FEA-Bench / testbed /fairlearn__fairlearn /fairlearn /metrics /_input_manipulations.py
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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
_ARRAY_NOT_1D = "Supplied input array has more than one non-trivial dimension"
def _convert_to_ndarray_and_squeeze(target):
"""Convert input to a `numpy.ndarray` and calls squeeze (to dispose of unit length dimensions).
There is a special case to stop single element arrays being converted to scalars.
"""
result = np.asarray(target)
if result.size > 1:
result = np.squeeze(result)
else:
result = result.reshape(1)
return result
def _convert_to_ndarray_1d(target):
"""Convert the input to a `numpy.ndarray` with a single dimension.
If the input is multi-dimension, this will raise an exception
"""
result = _convert_to_ndarray_and_squeeze(target)
if len(result.shape) > 1:
raise ValueError(_ARRAY_NOT_1D)
return result