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⬆️🪝 Update pre-commit hook astral-sh/ruff-pre-commit to v0.9.1 #357

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⬆️🪝 Update pre-commit hook astral-sh/ruff-pre-commit to v0.9.1 #357

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656eaaf
⬆️🪝 Update pre-commit hook astral-sh/ruff-pre-commit to v0.9.1
renovate[bot] Jan 11, 2025
7b53c37
🎨 pre-commit fixes
pre-commit-ci[bot] Jan 11, 2025
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2 changes: 1 addition & 1 deletion .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ repos:

# Python linting and formatting using ruff
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.8.6
rev: v0.9.1
hooks:
- id: ruff
args: ["--fix", "--show-fixes"]
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6 changes: 3 additions & 3 deletions src/mqt/qecc/circuit_synthesis/synthesis_utils.py
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Expand Up @@ -96,7 +96,7 @@ def heuristic_gaussian_elimination(
matrix: The matrix to perform Gaussian elimination on.
parallel_elimination: Whether to prioritize elimination steps that act on disjoint columns.

returns:
Returns:
The reduced matrix and a list of the elimination steps taken. The elimination steps are represented as tuples of the form (i, j) where i is the column being eliminated with and j is the column being eliminated.
"""
matrix = matrix.copy()
Expand Down Expand Up @@ -166,7 +166,7 @@ def gaussian_elimination_min_column_ops(
termination_criteria: A function that takes a boolean matrix as input and returns a Z3 boolean expression that is true if the matrix is considered reduced.
max_eliminations: The maximum number of eliminations to perform.

returns:
Returns:
The reduced matrix and a list of the elimination steps taken. The elimination steps are represented as tuples of the form (i, j) where i is the column being eliminated with and j is the column being eliminated.
"""
n = matrix.shape[1]
Expand Down Expand Up @@ -235,7 +235,7 @@ def gaussian_elimination_min_parallel_eliminations(
termination_criteria: A function that takes a boolean matrix as input and returns a Z3 boolean expression that is true if the matrix is considered reduced.
max_parallel_steps: The maximum number of parallel elimination steps to perform.

returns:
Returns:
The reduced matrix and a list of the elimination steps taken. The elimination steps are represented as tuples of the form (i, j) where i is the column being eliminated with and j is the column being eliminated.
"""
columns = np.array([
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2 changes: 1 addition & 1 deletion test/python/circuit_synthesis/utils.py
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Expand Up @@ -59,7 +59,7 @@ def get_stabs_css(qc: QuantumCircuit) -> tuple[npt.NDArray[np.int_], npt.NDArray
Args:
qc: The quantum circuit.

returns:
Returns:
x: The X stabilizers.
z: The Z stabilizers.

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