextCancellation tests context cancellation.
func TestChunkIteratorContextCancellation(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
// Create canceled context.
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
iter, err := ds.ChunkIteratorWithContext(ctx)
if err != nil {
t.Fatalf("ChunkIteratorWithContext failed: %v", err)
}
// Process first chunk, then cancel.
chunksProcessed := 0
for iter.Next() {
_, _ = iter.Chunk()
chunksProcessed++
if chunksProcessed == 1 {
cancel() // Cancel after first chunk.
}
}
// Should have stopped early if there were multiple chunks.
if iter.Total() > 1 && chunksProcessed >= iter.Total() {
t.Errorf("Expected early stop, but processed all %d chunks", chunksProcessed)
}
// Error should be context.Canceled (if we stopped early).
if iter.Total() > 1 && !errors.Is(iter.Err(), context.Canceled) {
t.Errorf("Expected context.Canceled error, got: %v", iter.Err())
}
}
// TestChunkIteratorReset tests reset functionality.
func TestChunkIteratorReset(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
iter, err := ds.ChunkIterator()
if err != nil {
t.Fatalf("ChunkIterator failed: %v", err)
}
// First pass.
pass1Count := 0
for iter.Next() {
_, _ = iter.Chunk()
pass1Count++
}
// Reset and iterate again.
iter.Reset()
pass2Count := 0
for iter.Next() {
_, _ = iter.Chunk()
pass2Count++
}
if pass1Count != pass2Count {
t.Errorf("Pass counts differ: %d vs %d", pass1Count, pass2Count)
}
}
// TestChunkIteratorNonChunked tests error for non-chunked dataset.
func TestChunkIteratorNonChunked(t *testing.T) {
tmpDir := t.TempDir()
filename := filepath.Join(tmpDir, "contiguous_test.h5")
// Create file with contiguous (non-chunked) dataset.
fw, err := CreateForWrite(filename, CreateTruncate)
if err != nil {
t.Fatalf("CreateForWrite failed: %v", err)
}
// Create contiguous dataset (no WithChunks option).
dw, err := fw.CreateDataset("/contiguous_data", Float64, []uint64{100})
if err != nil {
t.Fatalf("CreateDataset failed: %v", err)
}
data := make([]float64, 100)
for i := range data {
data[i] = float64(i)
}
if err := dw.Write(data); err != nil {
t.Fatalf("Write failed: %v", err)
}
if err := fw.Close(); err != nil {
t.Fatalf("Close failed: %v", err)
}
file, err := Open(filename)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
// Find the dataset.
var ds *Dataset
file.Walk(func(_ string, obj Object) {
if d, ok := obj.(*Dataset); ok && ds == nil {
ds = d
}
})
if ds == nil {
t.Fatal("No dataset found in file")
}
// ChunkIterator should fail for non-chunked dataset.
_, err = ds.ChunkIterator()
if err == nil {
t.Error("Expected error for non-chunked dataset, got nil")
}
}
// TestChunkIteratorChunkCoords tests ChunkCoords method.
func TestChunkIteratorChunkCoords(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
iter, err := ds.ChunkIterator()
if err != nil {
t.Fatalf("ChunkIterator failed: %v", err)
}
// Before Next(), ChunkCoords should be nil.
if coords := iter.ChunkCoords(); coords != nil {
t.Errorf("ChunkCoords before Next() should be nil, got %v", coords)
}
if iter.Next() {
coords := iter.ChunkCoords()
if coords == nil {
t.Error("ChunkCoords returned nil after Next()")
}
// Verify coordinates are reasonable (non-negative).
for i, c := range coords {
if c > 1000000 { // Sanity check.
t.Errorf("Coordinate %d seems unreasonable: %d", i, c)
}
}
}
}
// TestChunkIteratorTimeout tests context timeout.
func TestChunkIteratorTimeout(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
// Create context with very short timeout.
ctx, cancel := context.WithTimeout(context.Background(), 1*time.Nanosecond)
defer cancel()
// Wait a bit for timeout.
time.Sleep(10 * time.Millisecond)
iter, err := ds.ChunkIteratorWithContext(ctx)
if err != nil {
t.Fatalf("ChunkIteratorWithContext failed: %v", err)
}
// Next() should return false due to context deadline.
if iter.Next() {
t.Error("Expected Next() to return false due to timeout")
}
if !errors.Is(iter.Err(), context.DeadlineExceeded) {
t.Errorf("Expected DeadlineExceeded, got: %v", iter.Err())
}
}
// TestChunkIteratorDims tests ChunkDims and DatasetDims methods.
func TestChunkIteratorDims(t *testing.T) {
testFile := createChunkedTestFile(t)
file, err := Open(testFile)
if err != nil {
t.Fatalf("Failed to open file: %v", err)
}
defer file.Close()
ds := findFirstDataset(file)
if ds == nil {
t.Fatal("No dataset found in file")
}
iter, err := ds.ChunkIterator()
if err != nil {
t.Fatalf("ChunkIterator failed: %v", err)
}
// Check dimensions are returned.
chunkDims := iter.ChunkDims()
if len(chunkDims) == 0 {
t.Error("ChunkDims returned empty slice")
}
datasetDims := iter.DatasetDims()
if len(datasetDims) == 0 {
t.Error("DatasetDims returned empty slice")
}
// Dimensions should match.
if len(chunkDims) != len(datasetDims) {
t.Errorf("ChunkDims (%d) and DatasetDims (%d) have different lengths",
len(chunkDims), len(datasetDims))
}
// Dataset dims should be >= chunk dims in each dimension.
for i := range chunkDims {
if datasetDims[i] < chunkDims[i] && datasetDims[i] > 0 {
// This is actually valid for partial chunks, so just log.
t.Logf("DatasetDim[%d]=%d < ChunkDim[%d]=%d (partial chunk)", i, datasetDims[i], i, chunkDims[i])
}
}
}