Nik Afiq
5238298b55
- Implemented core model components in `modules.py` including various convolutional layers and normalization techniques. - Added transformation functions in `transforms.py` for piecewise rational quadratic transformations. - Created utility functions in `utils.py` for checkpoint management, logging, and hyperparameter handling. - Introduced monotonic alignment functionality with Cython optimization in `monotonic_align`. - Developed a minimal inference server in `server.py` to handle synthesis requests. - Updated requirements to include necessary dependencies for Cython and scipy.
32 lines
709 B
Go
32 lines
709 B
Go
package domain
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import "testing"
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func TestIntersperse(t *testing.T) {
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got := Intersperse([]int64{1, 2, 3}, 0)
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want := []int64{0, 1, 0, 2, 0, 3, 0}
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if len(got) != len(want) {
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t.Fatalf("Intersperse() = %v, want %v", got, want)
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}
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for i := range want {
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if got[i] != want[i] {
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t.Fatalf("Intersperse() = %v, want %v", got, want)
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}
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}
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}
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func TestSymbolToIDCoversLetters(t *testing.T) {
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for _, r := range "ABCabc012" {
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if _, ok := SymbolToID[r]; !ok {
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t.Errorf("SymbolToID missing letter/digit %q", r)
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}
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}
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}
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func TestSymbolToIDPad(t *testing.T) {
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id, ok := SymbolToID['_']
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if !ok || id != 0 {
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t.Fatalf("SymbolToID['_'] = (%d, %v), want (0, true) - pad must be symbol ID 0", id, ok)
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}
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}
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