487 lines
14 KiB
Python
487 lines
14 KiB
Python
from typing import cast
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import pytest
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from vllm.multimodal.processing import (MultiModalDataItems, PromptReplacement,
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_PlaceholderInfo, find_text_matches,
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find_token_matches, iter_placeholders,
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iter_token_matches,
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replace_text_matches,
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replace_token_matches)
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from vllm.transformers_utils.tokenizer import AnyTokenizer
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from vllm.utils import full_groupby
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# yapf: disable
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@pytest.mark.parametrize(
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("token_ids", "match_ids", "expected"),
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[
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([], [], []),
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([], [32000], []),
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(
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[32000, 32000, 32000],
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[32000],
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[
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{ "start_idx": 0, "end_idx": 1 },
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{ "start_idx": 1, "end_idx": 2 },
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{ "start_idx": 2, "end_idx": 3 },
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],
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),
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(
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[32000, 32000, 32000],
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[32000, 32000],
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[{ "start_idx": 0, "end_idx": 2 }],
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),
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(
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[32000, 32000, 32000],
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[32000, 32000, 32000],
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[{ "start_idx": 0, "end_idx": 3 }],
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),
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(
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[9833, 28747, 32000, 32000, 32000, 9833, 28747, 32000, 32000, 918],
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[28747, 32000],
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[
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{ "start_idx": 1, "end_idx": 3 },
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{ "start_idx": 6, "end_idx": 8 },
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],
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),
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(
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[9833, 28747, 32000, 32000, 32000, 9833, 28747, 32000, 32000, 918],
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[28747, 32000, 32000, 32000],
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[
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{ "start_idx": 1, "end_idx": 5 },
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],
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),
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(
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[9833, 28747, 32000, 32000, 32000, 9833, 28747, 32000, 32000, 918],
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[28747, 0, 32000],
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[],
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),
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],
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)
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# yapf: enable
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def test_iter_token_matches(token_ids, match_ids, expected):
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result = list(iter_token_matches(token_ids, match_ids))
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# Manually constructed results
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assert [item._asdict() for item in result] == expected
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# Invariants
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match_lens = [end - start for start, end in result]
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print("match_lens:", match_lens) # Only displayed on error
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assert all(match_len == len(match_ids) for match_len in match_lens)
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# yapf: disable
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@pytest.mark.parametrize(
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("prompt", "target_by_key", "expected_by_key"),
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[
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(
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[],
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{
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"pattern_1": [],
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"pattern_2": [32000],
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},
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{
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"pattern_1": [],
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"pattern_2": [],
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}
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),
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(
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[32000, 32000, 32000, 32000],
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{
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"pattern_1": [32000],
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"pattern_2": [32000, 32000],
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"pattern_3": [32000, 32000, 32000],
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},
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{
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"pattern_1": [
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{ "start_idx": 0, "end_idx": 1 },
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{ "start_idx": 1, "end_idx": 2 },
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{ "start_idx": 2, "end_idx": 3 },
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{ "start_idx": 3, "end_idx": 4 },
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],
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"pattern_2": [
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{ "start_idx": 0, "end_idx": 2 },
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{ "start_idx": 2, "end_idx": 4 },
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],
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"pattern_3": [
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{ "start_idx": 0, "end_idx": 3 },
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],
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},
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),
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(
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[9833, 28747, 32000, 32000, 32000, 9833, 28747, 32000, 32000, 918],
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{
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"pattern_1": [28747, 32000],
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"pattern_2": [28747, 32000, 32000, 32000],
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"pattern_3": [28747, 0, 32000],
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},
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{
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"pattern_1": [
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{ "start_idx": 1, "end_idx": 3 },
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{ "start_idx": 6, "end_idx": 8 },
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],
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"pattern_2": [
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{ "start_idx": 1, "end_idx": 5 },
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],
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"pattern_3": [],
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},
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),
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],
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)
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# yapf: enable
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def test_find_token_matches(prompt, target_by_key, expected_by_key):
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# Should not be used since there is nothing to convert to token IDs
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mock_tokenizer = cast(AnyTokenizer, object())
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prompt_repls = [
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PromptReplacement(key, target, []).bind(mock_tokenizer)
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for key, target in target_by_key.items()
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]
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result = find_token_matches(prompt, prompt_repls)
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# Only displayed on error
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print("result:", result)
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# Manually constructed results
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result_groups = dict(full_groupby(result, key=lambda x: x.modality))
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assert {
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key: [
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dict(start_idx=item.start_idx, end_idx=item.end_idx)
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for item in result_groups.get(key, [])
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]
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for key in expected_by_key
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} == expected_by_key
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# yapf: disable
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@pytest.mark.parametrize(
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("prompt", "target_by_key", "expected_by_key"),
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[
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# Detokenized test cases of `test_find_token_matches`
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# using the vocab of llava-hf/llava-v1.6-mistral-7b-hf
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(
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"",
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{
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"pattern_1": "",
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"pattern_2": "<image>",
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},
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{
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"pattern_1": [{ "start_idx": 0, "end_idx": 0 }],
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"pattern_2": [],
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}
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),
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(
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"<image><image><image><image>",
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{
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"pattern_1": "<image>",
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"pattern_2": "<image><image>",
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"pattern_3": "<image><image><image>",
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},
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{
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"pattern_1": [
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{ "start_idx": 0, "end_idx": 7 },
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{ "start_idx": 7, "end_idx": 14 },
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{ "start_idx": 14, "end_idx": 21 },
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{ "start_idx": 21, "end_idx": 28 },
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],
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"pattern_2": [
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{ "start_idx": 0, "end_idx": 14 },
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{ "start_idx": 14, "end_idx": 28 },
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],
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"pattern_3": [
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{ "start_idx": 0, "end_idx": 21 },
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],
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},
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),
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(
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"Image:<image><image><image>Image:<image><image>!",
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{
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"pattern_1": "Image:<image>",
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"pattern_2": "Image:<image><image><image>",
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"pattern_3": "Image:<unk><image>",
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},
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{
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"pattern_1": [
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{ "start_idx": 0, "end_idx": 13 },
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{ "start_idx": 27, "end_idx": 40 },
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],
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"pattern_2": [
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{ "start_idx": 0, "end_idx": 27 },
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],
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"pattern_3": [],
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},
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),
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# Test regex escape
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(
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"<|image|><image><|image|><image>",
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{
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"pattern_1": "<|image|>",
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"pattern_2": "<|image|><image>",
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"pattern_3": "<|image|><image><|image|>",
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},
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{
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"pattern_1": [
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{ "start_idx": 0, "end_idx": 9 },
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{ "start_idx": 16, "end_idx": 25 },
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],
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"pattern_2": [
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{ "start_idx": 0, "end_idx": 16 },
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{ "start_idx": 16, "end_idx": 32 },
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],
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"pattern_3": [
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{ "start_idx": 0, "end_idx": 25 },
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],
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},
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),
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],
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)
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# yapf: enable
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def test_find_text_matches(prompt, target_by_key, expected_by_key):
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# Should not be used since there is nothing to convert to text
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mock_tokenizer = cast(AnyTokenizer, object())
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prompt_repls = [
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PromptReplacement(key, target, []).bind(mock_tokenizer)
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for key, target in target_by_key.items()
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]
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result = find_text_matches(prompt, prompt_repls)
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# Only displayed on error
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print("result:", result)
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# Manually constructed results
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result_groups = dict(full_groupby(result, key=lambda x: x.modality))
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assert {
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key: [
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dict(start_idx=item.start_idx, end_idx=item.end_idx)
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for item in result_groups.get(key, [])
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]
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for key in expected_by_key
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} == expected_by_key
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# yapf: disable
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@pytest.mark.parametrize(
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("prompt", "target_by_key", "repl_by_key"),
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[
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(
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"Image:<image>Image:<image><image>!",
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{
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# We use `<image>` before `Image:` to test matches that
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# occur out of order
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"pattern_1": "<image>",
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"pattern_2": "Image:",
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"pattern_3": "!",
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},
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{
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# Test whether target is confused with replacement
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"pattern_1": "<image><image>",
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# Test empty replacement
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"pattern_2": "",
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# Test dynamic replacement (beyond the form of `unit * count`)
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"pattern_3": "?!?",
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},
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),
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]
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)
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@pytest.mark.parametrize(
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("mm_count", "expected"),
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[
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(0, "Image:<image>Image:<image><image>!"),
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(1, "<image><image>Image:<image><image>?!?"),
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(2, "<image><image><image><image><image>?!?"),
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]
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)
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# yapf: enable
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def test_find_replace_text(
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prompt,
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target_by_key,
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repl_by_key,
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mm_count,
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expected,
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):
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# Should not be used since there is nothing to convert to text
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mock_tokenizer = cast(AnyTokenizer, object())
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prompt_repls = [
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PromptReplacement(key, target, repl_by_key[key]).bind(mock_tokenizer)
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for key, target in target_by_key.items()
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]
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matches = find_text_matches(prompt, prompt_repls)
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result = replace_text_matches(
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prompt,
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matches,
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MultiModalDataItems({key: [None] * mm_count
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for key in repl_by_key}),
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)
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# Only displayed on error
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print("matches:", matches)
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print("result:", result)
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# Manually constructed results
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assert result == expected
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# yapf: disable
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@pytest.mark.parametrize(
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("prompt", "target_by_key", "repl_by_key"),
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[
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# Tokenized test cases of `test_find_replace_text`
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# using the vocab of llava-hf/llava-v1.6-mistral-7b-hf
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(
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[1, 9833, 28747, 32000, 9833, 28747, 32000, 32000, 918],
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{
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# We use `<image>` before `Image:` to test matches that
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# occur out of order
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"pattern_1": [32000],
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"pattern_2": [9833, 28747],
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"pattern_3": [918],
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},
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{
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# Test whether target is confused with replacement
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"pattern_1": [32000, 32000],
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# Test empty replacement
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"pattern_2": [],
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# Test dynamic replacement (beyond the form of `unit * count`)
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"pattern_3": [1550, 918, 1550],
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},
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),
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]
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)
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@pytest.mark.parametrize(
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("mm_count", "expected"),
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[
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(0, [1, 9833, 28747, 32000, 9833, 28747, 32000, 32000, 918]),
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(1, [1, 32000, 32000, 9833, 28747, 32000, 32000, 1550, 918, 1550]),
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(2, [1, 32000, 32000, 32000, 32000, 32000, 1550, 918, 1550]),
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]
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)
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# yapf: enable
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def test_find_replace_tokens(
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prompt,
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target_by_key,
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repl_by_key,
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mm_count,
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expected,
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):
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# Should not be used since there is nothing to convert to tokens
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mock_tokenizer = cast(AnyTokenizer, object())
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prompt_repls = [
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PromptReplacement(key, target, repl_by_key[key]).bind(mock_tokenizer)
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for key, target in target_by_key.items()
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]
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matches = find_token_matches(prompt, prompt_repls)
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result = replace_token_matches(
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prompt,
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matches,
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MultiModalDataItems({key: [None] * mm_count
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for key in repl_by_key}),
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)
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# Only displayed on error
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print("matches:", matches)
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print("result:", result)
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# Manually constructed results
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assert result == expected
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# yapf: disable
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@pytest.mark.parametrize(
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"repl_by_key",
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[
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{
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"pattern_1": [32000, 32000],
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"pattern_2": [],
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"pattern_3": [1550, 918, 1550],
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},
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],
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)
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@pytest.mark.parametrize(
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("prompt", "expected"),
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[
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(
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[1, 9833, 28747, 32000, 9833, 28747, 32000, 32000, 918],
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[
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_PlaceholderInfo(
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modality="pattern_1",
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start_idx=6,
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replacement=[32000, 32000],
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),
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],
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),
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(
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[1, 32000, 32000, 9833, 28747, 32000, 32000, 1550, 918, 1550],
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[
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_PlaceholderInfo(
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modality="pattern_1",
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start_idx=1,
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replacement=[32000, 32000],
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),
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_PlaceholderInfo(
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modality="pattern_1",
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start_idx=5,
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replacement=[32000, 32000],
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),
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_PlaceholderInfo(
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modality="pattern_3",
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start_idx=7,
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replacement=[1550, 918, 1550],
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),
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],
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),
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(
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[1, 32000, 32000, 32000, 32000, 32000, 1550, 918, 1550],
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[
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_PlaceholderInfo(
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modality="pattern_1",
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start_idx=1,
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replacement=[32000, 32000],
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),
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_PlaceholderInfo(
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modality="pattern_1",
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start_idx=3,
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replacement=[32000, 32000],
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),
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_PlaceholderInfo(
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modality="pattern_3",
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start_idx=6,
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replacement=[1550, 918, 1550],
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),
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],
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),
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]
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)
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def test_iter_placeholders(
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repl_by_key,
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prompt,
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expected,
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):
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# Should not be used since there is nothing to convert to tokens
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mock_tokenizer = cast(AnyTokenizer, object())
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prompt_repls = [
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PromptReplacement(key, [], repl).bind(mock_tokenizer)
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for key, repl in repl_by_key.items()
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]
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result = list(
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iter_placeholders(
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prompt_repls,
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prompt,
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# Effectively match all occurrences in the prompt
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MultiModalDataItems({key: [None] * 3 for key in repl_by_key}),
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))
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# Only displayed on error
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print("result:", result)
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# Manually constructed results
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assert result == expected
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