wehub-resource-sync
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""The reference implementation of searchsorted in Numpy."""
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import numpy as np
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def searchsorted_ref(sorted_sequence, values, right, out_dtype):
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"""Run Numpy searchsorted on 1-D or N-D sorted_sequence."""
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side = "right" if right else "left"
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if len(sorted_sequence.shape) == 1 and len(values.shape) > 1:
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sorted_sequence_2d = np.tile(sorted_sequence, (np.prod(values.shape[:-1]), 1))
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else:
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sorted_sequence_2d = np.reshape(sorted_sequence, (-1, sorted_sequence.shape[-1]))
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values_2d = np.reshape(values, (-1, values.shape[-1]))
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indices = np.zeros(values_2d.shape, dtype=out_dtype)
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for i in range(indices.shape[0]):
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indices[i] = np.searchsorted(sorted_sequence_2d[i], values_2d[i], side=side)
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return np.reshape(indices, values.shape)
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