diff --git a/bench/small_test.py b/bench/small_test.py new file mode 100644 index 0000000..8131faf --- /dev/null +++ b/bench/small_test.py @@ -0,0 +1,72 @@ +import argparse +import os + +from transformers import AutoTokenizer +from ssd import LLM, SamplingParams + +if __name__ == '__main__': + + llama_1b_path = '/scratch/avner/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6' + llama_70b_path = '/scratch/avner/huggingface/hub/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/6f6073b423013f6a7d4d9f39144961bfbfbc386b' + eagle_path = '/scratch/avner/huggingface/hub/models--lmsys--SGLang-EAGLE3-Llama-3.3-70B-Instruct-SpecForge/snapshots/63ebaa6585f96b89685adad8fdfa0da53be6a8fd' + # eagle_path = '/scratch/avner/huggingface/hub/models--yuhuili--EAGLE3-LLaMA3.3-Instruct-70B' + assert os.path.isdir(llama_1b_path) + assert os.path.isdir(llama_70b_path) + assert os.path.isdir(eagle_path) + + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, default=llama_1b_path) + parser.add_argument("--draft", type=str, default=llama_1b_path) + parser.add_argument("--eagle", action="store_true") + parser.add_argument("--k", type=int, default=7) + parser.add_argument("--jit-speculate", action="store_true") + parser.add_argument("--num-gpus", type=int, default=2) + parser.add_argument("--ignore-eos", action="store_true") + parser.add_argument("--chat-template", action="store_true") + parser.add_argument("--communicate-logits", action="store_true") + parser.add_argument("--communicate-cache-hits", action="store_true") + parser.add_argument("--mary", action="store_true") + parser.add_argument("--verbose", action="store_true") + args = parser.parse_args() + + if args.eagle: + args.draft = eagle_path + args.model = llama_70b_path + args.num_gpus = 5 + args.jit_speculate = True + args.chat_template = True + + llm = LLM( + model=args.model, + draft=args.draft, + use_eagle=args.eagle, + speculate_k=args.k, + speculate=True, + draft_async=True, + num_gpus=args.num_gpus, + jit_speculate=args.jit_speculate, + verbose=args.verbose, + communicate_logits=args.communicate_logits, + communicate_cache_hits=args.communicate_cache_hits, + ) + sampling_params = [SamplingParams(temperature=0.0, max_new_tokens=64, ignore_eos=args.ignore_eos)] + + if args.mary: + text = "Can you please tell me the lyrics to Mary had a little lamb, and can you repeat it 10 times?" + else: + text = "What is the capital city of France?" + if args.chat_template: + tokenizer = AutoTokenizer.from_pretrained(args.model) + tokens = tokenizer.apply_chat_template( + [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": text}], + add_generation_prompt=True, + ) + token_str = tokenizer.decode(tokens) + print(f"Generating response to prompt: '{token_str}'") + print(f"=============================================================") + outputs, _ = llm.generate([tokens], sampling_params) + + else: + outputs, _ = llm.generate([text], sampling_params) + + print(outputs[0]["text"]) diff --git a/pyproject.toml b/pyproject.toml index 41451ce..7c43d4e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,27 +12,21 @@ readme = "README.md" description = "Async tree-based speculative decoding research engine" requires-python = ">=3.11,<3.13" dependencies = [ - "torch==2.8.0", - "triton==3.4.0", + "torch==2.9.1", + "triton", "transformers==4.57.1", - "xxhash==3.5.0", - "numpy==2.3.3", - "safetensors==0.6.2", - "tqdm==4.67.1", - "flashinfer-python==0.5.2", - "sgl-kernel==0.3.17.post1", - "nvidia-cutlass-dsl==4.2.1", + "xxhash", + "numpy", + "safetensors", + "tqdm", + "flashinfer-python==0.6.6", + "sgl-kernel==0.3.21", + "nvidia-cutlass-dsl>=4.3.4", "wandb==0.22.0", "hf_transfer", "tiktoken", ] -[project.optional-dependencies] -scripts = [ - "datasets", - "huggingface_hub", -] - [project.urls] Homepage="https://github.com/tanishqkumar/ssd" diff --git a/ssd/__init__.py b/ssd/__init__.py index a748fcb..e378d5b 100644 --- a/ssd/__init__.py +++ b/ssd/__init__.py @@ -20,5 +20,7 @@ prepare_decode_tensors_from_seqs, prepare_block_tables_from_seqs, prepare_prefill_tensors_from_seqs, - prepare_prefill_payload, + PrefillRequest, + SpeculationRequest, + SpeculationResponse, ) diff --git a/ssd/config.py b/ssd/config.py index 7c61564..c031746 100644 --- a/ssd/config.py +++ b/ssd/config.py @@ -4,18 +4,19 @@ import torch from ssd.paths import DEFAULT_TARGET, DEFAULT_DRAFT + @dataclass class Config: model: str = DEFAULT_TARGET max_num_batched_tokens: int = 16384 - max_num_seqs: int = 1 - max_model_len: int = 4096 + max_num_seqs: int = 1 + max_model_len: int = 4096 gpu_memory_utilization: float = 0.7 num_gpus: int = 1 enforce_eager: bool = False hf_config: AutoConfig | None = None eos: int = -1 - kvcache_block_size: int = 256 + kvcache_block_size: int = 1 num_kvcache_blocks: int = -1 device: torch.device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu") @@ -25,13 +26,17 @@ class Config: draft: str = DEFAULT_DRAFT speculate_k: int = 1 draft_async: bool = False - + # async spec only async_fan_out: int = 3 fan_out_list: list[int] | None = None fan_out_list_miss: list[int] | None = None sampler_x: float | None = None - jit_speculate: bool = False + jit_speculate: bool = False + async_nccl_port: int | None = None + async_nccl_host: str = "127.0.0.1" + communicate_logits: bool = False + communicate_cache_hits: bool = False # eagle3 use_eagle: bool = False @@ -49,18 +54,27 @@ def max_blocks(self): return (self.max_model_len + self.kvcache_block_size - 1) // self.kvcache_block_size def __post_init__(self): - model = self.model + model = self.model assert os.path.isdir(model) assert 1 <= self.num_gpus <= 8 # this codebase only works on one node self.hf_config = AutoConfig.from_pretrained(model) - self.max_model_len = min( - self.max_model_len, self.hf_config.max_position_embeddings) - if self.speculate: + + if not self.speculate: + if self.max_model_len: + self.max_model_len = min( + self.max_model_len, self.hf_config.max_position_embeddings) + else: + self.max_model_len = self.hf_config.max_position_embeddings + else: draft = self.draft self.draft_hf_config = AutoConfig.from_pretrained(draft) - self.max_model_len = min( - self.max_model_len, self.draft_hf_config.max_position_embeddings) + if self.max_model_len: + self.max_model_len = min( + self.max_model_len, self.draft_hf_config.max_position_embeddings) + else: + self.max_model_len = self.draft_hf_config.max_position_embeddings + if self.draft_async: if self.fan_out_list is None: self.fan_out_list = [self.async_fan_out] * (self.speculate_k + 1) @@ -68,7 +82,7 @@ def __post_init__(self): if self.fan_out_list_miss is None: self.fan_out_list_miss = self.fan_out_list assert sum(self.fan_out_list_miss) == sum(self.fan_out_list), "ERROR in Config: fan_out_list_miss must be the same as fan_out_list" - + if self.use_eagle: if self.eagle_layers is None: L = self.hf_config.num_hidden_layers @@ -90,5 +104,13 @@ def __post_init__(self): if target_max_pos != draft_max_pos: print(f'[Config] Overriding eagle draft max_position_embeddings: {draft_max_pos} -> {target_max_pos}', flush=True) self.draft_hf_config.max_position_embeddings = target_max_pos - - assert self.max_num_batched_tokens >= self.max_model_len + + if self.sampler_x is not None and not self.communicate_cache_hits: + self.communicate_cache_hits = True + print(f'[Config] Setting communicate_cache_hits to True because sampler_x is not None', flush=True) + + # assert self.max_num_batched_tokens >= self.max_model_len + if self.max_num_batched_tokens < self.max_model_len: + print(f'[Config] Warning: max_num_batched_tokens ({self.max_num_batched_tokens}) is less than max_model_len ({self.max_model_len})', flush=True) + print(f'[Config] Setting max_num_batched_tokens to max_model_len', flush=True) + self.max_num_batched_tokens = self.max_model_len diff --git a/ssd/engine/block_manager.py b/ssd/engine/block_manager.py index 1b28ca8..0f68028 100644 --- a/ssd/engine/block_manager.py +++ b/ssd/engine/block_manager.py @@ -90,6 +90,11 @@ def _deallocate_n_blocks(self, block_ids: list[int]): # we need to separate wher def _deallocate_block(self, block_id: int) -> Block: assert self.blocks[block_id].ref_count == 0 + + if self.blocks[block_id].hash != -1: # if block was finalized, remove from hash_to_block_id checkme + if self.hash_to_block_id.get(self.blocks[block_id].hash) == block_id: + del self.hash_to_block_id[self.blocks[block_id].hash] + self.used_block_ids.remove(block_id) self.free_block_ids.append(block_id) diff --git a/ssd/engine/draft_runner.py b/ssd/engine/draft_runner.py index bf1c6c9..afb1af0 100644 --- a/ssd/engine/draft_runner.py +++ b/ssd/engine/draft_runner.py @@ -1,5 +1,6 @@ import os import time +from datetime import datetime import torch import torch.distributed as dist import dataclasses @@ -7,11 +8,18 @@ from ssd.engine.model_runner import ModelRunner from ssd.config import Config from ssd.utils.context import set_context, reset_context +from ssd.utils.misc import compress_neg_ones_and_zeros from ssd.utils.async_helpers.async_spec_helpers import get_forked_recovery_tokens_from_logits, make_glue_decode_input_ids -from ssd.utils.async_helpers.nccl_pack import recv_int64 from ssd.engine.helpers.cudagraph_helpers import flush_draft_profile +from ssd.engine.helpers.runner_helpers import PrefillRequest, SpeculationRequest, SpeculationResponse, COMMAND PROFILE_DRAFT = os.environ.get("SSD_PROFILE_DRAFT", "0") == "1" +NCCL_LOG = os.environ.get("SSD_NCCL_LOG", "0") == "1" +BRIEF_LOG = os.environ.get("SSD_BRIEF_LOG", "0") == "1" + +def _ts(): + return f'{datetime.now().strftime('%H:%M:%S.%f')[:-3]}' + ttl = 0 ttl_hit = 0 @@ -27,15 +35,20 @@ def create_draft_config(cls, cfg: Config) -> Config: gpu_memory_utilization = (0.75 if not cfg.draft_async else 0.8), # REMAINING SPACE if not draft_async tokenizer_path=cfg.model if cfg.use_eagle else None, d_model_target=cfg.hf_config.hidden_size if cfg.use_eagle and cfg.hf_config else None, - enforce_eager=cfg.enforce_eager, ) return draft_cfg - def __init__(self, cfg: Config, rank: int = 0, init_q = None): - self.draft_cfg = self.create_draft_config(cfg) + def __init__(self, draft_cfg: Config, rank: int = 0, init_q = None): + print(f'[DraftRunner.__init__] draft_cfg={draft_cfg}', flush=True) + self.draft_cfg = draft_cfg self.is_draft = True # this is is_draft, use self.config.draft for the draft model path self.prev_num_tokens = None super().__init__(self.draft_cfg, rank=rank, event=None, is_draft=True, num_tp_gpus=1, init_q=init_q) + self._prefill_metadata = torch.empty(5, dtype=torch.int64, device=self.device) + self._decode_metadata = torch.empty(4, dtype=torch.int64, device=self.device) + self.target_rank = 0 + self.communicate_logits = self.config.communicate_logits + self.communicate_cache_hits = self.config.communicate_cache_hits if self.config.use_eagle: assert self.config.jit_speculate, \ @@ -45,39 +58,42 @@ def __init__(self, cfg: Config, rank: int = 0, init_q = None): self._reset_tree_cache_tensors() self._init_prealloc_buffers() self._draft_step_times = [] - print(f'DraftRunner set up, starting draft_loop', flush=True) + print(f'[{_ts()}] DraftRunner set up, starting draft_loop', flush=True) self.draft_loop() def draft_async_prefill(self): assert self.draft_async and self.is_draft - # 1) Receive metadata then individual tensors - # First recv metadata to learn sizes - metadata = torch.zeros(5, dtype=torch.int64, device=self.device) - dist.recv(metadata, src=0, group=self.async_pg) - total_new_tokens, batch_size, max_blocks, use_eagle, eagle_act_dim = metadata.tolist() - if use_eagle: - assert eagle_act_dim == 3 * self.config.d_model_target, ( - f"EAGLE activation dimension {eagle_act_dim} does not match expected dimension 3 * {self.config.d_model_target}" - ) + if self.config.verbose: + print(f'[{_ts()}] [draft_async_prefill] DRAFT ASYNC PREFILL STARTING', flush=True) + + prefill_request = PrefillRequest.receive(self.async_pg, self.target_rank, self.device, metadata_buffer=self._prefill_metadata, tokenizer=self.tokenizer) + total_new_tokens, batch_size, max_blocks, use_eagle, eagle_act_dim = prefill_request.metadata.tolist() + input_ids = prefill_request.input_ids + num_tokens = prefill_request.num_tokens + draft_block_table = prefill_request.draft_block_table + eagle_acts = prefill_request.eagle_acts + + if NCCL_LOG: + sep = '=' * 80 + print(f"[{_ts()}] \n{sep}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_PREFILL] input_ids shape={input_ids.shape}, values={input_ids.tolist()}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_PREFILL] input_ids decoded='{self.tokenizer.decode(input_ids.cpu().tolist())}'", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_PREFILL] num_tokens={num_tokens.tolist()}", flush=True) + draft_block_table_values_str = compress_neg_ones_and_zeros(f"{draft_block_table.tolist()}") + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_PREFILL] draft_block_table shape={draft_block_table.shape}, values={draft_block_table_values_str}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_PREFILL] eagle_acts={'None' if eagle_acts is None else f'shape={eagle_acts.shape}'}", flush=True) + print(f"[{_ts()}] {sep}\n", flush=True) - # 2) receive fused int64 payload (input_ids + num_tokens + draft_block_table) - fused_total = total_new_tokens + batch_size + batch_size * max_blocks - fused = recv_int64(self.async_pg, src=0, total_length=fused_total, device=self.device) - off = 0 - input_ids = fused[off:off + total_new_tokens]; off += total_new_tokens - num_tokens = fused[off:off + batch_size]; off += batch_size - draft_block_table = fused[off:off + batch_size * max_blocks].view(batch_size, max_blocks).to(torch.int32); off += batch_size * max_blocks - assert off == fused_total + prefill_ctxt = self.prepare_prefill_ctxt(num_tokens, draft_block_table) - eagle_acts = None if use_eagle: - eagle_acts = torch.zeros( - total_new_tokens, eagle_act_dim, dtype=self.hf_config.torch_dtype, device=self.device, + assert eagle_act_dim == 3 * self.config.d_model_target, ( + f"EAGLE activation dimension {eagle_act_dim} does not match expected dimension 3 * {self.config.d_model_target}" ) - dist.recv(eagle_acts, src=0, group=self.async_pg) + if self.config.verbose: + print(f'[{_ts()}] [draft_async_prefill] METADATA: total_new_tokens={total_new_tokens}, batch_size={batch_size}, max_blocks={max_blocks}, use_eagle={use_eagle}, eagle_act_dim={eagle_act_dim}', flush=True) - prefill_ctxt = self.prepare_prefill_ctxt(num_tokens, draft_block_table) # 5) set up context exactly like prepare_prefill() does: set_context( @@ -97,14 +113,22 @@ def draft_async_prefill(self): else: self.run_model(input_ids, positions, is_prefill=True, last_only=True, hidden_states=eagle_acts) + if self.config.verbose: + print(f'[{_ts()}] [draft_async_prefill] DRAFT ASYNC PREFILL DONE', flush=True) + # --- KV cache diagnostic --- + kv = self.kv_cache # [2, layers, blocks, block_size, heads, dim] + prefill_slots = prefill_ctxt["slot_map"].long() + k_norm = kv[0, 0, prefill_slots, 0, :, :].norm().item() + v_norm = kv[1, 0, prefill_slots, 0, :, :].norm().item() + print(f'[{_ts()}] [KV_CACHE] After prefill: K norm at slots {prefill_slots.tolist()} = {k_norm:.4f}, V norm = {v_norm:.4f}', flush=True) + # 7) clean up reset_context() def _reset_tree_cache_tensors(self): """Reset tensor-backed tree cache to empty.""" # initialize as empty keys on correct device; tokens/logits set to None until first populate - self.tree_cache_keys = torch.zeros( - (0, 3), dtype=torch.int64, device=self.device) + self.tree_cache_keys = torch.empty(0, 3, dtype=torch.int64, device=self.device) self.tree_cache_tokens = None self.tree_cache_logits = None self.tree_cache_activations = None @@ -121,14 +145,16 @@ def _init_prealloc_buffers(self): self._arange_kp1 = torch.arange(K + 1, device=d, dtype=torch.int64) self._arange_2kp1 = torch.arange(2 * K + 1, device=d, dtype=torch.int64) - def jit_speculate(self, - request_keys: torch.Tensor, - num_tokens: torch.Tensor, - out_logits: torch.Tensor, - out_tokens: torch.Tensor, - temperatures: torch.Tensor, - draft_block_tables: torch.Tensor, - target_recovery_activations: torch.Tensor = None): + def jit_speculate( + self, + request_keys: torch.Tensor, + num_tokens: torch.Tensor, + out_logits: torch.Tensor, + out_tokens: torch.Tensor, + temperatures: torch.Tensor, + draft_block_tables: torch.Tensor, + target_recovery_activations: torch.Tensor = None, + ): input_ids = request_keys[:, -1] pos_offset = -1 if self.config.use_eagle else 0 @@ -166,7 +192,7 @@ def jit_speculate(self, hidden_states = prenorm else: logits = self.run_model(input_ids, positions, is_prefill=False, last_only=True) - + out_logits[:, i, :] = logits reset_context() next_tokens = self.sampler(logits, temperatures, is_tree=True) @@ -183,21 +209,21 @@ def jit_speculate(self, return spec_activations - def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, draft_block_tables, target_recovery_activations=None): + def hit_cache(self, request_keys, B, K, num_tokens, temperatures, draft_block_tables, target_recovery_activations=None): """Hits the cache (tensor-backed) and returns tensors to respond to the spec request.""" global ttl, ttl_hit # Draft model now returns full target vocab size logits (after d2t expansion) V = self.hf_config.vocab_size # Init miss slots with valid random logits so token IDs are in-vocab (fixes B>1 crash) - out_logits = torch.empty((B, K, V), dtype=self.hf_config.torch_dtype, device=self.device).uniform_() + out_logits = torch.empty(B, K, V, dtype=self.hf_config.torch_dtype, device=self.device).uniform_() out_tokens = out_logits.argmax(dim=-1) cache_hits = torch.zeros(B, dtype=torch.int64, device=self.device) - assert request_keys.shape == (B, 3), f"ERROR in hit_cache_and_respond: request_keys should be (B, 3), got {request_keys.shape}" + assert request_keys.shape == (B, 3), f"ERROR in hit_cache: request_keys should be (B, 3), got {request_keys.shape}" hidden_size = self.hf_config.hidden_size - out_activations = torch.zeros( + out_activations = torch.empty( B, K, hidden_size, dtype=self.hf_config.torch_dtype, device=self.device ) if self.config.use_eagle else None @@ -206,11 +232,11 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr ttl += int(B) if self.config.verbose: - print(f"[hit_cache_and_respond] Request keys: {request_keys}", flush=True) + print(f"[{_ts()}] [hit_cache] Request keys: {request_keys}", flush=True) for i in range(B): rec_token = request_keys[i, 2].item() rec_text = self.tokenizer.decode([rec_token]) - print(f" Req {i}: token={rec_token} ('{rec_text}')", flush=True) + print(f"[{_ts()}] Req {i}: token={rec_token} ('{rec_text}')", flush=True) if self.tree_cache_keys.numel() > 0: # Vectorized membership against tensor cache @@ -220,8 +246,8 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr ttl_hit += int(cache_hits.sum().item()) if self.config.verbose: - print(f"[hit_cache_and_respond] Cache hits: {cache_hits.sum().item()}/{B}", flush=True) - print(f"[hit_cache_and_respond] Cache: {self.tree_cache_keys.shape[0]} entries", flush=True) + print(f"[{_ts()}] [hit_cache] Cache hits: {cache_hits.sum().item()}/{B}", flush=True) + print(f"[{_ts()}] [hit_cache] Cache: {self.tree_cache_keys.shape[0]} entries", flush=True) # Build set of hit cache indices for marking hit_indices = set() @@ -236,11 +262,11 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr seq_id, k_idx, rec_token = key.tolist() rec_text = self.tokenizer.decode([rec_token]) hit_marker = "[HIT]" if i in hit_indices else "" - print(f" [{i}]: key=({seq_id}, {k_idx}, {rec_token}) -> value=('{rec_text}') {hit_marker}", flush=True) + print(f"[{_ts()}] [{i}]: key=({seq_id}, {k_idx}, {rec_token}) -> value=('{rec_text}') {hit_marker}", flush=True) # Fill hits if (cache_hits.any() and not self.config.jit_speculate) or (cache_hits.all() and self.config.jit_speculate): - # print(f'[hit_cache_and_respond] got all cache hits, using cached logits and tokens', flush=True) + # print(f'[hit_cache] got all cache hits, using cached logits and tokens', flush=True) # [B], arbitrary if no match but masked out idx = match.float().argmax(dim=1).to(torch.int64) sel = cache_hits @@ -251,9 +277,9 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr if self.config.use_eagle: out_activations[sel] = self.tree_cache_activations[idx[sel]] elif self.config.jit_speculate: - # print(f'[hit_cache_and_respond] found a cache miss, running jit speculate', flush=True) + # print(f'[hit_cache] found a cache miss, running jit speculate', flush=True) if self.config.verbose: - print(f"[hit_cache_and_respond] Running JIT speculate for cache misses", flush=True) + print(f"[{_ts()}] [hit_cache] Running JIT speculate for cache misses", flush=True) jit_acts = self.jit_speculate( request_keys, num_tokens, @@ -268,7 +294,7 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr elif self.config.jit_speculate: # Cache is empty (first iteration), must JIT all if self.config.verbose: - print(f"[hit_cache_and_respond] Cache empty, running JIT speculate for all", flush=True) + print(f"[{_ts()}] [hit_cache] Cache empty, running JIT speculate for all", flush=True) jit_acts = self.jit_speculate( request_keys, num_tokens, @@ -282,99 +308,80 @@ def hit_cache_and_respond(self, request_keys, B, K, num_tokens, temperatures, dr out_activations = jit_acts rec_toks = request_keys[:, 2] - + + if self.config.verbose: + print(f"[{_ts()}] [CACHE RESPONSE]", flush=True) + for i in range(B): + hit_status = "HIT" if cache_hits[i].item() == 1 else "MISS" + print(f"[{_ts()}] Seq {request_keys[i, 0].item()}: {hit_status}", flush=True) + if cache_hits[i].item() == 1 or self.config.jit_speculate: + tokens_list = out_tokens[i, :K].tolist() + tokens_text = [self.tokenizer.decode([t]) for t in tokens_list] + print(f"[{_ts()}] Tokens: {tokens_list}", flush=True) + print(f"[{_ts()}] Detokenized: {tokens_text}", flush=True) + print(f"[{_ts()}] ", flush=True) + return out_tokens, out_logits, make_glue_decode_input_ids(out_tokens, rec_toks), cache_hits, out_activations def _service_spec_request(self): """Receives a speculation request, serves it from cache, and sends results back in a single response.""" - meta = self.recv_tensor((3,), torch.int64) - B, K, F = meta.tolist() - - # Receive all request payload in one fused int64 burst (includes temperatures encoded as int64) - max_blocks = self.config.max_blocks - fused_total = (3 * B) + B + (B * max_blocks) + B # +B for temps_as_int64 - fused_req = recv_int64(self.async_pg, src=0, - total_length=fused_total, device=self.device) - off = 0 - cache_keys = fused_req[off:off + (3 * B)].view(B, 3) - off += 3 * B - seq_ids = cache_keys[:, 0] - num_tokens = fused_req[off:off + B].to(torch.int64) - off += B - draft_block_tables = fused_req[off:off + B * - max_blocks].view(B, max_blocks).to(torch.int32) - off += B * max_blocks - temps_as_int64 = fused_req[off:off + B] - off += B - assert off == fused_total - temperatures = temps_as_int64.to(torch.int32).view(torch.float32) - - target_recovery_activations = torch.zeros( - B, 3 * self.config.d_model_target, dtype=self.hf_config.torch_dtype, device=self.device - ) if self.config.use_eagle else None - - extend_counts = None - extend_eagle_acts = None - extend_token_ids = None - - if self.config.use_eagle: - dist.recv(target_recovery_activations, src=0, group=self.async_pg) - - # Receive extend data for fused glue decode - act_dim = 3 * self.config.d_model_target - extend_counts = torch.zeros(B, dtype=torch.int64, device=self.device) - extend_eagle_acts = torch.zeros(B, K, act_dim, dtype=self.hf_config.torch_dtype, device=self.device) - extend_token_ids = torch.zeros(B, K, dtype=torch.int64, device=self.device) - dist.recv(extend_counts, src=0, group=self.async_pg) - dist.recv(extend_eagle_acts, src=0, group=self.async_pg) - dist.recv(extend_token_ids, src=0, group=self.async_pg) + speculation_request = SpeculationRequest.receive( + async_pg=self.async_pg, + target_rank=self.target_rank, + device=self.device, + draft_dtype=self.hf_config.torch_dtype, + tokenizer=self.tokenizer, + verbose=self.config.verbose, + ) - if self.config.verbose: - recovery_tokens_target = cache_keys[:, 2].clone() - print(f"\n{'='*80}", flush=True) - print(f"[CACHE REQUEST] Batch size: {B}, Spec depth: {K}", flush=True) - for i in range(B): - seq_id = cache_keys[i, 0].item() - keep_idx = cache_keys[i, 1].item() - rec_token_target = recovery_tokens_target[i].item() - rec_token_text = self.tokenizer.decode([rec_token_target]) - n_ext = extend_counts[i].item() - print(f" Seq {seq_id}: keep_idx={keep_idx}, recovery_token={rec_token_target} ('{rec_token_text}'), n_ext={n_ext}", flush=True) - print(f"{'='*80}\n", flush=True) - - out_tokens, out_logits, glue_decode_input_ids, cache_hits, out_activations = self.hit_cache_and_respond( + B, K, _, _, _ = speculation_request.metadata.tolist() + cache_keys, num_tokens, draft_block_tables, temperatures, target_recovery_activations = ( + speculation_request.cache_keys, + speculation_request.num_tokens, + speculation_request.block_tables, + speculation_request.temps, + speculation_request.recovery_activations, + ) + out_tokens, out_logits, glue_decode_input_ids, cache_hits, out_activations = self.hit_cache( cache_keys, B, K, num_tokens, temperatures, draft_block_tables, target_recovery_activations) - if self.config.verbose: - print(f"[CACHE RESPONSE]", flush=True) + speculation_response = SpeculationResponse( + speculations=out_tokens.reshape(-1).to(torch.int64), + cache_hits=cache_hits.reshape(-1) if self.communicate_cache_hits else None, + logits_q=out_logits[:, :K, :].contiguous() if self.communicate_logits else None, + ) + if BRIEF_LOG: for i in range(B): - hit_status = "HIT" if cache_hits[i].item() == 1 else "MISS" - print(f" Seq {cache_keys[i, 0].item()}: {hit_status}", flush=True) - if cache_hits[i].item() == 1 or self.config.jit_speculate: - tokens_list = out_tokens[i, :K].tolist() - tokens_text = [self.tokenizer.decode([t]) for t in tokens_list] - print(f" Tokens: {tokens_list}", flush=True) - print(f" Detokenized: {tokens_text}", flush=True) - print(f"", flush=True) + cache_hit = cache_hits[i].item() + # We pretend we are actually sending it, for clarify in debugging. + cache_hit_text = "HIT" if cache_hit == 1 else "MISS" + print(f"[{_ts()}] [SpeculationResponse.send] req[{i}]: CACHE {cache_hit_text}", flush=True) + + speculation_response.send(self.async_pg, self.target_rank, tokenizer=self.tokenizer) - fused_response = torch.cat([cache_hits.reshape(-1), out_tokens.reshape(-1).to(torch.int64)]) - dist.send(fused_response, dst=0, group=self.async_pg) - dist.send(out_logits[:, :K, :].contiguous(), dst=0, group=self.async_pg) + if NCCL_LOG: + sep = '=' * 80 + print(f"[{_ts()}] \n{sep}", flush=True) + for i in range(B): + spec_ids = out_tokens[i, :K].tolist() + spec_text = [self.tokenizer.decode([t]) for t in spec_ids] + print(f"[{_ts()}] req[{i}]: speculations={spec_ids}", flush=True) + print(f"[{_ts()}] decoded={spec_text}", flush=True) + print(f"[{_ts()}] {sep}\n", flush=True) partial_tree_decode_args = { "num_tokens": num_tokens, - "seq_ids": seq_ids, + "seq_ids": speculation_request.cache_keys[:, 0], "temperatures": temperatures, "dbt": draft_block_tables, "cache_hits": cache_hits, "returned_tokens": out_tokens, "target_recovery_activations": target_recovery_activations, "previous_activations": out_activations, - "extend_counts": extend_counts, - "extend_eagle_acts": extend_eagle_acts, - "extend_token_ids": extend_token_ids, + "extend_counts": speculation_request.extend_counts, + "extend_eagle_acts": speculation_request.extend_activations, + "extend_token_ids": speculation_request.extend_token_ids, } - return glue_decode_input_ids, partial_tree_decode_args def prepare_prefill_ctxt( @@ -529,7 +536,7 @@ def _construct_tree_decode_args(self, partial_tree_decode_args, rec_flat, dbt): def _build_tree_batch(self, partial_tree_decode_args, glue_decode_input_ids): if self.config.verbose: - print(f'about to build tree batch') + print(f'[{_ts()}] about to build tree batch') K = self.config.speculate_k dbt = partial_tree_decode_args["dbt"] cache_hits = partial_tree_decode_args["cache_hits"] @@ -559,8 +566,8 @@ def _build_tree_batch(self, partial_tree_decode_args, glue_decode_input_ids): total_real = int(cu_seqlens_q[-1].item()) # Build packed fused_ids and fused_hs (no padding, no for loops) - fused_ids = torch.zeros(total_real, dtype=torch.int64, device=self.device) - fused_hs = torch.zeros(total_real, hidden_size, dtype=self.hf_config.torch_dtype, device=self.device) + fused_ids = torch.empty(total_real, dtype=torch.int64, device=self.device) + fused_hs = torch.empty(total_real, hidden_size, dtype=self.hf_config.torch_dtype, device=self.device) # Per-token batch index and local offset batch_idx = torch.repeat_interleave(torch.arange(B, device=self.device), seqlens_q) @@ -646,6 +653,12 @@ def _build_tree_batch(self, partial_tree_decode_args, glue_decode_input_ids): glue_decode_ctxt["input_ids"], glue_decode_ctxt["positions"], is_prefill=False, last_only=False) + if self.config.verbose: + print(f"[{_ts()}] [GLUE DECODE] logits shape={glue_decode_logits_flat.shape}, " + f"max={glue_decode_logits_flat.max().item():.4f}, " + f"min={glue_decode_logits_flat.min().item():.4f}, " + f"mean={glue_decode_logits_flat.mean().item():.6f}", flush=True) + reset_context() # --- Extract K+1 logits/prenorms at rec+spec positions --- @@ -767,12 +780,12 @@ def _decode_tree(self, payload): B, K, F, N = payload["metadata_ints"] V = self.hf_config.vocab_size # Draft returns full target vocab size after d2t expansion - spec_tokens = torch.zeros( - (N, K), dtype=torch.int64, device=self.device) - spec_logits = torch.zeros( - (N, K, V), dtype=self.hf_config.torch_dtype, device=self.device) - spec_activations = torch.zeros( - (N, K, self.hf_config.hidden_size), + spec_tokens = torch.empty( + N, K, dtype=torch.int64, device=self.device) + spec_logits = torch.empty( + N, K, V, dtype=self.hf_config.torch_dtype, device=self.device) + spec_activations = torch.empty( + N, K, self.hf_config.hidden_size, dtype=self.hf_config.torch_dtype, device=self.device ) if self.config.use_eagle else None @@ -804,10 +817,10 @@ def _decode_tree(self, payload): _et = time.perf_counter() _step_times.append((_et - _st) * 1000) if _prof: - print(f"[PROFILE draft] tree_step[{depth}]={_step_times[-1]:.2f}ms", flush=True) + print(f"[{_ts()}] [PROFILE draft] tree_step[{depth}]={_step_times[-1]:.2f}ms", flush=True) if PROFILE_DRAFT and _step_times: avg = sum(_step_times) / len(_step_times) - print(f"[PROFILE draft] tree_decode: K={K} steps={' '.join(f'{t:.2f}' for t in _step_times)} avg={avg:.2f}ms total={sum(_step_times):.2f}ms", flush=True) + print(f"[{_ts()}] [PROFILE draft] tree_decode: K={K} steps={' '.join(f'{t:.2f}' for t in _step_times)} avg={avg:.2f}ms total={sum(_step_times):.2f}ms", flush=True) return spec_tokens, spec_logits, spec_activations @@ -832,8 +845,8 @@ def _populate_tree_cache(self, payload, tokens, logits, cache_hits, activations= # Print cache population details if self.config.verbose: N = keys.shape[0] - print(f"\n{'='*80}", flush=True) - print(f"[CACHE POPULATED] {N} entries", flush=True) + print(f"[{_ts()}] \n{'='*80}", flush=True) + print(f"[{_ts()}] [CACHE POPULATED] {N} entries", flush=True) # Show sample entries per sequence for seq_id in keys[:, 0].unique()[:1]: # Just show first sequence @@ -841,7 +854,7 @@ def _populate_tree_cache(self, payload, tokens, logits, cache_hits, activations= seq_entries = keys[seq_mask] seq_tokens = tokens[seq_mask] - print(f" Seq {seq_id.item()}: {seq_mask.sum().item()} entries", flush=True) + print(f"[{_ts()}] Seq {seq_id.item()}: {seq_mask.sum().item()} entries", flush=True) # Show first 2 unique recovery tokens for rec_token in seq_entries[:, 2].unique()[:2]: @@ -853,28 +866,51 @@ def _populate_tree_cache(self, payload, tokens, logits, cache_hits, activations= rec_text = self.tokenizer.decode([rec_token.item()]) spec_tokens = seq_tokens[idx].tolist() spec_text = [self.tokenizer.decode([t]) for t in spec_tokens] - print(f" k={k_idx}, rec={rec_token.item()} ('{rec_text}') -> {spec_text}", flush=True) - print(f"{'='*80}\n", flush=True) + print(f"[{_ts()}] k={k_idx}, rec={rec_token.item()} ('{rec_text}') -> {spec_text}", flush=True) + print(f"[{_ts()}] {'='*80}\n", flush=True) + + def _start_interrupt_listener(self): + """Initiates a non-blocking receive for the next command to allow interruption.""" + cmd_tensor = torch.empty(1, dtype=torch.int64, device=self.device) + work_handle = dist.irecv(cmd_tensor, src=0, group=self.async_pg) + # return both the handle and its tensor buffer + return work_handle, cmd_tensor + # new one, with true asynchrony def draft_loop(self): """ Runs the asynchronous draft model loop. Handles three commands: - 1 = prefill, 0 = spec request, 2 = exit. + 1 = prefill, 0 = spec request, 2 = exit, 3 = branch prefetch (only after a spec request). """ assert self.draft_async, "draft_loop only runs in async-draft mode" + try: + self._draft_loop_inner() + except (torch.distributed.DistBackendError, RuntimeError) as e: + err = str(e) + if "closed" in err or "Connection" in err or "NCCL" in err: + print(f"[{_ts()}] [draft] Target disconnected, shutting down gracefully.", flush=True) + self.exit() + return + print(f"[{_ts()}] [draft] Error in draft_loop: {e}", flush=True) + raise e + except Exception as e: + print(f"[{_ts()}] [draft] Error in draft_loop: {e}", flush=True) + raise e + + def _draft_loop_inner(self): while True: # 1) Wait for the next command (may be PREFILL, SPEC_REQUEST, or EXIT) - cmd = self.recv_cmd() + cmd, _ = self._wait_for_cmd() # PREFILL: run the draft prefill and then loop back - if cmd == 1: + if cmd == COMMAND.PREFILL: self.draft_async_prefill() continue # SPECULATE request: serve out-of-cache or random speculations - elif cmd == 0: + elif cmd == COMMAND.SPECULATION: _ds0 = time.perf_counter() _prof = os.environ.get("SSD_PROFILE", "0") == "1" if _prof or PROFILE_DRAFT: @@ -909,7 +945,7 @@ def draft_loop(self): if _prof or PROFILE_DRAFT: torch.cuda.synchronize() _d4 = time.perf_counter() - print(f"[PROFILE draft] service={(_d1-_d0)*1000:.2f}ms build_tree={(_d2-_d1)*1000:.2f}ms decode_tree={(_d3-_d2)*1000:.2f}ms populate={(_d4-_d3)*1000:.2f}ms total={(_d4-_d0)*1000:.2f}ms", flush=True) + print(f"[{_ts()}] [PROFILE draft] service={(_d1-_d0)*1000:.2f}ms build_tree={(_d2-_d1)*1000:.2f}ms decode_tree={(_d3-_d2)*1000:.2f}ms populate={(_d4-_d3)*1000:.2f}ms total={(_d4-_d0)*1000:.2f}ms", flush=True) if PROFILE_DRAFT: flush_draft_profile() @@ -917,10 +953,10 @@ def draft_loop(self): continue # EXIT: clean up and break out of the loop - elif cmd == 2: + elif cmd == COMMAND.DRAFT_EXIT: if self._draft_step_times: avg_ms = sum(self._draft_step_times) * 1000 / len(self._draft_step_times) - print(f"[metrics] Avg draft step time (ms): {avg_ms:.2f}", flush=True) + print(f"[{_ts()}] [metrics] Avg draft step time (ms): {avg_ms:.2f}", flush=True) self.exit() break diff --git a/ssd/engine/helpers/cudagraph_helpers.py b/ssd/engine/helpers/cudagraph_helpers.py index e347b39..6c38eed 100644 --- a/ssd/engine/helpers/cudagraph_helpers.py +++ b/ssd/engine/helpers/cudagraph_helpers.py @@ -1,9 +1,9 @@ import os +import math import torch import numpy as np -from typing import List + from ssd.utils.context import set_context, get_context, reset_context -from ssd.engine.helpers.mask_helpers import get_custom_mask from time import perf_counter @@ -78,7 +78,7 @@ def run_verify_cudagraph(model_runner, input_ids, positions, last_only, graph_va torch.cuda.synchronize() _t2 = perf_counter() has_eagle = "eagle_acts" in graph_vars - print(f"[PROFILE verify_cg] replay={(_t1-_t0)*1000:.2f}ms logits={(_t2-_t1)*1000:.2f}ms eagle={has_eagle} bs={orig_bs} rank={model_runner.rank}", flush=True) + print(f"[cuda_graph_helpers.run_verify_cudagraph][PROFILE verify_cg] replay={(_t1-_t0)*1000:.2f}ms logits={(_t2-_t1)*1000:.2f}ms eagle={has_eagle} bs={orig_bs} rank={model_runner.rank}", flush=True) # For eagle target, also return eagle_acts if "eagle_acts" in graph_vars: @@ -144,7 +144,7 @@ def flush_draft_profile(): detail = " ".join(f"{l}={t:.2f}" for l, t in by_step[step]) parts.append(f"s{step}={step_total:.2f}({detail})") total += step_total - print(f"[PROFILE draft_detail] K={len(by_step)} total={total:.2f}ms avg_step={total/len(by_step):.2f}ms | {' '.join(parts)}", flush=True) + print(f"[cuda_graph_helpers.flush_draft_profile][PROFILE draft_detail] K={len(by_step)} total={total:.2f}ms avg_step={total/len(by_step):.2f}ms | {' '.join(parts)}", flush=True) _draft_events.clear() @torch.inference_mode() @@ -373,7 +373,7 @@ def run_fi_tree_decode_cudagraph(model_runner, input_ids, positions, last_only, False, -1, ] if wrapper._backend == "fa2": - plan_args.extend([-1, False]) + plan_args.extend([-1, False, 0]) # fixed_split_size, disable_split_kv, num_colocated_ctas wrapper._plan_info = wrapper._cached_module.plan(*plan_args) if PROFILE_DRAFT: @@ -425,7 +425,7 @@ def run_fi_tree_decode_cudagraph(model_runner, input_ids, positions, last_only, logits_all = graph_vars["logits"][:flat_batch_size] if PROFILE: - print(f"[run_fi_tree_decode_cudagraph] step {step}: precompute={precompute_time:.3f}ms, plan={plan_time:.3f}ms, buffer={buffer_prep_time:.3f}ms, replay={replay_time:.3f}ms", flush=True) + print(f"[cuda_graph_helpers.run_fi_tree_decode_cudagraph] step {step}: precompute={precompute_time:.3f}ms, plan={plan_time:.3f}ms, buffer={buffer_prep_time:.3f}ms, replay={replay_time:.3f}ms", flush=True) logits_out = logits_all[:orig_flat] # EAGLE draft: also return prenorm (outputs) for self-conditioning @@ -491,7 +491,10 @@ def capture_cudagraph(model_runner): hidden_states = torch.zeros(max_bs, hf_config.hidden_size, dtype=hf_config.torch_dtype, device=input_ids.device) - for bs in reversed(graph_bs_list): + total_graphs = len(graph_bs_list) + print(f'[capture_cudagraph] Starting capture of {total_graphs} graphs, bs list: {graph_bs_list[:5]}...{graph_bs_list[-3:]} max_bs={max_bs}', flush=True) + for idx, bs in enumerate(reversed(graph_bs_list)): + print(f'[capture_cudagraph] Capturing graph {idx+1}/{total_graphs}, bs={bs}', flush=True) graph = torch.cuda.CUDAGraph() set_context( False, slot_mapping=slot_mapping[:bs], context_lens=context_lens[:bs], block_tables=block_tables[:bs], is_jit=is_jit) @@ -721,7 +724,7 @@ def capture_glue_decode_cudagraph(model_runner): graphs = {} graph_pool = None - print(f'[capture_glue_decode_cudagraph] Capturing for bs={graph_bs_list}', flush=True) + print(f'[cuda_graph_helpers.capture_glue_decode_cudagraph] Capturing for bs={graph_bs_list}', flush=True) for bs in reversed(graph_bs_list): graph = torch.cuda.CUDAGraph() @@ -814,7 +817,7 @@ def capture_fi_tree_decode_cudagraph(model_runner): fi_hidden_states = torch.zeros(max_flat_batch_size, hf_config.hidden_size, dtype=hf_config.torch_dtype, device=model_runner.device) - print(f'About to capture FI cudagraphs for bs={graph_bs_list}', flush=True) + print(f'[cuda_graph_helpers.capture_fi_tree_decode_cudagraph] About to capture FI cudagraphs for bs={graph_bs_list}', flush=True) for bs in reversed(graph_bs_list): graph = torch.cuda.CUDAGraph() @@ -850,8 +853,8 @@ def capture_fi_tree_decode_cudagraph(model_runner): hf_config.head_dim, model_runner.block_size, custom_mask=custom_mask, - q_data_type=torch.bfloat16, - kv_data_type=torch.bfloat16, + q_data_type=hf_config.torch_dtype, + kv_data_type=hf_config.torch_dtype, ) # Set minimal context needed for run diff --git a/ssd/engine/helpers/runner_helpers.py b/ssd/engine/helpers/runner_helpers.py index 8ad0804..46ed894 100644 --- a/ssd/engine/helpers/runner_helpers.py +++ b/ssd/engine/helpers/runner_helpers.py @@ -1,51 +1,583 @@ +from datetime import datetime +from dataclasses import dataclass +import os +import enum import torch import torch.distributed as dist +from transformers import AutoTokenizer from ssd.engine.sequence import Sequence +from ssd.utils.misc import compress_neg_ones_and_zeros -def prepare_prefill_payload( - input_id_list: list[list[int]], - eagle_acts: torch.Tensor, - device: torch.device, - max_blocks: int, - draft_block_tables: list[list[int]] | torch.Tensor, -) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: - input_ids_flat = [] - num_tokens = [] - for input_ids in input_id_list: - input_ids_flat.extend(input_ids) - num_tokens.append(len(input_ids)) - input_ids_flat = torch.tensor(input_ids_flat, dtype=torch.int64, device=device) - num_tokens = torch.tensor(num_tokens, dtype=torch.int64, device=device) - if isinstance(draft_block_tables, list): - draft_block_table = torch.tensor( - [dbt + [-1] * (max_blocks - len(dbt)) for dbt in draft_block_tables], - dtype=torch.int32, device=device, - ) +NCCL_LOG = os.environ.get("SSD_NCCL_LOG", "0") == "1" +BRIEF_LOG = os.environ.get("SSD_BRIEF_LOG", "0") == "1" +DUMP_TENSORS_DIR = os.environ.get("SSD_DUMP_TENSORS_DIR", "") +RUN_NAME = os.environ.get("SSD_RUN_NAME", "") + +def _ts(): + return datetime.now().strftime('%H:%M:%S.%f')[:-3] + +def _dump_ts(): + if RUN_NAME: + return RUN_NAME + else: + return datetime.now().strftime('%H_%M_%S.%f')[:-4] + +if DUMP_TENSORS_DIR: + print(f"[{_ts()}] BANANA: Dumping tensors to {DUMP_TENSORS_DIR}") + os.makedirs(DUMP_TENSORS_DIR, exist_ok=True) + DUMP_TENSORS = True + +def list_to_str(lst: list[float] | list[list[float]], num_decimals: int = 4) -> str: + assert len(lst) > 0 + if isinstance(lst[0], float): + return str([round(v, 4) for v in lst]) else: - assert draft_block_tables.shape == (len(input_id_list), max_blocks), ( - f"draft_block_tables shape mismatch: expected ({len(input_id_list), max_blocks}), got {draft_block_tables.shape}" + assert isinstance(lst[0], list) + return str([[round(v, 4) for v in row] for row in lst]) + + +@enum.unique +class COMMAND(enum.IntEnum): + PREFILL = 0 + SPECULATION = 1 + DRAFT_EXIT = 2 + + +@dataclass +class PrefillRequest: + cmd: torch.Tensor | None + metadata: torch.Tensor + input_ids: torch.Tensor + num_tokens: torch.Tensor + draft_block_table: torch.Tensor + eagle_acts: torch.Tensor + + @classmethod + def prepare( + cls, + input_ids: torch.Tensor, # flat tensor of input ids + num_tokens: torch.Tensor, # tensor of num tokens per sequence + draft_block_table: torch.Tensor, + eagle_acts: torch.Tensor, + max_blocks: int, + device: torch.device, + cmd_buffer: torch.Tensor = None, + metadata_buffer: torch.Tensor = None, + tokenizer: AutoTokenizer = None, + ): + if eagle_acts is not None: + assert eagle_acts.shape[0] == input_ids.shape[0], ( + f"Eagle activations length {eagle_acts.shape[0]} != input_ids_flat length {input_ids.shape[0]}" + ) + + metadata = [ + input_ids.shape[0], + num_tokens.shape[0], + max_blocks, + 1 if eagle_acts is not None else 0, + eagle_acts.shape[1] if eagle_acts is not None else 0, + ] + if metadata_buffer is None: + metadata_buffer = torch.tensor(metadata, dtype=torch.int64, device=device) + else: + metadata_buffer[:] = metadata + + if cmd_buffer is None: + cmd_buffer = torch.tensor([COMMAND.PREFILL], dtype=torch.int64, device=device) + else: + cmd_buffer[0] = COMMAND.PREFILL + + prefill_request = cls( + cmd=cmd_buffer, + metadata=metadata_buffer, + input_ids=input_ids, + num_tokens=num_tokens, + draft_block_table=draft_block_table, + eagle_acts=eagle_acts, + ) + prefill_request.tokenizer = tokenizer + return prefill_request + + def send(self, async_pg: dist.ProcessGroup, draft_rank: int): + if NCCL_LOG: + sep = '=' * 80 + print(f"[{_ts()}] \n{sep}", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] cmd={self.cmd.tolist()}", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] metadata={self.metadata.tolist()}", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] input_ids shape={self.input_ids.shape}, values={self.input_ids.tolist()}", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] input_ids decoded='{_decode_ids(self.input_ids, self.tokenizer)}'", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] num_tokens={self.num_tokens.tolist()}", flush=True) + draft_block_table_values_str = compress_neg_ones_and_zeros(f"{self.draft_block_table.tolist()}") + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] draft_block_table shape={self.draft_block_table.shape}, values={draft_block_table_values_str}", flush=True) + print(f"[{_ts()}] [NCCL_LOG SEND_PREFILL] eagle_acts={'None' if self.eagle_acts is None else f'shape={self.eagle_acts.shape}'}", flush=True) + print(f"[{_ts()}] {sep}\n", flush=True) + send_tensor(self.cmd, async_pg, draft_rank, name="cmd", prefix="TARGET:PrefillRequest.send") + send_tensor(self.metadata, async_pg, draft_rank, name="metadata", prefix="TARGET:PrefillRequest.send") + fused_payload = concat_tensors_as_int64(self.input_ids, self.num_tokens, self.draft_block_table) + send_tensor(fused_payload, async_pg, draft_rank, name="fused payload", prefix="TARGET:PrefillRequest.send") + if self.eagle_acts is not None: + send_tensor(self.eagle_acts, async_pg, draft_rank, name="eagle acts", prefix="TARGET:PrefillRequest.send") + + @classmethod + def receive( + cls, + async_pg: dist.ProcessGroup, + target_rank: int, + device: torch.device, + metadata_buffer: torch.Tensor=None, + eagle_act_dtype: torch.dtype=torch.bfloat16, + tokenizer: AutoTokenizer = None, + ): + # 1) Receive metadata then individual tensors + # First receive prefill metadata to learn sizes + if metadata_buffer is None: + metadata_buffer = torch.empty(5, dtype=torch.int64, device=device) + + metadata = receive_tensor(metadata_buffer, async_pg, target_rank, name="metadata", prefix="DRAFT:PrefillRequest.receive") + total_new_tokens, batch_size, max_blocks, use_eagle, eagle_act_dim = metadata.tolist() + + # 2) receive fused int64 payload (input_ids + num_tokens + draft_block_table) + fused_total = total_new_tokens + batch_size + batch_size * max_blocks + fused = torch.empty(fused_total, dtype=torch.int64, device=device) + fused = receive_tensor(fused, async_pg, target_rank, name="fused payload", prefix="DRAFT:PrefillRequest.receive") + off = 0 + input_ids = fused[off:off + total_new_tokens] + off += total_new_tokens + num_tokens = fused[off:off + batch_size] + off += batch_size + draft_block_table = fused[off:off + batch_size * max_blocks].view(batch_size, max_blocks).to(torch.int32) + off += batch_size * max_blocks + assert off == fused_total + + eagle_acts = None + if use_eagle: + eagle_acts = torch.empty( + total_new_tokens, eagle_act_dim, dtype=eagle_act_dtype, device=device, + ) + eagle_acts = receive_tensor(eagle_acts, async_pg, target_rank, name="eagle acts", prefix="DRAFT:PrefillRequest.receive") + + if BRIEF_LOG: + print(f"[{_ts()}] [PrefillRequest.receive] metadata={metadata.tolist()}", flush=True) + print(f"[{_ts()}] [PrefillRequest.receive] num_tokens={num_tokens.tolist()}", flush=True) + decoded_input_ids = _decode_ids(input_ids, tokenizer) + print(f"[{_ts()}] [PrefillRequest.receive] input_ids shape={input_ids.shape}, values={input_ids.tolist()}, decoded='{decoded_input_ids}'", flush=True) + if eagle_acts is not None: + print(f"[{_ts()}] [PrefillRequest.receive] eagle_acts shape={eagle_acts.shape}, eagle_acts[:3, :3]={list_to_str(eagle_acts[:3, :3].tolist())}", flush=True) + + print(f"[{_ts()}] [PrefillRequest.receive] BANANA LOADING EAGLE ACTS FROM SSD") + prefill_request_from_ssd = torch.load('/work/avner/git/ssd/tensor_dump_ssd/prefill_request_12_59_28.84.pt', map_location='cpu', weights_only=False) + eagle_acts = prefill_request_from_ssd['eagle_acts'].to(eagle_act_dtype).to(device) + + if DUMP_TENSORS: + torch.save({ + 'metadata': metadata.cpu(), + 'input_ids': input_ids.cpu(), + 'num_tokens': num_tokens.cpu(), + 'draft_block_table': draft_block_table.cpu(), + 'eagle_acts': eagle_acts.cpu() if eagle_acts is not None else None, + }, f"{DUMP_TENSORS_DIR}/prefill_request_{_dump_ts()}.pt") + + return cls( + cmd=None, + metadata=metadata, + input_ids=input_ids, + num_tokens=num_tokens, + draft_block_table=draft_block_table, + eagle_acts=eagle_acts, ) - draft_block_table = draft_block_tables - - # 3) send cmd=1 - cmd = torch.tensor([1], dtype=torch.int64, device=device) - - # 4) send metadata for tensor reconstruction - metadata = torch.tensor([ - input_ids_flat.size(0), - len(input_id_list), # batch_size - max_blocks, - 1 if eagle_acts is not None else 0, - eagle_acts.shape[1] if eagle_acts is not None else 0, - ], dtype=torch.int64, device=device) - - if eagle_acts is not None: - assert eagle_acts.shape[0] == input_ids_flat.shape[0], ( - f"Eagle activations length {eagle_acts.shape[0]} != input_ids_flat length {input_ids_flat.shape[0]}" + + +@dataclass +class SpeculationRequest: + cmd: torch.Tensor | None + metadata: torch.Tensor + cache_keys: torch.Tensor + num_tokens: torch.Tensor + block_tables: torch.Tensor + temps: torch.Tensor # .view(torch.int32).to(torch.int64) + recovery_activations: torch.Tensor | None + extend_activations: torch.Tensor | None + extend_counts: torch.Tensor | None + extend_token_ids: torch.Tensor | None + + @classmethod + def prepare( + cls, + batch_size: int, + lookahead: int, + max_blocks: int, + vocab_size: int, + draft_dtype: torch.dtype, + device: torch.device, + eagle: bool = False, + eagle_act_dim: int = 0, + tokenizer: AutoTokenizer = None, + ): + speculation_request = cls(*([None] * 10)) + speculation_request.batch_size = batch_size + speculation_request.lookahead = lookahead + speculation_request.max_blocks = max_blocks + speculation_request.vocab_size = vocab_size + speculation_request.draft_dtype = draft_dtype + speculation_request.eagle = eagle + speculation_request.eagle_act_dim = eagle_act_dim + speculation_request.device = device + speculation_request.tokenizer = tokenizer + speculation_request._alloc_buffers() + return speculation_request + + def _alloc_buffers(self): + B, K = self.batch_size, self.lookahead + self.cmd = torch.tensor([COMMAND.SPECULATION], dtype=torch.int64, device=self.device) + self.metadata = torch.tensor([B, K, self.max_blocks, self.eagle_act_dim, self.vocab_size], dtype=torch.int64, device=self.device) + self.cache_keys = torch.empty(B, 3, dtype=torch.int64, device=self.device) + self.num_tokens = torch.empty(B, dtype=torch.int64, device=self.device) + self.temps = torch.zeros(B, dtype=torch.float32, device=self.device) + if self.max_blocks > 0: + self.block_tables = torch.full((B, self.max_blocks), -1, dtype=torch.int32, device=self.device) + else: + self.block_tables = None + if self.eagle: + self.recovery_activations = torch.empty(B, self.eagle_act_dim, dtype=self.draft_dtype, device=self.device) + self.extend_activations = torch.empty(B, K, self.eagle_act_dim, dtype=self.draft_dtype, device=self.device) + self.extend_counts = torch.zeros(B, dtype=torch.int64, device=self.device) + self.extend_token_ids = torch.empty(B, K, dtype=torch.int64, device=self.device) + else: + self.recovery_activations = None + self.extend_activations = None + self.extend_counts = None + self.extend_token_ids = None + + def maybe_update_buffers(self, batch_size: int, max_blocks: int = -1): + if batch_size != self.batch_size: + self.batch_size = batch_size + self._alloc_buffers(max_blocks=max_blocks) + + def send(self, async_pg: dist.ProcessGroup, draft_rank: int): + send_tensor(self.cmd, async_pg, draft_rank, name="cmd", prefix="TARGET:SpeculationRequest.send") + send_tensor(self.metadata, async_pg, draft_rank, name="metadata", prefix="TARGET:SpeculationRequest.send") + fused_payload = concat_tensors_as_int64( + self.cache_keys, + self.num_tokens, + self.block_tables.to(torch.int64), + self.temps.view(torch.int32).to(torch.int64), ) + send_tensor(fused_payload, async_pg, draft_rank, name="fused payload", prefix="TARGET:SpeculationRequest.send") + if self.eagle: + send_tensor(self.recovery_activations, async_pg, draft_rank, name="EAGLE recovery_activations", prefix="TARGET:SpeculationRequest.send") + send_tensor(self.extend_counts, async_pg, draft_rank, name="EAGLE extend_counts", prefix="TARGET:SpeculationRequest.send") + send_tensor(self.extend_activations, async_pg, draft_rank, name="EAGLE extend_activations", prefix="TARGET:SpeculationRequest.send") + send_tensor(self.extend_token_ids, async_pg, draft_rank, name="EAGLE extend_token_ids", prefix="TARGET:SpeculationRequest.send") + + @classmethod + def receive( + cls, + async_pg: dist.ProcessGroup, + target_rank: int, + device: torch.device, + draft_dtype: torch.dtype, + tokenizer: AutoTokenizer = None, + verbose: bool = False, + ): + meta = torch.empty(5, dtype=torch.int64, device=device) + meta = receive_tensor(meta, async_pg, target_rank, name="metadata", prefix="DRAFT:SpeculationRequest.receive") + B, K, max_blocks, eagle_act_dim, vocab_size = meta.tolist() + if NCCL_LOG: + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] SPECULATION REQUEST META RECEIVED, B={B}, K={K}, max_blocks={max_blocks}", flush=True) + + eagle = eagle_act_dim > 0 + speculation_request = cls.prepare( + batch_size=B, + lookahead=K, + max_blocks=max_blocks, + vocab_size=vocab_size, + draft_dtype=draft_dtype, + device=device, + eagle=eagle, + eagle_act_dim=eagle_act_dim, + tokenizer=tokenizer, + ) + + # Receive all request payload in one fused int64 burst (includes temperatures encoded as int64) + fused_total = (3 * B) + B + (B * max_blocks) + B # +B for temps_as_int64 + fused_req = torch.empty(fused_total, dtype=torch.int64, device=device) + fused_req = receive_tensor(fused_req, async_pg, target_rank, name="fused payload", prefix="DRAFT:SpeculationRequest.receive") + off = 0 + speculation_request.cache_keys = fused_req[off:off + (3 * B)].view(B, 3) + off += 3 * B + speculation_request.num_tokens = fused_req[off:off + B].to(torch.int64) + off += B + speculation_request.block_tables = fused_req[off:off + B * max_blocks].view(B, max_blocks).to(torch.int32) + off += B * max_blocks + temps_as_int64 = fused_req[off:off + B] + off += B + assert off == fused_total + speculation_request.temps = temps_as_int64.to(torch.int32).view(torch.float32) + + cache_keys, draft_block_tables, temperatures, num_tokens = ( + speculation_request.cache_keys, speculation_request.block_tables, speculation_request.temps, speculation_request.num_tokens + ) + if NCCL_LOG: + sep = '=' * 80 + print(f"[{_ts()}] \n{sep}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] meta=[B={B}, K={K}]", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] cache_keys shape={cache_keys.shape}", flush=True) + for i in range(B): + seq_id, accept_len, verified_id = cache_keys[i].tolist() + if tokenizer is not None: + verified_text = f" (f'{tokenizer.decode([int(verified_id)])}')" + else: + verified_text = "" + print(f"[{_ts()}] req[{i}]: seq_id={seq_id}, accept_len={accept_len}, verified_id={int(verified_id)}{verified_text}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] num_tokens={num_tokens.tolist()}", flush=True) + draft_block_table_values_str = compress_neg_ones_and_zeros(f"{draft_block_tables.tolist()}") + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] draft_block_tables shape={draft_block_tables.shape}, values={draft_block_table_values_str}", flush=True) + print(f"[{_ts()}] [NCCL_LOG DRAFT_RECV_SPEC] temperatures={temperatures.tolist()}", flush=True) + print(f"[{_ts()}] {sep}\n", flush=True) + + if eagle: + target_recovery_activations = receive_tensor(speculation_request.recovery_activations, async_pg, target_rank, name="EAGLE recovery_activations", prefix="DRAFT:SpeculationRequest.receive") + extend_counts = receive_tensor(speculation_request.extend_counts, async_pg, target_rank, name="EAGLE extend_counts", prefix="DRAFT:SpeculationRequest.receive") + extend_eagle_acts = receive_tensor(speculation_request.extend_activations, async_pg, target_rank, name="EAGLE extend_activations", prefix="DRAFT:SpeculationRequest.receive") + extend_token_ids = receive_tensor(speculation_request.extend_token_ids, async_pg, target_rank, name="EAGLE extend_token_ids", prefix="DRAFT:SpeculationRequest.receive") + + if verbose: + print(f"[{_ts()}] [CACHE REQUEST] target_recovery_activations.shape={target_recovery_activations.shape}", flush=True) + print(f"[{_ts()}] [CACHE REQUEST] extend_counts.shape={extend_counts.shape}, {extend_counts.tolist()}", flush=True) + print(f"[{_ts()}] [CACHE REQUEST] extend_eagle_acts.shape={extend_eagle_acts.shape}", flush=True) + print(f"[{_ts()}] [CACHE REQUEST] extend_token_ids.shape={extend_token_ids.shape}, {extend_token_ids.tolist()}", flush=True) + recovery_tokens_target = cache_keys[:, 2].clone() + print(f"[{_ts()}] \n{'='*80}", flush=True) + print(f"[{_ts()}] [CACHE REQUEST] Batch size: {B}, Spec depth: {K}", flush=True) + for i in range(B): + seq_id = cache_keys[i, 0].item() + keep_idx = cache_keys[i, 1].item() + rec_token_target = recovery_tokens_target[i].item() + if tokenizer is not None: + rec_token_text = f" (f'{tokenizer.decode([rec_token_target])}')" + else: + rec_token_text = "" + n_ext = extend_counts[i].item() + print(f"[{_ts()}] Seq {seq_id}: keep_idx={keep_idx}, recovery_token={rec_token_target}{rec_token_text}, n_ext={n_ext}", flush=True) + print(f"[{_ts()}] {'='*80}\n", flush=True) + + if BRIEF_LOG: + cache_keys = speculation_request.cache_keys + num_tokens = speculation_request.num_tokens + # block_tables = speculation_request.block_tables + # temps = speculation_request.temps + recovery_activations = speculation_request.recovery_activations + extend_activations = speculation_request.extend_activations + extend_counts = speculation_request.extend_counts + extend_token_ids = speculation_request.extend_token_ids + print(f"[{_ts()}] [SpeculationRequest.receive] {B=}, {K=}, {max_blocks=}, {eagle_act_dim=}", flush=True) + for i in range(B): + seq_id, accept_len, verified_id = cache_keys[i].tolist() + verified_text = _decode_ids(verified_id, tokenizer) + # print(f"[{_ts()}] req[{i}]: seq_id={seq_id}, accept_len={accept_len}, verified_id={int(verified_id)} ({verified_text})", flush=True) + print(f"[{_ts()}] req[{i}]: ACCEPT_LENGTH={accept_len}, VERIFIED_TEXT={verified_text}", flush=True) + if eagle: + print(f"[{_ts()}] req[{i}]: recovery_activations shape={recovery_activations.shape}, values[i, :3]={list_to_str(recovery_activations[i, :3].tolist())}", flush=True) + print(f"[{_ts()}] req[{i}]: extend_activations shape={extend_activations.shape}, values[i, :, :3]={list_to_str(extend_activations[i, :, :3].tolist())}", flush=True) + num_extend = extend_counts[i].item() + print(f"[{_ts()}] req[{i}]: extend_counts shape={extend_counts.shape}, values[i]={num_extend}", flush=True) + decoded_extend_token_ids = _decode_ids(extend_token_ids[i, :num_extend], tokenizer) + print(f"[{_ts()}] req[{i}]: extend_token_ids shape={extend_token_ids.shape}, values={extend_token_ids[i].tolist()}, decoded[:, :{num_extend}]='{decoded_extend_token_ids}'", flush=True) + + if DUMP_TENSORS: + torch.save({ + 'metadata': speculation_request.metadata.cpu(), + 'cache_keys': speculation_request.cache_keys.cpu(), + 'num_tokens': speculation_request.num_tokens.cpu(), + 'block_tables': speculation_request.block_tables.cpu() if speculation_request.block_tables is not None else None, + 'temps': speculation_request.temps.cpu(), + 'recovery_activations': speculation_request.recovery_activations.cpu() if speculation_request.recovery_activations is not None else None, + 'extend_counts': speculation_request.extend_counts.cpu() if speculation_request.extend_counts is not None else None, + 'extend_activations': speculation_request.extend_activations.cpu() if speculation_request.extend_activations is not None else None, + 'extend_token_ids': speculation_request.extend_token_ids.cpu() if speculation_request.extend_token_ids is not None else None, + }, f"{DUMP_TENSORS_DIR}/speculation_request_{_dump_ts()}.pt") + + return speculation_request + + +@dataclass +class SpeculationResponse: + speculations: torch.Tensor + logits_q: torch.Tensor | None + cache_hits: torch.Tensor | None + + @classmethod + def prepare( + cls, + lookahead: int, + device: torch.device, + draft_dtype: torch.dtype = torch.bfloat16, + batch_size: int = 1, + vocab_size: int = -1, + communicate_logits: bool = False, + communicate_cache_hits: bool = False, + tokenizer: AutoTokenizer = None, + ): + response = cls( + speculations=None, + logits_q=None, + cache_hits=None, + ) + response.batch_size = batch_size + response.lookahead = lookahead + response.draft_dtype = draft_dtype + response.device = device + response.vocab_size = vocab_size + response.communicate_logits = communicate_logits + response.communicate_cache_hits = communicate_cache_hits + response.tokenizer = tokenizer + response._alloc_buffers() + return response + + def _alloc_buffers(self): + self.speculations = torch.empty(self.batch_size, self.lookahead, dtype=torch.int64, device=self.device) + if getattr(self, 'communicate_logits', False): + self.logits_q = torch.empty(self.batch_size, self.lookahead, self.vocab_size, dtype=self.draft_dtype, device=self.device) + if getattr(self, 'communicate_cache_hits', False): + self.cache_hits = torch.zeros(self.batch_size, dtype=torch.int64, device=self.device) + + def maybe_update_buffers(self, batch_size: int = -1): + if batch_size > 0 and batch_size != self.batch_size: + self.batch_size = batch_size + self._alloc_buffers() + + def send(self, async_pg: dist.ProcessGroup, target_rank: int, tokenizer: AutoTokenizer = None): + send_tensor(self.speculations, async_pg, target_rank, name="speculations", prefix="DRAFT:SpeculationResponse.send") + + if BRIEF_LOG: + decoded_speculations = _decode_ids(self.speculations, tokenizer) + print(f"[{_ts()}] [SpeculationResponse.send] SPECULATION: '{decoded_speculations}'", flush=True) + print(f"[{_ts()}] {'='*80}\n", flush=True) + + if DUMP_TENSORS: + torch.save({ + 'speculations': self.speculations.cpu(), + }, f"{DUMP_TENSORS_DIR}/speculation_response_{_dump_ts()}.pt") + + if self.logits_q is not None: + assert getattr(self, 'communicate_logits', True), "logits_q is not None but communicate_logits is False" + send_tensor(self.logits_q, async_pg, target_rank, name="logits", prefix="DRAFT:SpeculationResponse.send") + if self.cache_hits is not None: + assert getattr(self, 'communicate_cache_hits', True), "cache_hits is not None but communicate_cache_hits is False" + send_tensor(self.cache_hits, async_pg, target_rank, name="cache hits", prefix="DRAFT:SpeculationResponse.send") + + @classmethod + def receive( + cls, + async_pg: dist.ProcessGroup, + draft_rank: int, + batch_size: int, + lookahead: int, + device: torch.device, + draft_dtype: torch.dtype = torch.bfloat16, + receive_logits: bool = False, + receive_cache_hits: bool = False, + vocab_size: int = -1, + tokenizer: AutoTokenizer = None, + ): + speculation_response = cls.prepare( + batch_size=batch_size, + lookahead=lookahead, + device=device, + draft_dtype=draft_dtype, + communicate_logits=receive_logits, + communicate_cache_hits=receive_cache_hits, + vocab_size=vocab_size, + tokenizer=tokenizer, + ) + speculation_response.receive(async_pg, draft_rank, batch_size=batch_size) + return speculation_response + + def receive(self, async_pg: dist.ProcessGroup, draft_rank: int, batch_size: int=-1): + self.maybe_update_buffers(batch_size=batch_size) + self.speculations = receive_tensor(self.speculations, async_pg, draft_rank, name="speculations", prefix="TARGET:SpeculationResponse.receive") + if self.communicate_logits: + self.logits_q = receive_tensor(self.logits_q, async_pg, draft_rank, name="logits", prefix="TARGET:SpeculationResponse.receive") + if self.communicate_cache_hits: + self.cache_hits = receive_tensor(self.cache_hits, async_pg, draft_rank, name="cache hits", prefix="TARGET:SpeculationResponse.receive") + + +def _decode_ids(ids_tensor, tokenizer: AutoTokenizer = None): + if tokenizer is None: + return "" + if isinstance(ids_tensor, int): + ids = [ids_tensor] + else: + ids = ids_tensor.cpu().tolist() + if isinstance(ids, int): + ids = [ids] + return tokenizer.decode(ids) + + +def concat_tensors_as_int64(*tensors: torch.Tensor) -> torch.Tensor: + """Concatenate tensors into a single flat int64 payload.""" + parts = [] + for t in tensors: + if t is None: + continue + if t.dtype != torch.int64: + t = t.to(torch.int64) + parts.append(t.reshape(-1)) + if not parts: + return torch.empty(0, dtype=torch.int64) + return torch.cat(parts, dim=0) + + +def receive_tensor( + tensor: torch.Tensor, + async_pg: dist.ProcessGroup, + draft_runner_rank: int, + name: str = "", + prefix: str = "", + print_shape: bool = True, + print_values: bool = False, +) -> torch.Tensor: + prefix = f"[{prefix:>35}]" if prefix else "" + if NCCL_LOG: + tensor_str = f"{name:>30}" if name else "" + if print_shape: + tensor_str += (", " if tensor_str else "") + f"shape={tensor.shape}" + print(f"[{_ts()}][NCCL:START_RECEIVE_TENSOR]{prefix} {tensor_str}", flush=True) + + dist.recv(tensor, src=draft_runner_rank, group=async_pg) + + if NCCL_LOG: + if print_values: + tensor_str += (", " if tensor_str else "") + f"values={tensor.tolist()}" + print(f"[{_ts()}][NCCL: END_RECEIVE_TENSOR]{prefix} {tensor_str}", flush=True) + + return tensor + + +def send_tensor( + tensor: torch.Tensor, + async_pg: dist.ProcessGroup, + draft_runner_rank: int, + name: str = "", + prefix: str = "", + print_shape: bool = True, + print_values: bool = False, +) -> None: + prefix = f"[{prefix:>35}]" if prefix else "" + if NCCL_LOG: + tensor_str = f"{name:>30}" if name else "" + if print_shape: + tensor_str += (", " if tensor_str else "") + f"shape={tensor.shape}" + print(f"[{_ts()}][NCCL: START_SEND_TENSOR]{prefix} {tensor_str}", flush=True) + + dist.send(tensor, dst=draft_runner_rank, group=async_pg) + + if NCCL_LOG: + if print_values: + tensor_str += (", " if tensor_str else "") + f"values={tensor.tolist()}" + print(f"[{_ts()}][NCCL: END_SEND_TENSOR]{prefix} {tensor_str}", flush=True) - return cmd, metadata, input_ids_flat, num_tokens, draft_block_table, eagle_acts def prepare_decode_tensors_from_seqs( seqs: list[Sequence], @@ -96,6 +628,7 @@ def prepare_decode_tensors_from_seqs( slot_mapping.append( block_id * block_size + pos_in_block) + input_ids = torch.tensor( input_ids, dtype=torch.int64, pin_memory=True).cuda(non_blocking=True) positions = torch.tensor( diff --git a/ssd/engine/llm_engine.py b/ssd/engine/llm_engine.py index a101598..e99c648 100644 --- a/ssd/engine/llm_engine.py +++ b/ssd/engine/llm_engine.py @@ -21,7 +21,6 @@ import torch.multiprocessing as mp - METRICS = { "cache_hits": [], "accepted_suffix_lens_with_recovery": [], @@ -45,8 +44,6 @@ def __init__(self, model, **kwargs): self.config = config Sequence.block_size = config.kvcache_block_size - assert config.kvcache_block_size >= ( - 2 * config.speculate_k + 2), "ERROR: support for block size < 2*k+2 is not implemented" assert config.num_gpus > 1 or not config.draft_async, "ERROR: draft_async requires at least 2 gpus" # Check that target and draft are from the same family @@ -83,7 +80,12 @@ def __init__(self, model, **kwargs): init_q = ctx.Queue() draft_rank = config.num_gpus - 1 self.draft_ps = ctx.Process( - target=DraftRunner, args=(config, draft_rank, init_q)) + target=DraftRunner, args=( + DraftRunner.create_draft_config(config), + draft_rank, + init_q, + ), + ) self.draft_ps.start() print( f'Draft runner created on rank {draft_rank} (async)!', flush=True) @@ -190,11 +192,13 @@ def add_request(self, prompt: str | list[int], sampling_params: SamplingParams): self.scheduler.add(seq) - def step(self, step: InferenceStep): + def step(self, step: InferenceStep, step_num: int): t = perf_counter() seqs, is_prefill = self.scheduler.schedule() - ttl_tokens = step.prefill(seqs) if is_prefill else step.decode(seqs) - + ttl_tokens = ( + step.prefill(seqs, step_num=step_num) if is_prefill else + step.decode(seqs, step_num=step_num) + ) time_taken = perf_counter() - t if is_prefill: @@ -239,35 +243,48 @@ def log_metrics(self): print( f"[metrics] Avg target verify time (ms): {sum(METRICS['target_verify_times']) * 1000 / len(METRICS['target_verify_times']):.2f}", flush=True) if self.config.draft_async: - print( - f"[metrics] Avg Cache Hits: {sum(METRICS['cache_hits']) / len(METRICS['cache_hits']):.2f}", flush=True) - # Log separate metrics for cache hits - if METRICS['accepted_suffix_lens_on_hit']: - avg_suffix_len_on_hit = sum( - METRICS['accepted_suffix_lens_on_hit']) / len(METRICS['accepted_suffix_lens_on_hit']) - print( - f"[metrics] Avg Tokens per step on Cache Hit: {avg_suffix_len_on_hit:.2f}", flush=True) - - # Calculate empirical frequencies of accepted_suffix_lens_on_hit - 1 - adjusted_lens = [length - 1 for length in METRICS['accepted_suffix_lens_on_hit']] - total_count = len(adjusted_lens) - freq_counts = {} - for length in adjusted_lens: - freq_counts[length] = freq_counts.get(length, 0) + 1 - - # Print normalized empirical probabilities for range [0, K] - print(f"[metrics] Empirical frequencies of accepted_suffix_lens_on_hit - 1:", flush=True) - for k in range(self.config.speculate_k + 1): - prob = freq_counts.get(k, 0) / total_count - print(f" {k}: {prob:.3f}", flush=True) - if METRICS['accepted_suffix_lens_on_miss']: - avg_suffix_len_on_miss = sum( - METRICS['accepted_suffix_lens_on_miss']) / len(METRICS['accepted_suffix_lens_on_miss']) - print( - f"[metrics] Avg Tokens per step on Cache Miss: {avg_suffix_len_on_miss:.2f}", flush=True) + if METRICS['accepted_suffix_lens_with_recovery']: + print(f"[metrics] Avg Tokens per step (incl recovery): {sum(METRICS['accepted_suffix_lens_with_recovery']) / len(METRICS['accepted_suffix_lens_with_recovery']):.2f}", flush=True) + else: + print(f"[metrics] Avg Tokens per step (incl recovery): N/A (THIS MAY INDICATE A BUG)", flush=True) + + if not self.config.communicate_cache_hits: + # TODO: Compute these metrics on the draft side? + print(f"Skipping metrics based on cache hits vs misses because communicate_cache_hits is False", flush=True) else: print( - f"[metrics] Avg Tokens per step on Cache Hit: N/A (no cache hits)", flush=True) + f"[metrics] Avg Cache Hits: {sum(METRICS['cache_hits']) / len(METRICS['cache_hits']):.2f}", flush=True) + # Log separate metrics for cache hits + if METRICS['accepted_suffix_lens_on_hit']: + avg_suffix_len_on_hit = sum( + METRICS['accepted_suffix_lens_on_hit']) / len(METRICS['accepted_suffix_lens_on_hit']) + print( + f"[metrics] Avg Tokens per step on Cache Hit: {avg_suffix_len_on_hit:.2f}", flush=True) + + # Calculate empirical frequencies of accepted_suffix_lens_on_hit - 1 + adjusted_lens = [length - 1 for length in METRICS['accepted_suffix_lens_on_hit']] + total_count = len(adjusted_lens) + freq_counts = {} + for length in adjusted_lens: + freq_counts[length] = freq_counts.get(length, 0) + 1 + + # Print normalized empirical probabilities for range [0, K] + print(f"[metrics] Empirical frequencies of accepted_suffix_lens_on_hit - 1:", flush=True) + for k in range(self.config.speculate_k + 1): + prob = freq_counts.get(k, 0) / total_count + print(f" {k}: {prob:.3f}", flush=True) + else: + print( + f"[metrics] Avg Tokens per step on Cache Hit: N/A (no cache hits)", flush=True) + + if METRICS['accepted_suffix_lens_on_miss']: + avg_suffix_len_on_miss = sum( + METRICS['accepted_suffix_lens_on_miss']) / len(METRICS['accepted_suffix_lens_on_miss']) + print( + f"[metrics] Avg Tokens per step on Cache Miss: {avg_suffix_len_on_miss:.2f}", flush=True) + else: + print( + f"[metrics] Avg Tokens per step on Cache Miss: N/A (no cache misses)", flush=True) def create_inference_step(self, config: Config) -> InferenceStep: if config.speculate: @@ -281,6 +298,10 @@ def create_inference_step(self, config: Config) -> InferenceStep: draft_dtype=config.draft_hf_config.torch_dtype, kvcache_block_size=config.kvcache_block_size, max_model_len=config.max_model_len, + eagle=config.use_eagle, + eagle_act_dim=3 * config.hf_config.hidden_size if config.use_eagle else 0, + communicate_logits=config.communicate_logits, + communicate_cache_hits=config.communicate_cache_hits, async_pg=self.model_runner.async_pg, draft_runner_rank=self.num_tp_gpus, tokenizer=self.tokenizer, @@ -325,8 +346,6 @@ def generate( use_tqdm: bool = True, stream_callback=None, ) -> list[str]: - for k in METRICS: - METRICS[k] = [] if isinstance(METRICS[k], list) else 0 if use_tqdm: pbar = tqdm(total=len(prompts), @@ -349,7 +368,7 @@ def generate( ) i += 1 t = perf_counter() - output = self.step(inference_step) + output = self.step(inference_step, i - 1) time_taken = perf_counter() - t METRICS["target_step_times"].append(time_taken) diff --git a/ssd/engine/model_runner.py b/ssd/engine/model_runner.py index 1f268c8..b945522 100644 --- a/ssd/engine/model_runner.py +++ b/ssd/engine/model_runner.py @@ -1,6 +1,7 @@ import pickle import time +from datetime import datetime import torch import torch.distributed as dist from multiprocessing.synchronize import Event @@ -17,9 +18,12 @@ from ssd.utils.context import set_context, reset_context, get_context from ssd.utils.loader import load_model from ssd.engine.helpers.runner_helpers import ( + COMMAND, prepare_decode_tensors_from_seqs, prepare_block_tables_from_seqs, - prepare_prefill_tensors_from_seqs + prepare_prefill_tensors_from_seqs, + receive_tensor, + send_tensor, ) from ssd.engine.helpers.cudagraph_helpers import ( run_verify_cudagraph, @@ -30,9 +34,14 @@ capture_verify_cudagraph, capture_fi_tree_decode_cudagraph, capture_glue_decode_cudagraph, - get_custom_mask, ) - +from ssd.engine.helpers.mask_helpers import get_custom_mask + +NCCL_LOG = os.environ.get("SSD_NCCL_LOG", "0") == "1" + +def _ts(): + return f'[[{datetime.now().strftime('%H:%M:%S.%f')[:-3]}]]' + class ModelRunner: @@ -48,7 +57,7 @@ def __init__(self, config: Config, rank: int, event: Event | list[Event], is_dra print(f"Warning: Draft dtype {config.draft_hf_config.torch_dtype} differs from target {config.hf_config.torch_dtype}. Casting draft to {config.hf_config.torch_dtype}.") config.draft_hf_config.torch_dtype = config.hf_config.torch_dtype assert (config.draft_hf_config.vocab_size == config.hf_config.vocab_size) or config.use_eagle, "ERROR in ModelRunner: draft_hf_config.vocab_size != hf_config.vocab_size" - + self.hf_config = config.hf_config if not is_draft else config.draft_hf_config self.block_size = config.kvcache_block_size self.enforce_eager = config.enforce_eager @@ -59,7 +68,7 @@ def __init__(self, config: Config, rank: int, event: Event | list[Event], is_dra # TODO: Get rid of this. if self.is_draft: - should_use_dist = self.config.draft_async + should_use_dist = self.config.draft_async and self.config.async_nccl_port is None else: should_use_dist = self.config.num_gpus > 1 @@ -86,7 +95,9 @@ def __init__(self, config: Config, rank: int, event: Event | list[Event], is_dra self._exiting = False torch.cuda.set_device(self.rank) - self.device = torch.device(f'cuda:{self.rank}') + self.device = torch.device(f'cuda:{self.rank}') + self._cmd = torch.empty(1, dtype=torch.int64, device=self.device) + # cudagraph logic for FlashInfer kernels, need diff wrapper for each batch size we make a graph for if is_draft and config.draft_async: @@ -159,7 +170,7 @@ def __init__(self, config: Config, rank: int, event: Event | list[Event], is_dra def _init_flashinfer_wrappers(self): """Initialize FlashInfer wrappers for draft async mode.""" self.workspace_buffer = torch.zeros( - 512 * 1024 * 1024, dtype=torch.uint8, device=f"cuda:{self.rank}") + 768 * 1024 * 1024, dtype=torch.uint8, device=f"cuda:{self.rank}") if self.config.enforce_eager: self.only_prefill_wrapper = flashinfer.BatchPrefillWithPagedKVCacheWrapper(self.workspace_buffer, "NHD") @@ -256,7 +267,25 @@ def setup_and_warmup_model_and_cudagraphs(self, config: Config, hf_config: AutoC load_model(self.model, config.model, target_path=target_path, target_hidden_size=target_hidden_size) if config.draft_async: # move this here so we don't get a timeout waiting for draft rank while load_model happens? - self.async_pg = dist.new_group(ranks=[0, self.draft_rank]) + if config.async_nccl_port is not None: + from torch.distributed import TCPStore + from ssd.utils.dist_utils import init_custom_process_group + store = TCPStore(config.async_nccl_host, port=config.async_nccl_port, + world_size=2, is_master=False) + with torch.cuda.device(self.device): + self.async_pg = init_custom_process_group( + backend="nccl", store=store, world_size=2, rank=1, + group_name="async_spec") + # Cross-node: receive kv_cache_size from target so draft + # allocates the same number of KV cache blocks. + kv_buf = torch.empty(1, dtype=torch.int64, device=self.device) + kv_buf = receive_tensor(kv_buf, self.async_pg, 0, name="target kv_cache_size") + target_kv_cache_size = kv_buf.item() + print(f'[model_runner] Received target kv_cache_size={target_kv_cache_size} via NCCL', flush=True) + if target_kv_cache_size > 0: + config.num_kvcache_blocks = target_kv_cache_size + else: + self.async_pg = dist.new_group(ranks=[0, self.draft_rank]) if self.verbose: print(f'-----{model_type}MODEL LOADED----', flush=True) if config.sampler_x is not None: @@ -270,10 +299,6 @@ def setup_and_warmup_model_and_cudagraphs(self, config: Config, hf_config: AutoC if self.verbose: print(f'-----ALLOCATING {model_type}KV CACHE----', flush=True) self.allocate_kv_cache() - if init_q is not None: - # super().__init__() runs warmup and calculates num_kvcache_blocks, pass that up - init_q.put(self.config.num_kvcache_blocks) - init_q.close() if not self.enforce_eager: # if not self.is_draft or (self.is_draft and self.config.draft_async and self.config.speculate): @@ -301,6 +326,19 @@ def setup_and_warmup_model_and_cudagraphs(self, config: Config, hf_config: AutoC self.graphs["glue_decode"] = glue_graphs self.graph_bs_list["glue_decode"] = glue_bs_list + if init_q is not None: + # Signal the scheduler that we're fully initialized (model loaded, + # KV cache allocated, CUDA graphs captured). Must happen after + # CUDA graph capture so the scheduler doesn't send NCCL requests + # before the draft runner enters its recv loop. + init_q.put(self.config.num_kvcache_blocks) + init_q.close() + elif self.is_draft and self.draft_async and hasattr(self, 'async_pg'): + # Cross-node mode: no mp.Queue available, signal readiness via NCCL. + ready_buf = torch.tensor([self.config.num_kvcache_blocks], dtype=torch.int64, device=self.device) + send_tensor(ready_buf, self.async_pg, 0, name="num_kvcache_blocks") + print(f'[model_runner] Cross-node init: sent num_kvcache_blocks={self.config.num_kvcache_blocks} via NCCL', flush=True) + return model_type def exit(self, hard: bool = True): @@ -356,7 +394,7 @@ def exit(self, hard: bool = True): pass try: # Default group - if self.world_size > 1 or (self.draft_async and self.is_draft): + if (self.world_size > 1 or (self.draft_async and self.is_draft)) and self.config.async_nccl_port is None: dist.destroy_process_group() except Exception: pass @@ -378,16 +416,6 @@ def loop(self): self.call(method_name, *args) if method_name == "exit": break - - def recv_cmd(self): - t = torch.empty(1, dtype=torch.int64, device=self.device) - dist.recv(t, src=0, group=self.async_pg) - return int(t.item()) - - def recv_tensor(self, shape, dtype=torch.int64): - t = torch.empty(shape, dtype=dtype, device=self.device) - dist.recv(t, src=0, group=self.async_pg) - return t def send_draft_exit_signal(self): """ @@ -398,9 +426,30 @@ def send_draft_exit_signal(self): return try: cmd = torch.tensor([2], dtype=torch.int64, device=self.device) - dist.send(cmd, dst=self.draft_rank, group=self.async_pg) + send_tensor(cmd, self.async_pg, self.draft_rank, name="draft exit signal") except Exception: + if NCCL_LOG: + print(f"[{_ts()}] [NCCL_LOG SEND_DRAFT_EXIT_SIGNAL] ERROR SENDING DRAFT EXIT SIGNAL", flush=True) pass + + def _wait_for_cmd(self, handle_entry=None): + """Waits for a command, using the provided handle if available.""" + if handle_entry: + if NCCL_LOG: + print(f"[{_ts()}] [NCCL_LOG WAIT_FOR_CMD] WAITING FOR CMD", flush=True) + + work_handle, cmd_tensor = handle_entry + # block until the irecv completes and the buffer is filled + work_handle.wait() + else: + # no pending irecv, fall back to the normal recv path + cmd_tensor = receive_tensor(self._cmd, self.async_pg, 0, name="cmd", prefix="DRAFT:wait_for_cmd") + + command = COMMAND(cmd_tensor.item()) + if NCCL_LOG: + print(f"[{_ts()}] [NCCL_LOG WAIT_FOR_CMD] CMD RECEIVED: {command}", flush=True) + return command, None + def read_shm(self): assert self.world_size > 1 and self.rank self.event.wait() @@ -472,7 +521,10 @@ def allocate_kv_cache(self): usable_bytes = max(usable_bytes - reserved_bytes, 0) assert usable_bytes > 0, "ERROR: Not enough memory for draft KV cache after accounting for tree_cache for logits storage" - config.num_kvcache_blocks = int(usable_bytes) // block_bytes + if config.num_kvcache_blocks is not None and config.num_kvcache_blocks > 0: + config.num_kvcache_blocks = min(config.num_kvcache_blocks, int(usable_bytes) // block_bytes) + else: + config.num_kvcache_blocks = int(usable_bytes) // block_bytes if self.verbose: print(f'KV CACHE ALLOCATION for {"TARGET" if not self.is_draft else "DRAFT"} model', flush=True) print(f' free={free/1e9:.2f}GB, util={config.gpu_memory_utilization:.2f}', flush=True) @@ -489,7 +541,7 @@ def allocate_kv_cache(self): num_kv_heads, hf_config.head_dim, ) - + print(f"allocate_kv_cache(): kv_cache shape = {self.kv_cache.shape}", flush=True) layer_id = 0 for module in self.model.modules(): diff --git a/ssd/engine/speculator_async.py b/ssd/engine/speculator_async.py index 2334fd9..a5e3abc 100644 --- a/ssd/engine/speculator_async.py +++ b/ssd/engine/speculator_async.py @@ -3,10 +3,9 @@ from transformers import AutoTokenizer from ssd.engine.helpers.speculate_types import SpeculateResult, VerifyResult, SpeculatorBase -from ssd.engine.helpers.runner_helpers import prepare_prefill_payload +from ssd.engine.helpers.runner_helpers import PrefillRequest, SpeculationRequest, SpeculationResponse from ssd.engine.sequence import Sequence from ssd.utils.misc import decode_tokens -from ssd.utils.async_helpers.nccl_pack import send_int64 class SpeculatorAsync(SpeculatorBase): @@ -21,6 +20,10 @@ def __init__( draft_dtype: torch.dtype, kvcache_block_size: int, max_model_len: int, + eagle: bool, + eagle_act_dim: int, + communicate_logits: bool, + communicate_cache_hits: bool, async_pg: dist.ProcessGroup, draft_runner_rank: int, tokenizer: AutoTokenizer, @@ -33,33 +36,42 @@ def __init__( self.draft_dtype = draft_dtype self.kvcache_block_size = kvcache_block_size self.max_model_len = max_model_len + self.eagle = eagle + self.eagle_act_dim = eagle_act_dim + self.communicate_logits = communicate_logits + self.communicate_cache_hits = communicate_cache_hits self.async_pg = async_pg self.draft_runner_rank = draft_runner_rank + self.target_rank = 0 self.tokenizer = tokenizer self.verbose = verbose self.K = lookahead # Pre-allocate handshake send/recv buffers (reused every step) - self._alloc_handshake_bufs(1) - - # Pre-allocate speculate() output buffers (avoid torch.tensor(device=cuda) sync) - self._recovery_buf = torch.empty(1, dtype=torch.int64, device=device) - self._speculations_buf = torch.empty(1, lookahead + 1, dtype=torch.int64, device=device) - - def _alloc_handshake_bufs(self, B): - self._hs_B = B - d = self.device - self._cmd = torch.zeros(1, dtype=torch.int64, device=d) - self._meta = torch.tensor([B, self.K, self.async_fan_out], dtype=torch.int64, device=d) - self._cache_keys = torch.empty(B, 3, dtype=torch.int64, device=d) - self._num_tokens_buf = torch.empty(B, dtype=torch.int64, device=d) - self._temps_buf = torch.empty(B, dtype=torch.float32, device=d) - self._block_tables_buf = torch.full((B, self.max_blocks), -1, dtype=torch.int32, device=d) - self._fused_response = torch.empty(B + B * self.K, dtype=torch.int64, device=d) - self._logits_q = torch.empty(B, self.K, self.vocab_size, dtype=self.draft_dtype, device=d) - self._extend_counts = torch.zeros(B, dtype=torch.int64, device=d) + B = 1 + self._speculation_request = SpeculationRequest.prepare( + batch_size=B, + lookahead=lookahead, + max_blocks=max_blocks, + vocab_size=vocab_size, + draft_dtype=draft_dtype, + device=device, + eagle=eagle, + eagle_act_dim=eagle_act_dim, + ) + self._speculation_response = SpeculationResponse.prepare( + batch_size=B, + lookahead=lookahead, + device=device, + draft_dtype=draft_dtype, + communicate_logits=communicate_logits, + communicate_cache_hits=communicate_cache_hits, + vocab_size=vocab_size, + ) + self._recovery_buf = torch.empty(B, dtype=torch.int64, device=self.device) + self._speculations_buf = torch.empty(B, self.K + 1, dtype=torch.int64, device=self.device) - def prefill(self, seqs: list[Sequence], verify_result: VerifyResult) -> SpeculateResult: + def _prepare_prefill_request(self, seqs: list[Sequence], verify_result: VerifyResult) -> PrefillRequest: eagle_acts = verify_result.eagle_acts input_id_list = [seq.token_ids for seq in seqs] @@ -77,16 +89,38 @@ def prefill(self, seqs: list[Sequence], verify_result: VerifyResult) -> Speculat input_id_list = [ids[1:] for ids in input_id_list] max_blocks = (self.max_model_len + self.kvcache_block_size - 1) // self.kvcache_block_size - cmd, metadata, input_ids, num_tokens, draft_block_table, eagle_acts = prepare_prefill_payload( - input_id_list, eagle_acts, self.device, max_blocks, - [seq.draft_block_table for seq in seqs], + input_ids_flat = [] + num_tokens = [] + for input_ids in input_id_list: + input_ids_flat.extend(input_ids) + num_tokens.append(len(input_ids)) + + draft_block_tables = [seq.draft_block_table for seq in seqs] + input_ids_flat = torch.tensor(input_ids_flat, dtype=torch.int64, device=self.device) + num_tokens = torch.tensor(num_tokens, dtype=torch.int64, device=self.device) + if isinstance(draft_block_tables, list): + draft_block_table = torch.tensor( + [dbt + [-1] * (max_blocks - len(dbt)) for dbt in draft_block_tables], + dtype=torch.int32, device=self.device, + ) + else: + assert draft_block_tables.shape == (len(input_id_list), max_blocks), ( + f"draft_block_tables shape mismatch: expected ({len(input_id_list), max_blocks}), got {draft_block_tables.shape}" + ) + draft_block_table = draft_block_tables + + return PrefillRequest.prepare( + input_ids_flat, + num_tokens, + draft_block_table, + eagle_acts, + max_blocks, + self.device, ) - dist.send(cmd, dst=self.draft_runner_rank, group=self.async_pg) - dist.send(metadata, dst=self.draft_runner_rank, group=self.async_pg) - send_int64(self.async_pg, self.draft_runner_rank, - input_ids, num_tokens, draft_block_table.to(torch.int64)) - if eagle_acts is not None: - dist.send(eagle_acts, dst=self.draft_runner_rank, group=self.async_pg) + + def prefill(self, seqs: list[Sequence], verify_result: VerifyResult) -> SpeculateResult: + prefill_request = self._prepare_prefill_request(seqs, verify_result) + prefill_request.send(self.async_pg, self.draft_runner_rank) return SpeculateResult([], []) def speculate(self, seqs: list[Sequence], verify_result: VerifyResult) -> SpeculateResult: @@ -106,9 +140,24 @@ def speculate(self, seqs: list[Sequence], verify_result: VerifyResult) -> Specul print(f"{sep}\n", flush=True) eagle = verify_result.eagle_acts is not None - speculations_tokens, logits_q, cache_hits = self._speculation_request(seqs, eagle) + assert self.eagle == eagle, "Eagle status mismatch" + speculation_response = self._make_speculation_request(seqs, eagle) + speculation_tokens = speculation_response.speculations + logits_q = speculation_response.logits_q + cache_hits = speculation_response.cache_hits # Build speculations using pre-allocated buffers (avoids torch.tensor(device=cuda) sync) + speculations = self._prepend_recovery_tokens(seqs, speculation_tokens) + + for i, seq in enumerate(seqs): + seq.token_ids.extend(speculation_tokens[i].tolist()) + seq.num_tokens = len(seq.token_ids) + seq.last_token = seq.token_ids[-1] + seq.num_draft_cached_tokens += len(speculation_tokens[i]) + 1 + + return SpeculateResult(speculations, logits_q, cache_hits) + + def _prepend_recovery_tokens(self, seqs: list[Sequence], speculation_tokens: torch.Tensor) -> torch.Tensor: B = len(seqs) if B != self._recovery_buf.shape[0]: self._recovery_buf = torch.empty(B, dtype=torch.int64, device=self.device) @@ -116,72 +165,42 @@ def speculate(self, seqs: list[Sequence], verify_result: VerifyResult) -> Specul _rec_cpu = torch.tensor([seq.recovery_token_id for seq in seqs], dtype=torch.int64) self._recovery_buf.copy_(_rec_cpu, non_blocking=True) self._speculations_buf[:, 0] = self._recovery_buf - self._speculations_buf[:, 1:] = speculations_tokens - speculations = self._speculations_buf + self._speculations_buf[:, 1:] = speculation_tokens + return self._speculations_buf - for i, seq in enumerate(seqs): - seq.token_ids.extend(speculations_tokens[i].tolist()) - seq.num_tokens = len(seq.token_ids) - seq.last_token = seq.token_ids[-1] - seq.num_draft_cached_tokens += len(speculations_tokens[i]) + 1 - - return SpeculateResult(speculations, logits_q, cache_hits) - - def _speculation_request(self, seqs: list[Sequence], eagle: bool): + def _prepare_speculation_request(self, seqs: list[Sequence], eagle: bool) -> SpeculationRequest: B = len(seqs) - if B != self._hs_B: - self._alloc_handshake_bufs(B) + self._speculation_request.maybe_update_buffers(B) # Fill send buffers in-place (avoids torch.tensor from Python lists) for i, seq in enumerate(seqs): - self._cache_keys[i, 0] = seq.seq_id - self._cache_keys[i, 1] = seq.last_spec_step_accepted_len - 1 - self._cache_keys[i, 2] = seq.recovery_token_id - self._num_tokens_buf[i] = seq.num_tokens - self._temps_buf[i] = seq.draft_temperature if seq.draft_temperature is not None else seq.temperature + self._speculation_request.cache_keys[i, 0] = seq.seq_id + self._speculation_request.cache_keys[i, 1] = seq.last_spec_step_accepted_len - 1 + self._speculation_request.cache_keys[i, 2] = seq.recovery_token_id + self._speculation_request.num_tokens[i] = seq.num_tokens + self._speculation_request.temps[i] = seq.draft_temperature if seq.draft_temperature is not None else seq.temperature bt = seq.draft_block_table bt_len = len(bt) if bt_len > 0: - self._block_tables_buf[i, :bt_len] = torch.tensor(bt, dtype=torch.int32, device=self.device) - self._block_tables_buf[i, bt_len:] = -1 - - # Send cmd + meta + fused payload (temps fused into int64 burst) - dist.send(self._cmd, dst=self.draft_runner_rank, group=self.async_pg) - dist.send(self._meta, dst=self.draft_runner_rank, group=self.async_pg) - temps_as_int64 = self._temps_buf.view(torch.int32).to(torch.int64) - send_int64( - self.async_pg, self.draft_runner_rank, - self._cache_keys, self._num_tokens_buf, - self._block_tables_buf.to(torch.int64), temps_as_int64, - ) + self._speculation_request.block_tables[i, :bt_len] = torch.tensor(bt, dtype=torch.int32, device=self.device) + self._speculation_request.block_tables[i, bt_len:] = -1 if eagle: - recovery_activations = torch.stack( - [seq.last_target_hidden_state for seq in seqs], dim=0, - ).to(self.device) - dist.send(recovery_activations.to(self.draft_dtype), - dst=self.draft_runner_rank, group=self.async_pg) - - # Send extend data for glue decode with fused extend - K = self.K - act_dim = recovery_activations.shape[-1] - for i, seq in enumerate(seqs): - self._extend_counts[i] = seq.extend_count - extend_eagle_acts = torch.zeros(B, K, act_dim, dtype=self.draft_dtype, device=self.device) - extend_token_ids = torch.zeros(B, K, dtype=torch.int64, device=self.device) - for i, seq in enumerate(seqs): + self._prepare_eagle_payload(seqs) + + return self._speculation_request + + def _prepare_eagle_payload(self, seqs: list[Sequence]): + for i, seq in enumerate(seqs): + self._speculation_request.recovery_activations[i, :] = seq.last_target_hidden_state + self._speculation_request.extend_counts[i] = seq.extend_count + if seq.extend_count > 0 and seq.extend_eagle_acts is not None: n = seq.extend_count - if n > 0 and seq.extend_eagle_acts is not None: - extend_eagle_acts[i, :n] = seq.extend_eagle_acts[:n].to(self.draft_dtype) - extend_token_ids[i, :n] = seq.extend_token_ids[:n] - dist.send(self._extend_counts, dst=self.draft_runner_rank, group=self.async_pg) - dist.send(extend_eagle_acts, dst=self.draft_runner_rank, group=self.async_pg) - dist.send(extend_token_ids, dst=self.draft_runner_rank, group=self.async_pg) - - # Recv into pre-allocated buffers - dist.recv(self._fused_response, src=self.draft_runner_rank, group=self.async_pg) - cache_hits = self._fused_response[:B] - speculations = self._fused_response[B:].view(B, self.K) - dist.recv(self._logits_q, src=self.draft_runner_rank, group=self.async_pg) - - return speculations, self._logits_q, cache_hits + self._speculation_request.extend_activations[i, :n] = seq.extend_eagle_acts[:n].to(self.draft_dtype) + self._speculation_request.extend_token_ids[i, :n] = seq.extend_token_ids[:n] + + def _make_speculation_request(self, seqs: list[Sequence], eagle: bool): + speculation_request = self._prepare_speculation_request(seqs, eagle) + speculation_request.send(self.async_pg, self.draft_runner_rank) + self._speculation_response.receive(self.async_pg, self.draft_runner_rank, batch_size=len(seqs)) + return self._speculation_response diff --git a/ssd/engine/step.py b/ssd/engine/step.py index f60939c..d136702 100644 --- a/ssd/engine/step.py +++ b/ssd/engine/step.py @@ -18,39 +18,40 @@ def __init__(self, scheduler: Scheduler): self.scheduler = scheduler @abstractmethod - def decode(self, seqs: list[Sequence]) -> int: + def prefill(self, seqs: list[Sequence], step_num: int = 0) -> int: pass @abstractmethod - def prefill(self, seqs: list[Sequence]) -> int: + def decode(self, seqs: list[Sequence], step_num: int = 0) -> int: pass class AutoRegressiveStep(InferenceStep): - def __init__(self, scheduler: Scheduler, model_runner: ModelRunner, tokenizer: AutoTokenizer): + def __init__(self, scheduler: Scheduler, model_runner: ModelRunner, tokenizer: AutoTokenizer, verbose: bool = False): super().__init__(scheduler) self.model_runner = model_runner self.tokenizer = tokenizer + self.verbose = verbose - def step(self, seqs: list[Sequence], is_prefill: bool) -> int: - if __debug__: + def step(self, seqs: list[Sequence], is_prefill: bool, step_num: int = 0) -> int: + if self.verbose: print(f'[auto_regressive_step] is_prefill={is_prefill}', flush=True) token_ids = self.model_runner.call("run", seqs, is_prefill) - if __debug__: + if self.verbose: decoded_tokens = decode_tokens(token_ids, self.tokenizer) print(f"[auto_regressive_step] generated tokens: {decoded_tokens}", flush=True) self.scheduler.postprocess(seqs, token_ids, is_prefill) return len(seqs) if not is_prefill else sum(len(seq) for seq in seqs) - def prefill(self, seqs: list[Sequence]) -> int: - return self.step(seqs, is_prefill=True) + def prefill(self, seqs: list[Sequence], step_num: int = 0) -> int: + return self.step(seqs, is_prefill=True, step_num=step_num) - def decode(self, seqs: list[Sequence]) -> int: - return self.step(seqs, is_prefill=False) + def decode(self, seqs: list[Sequence], step_num: int = 0) -> int: + return self.step(seqs, is_prefill=False, step_num=step_num) class SpecDecodeStep(InferenceStep): @@ -63,6 +64,7 @@ def __init__( eagle: bool, tokenizer: AutoTokenizer, async_spec: bool, + verbose: bool = False, ): super().__init__(scheduler) self.speculator = speculator @@ -70,16 +72,26 @@ def __init__( self.eagle = eagle self.tokenizer = tokenizer self.async_spec = async_spec + self.verbose = verbose - def prefill(self, seqs: list[Sequence]) -> int: + def prefill(self, seqs: list[Sequence], step_num: int = 0) -> int: # When doing async speculation and not Eagle, we can do draft and target prefills in parallel. - if not self.eagle and self.async_spec: - empty_verify_result = VerifyResult([], [], None) - self.speculator.prefill(seqs, empty_verify_result) - verify_result = self.verifier.prefill(seqs, eagle=False) - else: - verify_result = self.verifier.prefill(seqs, eagle=self.eagle) - self.speculator.prefill(seqs, verify_result) + # TEMPORARY: Disable prefill optimization of running draft and target prefills in parallel. + # if not self.eagle and self.async_spec: + # empty_verify_result = VerifyResult([], [], None) + # self.speculator.prefill(seqs, empty_verify_result) + # verify_result = self.verifier.prefill(seqs, eagle=False) + # else: + if self.verbose: + print(f"[SpecDecodeStep] Verifier prefill {step_num}", flush=True) + verify_result = self.verifier.prefill(seqs, eagle=self.eagle) + + if self.verbose: + print(f"[SpecDecodeStep] Speculator prefill {step_num}", flush=True) + self.speculator.prefill(seqs, verify_result) + + if self.verbose: + print(f"[SpecDecodeStep] Prefill {step_num} complete", flush=True) for seq in seqs: assert seq.recovery_token_id is not None @@ -88,7 +100,7 @@ def prefill(self, seqs: list[Sequence]) -> int: return sum(len(seq) for seq in seqs) - def decode(self, seqs: list[Sequence]) -> int: + def decode(self, seqs: list[Sequence], step_num: int = 0) -> int: _prof = os.environ.get("SSD_PROFILE", "0") == "1" if _prof: torch.cuda.synchronize() @@ -113,14 +125,14 @@ def decode(self, seqs: list[Sequence]) -> int: torch.cuda.synchronize() _t1 = perf_counter() - if __debug__: + if self.verbose: speculations = speculate_result.speculations - print(f"[SpecDecodeStep] speculations: {speculations}", flush=True) + print(f"[SpecDecodeStep] speculations {step_num}: {speculations}", flush=True) speculations_list = speculations.tolist() for i, speculation in enumerate(speculations_list): decoded_tokens = decode_tokens(speculation, self.tokenizer) - print(f"[SpecDecodeStep] speculation {i}: {decoded_tokens}", flush=True) + print(f"[SpecDecodeStep] speculation {step_num},{i}: {decoded_tokens}", flush=True) #### STEP 2: VERIFY #### out_verify_result = self.verifier.verify(seqs, speculate_result, eagle=self.eagle) @@ -129,12 +141,12 @@ def decode(self, seqs: list[Sequence]) -> int: torch.cuda.synchronize() _t2 = perf_counter() - if __debug__: + if self.verbose: recovery_tokens = out_verify_result.recovery_tokens new_suffixes = out_verify_result.new_suffixes for i, new_suffix in enumerate(new_suffixes): decoded_tokens = decode_tokens(new_suffix + [recovery_tokens[i]], self.tokenizer) - print(f"[SpecDecodeStep] verification {i}: {decoded_tokens}", flush=True) + print(f"[SpecDecodeStep] verification {step_num},{i}: {decoded_tokens}", flush=True) # Restore original seq state before postprocess (undo speculate + verify modifications) for seq, (orig_len, orig_nt, orig_lt, orig_ndc, orig_nct) in zip(seqs, saved): diff --git a/ssd/engine/verifier.py b/ssd/engine/verifier.py index c5412b6..7b2b793 100644 --- a/ssd/engine/verifier.py +++ b/ssd/engine/verifier.py @@ -20,6 +20,7 @@ def __init__( jit_speculate: bool = False, tokenizer: AutoTokenizer = None, metrics: dict = None, + verbose: bool = False, ): super().__init__(lookahead, device) self.target_model_runner = target_model_runner @@ -28,6 +29,7 @@ def __init__( self.jit_speculate = jit_speculate self.tokenizer = tokenizer self.metrics = metrics + self.verbose = verbose def prefill(self, seqs: list[Sequence], eagle: bool = False) -> VerifyResult: result = self.target_model_runner.call("run", seqs, True) @@ -114,7 +116,7 @@ def verify(self, seqs: list[Sequence], speculate_result: SpeculateResult, eagle: # # Debug: print recovery tokens detokenized - if __debug__ and recovery_tokens is not None and len(recovery_tokens) > 0: + if self.verbose and recovery_tokens is not None and len(recovery_tokens) > 0: recovery_texts = [] for token in recovery_tokens: try: @@ -138,7 +140,7 @@ def verify(self, seqs: list[Sequence], speculate_result: SpeculateResult, eagle: self.metrics["accepted_suffix_lens_on_miss"].append(suffix_len) # Print mean length of new suffixes for monitoring - if __debug__ and new_suffixes: + if self.verbose and new_suffixes: mean_suffix_len = sum([len(suffix) for suffix in new_suffixes]) / len(new_suffixes) print(f"[verify] mean new suffix length: {mean_suffix_len:.2f}", flush=True) diff --git a/ssd/models/eagle3_draft_llama3.py b/ssd/models/eagle3_draft_llama3.py index 4f5ec7d..a74dd41 100644 --- a/ssd/models/eagle3_draft_llama3.py +++ b/ssd/models/eagle3_draft_llama3.py @@ -242,7 +242,7 @@ def __init__( self.tp_group = tp_group self.tp_size = tp_size self.use_eagle = use_eagle - self.eagle_layers = eagle_layers if eagle_layers is not None else [] + self.eagle_layers = eagle_layers self.d_model_target = d_model_target self.d2t = {} # loaded by loader.py, converted to tensor after load_model self.t2d = {} # loaded by loader.py, converted to tensor after load_model diff --git a/ssd/utils/async_helpers/nccl_pack.py b/ssd/utils/async_helpers/nccl_pack.py deleted file mode 100644 index 3e592e8..0000000 --- a/ssd/utils/async_helpers/nccl_pack.py +++ /dev/null @@ -1,34 +0,0 @@ -import torch -import torch.distributed as dist - - -def concat_int64(*tensors: torch.Tensor) -> torch.Tensor: - """Concatenate tensors into a single flat int64 payload.""" - parts = [] - for t in tensors: - if t is None: - continue - if t.dtype != torch.int64: - t = t.to(torch.int64) - parts.append(t.reshape(-1)) - if not parts: - return torch.empty(0, dtype=torch.int64) - return torch.cat(parts, dim=0) - - -def send_int64(pg, dst: int, *tensors: torch.Tensor): - """Send many int64-compatible tensors as one fused payload in a fixed order.""" - payload = concat_int64(*tensors) - if payload.numel() == 0: - return - dist.send(payload, dst=dst, group=pg) - - -def recv_int64(pg, src: int, total_length: int, device: torch.device) -> torch.Tensor: - """Receive a fused int64 payload of known total length.""" - t = torch.empty((total_length,), dtype=torch.int64, device=device) - if total_length > 0: - dist.recv(t, src=src, group=pg) - return t - - diff --git a/ssd/utils/dist_utils.py b/ssd/utils/dist_utils.py new file mode 100644 index 0000000..859896c --- /dev/null +++ b/ssd/utils/dist_utils.py @@ -0,0 +1,76 @@ +"""Custom process group helper, copied from sglang to avoid circular dependency.""" + +import torch +from packaging import version as pkg_version + +torch_release = pkg_version.parse(torch.__version__).release + + +def init_custom_process_group( + backend=None, + init_method=None, + timeout=None, + world_size=-1, + rank=-1, + store=None, + group_name=None, + pg_options=None, + device_id=None, +): + from torch.distributed.distributed_c10d import ( + Backend, + PrefixStore, + _new_process_group_helper, + _world, + default_pg_timeout, + rendezvous, + ) + + assert (store is None) or ( + init_method is None + ), "Cannot specify both init_method and store." + + if store is not None: + assert world_size > 0, "world_size must be positive if using store" + assert rank >= 0, "rank must be non-negative if using store" + elif init_method is None: + init_method = "env://" + + if backend: + backend = Backend(backend) + else: + backend = Backend("undefined") + + if timeout is None: + timeout = default_pg_timeout + + # backward compatible API + if store is None: + rendezvous_iterator = rendezvous(init_method, rank, world_size, timeout=timeout) + store, rank, world_size = next(rendezvous_iterator) + store.set_timeout(timeout) + + # Use a PrefixStore to avoid accidental overrides of keys used by + # different systems (e.g. RPC) in case the store is multi-tenant. + store = PrefixStore(group_name, store) + + # NOTE: The pg_options parameter was renamed into backend_options in PyTorch 2.6.0 + # https://github.com/pytorch/pytorch/commit/a0c7029a75628cd5fa8df83c0de0ea98ee7fd844 + pg_options_param_name = ( + "backend_options" if torch_release >= (2, 6) else "pg_options" + ) + pg, _ = _new_process_group_helper( + world_size, + rank, + [], + backend, + store, + group_name=group_name, + **{pg_options_param_name: pg_options}, + timeout=timeout, + device_id=device_id, + ) + + _world.pg_group_ranks[pg] = {i: i for i in range(world_size)} + + return pg diff --git a/ssd/utils/loader.py b/ssd/utils/loader.py index f56ec80..7169e31 100644 --- a/ssd/utils/loader.py +++ b/ssd/utils/loader.py @@ -186,6 +186,8 @@ def load_eagle_model(model: nn.Module, path: str, packed_modules_mapping: dict, def load_safetensors_model(model: nn.Module, path: str, packed_modules_mapping: dict): """Load model weights from safetensors files""" safetensor_files = glob(os.path.join(path, "*.safetensors")) + assert safetensor_files, f"No safetensors files found at {path}" + print(f"[load_safetensors_model] Found {len(safetensor_files)} safetensors files at {path}") for file in tqdm(safetensor_files, desc="Loading model files"): with safe_open(file, "pt", "cpu") as f: for weight_name in f.keys(): diff --git a/ssd/utils/misc.py b/ssd/utils/misc.py index 1123718..df4f1c6 100644 --- a/ssd/utils/misc.py +++ b/ssd/utils/misc.py @@ -1,3 +1,4 @@ +import re from transformers import AutoTokenizer @@ -22,3 +23,9 @@ def decode_tokens(token_ids: list[int], tokenizer: AutoTokenizer) -> list[str]: except Exception: decoded.append(f"") return decoded + + +def compress_neg_ones_and_zeros(long_str: str) -> str: + sub1 = re.sub(r'-1(?:, -1){2,}', '-1, ..., -1', long_str) + sub2 = re.sub(r'0(?:, 0){2,}', '0, ..., 0', sub1) + return sub2 diff --git a/uv.lock b/uv.lock deleted file mode 100644 index 096d3a1..0000000 --- a/uv.lock +++ /dev/null @@ -1,1571 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11, <3.13" -resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'linux'", - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", - "python_full_version < '3.12' and sys_platform == 'linux'", - "python_full_version < '3.12' and sys_platform == 'win32'", - "python_full_version < '3.12' and sys_platform == 'emscripten'", - "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", -] - -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" }, -] - -[[package]] -name = "aiohttp" -version = "3.13.3" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "aiohappyeyeballs" }, - { name = "aiosignal" }, - { name = "attrs" }, - { name = "frozenlist" }, - { name = "multidict" }, - { name = "propcache" }, - { name = "yarl" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f1/4c/a164164834f03924d9a29dc3acd9e7ee58f95857e0b467f6d04298594ebb/aiohttp-3.13.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5b6073099fb654e0a068ae678b10feff95c5cae95bbfcbfa7af669d361a8aa6b", size = 746051, upload-time = "2026-01-03T17:29:43.287Z" }, - { url = "https://files.pythonhosted.org/packages/82/71/d5c31390d18d4f58115037c432b7e0348c60f6f53b727cad33172144a112/aiohttp-3.13.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cb93e166e6c28716c8c6aeb5f99dfb6d5ccf482d29fe9bf9a794110e6d0ab64", size = 499234, upload-time = "2026-01-03T17:29:44.822Z" }, - { url = "https://files.pythonhosted.org/packages/0e/c9/741f8ac91e14b1d2e7100690425a5b2b919a87a5075406582991fb7de920/aiohttp-3.13.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:28e027cf2f6b641693a09f631759b4d9ce9165099d2b5d92af9bd4e197690eea", size = 494979, upload-time = "2026-01-03T17:29:46.405Z" }, - { url = "https://files.pythonhosted.org/packages/75/b5/31d4d2e802dfd59f74ed47eba48869c1c21552c586d5e81a9d0d5c2ad640/aiohttp-3.13.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3b61b7169ababd7802f9568ed96142616a9118dd2be0d1866e920e77ec8fa92a", size = 1748297, upload-time = "2026-01-03T17:29:48.083Z" }, - { url = "https://files.pythonhosted.org/packages/1a/3e/eefad0ad42959f226bb79664826883f2687d602a9ae2941a18e0484a74d3/aiohttp-3.13.3-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:80dd4c21b0f6237676449c6baaa1039abae86b91636b6c91a7f8e61c87f89540", size = 1707172, upload-time = "2026-01-03T17:29:49.648Z" }, - { url = "https://files.pythonhosted.org/packages/c5/3a/54a64299fac2891c346cdcf2aa6803f994a2e4beeaf2e5a09dcc54acc842/aiohttp-3.13.3-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:65d2ccb7eabee90ce0503c17716fc77226be026dcc3e65cce859a30db715025b", size = 1805405, upload-time = "2026-01-03T17:29:51.244Z" }, - { url = "https://files.pythonhosted.org/packages/6c/70/ddc1b7169cf64075e864f64595a14b147a895a868394a48f6a8031979038/aiohttp-3.13.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5b179331a481cb5529fca8b432d8d3c7001cb217513c94cd72d668d1248688a3", size = 1899449, upload-time = "2026-01-03T17:29:53.938Z" }, - { url = "https://files.pythonhosted.org/packages/a1/7e/6815aab7d3a56610891c76ef79095677b8b5be6646aaf00f69b221765021/aiohttp-3.13.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9d4c940f02f49483b18b079d1c27ab948721852b281f8b015c058100e9421dd1", size = 1748444, upload-time = "2026-01-03T17:29:55.484Z" }, - { url = "https://files.pythonhosted.org/packages/6b/f2/073b145c4100da5511f457dc0f7558e99b2987cf72600d42b559db856fbc/aiohttp-3.13.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f9444f105664c4ce47a2a7171a2418bce5b7bae45fb610f4e2c36045d85911d3", size = 1606038, upload-time = "2026-01-03T17:29:57.179Z" }, - { url = "https://files.pythonhosted.org/packages/0a/c1/778d011920cae03ae01424ec202c513dc69243cf2db303965615b81deeea/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:694976222c711d1d00ba131904beb60534f93966562f64440d0c9d41b8cdb440", size = 1724156, upload-time = "2026-01-03T17:29:58.914Z" }, - { url = "https://files.pythonhosted.org/packages/0e/cb/3419eabf4ec1e9ec6f242c32b689248365a1cf621891f6f0386632525494/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:f33ed1a2bf1997a36661874b017f5c4b760f41266341af36febaf271d179f6d7", size = 1722340, upload-time = "2026-01-03T17:30:01.962Z" }, - { url = "https://files.pythonhosted.org/packages/7a/e5/76cf77bdbc435bf233c1f114edad39ed4177ccbfab7c329482b179cff4f4/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:e636b3c5f61da31a92bf0d91da83e58fdfa96f178ba682f11d24f31944cdd28c", size = 1783041, upload-time = "2026-01-03T17:30:03.609Z" }, - { url = "https://files.pythonhosted.org/packages/9d/d4/dd1ca234c794fd29c057ce8c0566b8ef7fd6a51069de5f06fa84b9a1971c/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:5d2d94f1f5fcbe40838ac51a6ab5704a6f9ea42e72ceda48de5e6b898521da51", size = 1596024, upload-time = "2026-01-03T17:30:05.132Z" }, - { url = "https://files.pythonhosted.org/packages/55/58/4345b5f26661a6180afa686c473620c30a66afdf120ed3dd545bbc809e85/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2be0e9ccf23e8a94f6f0650ce06042cefc6ac703d0d7ab6c7a917289f2539ad4", size = 1804590, upload-time = "2026-01-03T17:30:07.135Z" }, - { url = "https://files.pythonhosted.org/packages/7b/06/05950619af6c2df7e0a431d889ba2813c9f0129cec76f663e547a5ad56f2/aiohttp-3.13.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9af5e68ee47d6534d36791bbe9b646d2a7c7deb6fc24d7943628edfbb3581f29", size = 1740355, upload-time = "2026-01-03T17:30:09.083Z" }, - { url = "https://files.pythonhosted.org/packages/3e/80/958f16de79ba0422d7c1e284b2abd0c84bc03394fbe631d0a39ffa10e1eb/aiohttp-3.13.3-cp311-cp311-win32.whl", hash = "sha256:a2212ad43c0833a873d0fb3c63fa1bacedd4cf6af2fee62bf4b739ceec3ab239", size = 433701, upload-time = "2026-01-03T17:30:10.869Z" }, - { url = "https://files.pythonhosted.org/packages/dc/f2/27cdf04c9851712d6c1b99df6821a6623c3c9e55956d4b1e318c337b5a48/aiohttp-3.13.3-cp311-cp311-win_amd64.whl", hash = "sha256:642f752c3eb117b105acbd87e2c143de710987e09860d674e068c4c2c441034f", size = 457678, upload-time = "2026-01-03T17:30:12.719Z" }, - { url = "https://files.pythonhosted.org/packages/a0/be/4fc11f202955a69e0db803a12a062b8379c970c7c84f4882b6da17337cc1/aiohttp-3.13.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:b903a4dfee7d347e2d87697d0713be59e0b87925be030c9178c5faa58ea58d5c", size = 739732, upload-time = "2026-01-03T17:30:14.23Z" }, - { url = "https://files.pythonhosted.org/packages/97/2c/621d5b851f94fa0bb7430d6089b3aa970a9d9b75196bc93bb624b0db237a/aiohttp-3.13.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a45530014d7a1e09f4a55f4f43097ba0fd155089372e105e4bff4ca76cb1b168", size = 494293, upload-time = "2026-01-03T17:30:15.96Z" }, - { url = "https://files.pythonhosted.org/packages/5d/43/4be01406b78e1be8320bb8316dc9c42dbab553d281c40364e0f862d5661c/aiohttp-3.13.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:27234ef6d85c914f9efeb77ff616dbf4ad2380be0cda40b4db086ffc7ddd1b7d", size = 493533, upload-time = "2026-01-03T17:30:17.431Z" }, - { url = "https://files.pythonhosted.org/packages/8d/a8/5a35dc56a06a2c90d4742cbf35294396907027f80eea696637945a106f25/aiohttp-3.13.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d32764c6c9aafb7fb55366a224756387cd50bfa720f32b88e0e6fa45b27dcf29", size = 1737839, upload-time = "2026-01-03T17:30:19.422Z" }, - { url = "https://files.pythonhosted.org/packages/bf/62/4b9eeb331da56530bf2e198a297e5303e1c1ebdceeb00fe9b568a65c5a0c/aiohttp-3.13.3-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:b1a6102b4d3ebc07dad44fbf07b45bb600300f15b552ddf1851b5390202ea2e3", size = 1703932, upload-time = "2026-01-03T17:30:21.756Z" }, - { url = "https://files.pythonhosted.org/packages/7c/f6/af16887b5d419e6a367095994c0b1332d154f647e7dc2bd50e61876e8e3d/aiohttp-3.13.3-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c014c7ea7fb775dd015b2d3137378b7be0249a448a1612268b5a90c2d81de04d", size = 1771906, upload-time = "2026-01-03T17:30:23.932Z" }, - { url = "https://files.pythonhosted.org/packages/ce/83/397c634b1bcc24292fa1e0c7822800f9f6569e32934bdeef09dae7992dfb/aiohttp-3.13.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2b8d8ddba8f95ba17582226f80e2de99c7a7948e66490ef8d947e272a93e9463", size = 1871020, upload-time = "2026-01-03T17:30:26Z" }, - { url = "https://files.pythonhosted.org/packages/86/f6/a62cbbf13f0ac80a70f71b1672feba90fdb21fd7abd8dbf25c0105fb6fa3/aiohttp-3.13.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9ae8dd55c8e6c4257eae3a20fd2c8f41edaea5992ed67156642493b8daf3cecc", size = 1755181, upload-time = "2026-01-03T17:30:27.554Z" }, - { url = "https://files.pythonhosted.org/packages/0a/87/20a35ad487efdd3fba93d5843efdfaa62d2f1479eaafa7453398a44faf13/aiohttp-3.13.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:01ad2529d4b5035578f5081606a465f3b814c542882804e2e8cda61adf5c71bf", size = 1561794, upload-time = "2026-01-03T17:30:29.254Z" }, - { url = "https://files.pythonhosted.org/packages/de/95/8fd69a66682012f6716e1bc09ef8a1a2a91922c5725cb904689f112309c4/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bb4f7475e359992b580559e008c598091c45b5088f28614e855e42d39c2f1033", size = 1697900, upload-time = "2026-01-03T17:30:31.033Z" }, - { url = "https://files.pythonhosted.org/packages/e5/66/7b94b3b5ba70e955ff597672dad1691333080e37f50280178967aff68657/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:c19b90316ad3b24c69cd78d5c9b4f3aa4497643685901185b65166293d36a00f", size = 1728239, upload-time = "2026-01-03T17:30:32.703Z" }, - { url = "https://files.pythonhosted.org/packages/47/71/6f72f77f9f7d74719692ab65a2a0252584bf8d5f301e2ecb4c0da734530a/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:96d604498a7c782cb15a51c406acaea70d8c027ee6b90c569baa6e7b93073679", size = 1740527, upload-time = "2026-01-03T17:30:34.695Z" }, - { url = "https://files.pythonhosted.org/packages/fa/b4/75ec16cbbd5c01bdaf4a05b19e103e78d7ce1ef7c80867eb0ace42ff4488/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:084911a532763e9d3dd95adf78a78f4096cd5f58cdc18e6fdbc1b58417a45423", size = 1554489, upload-time = "2026-01-03T17:30:36.864Z" }, - { url = "https://files.pythonhosted.org/packages/52/8f/bc518c0eea29f8406dcf7ed1f96c9b48e3bc3995a96159b3fc11f9e08321/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:7a4a94eb787e606d0a09404b9c38c113d3b099d508021faa615d70a0131907ce", size = 1767852, upload-time = "2026-01-03T17:30:39.433Z" }, - { url = "https://files.pythonhosted.org/packages/9d/f2/a07a75173124f31f11ea6f863dc44e6f09afe2bca45dd4e64979490deab1/aiohttp-3.13.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:87797e645d9d8e222e04160ee32aa06bc5c163e8499f24db719e7852ec23093a", size = 1722379, upload-time = "2026-01-03T17:30:41.081Z" }, - { url = "https://files.pythonhosted.org/packages/3c/4a/1a3fee7c21350cac78e5c5cef711bac1b94feca07399f3d406972e2d8fcd/aiohttp-3.13.3-cp312-cp312-win32.whl", hash = "sha256:b04be762396457bef43f3597c991e192ee7da460a4953d7e647ee4b1c28e7046", size = 428253, upload-time = "2026-01-03T17:30:42.644Z" }, - { url = "https://files.pythonhosted.org/packages/d9/b7/76175c7cb4eb73d91ad63c34e29fc4f77c9386bba4a65b53ba8e05ee3c39/aiohttp-3.13.3-cp312-cp312-win_amd64.whl", hash = "sha256:e3531d63d3bdfa7e3ac5e9b27b2dd7ec9df3206a98e0b3445fa906f233264c57", size = 455407, upload-time = "2026-01-03T17:30:44.195Z" }, -] - -[[package]] -name = "aiosignal" -version = "1.4.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "frozenlist" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/61/62/06741b579156360248d1ec624842ad0edf697050bbaf7c3e46394e106ad1/aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7", size = 25007, upload-time = "2025-07-03T22:54:43.528Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fb/76/641ae371508676492379f16e2fa48f4e2c11741bd63c48be4b12a6b09cba/aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e", size = 7490, upload-time = "2025-07-03T22:54:42.156Z" }, -] - -[[package]] -name = "annotated-types" -version = "0.7.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" }, -] - -[[package]] -name = "anyio" -version = "4.12.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "idna" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" }, -] - -[[package]] -name = "apache-tvm-ffi" -version = "0.1.9" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/6f/60/1e787a0b5ebf318483235be2a689ee367173983067e441b8379564f667c0/apache_tvm_ffi-0.1.9.tar.gz", hash = "sha256:d2d402587e8906de0a07f4746aa78f3d452c7efe3625d4bb39ac2ad693bce530", size = 2513731, upload-time = "2026-02-27T19:28:06.602Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b0/44/130571cede8704b1412e48b3dd78de41b4d31b68241f954743d1a9925bd9/apache_tvm_ffi-0.1.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:932d94e29595a47109f0ef6e0b4209a934451582954ea8b426e758d6b3e307e3", size = 2070368, upload-time = "2026-02-27T19:27:13.779Z" }, - { url = "https://files.pythonhosted.org/packages/42/b1/9f2cfd6d49b03c5d4ec5c12548d911e2e01265be783f343103b4df716765/apache_tvm_ffi-0.1.9-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:c0449fc3802987c3652bea266ffda2934a6f69c80bba791a3f55b91040656a18", size = 2231154, upload-time = "2026-02-27T19:27:15.691Z" }, - { url = "https://files.pythonhosted.org/packages/55/43/63faedea83494e99122466a993bcdccd31cf93c7e8a0d56731120e82e2b9/apache_tvm_ffi-0.1.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6f16d73a82a9e68a439b7d233d48b1b929be17fe92df4bbf1ee2274e573144a3", size = 2323130, upload-time = "2026-02-27T19:27:17.259Z" }, - { url = "https://files.pythonhosted.org/packages/27/96/d735bc4c528efaf0a8a954076963c727aad2dde8577641aa9025ec4f2d52/apache_tvm_ffi-0.1.9-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:01ebb1308b2666c206aa9a4015eb48f03a5d98ea2e9cfb002bd5e2ca0b9c7ef3", size = 2159854, upload-time = "2026-02-27T19:27:18.789Z" }, - { url = "https://files.pythonhosted.org/packages/e4/3b/6cfc82a3ab5d9e501bbcee5df36eebe09da1c384461d7a55e2a17776d117/apache_tvm_ffi-0.1.9-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:21365abd2a2a1a6d3b4e6e4f048309651125becfa795440c3607f3cc27d30ac7", size = 2307140, upload-time = "2026-02-27T19:27:20.222Z" }, - { url = "https://files.pythonhosted.org/packages/5f/61/3ffe1fe3190e12807a12b72ed0d291c7f66569c2e7c3571fde18175f19e1/apache_tvm_ffi-0.1.9-cp311-cp311-win_amd64.whl", hash = "sha256:9ee710a9fba3d9ff9747870bbd7e2175eb8d5b9c791f17fd645f35f6dab3f8aa", size = 1993218, upload-time = "2026-02-27T19:27:22.043Z" }, - { url = "https://files.pythonhosted.org/packages/df/f2/b8c4b151169f6d7ba8773c8af68b2e0c1013d7fb3f1bdf87573f47157ce9/apache_tvm_ffi-0.1.9-cp312-abi3-macosx_11_0_arm64.whl", hash = "sha256:49e52350b0470654847de752e65603b604a4d3323e7e9f5e8a982f44acc4c143", size = 2041756, upload-time = "2026-02-27T19:27:23.931Z" }, - { url = "https://files.pythonhosted.org/packages/a7/c0/6d3d54f50012255b41bc3e24944c086f63c4707c8686c7c6780e9283eb96/apache_tvm_ffi-0.1.9-cp312-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7d503029e66c43b1a1cb1a42a1e9bb428c8a28dcbdec31c28e705472ca648a3a", size = 2203712, upload-time = "2026-02-27T19:27:25.867Z" }, - { url = "https://files.pythonhosted.org/packages/c6/dd/2bab4c6cd86257dbf99e93452a1af833113f8dc3e25a25579f6e4e4c8a94/apache_tvm_ffi-0.1.9-cp312-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28241371934ea8af10d5067087ba1229ebddded7b2c02d33a258ec2a96df8c46", size = 2299704, upload-time = "2026-02-27T19:27:27.477Z" }, - { url = "https://files.pythonhosted.org/packages/7a/4a/b469bcb2e1014cb84d336d2a59f42958a058251c577a4c2680cacad346e2/apache_tvm_ffi-0.1.9-cp312-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:87cacce81df55685fc6a76e1e3c5db1200e85e87bf5974b692c59d131b7bc622", size = 2130865, upload-time = "2026-02-27T19:27:29.092Z" }, - { url = "https://files.pythonhosted.org/packages/70/ef/5402da5d37f5270fd88ea0348acca78dba9be8bdbf6c2bcae0935eb03ef1/apache_tvm_ffi-0.1.9-cp312-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f45eb43499acac45ff6c93564f0ff2d3ca27b69656d540fd56ce59d51c0b4c65", size = 2278991, upload-time = "2026-02-27T19:27:30.729Z" }, - { url = "https://files.pythonhosted.org/packages/b5/23/1b7dc5f0807f83098183a57db6ee85b2c93b646d74a6e03781c9208aaeb0/apache_tvm_ffi-0.1.9-cp312-abi3-win_amd64.whl", hash = "sha256:d1dcf4c041d5ec05e3da1d545800c33cdbb95c113baa7705085ff79fa262752b", size = 1973200, upload-time = "2026-02-27T19:27:32.367Z" }, -] - -[[package]] -name = "attrs" -version = "25.4.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" }, -] - -[[package]] -name = "certifi" -version = "2026.2.25" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" }, -] - -[[package]] -name = "charset-normalizer" -version = "3.4.4" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/13/69/33ddede1939fdd074bce5434295f38fae7136463422fe4fd3e0e89b98062/charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a", size = 129418, upload-time = "2025-10-14T04:42:32.879Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ed/27/c6491ff4954e58a10f69ad90aca8a1b6fe9c5d3c6f380907af3c37435b59/charset_normalizer-3.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e1fcf0720908f200cd21aa4e6750a48ff6ce4afe7ff5a79a90d5ed8a08296f8", size = 206988, upload-time = "2025-10-14T04:40:33.79Z" }, - { url = "https://files.pythonhosted.org/packages/94/59/2e87300fe67ab820b5428580a53cad894272dbb97f38a7a814a2a1ac1011/charset_normalizer-3.4.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f819d5fe9234f9f82d75bdfa9aef3a3d72c4d24a6e57aeaebba32a704553aa0", size = 147324, upload-time = "2025-10-14T04:40:34.961Z" }, - { url = "https://files.pythonhosted.org/packages/07/fb/0cf61dc84b2b088391830f6274cb57c82e4da8bbc2efeac8c025edb88772/charset_normalizer-3.4.4-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a59cb51917aa591b1c4e6a43c132f0cdc3c76dbad6155df4e28ee626cc77a0a3", size = 142742, upload-time = "2025-10-14T04:40:36.105Z" }, - { url = "https://files.pythonhosted.org/packages/62/8b/171935adf2312cd745d290ed93cf16cf0dfe320863ab7cbeeae1dcd6535f/charset_normalizer-3.4.4-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8ef3c867360f88ac904fd3f5e1f902f13307af9052646963ee08ff4f131adafc", size = 160863, upload-time = "2025-10-14T04:40:37.188Z" }, - { url = "https://files.pythonhosted.org/packages/09/73/ad875b192bda14f2173bfc1bc9a55e009808484a4b256748d931b6948442/charset_normalizer-3.4.4-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d9e45d7faa48ee908174d8fe84854479ef838fc6a705c9315372eacbc2f02897", size = 157837, upload-time = "2025-10-14T04:40:38.435Z" }, - { url = "https://files.pythonhosted.org/packages/6d/fc/de9cce525b2c5b94b47c70a4b4fb19f871b24995c728e957ee68ab1671ea/charset_normalizer-3.4.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:840c25fb618a231545cbab0564a799f101b63b9901f2569faecd6b222ac72381", size = 151550, upload-time = "2025-10-14T04:40:40.053Z" }, - { url = "https://files.pythonhosted.org/packages/55/c2/43edd615fdfba8c6f2dfbd459b25a6b3b551f24ea21981e23fb768503ce1/charset_normalizer-3.4.4-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ca5862d5b3928c4940729dacc329aa9102900382fea192fc5e52eb69d6093815", size = 149162, upload-time = "2025-10-14T04:40:41.163Z" }, - { url = "https://files.pythonhosted.org/packages/03/86/bde4ad8b4d0e9429a4e82c1e8f5c659993a9a863ad62c7df05cf7b678d75/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9c7f57c3d666a53421049053eaacdd14bbd0a528e2186fcb2e672effd053bb0", size = 150019, upload-time = "2025-10-14T04:40:42.276Z" }, - { url = "https://files.pythonhosted.org/packages/1f/86/a151eb2af293a7e7bac3a739b81072585ce36ccfb4493039f49f1d3cae8c/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:277e970e750505ed74c832b4bf75dac7476262ee2a013f5574dd49075879e161", size = 143310, upload-time = "2025-10-14T04:40:43.439Z" }, - { url = "https://files.pythonhosted.org/packages/b5/fe/43dae6144a7e07b87478fdfc4dbe9efd5defb0e7ec29f5f58a55aeef7bf7/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:31fd66405eaf47bb62e8cd575dc621c56c668f27d46a61d975a249930dd5e2a4", size = 162022, upload-time = "2025-10-14T04:40:44.547Z" }, - { url = "https://files.pythonhosted.org/packages/80/e6/7aab83774f5d2bca81f42ac58d04caf44f0cc2b65fc6db2b3b2e8a05f3b3/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:0d3d8f15c07f86e9ff82319b3d9ef6f4bf907608f53fe9d92b28ea9ae3d1fd89", size = 149383, upload-time = "2025-10-14T04:40:46.018Z" }, - { url = "https://files.pythonhosted.org/packages/4f/e8/b289173b4edae05c0dde07f69f8db476a0b511eac556dfe0d6bda3c43384/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:9f7fcd74d410a36883701fafa2482a6af2ff5ba96b9a620e9e0721e28ead5569", size = 159098, upload-time = "2025-10-14T04:40:47.081Z" }, - { url = "https://files.pythonhosted.org/packages/d8/df/fe699727754cae3f8478493c7f45f777b17c3ef0600e28abfec8619eb49c/charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ebf3e58c7ec8a8bed6d66a75d7fb37b55e5015b03ceae72a8e7c74495551e224", size = 152991, upload-time = "2025-10-14T04:40:48.246Z" }, - { url = "https://files.pythonhosted.org/packages/1a/86/584869fe4ddb6ffa3bd9f491b87a01568797fb9bd8933f557dba9771beaf/charset_normalizer-3.4.4-cp311-cp311-win32.whl", hash = "sha256:eecbc200c7fd5ddb9a7f16c7decb07b566c29fa2161a16cf67b8d068bd21690a", size = 99456, upload-time = "2025-10-14T04:40:49.376Z" }, - { url = "https://files.pythonhosted.org/packages/65/f6/62fdd5feb60530f50f7e38b4f6a1d5203f4d16ff4f9f0952962c044e919a/charset_normalizer-3.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:5ae497466c7901d54b639cf42d5b8c1b6a4fead55215500d2f486d34db48d016", size = 106978, upload-time = "2025-10-14T04:40:50.844Z" }, - { url = "https://files.pythonhosted.org/packages/7a/9d/0710916e6c82948b3be62d9d398cb4fcf4e97b56d6a6aeccd66c4b2f2bd5/charset_normalizer-3.4.4-cp311-cp311-win_arm64.whl", hash = "sha256:65e2befcd84bc6f37095f5961e68a6f077bf44946771354a28ad434c2cce0ae1", size = 99969, upload-time = "2025-10-14T04:40:52.272Z" }, - { url = "https://files.pythonhosted.org/packages/f3/85/1637cd4af66fa687396e757dec650f28025f2a2f5a5531a3208dc0ec43f2/charset_normalizer-3.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0a98e6759f854bd25a58a73fa88833fba3b7c491169f86ce1180c948ab3fd394", size = 208425, upload-time = "2025-10-14T04:40:53.353Z" }, - { url = "https://files.pythonhosted.org/packages/9d/6a/04130023fef2a0d9c62d0bae2649b69f7b7d8d24ea5536feef50551029df/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b5b290ccc2a263e8d185130284f8501e3e36c5e02750fc6b6bdeb2e9e96f1e25", size = 148162, upload-time = "2025-10-14T04:40:54.558Z" }, - { url = "https://files.pythonhosted.org/packages/78/29/62328d79aa60da22c9e0b9a66539feae06ca0f5a4171ac4f7dc285b83688/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74bb723680f9f7a6234dcf67aea57e708ec1fbdf5699fb91dfd6f511b0a320ef", size = 144558, upload-time = "2025-10-14T04:40:55.677Z" }, - { url = "https://files.pythonhosted.org/packages/86/bb/b32194a4bf15b88403537c2e120b817c61cd4ecffa9b6876e941c3ee38fe/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f1e34719c6ed0b92f418c7c780480b26b5d9c50349e9a9af7d76bf757530350d", size = 161497, upload-time = "2025-10-14T04:40:57.217Z" }, - { url = "https://files.pythonhosted.org/packages/19/89/a54c82b253d5b9b111dc74aca196ba5ccfcca8242d0fb64146d4d3183ff1/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2437418e20515acec67d86e12bf70056a33abdacb5cb1655042f6538d6b085a8", size = 159240, upload-time = "2025-10-14T04:40:58.358Z" }, - { url = "https://files.pythonhosted.org/packages/c0/10/d20b513afe03acc89ec33948320a5544d31f21b05368436d580dec4e234d/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11d694519d7f29d6cd09f6ac70028dba10f92f6cdd059096db198c283794ac86", size = 153471, upload-time = "2025-10-14T04:40:59.468Z" }, - { url = "https://files.pythonhosted.org/packages/61/fa/fbf177b55bdd727010f9c0a3c49eefa1d10f960e5f09d1d887bf93c2e698/charset_normalizer-3.4.4-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ac1c4a689edcc530fc9d9aa11f5774b9e2f33f9a0c6a57864e90908f5208d30a", size = 150864, upload-time = "2025-10-14T04:41:00.623Z" }, - { url = "https://files.pythonhosted.org/packages/05/12/9fbc6a4d39c0198adeebbde20b619790e9236557ca59fc40e0e3cebe6f40/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:21d142cc6c0ec30d2efee5068ca36c128a30b0f2c53c1c07bd78cb6bc1d3be5f", size = 150647, upload-time = "2025-10-14T04:41:01.754Z" }, - { url = "https://files.pythonhosted.org/packages/ad/1f/6a9a593d52e3e8c5d2b167daf8c6b968808efb57ef4c210acb907c365bc4/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:5dbe56a36425d26d6cfb40ce79c314a2e4dd6211d51d6d2191c00bed34f354cc", size = 145110, upload-time = "2025-10-14T04:41:03.231Z" }, - { url = "https://files.pythonhosted.org/packages/30/42/9a52c609e72471b0fc54386dc63c3781a387bb4fe61c20231a4ebcd58bdd/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5bfbb1b9acf3334612667b61bd3002196fe2a1eb4dd74d247e0f2a4d50ec9bbf", size = 162839, upload-time = "2025-10-14T04:41:04.715Z" }, - { url = "https://files.pythonhosted.org/packages/c4/5b/c0682bbf9f11597073052628ddd38344a3d673fda35a36773f7d19344b23/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:d055ec1e26e441f6187acf818b73564e6e6282709e9bcb5b63f5b23068356a15", size = 150667, upload-time = "2025-10-14T04:41:05.827Z" }, - { url = "https://files.pythonhosted.org/packages/e4/24/a41afeab6f990cf2daf6cb8c67419b63b48cf518e4f56022230840c9bfb2/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:af2d8c67d8e573d6de5bc30cdb27e9b95e49115cd9baad5ddbd1a6207aaa82a9", size = 160535, upload-time = "2025-10-14T04:41:06.938Z" }, - { url = "https://files.pythonhosted.org/packages/2a/e5/6a4ce77ed243c4a50a1fecca6aaaab419628c818a49434be428fe24c9957/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:780236ac706e66881f3b7f2f32dfe90507a09e67d1d454c762cf642e6e1586e0", size = 154816, upload-time = "2025-10-14T04:41:08.101Z" }, - { url = "https://files.pythonhosted.org/packages/a8/ef/89297262b8092b312d29cdb2517cb1237e51db8ecef2e9af5edbe7b683b1/charset_normalizer-3.4.4-cp312-cp312-win32.whl", hash = "sha256:5833d2c39d8896e4e19b689ffc198f08ea58116bee26dea51e362ecc7cd3ed26", size = 99694, upload-time = "2025-10-14T04:41:09.23Z" }, - { url = "https://files.pythonhosted.org/packages/3d/2d/1e5ed9dd3b3803994c155cd9aacb60c82c331bad84daf75bcb9c91b3295e/charset_normalizer-3.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:a79cfe37875f822425b89a82333404539ae63dbdddf97f84dcbc3d339aae9525", size = 107131, upload-time = "2025-10-14T04:41:10.467Z" }, - { url = "https://files.pythonhosted.org/packages/d0/d9/0ed4c7098a861482a7b6a95603edce4c0d9db2311af23da1fb2b75ec26fc/charset_normalizer-3.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:376bec83a63b8021bb5c8ea75e21c4ccb86e7e45ca4eb81146091b56599b80c3", size = 100390, upload-time = "2025-10-14T04:41:11.915Z" }, - { url = "https://files.pythonhosted.org/packages/0a/4c/925909008ed5a988ccbb72dcc897407e5d6d3bd72410d69e051fc0c14647/charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f", size = 53402, upload-time = "2025-10-14T04:42:31.76Z" }, -] - -[[package]] -name = "click" -version = "8.3.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "colorama", marker = "sys_platform == 'win32'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" }, -] - -[[package]] -name = "colorama" -version = "0.4.6" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" }, -] - -[[package]] -name = "cuda-bindings" -version = "13.1.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "cuda-pathfinder" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/b0/58/b8d4c7c5fb29ba46088a7e78d1065484219f8fe41a08adc4a85b1ee56149/cuda_bindings-13.1.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5f5a6ade0ad45096568bc4dd1eb3377b65884d29124338fe9a4353130ef6631", size = 15771605, upload-time = "2025-12-09T22:05:48.266Z" }, - { url = "https://files.pythonhosted.org/packages/17/af/710403f76f2d608d483d87089465e1f666351641dbd73d19bd025e652bad/cuda_bindings-13.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9348f69b03b257f07159dd4c869615e139722c2bd81e96c66f6b8f77615efd82", size = 16338970, upload-time = "2025-12-09T22:05:50.598Z" }, - { url = "https://files.pythonhosted.org/packages/64/1c/e7ea27d4cb7d07331c88e3bbed3cacc947d2237471801086c7447b3e195d/cuda_bindings-13.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:ec33b84f4bd65a86a734427f2b9cb8f221bedab2c4cfb681488cabc82f1d64ab", size = 15210672, upload-time = "2025-12-09T22:05:53.369Z" }, - { url = "https://files.pythonhosted.org/packages/53/3d/c8ed9d169843091f3f0d6b8218e826fd59520a37e0434c204feada597988/cuda_bindings-13.1.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e75ad0cb863330df784236d289612d71ca855c013d19ae00e5693574abd6915", size = 15530160, upload-time = "2025-12-09T22:05:55.386Z" }, - { url = "https://files.pythonhosted.org/packages/4a/8e/368295623ee43fba622909d780fbb6863efc1638dff55f67a0f04eac6470/cuda_bindings-13.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25785d1a3cdcd98f151240fd5efd025609319a6720a217dee2a929241749d488", size = 16110386, upload-time = "2025-12-09T22:05:57.71Z" }, - { url = "https://files.pythonhosted.org/packages/60/1f/ecc4701ade3e85f091c625a920574527b9daf7fb354189fbfbc5516af6cd/cuda_bindings-13.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:ccde9c95c0e953b31fe7731bb08da9d0a34b1770498df9a3c156fdfdbe3951ad", size = 15250028, upload-time = "2025-12-09T22:06:00.346Z" }, -] - -[[package]] -name = "cuda-pathfinder" -version = "1.4.0" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ff/60/d8f1dbfb7f06b94c662e98c95189e6f39b817da638bc8fcea0d003f89e5d/cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118", size = 38406, upload-time = "2026-02-25T22:13:00.807Z" }, -] - -[[package]] -name = "cuda-python" -version = "13.1.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "cuda-bindings" }, - { name = "cuda-pathfinder" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/cd/08/b5e3b9822662d72d540d830531e3ab6a7cabbda3dd56175696aabccfeb76/cuda_python-13.1.1-py3-none-any.whl", hash = "sha256:944cc4fe6482673d28dd545797a28840945a1668739328fa2ad1e9be4f7050d9", size = 8038, upload-time = "2025-12-09T22:13:10.719Z" }, -] - -[[package]] -name = "datasets" -version = "4.6.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "dill" }, - { name = "filelock" }, - { name = "fsspec", extra = ["http"] }, - { name = "httpx" }, - { name = "huggingface-hub" }, - { name = "multiprocess" }, - { name = "numpy" }, - { name = "packaging" }, - { name = "pandas" }, - { name = "pyarrow" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "tqdm" }, - { name = "xxhash" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/d7/94/eb81c6fe32e9b6ef92223141b5a553aeff2e9456968424a8533cbe88f476/datasets-4.6.1.tar.gz", hash = "sha256:140ce500bc41939ff6ce995702d66b1f4b2ee7f117bb9b07512fab6804d4070a", size = 593865, upload-time = "2026-02-27T23:26:49.482Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/37/f0/99fe6eb530c7ee9ee1faee48059eb8a6437f80c893a496b98a78864e0fc6/datasets-4.6.1-py3-none-any.whl", hash = "sha256:f53228e6dadc9f837037b1bf3051d7d8c054abbb3eb29f1f022926e08090e0da", size = 520667, upload-time = "2026-02-27T23:26:46.855Z" }, -] - -[[package]] -name = "dill" -version = "0.4.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/12/80/630b4b88364e9a8c8c5797f4602d0f76ef820909ee32f0bacb9f90654042/dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0", size = 186976, upload-time = "2025-04-16T00:41:48.867Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/50/3d/9373ad9c56321fdab5b41197068e1d8c25883b3fea29dd361f9b55116869/dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049", size = 119668, upload-time = "2025-04-16T00:41:47.671Z" }, -] - -[[package]] -name = "einops" -version = "0.8.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/2c/77/850bef8d72ffb9219f0b1aac23fbc1bf7d038ee6ea666f331fa273031aa2/einops-0.8.2.tar.gz", hash = "sha256:609da665570e5e265e27283aab09e7f279ade90c4f01bcfca111f3d3e13f2827", size = 56261, upload-time = "2026-01-26T04:13:17.638Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2a/09/f8d8f8f31e4483c10a906437b4ce31bdf3d6d417b73fe33f1a8b59e34228/einops-0.8.2-py3-none-any.whl", hash = "sha256:54058201ac7087911181bfec4af6091bb59380360f069276601256a76af08193", size = 65638, upload-time = "2026-01-26T04:13:18.546Z" }, -] - -[[package]] -name = "filelock" -version = "3.25.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/77/18/a1fd2231c679dcb9726204645721b12498aeac28e1ad0601038f94b42556/filelock-3.25.0.tar.gz", hash = "sha256:8f00faf3abf9dc730a1ffe9c354ae5c04e079ab7d3a683b7c32da5dd05f26af3", size = 40158, upload-time = "2026-03-01T15:08:45.916Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f9/0b/de6f54d4a8bedfe8645c41497f3c18d749f0bd3218170c667bf4b81d0cdd/filelock-3.25.0-py3-none-any.whl", hash = "sha256:5ccf8069f7948f494968fc0713c10e5c182a9c9d9eef3a636307a20c2490f047", size = 26427, upload-time = "2026-03-01T15:08:44.593Z" }, -] - -[[package]] -name = "flashinfer-python" -version = "0.5.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "apache-tvm-ffi" }, - { name = "click" }, - { name = "einops" }, - { name = "ninja" }, - { name = "numpy" }, - { name = "nvidia-cudnn-frontend" }, - { name = "nvidia-cutlass-dsl" }, - { name = "nvidia-ml-py" }, - { name = "packaging" }, - { name = "requests" }, - { name = "tabulate" }, - { name = "torch" }, - { name = "tqdm" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/d8/04/e357eaa50238e12c49e66fcf47f83e066e741ef19a117c136782b32eafbb/flashinfer_python-0.5.2.tar.gz", hash = "sha256:99d097a28be1e98c7f85e4a767e9e9a4794374f9318c27db14d21e367149063f", size = 4632657, upload-time = "2025-11-07T02:53:27.261Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8d/0c/4a8ffbbc0d85e314f534cf5c32711f2af5d5e6e49225a5a414400a67b684/flashinfer_python-0.5.2-py3-none-any.whl", hash = "sha256:739c27d86d5ff4e3ad1ea41dcb90bda08e44c332549bf696f9c9c5c57f608e63", size = 6936306, upload-time = "2025-11-07T02:53:25.515Z" }, -] - -[[package]] -name = "frozenlist" -version = "1.8.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/2d/f5/c831fac6cc817d26fd54c7eaccd04ef7e0288806943f7cc5bbf69f3ac1f0/frozenlist-1.8.0.tar.gz", hash = "sha256:3ede829ed8d842f6cd48fc7081d7a41001a56f1f38603f9d49bf3020d59a31ad", size = 45875, upload-time = "2025-10-06T05:38:17.865Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/bc/03/077f869d540370db12165c0aa51640a873fb661d8b315d1d4d67b284d7ac/frozenlist-1.8.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:09474e9831bc2b2199fad6da3c14c7b0fbdd377cce9d3d77131be28906cb7d84", size = 86912, upload-time = "2025-10-06T05:35:45.98Z" }, - { url = "https://files.pythonhosted.org/packages/df/b5/7610b6bd13e4ae77b96ba85abea1c8cb249683217ef09ac9e0ae93f25a91/frozenlist-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:17c883ab0ab67200b5f964d2b9ed6b00971917d5d8a92df149dc2c9779208ee9", size = 50046, upload-time = "2025-10-06T05:35:47.009Z" }, - { url = "https://files.pythonhosted.org/packages/6e/ef/0e8f1fe32f8a53dd26bdd1f9347efe0778b0fddf62789ea683f4cc7d787d/frozenlist-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fa47e444b8ba08fffd1c18e8cdb9a75db1b6a27f17507522834ad13ed5922b93", size = 50119, upload-time = "2025-10-06T05:35:48.38Z" }, - { url = "https://files.pythonhosted.org/packages/11/b1/71a477adc7c36e5fb628245dfbdea2166feae310757dea848d02bd0689fd/frozenlist-1.8.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:2552f44204b744fba866e573be4c1f9048d6a324dfe14475103fd51613eb1d1f", size = 231067, upload-time = "2025-10-06T05:35:49.97Z" }, - { url = "https://files.pythonhosted.org/packages/45/7e/afe40eca3a2dc19b9904c0f5d7edfe82b5304cb831391edec0ac04af94c2/frozenlist-1.8.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:957e7c38f250991e48a9a73e6423db1bb9dd14e722a10f6b8bb8e16a0f55f695", size = 233160, upload-time = "2025-10-06T05:35:51.729Z" }, - { url = "https://files.pythonhosted.org/packages/a6/aa/7416eac95603ce428679d273255ffc7c998d4132cfae200103f164b108aa/frozenlist-1.8.0-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:8585e3bb2cdea02fc88ffa245069c36555557ad3609e83be0ec71f54fd4abb52", size = 228544, upload-time = "2025-10-06T05:35:53.246Z" }, - { url = "https://files.pythonhosted.org/packages/8b/3d/2a2d1f683d55ac7e3875e4263d28410063e738384d3adc294f5ff3d7105e/frozenlist-1.8.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:edee74874ce20a373d62dc28b0b18b93f645633c2943fd90ee9d898550770581", size = 243797, upload-time = "2025-10-06T05:35:54.497Z" }, - { url = "https://files.pythonhosted.org/packages/78/1e/2d5565b589e580c296d3bb54da08d206e797d941a83a6fdea42af23be79c/frozenlist-1.8.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:c9a63152fe95756b85f31186bddf42e4c02c6321207fd6601a1c89ebac4fe567", size = 247923, upload-time = "2025-10-06T05:35:55.861Z" }, - { url = "https://files.pythonhosted.org/packages/aa/c3/65872fcf1d326a7f101ad4d86285c403c87be7d832b7470b77f6d2ed5ddc/frozenlist-1.8.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b6db2185db9be0a04fecf2f241c70b63b1a242e2805be291855078f2b404dd6b", size = 230886, upload-time = "2025-10-06T05:35:57.399Z" }, - { url = "https://files.pythonhosted.org/packages/a0/76/ac9ced601d62f6956f03cc794f9e04c81719509f85255abf96e2510f4265/frozenlist-1.8.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:f4be2e3d8bc8aabd566f8d5b8ba7ecc09249d74ba3c9ed52e54dc23a293f0b92", size = 245731, upload-time = "2025-10-06T05:35:58.563Z" }, - { url = "https://files.pythonhosted.org/packages/b9/49/ecccb5f2598daf0b4a1415497eba4c33c1e8ce07495eb07d2860c731b8d5/frozenlist-1.8.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:c8d1634419f39ea6f5c427ea2f90ca85126b54b50837f31497f3bf38266e853d", size = 241544, upload-time = "2025-10-06T05:35:59.719Z" }, - { url = "https://files.pythonhosted.org/packages/53/4b/ddf24113323c0bbcc54cb38c8b8916f1da7165e07b8e24a717b4a12cbf10/frozenlist-1.8.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:1a7fa382a4a223773ed64242dbe1c9c326ec09457e6b8428efb4118c685c3dfd", size = 241806, upload-time = "2025-10-06T05:36:00.959Z" }, - { url = "https://files.pythonhosted.org/packages/a7/fb/9b9a084d73c67175484ba2789a59f8eebebd0827d186a8102005ce41e1ba/frozenlist-1.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:11847b53d722050808926e785df837353bd4d75f1d494377e59b23594d834967", size = 229382, upload-time = "2025-10-06T05:36:02.22Z" }, - { url = "https://files.pythonhosted.org/packages/95/a3/c8fb25aac55bf5e12dae5c5aa6a98f85d436c1dc658f21c3ac73f9fa95e5/frozenlist-1.8.0-cp311-cp311-win32.whl", hash = "sha256:27c6e8077956cf73eadd514be8fb04d77fc946a7fe9f7fe167648b0b9085cc25", size = 39647, upload-time = "2025-10-06T05:36:03.409Z" }, - { url = "https://files.pythonhosted.org/packages/0a/f5/603d0d6a02cfd4c8f2a095a54672b3cf967ad688a60fb9faf04fc4887f65/frozenlist-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac913f8403b36a2c8610bbfd25b8013488533e71e62b4b4adce9c86c8cea905b", size = 44064, upload-time = "2025-10-06T05:36:04.368Z" }, - { url = "https://files.pythonhosted.org/packages/5d/16/c2c9ab44e181f043a86f9a8f84d5124b62dbcb3a02c0977ec72b9ac1d3e0/frozenlist-1.8.0-cp311-cp311-win_arm64.whl", hash = "sha256:d4d3214a0f8394edfa3e303136d0575eece0745ff2b47bd2cb2e66dd92d4351a", size = 39937, upload-time = "2025-10-06T05:36:05.669Z" }, - { url = "https://files.pythonhosted.org/packages/69/29/948b9aa87e75820a38650af445d2ef2b6b8a6fab1a23b6bb9e4ef0be2d59/frozenlist-1.8.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:78f7b9e5d6f2fdb88cdde9440dc147259b62b9d3b019924def9f6478be254ac1", size = 87782, upload-time = "2025-10-06T05:36:06.649Z" }, - { url = "https://files.pythonhosted.org/packages/64/80/4f6e318ee2a7c0750ed724fa33a4bdf1eacdc5a39a7a24e818a773cd91af/frozenlist-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:229bf37d2e4acdaf808fd3f06e854a4a7a3661e871b10dc1f8f1896a3b05f18b", size = 50594, upload-time = "2025-10-06T05:36:07.69Z" }, - { url = "https://files.pythonhosted.org/packages/2b/94/5c8a2b50a496b11dd519f4a24cb5496cf125681dd99e94c604ccdea9419a/frozenlist-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f833670942247a14eafbb675458b4e61c82e002a148f49e68257b79296e865c4", size = 50448, upload-time = "2025-10-06T05:36:08.78Z" }, - { url = "https://files.pythonhosted.org/packages/6a/bd/d91c5e39f490a49df14320f4e8c80161cfcce09f1e2cde1edd16a551abb3/frozenlist-1.8.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:494a5952b1c597ba44e0e78113a7266e656b9794eec897b19ead706bd7074383", size = 242411, upload-time = "2025-10-06T05:36:09.801Z" }, - { url = "https://files.pythonhosted.org/packages/8f/83/f61505a05109ef3293dfb1ff594d13d64a2324ac3482be2cedc2be818256/frozenlist-1.8.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96f423a119f4777a4a056b66ce11527366a8bb92f54e541ade21f2374433f6d4", size = 243014, upload-time = "2025-10-06T05:36:11.394Z" }, - { url = "https://files.pythonhosted.org/packages/d8/cb/cb6c7b0f7d4023ddda30cf56b8b17494eb3a79e3fda666bf735f63118b35/frozenlist-1.8.0-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3462dd9475af2025c31cc61be6652dfa25cbfb56cbbf52f4ccfe029f38decaf8", size = 234909, upload-time = "2025-10-06T05:36:12.598Z" }, - { url = "https://files.pythonhosted.org/packages/31/c5/cd7a1f3b8b34af009fb17d4123c5a778b44ae2804e3ad6b86204255f9ec5/frozenlist-1.8.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c4c800524c9cd9bac5166cd6f55285957fcfc907db323e193f2afcd4d9abd69b", size = 250049, upload-time = "2025-10-06T05:36:14.065Z" }, - { url = "https://files.pythonhosted.org/packages/c0/01/2f95d3b416c584a1e7f0e1d6d31998c4a795f7544069ee2e0962a4b60740/frozenlist-1.8.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d6a5df73acd3399d893dafc71663ad22534b5aa4f94e8a2fabfe856c3c1b6a52", size = 256485, upload-time = "2025-10-06T05:36:15.39Z" }, - { url = "https://files.pythonhosted.org/packages/ce/03/024bf7720b3abaebcff6d0793d73c154237b85bdf67b7ed55e5e9596dc9a/frozenlist-1.8.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:405e8fe955c2280ce66428b3ca55e12b3c4e9c336fb2103a4937e891c69a4a29", size = 237619, upload-time = "2025-10-06T05:36:16.558Z" }, - { url = "https://files.pythonhosted.org/packages/69/fa/f8abdfe7d76b731f5d8bd217827cf6764d4f1d9763407e42717b4bed50a0/frozenlist-1.8.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:908bd3f6439f2fef9e85031b59fd4f1297af54415fb60e4254a95f75b3cab3f3", size = 250320, upload-time = "2025-10-06T05:36:17.821Z" }, - { url = "https://files.pythonhosted.org/packages/f5/3c/b051329f718b463b22613e269ad72138cc256c540f78a6de89452803a47d/frozenlist-1.8.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:294e487f9ec720bd8ffcebc99d575f7eff3568a08a253d1ee1a0378754b74143", size = 246820, upload-time = "2025-10-06T05:36:19.046Z" }, - { url = "https://files.pythonhosted.org/packages/0f/ae/58282e8f98e444b3f4dd42448ff36fa38bef29e40d40f330b22e7108f565/frozenlist-1.8.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:74c51543498289c0c43656701be6b077f4b265868fa7f8a8859c197006efb608", size = 250518, upload-time = "2025-10-06T05:36:20.763Z" }, - { url = "https://files.pythonhosted.org/packages/8f/96/007e5944694d66123183845a106547a15944fbbb7154788cbf7272789536/frozenlist-1.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:776f352e8329135506a1d6bf16ac3f87bc25b28e765949282dcc627af36123aa", size = 239096, upload-time = "2025-10-06T05:36:22.129Z" }, - { url = "https://files.pythonhosted.org/packages/66/bb/852b9d6db2fa40be96f29c0d1205c306288f0684df8fd26ca1951d461a56/frozenlist-1.8.0-cp312-cp312-win32.whl", hash = "sha256:433403ae80709741ce34038da08511d4a77062aa924baf411ef73d1146e74faf", size = 39985, upload-time = "2025-10-06T05:36:23.661Z" }, - { url = "https://files.pythonhosted.org/packages/b8/af/38e51a553dd66eb064cdf193841f16f077585d4d28394c2fa6235cb41765/frozenlist-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:34187385b08f866104f0c0617404c8eb08165ab1272e884abc89c112e9c00746", size = 44591, upload-time = "2025-10-06T05:36:24.958Z" }, - { url = "https://files.pythonhosted.org/packages/a7/06/1dc65480ab147339fecc70797e9c2f69d9cea9cf38934ce08df070fdb9cb/frozenlist-1.8.0-cp312-cp312-win_arm64.whl", hash = "sha256:fe3c58d2f5db5fbd18c2987cba06d51b0529f52bc3a6cdc33d3f4eab725104bd", size = 40102, upload-time = "2025-10-06T05:36:26.333Z" }, - { url = "https://files.pythonhosted.org/packages/9a/9a/e35b4a917281c0b8419d4207f4334c8e8c5dbf4f3f5f9ada73958d937dcc/frozenlist-1.8.0-py3-none-any.whl", hash = "sha256:0c18a16eab41e82c295618a77502e17b195883241c563b00f0aa5106fc4eaa0d", size = 13409, upload-time = "2025-10-06T05:38:16.721Z" }, -] - -[[package]] -name = "fsspec" -version = "2026.2.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/51/7c/f60c259dcbf4f0c47cc4ddb8f7720d2dcdc8888c8e5ad84c73ea4531cc5b/fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff", size = 313441, upload-time = "2026-02-05T21:50:53.743Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/e6/ab/fb21f4c939bb440104cc2b396d3be1d9b7a9fd3c6c2a53d98c45b3d7c954/fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437", size = 202505, upload-time = "2026-02-05T21:50:51.819Z" }, -] - -[package.optional-dependencies] -http = [ - { name = "aiohttp" }, -] - -[[package]] -name = "gitdb" -version = "4.0.12" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "smmap" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/72/94/63b0fc47eb32792c7ba1fe1b694daec9a63620db1e313033d18140c2320a/gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571", size = 394684, upload-time = "2025-01-02T07:20:46.413Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/61/5c78b91c3143ed5c14207f463aecfc8f9dbb5092fb2869baf37c273b2705/gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf", size = 62794, upload-time = "2025-01-02T07:20:43.624Z" }, -] - -[[package]] -name = "gitpython" -version = "3.1.46" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "gitdb" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/df/b5/59d16470a1f0dfe8c793f9ef56fd3826093fc52b3bd96d6b9d6c26c7e27b/gitpython-3.1.46.tar.gz", hash = "sha256:400124c7d0ef4ea03f7310ac2fbf7151e09ff97f2a3288d64a440c584a29c37f", size = 215371, upload-time = "2026-01-01T15:37:32.073Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6a/09/e21df6aef1e1ffc0c816f0522ddc3f6dcded766c3261813131c78a704470/gitpython-3.1.46-py3-none-any.whl", hash = "sha256:79812ed143d9d25b6d176a10bb511de0f9c67b1fa641d82097b0ab90398a2058", size = 208620, upload-time = "2026-01-01T15:37:30.574Z" }, -] - -[[package]] -name = "h11" -version = "0.16.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" }, -] - -[[package]] -name = "hf-transfer" -version = "0.1.9" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1a/eb/8fc64f40388c29ce8ce3b2b180a089d4d6b25b1d0d232d016704cb852104/hf_transfer-0.1.9.tar.gz", hash = "sha256:035572865dab29d17e783fbf1e84cf1cb24f3fcf8f1b17db1cfc7fdf139f02bf", size = 25201, upload-time = "2025-01-07T10:05:12.947Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/81/f5/461d2e5f307e5048289b1168d5c642ae3bb2504e88dff1a38b92ed990a21/hf_transfer-0.1.9-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e66acf91df4a8b72f60223059df3003062a5ae111757187ed1a06750a30e911b", size = 1393046, upload-time = "2025-01-07T10:04:51.003Z" }, - { url = "https://files.pythonhosted.org/packages/41/ba/8d9fd9f1083525edfcb389c93738c802f3559cb749324090d7109c8bf4c2/hf_transfer-0.1.9-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:8669dbcc7a3e2e8d61d42cd24da9c50d57770bd74b445c65123291ca842a7e7a", size = 1348126, upload-time = "2025-01-07T10:04:45.712Z" }, - { url = "https://files.pythonhosted.org/packages/8e/a2/cd7885bc9959421065a6fae0fe67b6c55becdeda4e69b873e52976f9a9f0/hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8fd0167c4407a3bc4cdd0307e65ada2294ec04f1813d8a69a5243e379b22e9d8", size = 3728604, upload-time = "2025-01-07T10:04:14.173Z" }, - { url = "https://files.pythonhosted.org/packages/f6/2e/a072cf196edfeda3310c9a5ade0a0fdd785e6154b3ce24fc738c818da2a7/hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ee8b10afedcb75f71091bcc197c526a6ebf5c58bbbadb34fdeee6160f55f619f", size = 3064995, upload-time = "2025-01-07T10:04:18.663Z" }, - { url = "https://files.pythonhosted.org/packages/c2/84/aec9ef4c0fab93c1ea2b1badff38c78b4b2f86f0555b26d2051dbc920cde/hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5828057e313de59300dd1abb489444bc452efe3f479d3c55b31a8f680936ba42", size = 3580908, upload-time = "2025-01-07T10:04:32.834Z" }, - { url = "https://files.pythonhosted.org/packages/29/63/b560d39651a56603d64f1a0212d0472a44cbd965db2fa62b99d99cb981bf/hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc6bd19e1cc177c66bdef15ef8636ad3bde79d5a4f608c158021153b4573509d", size = 3400839, upload-time = "2025-01-07T10:04:26.122Z" }, - { url = "https://files.pythonhosted.org/packages/d6/d8/f87ea6f42456254b48915970ed98e993110521e9263472840174d32c880d/hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdca9bfb89e6f8f281890cc61a8aff2d3cecaff7e1a4d275574d96ca70098557", size = 3552664, upload-time = "2025-01-07T10:04:40.123Z" }, - { url = "https://files.pythonhosted.org/packages/d6/56/1267c39b65fc8f4e2113b36297320f102718bf5799b544a6cbe22013aa1d/hf_transfer-0.1.9-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:89a23f58b7b7effbc047b8ca286f131b17728c99a9f972723323003ffd1bb916", size = 4073732, upload-time = "2025-01-07T10:04:55.624Z" }, - { url = "https://files.pythonhosted.org/packages/82/1a/9c748befbe3decf7cb415e34f8a0c3789a0a9c55910dea73d581e48c0ce5/hf_transfer-0.1.9-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:dc7fff1345980d6c0ebb92c811d24afa4b98b3e07ed070c8e38cc91fd80478c5", size = 3390096, upload-time = "2025-01-07T10:04:59.98Z" }, - { url = "https://files.pythonhosted.org/packages/72/85/4c03da147b6b4b7cb12e074d3d44eee28604a387ed0eaf7eaaead5069c57/hf_transfer-0.1.9-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:1a6bd16c667ebe89a069ca163060127a794fa3a3525292c900b8c8cc47985b0d", size = 3664743, upload-time = "2025-01-07T10:05:05.416Z" }, - { url = "https://files.pythonhosted.org/packages/e7/6e/e597b04f753f1b09e6893075d53a82a30c13855cbaa791402695b01e369f/hf_transfer-0.1.9-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d2fde99d502093ade3ab1b53f80da18480e9902aa960dab7f74fb1b9e5bc5746", size = 3695243, upload-time = "2025-01-07T10:05:11.411Z" }, - { url = "https://files.pythonhosted.org/packages/09/89/d4e234727a26b2546c8fb70a276cd924260d60135f2165bf8b9ed67bb9a4/hf_transfer-0.1.9-cp38-abi3-win32.whl", hash = "sha256:435cc3cdc8524ce57b074032b8fd76eed70a4224d2091232fa6a8cef8fd6803e", size = 1086605, upload-time = "2025-01-07T10:05:18.873Z" }, - { url = "https://files.pythonhosted.org/packages/a1/14/f1e15b851d1c2af5b0b1a82bf8eb10bda2da62d98180220ba6fd8879bb5b/hf_transfer-0.1.9-cp38-abi3-win_amd64.whl", hash = "sha256:16f208fc678911c37e11aa7b586bc66a37d02e636208f18b6bc53d29b5df40ad", size = 1160240, upload-time = "2025-01-07T10:05:14.324Z" }, -] - -[[package]] -name = "hf-xet" -version = "1.3.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8b/cb/9bb543bd987ffa1ee48202cc96a756951b734b79a542335c566148ade36c/hf_xet-1.3.2.tar.gz", hash = "sha256:e130ee08984783d12717444e538587fa2119385e5bd8fc2bb9f930419b73a7af", size = 643646, upload-time = "2026-02-27T17:26:08.051Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d8/28/dbb024e2e3907f6f3052847ca7d1a2f7a3972fafcd53ff79018977fcb3e4/hf_xet-1.3.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:f93b7595f1d8fefddfede775c18b5c9256757824f7f6832930b49858483cd56f", size = 3763961, upload-time = "2026-02-27T17:25:52.537Z" }, - { url = "https://files.pythonhosted.org/packages/e4/71/b99aed3823c9d1795e4865cf437d651097356a3f38c7d5877e4ac544b8e4/hf_xet-1.3.2-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:a85d3d43743174393afe27835bde0cd146e652b5fcfdbcd624602daef2ef3259", size = 3526171, upload-time = "2026-02-27T17:25:50.968Z" }, - { url = "https://files.pythonhosted.org/packages/9d/ca/907890ce6ef5598b5920514f255ed0a65f558f820515b18db75a51b2f878/hf_xet-1.3.2-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7c2a054a97c44e136b1f7f5a78f12b3efffdf2eed3abc6746fc5ea4b39511633", size = 4180750, upload-time = "2026-02-27T17:25:43.125Z" }, - { url = "https://files.pythonhosted.org/packages/8c/ad/bc7f41f87173d51d0bce497b171c4ee0cbde1eed2d7b4216db5d0ada9f50/hf_xet-1.3.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:06b724a361f670ae557836e57801b82c75b534812e351a87a2c739f77d1e0635", size = 3961035, upload-time = "2026-02-27T17:25:41.837Z" }, - { url = "https://files.pythonhosted.org/packages/73/38/600f4dda40c4a33133404d9fe644f1d35ff2d9babb4d0435c646c63dd107/hf_xet-1.3.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:305f5489d7241a47e0458ef49334be02411d1d0f480846363c1c8084ed9916f7", size = 4161378, upload-time = "2026-02-27T17:26:00.365Z" }, - { url = "https://files.pythonhosted.org/packages/00/b3/7bc1ff91d1ac18420b7ad1e169b618b27c00001b96310a89f8a9294fe509/hf_xet-1.3.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:06cdbde243c85f39a63b28e9034321399c507bcd5e7befdd17ed2ccc06dfe14e", size = 4398020, upload-time = "2026-02-27T17:26:03.977Z" }, - { url = "https://files.pythonhosted.org/packages/2b/0b/99bfd948a3ed3620ab709276df3ad3710dcea61976918cce8706502927af/hf_xet-1.3.2-cp37-abi3-win_amd64.whl", hash = "sha256:9298b47cce6037b7045ae41482e703c471ce36b52e73e49f71226d2e8e5685a1", size = 3641624, upload-time = "2026-02-27T17:26:13.542Z" }, - { url = "https://files.pythonhosted.org/packages/cc/02/9a6e4ca1f3f73a164c0cd48e41b3cc56585dcc37e809250de443d673266f/hf_xet-1.3.2-cp37-abi3-win_arm64.whl", hash = "sha256:83d8ec273136171431833a6957e8f3af496bee227a0fe47c7b8b39c106d1749a", size = 3503976, upload-time = "2026-02-27T17:26:12.123Z" }, -] - -[[package]] -name = "httpcore" -version = "1.0.9" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "certifi" }, - { name = "h11" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" }, -] - -[[package]] -name = "httpx" -version = "0.28.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "anyio" }, - { name = "certifi" }, - { name = "httpcore" }, - { name = "idna" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" }, -] - -[[package]] -name = "huggingface-hub" -version = "0.36.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "filelock" }, - { name = "fsspec" }, - { name = "hf-xet", marker = "platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'" }, - { name = "packaging" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "tqdm" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/7c/b7/8cb61d2eece5fb05a83271da168186721c450eb74e3c31f7ef3169fa475b/huggingface_hub-0.36.2.tar.gz", hash = "sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a", size = 649782, upload-time = "2026-02-06T09:24:13.098Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a8/af/48ac8483240de756d2438c380746e7130d1c6f75802ef22f3c6d49982787/huggingface_hub-0.36.2-py3-none-any.whl", hash = "sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270", size = 566395, upload-time = "2026-02-06T09:24:11.133Z" }, -] - -[[package]] -name = "idna" -version = "3.11" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" }, -] - -[[package]] -name = "jinja2" -version = "3.1.6" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "markupsafe" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" }, -] - -[[package]] -name = "markupsafe" -version = "3.0.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/08/db/fefacb2136439fc8dd20e797950e749aa1f4997ed584c62cfb8ef7c2be0e/markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad", size = 11631, upload-time = "2025-09-27T18:36:18.185Z" }, - { url = "https://files.pythonhosted.org/packages/e1/2e/5898933336b61975ce9dc04decbc0a7f2fee78c30353c5efba7f2d6ff27a/markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a", size = 12058, upload-time = "2025-09-27T18:36:19.444Z" }, - { url = "https://files.pythonhosted.org/packages/1d/09/adf2df3699d87d1d8184038df46a9c80d78c0148492323f4693df54e17bb/markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50", size = 24287, upload-time = "2025-09-27T18:36:20.768Z" }, - { url = "https://files.pythonhosted.org/packages/30/ac/0273f6fcb5f42e314c6d8cd99effae6a5354604d461b8d392b5ec9530a54/markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf", size = 22940, upload-time = "2025-09-27T18:36:22.249Z" }, - { url = "https://files.pythonhosted.org/packages/19/ae/31c1be199ef767124c042c6c3e904da327a2f7f0cd63a0337e1eca2967a8/markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f", size = 21887, upload-time = "2025-09-27T18:36:23.535Z" }, - { url = "https://files.pythonhosted.org/packages/b2/76/7edcab99d5349a4532a459e1fe64f0b0467a3365056ae550d3bcf3f79e1e/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a", size = 23692, upload-time = "2025-09-27T18:36:24.823Z" }, - { url = "https://files.pythonhosted.org/packages/a4/28/6e74cdd26d7514849143d69f0bf2399f929c37dc2b31e6829fd2045b2765/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115", size = 21471, upload-time = "2025-09-27T18:36:25.95Z" }, - { url = "https://files.pythonhosted.org/packages/62/7e/a145f36a5c2945673e590850a6f8014318d5577ed7e5920a4b3448e0865d/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a", size = 22923, upload-time = "2025-09-27T18:36:27.109Z" }, - { url = "https://files.pythonhosted.org/packages/0f/62/d9c46a7f5c9adbeeeda52f5b8d802e1094e9717705a645efc71b0913a0a8/markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19", size = 14572, upload-time = "2025-09-27T18:36:28.045Z" }, - { url = "https://files.pythonhosted.org/packages/83/8a/4414c03d3f891739326e1783338e48fb49781cc915b2e0ee052aa490d586/markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01", size = 15077, upload-time = "2025-09-27T18:36:29.025Z" }, - { url = "https://files.pythonhosted.org/packages/35/73/893072b42e6862f319b5207adc9ae06070f095b358655f077f69a35601f0/markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c", size = 13876, upload-time = "2025-09-27T18:36:29.954Z" }, - { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload-time = "2025-09-27T18:36:30.854Z" }, - { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload-time = "2025-09-27T18:36:31.971Z" }, - { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload-time = "2025-09-27T18:36:32.813Z" }, - { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload-time = "2025-09-27T18:36:33.86Z" }, - { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload-time = "2025-09-27T18:36:35.099Z" }, - { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload-time = "2025-09-27T18:36:36.001Z" }, - { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload-time = "2025-09-27T18:36:36.906Z" }, - { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload-time = "2025-09-27T18:36:37.868Z" }, - { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload-time = "2025-09-27T18:36:38.761Z" }, - { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload-time = "2025-09-27T18:36:39.701Z" }, - { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload-time = "2025-09-27T18:36:40.689Z" }, -] - -[[package]] -name = "mpmath" -version = "1.3.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e0/47/dd32fa426cc72114383ac549964eecb20ecfd886d1e5ccf5340b55b02f57/mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f", size = 508106, upload-time = "2023-03-07T16:47:11.061Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c", size = 536198, upload-time = "2023-03-07T16:47:09.197Z" }, -] - -[[package]] -name = "multidict" -version = "6.7.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1a/c2/c2d94cbe6ac1753f3fc980da97b3d930efe1da3af3c9f5125354436c073d/multidict-6.7.1.tar.gz", hash = "sha256:ec6652a1bee61c53a3e5776b6049172c53b6aaba34f18c9ad04f82712bac623d", size = 102010, upload-time = "2026-01-26T02:46:45.979Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ce/f1/a90635c4f88fb913fbf4ce660b83b7445b7a02615bda034b2f8eb38fd597/multidict-6.7.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7ff981b266af91d7b4b3793ca3382e53229088d193a85dfad6f5f4c27fc73e5d", size = 76626, upload-time = "2026-01-26T02:43:26.485Z" }, - { url = "https://files.pythonhosted.org/packages/a6/9b/267e64eaf6fc637a15b35f5de31a566634a2740f97d8d094a69d34f524a4/multidict-6.7.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:844c5bca0b5444adb44a623fb0a1310c2f4cd41f402126bb269cd44c9b3f3e1e", size = 44706, upload-time = "2026-01-26T02:43:27.607Z" }, - { url = "https://files.pythonhosted.org/packages/dd/a4/d45caf2b97b035c57267791ecfaafbd59c68212004b3842830954bb4b02e/multidict-6.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f2a0a924d4c2e9afcd7ec64f9de35fcd96915149b2216e1cb2c10a56df483855", size = 44356, upload-time = "2026-01-26T02:43:28.661Z" }, - { url = "https://files.pythonhosted.org/packages/fd/d2/0a36c8473f0cbaeadd5db6c8b72d15bbceeec275807772bfcd059bef487d/multidict-6.7.1-cp311-cp311-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:8be1802715a8e892c784c0197c2ace276ea52702a0ede98b6310c8f255a5afb3", size = 244355, upload-time = "2026-01-26T02:43:31.165Z" }, - { url = "https://files.pythonhosted.org/packages/5d/16/8c65be997fd7dd311b7d39c7b6e71a0cb449bad093761481eccbbe4b42a2/multidict-6.7.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e2d2ed645ea29f31c4c7ea1552fcfd7cb7ba656e1eafd4134a6620c9f5fdd9e", size = 246433, upload-time = "2026-01-26T02:43:32.581Z" }, - { url = "https://files.pythonhosted.org/packages/01/fb/4dbd7e848d2799c6a026ec88ad39cf2b8416aa167fcc903baa55ecaa045c/multidict-6.7.1-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:95922cee9a778659e91db6497596435777bd25ed116701a4c034f8e46544955a", size = 225376, upload-time = "2026-01-26T02:43:34.417Z" }, - { url = "https://files.pythonhosted.org/packages/b6/8a/4a3a6341eac3830f6053062f8fbc9a9e54407c80755b3f05bc427295c2d0/multidict-6.7.1-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6b83cabdc375ffaaa15edd97eb7c0c672ad788e2687004990074d7d6c9b140c8", size = 257365, upload-time = "2026-01-26T02:43:35.741Z" }, - { url = "https://files.pythonhosted.org/packages/f7/a2/dd575a69c1aa206e12d27d0770cdf9b92434b48a9ef0cd0d1afdecaa93c4/multidict-6.7.1-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:38fb49540705369bab8484db0689d86c0a33a0a9f2c1b197f506b71b4b6c19b0", size = 254747, upload-time = "2026-01-26T02:43:36.976Z" }, - { url = "https://files.pythonhosted.org/packages/5a/56/21b27c560c13822ed93133f08aa6372c53a8e067f11fbed37b4adcdac922/multidict-6.7.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:439cbebd499f92e9aa6793016a8acaa161dfa749ae86d20960189f5398a19144", size = 246293, upload-time = "2026-01-26T02:43:38.258Z" }, - { url = "https://files.pythonhosted.org/packages/5a/a4/23466059dc3854763423d0ad6c0f3683a379d97673b1b89ec33826e46728/multidict-6.7.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6d3bc717b6fe763b8be3f2bee2701d3c8eb1b2a8ae9f60910f1b2860c82b6c49", size = 242962, upload-time = "2026-01-26T02:43:40.034Z" }, - { url = "https://files.pythonhosted.org/packages/1f/67/51dd754a3524d685958001e8fa20a0f5f90a6a856e0a9dcabff69be3dbb7/multidict-6.7.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:619e5a1ac57986dbfec9f0b301d865dddf763696435e2962f6d9cf2fdff2bb71", size = 237360, upload-time = "2026-01-26T02:43:41.752Z" }, - { url = "https://files.pythonhosted.org/packages/64/3f/036dfc8c174934d4b55d86ff4f978e558b0e585cef70cfc1ad01adc6bf18/multidict-6.7.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0b38ebffd9be37c1170d33bc0f36f4f262e0a09bc1aac1c34c7aa51a7293f0b3", size = 245940, upload-time = "2026-01-26T02:43:43.042Z" }, - { url = "https://files.pythonhosted.org/packages/3d/20/6214d3c105928ebc353a1c644a6ef1408bc5794fcb4f170bb524a3c16311/multidict-6.7.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:10ae39c9cfe6adedcdb764f5e8411d4a92b055e35573a2eaa88d3323289ef93c", size = 253502, upload-time = "2026-01-26T02:43:44.371Z" }, - { url = "https://files.pythonhosted.org/packages/b1/e2/c653bc4ae1be70a0f836b82172d643fcf1dade042ba2676ab08ec08bff0f/multidict-6.7.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:25167cc263257660290fba06b9318d2026e3c910be240a146e1f66dd114af2b0", size = 247065, upload-time = "2026-01-26T02:43:45.745Z" }, - { url = "https://files.pythonhosted.org/packages/c8/11/a854b4154cd3bd8b1fd375e8a8ca9d73be37610c361543d56f764109509b/multidict-6.7.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:128441d052254f42989ef98b7b6a6ecb1e6f708aa962c7984235316db59f50fa", size = 241870, upload-time = "2026-01-26T02:43:47.054Z" }, - { url = "https://files.pythonhosted.org/packages/13/bf/9676c0392309b5fdae322333d22a829715b570edb9baa8016a517b55b558/multidict-6.7.1-cp311-cp311-win32.whl", hash = "sha256:d62b7f64ffde3b99d06b707a280db04fb3855b55f5a06df387236051d0668f4a", size = 41302, upload-time = "2026-01-26T02:43:48.753Z" }, - { url = "https://files.pythonhosted.org/packages/c9/68/f16a3a8ba6f7b6dc92a1f19669c0810bd2c43fc5a02da13b1cbf8e253845/multidict-6.7.1-cp311-cp311-win_amd64.whl", hash = "sha256:bdbf9f3b332abd0cdb306e7c2113818ab1e922dc84b8f8fd06ec89ed2a19ab8b", size = 45981, upload-time = "2026-01-26T02:43:49.921Z" }, - { url = "https://files.pythonhosted.org/packages/ac/ad/9dd5305253fa00cd3c7555dbef69d5bf4133debc53b87ab8d6a44d411665/multidict-6.7.1-cp311-cp311-win_arm64.whl", hash = "sha256:b8c990b037d2fff2f4e33d3f21b9b531c5745b33a49a7d6dbe7a177266af44f6", size = 43159, upload-time = "2026-01-26T02:43:51.635Z" }, - { url = "https://files.pythonhosted.org/packages/8d/9c/f20e0e2cf80e4b2e4b1c365bf5fe104ee633c751a724246262db8f1a0b13/multidict-6.7.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:a90f75c956e32891a4eda3639ce6dd86e87105271f43d43442a3aedf3cddf172", size = 76893, upload-time = "2026-01-26T02:43:52.754Z" }, - { url = "https://files.pythonhosted.org/packages/fe/cf/18ef143a81610136d3da8193da9d80bfe1cb548a1e2d1c775f26b23d024a/multidict-6.7.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3fccb473e87eaa1382689053e4a4618e7ba7b9b9b8d6adf2027ee474597128cd", size = 45456, upload-time = "2026-01-26T02:43:53.893Z" }, - { url = "https://files.pythonhosted.org/packages/a9/65/1caac9d4cd32e8433908683446eebc953e82d22b03d10d41a5f0fefe991b/multidict-6.7.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b0fa96985700739c4c7853a43c0b3e169360d6855780021bfc6d0f1ce7c123e7", size = 43872, upload-time = "2026-01-26T02:43:55.041Z" }, - { url = "https://files.pythonhosted.org/packages/cf/3b/d6bd75dc4f3ff7c73766e04e705b00ed6dbbaccf670d9e05a12b006f5a21/multidict-6.7.1-cp312-cp312-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:cb2a55f408c3043e42b40cc8eecd575afa27b7e0b956dfb190de0f8499a57a53", size = 251018, upload-time = "2026-01-26T02:43:56.198Z" }, - { url = "https://files.pythonhosted.org/packages/fd/80/c959c5933adedb9ac15152e4067c702a808ea183a8b64cf8f31af8ad3155/multidict-6.7.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:eb0ce7b2a32d09892b3dd6cc44877a0d02a33241fafca5f25c8b6b62374f8b75", size = 258883, upload-time = "2026-01-26T02:43:57.499Z" }, - { url = "https://files.pythonhosted.org/packages/86/85/7ed40adafea3d4f1c8b916e3b5cc3a8e07dfcdcb9cd72800f4ed3ca1b387/multidict-6.7.1-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c3a32d23520ee37bf327d1e1a656fec76a2edd5c038bf43eddfa0572ec49c60b", size = 242413, upload-time = "2026-01-26T02:43:58.755Z" }, - { url = "https://files.pythonhosted.org/packages/d2/57/b8565ff533e48595503c785f8361ff9a4fde4d67de25c207cd0ba3befd03/multidict-6.7.1-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9c90fed18bffc0189ba814749fdcc102b536e83a9f738a9003e569acd540a733", size = 268404, upload-time = "2026-01-26T02:44:00.216Z" }, - { url = "https://files.pythonhosted.org/packages/e0/50/9810c5c29350f7258180dfdcb2e52783a0632862eb334c4896ac717cebcb/multidict-6.7.1-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:da62917e6076f512daccfbbde27f46fed1c98fee202f0559adec8ee0de67f71a", size = 269456, upload-time = "2026-01-26T02:44:02.202Z" }, - { url = "https://files.pythonhosted.org/packages/f3/8d/5e5be3ced1d12966fefb5c4ea3b2a5b480afcea36406559442c6e31d4a48/multidict-6.7.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bfde23ef6ed9db7eaee6c37dcec08524cb43903c60b285b172b6c094711b3961", size = 256322, upload-time = "2026-01-26T02:44:03.56Z" }, - { url = "https://files.pythonhosted.org/packages/31/6e/d8a26d81ac166a5592782d208dd90dfdc0a7a218adaa52b45a672b46c122/multidict-6.7.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3758692429e4e32f1ba0df23219cd0b4fc0a52f476726fff9337d1a57676a582", size = 253955, upload-time = "2026-01-26T02:44:04.845Z" }, - { url = "https://files.pythonhosted.org/packages/59/4c/7c672c8aad41534ba619bcd4ade7a0dc87ed6b8b5c06149b85d3dd03f0cd/multidict-6.7.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:398c1478926eca669f2fd6a5856b6de9c0acf23a2cb59a14c0ba5844fa38077e", size = 251254, upload-time = "2026-01-26T02:44:06.133Z" }, - { url = "https://files.pythonhosted.org/packages/7b/bd/84c24de512cbafbdbc39439f74e967f19570ce7924e3007174a29c348916/multidict-6.7.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c102791b1c4f3ab36ce4101154549105a53dc828f016356b3e3bcae2e3a039d3", size = 252059, upload-time = "2026-01-26T02:44:07.518Z" }, - { url = "https://files.pythonhosted.org/packages/fa/ba/f5449385510825b73d01c2d4087bf6d2fccc20a2d42ac34df93191d3dd03/multidict-6.7.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:a088b62bd733e2ad12c50dad01b7d0166c30287c166e137433d3b410add807a6", size = 263588, upload-time = "2026-01-26T02:44:09.382Z" }, - { url = "https://files.pythonhosted.org/packages/d7/11/afc7c677f68f75c84a69fe37184f0f82fce13ce4b92f49f3db280b7e92b3/multidict-6.7.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:3d51ff4785d58d3f6c91bdbffcb5e1f7ddfda557727043aa20d20ec4f65e324a", size = 259642, upload-time = "2026-01-26T02:44:10.73Z" }, - { url = "https://files.pythonhosted.org/packages/2b/17/ebb9644da78c4ab36403739e0e6e0e30ebb135b9caf3440825001a0bddcb/multidict-6.7.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fc5907494fccf3e7d3f94f95c91d6336b092b5fc83811720fae5e2765890dfba", size = 251377, upload-time = "2026-01-26T02:44:12.042Z" }, - { url = "https://files.pythonhosted.org/packages/ca/a4/840f5b97339e27846c46307f2530a2805d9d537d8b8bd416af031cad7fa0/multidict-6.7.1-cp312-cp312-win32.whl", hash = "sha256:28ca5ce2fd9716631133d0e9a9b9a745ad7f60bac2bccafb56aa380fc0b6c511", size = 41887, upload-time = "2026-01-26T02:44:14.245Z" }, - { url = "https://files.pythonhosted.org/packages/80/31/0b2517913687895f5904325c2069d6a3b78f66cc641a86a2baf75a05dcbb/multidict-6.7.1-cp312-cp312-win_amd64.whl", hash = "sha256:fcee94dfbd638784645b066074b338bc9cc155d4b4bffa4adce1615c5a426c19", size = 46053, upload-time = "2026-01-26T02:44:15.371Z" }, - { url = "https://files.pythonhosted.org/packages/0c/5b/aba28e4ee4006ae4c7df8d327d31025d760ffa992ea23812a601d226e682/multidict-6.7.1-cp312-cp312-win_arm64.whl", hash = "sha256:ba0a9fb644d0c1a2194cf7ffb043bd852cea63a57f66fbd33959f7dae18517bf", size = 43307, upload-time = "2026-01-26T02:44:16.852Z" }, - { url = "https://files.pythonhosted.org/packages/81/08/7036c080d7117f28a4af526d794aab6a84463126db031b007717c1a6676e/multidict-6.7.1-py3-none-any.whl", hash = "sha256:55d97cc6dae627efa6a6e548885712d4864b81110ac76fa4e534c03819fa4a56", size = 12319, upload-time = "2026-01-26T02:46:44.004Z" }, -] - -[[package]] -name = "multiprocess" -version = "0.70.18" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "dill" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/72/fd/2ae3826f5be24c6ed87266bc4e59c46ea5b059a103f3d7e7eb76a52aeecb/multiprocess-0.70.18.tar.gz", hash = "sha256:f9597128e6b3e67b23956da07cf3d2e5cba79e2f4e0fba8d7903636663ec6d0d", size = 1798503, upload-time = "2025-04-17T03:11:27.742Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/55/4d/9af0d1279c84618bcd35bf5fd7e371657358c7b0a523e54a9cffb87461f8/multiprocess-0.70.18-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8b8940ae30139e04b076da6c5b83e9398585ebdf0f2ad3250673fef5b2ff06d6", size = 144695, upload-time = "2025-04-17T03:11:09.161Z" }, - { url = "https://files.pythonhosted.org/packages/17/bf/87323e79dd0562474fad3373c21c66bc6c3c9963b68eb2a209deb4c8575e/multiprocess-0.70.18-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0929ba95831adb938edbd5fb801ac45e705ecad9d100b3e653946b7716cb6bd3", size = 144742, upload-time = "2025-04-17T03:11:10.072Z" }, - { url = "https://files.pythonhosted.org/packages/dd/74/cb8c831e58dc6d5cf450b17c7db87f14294a1df52eb391da948b5e0a0b94/multiprocess-0.70.18-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4d77f8e4bfe6c6e2e661925bbf9aed4d5ade9a1c6502d5dfc10129b9d1141797", size = 144745, upload-time = "2025-04-17T03:11:11.453Z" }, - { url = "https://files.pythonhosted.org/packages/ba/d8/0cba6cf51a1a31f20471fbc823a716170c73012ddc4fb85d706630ed6e8f/multiprocess-0.70.18-py310-none-any.whl", hash = "sha256:60c194974c31784019c1f459d984e8f33ee48f10fcf42c309ba97b30d9bd53ea", size = 134948, upload-time = "2025-04-17T03:11:20.223Z" }, - { url = "https://files.pythonhosted.org/packages/4b/88/9039f2fed1012ef584751d4ceff9ab4a51e5ae264898f0b7cbf44340a859/multiprocess-0.70.18-py311-none-any.whl", hash = "sha256:5aa6eef98e691281b3ad923be2832bf1c55dd2c859acd73e5ec53a66aae06a1d", size = 144462, upload-time = "2025-04-17T03:11:21.657Z" }, - { url = "https://files.pythonhosted.org/packages/bf/b6/5f922792be93b82ec6b5f270bbb1ef031fd0622847070bbcf9da816502cc/multiprocess-0.70.18-py312-none-any.whl", hash = "sha256:9b78f8e5024b573730bfb654783a13800c2c0f2dfc0c25e70b40d184d64adaa2", size = 150287, upload-time = "2025-04-17T03:11:22.69Z" }, - { url = "https://files.pythonhosted.org/packages/3b/c3/ca84c19bd14cdfc21c388fdcebf08b86a7a470ebc9f5c3c084fc2dbc50f7/multiprocess-0.70.18-py38-none-any.whl", hash = "sha256:dbf705e52a154fe5e90fb17b38f02556169557c2dd8bb084f2e06c2784d8279b", size = 132636, upload-time = "2025-04-17T03:11:24.936Z" }, - { url = "https://files.pythonhosted.org/packages/6c/28/dd72947e59a6a8c856448a5e74da6201cb5502ddff644fbc790e4bd40b9a/multiprocess-0.70.18-py39-none-any.whl", hash = "sha256:e78ca805a72b1b810c690b6b4cc32579eba34f403094bbbae962b7b5bf9dfcb8", size = 133478, upload-time = "2025-04-17T03:11:26.253Z" }, -] - -[[package]] -name = "networkx" -version = "3.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6a/51/63fe664f3908c97be9d2e4f1158eb633317598cfa6e1fc14af5383f17512/networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509", size = 2517025, upload-time = "2025-12-08T17:02:39.908Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9e/c9/b2622292ea83fbb4ec318f5b9ab867d0a28ab43c5717bb85b0a5f6b3b0a4/networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762", size = 2068504, upload-time = "2025-12-08T17:02:38.159Z" }, -] - -[[package]] -name = "ninja" -version = "1.13.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/43/73/79a0b22fc731989c708068427579e840a6cf4e937fe7ae5c5d0b7356ac22/ninja-1.13.0.tar.gz", hash = "sha256:4a40ce995ded54d9dc24f8ea37ff3bf62ad192b547f6c7126e7e25045e76f978", size = 242558, upload-time = "2025-08-11T15:10:19.421Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3c/74/d02409ed2aa865e051b7edda22ad416a39d81a84980f544f8de717cab133/ninja-1.13.0-py3-none-macosx_10_9_universal2.whl", hash = "sha256:fa2a8bfc62e31b08f83127d1613d10821775a0eb334197154c4d6067b7068ff1", size = 310125, upload-time = "2025-08-11T15:09:50.971Z" }, - { url = "https://files.pythonhosted.org/packages/8e/de/6e1cd6b84b412ac1ef327b76f0641aeb5dcc01e9d3f9eee0286d0c34fd93/ninja-1.13.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3d00c692fb717fd511abeb44b8c5d00340c36938c12d6538ba989fe764e79630", size = 177467, upload-time = "2025-08-11T15:09:52.767Z" }, - { url = "https://files.pythonhosted.org/packages/c8/83/49320fb6e58ae3c079381e333575fdbcf1cca3506ee160a2dcce775046fa/ninja-1.13.0-py3-none-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:be7f478ff9f96a128b599a964fc60a6a87b9fa332ee1bd44fa243ac88d50291c", size = 187834, upload-time = "2025-08-11T15:09:54.115Z" }, - { url = "https://files.pythonhosted.org/packages/56/c7/ba22748fb59f7f896b609cd3e568d28a0a367a6d953c24c461fe04fc4433/ninja-1.13.0-py3-none-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:60056592cf495e9a6a4bea3cd178903056ecb0943e4de45a2ea825edb6dc8d3e", size = 202736, upload-time = "2025-08-11T15:09:55.745Z" }, - { url = "https://files.pythonhosted.org/packages/79/22/d1de07632b78ac8e6b785f41fa9aad7a978ec8c0a1bf15772def36d77aac/ninja-1.13.0-py3-none-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:1c97223cdda0417f414bf864cfb73b72d8777e57ebb279c5f6de368de0062988", size = 179034, upload-time = "2025-08-11T15:09:57.394Z" }, - { url = "https://files.pythonhosted.org/packages/ed/de/0e6edf44d6a04dabd0318a519125ed0415ce437ad5a1ec9b9be03d9048cf/ninja-1.13.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fb46acf6b93b8dd0322adc3a4945452a4e774b75b91293bafcc7b7f8e6517dfa", size = 180716, upload-time = "2025-08-11T15:09:58.696Z" }, - { url = "https://files.pythonhosted.org/packages/54/28/938b562f9057aaa4d6bfbeaa05e81899a47aebb3ba6751e36c027a7f5ff7/ninja-1.13.0-py3-none-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:4be9c1b082d244b1ad7ef41eb8ab088aae8c109a9f3f0b3e56a252d3e00f42c1", size = 146843, upload-time = "2025-08-11T15:10:00.046Z" }, - { url = "https://files.pythonhosted.org/packages/2a/fb/d06a3838de4f8ab866e44ee52a797b5491df823901c54943b2adb0389fbb/ninja-1.13.0-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:6739d3352073341ad284246f81339a384eec091d9851a886dfa5b00a6d48b3e2", size = 154402, upload-time = "2025-08-11T15:10:01.657Z" }, - { url = "https://files.pythonhosted.org/packages/31/bf/0d7808af695ceddc763cf251b84a9892cd7f51622dc8b4c89d5012779f06/ninja-1.13.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:11be2d22027bde06f14c343f01d31446747dbb51e72d00decca2eb99be911e2f", size = 552388, upload-time = "2025-08-11T15:10:03.349Z" }, - { url = "https://files.pythonhosted.org/packages/9d/70/c99d0c2c809f992752453cce312848abb3b1607e56d4cd1b6cded317351a/ninja-1.13.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:aa45b4037b313c2f698bc13306239b8b93b4680eb47e287773156ac9e9304714", size = 472501, upload-time = "2025-08-11T15:10:04.735Z" }, - { url = "https://files.pythonhosted.org/packages/9f/43/c217b1153f0e499652f5e0766da8523ce3480f0a951039c7af115e224d55/ninja-1.13.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:5f8e1e8a1a30835eeb51db05cf5a67151ad37542f5a4af2a438e9490915e5b72", size = 638280, upload-time = "2025-08-11T15:10:06.512Z" }, - { url = "https://files.pythonhosted.org/packages/8c/45/9151bba2c8d0ae2b6260f71696330590de5850e5574b7b5694dce6023e20/ninja-1.13.0-py3-none-musllinux_1_2_ppc64le.whl", hash = "sha256:3d7d7779d12cb20c6d054c61b702139fd23a7a964ec8f2c823f1ab1b084150db", size = 642420, upload-time = "2025-08-11T15:10:08.35Z" }, - { url = "https://files.pythonhosted.org/packages/3c/fb/95752eb635bb8ad27d101d71bef15bc63049de23f299e312878fc21cb2da/ninja-1.13.0-py3-none-musllinux_1_2_riscv64.whl", hash = "sha256:d741a5e6754e0bda767e3274a0f0deeef4807f1fec6c0d7921a0244018926ae5", size = 585106, upload-time = "2025-08-11T15:10:09.818Z" }, - { url = "https://files.pythonhosted.org/packages/c1/31/aa56a1a286703800c0cbe39fb4e82811c277772dc8cd084f442dd8e2938a/ninja-1.13.0-py3-none-musllinux_1_2_s390x.whl", hash = "sha256:e8bad11f8a00b64137e9b315b137d8bb6cbf3086fbdc43bf1f90fd33324d2e96", size = 707138, upload-time = "2025-08-11T15:10:11.366Z" }, - { url = "https://files.pythonhosted.org/packages/34/6f/5f5a54a1041af945130abdb2b8529cbef0cdcbbf9bcf3f4195378319d29a/ninja-1.13.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b4f2a072db3c0f944c32793e91532d8948d20d9ab83da9c0c7c15b5768072200", size = 581758, upload-time = "2025-08-11T15:10:13.295Z" }, - { url = "https://files.pythonhosted.org/packages/95/97/51359c77527d45943fe7a94d00a3843b81162e6c4244b3579fe8fc54cb9c/ninja-1.13.0-py3-none-win32.whl", hash = "sha256:8cfbb80b4a53456ae8a39f90ae3d7a2129f45ea164f43fadfa15dc38c4aef1c9", size = 267201, upload-time = "2025-08-11T15:10:15.158Z" }, - { url = "https://files.pythonhosted.org/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl", hash = "sha256:fb8ee8719f8af47fed145cced4a85f0755dd55d45b2bddaf7431fa89803c5f3e", size = 309975, upload-time = "2025-08-11T15:10:16.697Z" }, - { url = "https://files.pythonhosted.org/packages/df/93/a7b983643d1253bb223234b5b226e69de6cda02b76cdca7770f684b795f5/ninja-1.13.0-py3-none-win_arm64.whl", hash = "sha256:3c0b40b1f0bba764644385319028650087b4c1b18cdfa6f45cb39a3669b81aa9", size = 290806, upload-time = "2025-08-11T15:10:18.018Z" }, -] - -[[package]] -name = "numpy" -version = "2.3.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d0/19/95b3d357407220ed24c139018d2518fab0a61a948e68286a25f1a4d049ff/numpy-2.3.3.tar.gz", hash = "sha256:ddc7c39727ba62b80dfdbedf400d1c10ddfa8eefbd7ec8dcb118be8b56d31029", size = 20576648, upload-time = "2025-09-09T16:54:12.543Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/7a/45/e80d203ef6b267aa29b22714fb558930b27960a0c5ce3c19c999232bb3eb/numpy-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0ffc4f5caba7dfcbe944ed674b7eef683c7e94874046454bb79ed7ee0236f59d", size = 21259253, upload-time = "2025-09-09T15:56:02.094Z" }, - { url = "https://files.pythonhosted.org/packages/52/18/cf2c648fccf339e59302e00e5f2bc87725a3ce1992f30f3f78c9044d7c43/numpy-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e7e946c7170858a0295f79a60214424caac2ffdb0063d4d79cb681f9aa0aa569", size = 14450980, upload-time = "2025-09-09T15:56:05.926Z" }, - { url = "https://files.pythonhosted.org/packages/93/fb/9af1082bec870188c42a1c239839915b74a5099c392389ff04215dcee812/numpy-2.3.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:cd4260f64bc794c3390a63bf0728220dd1a68170c169088a1e0dfa2fde1be12f", size = 5379709, upload-time = "2025-09-09T15:56:07.95Z" }, - { url = "https://files.pythonhosted.org/packages/75/0f/bfd7abca52bcbf9a4a65abc83fe18ef01ccdeb37bfb28bbd6ad613447c79/numpy-2.3.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:f0ddb4b96a87b6728df9362135e764eac3cfa674499943ebc44ce96c478ab125", size = 6913923, upload-time = "2025-09-09T15:56:09.443Z" }, - { url = "https://files.pythonhosted.org/packages/79/55/d69adad255e87ab7afda1caf93ca997859092afeb697703e2f010f7c2e55/numpy-2.3.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:afd07d377f478344ec6ca2b8d4ca08ae8bd44706763d1efb56397de606393f48", size = 14589591, upload-time = "2025-09-09T15:56:11.234Z" }, - { url = "https://files.pythonhosted.org/packages/10/a2/010b0e27ddeacab7839957d7a8f00e91206e0c2c47abbb5f35a2630e5387/numpy-2.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bc92a5dedcc53857249ca51ef29f5e5f2f8c513e22cfb90faeb20343b8c6f7a6", size = 16938714, upload-time = "2025-09-09T15:56:14.637Z" }, - { url = "https://files.pythonhosted.org/packages/1c/6b/12ce8ede632c7126eb2762b9e15e18e204b81725b81f35176eac14dc5b82/numpy-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7af05ed4dc19f308e1d9fc759f36f21921eb7bbfc82843eeec6b2a2863a0aefa", size = 16370592, upload-time = "2025-09-09T15:56:17.285Z" }, - { url = "https://files.pythonhosted.org/packages/b4/35/aba8568b2593067bb6a8fe4c52babb23b4c3b9c80e1b49dff03a09925e4a/numpy-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:433bf137e338677cebdd5beac0199ac84712ad9d630b74eceeb759eaa45ddf30", size = 18884474, upload-time = "2025-09-09T15:56:20.943Z" }, - { url = "https://files.pythonhosted.org/packages/45/fa/7f43ba10c77575e8be7b0138d107e4f44ca4a1ef322cd16980ea3e8b8222/numpy-2.3.3-cp311-cp311-win32.whl", hash = "sha256:eb63d443d7b4ffd1e873f8155260d7f58e7e4b095961b01c91062935c2491e57", size = 6599794, upload-time = "2025-09-09T15:56:23.258Z" }, - { url = "https://files.pythonhosted.org/packages/0a/a2/a4f78cb2241fe5664a22a10332f2be886dcdea8784c9f6a01c272da9b426/numpy-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:ec9d249840f6a565f58d8f913bccac2444235025bbb13e9a4681783572ee3caa", size = 13088104, upload-time = "2025-09-09T15:56:25.476Z" }, - { url = "https://files.pythonhosted.org/packages/79/64/e424e975adbd38282ebcd4891661965b78783de893b381cbc4832fb9beb2/numpy-2.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:74c2a948d02f88c11a3c075d9733f1ae67d97c6bdb97f2bb542f980458b257e7", size = 10460772, upload-time = "2025-09-09T15:56:27.679Z" }, - { url = "https://files.pythonhosted.org/packages/51/5d/bb7fc075b762c96329147799e1bcc9176ab07ca6375ea976c475482ad5b3/numpy-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cfdd09f9c84a1a934cde1eec2267f0a43a7cd44b2cca4ff95b7c0d14d144b0bf", size = 20957014, upload-time = "2025-09-09T15:56:29.966Z" }, - { url = "https://files.pythonhosted.org/packages/6b/0e/c6211bb92af26517acd52125a237a92afe9c3124c6a68d3b9f81b62a0568/numpy-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:cb32e3cf0f762aee47ad1ddc6672988f7f27045b0783c887190545baba73aa25", size = 14185220, upload-time = "2025-09-09T15:56:32.175Z" }, - { url = "https://files.pythonhosted.org/packages/22/f2/07bb754eb2ede9073f4054f7c0286b0d9d2e23982e090a80d478b26d35ca/numpy-2.3.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:396b254daeb0a57b1fe0ecb5e3cff6fa79a380fa97c8f7781a6d08cd429418fe", size = 5113918, upload-time = "2025-09-09T15:56:34.175Z" }, - { url = "https://files.pythonhosted.org/packages/81/0a/afa51697e9fb74642f231ea36aca80fa17c8fb89f7a82abd5174023c3960/numpy-2.3.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:067e3d7159a5d8f8a0b46ee11148fc35ca9b21f61e3c49fbd0a027450e65a33b", size = 6647922, upload-time = "2025-09-09T15:56:36.149Z" }, - { url = "https://files.pythonhosted.org/packages/5d/f5/122d9cdb3f51c520d150fef6e87df9279e33d19a9611a87c0d2cf78a89f4/numpy-2.3.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1c02d0629d25d426585fb2e45a66154081b9fa677bc92a881ff1d216bc9919a8", size = 14281991, upload-time = "2025-09-09T15:56:40.548Z" }, - { url = "https://files.pythonhosted.org/packages/51/64/7de3c91e821a2debf77c92962ea3fe6ac2bc45d0778c1cbe15d4fce2fd94/numpy-2.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d9192da52b9745f7f0766531dcfa978b7763916f158bb63bdb8a1eca0068ab20", size = 16641643, upload-time = "2025-09-09T15:56:43.343Z" }, - { url = "https://files.pythonhosted.org/packages/30/e4/961a5fa681502cd0d68907818b69f67542695b74e3ceaa513918103b7e80/numpy-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cd7de500a5b66319db419dc3c345244404a164beae0d0937283b907d8152e6ea", size = 16056787, upload-time = "2025-09-09T15:56:46.141Z" }, - { url = "https://files.pythonhosted.org/packages/99/26/92c912b966e47fbbdf2ad556cb17e3a3088e2e1292b9833be1dfa5361a1a/numpy-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:93d4962d8f82af58f0b2eb85daaf1b3ca23fe0a85d0be8f1f2b7bb46034e56d7", size = 18579598, upload-time = "2025-09-09T15:56:49.844Z" }, - { url = "https://files.pythonhosted.org/packages/17/b6/fc8f82cb3520768718834f310c37d96380d9dc61bfdaf05fe5c0b7653e01/numpy-2.3.3-cp312-cp312-win32.whl", hash = "sha256:5534ed6b92f9b7dca6c0a19d6df12d41c68b991cef051d108f6dbff3babc4ebf", size = 6320800, upload-time = "2025-09-09T15:56:52.499Z" }, - { url = "https://files.pythonhosted.org/packages/32/ee/de999f2625b80d043d6d2d628c07d0d5555a677a3cf78fdf868d409b8766/numpy-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:497d7cad08e7092dba36e3d296fe4c97708c93daf26643a1ae4b03f6294d30eb", size = 12786615, upload-time = "2025-09-09T15:56:54.422Z" }, - { url = "https://files.pythonhosted.org/packages/49/6e/b479032f8a43559c383acb20816644f5f91c88f633d9271ee84f3b3a996c/numpy-2.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:ca0309a18d4dfea6fc6262a66d06c26cfe4640c3926ceec90e57791a82b6eee5", size = 10195936, upload-time = "2025-09-09T15:56:56.541Z" }, - { url = "https://files.pythonhosted.org/packages/b8/f2/7e0a37cfced2644c9563c529f29fa28acbd0960dde32ece683aafa6f4949/numpy-2.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:1e02c7159791cd481e1e6d5ddd766b62a4d5acf8df4d4d1afe35ee9c5c33a41e", size = 21131019, upload-time = "2025-09-09T15:58:42.838Z" }, - { url = "https://files.pythonhosted.org/packages/1a/7e/3291f505297ed63831135a6cc0f474da0c868a1f31b0dd9a9f03a7a0d2ed/numpy-2.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:dca2d0fc80b3893ae72197b39f69d55a3cd8b17ea1b50aa4c62de82419936150", size = 14376288, upload-time = "2025-09-09T15:58:45.425Z" }, - { url = "https://files.pythonhosted.org/packages/bf/4b/ae02e985bdeee73d7b5abdefeb98aef1207e96d4c0621ee0cf228ddfac3c/numpy-2.3.3-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:99683cbe0658f8271b333a1b1b4bb3173750ad59c0c61f5bbdc5b318918fffe3", size = 5305425, upload-time = "2025-09-09T15:58:48.6Z" }, - { url = "https://files.pythonhosted.org/packages/8b/eb/9df215d6d7250db32007941500dc51c48190be25f2401d5b2b564e467247/numpy-2.3.3-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:d9d537a39cc9de668e5cd0e25affb17aec17b577c6b3ae8a3d866b479fbe88d0", size = 6819053, upload-time = "2025-09-09T15:58:50.401Z" }, - { url = "https://files.pythonhosted.org/packages/57/62/208293d7d6b2a8998a4a1f23ac758648c3c32182d4ce4346062018362e29/numpy-2.3.3-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8596ba2f8af5f93b01d97563832686d20206d303024777f6dfc2e7c7c3f1850e", size = 14420354, upload-time = "2025-09-09T15:58:52.704Z" }, - { url = "https://files.pythonhosted.org/packages/ed/0c/8e86e0ff7072e14a71b4c6af63175e40d1e7e933ce9b9e9f765a95b4e0c3/numpy-2.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e1ec5615b05369925bd1125f27df33f3b6c8bc10d788d5999ecd8769a1fa04db", size = 16760413, upload-time = "2025-09-09T15:58:55.027Z" }, - { url = "https://files.pythonhosted.org/packages/af/11/0cc63f9f321ccf63886ac203336777140011fb669e739da36d8db3c53b98/numpy-2.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:2e267c7da5bf7309670523896df97f93f6e469fb931161f483cd6882b3b1a5dc", size = 12971844, upload-time = "2025-09-09T15:58:57.359Z" }, -] - -[[package]] -name = "nvidia-cublas-cu12" -version = "12.8.4.1" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/61/e24b560ab2e2eaeb3c839129175fb330dfcfc29e5203196e5541a4c44682/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142", size = 594346921, upload-time = "2025-03-07T01:44:31.254Z" }, -] - -[[package]] -name = "nvidia-cuda-cupti-cu12" -version = "12.8.90" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" }, -] - -[[package]] -name = "nvidia-cuda-nvrtc-cu12" -version = "12.8.93" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/05/6b/32f747947df2da6994e999492ab306a903659555dddc0fbdeb9d71f75e52/nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994", size = 88040029, upload-time = "2025-03-07T01:42:13.562Z" }, -] - -[[package]] -name = "nvidia-cuda-runtime-cu12" -version = "12.8.90" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/0d/9b/a997b638fcd068ad6e4d53b8551a7d30fe8b404d6f1804abf1df69838932/nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90", size = 954765, upload-time = "2025-03-07T01:40:01.615Z" }, -] - -[[package]] -name = "nvidia-cudnn-cu12" -version = "9.10.2.21" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "nvidia-cublas-cu12" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" }, -] - -[[package]] -name = "nvidia-cudnn-frontend" -version = "1.18.0" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/e2/9a/83d3d080118de4a7810fa019349edec634b8b37b9cafaacd05719de62dd6/nvidia_cudnn_frontend-1.18.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f6d4d0b88d617b233a503c84980b54d840b60b2734497d1a7a071ec5293daec2", size = 2023709, upload-time = "2026-01-27T23:32:10.912Z" }, - { url = "https://files.pythonhosted.org/packages/13/c7/c3624b3ed77b102618f26295e816b27f1c3ebb1143730237a9f51d403c3f/nvidia_cudnn_frontend-1.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:382ea063b92cbfd5b442cb75ff8422932d78276aecf139e46713ed1ad3d07af4", size = 2155568, upload-time = "2026-01-27T23:07:13.277Z" }, - { url = "https://files.pythonhosted.org/packages/52/dd/8613dfd029d076b86a8a87efe3f4bb4ab73cec15fa8fc27e665098f4d167/nvidia_cudnn_frontend-1.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:baa509effc4d299d3f04e549d4188f88bca8a8b527f483cbd2f66bc18f13a8b1", size = 1591244, upload-time = "2026-01-27T23:08:44.691Z" }, - { url = "https://files.pythonhosted.org/packages/e3/b4/604e230378680ee117849a4e1045baca092f93161a829291a84d5acce70c/nvidia_cudnn_frontend-1.18.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:310b417f2848a83d1437203fcaeea320a74fb7f28af20bf42bf5afc9c01f1c12", size = 2027408, upload-time = "2026-01-27T23:32:46.576Z" }, - { url = "https://files.pythonhosted.org/packages/c6/52/08f98262e77b1cbcc834cc1a5db494d0661ea1dbdea58c2e2d51a57fdaca/nvidia_cudnn_frontend-1.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6c023539ca6de99234cf5102c3ec0d6af817f5396fc93028a22ba5b834a35b8a", size = 2159245, upload-time = "2026-01-27T23:07:32.664Z" }, - { url = "https://files.pythonhosted.org/packages/aa/1f/751a5a8cfdc95fb4dc556192d37369ae488c30c473fe9a3ec720b23d07ea/nvidia_cudnn_frontend-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:e13f7dd46cdb4762dde87f181f06d1c5e15e9478bbdd547bfa74d9b11f415aae", size = 1591041, upload-time = "2026-01-27T23:09:04.118Z" }, -] - -[[package]] -name = "nvidia-cufft-cu12" -version = "11.3.3.83" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "nvidia-nvjitlink-cu12" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" }, -] - -[[package]] -name = "nvidia-cufile-cu12" -version = "1.13.1.3" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/bb/fe/1bcba1dfbfb8d01be8d93f07bfc502c93fa23afa6fd5ab3fc7c1df71038a/nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc", size = 1197834, upload-time = "2025-03-07T01:45:50.723Z" }, -] - -[[package]] -name = "nvidia-curand-cu12" -version = "10.3.9.90" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fb/aa/6584b56dc84ebe9cf93226a5cde4d99080c8e90ab40f0c27bda7a0f29aa1/nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9", size = 63619976, upload-time = "2025-03-07T01:46:23.323Z" }, -] - -[[package]] -name = "nvidia-cusolver-cu12" -version = "11.7.3.90" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "nvidia-cublas-cu12" }, - { name = "nvidia-cusparse-cu12" }, - { name = "nvidia-nvjitlink-cu12" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" }, -] - -[[package]] -name = "nvidia-cusparse-cu12" -version = "12.5.8.93" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "nvidia-nvjitlink-cu12" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" }, -] - -[[package]] -name = "nvidia-cusparselt-cu12" -version = "0.7.1" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/56/79/12978b96bd44274fe38b5dde5cfb660b1d114f70a65ef962bcbbed99b549/nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623", size = 287193691, upload-time = "2025-02-26T00:15:44.104Z" }, -] - -[[package]] -name = "nvidia-cutlass-dsl" -version = "4.2.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "cuda-python" }, - { name = "numpy" }, - { name = "typing-extensions" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/1d/2a/e65312728338e5bb00b592ce0be12b51e7594a3ef288cd8c99bc1c456968/nvidia_cutlass_dsl-4.2.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:04e605417773957405cad0ac6c2d46139a88aca07a783b4f66e1363f3a91a835", size = 58540069, upload-time = "2025-09-23T14:38:56.002Z" }, - { url = "https://files.pythonhosted.org/packages/be/f3/20eacdf9876abd892668c191003edc5d7100e45fabfa027d9f3f99d21871/nvidia_cutlass_dsl-4.2.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:874aa3620b3d3dc6598af2226fa3b78f2e7998b8656929b492259e0c9f778786", size = 62233009, upload-time = "2025-09-23T14:39:23.308Z" }, - { url = "https://files.pythonhosted.org/packages/1e/1d/f168a3dbd8570e5dbbe0deca217d7b374c977b4a4970ebadf3b6d0f1174f/nvidia_cutlass_dsl-4.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:10ace6e2005cb0bc04d158c7660f8ec104ab29aeffb26f1ed3bb0b5a577ccc34", size = 58535504, upload-time = "2025-09-23T14:38:29.028Z" }, - { url = "https://files.pythonhosted.org/packages/02/ab/5bcc0c8c620af5d4acbc71abce10e3eb3023e50342e6bc29b6461f72530e/nvidia_cutlass_dsl-4.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d7ddc9c1f5bb803718d736c907fac857fc606f1fce630c0b1d741935a72723b9", size = 62230361, upload-time = "2025-09-23T14:40:18.156Z" }, -] - -[[package]] -name = "nvidia-ml-py" -version = "13.590.48" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/af/a0/f4fc18cf72f06821a9a665085435b901449986855519d5b3843532db35e9/nvidia_ml_py-13.590.48.tar.gz", hash = "sha256:8184d1be52914ac7f0991cd1c0d946c65dc88a840c754cd12c274b77b88760dd", size = 49732, upload-time = "2026-01-22T01:14:56.456Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fd/72/fb2af0d259a651affdce65fd6a495f0e07a685a0136baf585c5065204ee7/nvidia_ml_py-13.590.48-py3-none-any.whl", hash = "sha256:fd43d30ee9cd0b7940f5f9f9220b68d42722975e3992b6c21d14144c48760e43", size = 50680, upload-time = "2026-01-22T01:14:55.281Z" }, -] - -[[package]] -name = "nvidia-nccl-cu12" -version = "2.27.3" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5c/5b/4e4fff7bad39adf89f735f2bc87248c81db71205b62bcc0d5ca5b606b3c3/nvidia_nccl_cu12-2.27.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adf27ccf4238253e0b826bce3ff5fa532d65fc42322c8bfdfaf28024c0fbe039", size = 322364134, upload-time = "2025-06-03T21:58:04.013Z" }, -] - -[[package]] -name = "nvidia-nvjitlink-cu12" -version = "12.8.93" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f6/74/86a07f1d0f42998ca31312f998bd3b9a7eff7f52378f4f270c8679c77fb9/nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88", size = 39254836, upload-time = "2025-03-07T01:49:55.661Z" }, -] - -[[package]] -name = "nvidia-nvtx-cu12" -version = "12.8.90" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a2/eb/86626c1bbc2edb86323022371c39aa48df6fd8b0a1647bc274577f72e90b/nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f", size = 89954, upload-time = "2025-03-07T01:42:44.131Z" }, -] - -[[package]] -name = "packaging" -version = "26.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/65/ee/299d360cdc32edc7d2cf530f3accf79c4fca01e96ffc950d8a52213bd8e4/packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4", size = 143416, upload-time = "2026-01-21T20:50:39.064Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" }, -] - -[[package]] -name = "pandas" -version = "3.0.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "numpy" }, - { name = "python-dateutil" }, - { name = "tzdata", marker = "sys_platform == 'emscripten' or sys_platform == 'win32'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/2e/0c/b28ed414f080ee0ad153f848586d61d1878f91689950f037f976ce15f6c8/pandas-3.0.1.tar.gz", hash = "sha256:4186a699674af418f655dbd420ed87f50d56b4cd6603784279d9eef6627823c8", size = 4641901, upload-time = "2026-02-17T22:20:16.434Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ff/07/c7087e003ceee9b9a82539b40414ec557aa795b584a1a346e89180853d79/pandas-3.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:de09668c1bf3b925c07e5762291602f0d789eca1b3a781f99c1c78f6cac0e7ea", size = 10323380, upload-time = "2026-02-17T22:18:16.133Z" }, - { url = "https://files.pythonhosted.org/packages/c1/27/90683c7122febeefe84a56f2cde86a9f05f68d53885cebcc473298dfc33e/pandas-3.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:24ba315ba3d6e5806063ac6eb717504e499ce30bd8c236d8693a5fd3f084c796", size = 9923455, upload-time = "2026-02-17T22:18:19.13Z" }, - { url = "https://files.pythonhosted.org/packages/0e/f1/ed17d927f9950643bc7631aa4c99ff0cc83a37864470bc419345b656a41f/pandas-3.0.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:406ce835c55bac912f2a0dcfaf27c06d73c6b04a5dde45f1fd3169ce31337389", size = 10753464, upload-time = "2026-02-17T22:18:21.134Z" }, - { url = "https://files.pythonhosted.org/packages/2e/7c/870c7e7daec2a6c7ff2ac9e33b23317230d4e4e954b35112759ea4a924a7/pandas-3.0.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:830994d7e1f31dd7e790045235605ab61cff6c94defc774547e8b7fdfbff3dc7", size = 11255234, upload-time = "2026-02-17T22:18:24.175Z" }, - { url = "https://files.pythonhosted.org/packages/5c/39/3653fe59af68606282b989c23d1a543ceba6e8099cbcc5f1d506a7bae2aa/pandas-3.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a64ce8b0f2de1d2efd2ae40b0abe7f8ae6b29fbfb3812098ed5a6f8e235ad9bf", size = 11767299, upload-time = "2026-02-17T22:18:26.824Z" }, - { url = "https://files.pythonhosted.org/packages/9b/31/1daf3c0c94a849c7a8dab8a69697b36d313b229918002ba3e409265c7888/pandas-3.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9832c2c69da24b602c32e0c7b1b508a03949c18ba08d4d9f1c1033426685b447", size = 12333292, upload-time = "2026-02-17T22:18:28.996Z" }, - { url = "https://files.pythonhosted.org/packages/1f/67/af63f83cd6ca603a00fe8530c10a60f0879265b8be00b5930e8e78c5b30b/pandas-3.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:84f0904a69e7365f79a0c77d3cdfccbfb05bf87847e3a51a41e1426b0edb9c79", size = 9892176, upload-time = "2026-02-17T22:18:31.79Z" }, - { url = "https://files.pythonhosted.org/packages/79/ab/9c776b14ac4b7b4140788eca18468ea39894bc7340a408f1d1e379856a6b/pandas-3.0.1-cp311-cp311-win_arm64.whl", hash = "sha256:4a68773d5a778afb31d12e34f7dd4612ab90de8c6fb1d8ffe5d4a03b955082a1", size = 9151328, upload-time = "2026-02-17T22:18:35.721Z" }, - { url = "https://files.pythonhosted.org/packages/37/51/b467209c08dae2c624873d7491ea47d2b47336e5403309d433ea79c38571/pandas-3.0.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:476f84f8c20c9f5bc47252b66b4bb25e1a9fc2fa98cead96744d8116cb85771d", size = 10344357, upload-time = "2026-02-17T22:18:38.262Z" }, - { url = "https://files.pythonhosted.org/packages/7c/f1/e2567ffc8951ab371db2e40b2fe068e36b81d8cf3260f06ae508700e5504/pandas-3.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ab749dfba921edf641d4036c4c21c0b3ea70fea478165cb98a998fb2a261955", size = 9884543, upload-time = "2026-02-17T22:18:41.476Z" }, - { url = "https://files.pythonhosted.org/packages/d7/39/327802e0b6d693182403c144edacbc27eb82907b57062f23ef5a4c4a5ea7/pandas-3.0.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b8e36891080b87823aff3640c78649b91b8ff6eea3c0d70aeabd72ea43ab069b", size = 10396030, upload-time = "2026-02-17T22:18:43.822Z" }, - { url = "https://files.pythonhosted.org/packages/3d/fe/89d77e424365280b79d99b3e1e7d606f5165af2f2ecfaf0c6d24c799d607/pandas-3.0.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:532527a701281b9dd371e2f582ed9094f4c12dd9ffb82c0c54ee28d8ac9520c4", size = 10876435, upload-time = "2026-02-17T22:18:45.954Z" }, - { url = "https://files.pythonhosted.org/packages/b5/a6/2a75320849dd154a793f69c951db759aedb8d1dd3939eeacda9bdcfa1629/pandas-3.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:356e5c055ed9b0da1580d465657bc7d00635af4fd47f30afb23025352ba764d1", size = 11405133, upload-time = "2026-02-17T22:18:48.533Z" }, - { url = "https://files.pythonhosted.org/packages/58/53/1d68fafb2e02d7881df66aa53be4cd748d25cbe311f3b3c85c93ea5d30ca/pandas-3.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9d810036895f9ad6345b8f2a338dd6998a74e8483847403582cab67745bff821", size = 11932065, upload-time = "2026-02-17T22:18:50.837Z" }, - { url = "https://files.pythonhosted.org/packages/75/08/67cc404b3a966b6df27b38370ddd96b3b023030b572283d035181854aac5/pandas-3.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:536232a5fe26dd989bd633e7a0c450705fdc86a207fec7254a55e9a22950fe43", size = 9741627, upload-time = "2026-02-17T22:18:53.905Z" }, - { url = "https://files.pythonhosted.org/packages/86/4f/caf9952948fb00d23795f09b893d11f1cacb384e666854d87249530f7cbe/pandas-3.0.1-cp312-cp312-win_arm64.whl", hash = "sha256:0f463ebfd8de7f326d38037c7363c6dacb857c5881ab8961fb387804d6daf2f7", size = 9052483, upload-time = "2026-02-17T22:18:57.31Z" }, -] - -[[package]] -name = "platformdirs" -version = "4.9.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1b/04/fea538adf7dbbd6d186f551d595961e564a3b6715bdf276b477460858672/platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291", size = 28394, upload-time = "2026-02-16T03:56:10.574Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/48/31/05e764397056194206169869b50cf2fee4dbbbc71b344705b9c0d878d4d8/platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd", size = 21168, upload-time = "2026-02-16T03:56:08.891Z" }, -] - -[[package]] -name = "propcache" -version = "0.4.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/9e/da/e9fc233cf63743258bff22b3dfa7ea5baef7b5bc324af47a0ad89b8ffc6f/propcache-0.4.1.tar.gz", hash = "sha256:f48107a8c637e80362555f37ecf49abe20370e557cc4ab374f04ec4423c97c3d", size = 46442, upload-time = "2025-10-08T19:49:02.291Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8c/d4/4e2c9aaf7ac2242b9358f98dccd8f90f2605402f5afeff6c578682c2c491/propcache-0.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:60a8fda9644b7dfd5dece8c61d8a85e271cb958075bfc4e01083c148b61a7caf", size = 80208, upload-time = "2025-10-08T19:46:24.597Z" }, - { url = "https://files.pythonhosted.org/packages/c2/21/d7b68e911f9c8e18e4ae43bdbc1e1e9bbd971f8866eb81608947b6f585ff/propcache-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c30b53e7e6bda1d547cabb47c825f3843a0a1a42b0496087bb58d8fedf9f41b5", size = 45777, upload-time = "2025-10-08T19:46:25.733Z" }, - { url = "https://files.pythonhosted.org/packages/d3/1d/11605e99ac8ea9435651ee71ab4cb4bf03f0949586246476a25aadfec54a/propcache-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6918ecbd897443087a3b7cd978d56546a812517dcaaca51b49526720571fa93e", size = 47647, upload-time = "2025-10-08T19:46:27.304Z" }, - { url = "https://files.pythonhosted.org/packages/58/1a/3c62c127a8466c9c843bccb503d40a273e5cc69838805f322e2826509e0d/propcache-0.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3d902a36df4e5989763425a8ab9e98cd8ad5c52c823b34ee7ef307fd50582566", size = 214929, upload-time = "2025-10-08T19:46:28.62Z" }, - { url = "https://files.pythonhosted.org/packages/56/b9/8fa98f850960b367c4b8fe0592e7fc341daa7a9462e925228f10a60cf74f/propcache-0.4.1-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a9695397f85973bb40427dedddf70d8dc4a44b22f1650dd4af9eedf443d45165", size = 221778, upload-time = "2025-10-08T19:46:30.358Z" }, - { url = "https://files.pythonhosted.org/packages/46/a6/0ab4f660eb59649d14b3d3d65c439421cf2f87fe5dd68591cbe3c1e78a89/propcache-0.4.1-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2bb07ffd7eaad486576430c89f9b215f9e4be68c4866a96e97db9e97fead85dc", size = 228144, upload-time = "2025-10-08T19:46:32.607Z" }, - { url = "https://files.pythonhosted.org/packages/52/6a/57f43e054fb3d3a56ac9fc532bc684fc6169a26c75c353e65425b3e56eef/propcache-0.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fd6f30fdcf9ae2a70abd34da54f18da086160e4d7d9251f81f3da0ff84fc5a48", size = 210030, upload-time = "2025-10-08T19:46:33.969Z" }, - { url = "https://files.pythonhosted.org/packages/40/e2/27e6feebb5f6b8408fa29f5efbb765cd54c153ac77314d27e457a3e993b7/propcache-0.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fc38cba02d1acba4e2869eef1a57a43dfbd3d49a59bf90dda7444ec2be6a5570", size = 208252, upload-time = "2025-10-08T19:46:35.309Z" }, - { url = "https://files.pythonhosted.org/packages/9e/f8/91c27b22ccda1dbc7967f921c42825564fa5336a01ecd72eb78a9f4f53c2/propcache-0.4.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:67fad6162281e80e882fb3ec355398cf72864a54069d060321f6cd0ade95fe85", size = 202064, upload-time = "2025-10-08T19:46:36.993Z" }, - { url = "https://files.pythonhosted.org/packages/f2/26/7f00bd6bd1adba5aafe5f4a66390f243acab58eab24ff1a08bebb2ef9d40/propcache-0.4.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f10207adf04d08bec185bae14d9606a1444715bc99180f9331c9c02093e1959e", size = 212429, upload-time = "2025-10-08T19:46:38.398Z" }, - { url = "https://files.pythonhosted.org/packages/84/89/fd108ba7815c1117ddca79c228f3f8a15fc82a73bca8b142eb5de13b2785/propcache-0.4.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:e9b0d8d0845bbc4cfcdcbcdbf5086886bc8157aa963c31c777ceff7846c77757", size = 216727, upload-time = "2025-10-08T19:46:39.732Z" }, - { url = "https://files.pythonhosted.org/packages/79/37/3ec3f7e3173e73f1d600495d8b545b53802cbf35506e5732dd8578db3724/propcache-0.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:981333cb2f4c1896a12f4ab92a9cc8f09ea664e9b7dbdc4eff74627af3a11c0f", size = 205097, upload-time = "2025-10-08T19:46:41.025Z" }, - { url = "https://files.pythonhosted.org/packages/61/b0/b2631c19793f869d35f47d5a3a56fb19e9160d3c119f15ac7344fc3ccae7/propcache-0.4.1-cp311-cp311-win32.whl", hash = "sha256:f1d2f90aeec838a52f1c1a32fe9a619fefd5e411721a9117fbf82aea638fe8a1", size = 38084, upload-time = "2025-10-08T19:46:42.693Z" }, - { url = "https://files.pythonhosted.org/packages/f4/78/6cce448e2098e9f3bfc91bb877f06aa24b6ccace872e39c53b2f707c4648/propcache-0.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:364426a62660f3f699949ac8c621aad6977be7126c5807ce48c0aeb8e7333ea6", size = 41637, upload-time = "2025-10-08T19:46:43.778Z" }, - { url = "https://files.pythonhosted.org/packages/9c/e9/754f180cccd7f51a39913782c74717c581b9cc8177ad0e949f4d51812383/propcache-0.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:e53f3a38d3510c11953f3e6a33f205c6d1b001129f972805ca9b42fc308bc239", size = 38064, upload-time = "2025-10-08T19:46:44.872Z" }, - { url = "https://files.pythonhosted.org/packages/a2/0f/f17b1b2b221d5ca28b4b876e8bb046ac40466513960646bda8e1853cdfa2/propcache-0.4.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e153e9cd40cc8945138822807139367f256f89c6810c2634a4f6902b52d3b4e2", size = 80061, upload-time = "2025-10-08T19:46:46.075Z" }, - { url = "https://files.pythonhosted.org/packages/76/47/8ccf75935f51448ba9a16a71b783eb7ef6b9ee60f5d14c7f8a8a79fbeed7/propcache-0.4.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cd547953428f7abb73c5ad82cbb32109566204260d98e41e5dfdc682eb7f8403", size = 46037, upload-time = "2025-10-08T19:46:47.23Z" }, - { url = "https://files.pythonhosted.org/packages/0a/b6/5c9a0e42df4d00bfb4a3cbbe5cf9f54260300c88a0e9af1f47ca5ce17ac0/propcache-0.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f048da1b4f243fc44f205dfd320933a951b8d89e0afd4c7cacc762a8b9165207", size = 47324, upload-time = "2025-10-08T19:46:48.384Z" }, - { url = "https://files.pythonhosted.org/packages/9e/d3/6c7ee328b39a81ee877c962469f1e795f9db87f925251efeb0545e0020d0/propcache-0.4.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ec17c65562a827bba85e3872ead335f95405ea1674860d96483a02f5c698fa72", size = 225505, upload-time = "2025-10-08T19:46:50.055Z" }, - { url = "https://files.pythonhosted.org/packages/01/5d/1c53f4563490b1d06a684742cc6076ef944bc6457df6051b7d1a877c057b/propcache-0.4.1-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:405aac25c6394ef275dee4c709be43745d36674b223ba4eb7144bf4d691b7367", size = 230242, upload-time = "2025-10-08T19:46:51.815Z" }, - { url = "https://files.pythonhosted.org/packages/20/e1/ce4620633b0e2422207c3cb774a0ee61cac13abc6217763a7b9e2e3f4a12/propcache-0.4.1-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0013cb6f8dde4b2a2f66903b8ba740bdfe378c943c4377a200551ceb27f379e4", size = 238474, upload-time = "2025-10-08T19:46:53.208Z" }, - { url = "https://files.pythonhosted.org/packages/46/4b/3aae6835b8e5f44ea6a68348ad90f78134047b503765087be2f9912140ea/propcache-0.4.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15932ab57837c3368b024473a525e25d316d8353016e7cc0e5ba9eb343fbb1cf", size = 221575, upload-time = "2025-10-08T19:46:54.511Z" }, - { url = "https://files.pythonhosted.org/packages/6e/a5/8a5e8678bcc9d3a1a15b9a29165640d64762d424a16af543f00629c87338/propcache-0.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:031dce78b9dc099f4c29785d9cf5577a3faf9ebf74ecbd3c856a7b92768c3df3", size = 216736, upload-time = "2025-10-08T19:46:56.212Z" }, - { url = "https://files.pythonhosted.org/packages/f1/63/b7b215eddeac83ca1c6b934f89d09a625aa9ee4ba158338854c87210cc36/propcache-0.4.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ab08df6c9a035bee56e31af99be621526bd237bea9f32def431c656b29e41778", size = 213019, upload-time = "2025-10-08T19:46:57.595Z" }, - { url = "https://files.pythonhosted.org/packages/57/74/f580099a58c8af587cac7ba19ee7cb418506342fbbe2d4a4401661cca886/propcache-0.4.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4d7af63f9f93fe593afbf104c21b3b15868efb2c21d07d8732c0c4287e66b6a6", size = 220376, upload-time = "2025-10-08T19:46:59.067Z" }, - { url = "https://files.pythonhosted.org/packages/c4/ee/542f1313aff7eaf19c2bb758c5d0560d2683dac001a1c96d0774af799843/propcache-0.4.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:cfc27c945f422e8b5071b6e93169679e4eb5bf73bbcbf1ba3ae3a83d2f78ebd9", size = 226988, upload-time = "2025-10-08T19:47:00.544Z" }, - { url = "https://files.pythonhosted.org/packages/8f/18/9c6b015dd9c6930f6ce2229e1f02fb35298b847f2087ea2b436a5bfa7287/propcache-0.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:35c3277624a080cc6ec6f847cbbbb5b49affa3598c4535a0a4682a697aaa5c75", size = 215615, upload-time = "2025-10-08T19:47:01.968Z" }, - { url = "https://files.pythonhosted.org/packages/80/9e/e7b85720b98c45a45e1fca6a177024934dc9bc5f4d5dd04207f216fc33ed/propcache-0.4.1-cp312-cp312-win32.whl", hash = "sha256:671538c2262dadb5ba6395e26c1731e1d52534bfe9ae56d0b5573ce539266aa8", size = 38066, upload-time = "2025-10-08T19:47:03.503Z" }, - { url = "https://files.pythonhosted.org/packages/54/09/d19cff2a5aaac632ec8fc03737b223597b1e347416934c1b3a7df079784c/propcache-0.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:cb2d222e72399fcf5890d1d5cc1060857b9b236adff2792ff48ca2dfd46c81db", size = 41655, upload-time = "2025-10-08T19:47:04.973Z" }, - { url = "https://files.pythonhosted.org/packages/68/ab/6b5c191bb5de08036a8c697b265d4ca76148efb10fa162f14af14fb5f076/propcache-0.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:204483131fb222bdaaeeea9f9e6c6ed0cac32731f75dfc1d4a567fc1926477c1", size = 37789, upload-time = "2025-10-08T19:47:06.077Z" }, - { url = "https://files.pythonhosted.org/packages/5b/5a/bc7b4a4ef808fa59a816c17b20c4bef6884daebbdf627ff2a161da67da19/propcache-0.4.1-py3-none-any.whl", hash = "sha256:af2a6052aeb6cf17d3e46ee169099044fd8224cbaf75c76a2ef596e8163e2237", size = 13305, upload-time = "2025-10-08T19:49:00.792Z" }, -] - -[[package]] -name = "protobuf" -version = "6.33.5" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ba/25/7c72c307aafc96fa87062aa6291d9f7c94836e43214d43722e86037aac02/protobuf-6.33.5.tar.gz", hash = "sha256:6ddcac2a081f8b7b9642c09406bc6a4290128fce5f471cddd165960bb9119e5c", size = 444465, upload-time = "2026-01-29T21:51:33.494Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b1/79/af92d0a8369732b027e6d6084251dd8e782c685c72da161bd4a2e00fbabb/protobuf-6.33.5-cp310-abi3-win32.whl", hash = "sha256:d71b040839446bac0f4d162e758bea99c8251161dae9d0983a3b88dee345153b", size = 425769, upload-time = "2026-01-29T21:51:21.751Z" }, - { url = "https://files.pythonhosted.org/packages/55/75/bb9bc917d10e9ee13dee8607eb9ab963b7cf8be607c46e7862c748aa2af7/protobuf-6.33.5-cp310-abi3-win_amd64.whl", hash = "sha256:3093804752167bcab3998bec9f1048baae6e29505adaf1afd14a37bddede533c", size = 437118, upload-time = "2026-01-29T21:51:24.022Z" }, - { url = "https://files.pythonhosted.org/packages/a2/6b/e48dfc1191bc5b52950246275bf4089773e91cb5ba3592621723cdddca62/protobuf-6.33.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:a5cb85982d95d906df1e2210e58f8e4f1e3cdc088e52c921a041f9c9a0386de5", size = 427766, upload-time = "2026-01-29T21:51:25.413Z" }, - { url = "https://files.pythonhosted.org/packages/4e/b1/c79468184310de09d75095ed1314b839eb2f72df71097db9d1404a1b2717/protobuf-6.33.5-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:9b71e0281f36f179d00cbcb119cb19dec4d14a81393e5ea220f64b286173e190", size = 324638, upload-time = "2026-01-29T21:51:26.423Z" }, - { url = "https://files.pythonhosted.org/packages/c5/f5/65d838092fd01c44d16037953fd4c2cc851e783de9b8f02b27ec4ffd906f/protobuf-6.33.5-cp39-abi3-manylinux2014_s390x.whl", hash = "sha256:8afa18e1d6d20af15b417e728e9f60f3aa108ee76f23c3b2c07a2c3b546d3afd", size = 339411, upload-time = "2026-01-29T21:51:27.446Z" }, - { url = "https://files.pythonhosted.org/packages/9b/53/a9443aa3ca9ba8724fdfa02dd1887c1bcd8e89556b715cfbacca6b63dbec/protobuf-6.33.5-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:cbf16ba3350fb7b889fca858fb215967792dc125b35c7976ca4818bee3521cf0", size = 323465, upload-time = "2026-01-29T21:51:28.925Z" }, - { url = "https://files.pythonhosted.org/packages/57/bf/2086963c69bdac3d7cff1cc7ff79b8ce5ea0bec6797a017e1be338a46248/protobuf-6.33.5-py3-none-any.whl", hash = "sha256:69915a973dd0f60f31a08b8318b73eab2bd6a392c79184b3612226b0a3f8ec02", size = 170687, upload-time = "2026-01-29T21:51:32.557Z" }, -] - -[[package]] -name = "pyarrow" -version = "23.0.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/88/22/134986a4cc224d593c1afde5494d18ff629393d74cc2eddb176669f234a4/pyarrow-23.0.1.tar.gz", hash = "sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019", size = 1167336, upload-time = "2026-02-16T10:14:12.39Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b0/41/8e6b6ef7e225d4ceead8459427a52afdc23379768f54dd3566014d7618c1/pyarrow-23.0.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb", size = 34302230, upload-time = "2026-02-16T10:09:03.859Z" }, - { url = "https://files.pythonhosted.org/packages/bf/4a/1472c00392f521fea03ae93408bf445cc7bfa1ab81683faf9bc188e36629/pyarrow-23.0.1-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350", size = 35850050, upload-time = "2026-02-16T10:09:11.877Z" }, - { url = "https://files.pythonhosted.org/packages/0c/b2/bd1f2f05ded56af7f54d702c8364c9c43cd6abb91b0e9933f3d77b4f4132/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd", size = 44491918, upload-time = "2026-02-16T10:09:18.144Z" }, - { url = "https://files.pythonhosted.org/packages/0b/62/96459ef5b67957eac38a90f541d1c28833d1b367f014a482cb63f3b7cd2d/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9", size = 47562811, upload-time = "2026-02-16T10:09:25.792Z" }, - { url = "https://files.pythonhosted.org/packages/7d/94/1170e235add1f5f45a954e26cd0e906e7e74e23392dcb560de471f7366ec/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701", size = 48183766, upload-time = "2026-02-16T10:09:34.645Z" }, - { url = "https://files.pythonhosted.org/packages/0e/2d/39a42af4570377b99774cdb47f63ee6c7da7616bd55b3d5001aa18edfe4f/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78", size = 50607669, upload-time = "2026-02-16T10:09:44.153Z" }, - { url = "https://files.pythonhosted.org/packages/00/ca/db94101c187f3df742133ac837e93b1f269ebdac49427f8310ee40b6a58f/pyarrow-23.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919", size = 27527698, upload-time = "2026-02-16T10:09:50.263Z" }, - { url = "https://files.pythonhosted.org/packages/9a/4b/4166bb5abbfe6f750fc60ad337c43ecf61340fa52ab386da6e8dbf9e63c4/pyarrow-23.0.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f", size = 34214575, upload-time = "2026-02-16T10:09:56.225Z" }, - { url = "https://files.pythonhosted.org/packages/e1/da/3f941e3734ac8088ea588b53e860baeddac8323ea40ce22e3d0baa865cc9/pyarrow-23.0.1-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7", size = 35832540, upload-time = "2026-02-16T10:10:03.428Z" }, - { url = "https://files.pythonhosted.org/packages/88/7c/3d841c366620e906d54430817531b877ba646310296df42ef697308c2705/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9", size = 44470940, upload-time = "2026-02-16T10:10:10.704Z" }, - { url = "https://files.pythonhosted.org/packages/2c/a5/da83046273d990f256cb79796a190bbf7ec999269705ddc609403f8c6b06/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05", size = 47586063, upload-time = "2026-02-16T10:10:17.95Z" }, - { url = "https://files.pythonhosted.org/packages/5b/3c/b7d2ebcff47a514f47f9da1e74b7949138c58cfeb108cdd4ee62f43f0cf3/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67", size = 48173045, upload-time = "2026-02-16T10:10:25.363Z" }, - { url = "https://files.pythonhosted.org/packages/43/b2/b40961262213beaba6acfc88698eb773dfce32ecdf34d19291db94c2bd73/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730", size = 50621741, upload-time = "2026-02-16T10:10:33.477Z" }, - { url = "https://files.pythonhosted.org/packages/f6/70/1fdda42d65b28b078e93d75d371b2185a61da89dda4def8ba6ba41ebdeb4/pyarrow-23.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0", size = 27620678, upload-time = "2026-02-16T10:10:39.31Z" }, -] - -[[package]] -name = "pydantic" -version = "2.12.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "annotated-types" }, - { name = "pydantic-core" }, - { name = "typing-extensions" }, - { name = "typing-inspection" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/69/44/36f1a6e523abc58ae5f928898e4aca2e0ea509b5aa6f6f392a5d882be928/pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49", size = 821591, upload-time = "2025-11-26T15:11:46.471Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5a/87/b70ad306ebb6f9b585f114d0ac2137d792b48be34d732d60e597c2f8465a/pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d", size = 463580, upload-time = "2025-11-26T15:11:44.605Z" }, -] - -[[package]] -name = "pydantic-core" -version = "2.41.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/71/70/23b021c950c2addd24ec408e9ab05d59b035b39d97cdc1130e1bce647bb6/pydantic_core-2.41.5.tar.gz", hash = "sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e", size = 460952, upload-time = "2025-11-04T13:43:49.098Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/e8/72/74a989dd9f2084b3d9530b0915fdda64ac48831c30dbf7c72a41a5232db8/pydantic_core-2.41.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a3a52f6156e73e7ccb0f8cced536adccb7042be67cb45f9562e12b319c119da6", size = 2105873, upload-time = "2025-11-04T13:39:31.373Z" }, - { url = "https://files.pythonhosted.org/packages/12/44/37e403fd9455708b3b942949e1d7febc02167662bf1a7da5b78ee1ea2842/pydantic_core-2.41.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7f3bf998340c6d4b0c9a2f02d6a400e51f123b59565d74dc60d252ce888c260b", size = 1899826, upload-time = "2025-11-04T13:39:32.897Z" }, - { url = "https://files.pythonhosted.org/packages/33/7f/1d5cab3ccf44c1935a359d51a8a2a9e1a654b744b5e7f80d41b88d501eec/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:378bec5c66998815d224c9ca994f1e14c0c21cb95d2f52b6021cc0b2a58f2a5a", size = 1917869, upload-time = "2025-11-04T13:39:34.469Z" }, - { url = "https://files.pythonhosted.org/packages/6e/6a/30d94a9674a7fe4f4744052ed6c5e083424510be1e93da5bc47569d11810/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e7b576130c69225432866fe2f4a469a85a54ade141d96fd396dffcf607b558f8", size = 2063890, upload-time = "2025-11-04T13:39:36.053Z" }, - { url = "https://files.pythonhosted.org/packages/50/be/76e5d46203fcb2750e542f32e6c371ffa9b8ad17364cf94bb0818dbfb50c/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6cb58b9c66f7e4179a2d5e0f849c48eff5c1fca560994d6eb6543abf955a149e", size = 2229740, upload-time = "2025-11-04T13:39:37.753Z" }, - { url = "https://files.pythonhosted.org/packages/d3/ee/fed784df0144793489f87db310a6bbf8118d7b630ed07aa180d6067e653a/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:88942d3a3dff3afc8288c21e565e476fc278902ae4d6d134f1eeda118cc830b1", size = 2350021, upload-time = "2025-11-04T13:39:40.94Z" }, - { url = "https://files.pythonhosted.org/packages/c8/be/8fed28dd0a180dca19e72c233cbf58efa36df055e5b9d90d64fd1740b828/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f31d95a179f8d64d90f6831d71fa93290893a33148d890ba15de25642c5d075b", size = 2066378, upload-time = "2025-11-04T13:39:42.523Z" }, - { url = "https://files.pythonhosted.org/packages/b0/3b/698cf8ae1d536a010e05121b4958b1257f0b5522085e335360e53a6b1c8b/pydantic_core-2.41.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c1df3d34aced70add6f867a8cf413e299177e0c22660cc767218373d0779487b", size = 2175761, upload-time = "2025-11-04T13:39:44.553Z" }, - { url = "https://files.pythonhosted.org/packages/b8/ba/15d537423939553116dea94ce02f9c31be0fa9d0b806d427e0308ec17145/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4009935984bd36bd2c774e13f9a09563ce8de4abaa7226f5108262fa3e637284", size = 2146303, upload-time = "2025-11-04T13:39:46.238Z" }, - { url = "https://files.pythonhosted.org/packages/58/7f/0de669bf37d206723795f9c90c82966726a2ab06c336deba4735b55af431/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:34a64bc3441dc1213096a20fe27e8e128bd3ff89921706e83c0b1ac971276594", size = 2340355, upload-time = "2025-11-04T13:39:48.002Z" }, - { url = "https://files.pythonhosted.org/packages/e5/de/e7482c435b83d7e3c3ee5ee4451f6e8973cff0eb6007d2872ce6383f6398/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c9e19dd6e28fdcaa5a1de679aec4141f691023916427ef9bae8584f9c2fb3b0e", size = 2319875, upload-time = "2025-11-04T13:39:49.705Z" }, - { url = "https://files.pythonhosted.org/packages/fe/e6/8c9e81bb6dd7560e33b9053351c29f30c8194b72f2d6932888581f503482/pydantic_core-2.41.5-cp311-cp311-win32.whl", hash = "sha256:2c010c6ded393148374c0f6f0bf89d206bf3217f201faa0635dcd56bd1520f6b", size = 1987549, upload-time = "2025-11-04T13:39:51.842Z" }, - { url = "https://files.pythonhosted.org/packages/11/66/f14d1d978ea94d1bc21fc98fcf570f9542fe55bfcc40269d4e1a21c19bf7/pydantic_core-2.41.5-cp311-cp311-win_amd64.whl", hash = "sha256:76ee27c6e9c7f16f47db7a94157112a2f3a00e958bc626e2f4ee8bec5c328fbe", size = 2011305, upload-time = "2025-11-04T13:39:53.485Z" }, - { url = "https://files.pythonhosted.org/packages/56/d8/0e271434e8efd03186c5386671328154ee349ff0354d83c74f5caaf096ed/pydantic_core-2.41.5-cp311-cp311-win_arm64.whl", hash = "sha256:4bc36bbc0b7584de96561184ad7f012478987882ebf9f9c389b23f432ea3d90f", size = 1972902, upload-time = "2025-11-04T13:39:56.488Z" }, - { url = "https://files.pythonhosted.org/packages/5f/5d/5f6c63eebb5afee93bcaae4ce9a898f3373ca23df3ccaef086d0233a35a7/pydantic_core-2.41.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f41a7489d32336dbf2199c8c0a215390a751c5b014c2c1c5366e817202e9cdf7", size = 2110990, upload-time = "2025-11-04T13:39:58.079Z" }, - { url = "https://files.pythonhosted.org/packages/aa/32/9c2e8ccb57c01111e0fd091f236c7b371c1bccea0fa85247ac55b1e2b6b6/pydantic_core-2.41.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:070259a8818988b9a84a449a2a7337c7f430a22acc0859c6b110aa7212a6d9c0", size = 1896003, upload-time = "2025-11-04T13:39:59.956Z" }, - { url = "https://files.pythonhosted.org/packages/68/b8/a01b53cb0e59139fbc9e4fda3e9724ede8de279097179be4ff31f1abb65a/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e96cea19e34778f8d59fe40775a7a574d95816eb150850a85a7a4c8f4b94ac69", size = 1919200, upload-time = "2025-11-04T13:40:02.241Z" }, - { url = "https://files.pythonhosted.org/packages/38/de/8c36b5198a29bdaade07b5985e80a233a5ac27137846f3bc2d3b40a47360/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed2e99c456e3fadd05c991f8f437ef902e00eedf34320ba2b0842bd1c3ca3a75", size = 2052578, upload-time = "2025-11-04T13:40:04.401Z" }, - { url = "https://files.pythonhosted.org/packages/00/b5/0e8e4b5b081eac6cb3dbb7e60a65907549a1ce035a724368c330112adfdd/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65840751b72fbfd82c3c640cff9284545342a4f1eb1586ad0636955b261b0b05", size = 2208504, upload-time = "2025-11-04T13:40:06.072Z" }, - { url = "https://files.pythonhosted.org/packages/77/56/87a61aad59c7c5b9dc8caad5a41a5545cba3810c3e828708b3d7404f6cef/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e536c98a7626a98feb2d3eaf75944ef6f3dbee447e1f841eae16f2f0a72d8ddc", size = 2335816, upload-time = "2025-11-04T13:40:07.835Z" }, - { url = "https://files.pythonhosted.org/packages/0d/76/941cc9f73529988688a665a5c0ecff1112b3d95ab48f81db5f7606f522d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eceb81a8d74f9267ef4081e246ffd6d129da5d87e37a77c9bde550cb04870c1c", size = 2075366, upload-time = "2025-11-04T13:40:09.804Z" }, - { url = "https://files.pythonhosted.org/packages/d3/43/ebef01f69baa07a482844faaa0a591bad1ef129253ffd0cdaa9d8a7f72d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d38548150c39b74aeeb0ce8ee1d8e82696f4a4e16ddc6de7b1d8823f7de4b9b5", size = 2171698, upload-time = "2025-11-04T13:40:12.004Z" }, - { url = "https://files.pythonhosted.org/packages/b1/87/41f3202e4193e3bacfc2c065fab7706ebe81af46a83d3e27605029c1f5a6/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c23e27686783f60290e36827f9c626e63154b82b116d7fe9adba1fda36da706c", size = 2132603, upload-time = "2025-11-04T13:40:13.868Z" }, - { url = "https://files.pythonhosted.org/packages/49/7d/4c00df99cb12070b6bccdef4a195255e6020a550d572768d92cc54dba91a/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:482c982f814460eabe1d3bb0adfdc583387bd4691ef00b90575ca0d2b6fe2294", size = 2329591, upload-time = "2025-11-04T13:40:15.672Z" }, - { url = "https://files.pythonhosted.org/packages/cc/6a/ebf4b1d65d458f3cda6a7335d141305dfa19bdc61140a884d165a8a1bbc7/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bfea2a5f0b4d8d43adf9d7b8bf019fb46fdd10a2e5cde477fbcb9d1fa08c68e1", size = 2319068, upload-time = "2025-11-04T13:40:17.532Z" }, - { url = "https://files.pythonhosted.org/packages/49/3b/774f2b5cd4192d5ab75870ce4381fd89cf218af999515baf07e7206753f0/pydantic_core-2.41.5-cp312-cp312-win32.whl", hash = "sha256:b74557b16e390ec12dca509bce9264c3bbd128f8a2c376eaa68003d7f327276d", size = 1985908, upload-time = "2025-11-04T13:40:19.309Z" }, - { url = "https://files.pythonhosted.org/packages/86/45/00173a033c801cacf67c190fef088789394feaf88a98a7035b0e40d53dc9/pydantic_core-2.41.5-cp312-cp312-win_amd64.whl", hash = "sha256:1962293292865bca8e54702b08a4f26da73adc83dd1fcf26fbc875b35d81c815", size = 2020145, upload-time = "2025-11-04T13:40:21.548Z" }, - { url = "https://files.pythonhosted.org/packages/f9/22/91fbc821fa6d261b376a3f73809f907cec5ca6025642c463d3488aad22fb/pydantic_core-2.41.5-cp312-cp312-win_arm64.whl", hash = "sha256:1746d4a3d9a794cacae06a5eaaccb4b8643a131d45fbc9af23e353dc0a5ba5c3", size = 1976179, upload-time = "2025-11-04T13:40:23.393Z" }, - { url = "https://files.pythonhosted.org/packages/11/72/90fda5ee3b97e51c494938a4a44c3a35a9c96c19bba12372fb9c634d6f57/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:b96d5f26b05d03cc60f11a7761a5ded1741da411e7fe0909e27a5e6a0cb7b034", size = 2115441, upload-time = "2025-11-04T13:42:39.557Z" }, - { url = "https://files.pythonhosted.org/packages/1f/53/8942f884fa33f50794f119012dc6a1a02ac43a56407adaac20463df8e98f/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:634e8609e89ceecea15e2d61bc9ac3718caaaa71963717bf3c8f38bfde64242c", size = 1930291, upload-time = "2025-11-04T13:42:42.169Z" }, - { url = "https://files.pythonhosted.org/packages/79/c8/ecb9ed9cd942bce09fc888ee960b52654fbdbede4ba6c2d6e0d3b1d8b49c/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:93e8740d7503eb008aa2df04d3b9735f845d43ae845e6dcd2be0b55a2da43cd2", size = 1948632, upload-time = "2025-11-04T13:42:44.564Z" }, - { url = "https://files.pythonhosted.org/packages/2e/1b/687711069de7efa6af934e74f601e2a4307365e8fdc404703afc453eab26/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15489ba13d61f670dcc96772e733aad1a6f9c429cc27574c6cdaed82d0146ad", size = 2138905, upload-time = "2025-11-04T13:42:47.156Z" }, - { url = "https://files.pythonhosted.org/packages/09/32/59b0c7e63e277fa7911c2fc70ccfb45ce4b98991e7ef37110663437005af/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:7da7087d756b19037bc2c06edc6c170eeef3c3bafcb8f532ff17d64dc427adfd", size = 2110495, upload-time = "2025-11-04T13:42:49.689Z" }, - { url = "https://files.pythonhosted.org/packages/aa/81/05e400037eaf55ad400bcd318c05bb345b57e708887f07ddb2d20e3f0e98/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:aabf5777b5c8ca26f7824cb4a120a740c9588ed58df9b2d196ce92fba42ff8dc", size = 1915388, upload-time = "2025-11-04T13:42:52.215Z" }, - { url = "https://files.pythonhosted.org/packages/6e/0d/e3549b2399f71d56476b77dbf3cf8937cec5cd70536bdc0e374a421d0599/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c007fe8a43d43b3969e8469004e9845944f1a80e6acd47c150856bb87f230c56", size = 1942879, upload-time = "2025-11-04T13:42:56.483Z" }, - { url = "https://files.pythonhosted.org/packages/f7/07/34573da085946b6a313d7c42f82f16e8920bfd730665de2d11c0c37a74b5/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76d0819de158cd855d1cbb8fcafdf6f5cf1eb8e470abe056d5d161106e38062b", size = 2139017, upload-time = "2025-11-04T13:42:59.471Z" }, - { url = "https://files.pythonhosted.org/packages/5f/9b/1b3f0e9f9305839d7e84912f9e8bfbd191ed1b1ef48083609f0dabde978c/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2379fa7ed44ddecb5bfe4e48577d752db9fc10be00a6b7446e9663ba143de26", size = 2101980, upload-time = "2025-11-04T13:43:25.97Z" }, - { url = "https://files.pythonhosted.org/packages/a4/ed/d71fefcb4263df0da6a85b5d8a7508360f2f2e9b3bf5814be9c8bccdccc1/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:266fb4cbf5e3cbd0b53669a6d1b039c45e3ce651fd5442eff4d07c2cc8d66808", size = 1923865, upload-time = "2025-11-04T13:43:28.763Z" }, - { url = "https://files.pythonhosted.org/packages/ce/3a/626b38db460d675f873e4444b4bb030453bbe7b4ba55df821d026a0493c4/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58133647260ea01e4d0500089a8c4f07bd7aa6ce109682b1426394988d8aaacc", size = 2134256, upload-time = "2025-11-04T13:43:31.71Z" }, - { url = "https://files.pythonhosted.org/packages/83/d9/8412d7f06f616bbc053d30cb4e5f76786af3221462ad5eee1f202021eb4e/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:287dad91cfb551c363dc62899a80e9e14da1f0e2b6ebde82c806612ca2a13ef1", size = 2174762, upload-time = "2025-11-04T13:43:34.744Z" }, - { url = "https://files.pythonhosted.org/packages/55/4c/162d906b8e3ba3a99354e20faa1b49a85206c47de97a639510a0e673f5da/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:03b77d184b9eb40240ae9fd676ca364ce1085f203e1b1256f8ab9984dca80a84", size = 2143141, upload-time = "2025-11-04T13:43:37.701Z" }, - { url = "https://files.pythonhosted.org/packages/1f/f2/f11dd73284122713f5f89fc940f370d035fa8e1e078d446b3313955157fe/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:a668ce24de96165bb239160b3d854943128f4334822900534f2fe947930e5770", size = 2330317, upload-time = "2025-11-04T13:43:40.406Z" }, - { url = "https://files.pythonhosted.org/packages/88/9d/b06ca6acfe4abb296110fb1273a4d848a0bfb2ff65f3ee92127b3244e16b/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f14f8f046c14563f8eb3f45f499cc658ab8d10072961e07225e507adb700e93f", size = 2316992, upload-time = "2025-11-04T13:43:43.602Z" }, - { url = "https://files.pythonhosted.org/packages/36/c7/cfc8e811f061c841d7990b0201912c3556bfeb99cdcb7ed24adc8d6f8704/pydantic_core-2.41.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:56121965f7a4dc965bff783d70b907ddf3d57f6eba29b6d2e5dabfaf07799c51", size = 2145302, upload-time = "2025-11-04T13:43:46.64Z" }, -] - -[[package]] -name = "python-dateutil" -version = "2.9.0.post0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "six" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" }, -] - -[[package]] -name = "pyyaml" -version = "6.0.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" }, - { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" }, - { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" }, - { url = "https://files.pythonhosted.org/packages/10/cb/16c3f2cf3266edd25aaa00d6c4350381c8b012ed6f5276675b9eba8d9ff4/pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00", size = 882114, upload-time = "2025-09-25T21:32:03.376Z" }, - { url = "https://files.pythonhosted.org/packages/71/60/917329f640924b18ff085ab889a11c763e0b573da888e8404ff486657602/pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d", size = 806638, upload-time = "2025-09-25T21:32:04.553Z" }, - { url = "https://files.pythonhosted.org/packages/dd/6f/529b0f316a9fd167281a6c3826b5583e6192dba792dd55e3203d3f8e655a/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a", size = 767463, upload-time = "2025-09-25T21:32:06.152Z" }, - { url = "https://files.pythonhosted.org/packages/f2/6a/b627b4e0c1dd03718543519ffb2f1deea4a1e6d42fbab8021936a4d22589/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4", size = 794986, upload-time = "2025-09-25T21:32:07.367Z" }, - { url = "https://files.pythonhosted.org/packages/45/91/47a6e1c42d9ee337c4839208f30d9f09caa9f720ec7582917b264defc875/pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b", size = 142543, upload-time = "2025-09-25T21:32:08.95Z" }, - { url = "https://files.pythonhosted.org/packages/da/e3/ea007450a105ae919a72393cb06f122f288ef60bba2dc64b26e2646fa315/pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf", size = 158763, upload-time = "2025-09-25T21:32:09.96Z" }, - { url = "https://files.pythonhosted.org/packages/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" }, - { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" }, - { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" }, - { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" }, - { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" }, - { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" }, - { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" }, - { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" }, - { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" }, - { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" }, -] - -[[package]] -name = "regex" -version = "2026.2.28" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8b/71/41455aa99a5a5ac1eaf311f5d8efd9ce6433c03ac1e0962de163350d0d97/regex-2026.2.28.tar.gz", hash = "sha256:a729e47d418ea11d03469f321aaf67cdee8954cde3ff2cf8403ab87951ad10f2", size = 415184, upload-time = "2026-02-28T02:19:42.792Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/04/db/8cbfd0ba3f302f2d09dd0019a9fcab74b63fee77a76c937d0e33161fb8c1/regex-2026.2.28-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e621fb7c8dc147419b28e1702f58a0177ff8308a76fa295c71f3e7827849f5d9", size = 488462, upload-time = "2026-02-28T02:16:22.616Z" }, - { url = "https://files.pythonhosted.org/packages/5d/10/ccc22c52802223f2368731964ddd117799e1390ffc39dbb31634a83022ee/regex-2026.2.28-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0d5bef2031cbf38757a0b0bc4298bb4824b6332d28edc16b39247228fbdbad97", size = 290774, upload-time = "2026-02-28T02:16:23.993Z" }, - { url = "https://files.pythonhosted.org/packages/62/b9/6796b3bf3101e64117201aaa3a5a030ec677ecf34b3cd6141b5d5c6c67d5/regex-2026.2.28-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bcb399ed84eabf4282587ba151f2732ad8168e66f1d3f85b1d038868fe547703", size = 288724, upload-time = "2026-02-28T02:16:25.403Z" }, - { url = "https://files.pythonhosted.org/packages/9c/02/291c0ae3f3a10cea941d0f5366da1843d8d1fa8a25b0671e20a0e454bb38/regex-2026.2.28-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7c1b34dfa72f826f535b20712afa9bb3ba580020e834f3c69866c5bddbf10098", size = 791924, upload-time = "2026-02-28T02:16:26.863Z" }, - { url = "https://files.pythonhosted.org/packages/0f/57/f0235cc520d9672742196c5c15098f8f703f2758d48d5a7465a56333e496/regex-2026.2.28-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:851fa70df44325e1e4cdb79c5e676e91a78147b1b543db2aec8734d2add30ec2", size = 860095, upload-time = "2026-02-28T02:16:28.772Z" }, - { url = "https://files.pythonhosted.org/packages/b3/7c/393c94cbedda79a0f5f2435ebd01644aba0b338d327eb24b4aa5b8d6c07f/regex-2026.2.28-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:516604edd17b1c2c3e579cf4e9b25a53bf8fa6e7cedddf1127804d3e0140ca64", size = 906583, upload-time = "2026-02-28T02:16:30.977Z" }, - { url = "https://files.pythonhosted.org/packages/2c/73/a72820f47ca5abf2b5d911d0407ba5178fc52cf9780191ed3a54f5f419a2/regex-2026.2.28-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e7ce83654d1ab701cb619285a18a8e5a889c1216d746ddc710c914ca5fd71022", size = 800234, upload-time = "2026-02-28T02:16:32.55Z" }, - { url = "https://files.pythonhosted.org/packages/34/b3/6e6a4b7b31fa998c4cf159a12cbeaf356386fbd1a8be743b1e80a3da51e4/regex-2026.2.28-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f2791948f7c70bb9335a9102df45e93d428f4b8128020d85920223925d73b9e1", size = 772803, upload-time = "2026-02-28T02:16:34.029Z" }, - { url = "https://files.pythonhosted.org/packages/10/e7/5da0280c765d5a92af5e1cd324b3fe8464303189cbaa449de9a71910e273/regex-2026.2.28-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:03a83cc26aa2acda6b8b9dfe748cf9e84cbd390c424a1de34fdcef58961a297a", size = 781117, upload-time = "2026-02-28T02:16:36.253Z" }, - { url = "https://files.pythonhosted.org/packages/76/39/0b8d7efb256ae34e1b8157acc1afd8758048a1cf0196e1aec2e71fd99f4b/regex-2026.2.28-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:ec6f5674c5dc836994f50f1186dd1fafde4be0666aae201ae2fcc3d29d8adf27", size = 854224, upload-time = "2026-02-28T02:16:38.119Z" }, - { url = "https://files.pythonhosted.org/packages/21/ff/a96d483ebe8fe6d1c67907729202313895d8de8495569ec319c6f29d0438/regex-2026.2.28-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:50c2fc924749543e0eacc93ada6aeeb3ea5f6715825624baa0dccaec771668ae", size = 761898, upload-time = "2026-02-28T02:16:40.333Z" }, - { url = "https://files.pythonhosted.org/packages/89/bd/d4f2e75cb4a54b484e796017e37c0d09d8a0a837de43d17e238adf163f4e/regex-2026.2.28-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:ba55c50f408fb5c346a3a02d2ce0ebc839784e24f7c9684fde328ff063c3cdea", size = 844832, upload-time = "2026-02-28T02:16:41.875Z" }, - { url = "https://files.pythonhosted.org/packages/8a/a7/428a135cf5e15e4e11d1e696eb2bf968362f8ea8a5f237122e96bc2ae950/regex-2026.2.28-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:edb1b1b3a5576c56f08ac46f108c40333f222ebfd5cf63afdfa3aab0791ebe5b", size = 788347, upload-time = "2026-02-28T02:16:43.472Z" }, - { url = "https://files.pythonhosted.org/packages/a9/59/68691428851cf9c9c3707217ab1d9b47cfeec9d153a49919e6c368b9e926/regex-2026.2.28-cp311-cp311-win32.whl", hash = "sha256:948c12ef30ecedb128903c2c2678b339746eb7c689c5c21957c4a23950c96d15", size = 266033, upload-time = "2026-02-28T02:16:45.094Z" }, - { url = "https://files.pythonhosted.org/packages/42/8b/1483de1c57024e89296cbcceb9cccb3f625d416ddb46e570be185c9b05a9/regex-2026.2.28-cp311-cp311-win_amd64.whl", hash = "sha256:fd63453f10d29097cc3dc62d070746523973fb5aa1c66d25f8558bebd47fed61", size = 277978, upload-time = "2026-02-28T02:16:46.75Z" }, - { url = "https://files.pythonhosted.org/packages/a4/36/abec45dc6e7252e3dbc797120496e43bb5730a7abf0d9cb69340696a2f2d/regex-2026.2.28-cp311-cp311-win_arm64.whl", hash = "sha256:00f2b8d9615aa165fdff0a13f1a92049bfad555ee91e20d246a51aa0b556c60a", size = 270340, upload-time = "2026-02-28T02:16:48.626Z" }, - { url = "https://files.pythonhosted.org/packages/07/42/9061b03cf0fc4b5fa2c3984cbbaed54324377e440a5c5a29d29a72518d62/regex-2026.2.28-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:fcf26c3c6d0da98fada8ae4ef0aa1c3405a431c0a77eb17306d38a89b02adcd7", size = 489574, upload-time = "2026-02-28T02:16:50.455Z" }, - { url = "https://files.pythonhosted.org/packages/77/83/0c8a5623a233015595e3da499c5a1c13720ac63c107897a6037bb97af248/regex-2026.2.28-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:02473c954af35dd2defeb07e44182f5705b30ea3f351a7cbffa9177beb14da5d", size = 291426, upload-time = "2026-02-28T02:16:52.52Z" }, - { url = "https://files.pythonhosted.org/packages/9e/06/3ef1ac6910dc3295ebd71b1f9bfa737e82cfead211a18b319d45f85ddd09/regex-2026.2.28-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9b65d33a17101569f86d9c5966a8b1d7fbf8afdda5a8aa219301b0a80f58cf7d", size = 289200, upload-time = "2026-02-28T02:16:54.08Z" }, - { url = "https://files.pythonhosted.org/packages/dd/c9/8cc8d850b35ab5650ff6756a1cb85286e2000b66c97520b29c1587455344/regex-2026.2.28-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e71dcecaa113eebcc96622c17692672c2d104b1d71ddf7adeda90da7ddeb26fc", size = 796765, upload-time = "2026-02-28T02:16:55.905Z" }, - { url = "https://files.pythonhosted.org/packages/e9/5d/57702597627fc23278ebf36fbb497ac91c0ce7fec89ac6c81e420ca3e38c/regex-2026.2.28-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:481df4623fa4969c8b11f3433ed7d5e3dc9cec0f008356c3212b3933fb77e3d8", size = 863093, upload-time = "2026-02-28T02:16:58.094Z" }, - { url = "https://files.pythonhosted.org/packages/02/6d/f3ecad537ca2811b4d26b54ca848cf70e04fcfc138667c146a9f3157779c/regex-2026.2.28-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:64e7c6ad614573e0640f271e811a408d79a9e1fe62a46adb602f598df42a818d", size = 909455, upload-time = "2026-02-28T02:17:00.918Z" }, - { url = "https://files.pythonhosted.org/packages/9e/40/bb226f203caa22c1043c1ca79b36340156eca0f6a6742b46c3bb222a3a57/regex-2026.2.28-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6b08a06976ff4fb0d83077022fde3eca06c55432bb997d8c0495b9a4e9872f4", size = 802037, upload-time = "2026-02-28T02:17:02.842Z" }, - { url = "https://files.pythonhosted.org/packages/44/7c/c6d91d8911ac6803b45ca968e8e500c46934e58c0903cbc6d760ee817a0a/regex-2026.2.28-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:864cdd1a2ef5716b0ab468af40139e62ede1b3a53386b375ec0786bb6783fc05", size = 775113, upload-time = "2026-02-28T02:17:04.506Z" }, - { url = "https://files.pythonhosted.org/packages/dc/8d/4a9368d168d47abd4158580b8c848709667b1cd293ff0c0c277279543bd0/regex-2026.2.28-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:511f7419f7afab475fd4d639d4aedfc54205bcb0800066753ef68a59f0f330b5", size = 784194, upload-time = "2026-02-28T02:17:06.888Z" }, - { url = "https://files.pythonhosted.org/packages/cc/bf/2c72ab5d8b7be462cb1651b5cc333da1d0068740342f350fcca3bca31947/regex-2026.2.28-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:b42f7466e32bf15a961cf09f35fa6323cc72e64d3d2c990b10de1274a5da0a59", size = 856846, upload-time = "2026-02-28T02:17:09.11Z" }, - { url = "https://files.pythonhosted.org/packages/7c/f4/6b65c979bb6d09f51bb2d2a7bc85de73c01ec73335d7ddd202dcb8cd1c8f/regex-2026.2.28-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:8710d61737b0c0ce6836b1da7109f20d495e49b3809f30e27e9560be67a257bf", size = 763516, upload-time = "2026-02-28T02:17:11.004Z" }, - { url = "https://files.pythonhosted.org/packages/8e/32/29ea5e27400ee86d2cc2b4e80aa059df04eaf78b4f0c18576ae077aeff68/regex-2026.2.28-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:4390c365fd2d45278f45afd4673cb90f7285f5701607e3ad4274df08e36140ae", size = 849278, upload-time = "2026-02-28T02:17:12.693Z" }, - { url = "https://files.pythonhosted.org/packages/1d/91/3233d03b5f865111cd517e1c95ee8b43e8b428d61fa73764a80c9bb6f537/regex-2026.2.28-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:cb3b1db8ff6c7b8bf838ab05583ea15230cb2f678e569ab0e3a24d1e8320940b", size = 790068, upload-time = "2026-02-28T02:17:14.9Z" }, - { url = "https://files.pythonhosted.org/packages/76/92/abc706c1fb03b4580a09645b206a3fc032f5a9f457bc1a8038ac555658ab/regex-2026.2.28-cp312-cp312-win32.whl", hash = "sha256:f8ed9a5d4612df9d4de15878f0bc6aa7a268afbe5af21a3fdd97fa19516e978c", size = 266416, upload-time = "2026-02-28T02:17:17.15Z" }, - { url = "https://files.pythonhosted.org/packages/fa/06/2a6f7dff190e5fa9df9fb4acf2fdf17a1aa0f7f54596cba8de608db56b3a/regex-2026.2.28-cp312-cp312-win_amd64.whl", hash = "sha256:01d65fd24206c8e1e97e2e31b286c59009636c022eb5d003f52760b0f42155d4", size = 277297, upload-time = "2026-02-28T02:17:18.723Z" }, - { url = "https://files.pythonhosted.org/packages/b7/f0/58a2484851fadf284458fdbd728f580d55c1abac059ae9f048c63b92f427/regex-2026.2.28-cp312-cp312-win_arm64.whl", hash = "sha256:c0b5ccbb8ffb433939d248707d4a8b31993cb76ab1a0187ca886bf50e96df952", size = 270408, upload-time = "2026-02-28T02:17:20.328Z" }, -] - -[[package]] -name = "requests" -version = "2.32.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "certifi" }, - { name = "charset-normalizer" }, - { name = "idna" }, - { name = "urllib3" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/c9/74/b3ff8e6c8446842c3f5c837e9c3dfcfe2018ea6ecef224c710c85ef728f4/requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf", size = 134517, upload-time = "2025-08-18T20:46:02.573Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload-time = "2025-08-18T20:46:00.542Z" }, -] - -[[package]] -name = "safetensors" -version = "0.6.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ac/cc/738f3011628920e027a11754d9cae9abec1aed00f7ae860abbf843755233/safetensors-0.6.2.tar.gz", hash = "sha256:43ff2aa0e6fa2dc3ea5524ac7ad93a9839256b8703761e76e2d0b2a3fa4f15d9", size = 197968, upload-time = "2025-08-08T13:13:58.654Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/4d/b1/3f5fd73c039fc87dba3ff8b5d528bfc5a32b597fea8e7a6a4800343a17c7/safetensors-0.6.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:9c85ede8ec58f120bad982ec47746981e210492a6db876882aa021446af8ffba", size = 454797, upload-time = "2025-08-08T13:13:52.066Z" }, - { url = "https://files.pythonhosted.org/packages/8c/c9/bb114c158540ee17907ec470d01980957fdaf87b4aa07914c24eba87b9c6/safetensors-0.6.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d6675cf4b39c98dbd7d940598028f3742e0375a6b4d4277e76beb0c35f4b843b", size = 432206, upload-time = "2025-08-08T13:13:50.931Z" }, - { url = "https://files.pythonhosted.org/packages/d3/8e/f70c34e47df3110e8e0bb268d90db8d4be8958a54ab0336c9be4fe86dac8/safetensors-0.6.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d2d2b3ce1e2509c68932ca03ab8f20570920cd9754b05063d4368ee52833ecd", size = 473261, upload-time = "2025-08-08T13:13:41.259Z" }, - { url = "https://files.pythonhosted.org/packages/2a/f5/be9c6a7c7ef773e1996dc214e73485286df1836dbd063e8085ee1976f9cb/safetensors-0.6.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:93de35a18f46b0f5a6a1f9e26d91b442094f2df02e9fd7acf224cfec4238821a", size = 485117, upload-time = "2025-08-08T13:13:43.506Z" }, - { url = "https://files.pythonhosted.org/packages/c9/55/23f2d0a2c96ed8665bf17a30ab4ce5270413f4d74b6d87dd663258b9af31/safetensors-0.6.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:89a89b505f335640f9120fac65ddeb83e40f1fd081cb8ed88b505bdccec8d0a1", size = 616154, upload-time = "2025-08-08T13:13:45.096Z" }, - { url = "https://files.pythonhosted.org/packages/98/c6/affb0bd9ce02aa46e7acddbe087912a04d953d7a4d74b708c91b5806ef3f/safetensors-0.6.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fc4d0d0b937e04bdf2ae6f70cd3ad51328635fe0e6214aa1fc811f3b576b3bda", size = 520713, upload-time = "2025-08-08T13:13:46.25Z" }, - { url = "https://files.pythonhosted.org/packages/fe/5d/5a514d7b88e310c8b146e2404e0dc161282e78634d9358975fd56dfd14be/safetensors-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8045db2c872db8f4cbe3faa0495932d89c38c899c603f21e9b6486951a5ecb8f", size = 485835, upload-time = "2025-08-08T13:13:49.373Z" }, - { url = "https://files.pythonhosted.org/packages/7a/7b/4fc3b2ba62c352b2071bea9cfbad330fadda70579f617506ae1a2f129cab/safetensors-0.6.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:81e67e8bab9878bb568cffbc5f5e655adb38d2418351dc0859ccac158f753e19", size = 521503, upload-time = "2025-08-08T13:13:47.651Z" }, - { url = "https://files.pythonhosted.org/packages/5a/50/0057e11fe1f3cead9254315a6c106a16dd4b1a19cd247f7cc6414f6b7866/safetensors-0.6.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:b0e4d029ab0a0e0e4fdf142b194514695b1d7d3735503ba700cf36d0fc7136ce", size = 652256, upload-time = "2025-08-08T13:13:53.167Z" }, - { url = "https://files.pythonhosted.org/packages/e9/29/473f789e4ac242593ac1656fbece6e1ecd860bb289e635e963667807afe3/safetensors-0.6.2-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:fa48268185c52bfe8771e46325a1e21d317207bcabcb72e65c6e28e9ffeb29c7", size = 747281, upload-time = "2025-08-08T13:13:54.656Z" }, - { url = "https://files.pythonhosted.org/packages/68/52/f7324aad7f2df99e05525c84d352dc217e0fa637a4f603e9f2eedfbe2c67/safetensors-0.6.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:d83c20c12c2d2f465997c51b7ecb00e407e5f94d7dec3ea0cc11d86f60d3fde5", size = 692286, upload-time = "2025-08-08T13:13:55.884Z" }, - { url = "https://files.pythonhosted.org/packages/ad/fe/cad1d9762868c7c5dc70c8620074df28ebb1a8e4c17d4c0cb031889c457e/safetensors-0.6.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d944cea65fad0ead848b6ec2c37cc0b197194bec228f8020054742190e9312ac", size = 655957, upload-time = "2025-08-08T13:13:57.029Z" }, - { url = "https://files.pythonhosted.org/packages/59/a7/e2158e17bbe57d104f0abbd95dff60dda916cf277c9f9663b4bf9bad8b6e/safetensors-0.6.2-cp38-abi3-win32.whl", hash = "sha256:cab75ca7c064d3911411461151cb69380c9225798a20e712b102edda2542ddb1", size = 308926, upload-time = "2025-08-08T13:14:01.095Z" }, - { url = "https://files.pythonhosted.org/packages/2c/c3/c0be1135726618dc1e28d181b8c442403d8dbb9e273fd791de2d4384bcdd/safetensors-0.6.2-cp38-abi3-win_amd64.whl", hash = "sha256:c7b214870df923cbc1593c3faee16bec59ea462758699bd3fee399d00aac072c", size = 320192, upload-time = "2025-08-08T13:13:59.467Z" }, -] - -[[package]] -name = "sentry-sdk" -version = "2.54.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "certifi" }, - { name = "urllib3" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/c8/e9/2e3a46c304e7fa21eaa70612f60354e32699c7102eb961f67448e222ad7c/sentry_sdk-2.54.0.tar.gz", hash = "sha256:2620c2575128d009b11b20f7feb81e4e4e8ae08ec1d36cbc845705060b45cc1b", size = 413813, upload-time = "2026-03-02T15:12:41.355Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/53/39/be412cc86bc6247b8f69e9383d7950711bd86f8d0a4a4b0fe8fad685bc21/sentry_sdk-2.54.0-py2.py3-none-any.whl", hash = "sha256:fd74e0e281dcda63afff095d23ebcd6e97006102cdc8e78a29f19ecdf796a0de", size = 439198, upload-time = "2026-03-02T15:12:39.546Z" }, -] - -[[package]] -name = "setuptools" -version = "82.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/82/f3/748f4d6f65d1756b9ae577f329c951cda23fb900e4de9f70900ced962085/setuptools-82.0.0.tar.gz", hash = "sha256:22e0a2d69474c6ae4feb01951cb69d515ed23728cf96d05513d36e42b62b37cb", size = 1144893, upload-time = "2026-02-08T15:08:40.206Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/e1/c6/76dc613121b793286a3f91621d7b75a2b493e0390ddca50f11993eadf192/setuptools-82.0.0-py3-none-any.whl", hash = "sha256:70b18734b607bd1da571d097d236cfcfacaf01de45717d59e6e04b96877532e0", size = 1003468, upload-time = "2026-02-08T15:08:38.723Z" }, -] - -[[package]] -name = "sgl-kernel" -version = "0.3.17.post1" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/57/a2/d2b36e0b8a7b5d88117d8d96c4eb612fe3677069316d444479ff78c73547/sgl_kernel-0.3.17.post1-cp310-abi3-manylinux2014_aarch64.whl", hash = "sha256:330057ad2d239e9363ee9abd85ed445ee1795161c60b7357f9792103121039cc", size = 341776329, upload-time = "2025-11-15T15:39:54.528Z" }, - { url = "https://files.pythonhosted.org/packages/10/8f/6286c74887c42ee4e888a6c36170ff394185e581fbecce2f1bf5c174b96e/sgl_kernel-0.3.17.post1-cp310-abi3-manylinux2014_x86_64.whl", hash = "sha256:c864e6d6eebcd91e59a71ba781739761a21774f0cb862578381f54f504f93b4a", size = 511995347, upload-time = "2025-11-15T15:41:45.029Z" }, -] - -[[package]] -name = "six" -version = "1.17.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" }, -] - -[[package]] -name = "smmap" -version = "5.0.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/44/cd/a040c4b3119bbe532e5b0732286f805445375489fceaec1f48306068ee3b/smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5", size = 22329, upload-time = "2025-01-02T07:14:40.909Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/04/be/d09147ad1ec7934636ad912901c5fd7667e1c858e19d355237db0d0cd5e4/smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e", size = 24303, upload-time = "2025-01-02T07:14:38.724Z" }, -] - -[[package]] -name = "ssd" -version = "0.2.0" -source = { editable = "." } -dependencies = [ - { name = "flashinfer-python" }, - { name = "hf-transfer" }, - { name = "numpy" }, - { name = "nvidia-cutlass-dsl" }, - { name = "safetensors" }, - { name = "sgl-kernel" }, - { name = "tiktoken" }, - { name = "torch" }, - { name = "tqdm" }, - { name = "transformers" }, - { name = "triton" }, - { name = "wandb" }, - { name = "xxhash" }, -] - -[package.optional-dependencies] -scripts = [ - { name = "datasets" }, - { name = "huggingface-hub" }, -] - -[package.metadata] -requires-dist = [ - { name = "datasets", marker = "extra == 'scripts'" }, - { name = "flashinfer-python", specifier = "==0.5.2" }, - { name = "hf-transfer" }, - { name = "huggingface-hub", marker = "extra == 'scripts'" }, - { name = "numpy", specifier = "==2.3.3" }, - { name = "nvidia-cutlass-dsl", specifier = "==4.2.1" }, - { name = "safetensors", specifier = "==0.6.2" }, - { name = "sgl-kernel", specifier = "==0.3.17.post1" }, - { name = "tiktoken" }, - { name = "torch", specifier = "==2.8.0" }, - { name = "tqdm", specifier = "==4.67.1" }, - { name = "transformers", specifier = "==4.57.1" }, - { name = "triton", specifier = "==3.4.0" }, - { name = "wandb", specifier = "==0.22.0" }, - { name = "xxhash", specifier = "==3.5.0" }, -] -provides-extras = ["scripts"] - -[[package]] -name = "sympy" -version = "1.14.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "mpmath" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/83/d3/803453b36afefb7c2bb238361cd4ae6125a569b4db67cd9e79846ba2d68c/sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517", size = 7793921, upload-time = "2025-04-27T18:05:01.611Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5", size = 6299353, upload-time = "2025-04-27T18:04:59.103Z" }, -] - -[[package]] -name = "tabulate" -version = "0.9.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090, upload-time = "2022-10-06T17:21:48.54Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252, upload-time = "2022-10-06T17:21:44.262Z" }, -] - -[[package]] -name = "tiktoken" -version = "0.12.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "regex" }, - { name = "requests" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/7d/ab/4d017d0f76ec3171d469d80fc03dfbb4e48a4bcaddaa831b31d526f05edc/tiktoken-0.12.0.tar.gz", hash = "sha256:b18ba7ee2b093863978fcb14f74b3707cdc8d4d4d3836853ce7ec60772139931", size = 37806, upload-time = "2025-10-06T20:22:45.419Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/de/46/21ea696b21f1d6d1efec8639c204bdf20fde8bafb351e1355c72c5d7de52/tiktoken-0.12.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6e227c7f96925003487c33b1b32265fad2fbcec2b7cf4817afb76d416f40f6bb", size = 1051565, upload-time = "2025-10-06T20:21:44.566Z" }, - { url = "https://files.pythonhosted.org/packages/c9/d9/35c5d2d9e22bb2a5f74ba48266fb56c63d76ae6f66e02feb628671c0283e/tiktoken-0.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c06cf0fcc24c2cb2adb5e185c7082a82cba29c17575e828518c2f11a01f445aa", size = 995284, upload-time = "2025-10-06T20:21:45.622Z" }, - { url = "https://files.pythonhosted.org/packages/01/84/961106c37b8e49b9fdcf33fe007bb3a8fdcc380c528b20cc7fbba80578b8/tiktoken-0.12.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:f18f249b041851954217e9fd8e5c00b024ab2315ffda5ed77665a05fa91f42dc", size = 1129201, upload-time = "2025-10-06T20:21:47.074Z" }, - { url = "https://files.pythonhosted.org/packages/6a/d0/3d9275198e067f8b65076a68894bb52fd253875f3644f0a321a720277b8a/tiktoken-0.12.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:47a5bc270b8c3db00bb46ece01ef34ad050e364b51d406b6f9730b64ac28eded", size = 1152444, upload-time = "2025-10-06T20:21:48.139Z" }, - { url = "https://files.pythonhosted.org/packages/78/db/a58e09687c1698a7c592e1038e01c206569b86a0377828d51635561f8ebf/tiktoken-0.12.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:508fa71810c0efdcd1b898fda574889ee62852989f7c1667414736bcb2b9a4bd", size = 1195080, upload-time = "2025-10-06T20:21:49.246Z" }, - { url = "https://files.pythonhosted.org/packages/9e/1b/a9e4d2bf91d515c0f74afc526fd773a812232dd6cda33ebea7f531202325/tiktoken-0.12.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a1af81a6c44f008cba48494089dd98cccb8b313f55e961a52f5b222d1e507967", size = 1255240, upload-time = "2025-10-06T20:21:50.274Z" }, - { url = "https://files.pythonhosted.org/packages/9d/15/963819345f1b1fb0809070a79e9dd96938d4ca41297367d471733e79c76c/tiktoken-0.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:3e68e3e593637b53e56f7237be560f7a394451cb8c11079755e80ae64b9e6def", size = 879422, upload-time = "2025-10-06T20:21:51.734Z" }, - { url = "https://files.pythonhosted.org/packages/a4/85/be65d39d6b647c79800fd9d29241d081d4eeb06271f383bb87200d74cf76/tiktoken-0.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b97f74aca0d78a1ff21b8cd9e9925714c15a9236d6ceacf5c7327c117e6e21e8", size = 1050728, upload-time = "2025-10-06T20:21:52.756Z" }, - { url = "https://files.pythonhosted.org/packages/4a/42/6573e9129bc55c9bf7300b3a35bef2c6b9117018acca0dc760ac2d93dffe/tiktoken-0.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2b90f5ad190a4bb7c3eb30c5fa32e1e182ca1ca79f05e49b448438c3e225a49b", size = 994049, upload-time = "2025-10-06T20:21:53.782Z" }, - { url = "https://files.pythonhosted.org/packages/66/c5/ed88504d2f4a5fd6856990b230b56d85a777feab84e6129af0822f5d0f70/tiktoken-0.12.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:65b26c7a780e2139e73acc193e5c63ac754021f160df919add909c1492c0fb37", size = 1129008, upload-time = "2025-10-06T20:21:54.832Z" }, - { url = "https://files.pythonhosted.org/packages/f4/90/3dae6cc5436137ebd38944d396b5849e167896fc2073da643a49f372dc4f/tiktoken-0.12.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:edde1ec917dfd21c1f2f8046b86348b0f54a2c0547f68149d8600859598769ad", size = 1152665, upload-time = "2025-10-06T20:21:56.129Z" }, - { url = "https://files.pythonhosted.org/packages/a3/fe/26df24ce53ffde419a42f5f53d755b995c9318908288c17ec3f3448313a3/tiktoken-0.12.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:35a2f8ddd3824608b3d650a000c1ef71f730d0c56486845705a8248da00f9fe5", size = 1194230, upload-time = "2025-10-06T20:21:57.546Z" }, - { url = "https://files.pythonhosted.org/packages/20/cc/b064cae1a0e9fac84b0d2c46b89f4e57051a5f41324e385d10225a984c24/tiktoken-0.12.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:83d16643edb7fa2c99eff2ab7733508aae1eebb03d5dfc46f5565862810f24e3", size = 1254688, upload-time = "2025-10-06T20:21:58.619Z" }, - { url = "https://files.pythonhosted.org/packages/81/10/b8523105c590c5b8349f2587e2fdfe51a69544bd5a76295fc20f2374f470/tiktoken-0.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:ffc5288f34a8bc02e1ea7047b8d041104791d2ddbf42d1e5fa07822cbffe16bd", size = 878694, upload-time = "2025-10-06T20:21:59.876Z" }, -] - -[[package]] -name = "tokenizers" -version = "0.22.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "huggingface-hub" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/73/6f/f80cfef4a312e1fb34baf7d85c72d4411afde10978d4657f8cdd811d3ccc/tokenizers-0.22.2.tar.gz", hash = "sha256:473b83b915e547aa366d1eee11806deaf419e17be16310ac0a14077f1e28f917", size = 372115, upload-time = "2026-01-05T10:45:15.988Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/92/97/5dbfabf04c7e348e655e907ed27913e03db0923abb5dfdd120d7b25630e1/tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c", size = 3100275, upload-time = "2026-01-05T10:41:02.158Z" }, - { url = "https://files.pythonhosted.org/packages/2e/47/174dca0502ef88b28f1c9e06b73ce33500eedfac7a7692108aec220464e7/tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001", size = 2981472, upload-time = "2026-01-05T10:41:00.276Z" }, - { url = "https://files.pythonhosted.org/packages/d6/84/7990e799f1309a8b87af6b948f31edaa12a3ed22d11b352eaf4f4b2e5753/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2249487018adec45d6e3554c71d46eb39fa8ea67156c640f7513eb26f318cec7", size = 3290736, upload-time = "2026-01-05T10:40:32.165Z" }, - { url = "https://files.pythonhosted.org/packages/78/59/09d0d9ba94dcd5f4f1368d4858d24546b4bdc0231c2354aa31d6199f0399/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25b85325d0815e86e0bac263506dd114578953b7b53d7de09a6485e4a160a7dd", size = 3168835, upload-time = "2026-01-05T10:40:38.847Z" }, - { url = "https://files.pythonhosted.org/packages/47/50/b3ebb4243e7160bda8d34b731e54dd8ab8b133e50775872e7a434e524c28/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bfb88f22a209ff7b40a576d5324bf8286b519d7358663db21d6246fb17eea2d5", size = 3521673, upload-time = "2026-01-05T10:40:56.614Z" }, - { url = "https://files.pythonhosted.org/packages/e0/fa/89f4cb9e08df770b57adb96f8cbb7e22695a4cb6c2bd5f0c4f0ebcf33b66/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1c774b1276f71e1ef716e5486f21e76333464f47bece56bbd554485982a9e03e", size = 3724818, upload-time = "2026-01-05T10:40:44.507Z" }, - { url = "https://files.pythonhosted.org/packages/64/04/ca2363f0bfbe3b3d36e95bf67e56a4c88c8e3362b658e616d1ac185d47f2/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df6c4265b289083bf710dff49bc51ef252f9d5be33a45ee2bed151114a56207b", size = 3379195, upload-time = "2026-01-05T10:40:51.139Z" }, - { url = "https://files.pythonhosted.org/packages/2e/76/932be4b50ef6ccedf9d3c6639b056a967a86258c6d9200643f01269211ca/tokenizers-0.22.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:369cc9fc8cc10cb24143873a0d95438bb8ee257bb80c71989e3ee290e8d72c67", size = 3274982, upload-time = "2026-01-05T10:40:58.331Z" }, - { url = "https://files.pythonhosted.org/packages/1d/28/5f9f5a4cc211b69e89420980e483831bcc29dade307955cc9dc858a40f01/tokenizers-0.22.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:29c30b83d8dcd061078b05ae0cb94d3c710555fbb44861139f9f83dcca3dc3e4", size = 9478245, upload-time = "2026-01-05T10:41:04.053Z" }, - { url = "https://files.pythonhosted.org/packages/6c/fb/66e2da4704d6aadebf8cb39f1d6d1957df667ab24cff2326b77cda0dcb85/tokenizers-0.22.2-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:37ae80a28c1d3265bb1f22464c856bd23c02a05bb211e56d0c5301a435be6c1a", size = 9560069, upload-time = "2026-01-05T10:45:10.673Z" }, - { url = "https://files.pythonhosted.org/packages/16/04/fed398b05caa87ce9b1a1bb5166645e38196081b225059a6edaff6440fac/tokenizers-0.22.2-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:791135ee325f2336f498590eb2f11dc5c295232f288e75c99a36c5dbce63088a", size = 9899263, upload-time = "2026-01-05T10:45:12.559Z" }, - { url = "https://files.pythonhosted.org/packages/05/a1/d62dfe7376beaaf1394917e0f8e93ee5f67fea8fcf4107501db35996586b/tokenizers-0.22.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:38337540fbbddff8e999d59970f3c6f35a82de10053206a7562f1ea02d046fa5", size = 10033429, upload-time = "2026-01-05T10:45:14.333Z" }, - { url = "https://files.pythonhosted.org/packages/fd/18/a545c4ea42af3df6effd7d13d250ba77a0a86fb20393143bbb9a92e434d4/tokenizers-0.22.2-cp39-abi3-win32.whl", hash = "sha256:a6bf3f88c554a2b653af81f3204491c818ae2ac6fbc09e76ef4773351292bc92", size = 2502363, upload-time = "2026-01-05T10:45:20.593Z" }, - { url = "https://files.pythonhosted.org/packages/65/71/0670843133a43d43070abeb1949abfdef12a86d490bea9cd9e18e37c5ff7/tokenizers-0.22.2-cp39-abi3-win_amd64.whl", hash = "sha256:c9ea31edff2968b44a88f97d784c2f16dc0729b8b143ed004699ebca91f05c48", size = 2747786, upload-time = "2026-01-05T10:45:18.411Z" }, - { url = "https://files.pythonhosted.org/packages/72/f4/0de46cfa12cdcbcd464cc59fde36912af405696f687e53a091fb432f694c/tokenizers-0.22.2-cp39-abi3-win_arm64.whl", hash = "sha256:9ce725d22864a1e965217204946f830c37876eee3b2ba6fc6255e8e903d5fcbc", size = 2612133, upload-time = "2026-01-05T10:45:17.232Z" }, -] - -[[package]] -name = "torch" -version = "2.8.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "filelock" }, - { name = "fsspec" }, - { name = "jinja2" }, - { name = "networkx" }, - { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cufile-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-cusparselt-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "setuptools", marker = "python_full_version >= '3.12'" }, - { name = "sympy" }, - { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "typing-extensions" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/8f/c4/3e7a3887eba14e815e614db70b3b529112d1513d9dae6f4d43e373360b7f/torch-2.8.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:220a06fd7af8b653c35d359dfe1aaf32f65aa85befa342629f716acb134b9710", size = 102073391, upload-time = "2025-08-06T14:53:20.937Z" }, - { url = "https://files.pythonhosted.org/packages/5a/63/4fdc45a0304536e75a5e1b1bbfb1b56dd0e2743c48ee83ca729f7ce44162/torch-2.8.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:c12fa219f51a933d5f80eeb3a7a5d0cbe9168c0a14bbb4055f1979431660879b", size = 888063640, upload-time = "2025-08-06T14:55:05.325Z" }, - { url = "https://files.pythonhosted.org/packages/84/57/2f64161769610cf6b1c5ed782bd8a780e18a3c9d48931319f2887fa9d0b1/torch-2.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:8c7ef765e27551b2fbfc0f41bcf270e1292d9bf79f8e0724848b1682be6e80aa", size = 241366752, upload-time = "2025-08-06T14:53:38.692Z" }, - { url = "https://files.pythonhosted.org/packages/a4/5e/05a5c46085d9b97e928f3f037081d3d2b87fb4b4195030fc099aaec5effc/torch-2.8.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:5ae0524688fb6707c57a530c2325e13bb0090b745ba7b4a2cd6a3ce262572916", size = 73621174, upload-time = "2025-08-06T14:53:25.44Z" }, - { url = "https://files.pythonhosted.org/packages/49/0c/2fd4df0d83a495bb5e54dca4474c4ec5f9c62db185421563deeb5dabf609/torch-2.8.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:e2fab4153768d433f8ed9279c8133a114a034a61e77a3a104dcdf54388838705", size = 101906089, upload-time = "2025-08-06T14:53:52.631Z" }, - { url = "https://files.pythonhosted.org/packages/99/a8/6acf48d48838fb8fe480597d98a0668c2beb02ee4755cc136de92a0a956f/torch-2.8.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b2aca0939fb7e4d842561febbd4ffda67a8e958ff725c1c27e244e85e982173c", size = 887913624, upload-time = "2025-08-06T14:56:44.33Z" }, - { url = "https://files.pythonhosted.org/packages/af/8a/5c87f08e3abd825c7dfecef5a0f1d9aa5df5dd0e3fd1fa2f490a8e512402/torch-2.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:2f4ac52f0130275d7517b03a33d2493bab3693c83dcfadf4f81688ea82147d2e", size = 241326087, upload-time = "2025-08-06T14:53:46.503Z" }, - { url = "https://files.pythonhosted.org/packages/be/66/5c9a321b325aaecb92d4d1855421e3a055abd77903b7dab6575ca07796db/torch-2.8.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:619c2869db3ada2c0105487ba21b5008defcc472d23f8b80ed91ac4a380283b0", size = 73630478, upload-time = "2025-08-06T14:53:57.144Z" }, -] - -[[package]] -name = "tqdm" -version = "4.67.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "colorama", marker = "sys_platform == 'win32'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737, upload-time = "2024-11-24T20:12:22.481Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540, upload-time = "2024-11-24T20:12:19.698Z" }, -] - -[[package]] -name = "transformers" -version = "4.57.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "filelock" }, - { name = "huggingface-hub" }, - { name = "numpy" }, - { name = "packaging" }, - { name = "pyyaml" }, - { name = "regex" }, - { name = "requests" }, - { name = "safetensors" }, - { name = "tokenizers" }, - { name = "tqdm" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/d6/68/a39307bcc4116a30b2106f2e689130a48de8bd8a1e635b5e1030e46fcd9e/transformers-4.57.1.tar.gz", hash = "sha256:f06c837959196c75039809636cd964b959f6604b75b8eeec6fdfc0440b89cc55", size = 10142511, upload-time = "2025-10-14T15:39:26.18Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/71/d3/c16c3b3cf7655a67db1144da94b021c200ac1303f82428f2beef6c2e72bb/transformers-4.57.1-py3-none-any.whl", hash = "sha256:b10d05da8fa67dc41644dbbf9bc45a44cb86ae33da6f9295f5fbf5b7890bd267", size = 11990925, upload-time = "2025-10-14T15:39:23.085Z" }, -] - -[[package]] -name = "triton" -version = "3.4.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "setuptools" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/7d/39/43325b3b651d50187e591eefa22e236b2981afcebaefd4f2fc0ea99df191/triton-3.4.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b70f5e6a41e52e48cfc087436c8a28c17ff98db369447bcaff3b887a3ab4467", size = 155531138, upload-time = "2025-07-30T19:58:29.908Z" }, - { url = "https://files.pythonhosted.org/packages/d0/66/b1eb52839f563623d185f0927eb3530ee4d5ffe9d377cdaf5346b306689e/triton-3.4.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:31c1d84a5c0ec2c0f8e8a072d7fd150cab84a9c239eaddc6706c081bfae4eb04", size = 155560068, upload-time = "2025-07-30T19:58:37.081Z" }, -] - -[[package]] -name = "typing-extensions" -version = "4.15.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" }, -] - -[[package]] -name = "typing-inspection" -version = "0.4.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/55/e3/70399cb7dd41c10ac53367ae42139cf4b1ca5f36bb3dc6c9d33acdb43655/typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464", size = 75949, upload-time = "2025-10-01T02:14:41.687Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" }, -] - -[[package]] -name = "tzdata" -version = "2025.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c7/b0/003792df09decd6849a5e39c28b513c06e84436a54440380862b5aeff25d/tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1", size = 348521, upload-time = "2025-12-13T17:45:33.889Z" }, -] - -[[package]] -name = "urllib3" -version = "2.6.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" }, -] - -[[package]] -name = "wandb" -version = "0.22.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "click" }, - { name = "gitpython" }, - { name = "packaging" }, - { name = "platformdirs" }, - { name = "protobuf" }, - { name = "pydantic" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "sentry-sdk" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/93/37/0d4194707ceaa3168fa9ce54c1332bf15958bdbf67837f39cfac2e3b98bb/wandb-0.22.0.tar.gz", hash = "sha256:717e3d085f8f57dbde745c9ec6d605e51b2da51e47a7d2a7bfa82c9c6e3d3f5a", size = 40241826, upload-time = "2025-09-18T19:13:22.256Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/19/7d/8841e39e4f97a8777babad57b13856b5e24d6efe35ad75649c8da28472d9/wandb-0.22.0-py3-none-macosx_12_0_arm64.whl", hash = "sha256:8650a14615c23dcfc8cf393f88d41a879d6bfffb3c290a556aeb6ee62986c359", size = 18343096, upload-time = "2025-09-18T19:12:58.473Z" }, - { url = "https://files.pythonhosted.org/packages/c1/6e/0416fea679527b80109c083782ae2696a6c37ac45e7f8901c27b665ea94b/wandb-0.22.0-py3-none-macosx_12_0_x86_64.whl", hash = "sha256:94ec449b3ed9516cad7008ab37c55b299d0036cdadfa83688b7245bd6ba04dd3", size = 19373158, upload-time = "2025-09-18T19:13:02.441Z" }, - { url = "https://files.pythonhosted.org/packages/db/58/48499272541eb21c3db2e28a0dc128270e8acb533a358944306210b1cb9e/wandb-0.22.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b2fe78b5f2d1ec7396f7925c7ac33f04ea0a62f07779cb654c45633d17dfc45", size = 18149252, upload-time = "2025-09-18T19:13:05.344Z" }, - { url = "https://files.pythonhosted.org/packages/06/c7/93a70c6f31ea127fd1c89800e6e733e172d9eaba6a33c9e08348503df78b/wandb-0.22.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44da9a83301d89c008f608832b74237f9e0a0758b2bb6d69ba51652818fffb5e", size = 19564075, upload-time = "2025-09-18T19:13:07.882Z" }, - { url = "https://files.pythonhosted.org/packages/c0/d8/910e4dee2dc2010d688087244d0502621105d5f314088af9265081c73079/wandb-0.22.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:21f05cc609c62c8ccba7c3338f9288d723c64d16ffd4fa70c02d6db60b42abae", size = 18188310, upload-time = "2025-09-18T19:13:10.321Z" }, - { url = "https://files.pythonhosted.org/packages/97/ac/2c09e536aca56d01b50207acc25aadbe0ee6ae8b825ec0f30c5ea7c1cd2f/wandb-0.22.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:884d37fb8d4daeb4d1f68ad8b5ea2817cabecc715efaff2f89bf006f2e977e37", size = 19658593, upload-time = "2025-09-18T19:13:13.812Z" }, - { url = "https://files.pythonhosted.org/packages/29/cb/d5f832adfd68f3a4700928e0cbdac78acb0f3182983a57a020cd1c5bab26/wandb-0.22.0-py3-none-win32.whl", hash = "sha256:60776fae528c3f64caf47a94dec08899c308f96fe974e0a82cefddb9a65e223c", size = 18742395, upload-time = "2025-09-18T19:13:16.496Z" }, - { url = "https://files.pythonhosted.org/packages/3c/c9/d9f0c7b8a743af589e694ce8fec8e6cffa46873179912d4ed4f992d08381/wandb-0.22.0-py3-none-win_amd64.whl", hash = "sha256:53ba0fa048b766c1aa44592f1e530fb7eead7749089a66c3892b35f153a8d8bd", size = 18742399, upload-time = "2025-09-18T19:13:19.26Z" }, -] - -[[package]] -name = "xxhash" -version = "3.5.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/00/5e/d6e5258d69df8b4ed8c83b6664f2b47d30d2dec551a29ad72a6c69eafd31/xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f", size = 84241, upload-time = "2024-08-17T09:20:38.972Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b8/c7/afed0f131fbda960ff15eee7f304fa0eeb2d58770fade99897984852ef23/xxhash-3.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:02c2e816896dc6f85922ced60097bcf6f008dedfc5073dcba32f9c8dd786f3c1", size = 31969, upload-time = "2024-08-17T09:18:00.852Z" }, - { url = "https://files.pythonhosted.org/packages/8c/0c/7c3bc6d87e5235672fcc2fb42fd5ad79fe1033925f71bf549ee068c7d1ca/xxhash-3.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6027dcd885e21581e46d3c7f682cfb2b870942feeed58a21c29583512c3f09f8", size = 30800, upload-time = "2024-08-17T09:18:01.863Z" }, - { url = "https://files.pythonhosted.org/packages/04/9e/01067981d98069eec1c20201f8c145367698e9056f8bc295346e4ea32dd1/xxhash-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1308fa542bbdbf2fa85e9e66b1077eea3a88bef38ee8a06270b4298a7a62a166", size = 221566, upload-time = "2024-08-17T09:18:03.461Z" }, - { url = "https://files.pythonhosted.org/packages/d4/09/d4996de4059c3ce5342b6e1e6a77c9d6c91acce31f6ed979891872dd162b/xxhash-3.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c28b2fdcee797e1c1961cd3bcd3d545cab22ad202c846235197935e1df2f8ef7", size = 201214, upload-time = "2024-08-17T09:18:05.616Z" }, - { url = "https://files.pythonhosted.org/packages/62/f5/6d2dc9f8d55a7ce0f5e7bfef916e67536f01b85d32a9fbf137d4cadbee38/xxhash-3.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:924361811732ddad75ff23e90efd9ccfda4f664132feecb90895bade6a1b4623", size = 429433, upload-time = "2024-08-17T09:18:06.957Z" }, - { url = "https://files.pythonhosted.org/packages/d9/72/9256303f10e41ab004799a4aa74b80b3c5977d6383ae4550548b24bd1971/xxhash-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89997aa1c4b6a5b1e5b588979d1da048a3c6f15e55c11d117a56b75c84531f5a", size = 194822, upload-time = "2024-08-17T09:18:08.331Z" }, - { url = "https://files.pythonhosted.org/packages/34/92/1a3a29acd08248a34b0e6a94f4e0ed9b8379a4ff471f1668e4dce7bdbaa8/xxhash-3.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:685c4f4e8c59837de103344eb1c8a3851f670309eb5c361f746805c5471b8c88", size = 208538, upload-time = "2024-08-17T09:18:10.332Z" }, - { url = "https://files.pythonhosted.org/packages/53/ad/7fa1a109663366de42f724a1cdb8e796a260dbac45047bce153bc1e18abf/xxhash-3.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dbd2ecfbfee70bc1a4acb7461fa6af7748ec2ab08ac0fa298f281c51518f982c", size = 216953, upload-time = "2024-08-17T09:18:11.707Z" }, - { url = "https://files.pythonhosted.org/packages/35/02/137300e24203bf2b2a49b48ce898ecce6fd01789c0fcd9c686c0a002d129/xxhash-3.5.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:25b5a51dc3dfb20a10833c8eee25903fd2e14059e9afcd329c9da20609a307b2", size = 203594, upload-time = "2024-08-17T09:18:13.799Z" }, - { url = "https://files.pythonhosted.org/packages/23/03/aeceb273933d7eee248c4322b98b8e971f06cc3880e5f7602c94e5578af5/xxhash-3.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a8fb786fb754ef6ff8c120cb96629fb518f8eb5a61a16aac3a979a9dbd40a084", size = 210971, upload-time = "2024-08-17T09:18:15.824Z" }, - { url = "https://files.pythonhosted.org/packages/e3/64/ed82ec09489474cbb35c716b189ddc1521d8b3de12b1b5ab41ce7f70253c/xxhash-3.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:a905ad00ad1e1c34fe4e9d7c1d949ab09c6fa90c919860c1534ff479f40fd12d", size = 415050, upload-time = "2024-08-17T09:18:17.142Z" }, - { url = "https://files.pythonhosted.org/packages/71/43/6db4c02dcb488ad4e03bc86d70506c3d40a384ee73c9b5c93338eb1f3c23/xxhash-3.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:963be41bcd49f53af6d795f65c0da9b4cc518c0dd9c47145c98f61cb464f4839", size = 192216, upload-time = "2024-08-17T09:18:18.779Z" }, - { url = "https://files.pythonhosted.org/packages/22/6d/db4abec29e7a567455344433d095fdb39c97db6955bb4a2c432e486b4d28/xxhash-3.5.0-cp311-cp311-win32.whl", hash = "sha256:109b436096d0a2dd039c355fa3414160ec4d843dfecc64a14077332a00aeb7da", size = 30120, upload-time = "2024-08-17T09:18:20.009Z" }, - { url = "https://files.pythonhosted.org/packages/52/1c/fa3b61c0cf03e1da4767213672efe186b1dfa4fc901a4a694fb184a513d1/xxhash-3.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:b702f806693201ad6c0a05ddbbe4c8f359626d0b3305f766077d51388a6bac58", size = 30003, upload-time = "2024-08-17T09:18:21.052Z" }, - { url = "https://files.pythonhosted.org/packages/6b/8e/9e6fc572acf6e1cc7ccb01973c213f895cb8668a9d4c2b58a99350da14b7/xxhash-3.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:c4dcb4120d0cc3cc448624147dba64e9021b278c63e34a38789b688fd0da9bf3", size = 26777, upload-time = "2024-08-17T09:18:22.809Z" }, - { url = "https://files.pythonhosted.org/packages/07/0e/1bfce2502c57d7e2e787600b31c83535af83746885aa1a5f153d8c8059d6/xxhash-3.5.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:14470ace8bd3b5d51318782cd94e6f94431974f16cb3b8dc15d52f3b69df8e00", size = 31969, upload-time = "2024-08-17T09:18:24.025Z" }, - { url = "https://files.pythonhosted.org/packages/3f/d6/8ca450d6fe5b71ce521b4e5db69622383d039e2b253e9b2f24f93265b52c/xxhash-3.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:59aa1203de1cb96dbeab595ded0ad0c0056bb2245ae11fac11c0ceea861382b9", size = 30787, upload-time = "2024-08-17T09:18:25.318Z" }, - { url = "https://files.pythonhosted.org/packages/5b/84/de7c89bc6ef63d750159086a6ada6416cc4349eab23f76ab870407178b93/xxhash-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08424f6648526076e28fae6ea2806c0a7d504b9ef05ae61d196d571e5c879c84", size = 220959, upload-time = "2024-08-17T09:18:26.518Z" }, - { url = "https://files.pythonhosted.org/packages/fe/86/51258d3e8a8545ff26468c977101964c14d56a8a37f5835bc0082426c672/xxhash-3.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:61a1ff00674879725b194695e17f23d3248998b843eb5e933007ca743310f793", size = 200006, upload-time = "2024-08-17T09:18:27.905Z" }, - { url = "https://files.pythonhosted.org/packages/02/0a/96973bd325412feccf23cf3680fd2246aebf4b789122f938d5557c54a6b2/xxhash-3.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f2f2c61bee5844d41c3eb015ac652a0229e901074951ae48581d58bfb2ba01be", size = 428326, upload-time = "2024-08-17T09:18:29.335Z" }, - { url = "https://files.pythonhosted.org/packages/11/a7/81dba5010f7e733de88af9555725146fc133be97ce36533867f4c7e75066/xxhash-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d32a592cac88d18cc09a89172e1c32d7f2a6e516c3dfde1b9adb90ab5df54a6", size = 194380, upload-time = "2024-08-17T09:18:30.706Z" }, - { url = "https://files.pythonhosted.org/packages/fb/7d/f29006ab398a173f4501c0e4977ba288f1c621d878ec217b4ff516810c04/xxhash-3.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:70dabf941dede727cca579e8c205e61121afc9b28516752fd65724be1355cc90", size = 207934, upload-time = "2024-08-17T09:18:32.133Z" }, - { url = "https://files.pythonhosted.org/packages/8a/6e/6e88b8f24612510e73d4d70d9b0c7dff62a2e78451b9f0d042a5462c8d03/xxhash-3.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e5d0ddaca65ecca9c10dcf01730165fd858533d0be84c75c327487c37a906a27", size = 216301, upload-time = "2024-08-17T09:18:33.474Z" }, - { url = "https://files.pythonhosted.org/packages/af/51/7862f4fa4b75a25c3b4163c8a873f070532fe5f2d3f9b3fc869c8337a398/xxhash-3.5.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:3e5b5e16c5a480fe5f59f56c30abdeba09ffd75da8d13f6b9b6fd224d0b4d0a2", size = 203351, upload-time = "2024-08-17T09:18:34.889Z" }, - { url = "https://files.pythonhosted.org/packages/22/61/8d6a40f288f791cf79ed5bb113159abf0c81d6efb86e734334f698eb4c59/xxhash-3.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:149b7914451eb154b3dfaa721315117ea1dac2cc55a01bfbd4df7c68c5dd683d", size = 210294, upload-time = "2024-08-17T09:18:36.355Z" }, - { url = "https://files.pythonhosted.org/packages/17/02/215c4698955762d45a8158117190261b2dbefe9ae7e5b906768c09d8bc74/xxhash-3.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:eade977f5c96c677035ff39c56ac74d851b1cca7d607ab3d8f23c6b859379cab", size = 414674, upload-time = "2024-08-17T09:18:38.536Z" }, - { url = "https://files.pythonhosted.org/packages/31/5c/b7a8db8a3237cff3d535261325d95de509f6a8ae439a5a7a4ffcff478189/xxhash-3.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fa9f547bd98f5553d03160967866a71056a60960be00356a15ecc44efb40ba8e", size = 192022, upload-time = "2024-08-17T09:18:40.138Z" }, - { url = "https://files.pythonhosted.org/packages/78/e3/dd76659b2811b3fd06892a8beb850e1996b63e9235af5a86ea348f053e9e/xxhash-3.5.0-cp312-cp312-win32.whl", hash = "sha256:f7b58d1fd3551b8c80a971199543379be1cee3d0d409e1f6d8b01c1a2eebf1f8", size = 30170, upload-time = "2024-08-17T09:18:42.163Z" }, - { url = "https://files.pythonhosted.org/packages/d9/6b/1c443fe6cfeb4ad1dcf231cdec96eb94fb43d6498b4469ed8b51f8b59a37/xxhash-3.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:fa0cafd3a2af231b4e113fba24a65d7922af91aeb23774a8b78228e6cd785e3e", size = 30040, upload-time = "2024-08-17T09:18:43.699Z" }, - { url = "https://files.pythonhosted.org/packages/0f/eb/04405305f290173acc0350eba6d2f1a794b57925df0398861a20fbafa415/xxhash-3.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:586886c7e89cb9828bcd8a5686b12e161368e0064d040e225e72607b43858ba2", size = 26796, upload-time = "2024-08-17T09:18:45.29Z" }, -] - -[[package]] -name = "yarl" -version = "1.23.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "idna" }, - { name = "multidict" }, - { name = "propcache" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/23/6e/beb1beec874a72f23815c1434518bfc4ed2175065173fb138c3705f658d4/yarl-1.23.0.tar.gz", hash = "sha256:53b1ea6ca88ebd4420379c330aea57e258408dd0df9af0992e5de2078dc9f5d5", size = 194676, upload-time = "2026-03-01T22:07:53.373Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a2/aa/60da938b8f0997ba3a911263c40d82b6f645a67902a490b46f3355e10fae/yarl-1.23.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b35d13d549077713e4414f927cdc388d62e543987c572baee613bf82f11a4b99", size = 123641, upload-time = "2026-03-01T22:04:42.841Z" }, - { url = "https://files.pythonhosted.org/packages/24/84/e237607faf4e099dbb8a4f511cfd5efcb5f75918baad200ff7380635631b/yarl-1.23.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cbb0fef01f0c6b38cb0f39b1f78fc90b807e0e3c86a7ff3ce74ad77ce5c7880c", size = 86248, upload-time = "2026-03-01T22:04:44.757Z" }, - { url = "https://files.pythonhosted.org/packages/b2/0d/71ceabc14c146ba8ee3804ca7b3d42b1664c8440439de5214d366fec7d3a/yarl-1.23.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc52310451fc7c629e13c4e061cbe2dd01684d91f2f8ee2821b083c58bd72432", size = 85988, upload-time = "2026-03-01T22:04:46.365Z" }, - { url = "https://files.pythonhosted.org/packages/8c/6c/4a90d59c572e46b270ca132aca66954f1175abd691f74c1ef4c6711828e2/yarl-1.23.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2c6b50c7b0464165472b56b42d4c76a7b864597007d9c085e8b63e185cf4a7a", size = 100566, upload-time = "2026-03-01T22:04:47.639Z" }, - { url = "https://files.pythonhosted.org/packages/49/fb/c438fb5108047e629f6282a371e6e91cf3f97ee087c4fb748a1f32ceef55/yarl-1.23.0-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:aafe5dcfda86c8af00386d7781d4c2181b5011b7be3f2add5e99899ea925df05", size = 92079, upload-time = "2026-03-01T22:04:48.925Z" }, - { url = "https://files.pythonhosted.org/packages/d9/13/d269aa1aed3e4f50a5a103f96327210cc5fa5dd2d50882778f13c7a14606/yarl-1.23.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9ee33b875f0b390564c1fb7bc528abf18c8ee6073b201c6ae8524aca778e2d83", size = 108741, upload-time = "2026-03-01T22:04:50.838Z" }, - { url = "https://files.pythonhosted.org/packages/85/fb/115b16f22c37ea4437d323e472945bea97301c8ec6089868fa560abab590/yarl-1.23.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:4c41e021bc6d7affb3364dc1e1e5fa9582b470f283748784bd6ea0558f87f42c", size = 108099, upload-time = "2026-03-01T22:04:52.499Z" }, - { url = "https://files.pythonhosted.org/packages/9a/64/c53487d9f4968045b8afa51aed7ca44f58b2589e772f32745f3744476c82/yarl-1.23.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:99c8a9ed30f4164bc4c14b37a90208836cbf50d4ce2a57c71d0f52c7fb4f7598", size = 102678, upload-time = "2026-03-01T22:04:55.176Z" }, - { url = "https://files.pythonhosted.org/packages/85/59/cd98e556fbb2bf8fab29c1a722f67ad45c5f3447cac798ab85620d1e70af/yarl-1.23.0-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f2af5c81a1f124609d5f33507082fc3f739959d4719b56877ab1ee7e7b3d602b", size = 100803, upload-time = "2026-03-01T22:04:56.588Z" }, - { url = "https://files.pythonhosted.org/packages/9e/c0/b39770b56d4a9f0bb5f77e2f1763cd2d75cc2f6c0131e3b4c360348fcd65/yarl-1.23.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6b41389c19b07c760c7e427a3462e8ab83c4bb087d127f0e854c706ce1b9215c", size = 100163, upload-time = "2026-03-01T22:04:58.492Z" }, - { url = "https://files.pythonhosted.org/packages/e7/64/6980f99ab00e1f0ff67cb84766c93d595b067eed07439cfccfc8fb28c1a6/yarl-1.23.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:1dc702e42d0684f42d6519c8d581e49c96cefaaab16691f03566d30658ee8788", size = 93859, upload-time = "2026-03-01T22:05:00.268Z" }, - { url = "https://files.pythonhosted.org/packages/38/69/912e6c5e146793e5d4b5fe39ff5b00f4d22463dfd5a162bec565ac757673/yarl-1.23.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:0e40111274f340d32ebcc0a5668d54d2b552a6cca84c9475859d364b380e3222", size = 108202, upload-time = "2026-03-01T22:05:02.273Z" }, - { url = "https://files.pythonhosted.org/packages/59/97/35ca6767524687ad64e5f5c31ad54bc76d585585a9fcb40f649e7e82ffed/yarl-1.23.0-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:4764a6a7588561a9aef92f65bda2c4fb58fe7c675c0883862e6df97559de0bfb", size = 99866, upload-time = "2026-03-01T22:05:03.597Z" }, - { url = "https://files.pythonhosted.org/packages/d3/1c/1a3387ee6d73589f6f2a220ae06f2984f6c20b40c734989b0a44f5987308/yarl-1.23.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:03214408cfa590df47728b84c679ae4ef00be2428e11630277be0727eba2d7cc", size = 107852, upload-time = "2026-03-01T22:05:04.986Z" }, - { url = "https://files.pythonhosted.org/packages/a4/b8/35c0750fcd5a3f781058bfd954515dd4b1eab45e218cbb85cf11132215f1/yarl-1.23.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:170e26584b060879e29fac213e4228ef063f39128723807a312e5c7fec28eff2", size = 102919, upload-time = "2026-03-01T22:05:06.397Z" }, - { url = "https://files.pythonhosted.org/packages/e5/1c/9a1979aec4a81896d597bcb2177827f2dbee3f5b7cc48b2d0dadb644b41d/yarl-1.23.0-cp311-cp311-win32.whl", hash = "sha256:51430653db848d258336cfa0244427b17d12db63d42603a55f0d4546f50f25b5", size = 82602, upload-time = "2026-03-01T22:05:08.444Z" }, - { url = "https://files.pythonhosted.org/packages/93/22/b85eca6fa2ad9491af48c973e4c8cf6b103a73dbb271fe3346949449fca0/yarl-1.23.0-cp311-cp311-win_amd64.whl", hash = "sha256:bf49a3ae946a87083ef3a34c8f677ae4243f5b824bfc4c69672e72b3d6719d46", size = 87461, upload-time = "2026-03-01T22:05:10.145Z" }, - { url = "https://files.pythonhosted.org/packages/93/95/07e3553fe6f113e6864a20bdc53a78113cda3b9ced8784ee52a52c9f80d8/yarl-1.23.0-cp311-cp311-win_arm64.whl", hash = "sha256:b39cb32a6582750b6cc77bfb3c49c0f8760dc18dc96ec9fb55fbb0f04e08b928", size = 82336, upload-time = "2026-03-01T22:05:11.554Z" }, - { url = "https://files.pythonhosted.org/packages/88/8a/94615bc31022f711add374097ad4144d569e95ff3c38d39215d07ac153a0/yarl-1.23.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1932b6b8bba8d0160a9d1078aae5838a66039e8832d41d2992daa9a3a08f7860", size = 124737, upload-time = "2026-03-01T22:05:12.897Z" }, - { url = "https://files.pythonhosted.org/packages/e3/6f/c6554045d59d64052698add01226bc867b52fe4a12373415d7991fdca95d/yarl-1.23.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:411225bae281f114067578891bc75534cfb3d92a3b4dfef7a6ca78ba354e6069", size = 87029, upload-time = "2026-03-01T22:05:14.376Z" }, - { url = "https://files.pythonhosted.org/packages/19/2a/725ecc166d53438bc88f76822ed4b1e3b10756e790bafd7b523fe97c322d/yarl-1.23.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:13a563739ae600a631c36ce096615fe307f131344588b0bc0daec108cdb47b25", size = 86310, upload-time = "2026-03-01T22:05:15.71Z" }, - { url = "https://files.pythonhosted.org/packages/99/30/58260ed98e6ff7f90ba84442c1ddd758c9170d70327394a6227b310cd60f/yarl-1.23.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9cbf44c5cb4a7633d078788e1b56387e3d3cf2b8139a3be38040b22d6c3221c8", size = 97587, upload-time = "2026-03-01T22:05:17.384Z" }, - { url = "https://files.pythonhosted.org/packages/76/0a/8b08aac08b50682e65759f7f8dde98ae8168f72487e7357a5d684c581ef9/yarl-1.23.0-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:53ad387048f6f09a8969631e4de3f1bf70c50e93545d64af4f751b2498755072", size = 92528, upload-time = "2026-03-01T22:05:18.804Z" }, - { url = "https://files.pythonhosted.org/packages/52/07/0b7179101fe5f8385ec6c6bb5d0cb9f76bd9fb4a769591ab6fb5cdbfc69a/yarl-1.23.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4a59ba56f340334766f3a4442e0efd0af895fae9e2b204741ef885c446b3a1a8", size = 105339, upload-time = "2026-03-01T22:05:20.235Z" }, - { url = "https://files.pythonhosted.org/packages/d3/8a/36d82869ab5ec829ca8574dfcb92b51286fcfb1e9c7a73659616362dc880/yarl-1.23.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:803a3c3ce4acc62eaf01eaca1208dcf0783025ef27572c3336502b9c232005e7", size = 105061, upload-time = "2026-03-01T22:05:22.268Z" }, - { url = "https://files.pythonhosted.org/packages/66/3e/868e5c3364b6cee19ff3e1a122194fa4ce51def02c61023970442162859e/yarl-1.23.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a3d2bff8f37f8d0f96c7ec554d16945050d54462d6e95414babaa18bfafc7f51", size = 100132, upload-time = "2026-03-01T22:05:23.638Z" }, - { url = "https://files.pythonhosted.org/packages/cf/26/9c89acf82f08a52cb52d6d39454f8d18af15f9d386a23795389d1d423823/yarl-1.23.0-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c75eb09e8d55bceb4367e83496ff8ef2bc7ea6960efb38e978e8073ea59ecb67", size = 99289, upload-time = "2026-03-01T22:05:25.749Z" }, - { url = "https://files.pythonhosted.org/packages/6f/54/5b0db00d2cb056922356104468019c0a132e89c8d3ab67d8ede9f4483d2a/yarl-1.23.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:877b0738624280e34c55680d6054a307aa94f7d52fa0e3034a9cc6e790871da7", size = 96950, upload-time = "2026-03-01T22:05:27.318Z" }, - { url = "https://files.pythonhosted.org/packages/f6/40/10fa93811fd439341fad7e0718a86aca0de9548023bbb403668d6555acab/yarl-1.23.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:b5405bb8f0e783a988172993cfc627e4d9d00432d6bbac65a923041edacf997d", size = 93960, upload-time = "2026-03-01T22:05:28.738Z" }, - { url = "https://files.pythonhosted.org/packages/bc/d2/8ae2e6cd77d0805f4526e30ec43b6f9a3dfc542d401ac4990d178e4bf0cf/yarl-1.23.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:1c3a3598a832590c5a3ce56ab5576361b5688c12cb1d39429cf5dba30b510760", size = 104703, upload-time = "2026-03-01T22:05:30.438Z" }, - { url = "https://files.pythonhosted.org/packages/2f/0c/b3ceacf82c3fe21183ce35fa2acf5320af003d52bc1fcf5915077681142e/yarl-1.23.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:8419ebd326430d1cbb7efb5292330a2cf39114e82df5cc3d83c9a0d5ebeaf2f2", size = 98325, upload-time = "2026-03-01T22:05:31.835Z" }, - { url = "https://files.pythonhosted.org/packages/9d/e0/12900edd28bdab91a69bd2554b85ad7b151f64e8b521fe16f9ad2f56477a/yarl-1.23.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:be61f6fff406ca40e3b1d84716fde398fc08bc63dd96d15f3a14230a0973ed86", size = 105067, upload-time = "2026-03-01T22:05:33.358Z" }, - { url = "https://files.pythonhosted.org/packages/15/61/74bb1182cf79c9bbe4eb6b1f14a57a22d7a0be5e9cedf8e2d5c2086474c3/yarl-1.23.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3ceb13c5c858d01321b5d9bb65e4cf37a92169ea470b70fec6f236b2c9dd7e34", size = 100285, upload-time = "2026-03-01T22:05:35.4Z" }, - { url = "https://files.pythonhosted.org/packages/69/7f/cd5ef733f2550de6241bd8bd8c3febc78158b9d75f197d9c7baa113436af/yarl-1.23.0-cp312-cp312-win32.whl", hash = "sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d", size = 82359, upload-time = "2026-03-01T22:05:36.811Z" }, - { url = "https://files.pythonhosted.org/packages/f5/be/25216a49daeeb7af2bec0db22d5e7df08ed1d7c9f65d78b14f3b74fd72fc/yarl-1.23.0-cp312-cp312-win_amd64.whl", hash = "sha256:f69f57305656a4852f2a7203efc661d8c042e6cc67f7acd97d8667fb448a426e", size = 87674, upload-time = "2026-03-01T22:05:38.171Z" }, - { url = "https://files.pythonhosted.org/packages/d2/35/aeab955d6c425b227d5b7247eafb24f2653fedc32f95373a001af5dfeb9e/yarl-1.23.0-cp312-cp312-win_arm64.whl", hash = "sha256:6e87a6e8735b44816e7db0b2fbc9686932df473c826b0d9743148432e10bb9b9", size = 81879, upload-time = "2026-03-01T22:05:40.006Z" }, - { url = "https://files.pythonhosted.org/packages/69/68/c8739671f5699c7dc470580a4f821ef37c32c4cb0b047ce223a7f115757f/yarl-1.23.0-py3-none-any.whl", hash = "sha256:a2df6afe50dea8ae15fa34c9f824a3ee958d785fd5d089063d960bae1daa0a3f", size = 48288, upload-time = "2026-03-01T22:07:51.388Z" }, -]