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2f86d9b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | # Copyright 2026 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from gemma import gm
import numpy as np
import pytest
def test_pad():
np.testing.assert_array_equal(
gm.data.pad([1, 2, 3], max_length=6),
[1, 2, 3, 0, 0, 0],
)
np.testing.assert_array_equal(
gm.data.pad([1, 2, 3, 4, 5, 6], max_length=6),
[1, 2, 3, 4, 5, 6],
)
with pytest.raises(ValueError, match="Cannot pad sequence"):
gm.data.pad([1, 2, 3, 4, 5, 6, 7], max_length=6)
np.testing.assert_array_equal(
gm.data.pad([1, 2, 3, 4, 5, 6, 7], max_length=6, truncate=True),
[1, 2, 3, 4, 5, 6],
)
arr = np.arange(6).reshape((2, 3)) + 1
np.testing.assert_array_equal(
gm.data.pad(arr, max_length=6),
[
[1, 2, 3, 0, 0, 0],
[4, 5, 6, 0, 0, 0],
],
)
def test_seq2seq():
out = gm.data.make_seq2seq_fields(
prompt=[10, 11, 12, 13, 14],
response=[20, 21, 1], # Response ends with EOS token.
)
expected_output = {
# fmt: off
# pylint: disable=bad-whitespace
"input": [10, 11, 12, 13, 14, 20, 21],
"target": [11, 12, 13, 14, 20, 21, 1],
"target_mask": [ 0, 0, 0, 0, 1, 1, 1],
# pylint: enable=bad-whitespace
# fmt: on
}
np.testing.assert_array_equal(out.input, expected_output["input"])
np.testing.assert_array_equal(out.target, expected_output["target"])
np.testing.assert_array_equal(out.target_mask, expected_output["target_mask"])
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