akash6murali 2afdb3d2d8 test: add unit tests for SamplingParams, CacheConfig, ParallelConfig, SchedulerConfig ... The config and sampling-parameter classes had zero test coverage despite containing non-trivial validation logic that is exercised on every engine startup. This PR adds two focused, CPU-only test files that cover all _verify_args paths and several construction edge cases. tests/test_sampling_params.py (47 tests) Covers every validation rule in SamplingParams._verify_args: - temperature: non-negative check, greedy-mode clamp (< SAMPLING_EPS → temperature=SAMPLING_EPS, top_p=1.0, top_k=-1). - top_p: exclusive lower bound (> 0.0) and upper bound (<= 1.0). - top_k: -1 (disabled) or [1, INT32_MAX]; zero and other negatives rejected. - max_tokens: >= 1 and <= INT32_MAX; notably max_tokens=0 now raises ValueError (the original code silently coerced 0 → 1 before validation). - top_logprobs: [0, 1000]. - seq_seed: auto-generation, explicit value, uint64 masking, non-int raises. - logprobs deprecation: logprobs=False emits no warning; logprobs=True emits DeprecationWarning matching "logprobs.*deprecated". - Optional fields: golden_token_ids, so_args, ignore_eos, first_n_token_no_eos, eos_id, prompt_logprobs. - Greedy mode: temperature=0 overrides top_k and top_p; non-zero preserves them. tests/test_config.py (23 tests) CacheConfig: - Valid construction, boundary values (utilization=1.0), lookahead_tokens, deferred-field initialisation (num_gpu_blocks etc. start as None). - Rejects gpu_memory_utilization > 1.0 (existing check). - Two tests marked xfail(strict=True) for the missing lower-bound guard (0.0 and negative values currently pass silently). These will flip to XPASS once PR fix/cache-config-validation is merged. ParallelConfig: - Auto-derivation of data_parallel_size when 0 is passed (min 1). - world_size, data_parallel_rank, model_parallel_size, engram derivation. - AssertionError when (cp * dp) is not divisible by ep. - AssertionError when engine_rank is out of range. SchedulerConfig: - max_num_batched_tokens auto-default (>= max(max_model_len, 4096)). - ValueError when explicit max_num_batched_tokens < max_model_len and chunked_prefill=False; passes when chunked_prefill=True. - ValueError for prefill_attempt_interval <= 0 and prefill_any_attempt_interval <= 0. - runtime_max_model_len >= max_model_len. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-10-20 14:28:11 -04:00
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distributed	initial commit	2026-10-20 12:09:42 +08:00
engine	initial commit	2026-10-20 12:09:42 +08:00
models	initial commit	2026-10-20 12:09:42 +08:00
ve	initial commit	2026-10-20 12:09:42 +08:00
worker	initial commit	2026-10-20 12:09:42 +08:00
__init__.py	initial commit	2026-10-20 12:09:42 +08:00
conftest.py	initial commit	2026-10-20 12:09:42 +08:00
test_config.py	test: add unit tests for SamplingParams, CacheConfig, ParallelConfig, SchedulerConfig	2026-10-20 14:28:11 -04:00
test_cuda_sync_guards.py	initial commit	2026-10-20 12:09:42 +08:00
test_sampling_params.py	test: add unit tests for SamplingParams, CacheConfig, ParallelConfig, SchedulerConfig	2026-10-20 14:28:11 -04:00