make private function public

mitiq/lre/inference/multivariate_richardson.py

@@ -16,7 +16,7 @@
 from numpy.typing import NDArray
 
 from mitiq.lre.multivariate_scaling.layerwise_folding import (
-    _get_scale_factor_vectors,
+    get_scale_factor_vectors,
 )
 
 
@@ -93,7 +93,7 @@ def sample_matrix(
     if fold_multiplier < 1:
         raise ValueError("Fold multiplier must be greater than or equal to 1.")
 
-    scale_factor_vectors = _get_scale_factor_vectors(
+    scale_factor_vectors = get_scale_factor_vectors(
         input_circuit, degree, fold_multiplier, num_chunks
     )
     num_layers = len(scale_factor_vectors[0])
@@ -156,7 +156,7 @@ def multivariate_richardson_coefficients(
         input_circuit, degree, fold_multiplier, num_chunks
     )
     num_layers = len(
-        _get_scale_factor_vectors(
+        get_scale_factor_vectors(
             input_circuit, degree, fold_multiplier, num_chunks
         )
     )

mitiq/lre/multivariate_scaling/layerwise_folding.py

@@ -89,7 +89,7 @@ def _get_chunks(
     ]
 
 
-def _get_scale_factor_vectors(
+def get_scale_factor_vectors(
     input_circuit: Circuit,
     degree: int,
     fold_multiplier: int,
@@ -188,7 +188,7 @@ def multivariate_layer_scaling(
     circuit_copy = deepcopy(input_circuit)
     terminal_measurements = _pop_measurements(circuit_copy)
 
-    scaling_pattern = _get_scale_factor_vectors(
+    scaling_pattern = get_scale_factor_vectors(
         circuit_copy, degree, fold_multiplier, num_chunks
     )
 

mitiq/lre/tests/test_layerwise_folding.py

@@ -14,7 +14,7 @@
 from mitiq.lre.multivariate_scaling.layerwise_folding import (
     _get_chunks,
     _get_num_layers_without_measurements,
-    _get_scale_factor_vectors,
+    get_scale_factor_vectors,
     multivariate_layer_scaling,
 )
 
@@ -215,11 +215,11 @@ def test_layers_with_chunking():
         ),
     ],
 )
-def test_get_scale_factor_vectors_no_chunking(
+def testget_scale_factor_vectors_no_chunking(
     test_input, degree, test_fold_multiplier, expected_scale_factor_vectors
 ):
     """Verifies vectors of scale factors are calculated accurately."""
-    calculated_scale_factor_vectors = _get_scale_factor_vectors(
+    calculated_scale_factor_vectors = get_scale_factor_vectors(
         test_input, degree, test_fold_multiplier
     )
 
@@ -234,11 +234,11 @@ def test_get_scale_factor_vectors_no_chunking(
         (test_circuit1, 2, 3, 2, 6),
     ],
 )
-def test_get_scale_factor_vectors_with_chunking(
+def testget_scale_factor_vectors_with_chunking(
     test_input, degree, test_fold_multiplier, test_chunks, expected_size
 ):
     """Verifies vectors of scale factors are calculated accurately."""
-    calculated_scale_factor_vectors = _get_scale_factor_vectors(
+    calculated_scale_factor_vectors = get_scale_factor_vectors(
         test_input, degree, test_fold_multiplier, test_chunks
     )
 
@@ -270,7 +270,7 @@ def test_invalid_num_chunks(test_input, num_chunks, error_msg):
     """Ensures that the number of intended chunks in the input circuit raises
     an error for an invalid value."""
     with pytest.raises(ValueError, match=error_msg):
-        _get_scale_factor_vectors(test_input, 2, 2, num_chunks)
+        get_scale_factor_vectors(test_input, 2, 2, num_chunks)
 
 
 @pytest.mark.parametrize(