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Use dataclasses.replace to simplify coding. #16

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Merged
merged 1 commit into from
Jul 31, 2025
+32 −59
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Use dataclasses.replace to simplify coding. #16

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91 changes: 32 additions & 59 deletions parity_tensor/parity_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,8 +60,8 @@ def to(self, device: torch.device) -> ParityTensor:
"""
Copy the tensor to a specified device.
"""
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
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Copilot AI Jul 31, 2025

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The dataclasses module is not imported. You need to add import dataclasses at the top of the file to use dataclasses.replace().

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self,
_tensor=self._tensor.to(device),
_parity=tuple(p.to(device) for p in self._parity) if self._parity is not None else None,
_mask=self._mask.to(device) if self._mask is not None else None,
Expand Down Expand Up @@ -96,7 +96,8 @@ def permute(self, before_by_after: tuple[int, ...]) -> ParityTensor:
)
tensor = torch.where(total_parity, -tensor, +tensor)

return ParityTensor(
return dataclasses.replace(
self,
_edges=edges,
_tensor=tensor,
_parity=parity,
Expand Down Expand Up @@ -128,40 +129,32 @@ def _validate_edge_compatibility(self, other: ParityTensor) -> None:
assert self._edges == other.edges, f"Edges must match for arithmetic operations. Got {self._edges} and {other.edges}."

def __pos__(self) -> ParityTensor:
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=+self._tensor,
_parity=self._parity,
_mask=self._mask,
)

def __neg__(self) -> ParityTensor:
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=-self._tensor,
_parity=self._parity,
_mask=self._mask,
)

def __add__(self, other: typing.Any) -> ParityTensor:
if isinstance(other, ParityTensor):
self._validate_edge_compatibility(other)
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=self._tensor + other._tensor,
_parity=self._parity,
_mask=self._mask,
)
try:
result = self._tensor + other
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -171,11 +164,9 @@ def __radd__(self, other: typing.Any) -> ParityTensor:
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -190,22 +181,18 @@ def __iadd__(self, other: typing.Any) -> ParityTensor:
def __sub__(self, other: typing.Any) -> ParityTensor:
if isinstance(other, ParityTensor):
self._validate_edge_compatibility(other)
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=self._tensor - other._tensor,
_parity=self._parity,
_mask=self._mask,
)
try:
result = self._tensor - other
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -215,11 +202,9 @@ def __rsub__(self, other: typing.Any) -> ParityTensor:
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -234,22 +219,18 @@ def __isub__(self, other: typing.Any) -> ParityTensor:
def __mul__(self, other: typing.Any) -> ParityTensor:
if isinstance(other, ParityTensor):
self._validate_edge_compatibility(other)
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=self._tensor * other._tensor,
_parity=self._parity,
_mask=self._mask,
)
try:
result = self._tensor * other
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -259,11 +240,9 @@ def __rmul__(self, other: typing.Any) -> ParityTensor:
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -278,22 +257,18 @@ def __imul__(self, other: typing.Any) -> ParityTensor:
def __truediv__(self, other: typing.Any) -> ParityTensor:
if isinstance(other, ParityTensor):
self._validate_edge_compatibility(other)
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=self._tensor / other._tensor,
_parity=self._parity,
_mask=self._mask,
)
try:
result = self._tensor / other
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand All @@ -303,11 +278,9 @@ def __rtruediv__(self, other: typing.Any) -> ParityTensor:
except TypeError:
return NotImplemented
if isinstance(result, torch.Tensor):
return ParityTensor(
_edges=self._edges,
return dataclasses.replace(
self,
_tensor=result,
_parity=self._parity,
_mask=self._mask,
)
return NotImplemented

Expand Down