| 1 | # SPDX-License-Identifier: Apache-2.0 |
| 2 | # SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | |
| 4 | import json |
| 5 | |
| 6 | import pytest |
| 7 | |
| 8 | from vllm.entrypoints.openai.chat_completion.protocol import ( |
| 9 | ChatCompletionToolsParam, |
| 10 | FunctionDefinition, |
| 11 | ) |
| 12 | from vllm.tool_parsers.minimax_m2_tool_parser import ( |
| 13 | MinimaxM2ToolParser, |
| 14 | ) |
| 15 | |
| 16 | pytestmark = pytest.mark.cpu_test |
| 17 | |
| 18 | # Token IDs matching FakeTokenizer.vocab |
| 19 | TC_START_ID = 1 |
| 20 | TC_END_ID = 2 |
| 21 | |
| 22 | |
| 23 | class FakeTokenizer: |
| 24 | """Minimal fake tokenizer for unit tests.""" |
| 25 | |
| 26 | def __init__(self): |
| 27 | self.model_tokenizer = True |
| 28 | self.vocab = { |
| 29 | "<minimax:tool_call>": TC_START_ID, |
| 30 | "</minimax:tool_call>": TC_END_ID, |
| 31 | } |
| 32 | |
| 33 | def get_vocab(self): |
| 34 | return self.vocab |
| 35 | |
| 36 | def decode(self, token_ids): |
| 37 | id_to_token = {v: k for k, v in self.vocab.items()} |
| 38 | return "".join(id_to_token.get(token_id, "") for token_id in token_ids) |
| 39 | |
| 40 | |
| 41 | @pytest.fixture |
| 42 | def parser(): |
| 43 | return MinimaxM2ToolParser(FakeTokenizer()) |
| 44 | |
| 45 | |
| 46 | # --------------------------------------------------------------------------- |
| 47 | # Helpers |
| 48 | # --------------------------------------------------------------------------- |
| 49 | |
| 50 | |
| 51 | def _feed(parser, chunks, request=None): |
| 52 | """Feed chunks through the streaming parser and collect results. |
| 53 | |
| 54 | Each element in *chunks* is either: |
| 55 | - a ``str``: used as delta_text (current_text accumulates automatically) |
| 56 | - a ``(delta_text, delta_token_ids)`` tuple for special-token scenarios |
| 57 | |
| 58 | Returns a list of non-None DeltaMessage objects. |
| 59 | """ |
| 60 | previous = "" |
| 61 | results = [] |
| 62 | for chunk in chunks: |
| 63 | if isinstance(chunk, tuple): |
| 64 | delta, delta_ids = chunk |
| 65 | else: |
| 66 | delta = chunk |
| 67 | delta_ids = [] |
| 68 | |
| 69 | current = previous + delta |
| 70 | result = parser.extract_tool_calls_streaming( |
| 71 | previous_text=previous, |
| 72 | current_text=current, |
| 73 | delta_text=delta, |
| 74 | previous_token_ids=[], |
| 75 | current_token_ids=[], |
| 76 | delta_token_ids=delta_ids, |
| 77 | request=request, |
| 78 | ) |
| 79 | if result is not None: |
| 80 | results.append(result) |
| 81 | previous = current |
| 82 | |
| 83 | return results |
| 84 | |
| 85 | |
| 86 | def _collect_content(results): |
| 87 | """Join all content strings from a list of DeltaMessages.""" |
| 88 | return "".join(r.content for r in results if r.content) |
| 89 | |
| 90 | |
| 91 | def _collect_tool_calls(results): |
| 92 | """Aggregate tool calls by index from a list of DeltaMessages. |
| 93 | |
| 94 | Returns a dict: index -> {"id": ..., "name": ..., "arguments": ...} |
| 95 | """ |
| 96 | tool_calls = {} |
| 97 | for r in results: |
| 98 | for tc in r.tool_calls or []: |
| 99 | if tc.index not in tool_calls: |
| 100 | tool_calls[tc.index] = { |
| 101 | "id": None, |
| 102 | "name": "", |
| 103 | "arguments": "", |
| 104 | } |
| 105 | if tc.id: |
| 106 | tool_calls[tc.index]["id"] = tc.id |
| 107 | if tc.function: |
| 108 | if tc.function.name: |
| 109 | tool_calls[tc.index]["name"] += tc.function.name |
| 110 | if tc.function.arguments: |
| 111 | tool_calls[tc.index]["arguments"] += tc.function.arguments |
| 112 | return tool_calls |
| 113 | |
| 114 | |
| 115 | # --------------------------------------------------------------------------- |
| 116 | # Phase 1: content before tool calls |
| 117 | # --------------------------------------------------------------------------- |
| 118 | |
| 119 | |
| 120 | class TestContentStreaming: |
| 121 | """Tests for plain content (no tool calls).""" |
| 122 | |
| 123 | def test_plain_content(self, parser): |
| 124 | """No tool call tokens — all text is streamed as content.""" |
| 125 | results = _feed(parser, ["Hello ", "world"]) |
| 126 | assert _collect_content(results) == "Hello world" |
| 127 | |
| 128 | def test_content_before_tool_call(self, parser): |
| 129 | """Text before <minimax:tool_call> is streamed as content.""" |
| 130 | results = _feed( |
| 131 | parser, |
| 132 | [ |
| 133 | "Let me check. ", |
| 134 | '<minimax:tool_call><invoke name="get_weather">' |
| 135 | '<parameter name="city">Seattle</parameter>' |
| 136 | "</invoke></minimax:tool_call>", |
| 137 | ], |
| 138 | ) |
| 139 | assert _collect_content(results) == "Let me check. " |
| 140 | |
| 141 | def test_empty_delta_no_crash(self, parser): |
| 142 | """Empty delta_text with no token IDs returns None.""" |
| 143 | results = _feed(parser, [("", [])]) |
| 144 | assert results == [] |
| 145 | |
| 146 | |
| 147 | # --------------------------------------------------------------------------- |
| 148 | # Phase 2: tool call parsing |
| 149 | # --------------------------------------------------------------------------- |
| 150 | |
| 151 | |
| 152 | class TestSingleInvoke: |
| 153 | """Tests for a single <invoke> block.""" |
| 154 | |
| 155 | def test_incremental_chunks(self, parser): |
| 156 | """Each XML element arrives in a separate chunk.""" |
| 157 | results = _feed( |
| 158 | parser, |
| 159 | [ |
| 160 | "<minimax:tool_call>", |
| 161 | '<invoke name="get_weather">', |
| 162 | '<parameter name="city">Seattle</parameter>', |
| 163 | "</invoke></minimax:tool_call>", |
| 164 | ], |
| 165 | ) |
| 166 | tc = _collect_tool_calls(results) |
| 167 | assert len(tc) == 1 |
| 168 | assert tc[0]["name"] == "get_weather" |
| 169 | assert json.loads(tc[0]["arguments"]) == {"city": "Seattle"} |
| 170 | assert tc[0]["id"] is not None |
| 171 | |
| 172 | def test_single_chunk_complete(self, parser): |
| 173 | """Entire tool call arrives in one delta.""" |
| 174 | results = _feed( |
| 175 | parser, |
| 176 | [ |
| 177 | '<minimax:tool_call><invoke name="get_weather">' |
| 178 | '<parameter name="city">Seattle</parameter>' |
| 179 | "</invoke></minimax:tool_call>", |
| 180 | ], |
| 181 | ) |
| 182 | tc = _collect_tool_calls(results) |
| 183 | assert len(tc) == 1 |
| 184 | assert json.loads(tc[0]["arguments"]) == {"city": "Seattle"} |
| 185 | |
| 186 | def test_multiple_params(self, parser): |
| 187 | """Multiple parameters in one invoke.""" |
| 188 | results = _feed( |
| 189 | parser, |
| 190 | [ |
| 191 | "<minimax:tool_call>", |
| 192 | '<invoke name="get_weather">', |
| 193 | '<parameter name="city">Seattle</parameter>', |
| 194 | '<parameter name="days">5</parameter>', |
| 195 | "</invoke></minimax:tool_call>", |
| 196 | ], |
| 197 | ) |
| 198 | tc = _collect_tool_calls(results) |
| 199 | assert json.loads(tc[0]["arguments"]) == { |
| 200 | "city": "Seattle", |
| 201 | "days": "5", |
| 202 | } |
| 203 | |
| 204 | |
| 205 | class TestMultipleInvokes: |
| 206 | """Tests for multiple <invoke> blocks in one tool call.""" |
| 207 | |
| 208 | def test_two_invokes_incremental(self, parser): |
| 209 | """Two invokes arriving one chunk at a time.""" |
| 210 | results = _feed( |
| 211 | parser, |
| 212 | [ |
| 213 | "<minimax:tool_call>", |
| 214 | '<invoke name="search_web">' |
| 215 | '<parameter name="query">OpenAI</parameter>' |
| 216 | "</invoke>", |
| 217 | '<invoke name="search_web">' |
| 218 | '<parameter name="query">Gemini</parameter>' |
| 219 | "</invoke>", |
| 220 | "</minimax:tool_call>", |
| 221 | ], |
| 222 | ) |
| 223 | tc = _collect_tool_calls(results) |
| 224 | assert len(tc) == 2 |
| 225 | assert tc[0]["name"] == "search_web" |
| 226 | assert tc[1]["name"] == "search_web" |
| 227 | assert json.loads(tc[0]["arguments"]) == {"query": "OpenAI"} |
| 228 | assert json.loads(tc[1]["arguments"]) == {"query": "Gemini"} |
| 229 | |
| 230 | def test_two_invokes_in_single_delta(self, parser): |
| 231 | """Both invokes close in the same delta — loop must emit both.""" |
| 232 | results = _feed( |
| 233 | parser, |
| 234 | [ |
| 235 | "<minimax:tool_call>", |
| 236 | '<invoke name="fn_a"><parameter name="x">1</parameter></invoke>' |
| 237 | '<invoke name="fn_b"><parameter name="y">2</parameter></invoke>', |
| 238 | "</minimax:tool_call>", |
| 239 | ], |
| 240 | ) |
| 241 | tc = _collect_tool_calls(results) |
| 242 | assert len(tc) == 2 |
| 243 | assert tc[0]["name"] == "fn_a" |
| 244 | assert tc[1]["name"] == "fn_b" |
| 245 | |
| 246 | def test_different_functions(self, parser): |
| 247 | """Parallel calls to different functions.""" |
| 248 | results = _feed( |
| 249 | parser, |
| 250 | [ |
| 251 | "<minimax:tool_call>", |
| 252 | '<invoke name="get_weather">' |
| 253 | '<parameter name="city">NYC</parameter>' |
| 254 | "</invoke>", |
| 255 | '<invoke name="get_stock">' |
| 256 | '<parameter name="ticker">AAPL</parameter>' |
| 257 | "</invoke>", |
| 258 | "</minimax:tool_call>", |
| 259 | ], |
| 260 | ) |
| 261 | tc = _collect_tool_calls(results) |
| 262 | assert tc[0]["name"] == "get_weather" |
| 263 | assert tc[1]["name"] == "get_stock" |
| 264 | |
| 265 | |
| 266 | # --------------------------------------------------------------------------- |
| 267 | # DeltaMessage structure |
| 268 | # --------------------------------------------------------------------------- |
| 269 | |
| 270 | |
| 271 | class TestDeltaMessageFormat: |
| 272 | """Verify the shape of emitted DeltaMessage / DeltaToolCall.""" |
| 273 | |
| 274 | def test_tool_call_fields(self, parser): |
| 275 | """Each emitted tool call has id, name, arguments, type, index.""" |
| 276 | results = _feed( |
| 277 | parser, |
| 278 | [ |
| 279 | '<minimax:tool_call><invoke name="fn">' |
| 280 | '<parameter name="k">v</parameter>' |
| 281 | "</invoke></minimax:tool_call>", |
| 282 | ], |
| 283 | ) |
| 284 | tc_deltas = [tc for r in results for tc in (r.tool_calls or [])] |
| 285 | assert len(tc_deltas) == 1 |
| 286 | tc = tc_deltas[0] |
| 287 | assert tc.index == 0 |
| 288 | assert tc.type == "function" |
| 289 | assert tc.id is not None |
| 290 | assert tc.function.name == "fn" |
| 291 | assert json.loads(tc.function.arguments) == {"k": "v"} |
| 292 | |
| 293 | def test_multi_invoke_indices(self, parser): |
| 294 | """Multiple invokes get sequential indices.""" |
| 295 | results = _feed( |
| 296 | parser, |
| 297 | [ |
| 298 | "<minimax:tool_call>", |
| 299 | '<invoke name="a"><parameter name="x">1</parameter></invoke>', |
| 300 | '<invoke name="b"><parameter name="x">2</parameter></invoke>', |
| 301 | "</minimax:tool_call>", |
| 302 | ], |
| 303 | ) |
| 304 | tc_deltas = [tc for r in results for tc in (r.tool_calls or [])] |
| 305 | indices = [tc.index for tc in tc_deltas] |
| 306 | assert indices == [0, 1] |
| 307 | |
| 308 | |
| 309 | # --------------------------------------------------------------------------- |
| 310 | # Large chunks (stream_interval > 1) |
| 311 | # --------------------------------------------------------------------------- |
| 312 | |
| 313 | |
| 314 | class TestLargeChunks: |
| 315 | """Simulate stream_interval > 1 where many tokens arrive at once.""" |
| 316 | |
| 317 | def test_header_and_params_in_separate_chunks(self, parser): |
| 318 | """Header in chunk 1, all params + close in chunk 2.""" |
| 319 | chunk1 = '<minimax:tool_call><invoke name="get_weather">' |
| 320 | chunk2 = ( |
| 321 | '<parameter name="city">Seattle</parameter>' |
| 322 | '<parameter name="days">5</parameter>' |
| 323 | "</invoke></minimax:tool_call>" |
| 324 | ) |
| 325 | |
| 326 | results = _feed( |
| 327 | parser, |
| 328 | [ |
| 329 | chunk1, |
| 330 | chunk2, |
| 331 | ], |
| 332 | ) |
| 333 | |
| 334 | tc = _collect_tool_calls(results) |
| 335 | assert len(tc) == 1 |
| 336 | parsed = json.loads(tc[0]["arguments"]) |
| 337 | assert parsed == {"city": "Seattle", "days": "5"} |
| 338 | |
| 339 | |
| 340 | class TestAnyOfNullableParam: |
| 341 | """Regression: anyOf nullable parameter parsing (PR #32342).""" |
| 342 | |
| 343 | def test_anyof_nullable_param_non_null_value(self): |
| 344 | """A valid non-null string should be preserved, not collapsed to None.""" |
| 345 | tools = [ |
| 346 | ChatCompletionToolsParam( |
| 347 | function=FunctionDefinition( |
| 348 | name="update_profile", |
| 349 | parameters={ |
| 350 | "type": "object", |
| 351 | "properties": { |
| 352 | "nickname": { |
| 353 | "anyOf": [{"type": "string"}, {"type": "null"}], |
| 354 | }, |
| 355 | }, |
| 356 | }, |
| 357 | ), |
| 358 | ) |
| 359 | ] |
| 360 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 361 | |
| 362 | results = _feed( |
| 363 | parser, |
| 364 | [ |
| 365 | '<minimax:tool_call><invoke name="update_profile">' |
| 366 | '<parameter name="nickname">Alice</parameter>' |
| 367 | "</invoke></minimax:tool_call>", |
| 368 | ], |
| 369 | ) |
| 370 | tc = _collect_tool_calls(results) |
| 371 | assert len(tc) == 1 |
| 372 | parsed = json.loads(tc[0]["arguments"]) |
| 373 | assert parsed["nickname"] == "Alice" |
| 374 | |
| 375 | def test_anyof_nullable_param_null_value(self): |
| 376 | """An actual null-like value should be returned as None/null.""" |
| 377 | tools = [ |
| 378 | ChatCompletionToolsParam( |
| 379 | function=FunctionDefinition( |
| 380 | name="update_profile", |
| 381 | parameters={ |
| 382 | "type": "object", |
| 383 | "properties": { |
| 384 | "nickname": { |
| 385 | "anyOf": [{"type": "string"}, {"type": "null"}], |
| 386 | }, |
| 387 | }, |
| 388 | }, |
| 389 | ), |
| 390 | ) |
| 391 | ] |
| 392 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 393 | |
| 394 | results = _feed( |
| 395 | parser, |
| 396 | [ |
| 397 | '<minimax:tool_call><invoke name="update_profile">' |
| 398 | '<parameter name="nickname">null</parameter>' |
| 399 | "</invoke></minimax:tool_call>", |
| 400 | ], |
| 401 | ) |
| 402 | tc = _collect_tool_calls(results) |
| 403 | assert len(tc) == 1 |
| 404 | parsed = json.loads(tc[0]["arguments"]) |
| 405 | assert parsed["nickname"] is None |
| 406 | |
| 407 | def test_anyof_nullable_param_object_value(self): |
| 408 | """A valid object value in anyOf with null should parse as dict.""" |
| 409 | tools = [ |
| 410 | ChatCompletionToolsParam( |
| 411 | function=FunctionDefinition( |
| 412 | name="update_settings", |
| 413 | parameters={ |
| 414 | "type": "object", |
| 415 | "properties": { |
| 416 | "config": { |
| 417 | "anyOf": [{"type": "object"}, {"type": "null"}], |
| 418 | }, |
| 419 | }, |
| 420 | }, |
| 421 | ), |
| 422 | ) |
| 423 | ] |
| 424 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 425 | |
| 426 | results = _feed( |
| 427 | parser, |
| 428 | [ |
| 429 | '<minimax:tool_call><invoke name="update_settings">' |
| 430 | '<parameter name="config">{"theme": "dark", "fontSize": 14}' |
| 431 | "</parameter>" |
| 432 | "</invoke></minimax:tool_call>", |
| 433 | ], |
| 434 | ) |
| 435 | tc = _collect_tool_calls(results) |
| 436 | assert len(tc) == 1 |
| 437 | parsed = json.loads(tc[0]["arguments"]) |
| 438 | assert parsed["config"] == {"theme": "dark", "fontSize": 14} |
| 439 | assert isinstance(parsed["config"], dict) |
| 440 | |
| 441 | |
| 442 | class TestNoneStringPreservation: |
| 443 | """Regression tests for #39567: 'none' as a string must not become None.""" |
| 444 | |
| 445 | def test_none_string_preserved_in_enum(self): |
| 446 | """'none' in an enum must stay as the string 'none', not Python None.""" |
| 447 | tools = [ |
| 448 | ChatCompletionToolsParam( |
| 449 | function=FunctionDefinition( |
| 450 | name="set_theme", |
| 451 | parameters={ |
| 452 | "type": "object", |
| 453 | "properties": { |
| 454 | "theme": { |
| 455 | "type": "string", |
| 456 | "enum": ["dark", "light", "none"], |
| 457 | }, |
| 458 | }, |
| 459 | }, |
| 460 | ), |
| 461 | ) |
| 462 | ] |
| 463 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 464 | |
| 465 | results = _feed( |
| 466 | parser, |
| 467 | [ |
| 468 | '<minimax:tool_call><invoke name="set_theme">' |
| 469 | '<parameter name="theme">none</parameter>' |
| 470 | "</invoke></minimax:tool_call>", |
| 471 | ], |
| 472 | ) |
| 473 | tc = _collect_tool_calls(results) |
| 474 | assert len(tc) == 1 |
| 475 | parsed = json.loads(tc[0]["arguments"]) |
| 476 | assert parsed["theme"] == "none" |
| 477 | assert parsed["theme"] is not None |
| 478 | |
| 479 | def test_none_string_preserved_plain_string(self): |
| 480 | """'none' as a plain string param must stay as 'none'.""" |
| 481 | tools = [ |
| 482 | ChatCompletionToolsParam( |
| 483 | function=FunctionDefinition( |
| 484 | name="echo", |
| 485 | parameters={ |
| 486 | "type": "object", |
| 487 | "properties": { |
| 488 | "message": {"type": "string"}, |
| 489 | }, |
| 490 | }, |
| 491 | ), |
| 492 | ) |
| 493 | ] |
| 494 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 495 | |
| 496 | results = _feed( |
| 497 | parser, |
| 498 | [ |
| 499 | '<minimax:tool_call><invoke name="echo">' |
| 500 | '<parameter name="message">none</parameter>' |
| 501 | "</invoke></minimax:tool_call>", |
| 502 | ], |
| 503 | ) |
| 504 | tc = _collect_tool_calls(results) |
| 505 | assert len(tc) == 1 |
| 506 | parsed = json.loads(tc[0]["arguments"]) |
| 507 | assert parsed["message"] == "none" |
| 508 | |
| 509 | def test_null_still_converts_to_none(self): |
| 510 | """'null' in a nullable param must still become Python None.""" |
| 511 | tools = [ |
| 512 | ChatCompletionToolsParam( |
| 513 | function=FunctionDefinition( |
| 514 | name="update_profile", |
| 515 | parameters={ |
| 516 | "type": "object", |
| 517 | "properties": { |
| 518 | "nickname": { |
| 519 | "anyOf": [{"type": "string"}, {"type": "null"}], |
| 520 | }, |
| 521 | }, |
| 522 | }, |
| 523 | ), |
| 524 | ) |
| 525 | ] |
| 526 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 527 | |
| 528 | results = _feed( |
| 529 | parser, |
| 530 | [ |
| 531 | '<minimax:tool_call><invoke name="update_profile">' |
| 532 | '<parameter name="nickname">null</parameter>' |
| 533 | "</invoke></minimax:tool_call>", |
| 534 | ], |
| 535 | ) |
| 536 | tc = _collect_tool_calls(results) |
| 537 | assert len(tc) == 1 |
| 538 | parsed = json.loads(tc[0]["arguments"]) |
| 539 | assert parsed["nickname"] is None |
| 540 | |
| 541 | def test_nil_string_preserved(self): |
| 542 | """'nil' must stay as the string 'nil', not become None.""" |
| 543 | tools = [ |
| 544 | ChatCompletionToolsParam( |
| 545 | function=FunctionDefinition( |
| 546 | name="echo", |
| 547 | parameters={ |
| 548 | "type": "object", |
| 549 | "properties": { |
| 550 | "value": {"type": "string"}, |
| 551 | }, |
| 552 | }, |
| 553 | ), |
| 554 | ) |
| 555 | ] |
| 556 | parser = MinimaxM2ToolParser(FakeTokenizer(), tools=tools) |
| 557 | |
| 558 | results = _feed( |
| 559 | parser, |
| 560 | [ |
| 561 | '<minimax:tool_call><invoke name="echo">' |
| 562 | '<parameter name="value">nil</parameter>' |
| 563 | "</invoke></minimax:tool_call>", |
| 564 | ], |
| 565 | ) |
| 566 | tc = _collect_tool_calls(results) |
| 567 | assert len(tc) == 1 |
| 568 | parsed = json.loads(tc[0]["arguments"]) |
| 569 | assert parsed["value"] == "nil" |
| 570 | |
| 571 | |
| 572 | class TestParameterWhitespace: |
| 573 | """Parameter values must preserve surrounding whitespace.""" |
| 574 | |
| 575 | def test_whitespace_preserved(self, parser): |
| 576 | results = _feed( |
| 577 | parser, |
| 578 | [ |
| 579 | '<minimax:tool_call><invoke name="echo">' |
| 580 | '<parameter name="msg"> hi </parameter>' |
| 581 | "</invoke></minimax:tool_call>", |
| 582 | ], |
| 583 | ) |
| 584 | tc = _collect_tool_calls(results) |
| 585 | assert len(tc) == 1 |
| 586 | assert json.loads(tc[0]["arguments"]) == {"msg": " hi "} |
| 587 | |
| 588 | def test_whitespace_preserved_across_chunks(self, parser): |
| 589 | """Value split before </parameter> arrives, i.e. the partial path.""" |
| 590 | results = _feed( |
| 591 | parser, |
| 592 | [ |
| 593 | '<minimax:tool_call><invoke name="write">' |
| 594 | '<parameter name="content"> def foo():\n', |
| 595 | " return 1\n", |
| 596 | "</parameter></invoke></minimax:tool_call>", |
| 597 | ], |
| 598 | ) |
| 599 | tc = _collect_tool_calls(results) |
| 600 | assert len(tc) == 1 |
| 601 | assert json.loads(tc[0]["arguments"]) == { |
| 602 | "content": " def foo():\n return 1\n" |
| 603 | } |