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tnco.utils.tensor.get_einsum_path --> tnco.utils.tensor.get_einsum_subscripts #27

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Merged
s-mandra merged 1 commit into from
Feb 10, 2026
Merged

tnco.utils.tensor.get_einsum_path --> tnco.utils.tensor.get_einsum_subscripts #27

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10 changes: 5 additions & 5 deletions tests/test_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@
is_valid_contraction_tree)
from tnco.utils.tensor import \
decompose_hyper_inds as tensor_decompose_hyper_inds
from tnco.utils.tensor import get_einsum_path, svd
from tnco.utils.tensor import get_einsum_subscripts, svd
from tnco.utils.tn import contract
from tnco.utils.tn import decompose_hyper_inds as tn_decompose_hyper_inds
from tnco.utils.tn import (fuse, get_random_contraction_path,
Expand Down Expand Up @@ -1123,8 +1123,8 @@ def permutation(x):
output_inds = permutation(output_inds)

# Compute tensordot providing the output inds
array_c = np.einsum(get_einsum_path(inds_a, inds_b, output_inds), array_a,
array_b)
array_c = np.einsum(get_einsum_subscripts(inds_a, inds_b, output_inds),
array_a, array_b)

# Check if correct
np.testing.assert_allclose(
Expand All @@ -1151,8 +1151,8 @@ def fuse_(arrays, path, fused_inds):
# Contract
arrays.append(
Tensor(
np.einsum(get_einsum_path(tx.inds, ty.inds, iz), tx.data,
ty.data), iz))
np.einsum(get_einsum_subscripts(tx.inds, ty.inds, iz),
tx.data, ty.data), iz))

# Get final fused tensor
return arrays
Expand Down
2 changes: 1 addition & 1 deletion tnco/utils/circuit.py
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Expand Up @@ -100,7 +100,7 @@ def contraction_path_(qs_A, qs_B):
xs_C = list(
its.chain(map(lambda q: (q, 'i'), all_qubits),
map(lambda q: (q, 'f'), all_qubits)))
return tensor_utils.get_einsum_path(xs_A, xs_B, xs_C)
return tensor_utils.get_einsum_subscripts(xs_A, xs_B, xs_C)

# Reshape unitaries
array_A = array_A.reshape((2,) * 2 * len(qubits_A))
Expand Down
6 changes: 3 additions & 3 deletions tnco/utils/tensor.py
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Expand Up @@ -24,7 +24,7 @@

from tnco.typing import Array, Index

__all__ = ['decompose_hyper_inds', 'get_einsum_path', 'svd']
__all__ = ['decompose_hyper_inds', 'get_einsum_subscripts', 'svd']


def is_diagonal(array: Array, /, *, atol: Optional[float] = 1e-8) -> bool:
Expand Down Expand Up @@ -140,8 +140,8 @@ def pad(xs):
return decompose_hyper_inds(array, inds, _hyper_inds=_hyper_inds)


def get_einsum_path(inds_a: Iterable[Index], inds_b: Iterable[Index],
output_inds: Iterable[Index], /) -> str:
def get_einsum_subscripts(inds_a: Iterable[Index], inds_b: Iterable[Index],
output_inds: Iterable[Index], /) -> str:
"""Return einsum path.

Return einsum path for the contraction 'inds_a @ inds_b -> output_inds'.
Expand Down
3 changes: 2 additions & 1 deletion tnco/utils/tn.py
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Expand Up @@ -829,7 +829,8 @@ def contract(
# Append new tensor
if arrays is not None:
arrays.append(
do('einsum', tensor_utils.get_einsum_path(xs, ys, zs), ax, ay))
do('einsum', tensor_utils.get_einsum_subscripts(xs, ys, zs), ax,
ay))

# Append new indices
ts_inds.append(zs)
Expand Down