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chore: rename n to num_samples #6

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merged 1 commit into from
Jul 5, 2023
Merged

chore: rename n to num_samples #6

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13 changes: 7 additions & 6 deletions src/autora/experimentalist/sampler/nearest_value/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,15 +7,16 @@
def nearest_values_sample(
samples: Union[Iterable, Sequence],
allowed_values: np.ndarray,
n: int,
num_samples: int,
):
"""
A sampler which returns the nearest values between the input samples and the allowed values,
without replacement.

Args:
samples: input conditions
allowed_samples: allowed conditions to sample from
allowed_values: allowed conditions to sample from
num_samples: number of samples

Returns:
the nearest values from `allowed_samples` to the `samples`
Expand All @@ -31,7 +32,7 @@ def nearest_values_sample(
if isinstance(samples, Iterable):
samples = np.array(list(samples))

if allowed_values.shape[0] < n:
if allowed_values.shape[0] < num_samples:
raise Exception(
"More samples requested than samples available in the set allowed of values."
)
Expand All @@ -40,17 +41,17 @@ def nearest_values_sample(
samples = np.array(list(samples))

if hasattr(samples, "shape"):
if samples.shape[0] < n:
if samples.shape[0] < num_samples:
raise Exception(
"More samples requested than samples available in the pool."
)

x_new = np.empty((n, allowed_values.shape[1]))
x_new = np.empty((num_samples, allowed_values.shape[1]))

# get index of row in x that is closest to each sample
for row, sample in enumerate(samples):

if row >= n:
if row >= num_samples:
break

dist = np.linalg.norm(allowed_values - sample, axis=1)
Expand Down