init

tests/spec_decode/test_utils.py

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+from unittest.mock import MagicMock
+
+import pytest
+
+from vllm.sequence import SequenceGroupMetadata
+from vllm.spec_decode.util import get_all_seq_ids, split_batch_by_proposal_len
+
+
+def test_get_all_seq_ids():
+    """Verify get_all_seq_ids extracts all seq ids.
+    """
+    expected_seq_ids = list(range(10)) + list(range(100, 110))
+
+    seq_group_metadata_list = [
+        SequenceGroupMetadata(
+            request_id=str(seq_id),
+            is_prompt=True,
+            seq_data={
+                seq_id: MagicMock(),
+            },
+            sampling_params=MagicMock(),
+            block_tables={
+                seq_id: MagicMock(),
+            },
+            lora_request=None,
+        ) for seq_id in expected_seq_ids
+    ]
+
+    actual_seq_ids = get_all_seq_ids(seq_group_metadata_list)
+    assert actual_seq_ids == expected_seq_ids
+
+
+@pytest.fixture
+def fake_sequence_group_metadata():
+    seq_ids = list(range(3))
+    return [
+        SequenceGroupMetadata(
+            request_id=str(i),
+            is_prompt=True,
+            seq_data={
+                i: MagicMock(),
+            },
+            sampling_params=MagicMock(),
+            block_tables={
+                i: MagicMock(),
+            },
+            lora_request=None,
+        ) for i in seq_ids
+    ]
+
+
+def test_filter_zero_length_proposals(fake_sequence_group_metadata):
+    proposal_lens = [0, 1, 0]
+    filtered_groups, indices = split_batch_by_proposal_len(
+        fake_sequence_group_metadata,
+        proposal_lens,
+        select_proposal_len_zero=True)
+
+    expected_groups = [
+        fake_sequence_group_metadata[0], fake_sequence_group_metadata[2]
+    ]
+    expected_indices = [0, 2]
+
+    assert filtered_groups == expected_groups
+    assert indices == expected_indices
+
+
+def test_filter_non_zero_length_proposals(fake_sequence_group_metadata):
+    proposal_lens = [0, 1, 2]
+    filtered_groups, indices = split_batch_by_proposal_len(
+        fake_sequence_group_metadata,
+        proposal_lens,
+        select_proposal_len_zero=False)
+
+    expected_groups = [
+        fake_sequence_group_metadata[1], fake_sequence_group_metadata[2]
+    ]
+    expected_indices = [1, 2]
+
+    assert filtered_groups == expected_groups
+    assert indices == expected_indices
+
+
+def test_empty_inputs():
+    filtered_groups, indices = split_batch_by_proposal_len(
+        [], [], select_proposal_len_zero=True)
+
+    assert filtered_groups == []
+    assert indices == []
+
+
+def test_all_zero_with_non_zero_filter(fake_sequence_group_metadata):
+    proposal_lens = [0, 0, 0]
+    filtered_groups, indices = split_batch_by_proposal_len(
+        fake_sequence_group_metadata,
+        proposal_lens,
+        select_proposal_len_zero=False)
+
+    assert filtered_groups == []
+    assert indices == []
+
+
+def test_all_non_zero_with_zero_filter(fake_sequence_group_metadata):
+    proposal_lens = [1, 1, 1]
+    filtered_groups, indices = split_batch_by_proposal_len(
+        fake_sequence_group_metadata,
+        proposal_lens,
+        select_proposal_len_zero=True)
+
+    assert filtered_groups == []
+    assert indices == []